Literature DB >> 32421611

Pharmacogenetic association of bi- and triallelic polymorphisms of SLC6A4 with antidepressant response in major depressive disorder.

Feifei Ren1, Yufeng Ma2, Xiaochen Zhu1, Rongjuan Guo1, Jialin Wang1, Lijuan He3.   

Abstract

BACKGROUND: Antidepressants (ADs) are the main clinical therapy for depression, but approximately half of users do not get adequate response. The biallelic (5-HTTLPR) and triallelic (5-HTTLPR/rs25531) polymorphisms in SLC6A4 have been frequently investigated, but their associations with ADs response are in controversy. Here, we performed a meta-analysis to assess their modulation effect to ADs response in major depressive disorder (MDD).
METHODS: We performed literature search in PubMed, Web of Science and EMBASE before June 2019. Pooled analysis of genetic associations with response and remission, meta-regression and sensitivity analysis were performed, and publication bias was assessed.
RESULTS: Literature search yielded 49 eligible studies with 46 and 10 studies for biallelic and triallelic polymorphism, respectively. L allele of 5-HTTLPR was associated with both of response and remission rates. In the Caucasians using SSRIs only, carriers of LL/LS or LL genotype were more likely to be responders compared to SS carriers (LL/LS vs. SS: OR=1.55, 95%CI 1.20-2.00, p=0.001; LL vs. SS: OR=1.97, 95%CI 1.45-2.67, p<0.001). Similar associations were also found with remission rate. However, no effects on response or remission were found in the Asians or mixed/other antidepressant subgroups. Additionally, the 5-HTTLPR/rs25531 triallelic polymorphism may not associate with ADs response. Meta-regression showed that percent of female in participants, year of publication and treatment duration modulated the association in Caucasians.
CONCLUSION: 5-HTTLPR, instead of 5-HTTLPR/rs25531 triallelic polymorphism, may exert as a marker for the prediction of response to SSRIs in Caucasians with MDD.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  5-HTTLPR; Antidepressants; Major depressive disorder; Rs25531; SSRIs

Mesh:

Substances:

Year:  2020        PMID: 32421611     DOI: 10.1016/j.jad.2020.04.058

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  4 in total

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Authors:  Victoria S Marshe; Malgorzata Maciukiewicz; Anne-Christin Hauschild; Farhana Islam; Li Qin; Arun K Tiwari; Etienne Sibille; Daniel M Blumberger; Jordan F Karp; Alastair J Flint; Gustavo Turecki; Raymond W Lam; Roumen V Milev; Benicio N Frey; Susan Rotzinger; Jane A Foster; Sidney H Kennedy; James L Kennedy; Benoit H Mulsant; Charles F Reynolds; Eric J Lenze; Daniel J Müller
Journal:  Transl Psychiatry       Date:  2021-02-15       Impact factor: 6.222

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Authors:  Céline K Stäuble; Rebecca Meier; Markus L Lampert; Thorsten Mikoteit; Martin Hatzinger; Samuel S Allemann; Kurt E Hersberger; Henriette E Meyer Zu Schwabedissen
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Review 3.  Serotonin Transporter Genetic Variation and Antidepressant Response and Tolerability: A Systematic Review and Meta-Analysis.

Authors:  Kiera Stein; Abdullah Al Maruf; Daniel J Müller; Jeffrey R Bishop; Chad A Bousman
Journal:  J Pers Med       Date:  2021-12-09

4.  Differential Potency of Venlafaxine, Paroxetine, and Atomoxetine to Inhibit Serotonin and Norepinephrine Reuptake in Patients With Major Depressive Disorder.

Authors:  Fahad Aldosary; Sandhaya Norris; Philippe Tremblay; Jonathan S James; James C Ritchie; Pierre Blier
Journal:  Int J Neuropsychopharmacol       Date:  2022-04-19       Impact factor: 5.176

  4 in total

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