Establishing Moderators And Biosignatures Of Antidepressant Response In Clinical Care (embarc): Rationale And Design

Trivedi, Madhukar H.; McGrath, Patrick J.; Fava, Maurizio; Parsey, Ramin V.; Kurian, Benji T.; Phillips, Mary L.; Oquendo, Maria A.; Bruder, Gerard; Pizzagalli, Diego; Toups, Marisa; Cooper, Crystal; Adams, Phil; Weyandt, Sarah; Morris, David W.; Grannemann, Bruce D.; Ogden, R. Todd; Buckner, Randy; McInnis, Melvin; Kraemer, Helena C.; Petkova, Eva; Carmody, Thomas J.; Weissman, Myrna M.

Remission rates for Major Depressive Disorder (MDD) are low and unpredictable for any given antidepressant. No biological or clinical marker has demonstrated sufficient ability to match individuals to efficacious treatment. Biosignatures developed from the systematic exploration of multiple biological markers, which optimize treatment selection for individuals (moderators) and provide early indication of ultimate treatment response (mediators) are needed. The rationale and design of a multi-site, placebocontrolled randomized clinical trial of sertraline examining moderators and mediators of treatment response is described. The target sample is 300 participants with early onset ( 30 years) recurrent MDD. Non-responders to an 8-week trial are switched double blind to either bupropion (for sertraline nonresponders) or sertraline (for placebo non-responders) for an additional 8 weeks. Clinical moderators include anxious depression, early trauma, gender, melancholic and atypical depression, anger attacks, Axis II disorder, hypersomnia/fatigue, and chronicity of depression. Biological moderator and mediators include cerebral cortical thickness, task-based fMRI (reward and emotion conflict), resting connectivity, diffusion tensor imaging (DTI), arterial spin labeling (ASL), electroencephalograpy (EEG), cortical evoked potentials, and behavioral/cognitive tasks evaluated at baseline and week 1, except DTI, assessed only at baseline. The study is designed to standardize assessment of biomarkers across multiple sites as well as institute replicable quality control methods, and to use advanced data analytic methods to integrate these markers. A Differential Depression Treatment Response Index (DTRI) will be developed. The data, including biological samples (DNA, RNA, and plasma collected before and during treatment), will become available in a public scientific repository.


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Journal of Psychiatric Research

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February 1, 2022