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循环细胞因子对脓毒症的因果效应:一项孟德尔随机化研究。

The causal effects of circulating cytokines on sepsis: a Mendelian randomization study.

作者信息

Fang Weijun, Chai Chen, Lu Jiawei

机构信息

Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, China, Wuhan, China.

出版信息

PeerJ. 2024 Feb 1;12:e16860. doi: 10.7717/peerj.16860. eCollection 2024.

Abstract

BACKGROUND

In observational studies, sepsis and circulating levels of cytokines have been associated with unclear causality. This study used Mendelian randomization (MR) to identify the causal direction between circulating cytokines and sepsis in a two-sample study.

METHODS

An MR analysis was performed to estimate the causal effect of 41 cytokines on sepsis risk. The inverse-variance weighted random-effects method, the weighted median-based method, and MR-Egger were used to analyze the data. Heterogeneity and pleiotropy were assessed using MR-Egger regression and Cochran's Q statistic.

RESULTS

Genetically predicted beta-nerve growth factor (OR = 1.12, 95% CI [1.037-1.211], = 0.004) increased the risk of sepsis, while RANTES (OR = 0.92, 95% CI [0.849-0.997], = 0.041) and fibroblast growth factor (OR = 0.869, 95% CI [0.766-0.986], = 0.029) reduced the risk of sepsis. These findings were robust in extensive sensitivity analyses. There was no clear association between the other cytokines and sepsis risk.

CONCLUSION

The findings of this study demonstrate that beta-nerve growth factor, RANTES, and fibroblast growth factor contribute to sepsis risk. Investigations into potential mechanisms are warranted.

摘要

背景

在观察性研究中,脓毒症与细胞因子的循环水平之间存在因果关系不明的情况。本研究采用孟德尔随机化方法(MR)在一项两样本研究中确定循环细胞因子与脓毒症之间的因果方向。

方法

进行MR分析以估计41种细胞因子对脓毒症风险的因果效应。采用逆方差加权随机效应法、基于加权中位数的方法和MR-Egger法对数据进行分析。使用MR-Egger回归和 Cochr an Q统计量评估异质性和多效性。

结果

基因预测的β-神经生长因子(OR = 1.12,95%CI [1.037 - 1.211],P = 0.004)增加了脓毒症风险,而调节激活正常T细胞表达和分泌的趋化因子(RANTES,OR = 0.92,95%CI [0.849 - 0.997],P = 0.041)和成纤维细胞生长因子(OR = 0.869,95%CI [0.766 - 0.986],P = 0.029)降低了脓毒症风险。这些发现在广泛的敏感性分析中是稳健的。其他细胞因子与脓毒症风险之间没有明显关联。

结论

本研究结果表明,β-神经生长因子、调节激活正常T细胞表达和分泌的趋化因子和成纤维细胞生长因子与脓毒症风险有关。有必要对潜在机制进行研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23d7/10838533/2108b41155e4/peerj-12-16860-g001.jpg

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