Xie Weining, Hong Yan, Chen Xinrong, Wang Shujuan, Zhang Fan, Chi Xiaoling
The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Infectious Disease Department, Guangdong Provincial Hospital of Integrated Traditional Chinese and Western Medicine, Foshan, Guangdong Province, China.
Front Nutr. 2024 Nov 1;11:1426749. doi: 10.3389/fnut.2024.1426749. eCollection 2024.
Obesity often coincides with non-alcoholic fatty liver disease (NAFLD), yet a significant portion of NAFLD patients exhibit normal body mass index (BMI) but have abdominal obesity. Recognizing this discrepancy, we aimed to delve deeper into this phenomenon through observational studies coupled with two-sample Mendelian randomization (MR) analysis, with waist-to-hip ratio (WHR) serving as the indicator for abdominal obesity. Our objective was to ascertain whether WHR correlates with an increased risk of NAFLD development.
This study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018 to examine the association between WHR and NAFLD through weighted multivariate logistic regression models. On this basis, subgroup analyses were performed to further explore the correlation between WHR and NAFLD. Subsequently, a two-sample MR analysis was conducted using genome-wide association studies (GWAS) data to investigate the potential causal relationship between WHR and NAFLD. Sensitivity analyses were also employed to ensure the robustness of our findings.
A total of 3,732 eligible participants were included in the analysis. Weighted multivariable-adjusted logistic regression models revealed a positive association between WHR and the risk of NAFLD (Q2vsQ1: OR = 1.94 [95% CI: 1.55-2.44]; Q3vsQ1: OR = 2.08 [95% CI: 1.51-2.85]; Q4vsQ1: OR = 3.70 [95% CI: 2.13-6.43], < 0.05). The results of the subgroup analysis suggested that there was an interaction in the correlation between WHR and NAFLD in normal weight, overweight, and obese populations ( < 0.05). The RCS curves indicated that there was a nonlinear relationship between WHR and NAFLD in populations with BMI in the normal versus obese categories. Furthermore, MR analysis provided additional support for the causal relationship between WHR and NAFLD. Using inverse variance weighting (IVW), the MR analysis yielded an OR of 2.062 (95% CI: 1.680-2.531, <0.05). Consistent results were obtained with the other four MR methods, all supporting the same direction of causality. Sensitivity analyses were performed to assess the robustness of the findings ( > 0.5), further reinforcing the reliability of the observed associations.
WHR elevation heightens the susceptibility to NAFLD.
肥胖常与非酒精性脂肪性肝病(NAFLD)同时出现,但相当一部分NAFLD患者的体重指数(BMI)正常,却存在腹型肥胖。认识到这一差异后,我们旨在通过观察性研究结合两样本孟德尔随机化(MR)分析,深入探究这一现象,以腰臀比(WHR)作为腹型肥胖的指标。我们的目的是确定WHR是否与NAFLD发生风险增加相关。
本研究利用2017 - 2018年美国国家健康与营养检查调查(NHANES)的数据,通过加权多变量逻辑回归模型检验WHR与NAFLD之间的关联。在此基础上,进行亚组分析以进一步探讨WHR与NAFLD之间的相关性。随后,使用全基因组关联研究(GWAS)数据进行两样本MR分析,以研究WHR与NAFLD之间的潜在因果关系。还进行了敏感性分析以确保研究结果的稳健性。
共有3732名符合条件的参与者纳入分析。加权多变量调整逻辑回归模型显示WHR与NAFLD风险之间存在正相关(Q2 vs Q1:OR = 1.94 [95% CI:1.55 - 2.44];Q3 vs Q1:OR = 2.08 [95% CI:1.51 - 2.85];Q4 vs Q1:OR = 3.70 [95% CI:2.13 - 6.43],P < 0.05)。亚组分析结果表明,在正常体重、超重和肥胖人群中,WHR与NAFLD之间的相关性存在交互作用(P < 0.05)。限制立方样条(RCS)曲线表明,在BMI正常与肥胖类别的人群中,WHR与NAFLD之间存在非线性关系。此外,MR分析为WHR与NAFLD之间的因果关系提供了额外支持。使用逆方差加权(IVW),MR分析得出的OR为2.062(95% CI:1.680 - 2.531,P < 0.05)。其他四种MR方法也得到了一致的结果,均支持相同方向的因果关系。进行敏感性分析以评估研究结果的稳健性(I2 > 0.5),进一步加强了观察到的关联的可靠性。
WHR升高会增加患NAFLD的易感性。