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生活方式因素在介导情绪波动对心血管疾病影响中的作用:一项中介孟德尔随机化研究。

Role of lifestyle factors in mediating the effect of mood swings on cardiovascular diseases: A mediation Mendelian randomization study.

作者信息

Shi Zhuocheng, Gao Yang, Shi Qingbo, Zhang Zhiwen, Yu Haosen, Lv Mingxing, Zhang Tong, Chen Donghui, Gu Yushuo, Ma Cao, Guo Quan, Li Muwei

机构信息

Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan Province, China.

Department of Cardiology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan Province, China.

出版信息

Medicine (Baltimore). 2025 May 16;104(20):e42444. doi: 10.1097/MD.0000000000042444.

DOI:10.1097/MD.0000000000042444
PMID:40388780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12091611/
Abstract

It has been found that individuals with psychiatric illnesses are predisposed to an elevated risk of cardiovascular diseases (CVDs). Mood swing is a clinically relevant characteristic linked to psychiatric disorders. This study examined the possible relationship between genetically predicted mood swings and CVDs risk. In this mediation Mendelian randomization (MR) study, we compiled data from genome-wide association studies examining mood swings (n = 451,619) and 5 CVDs among Europeans, including coronary artery disease (CAD) (n = 547,261), major coronary heart disease events (MCEs) (n = 361,194), all-cause heart failure (AHF) (n = 218,208), atrial fibrillation (n = 1030,836), and stroke (n = 446,696). The inverse variance weighting method was considered the primary assessment approach in MR analysis, and several sensitivity analyses were performed to evaluate the reliability of the results. Furthermore, the mediating effect of lifestyle factors including smoking, alcohol intake, walking, and waist-hip ratio was explored by using a two-step MR. According to our MR analysis, mood swings were genetically associated with a higher risk of CAD (OR, 2.101; 95% CI, 1.200-3.679; P = .009), AHF (OR, 2.761; 95% CI, 1.312-5.810; P = .007), and MCE (OR, 1.048; 95% CI, 1.022-1.076; P < .001). In the two-step MR analysis, smoking may mediate the causal pathways from mood swings to CAD (27%), MCE (18%), and AHF (26%). Our MR study revealed a potential causal relationship between mood swings and CVDs, smoking may play an important role in it, highlighting the need for regulating mood stability and build a healthy lifestyle to prevent the onset of CVDs. However, due to the limitations of MR, further research is needed to confirm these associations and clarify the underlying mechanisms.

摘要

研究发现,患有精神疾病的个体更容易患心血管疾病(CVD)。情绪波动是与精神障碍相关的临床特征。本研究探讨了基因预测的情绪波动与心血管疾病风险之间的可能关系。在这项中介孟德尔随机化(MR)研究中,我们收集了全基因组关联研究的数据,这些研究涉及欧洲人的情绪波动(n = 451,619)和5种心血管疾病,包括冠状动脉疾病(CAD)(n = 547,261)、主要冠心病事件(MCE)(n = 361,194)、全因心力衰竭(AHF)(n = 218,208)、心房颤动(n = 1,030,836)和中风(n = 446,696)。逆方差加权法被视为MR分析中的主要评估方法,并进行了多项敏感性分析以评估结果的可靠性。此外,通过两步MR探讨了包括吸烟、饮酒、步行和腰臀比在内的生活方式因素的中介作用。根据我们的MR分析,情绪波动与CAD(OR,2.101;95%CI,1.200 - 3.679;P = 0.009)、AHF(OR,2.761;95%CI,1.312 - 5.810;P = 0.007)和MCE(OR,1.048;95%CI,1.022 - 1.076;P < 0.001)的较高风险在基因上相关。在两步MR分析中,吸烟可能介导了从情绪波动到CAD(27%)、MCE(18%)和AHF(26%)的因果途径。我们的MR研究揭示了情绪波动与心血管疾病之间的潜在因果关系,吸烟可能在其中起重要作用,强调了调节情绪稳定性和建立健康生活方式以预防心血管疾病发作的必要性。然而,由于MR的局限性,需要进一步研究来证实这些关联并阐明潜在机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de5/12091611/c56811a83ac2/medi-104-e42444-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de5/12091611/3c2b58468489/medi-104-e42444-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de5/12091611/9576eeb3efb1/medi-104-e42444-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de5/12091611/c56811a83ac2/medi-104-e42444-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de5/12091611/3c2b58468489/medi-104-e42444-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de5/12091611/9576eeb3efb1/medi-104-e42444-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de5/12091611/c56811a83ac2/medi-104-e42444-g003.jpg

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