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Association between the BDNF Val66Met polymorphism and major depressive disorder: a systematic review and meta-analysis

STUDY OBJECTIVES: This meta-analysis analytically reviewed recent studies concerning the potential associations between the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism and susceptibility to major depressive disorder (MDD), with subgroup analyses for race and age. METHODS: Relevant...

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Autores principales: Wang, Yuxia, Li, Ou, Li, Nana, Sha, Zhongwei, Zhao, Zhenghao, Xu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321516/
https://www.ncbi.nlm.nih.gov/pubmed/37415688
http://dx.doi.org/10.3389/fpsyt.2023.1143833
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author Wang, Yuxia
Li, Ou
Li, Nana
Sha, Zhongwei
Zhao, Zhenghao
Xu, Jian
author_facet Wang, Yuxia
Li, Ou
Li, Nana
Sha, Zhongwei
Zhao, Zhenghao
Xu, Jian
author_sort Wang, Yuxia
collection PubMed
description STUDY OBJECTIVES: This meta-analysis analytically reviewed recent studies concerning the potential associations between the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism and susceptibility to major depressive disorder (MDD), with subgroup analyses for race and age. METHODS: Relevant case-control studies were systematically searched for in PubMed, Embase, the Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and Sinomed databases. A total of 24 studies were finally identified to have reported outcomes including alleles, dominant genes, recessive genes, homozygosity, and heterozygosity. Subgroup meta-analyses were performed based on participant age and ethnicity. Publication bias was represented by funnel plots. All meta-analyses of the randomized controlled trials included for evaluation were performed using RevMan5.3 software. RESULTS: The findings revealed no significant association between BDNF Val66Met polymorphism and MDD. However, the Met allele was found to be associated with genetic susceptibility to MDD among white populations on subgroup analysis (OR = 1.25, 95% CI: 1.05–1.48, P = 0.01). In the genetic model, dominant (OR = 1.40, 95% CI: 1.18–1.66, P = 0.0001), recessive (OR = 1.70, 95% CI: 1.05–2.78, P = 0.03), and homozygous (OR = 1.77, 95% CI: 1.08–2.88, P = 0.02) genes were all associated with MDD. CONCLUSIONS: Despite the outcome limitations, this meta-analysis confirmed that the BDNF Val66Met polymorphism is a susceptibility factor for MDD in white populations.
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spelling pubmed-103215162023-07-06 Association between the BDNF Val66Met polymorphism and major depressive disorder: a systematic review and meta-analysis Wang, Yuxia Li, Ou Li, Nana Sha, Zhongwei Zhao, Zhenghao Xu, Jian Front Psychiatry Psychiatry STUDY OBJECTIVES: This meta-analysis analytically reviewed recent studies concerning the potential associations between the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism and susceptibility to major depressive disorder (MDD), with subgroup analyses for race and age. METHODS: Relevant case-control studies were systematically searched for in PubMed, Embase, the Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and Sinomed databases. A total of 24 studies were finally identified to have reported outcomes including alleles, dominant genes, recessive genes, homozygosity, and heterozygosity. Subgroup meta-analyses were performed based on participant age and ethnicity. Publication bias was represented by funnel plots. All meta-analyses of the randomized controlled trials included for evaluation were performed using RevMan5.3 software. RESULTS: The findings revealed no significant association between BDNF Val66Met polymorphism and MDD. However, the Met allele was found to be associated with genetic susceptibility to MDD among white populations on subgroup analysis (OR = 1.25, 95% CI: 1.05–1.48, P = 0.01). In the genetic model, dominant (OR = 1.40, 95% CI: 1.18–1.66, P = 0.0001), recessive (OR = 1.70, 95% CI: 1.05–2.78, P = 0.03), and homozygous (OR = 1.77, 95% CI: 1.08–2.88, P = 0.02) genes were all associated with MDD. CONCLUSIONS: Despite the outcome limitations, this meta-analysis confirmed that the BDNF Val66Met polymorphism is a susceptibility factor for MDD in white populations. Frontiers Media S.A. 2023-06-21 /pmc/articles/PMC10321516/ /pubmed/37415688 http://dx.doi.org/10.3389/fpsyt.2023.1143833 Text en Copyright © 2023 Wang, Li, Li, Sha, Zhao and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Wang, Yuxia
Li, Ou
Li, Nana
Sha, Zhongwei
Zhao, Zhenghao
Xu, Jian
Association between the BDNF Val66Met polymorphism and major depressive disorder: a systematic review and meta-analysis
title Association between the BDNF Val66Met polymorphism and major depressive disorder: a systematic review and meta-analysis
title_full Association between the BDNF Val66Met polymorphism and major depressive disorder: a systematic review and meta-analysis
title_fullStr Association between the BDNF Val66Met polymorphism and major depressive disorder: a systematic review and meta-analysis
title_full_unstemmed Association between the BDNF Val66Met polymorphism and major depressive disorder: a systematic review and meta-analysis
title_short Association between the BDNF Val66Met polymorphism and major depressive disorder: a systematic review and meta-analysis
title_sort association between the bdnf val66met polymorphism and major depressive disorder: a systematic review and meta-analysis
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321516/
https://www.ncbi.nlm.nih.gov/pubmed/37415688
http://dx.doi.org/10.3389/fpsyt.2023.1143833
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