ArticleBiomolecules2024
The Development of a Non-Invasive Screening Method Based on Serum microRNAs to Quantify the Percentage of Liver Steatosis.
Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The use of circulating miRNAs for the diagnosis, prognosis, and personalized treatment of MASLD.Journal of physiology and biochemistry · 2025Pooled it
- The aryl hydrocarbon receptor is downregulated in MASLD while its activation attenuates steatosis in human hepatocytes through an IGFBP1-associated pathway.Archives of toxicology · 2026Article
- Circulating MicroRNA Profiling for Phenotypic Stratification in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease: A Candidate-Based Study.Current issues in molecular biology · 2026Article
- Identification of Circulating MiR-4651 as Novel Biomarker for Metabolic Dysfunction-Associated Steatotic Liver Disease.Gastro hep advances · 2026Article
- miRNAs and Hematological Markers in Non-Alcoholic Fatty Liver Disease-A New Diagnostic Path?Biomedicines · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is often asymptomatic and underdiagnosed; consequently, there is a demand for simple, non-invasive diagnostic tools. In this study, we developed a method to quantify liver steatosis based on miRNAs, present in liver and serum, that correlate with liver fat. The miRNAs were analyzed by miRNAseq in liver samples from two cohorts of patients with a precise quantification of liver steatosis. Common miRNAs showing correlation with liver steatosis were validated by RT-qPCR in paired liver and serum samples. Multivariate models were built using partial least squares (PLS) regression to predict the percentage of liver steatosis from serum miRNA levels. Leave-one-out cross validation and external validation were used for model selection and to estimate predictive performance. The miRNAseq results disclosed (a) 144 miRNAs correlating with triglycerides in a set of liver biobank samples (
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Registered trials
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