The association of type II diabetes with gut microbiota composition

Microb Pathog. 2017 Sep:110:630-636. doi: 10.1016/j.micpath.2017.07.034. Epub 2017 Jul 21.

Abstract

It is known that type 2 diabetes (T2D) in humans could be linked to the composition of gut microbiota. The aim of this study was to evaluate three faecal bacterial species, including Bacteroides fragilis, Bifidobacterium longum and Faecalibacterium prausnitzii in patients with T2D. This case control study included 18 patients with T2D and 18 matched persons without diabetes. The concentrations of B. fragilis, B. longum and F. prausnitzii were determined by quantitative Real-Time PCR. Quantitative PCR analysis revealed that the gut bacterial composition in patients with T2D was partially different from that in the healthy individuals. Faecalibacterium prausnitzii was significantly lower in patients with T2D (P-value = 0.038). Bacteroides fragilis was under-represented in the microbiota of the group with diabetes, but its difference between two groups was not significant (P-value = 0.38). No difference was observed for B. longum community between the both groups (P-value = 0.99). Characterization of specific species of intestinal microbiota shows some compositional changes in patients with T2D. The results may be valuable for developing strategies to control type 2 diabetes by modifying the intestinal microbiota. Long-term studies with emphasis on other bacterial groups are suggested to clarify the association of T2D with gut microbiota.

Keywords: Bacteroides fragilis; Bifidobacterium longum; Faecalibacterium prausnitzii; Gut microbiota; Real-time PCR; Type 2 diabetes.

MeSH terms

  • Bacterial Load
  • Bacteroides fragilis / isolation & purification*
  • Bifidobacterium longum / isolation & purification*
  • Case-Control Studies
  • Diabetes Mellitus, Type 2 / microbiology*
  • Faecalibacterium prausnitzii / isolation & purification*
  • Feces / microbiology
  • Gastrointestinal Microbiome*
  • Gastrointestinal Tract / microbiology*
  • Humans
  • Iran
  • Middle Aged
  • Real-Time Polymerase Chain Reaction