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Updated: May 12, 2026

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
Published on: March 24, 2023
Genomic aspects of NAFLD pathogenesis.
Adviti Naik1, Rok Košir, Damjana Rozman
1Faculty of Computer Sciences and Informatics, Tržaška Cesta 25, Ljubljana 1000, University of Ljubljana, Slovenia.
Non-alcoholic fatty liver disease (NAFLD) is a global health issue, often progressing to liver cancer. Identifying reliable biomarkers for NAFLD progression remains a challenge, requiring further research into factors like circadian rhythms.
Area of Science:
- Hepatology and metabolic disease research.
Background:
- Non-alcoholic fatty liver disease (NAFLD) is the most common liver condition globally and a key feature of metabolic syndrome.
- NAFLD encompasses a spectrum from simple steatosis to non-alcoholic steatohepatitis (NASH), potentially leading to cirrhosis and hepatocellular carcinoma (HCC).
- The rising prevalence of NAFLD is linked to an increase in HCC cases.
Purpose of the Study:
- To explore the factors influencing NAFLD progression and its link to HCC.
- To discuss the potential of genetic and molecular pathways as biomarkers for NAFLD.
- To highlight the limitations in current biomarker discovery and suggest future research directions.
Main Methods:
- Review of gene expression profiling and genome-wide association studies (GWAS).
- Analysis of factors contributing to NAFLD progression, including genetics, environment, lifestyle, and metabolic syndrome.
- Consideration of emerging research areas like circadian regulation in hepatic metabolism.
Main Results:
- Gene expression and GWAS studies have identified potential pathways and genetic polymorphisms associated with NAFLD.
- The complex, multifactorial nature of NAFLD presents challenges for identifying clinically useful biomarkers.
- Current research limitations include the multifactorial etiology and insufficient powered studies.
Conclusions:
- Validated biomarkers for NAFLD progression and clinical utility are currently limited.
- Further investigation into the interplay between circadian regulation and hepatic metabolism may yield predictive biomarkers.
- Understanding these pathways is crucial for predicting liver disease progression and treatment outcomes.
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