微生物与感染
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微生物与感染  2023, Vol. 18 Issue (3): 151-156    DOI: 10.3969/j.issn.1673-6184.2023.03.004
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基于高通量测序的抑郁症患者肠道菌群结构分析
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
1. 上海市嘉定区南翔医院 心理医学科,上海 201800;  2. 复旦大学基础医学院教育部医学分子病毒学重点实验室, 上海 200032;  3. 上海市杨浦区精神卫生中心科教科,上海健康医学院精神卫生临床研究中心,上海 200433;  4. 国家老年疾病临床医学研究中心(复旦大学附属华山医院),上海 200040
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
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摘要: 为了调查抑郁症患者的肠道微生物特征并验证肠道微生物是否可以成为抑郁症干预的新靶点,本研究共收集19例抑郁症患者和20例健康人的粪便样本进行16S rRNA高通量测序,并采用抑郁症自我评估量表(PHQ-9)、广泛性焦虑障碍量表(GAD-7)对参与者进行评估。基线微生物群分析显示,与健康人相比,抑郁症患者肠道菌群的Alpha多样性无群落级差异。差异物种分析表明,在抑郁症组中存在大芬戈尔德菌(Finegoldia)、干酪乳杆菌(Lactiaseibacillus)、肠杆菌目(Enterobacterales)、肠杆菌科(Enterobacteriaceae)、纺锤链杆菌属(Fusicatenilbacter)、梭状芽孢杆菌(Clostridia) 6种标志性微生物。相关性分析表明,健康组中显著富集的粪球菌属(Coprococcus)与抑郁焦虑水平呈明显负相关。本研究基于肠道微生物16SrRNA的高通量测序来解析抑郁症患者的肠道菌群结构和组成,并为缓解抑郁症的临床症状提供了潜在的微生物干预靶点。
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作者相关文章
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
关键词 抑郁症16S rRNA肠道菌群相关分析    
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.
Key wordsDepression    16S rRNA    gut microbiota    Correlation analysis
ZTFEL:  R378  
  R749  
基金资助:上海市嘉定区卫生健康委员会面上课题(2020-KY-09); 上海市杨浦区医学重点学科(22YPZB10);国家重点研发计划(2018YFC2000500)
通讯作者: 赵超   
引用本文:   
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.
链接本文:  
http://jmi.fudan.edu.cn/CN/10.3969/j.issn.1673-6184.2023.03.004     或     http://jmi.fudan.edu.cn/CN/Y2023/V18/I3/151

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