Kidney Research Laboratory, Division of Nephrology and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, 610041, China.
Chinese Health Service Management Department, West China Hospital of Sichuan University, Chengdu, 610041, China.
Acta Diabetol. 2019 May;56(5):581-592. doi: 10.1007/s00592-019-01316-7. Epub 2019 Mar 19.
Type 2 diabetes mellitus (TDM) has a rising prevalence and gut microbiota involvement is increasingly recognized. Diabetic nephropathy (DN) is a major complication of TDM. The aim of the study was to understand the gut-kidney axis by an analysis of gut microbiota composition among biopsy-proven DN, TDM without kidney disease, and healthy control.
Fecal samples were collected from 14 DNs, 14 age/gender-matched TDMs 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.
Substantial 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).
Gut 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.
2 型糖尿病(T2DM)的患病率不断上升,其发病机制与肠道微生物群的关系也日益受到关注。糖尿病肾病(DN)是 T2DM 的主要并发症之一。本研究旨在通过分析经活检证实的 DN、无肾脏疾病的 T2DM 患者和健康对照者的肠道微生物组成,了解肠道-肾脏轴。
收集 14 例 DN 患者、14 例年龄/性别匹配的无肾脏疾病 T2DM 患者(DM)、14 例年龄和性别匹配的健康对照者(HC)和 DM 组的家庭接触者(HH)的粪便样本。采用 16sRNA 微生物谱分析方法分析肠道微生物组成。
与 HC 相比,DM 组肠道微生物丰富度和细菌种群变化差异较大,与 DM 相比,DN 组肠道微生物丰富度和细菌种群变化差异较大。与年龄/性别匹配的健康对照者相比,DM 患者可以通过属 g_Prevotella_9 (AUC=0.9)的变量准确区分,与年龄/性别匹配的 DM 患者相比,DN 患者可以通过两个属(g_Escherichia-Shigella 和 g_Prevotella_9,AUC=0.86)的变量准确区分。HH 组的微生物组成与 HC 组接近,与 DM 组不同。在相同饮食下,DM 患者可以通过同一属(g_Prevotella_9,AUC=0.92)更准确地检测到。
本研究探索了肠道微生物组成与 T2DM 患者经活检证实的 DN 发生的关系。DM 患者粪便中 g_Prevotella_9 水平的检测可将其与 HC 患者区分开来,而 DN 患者与 DM 患者的区别则是 g_Escherichia-Shigella 和 g_Prevotella_9 的变量,这可能有助于对 T2DM 患者的 DN 进行生理病理诊断。