Wang Yuying, Jiang Dongmei, Pan Xia, Sun Ke, Li Tingting, Cao Xin, Zhu Xiaohui
Department of Endocrinology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng City, Jiangsu Province, People's Republic of China.
Diabetes Metab Syndr Obes. 2025 Feb 13;18:373-381. doi: 10.2147/DMSO.S493720. eCollection 2025.
This study aims to investigate the characteristics of gut microbiota in patients with microvascular complications of Type 2 Diabetes Mellitus (T2DM) using 16S rRNA high-throughput sequencing technology.
Patients diagnosed with T2DM were enrolled as study subjects. Based on the presence of microvascular complications, subjects were divided into a study group, a control group. Clinical fecal samples from the two groups were subjected to diversity analysis using the Illumina MiSeq high-throughput sequencing technology, comparing the richness and diversity of the gut microbiota between the two groups. The Tax4Fun software was utilized for the functional prediction of differential microbiota.
A total of 3727 operational taxonomic units (OTUs) were identified, with 1311 OTUs common to both groups, and 1363 and 1053 OTUs unique to the study group and the control group, respectively. The study group exhibited a significant increase in the relative abundance of Clostridia and Negativicutes, and a marked decrease in Gammaproteobacteria, Bacilli, and Verrucomicrobia compared to the control group. LefSe analysis revealed significant differences in the relative abundance at two phyla, two classes, two orders, three families, and two genera levels between the groups. KEGG pathway analysis of differential microbiota identified 10 pathways with statistically significant differences (<0.05).
This study reveals significant disparities in gut microbiota abundance between T2DM patients and those with microvascular complications of T2DM, suggesting potential microbial markers for diagnosing and treating microvascular complications of T2DM.
本研究旨在运用16S rRNA高通量测序技术，调查2型糖尿病（T2DM）微血管并发症患者的肠道微生物群特征。
将诊断为T2DM的患者纳入研究对象。根据是否存在微血管并发症，将受试者分为研究组和对照组。使用Illumina MiSeq高通量测序技术对两组的临床粪便样本进行多样性分析，比较两组肠道微生物群的丰富度和多样性。利用Tax4Fun软件对差异微生物群进行功能预测。
共鉴定出3727个可操作分类单元（OTU），两组共有1311个OTU，研究组和对照组分别有1363个和1053个独特的OTU。与对照组相比，研究组梭菌纲和Negativicutes的相对丰度显著增加，γ-变形菌纲、芽孢杆菌纲和疣微菌门的相对丰度显著降低。LefSe分析显示，两组在两个门、两个纲、两个目、三个科和两个属水平上的相对丰度存在显著差异。对差异微生物群的KEGG通路分析确定了10条具有统计学显著差异（<0.05）的通路。
本研究揭示了T2DM患者与T2DM微血管并发症患者肠道微生物群丰度存在显著差异，提示可能存在用于诊断和治疗T2DM微血管并发症的微生物标志物。
