Analysis of gut microbiota of obese individuals with type 2 diabetes and healthy individuals

PLoS One. 2019 Dec 31;14(12):e0226372. doi: 10.1371/journal.pone.0226372. eCollection 2019.

Abstract

Type 2 diabetes mellitus (T2DM) accounts for 90% of diabetes cases worldwide. The majority of T2DM patients are obese. Dysbiosis in the gut microflora is strongly associated with the pathogenesis of obesity and T2DM; however, the microbiome of obese-T2DM individuals in the Pakistani population remains unexplored. The gut microbiota signature of 60 Pakistani adults was studied using 16S rRNA sequencing targeting V3-V4 hypervariable regions. The sequence analysis revealed that bacteria from Firmicutes were predominant along with those from Clostridia and Negativicutes, whereas bacteria from Verrucomicrobia, Bacteroidetes, Proteobacteria, and Elusimicrobia were less abundant among the obese T2DM patients. These data distinctively vary from those in reports on the Indian population. The difference in gut microbiota could presumably be related to the distinct lifestyle and eastern dietary habits (high carbohydrate and fat intake, low fiber intake) and unregulated antibiotic consumption. This is the first study carried out to understand the gut microbiome and its correlation with individual life style of obese T2DM patients in the Pakistani population.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Bacteria / classification*
  • Bacteria / genetics
  • Bacteria / isolation & purification
  • Case-Control Studies
  • DNA, Bacterial / genetics
  • DNA, Ribosomal / genetics
  • Diabetes Mellitus, Type 2 / microbiology*
  • Dysbiosis / diagnosis*
  • Feces / microbiology
  • Female
  • Gastrointestinal Microbiome
  • Healthy Lifestyle
  • Humans
  • India
  • Male
  • Middle Aged
  • Obesity / microbiology*
  • Pakistan
  • Phylogeny
  • RNA, Ribosomal, 16S / genetics*
  • Sequence Analysis, DNA / methods*

Substances

  • DNA, Bacterial
  • DNA, Ribosomal
  • RNA, Ribosomal, 16S

Grants and funding

All sequence files and meta data information can be accessed using the following information: Bioproject; Accession: PRJNA55453, URL: (https://www.ncbi.nlm.nih.gov/bioproject/?term=prjna554535). URL for all samples: (https://www.ncbi.nlm.nih.gov/biosample?LinkName=bioproject_biosample_all&from_uid=554535).