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Emerging concepts in the diagnosis and management of metabolically associated steatotic liver disease
New ideas in diagnosing and treating fatty liver disease linked to metabolism
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Abstract
Approximately one-third of the population is impacted by MASLD, highlighting the need for earlier diagnosis and effective treatment strategies.
- Recent advancements emphasize noninvasive diagnostic methods, moving away from invasive biopsy.
- Serum biomarkers like CK-18 and FGF21, along with imaging techniques such as MRI-PDFF and US-FLI, are key to early detection.
- Artificial intelligence and machine learning models may enhance risk stratification for MASLD and MASH.
- Multiomics approaches, including metabolomics and lipidomics, could aid in identifying disease-specific patterns.
- Emerging therapies such as THR β agonists and GLP-1 receptor agonists show potential in reducing liver fat and fibrosis.
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