Wu Dong-Cai, Zhang Xin-Yue, Li An-Dong, Wang Tan, Wang Zi-Yuan, Song Si-Yu, Chen Meng-Zhu
College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
Artemisia annua Research Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
J Asthma. 2025 Apr;62(4):674-683. doi: 10.1080/02770903.2024.2434516. Epub 2024 Dec 19.
Neuroticism has been associated with asthma, but the nature of this relationship remains unclear due to limited understanding of the impact of psychological factors on asthma risk. While Neuroticism is known to affect various health outcomes, its specific role in respiratory conditions like asthma is not fully understood.
We conducted Mendelian randomization (MR) analyses using genome-wide association studies (GWAS) to explore the causal link between 12 Neuroticism traits and asthma. Various MR approaches, including MR-PRESSO, were employed, with validation through independent GWAS and the FinnGen dataset.
MR-PRESSO revealed a significant causal relationship between mood swings and asthma (OR: 1.927, 95% CI: 1.641-2.263), surpassing the Bonferroni-corrected threshold ( < 4.167 × 10³). Mood swings emerged as the only significant trait associated with asthma, with reverse MR analyses showing no causal links for other traits. Secondary analyses supported these findings. Multivariate analysis showed mood swings increased asthma risk, independent of smoking, BMI, and air pollution. Mediation analysis indicated that BMI partially mediates the mood swing-asthma relationship, accounting for 9.87% of the effect (95% CI: 4.54%-15.2%, = 2.850 × 10).
Mood swings elevate asthma risk, with BMI partially mediating this effect, highlighting a potentially significant pathway through which psychological traits influence asthma.
神经质与哮喘有关，但由于对心理因素对哮喘风险影响的理解有限，这种关系的本质仍不清楚。虽然已知神经质会影响各种健康结果，但其在哮喘等呼吸道疾病中的具体作用尚未完全了解。
我们使用全基因组关联研究（GWAS）进行孟德尔随机化（MR）分析，以探索12种神经质特征与哮喘之间的因果关系。采用了包括MR-PRESSO在内的各种MR方法，并通过独立的GWAS和芬兰基因组数据集进行验证。
MR-PRESSO显示情绪波动与哮喘之间存在显著因果关系（OR：1.927，95%CI：1.641-2.263），超过了Bonferroni校正阈值（<4.167×10³）。情绪波动是与哮喘相关的唯一显著特征，反向MR分析显示其他特征无因果关系。二次分析支持了这些发现。多变量分析表明，情绪波动会增加哮喘风险，与吸烟、BMI和空气污染无关。中介分析表明，BMI部分介导了情绪波动与哮喘的关系，占效应的9.87%（95%CI：4.54%-15.2%，P=2.850×10）。
情绪波动会增加哮喘风险，BMI部分介导了这种效应，突出了心理特征影响哮喘的一个潜在重要途径。
