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Therapeutic Methods and Therapies TCIM
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1.
Br J Pharmacol ; 175(4): 708-725, 2018 02.
Article in English | MEDLINE | ID: mdl-29214652

ABSTRACT

BACKGROUND AND PURPOSE: Benzodiazepines, non-selective positive allosteric modulators (PAMs) of GABAA receptors, have significant side effects that limit their clinical utility. As many of these side effects are mediated by the α1 subunit, there has been a concerted effort to develop α2/3 subtype-selective PAMs. EXPERIMENTAL APPROACH: In vitro screening assays were used to identify molecules with functional selectivity for receptors containing α2/3 subunits over those containing α1 subunits. In vivo receptor occupancy (RO) was conducted, prior to confirmation of in vivo α2/3 and α1 pharmacology through quantitative EEG (qEEG) beta frequency and zolpidem drug discrimination in rats respectively. PF-06372865 was then progressed to Phase 1 clinical trials. KEY RESULTS: PF-06372865 exhibited functional selectivity for those receptors containing α2/3/5 subunits, with significant positive allosteric modulation (90-140%) but negligible activity (≤20%) at GABAA receptors containing α1 subunits. PF-06372865 exhibited concentration-dependent occupancy of GABAA receptors in preclinical species. There was an occupancy-dependent increase in qEEG beta frequency and no generalization to a GABAA α1 cue in the drug-discrimination assay, clearly demonstrating the lack of modulation at the GABAA receptors containing an α1 subtype. In a Phase 1 single ascending dose study in healthy volunteers, evaluation of the pharmacodynamics of PF-06372865 demonstrated a robust increase in saccadic peak velocity (a marker of α2/3 pharmacology), increases in beta frequency qEEG and a slight saturating increase in body sway. CONCLUSIONS AND IMPLICATIONS: PF-06372865 has a unique clinical pharmacology profile and a highly predictive translational data package from preclinical species to the clinical setting.


Subject(s)
GABA Modulators/pharmacology , Receptors, GABA-A/physiology , Translational Research, Biomedical/methods , Allosteric Regulation/drug effects , Allosteric Regulation/physiology , Animals , CHO Cells , Cricetinae , Cricetulus , Dose-Response Relationship, Drug , Drug Evaluation, Preclinical/methods , GABA Modulators/chemistry , HEK293 Cells , Humans , Male , Positron-Emission Tomography/methods , Rats , Rats, Sprague-Dawley
2.
Nat Rev Drug Discov ; 14(7): 475-86, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26091267

ABSTRACT

The pharmaceutical industry remains under huge pressure to address the high attrition rates in drug development. Attempts to reduce the number of efficacy- and safety-related failures by analysing possible links to the physicochemical properties of small-molecule drug candidates have been inconclusive because of the limited size of data sets from individual companies. Here, we describe the compilation and analysis of combined data on the attrition of drug candidates from AstraZeneca, Eli Lilly and Company, GlaxoSmithKline and Pfizer. The analysis reaffirms that control of physicochemical properties during compound optimization is beneficial in identifying compounds of candidate drug quality and indicates for the first time a link between the physicochemical properties of compounds and clinical failure due to safety issues. The results also suggest that further control of physicochemical properties is unlikely to have a significant effect on attrition rates and that additional work is required to address safety-related failures. Further cross-company collaborations will be crucial to future progress in this area.


Subject(s)
Drug Delivery Systems/methods , Drug Discovery/methods , Drug Industry/methods , Drugs, Investigational , Animals , Drug Delivery Systems/statistics & numerical data , Drug Delivery Systems/trends , Drug Discovery/statistics & numerical data , Drug Discovery/trends , Drug Evaluation, Preclinical/methods , Drug Evaluation, Preclinical/statistics & numerical data , Drug Evaluation, Preclinical/trends , Drug Industry/statistics & numerical data , Drug Industry/trends , Drugs, Investigational/administration & dosage , Humans , Statistics as Topic/methods , Statistics as Topic/trends
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