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Exploring Transcriptomic and MRI-Derived Parameters Correlations in NAFLD Fibrosis: Insights from a Rat Model
Yao Liang1,2, Na Hu1, Xing Xia1
1Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Digestive Diseases and Sciences
|November 15, 2025
Summary
This study identifies key genes and metabolic pathways involved in nonalcoholic fatty liver disease (NAFLD) fibrosis progression. Findings suggest potential correlations between these molecular markers and MRI parameters for non-invasive diagnosis.
Area of Science:
- Hepatology
- Molecular Biology
- Biomedical Imaging
Background:
- Nonalcoholic fatty liver disease (NAFLD) affects 25% of adults, contributing significantly to liver disease morbidity and mortality.
- Molecular mechanisms of NAFLD-related liver fibrosis are not fully understood.
- Limited research integrates transcriptomic data with MRI parameters for NAFLD fibrosis.
Purpose of the Study:
- To develop an animal model for NAFLD-related liver fibrosis.
- To integrate transcriptomics and MRI techniques to explore fibrosis mechanisms.
- To correlate molecular mechanisms with MRI-derived parameters.
Main Methods:
- Utilized 24 Sprague-Dawley rats to model non-advanced and advanced NAFLD fibrosis.
- Employed RNA sequencing and weighted gene co-expression network analysis to identify fibrosis-associated genes.
- Performed MRI scans (T2, T2*, R2*, proton density fat fraction) and correlated findings with gene expression data.
Main Results:
- Identified 11 hub genes (e.g., Loc100365810, Acin1, Clk2) in NAFLD fibrosis.
- Validated differential expression of KDM4A, DNASE1L3, and Eif5a between fibrosis stages.
- Discovered significant associations between hub genes and MRI parameters, highlighting roles in apoptosis and metabolic pathways.
Conclusions:
- Preliminary identification of hub genes and metabolic pathways linked to NAFLD fibrosis stages.
- Suggests potential correlations between molecular markers and MRI parameters for non-invasive diagnostics.
- Emphasizes the need for further validation in larger cohorts and human samples for clinical relevance.

