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单一人体测量指标和体型与非酒精性脂肪性肝病的因果关联:一项孟德尔随机化研究

Causal associations of single anthropometric measures and body shape with nonalcoholic fatty liver disease: A Mendelian randomization study.

作者信息

Zhai Chunxia, Ding Xiaorong, Huang Anqi, Ge Yang, Yang Fan, Ding Yi

机构信息

Department of Public Health, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, Jiangsu, China.

出版信息

Medicine (Baltimore). 2025 Jul 4;104(27):e43108. doi: 10.1097/MD.0000000000043108.

Abstract

The associations between anthropometric measures and nonalcoholic fatty liver disease (NAFLD) risk have been investigated in observational studies, but results were inconsistent. This study conducted the first large-scale Mendelian randomization (MR) analyses to explore causal associations of single anthropometric measures and body shape derived from principal component analysis with the risk of NAFLD. This study utilized two-sample MR with genome-wide association study data from Europeans to investigate the causal relationship between anthropometric measures, body shape, and NAFLD. Body shape is defined by principal component analysis taken from 6 anthropometric measures (body mass index [BMI], weight, height, waist circumference [WC], hip circumference [HC], and waist-to-hip ratio [WHR]). Instrumental variables were single-nucleotide polymorphisms with P < 5 × 10-8, and data harmonization was performed. To assess result robustness, sensitivity analyses (MR-Egger, weighted median, leave-one-out analysis), and outlier detection (Mendelian Randomization Pleiotropy Residual Sum and Outlier) were conducted, alongside heterogeneity evaluation (Cochran Q test). Scatter and funnel plots were utilized to assess the exposure-outcome relationship and causal estimate consistency. The results of inverse-variance weighted analyses demonstrated that BMI (OR = 1.547, 95 CI% = 1.215-1.972, P < .001), weight (OR = 1.461, 95 CI% = 1.247-1.711, P < .001), WC (OR = 1.365, 95 CI% = 1.012-1.842, P = .042), HC (OR = 1.453, 95 CI% = 1.122-1.882, P = .005), WHR (OR = 2.765, 95 CI% = 1.931-3.957, P < .001), and WHR adjusted for BMI (OR = 2.226, 95 CI% = 1.639-3.024, P < .001) were positively related to NAFLD risk. In terms of body shape, the results of inverse-variance weighted (OR = 0.934, 95 CI% = 0.900-0.970, P < .001) and MR-Egger (OR = 0.890, 95 CI% = 0.810-0.978, P = .016) showed that PC3 (a tall, centrally obese body shape) was negatively associated with NAFLD. This study indicated that BMI, weight, WC, and HC were positively associated with NAFLD risk. WHR adjusted for BMI may be a more reliable predictor of NAFLD risk than WHR. A body shape related to tall individuals with centrally obese was inversely associated with NAFLD risk.

摘要

观察性研究已对人体测量指标与非酒精性脂肪性肝病(NAFLD)风险之间的关联进行了调查,但结果并不一致。本研究开展了首次大规模孟德尔随机化(MR)分析,以探究单一人体测量指标以及通过主成分分析得出的体型与NAFLD风险之间的因果关联。本研究利用两样本MR以及来自欧洲人的全基因组关联研究数据,来调查人体测量指标、体型与NAFLD之间的因果关系。体型由从6项人体测量指标(体重指数[BMI]、体重、身高、腰围[WC]、臀围[HC]和腰臀比[WHR])进行主成分分析得出。工具变量为P < 5×10⁻⁸的单核苷酸多态性,并进行了数据协调。为评估结果的稳健性,进行了敏感性分析(MR-Egger、加权中位数、留一法分析)以及异常值检测(孟德尔随机化多效性残差和异常值),同时进行了异质性评估( Cochr an Q检验)。利用散点图和漏斗图来评估暴露-结局关系以及因果估计的一致性。逆方差加权分析结果表明,BMI(比值比[OR]=1.547,95%置信区间[CI%]=1.215 - 1.972,P <.001)、体重(OR = 1.461,95% CI% = 1.247 - 1.711,P <.001)、WC(OR = 1.365,95% CI% = 1.012 - 1.842,P =.042)、HC(OR = 1.453,95% CI% = 1.122 - 1.882,P =.005)、WHR(OR = 2.765,95% CI% = 1.931 - 3.957,P <.001)以及经BMI调整的WHR(OR = 2.226,95% CI% = 1.639 - 3.024,P <.001)均与NAFLD风险呈正相关。就体型而言,逆方差加权(OR = 0.934,95% CI% = 0.900 - 0.970,P <.001)和MR-Egger(OR = 0.890,95% CI% = 0.810 - 0.978,P =.016)结果表明,PC3(一种高个子且中心性肥胖的体型)与NAFLD呈负相关。本研究表明,BMI、体重、WC和HC与NAFLD风险呈正相关。经BMI调整的WHR可能比WHR更可靠地预测NAFLD风险。一种与高个子且中心性肥胖个体相关的体型与NAFLD风险呈负相关。

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