Consolidating Clinical Insights and Uncovering Novel Regulatory Mechanisms of Exosomal MicroRNAs in Obesity and Metabolic Dysfunction Associated Steatotic Liver Disease: A Systematic Review and Bioinformatics Analysis
Mo Q., Ghafourian A., Hamdi M., Alidadipour A., Soleimani M., Davoudi M.
Systematic Review on Type 2 Diabetes, Chronic Inflammation, published in Food Sci Nutr (2026) — summary generated from the PubMed abstract.
Relatively higher-quality human studies compared with other topics in this database, e.g. multiple RCTs or systematic reviews. This does not mean it is standard or approved care.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Systematic Review
- Journal
- Food Sci Nutr (2026)
- Reported sample size
- —
- Source database
- Europe PMC
- PMID
- 42254426
- PMCID
- PMC13238684
- DOI
- 10.1002/fsn3.71901
Abstract (original English)
Obesity and metabolic dysfunction associated steatotic liver disease (MASLD) are interrelated metabolic disorders characterized by chronic inflammation, insulin resistance, and dyslipidemia. While both conditions are well recognized clinically, the molecular mechanisms underlying their frequent coexistence remain poorly understood. Growing evidence indicates that circulatory exosomal microRNAs (miRNAs) act as critical mediators of inter-organ communication. In this PROSPERO-registered systematic review (CRD420251017335), we integrated clinical evidence with bioinformatics analyses to clarify shared miRNA-mediated regulatory networks between obesity and MASLD. Literature was retrieved from MEDLINE, ISI Web of Science, and Embase. Bioinformatics analysis using miRWalk also revealed shared miRNAs, predicted target genes, and elucidated enriched pathways using Gene Ontology and KEGG. Clinical studies identified 93 obesity-associated and 24 MASLD-associated exosomal miRNAs, with let-7b and miR-335-5p emerging as common nodes. Bioinformatics analysis using miRWalk revealed extensive overlap at the functional level, including 40,410 shared miRNA-mRNA interactions and 42 common target genes. Several circulating exosomal miRNAs from obese individuals, including miR-122 , miR-192 , miR-128 , and miR-9-5p , were consistently associated with liver histopathology, inflammatory markers, and
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
Evidence level
Relatively higher-quality human studies compared with other topics in this database, e.g. multiple RCTs or systematic reviews. This does not mean it is standard or approved care.
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