Journal of Biomedical Advancement Scientific Research

Abstract

Introduction: Metabolic Dysfunction–Associated Steatotic Liver Disease (MASLD) is a prevalent metabol ic liver disorder with increasing global burden, yet its diagnosis remains challenging due to the limitations of current non-invasive tools. Circulating microRNAs (miRNAs) have emerged as promising biomarkers owing to their stability in body fluids and their involvement in key metabolic and inflammatory pathways.

Methods: Publicly available circulating miRNA datasets were analyzed to identify differentially expressed miRNAs between MASLD patients and controls. Target gene prediction was performed using multiple data bases, followed by functional enrichment analysis to explore associated biological pathways. An integrated miRNA–mRNA regulatory network was constructed, and diagnostic performance was evaluated using re ceiver operating characteristic (ROC) curve analysis.

Methods: Publicly available circulating miRNA datasets were analyzed to identify differentially expressed miRNAs between MASLD patients and controls. Target gene prediction was performed using multiple data bases, followed by functional enrichment analysis to explore associated biological pathways. An integrated miRNA–mRNA regulatory network was constructed, and diagnostic performance was evaluated using re ceiver operating characteristic (ROC) curve analysis.

Conclusion: Circulating miRNA signatures represent promising non-invasive biomarkers for MASLD, of fering both diagnostic potential and mechanistic insight. Integrative bioinformatics analysis provides a val uable framework for identifying clinically relevant biomarkers; however, further validation in prospective clinical studies is required.