ArticleCurrent issues in molecular biology2026
Circulating MicroRNA Profiling for Phenotypic Stratification in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease: A Candidate-Based Study.
Article in Current issues in molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) comprises phenotypic subgroups, including type-2 diabetes-associated MAFLD (T2D-MAFLD), obesity-associated MAFLD (OB-MAFLD), and lean MAFLD (L-MAFLD). Emerging evidence indicates that dysregulation of miRNAs plays a key role in MAFLD pathogenesis and progression. This study evaluated the diagnostic accuracy of a plasma miRNA-based signature as a non-invasive biomarker for early detection and phenotypic stratification of MAFLD. A total of 393 MAFLD patients and 109 healthy controls were enrolled. Plasma expression of miR-122, miR-103a, miR-222, miR-15a, miR-34a, miR-192, miR-197, and miR-99a was quantified using Reverse transcription polymerase chain reaction. Compared to controls, MAFLD patients exhibited significant upregulation of miR-122, miR-103a, miR-222, miR-15a, and miR-34a, alongside downregulation of miR-197 and miR-99a. Multinomial logistic regression revealed phenotype-specific associations: miR-103a, miR-34a, and miR-197 with T2D-MAFLD; miR-122, miR-222, and miR-99a with OB-MAFLD; and miR-15a with L-MAFLD. Receiver operating characteristic analysis demonstrated highest individual diagnostic accuracy for miR-197 in T2D-MAFLD (AUC = 0.784), miR-99a in OB-MAFLD (AUC = 0.869), and miR-15a in L-MAFLD (AUC = 0.776). Integrating combined miRNA panels with biochemical markers further improved diagnostic performance and clinical utility, achieving high positive and negative predictive values. In conclusion, plasma miRNA signatures enable phenotype-specific discrimination of MAFLD subtypes and may serve as promising non-invasive tools pending multi-center validation.
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