The adverse effect of mood swings on the risk of cardiovascular diseases: Evidence from Mendelian randomization analysis

Recent studies have explored the impact of personality traits, including mood swings, on physical health. However, it remains unclear whether there is a direct cause-and-effect link between mood swings and cardiovascular diseases (CVDs). A STROBE-compliant cross-sectional observational study was conducted and analyzed using a two-sample Mendelian randomization (MR) approach to examine the potential causal relationship between mood swings and a range of CVDs, such as arrhythmia, artery aneurysm, coronary heart disease (CHD), heart failure, hypertension, stroke, ischemic stroke, and peripheral artery disease. We sourced genome-wide association studies (GWAS) summary data for mood swings from the UK Biobank, and for CVDs from the GWAS Catalog and FinnGen databases. We excluded single-nucleotide polymorphisms (SNPs) linked to potential confounders such as obesity, smoking, sex, diabetes, as well as SNPs suspected of horizontal pleiotropy, as identified by MR-PRESSO and the MR-pleiotropy method, prior to the final analysis. Sensitivity analyses were conducted using the MR-Egger, inverse variance weighted, and leave-one-out methods. After screening, 57 SNPs were identified as instrumental variables for mood swings, and 9 SNPs related to confounding factors were excluded. An increase in mood swing frequency is correlated with a significant increase in the likelihood of various conditions. Notably, arrhythmia in the FinnGen dataset showed an odds ratio (OR: 2.28, 95% confidence interval [CI]: 1.44-3.61, P < .001), and atrial fibrillation had an OR (OR: 2.25, 95% CI: 1.23-4.11, P = .01). CHD risk was elevated in both the IEU OpenGWAS project (OR: 2.05, 95% CI: 1.30-3.21, P < .001) and GWAS Catalog (OR: 4.45, 95% CI: 1.75-11.33, P < .001). Increased risks were also noted for heart failure (GWAS Catalog: OR: 1.75, 95% CI: 1.09-2.83, P = .02) and hypertension (FinnGen: OR, 2.17; 95% CI: 1.47-3.19, P < .001). However, no significant associations were found for conditions such as arterial aneurysms or ischemic stroke. In combined analyses, mood swings were associated with a higher risk of CHD (OR: 2.21, 95% CI: 1.64-2.97, P < .01), heart failure (OR: 1.74, 95% CI: 1.21-2.50, P < .01), and other CVDs. This study revealed a causal link between mood swings and various CVDs, highlighting intriguing findings. This suggests that implementing proper psychological interventions to stabilize mood may be beneficial for preventing negative cardiovascular events.

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Journal
Medicine
Published
2024-12-20
DOI
https://doi.org/10.1097/md.0000000000041003
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1
Primary Topic
Genetic Associations and Epidemiology
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article
Field-Weighted Citation Impact
0.55
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article

The adverse effect of mood swings on the risk of cardiovascular diseases: Evidence from Mendelian randomization analysis

Yun Dai, Yuqi Hao
1 citations
Medicine
Genetic Associations and Epidemiology
0.55
article

The adverse effect of mood swings on the risk of cardiovascular diseases: Evidence from Mendelian randomization analysis

Yun Dai, Yuqi Hao
article en
1 citations

Abstract

Recent studies have explored the impact of personality traits, including mood swings, on physical health. However, it remains unclear whether there is a direct cause-and-effect link between mood swings and cardiovascular diseases (CVDs). A STROBE-compliant cross-sectional observational study was conducted and analyzed using a two-sample Mendelian randomization (MR) approach to examine the potential causal relationship between mood swings and a range of CVDs, such as arrhythmia, artery aneurysm, coronary heart disease (CHD), heart failure, hypertension, stroke, ischemic stroke, and peripheral artery disease. We sourced genome-wide association studies (GWAS) summary data for mood swings from the UK Biobank, and for CVDs from the GWAS Catalog and FinnGen databases. We excluded single-nucleotide polymorphisms (SNPs) linked to potential confounders such as obesity, smoking, sex, diabetes, as well as SNPs suspected of horizontal pleiotropy, as identified by MR-PRESSO and the MR-pleiotropy method, prior to the final analysis. Sensitivity analyses were conducted using the MR-Egger, inverse variance weighted, and leave-one-out methods. After screening, 57 SNPs were identified as instrumental variables for mood swings, and 9 SNPs related to confounding factors were excluded. An increase in mood swing frequency is correlated with a significant increase in the likelihood of various conditions. Notably, arrhythmia in the FinnGen dataset showed an odds ratio (OR: 2.28, 95% confidence interval [CI]: 1.44-3.61, P < .001), and atrial fibrillation had an OR (OR: 2.25, 95% CI: 1.23-4.11, P = .01). CHD risk was elevated in both the IEU OpenGWAS project (OR: 2.05, 95% CI: 1.30-3.21, P < .001) and GWAS Catalog (OR: 4.45, 95% CI: 1.75-11.33, P < .001). Increased risks were also noted for heart failure (GWAS Catalog: OR: 1.75, 95% CI: 1.09-2.83, P = .02) and hypertension (FinnGen: OR, 2.17; 95% CI: 1.47-3.19, P < .001). However, no significant associations were found for conditions such as arterial aneurysms or ischemic stroke. In combined analyses, mood swings were associated with a higher risk of CHD (OR: 2.21, 95% CI: 1.64-2.97, P < .01), heart failure (OR: 1.74, 95% CI: 1.21-2.50, P < .01), and other CVDs. This study revealed a causal link between mood swings and various CVDs, highlighting intriguing findings. This suggests that implementing proper psychological interventions to stabilize mood may be beneficial for preventing negative cardiovascular events.

MedicineVol. 103(51)
Xinjiang Medical University (CN), First Affiliated Hospital of Xinjiang Medical University (CN)
Good health and well-being
Openalex Percentile: Top 23%
Genetic Associations and Epidemiology
0.55
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