Dingyu Du , Guipeng Zhao , Yukai Huang , Longyi Chen, Jinping Liu
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引用次数: 0
摘要
本研究旨在通过双向孟德尔随机化(MR)分析探讨颈椎病(CS)与重度抑郁症(MD)之间的因果关系。方法利用综合流行病学单位开放全基因组关联研究(GWAS)数据库的汇总数据,采用双向磁共振验证CS与MD之间的双向因果关系。采用MR Egger、加权中位数、逆方差加权(IVW)和简单模式方法,IVW结果优先考虑。进行敏感性分析,包括异质性试验、水平多效性试验和留一法,以确认MR结果的稳定性。结果在正向磁共振分析中,MD与CS之间存在因果关系(IVW: OR >;1、p <;0.05)。然而,反向MR分析显示CS和MD之间没有因果关系(p >;0.05)。敏感性分析未发现样本异质性,无水平多效效应,无显著偏倚,支持MR分析结果的可靠性。结论本研究提供的证据表明MD与CS有因果关系,而CS与MD没有因果关系。这些发现为这两种流行疾病的发病机制提供了新的见解。
Relationship between major depression and cervical spondylosis: A two-sample bidirectional mendelian randomization study
Background
This study aimed to explore the causal link between cervical spondylosis (CS) and major depression (MD) using a bidirectional Mendelian randomization (MR) analysis.
Methods
Bidirectional MR was employed to validate the bidirectional causal relationship between CS and MD using pooled data obtained from the Integrated Epidemiology Unit Open Genome Wide Association Study (GWAS) database. MR Egger, weighted median, inverse-variance weighted (IVW), and simple mode methods were used, with priority given to IVW results. Sensitivity analyses, including heterogeneity tests, horizontal pleiotropy tests, and leave-one-out methods, were performed to confirm the stability of the MR results.
Results
In a forward MR analysis, a causal effect was found between MD and CS (IVW: OR > 1, p < 0.05). However, a reverse MR analysis indicated no causal relationship between CS and MD (p > 0.05). Sensitivity analyses revealed no sample heterogeneity, no horizontal pleiotropy effect, and no significant bias, thus supporting the reliability of the MR analysis results.
Conclusion
This study provides evidence demonstrating that MD is causally associated with CS, whereas CS is not causally linked to MD. These findings offer novel insights into the pathogenesis of these two prevalent diseases.