Bidirectional causal association between ischemic stroke and five mental disorders

Abstract

ObjectiveTo explore the bidirectional causal association between ischemic stroke and five mental disorders from a genetic perspective using two‐sample Mendelian randomization (TSMR).MethodsSingle‐nucleotide polymorphisms (SNPs) associated with ischemic stroke were obtained from the genome‐wide association study (GWAS) database, and those closely related to the exposure phenotype and satisfying the three core assumptions of Mendelian randomization were selected as instrumental variables (IVs). The main TSMR analysis was conducted using the inverse variance‐weighted (IVW) method, and the robustness of the results was assessed using the weighted median, weighted mode, and MR Egger methods. Heterogeneity test, pleiotropy test, and sensitivity analysis were also conducted to further ensure the accuracy and stability of the research results.ResultsThis study found a positive correlation between ischemic stroke and depression [IVW method (FEM): OR = 1.002, 95%CI: 1.000–1.003, P = 0.023<0.05], but no significant causal association with schizophrenia, bipolar disorder, insomnia, or anxiety (P > 0.05). Reverse TSMR analysis showed no causal association between depression, schizophrenia, bipolar disorder, insomnia, anxiety, and ischemic stroke (P > 0.05).ConclusionThis study used TSMR to demonstrate from a genetic perspective that there is a positive correlation between ischemic stroke and depression, which increases the risk of depression. Proactive intervention for ischemic stroke might reduce the risk of depression.

Potential antidepressant effects of Traditional Chinese botanical drug formula Chaihu-Shugan-San and its active ingredients

“…The likelihood of severe depression is significantly higher among individuals with common physical illnesses such as cardiovascular diseases, cancer, and neurodegenerative diseases compared to the general population. Conversely, individuals with depression are at a greater risk of developing various physical illnesses like cardiovascular diseases ( Basiri et al, 2023 ), stroke ( Ji et al, 2023 ), and diabetes ( Qi et al, 2023 ). This high level of comorbidity is associated with worse outcomes, reduced treatment compliance, increased mortality rates, higher healthcare utilization, and costs.…”