Shoulong Zhu, Mingfang Zhang, Shanshan Cheng, Chengjie Wang, Fengfeng Deng
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Our primary analytical approach was the inverse-variance weighted (IVW) method, complemented by some sensitivity analyses, including MR-Egger, weighted median, simple mode, and weighted mode, to estimate the causal effects. To identify potential violations, we conducted Egger regression and leave-one-SNP-out analyses. We assessed the strength of instrumental variables using F values to evaluate weak instruments. Additionally, we referenced the Phenoscanner database to exclude single nucleotide polymorphisms (SNPs) associated with confounding factors or outcomes.</p><p><strong>Results: </strong>Our forward Mendelian randomization analysis suggests that there is no causal relationship between UA levels/gout from different populations and the risk of AF [IVW OR 1.03, 95% CI: 0.97-1.08; p = 0.335; IVW OR 0.99, 95% CI: 0.97-1.02; p = 0.583; and IVW OR 1.07, 95% CI: 0.84-1.37; p = 0.575], respectively. We did not detect significant heterogeneity or potential pleiotropy, and we also excluded the possibility of weak instrumental variables. Furthermore, we did not find any reverse causal effects of AF on sUA levels and gout risk.</p><p><strong>Conclusion: </strong>Our findings challenge the widely held belief that lowering urate levels is uniformly effective in reducing the risk of atrial fibrillation (AF). Our study fails to substantiate the existence of a causal link between uric acid (UA) levels or gout and the development of AF, regardless of direction.</p>","PeriodicalId":9195,"journal":{"name":"BMC Cardiovascular Disorders","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562312/pdf/","citationCount":"0","resultStr":"{\"title\":\"Assessing the causal associations of atrial fibrillation with serum uric acid level and gout: insights from a bidirectional mendelian randomization study.\",\"authors\":\"Shoulong Zhu, Mingfang Zhang, Shanshan Cheng, Chengjie Wang, Fengfeng Deng\",\"doi\":\"10.1186/s12872-024-04319-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Numerous observational studies consistently highlight a strong association between serum uric acid (sUA) levels and atrial fibrillation (AF). However, the causal relationship and the direction of this association remain elusive, despite extensive research efforts.</p><p><strong>Objective: </strong>This study aimed to investigate the bidirectional causal relationships between sUA, gout, and the risk of AF using the two-sample Mendelian randomization (MR) approach.</p><p><strong>Methods: </strong>We conducted a comprehensive analysis utilizing publicly available genome-wide association studies (GWAS) summary statistics, employing stringent criteria to meticulously select genetic variants associated with sUA, gout, and AF. Our primary analytical approach was the inverse-variance weighted (IVW) method, complemented by some sensitivity analyses, including MR-Egger, weighted median, simple mode, and weighted mode, to estimate the causal effects. To identify potential violations, we conducted Egger regression and leave-one-SNP-out analyses. We assessed the strength of instrumental variables using F values to evaluate weak instruments. Additionally, we referenced the Phenoscanner database to exclude single nucleotide polymorphisms (SNPs) associated with confounding factors or outcomes.</p><p><strong>Results: </strong>Our forward Mendelian randomization analysis suggests that there is no causal relationship between UA levels/gout from different populations and the risk of AF [IVW OR 1.03, 95% CI: 0.97-1.08; p = 0.335; IVW OR 0.99, 95% CI: 0.97-1.02; p = 0.583; and IVW OR 1.07, 95% CI: 0.84-1.37; p = 0.575], respectively. We did not detect significant heterogeneity or potential pleiotropy, and we also excluded the possibility of weak instrumental variables. Furthermore, we did not find any reverse causal effects of AF on sUA levels and gout risk.</p><p><strong>Conclusion: </strong>Our findings challenge the widely held belief that lowering urate levels is uniformly effective in reducing the risk of atrial fibrillation (AF). 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引用次数: 0
摘要
背景:大量观察性研究一致强调血清尿酸(sUA)水平与心房颤动(AF)之间存在密切联系。然而,尽管开展了大量研究工作,这种关联的因果关系和方向仍然难以捉摸:本研究旨在利用双样本孟德尔随机化(MR)方法研究 sUA、痛风和房颤风险之间的双向因果关系:我们利用公开的全基因组关联研究(GWAS)汇总统计数据进行了综合分析,采用严格的标准精心筛选出与sUA、痛风和房颤相关的基因变异。我们的主要分析方法是逆方差加权(IVW)法,并辅以一些敏感性分析,包括 MR-Egger、加权中位数、简单模式和加权模式,以估计因果效应。为了识别潜在的违规行为,我们进行了 Egger 回归和撇除一 SNP 分析。我们使用 F 值评估了工具变量的强度,以评估弱工具。此外,我们还参考了Phenoscanner数据库,以排除与混杂因素或结果相关的单核苷酸多态性(SNP):我们的前向孟德尔随机分析表明,不同人群的尿酸水平/痛风与房颤风险之间没有因果关系[IVW OR 1.03,95% CI:0.97-1.08;p = 0.335;IVW OR 0.99,95% CI:0.97-1.02;p = 0.583;IVW OR 1.07,95% CI:0.84-1.37;p = 0.575]。我们没有发现明显的异质性或潜在的多生物效应,也排除了弱工具变量的可能性。此外,我们没有发现房颤对sUA水平和痛风风险有任何反向因果效应:我们的研究结果对人们普遍认为降低尿酸水平可有效降低心房颤动(AF)风险的观点提出了质疑。我们的研究未能证实尿酸(UA)水平或痛风与心房颤动的发生之间存在因果关系,无论其方向如何。
Assessing the causal associations of atrial fibrillation with serum uric acid level and gout: insights from a bidirectional mendelian randomization study.
Background: Numerous observational studies consistently highlight a strong association between serum uric acid (sUA) levels and atrial fibrillation (AF). However, the causal relationship and the direction of this association remain elusive, despite extensive research efforts.
Objective: This study aimed to investigate the bidirectional causal relationships between sUA, gout, and the risk of AF using the two-sample Mendelian randomization (MR) approach.
Methods: We conducted a comprehensive analysis utilizing publicly available genome-wide association studies (GWAS) summary statistics, employing stringent criteria to meticulously select genetic variants associated with sUA, gout, and AF. Our primary analytical approach was the inverse-variance weighted (IVW) method, complemented by some sensitivity analyses, including MR-Egger, weighted median, simple mode, and weighted mode, to estimate the causal effects. To identify potential violations, we conducted Egger regression and leave-one-SNP-out analyses. We assessed the strength of instrumental variables using F values to evaluate weak instruments. Additionally, we referenced the Phenoscanner database to exclude single nucleotide polymorphisms (SNPs) associated with confounding factors or outcomes.
Results: Our forward Mendelian randomization analysis suggests that there is no causal relationship between UA levels/gout from different populations and the risk of AF [IVW OR 1.03, 95% CI: 0.97-1.08; p = 0.335; IVW OR 0.99, 95% CI: 0.97-1.02; p = 0.583; and IVW OR 1.07, 95% CI: 0.84-1.37; p = 0.575], respectively. We did not detect significant heterogeneity or potential pleiotropy, and we also excluded the possibility of weak instrumental variables. Furthermore, we did not find any reverse causal effects of AF on sUA levels and gout risk.
Conclusion: Our findings challenge the widely held belief that lowering urate levels is uniformly effective in reducing the risk of atrial fibrillation (AF). Our study fails to substantiate the existence of a causal link between uric acid (UA) levels or gout and the development of AF, regardless of direction.
期刊介绍:
BMC Cardiovascular Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of disorders of the heart and circulatory system, as well as related molecular and cell biology, genetics, pathophysiology, epidemiology, and controlled trials.