Suppression of certain intestinal microbiota metabolites may lead to gestational diabetes in mice fed a high-fat diet

Front Microbiol. 2024 Sep 16:15:1473441. doi: 10.3389/fmicb.2024.1473441. eCollection 2024.

Abstract

Background: We aim to establish a gestational diabetes mellitus (GDM) mouse model with mice fed with a high-fat diet (HFD) in comparison with pregnant mice with normal blood glucose levels to investigate the role of intestinal microbiota in the development of HFD-induced GDM.

Methods: We divided healthy 6-week-old female C57BL mice into an HFD-induced GDM group and a normal diet group. Their bacterial flora and metabolites in intestinal fecal exosomes were co-analyzed using 16 s multi-region sequencing and compared.

Findings: Alpha (α) diversity was lower within the model group compared to the control group. Beta (β) diversity was significantly different between the two groups. The relative abundances of Lactobacillus, Actinomyces, Rothia, and Bacteroidetes were significantly different between the two groups. Fermentation and nitrate consumption were significantly higher in the GDM group. Multiple bacteria were associated with glycerophosphocholine, S-methyl-5'-thioadenosine, quinolinate, galactinol, deoxyadenosine, DL-arginine, and 2-oxoadenic acid.

Interpretation: Imbalances in the production of Lactobacillus, Bacteroidetes, Actinomyces, and Rothia and their related metabolites may lead to metabolic disturbances in GDM. These indicators may be used to assess changes affecting the intestinal microbiota during pregnancy and thus help modulate diet and alter blood glucose.

Keywords: exosomes; gestational diabetes mellitus; high-fat diet; intestinal microbiota; short-chain fatty acids.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Fujian Provincial Key Clinical Specialties Construction Project in 2022 (The Second Affiliated Hospital of Fujian Medical University Key Discipline Special Project, Grant number: HLZDZK202301) and Startup Fund for scientific research, Fujian Medical University (Grant number: 2022QH1119).