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Article: Accelerated brain aging in patients with major depressive disorder and its neurogenetic basis: Evidence from neurotransmitters and gene expression profiles

TitleAccelerated brain aging in patients with major depressive disorder and its neurogenetic basis: Evidence from neurotransmitters and gene expression profiles
Authors
Keywordsbrain aging
cortical thickness
major depressive disorder
transcriptomics methods
Issue Date5-Mar-2025
PublisherCambridge University Press
Citation
Psychological Medicine, 2025, v. 55, p. e71 How to Cite?
AbstractBackground Numerous studies have explored the relationship between brain aging and major depressive disorder (MDD) and attempted to explain the phenomenon of faster brain aging in patients with MDD from multiple perspectives. However, a major challenge in this field is elucidating the ontological basis of these changes. Here, we aimed to explore the relationship between brain structural changes in MDD-related brain aging and neurotransmitter expression levels and transcriptomics. Methods Imaging data from 670 Japanese participants (MDD: health controls = 233:437) and the support vector regression model were utilized to predict and compare brain age between MDD patients and healthy controls. A map of differences in cortical thickness was generated, furthermore, spatial correlation analysis with neurotransmitters and correlation analysis with gene expression were performed. Results The degree of brain aging was found to be significantly higher in patients with MDD. Moreover, significant cortical thinning was observed in the left ventral area, and premotor eye field in patients with MDD. A significant correlation was observed between MDD-related cortical thinning and neurotransmitter receptors/transporters, including dopaminergic, serotonergic, and glutamatergic systems. Enriched Gene Ontology terms, including protein binding, plasma membrane, and protein processing, contribute to MDD-related cortical thinning. Conclusions The findings of this study provide further evidence that patients with MDD experience more severe brain aging, deepening our understanding of the underlying neural mechanisms and genetic basis of the brain changes involved. Additionally, these findings hold promise for the development of interventions aimed at preventing further deterioration in MDD-related brain aging, thus offering potential therapeutic avenues.
Persistent Identifierhttp://hdl.handle.net/10722/366431
ISSN
2023 Impact Factor: 5.9
2023 SCImago Journal Rankings: 2.768

 

DC FieldValueLanguage
dc.contributor.authorDai, Haowei-
dc.contributor.authorNiu, Lijing-
dc.contributor.authorPeng, Lanxin-
dc.contributor.authorLi, Qian-
dc.contributor.authorZhang, Jiayuan-
dc.contributor.authorChen, Keyin-
dc.contributor.authorWang, Xingqin-
dc.contributor.authorHuang, Ruiwang-
dc.contributor.authorLee, Tatia M.C.-
dc.contributor.authorZhang, Ruibin-
dc.date.accessioned2025-11-25T04:19:22Z-
dc.date.available2025-11-25T04:19:22Z-
dc.date.issued2025-03-05-
dc.identifier.citationPsychological Medicine, 2025, v. 55, p. e71-
dc.identifier.issn0033-2917-
dc.identifier.urihttp://hdl.handle.net/10722/366431-
dc.description.abstractBackground Numerous studies have explored the relationship between brain aging and major depressive disorder (MDD) and attempted to explain the phenomenon of faster brain aging in patients with MDD from multiple perspectives. However, a major challenge in this field is elucidating the ontological basis of these changes. Here, we aimed to explore the relationship between brain structural changes in MDD-related brain aging and neurotransmitter expression levels and transcriptomics. Methods Imaging data from 670 Japanese participants (MDD: health controls = 233:437) and the support vector regression model were utilized to predict and compare brain age between MDD patients and healthy controls. A map of differences in cortical thickness was generated, furthermore, spatial correlation analysis with neurotransmitters and correlation analysis with gene expression were performed. Results The degree of brain aging was found to be significantly higher in patients with MDD. Moreover, significant cortical thinning was observed in the left ventral area, and premotor eye field in patients with MDD. A significant correlation was observed between MDD-related cortical thinning and neurotransmitter receptors/transporters, including dopaminergic, serotonergic, and glutamatergic systems. Enriched Gene Ontology terms, including protein binding, plasma membrane, and protein processing, contribute to MDD-related cortical thinning. Conclusions The findings of this study provide further evidence that patients with MDD experience more severe brain aging, deepening our understanding of the underlying neural mechanisms and genetic basis of the brain changes involved. Additionally, these findings hold promise for the development of interventions aimed at preventing further deterioration in MDD-related brain aging, thus offering potential therapeutic avenues.-
dc.languageeng-
dc.publisherCambridge University Press-
dc.relation.ispartofPsychological Medicine-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectbrain aging-
dc.subjectcortical thickness-
dc.subjectmajor depressive disorder-
dc.subjecttranscriptomics methods-
dc.titleAccelerated brain aging in patients with major depressive disorder and its neurogenetic basis: Evidence from neurotransmitters and gene expression profiles-
dc.typeArticle-
dc.identifier.doi10.1017/S0033291725000418-
dc.identifier.pmid40041978-
dc.identifier.scopuseid_2-s2.0-86000665765-
dc.identifier.volume55-
dc.identifier.spagee71-
dc.identifier.eissn1469-8978-
dc.identifier.issnl0033-2917-

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