Ni Xiuqin, Li Xing, Li Jiaxin
Department of Basic Medicine, School of Health Sciences, Jiangsu Food & Pharmaceutical Science College, Huai'an, Jiangsu, China.
Department of Neurology, Hongze District People's Hospital, Huai'an, Jiangsu, China.
Brain Behav. 2025 May;15(5):e70512. doi: 10.1002/brb3.70512.
The causal relationships between sleep traits and allergic diseases remain unclear. This study sought to explore their causal associations using Mendelian randomization (MR) analysis.
This study utilized summary-level data from genome-wide association studies (GWAS) and selected genetic variants associated with sleep traits as instrumental variables (IVs). For the primary analysis, the inverse-variance weighted (IVW) method was utilized. To further evaluate causal effects, we applied weighted median, weighted mode, and MR-Egger regression. Sensitivity analyses, such as linkage disequilibrium score (LDSC) regression, MR-Egger regression, Cochran's Q test, leave-one-out analysis, and MR-PRESSO, were carried out to confirm result robustness.
IVW analysis revealed that genetically predicted insomnia was causally associated with a higher risk of atopic dermatitis (OR = 1.79, 95% CI: 1.17-2.74, P = 0.01), and preferring an evening chronotype was causally associated with a lower risk of allergic rhinitis (IVW: OR = 0.99, 95% CI: 0.99-1.00, P = 0.02). The LDSC analysis further identified a significant genetic correlation between insomnia and atopic dermatitis (r = 0.107, P = 0.039), but not between chronotype and allergic rhinitis (r = -0.036, P = 0.339). No significant connections were identified between other sleep traits and allergic diseases. The MR-Egger intercept test did not indicate pleiotropy, except for the association with allergic asthma.
Chronotype and insomnia were causally associated with the efficacy of sleep-based interventions in allergic disease management.
睡眠特征与过敏性疾病之间的因果关系仍不明确。本研究旨在使用孟德尔随机化（MR）分析来探索它们之间的因果关联。
本研究利用全基因组关联研究（GWAS）的汇总水平数据，并选择与睡眠特征相关的基因变异作为工具变量（IVs）。对于主要分析，采用逆方差加权（IVW）方法。为了进一步评估因果效应，我们应用了加权中位数、加权模式和MR-Egger回归。进行了敏感性分析，如连锁不平衡评分（LDSC）回归、MR-Egger回归、 Cochr an检验、留一法分析和MR-PRESSO，以确认结果的稳健性。
IVW分析显示，遗传预测的失眠与特应性皮炎风险较高存在因果关联（OR = 1.79，95%CI：1.17 - 2.74，P = 0.01），而偏好晚睡型生物钟与过敏性鼻炎风险较低存在因果关联（IVW：OR = 0.99，95%CI：0.99 - 1.00，P = 0.02）。LDSC分析进一步确定失眠与特应性皮炎之间存在显著的遗传相关性（r = 0.107，P = 0.039），但生物钟与过敏性鼻炎之间不存在显著相关性（r = -0.036，P = 0.339）。未发现其他睡眠特征与过敏性疾病之间存在显著关联。除了与过敏性哮喘的关联外，MR-Egger截距检验未表明存在多效性。
生物钟类型和失眠与基于睡眠的干预措施在过敏性疾病管理中的疗效存在因果关联。
