Podrobná bibliografie
| Název: |
Utility of Human Relevant Preclinical Animal Models in Navigating NAFLD to MAFLD Paradigm. |
| Autoři: |
Chua, Damien, Low, Zun Siong, Cheam, Guo Xiang, Ng, Aik Seng, Tan, Nguan Soon |
| Zdroj: |
International Journal of Molecular Sciences; Dec2022, Vol. 23 Issue 23, p14762, 47p |
| Témata: |
FATTY liver, NON-alcoholic fatty liver disease, ANIMAL models in research, DISEASE progression, HEPATIC fibrosis |
| Abstrakt: |
Fatty liver disease is an emerging contributor to disease burden worldwide. The past decades of work established the heterogeneous nature of non-alcoholic fatty liver disease (NAFLD) etiology and systemic contributions to the pathogenesis of the disease. This called for the proposal of a redefinition in 2020 to that of metabolic dysfunction-associated fatty liver disease (MAFLD) to better reflect the current understanding of the disease. To date, several clinical cohort studies comparing NAFLD and MAFLD hint at the relevancy of the new nomenclature in enriching for patients with more severe hepatic injury and extrahepatic comorbidities. However, the underlying systemic pathogenesis is still not fully understood. Preclinical animal models have been imperative in elucidating key biological mechanisms in various contexts, including intrahepatic disease progression, interorgan crosstalk and systemic dysregulation. Furthermore, they are integral in developing novel therapeutics against MAFLD. However, substantial contextual variabilities exist across different models due to the lack of standardization in several aspects. As such, it is crucial to understand the strengths and weaknesses of existing models to better align them to the human condition. In this review, we consolidate the implications arising from the change in nomenclature and summarize MAFLD pathogenesis. Subsequently, we provide an updated evaluation of existing MAFLD preclinical models in alignment with the new definitions and perspectives to improve their translational relevance. [ABSTRACT FROM AUTHOR] |
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| Databáze: |
Complementary Index |