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Updated: Jun 7, 2025
Author Spotlight: Accelerating Research on Bacterial Extracellular Vesicles Separation and Heterogeneity
Published on: September 1, 2023
Microbiome analysis of serum extracellular vesicles in gestational diabetes patients
Chih-Jung Chang1, Yu-Ci Bai2, Hong Jiang3
1School of Medicine and Medical Research Center, Xiamen Chang Gung Hospital Huaqiao University, Fujian, China.
Aim:
Gestational Diabetes Mellitus (GDM) is among the most common complications during pregnancy, posing serious risks to both the patient's and offspring's health and well-being. Alterations in the maternal microbiome are closely associated with the pathogenesis of GDM, with Extracellular Vesicles (EVs) facilitating communication between microbiota and the host. However, little is known about the relationship between the microbial composition within EVs and the pathogenesis of GDM. Therefore, this study aims to characterize the microbiota within serum EVs of GDM Patients (GDM group) and to identify microbial communities that significantly differ from those in Women With Normal Pregnancies (NonGDM group).
Methods:
Blood samples were collected from both groups of patients, and EVs derived from serum were isolated via centrifugation. Identification and characterization of EVs were performed using transmission electron microscopy and nanoparticle flow cytometry. Microbiome analysis of serum EVs from both groups was conducted using 16S rRNA sequencing.
Results:
Results indicated altered diversity in microbial communities within serum EVs of GDM patients. Further analysis at the phylum, family, genus, and species levels revealed that Proteobacteria, Actinobacteria, Bacteroidetes, and Firmicutes were the dominant taxa in the EVs of both the NonGDM and GDM groups. Specifically, Actinobacteria and Firmicutes showed increased relative abundance in GDM group EVs compared to NonGDM, leading to a higher Firmicutes/Bacteroidetes ratio, while Proteobacteria and Bacteroidetes exhibited decreased relative abundance. Tax4Fun analysis revealed enrichment of microbial functions related to amino acid metabolism, carbohydrate metabolism, energy metabolism, and metabolism of cofactors and vitamins in both patient groups.
Conclusion:
In conclusion, this study reveals a potential correlation between changes in the microbial composition and diversity of serum EVs and the onset and development of GDM. Furthermore, changes in the relative abundance of Actinobacteria, Proteobacteria, Bacteroidetes, and Firmicutes may play an important role in the pathogenesis of GDM.
