Tang LT, Feng L, Cao HY, Shi R, Luo BB, Zhang YB, Liu YM, Zhang J, Li SY. Comparative study of type 2 diabetes mellitus-associated gut microbiota between the Dai and Han populations. World J Diabetes 2023; 14(12): 1766-1783 [PMID: 38222790 DOI: 10.4239/wjd.v14.i12.1766]
Corresponding Author of This Article
Lei Feng, PhD, Chief Doctor, Full Professor, Department of Clinical Laboratory, Yan’an Hospital Affiliated to Kunming Medical University, No. 245 Renmin East Road, Kunming 650051, Yunnan Province, China. fngj2004@163.com
Research Domain of This Article
Microbiology
Article-Type of This Article
Case Control Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Diabetes. Dec 15, 2023; 14(12): 1766-1783 Published online Dec 15, 2023. doi: 10.4239/wjd.v14.i12.1766
Comparative study of type 2 diabetes mellitus-associated gut microbiota between the Dai and Han populations
Ling-Tong Tang, Lei Feng, Hui-Ying Cao, Rui Shi, Bei-Bei Luo, Yan-Bi Zhang, Yan-Mei Liu, Jian Zhang, Shuang-Yue Li
Ling-Tong Tang, Lei Feng, Hui-Ying Cao, Yan-Mei Liu, Jian Zhang, Shuang-Yue Li, Department of Clinical Laboratory, Yan’an Hospital Affiliated to Kunming Medical University, Kunming 650051, Yunnan Province, China
Rui Shi, Bei-Bei Luo, Yan-Bi Zhang, Department of Clinical Laboratory, Sixth Affiliated Hospital of Kunming Medical University, Kunming 650051, Yunnan Province, China
Author contributions: Tang LT and Feng L contributed equally to this work; Tang LT and Feng L drafted the manuscript; Shi R contributed to recruiting patients; Tang LT, Cao HY, and Li SY collected the data; Zhang YB and Zhang J analyzed and interpreted the data; Liu YM contributed to conception and design; Luo BB contributed to administrative support; and all authors read and approved the final manuscript.
Supported bythe National Natural Science Foundation of China, No. 82160402; Special Fund for Training Leading Medical Talents in Yunnan Province, China, No. L-2019022.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the Sixth Affiliated Hospital of Kunming Medical University (2023-kmykdx6f-66).
Informed consent statement: All study participants, or their legal guardians, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Lei Feng, PhD, Chief Doctor, Full Professor, Department of Clinical Laboratory, Yan’an Hospital Affiliated to Kunming Medical University, No. 245 Renmin East Road, Kunming 650051, Yunnan Province, China. fngj2004@163.com
Received: October 7, 2023 Peer-review started: October 7, 2023 First decision: October 17, 2023 Revised: October 24, 2023 Accepted: November 17, 2023 Article in press: November 17, 2023 Published online: December 15, 2023 Processing time: 68 Days and 7.6 Hours
ARTICLE HIGHLIGHTS
Research background
Previous studies revealed that there are discriminating microbiota compositions between the Han and Dai populations. However, the underlying differences in the gut microbiota between the Han and Dai populations have not yet been elucidated.
Research motivation
We compared the differences in the gut microbiota in subjects with and without type 2 diabetes mellitus (T2DM) in the Han and Dai populations to explore the pathogenic mechanism of T2DM.
Research objectives
To identify the differences in the gut microbiota related to the occurrence of T2DM in the Han and Dai populations.
Research methods
A total of 35 subjects of the Han population (15 healthy children, 8 adult healthy controls, and 12 adult T2DM patients) and 32 subjects of the Dai population (10 healthy children, 10 adult healthy controls, and 12 adult T2DM patients) were enrolled in this study. Fasting venous blood samples were collected from all the subjects for biochemical analysis. Fecal samples were collected from all the subjects for DNA extraction and 16S rRNA sequencing, which was followed by analyses of the gut microbiota composition.
Research results
Fasting plasma glucose levels and hemoglobin A1c were significantly increased in the T2DM patients. The gut microbiota of the Han population was significantly different from the Dai population in healthy children, healthy adults, and T2DM patients. Significant increases in Bacteroidetes were observed in T2DM patients from the Han population, while significant increases in Proteobacteria were observed in T2DM patients in the Dai population.
Research conclusions
We observed significant differences in the gut microbiota in the Han and Dai populations, and these differences were influenced to a greater degree by age than by T2DM.
Research perspectives
Our findings may provide additional insight for further study of the gut microbiota dysbiosis-related diseases in the Han and Dai populations. Future research should include a larger scale of samples and an investigation of the metabolic profile in order to confirm the relationship between an imbalance of the metabolism and gut microbiota alterations.
