Exosomal RNA Expression Profiles and Their Prediction Performance in Patients With Gestational Diabetes Mellitus and

Yingdi Yuan1, Ying Li2, Lingmin Hu3

  • 1Department of Pediatrics, The First People's Hospital of Lianyungang, Xuzhou Medical University Affiliated Hospital of Lianyungang (Lianyungang Clinical College of Nanjing Medical University), Lianyungang, China.

Insights

Gestational diabetes mellitus with macrosomia (GDM-M) is linked to altered exosomal RNA profiles in cord blood. Specific exosomal RNAs in maternal peripheral blood show promise for predicting GDM-M risk.

Area of Science:

  • Perinatal medicine
  • Molecular biology
  • Genomics

Background:

  • Exosomes facilitate intercellular communication, potentially mediating mother-fetus interactions.
  • Gestational diabetes mellitus (GDM) and fetal macrosomia (GDM-M) represent significant pregnancy complications.

Purpose of the Study:

  • To profile exosomal RNA expression in cord blood from GDM-M pregnancies.
  • To assess the predictive performance of exosomal RNAs for GDM-M.

Main Methods:

  • Microarray analysis identified differentially expressed mRNAs, lncRNAs, and circRNAs in cord blood exosomes.
  • Quantitative PCR (qPCR) validated specific RNA markers.
  • Logistic regression, ROC curves, and nomograms evaluated prediction performance.

Main Results:

  • Significant differential expression of 98 mRNAs, 372 lncRNAs, and 452 circRNAs was observed.
  • GDF3 and AC006064.4 showed notable prediction performance (AUCs 0.78 and 0.74).
  • A combined model including maternal factors and these two RNAs achieved an AUC of 0.86.

Conclusions:

  • Exosomal RNAs are aberrantly expressed in GDM-M pregnancies.
  • Exosomal RNAs in peripheral blood are valuable biomarkers for predicting GDM-M.
Abstract

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