Evidence map›Paper›PMID 39963193›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Gut Microbiota in T2DM Patients with Microvascular Complications: A 16S rRNA Sequencing Study.

Yuying Wang, Dongmei Jiang, Xia Pan, Ke Sun, Tingting Li, Xin Cao, Xiaohui Zhu

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yuying WangDepartment of Endocrinology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng City, Jiangsu Province, People's Republic of China.
Dongmei JiangDepartment of Endocrinology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng City, Jiangsu Province, People's Republic of China.
Xia PanDepartment of Endocrinology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng City, Jiangsu Province, People's Republic of China.
Ke SunDepartment of Endocrinology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng City, Jiangsu Province, People's Republic of China.
Tingting LiDepartment of Endocrinology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng City, Jiangsu Province, People's Republic of China.
Xin CaoDepartment of Endocrinology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng City, Jiangsu Province, People's Republic of China.
Xiaohui ZhuDepartment of Endocrinology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng City, Jiangsu Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: 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. Methods: 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. Results: 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 ( Conclusion: 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.

Indexed as

16S rRNA sequencinggut microbiotamicrovascular complicationstype 2 diabetes

Identifiers

PMID39963193
PMCPMC11831918

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.