Biomarker-based treatment selection: A precision medicine approach for depression

Jennifer L. Furman, Madhukar H. Trivedi

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Among treatment-seeking patients with depression, approximately two thirds of individuals do not remit following first-line therapeutic treatment, likely because of the inherent heterogeneity of major depressive disorder. Identification of clinical or biological features that predict how a patient will respond to treatment could enhance the remission/response rate and reduce unwanted side effects. While many studies have reported on predictors of treatment response, relatively few have focused on moderators or mediators of treatment response-i.e., characteristics that have predictive value regarding how a patient will respond differentially to specific medications. Biological markers of depression-such as genetics, neurophysiology, blood-based markers, and brain activity-enable objective measurement or characterization and may represent ideal biomarkers for predicting differential treatment response. In this chapter, we discuss ongoing and recently completed clinical trials that focus on progressing precision medicine in depression.

Original languageEnglish (US)
Title of host publicationNeurobiology of Depression
Subtitle of host publicationRoad to Novel Therapeutics
PublisherElsevier
Pages331-340
Number of pages10
ISBN (Electronic)9780128133330
ISBN (Print)9780128133347
DOIs
StatePublished - Jan 1 2019

Keywords

  • Biosignature
  • Depression
  • EMBARC
  • GENDEP
  • MARS
  • Moderator
  • PReDICT
  • Personalized medicine
  • Predictor
  • iSPOT-D

ASJC Scopus subject areas

  • Medicine(all)
  • Neuroscience(all)

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    Furman, J. L., & Trivedi, M. H. (2019). Biomarker-based treatment selection: A precision medicine approach for depression. In Neurobiology of Depression: Road to Novel Therapeutics (pp. 331-340). Elsevier. https://doi.org/10.1016/B978-0-12-813333-0.00029-9