Manusov Eron G, Diego Vincent P, Abrego Edward, Herklotz Kathryn, Almeida Marcio, Mao Xi, Laston Sandra, Blangero John, Williams-Blangero Sarah
Department of Human Genetics, The University of Texas Rio Grande Valley, Brownsville, TX, United States.
South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, TX, United States.
Med Res Arch. 2023 Sep;11(9). doi: 10.18103/mra.v11i9.4408. Epub 2023 Sep 28.
Non-alcoholic fatty liver disease (NAFLD) encompasses a range of liver conditions, from benign fatty accumulation to severe fibrosis. The global prevalence of NAFLD has risen to 25-30%, with variations across ethnic groups. NAFLD may advance to hepatocellular carcinoma, increases cardiovascular risk, is associated with chronic kidney disease, and is an independent metabolic disease risk factor. Assessment methods for liver health include liver biopsy, magnetic resonance imaging, ultrasound, and vibration-controlled transient elastography (VCTE by FibroScan). Hepatic transaminases are cost-effective and minimally invasive liver health assessment methods options. This study focuses on the interaction between genetic factors underlying the traits (hepatic transaminases and the FibroScan results) on the one hand and the environment (depression) on the other. We examined 525 individuals at risk for metabolic disorders. We utilized variance components models and likelihood-based statistical inference to examine potential GxE interactions in markers of NAFLD, including aspartate aminotransferase (AST), alanine aminotransferase (ALT), and the AST/ALT ratio, and Vibration-Controlled Transient Elastography (VCTE by FibroScan). We calculated the Fibroscan-AST (FAST) score (a score that identifies the risk of progressive non-alcoholic steatohepatitis (NASH) and screened for depression using the Beck Depression Inventory-II (BDI-II). We identified significant G × E interactions for AST/ALT ratio × BDI-II, but not AST, ALT, or the FAST score. Our findings support that genetic factors play a role in hepatic transaminases, especially the AST/ALT ratio, with depression influencing this relationship. These insights contribute to understanding the complex interplay of genetics, environment, and liver health, potentially guiding future personalized interventions.
非酒精性脂肪性肝病(NAFLD)涵盖了一系列肝脏疾病,从良性脂肪堆积到严重纤维化。NAFLD的全球患病率已升至25%-30%,不同种族群体存在差异。NAFLD可能进展为肝细胞癌,增加心血管疾病风险,与慢性肾病相关,并且是一种独立的代谢疾病风险因素。肝脏健康评估方法包括肝活检、磁共振成像、超声以及振动控制瞬时弹性成像(FibroScan的VCTE)。肝转氨酶是具有成本效益且微创的肝脏健康评估方法选项。本研究聚焦于一方面性状(肝转氨酶和FibroScan结果)背后的遗传因素与另一方面环境(抑郁)之间的相互作用。我们对525名有代谢紊乱风险的个体进行了研究。我们利用方差成分模型和基于似然的统计推断来检验NAFLD标志物中潜在的基因-环境(GxE)相互作用,这些标志物包括天冬氨酸转氨酶(AST)、丙氨酸转氨酶(ALT)以及AST/ALT比值,还有振动控制瞬时弹性成像(FibroScan的VCTE)。我们计算了Fibroscan-AST(FAST)评分(一种识别进行性非酒精性脂肪性肝炎(NASH)风险的评分),并使用贝克抑郁量表第二版(BDI-II)筛查抑郁情况。我们发现AST/ALT比值×BDI-II存在显著的G×E相互作用,但AST、ALT或FAST评分不存在这种相互作用。我们的研究结果支持遗传因素在肝转氨酶中起作用,尤其是AST/ALT比值,抑郁会影响这种关系。这些见解有助于理解基因、环境和肝脏健康之间的复杂相互作用,可能为未来的个性化干预提供指导。