体能科学

低握力与全身性癫痫的双样本孟德尔随机化研究

谭兆麟 (北京体育大学中国篮球运动学院), 马潇曼 (北京体育大学中国篮球运动学院)

摘要


背景:低握力作为一种健康状况的标志,近年来被广泛用于评估肌肉力量与体能水平,且与多种健康问题,如骨折风险、心血管疾病及肌肉萎缩等密切相关。然而,低握力与癫痫的因果关系,尤其是全身性癫痫的发病机制,尚未得到充分研究。癫痫作为一种神经系统疾病,给患者的日常生活带来了重大影响,因此,揭示低握力对癫痫发病的潜在作用,对于公共卫生和临床治疗具有重要意义。方法:本研究采用双向两样本孟德尔随机化(MR)分析法、文献资料法和逻辑分析法,探讨低握力与全身性癫痫之间的因果关系。通过全基因组关联研究(GWAS)汇总数据,选取低握力与全身性癫痫相关数据为研究对象,利用强相关单核苷酸多态性(SNP)作为工具变量,采用逆方差加权(IVW)模型评估两者的因果效应。进一步通过Cochran’s Q检验评估异质性,使用MR-Egger截距项和MR-PRESSO测试多效性,确保结果的稳健性和可靠性。此外,采用留一法进行敏感性分析,以验证结果的一致性。结果:研究结果表明,低握力与全身性癫痫之间存在显著的正向因果关系。逆方差加权(IVW)模型的比值比(OR)为1.489,95%置信区间为1.003至2.210,P=0.048,低于显著性水平0.05,表明低握力显著增加了全身性癫痫的发生风险。经过Cochrancc’sQ异质性检验,结果P大于0.05,说明被纳入的SNP没有任何异常,因此可以忽略异常情况下对因果关系的影响。MR-Egger模型的截距为-0.074(P=0.404),经过深入研究,我们发现暴露因素和结局变量之间没有基因多效性。留一法敏感性分析显示,逐步剔除单个SNP后,IVW模型结果与包含所有SNP时一致,且没有单个SNP显著影响总体效应估计产生显著影响。这表明,单一遗传工具不足以完全解释这些因果效应。敏感性分析未发现明显的偏倚,结果稳定可靠。研究表明,低握力可能是全身性癫痫的独立风险因素。这一发现对于全身性癫痫的预防和早期干预具有重要意义。虽然本研究结果提供了初步的证据,但仍需更多的纵向研究和临床验证,以进一步确认低握力在癫痫发病机制中的作用。结论:低握力水平可能通过增加全身性癫痫的患病风险,对癫痫的发生具有潜在影响。未来的研究应进一步探索低握力与其他神经系统疾病之间的关联,尤其是在不同年龄段和群体中的影响。

关键词


孟德尔随机化;低握力;全身性癫痫;因果关系

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参考


杨洲,陈毓铭,马乐,等.中国老年人握力和步速与衰弱关系的研究[J].首都公共卫生,2024,18(3):139-143.

KATZ J M,DEVINSKY O.Primary generalized epilepsy:a risk factor for seizures in labor and delivery?[J].Seizure,2003,12(4):217-219.

JIANG T,ZHANG X,ZHANG M,et al.Drug-resistant idiopathic generalized epilepsy:A meta-analysis of prevalence and risk factors[J].Epilepsy & Behavior,2023(146):109364.

马浩宇,乔鸿超,郝茜茜,等.体育锻炼、久坐行为与肌少症风险——孟德尔随机化分析[J].现代预防医学,2024,51(15):2824-2832.

TOMSON T,WALCZAK T,SILLANPAA M,et al.Sudden unexpected death in epilepsy:a review of incidence and risk factors[J].Epilepsia,2005(46):54-61.

董杰,吴建华.篮球运动员体能训练的探讨[J].西安体育学院学报,2005(S1):92-93.

SMITH G D,EBRAHIM S,LEWIS S,et al.Genetic epidemiology and public health:hope,hype,and future prospects[J].The Lancet,2005,366(9495):1484-1498.

LAWLOR D A,HARBORD R M,STERNE J A C,et al.Mendelian randomization: using genes as instruments for making causal inferences in epidemiology[J].Statistics in Medicine,2008,27(8):1133-1163.

HEMANI G,BOWDEN J,DAVEY SMITH G.Evaluating the potential role of pleiotropy in Mendelian randomization studies[J]. Human Molecular Genetics,2018,27(R2):195-208.

PRITCHARD J K,PRZEWORSKI M. Linkage disequilibrium in humans:models and data[J].The American Journal of Human Genetics,2001,69(1):1-14.

HEMANI G,ZHENG J,ELSWORTH B,et al.The MR-Base platform supports systematic causal inference across the human phenome[J].Elife,2018(7):34408.

DIXON-SUEN S C,LEWIS S J,MARTIN R M,et al.Physical activity, sedentary time and breast cancer risk:a Mendelian randomisation study[J].British Journal of Sports Medicine,2022,56(20):1157-1170.

HARTWIG F P,DAVIES N M,HEMANI G,et al.Two-sample Mendelian randomization: avoiding the downsides of a powerful,widely applicable but potentially fallible technique[J].International Journal of Epidemiology,2016,45(6):1717-1726.

BURGESS S,BUTTERWORTH A, THOMPSON S G.Mendelian randomization analysis with multiple genetic variants using summarized data[J].Genetic Epidemiology,2013,37(7):658-665.

BURGESS S,SMITH G D,DAVIES N M,et al.Guidelines for performing Mendelian randomization investigations:update for summer 2023[J].Wellcome Open Research,2019(4):186.

BURGESS S,BOWDEN J,FALL T,et al.Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants[J].Epidemiology,2017,28(1):30-42.

BURGESS S,ZUBER V,GKATZIONIS A,et al.Modal-based estimation via heterogeneity-penalized weighting: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid[J].International Journal of Epidemiology,2018,47(4):1242-1254.

GILL D.Heterogeneity between genetic variants as a proxy for pleiotropy in Mendelian randomization[J].JAMA Cardiology,2020,5(1):107-108.

BOWDEN J,DAVEY SMITH G,BURGESS S.Mendelian randomization with invalid instruments:effect estimation and bias detection through Egger regression[J].International Journal of Epidemiology,2015,44(2):512-525.

LEONG D P,TEO K K, RANGARAJAN S,et al.Prognostic value of grip strength: findings from the Prospective Urban Rural Epidemiology (PURE) study[J].The Lancet,2015,386(9990):266-273.

BOHANNON R W.Muscle strength:clinical and prognostic value of hand-grip dynamometry[J]. Current Opinion in Clinical Nutrition & Metabolic Care,2015,18(5):465-470.

CELIS-MORALES C A,WELSH P,LYALL D M,et al.Associations of grip strength with cardiovascular,respiratory,and cancer outcomes and all cause mortality:prospective cohort study of half a million UK Biobank participants[J].BMJ,2018(361).

TAEKEMA D G,GUSSEKLOO J,MAIER A B,et al.Handgrip strength as a predictor of functional,psychological and social health.A prospective population-based study among the oldest old[J].Age and Ageing,2010,39(3):331-337.

BOBOS P,NAZARI G,LU Z,et al.Measurement properties of the hand grip strength assessment: a systematic review with meta-analysis[J].Archives of Physical Medicine and Rehabilitation,2020,101(3):553-565.

陈淑妆.基于“健康中国2030”的体医融合优化方略[J].运动精品,2023,42(12):42-44.




DOI: https://doi.org/10.33142/jscs.v5i5.17667

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