NAFLD与脑功能连通性之间因果关系的遗传证据

Xiao Li, Virgia Wang
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引用次数: 0

摘要

全球每年约有200万人死于肝病[1]。非酒精性脂肪性肝病(Non-Alcoholic Fatty liver Disease, NAFLD)是最常见的肝脏疾病之一,指的是很少或不饮酒,但肝脏细胞中脂肪储存过多的一系列肝脏疾病。过去的研究已经很好地确立了NAFLD与大脑之间存在的相关性。NAFLD已被发现与脑危险因素相关,包括脑病变、脑灌注和脑活动改变[2],以及某些脑表型,如脑容量[3]和白质高强度(WMH)[4]。更好地了解这种关联可能会导致风险管理的改善,或者至少为寻找两者之间相关性的解释奠定基础,这可能意味着实际意义。在本研究中,我们通过孟德尔随机化(Mendelian Randomization, MR)整合了两个全基因组关联研究(Genome-wide Association Studies, GWAS)脑特征与NAFLD的磁共振成像(MRI)数据集,旨在确定NAFLD与某些脑表型之间的因果关系和因果方向。我们发现,NAFLD的高风险显著降低了负责视觉的大脑区域和与情绪反应相关的大脑区域之间的功能连接(b≈-0.13,pval≈2.3E-05)。富集分析还表明,脑区域之间的功能连通性更容易受到NAFLD的影响,而结构连通性(通过dMRI测量)不太可能受到影响。总之,我们的研究结果为NAFLD与大脑表型之间的关联提供了系统的评估,并优先考虑了容易受到NAFLD影响的功能连通性,这可能为NAFLD诱导的大脑疾病的临床诊断和治疗提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic evidence for the causal relationship between NAFLD and brain functional connectivity
Liver disease is responsible for approximately 2 million deaths each year worldwide [1]. As one of the most prevalent liver diseases, Non-Alcoholic Fatty Liver Disease (NAFLD) is a term for a range of liver conditions affecting patients who drink little or no alcohol, but have over-storage of fat in their liver cells. The correlation existing between NAFLD and the brain has been well established by past studies. NAFLD has been found to be associated with cerebral risk factors including brain lesions, alterations in cerebral perfusion and activity [2], as well as certain brain phenotypes, such as cerebral brain volume [3] and White Matter Hyperintensities (WMH) [4]. A better knowledge of the association could lead to an improved management of risk, or at least lay a foundation for finding explanations for those correlation between the two, implying possible practical implications. In this study, we integrated two Genome-wide Association Studies (GWAS) datasets of Magnetic Resonance Imaging (MRI) of brain traits and NAFLD through Mendelian Randomization (MR), aiming to determine causal relationship as well as the direction of causality between NAFLD and certain brain phenotypes. We found that the functional connectivity between the brain region responsible for vision and that associated with emotional responses is significantly reduced by a higher risk of NAFLD (b≈-0.13, pval≈2.3E-05). The enrichment analysis also shows that the functional connectivity between brain regions is more likely to be affected by NAFLD, while the structural connectivity (measured by dMRI) is less likely to be influenced. Together our result provides a systematic evaluation for the association between NAFLD and brain phenotypes, and prioritizes the functional connectivity that tends to be affected by NAFLD, which could offer insight for the clinical diagnosis and treatment of NAFLD-induced cerebral disorders.
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