Pharmacogenomics of ketamine: A systematic review
This review (2021) explores the pharmacogenomic predictors of ketamine's clinical benefits and adverse effects. The review identified three predictors; 1) brain derived neurotrophic growth factor (BDNF) was associated with reduced antidepressant and anti-suicidal effects, 2) CYB2B6 was associated with more severe dissociative effects and 3) NET was associated with greater cardiovascular complications. Limitations include small sample sizes and heterogeneity of study design.
Authors
- Roger McIntyre
- Jonathan Rosenblat
- Shokouh Meshkat
Published
Abstract
Ketamine is a dissociative anesthetic used worldwide for anesthesia, pain management, treatment resistant depression (TRD) and suicidality. Predictors of antidepressant response and adverse effects to ketamine remain poorly understood due to contradictory results. The objective of the systematic review herein is to identify and evaluate the extant literature assessing pharmacogenomic predictors of ketamine clinical benefits and adverse effects. Electronic databases were searched from inception to July 2021 to identify relevant articles. Twelve articles involving 1,219 participants with TRD, 75 who underwent elective surgeries and received ketamine as an anesthetic, 49 with pain, and 68 healthy participants met the inclusion criteria and enrolled to this review. While identified articles reported mixed results, three predictors emerged: 1) Val66Met (rs6265) brain derived neurotrophic factor (BDNF; Met allele) was associated with reduced antidepressant and anti-suicidal effects, 2) CYP2B6*6 (e.g., CYB2B6 metabolizer) was associated with more severe dissociative effects and 3) NET allelic (rs28386840) variant were associated with greater cardiovascular complications (e.g., moderate to severe treatment emergent hypertension). Several important limitations were identified, most notably the small sample sizes and heterogeneity of study design and results. Taken together, preliminary evidence suggests the potential for pharmacogenomic testing to inform clinical practices; however, further research is needed to better determine genetic variants of greatest importance and the clinical validity of pharmacogenomics to help guide ketamine treatment planning.
Research Summary of 'Pharmacogenomics of ketamine: A systematic review'
Introduction
Ketamine is a stereoselective NMDA receptor antagonist long used as a dissociative anaesthetic and more recently investigated for pain management and treatment‑resistant depression (TRD). Randomised clinical trials and meta‑analyses have shown rapid antidepressant and anti‑suicidal effects, but interindividual variability in therapeutic response and treatment‑emergent adverse events remains poorly understood. Because ketamine administration is resource intensive, identifying predictors of response or risk prior to treatment could improve patient selection, dosing and cost‑effectiveness. Pharmacogenomics is a promising avenue to personalise drug selection and dosing by linking genetic variation to pharmacokinetics and pharmacodynamics, but available evidence for ketamine has been inconsistent and limited in size and scope. Meshkat and colleagues set out to systematically identify and synthesise published studies that evaluated genetic predictors of ketamine (and esketamine) efficacy and adverse effects. The primary aim was to catalogue candidate genes and allelic variants implicated in ketamine response or side effects, assess the strength and consistency of reported associations, and highlight gaps requiring further research to determine clinical validity of pharmacogenomic testing for ketamine treatment planning.
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Study Details
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- APA Citation
Meshkat, S., Rodrigues, N. B., Di Vincenzo, J. D., Ceban, F., Jaberi, S., McIntyre, R. S., Lui, L. M., & Rosenblat, J. D. (2022). Pharmacogenomics of ketamine: A systematic review. Journal of Psychiatric Research, 145, 27-34. https://doi.org/10.1016/j.jpsychires.2021.11.036
References (4)
Papers cited by this study that are also in Blossom
Bahji, A., Vazquez, G. H., Zarate, C. A. · Journal of Affective Disorders (2021)
Mcintyre, R. S., Rosenblat, J. D., Nemeroff, C. B. et al. · American Journal of Psychiatry (2021)
Rong, C., Park, C., Rosenblat, J. D. et al. · International Journal of Environmental Research and Public Health (2018)
Su, T. P., Chen, M. H., Li, C. T. et al. · Neuropsychopharmacology (2017)
Cited By (4)
Papers in Blossom that reference this study
O'Brien, B., Lee, J., Kim, S. et al. · Psychiatry Research (2024)
Meshkat, S., Cao, B., Teopiz, K. M. et al. · Journal of Affective Disorders (2023)
Meshkat, S., Haikazian, S., Di Vincenzo, J. D. et al. · Biological Psychiatry (2023)
Meshkat, S., Rosenblat, J. D., Rhee, T. G. et al. · Psychiatry Research (2022)
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