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On the Road to Translation for PTSD Treatment: Theoretical and Practical Considerations of the Use of Human Models of Conditioned Fear for Drug Development.

Abstract
The use of quantitative, laboratory-based measures of threat in humans for proof-of-concept studies and target development for novel drug discovery has grown tremendously in the last 2 decades. In particular, in the field of posttraumatic stress disorder (PTSD), human models of fear conditioning have been critical in shaping our theoretical understanding of fear processes and importantly, validating findings from animal models of the neural substrates and signaling pathways required for these complex processes. Here, we will review the use of laboratory-based measures of fear processes in humans including cued and contextual conditioning, generalization, extinction, reconsolidation, and reinstatement to develop novel drug treatments for PTSD. We will primarily focus on recent advances in using behavioral and physiological measures of fear, discussing their sensitivity as biobehavioral markers of PTSD symptoms, their response to known and novel PTSD treatments, and in the case of d-cycloserine, how well these findings have translated to outcomes in clinical trials. We will highlight some gaps in the literature and needs for future research, discuss benefits and limitations of these outcome measures in designing proof-of-concept trials, and offer practical guidelines on design and interpretation when using these fear models for drug discovery.
AuthorsVictoria B Risbrough, Daniel E Glenn, Dewleen G Baker
JournalCurrent topics in behavioral neurosciences (Curr Top Behav Neurosci) 2016 Vol. 28 Pg. 173-96 ISSN: 1866-3370 [Print] Germany
PMID27311760 (Publication Type: Journal Article, Review)
Topics
  • Conditioning, Psychological (drug effects)
  • Drug Discovery
  • Emotions (drug effects)
  • Extinction, Psychological (drug effects)
  • Fear (drug effects)
  • Humans
  • Stress Disorders, Post-Traumatic (drug therapy)
  • Translational Research, Biomedical

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