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Ex Vivo Tools and Models in MASLD Research
Rallia-Iliana Velliou1, Eirini Giannousi1, Christiana Ralliou1
1Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str., 11527 Athens, Greece.
Cells
|November 27, 2024
Summary
Advanced ex vivo models like liver-on-a-chip systems are crucial for understanding metabolic dysfunction-associated fatty liver disease (MASLD) and developing new therapies. These tools accelerate drug discovery and reduce the need for animal testing in MASLD research.
Area of Science:
- Hepatology
- Translational Medicine
- Biomedical Engineering
Background:
- Metabolic dysfunction-associated fatty liver disease (MASLD) is a significant and growing global health concern.
- Current therapeutic options for MASLD are limited, highlighting an urgent need for research and development.
- Understanding the complex pathophysiology of MASLD is essential for identifying effective treatments.
Purpose of the Study:
- To review and highlight the utility of advanced ex vivo models in MASLD research.
- To explore the potential of these models in accelerating the discovery of novel therapeutic targets and biomarkers.
- To emphasize the role of innovative methodologies in addressing unmet clinical needs in MASLD.
Main Methods:
- Review of ex vivo research tools for MASLD, including liver-on-a-chip (LoC) systems.
- Discussion of organoid-derived tissue-like structures as research models.
- Analysis of human precision-cut liver slice (PCLS) systems in MASLD studies.
Main Results:
- Ex vivo models offer a promising avenue for studying MASLD pathophysiology.
- These advanced systems can enhance understanding of disease mechanisms.
- Innovative methodologies facilitate the development of potential MASLD therapies.
Conclusions:
- Advanced ex vivo models are pivotal for enhancing MASLD research and drug discovery.
- These models show potential in reducing reliance on in vivo studies.
- The application of these tools can expedite the identification of therapeutic strategies for MASLD.
