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Association between mitochondrial DNA levels and depression: a systematic review and meta-analysis

BACKGROUND: Mitochondrial dysfunction leading to disturbances in energy metabolism has emerged as one of the risk factors in the pathogenesis of depression. Numerous studies have identified alterations in the content of mitochondrial DNA (mtDNA) in peripheral blood and cerebrospinal fluid of individ...

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Autores principales: Li, Wenhui, Zhu, Lingqun, Chen, Yi, Zhuo, Yudi, Wan, Shurun, Guo, Rongjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664364/
https://www.ncbi.nlm.nih.gov/pubmed/37993802
http://dx.doi.org/10.1186/s12888-023-05358-8
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author Li, Wenhui
Zhu, Lingqun
Chen, Yi
Zhuo, Yudi
Wan, Shurun
Guo, Rongjuan
author_facet Li, Wenhui
Zhu, Lingqun
Chen, Yi
Zhuo, Yudi
Wan, Shurun
Guo, Rongjuan
author_sort Li, Wenhui
collection PubMed
description BACKGROUND: Mitochondrial dysfunction leading to disturbances in energy metabolism has emerged as one of the risk factors in the pathogenesis of depression. Numerous studies have identified alterations in the content of mitochondrial DNA (mtDNA) in peripheral blood and cerebrospinal fluid of individuals with depression. Researchers have sought to establish a clear association between mtDNA and depression. Consequently, we conducted a comprehensive meta-analysis to assess the existing evidence regarding the impact of mtDNA on depression. METHODS: This study conducted a thorough search of the following databases up to March 13, 2023: PubMed, Embase, the Cochrane Library, the Web of Science, Wanfang Database, SINOMED, the China Science and Technology Journal Database, and China National Knowledge Infrastructure. The meta-analysis was carried out using RevMan (version 5.4) and Stata (version 16.0) software. In addition, publication bias was assessed with funnel plots, Begg’s test and Egger’s test. RESULTS: Our analysis included data from 10 articles, including 12 studies for further examination. A total of 1400 participants were included in this study, comprising 709 (including 300 males and 409 females) patients with depression and 691 (including 303 males and 388 females) healthy controls. The average age of depressed patients was (42.98 ± 2.55) years, and the average age of healthy people was (41.71 ± 2.6) years. The scales used to assess outcomes are Hamilton-rating scale for Depression(4 articles), Montgomery-Asberg Depression Rating Scale(3 articles), and Mini-Internatioal Neuropsychiatric Interview (1 articles). The meta-analysis revealed significantly higher levels of mtDNA in circulating blood samples and skin fibroblasts of individuals with depression in comparison to healthy controls [standardized mean difference(SMD) = 0.42, 95% confidence intervals(CI): 0.16, 0.67]. CONCLUSIONS: Our study concludes that there is a significant (p < 0.05) increase in mtDNA levels in serum, plasma, and cerebrospinal fluid in individuals with depression. These findings suggest that mtDNA could serve as a potential biomarker for diagnosing depression. REGISTRATION NUMBER: PROSPERO CRD42023414285. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-023-05358-8.
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spelling pubmed-106643642023-11-22 Association between mitochondrial DNA levels and depression: a systematic review and meta-analysis Li, Wenhui Zhu, Lingqun Chen, Yi Zhuo, Yudi Wan, Shurun Guo, Rongjuan BMC Psychiatry Research BACKGROUND: Mitochondrial dysfunction leading to disturbances in energy metabolism has emerged as one of the risk factors in the pathogenesis of depression. Numerous studies have identified alterations in the content of mitochondrial DNA (mtDNA) in peripheral blood and cerebrospinal fluid of individuals with depression. Researchers have sought to establish a clear association between mtDNA and depression. Consequently, we conducted a comprehensive meta-analysis to assess the existing evidence regarding the impact of mtDNA on depression. METHODS: This study conducted a thorough search of the following databases up to March 13, 2023: PubMed, Embase, the Cochrane Library, the Web of Science, Wanfang Database, SINOMED, the China Science and Technology Journal Database, and China National Knowledge Infrastructure. The meta-analysis was carried out using RevMan (version 5.4) and Stata (version 16.0) software. In addition, publication bias was assessed with funnel plots, Begg’s test and Egger’s test. RESULTS: Our analysis included data from 10 articles, including 12 studies for further examination. A total of 1400 participants were included in this study, comprising 709 (including 300 males and 409 females) patients with depression and 691 (including 303 males and 388 females) healthy controls. The average age of depressed patients was (42.98 ± 2.55) years, and the average age of healthy people was (41.71 ± 2.6) years. The scales used to assess outcomes are Hamilton-rating scale for Depression(4 articles), Montgomery-Asberg Depression Rating Scale(3 articles), and Mini-Internatioal Neuropsychiatric Interview (1 articles). The meta-analysis revealed significantly higher levels of mtDNA in circulating blood samples and skin fibroblasts of individuals with depression in comparison to healthy controls [standardized mean difference(SMD) = 0.42, 95% confidence intervals(CI): 0.16, 0.67]. CONCLUSIONS: Our study concludes that there is a significant (p < 0.05) increase in mtDNA levels in serum, plasma, and cerebrospinal fluid in individuals with depression. These findings suggest that mtDNA could serve as a potential biomarker for diagnosing depression. REGISTRATION NUMBER: PROSPERO CRD42023414285. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-023-05358-8. BioMed Central 2023-11-22 /pmc/articles/PMC10664364/ /pubmed/37993802 http://dx.doi.org/10.1186/s12888-023-05358-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Wenhui
Zhu, Lingqun
Chen, Yi
Zhuo, Yudi
Wan, Shurun
Guo, Rongjuan
Association between mitochondrial DNA levels and depression: a systematic review and meta-analysis
title Association between mitochondrial DNA levels and depression: a systematic review and meta-analysis
title_full Association between mitochondrial DNA levels and depression: a systematic review and meta-analysis
title_fullStr Association between mitochondrial DNA levels and depression: a systematic review and meta-analysis
title_full_unstemmed Association between mitochondrial DNA levels and depression: a systematic review and meta-analysis
title_short Association between mitochondrial DNA levels and depression: a systematic review and meta-analysis
title_sort association between mitochondrial dna levels and depression: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664364/
https://www.ncbi.nlm.nih.gov/pubmed/37993802
http://dx.doi.org/10.1186/s12888-023-05358-8
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