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Strain-specific gut microbial signatures in type 2 diabetes identified in a cross-cohort analysis of 8,117 metagenomes.

Zhendong MeiFengLei WangAmrisha BhosleDanyue DongRaaj MehtaAndrew GhaziYancong ZhangYuxi LiuEhud RinottSiyuan MaEric Bruce RimmMartha DaviglusWalter C WillettRob KnightFrank B HuQibin QiAndrew T ChanMeredith YeagerMeir J StampferIris ShaiRobert C KaplanCurtis HuttenhowerDong D Wang
Published in: Nature medicine (2024)
The association of gut microbial features with type 2 diabetes (T2D) has been inconsistent due in part to the complexity of this disease and variation in study design. Even in cases in which individual microbial species have been associated with T2D, mechanisms have been unable to be attributed to these associations based on specific microbial strains. We conducted a comprehensive study of the T2D microbiome, analyzing 8,117 shotgun metagenomes from 10 cohorts of individuals with T2D, prediabetes, and normoglycemic status in the United States, Europe, Israel and China. Dysbiosis in 19 phylogenetically diverse species was associated with T2D (false discovery rate < 0.10), for example, enriched Clostridium bolteae and depleted Butyrivibrio crossotus. These microorganisms also contributed to community-level functional changes potentially underlying T2D pathogenesis, for example, perturbations in glucose metabolism. Our study identifies within-species phylogenetic diversity for strains of 27 species that explain inter-individual differences in T2D risk, such as Eubacterium rectale. In some cases, these were explained by strain-specific gene carriage, including loci involved in various mechanisms of horizontal gene transfer and novel biological processes underlying metabolic risk, for example, quorum sensing. In summary, our study provides robust cross-cohort microbial signatures in a strain-resolved manner and offers new mechanistic insights into T2D.
Keyphrases
  • genome wide
  • microbial community
  • type diabetes
  • escherichia coli
  • mental health
  • cardiovascular disease
  • small molecule
  • dna methylation
  • skeletal muscle
  • high throughput
  • adipose tissue
  • weight loss
  • breast cancer risk