孟德尔随机化
发病机制
变性(医学)
医学
γ干扰素
干扰素
上游(联网)
样品(材料)
病理
神经科学
免疫学
干扰素γ
生物
细胞因子
遗传学
基因
化学
计算机科学
基因型
计算机网络
色谱法
遗传变异
作者
Fang Gao,Chao Deng,Zhiqiang Wang,Beiyang Wang,Junqiao Lv,Lingling Sun
标识
DOI:10.3389/fneur.2024.1420942
摘要
Introduction Intervertebral disc degeneration (IVDD) is a complex disease caused by genetic and environmental factors, but its pathogenesis is still unclear. Although studies of inflammatory cytokines have been used in recent years to unravel the biological mechanisms of a variety of diseases, such analyses have not yet been applied to IVDD. Therefore, we used a Mendelian Randomization approach to explore the potential mechanisms underlying the pathogenesis of IVDD. Methods We obtained GWAS data from publicly available databases for inflammatory cytokines and IVDD, respectively, and explored the causal relationship between individual inflammatory cytokines and IVDD using instrumental variable (IV) analysis. We primarily used IVW methods to assess causality, while sensitivity, heterogeneity and multidirectionality analyses were performed for positive results ( p < 0.05). All analyses were performed using R software. Results In our study, we performed a two-sample MR analysis of 41 inflammatory cytokines to identify metabolites causally associated with IVDD. Ultimately, 2 serum metabolites associated with IVDD were identified (pval<0.05), IFN-γ and IL-18. sensitivity, heterogeneity, and Pleiotropy test analyses were performed for all results. Conclusion Our study identified a causal relationship between IFN-γ and IL-18 and IVDD. It is valuable for the monitoring and prevention of IVDD and the exploration of targeted drugs. However, more evidence is needed to validate our study.
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