Madras Diabetes Research Foundation, Chennai, India
Opinion
Advancing Early Prediction of Gestational Diabetes Mellitus with Circular RNA Biomarkers
Author(s): Arvind Menon*
Gestational diabetes mellitus (GDM) is a common pregnancy complication
associated with adverse maternal and neonatal outcomes. Early prediction
is crucial for implementing timely interventions. Circular RNAs (circRNAs),
a novel class of endogenous non-coding RNAs with covalently closed
loop structures, have emerged as promising biomarkers due to their high
stability, abundance in plasma, and tissue specificity. This review explores
the potential of circRNAs as diagnostic tools for early prediction of GDM.
We analyze the mechanisms through which circRNAs modulate glucose
metabolism and insulin sensitivity, highlight recent studies identifying
specific circRNA signatures in early pregnancy, and discuss their potential
clinical applications. The integration of circRNA profiling in prenatal
care could revolutionize GDM prediction, enabling precision medicine
approaches to materna.. View More»
