Shared neuroimaging and molecular profiles in type 2 diabetes mellitus and major depressive disorder: an integrative analysis of genetic, transcriptomic, and neuroimaging data

2型糖尿病和重度抑郁症的共同神经影像学和分子特征:遗传学、转录组学和神经影像学数据的整合分析

阅读:1

Abstract

Type 2 diabetes mellitus (T2DM) and major depressive disorder (MDD) are prevalent chronic conditions that frequently co-occur, suggesting potential shared mechanisms. Neuroimaging meta-analyses were conducted to identify gray matter volume (GMV) alterations in T2DM and MDD, with further identification of the overlapping regions between the two diseases. Large-scale genome-wide association study (GWAS) summary statistics were utilized, and conjunctional false discovery rate (conjFDR) analysis was applied to identify shared genes. Transcriptome-neuroimaging association and expression-trait association analyses were performed to identify and prioritize shared genes contributing to these structural brain changes. Knockout mouse models were employed to investigate the functional roles of the prioritized genes. Neuroimaging meta-analysis revealed significant GMV reductions in T2DM and MDD patients compared to controls, with overlapping decreases, such as the bilateral median cingulate gyri, right insula and superior temporal gyrus. ConjFDR analysis identified 664 genes shared between T2DM and MDD, with nine prioritized genes linked to GMV alterations. Knockout models of these genes revealed neural and metabolic abnormalities, highlighting their potential roles in shared neurobiological and metabolic pathways underlying both disorders. This integrative analysis identifies shared neuroimaging and molecular mechanisms between T2DM and MDD, offering novel insights into their comorbidity and underlying biological pathways.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。