Circulating expression of Hsa_circRNA_102893 contributes to early gestational diabetes mellitus detection

Sci Rep. 2020 Nov 4;10(1):19046. doi: 10.1038/s41598-020-76013-5.

Abstract

Due to a poor availability of reliable biomarkers, detecting gestational diabetes mellitus (GDM) in early pregnancy remains a challenge. Novel biomarkers like Circular RNAs (circRNAs) may be a promising diagnostic tool. The aim of this study was (a) to identify circRNAs deregulated in GDM and (b) evaluate the potential of circRNAs in detecting GDM. The circRNAs expression profiling in 6 paired women (with and without GDM) was measured by microarray. The levels of five most relevant circRNAs were validated in 12 paired participants by qRT-PCR. To verify the reproducibility of qRT-PCR, significantly differential expressed circRNA levels were confirmed in 18 paired participants. A receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value. The areas under ROC curves of hsa_circRNA_102893 were 0.806 (95% CI 0.594-0.937) and 0.741 (0.568-0.872) in training set and test set, respectively. Circulating circRNAs reflect the presence of GDM. Hsa_circRNA_102893 may be a potential novel and stable noninvasive biomarker for detecting GDM in early pregnancy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Biomarkers*
  • Case-Control Studies
  • Cell-Free Nucleic Acids*
  • Computational Biology / methods
  • Diabetes, Gestational / blood*
  • Diabetes, Gestational / diagnosis*
  • Diabetes, Gestational / etiology
  • Female
  • Gene Expression Profiling / methods
  • Gestational Age
  • Humans
  • Molecular Sequence Annotation
  • Pregnancy
  • RNA, Circular
  • ROC Curve
  • Reproducibility of Results
  • Risk Factors

Substances

  • Biomarkers
  • Cell-Free Nucleic Acids
  • RNA, Circular