Genome-scale community modelling elucidates the metabolic interaction in Indian type-2 diabetic gut microbiota

• Published in: Scientific reports 2024-07, Vol.14 (1), p.17259-12, Article 17259
• Main Authors: Beura, Satyajit, Kundu, Pritam, Das, Amit Kumar, Ghosh, Amit
• Format: Article
• Language: English
• Subjects: 631/553/2695; 631/553/2710; Acetic acid; Amino acids; Carbohydrate metabolism; Diabetes; Diabetes mellitus; Fluctuations; Genomes; Glucose metabolism; Humanities and Social Sciences; Insulin resistance; Intestinal microflora; Metabolic disorders; Metabolic flux; Metabolism; Microbiomes; Microbiota; Microorganisms; multidisciplinary; Science; Science (multidisciplinary); Syntrophism; Vitamins
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-63718-0

Type-2 diabetes (T2D) is a rapidly growing multifactorial metabolic disorder that induces the onset of various diseases in the human body. The compositional and metabolic shift of the gut microbiota is a crucial factor behind T2D. Hence, gaining insight into the metabolic profile of the gut microbiota is essential for revealing their role in regulating the metabolism of T2D patients. Here, we have focused on the genome-scale community metabolic model reconstruction of crucial T2D-associated gut microbes. The model-based analysis of biochemical flux in T2D and healthy gut conditions showed distinct biochemical signatures and diverse metabolic interactions in the microbial community. The metabolic interactions encompass cross-feeding of short-chain fatty acids, amino acids, and vitamins among individual microbes within the community. In T2D conditions, a reduction in the metabolic flux of acetate, butyrate, vitamin B5, and bicarbonate was observed in the microbial community model, which can impact carbohydrate metabolism. The decline in butyrate levels is correlated with both insulin resistance and diminished glucose metabolism in T2D patients. Compared to the healthy gut, an overall reduction in glucose consumption and SCFA production flux was estimated in the T2D gut environment. Moreover, the decreased consumption profiles of branch chain amino acids (BCAAs) and aromatic amino acids (AAAs) in the T2D gut microbiota can be a distinct biomarker for T2D. Hence, the flux-level analysis of the microbial community model can provide insights into the metabolic reprogramming in diabetic gut microbiomes, which may be helpful in personalized therapeutics and diet design against T2D.