膳食脂肪的数量和组成影响人类肝脏脂质代谢和代谢性疾病的风险。

IF 3.3 3区 医学 Q2 CELL BIOLOGY Disease Models & Mechanisms Pub Date : 2025-01-01 Epub Date: 2025-01-29 DOI:10.1242/dmm.050878
Nikola Srnic, Felix Westcott, Eleanor Caney, Leanne Hodson
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引用次数: 0

摘要

肝内甘油三酯(IHTG)在肝脏中的过度积累是代谢性疾病的危险因素,包括2型糖尿病和心血管疾病。由于脂肪在肝脏的输送、合成、储存和处置方面的不平衡,IHTG可能会过度积累。尽管肥胖与IHTG积累密切相关,但新出现的证据表明,膳食脂肪的组成及其数量在介导IHTG积累中起着重要作用。来自人体横断面和干涉性研究的证据表明,与其他脂肪类型和碳水化合物相比,富含饱和脂肪的饮食对IHTG含量的影响不同。然而,这些观察结果的机制原因尚不清楚。考虑到在人类中研究这种机制的挑战,需要能够概括人类肝细胞脂肪酸代谢的细胞模型。在这里,我们回顾了从人类研究中已知的膳食脂肪,其数量和组成如何促进IHTG的积累。我们还从细胞模型中产生的数据中探索脂肪酸组成对肝细胞脂肪代谢的影响,以帮助解释在体内研究中观察到的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Dietary fat quantity and composition influence hepatic lipid metabolism and metabolic disease risk in humans.

The excessive accumulation of intrahepatic triglyceride (IHTG) in the liver is a risk factor for metabolic diseases, including type 2 diabetes and cardiovascular disease. IHTG can excessively accumulate owing to imbalances in the delivery, synthesis, storage and disposal of fat to, in and from the liver. Although obesity is strongly associated with IHTG accumulation, emerging evidence suggests that the composition of dietary fat, in addition to its quantity, plays a role in mediating IHTG accumulation. Evidence from human cross-sectional and interventional studies indicates that diets enriched with saturated fat compared to other fat types and carbohydrates produce divergent effects on IHTG content. However, the mechanistic reasons for these observations remain unknown. Given the challenges of investigating such mechanisms in humans, cellular models are needed that can recapitulate human hepatocyte fatty acid metabolism. Here, we review what is known from human studies about how dietary fat, its quantity and composition contribute to IHTG accumulation. We also explore the effects of fatty acid composition on hepatocellular fat metabolism from data generated in cellular models to help explain the divergences observed in in vivo studies.

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来源期刊
Disease Models & Mechanisms
Disease Models & Mechanisms 医学-病理学
CiteScore
6.60
自引率
7.00%
发文量
203
审稿时长
6-12 weeks
期刊介绍: Disease Models & Mechanisms (DMM) is an online Open Access journal focusing on the use of model systems to better understand, diagnose and treat human disease.
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