Understanding the gut-kidney axis among biopsy-proven diabetic nephropathy, type 2 diabetes mellitus and healthy controls: an analysis of the gut microbiota composition

被引:157
作者
Tao, Sibei [1 ,2 ]
Li, Lingzhi [1 ,2 ]
Li, Ling [1 ,2 ]
Liu, Yuan [3 ]
Ren, Qian [1 ,2 ]
Shi, Min [1 ,2 ]
Liu, Jing [1 ,2 ]
Jiang, Jing [1 ,2 ]
Ma, Huichao [1 ,2 ]
Huang, Zhuo [1 ,2 ]
Xia, Zijing [1 ,2 ]
Pan, Jing [1 ,2 ]
Wei, Tiantian [1 ,2 ]
Wang, Yan [1 ,2 ]
Li, Peiyun [1 ,2 ]
Lan, Tian [1 ,2 ]
Tang, Xi [1 ,2 ]
Zeng, Xiaoxi [4 ]
Lei, Song [5 ]
Tang, Huairong [3 ]
Ma, Liang [1 ,2 ]
Fu, Ping [1 ,2 ,6 ]
机构
[1] Sichuan Univ, Kidney Res Lab, Div Nephrol, West China Hosp, Chengdu 610041, Sichuan, Peoples R China
[2] Sichuan Univ, Natl Clin Res Ctr Geriatr, Chengdu 610041, Sichuan, Peoples R China
[3] Sichuan Univ, Chinese Hlth Serv Management Dept, West China Hosp, Chengdu 610041, Sichuan, Peoples R China
[4] Sichuan Univ, West China Biomed Big Data Ctr, Chengdu 610041, Sichuan, Peoples R China
[5] Sichuan Univ, West China Hosp, Dept Pathol, Chengdu 610041, Sichuan, Peoples R China
[6] Chinese Peoples Liberat Army Gen Hosp, Beijing Key Lab Kidney Dis, Natl Clin Res Ctr Kidney Dis,Dept Nephrol, Chinese PLA Inst Nephrol,State Key Lab Kidney Dis, Beijing 10000, Peoples R China
基金
中国国家自然科学基金;
关键词
Gut-kidney axis; Gut microbiota; Diabetic nephropathy; Type 2 diabetes mellitus; INTESTINAL MICROBIOTA; DISEASE; RISK; INFLAMMATION; ASSOCIATION; PREVALENCE; METAGENOME; TRENDS; LIVER; ACIDS;
D O I
10.1007/s00592-019-01316-7
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
AimsType 2 diabetes mellitus (T2DM) has a rising prevalence and gut microbiota involvement is increasingly recognized. Diabetic nephropathy (DN) is a major complication of T2DM. The aim of the study was to understand the gut-kidney axis by an analysis of gut microbiota composition among biopsy-proven DN, T2DM without kidney disease, and healthy control.MethodsFecal samples were collected from 14 DNs, 14 age/gender-matched T2DMs without renal diseases (DM), 14 age and gender-matched healthy controls (HC) and household contacts (HH) of DM group. The microbiota composition was analyzed by 16sRNA microbial profiling approach.ResultsSubstantial differences were found in the richness of gut microbiota and the variation of bacteria population in DM compared to HC, and DN compared to DM, respectively. DM could be accurately distinguished from age/gender-matched healthy controls by the variable of genus g_Prevotella_9 (AUC=0.9), and DN patients could be accurately distinguished from age/gender-matched DM by the variables of two genera (g_Escherichia-Shigella and g_Prevotella_9, AUC=0.86). The microbiota composition of HH group was close to that of HC group, and was different from DM group. Under the same diet, DM could be more accurately detected by the same genus (g_Prevotella_9, AUC=0.92).ConclusionGut microbiota composition was explored to be related to the occurrence of biopsy-proven DN from DM. DM could be distinguished from HC by detecting g_Prevotella_9 level in feces, while DN was different from DM by the variables of g_Escherichia-Shigella and g_Prevotella_9, which potentially contributed to the physiopathological diagnosis of DN from DM.
引用
收藏
页码:581 / 592
页数:12
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