speedball by lindsey p. pattison wake forest … · figure 5. representative images from dat...
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FUNCTIONAL ALTERATIONS IN THE DOPAMINE TRANSPORTER OF
RODENTS FOLLOWING SELF-ADMINISTRATION OF COCAINE, HEROIN AND
SPEEDBALL
BY
LINDSEY P. PATTISON
A Dissertation Submitted to the Graduate Faculty of
WAKE FOREST UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES
in Partial Fulfillment of the Requirements
for the Degree of
DOCTOR OF PHILOSOPHY
Neuroscience
MAY 2013
Winston-Salem, North Carolina
Approved By
Scott E. Hemby, Ph.D., Advisor
Ashok N. Hegde, Ph.D., Chair
Sara R. Jones, Ph.D.
Brian A. McCool, Ph.D.
Michael A. Nader, Ph.D.
Loren H. Parsons, Ph.D.
ii
ACKNOWLEDGEMENTS
I would like to acknowledge my labmates Scot McIntosh and Amanda Grigg for
their continued assistance, but most of all their friendship. I would also like to thank my
“step-advisors,” Dr. Evgeny (Zhenya) Budygin and Dr. Steve Childers. They welcomed
me into their labs and worked extensively with me through understanding concepts and
resolving technical difficulties to ensure that I received the best training possible. And of
course, I would like to thank my advisor, Dr. Scott Hemby, for his unrelenting
professional and personal support system throughout my entire graduate career. It was
indeed a pleasure to work with an advisor who is so passionate about science and I will
greatly miss the inspiring conversations we’ve had over the years.
I would like to dedicate this dissertation to my father, Chuck Pattison, who has
been my role model as a life-long learner and has always supported my scholastic
endeavors, particularly throughout graduate school.
This research was funded by DA012498, DA021634 and DA006634 from the
National Institute on Drug Abuse.
iii
TABLE OF CONTENTS
PAGE
LIST OF ABBREVIATIONS iv
LIST OF TABLES AND FIGURES ix
ABSTRACT xii
CHAPTER
I THE DOPAMINERGIC CORRELATES OF CHRONIC COCAINE, HEROIN
AND SPEEDBALL ADMINISTRATION 1
II SPEEDBALL-INDUCED CHANGES IN ELECTRICALLY STIMULATED
DOPAMINE OVERFLOW IN RAT NUCLEUS ACCUMBENS 61
Published in Neuropharmacology September 14, 2010
III DIFFERENTIAL REGULATION OF ACCUMBAL DOPAMINE
TRANSMISSION IN RATS FOLLOWING COCAINE, HEROIN AND
SPEEDBALL SELF-ADMINISTRATION 87
Published in Journal of Neurochemistry March 19, 2012
IV EFFECTS OF COCAINE, HEROIN AND SPEEDBALL SELF-
ADMINISTRATION ON DOPAMINE TRANSPORTER BINDING SITES 118
V COMPARING IN VIVO AND IN VITRO ALTERATIONS IN DAT KINETICS
AND BINDING TO ELUCIDATE FUNCTIONAL ADAPTATIONS TO
CHRONIC SPEEDBALL SELF-ADMINISTRATION 169
APPENDIX 219
SCHOLASTIC VITAE 231
iv
LIST OF ABBREVIATIONS
[125
I]RTI-55 iodinated 3β-(4-iodophenyl)tropan-2β-carboxylic acid methyl ester
[3H] tritium
[3H]CFT tritiated 3β-(4-fluorophenyl)tropan-2β-carboxylic acid methyl ester
[3H]DA tritiated dopamine
[Ca2+
]I intracellular calcium concentration
[DA] dopamine concentration
[DA]e extracellular dopamine concentration
[DA]p concentration of dopamine release per stimulation pulse
[Na+]e extracellular sodium concentration
[Na+]i intracellular sodium concentration
3-MT 3-methoxytyramine
5-HT serotonin
6-MAM 6-monoacetylmorphine
AC adenylyl cyclase
ANOVA analysis of variance
Bmax binding density
Bmax1 high-affinity binding density
Bmax2 low-affinity binding density
Bmaxtotal high- and low-binding densities combined
Ca2+
calcium ion
CaMKII calcium/calmodulin-dependent protein kinase
cAMP 3’,5’-cyclic monophosphate
Cdk 5 cyclin-dependent kinase 5
CFT 3β-(4-fluorophenyl)tropan-2β-carboxylic acid methyl ester (WIN 35,428)
Cl- chloride ion
CNS central nervous system
v
COMT catechol-O-methyl transferase
CPE carboxypeptidase
CPu caudate putamen
D1R dopamine D1 receptor subtype
D2L dopamine D2 receptor long isoform
D2R dopamine D2 receptor subtype
D2S dopamine D2 receptor short isoform
D3R dopamine D3 receptor subtype
D4R dopamine D4 receptor subtype
D5R dopamine D5 receptor subtype
DA dopamine
DA-RT dopamine reverse transport
DAT dopamine transporter
DBH dopamine-beta-hydroxylase
DOPAC 3,4-dihydroxyphenylacetic acid
DOPAL 3,4-dihydroxyphenylacetaldehyde
DOPET 3,4-dihydroxyphenylethanol
DYN dynorphin
EGFP enhanced green fluorescent protein
ENK enkephalin
EPI epinephrine
ERK1/2 extracellular signal-regulated kinases
FR fixed-ratio
FSCV fast-scan cyclic voltammetry
GABA gamma-aminobutyric acid
GABAergic gamma-aminobutyric acid-expressing cells
GABAT gamma-aminobutyric acid transporter
vi
Gαi/o inhibitory G protein alpha subunit
Gαs/olf stimulatory G protein alpha subunit
glu glutamate
GP globus pallidus
GPCR G protein-coupled receptor
GPe globus pallidus external
GPi globus pallidus internal
hDAT human dopamine transporter
HPLC high-pressure liquid chromatography
HVA homovanillic acid
i.p. intraperitoneal
i.v. intravenous
JNK c-Jun N-terminal kinase
K+ potassium ion
Kd dissociation constant
Kd1 high-affinity dissociation constant
Kd2 low-affinity dissociation constant
Km Michaelis-Menten constant, representing apparent affinity
L-DOPA L-3,4-dihydroxyphenylalanine
LeuTAa leucine transporter purified from Aquifex aeolicus
MAO monoamine oxidase
MAPK mitogen-activated protein kinase
MAT monoamine transporter
MKP3 mitogen-activated protein kinase phosphatase 3
MOPET 3-methoxy-4-hydroxyphenylethanol
MOR mu opioid receptor
mPFC medial prefrontal cortex
vii
MSN medium spiny neuron
Na+ sodium ion
NAc nucleus accumbens
NE norepinephrine
NET norepinephrine transporter
NO nitric oxide
NPY neuropeptide Y
NT neurotensin
OCT organic cation transporter
OT olfactory tubercle
PET positron emission tomography
PFC prefrontal cortex
PI3K phosphoinositide 3-kinase
PKA protein kinase A
PKB protein kinase B
PKC protein kinase C
PP1/PP2Ac protein phosphatases 1 and 2Ac
PR progressive-ratio
PTM post-translational modification
PV parvalbumin
rDAT rat dopamine transporter
RTI-55 3β-(4-iodophenyl)tropan-2β-carboxylic acid methyl ester
s.c. subcutaneous
S1 primary binding site
S2 secondary binding site
SA self-administration
SERT serotonin transporter
viii
SN substantia nigra
SNc substantia nigra pars compacta
SP substance P
TH tyrosine hydroxylase
TM transmembrane
VMAT1 vesicular monoamine transporter 1
VMAT2 vesicular monoamine transporter 2
Vmax maximal reuptake rate
VP ventral pallidum
VTA ventral tegmental area
WF-23 2β-propanoyl-3β-(2-naphthyl) tropane
ix
LIST OF TABLES AND FIGURES
PAGE
CHAPTER I
Table 1. Effects of cocaine on the mesolimbic DA system 23
Table 2. Compounds used to elucidate mechanisms of cocaine/heroin
combinations 40
CHAPTER II
Figure 1. Representative traces of evoked DA signals detected by FSCV in rat NAc
before and 1 min after cocaine (1.0 mg/kg, i.v.), heroin (0.03 mg/kg, i.v.)
and speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin, i.v.) injection in
drug-naïve animals (upper panel) and topographical color plots of
voltammetric data before drug administration, with time on the x-axis,
applied scan potential on the y-axis and background-subtracted faradaic
current shown on the z-axis in pseudo-color (lower panel) 71
Figure 2. Electrically evoked DA efflux in the NAc of anesthetized drug-naïve rats
following a single i.v. injection of cocaine (1.0 mg/kg), heroin (0.03
mg/kg) and speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin) 72
Figure 3. DAT apparent affinity (Km, or Michaelis-Menten rate constant) in the NAc
of anesthetized drug-naïve rats following a single i.v. injection of cocaine
(1.0 mg/kg), heroin (0.03 mg/kg) and speedball (1.0 mg/kg cocaine + 0.03
mg/kg heroin) 74
Figure 4. DAT-mediated maximal reuptake rate (Vmax) in the NAc of anesthetized
drug-naïve rats following a single i.v. injection of cocaine (1.0 mg/kg),
heroin (0.03 mg/kg) and speedball (1.0 mg/kg cocaine + 0.03 mg/kg
heroin) 76
x
CHAPTER III
Figure 1. (A) Acquisition of self-administration during the first 14 days of training
rats to self-administer cocaine (250 µg/infusion), heroin (4.95 µg/infusion)
or speedball (250/4.95 µg/infusion cocaine/heroin) 98
(B) Mean interinfusion intervals for each group (n = 5) throughout the 25
day period of self-administration under an FR2 99
Figure 2. DA changes detected by FSCV in the NAc of anesthetized rats following
i.v. cocaine, speedball and heroin infusion 101
Figure 3. Electrically evoked DA efflux in the NAc of anesthetized rats
approximately 24 hours after the last chronic self-administration session,
following a single i.v. injection of cocaine (1.0 mg/kg), heroin (0.03
mg/kg) and speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin) 102
Figure 4. DAT apparent affinity (Km) in the NAc of anesthetized rats (n = 5/group)
approximately 24 hours after the last chronic self-administration session,
following a single i.v. injection of cocaine (1.0 mg/kg), heroin (0.03
mg/kg) and speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin) 105
Figure 5. (A) DAT-mediated maximal reuptake rate (Vmax) in the NAc of
anesthetized rats (n = 5/group) approximately 24 hours after the last
chronic self-administration session, following a single i.v. injection of
cocaine (1.0 mg/kg), heroin (0.03 mg/kg) and speedball (1.0 mg/kg
cocaine + 0.03 mg/kg heroin) 106
(B) Baseline, or pre-drug, Vmax calculated at three time points prior to
bolus drug infusions as compared to the baseline Vmax values of drug-
naïve rats 107
Figure 6. Comparison of electrically evoked DA efflux in NAc of drug-naïve rats
and chronically self-administering rats following a single challenge i.v.
infusion of (A) cocaine (1.0 mg/kg), (B) speedball (1.0/0.03 mg/kg
cocaine/heroin), and (C) heroin (0.03 mg/kg), and effects on the inhibition
of DA uptake, or apparent Km, in NAc following i.v. challenge infusions
of (D) cocaine (1.0 mg/kg), (E) speedball (1.0/0.03 mg/kg cocaine/heroin)
and (F) heroin (0.03 mg/kg) in chronic self-administering rats and in drug-
naïve animals (n = 5/group) [Data from drug-naïve rats is reprinted with
permission from Pattison et al., 2011] 109-110
xi
CHAPTER IV
Figure 1. SA behaviors of rats responding under an FR5 for i.v. cocaine (250
µg/inf), heroin (10 µg/inf) or speedball (250/10 µg/inf cocaine/heroin).
(A) The number of days required obtain the maximum number of 25
infusions per day varied between drug groups 131
(B) Average interinfusion intervals for rats self-administering cocaine,
heroin and speedball were also significantly different 132
Figure 2. (A) High- and (B) low-affinity DAT binding site dissociation constants
(Kd) were determined by membrane binding assays using [125
I]RTI-55 and
unlabeled RTI-55 at varying concentrations 134
Figure 3. (A) High- and (B) low-affinity DAT binding site densities (Bmax) were
determined by membrane binding assays using [125
I]RTI-55 and unlabeled
RTI-55 at varying concentrations 135
Figure 4. Percents of (A) high- and (B) low-affinity DAT binding sites were
determined using the Bmax values by defining Bmaxtotal = Bmax1 + Bmax2,
and percent high-affinity sites = (Bmax1 / Bmaxtotal) × 100 and percent low-
affinity binding sites = (Bmax2 / Bmaxtotal) × 100 136
Figure 5. Representative images from DAT quantitative autoradiography are shown
with (A) schematics of the medial NAc (bregma+2.20mm, left) and caudal
NAc (bregma+1.20mm, right) regions of interest that determined the size
and location of densitometry, as outlined in black. (B) Sample
autoradiographs of sections at the medial NAc (left) and caudal NAc
(right) levels from saline control animals with regions of interest outlined
in black 138
Table 1. Effects of chronic cocaine, heroin and speedball SA on the binding
parameters of high- and low-affinity DAT binding sites. Mean (± SEM)
dissociation constants (Kd) and binding densities (Bmax) were determined
by nonlinear regression for two-site binding of membrane binding assays
with [125
I]RTI-55 and unlabeled RTI-55 135
Table 2. Effects of chronic cocaine, heroin and speedball SA on densities of
[3H]CFT binding to DAT in rat NAc. Mean (± SEM) autoradiography data
quantified at the medial and caudal levels of the NAc are presented as
specific binding in pmol/mg of wet-weight tissue 138
xii
ABSTRACT
Lindsey P. Pattison
FUNCTIONAL ALTERATIONS IN THE DOPAMINE TRANSPORTER OF
RODENTS FOLLOWING SELF-ADMINISTRATION OF COCAINE, HEROIN AND
SPEEDBALL
Dissertation under the direction of Scott E. Hemby, Ph.D.,
Professor of Physiology and Pharmacology
Cocaine/heroin combinations (speedball) induce a synergistic elevation in
extracellular dopamine (DA) concentrations ([DA]e) in the nucleus accumbens (NAc)
that can explain the continued patterns of abuse even after seeking treatment for heroin
addiction. To further delineate the mechanism of this neurochemical synergism, in vivo
fast-scan cyclic voltammetry (FSCV) was used to compare evoked DA release and DA
transporter (DAT)-mediated reuptake kinetic parameters following acute administration
of cocaine, heroin and speedball in drug-naïve rats, as well in rats with chronic self-
administration (SA) history of cocaine, heroin and speedball. Together, the results have
shown that speedball combinations likely induced DA autoreceptor feedback in attempt
to regulate increased [DA]e, and that there is also a significant increase in baseline
reuptake rate by DAT following chronic speedball SA. In order to deduce the potential
mechanism by which DAT is altered to increase reuptake rate, cocaine-like ligands were
used in membrane binding assays and quantitative autoradiography for DAT in the NAc
of rats to assess the long-term effects of chronic SA of cocaine, heroin and speedball on
xiii
DAT high- and low-affinity binding sites. The results show a significant increase in
affinity of the DAT low-affinity binding site and a shift in DAT binding site composition
toward a greater percent of high-affinity binding sites following chronic speedball. These
binding data suggest that long-term speedball SA induces a flexibility in the DAT
substrate binding sites toward an outward facing conformation in order to increase
maximal reuptake rate in compensation for chronically elevated [DA]e. Knowledge of
these chronic alterations in DAT function may be able to provide insight into the
development of novel pharmacotherapies for the treatment of polysubstance abuse, as
well as for cocaine and heroin addictions alone.
1
CHAPTER I
THE DOPAMINERGIC CORRELATES OF CHRONIC COCAINE, HEROIN
AND SPEEDBALL ADMINISTRATION
Lindsey P. Pattison and Scott E. Hemby
The following chapter is a portion of a review in preparation to be submitted for
publication. Lindsey P. Pattison prepared the review and Scott E. Hemby acted in an
advisory and editorial capacity.
2
Introduction
According to the latest National Survey on Drug Use and Health, cocaine is the
second-most common illicit drug used by persons 12 years or older in the United States,
with 1.5 million admitted cocaine users in 2010 alone (SAMHSA, 2011b). The number of
people in the U.S. classified as a heroin abuser or as heroin dependent rose from 214,000
in 2002 to 359,000 in 2009. In 2010 alone, 699,000 Americans received treatment for
cocaine abuse and 417,000 for heroin abuse (SAMHSA, 2011b). Among patients entering
a substance abuse clinic for intravenous drug use, heroin was reported as the most
commonly injected drug and cocaine was the second-most injected drug. Approximately
15% of these patients also admitted to injecting their secondary or tertiary drug of choice,
which is often overlooked in clinic admission surveys (SAMHSA, 2011a). This suggests
that many Americans are polysubstance abusers and that the health risks associated with
intravenous injection of illicit substances may be affecting more people than predicted.
The World Health Organization defines polydrug abuse as the use of more than
one drug or type of drug by an individual, often at the same time or sequentially, and
usually with the intention of enhancing, potentiating, or counteracting the effects of
another drug. Dependence, or the compulsive need to use a drug despite problems related
to use of the substance, on one or more of the drugs is often assumed (World Health
Organization, 2013). Such patterns of substance abuse have been on the rise over the past
decades as well as incidence of emergency room admissions related to nonfatal
polysubstance overdoses (Strang et al., 1999; Stohler, 2003; Kedia et al., 2007;
EMCDDA, 2011). The use of multiple substances has a long history in the United States,
dating back to the early 1900s when it was recorded that 11.9% of narcotic addicts in
3
New York reported combination drug abuse (Kaufman, 1976). During the 1960s,
polydrug abuse increased radically in the U.S. as noted in heroin and narcotic addicts
(Kaufman, 1976).
For the past few decades, there has been clinical and experimental attention paid
to a street phenomenon in which opioid-dependent individuals, either through regular
heroin use or maintenance on synthetic opioid agents, also co-abuse cocaine (Leri et al.,
2003a). This form of polysubstance abuse where opioids and cocaine are co-administered
either simultaneously or within a short period is often referred to as “speedballing”
(Ellinwood et al., 1976; Hunt et al., 1984; Leri et al., 2003a). In a sample of treatment-
seeking heroin abusers from Sydney, Australia, 24% also admitted to co-abusing cocaine
(Darke and Hall, 1995). In a poll of heroin-addicted patients admitted to treatment in
Texas during 2010, 18% also admitted to using cocaine (NIDA, 2011). Various rationales
have been proposed to explain the combined use of cocaine and heroin in humans. These
include a reduction in the magnitude of undesired side effects, enhancement in the
positive effects of either drug alone, induction of a euphoric feeling, beyond superior
positive effects, or independent, non-additive effects even though the drugs are
administered concurrently (Kosten et al., 1987; Foltin and Fischman, 1992; Hemby et al.,
1996). The hypothesis of an intensified euphoria with speedball parallels preclinical
results showing that cocaine and heroin potentiate the reinforcing effects of one another
in studies utilizing self-administration (SA) paradigms in non-human primate models
(Mattox et al., 1997; Rowlett and Woolverton, 1997; Rowlett et al., 2005).
Compared to cocaine-dependence only, speedball users show different
psychopathologies, including increased profiles of depression, hysteria, psychopathic
4
deviation, paranoia, schizophrenia and social introversion (Malow et al., 1992; Trujillo et
al., 2011). Compared to opioid-dependence only, treatment-seeking patients with co-
dependence on cocaine and opioids tend to practice more risky drug injection and sexual
behaviors (Grella et al., 1995; Hudgins et al., 1995), exhibit antisocial personality
disorders (King et al., 2001), engage in more income-generating crimes (Strug et al.,
1985; Cross et al., 2001), and most importantly, these speedball users have worse
treatment outcomes than persons using heroin alone (Perez de los Cobos et al., 1997;
Preston et al., 1998; DeMaria et al., 2000; Downey et al., 2000; Sofuoglu et al., 2003;
Tzilos et al., 2009). Specifically, of methadone-maintained individuals that co-abused
cocaine, a 1995 study of 652 patients reported that 52% of patients continued to use
cocaine regardless of the dose of methadone (Hartel et al., 1995), and another in 1998
found that methadone was effective in significantly reducing heroin intake in 80% of
patients while only reducing cocaine intake in about 50% of patients (Magura et al.,
1998). Besides attempts of approved pharmacotherapies for heroin dependence, clinicians
have combined opioid-addiction treatment with contingency management and shown
modest success in speedball abusers who were less-severe cocaine users (Weinstock et
al., 2010). There are no approved pharmacotherapies for cocaine addiction, but some
research supports the use of psychostimulant treatment for cocaine dependence [see
(Mariani and Levin, 2012) for review]. Even so, sustained-release amphetamine
treatment reduced cocaine- but not speedball-seeking in buprenorphine-maintained
speedball polydrug abusers (Greenwald et al., 2010). These adverse ramifications of
cocaine and heroin co-abuse provide compelling evidence for preclinical research to
unmask the neurobiological substrates associated with prolonged speedball abuse,
5
compared to heroin or cocaine alone. Certainly more targeted treatment methods are
desired for this class of polysubstance abusers, both of the behavioral therapy and
pharmacotherapy nature. Much of the neurochemical research on speedball abuse
described to date has involved an important neurotransmitter system relating to addiction,
the mesolimbic dopamine system.
Dopamine neurobiology and pharmacology
Mesolimbic dopamine pathway
Dopamine (DA) as a neurotransmitter is known to be implicated in motivated
behavior and reward-driven learning (Mirenowicz and Schultz, 1994; Schultz et al., 1997;
Ikemoto and Panksepp, 1999), and it has been known for decades that DA plays a
significant role in the brain processes underlying the reinforcing actions of drugs of abuse
(Schiff, 1982; Dackis and Gold, 1985). In the central nervous system (CNS), the
dopaminergic system includes four neuronal pathways: the mesocortical, mesolimbic,
nigrostriatal and tuberoinfundibular pathways. The tuberoinfundibular pathway of the
hypothalamus projects from the arcuate nucleus to the median eminence where DA
regulates secretion of prolactin from the pituitary gland (Gore, 2008). The nigrostriatal
pathway is involved in the production of movement, and especially fine-tuning motor
movements, as part of the basal ganglia loop. DA cells project from the substantia nigra
pars compacta (SNc) to the neostriatum, and dysregulation of this pathway, specifically
loss of DA cells, results in Parkinsonism (Mink, 2008). The dopaminergic cell bodies of
the mesocortical pathway originate in the ventral tegmental area (VTA) and project to the
6
prefrontal cortex (PFC), particularly the dorsolateral prefrontal cortex in primates. This
DA pathway is thought to be involved in motivation and emotional responses, and
dysregulation of the mesocortical pathway has been implicated in schizophrenia and
other psychoses (Miller and Wallis, 2008). The fourth, and most pertinent DA pathway to
addiction, is the mesolimbic pathway, projecting from the VTA to the striatum,
particularly the nucleus accumbens (NAc) of the ventral striatum. The striatum is the
most densely innervated DA target in the brain (Yao et al., 2008).
The endogenous role of the mesolimbic system is a rewarding response for
behaviors such as eating, drinking and sex, but this pathway is also hijacked by drugs of
abuse (Wise, 1982; Koob and Bloom, 1988; Robbins et al., 1989; Koob, 1992; Koob et
al., 2008), particularly those with psychomotor stimulant properties (Wise and Bozarth,
1987). The NAc has been the primary region of focus for drug addiction research for
decades. Many peer-reviewed publications on the neurocircuitry of addiction have begun
referring to the brain reward circuitry as the mesocorticolimbic pathway, in a sense
combining the two latter DA pathways described above (Feltenstein and See, 2008; Chen
et al., 2009; Van den Oever et al., 2012). In this combined reward circuitry, dopaminergic
cells bodies of the VTA project to both the NAc and PFC, while the PFC sends glutamate
projections back to both the NAc and VTA (Carr and Sesack, 2000). Specifically the
medial PFC (mPFC), as well as the subcortical amygdala, sends dense glutamatergic
projections to the NAc (Voorn et al., 2004). The multiple cell types from these projection
areas converge to form a striatal microcircuit of synapses in the NAc that connect the
brain regions most affected by drugs of abuse. The union of dopaminergic and
glutamatergic inputs onto NAc neurons suggests that the NAc functions as a limbic-
7
motor interface where it can process the relevance of salient stimuli to initiate a
behavioral response (Sesack et al., 2003), and thus lies at the center of attention in drug
addiction research.
The gamma-aminobutyric acid (GABA)-expressing (GABAergic) medium spiny
neuron (MSN) is the predominant cell type within the NAc, making up 90-95% of total
striatal neurons. GABAergic MSNs also generate neuropeptides, about half of which
produce dynorphin (DYN) and substance P (SP), and the other half enkephalin (ENK)
and neurotensin (NT) (Smith et al., 2013). These cells are aptly named for the densely
populated spines located on their dendrites (Yao et al., 2008). Virtually every MSN
borders DA terminals due to the dense dopaminergic varicosities, which average only 4
µm distance between release sites (Gonon, 1997). Glutamatergic inputs from the PFC and
amygdala also innervate striatal MSNs and a significant subpopulation of their dendritic
spines are simultaneously contacted by dopaminergic and glutamatergic axons (Freund et
al., 1984; Smith et al., 1994). MSNs of the NAc project to the ventral pallidum (VP),
globus pallidus (GP, internal and external: GPi and GPe), substantia nigra (SN) and VTA
(Lobo, 2009; Smith et al., 2013). The reciprocal GABAergic projections from NAc back
to VTA are thought to mediate a long-loop feedback to regulate DA neuron activity, but
do so indirectly by innervating non-dopaminergic VTA neurons (Xia et al., 2011).
Besides MSNs, the remaining approximately 5-10% of striatal neurons are interneurons,
which modulate MSN activity. The four types of striatal interneurons are cholinergic
interneurons, parvalbumin (PV)-expressing GABAergic interneurons, calretinin-
expressing GABAergic interneurons and neuropeptide Y (NPY)/nitric oxide (NO)-
expressing GABAergic interneurons (Tepper et al., 2008; De Mei et al., 2009). Though
8
glutamate (Glu), GABA and acetylcholine all modulate MSN activity as well, the main
correlate thought to underlie addictive behaviors related to drugs of abuse is DA release
in the NAc.
It was first discovered that DA neurons fired in response to salient stimuli,
including intracranial self-stimulation and tones paired with food reinforcers, about half a
century ago by Olds and colleagues (Olds, 1958; Olds and Olds, 1969; Phillips and Olds,
1969). The proof that enhanced striatal DA neurotransmission was directly related to
administration of addictive drugs (alcohol, opiates, barbiturates, nicotine, amphetamine
and cocaine) came with the approach of in vivo microdialysis with electrochemical
detection (Di Chiara and Imperato, 1986; Imperato et al., 1986; 1988b; Pettit and Justice,
1989, 1991). At the same time, in vivo voltammetry for neurochemical detection of
catecholamine release and reuptake was also being used to study the enhancement of DA
neurotransmission by cocaine and amphetamine (Caviness and Wightman, 1982; Ewing
et al., 1983). More recent advances in electrophysiology and electrochemistry have also
allowed for the observation of real-time increases in striatal DA signaling of behaving
animals while responding for drugs of abuse (Carelli and Wightman, 2004).
Investigations of the specific dynamics of DA signaling regulation, from synthesis and
release to receptor activation and reuptake, have been a major focus of polydrug abuse
and addiction research in general.
9
Dopamine synthesis and metabolism
DA is classified in the catecholamine and phenethylamine families of chemicals
and is part of the monoamine class of neurotransmitters in the CNS. DA can be
synthesized in vivo in neurons and adrenal gland cells from three possible precursors: L-
tyrosine, L-phenylalanine and L-3,4-dihydroxyphenylalanine (L-DOPA). Its precursors
are able to cross the blood-brain barrier, but DA itself cannot. The pathway of DA
synthesis is L-phenylalanine to L-tyrosine by phenylalanine hydroxylase, L-tyrosine to L-
DOPA by tyrosine hydroxylase (TH), and L-DOPA to DA by aromatic L-amino acid
decarboxylase (Deutch and Roth, 2008). DA is also the precursor for norepinephrine
(NE, noradrenaline) and subsequently epinephrine (EPI, adrenaline), via dopamine-beta-
hydroxylase (DBH) and phenylethanolamine N-methyltransferase, respectively (Deutch
and Roth, 2008). Outside from neuronal synthesis, DA is produced in the adrenal glands
in order to generate the major catecholamine neurotransmitter of the adrenal system, EPI.
TH is the rate-limiting enzyme in catecholamine synthesis under basal conditions, but
when NE- or EPI-containing cells are activated, DBH becomes rate-limiting (Deutch and
Roth, 2008). Not all three of these catecholamines (DA, NE and EPI) are typically
present in the same brain region or type of neurons, and expression of the aforementioned
enzymes determines which catecholamine is the predominant neurotransmitter for a given
population of neurons.
DA is produced in the cytosol of neurons and transported into synaptic vesicles by
vesicular monoamine transporter 2 (VMAT2). In adrenal cells, VMAT1 is responsible for
vesicular packaging of DA, where it can be converted into NE within synaptic vesicles by
DBH (Deutch and Roth, 2008). In dopaminergic cells, DA remains stored in synaptic
10
vesicles until an action potential occurs in the neuron, forcing the vesicles to merge with
the cell membrane in the process of calcium (Ca2+
)-dependent exocytosis where DA is
released into the synapse (Schwarz, 2008). In certain situations, DA can be reverse-
transported into the synapse (Sulzer et al., 1995) and DA not stored in vesicles can be
released from the cytosol somatodendritically (Cheramy et al., 1981; Greenfield, 1985).
Once in the extracellular space, DA can act upon pre- and postsynaptic receptors to,
respectively, regulate further DA release and propagate the signal from pre- to
postsynaptic neurons. Upon dissociation from DA receptor complexes, DA is transported
back into the presynaptic neuron via the dopamine transporter (DAT), and sometimes by
the other monoamine transporters (MATs), norepinephrine transporter (NET) and
serotonin transporter (SERT), depending on the brain region and types of neurons
expressed (Deutch and Roth, 2008). Once returned to the cytosol, DA can either be
repackaged into synaptic vesicles by VMAT2 or enzymatically degraded into inactive
metabolites by monoamine oxidase (MAO) and catechol-O-methyl transferase (COMT).
DA is degraded into 3,4-dihydroxyphenylacetaldehyde (DOPAL) by MAO, and DOPAL
is further metabolized into either 3,4-dihydroxyphenylacetic acid (DOPAC) by aldehyde
dehydrogenase or into 3,4-dihydroxyphenylethanol (DOPET, or hydroxytyrosol) by
aldose reductase, the latter to a lesser extent. Finally, COMT reduces DOPAC and
DOPET to homovanillic acid (HVA) and 3-methoxy-4-hydroxyphenylethanol (MOPET),
respectively. COMT can also directly metabolize DA into 3-methoxytyramine (3-MT),
which is then degraded into HVA by MAO. HVA and MOPET metabolites of DA are
excreted in the urine (Deutch and Roth, 2008). These metabolites can also be measured in
laboratory animals modeling human drug abuse and have shown alterations following
11
treatment with drugs that act upon the mesolimbic DA system (Trulson and Ulissey,
1987; Wilson et al., 1996). Throughout its lifetime, from synthesis to release and
eventually to degradation, DA can have both excitatory and inhibitory effects on
neurotransmission, depending on which DA receptors are expressed in a given neuron.
Dopamine receptors
DA receptors have long been proposed to exist as two discrete populations,
broadly based on either excitation or inhibition of neurotransmission via opposing effects
on adenylyl cyclase (AC) and thus 3’,5’-cyclic monophosphate (cAMP) production
(Kebabian and Calne, 1979; Missale et al., 1998). The D1-like family of DA receptors
includes the D1 and D5 receptors (D1R and D5R) and the D2-like family includes D2,
D3 and D4 DA receptors (D2R, D3R and D4R). All DA receptors are G protein-coupled
receptors (GPCRs) and contain seven hydrophobic α-helix amino acid stretches, called
transmembrane (TM) domains, with TM sequence homology within each family (Probst
et al., 1992). D1-like DA receptors couple to stimulatory G proteins (Gαs/olf) to activate
AC and increase cAMP production to activate protein kinase A (PKA) and subsequent
downstream signaling systems (Monsma et al., 1990; Yao et al., 2008; Sako et al., 2010).
When cAMP levels are increased by activation of AC, PKA is in turn activated and
begins phosphorylation of cytoplasmic and nuclear proteins that regulate cellular
metabolism and ion channel functioning, and desensitize GPCRs, leading to action
potential propagation and the cellular response of neurotransmitter release (Choi et al.,
1993; Hofmann et al., 1994). The D2-like receptors couple to inhibitory G proteins
12
(Gαi/o) to inhibit AC and decrease cAMP levels (Picetti et al., 1997; Beaulieu and
Gainetdinov, 2011). D2-like receptors also influence intracellular calcium ([Ca2+
]i) levels
and a number of Ca2+
-dependent intracellular signaling processes through G protein-
independent pathways (Yao et al., 2008; De Mei et al., 2009). D2R activation leads to
reduction in Ca2+
currents (Yan et al., 1997; Missale et al., 1998) and modulation of
[Ca2+
]i likely regulates DA biosynthesis, given that Ca2+
activates the kinase
Ca2+
/calmodulin-dependent protein kinase (CaMKII) that in turn phosphorylates and
activates the rate-limiting enzyme in DA synthesis, TH (Braun and Schulman, 1995).
Besides differences in stimulatory and inhibitory signaling, D1- and D2-like
families also differ in subcellular location. D1Rs and D5Rs are found exclusively on
postsynaptic cells receiving DA signaling, such as GABAergic MSNs of the striatum
(Civelli et al., 1991). In contrast, D2Rs, D3Rs and D4Rs are located both pre- and
postsynaptically on dopaminergic neurons and DA target cells, respectively (Jackson and
Westlind-Danielsson, 1994; Tarazi et al., 1998). In addition to having dual localization,
D2Rs are a heterogeneous population formed by two splice variants. The long and short
isoforms (D2L and D2S) differ by 29 amino acids encoded by alternative splicing of the
sixth exon, which inserts into the G protein-interacting third intracellular loop of the
receptor (Gingrich and Caron, 1993; Jackson and Westlind-Danielsson, 1994). Though
D2L and D2S may be expressed both pre- and postsynaptically, D2S is responsible for
presynaptic regulation of DA synthesis and release and modulation of DAT reuptake
activity, while D2L mediates postsynaptic G protein-dependent signaling and Ca2+
-
dependent cascades (De Mei et al., 2009).
13
Of all DA receptor subtypes, D1Rs and D2Rs have the most widespread and
highest levels of expression (Vallone et al., 2000). Within the NAc, D1Rs and D2Rs are
located postsynaptically on MSNs, and D2Rs are also presynaptically expressed
throughout dendrites and axons on dopaminergic neurons originating from the VTA and
SN (Civelli et al., 1991; Jackson and Westlind-Danielsson, 1994; Tarazi et al., 1998).
There has been a dichotomous debate over the years concerning NAc MSN classification
as either distinctly D1R- or D2R-expressing (Gerfen et al., 1990; Gertler et al., 2008)
versus co-localization of both D1Rs and D2Rs within a MSN (White and Wang, 1986;
Surmeier et al., 1996; Mizuno et al., 2007); however, the debate is still evolving (Smith et
al., 2013). It is also possible that within the NAc there exists a population of MSNs with
distinct D1R or D2R expression as well as a population of MSNs with D1R and D2R co-
localization. To further complicate the issue of DA receptor localization in the NAc,
D2Rs are also expressed on striatal cholinergic interneurons (Hersch et al., 1995;
Alcantara et al., 2003) and neurons originating in the GP that innervate striatal PV-
expressing interneurons (Bevan et al., 1998). The current overall opinion is that
convergence of multiple inputs utilizing various neurotransmitters onto NAc MSNs,
which also differentially express DA (and many other) receptors, leaves researchers of
addiction and other neurological disorders involving the mesolimbic DA pathway with an
immense task to further unravel this complex system.
14
Reuptake by dopamine transporter
Once DA has activated DA receptors within the proximity of the release site,
extracellular DA is transported back into presynaptic terminals by its principal
monoamine transporter. DAT is an extrasynaptic membrane protein (Nirenberg et al.,
1996; Pickel et al., 2002; Mengual and Pickel, 2004) that is responsible for reuptake of
DA from the extracellular space back into the cytosol (Deutch and Roth, 2008). DAT is
expressed almost exclusively in dopaminergic neurons (Torres et al., 2003). In situ
hybridization has localized DAT mRNA to cell bodies of the SN and VTA in the rat brain
(Hoffman et al., 1998). Consistent with the terminal projections from the SN and VTA,
immunoreactivity assays in mouse brain have localized DAT protein expression to
presynaptic DA terminals in the striatum (particularly the NAc), OT, nigrostriatal bundle,
lateral habenula, mPFC and layers I, II and III of the cingulate cortex, as well as less-
dense reactivity in axons and dendrites in the SN and VTA (Ciliax et al., 1995; Freed et
al., 1995; Hersch et al., 1997).
The cDNA and amino acid sequences of DAT were initially described in 1991
when DAT mRNA was isolated and cloned using primers for NET and GABA
transporter (GABAT) from rat ventral midbrain tissue (Kilty et al., 1991; Shimada et al.,
1991). Of the mRNA transcripts resulting from the hybridized cDNA clones, the protein
product which conferred [3H]DA uptake in transfected cells was 619 amino acids in
length with a nonglycosylated molecular weight of 69 kDa. The rat DAT (rDAT)
sequence shows 67% amino acid identity and 81% similarity with human NET and 45%
identity and 67% similarity with rat GABAT (Shimada et al., 1991). Rat DAT and human
DAT (hDAT) exhibit 93% amino acid identity, but hDAT contains 620 amino acids
15
(National Center for Biotechnology Information, 2013) and displays an approximate 75
kDa molecular weight in wild-type form (Li et al., 2004). Similar to both NET and
GABAT, the DAT protein contains 12 putative TM-spanning domains across species.
Both amino- and carboxyl-terminals are located intracellularly, with several predicted
protein kinase sites. DAT also contains potential sites for N-linked glycosylation on its
second extracellular loop. Four N-glycosylation sites were identified from rat cDNA on
the second extracellular loop (Kilty et al., 1991; Shimada et al., 1991), and three N-
glycosylation sites were identified on the same loop in DAT coding regions from Old
World macaque monkeys, which exhibit 98.9% sequence homology to the cloned hDAT
(Miller et al., 2001). Human DAT is proposed to exhibit three N-linked glycosylation
sites on the second extracellular loop, as well (Beuming et al., 2008). N-glycosylation of
DAT promotes stable expression in the plasma membrane, allowing for proper binding
and transport function. In fact, blockade of glycosylation or removal of canonical
glycosylation sites results in both reduced surface expression and intracellular DAT
levels. Although non-glycosylated DAT is still expressed in the plasma membrane, it is
less stable at the cell surface due to more rapid endocytosis than glycosylated DAT, and
the non-glycosylated form shows a sharp reduction in maximal DA reuptake rate by DAT
(Li et al., 2004).
DAT is a member of the sodium/chloride (Na+/Cl
-)-dependent transporter of the
monoamine family. It uses the electrochemical gradient of the cell created by the
sodium/potassium (Na+/K
+) ATPase to drive transport by coupling the reuptake of one
DA molecule with inward transport two sodium ions (Na+) and the outward transport of
one chloride ion (Cl-) (Krueger, 1990; Gu et al., 1994). The binding of two Na
+, one Cl
-
16
and one DA is sequential (Torres et al., 2003). Chen at al. showed in gramicidin-
perforated DAT-expressing cells that the intracellular concentration of Na+ ([Na
+]i) plays
an important role in affecting the access of DA to external binding sites of DAT on
depolarized plasma membranes (Chen and Reith, 2004). In order for the transport to be
energetically favorable, extracellular Na+ concentration ([Na
+]e) must be greater than
[Na+]i to perpetuate transport with the concentration gradient. To date, the crystal
structure of DAT has yet to be described, but in 2005 the crystal structure of a bacterial
leucine transporter from Aquifex aeolicus (LeuTAa), which is a homologue to Na+/Cl
--
dependent neurotransmitter transporters, revealed the LeuTAa core determinants of
substrate binding and architecture of the internal and external gates required for transport,
which may be suggestive of DAT binding sites and gating control (Yamashita et al.,
2005). TM domains one, three, six and eight are thought to be implicated in transporter
substrate binding for both LeuTAa and DAT (Yamashita et al., 2005; Beuming et al.,
2008; Merchant and Madura, 2012). Specific breaks in the helical structures of TM1 and
TM6, along with nearby residues of TM3 and TM8, are predicted to comprise the protein
core where substrate and Na+ would bind (Yamashita et al., 2005).
Molecular modeling of free energy profiles of LeuTAa support a primary and
secondary binding pocket, and comparison of the free energy profiles for DA and cocaine
in DAT suggests that the binding site of cocaine is located in the secondary binding
pocket of DAT (Merchant and Madura, 2012). Other studies utilizing computational
modeling of amino-acid mutations combined with site-directed in vitro mutations at
various locations on DAT also support distinct or minimally-overlapping DA and cocaine
binding sites, suggesting that cocaine’s role in blocking DA reuptake may be caused by
17
an allosteric modulation instead of direct binding site blockade (Lin and Uhl, 2002; Uhl
and Lin, 2003; Loland et al., 2004; Volz and Schenk, 2005; Chen et al., 2006; Huang et
al., 2009) [but see (Beuming et al., 2008)]. Using different experimental techniques of
radioligand binding, it has been shown for some time with certain ligands that DAT
contains both a high- and low-affinity binding site (Madras et al., 1989a; Madras et al.,
1989b; Boja et al., 1992; Pristupa et al., 1994; Staley et al., 1994; Gracz and Madras,
1995; Rothman et al., 1995; Letchworth et al., 1999; Katz et al., 2000; Mash et al., 2002).
Whether such high- and low-affinity binding sites may represent distinct binding sites of
DA and cocaine on the DAT has not yet been experimentally investigated. Yet, the
affinities of DAT ligands for high- and low-affinity DAT binding sites may be
dynamically regulated by drugs of abuse (Kish et al., 2001; Samuvel et al., 2008).
DAT function is dynamically regulated and modulated by several processes,
including phosphorylation-dependent and –independent post-translational modifications
(PTMs). These PTMs can change intrinsic activity, alter turnover, control exocytic fusion
with the plasma membrane and regulate sequestration of DAT from the plasma
membrane (Ramamoorthy et al., 2011). Activity of several enzymes, particularly protein
kinases, has been linked to DAT functional regulation. The enzymes include, but are not
limited to: PKA, protein kinase C (PKC), phosphoinositide 3-kinase (PI3K), mitogen-
activated protein kinase (MAPK), extracellular signal-regulated kinases (ERK1/2),
protein kinase B (PKB, or Akt), CaMKII, cyclin-dependent kinase 5 (Cdk 5),
carboxypeptidase E (CPE), c-Jun N-terminal kinase (JNK), tyrosine kinases, mitogen-
activated protein kinase phosphatase 3 (MKP3), and protein phosphatases (PP1/PP2Ac)
(Foster et al., 2003; Moron et al., 2003; Bolan et al., 2007; Hoover et al., 2007; Foster et
18
al., 2008; Mortensen et al., 2008; Gorentla et al., 2009; Price et al., 2009; Zhang et al.,
2009). These regulatory enzymes are often activated or inhibited by other DA receptors
or associated proteins as a mechanism of dopaminergic system modulation. The predicted
intracellular domain of hDAT contains 15 serine, 9 threonine and 5 tyrosine residues as
potential phosphorylation sites for protein kinases (Foster et al., 2006). The most well-
studied PTM is phosphorylation by PKC (Huff et al., 1997; Vaughan et al., 1997; Zhang
et al., 1997; Chang et al., 2001; Page et al., 2001; Lin et al., 2003; Gorentla and Vaughan,
2005; Foster et al., 2008). Increased phosphorylation by PKC activation leads to
downregulation of DA transport activity as shown by decreased reuptake rate with no
change in apparent affinity of DAT (Zhu et al., 1997), attributable to increased
sequestration of DAT leading to decreased cell surface expression (Vaughan et al., 1997;
Holton et al., 2005). Other PTMs yet to be investigated may also contribute to regulation
of DAT binding sites.
Other more direct mechanisms can lead to DAT involvement in DA release,
known as DA reverse transport (DA-RT) or lateral release, as compared to synaptic
vesicle exocytosis of DA as described previously, also referred to as quantal release
(Leviel, 2011). Unlike quantal DA release which is dependent on neuronal firing, the
proposed mechanism of DA-RT is an exchange-diffusion process. Opazo et al. have even
linked PKC activation to glutamate-induced DA-RT (Opazo et al., 2010). Other means of
DA-RT are described as the mechanism of action of a class of abused drugs aptly referred
to as DA releasers, such as amphetamine (Pifl et al., 1995). Many other drugs of abuse,
including cocaine and heroin, also have far-reaching effects on the dopaminergic system
of the mesolimbic pathway, particularly on DA release and DAT reuptake mechanisms.
19
Pharmacology of cocaine and heroin in the brain
Effects of cocaine administration on the mesolimbic dopamine system
To understand the neurobiochemical effects of chronic speedball abuse on the DA
reward system, one must first comprehend the independent pharmacological mechanisms
of action of cocaine and heroin alone. Cocaine is a crystalline tropane alkaloid that is
obtained from leaves of Erythroxylon coca, a shrub-like tree native to western South
America. Although indigenous Americans have been chewing coca leaves for centuries,
the pure alkaloid was first isolated in 1860 and it was the first local anesthetic to be
discovered (Gold et al., 1992). As an anesthetic, cocaine blocks the initiation or
conduction of a nerve impulse at the site of local application by binding to voltage-
sensitive Na+ channels (Ritchie and Green, 1990), but it’s most prominent effect is
stimulation of the CNS. In the brain, cocaine inhibits reuptake of the monoamine
neurotransmitters serotonin (5-HT), NE and DA by binding to and blocking their
respective transporters, SERT, NET and DAT (Calligaro and Eldefrawi, 1987; Ritz and
Kuhar, 1989; Ritz et al., 1990; Bennett et al., 1995). The direct effect of MAT blockade
by cocaine is acute elevation of the extracellular concentration of the monoamine in that
brain region (Di Chiara and Imperato, 1988b; Pettit and Justice, 1989; Bradberry et al.,
1993; Florin et al., 1994). Cocaine’s well-known mood and cognition enhancing effects
create a euphoric feeling (Fischman et al., 1976; Dackis and Gold, 1985; Wise and
Bozarth, 1985), as well as physiological effects of increased locomotion and stereotypy
(Sahakian et al., 1975; Kuczenski et al., 1991; Ushijima et al., 1995), have been linked to
DAT inhibition by cocaine and subsequent increases in extracellular DA concentrations
20
([DA]e) (Wilson and Schuster, 1973; Johanson et al., 1976; de la Garza and Johanson,
1982; Fowler et al., 1989; Freed et al., 1995).
The technique of in vivo microdialysis in combination with high-pressure liquid
chromatography (HPLC) chemical detection of dialysates from rodent NAc has
previously demonstrated significant increases in [DA]e (averaging about 400% of
baseline) following acute, experimenter-delivered subcutaneous (s.c.) or intraperitoneal
(i.p.) injection of cocaine (Di Chiara and Imperato, 1988b; Zernig et al., 1997; Gerasimov
and Dewey, 1999), and during intravenous (i.v.) SA of cocaine after chronic exposure
(Pettit and Justice, 1989; Wise et al., 1995b; Hemby et al., 1997; Hemby et al., 1999;
Smith et al., 2006). In vivo fast-scan cyclic voltammetry (FSCV) studies have also
provided valuable information about cocaine-DAT interactions, as this technique affords
the ability to characterize the primary mechanisms regulating [DA]e: release, reuptake
and diffusion of DA (Greco and Garris, 2003). Numerous voltammetric reports have
confirmed potentiated increases in [DA]e with cocaine (and electrical stimulation), and
more importantly validated the mechanism by which the competitive competition of
cocaine for DAT increases [DA]e (Mateo et al., 2004; Budygin, 2007; Oleson et al., 2009;
Ferris et al., 2011; Pattison et al., 2011; Pattison et al., 2012). This is demonstrated by
increases in the Michaelis-Menten kinetic constant of apparent affinity (Km), which is
inversely related to the affinity of DAT for endogenous DA. Together, in vivo
microdialysis and voltammetry techniques have elucidated the direct mechanism of DAT
blockade by cocaine to result in elevated [DA]e in the NAc.
A number of other neurobiological consequences of chronic cocaine have been
examined, as well. DA receptor expression appears to be dynamically regulated,
21
especially by length of exposure, dose of cocaine and duration since last exposure.
Cocaine administration has shown increased (Nader et al., 2002; Beveridge et al., 2009),
decreased (Kleven et al., 1990; De Montis et al., 1998; Moore et al., 1998a) and
unchanged (Peris et al., 1990; Meador-Woodruff et al., 1993) striatal D1R density.
Similar patterns of differential expression of D2Rs following cocaine were also observed
as increased (Trulson and Ulissey, 1987; Kleven et al., 1990; Peris et al., 1990; Beveridge
et al., 2009), decreased (Kleven et al., 1990; Volkow et al., 1990; Moore et al., 1998b;
Nader et al., 2002; Bailey et al., 2008) and unchanged (Meador-Woodruff et al., 1993;
King et al., 1994) D2R striatal density. Some more reliable trends of repeated cocaine
exposure are increased DAT density (Little et al., 1993; Staley et al., 1994; Wilson et al.,
1994; Hitri et al., 1996; Letchworth et al., 1997; Little et al., 1998; Little et al., 1999;
Letchworth et al., 2001; Mash et al., 2002; Ben-Shahar et al., 2006; Bailey et al., 2008;
Miguens et al., 2008; Beveridge et al., 2009) and increased DAT uptake activity (Daws et
al., 2002; Mash et al., 2002; Samuvel et al., 2008) in striatal regions of the
mesocorticolimbic system. These latter alterations in DAT may reduce the basal
concentration of DA and subsequent cocaine-stimulated DA release, and alter the
responsiveness of DA receptors and second-messenger systems, possibly leading to
cocaine tolerance and continued abuse.
Some of these changes in DA receptor expression following cocaine are
reversible and depend on time since last cocaine exposure (Kleven et al., 1990; Peris et
al., 1990; Volkow et al., 1990; Wilson et al., 1994; Beveridge et al., 2009). Many other
experimental factors contribute to observed variances in results using animal models,
including: route of drug administration, dose of drug, contingency of drug delivery,
22
duration of exposure, total drug intake, length of withdrawal, methods used to study
receptor systems (i.e. agonists vs. antagonists, and direct vs. indirect measures of
expression or activity), and even environmental situations of the laboratory animals. Due
to the intrinsic nature of these experimental features of modeling human substance abuse,
researchers must continue to exhaust different patterns of drug use and experimental
variables in order to fully map the time course and extent of alterations in the
mesocorticolimbic DA system following cocaine exposure. Though there are a few
agreed-upon trends in DA system alterations, we cannot yet predict specifically defined
sequelae of chronic cocaine abuse. Though not exhaustive, many of these results are
described in detail in Table 1.
23
Table 1: Effects of cocaine on the mesolimbic DA system
Effect Measured
(Reference) Species
Cocaine Exposure
Paradigm
Length
of W/D
Methods of
Analyses Main Findings
General DA System
DA synthesis
(Trulson and
Ulissey, 1987)
R ED coc; 10 mg/kg i.p.;
2×/d; 15 d
60 d DOPA & HVA
accumulation
DEC DA synthesis in STR, LFB & MDB
(coc vs. sal)
DA-stimulated AC
activity (De Montis
et al., 1998)
R SA or YK coc; 1.1
mg/kg/inf i.v., FR2,
6 hr/d, 30 d
18 hr Activity assay
([3H]cAMP)
DEC AC activity in NAc (SA & YK coc vs.
sal) & in OT (YK coc vs. sal); NC in AC
activity in CPu, PFC or Hippo
DA tissue levels
(Wilson et al.,
1996)
Hu coc use for 1+ yr Tox HPLC
quantification of
DA & metabolites
DEC DA in rCaud & cCaud; trend dec DA
in NAc (coc vs. ctl)
D1 Receptor
D1R density
(De Montis et al.,
1998)
R SA or YK coc; 1.1
mg/kg/inf i.v., FR2, 6
hr/d, 30 d
18 hr memb bind
([3H]SCH 23390)
DEC D1R density in NAc (both coc vs. sal)
D1R density &
affinity
(Kleven et al.,
1990)
R ED coc; 10 mg/kg or 20
mg/kg i.p.; once/d; 15 d
20 min
or 2 wk
memb bind
([125
I]SCH 23982)
DEC D1R density in STR (coc vs. sal all Tx;
lo vs. hi, 2 wk w/d), NAc (coc vs. sal, 20
min w/d) & FC (lo vs. sal, 2 wk w/d);
INC D1R in FC (hi vs. sal, 20 min w/d);
NC in D1R affinity
23
24
Effect Measured
(Reference) Species
Cocaine Exposure
Paradigm
Length
of W/D
Methods of
Analyses Main Findings
D1R density
(Peris et al., 1990)
R ED coc; 10 mg/kg i.p.;
once/d; 1 d or 8 d
1 d, 3 d
or 1 wk
QAR
([3H]SCH 23390)
NC in D1R density in STR, NAc or VTA
D1R density
(Moore et al.,
1998a)
NHP SA coc; 0.03 mg/kg/inf
i.v., FR5; 4 hr/d, 18-22
mo
a few
hrs
QAR
([3H]SCH 23390)
DEC D1R density in cDLCPu, cVMCPu,
cNAc shell (coc vs. naïve);
NC in rNAc & rDSTR
D1R density
(Nader et al., 2002)
NHP SA coc; 0.03 mg/kg/inf
(lo) or 0.3 mg/kg/inf
(hi) i.v.; 30 inf/d; FI3
min; 5 d (initial) or
100 d (chronic)
a few
hrs
QAR
([3H]SCH 23390)
INC D1R density in cDLCaud, cVMCaud,
cOT, cNAc shell (hi & lo coc vs. naïve) & in
cDPut & cCPut (hi coc vs. naïve)
D1R density
(Beveridge et al.,
2009)
NHP SA coc; 0.3 mg/kg/inf
i.v.; 30 inf/d; FI3 min;
100 d
30 or
90 d
QAR
([3H]SCH 23390)
INC D1R density in all areas of Caud & Put,
rNAc, cNAc shell & core & OT (INC in coc
30 d w/d vs. sal; NC in 90 d w/d)
D1R density
(Meador-Woodruff
et al., 1993)
Hu Chronic coc use; no
records or duration
Tox QAR
([3H]SCH 23390)
NC in D1R density in CPu, NAc or SNr (vs.
ctl)
D1R mRNA
expression
(Meador-Woodruff
et al., 1993)
Hu Chronic coc use; no
records or duration
Tox in situ
hybridization
NC in D1R mRNA expression in CPu or
NAc (vs. ctl)
24
25
Effect Measured
(Reference) Species
Cocaine Exposure
Paradigm
Length
of W/D
Methods of
Analyses Main Findings
D2 Receptor
D2R density
(Bailey et al., 2008)
M ED coc; 15 mg/kg i.p.,
3×/day, 14 d (steady) or
escalating doses (15-30
mg/kg) over 14 d (esc)
30 min QAR
([3H]raclopride)
DEC D2R density in DLCPu, DMCPu,
VMCPu, VLCPu, NAc shell & core (steady
& esc coc vs. sal)
D2R density &
affinity
(Kleven et al.,
1990)
R ED coc; 10 mg/kg or 20
mg/kg i.p.; once/d; 15 d
20 min
or 2 wk
memb bind
([125
I]spiperone)
DEC D2R density in STR & FC (both coc
vs. sal, 20 min w/d);
INC D2R in NAc (coc vs. sal, 20 min w/d);
NC in D2R affinity
D2R density
(Peris et al., 1990)
R ED coc; 10 mg/kg i.p.;
once/d; 1 d or 8 d
1 d, 3 d
or 1 wk
QAR
([3H]spiperone)
INC D2R density in rNAc for coc vs. sal (8 d
coc, 1 d w/d)
D2R density &
affinity (Trulson
and Ulissey, 1987)
R ED coc; 10 mg/kg i.p.;
twice/d; 15 d
60 d memb bind
([3H]spiroperidol)
INC D2R density in STR, LFB & MDB
(coc vs. sal);
NC in D2R affinity
D2R density &
binding (King et
al., 1994)
R ED coc; 40 mg/kg/day
int s.c. or cont inf; 14 d
7 d memb bind
([3H]spiperone)
NC in D2R density or affinity (all Tx vs. sal)
D2R density
(Moore et al.,
1998a)
NHP SA coc; 0.03 mg/kg/inf
i.v., FR5; 4 hr/d,
18-22 mo
a few
hrs
QAR
([3H]raclopride)
DEC D2R density throughout all regions of
Caud, Put, OT & NAc shell & core (coc vs.
naïve); NC in SN & VTA
25
26
Effect Measured
(Reference) Species
Cocaine Exposure
Paradigm
Length
of W/D
Methods of
Analyses Main Findings
D2R density
(Nader et al., 2002)
NHP SA coc; 0.03 mg/kg/inf
(lo) or 0.3 mg/kg/inf
(hi) i.v.; 30 inf/d; FI3
min; 5 d (initial) or 100
d (chronic)
a few
hrs
QAR
([3H] raclopride)
DEC D2R density in rDLCaud, rCCaud,
rDPut, cDLCaud, NAc shell & core (hi & lo
coc vs. naïve) & in rVMCaud, rCPut,
cDMCaud, cCCaud, cVMCaud, cDMPut,
cCPut, cVMPut (hi coc vs. naïve)
D2R density
(Beveridge et al.,
2009)
NHP SA coc; 0.3 mg/kg/inf
i.v.; 30 inf/d; FI3 min;
100 d
30 or
90 d
QAR
([3H]raclopride)
INC D2R density in rVPut & rNAc (coc 30 d
w/d vs. sal); NC in D2R density in remaining
Put, cNAc or OT
D2R density
(Meador-Woodruff
et al., 1993)
Hu chronic coc use;
duration NR
Tox QAR
([3H]raclopride)
NC in D2R density in CPu, NAc or SNc
(coc vs. ctl)
D2R availability
(Volkow et al.,
1990)
Hu chronic coc use
(1-10 yrs)
< 1 wk
or > 1
mo
PET imaging
([18
F]N-methyl-
spiroperidol)
DEC D2R availability in STR (coc, < 1 wk
w/d vs. ctl) & NC in D2R availability in
STR (coc, > 1 mo w/d vs. ctl)
D2R mRNA
(King et al., 1994)
R ED coc; 40 mg/kg/day
int s.c. or cont inf; 14 d
7 d RT-PCR trend dec in D2R mRNA expression in CPu
(int s.c. coc vs. sal)
D2R mRNA
(Meador-Woodruff
et al., 1993)
Hu Chronic coc use;
duration NR
Tox in situ
hybridization
NC in D2R mRNA expression in CPu, NAc
or SNc (vs. ctl)
26
27
Effect Measured
(Reference) Species
Cocaine Exposure
Paradigm
Length
of W/D
Methods of
Analyses Main Findings
D2R-stimulated G
protein activity
(Bailey et al., 2008)
M ED coc; 15 mg/kg i.p.,
3×/day, 14 d (steady) or
(15-30 mg/kg) over 14 d
(esc)
30 min QAR ([35
S]GTPγS,
stimulated by
quinerolane)
INC D2R-G protein activity in VLCPu &
NAc shell in esc coc vs. sal;
NC in D2R-G protein activity in steady coc
vs. sal
DAT
DAT density
(Bailey et al., 2008)
M ED coc; 15 mg/kg i.p.,
3×/day, 14 d (steady) or
(15-30 mg/kg) over 14 d
(esc)
30 min QAR
([3H]mazindol)
INC DAT density in DLCPu, DMCPu,
VMCPu, VLCPu, OT, NAc shell & core
(esc coc vs. sal)
DAT density
(Wilson et al.,
1994)
R SA coc; 0.25 mg/kg/inf
i.v.; FR1; 24 hr/d; 7 wks
4 hr or
3 wk
QAR
([3H]WIN 35,428
&
[3H]GBR 12,935)
INC DAT density in STR, NAc shell & core,
VTA & SN (coc 4 hr w/d vs. sal); DEC DAT
density in STR, NAc shell & core, VTA &
SN (coc 3 wk w/d vs. sal)
DAT density &
affinity (Hitri et al.,
1996)
R ED coc; 40 mg/kg/day
int i.p. or cont inf; 14 d
7 d QAR
([3H]WIN 35,428)
& memb bind
([3H]GBR 12,935)
INC DAT density in CPu (cont coc vs. sal;
WIN binding); DEC DAT density in PFC
(int coc vs. sal; GBR binding); NC in DAT
density in STR (GBR); NC in DAT affinity
DAT density
(Letchworth et al.,
1997)
R ED coc; 10, 15 or 20
mg/kg i.p.; once/d; 8 d
1 hr QAR
([3H]mazindol)
INC DAT density in rNAc (lo coc vs. sal);
NC in DAT density in STR (mid & hi coc
vs. sal)
27
28
Effect Measured
(Reference) Species
Cocaine Exposure
Paradigm
Length
of W/D
Methods of
Analyses Main Findings
DAT density
(Ben-Shahar et al.,
2006)
R SA coc; 0.75 mg/kg/inf
i.v.; FR1 TO 20 s; 1 hr/d
(brief) or 6 hr/d (ext);
8+ d
14 d QAR
([3H]WIN 35,428)
INC DAT density in dSTR & NAc core;
NC in DAT density in NAc shell, mPFC or
VTA (brief coc vs. sal; NC in ext coc)
DAT density
(Miguens et al.,
2008)
R SA & YK coc; 1
mg/kg/inf i.v.; FR5 TO
30 s; 2 hr/d; 5+ wk
0, 1, 5,
or 10 d
QAR
([3H]WIN 35,428)
INC DAT density in CPu, mPFC, NAc shell
& core, VTA & SN (SA coc vs. YK coc &
vs. sal at all w/d points)
DAT density &
affinity
(Letchworth et al.,
1999)
R ED coc; 25 mg/kg i.p.;
once/d; 8 d
1 hr QAR & memb bind
([3H]PTT &
[125
I]RTI-55)
NC in DAT density in CPu, OT or NAc;
NC in DAT affinity in STR memb
(coc vs. sal)
DAT density
(Letchworth et al.,
2001)
NHP SA coc; 0.03 mg/kg/inf
(lo) or 0.3 mg/kg/inf
(hi) i.v.; 30 inf/d; FI3
min; 5 d (initial), 100 d
(chronic) or 1.5 yrs
(long-term)
a few
hrs
QAR
([3H]WIN 35,428)
INC DAT density in rNAc, cVCaud, cVPut,
cNAc shell & core, cOT (lo coc vs. sal);
INC DAT density in all cCaud & cPut areas,
cNAc shell & core, cOT (hi coc vs. sal);
INC DAT density in cVCaud, cNAc shell &
core, cOT (long-term coc vs. sal);
DEC DAT density in DLCaud & cCPut (lo
coc, initial vs. sal)
DAT density
(Beveridge et al.,
2009)
NHP SA coc; 0.3 mg/kg/inf
i.v.; 30 inf/d; FI3 min;
100 d
30 or
90 d
QAR
([3H]WIN 35,428)
INC DAT density in rCCaud, rDMCaud,
rVMCaud, rDPut, rCPut, rNAc, cCCaud,
cCPut, cVPut, cNAc shell & OT (coc 30 d
w/d vs. sal; NC in 90 d w/d)
28
29
Effect Measured
(Reference) Species
Cocaine Exposure
Paradigm
Length
of W/D
Methods of
Analyses Main Findings
DAT density &
affinity (Little et
al., 1993; Little et
al., 1998; Little et
al., 1999)
Hu chronic coc abuse or
dependence;
duration NR
Tox QAR & memb bind
([3H]WIN 35,428)
INC DAT density in Caud, Put & NAc;
NC in DAT affinity (coc vs. ctl)
DAT density &
affinity (Staley et
al., 1994)
Hu COD victims; chronic
daily coc use;
duration NR
Tox memb bind
([3H]WIN 35,428)
INC DAT density in Put memb (coc vs. ctl);
NC in DAT affinity
DAT density &
affinity (Mash et
al., 2002)
Hu chronic coc abuse or
dependence;
duration NR
Tox QAR
([3H]WIN 35,428)
INC DAT density in vSTR memb
(coc vs. ctl); NC in DAT affinity
DAT density &
affinity (Wilson et
al., 1996)
Hu coc use for 1+ yr Tox memb bind
([3H]WIN 35,428)
NC in DAT density or affinity (coc vs. ctl)
DAT protein
expression (Wilson
et al., 1996)
Hu coc use for 1+ yr Tox Western blotting DEC DAT protein expression in Caud &
NAc, NC in DAT protein in Put (coc vs. ctl)
DAT mRNA &
protein expression
(Letchworth et al.,
1997; Letchworth
et al., 1999)
R ED coc; 10, 15, 20
mg/kg i.p.; once/d; 8 d
(1997); ED coc; 25
mg/kg i.p.; 2×/d; 8 d
(1999)
1 hr in situ
hybridization &
Western blotting
DEC DAT mRNA expression in VTA &
SNc (dose-dep coc vs. sal);
NC in DAT protein expression in
STR memb
29
30
Effect Measured
(Reference) Species
Cocaine Exposure
Paradigm
Length
of W/D
Methods of
Analyses Main Findings
DAT mRNA
expression
(Little et al., 1998)
Hu Chronic coc abuse or
dependence; duration
NR
Tox in situ
hybridization
DEC DAT mRNA expression in mMDB;
NC in lMDB (coc vs. ctl)
DAT uptake rate &
affinity
(Daws et al., 2002)
R ED coc; 30 mg/kg i.p.;
one inj only
90 min [3H] DA uptake INC DAT uptake rate in NAc synap
(coc vs. sal);
NC in DAT affintiy
DAT uptake rate &
affinity (Samuvel et
al., 2008)
R SA coc; 0.6 mg/kg/inf;
FR1; 2 hr/d; 10+ d
3 wk [3H] DA uptake INC DAT uptake rate in CPu & NAc synap;
INC DAT affinity in NAc synap (coc vs. sal)
DAT uptake rate &
affinity
(Mash et al., 2002)
Hu chronic coc abuse or
dependence;
duration NR
Tox [3H] DA uptake INC DAT uptake rate in STR synap
(coc vs.ctl);
NC in DAT affinity
VMAT2 density &
affinity
(Little et al., 1999)
Hu Chronic coc abuse or
dependence;
duration NR
Tox QAR
([3H]DTBZ)
DEC VMAT2 density in STR (coc vs. ctl);
NC in DAT affinity
VMAT2 density &
affinity (Wilson et
al., 1996)
Hu coc use for 1+ yr Tox memb bind
([3H]DTBZ)
DEC VMAT2 density in Caud & Put,
trend dec in VMAT2 density in NAc;
DEC VMAT2 affinity in Put (coc vs. ctl)
Abbreviations and definitions: W/D, withdrawal
M, mice
R, rats
NHP, nonhuman primates
Hu, humans
COD, cocaine overdose
coc, cocaine group
sal, saline control group
naïve, controls with no drug or saline
ctl, age-matched human controls
inf, infusion
i.v., intravenous
i.p., intraperitoneal
s.c., subcutaneous
30
31
SA, self-administration
YK, yoked, non-contingent i.v. drug
ED, experimenter delivered drug
FR, fixed-ratio
FI, fixed-interval
TO, time out
int, intermittent dose
esc, escalating dose
cont, continuous inf via osmotic pump
ext, extended access
s, seconds
min, minutes
hr, hours
d, days
wk, weeks
mo, months
NR, not reported
Tox, unknown withdrawal length but
positive toxicology exam
memb bind, radioligand binding in
membrane preparations
QAR, quantitative autoradiography on
slide-mounted sections
HPLC, high-performance liquid
chromatographic electrochemical
analyses
RT-PCR, reverse transcription
polymerase chain reaction of
isolated mRNA
DTBZ, dihydrotetrabenazine
INC, significantly increased
DEC, significantly decreased
NC, no significant change
trend dec, strong trending decrease but
not statistically different
hi, high dose
lo, low dose
mid, middle dose
all Tx, all treatments
synap, synaptosomes
LFB, limbic forebrain
FC, frontal cortex
PFC, prefrontal cortex
mPFC, medial PFC
OT, olfactory tubercle
cOT, caudal OT
Hippo, hippocampus
MDB, midbrain
mMDB, medial MDB
lMDB, lateral MDB
VTA, ventral tegmental area
SN, substantia nigra
SNr, SN pars reticulata
SNc, SN pars compacta
STR, striatum
vSTR, ventral STR
dSTR, dorsal STR
rDSTR, rostral dorsal STR
NAc, nucleus accumbens
rNAc, rostral NAc
cNAc, caudal NAc
CPu; caudate putamen (R or M)
VMCPu, ventromedial CPu
VLCPu, ventrolateral CPu
DLCPu, dorsolateral CPu
DMCPu, dorsomedial CPu
cVMCPu, caudal VMCPu
cDLCPu, caudal DLCPu
Caud, caudate (NHP or Hu)
rCaud, rostral Caud
cCaud, caudal Caud
cVCaud, caudal ventral Caud
VMCaud, ventromedial Caud
DMCaud, dorsomedial Caud
DLCaud, dorsolateral Caud
rVMCaud, rostral VMCaud
rDMCaud, rostral DMCaud
rDLCaud, rostral DLCaud
rCCaud, rostral central Caud
cCCaud, caudal central Caud
cVMCaud, caudal VMCaud
cDMCaud, caudal DMCaud
cDLCaud, caudal DLCaud
Put, putamen (NHP or Hu)
rVPut, rostral ventral Put
rDPut, rostral dorsal Put
rDMPut, rostral dorsomedial Put
rCPut, rostral central Put
cVPut, caudal ventral Put
cDPut, caudal dorsal Put
cDMPut, caudal dorsomedial Put
cVMPut, caudal ventromedial Put
cCPut, caudal central Put
31
32
Effects of heroin administration on the mesolimbic dopamine system
Like cocaine and other drugs of abuse, heroin can also affect [DA]e, but via
indirect mechanisms. Heroin was first synthesized in 1874 from morphine, a potent
analgesic used medicinally to treat severe pain, often in chronic or terminal cases.
Morphine is one of the most abundant opiates derived from the opium poppy plant,
Papaver somniferum (Sawynok, 1986; Schultz et al., 1997). Upon entering the body,
heroin is hydrolyzed rapidly into 6-monoacetylmorphine (6-MAM) and then further
hydrolyzed into morphine in the liver. Although heroin and 6-MAM can enter the brain
more readily than morphine (Sawynok, 1986), morphine is considered the active
compound in heroin due to its high affinity for opiate receptors in the brain (Jaffe and
Martin, 1990). Acutely, heroin produces subjective effects including the ability to
overcome inhibitions, relieve tensions and produce an intense euphoric effect, while
long-term heroin use provides relief of negative psychological and physiological
symptoms of opioid dependence (Mirin et al., 1976; Tschacher et al., 2003). The positive
subjective effects of acute heroin use are attributed to its mechanism of action within the
VTA and to less well-described NAc mechanisms.
Morphine binds to mu opioid receptors (MORs) located presynaptically on
GABA-releasing interneurons (Goldstein and Naidu, 1989; Klitenick et al., 1992; Devine
et al., 1993). These GABAergic interneurons are responsible for placing a tonic inhibition
on postsynaptic dopaminergic projection neurons of the mesocorticolimbic pathway.
When morphine binds to MORs, neuronal activity is decreased and the tonic inhibition of
GABA onto DA neurons is reduced. Stimulated release of GABA is also reduced upon
MOR activation (Di Chiara and North, 1992). This in turn increases the firing rate of
33
VTA dopaminergic cells (Johnson and North, 1992; Kiyatkin and Rebec, 1997;
Steffensen et al., 2006). Acute activation of MORs on VTA GABAergic interneurons
results in increased somatodendritic DA release in the VTA (Klitenick et al., 1992) as
well as increased synaptic release of DA, resulting in increased NAc [DA]e (Di Chiara
and Imperato, 1988a; Spanagel et al., 1990; Hemby et al., 1995; Wise et al., 1995a). After
a long period of speculation and studies that localized MORs to the striatum but not to a
specific cell type (Svingos et al., 1997; Ambrose et al., 2004), it has recently been shown
with whole-cell patch clamp electrophysiology of D1- and D2-enhanced green
fluorescent protein (EGFP+) MSNs that there are indeed MORs located on GABAergic
MSNs within the NAc (Ma et al., 2012). Because the NAc also provides long-loop
feedback to the VTA, heroin-induced MOR activation on GABAergic MSNs is also
disinhibitory and likely contributes to the increased firing rate of dopaminergic
projections.
In vivo microdialysis measures of NAc [DA]e following heroin SA have reported
mixed results. Using high unit doses of heroin during i.v. SA in rodents, Wise et al. were
able to obtain significantly elevated accumbal [DA]e levels comparable to those reached
during cocaine SA (Wise et al., 1995a). Moderate increases of baseline [DA]e (about
150%) have also been observed during heroin SA at unit doses that maintain stable
responding in rodents (Wise et al., 1995a; Leri et al., 2003b). However, under our
laboratory conditions, there was no significant difference in NAc [DA]e levels from
baseline following extended SA of heroin in rodents (Hemby et al., 1995; Hemby et al.,
1999; Smith et al., 2006). Conversely, acute experimenter-delivered i.v. administration of
moderate to high doses of heroin did significantly increase NAc [DA]e to about 250%
34
(Hemby et al., 1995). Acute experimenter-delivered s.c. and i.p. heroin has also shown
only modest elevations in NAc [DA]e (50-70%) over a moderate range of doses (Di
Chiara and Imperato, 1988b; Gerasimov and Dewey, 1999). This variance is likely due to
both length of exposure (acute vs. chronic) and contingency of heroin administration
during dialysate perfusion. Conversely, Lecca et al. reported that rodents performing i.v.
heroin SA showed moderately increasing levels of NAc [DA]e elevations over the time
course of four weeks of SA access, while yoked mates receiving non-contingent i.v.
heroin showed a smaller elevation in NAc [DA]e and only on day one of injections
(Lecca et al., 2007). Electrochemical detection via in vivo chronoamperometry
performed in rodents during i.v. heroin SA showed slow but long-lasting elevations in
[DA]e (Kiyatkin et al., 1993; Kiyatkin, 1994). Fewer in vivo voltammetry studies
involving heroin administration have been performed, as compared to cocaine and other
compounds acting directly on DAT. Non-stimulated FSCV in rodents during heroin SA
showed differential biphasic patterns of [DA]e levels in the NAc (Xi et al., 1998). The
current FSCV studies using electrical stimulation on i.v. heroin administration have been
unable to detect elevations in [DA]e, likely due to the high stimulation parameters
necessary to monitor DA release and reuptake events, which may mask a modest increase
in [DA]e due to heroin (Pattison et al., 2011; Pattison et al., 2012). In chronic self-
administering animals, a single bolus i.v. injection of heroin showed no change in
electrically evoked DA but in fact resulted in significantly decreased evoked DA after
one hour (Pattison et al., 2012), which may be explained in part by a reduction in VTA
DA neuron population activity following repeated drug exposure (Shen et al., 2007).
Though in vivo FSCV may not be suitable to confer the observed elevations in NAc
35
[DA]e from microdialysis, because it is a suitable technique to measure cocaine-DAT
interactions, these studies still provide an important framework for examining the
alterations in DAT kinetics following polydrug administration of cocaine-heroin
combinations.
Because heroin SA has shown only moderately increased NAc [DA]e as compared
to cocaine (Hemby et al., 1995; Wise et al., 1995a; Hemby et al., 1997; Leri et al.,
2003b), less work has been done on the effect of heroin on expression of striatal DA
receptors and DAT. One study showed significantly decreased D2R expression in the
NAc of human heroin users (Worsley et al., 2000). Correspondingly, positron emission
tomography (PET) imaging in heroin-dependent subjects has shown decreased striatal
D2/3R availability and attenuated stimulant-induced DA release (Martinez et al., 2012).
Another showed significantly decreased DAT mRNA expression in the VTA and
corresponding decreased DAT protein expression in the NAc, but not dorsal striatum, of
human heroin overdose victims (Horvath et al., 2007). Kish et al. reported increased DAT
affinity and decreased VMAT2 affinity in NAc membranes from human heroin users, but
VMAT2 protein was unchanged, suggesting that the density of DA terminals was not
reduced. They also showed decreased DA and HVA levels in the NAc, and well as
deceased TH protein in the caudate and NAc (Kish et al., 2001). Likewise, in rodent
models of human heroin abuse, heroin SA in rats resulted in decreased TH in the NAc,
but increased TH in the VTA. PKA activity was increased in the NAc of these animals,
while G protein Gi immunoreactivity was decreased, suggesting an upregulation of the
NAc cAMP system (Self et al., 1995). PKA is activated by D1Rs (Monsma et al., 1990)
and is a modulator of DAT functional activity (Gorentla et al., 2009), so it is likely that
36
there are additional unreported alterations of NAc DA receptors as well as DAT resulting
from chronic heroin exposure. Though not as abundantly reported as the effects of
chronic cocaine on the striatal DA system, these results taken together likely represent a
compensatory downregulation in DA neurotransmission in response to prolonged
dopaminergic stimulation by heroin.
Involvement of the dopaminergic system with heroin abuse has also been inferred
from behavioral studies examining the effects of DA receptor antagonists on opioid SA.
D1R antagonist SCH 23390 has been shown to attenuate heroin SA and reinstatement in
rodents (Gerrits et al., 1994; Bossert et al., 2009; Tobin et al., 2013). Equally, D1R
agonists SKF 82958 and SKF 81297 increased heroin SA in rhesus monkeys, but D2R
agonists quinpirole and NPA decreased heroin SA at certain doses (Rowlett et al., 2007).
D2R partial agonist terguride, thought to act as a functional antagonist, dose-dependently
decreased heroin SA under fixed-ratio (FR) and progressive-ratio (PR) schedules in
rodents (Zhang et al., 2010). Another DA receptor antagonist levo-tetrahydropalmatine,
thought to have greater affinity for D1Rs but also for D2/3Rs, also reduced heroin SA
and reinstatement in rodents (Yue et al., 2012). Though these compounds are not as
efficacious as the currently prescribed synthetic opioid treatments for heroin abuse and
dependence, because many other drugs of abuse do directly affect the DA system, such
reports will provide invaluable support for developing improved treatments for
polysubstance abusers that co-abuse heroin.
37
Effects of speedball administration on the mesolimbic dopamine system
It is proposed that the combined mechanisms of heroin-induced increases in VTA
DA cell firing caused by disinhibition of GABA interneurons, along with cocaine-
induced DAT blockade at the presynaptic dopaminergic terminals in the NAc, results in a
supra-additive increase in synaptic and extrasynaptic DA levels in the NAc (Hemby et
al., 1999). Garrido et al. have utilized nuclear magnetic resonance spectroscopy to
suggest a pharmacological alternative of the speedball combination, showing unique
interactions of the compounds that are suggestive of a cocaine-morphine chemical adduct
in solution and solid states (Garrido et al., 2007). Another study that supports formation
of a cocaine-heroin chemical adduct reported decreased viability in cells treated with a
simultaneous speedball mixture as compared to treatment with heroin and subsequently
with cocaine, showing increased [Ca2+
]i and mitochondrial dysfunction and other shifts in
cell death mechanisms from apoptosis toward necrosis (Cunha-Oliveira et al., 2010).
Whether a novel compound is formed by cocaine-heroin/morphine chemical interactions
is yet to be fully determined, but this is only a minor constituent to the profound
behavioral and neurochemical effects of speedball administration demonstrated in
animals and humans alike.
Behavioral evaluations of speedball administration have been fairly widely
reported and, using differential modifications of SA paradigms and lower doses that are
usually non-reinforcing alone, these studies consistently show that speedball
combinations are more reinforcing in mice, rats and nonhuman primates. Speedball SA
compared to either cocaine or heroin alone has demonstrated significant alterations in:
increased FR responses and shifts in dose-response curves (David et al., 2001) in mice;
38
increased responses in PR (Duvauchelle et al., 1998; Ward et al., 2005) and drug choice
(Ward et al., 2005) paradigms, SA escalation (Cruz et al., 2011) and upward shifts in FR-
10 dose response curves (Smith et al., 2006) in rats; and increased discriminative
stimulus effects (Negus et al., 1998; Platt et al., 2010) and increased chained FR
responses (Mattox et al., 1997) in nonhuman primates. Additionally, a clinical study in
methadone-maintained, i.v. cocaine-using humans described increased subjective ratings
including euphoria with methadone and cocaine sequential administration, and
recommended that higher doses of methadone could have a negative impact on cocaine
abuse (Foltin and Fischman, 1992). It is suspected that the incorporation of both
mechanisms of action of cocaine and heroin converging on elevations in NAc [DA]e
trigger the aforementioned behavioral responses. Indeed, several in vivo microdialysis
studies in rats have examined the effects of speedball in the NAc and found that the
combination of cocaine and heroin results in synergistic increases (from 250-1000%) in
[DA]e when acutely administered (s.c. or i.p.) by the experimenter (Zernig et al., 1997;
Gerasimov and Dewey, 1999), and upwards of 1000% increase in baseline concentrations
during SA, even after a prolonged period of training (Hemby et al., 1999; Smith et al.,
2006).
Besides these synergistic increases in NAc [DA]e during speedball SA , very little
has been published on the neurochemical effects of cocaine/heroin combinations on the
DA system. Though in vivo FSCV could not differentiate between cocaine and speedball
electrically evoked DA release in rats with SA history, these data showed a significant
upregulation in basal levels of maximal DAT reuptake rate, or Vmax, following chronic
speedball SA (Pattison et al., 2012). This is likely a compensatory mechanism for DA
39
overflow during repeated SA and may result in reduced basal DA levels in the NAc. It is
currently unknown what the alterations in striatal DA receptor and DAT expression may
be following chronic speedball. Similar to heroin, there have been some behavioral
experiments performed by several groups to investigate the contribution of DA and
opioid receptor systems on speedball SA behaviors in rodents and nonhuman primates;
these results are summarized in Table 2. Overall, these data confirm involvement of
D1Rs (Cornish et al., 2005), D2Rs (Hemby et al., 1996; Cornish et al., 2005), MORs
(Mello and Negus, 1998, 2001; Cornish et al., 2005; Mello and Negus, 2007; Martin et
al., 2008) and most likely decreased basal DA levels (Mello and Negus, 2001, 2007).
The body of work presented here will focus on the alterations in DAT kinetic and
binding parameters following chronic cocaine, heroin and speedball SA in rodents. DAT
is the primary objective of investigation as it is the target of cocaine’s mechanism of
action and sole transporter responsible for the clearance of extracellular DA in the NAc.
Due to the proposed mechanism of action of speedball and observed increases in NAc
[DA]e, it follows that the speedball combination must have unreported deleterious effects
on DAT function. There are currently no approved pharmacotherapies to aid cocaine
addicts in the prevention of relapse and because many methadone-maintained patients
still report co-abuse of cocaine, the DAT also presents itself as an option for novel
relapse-preventing therapy development. Perhaps not even as a direct pharmacotherapy
target, but if hypo-dopaminergic states result from lasting alterations in DAT function,
these must be determined in order to effectively approach treatment for the
cocaine/heroin polysubstance abusers.
40
Table 2: Compounds used to elucidate mechanisms of cocaine/heroin combinations
Compound Treatment Species Cocaine/Heroin SA Paradigm General Effect Reference
Single Compounds
Naltrexone
(opioid R antag)
1.0 - 10 mg/kg i.p.;
10 min prior
R FR10 SA: 125, 250, 500 µg/inf coc
+ 5.4 or 18 µg/inf her*
INC SA (Hemby et al.,
1996)
Eticlopride
(D2R antag)
0.03 – 0.3 mg/kg i.p.;
30 min prior
R FR10 SA: 125, 250, 500 µg/inf coc
+ 5.4 or 18 µg/inf her*
INC SA (Hemby et al.,
1996)
Β-FNA (MOR
alkylating agent)
2.5 nmol i.c. VP &
NAc; 1 nmol i.c.
VTA; 24 hr prior
R FR10 SA: 167/4.5, 83.5/2.3,
41.7/1.1 µg/inf coc/her*
INC SA (VP &
VTA only)
(Martin et al.,
2008)
Β-FNA (MOR
alkylating agent)
2.5 nmol i.c. VP &
NAc; 1 nmol i.c.
VTA; 24 hr prior
R FR10 SA: 167/4.5, 83.5/2.3,
41.7/1.1 µg/inf coc/her*
INC SA (VP &
VTA only)
(Martin et al.,
2008)
Lofexidine (α-2
adrenoreceptor
agonist)
0.1 – 0.2 mg/kg i.p.;
1 hr prior, everyday
R FR1 TO20 s: 250/25 µg/kg/inf
coc/her; extinction; tested stress- &
cue-induced reinstatement
DEC stress-
induced
reinstatement
(Highfield et al.,
2001)
SCH 23390 (D1R
antag)
1 & 6 nmol/side i.c.
NAc; 2 min prior
R PR: 600/4.5 µg/kg/inf coc/her
DEC BP (Cornish et al.,
2005)
Raclopride (D2R
antag)
3 & 10 nmol/side i.c.
NAc; 2 min prior
R PR: 600/4.5 µg/kg/inf coc/her
DEC BP (Cornish et al.,
2005)
40
41
Compound Treatment Species Cocaine/Heroin SA Paradigm General Effect Reference
CTOP (MOR
antag)
0.1 – 1.0 nmol/side
i.c. NAc; 2 min prior
R PR: 600/4.5 µg/kg/inf coc/her
DEC BP (Cornish et al.,
2005)
Naltrindole (DOR
antag)
1.0 – 10 nmol/side i.c.
NAc; 2 min prior
R PR: 600/4.5 µg/kg/inf coc/her
NC (Cornish et al.,
2005)
Naltrexone (opioid
R antag)
6.4 – 50 µg/kg i.m.;
10 min prior
NHP PR: 0.4 - 50 µg/kg/inf her + highest
dose coc to not maintain SA
DEC BP at peak
of DRC
(Rowlett et al.,
1998)
Quadazocine
(opioid R antag)
0.1 mg/kg i.m. NHP FR4(VR 16:S): 1 – 100 µg/kg/inf
coc + 0.1 – 32 µg/kg/inf her
downward shift
in DRC
(Mello et al.,
1995)
Buprenorphine
(MOR agonist)
0.075 – 0.75
mg/kg/day i.v.
NHP FR4(VR 16:S): 1 – 100 µg/kg/inf
coc + 0.1 – 10 µg/kg/inf her
downward shift
in DRC
(Mello and
Negus, 1998)
Multiple Compounds
SCH 23390 (D1R
antag) + CTOP
(MOR antag)
1 nmol SCH 23390 +
0.1 nmol CTOP per
side; NAc; 2 min prior
R PR: 600/4.5 µg/kg/inf coc/her DEC BP (Cornish et al.,
2005)
Flupenthixol (DA
antag) +
Quadazocine
(opioid R antag)
0.01/0.1 & 0.032/0.32
mg/kg Flu/Quad; Flu
3 hr prior, Quad 30
min prior
NHP FR30: 10:1 coc:her
(130 – 1300/1.3 - 130 µg/kg/inf
coc/her)
DEC DRC; DEC
FR response
rates
(Negus et al.,
1998)
41
42
Compound Treatment Species Cocaine/Heroin SA Paradigm General Effect Reference
Indatraline (DAT
inhibitor) +
Buprenorphine
(MOR agonist)
0.56 mg/kg/day Int +
0.18 mg/kg/day Bup;
10 d
NHP FR4(VR 16:S): 1 - 10 µg/kg/inf coc
+ 0.32 – 3.2 µg/kg/inf her
DEC inf &
response rates;
downward shift
in DRC
(Mello and
Negus, 2001)
d-Amphetamine
(DA releaser) +
Buprenorphine
(MOR agonist)
0.01 mg/kg/hr Amph
+ 0.237 mg/kg/day
Bup; 10 d
NHP FR2(VR 16:S): 1 - 10 µg/kg/inf coc
+ 0.32 – 3.2 µg/kg/inf her
Downward &
rightward shift in
DRC
(Mello and
Negus, 2007)
*doses for 300 g rat
Abbreviations:
R, rat
NHP, nonhuman primate
antag, antagonist
D1R, dopamine D1 receptor
D2R, dopamine D2 receptor
DAT, dopamine transporter
MOR, mu opioid receptor
DOR, delta opioid receptor
her, heroin
coc, cocaine
NAc, nucleus accumbens
VTA, ventral tegmental area
VP, ventral Pallidum
SA, self-administration
i.v., intravenous
i.c., intracranial
i.p., intraperitoneal
inf, infusion
FR, fixed-ratio
VR, variable ratio
PR, progressive-ratio
BP, breakpoint
DRC, dose response curve
INC, significantly increased
DEC, significantly decreased
NC, no change
42
43
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61
CHAPTER II
SPEEDBALL-INDUCED CHANGES IN ELECTRICALLY STIMULATED
DOPAMINE OVERFLOW IN RAT NUCLEUS ACCUMBENS
Lindsey P. Pattison, Keith D. Bonin, Scott E. Hemby, Evgeny A. Budygin
The following manuscript was accepted for publication in Neuropharmacology on
September 14, 2010. Stylistic variations are due to the requirements of the journal.
Lindsey P. Pattison, Evgeny A. Budygin and Scott E. Hemby were responsible for the
study concept and design. Lindsey P. Pattison and Evgeny A. Budygin performed the
experiments and completed the data analyses. Lindsey P. Pattison prepared the
manuscript. Keith D. Bonin manufactured essential materials to perform the experiments.
Lindsey P. Pattison, Evgeny A. Budygin and Scott E. Hemby provided critical revisions
of the manuscript. Reprinted with permission from Elsevier Limited.
62
Abstract
Cocaine/heroin combinations (speedball) induce a synergistic elevation in
extracellular dopamine concentrations ([DA]e) in the nucleus accumbens (NAc) that can
explain the increased abuse liability of speedball. To further delineate the mechanism of
this neurochemical synergism, in vivo fast-scan cyclic voltammetry (FSCV) was used to
compare NAc DA release and reuptake kinetic parameters following acute administration
of cocaine, heroin and speedball in drug-naïve rats. These parameters were extracted
from accumbal DA overflow induced by electrical stimulation of the ventral tegmental
area. Evoked DA efflux was increased following both cocaine and speedball delivery,
whereas heroin did not significantly change evoked DA release from baseline. DA efflux
was significantly greater following cocaine compared to speedball. However, DA
transporter (DAT) apparent affinity (Km) values were similarly elevated following
cocaine and speedball administration, but unaffected by heroin. Neither drug induced
substantial changes in the maximal reuptake rate (Vmax). These data, combined with
published microdialysis and electrophysiological results, indicate that the combination of
cocaine-induced competitive inhibition of DAT and the increase in the DA release
elicited by heroin is responsible for the synergistic increase in [DA]e induced by
speedball.
Keywords: cocaine, heroin, speedball, dopamine, uptake, release, voltammetry
63
1. Introduction
The co-use of cocaine and opiates, termed speedball (Leri et al., 2003a), has been
on the rise since the 1970s and represents a growing subpopulation of drug abusers
(Kosten et al., 1987; Greberman and Wada, 1994; Craddock et al., 1997). The prevalence
of cocaine use among heroin addicts ranges from 30% to 80% (Schutz et al., 1994; Leri et
al., 2003a). Negative health and social consequences of such combinations are severe,
particularly when cocaine is used intravenously (Schutz et al., 1994). Specifically, the
likelihood of positive treatment outcomes for opiate addicts decreases severely when high
amounts of cocaine are co-abused (Downey et al., 2000). Several hypotheses have been
proposed to explain the combined use of cocaine and heroin in humans, including an
enhancement of the positive effects of either drug, reduction in the magnitude or duration
of undesired side effects, induction of euphoria beyond what either drug alone provides,
or independent, non-additive effects even though the drugs are administered concurrently
(Kosten et al., 1987; Foltin and Fischman, 1992; Hemby et al., 1996). The hypothesis of
enhanced euphorigenic effects in humans is paralleled in preclinical studies, which
demonstrate that cocaine and heroin potentiate the reinforcing effects of one another in
the self-administration paradigm (Mattox et al., 1997; Rowlett and Woolverton, 1997);
however, the specific biological contributors which mediate the amplified reinforcing
effects of speedball have not been confirmed.
The potentiated euphorigenic effects in humans and the corresponding
enhancement of reinforcing effects in animal models may be based on an augmented
neurochemical response in brain pathways underlying reinforcement processes. The
mesolimbic dopamine (DA) system is recognized as a critical substrate for the reinforcing
64
effects of drugs of abuse. In general, drugs of abuse activate this pathway and stimulate
DA neurotransmission in the nucleus accumbens (NAc) in humans, nonhuman primates
and rodents (Porrino, 1993; Lyons et al., 1996; Volkow et al., 1997), which is an effect
associated with the abuse liability of such substances. Previous studies have shown that
extracellular DA concentrations ([DA]e) in the NAc are significantly elevated (300-400%
baseline) during cocaine self-administration (Pettit and Justice, 1989; Wise et al., 1995b;
Hemby et al., 1997) and moderately increased (120-150% baseline) by heroin self-
administration (Wise et al., 1995a; Leri et al., 2003b) in rats as measured by in vivo
microdialysis (but see (Hemby et al., 1995; Hemby et al., 1999; Smith et al., 2006) where
heroin self-administration did not significantly alter NAc [DA]e). Interestingly, we have
demonstrated that intravenous speedball self-administration resulted in synergistic
elevations in NAc [DA]e (~1000% of baseline) compared with cocaine (400%) or heroin
alone (no change) (Hemby et al., 1999). Subsequent studies examining self-
administration of lower dose combinations, as well as experimenter-administered
speedball combinations, have reported similar synergistic elevations (Zernig et al., 1997;
Hemby et al., 1999; Smith et al., 2006). While in vivo microdialysis studies provide
information on the extent to which NAc [DA]e is increased during speedball self-
administration, the mechanisms by which heroin potentiates the effects of cocaine on
NAc [DA]e are not fully understood.
In vivo voltammetry is an electrochemical technique that is commonly used in
conjunction with in vivo microdialysis to further characterize DA dynamics (Stamford et
al., 1989; Ng et al., 1991; Wu et al., 2001b; Mateo et al., 2004; Budygin et al., 2007;
Oleson et al., 2009a; Oleson et al., 2009b). Voltammetry facilitates analysis of DA uptake
65
kinetics aside from DA release or metabolism contributions (Zimmerman and Wightman,
1991; Wu et al., 2001a). Importantly also, the higher temporal resolution of this
technique allows the time course of DA uptake inhibition to be determined more
precisely (Budygin et al., 2000; Budygin and Jones, 2008). This is principally beneficial
when drugs are administered intravenously and therefore begin to inhibit dopamine
uptake within several seconds (Mateo et al., 2004). In the present study, we utilized in
vivo fast-scan cyclic voltammetry (FSCV) to assess electrically evoked DA release and
DAT kinetic parameters in rat NAc in pursuit of unveiling the mechanisms of
neurochemical synergy of speedball administration.
2. Methods
2.1. Animals
Male Fisher F-344 rats (120-150 days; 270-320 g; Charles River, Wilmington,
MA) were housed in acrylic cages in a temperature-controlled vivarium on a 12 h
reversed light/dark cycle (lights on at 6:00 PM). Rats were group-housed before surgery
and singly housed after catheterization. Food was restricted to maintain starting body
weight and water was available ad libitum, except during experimental sessions which
were conducted during the dark phase. All procedures were performed in accordance
with the National Institutes of Health Guide for the Care and Use of Laboratory Animals
(NIH Publication No. 80-23) revised in 1996.
66
2.2. Intravenous catheterization
Drug-naïve rats (n = 15) were anesthetized with 1.5 g/kg urethane (i.p.) and
implanted with chronic indwelling venous catheters as described previously (Hemby et
al., 1996; Hemby et al., 1997; Hemby et al., 1999). Catheters were inserted into the right
jugular vein, terminating just outside the right atrium and anchored to muscle near the
point of entry into the vein. The distal end of the catheter was attached to a syringe
containing heparinized saline. Immediately following catheterization, while still under
urethane anesthesia, in vivo fast-scan cyclic voltammetry experiments were performed.
2.3. In vivo fast-scan cyclic voltammetry
While under urethane anesthesia, rats were secured in a stereotaxic frame in a flat
skull position. Holes were drilled into the skull above the NAc and ventral tegmental area
(VTA) (AP: +1.3, L: +1.3 and AP: –5.2, L: +1.0 in mm relative to bregma, respectively).
An additional hole was drilled into the skull of the contralateral hemisphere into which an
Ag/AgCl reference electrode was implanted just below the surface of the skull and
connected to a voltammetric amplifier. A carbon fiber microelectrode (approximately 80
to 200 µm in length beyond the glass capillary in which it was contained) was secured to
the stereotaxic frame arm and also connected to the voltage amplifier. The carbon fiber
electrode was placed into the hole above the NAc, and lowered approximately 5 mm
from the surface into the striatum. A bipolar stimulating electrode was connected to a
voltage output box and lowered into the hole above the VTA approximately 7.5 mm.
Voltammetric recordings were made at the recording electrode every 100 ms for a 15 s
67
duration by applying a triangular waveform (-0.4 to +1.2 V, 400 V/s). The biphasic
stimulation applied by the stimulating electrode consisted of 60 rectangular pulses at 60
Hz, 300 µA and was activated at 5 s into each recording. Recorded signals showed an
oxidation peak at +0.6 V and a reduction peak at -0.2 V (vs. Ag/AgCl reference),
ensuring that the released chemical was indeed DA. The depths of the carbon fiber
microelectrode and bipolar stimulating electrode were adjusted from –6.2 to -7.2 and -7.5
to 8.3 mm, respectively, in order to optimize electrically evoked DA release in the NAc
core.
Once evoked DA recordings were optimized, stable readings were collected every
5 min for at least 50 min. When baseline recordings were within 10% of each other for at
least 5 measurements, drug (1 mg/kg cocaine, 0.03 mg/kg heroin or 1 mg/kg cocaine/0.03
mg/kg heroin combination; n = 5 per drug) was injected i.v. over a 6 sec period,
immediately followed by 0.2 ml of heparinized saline i.v. over another 6 sec. The time
when the 12 sec infusion (of drug then saline) ended constituted the beginning of the
experiment at time zero. Stimulated recordings were then made at 1, 5 and 10 min and
thereafter every 10 min up to 120 min following drug injection.
Carbon fiber microelectrodes were post-calibrated in vitro with known
concentrations of DA (2-5 µM). Calibrations were performed in triplicate and the average
value for the current at the peak oxidation potential was used to normalize recorded in
vivo current signals to DA concentration. The kinetic parameters of DAT (DAT apparent
affinity or the Michaelis-Menten constant, Km, and maximal velocity of uptake rate,
Vmax) were calculated using LVIT software (UNC, Chapel Hill, NC). DA reuptake by
68
DAT was assumed to follow Michaelis-Menten kinetics and the change in DA
concentration during and after stimulated release was fit using the equation:
d[DA]/dt = (f)[DA]p – (Vmax/((Km/[DA]) + 1)),
where f is the stimulation frequency (Hz), and [DA]p is the concentration of DA released
per stimulus pulse. Vmax is the Michaelis-Menten parameter for maximal uptake rate of a
first-order enzymatic reaction, such as DA reuptake by DAT. The Michaelis-Menten
constant, or DAT reuptake apparent affinity, Km, is the [DA]e required for DAT-mediated
reuptake rate to reach one half of Vmax. Baseline Km value was previously determined for
DAT in rat brain synaptosomes to be 0.16 µM (Near et al., 1988). The integral form of
this equation was used to model DA response for individual rat at all time points before
and after drug injections (Wu et al., 2001a). Under current condition, there are two
substrates competing for DAT binding, which are cocaine and endogenous DA.
Therefore, Km is actually apparent Km under this circumstance, but for convenience will
be referred to as just Km. The Km was fixed and the other variables were determined,
when pre-drug parameters were calculated. The calculation of Km requires knowledge of
Vmax and [DA]p (Wu et al., 2001a). Therefore, when a drug effect on the DA efflux was
modeled, Km became the main subject of manipulation, whereas Vmax was kept close to
the pre-drug value. Finally, [DA]p was adjusted to obtain a best fit. A detailed description
regarding a model characterizing changes in electrically evoked DA concentrations was
provided in previous publications (Wightman et al., 1988b; Wightman et al., 1988a;
Wightman and Zimmerman, 1990; Wu et al., 2001a; Oleson et al., 2009b).
69
To perform an alternative analysis of DA uptake changes induced by cocaine and
speedball administration, we fit a decaying exponential to the descending part of the
electrically evoked DA efflux. The numbers reported in this study were obtained by
fitting an exponential function of the form
y = yo + Ae-(x-xo)/t
,
to the DA concentration versus time before and 1 min after cocaine and heroin, when the
maximal effects of drugs on DA efflux were observed. Here y represents the DA
concentration, x represents the time, and y0, x0, A, and t are fitting parameters. The
quantity y0 is the background level of the DA concentration in the absence of any
electrical stimulation, x0 is the time at which the DA concentration begins to decline after
an electrical stimulation, A is the amplitude (peak) of the DA concentration at time x0,
and t represents the decay time for the decrease of DA concentration due to the reuptake
mechanism. The portion of the curves that are fit are the points corresponding to about
70% of the peak to where the concentration is less than 5% above the background
concentration value. The fitting was carried out in OriginLab’s OriginPro8 data analysis
and fitting program.
2.4. Data analysis
Statistical analyses were performed using SigmaStat 3.1 software. One-way
repeated-measures analyses of variance (ANOVA) were used to compare effects after
acute i.v. drug administration to pre-drug baseline values for evoked peak DA, DAT
apparent affinity (Km), and maximal uptake rate (Vmax) values within each drug group.
70
These data were also analyzed using two-way ANOVA with drug group (cocaine, heroin
or speedball) and time as the factors. Evoked DA values were analyzed as a percent of
baseline values (baseline defined as the average of five measurements taken at 25, 20, 15,
10 and 5 min before drug injection). All post hoc analyses were performed using
Bonferroni t-tests to compare post-drug injection values to baseline (for one-way
repeated-measures ANOVAs) and for pairwise comparisons between drugs.
3. Results
3.1. Electrically evoked peak DA
The amplitude of current as detected by FSCV in rat NAc markedly increased
after cocaine (1.0 mg/kg, i.v.) and speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin,
i.v.), but not after heroin (0.03 mg/kg, i.v.) injection (Fig. 1). As determined by one-way
repeated-measures ANOVA, cocaine significantly increased electrically evoked peak DA
values from baseline (p < 0.001) at 1, 5, 10, 20, 30, 40 and 50 min after injection (p <
0.01), and speedball also significantly increased baseline electrically evoked DA levels (p
< 0.001) at 1, 5, 10, 20, and 30 min (p < 0.005) after drug injection, as determined by
Bonferroni post hoc analyses. Acute i.v. heroin did not significantly change evoked DA
from baseline in drug-naïve animals (p = 0.529) at any time after injection. Two-way
ANOVA revealed significant differences in evoked peak DA values between drug groups
(F(2, 204) = 64.24; p < 0.001). Cocaine elicited an overall greater increase (p < 0.001) in
electrically evoked DA levels than speedball in drug-naïve animals, significantly at 1 min
after drug injections (p < 0.05; Fig. 2). Both speedball and cocaine provoked significant
increases in evoked peak DA compared to heroin from the time of injection until 30 and
71
40 min after drug injections, respectively, as determined by post hoc analyses. A
significant group × time interaction was also observed (F(16, 204) = 16.92; p < 0.001).
Figure 1.
Figure 1. Representative traces of electrically evoked DA signals detected by FSCV in
rat NAc before (solid lines) and 1 min after (dashed lines) cocaine (1.0 mg/kg, i.v.),
heroin (0.03 mg/kg, i.v.) and speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin, i.v.)
injection in drug-naïve animals (upper panel). These signals had an oxidation peak at
+0.6 V and a reduction peak at -0.2 V vs. Ag/AgCl reference, identifying the released
species as DA. Representative color plots topographically depict the voltammetric data
before drug administration, with time on the x-axis, applied scan potential on the y-axis
and background-subtracted faradaic current shown on the z-axis in pseudo-color (lower
panel).
72
Figure 2.
Figure 2. Electrically evoked DA efflux in the NAc of anesthetized drug-naïve rats
following a single i.v. injection of cocaine (1.0 mg/kg), heroin (0.03 mg/kg) and
speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin). Injections were given at time = 0
min (↑). Evoked DA efflux values are represented as a percent of the pre-drug baseline
DA concentration. All data are means ± SEM of five rats per group. *p < 0.05 for
cocaine versus speedball (two-way ANOVA followed by Bonferroni tests). Values
significantly different from baseline readings and from the heroin group are not indicated
on plots (see 3.1).
73
3.2. DAT apparent affinity
Cocaine induced a significant increase in Km from baseline (p < 0.001) with post
hoc analyses showing a significant effect (p < 0.05) at time points 1, 5, 10, 20, 30, 40, 50,
60 and 70 min following injection. Speedball resulted in a similar increase in Km values
(p < 0.001) after drug injection, with significant increases from baseline at time points
from 1 to 90 min after drug injection (p < 0.05). Heroin had no effect on baseline Km
values (p = 0.841). Two-way ANOVA showed no difference in Km between cocaine and
speedball following drug injection (p = 1.000) (Fig. 3). Both speedball and cocaine
significantly increased Km compared to heroin (F(2, 204) = 277.0; p < 0.001). A significant
group × time interaction was also observed (F(16, 204) = 64.88; p < 0.001).
74
Figure 3.
Figure 3. DAT apparent affinity (Km, or Michaelis-Menten rate constant) in the NAc of
anesthetized drug-naïve rats following a single i.v. injection of cocaine (1.0 mg/kg),
heroin (0.03 mg/kg) and speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin). Injections
were given at time = 0 min (↑). All data are means ± SEM of five rats per group. Values
significantly different from baseline readings and from the heroin group are not indicated
on plots (see 3.2).
75
3.3. DAT-mediated reuptake rate
No significant changes in Vmax were seen from baseline values after cocaine (p =
0.880). Heroin also had no effect on baseline Vmax values (p = 1.000). Speedball injection
did produce a modest (~ 10%) but significant increase (p < 0.05) in Vmax (Fig. 4). Post
hoc analyses revealed that the increase in Vmax from baseline (1816.4 ± 478.6 nM/s) was
significant at time points from 1 to 100 min (2023.6 ± 732.7 nM/s) (p < 0.005). However,
two-way ANOVA comparing average Vmax values between drugs showed no statistical
difference between the average Vmax following cocaine (1817.4 ± 662.4 nM/s) and
speedball or heroin (F(2, 204) = 3.883; p > 0.05). To avoid any confusion regarding drug-
induced uptake changes, we performed alternative analysis fitting a single exponential
decay function to the descending phase of electrically evoked DA signal. No significant
difference (t = 1.749, df = 8; p = 0.1184, unpaired t test) was revealed between effects of
cocaine and speedball on the decay time (t) for the decrease of DA concentration due to
reuptake (1.28 ± 0.28 vs. 1.85 ± 0.18 s). The same analysis demonstrated a significant
increase in the t after cocaine (0.95 ± 0.13 s for baseline value vs. 1.85 ± 0.18 s after
cocaine, t = 5.621, df = 4; p < 0.005; paired t test) and speedball (0.68 ± 0.10 s for
baseline value vs. 1.28 ± 0.28 s after speedball, t = 3.263, df = 4; p < 0.05; paired t test).
Taken together, these results indicate the marked decrease in the accumbal DA reuptake
following acute cocaine and speedball administration.
76
Figure 4.
Figure 4. DAT-mediated maximal reuptake rate (Vmax) in the NAc of anesthetized drug-
naïve rats following a single i.v. injection of cocaine (1.0 mg/kg), heroin (0.03 mg/kg)
and speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin). Injections were given at time = 0
min (↑). All data are means ± SEM of five rats per group. Values significantly different
from baseline readings and from the heroin group are not indicated on plots (see 3.3).
77
4. Discussion
The proposed mechanism of speedball’s actions on the mesolimbic DA system is
a result of combinatory effects of cocaine and heroin on NAc [DA]e. Cocaine blocks
DAT on dopaminergic terminals as well as cell bodies to increase extracellular DA
concentrations (Ritz et al., 1987; Koob and Bloom, 1988; Pettit and Justice, 1989;
Volkow et al., 1997). The DA uptake inhibition leads to several different
pharmacological consequences. The inhibition of soma firing rate due to the activation of
DA autoreceptors is one of the well-described outcomes that should diminish basal DA
release in the NAc. However, the DA release induced by electrical stimulation and
measured by FSCV is increased, since cocaine inhibits DA reuptake between multiple
electrical pulses (Mateo et al., 2004; Oleson et al., 2009a; Oleson et al., 2009b). Heroin
binds µ-opioid receptors to inhibit VTA GABAergic interneurons and remove a tonic
inhibition of DA neurons, thus upregulating cell firing rates and consequently DA release
at NAc terminals (Leone et al., 1991; Johnson and North, 1992; Self et al., 1995). We
evaluated the changes in kinetic parameters of DA release and uptake in order to better
understand the neurobiological substrates involved in the potentiating effects of speedball
on NAc [DA]e.
A significant increase in the magnitude of evoked DA release was observed
following both cocaine and speedball injections. The maximal effect of intravenously
administrated drugs on evoked DA release in the NAc was found to occur one minute
after administration, which is consistent with previous findings in our lab (Mateo et al.,
2004; Oleson et al., 2009a; Oleson et al., 2009b) and correlates with the time it takes for
cocaine to reach peak brain levels (Fowler et al., 1998). Kinetic analyses of the
78
electrically evoked DA signals recorded during cocaine and speedball time courses
indicated that both effects are associated with an increase in the apparent Km for DA
uptake. Importantly, it was previously indicated that the cocaine-induced increase in the
electrically evoked DA release measured by FSCV in vivo is preferentially due to the
decrease in DA reuptake (increase in the apparent Km) (Mateo et al., 2004; Oleson et al.,
2009a; Oleson et al., 2009b). Since the Km changes were indistinguishable between
cocaine and speedball groups, the possibility that heroin makes cocaine more efficient in
inhibiting DA uptake when these two drugs are combined can be ruled out. Because Km
was unaffected by heroin, the elevation in Km due to speedball is likely attributable to the
cocaine component alone. Therefore, changes in the affinity of the DAT cannot be
involved in the potentiating effect of speedball on extracellular DA concentrations.
The magnitude of the increase in evoked DA concentrations was significantly
greater following cocaine in comparison with speedball administration. At first glance,
these voltammetric results may appear contradictory to previously published
microdialysis data (Zernig et al., 1997; Hemby et al., 1999; Smith et al., 2006), but the
findings are in fact compatible. Microdialysis provides an assessment of the steady state
extracellular levels of DA in the region of interest, but with relatively poor temporal
resolution (minutes) (Jones et al., 1999). In contrast, FSCV does not allow assessment of
basal DA concentrations, but detects evoked DA concentrations with subsecond
resolution, allowing DA dynamics to be measured in real time (Budygin and Jones,
2008). Therefore, prompt adaptive changes in DA release and uptake can be detected
with this approach. Taking this into account, the attenuated amplification in electrically
evoked DA effluxes observed following speedball administration compared to cocaine
79
alone is likely due to feedback induced by greater accumulation of DA in NAc
extracellular space after the speedball administration.
Several mechanisms can be considered in this regard. Post-synaptic D2 DA
receptors in the NAc provide indirect feedback to DA neurons via long pathways
(Hommer and Bunney, 1980), while pre-synaptic D2 DA receptors on dopaminergic
terminals and somatodendrites function as autoreceptors (Starke et al., 1989; Wolf and
Roth, 1990; Bunney et al., 1991). Pre-synaptic D2 autoreceptors maintain dopaminergic
homeostasis via feedback mechanisms, which include regulation of DA release
(Uchimura et al., 1986; Herdon et al., 1987; Cardozo and Bean, 1995; Wu et al., 2002).
For example, microdialysis assessment of DA in wild type and D2 receptor knockout
mice (D2R-/-
) following acute injections of cocaine or morphine showed that D2R-/-
mice
exhibited a significantly greater increase in [DA]e in the striatum than wild type mice
(Rouge-Pont et al., 2002). In vitro voltammetric assessment found an increase in
electrically evoked DA release when amphetamine was applied in the presence of the D2
antagonist sulpiride compared to amphetamine alone. Moreover, a greater peak DA
amplitude from amphetamine was observed in striatal slices from D2R-/-
mice in
comparison with wild type mice (Schmitz et al., 2002). Even though amphetamine is
known to elicit DA overflow in the NAc (Fischer and Cho, 1979; Raiteri et al., 1979;
Sulzer et al., 1993; Sulzer et al., 1995; Jones et al., 1998), stimulation-dependent DA
release is decreased by amphetamine (Jones et al., 1998), mostly due to release-regulating
D2 autoreceptor activation which inhibits electrically evoked DA release (Schmitz et al.,
2002). Similarly, markedly increased extracellular DA induced by cocaine (~400 %) and
speedball (~1000%) likely activates release-regulating autoreceptors, decreasing
80
electrically evoked DA release. However, post-synaptic D2 receptors which provide
release inhibition via long, indirect feedback loops can be also involved in this effect.
Since the magnitude of NAc [DA]e is greater following speedball compared to cocaine
administration, D2 feedback initiated by DA overflow from cocaine would be of lesser
magnitude compared to speedball. Therefore, electrically evoked DA release detected by
voltammetry is reduced following speedball administration compared to cocaine alone.
In agreement with this speculation, the dose of heroin used in this study did not
significantly affect electrically evoked DA release. As mentioned previously, heroin
administration increases dopaminergic cell firing rates via activation of mu opiate
receptors on VTA GABAergic neurons causing hyperpolarization and removal of tonic
inhibition on dopaminergic cells (Leone et al., 1991; Johnson and North, 1992; Self et al.,
1995). In vivo extracellular electrophysiological recordings have shown that acute heroin
decreases VTA GABAergic cell firing rates (Steffensen et al., 2006) and microdialysis
studies have shown modest increases in NAc [DA]e following heroin administration
(Wise et al., 1995a; Zernig et al., 1997; Leri et al., 2003b). Perhaps a higher dose of
heroin would better facilitate detection of heroin-induced increases in extracellular DA
levels, which would likely be observable as a decrease in electrically evoked DA release.
In agreement with such a suggestion, we observed decreased electrically evoked DA
release following high doses of ethanol (Budygin et al., 2001; Jones et al., 2006), which
reliably increased basal DA levels measured by microdialysis (Di Chiara and Imperato,
1988; Yoshimoto et al., 1992; Weiss et al., 1993; Weiss et al., 1996).
DA D2 receptor activation not only inhibits release but can also upregulate uptake
through DAT (Cass and Gerhardt, 1994; Hoffman and Donovan, 1994; Wu et al., 2002).
81
The attenuated increase in electrically evoked DA efflux observed after speedball
administration could be a consequence of other feedback mechanisms resulting from D2
autoreceptor induced upregulation of DAT. However, no evidence was obtained in our
experiments to support this hypothesis. Indeed, the maximal uptake rate was not notably
increased following cocaine and its combination with heroin.
Although these data revealed significant changes in electrically evoked DA
overflow in response to the enhanced NAc [DA]e elicited by speedball, mechanistically
they cannot explain the potentiation of this drug combination, since the ultimate outcome
of D2 DA autoreceptor-mediated feedback is a decrease in extracellular DA
concentration. At the same time, we have clearly demonstrated that alterations in DAT
affinity cannot contribute to the potentiation of [DA]e observed with speedball.
Therefore, our voltammetric results, when combined with published microdialysis and
electrophysiological data, indicate that the combination of cocaine-induced competitive
inhibition of the DAT (apparent Km increase, but not Vmax changes) and the modest
increase in the DA release elicited by heroin via the enhancement of firing rate, explains
the synergistic increase in extracellular DA concentrations induced by speedball in the
NAc.
Acknowledgements
The research for this study was funded by DA012498 (SEH) and DA021634 (EAB).
82
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CHAPTER III
DIFFERENTIAL REGULATION OF ACCUMBAL DOPAMINE
TRANSMISSION IN RATS FOLLOWING COCAINE, HEROIN AND
SPEEDBALL SELF-ADMINISTRATION
Lindsey P. Pattison, Scot McIntosh, Evgeny A. Budygin, Scott E. Hemby
The following manuscript was accepted for publication in Journal of Neurochemistry on
March 19, 2012. Stylistic variations are due to the requirements of the journal. Lindsey P.
Pattison, Evgeny A. Budygin and Scott E. Hemby were responsible for the study concept
and design. Lindsey P. Pattison and Scot McIntosh were responsible for the rodent
behavior. Lindsey P. Pattison performed the in vivo voltammetry experiments. Evgeny E.
Budygin and Lindsey P. Pattison performed the data analyses. Lindsey P. Pattison and
Scott E. Hemby prepared the manuscript. Lindsey P. Pattison, Evgeny A. Budygin and
Scott E. Hemby provided critical revisions of the manuscript. Reprinted with permission
provided by the Copyright Clearance Center, as a License Agreement between Lindsey P.
Pattison and John Wiley and Sons.
88
Abstract
Cocaine/heroin combinations (speedball) exert synergistic neurochemical and
behavioral effects that are thought to contribute to the increased abuse potential and
subjective effects reported by polydrug users. In vivo fast-scan cyclic voltammetry
(FSCV) was used to examine the effects of chronic intravenous self-administration (SA;
25 consecutive sessions) of cocaine (250 µg/inf), heroin (4.95 µg/inf) and speedball
(250/4.95 µg/inf cocaine/heroin) on changes in electrically evoked dopamine (DA)
efflux, maximal rate of DA uptake (Vmax) and the apparent affinity (Km) of the dopamine
transporter (DAT) in the nucleus accumbens (NAc). The increase in electrically evoked
DA was comparable following cocaine and speedball injection; however, heroin did not
increase evoked DA. DAT Km values were similarly elevated following cocaine and
speedball, but unaffected by heroin. However, speedball self-administration significantly
increased baseline Vmax, while heroin and cocaine did not change baseline Vmax,
compared to the baseline Vmax values of drug-naïve animals. Overall, elevated DA
clearance is likely the consequence of synergistic elevations of NAc extracellular DA
concentrations by chronic speedball SA, as reported previously in microdialysis studies.
The present results indicate neuroadaptive processes that are unique to cocaine/heroin
combinations and cannot be readily explained by simple additivity of changes observed
with cocaine and heroin alone.
Keywords: cocaine, dopamine, heroin, speedball, self-administration, voltammetry
89
Introduction
Polysubstance abuse remains an issue of rising importance when treating addicts,
especially the increasing population who co-abuse stimulants and opioids. The combined
use of cocaine and opiates, termed “speedball” (Leri et al., 2003), represents a growing
subpopulation of drug abusers (Kosten et al., 1987; Greberman and Wada, 1994;
Craddock et al., 1997). The prevalence of cocaine use among heroin addicts ranges from
30% to 80% (Schutz et al., 1994; Leri et al., 2003). In 2009, the most frequently reported
drug combination among European patients entering treatment was heroin and cocaine
(Addiction, 2009). A controlled clinical study indicated that the co-administration of
cocaine and morphine produced subjective effects unique to the combination and distinct
from the effects of either drug alone (Foltin and Fischman, 1992). Preclinical studies
support the concept of pharmacological uniqueness of the combination (Garrido et al.,
2007), suggesting that current pharmacotherapeutic treatment approaches for cocaine or
heroin abuse may not be as effective for individuals abusing cocaine/heroin
combinations. Consequently, a detailed understanding of speedball-induced
neurochemical changes in the brain is a prerequisite to discovering effective treatments.
Dopamine (DA) neurotransmission in the nucleus accumbens (NAc) plays an
important role in the neuropharmacological effects of drugs of abuse. The manner in
which cocaine and opiates impact the mesolimbic DA system is of particular interest,
when considering the unique neurochemical profiles reported with speedball
combinations. Numerous studies using rodent models of self-administration (SA) and
experimenter-administered delivery in combination with in vivo microdialysis have
shown that speedball induces a synergistic elevation in extracellular DA concentrations
90
([DA]e) in the NAc compared to cocaine or heroin alone (Zernig et al., 1997; Hemby et
al., 1999; Smith et al., 2006). In order to further evaluate the contribution of DAT with
regard to the neurochemical effects of speedball administration, in vivo fast-scan cyclic
voltammetry (FSCV) can be used to examine DAT reuptake kinetics following drug
administration. To this end, analysis of acute speedball effects on DA transmission in the
NAc of drug-naïve rats revealed that DAT apparent affinity values were similarly
elevated following cocaine and speedball intravenous administration, but unaffected by
heroin. Furthermore, neither cocaine, heroin nor speedball induced significant changes in
the maximal reuptake rate (Vmax) when administered acutely (Pattison et al., 2011).
Unlike a single injection, chronic cocaine administration, including drug SA
procedures, significantly affects baseline DA uptake parameters (Oleson et al., 2009).
Enhanced DA uptake rate, as measured by Vmax, has been reported in the rat NAc after a
history of cocaine exposure (Oleson et al., 2009; Addy et al., 2010) and binge (Mateo et
al., 2005) cocaine SA. Moreover, the ability of cocaine to inhibit DA uptake, measured
by an increase in apparent Km, was severely attenuated following a cocaine binge (Mateo
et al., 2005). In contrast, apparent Km was potentiated in the NAc following a cocaine
challenge in rats that repeatedly received cocaine injections (15 mg/kg, i.p., seven daily
injections) compared to those with only one pre-exposure (Addy et al., 2010). Alterations
in DA uptake parameters that take place following chronic speedball administration and
how these neuroadaptations influence subsequent acute effects of the drug combination is
unknown. In this in vivo voltammetric study, the effects were examined of intravenously
injected cocaine, heroin and the speedball combination on evoked DA release and DAT-
mediated reuptake parameters in the NAc of rats with a chronic SA history.
91
Materials and Methods
Subjects
Male Fisher F-344 rats (n=15; 120-150 days; 270-320 g; Charles River,
Wilmington, MA) were housed in acrylic cages in a temperature-controlled vivarium on a
12 hour reversed light/dark cycle (lights on at 6:00 PM). Rats were group housed before
surgery and individually housed after catheterization. Food was restricted to maintain
starting body weight and water was available ad libitum, except during experimental
sessions that were conducted during the dark phase. All procedures were performed in
accordance with the National Institutes of Health Guide for the Care and Use of
Laboratory Animals (NIH Publication No. 80-23) revised in 1996.
Drugs
Cocaine hydrochloride and heroin hydrochloride were obtained from the Drug
Supply Program of the National Institute on Drug Abuse. Pentobarbital and sodium
thiopental were purchased from the pharmacy at Wake Forest Baptist Hospital. Sodium
heparin was from Elkin-Sinn (Cherry Hill, NJ), methyl atropine nitrate and urethane were
from Sigma Chemical Co. (St Louis, MO).
92
Intravenous self-administration
Animals were pretreated with methyl atropine nitrate (10 mg/kg; i.p.) and
anesthesia was induced by administration of pentobarbital (40 mg/kg; i.p.). While
anesthetized, rats were implanted with chronic indwelling venous catheters as described
previously (Hemby et al., 1995; Hemby et al., 1996; Hemby et al., 1997; Hemby et al.,
1999). Briefly, catheters were inserted into the right jugular vein, terminating just outside
the right atrium and anchored to muscle near the point of entry into the vein. The distal
end of the catheter was guided subcutaneously to exit above the scapulae through a
Teflon shoulder harness. The harness provided a point of attachment for a spring leash
connected to a single channel swivel at the opposing end. The catheter was threaded
through the leash for attachment to a swivel. The fixed end of the swivel was connected
to a syringe (for saline and drug delivery) by polyethylene tubing. Infusions of sodium
thiopental (150 µl; 15 mg/kg; i.v.) were manually administered as needed to assess
catheter patency. Health of the rats was monitored daily by the experimenter and weekly
by institutional veterinarians according to the guidelines issued by the Wake Forest
University Animal Care and Use Committee and the National Institute of Health.
Rats were returned to their home cages and monitored for two to three days before
initiating the intravenous (i.v.) drug SA procedure. Following surgery, rats received
hourly infusions of heparinized 0.9% bacteriostatic saline (1.7 U/ml; 200 µl/hour) using a
computer controlled motor-driven syringe pump in the home cage vivarium. For SA
sessions, rats were transferred to operant conditioning cages (24.5 x 23.5 x 21 cm) that
were enclosed in sound-attenuating chambers and contained a retractable lever positioned
2.5 cm above the floor (requiring approximately 0.25 N to operate), an exhaust fan, an 8
93
ohm speaker, a tone source, a house light and a red stimulus light directly above the
retractable lever. A counterbalanced arm was mounted to the rear corner of the operant
chamber onto which the single channel swivel at the end of the rat’s leash was attached.
A motor-driven 20 ml syringe pump was attached outside of the sound-attenuating
chamber and polyethylene tubing was fed from the drug syringe into the operant chamber
through a small hole in the outer chamber.
Rats were assigned randomly into groups to self-administer cocaine (n = 5; 250
µg/inf), heroin (n = 5; 4.95 µg/inf) or speedball (n = 5; 250/4.95 µg/inf cocaine/heroin).
Responding was engendered under a fixed-ratio (FR) 1 schedule and the daily session
terminated after 15 infusions or 3 hours. Once rats consistently self-administered 15
infusions per session, the schedule was increased to FR2 for 5 training days, followed by
25 consecutive days of 15 infusions per day where stable responding was maintained (as
monitored by average inter-infusion intervals within 10%). Under these experimental
parameters, rats self-administered 3.75 mg/day of cocaine, 74.25 µg/day of heroin or 3.75
mg/day of cocaine and 74.25 µg/day of heroin (speedball).
In vivo fast-scan cyclic voltammetry
Approximately 24 hours after the last SA session, rats were anesthetized with
urethane (1.2-1.5 g/kg, i.p.) and secured in a stereotaxic frame in a flat skull position.
Trephinations were made above the NAc and ventral tegmental area (VTA) (AP: +1.3,
ML: ±1.3, and AP: –5.2, ML: ±1.0, in mm relative to bregma, respectively). An
additional trephination was made in the contralateral hemisphere into which an Ag/AgCl
94
reference electrode was implanted just below the surface of the skull and connected to a
voltammetric amplifier. A carbon fiber microelectrode (approximately 80 to 200 µm in
length beyond the glass capillary in which it was contained) was secured to the
stereotaxic frame arm and connected to the voltage amplifier. The carbon fiber electrode
was secured above the NAc trephination and lowered approximately 5 mm below the
dura matter and was lowered further by 0.2 mm increments. A bipolar stimulating
electrode was connected to a voltage output box, secured above the VTA trephination and
lowered approximately 7.5 mm below dura terminating within the medial forebrain
bundle. Voltammetric recordings were collected every 100 ms over a 15 second duration
by applying a triangular waveform (-0.4 to +1.2 V, 400 V/s). The biphasic stimulation
applied by the stimulating electrode consisted of 60 rectangular pulses at 60 Hz, 300 µA
and was activated at 5 seconds into each recording. Recorded signals exhibited an
oxidation peak at +0.6 V and a reduction peak at -0.2 V (vs. Ag/AgCl reference), the
signature cyclic voltammogram indicative of DA. The average DAT uptake rate (Vmax)
was between 1.5 and 2.5 µM/s, indicative of electrode placements in the NAc. The depths
of the carbon fiber microelectrode and bipolar stimulating electrode were adjusted from –
6.2 to -7.2 and -7.5 to 8.3 mm, respectively, in order to optimize electrically evoked DA
release in the NAc.
Once evoked DA recordings were optimized, stable readings were collected every
5 minutes for at least 50 minutes. When baseline recordings were within 10% of each
other for at least 5 measurements, drug (1.0 mg/kg cocaine, 0.03 mg/kg heroin or 1.0/0.03
mg/kg cocaine/heroin) that was previously self-administered was infused through the
previously implanted intravenous catheter over a six second period, immediately
95
followed by an infusion of 0.2 ml of heparinized saline over an additional six seconds.
The conclusion of the infusion constituted the beginning of the experiment at time zero.
Stimulated recordings were then made at 1, 5 and 10 minutes and thereafter every 10
minutes up to 120 minutes following drug injection.
Carbon fiber microelectrodes were post-calibrated in vitro with known
concentrations of DA (2-5 µM). Calibrations were performed in triplicate and the average
value for the current at the peak oxidation potential was used to normalize recorded in
vivo current signals to DA concentration. The kinetic parameters of DAT (DAT apparent
affinity or the Michaelis-Menten constant, Km, and maximal velocity of dopamine
reuptake, Vmax) were calculated using LVIT software (UNC, Chapel Hill, NC). DA
reuptake by DAT was assumed to follow Michaelis-Menten kinetics and the change in
DA concentration ([DA]) during and after stimulated release was fit using the equation:
d[DA]/dt = (f)[DA]p – (Vmax/((Km/[DA]) + 1))
where f is the stimulation frequency (Hz), and [DA]p is the concentration of DA released
per stimulus pulse. Vmax is the Michaelis-Menten parameter for maximal uptake rate of a
first-order enzymatic reaction, such as DA reuptake by DAT. Km is defined as the
dopamine concentration required for DAT-mediated reuptake rate to reach one half of
Vmax. The baseline Km value for DAT was reported previously to be 0.16 µM (Near et al.,
1988). The integral form of this equation was used to model the DA response for
individual rats at all time points before and after drug injections (Wu et al., 2001). Under
the current conditions, there are two substrates competing for DAT binding, which are
cocaine and endogenous DA. Therefore, Km is actually apparent Km under this
96
circumstance, but for convenience will be referred to as just Km. A detailed description
regarding a model characterizing changes in electrically evoked DA concentrations was
provided in previous publications (Wightman et al., 1988; Wightman and Zimmerman,
1990; Wu et al., 2001; Oleson et al., 2009).
Data analysis
One-way repeated-measures analyses of variance (ANOVAs) were used to
compare effects after acute i.v. drug administration to pre-drug baseline values for
evoked DA efflux, DAT apparent affinity (Km), and maximal velocity of dopamine
uptake (Vmax) values within each drug group. These data were also analyzed using two-
way ANOVA with drug group (cocaine, heroin or speedball) and time as the factors.
Evoked DA values were analyzed as a percent of baseline values (baseline defined as the
average of five measurements taken at 25, 20, 15, 10 and 5 minutes prior to drug
injection). All post hoc analyses were performed using Bonferroni t-tests to compare
post-drug injection values to baseline (for one-way repeated-measures ANOVAs) and for
pairwise comparisons between drugs.
97
Results
Self-administration
All animals self-administered cocaine (250 µg/infusion), heroin (4.95
µg/infusion) or speedball (250/4.95 µg/infusion cocaine/heroin) under an FR2 for 25
consecutive days. Overall, animals had as close to the same drug SA history as possible,
and no group had a total number of SA days that was significantly more than another
group. The only slight differences are that heroin self-administering animals required on
average three fewer training days under an FR1 and showed shorter interinfusion
intervals throughout the 25 consecutive days of SA under an FR2 (Fig. 1). Those rats
self-administering heroin obtained significantly more infusions (P < 0.05) than speedball
rats on days 1 and 2, and on days 1 through 4 compared to cocaine rats (Fig. 1a). One-
way ANOVA revealed that animals self-administering heroin also showed an overall
significantly shorter average interinfusion interval (2.72 ± 0.34 min) as compared to
cocaine (3.66 ± 0.092 min) or speedball (4.25 ± 0.17 min) self-administering animals (P
< 0.05) over the 25 day period (Fig. 1b). However, these variables do not contribute to
the overall amount of drug intake and enforcing a threshold of 15 infusions per session
ensured that speedball animals did not have an overall different amount of cocaine intake
than those self-administering cocaine alone, and also did not have an overall difference in
heroin intake than those self-administering heroin alone.
98
Figure 1A.
Figure 1. (A) Acquisition of SA during the first 14 days of training rats under an FR1 to
self-administer cocaine (250 µg/infusion), heroin (4.95 µg/infusion) or speedball
(250/4.95 µg/infusion cocaine/heroin). Once rats reached the maximum number of
infusions (15) for two days in a row, they began to self-administer under an FR2 for five
training days and continued to self-administer for 20 consecutive days thereafter until in
vivo FSCV was performed 24 hours following the last SA sessions. Data are mean
number of infusions for each group (n = 5) ± SEM. Rats trained to self-administer heroin
responded for more infusions on days 1 and 2 compared to speedball rats, and on days 1
through 4 compared to cocaine rats (*P < 0.05).
99
Figure 1B.
Figure 1. (B) Mean interinfusion intervals for each group (n = 5) ± SEM throughout
daily SA sessions over the 25 day period of SA under an FR2. Animals self-
administering heroin showed an overall significantly shorter average interinfusion
interval as compared to cocaine or speedball (P < 0.05) over the 25-day period. However,
enforcing a threshold of 15 infusions per session ensured that speedball animals did not
have an overall different amount of cocaine intake than those self-administering cocaine
alone, and also did not have an overall difference in heroin intake than those self-
administering heroin alone.
100
Electrically evoked DA efflux
Baseline values of electrically evoked DA efflux, ranging from 0.85-2.20 μM
(Fig. 2), were not statistically different between the SA groups (P = 0.343). Cocaine,
heroin and speedball intravenous infusions significantly altered the levels of electrically
evoked DA in the NAc during FSCV (Fig. 3). Cocaine and speedball infusions resulted in
significant increases in evoked DA compared to baseline values (P < 0.001); however,
there was no significant difference between the cocaine and speedball groups (P = 0.291).
Post hoc analyses revealed significant elevations in evoked DA efflux following cocaine
administration at 1, 5, 10, and 20 minutes, and at 1, 5, and 10 minutes following
speedball administration (P < 0.05). In contrast, heroin administration resulted in a
significant decrease in evoked DA efflux compared to baseline (P < 0.001) and compared
to cocaine and speedball infusions (P < 0.001). Post hoc analyses identified significant
reductions from baseline at 60, 70, 80, 90, 100, 110, and 120 minutes after the heroin
infusion (P < 0.05). A possible explanation is that heroin-induced decreases in VTA
GABAergic cell firing rate (Steffensen et al. 2006) may disinhibit dopaminergic
projections to the NAc, resulting in increased basal DA release. An increase in
extracellular DA concentration in the absence of DAT inhibition should result in a
decrease in electrically evoked DA efflux (Budygin et al. 2001). However, this
mechanism is not in agreement with the striking delay of the effect induced by
intravenously injected drug. Therefore, the changes in electrically evoked DA efflux at
one hour after heroin administration are more likely due to secondary alterations. For
example, they could be associated with a higher susceptibility of DA storage to depletion
following heroin SA.
101
Figure 2.
Figure 2. DA changes detected by FSCV in the NAc of anesthetized rats following i.v.
cocaine, speedball and heroin infusion. Upper panel: Background-subtracted cyclic
voltammograms taken from the peak response to the stimulation, which provide chemical
information on the analyte. Every signal has an oxidation peak at +0.65 V and reduction
peak at -0.2 V vs. Ag/AgCl reference, identifying the detected species as DA. Lower
panel: Representative concentration-time plots of electrically evoked DA release
measured before (solid lines) and 10 min after (dashed lines) drug challenges.
102
Figure 3.
Figure 3. The influence of chronic SA on electrically evoked DA release in NAc
following single i.v. challenge infusions of cocaine (1.0 mg/kg), heroin (0.03 mg/kg) and
speedball (1.0/0.03 mg/kg cocaine/heroin). Data are expressed as percent of pre-drug
baseline DA levels and are represented as mean ± SEM (n = 5/group). Baseline values
were not significantly different between groups. Cocaine and speedball infusions
significantly increased evoked DA levels above baseline levels from 1-20 minutes and 1-
10 minutes following drug injection, respectively (*P < 0.05). Heroin administration
significantly reduced evoked DA levels below baseline levels from 60-120 minutes
following injection (‡P < 0.05). No statistically significant difference in peak DA levels
between the cocaine and speedball groups were observed.
103
DAT apparent affinity (Km)
Cocaine and speedball administration significantly increased DAT apparent
affinity (Km), whereas heroin exerted no effect (P < 0.001; Fig. 4). There was no
significant difference in apparent Km between cocaine and speedball (P = 1.000) but Km
values were found to be significantly lower following heroin infusion compared to
speedball or cocaine throughout the experiment (P < 0.001) following drug injections.
Post hoc analyses revealed that cocaine induced a significant increase in Km from
baseline from 1 to 90 minutes (P < 0.05) and speedball injection resulted in a significant
increase in Km from baseline from 1 to 80 minutes (P < 0.05) following drug infusion.
Heroin did not alter Km from baseline values (P = 0.994).
DAT-mediated reuptake rate (Vmax)
No significant differences in Vmax values were observed between baseline and the
post-infusion periods within the cocaine, heroin or speedball groups (Fig. 5a).
Comparison of baseline Vmax values revealed significant differences between the three
groups (P < 0.005). Post hoc analyses revealed elevated baseline Vmax values for the
speedball group (2456 ± 336 nM/s) compared to heroin (1440 ± 80 nM/s; P < 0.05), but
not cocaine (1802 ± 100 nM/s). Significant differences in Vmax were also observed
between groups following drug infusion. Vmax values were significantly greater in the
speedball group compared to the cocaine or heroin groups (P < 0.001) and also greater in
the cocaine group when compared to heroin (P < 0.05).
104
In order to assess the effect of chronic drug exposure on Vmax, we compared the
baseline Vmax values from drug-naïve subjects (Pattison et al., 2011) with values from
subjects following chronic SA of cocaine, heroin or speedball. The analysis revealed
significant increases in baseline Vmax values in subjects with a history of chronic
speedball SA compared to drug-naïve subjects (P < 0.005; Fig. 5b). Interestingly, no
significant differences were observed in baseline Vmax between the drug-naïve and
cocaine or heroin self-administering groups.
105
Figure 4.
Figure 4. Effects of i.v. challenge infusions of cocaine (1.0 mg/kg), heroin (0.03 mg/kg)
and speedball (1.0/0.03 mg/kg cocaine/heroin) on the inhibition of DA uptake, or
apparent Km, in NAc following chronic SA. Data are expressed as nM concentrations and
represented as mean ± SEM (n = 5/group). Baseline values were not significantly
different between groups. Cocaine and speedball increased DAT inhibition above
baseline levels in a time-dependent manner for 90 and 80 minutes following infusions,
respectively (*P < 0.05). As anticipated, heroin did not affect DAT inhibition.
106
Figure 5A.
Figure 5. (A) Effects of i.v. challenge infusions of cocaine (1.0 mg/kg), heroin (0.03
mg/kg) and speedball (1.0/0.03 mg/kg cocaine/heroin) on maximal velocity of dopamine
uptake (Vmax) in NAc following chronic SA. The maximal uptake rate is expressed as
nM/s and represented as mean ± SEM (n = 5/group). Baseline Vmax values were
significantly greater in the speedball group compared to heroin (*P < 0.05). Following
drug infusions, Vmax values were significantly increased after speedball administration
compared to cocaine and heroin alone (‡P < 0.05). Challenge infusions did not
significantly alter Vmax values from baseline values within any of the groups.
107
Figure 5B.
Figure 5. (B) Effects of chronic SA of cocaine (grey bar), speedball (black bar) and
heroin (white bar) on Vmax compared to drug-naïve animals (n = 15). Data represent
average Vmax values (± SEM) calculated at three time points prior to drug infusions (n =
5/group). The solid and dashed lines (1732 ± 87 nM/s) represent the average ± SEM Vmax
for drug-naïve subjects. Chronic SA of speedball significantly increased the baseline Vmax
value in NAc compared to drug-naïve controls (**P < 0.005). Baseline Vmax values were
not significantly different between drug-naïve and self-administering subjects following
cocaine or heroin administration.
108
Discussion
The present study revealed that chronic speedball SA resulted in significantly
elevated rates of DA reuptake (Vmax) in the NAc compared to cocaine and heroin SA.
Furthermore, comparison of the present results with the previously published effects
following acute speedball, cocaine and heroin administration in drug-naïve subjects
(Pattison et al., 2011) revealed significant neuroadaptive responses in DA release and
uptake rate, which are attributable to chronic drug SA. The most substantial observation
between these data sets is that chronic speedball SA significantly increased the baseline
rate of Vmax compared to drug-naïve subjects. In the present study, a significant increase
in the magnitude of electrically evoked DA efflux was observed following both cocaine
and speedball injections in animals with a chronic SA history. Evoked DA efflux was
reduced following chronic SA of cocaine, heroin or speedball compared to acute
administration of each respective drug in naïve animals (Fig. 6a-c), which may be
explained in part by a reduction in VTA DA neuron population activity following
repeated drug exposure (Shen et al., 2007).
In contrast to the differences in evoked DA efflux between acute cocaine and
speedball administration (Pattison et al., 2011), no differences were observed between the
cocaine and speedball groups following chronic SA. The lack of difference may be due to
enhanced rate of DA reuptake following speedball SA, as has been observed following
chronic alcohol and cocaine administration (Budygin et al., 2003; Mateo et al., 2005;
Budygin, 2007; Oleson et al., 2009). In the present study, baseline Vmax was increased in
the speedball group 24 hours following the previous SA session.
109
Fig
ure
6.
110
Figure 6. Upper Panel: Comparison of electrically evoked DA efflux in NAc of drug-
naïve rats (open shapes) and chronically self-administering rats (filled shapes) following
a single challenge i.v. infusion (↑) of (A) cocaine (1.0 mg/kg), (B) speedball (1.0/0.03
mg/kg cocaine/heroin), and (C) heroin (0.03 mg/kg). Data are expressed as percent of
pre-drug baseline DA levels and are represented as mean ± SEM (n = 5/group). (A)
Cocaine increased the level of evoked DA efflux from baseline in both acute and chronic
groups; however, cocaine infusion in the SA group resulted in significantly lower levels
of evoked DA efflux compared to the acute group (P < 0.001) at 1, 5, 10, 20, 30, 60 and
70 minutes following cocaine challenge (*P < 0.05). (B) Speedball increased the level of
evoked peak DA form baseline in both acute and chronic groups, with a significantly
greater increase observed in the acute group (P < 0.010). However, post hoc analyses
showed that this was an overall difference and not significant at any specific time points.
(C) Evoked DA efflux was not significantly altered from baseline following heroin
administration in drug-naïve animals; however, chronic heroin SA significantly decreased
evoked DA compared to the naïve animals (P < 0.001) at 60 to 120 minutes following
heroin challenge (*P < 0.05). Lower Panel: Effects of i.v. challenge infusions of (D)
cocaine (1.0 mg/kg), (E) speedball (1.0/0.03 mg/kg cocaine/heroin) and (F) heroin (0.03
mg/kg) on the inhibition of DA uptake, or apparent Km, in NAc following chronic SA
(filled shapes) and in drug-naïve animals (open shapes). Data are expressed as nM
concentrations and represented as mean ± SEM (n = 5/group). There were no significant
differences in apparent Km between acute and chronic animals within any of the drug
groups. (Data of acute administration has been published previously (Pattison et al.,
2011) and reprinted with permission.)
111
This consequence of chronic speedball SA likely contributes to a lack of observed
difference in evoked DA efflux between the cocaine and speedball groups in the present
study.
The elevated maximal rate of uptake observed in the speedball group is
potentially related to the abundance of DATs in the NAc, alterations in membrane
polarity, and/or changes in mitogen-activated protein (MAP) kinase and/or protein kinase
C signaling cascades (Lin et al., 2003; Moron et al., 2003; Copeland et al., 2005; Zhen et
al., 2005). Increases in DAT availability have been observed previously following
chronic cocaine SA in rats and non-human primates (Tella et al., 1996; Letchworth et al.,
2001), as well as in human post-mortem tissue from cocaine addicts (Little et al., 1993).
Elevated DAT activity would serve to decrease [DA]e below baseline levels (Kahlig and
Galli, 2003) leading to a state of dopaminergic hypofunction during SA withdrawal
periods. Speedball SA may exert similar effects on DAT expression but would be
expected to be greater in magnitude given the substantial elevations in [DA]e compared
with cocaine alone, as observed in previous studies (Zernig et al., 1997; Hemby et al.,
1999; Smith et al., 2006). Further studies are warranted to determine DAT expression in
the NAc following speedball SA.
Alternatively, the rate of DAT reuptake may be influenced in a DAT density-
independent manner. The sodium gradient, which is tightly coupled to membrane
potential, is a critical driving force for DA reuptake by the DAT. Increases in Na+/K
+
pump activity can increase the rate of DA reuptake. In addition, Na+/K
+ ATPase also
activates MAP kinase signaling pathways, which appear to be involved in the regulation
of DAT transport capacity (Moron et al., 2003). DAT uptake rate is also modulated by
112
both protein kinase A and C signaling pathways (Pristupa et al., 1998). Future studies are
necessary to examine the influence of these pathways on the increased rate of DA
reuptake kinetics observed in the speedball SA group. Particular interest should be paid to
examining chronic effects of speedball SA on DAT-mediated Vmax, as there appear to be
no neuroadaptations apparent in the measure of apparent Km between acute and chronic
animals within each drug group (Fig. 6d-f).
Neuroadaptations in DAT function triggered by chronic drug exposure are not
necessarily limited to changes in DAT number, but rather to the functional capacity of the
rate of uptake (Vmax). Studies report that repeated cocaine administration alters the
affinity of DAT (Km) (Mateo et al., 2005; Addy et al., 2010; Ferris et al., 2011). For
example, the voltammetric analysis of DA uptake parameters in brain slices from rats
with binge cocaine SA history and withdrawn for one or seven days have shown that
Vmax was increased while Km (cocaine-induced inhibition of DAT) was diminished
(Mateo et al., 2005). The reduced efficacy of cocaine to inhibit DAT appears to be
independent of the ability of DAT to transport DA and other substrates (Ferris et al.,
2011). In contrast, administration of cocaine for seven days (i.p., 15 mg/kg) revealed
increases in apparent Km of cocaine-exposed animals following one day of withdrawal
(Addy et al., 2010). These data suggest a rapid DAT sensitization in the NAc after a short
withdrawal period. However, Oleson et al. (2009) did not find significant changes in the
efficacy of intravenous cocaine (0.75 mg/kg) to inhibit DAT in rats that exhibited an
escalation in the rate of cocaine intake, 24 hours following the final SA session. Possible
explanations for these discrepancies include differences in experimental preparations (in
vitro versus in vivo), dose and route of drug administration, duration of cocaine exposure
113
and withdrawal, presence of drug during testing and differences in the parameters of
electrical stimulation. In the present study, the main goal was to compare the effects on
accumbal DA kinetics between drug groups (cocaine, heroin and speedball) following
chronic (25 days) SA and acute (24 hours) withdrawal based on the measures of evoked
DA efflux, apparent affinity (Km) and maximal reuptake rate (Vmax), before and after an
i.v. drug challenge.
Previous studies have indicated that cocaine-induced increases in electrically
evoked DA dynamics as measured by in vivo FSCV are primarily due to DA reuptake
inhibition (i.e. increase in the apparent Km) (Mateo et al., 2004; Oleson et al., 2009).
Given that increases in Km and evoked DA release following drug challenges were
indistinguishable between cocaine and speedball groups in the present study, changes in
the apparent affinity of DAT are not likely a neuroadaptive response contributing to the
observed differences in Vmax. This contention is supported by a previous finding
demonstrating that increased inhibition of DAT by chronic cocaine SA is not sufficient to
modify the apparent Km of DAT for cocaine (Oleson et al., 2009). Additionally, no
differences were found in Km values between drug-naïve and SA subjects within drug
treatment groups over the time course of the experiments. However, since several
voltammetric studies have demonstrated a rapid sensitization (Addy et al., 2010) or
desensitization of the DAT (Mateo et al., 2005; Ferris et al., 2011) to repeated cocaine
administration, additional experiments are needed to further delineate the alterations in
Vmax and Km as a function of chronic cocaine and speedball SA.
The present study revealed significant differences in DA release and uptake
kinetics between cocaine, heroin and speedball following chronic SA. Additional efforts
114
utilizing various techniques should be directed toward the significant public health
concern of polysubstance abuse. Results from our lab and others have clearly
demonstrated that the biochemical and behavioral effects of drug combinations cannot be
predicted from individual components alone. The present results in combination with a
previous study (Pattison et al., 2011) indicate neuroadaptive processes unique to
cocaine/heroin combinations that cannot be readily explained by simple additivity of
changes observed with cocaine and heroin alone.
Author contributions
LPP, EAB and SEH were responsible for the study concept and design. LPP and SM
contributed to the acquisition of animal data. LPP and EAB performed the data analysis.
LPP, EAB and SEH interpreted the findings. LPP and SEH drafted the manuscript. LPP,
EAB, SEH provided critical revision of the manuscript for important intellectual content.
All authors critically reviewed content and approved the final version for submission.
Acknowledgements
The study was supported in part by R01DA012498 (SEH) and K08DA021634 (EAB).
115
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118
CHAPTER IV
EFFECTS OF COCAINE, HEROIN AND SPEEDBALL SELF-
ADMINISTRATION ON DOPAMINE TRANSPORTER BINDING SITES
Lindsey P. Pattison, Scot McIntosh, Tammy Sexton, Royuo Xiao, Amanda Grigg,
Steven R. Childers, Scott E. Hemby
The following manuscript is in preparation for publication submission in June 2013.
Lindsey P. Pattison, Scott E. Hemby and Steven R. Childers designed the experiments,
and Lindsey P. Pattison and Scot McIntosh performed the data collection and analyses.
Tammy Sexton, Royuo Xiao and Amanda L. Grigg assisted Lindsey P. Pattison in
performing data collection. Lindsey P. Pattison prepared the manuscript, and Steven R.
Childers and Scott E. Hemby acted in advisory and editorial capacities.
119
Abstract
Concurrent use of cocaine and heroin (speedball) has been shown to exert
synergistic effects on DA neurotransmission in the nucleus accumbens (NAc), as
observed by significant increases in extracellular DA levels ([DA]e) and compensatory
elevations in DAT-mediated baseline maximal reuptake rate (Vmax). Utilizing cocaine-
like ligands, homologous competition binding and quantitative autoradiography were
carried out for DAT in the NAc of rats after chronic self-administration (SA) of cocaine,
heroin and speedball combinations. Saturation binding of iodinated 3β-(4-
iodophenyl)tropan-2β-carboxylic acid methyl ester ([125
I]RTI-55) in rat NAc membranes
resulted in binding curves that were best fit to two-site binding models. This allowed for
calculation of Kd and Bmax values corresponding to high- and low-affinity DAT binding
sites. Chronic speedball SA resulted in significantly higher affinity of the low-affinity
DAT binding site. There were no significant changes in high- or low-affinity [125
I]RTI-55
binding densities, as confirmed by quantitative densitometry of tritiated 3β-(4-
fluorophenyl)tropan-2β-carboxylic acid methyl ester ([3H]CFT) binding in NAc sections.
However, a shift in the ratio of high- and low-affinity DAT binding sites, towards an
increased percent of high-affinity binding sites and concomitant decrease in the percent
of low-affinity binding sites, was observed, even though there was no absolute change in
binding site densities. These modulations in binding site parameters may indicate
physical alterations in DAT binding sites following speedball SA, which contribute to
previously observed increases in baseline Vmax following speedball SA.
Keywords: cocaine, heroin, polydrug, nucleus accumbens, dopamine transporter,
binding sites
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Introduction
Polysubstance abuse is the more common form of abuse among addicts in the US,
and over the past few decades, clinical and experimental consideration have been given to
a phenomenon in which addicts co-abuse cocaine and opioids (commonly heroin) either
simultaneously or within a short period of time. This form of polysubstance abuse is
referred to as “speedballing” and the cocaine/opioid combination as “speedball” (Hunt et
al., 1984; Leri et al., 2003b). The number of Americans that received treatment for
cocaine abuse in 2010 alone was 699,000 and 417,000 Americans also received treatment
for heroin abuse (SAMHSA, 2011a). Patients entering a substance abuse clinic for
intravenous (i.v.) drug use were surveyed on their patterns of administration and heroin
was reported the most commonly injected drug with cocaine as the second-most injected.
Fifteen percent of patients indicated i.v. injection as the route of administration for their
secondary and tertiary drugs of choice (SAMHSA, 2011b). Compared to heroin alone,
patients with co-dependence on cocaine and opioids have been shown to engage in more
risky sexual behaviors (Hudgins et al., 1995), exhibit antisocial personality disorders
(King et al., 2001), engage in more income-generating crimes (Cross et al., 2001), and
most importantly, have worse treatment outcomes than those dependent on heroin only
(Perez de los Cobos et al., 1997; Preston et al., 1998; DeMaria et al., 2000; Downey et
al., 2000b; Sofuoglu et al., 2003; Tzilos et al., 2009). Describing the neurobiological
correlates that underlie chronic speedball use will aid in developing more efficacious
treatment options for many polysubstance abusers.
The reported subjective effects following speedball use in humans are enhanced
euphoria and decreased aversive side effects of cocaine or heroin alone (Foltin and
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Fischman, 1992b; Foltin et al., 1995). These accounts have been linked to observations of
significantly increased levels of dopamine (DA) in the nucleus accumbens (NAc) (Wise
and Bozarth, 1987; Pettit and Justice, 1989; Hemby et al., 1999), which lies at the core of
the mesolimbic “reward” pathway. Virtually all drugs of abuse acutely increase DA
neurotransmission in the mesolimbic system (Koob and Volkow, 2010), but the specific
combination of cocaine and heroin seems to have a profound effect on extracellular DA
concentrations ([DA]e). Several in vivo microdialysis studies in rats have reported
significant increases in accumbal [DA]e following speedball as compared to cocaine or
heroin alone, in both experimenter-delivered (250-1000% of baseline) (Zernig et al.,
1997a; Gerasimov and Dewey, 1999) and i.v. self-administration (SA) experiments (800-
1000% of baseline), even after a prolonged period of training (Hemby et al., 1999; Smith
et al., 2006b). The effects of such substantial increases in NAc [DA]e following speedball
exposure have not been widely explored. We have, however, previously reported a
significant increase in baseline levels of maximal reuptake rate (Vmax) for the dopamine
transporter (DAT) using in vivo fast-scan cyclic voltammetry (FSCV) following chronic
i.v. speedball SA in rats (Pattison et al., 2012). Given the increased DA reuptake rate
following chronic speedball, the current study was undertaken in order to determine if
DAT function is altered by possible changes in affinity and/or density.
Several previous studies have reported increased DAT density in the NAc
following cocaine exposure (Letchworth et al., 1997; Little et al., 1999; Letchworth et al.,
2001a; Ben-Shahar et al., 2006; Bailey et al., 2008; Miguens et al., 2008; Beveridge et
al., 2009) [but see (Wilson et al., 1996; Calipari et al., 2012)]. In addition, cocaine
exposure has been shown to increase DAT uptake rate in synaptosomal preparations
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(Daws et al., 2002; Mash et al., 2002; Samuvel et al., 2008), but divergent results have
been shown with FSCV [increased (Mateo et al., 2005; Oleson et al., 2009b), decreased
(Calipari et al., 2012) and unaltered (Pattison et al., 2012) baseline Vmax has been
observed following cocaine], likely due to variations in cocaine SA paradigms, as shown
with biphasic changes in uptake rate over different durations of SA (Ferris et al., 2011).
Besides elevated density and reuptake rates, DAT function could also be increased by
alterations in ligand binding affinities. Determining how the affinity of cocaine-like
ligands for DAT may be altered following chronic speedball SA as compared to cocaine
or heroin alone will provide molecular insights that may aid in developing novel targets
for polysubstance abuse. We utilized membrane binding with a potent cocaine-like DAT
inhibitor to assess the affinities and densities of high- and low-affinity DAT binding sites,
and subsequently performed quantitative autoradiography with a lower-affinity cocaine-
like DAT inhibitor, in attempt to assess the density of high-affinity DAT binding sites in
the NAc of rats following chronic SA of cocaine, heroin and the speedball combination.
Materials and methods
Subjects
Male Fisher F-344 rats (120-150 days; 270-320 g; Charles River, Wilmington,
MA) were housed in acrylic cages in a temperature-controlled vivarium on a 12 hour
reversed light/dark cycle (lights on at 6:00 PM). Rats were group housed before surgery
and individually housed after catheterization. Food was restricted to maintain starting
body weight and water was available ad libitum, except during experimental sessions that
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were conducted during the dark phase. All procedures were performed in accordance
with the National Institutes of Health Guide for the Care and Use of Laboratory Animals
(NIH Publication No. 80-23) revised in 1996.
Drugs
Cocaine hydrochloride and heroin hydrochloride were obtained from the Drug
Supply Program of the National Institute on Drug Abuse (Bethesda, MD). Pentobarbital
and sodium thiopental were purchased from the pharmacy at Wake Forest Baptist
Hospital (Winston-Salem, NC). Sodium heparin was from Elkin-Sinn (Cherry Hill, NJ),
methyl atropine nitrate was from Sigma-Aldrich (St Louis, MO) and penicillin G was
purchased from Webster Vet Supply (Devens, MA). Iodinated 3β-(4-iodophenyl)tropan-
2β-carboxylic acid methyl ester ([125
I]RTI-55; 2200 Ci/mmol) and tritiated 3β-(4-
fluorophenyl)tropan-2β-carboxylic acid methyl ester ([3H]WIN 35,428, or [
3H]CFT; 82.0
Ci/mmol) were purchased from PerkinElmer (Waltham, MA). Unlabeled CFT was
purchased from Sigma-Aldrich (St Louis, MO) and unlabeled RTI-55 was supplied by
the National Institute on Drug Abuse Drug Supply Program (Bethesda, MD). WF-23 [2β-
propanoyl-3β-(2-naphthyl) tropane] was previously synthesized and dissolved in
phosphate-buffered saline (Davies et al., 1994). TR tritium-sensitive phosphorimaging
screens were purchased from PerkinElmer (Waltham, MA).
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Intravenous self-administration
Animals were pretreated with methyl atropine nitrate (10 mg/kg; i.p.) and
anesthesia was induced by administration of pentobarbital (40 mg/kg; i.p.). While
anesthetized, rats were implanted with chronic indwelling venous catheters as described
previously (Hemby et al., 1995; Hemby et al., 1996; Hemby et al., 1997; Hemby et al.,
1999). Briefly, catheters were inserted into the right jugular vein, terminating just outside
the right atrium and anchored to muscle near the point of entry into the vein. The distal
end of the catheter was guided subcutaneously to exit above the scapulae through a
Teflon shoulder harness. The harness provided a point of attachment for a spring leash
connected to a single channel swivel at the opposing end. The catheter was threaded
through the leash for attachment to a swivel. The fixed end of the swivel was connected
to a syringe (for saline and drug delivery) by polyethylene tubing. Infusions of sodium
thiopental (150 µl; 15 mg/kg; i.v.) were manually administered as needed to assess
catheter patency. Rats were administered penicillin G procaine (75,000 units in 0.25 ml,
i.m.) at the termination of catheter implantation. Health of the rats was monitored daily
by the experimenters and weekly by institutional veterinarians according to the guidelines
issued by the Wake Forest University Animal Care and Use Committee and the National
Institute of Health.
Rats were returned to their home cages and monitored for several days before
initiating the i.v. drug SA procedures. Following surgery, rats received hourly infusions
of heparinized 0.9% bacteriostatic saline (1.7 U/ml; 200 µl/hour) using a computer
controlled motor-driven syringe pump in the home cage vivarium. For SA sessions, rats
were transferred to operant conditioning cages (24.5 x 23.5 x 21 cm) that were enclosed
125
in sound-attenuating chambers and contained a retractable lever positioned 2.5 cm above
the floor (requiring approximately 0.25 N to operate), an exhaust fan, an 8 ohm speaker, a
tone source, a house light and a red stimulus light directly above the retractable lever. A
counterbalanced arm was mounted to the rear corner of the operant chamber onto which
the single channel swivel at the end of the rat’s leash was attached. A motor-driven 20 ml
syringe pump was attached outside of the sound-attenuating chamber and polyethylene
tubing was fed from the drug syringe into the operant chamber through a small hole in the
outer chamber.
Rats were assigned randomly into groups (n = 8-10) to self-administer cocaine
(250 µg/inf), heroin (10 µg/inf) or speedball (250/10 µg/inf cocaine/heroin). Responding
was engendered under a fixed-ratio (FR) 1 schedule and the daily session terminated after
25 infusions or 4 hours. Once rats consistently obtained 25 infusions per session, the
schedule was increased to FR2 and then FR5 for several training days, followed by 25
consecutive days of 25 infusions per day where stable responding was maintained under
an FR5 reinforcement schedule (as monitored by average inter-infusion intervals within
10%). Under these experimental parameters, rats self-administered 6.25 mg/day of
cocaine, 250 µg/day of heroin or 6.25 mg/250 µg/day of a cocaine/heroin combination.
Approximately 24 hours following the final SA session, animals were sacrificed by rapid
decapitation and brains were promptly removed and hemisected, then each hemisphere
was flash-frozen in isopentane at -35°C to -50°C and stored at -80°C until further use.
Left and right hemispheres were randomly assigned to DAT radioligand binding
membrane binding assay or quantitative autoradiography in brain sections.
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DAT radioligand binding in membranes
Brain hemispheres used in membrane binding assays were brought up to -20°C in
a modified cryostat, where the NAc was dissected under a 10X microscope. The entire
NAc from one hemisphere of each animal from approximately bregma +3.00 mm to
bregma +0.45 mm was microdissected and stored in an eppendorf tube at -80°C. NAc
tissue was thawed on ice for several minutes and homogenized in 10 ml ice-cold assay
buffer (10 mM sodium phosphate buffer, pH 7.4, with 0.32 M sucrose). Membrane
proteins were precipitated by high-speed centrifugation (10 min at 48,000 × g) and
resuspended in cold buffer and kept ice-cold during assay preparation. Protein
concentration of membrane tissue from each sample was determined using the
colorimetric bicinchoninic acid (BCA) protein assay reagents (Thermo Scientific) by
absorbance at 562 nm.
To determine Kd and Bmax values of [125
I]RTI-55 binding to DAT, saturation
binding of [125
I]RTI-55 was accomplished using a constant concentration of [125
I]RTI-55
with a range of concentrations of unlabeled RTI-55 (0.001–30 nM) in rat NAc
membranes. Each NAc membrane sample was assayed in triplicate (carried out in ice-
cold assay buffer, total volume 2 ml) using 0.1 nM [125
I]RTI-55 and fourteen increasing
concentrations of unlabeled RTI-55. Assays were incubated at 25°C for 50 min and
reactions were terminated by rapid filtration with 3 × 5 ml of cold 50 mM Tris-HCl, pH
7.4, through Whatman GF/B glass fiber filters pre-soaked in Tris buffer containing 0.1%
bovine serum albumin. Nonspecific binding was determined with 1 µM WF-23 (Davies
et al., 1994). Radioactivity was determined by liquid scintillation spectrometry in filters
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eluted for 8 hours in 5 ml of Ecolite scintillation fluid. Binding curves were fit to one-site
and two-site models by iterative non-linear curve fitting (Prism).
Quantitative autoradiography in rat brain sections
The opposite brain hemispheres for each subject used in the membrane binding
assay were used in quantitative autoradiography. Tissue blocks were mounted on a chuck
using cryostat mounting medium and brought up to -20°C in a Leica CM3050 S cryostat.
Coronal forebrain sections (20 µm thickness) were thaw-mounted on plain gelatin-coated
microscope slides with six sections per slide. Slide-mounted sections were stored in slide
boxes at -80°C until time of the quantitative autoradiography assay. Preliminary
saturation binding experiments with [3H]CFT in rat striatal membranes (data not shown)
provided high- and low-affinity Kd values for [3H]CFT that were similar to those
previously reported in the literature (Madras et al., 1989a; Pristupa et al., 1994; Katz et
al., 2000). Thus, the concentration of [3H]CFT chosen for quantitative autoradiography
(20 nM) was approximately the same as the affinity of CFT for the DAT high affinity
binding site, and therefore occupied approximately 50% of those sites.
Slide-mounted tissue sections were thawed under a cool stream of air for 2 hours
then pre-incubated in ice-cold assay buffer (50 mM Tris, pH 7.4, containing 120 mM
NaCl and 0.32 M sucrose) for 20 min at 0-4°C. Sections were then incubated for 120 min
with 20 nM [3H]CFT at 0-4°C to determine specific binding (5-7 subjects per SA group).
Nonspecific binding was determined in the presence of 1 µM WF-23 (3 subjects per SA
group). All sections were rinsed twice briefly in fresh, ice-cold Tris buffer (50 mM, pH
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7.4, containing 120 mM NaCl) and once in ice-cold distilled water. Slides were dried
under a cool stream of air for at least 2 hours before being placed in autoradiography
cassettes against uncoated, tritium-sensitive phosphor storage screens along with
calibrated [3H] autoradiographic standards for 12 days at RT. Screens were scanned using
the Cyclone Storage Phosphor System with OptiQuant software (version 3.10;
PerkinElmer). Images were then imported into and analyzed with ImageJ64 (version
1.45s for Macintosh; National Institutes of Health), by quantitative densitometry. Regions
of interest were comprised of the NAc at two levels: approximately bregma +2.20 mm
(medial NAc) and bregma +1.20 mm (caudal NAc). Optical density values were
converted to pmol/mg (of wet-weight tissue) by reference to the calibrated [3H]
standards. Nonspecific binding was determined by subtraction of each respective group’s
mean of standardized optical densities for the sections incubated with the cocaine analog
WF-23 (n = 3/group).
Data analysis
Saturation binding data were analyzed using GraphPad Prism 4.0 for nonlinear
regression curve fitting to determine the Kd and Bmax from data fit to one- and two-site
binding hyperbolae. Statistical analyses using an F test were performed to determine
whether those data could be best described by a single- or two-site model, and P < 0.05
determined the best-fit model. For two-site modeling results, ratios of high- and low-
affinity binding sites were assessed by defining Bmaxtotal = Bmax1 + Bmax2, and percent
high-affinity sites = (Bmax1 / Bmaxtotal) × 100 and percent low-affinity binding sites =
129
(Bmax2 / Bmaxtotal) × 100. For quantitative autoradiography, densitometry of phosphor
screen images was carried out using NIH ImageJ and intensities of background-
standardized radioactivity in regions of interest (medial and caudal NAc) were used to
calculate differences in DAT binding density between SA groups. Group differences for
both membrane binding and section autoradiography studies were determined using one-
way analysis of variance (ANOVA) with pairwise Bonferroni multiple comparison post-
hoc tests (P < 0.05).
Results
Self-administration
Rats self-administered i.v. cocaine (250 µg/inf), heroin (10 µg/inf) or speedball
(250/10 µg/inf cocaine/heroin) under an FR5 schedule for approximately 25 consecutive
days following roughly two weeks of SA training, first under an FR1 then FR2, for 4
hours per day or until the maximum 25 infusions were acquired. Control animals self-
administered saline under an FR1 schedule for approximately 30 days. Cumulative drug
intake was monitored for each animal throughout the study to ensure that the total intake
of cocaine was within 10% between the cocaine and speedball groups, and likewise for
total heroin intake. To ensure consistent total drug intake levels for speedball SA animals
with their single-drug counterparts, the total number of consecutive SA sessions varied
slightly. This was also due to the length of time needed for animals in different drug
groups to acquire 25 infusions per session while responding under an FR5 schedule of
reinforcement. Rats in the cocaine SA group achieved 25 infusions per session in about
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one week of training, while heroin and speedball animals required roughly three weeks of
training to reach 25 daily infusions (Fig. 1A). The inter-infusion interval (time between
subsequent infusions) also varied between groups. The average (mean ± SEM) inter-
infusion interval for rats self-administering cocaine was 5.3 ± 0.97 min, heroin was 7.4 ±
0.27 min and speedball was 6.9 ± 0.18 min. Rats self-administering cocaine did so at a
significantly faster rate (interinfusion interval) than speedball or heroin rats (P < 0.001,
Fig. 1B) as determined by Bonferroni’s correction for pairwise comparisons following
one-way repeated measures ANOVA.
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Figure 1A.
Figure 1. (A) SA behaviors of rats responding under an FR5 for i.v. cocaine (250 µg/inf),
heroin (10 µg/inf) or speedball (250/10 µg/inf cocaine/heroin). Responding was initially
engendered under an FR1 (and remained FR1 for saline controls) then increased to FR2
and FR5 (n = 8/group). The number of days required to reach the maximum number of 25
infusions per day varied between drug groups. On average, rats took about 8 days to
reach the maximum number of infusions per session for cocaine, about 20 days for
speedball and about 25 days for heroin. Saline control rats never averaged more than 10
infusions per 4-hour daily session.
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Figure 1B.
Figure 1. (B) SA behaviors of rats responding under an FR5 for i.v. cocaine (250 µg/inf),
heroin (10 µg/inf) or speedball (250/10 µg/inf cocaine/heroin). Responding was initially
engendered under an FR1 (and remained FR1 for saline controls) then increased to FR2
and FR5 (n = 8/group). The average (mean ± SEM) interinfusion intervals for rats self-
administering cocaine was faster than speedball or heroin rats (P < 0.001) as determined
by Bonferroni’s correction for pairwise comparisons following one-way repeated
measures ANOVA.
133
DAT membrane binding
Radiolabeled RTI-55 was used for membrane binding studies because its high
specific activity allows for assaying low amounts of tissue, as in a single hemisphere of
NAc membranes. Using this radioligand, membranes from one hemisphere of a single rat
could be used for full biphasic saturation analysis. Both one- and two-site binding fits
were applied to the specific binding data for each subject, and F tests were used to
determine which fit best described the data. In agreement with previous published results
(refs), fits were significantly better to two-site than one-site models; therefore, all groups
were compared using one-way ANOVA tests on two-site binding results. These data
revealed differences in both the high- and low-affinity DAT binding parameters for RTI-
55 between the groups. There were no significant differences in the dissociation constant
of the high-affinity binding site (Kd1) for RTI-55 between the groups, but there was a
trend toward increased Kd1 following chronic cocaine SA (P = 0.08, Fig. 2A). The
dissociation constant of the low-affinity binding site (Kd2) in speedball SA animals (4.99
± 1.3 nM) was significantly decreased (P < 0.01, Fig. 2B) compared to saline controls
(16.9 ± 2.9 nM); therefore, speedball SA significantly increased the affinity of RTI-55 at
the low-affinity DAT binding site.
Two-site modeling also revealed a trend toward increased density of high-affinity
binding sites (Bmax1) (P = 0.07, Fig. 3A) but no significant changes (P = 0.17, Fig. 3B) in
DAT low-affinity binding density (Bmax2) for RTI-55. Table 1 shows the group averages
(mean ± SEM; n = 5/group) for all two-site binding parameters, as plotted in Fig. 2 and 3.
Although there were no significant changes in the absolute Bmax values, the ratio of high-
affinity to low affinity sites was significantly increased following speedball SA (where
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high affinity sites represented 16 ± 3% of total sites) as compared to saline (5 ± 2%, P <
0.01), cocaine alone (4 ± 2%, P < 0.01) and heroin alone (6 ± 1%, P < 0.05, Fig. 4A).
There was also a concomitant decrease in the percent of low-affinity binding sites in the
speedball SA group (84 ± 3%) as compared to saline (95 ± 2%, P < 0.01), cocaine alone
(96 ± 2%, P < 0.01) and heroin alone (94 ± 1, P < 0.05, Fig. 4B).
Figure 2.
Figure 2. High- and low-affinity DAT binding site dissociation constants (Kd) were
determined by membrane binding assays of [125
I]RTI-55 and unlabeled RTI-55 at varying
concentrations. Saturation curves were statistically better fit by a two-site binding model
(F value range, 4.47-802.9; P < 0.05). Data shown are mean ± SEM for each SA group (n
= 5/group). (A) There was no statistically significant difference between groups in Kd
values determined for the high-affinity binding site, but one-way ANOVA suggests a
trend for group differences (P = 0.0803). (B) Speedball SA resulted in significantly
decreased Kd for the low-affinity binding site (**P < 0.01) as compared to saline controls,
as determined by Bonferroni’s correction for pairwise comparisons following one-way
ANOVA.
A B
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Figure 3.
Figure 3. High- and low-affinity DAT binding site densities (Bmax) were determined by
membrane binding assays of [125
I]RTI-55 and unlabeled RTI-55 at varying
concentrations. Saturation curves were statistically better fit by a two-site binding model
(F value range, 4.47-802.9; P < 0.05). Data shown are mean ± SEM for each SA group (n
= 5/group). (A) Speedball SA resulted in a trend for increased Bmax of the high-affinity
binding site (P = 0.0663), but this was not significant as determined by one-way
ANOVA. (B) There was also no statistically significant difference between groups in
Bmax values determined for the low-affinity binding site.
Table 1. Effects of chronic cocaine, heroin and speedball SA on the binding parameters
of high- and low-affinity DAT binding sites.
High Kd (pM) Low Kd (pM)
High Bmax
(pmol/mg)
Low Bmax
(pmol/mg)
Saline 132 ± 46 16900 ± 2900 0.286 ± 0.14 4.56 ± 1.3
Cocaine 410 ± 98 7960 ± 2200 0.284 ± 0.095 3.04 ± 0.47
Speedball 256 ± 82 4990 ± 1300** 0.591 ± 0.15 5.89 ± 0.81
Heroin 237 ± 23 11400 ± 1800 0.131 ± 0.028 3.01 ± 1.2
Mean (± SEM) data determined by nonlinear regression for two-site modeling of
membrane binding assays with [125
I]RTI-55 and unlabeled RTI-55 in rat NAc
membranes. **P < 0.01 vs. saline (one-way ANOVA with Bonferroni post hoc)
A B
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Figure 4.
Figure 4. Percents of high- and low-affinity DAT binding sites were determined using
the Bmax values by defining Bmaxtotal = Bmax1 + Bmax2, and percent high-affinity sites =
(Bmax1 / Bmaxtotal) × 100 and percent low-affinity binding sites = (Bmax2 / Bmaxtotal) ×
100. Data shown are means ± SEM for each SA group (n = 5/group). (A) Speedball SA
resulted in significantly increased percent of high-affinity binding sites as compared to
saline, cocaine and heroin groups (*P < 0.05, **P < 0.01), as determined by Bonferroni’s
correction for pairwise comparisons following one-way ANOVA. (B) There was also a
corresponding decrease in the percent of low-affinity binding sites following speedball
SA as compared to saline, cocaine and heroin groups (*P < 0.05, **P < 0.01), as
determined by Bonferroni’s correction for pairwise comparisons following one-way
ANOVA.
A B
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DAT quantitative autoradiography
Quantitative autoradiography for DAT was performed in rat brain sections to
determine whether there were any neuroanatomical differences in DAT binding between
these groups of rats. Radiolabeled CFT was chosen for DAT binding in sections because
it has a lower specific activity for DAT, allowing a greater percentage of the high-affinity
binding sites to be occupied than would be with [125
I]RTI-55. The cocaine analog
[3H]CFT was used at a concentration (20 nM) that occupied 52% of high affinity sites,
and 13% of low affinity sites, as calculated based on our preliminary membrane binding
in rat striatal membranes. This compares to only 7% of high-affinity and 0.05% of low-
affinity DAT sites that would have been occupied using a concentration of [125
I]RTI-55
that is standard for section autoradiography (10 pM). Density of [3H]CFT binding was
quantified at the medial and caudal levels of the NAc to include both the core and shell
(Fig. 5). Specific [3H]CFT binding was observed in both caudate and NAc (see
representative autoradiograms in Fig. 5). Unlike the membrane binding assay, in which
multiple concentrations of radioligand were used to calculate Kd and Bmax values, in the
autoradiography experiments using only one concentration of [3H]CFT, there were no
significant differences between any SA groups or saline controls in specific [3H]CFT
binding density at either the medial (P = 0.4585) or caudal (P = 0.780) levels of the NAc
(Table 2).
138
Figure 5.
Figure 5. Representative images from DAT quantitative autoradiography are shown with
(A) schematics of the medial NAc (bregma+2.20mm, left) and caudal NAc
(bregma+1.20mm, right) regions of interest that determined the size and location of
densitometry, as outlined in black. (B) Sample autoradiographs of sections at the medial
NAc (left) and caudal NAc (right) levels from saline control animals with regions of
interest outlined in black.
Table 2. Effects of chronic cocaine, heroin and speedball SA on densities of [3H]CFT
binding to DAT in rat NAc.
SA Group Medial NAc Density Caudal NAc Density
Saline 15.6 ± 0.61 13.1 ± 0.42
Cocaine 14.8 ± 0.76 13.1 ± 0.39
Speedball 15.1 ± 0.83 13.0 ± 0.43
Heroin 13.9 ± 0.59 12.6 ± 0.35
Mean (± SEM) quantitative autoradiography data quantified at the medial and caudal
levels of the NAc are presented as specific binding in pmol/mg of wet-weight tissue (n =
5-7/group). There were no significant differences in [3H]CFT binding density at either
level of the NAc.
A B
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Discussion
The present study revealed alterations in the binding parameters for DAT high-
and low-affinity binding sites in rat NAc following chronic SA of cocaine/heroin
combinations. Speedball SA resulted in a significant increase in the affinity of the DAT
low-affinity biding site for RTI-55, as well as a shift in the composition of binding sites
toward a greater percentage of high-affinity binding sites. Previous studies have also
reported that DAT contains both high- and low-affinities for certain ligands (Madras et
al., 1989a; Madras et al., 1989b; Boja et al., 1992; Pristupa et al., 1994; Staley et al.,
1994; Gracz and Madras, 1995; Rothman et al., 1995; Letchworth et al., 1999; Katz et al.,
2000; Mash et al., 2002). The physical nature of these high- and low-affinities,
specifically whether they represent binding sites for multiple ligands, and whether they
are distinct, overlapping, or one and the same in physical location on the DAT protein,
remains debated. The possible correlation between physical binding locations of DAT
substrates and observed high- and low-affinity binding characteristics would provide
valuable insight to the functional alterations in DAT following chronic drug abuse.
Computational modeling studies of DAT binding sites have recently utilized the
crystal structure of a homologue to Na+/Cl
--dependent neurotransmitter transporters,
bacterial leucine transporter from Aquifex aeolicus (LeuTAa) (Yamashita et al., 2005), and
reported divergent sites of DAT protein interactions with different ligands, namely DA
and cocaine. Several groups have reported a secondary pocket as the binding site for
cocaine distinct from the primary substrate binding site for DA (Singh et al., 2007;
Indarte et al., 2008; Shi et al., 2008; Huang et al., 2009; Quick et al., 2009; Gedeon et al.,
2010; Shan et al., 2011; Merchant and Madura, 2012). The binding sites are located at the
140
center of the 12 transmembrane (TM) segments of the DAT protein, within the alpha
helical structures of TMs 1, 3, 6 and 8 (Yamashita et al., 2005). In LeuTAa and DAT, the
primary binding site (S1) is located closer to the intracellular space, below the secondary
binding site (S2) which is located above S1 in the extracellular vestibule (Singh et al.,
2007; Shi et al., 2008; Huang et al., 2009; Quick et al., 2009). Computational modeling
employing minimum free energy profiles and atomic distances between DAT and its
ligands suggest that two Na+ ions and one DA molecule bind to S1 and that cocaine binds
to S2 (Merchant and Madura, 2012), at least at first (Huang et al., 2009). Huang et al.
report that the binding site at S2 can naturally accommodate cocaine, and that a
conformational change likely occurs between the TM segments surround the binding
pocket to allow cocaine to move into the S1 binding site. The authors also concluded that
cocaine can bind to DAT alone or DAT with DA substrate already bound in order to
inhibit the transport of DA, through both blocking the initial binding of DA to DAT and
by reducing the kinetic turnover of DAT once DA is bound, by inhibiting the
conformational change necessary to translocate DA internally (Huang et al., 2009). The
probability of cocaine binding to the S2 site is also supported by LeuTAa modeling with
the tricyclic antidepressant clomipramine which was reported to inhibit substrate uptake
non-competitively by binding to S2 and inducing a conformational change to stabilize the
extracellular gate in a closed conformation (Singh et al., 2007). However, when leucine is
modeled to bind to both S1 and S2 of LeuTAa, substrate binding at S2 acts as a symport
effector to allosterically trigger intracellular release of Na+ and substrate from S1 (Shi et
al., 2008). Insight into these physical characteristics of DAT binding sites and
mechanisms of substrate translocation lend support for our current results of increased
141
affinity at S2 and increased percentage of high-affinity DAT binding sites to provide a
mechanism by which we have previously observed a significant increase in baseline DAT
reuptake rate following chronic speedball SA (Pattison et al., 2012).
Integration of these modeled binding mechanisms with the reported membrane
binding calculations for DAT of one- versus two-site modeling suggests it is possible that
some ligands can accommodate a two-site fit by initially binding to the entryway site of
the binding pocket at S2 and also fit into the S1 binding site, possibly following an
allosteric change of the TMs surrounding the binding sites. Low-affinity DAT binding
that is described by two-site modeling of membrane binding data may in fact be
physically represented by the S2 site located in the substrate entryway, whereas high-
affinity DAT binding would be expressed as the primary binding site, S1. Our results of
RTI-55 binding to DAT conform to a two-site binding model, as others have also
reported in the past (Boja et al., 1992; Rothman et al., 1995; Letchworth et al., 1999).
Homologous competition assays with [3H]cocaine and unlabeled cocaine has also been
reported to best fit two-site binding hyperbolae (Madras et al., 1989a; Katz et al., 2000),
further supporting the unification of two-site membrane binding with the computational
models of cocaine binding to DAT at S2 and potentially relocating to S1 to block DA
binding and reduce the kinetic turnover (Huang et al., 2009). The binding characteristics
of RTI-55 can be directly applied to cocaine because of their close structural similarity,
and presumably applied to the smaller endogenous substrate DA.
Our results indicate that the Kd value for RTI-55 associated with the low-affinity
DAT binding site (Kd2) is significantly decreased following chronic speedball SA, which
is perhaps physically represented by the DAT S2 binding site, corresponding to an
142
increased affinity of DAT for cocaine-like substrates at the S2 binding site. The present
binding data also imply a shift in the composition of binding sites, by a significant
increase in the percent of high-affinity binding sites. Due to the concomitant decrease in
low-affinity binding sites, it is possible that there is no overall increase in DAT
expression, as supported by quantitative autoradiography with [3H]CFT. It is likely that
quantitative autoradiography did not show any significant differences between groups
because only one concentration of radioligand was used and could not detect the subtle
differences in affinity as were observed in the membrane experiments. The shift in
binding site composition toward increased high-affinity binding sites could be directly
related to the previously discussed observation of increased DAT reuptake rate following
speedball SA. In fact, an increase in the affinity at S2 also confers greater DAT reuptake
rate. The increased affinity of DAT at S2 may physically represent a relaxation in the
binding pocket in order to permit its substrate DA and other ligands to enter the
extracellular vestibule more easily and efficiently. A more flexible binding pocket
already in place would represent an outward facing conformation that is potentially ready
to complete its conformational change if two molecules of substrate bind to execute
symport of DA and Na+. Basal alterations in the DAT binding conformations to allow
greater outward facing states ready for substrate binding and transport would directly lead
to increased Vmax, as we have previously reported.
We hypothesize that this observation is indicative of the flexibility of the DAT
binding pocket including S1 and S2 following chronic speedball SA, and that substrates
like [125
I]RTI-55 are able to occupy more of the S1 binding sites as compared to the
saline controls, as observed in the shift in binding site composition toward more high-
143
affinity binding sites. This does not necessarily mean a dramatic alteration in chemical
composition of the binding pocket (e.g. via post-translational modifications); rather, the
mechanism of relaxation in binding sites may occur simply via faster or greater
sequestration of Na+ ions into the binding pocket. The sequential binding of two Na
+, one
Cl- and one DA has been previously described (Torres et al., 2003); however, these
previous methods would have been unable to predict the binding of a second substrate
molecule to induce an allosteric change and complete the reuptake on DA by
translocation through the plasma membrane (Shi et al., 2008). The dynamics of LeuT in
the region of the extracellular entryway associated with binding of Na+ and substrate
have been preliminarily captured with the use of site-directed spin labeling and electron
paramagnetic resonance analysis. The authors showed that Na+ increases the accessibility
of the extracellular entryway, specifically at TM1, TM3 and ECL4 that project into the
entryway above the binding site S1, as noted by an increase in motility and looser
packing of the vestibule in the presence of Na+ (Claxton et al., 2010). One mechanism by
which an Na+-induced outward facing conformational state could occur is by an increase
in extracellular levels of Na+ ([Na
+]e). Future studies are necessary to assess NAc [Na
+]e
following speedball SA, but it has been shown with repeated cocaine or amphetamine
injection that NAc core MSNs exhibit increased intrinsic excitability (Kourrich and
Thomas, 2009), which could also be a correlate of increased [Na+]e. If it can be shown
that the converse is true, as in cultured hippocampal neurons where elevated [Na+]e
directly increased intrinsic excitability, then elevations in [Na+]e may result from
administration of psychostimulants that significantly increase NAc [DA]e and
subsequently lead to alterations in DAT reuptake function.
144
Future experiments are necessary to deduce the physical correlates to the present
observations of increased affinity of DAT at the secondary binding site and increased
percentage of high-affinity binding without an overall increase in total DAT binding
sites, which contribute to an increase in baseline reuptake rate after prolonged speedball
SA. Identifying this structural information associated with high- and low-affinity binding
would provide valuable insight to drug-induced functional alterations in DAT and could
provide framework for designing novel allosteric modulators of DAT to aid in stabilizing
DA neurotransmission during withdrawal from DA-enhancing drugs of abuse.
Acknowledgements
The study was supported in part by R01 DA012498 (SEH) and P50 DA006634 (SRC).
145
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169
CHAPTER V
COMPARING IN VIVO AND IN VITRO ALTERATIONS IN DAT KINETICS
AND BINDING TO ELUCIDATE FUNCTIONAL ADAPTATIONS TO CHRONIC
SPEEDBALL SELF-ADMINISTRATION
Lindsey P. Pattison and Scott E. Hemby
Lindsey P. Pattison prepared the chapter and Scott E. Hemby acted in an advisory and
editorial capacity.
170
Introduction
The mechanism of action of cocaine/heroin combinations (speedball) to induce
supra-additive elevations in extracellular dopamine (DA) levels ([DA]e) in the nucleus
accumbens (NAc) (Hemby et al., 1999; Smith et al., 2006a) is the result of the combined
effects of cocaine-induced inhibition of DA transporter (DAT)-mediated reuptake (Pettit
and Justice, 1989) and heroin-induced disinhibition of dopaminergic neurons leading to
increased firing rates and DA release in the NAc (Johnson and North, 1992). The supra-
additive increases in NAc [DA]e observed with in vivo microdialysis in rats (Zernig et al.,
1997a; Hemby et al., 1999; Smith et al., 2006b) which underlie the potentiated
reinforcing effects of speedball observed with SA paradigms in rats (Ward et al., 2005)
and nonhuman primates (Mattox et al., 1997a; Rowlett and Woolverton, 1997b; Rowlett
et al., 2005) likely contribute to the continued patterns of speedball abuse in human drug
users. Currently, there are no approved pharmacotherapies for cocaine abuse.
Furthermore, many polysubstance abusers undergoing treatment for heroin addiction
admit to the concurrent use of cocaine (Hartel et al., 1995). These polydrug users exhibit
severely blunted rates of success for treatment (Downey et al., 2000b; Sofuoglu et al.,
2003; Tzilos et al., 2009). Because DAT is the sole transporter responsible for the
clearance of extracellular DA in the NAc, understanding the neurochemical adaptations
in DAT function will provide important insights to the state of dopaminergic
neurotransmission following long-term speedball use. Therefore, the studies discussed
here were undertaken to address the effects of chronic speedball self-administration (SA)
in rats on DAT functional alterations in the NAc.
171
Combining in vivo microdialysis and in vivo voltammetry results
To date, most of the published studies on the effects of cocaine/heroin
combinations have been of a behavioral nature, showing that dopamine D1 and D2
receptors (D1Rs and D2Rs), DAT and mu opioid receptors (MORs) are implicated in the
reinforcing effects of speedball SA (Mello and Negus, 1998, 2001; Cornish et al., 2005;
Mello and Negus, 2007). We began by investigating the neurochemical adaptations by
examining the effects of speedball administration on the kinetic parameters of DAT-
mediated reuptake in the NAc using in vivo fast-scan cyclic voltammetry (FSCV) in
anesthetized rats. FSCV can provide information about the dynamics of DAT kinetics
and how they adapt to modulate DA reuptake on a subsecond timescale, which gives us
insight to what molecular modifications may be occurring. When these data are examined
in comparison with our previous in vivo microdialysis data, we can gain a wealth of
information about speedball-induced alterations in DA neurotransmission. In order to
effectively compare and contrast these data sets, it is important to first understand the
differences between these techniques.
Microdialysis can provide assessments of in vivo concentrations of
neurotransmitters, metabolites and drug concentrations. These data have provided
important knowledge of in vivo concentrations of neurotransmitters of interest, such as
DA, which can offer accurate assessments of experimental protocols and allow one to ask
questions about the relevancy of different types of data, such as what receptor binding
constants mean relative to in vivo DA concentration ([DA]), for example (Justice, 1993).
Microdialysis has been particularly useful in the assessment of changes in
neurotransmitter levels in awake, behaving animals engaged in behaviors such as SA
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(Willuhn et al., 2010). In vivo voltammetry is an electrochemical technique that is
commonly used in conjunction with microdialysis to further characterize the dynamics of
DA neurotransmission (Stamford et al., 1989; Ng et al., 1991; Wu et al., 2001a). In vivo
voltammetry affords the advantages of a microscopic (μm) spatial scale and subsecond
temporal scale of detection as compared to the larger spatial (mm) and temporal (several
minutes) scales necessary for microdialysis techniques (Greco and Garris, 2003). Indeed,
the temporally resolved measurements are suitable for monitoring the rapid clearance of
DA and resolving the DAT kinetic parameters. FSCV allows for the analysis of DA
uptake kinetics separately from the contributions of DA release or metabolism, which
cannot be discerned from microdialysis studies (Wightman et al., 1988b; Wu et al.,
2001a). Although FSCV techniques are not without disadvantages, such as necessity of
artificial stimulation and lack of account for basal neurotransmitter levels, to be discussed
later.
In these voltammetric techniques, a high frequency electrical stimulation of
ventral tegmental area (VTA) dopaminergic cell bodies or the median forebrain bundle
projecting to the NAc elicits a spike in extracellular DA. The observed increase in [DA]e
during a pulse train is consequence of combined DA release due to electrical stimulation
and immediate DA reuptake by DAT. Following termination of the stimulus, the
voltammetric recording shows only DA uptake working to return DA to pre-stimulation
levels (Wightman et al., 1988b). Taking the first derivative of the DA decay curve and
plotting it versus [DA] yields a hyperbola following Michaelis-Menten kinetics. Setting
the derivative of [DA] equal to rate of stimulated DA release (stimulation frequency ×
[DA] release per pulse) minus the clearance rate defined by Michaels-Menten kinetics
173
allows the equation to be solved for the uptake parameters of maximal reuptake velocity
(Vmax) and the Michaelis-Menten constant representing apparent affinity (apparent Km)
(Wu et al., 2001a). Apparent Km refers to the observed affinity of DA for DAT
(Wightman et al., 1988b), and higher Km values correspond to lower DA uptake rates or
increased DA uptake inhibition. As such, we employed electrically stimulated FSCV in
anesthetized rats to assess the effects of cocaine, heroin and speedball on DAT uptake
kinetics in drug-naïve (Pattison et al., 2011b) and chronic self-administering animals
(Pattison et al., 2012).
The voltammetric study in Chapter II was undertaken to assess the acute effects of
a single bolus intravenous (i.v.) infusion of cocaine, heroin or speedball on electrically
stimulated DA release and DAT-mediated reuptake kinetics. The main findings provide
insight into reuptake inhibition by cocaine and the potential involvement of DA release-
mediating feedback mechanisms induced by speedball. Infusion of i.v. cocaine (1.0
mg/kg) and speedball (1.0 mg/kg cocaine + 0.03 mg/kg heroin) both significantly
potentiated evoked DA efflux as compared to pre-drug baseline levels. However, in
contrast to previous in vivo microdialysis data that showed speedball eliciting a
significantly greater level of [DA]e as compared to cocaine, FSCV showed that cocaine
infusion produced a significantly greater increase in evoked DA as compared to speedball
(Pattison et al., 2011b). The attenuated amplification in electrically evoked DA efflux
observed following speedball is likely due to feedback mechanisms activated by greater
accumulation of DA in the NAc extracellular space due to speedball administration.
Specifically, it is hypothesized that the supra-additive overflow of accumbal DA
known to occur based on the aforementioned microdialysis studies may lead to ancillary
174
activation of presynaptic D2R autoreceptors, beyond the potential activation attributable
to cocaine-induced DA overflow. Activation of the presynaptic D2R short isoform (D2S)
by extracellular DA overflow leads to subsequent attenuation of DA synthesis and release
from dopaminergic terminals (De Mei et al., 2009), which might only be detected at a
smaller timescale, as with FSCV. It logically follows that the speedball combination
which elicits greater non-stimulated DA overflow would then activate D2S to a greater
extent than cocaine alone in order to further attenuate NAc DA release. Thus the
synergistic increase in [DA]e as observed with in vivo microdialysis would not be
detected at this small timescale following immediate D2R autoreceptor feedback to
reduce further DA efflux by electrical stimulation. When considering this mechanism,
one must remember that the microdialysis observations of speedball-induced supra-
additive [DA]e in the NAc are over a large time scale (ten minute bins of dialysate
collection per data point). Thus the proposed D2R-mediated attenuation of DA release
occurring simultaneously with drug-mediated potentiation of DA release will result in the
net effect of increased DA release over such a large timeframe as in microdialysis
collections, especially considering that a rat will self-administer multiple i.v. drug
infusions over a single ten minute period. To further support the theory of D2
autoreceptor-mediated attenuation in electrically evoked DA release following i.v.
speedball, several studies have directly examined the effects of D2Rs on electrically-
evoked and drug-induced DA release.
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D2R modulation of DA release and DAT-mediated reuptake
Both pre- and postsynaptic D2Rs are involved in the regulation of DA release.
Postsynaptic D2Rs located in the NAc are able to regulate the release of glutamate
(Bamford et al., 2004), GABA (Centonze et al., 2002) and acetylcholine (Zhang et al.,
2009b), which in turn modulate DA release. Moreover, presynaptic D2Rs, or
autoreceptors, have been suspected as the primary controllers of D2-induced attenuation
in DA release (De Mei et al., 2009). Activation of autoreceptors by the D2R agonist
quinpirole has been shown to reduce evoked DA efflux with FSCV (Palij et al., 1990;
Bull and Sheehan, 1991; Wieczorek and Kruk, 1995; Jones et al., 1996; Mateo et al.,
2005). Conversely, blockade of autoreceptors enhanced evoked DA release, and
synergistically enhanced cocaine-induced DA overflow (Aragona et al., 2008).
Additionally, in the presence of the D2R antagonist sulpiride, electrically evoked DA
release was abolished by subsequent application of amphetamine, due to its
pharmacological activation of enhancing DA release (Jones et al., 1998a). Likewise, in
vivo microdialysis conducted in mice lacking D2R expression (D2R-/-
) following i.p.
injection of cocaine or s.c. injection of morphine (delivered to separate groups, not in
combination) that showed significantly increased [DA]e in D2R-/-
as compared to wild
type littermates (Rougé-Pont et al., 2002). One can therefore reason that speedball-
induced DA overflow will activate D2 autoreceptors more so than cocaine alone, and this
pharmacological effect would reduce further DA release by electrical stimulation; thus
leading to attenuation in evoked DA following i.v. speedball as compared to cocaine
alone as we observed with in vivo FSCV.
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Several reports also suggest that that D2 autoreceptor activation may alter the
kinetics of DA uptake by increasing Vmax upon autoreceptor activation (Meiergerd et al.,
1993; Parsons et al., 1993). Wu et al. showed that D2 autoreceptors concurrently
downregulate DA release and upregulate DAT-mediated reuptake in the NAc and caudate
putamen (CPu) of anesthetized rats using in vivo FSCV (Wu et al., 2002). Newer studies
have used site-specific D2R knockout mice to show that both pre- and postsynaptic D2Rs
are able to control evoked DA release, but that only presynaptic autoreceptors control
DAT reuptake (Anzalone et al., 2012). Furthermore, Bolan et al. have elucidated the
mechanism by which D2 autoreceptors mediate DAT reuptake. D2R autoreceptor agonist
activation in live cells co-expressing D2S and DAT increased phosphorylation of
extracellular signal-regulated kinases (ERK1/2) and rapidly increased cell-surface
expression of DAT to enhance DA clearance rate. The study also suggests the possibility
of a direct physical interaction between DAT and presynaptic D2Rs (Bolan et al., 2007).
Our data show a slight increase in Vmax following acute cocaine and speedball
injection in drug-naïve animals (Pattison et al., 2011b) as well as significantly increased
baseline Vmax following chronic speedball SA (Pattison et al., 2012). Overall we surmise
this data to represent compensation for chronic repeated elevations in accumbal [DA]e
during long-term speedball SA. These observations may also be extrapolated to
immediate and prolonged activation of presynaptic D2Rs by drug-induced DA overflow,
respectively, to enhance DAT clearance rate and likely surface expression. The long-term
effect of elevated DA clearance in speedball SA animals likely contributes to a basal
hypodopaminergic state in these animals. Basal [DA]e cannot be accurately measured
using electrically stimulated FSCV techniques (Chen and Budygin, 2007), thus our
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evoked DA data cannot support this theory. Although there were no significant
differences observed in baseline [DA]e between cocaine and speedball SA groups with in
vivo microdialysis (Hemby et al., 1999; Smith et al., 2006b), the dialysate extraction
methods used were not those that can most accurately measure basal DA levels. In order
to precisely measure basal DA differences following chronic SA, multiple dialysate
collections need to be performed with no net flux methods of varying [DA] added to the
perfusate and/or varying the perfusion flow rates in order to extrapolate basal [DA]e at
zero net flow (Parsons and Justice, 1992). Aside from of the consequence that elevated
DAT reuptake rate may have on basal [DA]e, it is important to understand the physical
mechanism(s) by which Vmax is increased following speedball SA in order to propose
methods for reversing this effect as a possible addiction treatment technique.
Physical correlates of DAT kinetic alterations
DAT trafficking and surface expression
Increased Vmax can be correlated with a few different mechanisms. The first and
most widely accepted is increased DAT surface expression. Cocaine has been shown to
increase Vmax for in vitro [3H]DA uptake assays (Wheeler et al., 1994) with
corresponding increased cell-surface expression of DAT as shown by surface
biotinylation (Daws et al., 2002) or radioligand binding (Little et al., 2002). These studies
show kinetic increases in Vmax with no change in Michaelis-Menten constant Km.
Typically, an inhibitor acting through changes in Vmax and not Km is considered a
noncompetitive inhibitor (Greco and Garris, 2003). However, Samuvel et al. (2008)
178
showed that cocaine SA and withdrawal leads to increased DAT surface expression (with
concomitant decrease in cytosolic DAT expression) in the caudate putamen (CPu) but not
in the NAc, and that increased cell-surface DAT expression in the CPu was linked to
increased DAT association with protein phosphatase 2A catalytic subunit (PP2Ac) and
decreased serine phosphorylation of DAT (Samuvel et al., 2008). Though there was no
increase in DAT surface expression in the NAc, they did, however, show with tritiated
DA ([3H]DA) uptake that cocaine SA increased Vmax in both CPu and NAc
synaptosomes. There was no change observed in Km in the CPu, but a significant
reduction in Km was measured in the in the NAc, relating to increased affinity of DAT for
DA (Samuvel et al., 2008). Thus for the case of increased Vmax in the NAc, enhanced
uptake rate is not due to increased DAT expression, but increased affinity of the
transporter for its substrate. An inhibitor acting through alterations in both Km and Vmax is
said to work as an uncompetitive inhibitor (Greco and Garris, 2003). In Chapter III, we
detected a significant increase in Vmax but no change in apparent Km following chronic
speedball SA (Pattison et al., 2012), also supporting that cocaine is acting as a
noncompetitive inhibitor.
Unpublished observations from our lab of DAT protein quantification in the NAc
using Western blotting have shown an increase in the 80 kDa N-glycosylated form of
DAT in the membrane fraction following chronic speedball SA, but this result was only
significant compared to the heroin SA group, not cocaine or saline. Cocaine SA rats did
not showed increased DAT in NAc membranes, as some other studies have reported.
Similar to the results from Samuvel et al. (2008) previously mentioned, we also saw a
concomitant decrease in the 80 kDa band of DAT in the cytosol fraction of speedball SA
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animals, which was significantly reduced compared to saline controls (Hemby and
McIntosh, unpublished). Though not conclusive, these data suggest that increased cell
surface expression of DAT via trafficking of transporter to the plasma membrane
following speedball SA may contribute to the observed increase in Vmax with FSCV, at
least partially. It is also possible that there are changes in DAT affinity that we were
unable to detect with electrically stimulated in vivo FSCV, as these techniques are very
different from in vitro [3H]DA uptake. Though FSCV is regarded as a steadfast technique
for measuring cocaine inhibition of DAT uptake, the use of high frequency electrical
stimulation and the methods of voltammetric analysis may not be as ideal to detect the
nature of alterations in DAT affinity that could be occurring following concurrent cocaine
and heroin SA, as they are for DAT alterations due to cocaine alone.
Methods for analyzing DAT reuptake parameters
Michaelis-Menten modeling of voltammetric data relies on [DA] and also on the
affinity of DAT for cocaine to calculate both apparent Km and Vmax (Greco and Garris,
2003; Chen and Budygin, 2007). Conversely, evoked DA release also depends on Km,
Vmax and DA released per pulse, which also directly relates to stimulation frequency.
These relationships in the modeling methods make it difficult to discern uptake kinetics,
especially when discriminating competitive from noncompetitive DAT inhibitors, which
exhibit distinct relationships between evoked DA and frequency (Greco and Garris,
2003). This could prove problematic, as cocaine has been shown to act as a competitive
inhibitor by altering Km (Krueger, 1990), a noncompetitive inhibitor by decreasing Vmax
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(Missale et al., 1985), and an uncompetitive inhibitor by altering both Km and Vmax
(Wheeler et al., 1994; Samuvel et al., 2008; Ferris et al., 2011; Calipari et al., 2012). In
fact, even within similar experimental techniques employing FSCV the effects of cocaine
SA on the uptake parameters apparent Km and Vmax are not entirely agreed upon. In vitro
FSCV performed in rats following brief cocaine SA (five days) showed significantly
decreased baseline Vmax as well as a significant reduction in dopamine uptake inhibition
by cocaine as shown by decreased apparent Km values with cocaine on board (Ferris et
al., 2011; Calipari et al., 2012). Mateo et al. also performed in vitro FSCV following
binge cocaine SA in rats. In contrast to the previously mentioned studies, baseline Vmax
was significantly increased in cocaine SA rats following one or seven days withdrawal.
However, both withdrawal groups did show attenuated apparent Km with cocaine on
board (Mateo et al., 2005) in agreement with the other in vitro FSCV results, meaning
that cocaine is less effective at inhibiting DAT following cocaine SA. On the other hand,
Oleson et al. employed in vivo FSCV and showed significantly increased baseline Vmax in
cocaine SA animals while no changes were observed in apparent Km at baseline or
following cocaine injections (Oleson et al., 2009b). Our in vivo FSCV results in chronic
cocaine SA rats showed no alterations in Vmax or apparent Km at baseline or following a
single cocaine infusion as compared to drug-naïve animals, but our observations in
speedball SA rats were similar to those in cocaine SA animals by Oleson et al. (Pattison
et al., 2012). In order to further investigate the observation of significantly increased Vmax
with no accompanying changes in apparent Km in chronic speedball SA animals, we
utilized additional methods of radioligand binding in NAc membrane preparations and
quantitative receptor autoradiography in striatal brain sections to potentially identify
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underlying physical correlates in transporter binding to these DAT reuptake functional
parameters.
Radioligand binding assays in membrane preparations can provide information
about the affinity of a receptor for a certain ligand (related inversely to the dissociation
constant, Kd) and the density of binding sites in the tissue for that ligand (Bmax), while
quantitative autoradiography can show the region-specific binding density of a
radioligand to its receptor. Membrane binding and quantitative autoradiography studies
have been extensively performed in animal and human striatal tissue following cocaine
administration. Most of these studies agree that cocaine increases DAT density in the
NAc (Little et al., 1993b; Staley et al., 1994; Wilson et al., 1994; Hitri et al., 1996;
Letchworth et al., 1997; Little et al., 1998; Little et al., 1999; Letchworth et al., 2001a;
Mash et al., 2002; Ben-Shahar et al., 2006; Bailey et al., 2008; Miguens et al., 2008;
Beveridge et al., 2009). Of these studies that utilized membrane binding methods in
addition to others that reported no changes in DAT density, none of the reports showed
alterations in DAT affinity following cocaine SA (Little et al., 1993b; Staley et al., 1994;
Hitri et al., 1996; Wilson et al., 1996; Letchworth et al., 1997; Little et al., 1998;
Letchworth et al., 1999; Little et al., 1999; Mash et al., 2002). One may infer that with an
abundance of literature supporting increased density of DAT ligand binding that more
agreement would be seen in kinetic analyses of DAT Vmax following cocaine SA, since
the two findings of increased DAT expression and increased reuptake rate should be
associated. Due to the methodological differences between FSCV studies and in vitro
binding assays, and the means by which voltammetric data are fit to simple Michaelis-
Menten enzyme modeling, it is understandable why this discrepancy exists.
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Membrane binding data can be analyzed using nonlinear regression analyses that
do not necessarily follow Michaelis-Menten parameters and assumptions. In fact, many
binding studies with DAT ligands have found that two-site binding hyperbola models are
best-fit for certain ligands (Madras et al., 1989a; Madras et al., 1989b; Boja et al., 1992;
Staley et al., 1994; Gracz and Madras, 1995; Letchworth et al., 1999; Katz et al., 2000),
which can provide a more detailed description of binding characteristics than one
generalized binding constant or affinity term, as with Michaelis-Menten modeling. Our
investigation of DAT binding parameters using the cocaine-like DAT inhibitor 3β-(4-
iodophenyl)tropan-2β-carboxylic acid methyl ester (RTI-55) in membrane binding assays
in the NAc showed a trend toward increased Kd for the high-affinity DAT binding site
following cocaine SA, as well as a significant decrease in the Kd of DAT for RTI-55 at
the low-affinity binding site following speedball SA (Pattison et al., unpublished, see
Chapter IV). These data imply a significant increase in the affinity of DAT for substrate
binding at the low-affinity binding site following speedball SA. We did not observe any
significant alterations in the density of iodinated RTI-55 ([125
I]RTI-55) binding to the
high-affinity DAT binding site following speedball SA, as confirmed by subsequent
quantitative autoradiography using tritiated 3β-(4-fluorophenyl)tropan-2β-carboxylic acid
methyl ester ([3H]CFT). However, we did observe a shift in the composition of high- and
low-affinity DAT binding sites following speedball SA, as a significant increase in the
percent of high-affinity sites with a concomitant decrease in the percent of low-affinity
binding sites, with no overall change in total Bmax. This shift in binding site composition
may represent a physical alteration in the binding pocket of DAT in order to allow
substrates better access to the high-affinity binding site, which may contribute to the
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observed increase in reuptake rate following speedball SA. Taken together, these in vitro
binding data imply specific alterations in DAT binding that lend additional support for
the observed alterations in DAT reuptake function that are likely independent from any
possible increases in DAT expression.
DAT protein structure and mechanism of DA translocation
The physical nature of high- and low-affinity DAT binding sites has not been
experimentally described. Researchers have attempted to predict the location of DAT
substrate binding sites since the 1990s when researchers began performing site-directed
amino acid mutations based on primary amino acid sequence from the originally cloned
DAT cDNA (Kilty et al., 1991; Shimada et al., 1991). But the physical protein-substrate
interactions of DAT had not been described until recently when Yamashita et al. reported
the successful crystal structure of a bacterial homologue to sodium/chloride (Na+/Cl
-)-
dependent neurotransmitter transporters, leucine transporter from Aquifex aeolicus
(LeuTAa) (Yamashita et al., 2005). The X-ray diffraction pattern of LeuT revealed a
dimeric protein containing 12 transmembrane (TM) segments in a unique fold with a
substrate binding site for leucine located at the center of the protein. A pseudo-twofold
axis of symmetry is present in the plane of the plasma membrane, which is dictated by a
structural repeat in the first ten TMs that relates TM1-5 with TM6-10 (Yamashita et al.,
2005). The binding pockets for leucine and Na+ are formed by TMs 1, 3, 6 and 8. TM3
and TM8 are long helices related by twofold symmetry along a tilted axis through the
plasma membrane, and TM1 and TM6 are characterized by unwound breaks in their
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helical structures in the middle of the lipid bilayer (Yamashita et al., 2005). These breaks
expose main carbonyl oxygen and nitrogen atoms for direct interaction with the substrate
and two Na+ ions, which also interact with the unwound portions of TM1 and TM6 to
provide a key stabilizing role in substrate binding. The authors note that the structure is
crystallized in a conformation in which both external and internal gates are closed, but
that the structure predicts substantial conformational movements to perform secondary
active transport (Yamashita et al., 2005). TMs 1, 3, 6 and 8 are predicted to act in the
major conformational change, along with extracellular loop 4 (ECL4), which forms a lid
over the substrate binding site and is thought to act as the extracellular gate. The internal
gate is thought to be comprised of the cytoplasmic end of TM6 that forms a cation-π
interaction with the N-terminus just below TM1, which forms a salt bridge with other
residues at the cytoplasmic end of TM8. These intracellular gate interactions are thought
to be essential in stabilizing the transporter in an outward-facing conformation
(Yamashita et al., 2005).
This atomic-resolution structure has since allowed for three-dimensional
computational modeling of substrate binding interactions for eukaryotic Na+/Cl
--
dependent neurotransmitter transporters, namely DAT. Currently, there are several
different results regarding the substrate binding locations and patterns for DAT. One side
of the debate has suggested that there exists a single binding site into which DA and
inhibitors such as cocaine can bind, and that the amino acid binding sites for DA and
cocaine are overlapping. Using the LeuT structure as a template for DAT modeling,
Beuming et al. reported that the binding site for cocaine and cocaine analogs is also
deeply buried between TM segments 1, 3, 6 and 8, and overlaps with the binding sites for
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the substrates DA and amphetamine, as well as for benztropine-like DAT inhibitors such
as CFT. This overlapping binding site model suggests that the molecular basis for
inhibition of DA transport by cocaine is by competitive inhibition (Beuming et al., 2008).
The other side of the debate says that there exist two distinct binding sites in LeuT
and DAT that are allosterically coupled, both located at the center of the protein as
predicted, but with the primary site (S1) located deeper toward the intracellular surface
and the secondary binding site (S2) located above the primary, closer to the extracellular
surface (Singh et al., 2007; Indarte et al., 2008; Shi et al., 2008; Huang et al., 2009; Quick
et al., 2009; Gedeon et al., 2010; Shan et al., 2011; Merchant and Madura, 2012). Quick
et al. reported a logical reason for the possible discrepancy between those groups
reporting a single binding site versus those favoring two distinct binding sites within the
pocket. The detergent initially used for LeuT crystallization, n-octyl-β-D-
glucopyranoside (OG), acts as an inhibitor to the LeuT S2. Using a different detergent, n-
dodecyl-β-D-maltopyranoside (DMM), comparison of the two forms of LeuT crystals in
these detergents revealed that the OG-resolved crystals represent functionally blocked
states of LeuT where inhibitors can bind in the S2 site, whereas a substrate bound in S2
would promote a different state essential for the Na+-coupled symport mechanism (Quick
et al., 2009). Other studies that suggest inhibition at the S2 location were performed in
LeuT models with the tricyclic antidepressant, clomipramine. Singh et al. reported that
clomipramine noncompetitively inhibited substrate uptake in LeuT by binding to an
extracellular-facing vestibule (same binding site as S2) located just above the primary
binding pocket (same binding site as S1) where leucine and two Na+ were bound.
Clomipramine binding stabilized ECL4, which acts as the extracellular gate, in a closed
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conformation to trap the leucine substrate in S1 of LeuT (Singh et al., 2007). Shi et al.
showed that the same residues participating in clomipramine binding to LeuT can also
bind a leucine substrate, and that dual substrate binding to S1 and S2 allosterically
triggers intracellular release of Na+ and the leucine substrate from S1. In this manor,
substrate binding to S2 functions as a symport effector to induce transport, in opposition
to inhibitor binding at S2 which acts as a symport uncoupler to inhibit transport (Shi et
al., 2008).
Much like these studies using LeuT and its substrate leucine to predict S1 and S2
binding sites and transport mechanisms, computational modeling of DAT with DA and
cocaine have shown similar binding and transport mechanisms. Cocaine is shown to bind
to S2 with a better structural fit than S1 using atomic distances and free energy profiles
(Huang et al., 2009; Merchant and Madura, 2012). Huang et al. reported that cocaine
binds to S2, at least initially, since S2 can naturally accommodate cocaine without the
need for a large conformational change in DAT, but that cocaine may move further into
S1 (which would represent overlapping binding mode) after DAT makes some necessary
conformational change to expand the binding site cavity. They also hypothesized that
because of the electrostatic repulsion between positively charged DA and positively
charged cocaine, the affinity of cocaine for the complex of DAT with DA bound (DAT-
DA) is expected to be significantly lower than that of cocaine binding with DAT in the
absence of DA (Huang et al., 2009). The authors proposed three equilibrium binding
processes are present when cocaine and DA coexist with DAT, where DAT complexes
with DA alone (DAT-DA), DAT complexes with cocaine alone (DAT/cocaine) and DAT
complexes with both DA and cocaine (DAT-DA/cocaine). By defining each binding
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reaction with a dissociation constant and utilizing their observed free energy calculations
from computational modeling, the authors report that the amount of DAT-DA is
dependent on the concentrations of DA and cocaine in the environment, and that when
the concentration of cocaine used in an experimental assay is much less than the
dissociation constant for the formation of the DAT-DA/cocaine complex, cocaine would
preferentially bind to DAT over DAT-DA (Huang et al., 2009). On the contrary, when a
cocaine concentration used in an experimental assay is much greater than the dissociation
constant for DAT-DA/cocaine formation, the experimental observation of cocaine
blocking DAT-DA binding should be close to that of a noncompetitive inhibitor because
cocaine can always bind with DAT regardless if DA is already bound or not (Huang et
al., 2009). Taken together, these binding site models and predictions of bound DAT
complexes show that the initial cocaine binding site on DAT does not overlap with but is
close to the DA binding site, and that DA cannot bind if cocaine is blocking the DA entry
tunnel at S2 but cocaine can bind to DAT regardless if DA is already bound or not. When
both DA and cocaine bind to DAT, the DAT protein is not expected to undergo the
conformational change necessary for transport of DA to the intracellular space, so
cocaine may inhibit the transport of DA through both blocking the initial binding of DA
to DAT and by reducing the kinetic turnover of DAT after DA is bound (Huang et al.,
2009).
Incorporation of these reported binding mechanisms with regard to membrane
binding calculations of one- versus two-site modeling suggests it is possible that some
ligands can accommodate a two-site fit by initially binding to the entryway site of the
binding pocket at S2 and also fit into the S1 binding site, possibly following an
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appropriate conformational change in DAT that allows induced-fit binding of substrates.
The S2 site located in the substrate entryway may in fact represent the low-affinity DAT
binding site that is elucidated by two-site modeling of membrane binding data, whereas
the primary binding site, S1, would be represented by high-affinity DAT membrane
binding. Our binding data of RTI-55 to DAT in NAc membranes conform to a two-site
binding model, as others have also reported in the past (Boja et al., 1992; Rothman et al.,
1995; Letchworth et al., 1999). Membrane binding assays with tritiated ([3H]) cocaine
and unlabeled cocaine have also been shown to fit two-site binding modeling (Madras et
al., 1989a; Katz et al., 2000), further supporting the unity of two-site membrane binding
with the computational model of cocaine-like ligands binding to DAT at S2 and
potentially relocating to S1 (Huang et al., 2009). Although we did not employ the use of
[3H]cocaine in these binding studies, the chemical structure of RTI-55 is only different
from cocaine by an ester group (on cocaine) and a 4-iodophenyl addition (on RTI-55)
(Davies et al., 1994), so the binding characteristics can be directly applied to cocaine and
generally applied to the smaller endogenous substrate DA.
Speedball may alter DAT binding sites to increase reuptake rate
Our results indicate that chronic speedball SA significantly decreased the Kd
value associated with the low-affinity binding site, which could potentially be physically
represented by the cocaine binding site S2 on DAT. The decrease in low-affinity Kd
corresponds to an increased affinity of DAT for cocaine-like substrates at the S2 binding
site. We also observed a shift in the composition of binding sites, by a significant
189
increase in the percent of high-affinity binding sites and concomitant decrease in low-
affinity binding sites indicating no overall increase in DAT expression, as supported by
quantitative autoradiography with [3H]CFT. This shift toward increased high-affinity
binding sites could be directly related to the previously discussed observation of
increased DAT reuptake rate following speedball SA (Pattison et al., 2012). In fact, an
increase in the affinity at the low-affinity site, or S2, may also confer greater reuptake
rate. The increased affinity of DAT at S2 may physically represent a relaxation in the
binding pocket in order to allow substrates into the entryway more easily and efficiently.
If this is true, then it would follow that substrates are able to slide from S2 to S1 with
more ease, as the conformational change for flexibility within TMs 1, 3, 6 and 8
surrounding the entire binding pocket containing S1 and S2 may have already begun.
However, we would suspect that increased affinity of DAT for cocaine-like substrates at
S2 would be indicated by a change in apparent Km from voltammetric data, which we did
not observe. This theory could still be possible without an alteration in apparent Km, as
these reaction constants Kd and Km are calculated very differently. As previously
mentioned, the calculation of apparent Km relies upon several factors that are also
changing during FSCV recordings, such as stimulation frequency, amount of DA released
and Vmax (Greco and Garris, 2003), whereas two-site binding modeling only relies on
substrate concentration and the measured output, which in this case is radioactive counts
representing amount of ligand bound. It is possible that the use of high frequency
electrical stimulation in our FSCV experiments as well as potential alterations in basal
[DA] that were not accounted for may have contributed to no observation in apparent Km
even though there appears to be an alteration in DAT affinity at the S2 binding site
190
(decreased Kd2). Additionally, with the Michaelis-Menten model using only one reaction
constant, this may represent an averaging of the affinity contributions from both high-
and low-affinity binding sites depicted from the two-site membrane binding experiments
and the difference observed in the low-affinity site may be lost in averaging.
It is important to note that the shift in binding site composition toward more high-
affinity binding sites does not necessarily mean a dramatic alteration in chemical
composition (e.g. via post-translational modifations) of the binding pocket. Rather, we
hypothesize that this observation is indicative of the flexibility of the whole binding
pocket including S1 and S2 following chronic speedball SA, such that substrates similar
to the radioactive cocaine-like ligand [125
I]RTI-55 was able to occupy more of the S1
binding sites as compared to the saline controls, as indicated by an increased percent of
high-affinity binding sites with [125
I]RTI-55 binding. The mechanism by which a
relaxation in the DAT binding pocket may occur to allow substrates easier access to the
S1 site could include faster or greater sequestration of Na+ ions to open the binding
pocket. Claxton et al. utilized site-directed spin labeling and electron paramagnetic
resonance analysis to capture the dynamics of LeuT in the region of the extracellular
entryway associated with binding of Na+ and substrate. The results showed that Na
+
increases the accessibility of the extracellular entryway, specifically at TM1, TM3 and
ECL4 that project into the entryway above the binding sites (Claxton et al., 2010). The
authors noted an increase in motility and looser packing of the vestibule in the presence
of Na+ and thus greater induction of an outward-facing conformation. Na
+-induced
relaxation of the entryway would indicate greater accessibility to S2, which is located in
the binding pocket entrance above S1. Perhaps long-term speedball SA leads to increased
191
[Na+]e that could contribute to a relaxed entryway into the DAT binding site, which
would be a contributing factor in our observations of increased DAT affinity at the low-
affinity S2 binding site. This loosening of the entryway would also allow substrates to
enter the binding pocket and slide into the high-affinity S1 binding site with greater ease,
contributing also to our observed increase in the percent of high-affinity binding and
overall increased baseline reuptake rate.
Although further studies are necessary to confirm similar findings following
speedball SA, it has been shown with repeated cocaine or amphetamine administration
during the period of early abstinence that NAc core medium spiny neurons (MSNs)
exhibit increased intrinsic excitability, although opposite effects were observed in the
NAc shell (Kourrich and Thomas, 2009). The authors reported an increase in NAc core
MSN firing capacity, decreased inter-spike interval, increased duration of spike trains and
decreased first-spike latency in NAc core MSNs, although there was no observed change
in input resistance, possibly do to the lower input resistance of NAc core neurons as
compared to shell (Kourrich and Thomas, 2009). These alterations in intrinsic excitability
following cocaine or amphetamine administration may be applicable to speedball, as all
three drugs function to increase NAc [DA]e, albeit by slightly different mechanisms.
Even though calcium and glutamate signaling also contribute to increased intrinsic
excitability of NAc core MSNs, it is possible that an increase in extracellular Na+ levels
([Na+]e) contributes to the increased excitability following treatment with drugs that
increase [DA]e. Measuring [Na+]e in vivo is a difficult task due to the rapid speed at
which the sodium gradient is regulated by the Na+/K
+-ATPase, and to date there have
been no reports on the effects of increased DA or administration of drugs of abuse
192
directly on [Na+]e in the NAc. However, if long-term speedball SA did indeed increase
[Na+]e, it is likely that this increase would contribute to the increased excitability of NAc
core MSNs. This idea is inferred from whole cell patch clamp experiments performed in
cultured hippocampal pyramidal cells where increases in [Na+]e directly increased both
action potential frequency and amplitude (Arakaki et al., 2011). These alterations indicate
both a pre- and postsynaptic mechanism of increased intrinsic excitability, but it is
possible that only increased action potential frequency would result from increased [Na+]e
in slices, since the results have only been published in cultured neurons thus far.
Experiments investigating the effects of speedball SA on NAc [Na+]e could lend credence
to our hypothesis that DAT binding site flexibility may be induced by basal increases in
[Na+]e following chronic SA.
Although we have determined that chronic speedball significantly increased the
maximal reuptake rate of DAT and affinity of the low-affinity DAT binding site, and we
have identified a shift toward a greater percentage of high-affinity DAT binding sites
exposed for radioligand binding, we cannot discount the possibility of other transport
mechanisms being involved in these observations. Organic cation transporters (OCTs)
belong to a family of polyspecific transporters expressed throughout various mammalian
tissues including the brain and thought to function in a detoxification capacity (Amphoux
et al., 2006). In vitro uptake assays for monoamines have been conducted with rat and
human OCT1, OCT2 and OCT3 transfected in HEK293 cells. [3H]DA uptake could only
be detected with human OCT2, while rat OCT1-3 all showed affinity for DA, albeit in the
1-2 µM range while DAT affinity for DA is in the nM range (Amphoux et al., 2006).
OCT3 protein has been shown to be expressed in the NAc, CPu and VTA in small cells
193
(5-8 µm in size), hypothesized to be glia because of the much larger dimensions of
typical neurons in those basal ganglia regions (Gasser et al., 2009). Because of the low
affinity of OCTs for DA, it is hypothesized that these proteins may be active during
instances of very high concentrations of monoamines, and as such the role of OCTs
should be examined in the case of supra-additive increases in NAc [DA]e caused by
speedball administration. Even though OCTs have a markedly reduced affinity for DA
than DAT does, the possibility that our membrane binding data for the low-affinity DAT
binding site may actually represent radioligand binding to an OCT protein does exist.
However, this is unlikely due to both the order of magnitude difference between our
observed low-affinity Kd value and the affinities reported for OCT1-3, as well as the
same study that reported no effect on [3H]DA uptake by addition of cocaine to the assay
(Amphoux et al., 2006), implying that cocaine-like compounds will not bind to OCT
proteins.
Future experiments are desired to elucidate the physical mechanisms by which we
observe greater affinity of DAT at the low-affinity or secondary binding site and a shift
toward increased percentage of high-affinity binding without an overall increase in total
DAT binding sites, which contribute to an increase in baseline reuptake rate after
prolonged speedball SA. Logically, we would next determine if speedball administration
could possibly contribute to an increase in NAc [Na+]e and if DAT can maintain an
altered conformation and increased uptake rate in such an environment. We would also
utilize site-directed mutagenesis to determine any possibilities of amino acids that may
contribute to an open-facing DAT conformation and then determine if these mutant
DATs do function at an increased rate of reuptake. Our findings incorporated with the
194
current literature investigating DAT binding sites and DA translocation mechanisms will
hopefully spur the continued research of the effects of chronic elevated [DA]e by drug-
induced mechanisms, particularly those involving multiple substances, as the need for
greater understanding of the neurochemical alterations from polydrug abuse is urgent.
195
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APPENDIX
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CHAPTERS II AND III FOR THIS DISSERTATION
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SCHOLASTIC VITAE
Lindsey P. Pattison, Ph.D.
Education
Wake Forest University Graduate School of Arts and Sciences
Aug. 2008 – May 2013
Winston-Salem, NC 27157
Doctor of Philosophy Degree received on May 20, 2013
Graduate Program: Program in Neuroscience
Laboratory of Dr. Scott Hemby in the Department of Physiology and
Pharmacology
James Madison University Aug. 2004 – May 2008
Harrisonburg, VA 22807
Bachelor of Science Degree Received on May 3, 2008
Major: Chemistry (American Chemical Society Certified Biochemistry
Concentration)
Minor: Mathematics
Academic and Professional Activities and Honors
2007 Granted a stipend by the US National Science Foundation to participate in the
Research Experience for Undergraduates Program in the Chemistry
Department at James Madison University
2008 American Institute of Chemists Award from James Madison University
2008 Granted a travel award by the JMU Chemistry Department to attend the 235th
American Chemical Society National Meeting
2008 Invited oral presentation at the James Madison University Undergraduate
Student Research Day
2010 Abstract selected for inclusion as a lay-language summary in the Press Book
for the 40th
Meeting of the Society for Neuroscience
2012 Invited oral presentation at the 8th
Annual Conference of the US Human
Proteomics Organization
2012 Awarded a Career Development Award at the 8th
Annual Conference of the
US Human Proteomics Organisation
2012 Appointed Assistant Editor of an Open Access journal, Neuroproteomics
2012 Awarded a scholarship to attend the 2nd
Latin American School of Advanced
Neurochemistry, “The synapse in health and disease”
2012 Awarded the Best Student Poster Presentation Award at the 5th
Special
Conference of the International Society of Neurochemistry
2012 Granted the Alumni Student Travel Award by the Wake Forest Graduate
School of Arts and Sciences to attend the 42nd
Annual Meeting of the Society
for Neuroscience
2013 Awarded the Runner-Up to Best Poster Award for the Integrative Science
Category at the 13th
Annual Graduate Student and Postdoctoral Fellow
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Research Day for Wake Forest Graduate School of Arts and Sciences
Professional Societies
2007 – 2008 Member, American Chemical Society
2008 – 2013 Member, Society for Neuroscience
2008 – 2013 Member, Western North Carolina Chapter of the Society for
Neuroscience (WNCSfN)
2008 – 2013 Member, Brain Awareness Council, Wake Forest University Graduate
School of Arts and Sciences
2009 – 2010 Committee Chairperson, Faculty Teaching Award Council, Program in
Neuroscience at Wake Forest University Graduate School
2009 – 2010 Member, Project REACH Tutoring for High School Students, Wake
Forest University
2009 – 2013 Contributing Author for The Neurotransmitter, quarterly newsletter for
the WNCSfN
2009 – 2013 Steering Committee Member, Brain Awareness Council
2010 – 2013 Committee Chairperson of Brain Awareness Week for Brain
Awareness Council
Publications
1. Pattison LP, Bonin KD, Hemby SE, Budygin EA. 2011. Speedball induced
changes in electrically stimulated dopamine overflow in rat nucleus accumbens.
Neuropharmacology, 60(2-3), 312-317. PMID: 20869972.
2. Pattison LP, McIntosh S, Budygin EA, Hemby SE. 2012. Differential regulation
of accumbal dopamine transmission in rats following cocaine, heroin and
speedball self-administration. J Neurochem, 122(1), 138-146. PMID: 22443145.
3. Pattison LP, McIntosh S, Sexton T, Xiao R, Grigg AL, Childers SR, Hemby SE.
In preparation to be submitted. Effects of cocaine, heroin and speedball self-
administration on dopamine transporter binding sites.
Abstracts
1. Pattison LP, East RE, Mariani VL. April 9, 2008. Kinetic analysis of N-
acylethanolamine-hydrolyzing acid amidase toward a novel class of anti-
inflammatory drugs. The 235th
American Chemical Society National Meeting.
2. Pattison LP, Hemby SE, Budygin EA. October 30, 2009. Effects of cocaine,
heroin and speedball on dopamine dynamics in the rat nucleus accumbens: a
voltammetry study. 2009 Western North Carolina Chapter of the Society for
Neuroscience Research Symposium.
3. Pattison LP, McIntosh S, Horman BM, Budygin EA, Hemby SE. November 14,
2010. Comparison of mesolimbic dopaminergic system neurotransmission using
in vivo microdialysis and fast-scan cyclic voltammetry following cocaine, heroin
and “speedball” self-administration. The 40th
Annual Meeting of the Society for
Neuroscience.
4. Pattison LP, McIntosh S, Horman BM, Budygin EA, Hemby SE. November 19,
2010. Comparison of mesolimbic dopaminergic system neurotransmission using
in vivo microdialysis and fast-scan cyclic voltammetry following cocaine, heroin
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and “speedball” self-administration. 2010 Western North Carolina Chapter of the
Society for Neuroscience Research Symposium.
5. Pattison LP, McIntosh S, Grinevich V, Budygin EA, Hemby SE. June 21, 2011.
Dopamine transmission following acute and chronic “speedball” administration.
The 73rd
Annual Meeting of the College on Problems of Drug Dependence.
6. Pattison LP, Riegle MA, Staniforth ER, Skelly MJ, Dolson EP, Martucci KT,
Willard SL, Wiggins WF, Perret DS, Godwin, DW. November 12, 2011. Brain
awareness season in NC’s triad area. Annual Brain Awareness Campaign Event at
the 41st Annual Meeting of the Society for Neuroscience.
7. Pattison LP, Tannu NS, McIntosh S, Grigg AL, Hemby SE. November 16, 2011.
Membrane proteomic analysis of rat nucleus accumbens following self-
administration of cocaine, heroin and cocaine/heroin combinations. The 41st
Annual Meeting of the Society for Neuroscience.
8. Pattison LP, Tannu NS, McIntosh S, Grigg AL, Hemby SE. November 18, 2011.
Membrane proteomic analysis of rat nucleus accumbens following self-
administration of cocaine, heroin and cocaine/heroin combinations. 2011 Western
North Carolina Chapter of the Society for Neuroscience Research Symposium.
9. Pattison LP, Tannu NS, McIntosh S, Grigg AL, Hemby SE. March 6, 2012.
Membrane proteomic analysis of rat nucleus accumbens following self-
administration of cocaine, heroin and cocaine/heroin, “speedball,” combinations.
The 8th
Annual Conference of the US Human Proteomics Organization.
10. Pattison LP, Tannu NS, McIntosh S, Grigg AL, Hemby SE. March 29, 2012.
Membrane proteomic analysis of rat nucleus accumbens following speedball self-
administration. The 12th
Annual Graduate Student and Postdoctoral Fellow
Research Day for Wake Forest Graduate School of Arts and Sciences.
11. Pattison LP, Tannu NS, McIntosh S, Grigg AL, Hemby SE. September 13, 2012.
Membrane proteomic analysis of rat nucleus accumbens following speedball self-
administration. The 5th
Special Conference of the International Society for
Neurochemistry.
12. Pattison LP, Aston ER, Riegle MA, Rose JH, Spence TE, Skelly MJ, Johnston
W, Haynes K, Bach S, Godwin DW. October 14, 2012. Wake Forest University’s
Brain Awareness Council: Illuminating minds, one brain at a time. The 42nd
Annual Meeting of the Society for Neuroscience.
13. Pattison LP, Childers SR, Xiao R, Grigg AL, Hemby SE. October 17, 2012.
Altered dopamine transporter and D2 receptor expression and function in the
nucleus accumbens of rodents following chronic self-administration of
cocaine/heroin combinations. The 42nd
Annual Meeting of the Society for
Neuroscience.
14. Pattison LP, Sexton T, Xiao R, Grigg AL, McIntosh S, Childers S, Hemby SE.
December 6, 2012. Altered dopamine transporter function in the nucleus
accumbens of rodents following chronic self-administration of cocaine/heroin
combinations. 2012 Western North Carolina Chapter of the Society for
Neuroscience Research Symposium.
15. Pattison LP, Sexton T, Xiao R, Grigg AL, McIntosh S, Childers S, Hemby SE.
March 21, 2013. Altered dopamine transporter function in the nucleus accumbens
of rodents following chronic self-administration of cocaine/heroin combinations.
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The 13th
Annual Graduate Student and Postdoctoral Fellow Research Day for
Wake Forest Graduate School of Arts and Sciences.
Teaching Experience
Biochemistry Lab Teacher’s Assistant 2007 – 2008
James Madison University, Department of Chemistry and Biochemistry
Conducted hands-on demonstrations for small groups in lab
and one-on-one instruction for laboratory protocols and
homework assignments
Course Facilitator: Dr. Victoria Mariani
Brain Awareness Council Activities 2008 – 2013
Wake Forest University Graduate School of Arts and Sciences
Attended 20+ visits to K-12 schools in the Winston-Salem area
to run hands-on activity stations while introducing topics in
neuroscience to students
Coordinated the activity stations for field trips to local
museums for 400+ students each spring during Brain
Awareness Week
Faculty Director: Dr. Dwayne Godwin
Course Designer and Facilitator for Scientific Outreach (GRAD 709 & 710)
2012 – 2013
Wake Forest University Graduate School of Arts and Sciences
Designed this course for graduate students to receive credit for
participating in scientific outreach and got the course approved
by the graduate school office
Created a syllabus and facilitated the course for two semesters
o GRAD 709 & 710 were added to the Graduate Program
in Neuroscience required curriculum
Faculty Director: Dr. Dwayne Godwin
Guest Lecturer for Anatomy & Physiology II (BIO 2312) August 29 & 31, 2012
Winston-Salem State University, Department of Life Sciences
Adapted and presented lecture presentations from the text on neuroanatomy
and cranial nerves
Used preserved human brains for an interactive demonstration with the
students
Course Professor: Dr. Jeff Overholt
Guest Lecturer for Pharmacology for Doctoral of Physical Therapy Students
(DPT 6206) January 9, 2013
Winston-Salem State University
Developed and presented a lecture on the topic of psychostimulants for the
“Drug Abuse Workshop” in a pharmacology course for Physical Therapy
students
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Designed an in-class activity and prepared questions for an exam to evaluate
the students
Course director: Dr. Allyn Howlett, Professor of Physiology and
Pharmacology at Wake Forest School of Medicine
Adjunct Laboratory Instructor for Anatomy & Physiology I (BIO 165)
Sept. 2012 – May 2013
Guilford Technical Community College, Department of Biology
Taught one laboratory section of Anatomy & Physiology I
during the fall 2012 semester
Teaching three laboratory sections of Anatomy & Physiology I
during the spring 2013 semester
Used human models and dissected preserved cats to teach
students about the skeletal, muscular, blood vessel, digestive,
urinary, respiratory and reproductive systems
BIO 165 Laboratories Chair: Jeremy Creech
Biology Department Chair: Dr. George Whitesides
Professional Development Activities
Teaching & Learning Center Seminars Fall 2012 & Spring 2013
Wake Forest University Professional Development Center
Attended the following seminars in the “Post Docs and Teaching Assistants
New Instructor Series”
o What are Learning Objectives and How to Write Them (September 20,
2012)
o Interactive Teaching (October 11, 2012)
Attended the following seminars in the “Science, Technology, Engineering
and Mathematics (STEM) Series”
o Introduction to Scientific Teaching (January 29, 2013)
Seminar Facilitator: Catherine Ross, Director of the Teaching and Learning
Center
Topics in College Level Teaching (GRAD 720) Fall 2012 & Spring 2013
Wake Forest University Graduate School of Arts and Sciences
Graduate-level course offered to Ph.D. Candidates only
Received credit for completing teaching internships and creating a teaching
portfolio
Course director: Dr. Allyn Howlett, Professor of Physiology and
Pharmacology at Wake Forest School of Medicine