ArticleJournal, genetic engineering & biotechnology2021
NAFLD mark: an accurate model based on microRNA-34 for diagnosis of non-alcoholic fatty liver disease patients.
Article in Journal, genetic engineering & biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The use of circulating miRNAs for the diagnosis, prognosis, and personalized treatment of MASLD.Journal of physiology and biochemistry · 2025Pooled it
- MicroRNAs in Metabolic Dysfunction-Associated Steatotic Liver Disease: A Systematic Review of Clinical Studies.MicroRNA (Shariqah, United Arab Emirates) · 2025Pooled it
- Omega-3 fatty acids improve lipid metabolism by regulating miR-34a.Scientific reports · 2026Article
- Dual Regulation and Clinical Application of miR-34 in Virus-Related Tumors Through Anti-Viral Immunity and Tumor Suppression.Drug design, development and therapy · 2025Review
- MicroRNA: A Novel Class of Potential Biomarkers and Therapeutic Target for Non-Alcoholic Fatty Liver Disease/Nonalcoholic Steatohepatitis.MicroRNA (Shariqah, United Arab Emirates) · 2025Review
- Machine-Learning Application for Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease Using Laboratory and Body Composition Indicators.Archives of Iranian medicine · 2024Article
- Non-alcoholic fatty liver disease (NAFLD) and mental illness: Mechanisms linking mood, metabolism and medicines.Frontiers in neuroscience · 2022Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt remains essential for non-alcoholic fatty liver (NAFLD) patients, to develop a sensitive and specific diagnostic model. Data regarding the use of micro (mi)RNA-34 for NAFLD diagnosis are few. Routine clinical assessment, laboratory tests were done for Egyptian individuals (n = 314) were included (100 healthy individuals and 214 NAFLD patients). Quantification of miRNA-34 was done using real-time PCR. Extremely significant variables were entered into stepwise logistic regression. The diagnostic power of variables was estimated by the area under the ROC (AUC).
resultsMiRNA-34 levels were higher in NAFLD patients than healthy individuals with a significant difference (P< 0.0001). The multivariate analysis was used to evaluate the NAFLD-associated variables (CRP, cholesterol, body mass index (BMI), ALT had p< 0.0001 while mRNA-34 had (p=0.0004). The AUCs (CI) of candidate NAFLD markers were in the order of miRNA-34 0.72 (0.66-0.77) < ALT 0.73 (0.67-0.79) < BMI 0.81 (0.76-0.86) < cholesterol < 0.85 (0.79-0.90) < CRP 0.88 (0.84-0.92). We developed a novel index for discriminating patients with NAFLD named NAFLD Mark. AUC was jumped to 0.98 (0.93-0.99) when five markers were combined. The AUC of NAFLD mark for NAFLD detection was higher than the AUCs of seven common NAFLD indexes (0.44-0.86).
conclusionsThe NAFLD mark is a non-invasive and highly sensitive and specific model for NAFLD diagnosis.
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