Wang Qingduo, Qi Yajie, Li Yuping, Yan Zhengcun, Wang Xiaodong, Ma Qiang, Tang Can, Liu Xiaoguang, Wei Min, Zhang Hengzhu
Department of Neurosurgery, The Yangzhou School of Clinical Medicine of Dalian Medical University, Dalian, China.
Department of Neurosurgery, Clinical Medical College, Yangzhou University, Yangzhou, China.
Front Psychiatry. 2023 Jan 4;13:1049432. doi: 10.3389/fpsyt.2022.1049432. eCollection 2022.
Psychiatric traits have been associated with intracerebral hemorrhage (ICH) in observational studies, although their causal relationships remain uncertain. We used Mendelian randomization analyses to infer causality between psychiatric traits and ICH.
We collected data from genome-wide association studies of ICH ( = 361,194) and eight psychiatric traits among Europeans, including mood swings ( = 451,619), major depressive disorder ( = 480,359), attention-deficit/hyperactivity disorder ( = 53,293), anxiety ( = 459,560), insomnia ( = 462,341), schizophrenia ( = 77,096), neuroticism ( = 374,323), and bipolar disorder ( = 51,710). We performed a series of bidirectional two-sample Mendelian randomization and related sensitivity analyses. A Bonferroni corrected threshold of < 0.00625 (0.05/8) was considered to be significant, and < 0.05 was considered suggestive of evidence for a potential association.
Mendelian randomization analyses revealed suggestive positive causality of mood swings on ICH (odds ratio = 1.006, 95% confidence interval = 1.001-1.012, = 0.046), and the result was consistent after sensitivity analysis. However, major depressive disorder ( = 0.415), attention-deficit/hyperactivity disorder ( = 0.456), anxiety ( = 0.664), insomnia ( = 0.699), schizophrenia ( = 0.799), neuroticism ( = 0.140), and bipolar disorder ( = 0.443) are not significantly associated with the incidence of ICH. In the reverse Mendelian randomization analyses, no causal effects of ICH on mood swings ( = 0.565), major depressive disorder ( = 0.630), attention-deficit/hyperactivity disorder ( = 0.346), anxiety ( = 0.266), insomnia ( = 0.102), schizophrenia ( = 0.463), neuroticism ( = 0.261), or bipolar disorder ( = 0.985) were found.
Our study revealed that mood swings are suggestively causal of ICH and increase the risk of ICH. These results suggest the clinical significance of controlling mood swings for ICH prevention.
在观察性研究中,精神特质与脑出血(ICH)相关,但其因果关系仍不确定。我们使用孟德尔随机化分析来推断精神特质与ICH之间的因果关系。
我们收集了欧洲人ICH(n = 361,194)和八种精神特质的全基因组关联研究数据,包括情绪波动(n = 451,619)、重度抑郁症(n = 480,359)、注意力缺陷多动障碍(n = 53,293)、焦虑症(n = 459,560)、失眠症(n = 462,341)、精神分裂症(n = 77,096)、神经质(n = 374,323)和双相情感障碍(n = 51,710)。我们进行了一系列双向双样本孟德尔随机化及相关敏感性分析。经Bonferroni校正后,P < 0.00625(0.05/8)被认为具有显著性,P < 0.05被认为提示可能存在潜在关联的证据。
孟德尔随机化分析显示情绪波动对ICH有提示性正向因果关系(比值比 = 1.006,95%置信区间 = 1.001 - 1.012,P = 0.046),敏感性分析后结果一致。然而,重度抑郁症(P = 0.415)、注意力缺陷多动障碍(P = 0.456)、焦虑症(P = 0.664)、失眠症(P = 0.699)、精神分裂症(P = 0.799)、神经质(P = 0.140)和双相情感障碍(P = 0.443)与ICH发病率无显著关联。在反向孟德尔随机化分析中,未发现ICH对情绪波动(P = 0.565)、重度抑郁症(P = 0.630)、注意力缺陷多动障碍(P = 0.346)、焦虑症(P = 0.266)、失眠症(P = 0.102)、精神分裂症(P = 0.463)、神经质(P = 0.261)或双相情感障碍(P = 0.985)有因果效应。
我们的研究表明情绪波动对ICH有提示性因果关系,并增加了ICH风险。这些结果提示控制情绪波动对预防ICH具有临床意义。