Tao Min, Zhou Guanghong, Liu Jing, He Miao, Wang Cong, Luo Xie, Zhang Lili
Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Clin Endocrinol (Oxf). 2023 Oct;99(4):370-377. doi: 10.1111/cen.14953. Epub 2023 Aug 10.
Observational studies have shown that visceral adipose tissue (VAT) can increase the risk of nonalcoholic fatty liver disease (NAFLD). However, the causality of this association remains unclear. Therefore, this study aimed to explore the causal association between VAT and NAFLD.
We obtained single-nucleotide polymorphisms strongly associated with VAT (n = 325,153) from large-scale genome-wide association studies. Summary-level data for NAFLD (2275 cases and 375,002 controls) was available from the FinnGen consortium. We applied two-sample Mendelian randomization (MR) to determine the causal association between VAT and NAFLD. The random-effects inverse-variance weighted (IVW) method was used as the main MR approach, with alternate methods including the weighted median (WM) approach and MR-Egger regression. In addition, we conducted sensitivity analyses to assess the robustness of MR analyses.
Genetically predicted higher VAT mass is causally associated with a higher risk of NAFLD. The three analysis results of MR were as follows: IVW (β = 0.665, odds ratio [OR] = 1.944, 95% confidence interval [CI] = 1.482-2.550, p = 1.58e-06], WM (β = 0.615, OR = 1.849, 95% CI = 1.272-2.689, p = 1.29e-03), and MR-Egger (β = 1.250, OR = 3.490, 95% CI = 1.522-7.998, p = 3.52e-03). In the sensitivity analysis, the data showed heterogeneity (p < 0.05) but no pleiotropy (p = 0.145).
This study provided genetic evidence that higher VAT mass causally associated with a higher risk of NAFLD. The amount of VAT could be reduced using a therapeutic strategy for managing NAFLD.
观察性研究表明,内脏脂肪组织(VAT)会增加非酒精性脂肪性肝病(NAFLD)的风险。然而,这种关联的因果关系仍不明确。因此,本研究旨在探讨VAT与NAFLD之间的因果关联。
我们从大规模全基因组关联研究中获得了与VAT密切相关的单核苷酸多态性(n = 325,153)。非酒精性脂肪性肝病的汇总数据(2275例病例和375,002例对照)可从芬兰基因联盟获得。我们应用两样本孟德尔随机化(MR)来确定VAT与NAFLD之间的因果关联。随机效应逆方差加权(IVW)方法用作主要的MR方法,替代方法包括加权中位数(WM)方法和MR-Egger回归。此外,我们进行了敏感性分析,以评估MR分析的稳健性。
基因预测的较高VAT质量与较高的NAFLD风险存在因果关联。MR的三个分析结果如下:IVW(β = 0.665,比值比[OR] = 1.944,95%置信区间[CI] = 1.482 - 2.550,p = 1.58e-06),WM(β = 0.615,OR = 1.849,95% CI = 1.272 - 2.689,p = 1.29e-03),以及MR-Egger(β = 1.250,OR = 3.490,95% CI = 1.522 - 7.998,p = 3.52e-03)。在敏感性分析中,数据显示存在异质性(p < 0.05)但不存在多效性(p = 0.145)。
本研究提供了基因证据,表明较高的VAT质量与较高的NAFLD风险存在因果关联。可以采用治疗NAFLD的策略来减少VAT的量。