GR.2 肥胖与多发性硬化症的严重程度:孟德尔随机研究

F. Alzamanan, Y. Ding, A. Harroud
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摘要

背景:肥胖越来越多地被认为与多发性硬化症(MS)的发病有关,但肥胖对疾病残疾的影响还没有得到很好的证实。本研究旨在利用孟德尔随机法(MR)调查肥胖与多发性硬化症严重程度之间的关系。研究方法通过双样本 MR 设置,我们研究了各种肥胖测量指标和脂肪分布指标对多发性硬化症严重程度的影响。体重指数(BMI)的遗传替代物是从一项对 806,834 名参与者进行的研究中选出的,而多发性硬化症的严重程度则是从一项对 12,584 名多发性硬化症患者进行的年龄相关多发性硬化症严重程度评分的遗传研究中确定的。研究结果主要分析显示,体重指数升高与多发性硬化症严重程度增加之间存在关联(P = 0.03)。全身脂肪的显著影响(P = 0.04)支持了这一点,这与肥胖会加重多发性硬化症残疾的假设一致。敏感性分析表明异质性和偏倚极小,表明存在潜在的因果效应。结论:我们的研究结果表明,肥胖会对多发性硬化症的长期残疾结果产生不利影响。这一遗传学证据与之前的一些观察性研究相吻合,加强了肥胖与多发性硬化症严重程度之间因果关系的论证。这些见解突出表明,肥胖是多发性硬化症治疗中一个潜在的可改变的风险因素,强调了体重管理在多发性硬化症治疗策略中的重要性。
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GR.2 Obesity and multiple sclerosis severity: a Mendelian randomization study
Background: Obesity is increasingly implicated in the development of multiple sclerosis (MS), but its effect on disease disability is less well-established. This study aims to investigate the association between obesity and MS severity utilizing Mendelian Randomization (MR). Methods: Employing a two-sample MR setting, we examined the effects of various obesity measures and adiposity distribution metrics on MS severity. Genetic proxies for body mass index (BMI) were selected from a study of 806,834 participants, with MS severity determined from a genetic study of age-related MS severity scores in 12,584 individuals with MS. Results: The main analysis reveals an association between elevated BMI and increased MS severity (P = 0.03). This is supported by a significant effect of whole body fat (P = 0.04), aligning with the hypothesis that obesity exacerbates MS disability. Sensitivity analyses suggest minimal heterogeneity and bias, indicating a potential causal effect. Conclusions: Our findings suggest that obesity adversely influences long-term disability outcomes in MS. The convergence of this genetic evidence with some of the prior observational studies strengthens the argument for a causal relationship between obesity and MS severity. These insights highlight obesity as a potentially modifiable risk factor in managing MS, underscoring the importance of weight management in MS treatment strategies.
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