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作 者:冀浩然 方柯 周忠云[2] 王萍[2] JI Hao-ran;FANG Ke;ZHOU Zhong-yun;WANG Ping
机构地区:[1]山东中医药大学,山东济南250013 [2]山东中医药大学第二附属医院,山东济南250001
出 处:《风湿病与关节炎》2024年第11期7-13,共7页Rheumatism and Arthritis
基 金:山东省中医药科技面上项目(M-2023074)。
摘 要:目的:探讨骨关节炎与动脉粥样硬化之间的双向因果风险关系。方法:在公开的全基因组关联研究数据平台中,选取单关节或多关节骨关节炎和动脉粥样硬化的数据进行汇总分析,并筛选强相关的单核苷酸多态性作为工具变量进行孟德尔随机化(MR)分析。其中,使用逆方差加权法作为主要分析方法,并采用加权中位数法以及MR-Egger法确保结果的稳定性。结果:MR分析揭示了基因预测的骨关节炎与动脉粥样硬化的增加不存在风险效应关系(逆方差加权法P>0.05),反向MR分析也提示两者不存在风险关系(逆方差加权法P>0.05),敏感性分析结果同样支持以上内容。结论:MR分析的证据表明,骨关节炎和动脉粥样硬化之间没有显著的因果关系。这与之前一些观察性研究报告的相关性相矛盾,提示这些相关性可能由其他混杂因素构成。同时,这为其他观察性研究报告的结论提供了遗传证据,即骨关节炎不会影响动脉粥样硬化风险,反之亦然。Objective:To explore the two-way causal risk relationship between osteoarthritis and atherosclerosis.Methods:In the open genome-wide association research data platform,the data of single joint or multi joint osteoarthritis and atherosclerosis were collected and analyzed,and the strongly related single nucleotide polymorphisms were screened as instrumental variables for Mendelian randomization analysis(MR).Among them,the inverse variance weighting method was used as the main analysis method,and the weighted median method and MR-Egger method are used to ensure the stability of the results.Results:MR analysis revealed that there was no risk effect relationship between gene predicted osteoarthritis and the increase of atherosclerosis(inverse variance weighted method P>0.05),and inverse MR also suggested that there was no risk relationship between the two(inverse variance weighted method P>0.05).The sensitivity analysis results also supported the above contents.Conclusion:The evidence of MR analysis shows that there is no significant causal relationship between osteoarthritis and atherosclerosis.This contradicts the correlations reported in some previous observational studies,suggesting that these correlations may be composed of other confounding factors.At the same time,this provides genetic evidence for the conclusions of other observational research reports,that is,osteoarthritis does not affect the risk of atherosclerosis,and vice versa.
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