Circulating miR-326 and miR-532-3p: novel biomarkers for early gestational diabetes mellitus detection with high diagnostic accuracy
Year: 2026
Type: article
Study design: Observational Study
Abstract: PURPOSE: Gestational diabetes mellitus (GDM) significantly threatens maternal and fetal health, necessitating early and accurate diagnostic tools. This study aimed to identify and validate circulating microRNAs (miRNAs) as novel biomarkers for GDM. METHODS: A two-phase cross-sectional study enrolled 55 GDM patients and 55 matched healthy pregnant controls. In the discovery phase, RNA sequencing (RNA-seq) of peripheral blood RNA from a randomly selected subset (5 GDM patients, 5 controls) identified differentially expressed miRNAs. The validation phase employed reverse transcription and quantitative PCR (qPCR) in the entire cohort to confirm identified miR-326 and miR-532-3p expression. Bioinformatics analyses (Gene Ontology [GO] and Kyoto Encyclopedia of Genes and Genomes [KEGG]) investigated their functional roles using a consensus-based approach across multiple databases. RESULTS: [Fold Change] = 0.66, P < 0.01) in GDM patients, a finding corroborated by cross-referencing with the Gene Expression Omnibus (GEO) database. qPCR validation confirmed significantly higher expression for both miRNAs in GDM (P < 0.001), with strong negative correlations to fasting, 1-hour and 2-hour postprandial glucose levels. Receiver operating characteristic (ROC) curve analysis revealed excellent diagnostic performance (area under the curve [AUC]: 0.95 [95% CI: 0.91-0.99] for miR-326 and 0.96 [95% CI: 0.93-0.99] for miR-532-3p), robustly confirmed by bootstrap resampling. Functional analyses linked these miRNAs to phosphoinositide 3-kinase (PI3K)/Akt and Rap1 signaling pathways. CONCLUSION: This study provides compelling evidence for circulating miR-326 and miR-532-3p as a synergistic pair of biomarkers for GDM. Their high diagnostic accuracy and mechanistic insights into metabolic dysregulation position them as a promising complementary tool for early GDM risk assessment and for understanding GDM pathophysiology.
Authors: Hui-Zhen Lin, Zhi-Kun Liang, Jun-Ju Huang, Yong Yang, Yan Huang, Zhi-Shen Wu, Jin-Lin Tan, Sheng Huang, Shi-Han Ruan, Bing-Yi Xu, Ze-Fan Ruan, Tao-Sheng Huang, Qi-Guang Wang, Long Xie
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,790
Award: G7920355026
OpenAlex ID: W7128000471
