Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA.
Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
J Hepatol. 2024 Sep;81(3):379-388. doi: 10.1016/j.jhep.2024.03.045. Epub 2024 Apr 4.
BACKGROUND & AIMS: Steatotic liver disease (SLD), characterized by elevated liver fat content (LFC), is influenced by genetics and diet. However, whether diet has a differential effect based on genetic risk is not well-characterized. We aimed to determine how genetic factors interact with diet to affect SLD in a large national biobank.
We included UK Biobank participants with dietary intake measured by 24-hour recall and genotyping. The primary predictors were dietary pattern, PNPLA3-rs738409-G, TM6SF2-rs58542926-T, a 16-variant hepatic steatosis polygenic risk score (PRS), and gene-environment interactions. The primary outcome was LFC, and secondary outcomes were iron-controlled T1 time (cT1, a measure of liver inflammation and fibrosis) and liver-related events/mortality.
A total of 21,619 participants met inclusion criteria. In non-interaction models, Mediterranean diet and intake of fruit/vegetables/legumes and fish associated with lower LFC, while higher red/processed meat intake and all genetic predictors associated with higher LFC. In interaction models, all genetic predictors interacted with Mediterranean diet and fruit/vegetable/legume intake, while the steatosis PRS interacted with fish intake and the TM6SF2 genotype interacted with red/processed meat intake, to affect LFC. Dietary effects on LFC were up to 3.8-fold higher in PNPLA3-rs738409-GG vs. -CC individuals, and 1.4-3.0-fold higher in the top vs. bottom quartile of the steatosis PRS. Gene-diet interactions were stronger in participants with vs. without overweight. The steatosis PRS interacted with Mediterranean diet and fruit/vegetable/legume intake to affect cT1 and most dietary and genetic predictors associated with risk of liver-related events or mortality by age 70.
Effects of diet on LFC and cT1 were markedly accentuated in patients at increased genetic risk for SLD, implying dietary interventions may be more impactful in these populations.
Genetic variants and diet both influence risk of hepatic steatosis, inflammation/fibrosis, and hepatic decompensation; however, how gene-diet interactions influence these outcomes has previously not been comprehensively characterized. We investigated this topic in the community-based UK Biobank and found that genetic risk and dietary quality interacted to influence hepatic steatosis and inflammation/fibrosis on liver MRI, so that the effects of diet were greater in people at elevated genetic risk. These results are relevant for patients and medical providers because they show that genetic risk is not fixed (i.e. modifiable factors can mitigate or exacerbate this risk) and realistic dietary changes may result in meaningful improvement in liver steatosis and inflammation/fibrosis. As genotyping becomes more routinely used in clinical practice, patients identified to be at high baseline genetic risk may benefit even more from intensive dietary counseling than those at lower risk, though future prospective studies are required.
脂肪性肝病(SLD)的特征是肝内脂肪含量升高(LFC),受遗传和饮食的影响。然而,饮食是否基于遗传风险产生不同的影响尚未得到很好的描述。我们旨在确定遗传因素如何与饮食相互作用,从而在一个大型国家生物库中影响 SLD。
我们纳入了 UK Biobank 中通过 24 小时回忆和基因分型测量饮食摄入的参与者。主要预测因子是饮食模式、PNPLA3-rs738409-G、TM6SF2-rs58542926-T、16 个变体的肝脂肪变性多基因风险评分(PRS)以及基因-环境相互作用。主要结局是 LFC,次要结局是铁控制 T1 时间(cT1,衡量肝脏炎症和纤维化的指标)和与肝脏相关的事件/死亡率。
共有 21619 名参与者符合纳入标准。在非交互模型中,地中海饮食和水果/蔬菜/豆类和鱼类的摄入与较低的 LFC 相关,而较高的红色/加工肉类摄入和所有遗传预测因子与较高的 LFC 相关。在交互模型中,所有遗传预测因子均与地中海饮食和水果/蔬菜/豆类摄入相互作用,而 steatosis PRS 与鱼类摄入相互作用,TM6SF2 基因型与红色/加工肉类摄入相互作用,从而影响 LFC。在 PNPLA3-rs738409-GG 个体与 -CC 个体之间,饮食对 LFC 的影响高达 3.8 倍,在 steatosis PRS 的最高与最低四分位数之间,饮食对 LFC 的影响高达 1.4-3.0 倍。在有或没有超重的参与者中,基因-饮食相互作用更强。steatosis PRS 与地中海饮食和水果/蔬菜/豆类摄入相互作用,影响 cT1 和大多数与 70 岁前与肝脏相关的事件或死亡率相关的饮食和遗传预测因子。
饮食对 LFC 和 cT1 的影响在 SLD 遗传风险增加的患者中明显加剧,这意味着饮食干预在这些人群中可能更具影响力。
遗传变异和饮食都会影响肝脂肪变性、炎症/纤维化和肝失代偿的风险;然而,基因-饮食相互作用如何影响这些结果以前尚未得到全面描述。我们在基于社区的 UK Biobank 中研究了这个问题,发现遗传风险和饮食质量相互作用,影响肝脏 MRI 上的肝脂肪变性和炎症/纤维化,因此在遗传风险升高的人群中,饮食的影响更大。这些结果与患者和医疗服务提供者有关,因为它们表明遗传风险并非固定不变(即,可改变的因素可以减轻或加剧这种风险),而现实的饮食改变可能会导致肝脂肪变性和炎症/纤维化的显著改善。随着基因分型在临床实践中越来越普遍,被确定为高基线遗传风险的患者可能比低风险患者从强化饮食咨询中获益更多,尽管还需要进一步的前瞻性研究。