Wu Yang, Lin Yi, Zhang Mengpei, He Ke, Tian Guihua
Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China.
Front Neurol. 2024 Jul 2;15:1380719. doi: 10.3389/fneur.2024.1380719. eCollection 2024.
This research explores the causal association between circulating inflammatory markers and the development of sciatica, a common and debilitating condition. While previous studies have indicated that inflammation may be a factor in sciatica, but a thorough genetic investigation to determine a cause-and-effect relationship has not yet been carried out. Gaining insight into these interactions may uncover novel treatment targets.
We utilized data from the OpenGWAS database, incorporating a large European cohort of 484,598 individuals, including 4,549 sciatica patients. Our study focused on 91 distinct circulating inflammatory markers. Genetic variations were employed as instrumental variables (IVs) for these markers. The analysis was conducted using inverse variance weighting (IVW) as the primary method, supplemented by weighted median-based estimation. Validation of the findings was conducted by sensitivity studies, utilizing the R software for statistical computations.
The analysis revealed that 52 out of the 91 inflammatory markers studied showed a significant causal association with the risk of developing sciatica. Key markers like CCL2, monocyte chemotactic protein-4, and protein S100-A12 demonstrated a positive correlation. In addition, there was no heterogeneity or horizontal pleiotropy in these results. Interestingly, a reverse Mendelian randomization analysis also indicated potential causative effects of sciatica on certain inflammatory markers, notably Fms-related tyrosine kinase 3 ligands.
The study provides robust evidence linking specific circulating inflammatory markers with the risk of sciatica, highlighting the role of inflammation in its pathogenesis. These findings could inform future research into targeted treatments and enhance our understanding of the biological mechanisms underlying sciatica.
本研究探讨循环炎症标志物与坐骨神经痛(一种常见且使人衰弱的疾病)发展之间的因果关系。虽然先前的研究表明炎症可能是坐骨神经痛的一个因素,但尚未进行全面的基因研究以确定因果关系。深入了解这些相互作用可能会发现新的治疗靶点。
我们利用了OpenGWAS数据库中的数据,该数据库纳入了一个由484,598名个体组成的大型欧洲队列,其中包括4,549名坐骨神经痛患者。我们的研究聚焦于91种不同的循环炎症标志物。基因变异被用作这些标志物的工具变量(IVs)。分析主要采用逆方差加权(IVW)方法进行,并辅以基于加权中位数的估计。利用R软件进行统计计算,通过敏感性研究对结果进行验证。
分析显示,所研究的91种炎症标志物中有52种与患坐骨神经痛的风险存在显著因果关系。关键标志物如CCL2、单核细胞趋化蛋白-4和蛋白S100-A12呈正相关。此外,这些结果不存在异质性或水平多效性。有趣的是,反向孟德尔随机化分析还表明坐骨神经痛对某些炎症标志物有潜在的因果效应,特别是Fms相关酪氨酸激酶3配体。
该研究提供了有力证据,将特定的循环炎症标志物与坐骨神经痛风险联系起来,突出了炎症在其发病机制中的作用。这些发现可为未来针对性治疗的研究提供参考,并增进我们对坐骨神经痛潜在生物学机制的理解。