ArticleJHEP reports : innovation in hepatology2025
Liver fibrosis progression analyzed with AI predicts renal decline.
Article in JHEP reports : innovation in hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- From bench to bedside: Molecular mechanisms, diagnostic tools, and therapeutic strategies in liver fibrosis.Liver research (Beijing, China) · 2026Review
- The Metabolic Dysfunction-Associated Steatotic Liver Disease-CKD Axis: Intersecting Pathways and Opportunities for Early Intervention.Kidney international reports · 2026Review
- Statistical precision ofJHEP reports : innovation in hepatology · 2026Article
- Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: Transforming diagnosis and therapeutic approaches.World journal of gastroenterology · 2026Review
- AI redefines fibrosis patterns in steatotic liver disease: Opportunities and challenges.Hepatology forum · 2026Article
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Authors and funding
18 authors.
Funding
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Abstract
Background & Aims: The relationship between biopsy-proven liver fibrosis progression and renal function decline in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) has not been fully elucidated. We used an automated quantitative liver fibrosis assessment (qFibrosis) technique to investigate the temporal changes in regional liver fibrosis. Methods: This retrospective longitudinal study included 68 MASLD patients and their paired formalin-fixed sections of liver biopsies. One hundred eighty-four fibrosis parameters were quantified in five different hepatic regions, including portal tract, peri-portal, zone 2, peri-central and central vein regions, and qFibrosis continuous values were calculated for all samples based on 10 fibrosis parameters using qFibrosis assessment. Liver fibrosis progression (QLF Results: The eGFR decline was greater in the QLF Conclusions: A decline in renal function is significantly related to liver fibrosis progression in MASLD. Regional qFibrosis assessment may efficiently predict eGFR decline, thus highlighting the importance of assessing renal function in patients with MASLD with worsening liver fibrosis. Impact and implications: The study shows that liver fibrosis progression assessed by qFibrosis may be associated with renal function decline, which provides a new perspective for understanding complex pathological processes. A combination of artificial intelligence and digital pathology may earlier and more precisely quantify the progression of regional liver fibrosis, thus better identifying changes in renal function. This opens the possibility of early interventions, which are essential to improve patients' outcomes.
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