ArticleActa diabetologica2026
A metagenomic study of the gut microbiome in patients with type 2 diabetes mellitus and myocardial infarction.
Article in Acta diabetologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Gut microbiota in type 2 diabetes mellitus: mechanistic links between dysbiosis, insulin resistance, and chronic low-grade inflammation.Frontiers in endocrinology · 2026Review
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5 authors.
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Abstract
objectiveThis study aimed to investigate gut microbiota composition and metabolic functions in patients with type 2 diabetes mellitus (DM) complicated by myocardial infarction (MI) and to explore potential mechanisms linking the gut microbiome to MI development.
methodsSixty patients with DM complicated by MI and 52 patients with DM alone were initially recruited. After quality control, 29 DM + MI patients and 33 DM patients were included in the final analysis. Gut microbial profiles were characterized using shotgun metagenomic sequencing and bioinformatics analyses. Microbial diversity, composition, and gene functions were compared between groups based on KEGG, COG, and CAZy annotations.
resultsOverall microbial diversity and metabolic profiles were comparable between the two groups; however, significant differences were observed in specific taxa and functional genes. Taxa enriched in the DM + MI group included Bacteroidales, Prevotellaceae, and Lachnospiraceae. In total, 510 KEGG orthology (KO) units and 21 pathways-including ABC transporters, quorum sensing, and general metabolic pathways-differed significantly between groups. Carbohydrate transport and metabolism, as well as glycoside hydrolase activity, represented the most enriched functional categories. Random forest models based on selected microbial species, KO units, and KEGG pathways achieved areas under the curve (AUCs) of 0.868, 0.885, and 0.820, respectively.
conclusionPatients with DM complicated by MI exhibit distinct gut microbial compositions and functional gene signatures compared with patients with DM alone. These microbiome-based markers may contribute to early risk stratification and provide potential targets for microbiota-focused interventions to mitigate MI risk in patients with diabetes.
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