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February 24, 2023World Journal of Hepatology67 citationsOpen Access

Antioxidant and anti-inflammatory agents in chronic liver diseases: Molecular mechanisms and therapy

CZChunye ZhangSLShuai LiuMYMing Yang

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Abstract

Alcohol-associated liver disease (ALD) is a major public health issue that significantly contributes to human morbidity and mortality, with no FDA-approved therapeutic intervention available.The health burden of ALD has worsened during the COVID-19 pandemic, which has been associated with a spike in alcohol abuse, and a subsequent increase in hospitalization rates for ALD.A key knowledge gap that underlies the lack of novel therapies for ALD is a need to better understand the pathogenic mechanisms that contribute to ALD initiation, particularly with respect to hepatic lipid accumulation and the development of fatty liver, which is the first step in the ALD spectrum.The goal of this review is to evaluate the existing literature to gain insight into the pathogenesis of alcoholassociated fatty liver, and to synthesize alcohol's known effects on hepatic lipid metabolism.To achieve this goal, we specifically focus on studies from transgenic mouse models of ALD, allowing for a genetic dissection of alcohol's effects, and integrate these findings with our current understanding of ALD pathogenesis.Existing studies using transgenic mouse models of ALD have revealed roles for specific genes involved in hepatic lipid metabolic pathways including fatty acid uptake, mitochondrial βoxidation, de novo lipogenesis, triglyceride metabolism, and lipid droplet formation.In addition to reviewing this literature, we conclude by identifying current gaps in our understanding of how alcohol abuse impairs hepatic lipid metabolism and identify future directions to address these gaps.In summary, transgenic mice provide a powerful tool to understand alcohol's effect on hepatic lipid metabolism and highlight that alcohol abuse has diverse effects that contribute to the development of alcoholassociated fatty liver disease.

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Zhang et al. (2023) studied this question.

synapsesocial.com/papers/6a7018a9ac440176ef28beb4https://doi.org/10.4254/wjh.v15.i2.180
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