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孤独与隔离对心血管疾病的影响:一项两样本孟德尔随机化研究

Effects of loneliness and isolation on cardiovascular diseases: a two sample Mendelian Randomization Study.

作者信息

Cai Jia-Yin, Wang Xin, Zheng Cong-Yi, Cao Xue, Hu Zhen, Gu Run-Qing, Tian Yi-Xin, Tian Ye, Shao Lan, Zhang Lin-Feng, Wang Zeng-Wu

机构信息

Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.

出版信息

J Geriatr Cardiol. 2024 Mar 28;21(3):340-348. doi: 10.26599/1671-5411.2024.03.006.

Abstract

BACKGROUND

Loneliness and isolation are associated with multiple cardiovascular diseases (CVDs), but there is a lack of research on whether they were causally linked. We conducted a Mendelian Randomization (MR) study to explore causal relationships between loneliness and isolation and multiple CVDs.

METHODS

Single nucleotide polymorphisms associated with loneliness and isolation were identified from a genome-wide association study (GWAS) of 455,364 individuals of European ancestry in the IEU GWAS database. Summary data for 15 CVDs were also obtained from the IEU GWAS database. We used three MR methods including inverse variance weighting, MR-Egger, and weighted median estimation to assess the causal effect of exposure on outcomes. Cochran's test and MR-Egger intercept test were used to evaluate the heterogeneity and pleiotropy.

RESULTS

MR analysis showed that loneliness and isolation were significantly associated with essential hypertension (OR = 1.07, 95% CI: 1.03-1.12), atherosclerotic heart disease (OR = 1.04; 95% CI: 1.02-1.06), myocardial infarction (OR = 1.02; 95% CI: 1-1.04) and angina (OR = 1.04; 95% CI =1.02-1.06). No heterogeneity and pleiotropy effects were found in this study.

CONCLUSIONS

Causal relationship of loneliness and isolation with CVDs were found in this study.

摘要

背景

孤独和孤立与多种心血管疾病(CVD)相关,但缺乏关于它们是否存在因果关系的研究。我们进行了一项孟德尔随机化(MR)研究,以探讨孤独和孤立与多种心血管疾病之间的因果关系。

方法

从IEU全基因组关联研究(GWAS)数据库中455364名欧洲血统个体的全基因组关联研究中确定与孤独和孤立相关的单核苷酸多态性。还从IEU GWAS数据库中获得了15种心血管疾病的汇总数据。我们使用了三种MR方法,包括逆方差加权、MR-Egger和加权中位数估计,以评估暴露对结局的因果效应。使用 Cochr an检验和MR-Egger截距检验来评估异质性和多效性。

结果

MR分析表明,孤独和孤立与原发性高血压(OR = 1.07,95%CI:1.03 - 1.12)、动脉粥样硬化性心脏病(OR = 1.04;95%CI:1.02 - 1.06)、心肌梗死(OR = 1.02;95%CI:1 - 1.04)和心绞痛(OR = 1.04;95%CI = 1.02 - 1.06)显著相关。本研究未发现异质性和多效性效应。

结论

本研究发现了孤独和孤立与心血管疾病之间的因果关系。

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