摘要
目的:通过双向两样本孟德尔随机化(MR)方法探究疲乏与慢性疼痛之间的潜在因果关系。方法:在疲乏和慢性疼痛的全基因组关联研究(GWAS)汇总数据中分别提取显著相关且相互独立的变异位点作为工具变量。使用逆方差加权(IVW)、MR Egger回归、基于众数的简单估计(SM)、基于众数的加权估计(WM)和加权中位数(WME)进行双向两样本MR分析。结果:IVW方法显示疲乏频率的增加会显著增加慢性疼痛部位的数量(β=0.78,P<0.001),慢性疼痛部位数量的增加也会显著增加疲乏频率(β=0.35,P<0.001)。SM、WM和WME方法得出了相似的结果。结论:疲乏与慢性疼痛具有显著双向因果关系,应注意对该症状人群进行早期评估,及时干预。
Objective To explore the potential causal relationship between tiredness and chronic pain using bi-directional twosample Mendelian randomization(MR).Methods From the summary-level data of the genome-wide association study(GWAS)of tiredness and chronic pain,significant correlated and independent variation sites were extracted as instrumental variables.Inverse variance weighting(IVW),MR Egger regression,simple mode(SM),weighted mode(WM)and weighted median(WME)were used for the bi-directional two-sample MR analysis.Results IVW method showed that the increase of tiredness frequency significantly increased the number of chronic pain sites(β=0.78,P<0.001),and the increase of the number of chronic pain sites significantly increased the tiredness frequency(β=0.35,P<0.001).Similar results were obtained by SM,WM and WME methods.Conclusions There is a significant bi-directional causal relationship between tiredness and chronic pain,and attention should be paid to the early assessment and timely intervention in the population with these two symptoms.
作者
崔彦泽
王硕
CUI Yanze;WANG Shuo(School of Nursing,Xuzhou Medical University,Xuzhou,Jiangsu 221000,China)
出处
《医药前沿》
2024年第31期7-10,共4页
Journal of Frontiers of Medicine
基金
江苏省高等学校基础科学(自然科学)研究面上项目(22KJD320003)。
关键词
疲乏
慢性疼痛
孟德尔随机化研究
Tiredness
Chronic pain
Mendelian randomization analysis
