Insomnia Associated With Increased Risk of Atopic Dermatitis: A Two-Sample Mendelian Randomization Study

IF 2.6 3区心理学 Q2 BEHAVIORAL SCIENCES

Brain and Behavior Pub Date : 2025-05-05 DOI:10.1002/brb3.70512

Xiuqin Ni, Xing Li, Jiaxin Li

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引用次数: 0

Abstract

Background

The causal relationships between sleep traits and allergic diseases remain unclear. This study sought to explore their causal associations using Mendelian randomization (MR) analysis.

Methods

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.

Results

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_g = 0.107, P = 0.039), but not between chronotype and allergic rhinitis (r_g = -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.

Conclusion

Chronotype and insomnia were causally associated with the efficacy of sleep-based interventions in allergic disease management.

Abstract Image

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失眠症与特应性皮炎风险增加相关：一项双样本孟德尔随机研究

背景睡眠特征与过敏性疾病之间的因果关系尚不清楚。本研究试图利用孟德尔随机化（MR）分析来探讨它们之间的因果关系。方法本研究利用全基因组关联研究（GWAS）的汇总数据，并选择与睡眠特征相关的遗传变异作为工具变量（IVs）。初步分析采用反方差加权（IVW）方法。为了进一步评估因果关系，我们应用了加权中位数、加权模式和MR-Egger回归。敏感度分析，如连锁不平衡评分（LDSC）回归、MR-Egger回归、Cochran’s Q检验、留一分析、MR-PRESSO等，以确认结果的稳健性。结果IVW分析显示，基因预测的失眠与特应性皮炎的高风险相关（OR = 1.79, 95% CI: 1.17-2.74, P = 0.01），偏爱晚上的睡眠类型与变应性鼻炎的低风险相关（IVW: OR = 0.99, 95% CI: 0.99-1.00, P = 0.02）。LDSC分析进一步发现失眠与特应性皮炎之间存在显著的遗传相关性（rg = 0.107, P = 0.039），但时间类型与过敏性鼻炎之间没有显著的遗传相关性（rg = -0.036, P = 0.339）。其他睡眠特征与过敏性疾病之间没有明显的联系。除了与过敏性哮喘相关外，MR-Egger截距试验未显示多效性。结论睡眠干预在变应性疾病治疗中的效果与睡眠类型和失眠有因果关系。

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来源期刊

Brain and Behavior BEHAVIORAL SCIENCES-NEUROSCIENCES

CiteScore

5.30

自引率

0.00%

发文量

352

审稿时长

14 weeks

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