Journal Article

High-Resolution Taxonomic Characterization Reveals Novel Human Microbial Strains with Potential as Risk Factors and Probiotics for Prediabetes and Type 2 Diabetes

Vella, Chantal A., Hendricks, Sarah A., New, Daniel D., Andrews, Kimberly R., Balemba, Onesmo B., Aunjum, Afiya, Geidl, Rayme, Antush, Maximilian

2023

Overview

Alterations in the composition of the gut microbiota is thought to play a key role in causing type 2 diabetes, yet is not fully understood, especially at the strain level. Here, we used long-read DNA sequencing technology of 16S-ITS-23S rRNA genes for high-resolution characterization of gut microbiota in the development of type 2 diabetes. Gut microbiota composition was characterized from fecal DNA from 47 participants divided into 4 cohorts based on glycemic control: normal glycemic control (healthy; n = 21), reversed prediabetes (prediabetes/healthy; n = 8), prediabetes (n = 8), or type 2 diabetes (n = 10). A total of 46 taxa were found to be possibly related to progression from healthy state to type 2 diabetes. Bacteroides coprophilus DSM 18228, Bifidobacterium pseudocatenulatum DSM 20438, and Bifidobacterium adolescentis ATCC 15703 could confer resistance to glucose intolerance. On the other hand, Odoribacter laneus YIT 12061 may be pathogenic as it was found to be more abundant in type 2 diabetes participants than other cohorts. This research increases our understanding of the structural modulation of gut microbiota in the pathogenesis of type 2 diabetes and highlights gut microbiota strains, with the potential for targeted opportunistic pathogen control or consideration for probiotic prophylaxis and treatment.

• Publisher: MDPI AG,MDPI
• Subject: Alzheimer's disease / Analysis / Bacteroides / Bifidobacterium adolescentis / Bifidobacterium pseudocatenulatum / Care and treatment / Composition / Deoxyribonucleic acid / Diabetes / Diabetes mellitus (non-insulin dependent) / Diagnosis / Disease prevention / DNA / DNA sequencing / fecal microbiota / Feces / Gastrointestinal surgery / glucose / Glucose tolerance / glycemic control / gut microbiota / Health aspects / High resolution / humans / hyperglycemia / insulin resistance / Intestinal microflora / intestinal microorganisms / Intolerance / Laboratories / long-read sequencing / Metabolic disorders / Microbiota / Microbiota (Symbiotic organisms) / Microorganisms / noninsulin-dependent diabetes mellitus / Nucleotide sequencing / Opportunist infection / opportunistic pathogens / Pathogenesis / prediabetes / Prediabetic state / Probiotics / risk / Risk factors / rRNA 16S / rRNA 23S / Taxonomy / Type 2 diabetes / Variance analysis / Veganism