ArticlePloS one2015
Performance of Serum microRNAs -122, -192 and -21 as Biomarkers in Patients with Non-Alcoholic Steatohepatitis.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 5 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
90 citing papers in PubMed, 5 syntheses or guidelines pooled it, 148 citations in OpenAlex.
- The use of circulating miRNAs for the diagnosis, prognosis, and personalized treatment of MASLD.Journal of physiology and biochemistry · 2025Pooled it
- Therapeutic Effects of microRNAs on Nonalcoholic Fatty Liver Disease (NAFLD) and Nonalcoholic Steatohepatitis (NASH): A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2023Pooled it
- Investigating microRNAs to Explain the Link between Cholesterol Metabolism and NAFLD in Humans: A Systematic Review.Nutrients · 2022Pooled it
- Deciphering the role of epigenetic modifications in fatty liver disease: A systematic review.European journal of clinical investigation · 2021Pooled it
- Efficacy of serum miRNA test as a non-invasive method to diagnose nonalcoholic steatohepatitis: a systematic review and meta-analysis.BMC gastroenterology · 2020Pooled it
- Circulating microRNA panels in subjects with metabolic dysfunction-associated steatotic liver disease after following a 2-year dietary intervention.Journal of endocrinological investigation · 2025Trial
- Liquid biopsy: current applications and future directions.Molecular biomedicine · 2026Review
- Altered miRNA Expression Due to Bisphenol A Exposure and Associated Health Implications: A Narrative Review.Journal of xenobiotics · 2026Review
- Extracellular Vesicle-Based miRNA Profiling in Metabolic Dysfunction-Associated Steatotic Liver Disease: A Secondary Analysis of the MULTISITE Clinical Trial.Journal of extracellular biology · 2026Article
- Longitudinal Follow-Up of microRNA Expression During Hepatitis E Virus Infection in Immunocompromised Hosts.Biomolecules · 2026Article
- Noninvasive liver fibrosis assessment in metabolic dysfunction-associated steatotic liver disease.World journal of hepatology · 2026Review
- Identification of Circulating MiR-4651 as Novel Biomarker for Metabolic Dysfunction-Associated Steatotic Liver Disease.Gastro hep advances · 2026Article
- Role of chitinase-3-like protein 1 in liver diseases: A comprehensive review.Genes & diseases · 2025Review
- Protective effect of exercise on metabolic dysfunction‑associated fatty liver disease: Potential epigenetic mechanisms (Review).International journal of molecular medicine · 2025Review
- Extracellular RNAs in Liquid Biopsy: Applications in MASLD and MASH Diagnosis and Monitoring.Diagnostics (Basel, Switzerland) · 2025Review
- A Comparison of Novel Serum Markers of Liver Health in Adolescents With Metabolic Dysfunction-Associated Steatotic Liver Disease.Journal of cellular and molecular medicine · 2025Article
- Unraveling Metabolic Dysfunction-Associated Steatotic Liver Disease Through the Use of Omics Technologies.International journal of molecular sciences · 2025Review
- Insulin resistance, metabolic syndrome and micro-RNA-122 serum level in patients with cerebral venous sinus thrombosis: a case-control study.Thrombosis journal · 2024Article
- A review on cell-free RNA profiling: Insights into metabolic diseases and predictive value for bariatric surgery outcomes.Molecular metabolism · 2024Review
- Non-invasive diagnosis of non-alcoholic fatty liver disease: Current status and future perspective.Heliyon · 2024Review
30 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesLiver biopsies are the current gold standard in non-alcoholic steatohepatitis (NASH) diagnosis. Their invasive nature, however, still carries an increased risk for patients' health. The development of non-invasive diagnostic tools to differentiate between bland steatosis (NAFL) and NASH remains crucial. The aim of this study is the evaluation of investigated circulating microRNAs in combination with new targets in order to optimize the discrimination of NASH patients by non-invasive serum biomarkers.
methodsSerum profiles of four microRNAs were evaluated in two cohorts consisting of 137 NAFLD patients and 61 healthy controls. In a binary logistic regression model microRNAs of relevance were detected. Correlation of microRNA appearance with known biomarkers like ALT and CK18-Asp396 was evaluated. A simplified scoring model was developed, combining the levels of microRNA in circulation and CK18-Asp396 fragments. Receiver operating characteristics were used to evaluate the potential of discriminating NASH.
resultsThe new finding of our study is the different profile of circulating miR-21 in NASH patients (p<0.0001). Also, it validates recently published results of miR-122 and miR-192 to be differentially regulated in NAFL and NASH. Combined microRNA expression profiles with CK18-Asp396 fragment level scoring model had a higher potential of NASH prediction compared to other risk biomarkers (AUROC = 0.83, 95% CI = 0.754-0.908; p<0.001). Evaluation of score model for NAFL (Score = 0) and NASH (Score = 4) had shown high rates of sensitivity (91%) and specificity (83%).
conclusionsOur study defines candidates for a combined model of miRNAs and CK18-Asp396 levels relevant as a promising expansion for diagnosis and in turn treatment of NASH.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.