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Suppression of certain intestinal microbiota metabolites may lead to gestational diabetes in mice fed a high-fat diet.
Xie, Ya-Ping; Zhao, Hui-Fen; Lin, Shu; Wang, Xian-Long; Liu, Yi-Fei; Xie, Bao-Yuan.
Afiliación
  • Xie YP; Nursing Department, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
  • Zhao HF; Nursing Department, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
  • Lin S; Centre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
  • Wang XL; Group of Neuroendocrinology, Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Liu YF; Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China.
  • Xie BY; Central Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Front Microbiol ; 15: 1473441, 2024.
Article en En | MEDLINE | ID: mdl-39351297
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 (ß) 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza