Multiple coronary heart diseases are risk factors for mental health disorders: A mendelian randomization study

Meng, Tianwei; Liu, Zhiping; Liu, Jiawen; Zhang, Xiaobing; Li, Chengjia; Li, Jiarui; Wang, Boyu; He, Yinxiong; Fan, Zengguang; Xin, Shilong; Chen, Jia; Qie, Rui

doi:10.1016/j.hrtlng.2024.04.009

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…We found no direct evidence suggesting that HF increases the odds of developing MDD. Similarly, one study found that the risk of developing mental health disorders, such as bipolar disorder and schizophrenia, was associated with HF, rather than MDD [ 24 ]. Therefore, we hypothesize that the presence of confounding factors may have influenced the results of the epidemiological study.…”

Section: Discussionmentioning

confidence: 99%

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Major depression disorder and heart failure: A two-sample bidirectional Mendelian randomization study

Liu,

Lin,

Fan

et al. 2024

PLoS ONE

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Objective To determine whether a bidirectional causal relationship exists between major depressive disorder (MDD) and heart failure (HF). Methods Our two-sample bidirectional Mendelian randomization (MR) study consisted of two parts. In the first part, we conducted a forward MR analysis where MDD was considered as the exposure and HF as the outcome. In the second part, a reverse MR analysis was performed, treating HF as the exposure and MDD as the outcome. Summary data on MDD and HF were obtained from the IEU Open GWAS database. Results Based on the results of the MR-Egger regression intercept test, there was no evidence of horizontal pleiotropy in this study. Furthermore, the IVW results consistently suggested estimates of causal effect values. The findings revealed that individuals with MDD had a 16.9% increased risk of HF compared to those without MDD (OR = 1.169, 95%CI: 1.044–1.308, P = 0.007). However, there was no evidence to support that HF would increase the risk of MDD (OR = 1.012, 95%CI: 0.932–1.099, P = 0.773). Heterogeneity in SNPs of MDD and HF was observed through the heterogeneity test and funnel plot. Additionally, the leave-one-out method did not identify any instances where a single SNP was biased toward or dependent on causation. Conclusion Our study provides evidence supporting a one-way causal relationship between MDD and HF. Specifically, MDD increases the risk of developing HF. However, our findings did not provide any evidence suggesting that HF increases the risk of developing MDD.

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Section: Discussionmentioning

confidence: 99%

“…bipolar disorder and schizophrenia, was associated with HF, rather than MDD [24]. Therefore, we hypothesize that the presence of confounding factors may have influenced the results of the epidemiological study.…”

Section: Plos Onementioning

confidence: 93%

Major depression disorder and heart failure: A two-sample bidirectional Mendelian randomization study

Liu,

Lin,

Fan

et al. 2024

PLoS ONE

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The protective role of basal metabolic rate in cognitive decline: evidence from epidemiological and genetic studies

Meng,

Liu,

Wang

et al. 2024

Postgraduate Medical Journal

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Purpose This study aims to explore the relationship between basal metabolic rate (BMR) and cognitive impairment and assess the potential of BMR as a protective factor against cognitive decline. Methods This investigation initially conducted a cross-sectional study of American adults from 2011 to 2014 using data from the National Health and Nutrition Examination Survey. It examined the correlation between participants’ BMR and cognitive functions, exploring the association with cognitive impairment. Subsequently, publicly available genome-wide association study data was used to examine potential causal links between genetically determined BMR and specific cognitive disorders using Mendelian randomization. Results Cross-sectional findings revealed a significant positive correlation between higher BMR and cognitive scores. In Mendelian randomization analysis, BMR demonstrated an inverse causal relationship with Alzheimer’s disease and Parkinson’s dementia, suggesting BMR as a potential protective factor against these diseases. No causal links were found with vascular dementia, Lewy body dementia, and frontotemporal dementia. Conclusion This study supports the role of BMR as a potential protective factor against Alzheimer’s disease and Parkinson’s dementia, suggesting that BMR may play an important role in preventing cognitive decline. However, due to the limitations of cross-sectional studies, further prospective studies and broader demographic samples are necessary to verify these results and explore underlying biological mechanisms. Key messages What is already known on this topic: Existing knowledge suggests a close relationship between BMR and health and cognitive functions, but detailed studies on its connection with specific cognitive impairments are still needed. What this study adds: This study found a significant positive correlation between higher BMR and cognitive improvement, potentially aiding in the prevention of Alzheimer’s and Parkinson’s dementia. How this study might affect research, practice, or policy: This finding guides public health strategies and personalized medicine, emphasizing the necessity for further research to validate BMR’s protective effects.

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Online phenotypes of depression symptoms are associated with polygenic risk scores of somatic diseases in a population-based cohort

Kibitov,

Rakitko,

Kasyanov

et al. 2024

S.S. Korsakov J. Neuro. Psych.

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Multiple coronary heart diseases are risk factors for mental health disorders: A mendelian randomization study

Cited by 3 publications

References 33 publications

Major depression disorder and heart failure: A two-sample bidirectional Mendelian randomization study

Major depression disorder and heart failure: A two-sample bidirectional Mendelian randomization study

The protective role of basal metabolic rate in cognitive decline: evidence from epidemiological and genetic studies

Online phenotypes of depression symptoms are associated with polygenic risk scores of somatic diseases in a population-based cohort

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