Zhao Hongbo, Li Yuming, Yin Xianyong, Liu Zihao, Zhou Zijian, Sun Haohan, Fan Yang, Wang Shan, Xin Tao
Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China; Shandong Engineering Research Center of Precision Diagnosis and Treatment Technology for Neuro-oncology, Jinan, 250014, China; Shandong Institute of Brain Science and Brain-inspired Research, Jinan, 250117, China.
Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China; Shandong Engineering Research Center of Precision Diagnosis and Treatment Technology for Neuro-oncology, Jinan, 250014, China; Shandong Institute of Brain Science and Brain-inspired Research, Jinan, 250117, China; First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Neuroscience. 2025 Feb 6;566:1-8. doi: 10.1016/j.neuroscience.2024.12.028. Epub 2024 Dec 15.
The association of neuroticism and cerebral small vessel disease (CSVD) development remains unclear. In this study, we used Mendelian randomization (MR) to explore the potential role of neuroticism in CSVD development.
We collected data on ischemic stroke (IS); small vessel stroke (SVS); three neuroimaging markers altered in CSVD, including white matter hyperintensity (WMH), fractional anisotropy (FA), and mean diffusivity (MD); and three neuroticism clusters, including depressed affect, worry, sensitivity to environmental stress and adversity (SESA), from large-scale genome-wide association studies (GWAS). Bidirectional MR analyses were used to evaluate the association between neuroticism and CSVD, primarily estimated using the inverse variance weighted (IVW) method. The linkage disequilibrium score (LDSC) regression was employed to assess the association between various phenotypes.
LDSC analysis unveiled a noteworthy genetic correlation between depressed affect and IS (rg = 0.111, p = 0.001) as well as between worry and SVS (rg = -0.111, p = 0.032). Our study revealed a causal correlation between SESA and FA using both forward and reverse MR analyses (SESA on FA, odds ratio (OR) = 0.186 (0.071 to 0.483), p = 5.50 × 10; FA on SESA, OR = 0.996 (0.9916 to 0.9997), p = 0.035). Meanwhile, FA also exerted a statistical causal influence on depressed affect cluster (OR = 0.992 (0.987 to 0.997), p = 0.001).
This research suggests a potential correlation between certain aspects of neuroticism and CSVD, with further studies needed to better understand the causal relationship and its implications for patient intervention.
神经质与脑小血管病(CSVD)发展之间的关联尚不清楚。在本研究中,我们使用孟德尔随机化(MR)来探究神经质在CSVD发展中的潜在作用。
我们从大规模全基因组关联研究(GWAS)中收集了关于缺血性卒中(IS)、小血管卒中(SVS)、CSVD中改变的三种神经影像学标志物的数据,包括白质高信号(WMH)、分数各向异性(FA)和平均扩散率(MD),以及三种神经质集群的数据,包括抑郁情绪、担忧、对环境压力和逆境的敏感性(SESA)。双向MR分析用于评估神经质与CSVD之间的关联,主要使用逆方差加权(IVW)方法进行估计。连锁不平衡评分(LDSC)回归用于评估各种表型之间的关联。
LDSC分析揭示了抑郁情绪与IS之间(rg = 0.111,p = 0.001)以及担忧与SVS之间(rg = -0.111,p = 0.032)存在显著的遗传相关性。我们的研究通过正向和反向MR分析均揭示了SESA与FA之间的因果关系(SESA对FA,优势比(OR)= 0.186(0.071至0.483),p = 5.50×10;FA对SESA,OR = 0.996(0.9916至0.9997),p = 0.035)。同时,FA对抑郁情绪集群也有统计学上的因果影响(OR = 0.992(0.987至0.997),p = 0.001)。
本研究表明神经质的某些方面与CSVD之间存在潜在关联,需要进一步研究以更好地理解因果关系及其对患者干预的影响。