Analysis of intestinal microbiota in patients with major depressive disorder based on high-throughput sequencing
WANG Yaping1，*，PAN Miaomiao2，*，XIA Xinyuan2，XIAO Zhenming2，YANG Hao2，WU Zhiguo3，ZHAO Chao2，4
1. Department of Psychology, Nanxiang Hospital, Jiading District, Shanghai 201800, China; 2. MOE/NHC/CAMS Key Lab of Medical Molecular Virology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China; 3. Shanghai Yangpu District Mental Health Center, Clinical Research Center in Mental Health, Shanghai University of Medicine & Health Sciences, Shanghai 200433, China; 4. National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
Abstract：In this study, feces from 19 cases of major depressive disorder (MDD) and 20 healthy individuals were collected for 16S rRNA high-throughput sequencing, in order to investigate the gut microbiota profile of depression and whether gut microbiota can be a predictor of depression. Participants’ assessment scores for patient health questionnaire (PHQ-9) and generalized anxiety disorder (GAD-7) were analyzed in relation to the different microbiota between the two groups. No significant difference in alpha diversity was found in depressed compared to healthy individuals. Differential species analysis revealed a significant enrichment of six signature microorganisms in the depression group, including Finegoldia, Lactiaseibacillus, Enterobacterales, Enterobacteriaceae, Fusicatenilbacter, and Clostridia. Significant enrichment of Coprococcus in the healthy group was significantly and negatively correlated with levels of depression and anxiety. The structure and composition of the gut flora of patients with depression were resolved based on high-throughput sequencing of gut microbial 16SrRNA, which provided potential microbial markers for the alleviation of clinical symptoms of depression.
王雅萍1，*，潘苗苗2，*，夏欣媛2，肖振明2，杨浩2，吴志国3，赵超2，4. 基于高通量测序的抑郁症患者肠道菌群结构分析[J]. 微生物与感染, 2023, 18(3): 151-156.
WANG Yaping1，*，PAN Miaomiao2，*，XIA Xinyuan2，XIAO Zhenming2，YANG Hao2，WU Zhiguo3，ZHAO Chao2，4. Analysis of intestinal microbiota in patients with major depressive disorder based on high-throughput sequencing. JOURNAL OF MICROBES AND INFECTIONS, 2023, 18(3): 151-156.
2023, Vol. 18 
