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血清尿酸与代谢综合征及其组分的关联:一项孟德尔随机化分析。

Association of Serum Uric Acid with Metabolic Syndrome and Its Components: A Mendelian Randomization Analysis.

机构信息

Healthcare Big Data Institute of Shandong University, Jinan 250000, China.

Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan 250000, China.

出版信息

Biomed Res Int. 2020 Feb 22;2020:6238693. doi: 10.1155/2020/6238693. eCollection 2020.

Abstract

BACKGROUND

The role of uric acid on metabolic syndrome (MetS) has always been controversial. This study aims to explore associations between uric acid with MetS and its components in Chinese female health check-up population.

METHODS

1381 subjects constituted the longitudinal health check-up cohort. Health examination and genotyping were performed. Unadjusted and adjusted observational analyses were implemented to evaluate observational associations between uric acid with MetS and its components. Mendelian randomization analysis was performed to estimate the causal effect using variation at rs11722228 () as an instrument for uric acid.

RESULTS

An increase of 65% in risk of MetS per standard deviation increase in uric acid was found using unadjusted observational analyses. This association attenuated on adjustment for potential confounders. Similar patterns were found in the association analyses of uric acid with hyperglycemia, hypertension, and dyslipidemia. Neither by performing unadjusted nor adjusted analysis did we see evidence for association of uric acid on overweight and obesity. Mendelian randomization analyses showed no evidence of causal association between uric acid and MetS and MetS components.

CONCLUSIONS

We found no causal evidence to support that increased serum uric acid is a causal risk factor for MetS or its components. Hence, there remains no strong evidence for the effeteness of undergoing urate-lowering therapy to prevent the onset of MetS or cardiovascular disease in health management.

摘要

背景

尿酸在代谢综合征(MetS)中的作用一直存在争议。本研究旨在探讨中国女性健康体检人群中尿酸与 MetS 及其各组分之间的关系。

方法

1381 名受试者构成了纵向健康体检队列。进行了健康检查和基因分型。采用未调整和调整后的观察性分析来评估尿酸与 MetS 及其各组分之间的观察性关联。采用 rs11722228()作为尿酸的工具变量,进行孟德尔随机化分析来估计因果效应。

结果

采用未调整的观察性分析发现,尿酸每增加一个标准差,MetS 的风险增加 65%。这种关联在调整了潜在混杂因素后减弱。尿酸与高血糖、高血压和血脂异常之间的关联分析也呈现出类似的模式。在对超重和肥胖进行未调整和调整的分析中,均未发现尿酸与它们之间存在关联的证据。孟德尔随机化分析显示,尿酸与 MetS 及其各组分之间没有因果关系的证据。

结论

我们没有发现因果证据支持血清尿酸升高是 MetS 或其各组分的因果危险因素。因此,在健康管理中,降低尿酸治疗预防 MetS 或心血管疾病的有效性仍缺乏强有力的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af08/7063870/8aae93c83947/BMRI2020-6238693.001.jpg

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