■观察性研究报道了循环细胞因子与脓毒症之间的关联。然而,这些因素之间的确切因果关系尚不清楚.这项研究的目的是在孟德尔随机化(MR)框架内使用遗传数据探索循环细胞因子与脓毒症之间的因果关系。
■我们进行了两个样本的MR分析,以调查欧洲血统个体中的这种因果关系。使用公开可用的全基因组关联研究(GWAS)统计。我们选择了与循环细胞因子显着相关的合格的仪器单核苷酸多态性(SNP)。进行了多种MR分析方法,其中包括逆方差加权(IVW),加权中位数,MR-Egger,加权模式,简单模式,和MR多效性残差和离群值(MR-PRESSO)方法。
■我们发现证据支持遗传预测的循环水平对降低脓毒症风险的因果作用,包括RANTES(OR=0.920,95%CI:0.849~0.997,P=0.041)和碱性成纤维细胞生长因子(basic-FGF)(OR=0.869,95%CI:0.766~0.986,P=0.029)。此外,MR分析β-神经生长因子(β-NGF)与脓毒症呈正相关(OR=1.120,95%CI:1.037~1.211,P=0.004)。MR-Egger的结果,加权中位数,加权模式,和简单模式方法与IVW估计一致。敏感性分析显示,没有水平多效性使因果估计产生偏差。
■这项MR研究提供了第一个新的证据,表明遗传预测了RANTES循环水平的因果关系,碱性FGF,和β-NGF与脓毒症风险改变。这些发现揭示了这些细胞因子在脓毒症发病机制中的潜在参与。虽然需要额外的确认,这些结果为脓毒症中细胞因子介质的研究提供了新的见解,并提示了未来有希望的研究方向.
Observational studies have reported an association between circulating cytokines and sepsis. However, the precise causal relationship between these factors remains unclear. The objective of this
study was to explore the causal link between circulating cytokines and sepsis using genetic data within the framework of Mendelian Randomization (MR).
We performed a two-sample MR analysis to investigate this causality relationship in individuals of European ancestry. The publicly available genome-wide association studies (GWAS) statistics were used. We selected eligible instrumental single nucleotide polymorphisms (SNPs) that were significantly related to the circulating cytokines. Multiple MR analysis approaches were carried out, which included inverse variance weighted (IVW), Weighted Median, MR-Egger, Weighted Mode, Simple Mode, and MR pleiotropy residual sum and outlier (MR-PRESSO) methods.
We found evidence to support the causal role of genetically predicted circulating levels on decreased risk of sepsis, including RANTES (OR = 0.920, 95% CI: 0.849-0.997, P = 0.041) and basic fibroblast growth factor (basic-FGF) (OR = 0.869, 95% CI: 0.766-0.986, P = 0.029). Additionally, MR analysis positive causal association of between beta-nerve growth factor (β-NGF) and sepsis (OR = 1.120, 95% CI: 1.037-1.211, P = 0.004). The results of MR-Egger, Weighted Median, Weighted Mode, and Simple Mode methods were consistent with the IVW estimates. Sensitivity analysis showed no horizontal pleiotropy to bias the causal estimates.
This MR
study provides first novel evidence that genetically predicted causal association of circulating levels of RANTES, basic-FGF, and β-NGF with altered sepsis risk. The findings shed light on the potential involvement of these cytokines in sepsis pathogenesis. Although requiring additional confirmation, the results contribute new insights into cytokine mediators in sepsis and suggest promising future research directions.