Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, China.
Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, 200433, China.
Curr Med Sci. 2023 Oct;43(5):947-954. doi: 10.1007/s11596-023-2778-6. Epub 2023 Sep 27.
Evidence from prospective studies on the consumption of tea and risk of gout is conflicting and limited. We aimed to investigate the potential causal effects of tea intake on gout using Mendelian randomization (MR).
Genome-wide association studies in UK Biobank included 349 376 individuals and successfully discovered single-nucleotide polymorphisms linked to consumption of one cup of tea per day. Summary statistics from the Chronic Kidney Disease Genetics consortium included 13 179 cases and 750 634 controls for gout. Two-sample MR analyses were used to evaluate the relationship between tea consumption and gout risk. The inverse-variance weighted (IVW) method was used for primary analysis, and sensitivity analyses were also conducted to validate the potential causal effect.
In this study, the genetically predicted increase in tea consumption per cup was associated with a lower risk of gout in the IVW method (OR: 0.90; 95% CI: 0.82-0.98). Similar results were found in weighted median methods (OR: 0.88; 95% CI: 0.78-1.00), while no significant associations were found in MR-Egger (OR: 0.89; 95% CI: 0.71-1.11), weighted mode (OR: 0.80; 95% CI: 0.65-0.99), and simple mode (OR: 1.01; 95% CI: 0.75-1.36). In addition, no evidence of pleiotropy was detected by MR-Egger regression (P=0.95) or MR-PRESSO analysis (P=0.07).
This study provides evidence for the daily consumption of an extra cup of tea to reduce the risk of gout.
前瞻性研究中关于茶的消费与痛风风险的证据相互矛盾且有限。我们旨在使用孟德尔随机化(MR)来研究茶摄入量对痛风的潜在因果影响。
英国生物库中的全基因组关联研究纳入了 349376 名个体,并成功发现了与每天饮用一杯茶相关的单核苷酸多态性。慢性肾脏病遗传学联盟的汇总统计数据包括 13179 例痛风病例和 750634 例对照。两样本 MR 分析用于评估茶消费与痛风风险之间的关系。反方差加权(IVW)法用于主要分析,并进行敏感性分析以验证潜在的因果效应。
在这项研究中,每杯茶摄入量的遗传预测增加与 IVW 方法中的痛风风险降低相关(OR:0.90;95%CI:0.82-0.98)。加权中位数方法也得出了类似的结果(OR:0.88;95%CI:0.78-1.00),而 MR-Egger 法(OR:0.89;95%CI:0.71-1.11)、加权模式(OR:0.80;95%CI:0.65-0.99)和简单模式(OR:1.01;95%CI:0.75-1.36)未发现显著关联。此外,MR-Egger 回归(P=0.95)或 MR-PRESSO 分析(P=0.07)未检测到明显的异质性。
本研究为每天额外饮用一杯茶可降低痛风风险提供了证据。