天津医药 ›› 2025, Vol. 53 ›› Issue (9): 946-951.doi: 10.11958/20250987

• 临床研究 • 上一篇    下一篇

阻塞性睡眠呼吸暂停和心房颤动因果关系的多组学孟德尔随机化分析

陈苗苗(), 张亚征, 赵芳, 杨立恒, 焦丽娜, 赵晓赟()   

  1. 天津市胸科医院呼吸与危重症医学科(邮编300041)
  • 收稿日期:2025-03-11 修回日期:2025-07-02 出版日期:2025-09-15 发布日期:2025-09-16
  • 通讯作者: E-mail:zxydoctor@163.com
  • 作者简介:陈苗苗(1985),女,主治医师,主要从事呼吸系统感染性疾病及睡眠呼吸暂停综合征的研究。E-mail:miaomiaonyd@126.com
  • 基金资助:
    国家临床重点专科建设项目,天津市医学重点学科建设项目(TJYXZDXK-3-032C);天津市卫生健康科技临床重点专项(TJWJ2024ZK003)

Multi-omics analysis of the causal relationship and mediation mechanisms between obstructive sleep apnea and atrial fibrillation

CHEN Miaomiao(), ZHANG Yazheng, ZHAO Fang, YANG Liheng, JIAO Lina, ZHAO Xiaoyun()   

  1. Department of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin 300041, China
  • Received:2025-03-11 Revised:2025-07-02 Published:2025-09-15 Online:2025-09-16
  • Contact: E-mail: zxydoctor@163.com

摘要:

目的 通过孟德尔随机化(MR)方法分析阻塞性睡眠呼吸暂停(OSA)与心房颤动(AF)的因果关系,并探讨炎性因子、免疫细胞、血液代谢物、循环蛋白在其中的作用。方法 使用双样本MR分析探究OSA与AF的因果关系,采用逆方差加权(IVW)、MR-Egger等方法,并进行敏感性分析。此外,研究还探讨91种炎性因子、731种免疫细胞、 1 400种血液代谢物及4 907种循环蛋白对AF的影响。结果 MR分析显示OSA与AF存在显著的因果关系(IVW法OR=1.078,P<0.05)。反向MR分析未发现AF对OSA的因果关系(IVW法P>0.05)。5种炎性因子、19种免疫细胞、15种血液代谢物、67种循环蛋白为AF的风险因素,其中OSA是1种炎性因子、1种血液代谢物及12种循环蛋白的风险因素,与19种免疫细胞无显著因果关联。结论 OSA增加AF的风险,同时炎性因子、免疫细胞、血液代谢物及循环蛋白在AF的发病机制中具有潜在影响。

关键词: 睡眠呼吸暂停, 阻塞性, 心房颤动, 孟德尔随机化分析, 炎性因子, 免疫细胞, 血液代谢物, 循环蛋白

Abstract:

Objective To analyse the causal relationship between obstructive sleep apnea (OSA) and atrial fibrillation (AF) by Mendelian randomization (MR) method, and to explore the role of inflammatory factors, immune cells, blood metabolites and circulating proteins in it. Methods In this study, MR analysis was used to investigate the causal link between OSA and AF. Inverse variance weighting (IVW), MR-Egger and other methods were used for sensitivity analysis. Additionally, the study also explored the effects of 91 inflammatory factors, 731 immune cells, 1 400 blood metabolites and 4 907 circulating proteins on AF. Results MR analysis revealed a significant causal relationship between OSA and AF (OR = 1.078, P<0.05). Conversely, reverse MR analysis did not find causal relationship between AF and OSA (P>0.05). Further analysis revealed that 5 inflammatory factors, 19 immune cells, 15 blood metabolites and 67 circulating proteins were risk factors for AF. Among them, OSA was the risk factor for one inflammatory factor, one blood metabolite and 12 circulating proteins. There was no significant causal association between OSA and 19 immune cells. Conclusion This study demonstrates that OSA increases the risk of AF. Meanwhile, it is found that inflammatory factors, immune cells, blood metabolites and circulating proteins have potential impacts on the pathogenesis of AF.

Key words: sleep apnea, obstructive, atrial fibrillation, Mendelian randomization analysis, inflammatory factors, immune cells, metabolites, plasma proteins

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