predicting mixture effects
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Predicting mixture effects. the causality chain from molecule to population. Tjalling Jager Dept. Theoretical Biology. Contents. Complexity of multiple stress Classic mixture approach Following the causality chain Case studies with TKTD models Take home messages. - PowerPoint PPT PresentationTRANSCRIPT
Predicting mixture effects
Tjalling JagerDept. Theoretical Biology
the causality chain from molecule to population
Contents
Complexity of multiple stress
Classic mixture approach
Following the causality chain
Case studies with TKTD models
Take home messages
Complexity of multi-stress
Predictions at the population/community level In the field, multiple stress is the norm Questions:
– do stresses add up?– do stressors interact?
Complexity of multi-stress
insecticidalBt-proteins
xenobioticchemicals
environmentalstress
intra-speciesinteractions
inter-speciesinteractions
Current status
Ecotoxicological research: descriptive at the individual level mechanistic at the molecular level sketchy at population/community level
dose
resp
onse
Classic mixture models
Dose-response curve for compound A and B
dose A
resp
onse
dose B
resp
onse
Classic mixture models
Combine using reference model:– “response multiplication”: chemicals act independently– “concentration addition”: chemicals act as dilutions
dose 1dose 2
resp
onse
dose Adose B
resp
onse
dose 1dose 2
resp
onse
resp
onse
dose Adose B
Classic mixture models
Combine using reference model:– “response multiplication”: chemicals act independently– “concentration addition”: chemicals act as dilutions
dose A
dose
B
dose A
dose
B50% effect50% effectsynergism
antagonism
synergism
antagonism
What is the relevance?
This analysis is usually done … with one reference model, for one endpoint, at one time point.
dose 1dose 2
resp
onse
resp
onse
0
1
2
3
4
5
0 1 2 3 4 5 6time (weeks)
TU m
ixtu
re 5
0% e
ffect
syn.ant.
What is the relevance?Van Gestel & Hensbergen (1997)Environ. Toxicol. Chem.
reproductionbody weight
Cadmium and zincReference: conc. add.
What is the relevance?
This analysis is usually done … with one reference model, for one endpoint, at one time point.
And test conducted … at constant exposure, under one set of conditions.
dose 1dose 2
resp
onse
resp
onse
population dynamics
Causality chain
protectiongoals
external exposure
life-history traits
toxicitytesting
molecular targets
mechanisticstudies ?internal
exposure
toxico-kinetics
Effect on reproduction
Effect on reproduction
Effect on reproduction
Effect on reproduction
Effect on reproduction
No single pathway for effects on reproduction!
Energy budget
How are resources used to fuel life history? Subject of DEB theory
– dynamically linking all traits over the life cycle
growth
maintenancematuration
offspring
Kooijman (2001)Phil. Trans. B
population dynamics
Causality chain
protectiongoals
external exposure
life-history traits
toxicitytesting
molecular targets
mechanisticstudies
metabolic processes
energybudget
growth
maintenancematuration
offspring
internal exposure
toxico-kinetics
population dynamics
Causality chain
protectiongoals
external exposure
life-history traits
toxicitytesting
molecular targets
mechanisticstudies
metabolic processes
energybudget
internal exposure
toxico-kinetics
Fill this chain with mechanistic models …– predict impact on populations/communities– deal with time-varying exposure– extrapolate to different environments– predict impact of multiple stress ...
toxicitytesting
energybudget
survivalin time
survivalmodel ‘GUTS’
growth, repro, etc.
Case studies: TKTD
external exposure
metabolic processes
internal exposure
toxico-kinetics
toxicokinetics toxicodynamics
growth
maintenancematuration
off spring
‘DEBtox’
Jager et al. (2006)Ecotoxicology
Jager et al. (2011)Environ. Sci. Technol.
Simple mixture rules
compound ‘target’
add internal concentrations (with weights)
maintenance costs
growth costs
survival prob.
metabolic process
…
Jager et al. (2010)Ecotoxicology
Simple mixture rules
compound ‘target’
maintenance costs
growth costs
survival prob.
metabolic process
…
Jager et al. (2010)Ecotoxicology
Simple mixture rules
combine independent effectsin the energy budget
compound ‘target’
maintenance costs
growth costs
survival prob.
metabolic process
…
Jager et al. (2010)Ecotoxicology
Case study: survival
Baas et al. (2007)Environ. Toxicol. Chem
Mixture of Cd and CuModel fit to all survival
data in time …
Case study: survival
Baas et al. (2007)Environ. Toxicol. Chem
Mixture of Cd and CuModel fit to all survival
data in time …
Case study: sub-lethal
Insecticide fenvalerate and food stress Based on standard 21-day reproduction test
– survival, size and reproduction over time– pulse exposure in first 24 hours– two food levels
Pieters et al. (2006)Ecotoxicology
Fenvalerate and food
Same model parameters– for all endpoints over
time – for 2 food levels
Apparent synergism …
Pieters et al. (2006)Ecotoxicology
life-history traits
TKTD models
external exposure
toxicitytesting
metabolic processes
growth
maintenancematuration
off spring
energybudget
internal exposure
toxico-kinetics
toxicokinetics toxicodynamics
fluoranthene pyrene
PAHs in Daphnia Based on standard 21-day reproduction test
– 10 animals per treatment– length, reproduction and survival every 2 days
Jager et al. (2010)Ecotoxicology
0 5 10 15 200
0.2
0.4
0.6
0.8
1
frac
tion
surv
ivin
g
0 5 10 15 200
0.2
0.4
0.6
0.8
1
frac
tion
surv
ivin
g
0 5 10 15 20
time (days)0 5 10 15 20
time (days)0 5 10 15 200 5 10 15 20
0
10
20
30
40
50
60
70
80
90
cum
ulat
ive
offs
prin
g pe
r fem
ale
0
0.5
1
1.5
2
2.5
3bo
dy le
ngth
(mm
)
00 (solv.)0.08650.1730.346
0
0.5
1
1.5
2
2.5
3bo
dy le
ngth
(mm
)
00 (solv.)0.08650.1730.346
00 (solv.)0.2130.4260.853
00 (solv.)0.2130.4260.853
0.0865 0.2130.173 0.4260.260 0.6400.0865 0.6400.260 0.2130.346 0.853
0.0865 0.2130.173 0.4260.260 0.6400.0865 0.6400.260 0.2130.346 0.853
pyrene fluoranthene mixtures
costs reproduction(and costs growth)
same target
Iso-effect lines
0 0.05 0.1 0.15 0.2 0.25 0.30
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8t = 10
t = 10
t = 14
t = 14
t = 14
t = 14
t = 18
t = 18
t = 18
t = 18
t = 21
t = 21
t = 21
t = 21
pyrene (μM)
fluor
anth
ene
(μM
)
50% survival
0 0.05 0.1 0.15 0.2 0.25 0.3
t = 10
t = 14
t = 14
t = 21
t = 21
pyrene (μM)
t = 10
t = 18
t = 18t = 10
50% reproduction
for body length <50% effect
population dynamics
Causality chain
Requires inter-disciplinary research
molecular target
metabolic process
life-history traits
internal exposure
external exposure
environmentalchemistry
toxicokinetics
molecularbiology
survival models andenergy budgets
population biology
toxicodynamics
toxicity testing
?
Take-home messages
More steps in the causality chain– not just toxicity testing and molecular mechanisms– e.g., toxicokinetics, energy budgets, population dynamics
Each step requires mechanistic models– effects change with time, environment, etc.– standardisation is not a solution ...
Interactions occur anywhere in the chain– strong synergistic effects are rare– interaction is very difficult to predict or to exclude