Functional alterations and predictive capacity of gut microbiome in type 2 diabetes

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作者
Nihar Ranjan Dash
Mohammad T. Al Bataineh
Rohia Alili
Habiba Al Safar
Noura Alkhayyal
Edi Prifti
Jean-Daniel Zucker
Eugeni Belda
Karine Clément
机构
[1] University of Sharjah,Department of Clinical Sciences, College of Medicine
[2] Khalifa University of Science and Technology,Department of Genetics and Molecular Biology, College of Medicine and Health Sciences
[3] Khalifa University of Science and Technology,Center for Biotechnology
[4] Sorbonne University,INSERM, Nutrition and obesities: systemics approaches (NutriOmics)
[5] Assistance Publique Hôpitaux de Paris,Nutrition Department, Pitié
[6] University Hospital Sharjah,Salpêtrière Hospital
[7] Sorbonne Université,Unité de Modélisation Mathématique et Informatique des Systèmes Complexes, UMMISCO, IRD
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The gut microbiome plays a significant role in the development of Type 2 Diabetes Mellitus (T2DM), but the functional mechanisms behind this association merit deeper investigation. Here, we used the nanopore sequencing technology for metagenomic analyses to compare the gut microbiome of individuals with T2DM from the United Arab Emirates (n = 40) with that of control (n = 44). DMM enterotyping of the cohort resulted concordantly with previous results, in three dominant groups Bacteroides (K1), Firmicutes (K2), and Prevotella (K3) lineages. The diversity analysis revealed a high level of diversity in the Firmicutes group (K2) both in terms of species richness and evenness (Wilcoxon rank-sum test, p value < 0.05 vs. K1 and K3 groups), consistent with the Ruminococcus enterotype described in Western populations. Additionally, functional enrichment analyses of KEGG modules showed significant differences in abundance between individuals with T2DM and controls (FDR < 0.05). These differences include modules associated with the degradation of amino acids, such as arginine, the degradation of urea as well as those associated with homoacetogenesis. Prediction analysis with the Predomics approach suggested potential biomarkers for T2DM, including a balance between a depletion of Enterococcus faecium and Blautia lineages with an enrichment of Absiella spp or Eubacterium limosum in T2DM individuals, highlighting the potential of metagenomic analysis in predicting predisposition to diabetic cardiomyopathy in T2DM patients.
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