杜雅明
,徐鑫梓
,王睿
,王俊力
,邵卫
,陈国华,.基于孟德尔随机化方法研究血清尿酸水平与脑小血管病之间的因果关系[J].神经损伤功能重建,2024,(11):621-623 |
基于孟德尔随机化方法研究血清尿酸水平与脑小血管病之间的因果关系 |
The Causal Relationship between Serum Uric Acid Levels and Cerebral Small Vessel Diseasebased on Mendelian Randomization Study |
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DOI: |
中文关键词: 孟德尔随机化 尿酸 脑小血管病 腔隙性梗死 白质高信号 |
英文关键词: Mendelian randomization uric acid cerebral small vessel disease lacunar infarction white matter
hyperintensities |
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中文摘要: |
目的:探究血清尿酸(SUA)水平是否与脑小血管病(CSVD)存在因果关系。方法:从已发表的全基
因组关联研究汇总数据获得SUA、腔隙性脑梗死(LI)、白质高信号(WMH)、各向异性分数(FA)和平均弥
散率(MD)的数据,筛选出与 SUA 强相关(F>10)的单核苷酸多态性(SNPs)作为工具变量,用逆方差加
权法、MR-Egger、加权中位数法方法进行因果分析,利用MR-Egger截距法和Cochran's Q检验进行异质性
和水平多效性检验。结果:逆方差加权法表明SUA与LI(OR=1.086,95%CI 0.959~1.230,P=0.193)、WMH
(OR=1.010,95% CI 0.956~1.066,P=0.725)、FA(OR=1.058,95% CI 0.848~1.320,P=0.617)和 MD(OR=
1.009,95%CI 0.790~1.288,P=0.943)无关,敏感性分析结果显示无异质性和水平多效性。结论:目前MR研
究表明SUA水平与CSVD之间不存在因果关系,但仍需规范化、大样本的临床研究和基于大规模GWAS的
MR研究更全面评估它们之间的关联性。 |
英文摘要: |
To explore whether there is a causal relation between serum uric acid (SUA) levels and
cerebral small vessel disease(CSVD). Methods: Data of SUA, lacunar infarction (LI), white matter
hyperintensitie (WMH), fractional anisotropy (FA) and mean diffusivity (MD) were obtained from published
genome-wide association study. Single nucleotide polymorphisms (SNPs) strongly associated with SUA
(F-statistic>10) were selected as instrumental variables, and causal analysis is carried out by inverse variance
weighted, MR-Egger, and Weighted median method. Meanwhile, the heterogeneity and horizontal pleiotropic
tests were performed using MR-Egger intercept test and Cochran's Q test. Results: Inverse variance weighted
showed that SUA was not associated with LI (OR=1.086, 95%CI 0.959~1.230, P=0.193), WMH (OR=1.010,
95%CI 0.956~1.066, P=0.725), FA (OR=1.058, 95%CI 0.848~1.320, P=0.617) and MD (OR=1.009, 95%CI
0.790~1.288, P=0.943). Moreover, sensitivity analysis showed no heterogeneity and horizontal pleiotropy.
Conclusion: Current MR Studies had shown no causal relationship between SUA and CSVD, but standardized,
large-sample clinical studies and large-scale GWAS-based MR Studies are needed to more fully evaluate the
association. |
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