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Metabolic Dysfunction-Associated Steatohepatitis in Focus: Pathogenesis, Non-Invasive Diagnostics, and Future
Abdulrahman Ismaiel1, Mhd Bashir Almonajjed2, Cristina Sorina Catana3
1Second Department of Internal Medicine, Iuliu Hatieganu, University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Metabolic dysfunction-associated steatohepatitis (MASH) is a serious liver condition. New non-invasive methods are improving MASH detection and fibrosis assessment, offering hope for better patient outcomes.
Area of Science:
- Hepatology and metabolic disease research.
- Development of advanced diagnostic tools for liver conditions.
Background:
- Metabolic dysfunction-associated steatohepatitis (MASH) is the advanced stage of metabolic dysfunction-associated steatotic liver disease (MASLD).
- MASH is linked to obesity, insulin resistance, and metabolic syndrome, posing a significant global health challenge.
- Current diagnostic methods, including liver biopsy, have limitations, necessitating alternative approaches.
Purpose of the Study:
- To review the current understanding of MASH pathophysiology.
- To explore diagnostic challenges and innovative non-invasive strategies for MASH detection and fibrosis evaluation.
- To highlight the importance of updated criteria and multi-omics approaches for risk stratification.
Main Methods:
- Review of current literature on MASH pathophysiology and diagnostics.
- Evaluation of non-invasive diagnostic techniques such as elastography, MRI, and serum biomarkers (e.g., cytokeratin-18, NIS4, FAST scores).
- Discussion of updated MASLD criteria for improved risk stratification.
Main Results:
- Non-invasive techniques show promise for detecting MASH and assessing fibrosis severity.
- Updated MASLD criteria enhance risk stratification, including lean MASH phenotypes.
- Multi-omics approaches are crucial for future personalized MASH management.
Conclusions:
- Advancing non-invasive diagnostics is essential for managing the growing burden of MASH.
- Personalized strategies are needed for early detection, disease halting, and improved patient outcomes.
- Integrating multi-omics data will refine understanding and treatment of MASH.
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