# MicroRNAs as Key Regulators in the Progression of Metabolic Dysfunction-Associated Steatotic Liver Disease: A Bioinformatics Analysis

**Authors:** Claudriana Locatelli, Karine Luz, Sergio Fallone de Andrade, Emyr Hiago Bellaver, Rosana Claudio Silva Ogoshi, Ariana Centa, João Paulo Assolini, Gustavo Colombo Dal Pont, Tania Beatriz Creczynski-Pasa

PMC · DOI: 10.3390/biomedicines14010120 · Biomedicines · 2026-01-07

## TL;DR

This study uses bioinformatics to explore how miR-122 and miR-29a microRNAs influence liver disease and metabolic syndrome by regulating key genes and pathways.

## Contribution

The study identifies and compares the regulatory roles of miR-122 and miR-29a in MASLD using a comprehensive in silico approach.

## Key findings

- miR-122 negatively regulates genes involved in lipid metabolism, insulin signaling, and inflammation, contributing to liver dysfunction.
- miR-29a targets genes that enhance insulin sensitivity and reduce fibrogenic activity, showing potential hepatoprotective effects.
- The two miRNAs exhibit opposing roles in MASLD, with miR-122 promoting disease progression and miR-29a offering protection.

## Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease, is a highly prevalent hepatic condition closely linked to metabolic syndrome (MetS). Epigenetic regulators such as microRNAs (miRNAs) have emerged as critical modulators of the molecular pathways underlying MASLD pathogenesis, offering new perspectives for non-invasive diagnosis and targeted therapy. This study aimed to identify and characterize target genes and pathways regulated by two key hepatic miRNAs, namely miR-122 and miR-29a, through a comprehensive in silico bioinformatics approach, to better understand their functional roles in MASLD and MetS. Methods: Target genes of miR-122 and miR-29a were predicted using three databases (TargetScan, DIANA-microT-CDS, and miRWalk), and those identified by at least two databases were selected for downstream analyses. Functional enrichment was performed using Gene Ontology and KEGG pathway analysis. Gene networks and biological process maps were constructed using Metascape, clusterProfiler and Cytoscape. Results: miR-122 was found to negatively regulate genes involved in lipid metabolism, insulin signaling, and inflammatory pathways, including PPARGC1A, PPARA, LPL, TLR4, and HMGCR, contributing to insulin resistance and liver dysfunction. By contrast, miR-29a demonstrated potential hepatoprotective effects by targeting LEP, INSR, IL13, and IL18, enhancing insulin sensitivity and reducing fibrogenic activity. Enrichment analysis revealed strong associations with biological processes, such as STAT phosphorylation, lipid homeostasis, and inflammatory signaling, as well as associations with cellular components, including lipoproteins and plasma membranes. miR-122 and miR-29a exhibit opposing regulatory functions in MASLD pathogenesis. Whereas miR-122 is associated with disease progression, miR-29a acts protectively. These miRNAs may serve as promising biomarkers and therapeutic targets in MASLD and related metabolic conditions. Further validation through experimental and clinical studies is warranted.

## Linked entities

- **Genes:** PPARGC1A (PPARG coactivator 1 alpha) [NCBI Gene 10891], PPARA (peroxisome proliferator activated receptor alpha) [NCBI Gene 5465], LPL (lipoprotein lipase) [NCBI Gene 4023], TLR4 (toll like receptor 4) [NCBI Gene 7099], HMGCR (3-hydroxy-3-methylglutaryl-CoA reductase) [NCBI Gene 3156], LEP (leptin) [NCBI Gene 3952], INSR (insulin receptor) [NCBI Gene 3643], IL13 (interleukin 13) [NCBI Gene 3596], IL18 (interleukin 18) [NCBI Gene 3606]
- **Diseases:** Metabolic dysfunction-associated steatotic liver disease (MONDO:0013209), Metabolic syndrome (MONDO:0000816)

## Full-text entities

- **Genes:** TLR4 (toll like receptor 4) [NCBI Gene 7099] {aka ARMD10, CD284, TLR-4, TOLL}, LEP (leptin) [NCBI Gene 3952] {aka LEPD, OB, OBS}, IL18 (interleukin 18) [NCBI Gene 3606] {aka IGIF, IL-18, IL-1g, IL1F4}, PPARGC1A (PPARG coactivator 1 alpha) [NCBI Gene 10891] {aka LEM6, PGC-1(alpha), PGC-1alpha, PGC-1v, PGC1, PGC1A}, PPARA (peroxisome proliferator activated receptor alpha) [NCBI Gene 5465] {aka NR1C1, PPAR, PPAR-alpha, PPARalpha, hPPAR}, LPL (lipoprotein lipase) [NCBI Gene 4023] {aka HDLCQ11, LIPD}, INSR (insulin receptor) [NCBI Gene 3643] {aka CD220, HHF5}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, IL13 (interleukin 13) [NCBI Gene 3596] {aka IL-13, P600}, HMGCR (3-hydroxy-3-methylglutaryl-CoA reductase) [NCBI Gene 3156] {aka LDLCQ3, LGMDR28, MYPLG}, MIR29A (microRNA 29a) [NCBI Gene 407021] {aka MIRN29, MIRN29A, hsa-mir-29, hsa-mir-29a, miRNA29A, mir-29a}, MIR122 (microRNA 122) [NCBI Gene 406906] {aka MIR122A, MIRN122, MIRN122A, hsa-mir-122, miRNA122, miRNA122A}
- **Diseases:** liver dysfunction (MESH:D017093), hepatic condition (MESH:D056486), MASLD (MESH:D008107), MetS (MESH:D024821), non-alcoholic fatty liver disease (MESH:D065626), insulin resistance (MESH:D007333), inflammatory (MESH:D007249)
- **Chemicals:** lipid (MESH:D008055)

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12838594/full.md

## References

67 references — full list in the complete paper: https://tomesphere.com/paper/PMC12838594/full.md

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Source: https://tomesphere.com/paper/PMC12838594