4.7 Review

Diagnostic Biomarkers for Posttraumatic Stress Disorder: Promising Horizons from Translational Neuroscience Research

Journal

BIOLOGICAL PSYCHIATRY
Volume 78, Issue 5, Pages 344-353

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.biopsych.2015.01.005

Keywords

Biomarkers; Inflammation; Neuroendocrinology; Neuroimaging; Psychophysiology; PTSD

Funding

  1. Brain and Behavior Foundation
  2. Department of Defense/Congressionally Directed Medical Research Program [W81XWH-08-2-0170]
  3. Emory University Research Committee
  4. Public Health Service Grant from the Clinical and Translational Science Award program, National Institutes of Health, National Center for Research Resources [UL1 RR025008]
  5. National Institute of Mental Health [MH098212, MH100122]

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Posttraumatic stress disorder (PTSD) is a heterogeneous disorder that affects individuals exposed to trauma (e.g., combat, interpersonal violence, and natural disasters). Although its diagnostic features have been recently reclassified with the emergence of the Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition, the disorder remains characterized by hyperarousal, intrusive reminders of the trauma, avoidance of trauma-related cues, and negative cognition and mood. This heterogeneity indicates the presence of multiple neurobiological mechanisms underlying the etiology and maintenance of PTSD. Translational research spanning the past few decades has revealed several potential avenues for the identification of diagnostic biomarkers for PTSD. These include, but are not limited to, monoaminergic transmitter systems, the hypothalamic-pituitary-adrenal axis, metabolic hormonal pathways, inflammatory mechanisms, psychophysiological reactivity, and neural circuits. The current review provides an update to the literature with regard to the most promising putative PTSD biomarkers, with specific emphasis on the interaction between neurobiological influences on disease risk and symptom progression. Such biomarkers will most likely be identified by multi-dimensional models derived from comprehensive descriptions of molecular, neurobiological, behavioral, and clinical phenotypes.

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