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血清尿酸与糖尿病微血管并发症之间的因果关系——一项孟德尔随机化研究

Causality between serum uric acid and diabetic microvascular complications - a mendelian randomization study.

作者信息

Wu Hongli, Li Xuefeng, Zhang Wenning, Peng Huifang, Jiang Hongwei

机构信息

Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Henan University of Science and Technology, Luoyang, China.

Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.

出版信息

Diabetol Metab Syndr. 2024 Jun 18;16(1):134. doi: 10.1186/s13098-024-01377-x.

Abstract

BACKGROUND

The aim of this study was to investigate whether a causal relationship exists between serum uric acid (SUA) and diabetic microvascular complications using a two-sample Mendelian randomization (MR) method.

METHODS

We used the MR approach, utilizing genome-wide association study (GWAS) summary statistics, to estimate the causal effect of SUA on diabetic microvascular complications in European individuals. The summary statistical data of SUA were obtained from the open database (IEU OPEN GWAS PROJECT) (p < 5 × 10), and data on diabetic microvascular complications (diabetic nephropathy, diabetic neuropathy, diabetic retinopathy) were obtained from the FinnGen consortium. F-statistics were calculated to assess the correlation between instrumental variables (IVs) and SUA, and single nucleotide polymorphisms (SNPs) associated with confounders or outcomes were excluded by consulting the PhenoScanner database. Inverse variance weighting (IVW) was used for primary estimation, and MR‒Egger, weighted median (WM), and Mendelian randomization pleiotropy residuals sum and outliers (MR-PRESSO) were used for additional assessment. Heterogeneity was assessed using the Cochran's Q test, and polytropy was assessed using the MR‒Egger intercept.

RESULTS

MR analysis revealed a causal relationship between a genetically predicted increase in SUA and diabetic nephropathy [OR = 1.32, 95%(CI) = 1.07-1.63, p = 0.008]. The results were consistent with those after MR-PRESSO [OR = 1.30, 95%(CI) = 1.07-1.58, p = 0.008]. There was a causal relationship between type 2 diabetes mellitus (T2DM) and renal complication IVW [OR = 1.27, 95%(CI) = 1.00-1.62, p = 0.049]. These results were consistent with those after MR-PRESSO [OR = 1.27, 95%(CI) = 1.00-1.62, p = 0.050]. There was no significant causal relationship between the genetically predicted increase in SUA and diabetic retinopathy [OR 1.09, 95%(CI) = 0.94-1.26, p = 0.249] or diabetic neuropathy [OR = 1.08, 95%(CI) = 0.84-1.40, p = 0.549].

CONCLUSIONS

This MR analysis suggests a causal relationship between genetically predicted uric acid increases and diabetic microvascular complications. A significant causal relationship exists between SUA and diabetic nephropathy but not between SUA and diabetic retinopathy or diabetic neuropathy.

摘要

背景

本研究旨在使用两样本孟德尔随机化(MR)方法调查血清尿酸(SUA)与糖尿病微血管并发症之间是否存在因果关系。

方法

我们采用MR方法,利用全基因组关联研究(GWAS)汇总统计数据,估计SUA对欧洲个体糖尿病微血管并发症的因果效应。SUA的汇总统计数据来自开放数据库(IEU OPEN GWAS PROJECT)(p < 5 × 10),糖尿病微血管并发症(糖尿病肾病、糖尿病神经病变、糖尿病视网膜病变)的数据来自芬兰基因组联盟。计算F统计量以评估工具变量(IVs)与SUA之间的相关性,并通过查阅PhenoScanner数据库排除与混杂因素或结局相关的单核苷酸多态性(SNPs)。主要估计采用逆方差加权(IVW),并使用MR-Egger、加权中位数(WM)和孟德尔随机化多效性残差总和及异常值检验(MR-PRESSO)进行额外评估。使用Cochran's Q检验评估异质性,使用MR-Egger截距评估多效性。

结果

MR分析显示,遗传预测的SUA升高与糖尿病肾病之间存在因果关系[比值比(OR)=1.32,95%置信区间(CI)=1.07 - 1.63,p = 0.008]。结果与MR-PRESSO检验后一致[OR = 1.30,95%CI = 1.07 - 1.58,p = 0.008]。2型糖尿病(T2DM)与肾脏并发症IVW之间存在因果关系[OR = 1.27,95%CI = 1.00 - 1.62,p = 0.049]。这些结果与MR-PRESSO检验后一致[OR = 1.27,95%CI = 1.00 - 1.62,p = 0.050]。遗传预测的SUA升高与糖尿病视网膜病变[OR 1.09,95%CI = 0.94 - 1.26,p = 0.249]或糖尿病神经病变[OR = 1.08,95%CI = 0.84 - 1.40,p = 0.549]之间无显著因果关系。

结论

该MR分析表明,遗传预测的尿酸升高与糖尿病微血管并发症之间存在因果关系。SUA与糖尿病肾病之间存在显著因果关系,但与糖尿病视网膜病变或糖尿病神经病变之间不存在因果关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2668/11186091/672dc83db1e1/13098_2024_1377_Fig1_HTML.jpg

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