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代谢性和酒精性脂肪性肝病的实验模型

Experimental models of metabolic and alcoholic fatty liver disease.

作者信息

Buyco Delfin Gerard, Martin Jasmin, Jeon Sookyoung, Hooks Royce, Lin Chelsea, Carr Rotonya

机构信息

Division of Gastroenterology, University of Pennsylvania, Philadelphia, PA 19104, United States.

出版信息

World J Gastroenterol. 2021 Jan 7;27(1):1-18. doi: 10.3748/wjg.v27.i1.1.

Abstract

Non-alcoholic fatty liver disease (NAFLD) is a multi-systemic disease that is considered the hepatic manifestation of metabolic syndrome (MetS). Because alcohol consumption in NAFLD patients is common, there is a significant overlap in the pathogenesis of NAFLD and alcoholic liver disease (ALD). Indeed, MetS also significantly contributes to liver injury in ALD patients. This "syndrome of metabolic and alcoholic steatohepatitis" (SMASH) is thus expected to be a more prevalent presentation in liver patients, as the obesity epidemic continues. Several pre-clinical experimental models that couple alcohol consumption with NAFLD-inducing diet or genetic obesity have been developed to better understand the pathogenic mechanisms of SMASH. These models indicate that concomitant MetS and alcohol contribute to lipid dysregulation, oxidative stress, and the induction of innate immune response. There are significant limitations in the applicability of these models to human disease, such as the ability to induce advanced liver injury or replicate patterns in human food/alcohol consumption. Thus, there remains a need to develop models that accurately replicate patterns of obesogenic diet and alcohol consumption in SMASH patients.

摘要

非酒精性脂肪性肝病(NAFLD)是一种多系统疾病,被认为是代谢综合征(MetS)的肝脏表现。由于NAFLD患者饮酒很常见,NAFLD和酒精性肝病(ALD)的发病机制存在显著重叠。事实上,MetS在ALD患者的肝损伤中也起着重要作用。随着肥胖症的流行,这种“代谢性和酒精性脂肪性肝炎综合征”(SMASH)预计在肝病患者中会更普遍。已经开发了几种将饮酒与诱导NAFLD的饮食或遗传性肥胖相结合的临床前实验模型,以更好地了解SMASH的致病机制。这些模型表明,MetS和酒精共同作用导致脂质失调、氧化应激和先天免疫反应的诱导。这些模型在应用于人类疾病方面存在显著局限性,例如诱导晚期肝损伤或复制人类食物/酒精消费模式的能力。因此,仍然需要开发能够准确复制SMASH患者致肥饮食和酒精消费模式的模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df77/7789066/418ab4e0ae26/WJG-27-1-g001.jpg

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