in vitro safety profiling during lead optimisation
DESCRIPTION
In Vitro Safety Profiling During Lead Optimisation. Murray Brown Manager, Data Interpretation and Business Process Screening and Compound Profiling. Drug Discovery Process. Target Selection. Candidate Selection. IND filing. NDA filing. Basic Research. Lead Discovery. - PowerPoint PPT PresentationTRANSCRIPT
In Vitro Safety Profiling During Lead Optimisation
Murray BrownManager, Data Interpretation and Business ProcessScreening and Compound Profiling
Drug Discovery Process
Basic Research
Lead Discovery
Preclinical Development
Clinical Development
FDA Filing
Target Selection
CandidateSelection
INDfiling
NDAfiling
3 1 6 1.5Years
Once a candidate is selected the pharmacological properties of the molecule are fixed
High Throughput Screening approaches apply within Lead Discovery to:– Reduce the cycle time from target selection to candidate selection– Increase the number of candidates per program– Increase the quality of candidates selected
Strategies to Improve the Quality of Lead and Candidate Generation
Robust screening infrastructure– Automation quality control– Statistical methods for hit selection
Quality “drug-like” compound libraries– Low molecular weight and cLogP
New Screening Paradigms– Fragment Screening– Encoded Library technology
Relevant assay biology– Native cellular systems– Biophysical Screening
Pharmacology of lead series– Ability to assess on-target and off-target activity
Causes of Attrition – Safety & Efficacy
EARLY LATEStrategic 243 18
Resources 19 2Efficacy 229 25Safety 457 8
Technical 93 0Unknow n 42 3
Total 1083 56
Termination ReasonsEARLY LATE
Strategic 29 3Resources 0 1
Eff icacy 25 2Safety 65 4
Technical 7 0Unknow n 5 0
Total 131 10
GSK
KMR Group R&D General Metrics Study Final Report July 1, 2010
KMR TerminologyEarly Dev: Preclin up to Ph III StartLate Dev: Start Ph III to Launch
Reasons For NME Termination By Stage2005-2009 Industry Portrait
Addressing the Challenge of Drug Safety in Early Discovery
Vision• To increase candidate quality and probability of clinical success
through the identification and mitigation of safety hazards in chemical series prior to candidate selection
Strategy• Using high throughput techniques, implement panels of assays for use
in early discovery that identify likely safety liability in hits, leads and candidates
Attrition Reduction Activities in GSK
Strategic Intent– Implement assays during H2C to identify and manage compound series
likely to cause toxicity in preclinical or clinical studies
Assays configured during 2009-2010 with capacity to screen 1200 hits, leads and candidates/year
eXP Cardiotoxicity Hepatotoxicity Genotoxicity
A bi-weekly panel of 50 molecular target assays with known
clinical liability
A panel of IonChannel assaysenabled by high
throughputelectrophysiology
GreenScreen assay licensed to
identifyGenotoxicants
Cell Health assaydetects 70% of
known hepatotoxicants
eXP (enhanced cross screen panel)
Cardiac/vascular:KCNQ1/minKL-type CaVR4M2Adenosine 2aβ2 adrenergicα1b adrenergicα2a adrenergic
Gastro-intestinal:5-HT3PDE4BGSK3bPI3k
Neuromuscular:a1bgd nAChR
Neuronal:a1b3g2 GABASERTDATNETM1MAO-BμopioidκopioidDopamine 1Dopamine 2Histamine 1NK1
Immunological:LCKCannabinoid 2
Nav1.5Kv1.5
5-HT1B5-HT2A5-HT2C
COX2V1a
Hepatic:OATP1B1PXR
11 point dose response curveFunctional/activity assays
Interpharma Safety Profiling
Knowledge-Sharing - Secondary Pharmacology Screening
AstraZenecaJoanne Bowes
NovartisSteven
WhitebreadJacques Hamon
PfizerGareth Waldron
GlaxoSmithKlineAndrew Brown
Arun Sridhar• What Targets?• What Technologies?• What Process?• Shared Case Studies
PharmaxisWolfgang Jarolimek
2009-present Outcomes:• Poster at SPS meeting:
• Rational design of an in vitro safety profiling panel to reduce undesired secondary pharmacology of drug candidates. Steven Whitebread, Joanne Bowes, Andrew Brown, Jacques Hamon, Wolfgang G. Jarolimek, Gareth Waldron and Arun Sridhar Journal of Pharmacological and Toxicological Methods; 64(1), July-August 2011, Page e18.
• Manuscript - in preparation
CNS(GABAA)
(Barracuda)
Cardiac Ion Channels
High Throughput Electrophysiology Assays to predict Functional Cardiotoxicity
See posters by Metul Patel et al on hERG IonWorks® population patch clamp and Joanna Taylor et al on stem cell derived Cardiomyocytes
hERGNaV1.5CaV1.2KV1.5
KCNQ1(IonWorks® and PatchXpress®)
Genetic Toxicology: The GreenScreen Assay
Genotoxic agents either react directly with DNA or disrupt the cellular apparatus which regulate the fidelity of the genome
Regulations require a minimum of 3 GLP tests:– a test for gene mutation in bacteria (for
example, the Ames test),– a test for chromosomal aberrations in vitro or the
MLA– an in vivo test for chromosomal damage in
rodent haematopoietic cells.
The GADD45a gene is upregulated in response to DNA damage in the GreenScreen assay (Gentronix)
Reporter transfected into Human p53 competent lymphoblastoid cells
15% of pre-candidates are terminated due to Genotoxicity
GSK has licensed the GreenScreen HC genotoxicity assay for profiling of hits, leads and candidates
Early stage (HitID and SoC) identification of GreenScreen HC actives enable LO chemistry to focus on molecules without this liability
BlueScreen HC has now been implemented to allow higher throughput
31 of 34 known genotoxic agents induced GADD45a
reporter
41 of 41 non-genotoxic agents did not induce the GADD45a reporter
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Blank 0.03 0.06 0.13 0.25 0.50 1.00 2.00 4.00 8.00µg/ml Etoposide
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Blank 7 14 28 57 114 228 456 911 1822µg/ml D-Mannitol
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Genetic Toxicology: GreenScreen Assay
See poster by Kate Simpson et al on BlueScreen assay validation
Cell Health Assay to Detect Hepatotoxicants
Drug-Induced Liver Injury (DILI) is a recurrent problem in pharmaceutical developmentIdiosyncratic hepatotoxicity is one of the leading causes of drug withdrawals, non-approvals and warnings (Kaplovitz 2005)Can we identify hepatotoxicants prior to candidate selection and reduce attrition due to pre-clinical or clinical hepatotoxicity?
• 96well assay using HepG2 (Human liver carcinoma) cells
GSK Cell Health Assay Description
Measures cytotoxic effect of compounds in human liver-derived HepG2 cells in 384-well format3 parameter automated imaging assay Using fluorescent staining, the key parameters measured in this assay are : -· Nuclear Condensation
Hoechst 33342Cell permeable DNA binding dye
· Mitochondrial membrane potentialTMRM Accumulates in healthy Mitochondria but leaks out when mitochondrial membrane potential is discharged
· Membrane permeabilityTOTO-3Cell membrane impermeable nuclear stain
Impaired mitochondrial function is an early indicator of cell injury whereas loss of membrane integrity and changes in nuclear morphology are indicators of acute or late stage cytotoxicity. Quantification is carried out using the InCell
Example images
NucleiMitochondrial
PotentialMembrane
Permeability
Negative Control
Postive Control
Typical dose response curves
Correlation between Cell Health readouts
Compounds usually show very similar IC50s in all 3 readouts, but there are exceptions where toxicity is specific to a single readout
Cell Health Assay to Detect Hepatotoxicants
The Cell Health assay for profiling of hits, leads and candidates
Early stage elimination of Cell Health actives enable LO chemistry to focus on molecules without this liability
Concentration5E-7 1E-6 5E-6 1E-5 5E-5 0... 0.0... 5E-7 1E-6 5E-6 1E-5 5E-5 0... 0.0... 5E-7 1E-6 5E-6 1E-5 5E-5 0... 0....
-50
-25
0
25
50
75
100
125
150
Compound A failed due to liver toxicity.
No reported hepatotoxicity forCompounds B and C.
A CB
Negative compounds 28/28Human and rat hepatotoxicants 29/30Cytotoxicants 4/4Idiosyncratic human hepatotoxicants 3/18
Frequency of toxicity in Cell Health for marketed drugs and failed clinical candidates
Drug FC0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
71
55
226
59Failed Candidates twice as likely to be active in Cell Health than marketed drugs
Significant proportion of marketed drugs show toxicity in Cell Health
Drugs FailedDevelopmentCandidates
Active in Cell Health
Inactive in Cell Health
Toxic compounds? Toxic dose
Alle Ding' sind Gift, und nichts ohn' Gift; allein die Dosis macht, daß ein Ding kein Gift ist. "All things are poison and nothing is without poison, only the dose permits something not to be poisonous."
Phillippus Aureolus Theophrastus Bombastus von Hohenheim (1493-1541)
Paracelsus
Cell Health cytotoxicity vs normal and toxic exposure levels
Cell Health pIC50100 uM 10 uM
Exp
osur
e le
vel
Therapeutic or ‘normal’ blood concn
Toxic blood concn
Therapeutic and toxic blood concentrations of more than 800 drugs and other xenobiotics M. Schulz, A. Schmoldt Pharmazie 58(7) 2003 447-474 http://fscimage.fishersci.com/webimages_FSC/downloads/winek.pdf
10 nM
100 uM
1 uM
What drives cytotoxicity?i) Physchem properties - clogP
What drives cytotoxicity?ii) Physchem properties – rotatable bonds
What drives cytotoxicity?iii) chemical series
Cell Health cytotoxicity by chemical cluster
clogP distribution for each cluster
clogP vs Cell Health pIC50
Cel
l Hea
lth p
IC50
Cell Health Cytotoxicity is SAR-able in lead optimisation
Physicochemical properties can be manipulated to reduce likelihood of Cell Health cytotoxicity
– ↓clogP, ↓# aromatic rings, ↓heavy atom count (or ↑ >50!), ↑ heteroatoms, ↓ rotatable bonds
Cell Health cytotoxicity is a feature of chemical series beyond their physicochemical properties (toxicophores)
– Early screening in Cell Health assay at HitID allows selection of series with lower likelihood of cytotoxicity
Cell Health Assay Related to Promiscuity in eXP
x ≤ 0.10 0.10 < x ≤ 0.20 0.20 < x ≤ 0.30 0.30 < x ≤ 0.40 0.40 < x0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
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19
19 24
17
156
36
3 5
1
Fraction assays with pXC50 >5Green = Inactive in Cell HealthRed = Active in Cell Health
In vitro cross screening profile of selected drugs
Assay
Non-promiscuous, highly tolerable, non-toxic in Cell health
a1B a2Cb2
Low promiscuity, mechanism based toxicity detected by eXP, non-toxic in Cell Health
Highly promiscuous, low tolerability, toxic in Cell Health
Moderately promiscuous and highly tolerable, non-toxic in Cell health
CB2 Ag
Attrition Reduction Toolkit: An annotated one-stop-shop for all attrition reduction assays at GSK
Attrition Reduction Toolkit: An annotated one-stop-shop for all attrition reduction assays at GSK
Compound Structure
Profile similarity in eXP
Conclusions
We have implemented a panel of assays in early discovery to assess toxicity hazards in hit and lead seriesAssays are annotated according to likely clinical effectEach assay is not decision making in isolation
– Data enables comparative decisions between chemical series– Activity in multiple assays needs to be considered
Assays can be used to drive SAR Cell Health assay in HepG2 cells concords well with physicochemical properties shown to be important in clinical attrition and clinical in vivo tolerabilityExposure levels are key for toxicology (as well as efficacy) expected dose is important factor to be included in interpretation of early Safety Profiling data
AcknowledgementsSteve Rees (formerly Screening and Compound Profiling)Andrew Brown (Screening & Compound Profiling)Dave Morris (Screening & Compound Profiling)Wolfgang Jarolimek (formerly Screening and Compound Profiling)Joanna Taylor (Screening & Compound Profiling)Kate Simpson (Screening & Compound Profiling)Metul Patel (Screening & Compound Profiling)Rob Jepras (Screening & Compound Profiling)Rob Eagle (Screening & Compound Profiling)Darren Green (Computational & Structural Chemistry)Cerys Lovatt (Safety Assessment)Julie Holder (Safety Assessment/Stem Cells)Nick McMahon (Safety Assessment)Paul Hastwell (Safety Assessment)Patrick Wier (Safety Assessment)Steve Clarke (DMPK)Bob Hertzberg (Screening & Compound Profiling)Many other GSK scientists responsible for generating the assays and data