The dysbiosis of gut microbiota in major depressive disorder and comorbidity with overweight/obesity: unraveling biomarkers and metabolic pathways from a microbial perspective

重度抑郁症及合并超重/肥胖患者的肠道菌群失调:从微生物学的角度揭示生物标志物和代谢通路

阅读:1

Abstract

BACKGROUND: Major depressive disorder (MDD), a leading global public health concern, exhibits high comorbidity with overweight/obesity. While emerging evidence implicates shared gut microbial dysregulation in both conditions, the identification of specific microbial biomarkers and their interaction with metabolic pathways in comorbid MDD-obesity remains poorly characterized. Our study investigated gut microbiota signatures in patients with MDD, and evaluated their modulation by overweight/obesity comorbidity. METHOD: A total of 53 patients with MDD and 92 healthy controls (HCs) underwent 16 S rRNA gene sequencing. The KEGG function analysis was performed with potential differential microbiota. Correlation analysis related to bacterial taxa, biochemical parameters, and clinical indexes was aimed to indicate the specific metabolic dysregulation and gut microbiota imbalance in MDD, and whether these biomarkers were affected by the comorbidity of overweight/obesity. RESULTS: Sixty-three bacterial genera showed differential abundance between MDD and HCs. Notably, Succinivibrio, Megamonas, and Bifidobacterium demonstrate significant distinctions between overweight-MDD and normal weight-MDD. The significantly altered metabolic pathways between MDD and HC primarily involve the biosynthesis and metabolism of long-chain unsaturated fatty acids. Within the MDD group, BMI demonstrated pairwise negative correlations with Bifidobacterium and total bilirubin (TBIL), while positively associating with Fusobacterium and alanine transaminase (ALT). CONCLUSION: This study provides novel insights into the interplay between gut microbiota dysbiosis and metabolic perturbations in MDD. Despite intriguing associations between BMI and specific microbial taxa within the MDD group, the preliminary nature of these associations necessitates validation through larger cohorts, multi-omics approaches, and longitudinal designs.

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。