Fu Yanqi, Yu Yuefeng, Wang Yuying, Sun Ying, Zhang Kun, Xu Fei, Wang Ningjian, Wang Bin, Lu Yingli
Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
iHuman Institute, School of Life Science and Technology, Shanghai Tech University, Shanghai, China.
Nutr Metab Cardiovasc Dis. 2024 Apr;34(4):998-1007. doi: 10.1016/j.numecd.2023.12.005. Epub 2023 Dec 20.
Conflicting evidence exists on the relationship between body mass index (BMI) and serum uric acid (SUA), and importantly, the causal role of BMI in SUA remains unclear. We aimed to evaluate the BMI-SUA relationship and its causality among Chinese adults using observational and Mendelian randomization (MR) analyses.
Study included 6641 adults from East China. A genetic risk score based on 14 BMI-associated East Asian variants was formulated. One-sample MR and non-linear MR analyses assessed the causal link between BMI_GRS and SUA levels. Mean BMI levels were 24.8 (SD 3.4) and 24.3 (SD 3.6) kg/m in men and women, respectively. Spline models revealed gender-specific BMI-SUA associations: a reverse J-shape for men and a J-shape for women (P-values for nonlinearity <0.05). In men, BMI showed a positive correlation with SUA levels when BMI was below 29.6 kg/m (beta coefficient 19.1 [95 % CI 15.1, 23.0] μmol/L per 1-SD increase in BMI), while in women, BMI exhibited a negative correlation with SUA levels when the BMI was less than 21.7 kg/m (beta coefficient -12.9 [95 % CI -21.6, -4.1] μmol/L) and a positive correlation when BMI exceeded 21.7 kg/m (beta coefficient 13.3 [95 % CI 10.9, 15.8] μmol/L). Furthermore, MR analysis suggested non-linear BMI-SUA link in women but not men.
Our study indicates a non-linear correlation between BMI and SUA in both genders. It is noteworthy that in women, this correlation may have a causal nature. Nevertheless, further longitudinal investigations are required to authenticate our findings.
关于体重指数(BMI)与血清尿酸(SUA)之间的关系,存在相互矛盾的证据,重要的是,BMI在SUA中的因果作用仍不明确。我们旨在通过观察性研究和孟德尔随机化(MR)分析,评估中国成年人中BMI与SUA的关系及其因果关系。
研究纳入了来自中国东部的6641名成年人。基于14个与BMI相关的东亚变异构建了遗传风险评分。单样本MR和非线性MR分析评估了BMI_GRS与SUA水平之间的因果联系。男性和女性的平均BMI水平分别为24.8(标准差3.4)和24.3(标准差3.6)kg/m²。样条模型显示了性别特异性的BMI与SUA关联:男性为倒J形,女性为J形(非线性P值<0.05)。在男性中,当BMI低于29.6 kg/m²时,BMI与SUA水平呈正相关(BMI每增加1个标准差,β系数为19.1 [95%可信区间15.1, 23.0] μmol/L),而在女性中,当BMI小于21.7 kg/m²时,BMI与SUA水平呈负相关(β系数为-12.9 [95%可信区间-21.6, -4.1] μmol/L),当BMI超过21.7 kg/m²时呈正相关(β系数为13.3 [95%可信区间10.9, 15.8] μmol/L)。此外,MR分析表明女性中BMI与SUA存在非线性联系,而男性中不存在。
我们的研究表明,BMI与SUA在两性中均呈非线性相关。值得注意的是,在女性中,这种相关性可能具有因果性质。然而,需要进一步的纵向研究来证实我们的发现。