A novel approach to finding the compositional differences and biomarkers in gut microbiota in type 2 diabetic patients via meta-analysis, data-mining, and multivariate analysis

4区医学 Q3 Nursing

Endocrinologia, Diabetes y Nutricion Pub Date : 2025-06-01 DOI:10.1016/j.endinu.2025.501561

Faezeh Ebrahimi , Hadi Maleki , Mansour Ebrahimi , Amir Hossein Beiki

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引用次数: 0

Abstract

Background/Purpose of the study

Type 2 diabetes mellitus (T2DM)—one of the fastest globally spreading diseases—is a chronic metabolic disorder characterized by elevated blood glucose levels. It has been suggested that the composition of gut microbiota plays key roles in the prevalence of T2DM. In this study, a novel approach of large-scale data mining and multivariate analysis of the gut microbiome of T2DM patients and healthy controls was conducted to find the key compositional differences in their microbiota and potential biomarkers of the disease.

Methods

First, suitable datasets were identified (9 in total with 946 samples), analyzed, and their operational taxonomic units (OTUs) were computed by identical parameters to increase accuracy. The following OTUs were merged and compared based on their health status, and compositional differences detected. For biomarker identification, the OTUs were subjected to 9 different attribute weighting models. Additionally, OTUs were independently analyzed by multivariate algorithms (LEfSe test) to verify the realized biomarkers.

Results

Overall, 23 genera and 4 phyla were identified as possible biomarkers. At genus level, the decrease of Bacteroides, Methanobrevibacter, Paraprevotella, and [Eubacterium] hallii group in T2DM and the increase of Prevotella, Megamonas, Megasphaera, Ligilactobacillus, and Lachnoclostridium were selected as biomarkers; and at phylum level, the increase of Synergistota and the decrease of Euryarchaeota, Desulfobacterota (Thermodesulfobacteriota), and Ptescibacteria.

Conclusion

This is the first study ever conducted to find the microbial compositional differences and biomarkers in T2DM using data mining models applied on a widespread metagenome dataset and verified by multivariate analysis.

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通过荟萃分析、数据挖掘和多变量分析，发现2型糖尿病患者肠道微生物群组成差异和生物标志物的新方法

背景/研究目的2型糖尿病（T2DM）是全球传播最快的疾病之一，是一种以血糖水平升高为特征的慢性代谢性疾病。有研究表明，肠道菌群的组成在T2DM的患病率中起着关键作用。在这项研究中，我们采用了一种新的方法，对T2DM患者和健康对照者的肠道微生物群进行大规模数据挖掘和多变量分析，以发现他们肠道微生物群的关键组成差异和潜在的T2DM生物标志物。方法首先选择9个合适的数据集（共946份样本）进行分析，采用相同的参数计算其操作分类单位（OTUs），以提高准确性；以下otu根据其健康状态进行合并和比较，并检测到组成差异。为了进行生物标志物鉴定，对otu进行了9种不同的属性加权模型。此外，通过多元算法（LEfSe检验）对otu进行独立分析，以验证所实现的生物标志物。结果共鉴定出可能的生物标志物23属4门。在属水平上，T2DM患者拟杆菌（Bacteroides）、甲烷杆菌（Methanobrevibacter）、拟杆菌（Paraprevotella）和哈里真杆菌（Eubacterium）组减少，普雷沃菌（Prevotella）、巨单胞菌（Megamonas）、巨孢子菌（Megasphaera）、乳酸菌（liilactobacillus）和Lachnoclostridium增加；在门水平上，增效菌群增加，Euryarchaeota、Desulfobacterota （Thermodesulfobacteriota）和Ptescibacteria群减少。本研究首次利用广泛的宏基因组数据集数据挖掘模型，并通过多变量分析进行验证，发现T2DM患者微生物组成差异和生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Endocrinologia, Diabetes y Nutricion Nursing-Nutrition and Dietetics

CiteScore

2.10

自引率

0.00%

发文量

169

审稿时长

35 days

期刊介绍： Endocrinología, Diabetes y Nutrición is the official journal of the Spanish Society of Endocrinology and Nutrition (Sociedad Española de Endocrinología y Nutrición, SEEN) and the Spanish Society of Diabetes (Sociedad Española de Diabetes, SED), and was founded in 1954. The aim of the journal is to improve knowledge and be a useful tool in practice for clinical and laboratory specialists, trainee physicians, researchers, and nurses interested in endocrinology, diabetes, nutrition and related disciplines. It is an international journal published in Spanish (print and online) and English (online), covering different fields of endocrinology and metabolism, including diabetes, obesity, and nutrition disorders, as well as the most relevant research produced mainly in Spanish language territories. The quality of the contents is ensured by a prestigious national and international board, and by a selected panel of specialists involved in a rigorous peer review. The result is that only manuscripts containing high quality research and with utmost interest for clinicians and professionals related in the field are published. The Journal publishes Original clinical and research articles, Reviews, Special articles, Clinical Guidelines, Position Statements from both societies and Letters to the editor. Endocrinología, Diabetes y Nutrición can be found at Science Citation Index Expanded, Medline/PubMed and SCOPUS.