Chen Xin, Zhang Kai, Cheng Zheng, Wang Qianyi, Zhao Zhibai, Jiang Qianglin
Department of Oral and Maxillofacial Surgery, Jiangyin People's Hospital Affiliated to Nantong University, Jiangsu, China.
Department of Cardiology, Jiangyin People's Hospital Affiliated to Nantong University, Jiangsu, China.
Int Dent J. 2025 Jun 19;75(4):100867. doi: 10.1016/j.identj.2025.100867.
Previous observational studies have reported an association between obesity and Bell's palsy (BP), but the causality and the underlying mediating pathways remain unclear. We aimed to investigate the causal effects of adiposity across the life course on BP and to identify potential mediators in this relationship.
Utilizing summary statistics from genome-wide association studies predominantly of European ancestry, we conducted univariable and multivariable Mendelian randomization (MR) to estimate overall and independent effects of 5 adiposity-related traits (birth weight, childhood body mass index [BMI], adult BMI, adult body fat percentage, and adult waist circumference) on BP. Two-step MR was employed to assess the mediating role of metabolic and inflammatory traits. Sensitivity analyses were performed to evaluate robustness.
Univariable MR revealed that genetically predicted adult BMI (OR: 1.29, 95% CI: 1.11-1.49, P = .001), body fat percentage (OR: 1.33, 95% CI: 1.08-1.65, P = .008), and waist circumference (OR: 1.29, 95% CI: 1.08-1.55, P = .005) were significantly associated with increased risk of BP. Multivariable MR confirmed an independent causal effect of adult BMI after adjusting for birth weight and childhood BMI. Two-step MR further identified glucose levels as a partial mediator, accounting for 23.8% (95% CI: 4.9%-42.6%) of the total effect. Findings were consistent across sensitivity analyses.
Higher genetically predicted adult BMI could increase the risk of BP, partly mediated by impaired glucose regulation.
既往观察性研究报告了肥胖与贝尔麻痹(BP)之间存在关联,但因果关系及潜在的中介途径仍不明确。我们旨在研究一生中肥胖对BP的因果效应,并确定这种关系中的潜在中介因素。
利用主要来自欧洲血统人群的全基因组关联研究的汇总统计数据,我们进行了单变量和多变量孟德尔随机化(MR)分析,以估计5种肥胖相关性状(出生体重、儿童体重指数[BMI]、成人BMI、成人身体脂肪百分比和成人腰围)对BP的总体和独立效应。采用两步MR法评估代谢和炎症性状的中介作用。进行敏感性分析以评估稳健性。
单变量MR分析显示,基因预测的成人BMI(比值比:1.29,95%置信区间:1.11 - 1.49,P = 0.001)、身体脂肪百分比(比值比:1.33,95%置信区间:1.08 - 1.65,P = 0.008)和腰围(比值比:1.29,95%置信区间:1.08 - 1.55,P = 0.005)与BP风险增加显著相关。多变量MR分析在调整出生体重和儿童BMI后,证实了成人BMI的独立因果效应。两步MR分析进一步确定血糖水平为部分中介因素,占总效应的23.8%(95%置信区间:4.9% - 42.6%)。敏感性分析结果一致。
基因预测的较高成人BMI可能会增加BP风险,部分是由葡萄糖调节受损介导的。