4.5 Article

Extracellular vesicles and their role in gestational diabetes mellitus

期刊

PLACENTA
卷 113, 期 -, 页码 15-22

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W B SAUNDERS CO LTD
DOI: 10.1016/j.placenta.2021.02.012

关键词

Pregnancy; Placenta; Extracellular vesicles; Exosomes; Microvesicles; Gestational diabetes mellitus; miRNAs; Proteins

资金

  1. National Institutes of Health [HD-089714, HD00015]

向作者/读者索取更多资源

Gestational diabetes mellitus (GDM) is a disease defined by glucose intolerance during pregnancy with increasing worldwide incidence, leading to higher rates of maternal and fetal morbidity. Small extracellular vesicles (sEVs) play a crucial role in pregnancy and GDM, with their impact on maternal adaptations and potential as biomarkers for GDM being of significant interest in research.
Gestational diabetes mellitus (GDM) is a complex disorder that is defined by glucose intolerance with onset during pregnancy. The incidence of GDM is increasing worldwide. Pregnancies complicated with GDM have higher rates of maternal and fetal morbidity with short- and long-term consequences, including increased rates of cardiovascular disease and type II diabetes for both the mother and offspring. The pathophysiology of GDM still remains unclear and there has been interest in the role of small extracellular vesicles (sEVs) in the maternal metabolic adaptations that occur in pregnancy and GDM. Small EVs are nanosized particles that contain bioactive content, including miRNAs and proteins, which are released by cells to provide cell-to-cell communication. Pregnancy induces an increase in total and placental-secreted sEVs across gestation, with a further increase in sEV number and changes in the protein and miRNA composition of these sEVs in GDM. Research has suggested that these sEVs have an impact on maternal adaptations during pregnancy, including targeting the pancreas, skeletal muscle and adipose tissue. Consequently, this review will focus on the differences in total and placental sEVs in GDM compared to normal pregnancy, the role of sEVs in the pathophysiology of GDM and their clinical application as potential GDM biomarkers.

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