4.8 Article

A randomized proof-of-mechanism trial applying the 'fast-fail' approach to evaluating κ-opioid antagonism as a treatment for anhedonia

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NATURE MEDICINE
卷 26, 期 5, 页码 760-+

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NATURE PORTFOLIO
DOI: 10.1038/s41591-020-0806-7

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  1. National Institute of Mental Health [HHS-N271-2012-000006-I]
  2. [R37 MH068376]
  3. NATIONAL INSTITUTE OF MENTAL HEALTH [ZIAMH002955] Funding Source: NIH RePORTER

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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.

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