Circulating noncoding RNAs as early predictive biomarkers in preeclampsia: a diagnostic meta-analysis

Area of Science:

• Biomarkers and Diagnostics
• Genomics and Molecular Biology
• Obstetrics and Gynecology

Background:

• Preeclampsia poses significant risks to maternal and fetal health.
• Early prediction of preeclampsia is crucial for timely intervention and improved outcomes.
• Noncoding RNAs (ncRNAs) are emerging as potential biomarkers for various diseases.

Purpose of the Study:

• To evaluate the clinical significance and efficacy of circulating ncRNAs for early preeclampsia prediction.
• To synthesize existing evidence through a meta-analysis.

Main Methods:

• A systematic literature search was conducted in PubMed, Embase, and the Cochrane Library.
• Meta-analysis and meta-regression were employed to evaluate prediction performance and heterogeneity.
• Summary receiver operator characteristic (SROC) curves were used to assess diagnostic accuracy.

Main Results:

• The meta-analysis included 41 studies with 557 preeclampsia patients and 842 controls.
• Circulating ncRNAs in blood demonstrated good predictive performance (AUC=0.86).
• Peripheral blood mononuclear cell (PBMC) samples yielded the highest diagnostic accuracy (AUC=0.93), with combined detection outperforming single detection.

Conclusions:

• Circulating ncRNAs are valuable noninvasive biomarkers for early preeclampsia prediction with significant clinical potential.
• Further multicenter, comprehensive, and prospective studies are needed to validate these findings and establish testing criteria.