Zhang Yujun, Lian Qiufang, Nie Yanwu, Zhao Wei
Yan'an University Xianyang Hospital, Data Management Center, Xianyang, China.
Department of Cardiology, Xianyang Hospital, Yan'an University, Xianyang, China.
Int J Cardiol Heart Vasc. 2024 Jun 29;54:101453. doi: 10.1016/j.ijcha.2024.101453. eCollection 2024 Oct.
Observational studies have established an association between serum uric acid and cardiovascular disease (CVD). However, these studies are susceptible to uncontrolled confounders and reverse causality bias. To overcome these challenges, we employed a two-sample Mendelian randomization (MR) approach to investigate the causal link between serum uric acid and CVD.
We utilized Genome-wide association study (GWAS) data for serum uric acid and six CVD: coronary artery disease (CAD), hypertension, myocardial infarction (MI), heart failure (HF), angina, and coronary heart disease (CHD). MR analyses employed inverse variance weighting (IVW), MR-Egger, weighted median, and weighted model. Sensitivity analyses were conducted to assess result reliability, including Cochrane's Q test, MR-Egger intercept, MR-PRESSO, and the leave-one-out approach.
IVW analysis revealed that a genetic predisposition to elevated serum uric acid levels significantly increases the risk of CVD, with higher odds ratios (ORs) observed for CAD (OR: 1.227; 95 % CI: 1.107-1.360, = 0.0002), hypertension (OR: 1.318, 95 %CI: 1.184-1.466, = 2.13E-06), MI (OR: 1.184, 95 %CI: 1.108-1.266, = 2.13E-06), HF (OR: 1.158, 95 %CI: 1.066-1.258, = 2.13E-06), angina (OR: 1.150, 95 %CI: 1.074-1.231, = 0.0002) and CHD (OR: 1.170, 95 %CI: 1.072-1.276, = 0.0005). Sensitivity analysis research results have robustness.
This MR study robustly demonstrates a significant causal relationship between genetically elevated serum uric acid and various cardiovascular diseases, suggesting that higher levels may enhance the risk of cardiovascular events. Consequently, patients with elevated uric acid levels warrant early and aggressive interventions to mitigate cardiovascular risks.
观察性研究已证实血清尿酸与心血管疾病(CVD)之间存在关联。然而,这些研究容易受到未控制的混杂因素和反向因果关系偏差的影响。为了克服这些挑战,我们采用了两样本孟德尔随机化(MR)方法来研究血清尿酸与CVD之间的因果关系。
我们利用了血清尿酸和六种CVD的全基因组关联研究(GWAS)数据:冠状动脉疾病(CAD)、高血压、心肌梗死(MI)、心力衰竭(HF)、心绞痛和冠心病(CHD)。MR分析采用逆方差加权(IVW)、MR-Egger、加权中位数和加权模型。进行敏感性分析以评估结果的可靠性,包括Cochrane's Q检验、MR-Egger截距、MR-PRESSO和留一法。
IVW分析显示,血清尿酸水平升高的遗传易感性显著增加了CVD的风险,CAD(比值比:1.227;95%置信区间:1.107-1.360,P = 0.0002)、高血压(比值比:1.318,95%置信区间:1.184-1.466,P = 2.13E-06)、MI(比值比:1.184,95%置信区间:1.108-1.266,P = 2.13E-06)、HF(比值比:1.158,95%置信区间:1.066-1.258,P = 2.13E-06)、心绞痛(比值比:1.150,95%置信区间:1.074-1.231,P = 0.0002)和CHD(比值比:1.170,95%置信区间:1.072-1.276,P = 0.0005)的比值比更高。敏感性分析研究结果具有稳健性。
这项MR研究有力地证明了基因决定的血清尿酸升高与各种心血管疾病之间存在显著的因果关系,表明较高水平的血清尿酸可能会增加心血管事件的风险。因此,尿酸水平升高的患者需要早期积极干预以降低心血管风险。