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Leveraging genetics to enhance the efficacy of PTSD pharmacotherapies
- Source :
- Neuroscience Letters. 726:133562
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Progress in PTSD pharmacotherapy has lagged far behind that of other major mental illnesses. Unfortunately, due to the enormous costs and lengthy process involved in bringing drugs to market, delivering new treatments to patients with PTSD in the near future will remain a challenge. However, by capitalizing on recent advances in the pharmacogenetics of antidepressants, precision psychiatry approaches can be leveraged to optimize the delivery of currently-available medications in a fraction of the time and cost required to develop novel therapeutics. This paper provides a review of the pharmacogenetics of the four serotonin reuptake inhibitors (SRIs) that are currently endorsed for the treatment of PTSD (paroxetine, sertraline, fluoxetine and venlafaxine). It focuses on genes involved in SRI pharmacokinetics (including the liver enzyme genes CYP2D6 and CYP2C19 and blood-brain barrier-relevant gene ABCB1) as well as those implicated in both SRI pharmacodynamics and the pathophysiology of PTSD and related conditions (e.g., BDNF, FKBP5, HTR1A, HTR2A, TPH2). The review concludes with an overview of emerging commercial platforms for pharmacogenetic-guided prescription and a discussion of challenges and directions for future pharmacogenetic research on PTSD.
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Serotonin reuptake inhibitor
Venlafaxine
Stress Disorders, Post-Traumatic
03 medical and health sciences
0302 clinical medicine
Pharmacotherapy
medicine
Animals
Humans
Psychiatry
Fluoxetine
Sertraline
business.industry
General Neuroscience
Paroxetine
Antidepressive Agents
Treatment Outcome
030104 developmental biology
Pharmacogenetics
Antidepressant
business
Selective Serotonin Reuptake Inhibitors
030217 neurology & neurosurgery
medicine.drug
Subjects
Details
- ISSN :
- 03043940
- Volume :
- 726
- Database :
- OpenAIRE
- Journal :
- Neuroscience Letters
- Accession number :
- edsair.doi.dedup.....df07643ad52fe71481cbd87783a28bbf