TY - JOUR
T1 - Antidepressant-Associated Treatment Emergent Mania
T2 - A Meta-Analysis to Guide Risk Modeling Pharmacogenomic Targets of Potential Clinical Value
AU - Nuñez, Nicolas A.
AU - Coombes, Brandon J.
AU - Melhuish Beaupre, Lindsay
AU - Romo-Nava, Francisco
AU - Gardea-Resendez, Manuel
AU - Ozerdem, Aysegul
AU - Veldic, Marin
AU - Singh, Balwinder
AU - Sanchez Ruiz, Jorge A.
AU - Cuellar-Barboza, Alfredo
AU - Leung, Jonathan G.
AU - Prieto, Miguel L.
AU - McElroy, Susan L.
AU - Biernacka, Joanna M.
AU - Frye, Mark A.
N1 - Publisher Copyright:
Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - BACKGROUND: The purpose of this study was to review the association between the SLC6A4 5-HTTLPR polymorphism and antidepressant (AD)-associated treatment emergent mania (TEM) in bipolar disorder alongside starting a discussion on the merits of developing risk stratification models to guide when not to provide AD treatment for bipolar depression. METHODS: Studies that examined the association between clinical and genetic risk factors, specifically monoaminergic transporter genetic variation, and TEM were identified. A meta-analysis was performed using the odds ratio to estimate the effect size under the Der-Simonian and Laird model. RESULTS: Seven studies, referencing the SLC6A4 5-HTTLPR polymorphism and TEM (total N = 1578; TEM+ =594, TEM- = 984), of 142 identified articles were included. The time duration between the start of the AD to emergence of TEM ranged from 4 to 12 weeks. There was a nominally significant association between the s allele of the 5-HTTLPR polymorphism and TEM (odds ratio, 1.434; 95% confidence interval, 1.001-2.055; P = 0.0493; I2 = 52%). No studies have investigated norepinephrine or dopamine transporters. CONCLUSION: Although the serotonin transporter genetic variation is commercially available in pharmacogenomic decision support tools, greater efforts, more broadly, should focus on complete genome-wide approaches to determine genetic variants that may contribute to TEM. Moreover, these data are exemplary to the merits of developing risk stratification models, which include both clinical and biological risk factors, to guide when not to use ADs in bipolar disorder. Future studies will need to validate new risk models that best inform the development of personalized medicine best practices treating bipolar depression.
AB - BACKGROUND: The purpose of this study was to review the association between the SLC6A4 5-HTTLPR polymorphism and antidepressant (AD)-associated treatment emergent mania (TEM) in bipolar disorder alongside starting a discussion on the merits of developing risk stratification models to guide when not to provide AD treatment for bipolar depression. METHODS: Studies that examined the association between clinical and genetic risk factors, specifically monoaminergic transporter genetic variation, and TEM were identified. A meta-analysis was performed using the odds ratio to estimate the effect size under the Der-Simonian and Laird model. RESULTS: Seven studies, referencing the SLC6A4 5-HTTLPR polymorphism and TEM (total N = 1578; TEM+ =594, TEM- = 984), of 142 identified articles were included. The time duration between the start of the AD to emergence of TEM ranged from 4 to 12 weeks. There was a nominally significant association between the s allele of the 5-HTTLPR polymorphism and TEM (odds ratio, 1.434; 95% confidence interval, 1.001-2.055; P = 0.0493; I2 = 52%). No studies have investigated norepinephrine or dopamine transporters. CONCLUSION: Although the serotonin transporter genetic variation is commercially available in pharmacogenomic decision support tools, greater efforts, more broadly, should focus on complete genome-wide approaches to determine genetic variants that may contribute to TEM. Moreover, these data are exemplary to the merits of developing risk stratification models, which include both clinical and biological risk factors, to guide when not to use ADs in bipolar disorder. Future studies will need to validate new risk models that best inform the development of personalized medicine best practices treating bipolar depression.
UR - http://www.scopus.com/inward/record.url?scp=85170343448&partnerID=8YFLogxK
U2 - 10.1097/JCP.0000000000001747
DO - 10.1097/JCP.0000000000001747
M3 - Article
C2 - 37683232
AN - SCOPUS:85170343448
SN - 0271-0749
VL - 43
SP - 428
EP - 433
JO - Journal of Clinical Psychopharmacology
JF - Journal of Clinical Psychopharmacology
IS - 5
ER -