Chrome Extension
WeChat Mini Program
Use on ChatGLM

A Randomized Proof-Of-Mechanism Trial Applying The 'Fast-Fail' Approach To Evaluating Kappa-Opioid Antagonism As A Treatment For Anhedonia

NATURE MEDICINE(2020)

Cited 112|Views111
No score
Abstract
A phase 2 proof-of-mechanism trial shows that a kappa-opioid receptor antagonist improves reward-related functioning in the brain and a clinical measure of anhedonia in patients with mood and anxiety disorders, serving as a model for implementing the 'fast-fail' approach to psychiatric treatment development.The National Institute of Mental Health (NIMH) 'fast-fail' approach seeks to improve too-often-misleading early-phase drug development methods by incorporating biomarker-based proof-of-mechanism (POM) testing in phase 2a. This first comprehensive application of the fast-fail approach evaluated the potential of kappa-opioid receptor (KOR) antagonism for treating anhedonia with a POM study determining whether robust target engagement favorably impacts the brain circuitry hypothesized to mediate clinical effects. Here we report the results from a multicenter, 8-week, double-blind, placebo-controlled, randomized trial in patients with anhedonia and a mood or anxiety disorder (selective KOR antagonist (JNJ-67953964, 10 mg; n = 45) and placebo (n = 44)). JNJ-67953964 significantly increased functional magnetic resonance imaging (fMRI) ventral striatum activation during reward anticipation (primary outcome) as compared to placebo (baseline-adjusted mean: JNJ-67953964, 0.72 (s.d. = 0.67); placebo, 0.33 (s.d. = 0.68); F(1,86) = 5.58, P < 0.01; effect size = 0.58 (95% confidence interval, 0.13-0.99)). JNJ-67953964, generally well tolerated, was not associated with any serious adverse events. This study supports proceeding with assessment of the clinical impact of target engagement and serves as a model for implementing the 'fast-fail' approach.
More
Translated text
Key words
Depression,Drug development,Biomedicine,general,Cancer Research,Metabolic Diseases,Infectious Diseases,Molecular Medicine,Neurosciences
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined