Suppr超能文献

炎症生物标志物与谵妄:一项孟德尔随机化研究

Inflammatory biomarkers and delirium: a Mendelian randomization study.

作者信息

Yu Miao, Li Yuxuan, Li Baohua, Ge Qinggang

机构信息

Department of Nursing, Peking University Third Hospital, Beijing, China.

Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China.

出版信息

Front Aging Neurosci. 2023 Aug 15;15:1221272. doi: 10.3389/fnagi.2023.1221272. eCollection 2023.

Abstract

BACKGROUND

The association between inflammatory biomarkers and individual delirium symptoms remains controversial in observational studies. We investigated the relationship between inflammatory biomarkers and the risk of developing delirium.

METHODS

A bidirectional two-sample Mendelian randomization (MR) was performed. Genetic instruments associated with peripheral tumor necrosis factor-a (TNF-a) C-reactive protein (CRP), interleukin (IL)-1α, IL-1β, IL-2, IL-8, IL-6, soluble IL-6 receptor alpha (sIL-6Rα), and soluble gp130 were identified in three different large summary genome-wide association studies (GWAS) conducted in the European population. Summary-level statistics for delirium not induced by alcohol and other psychoactive substances were obtained from the FinnGen consortium (2,612 cases and 325,306 controls). The estimated causal effects were performed using instruments' variants at the genome-wide significant level ( < 5e-8 and < 5e-6), applying a linkage disequilibrium clumping approach with a threshold of < 0.001 for each of the exposures. Reverse causation was also performed. The inverse-variance weighted method (IVW), MR-Egger method, weighted median method, MR-Egger regression, and MR Pleiotropy RESidual Sum were used for MR analyses.

RESULTS

At the genome-wide significant level ( < 5e-8, < 0.001), genetically predicted sIL-6Rα was significantly associated with a decreased risk of delirium with less than three single-nucleotide polymorphisms (SNPs) in all three GWAS data sources (OR = 0.89, 95% CI: 0.79-0.96, = 0.0016; OR = 0.88, 95% CI: 0.79-0.97, = 0.008; OR = 0.88, 95% CI: 0.80-0.96, = 0.004). The causal relationship between sIL-6Rα and delirium became non-significant when a more liberal threshold of of < 5e-6 was applied (all > 0.05). At the two genome-wide significance levels ( < 5e-8 and < 5e-6), we found no evidence for the causal effects of peripheral TNF-α, CRP, IL-1α, IL-1β, IL-2, IL-6, IL-8, and soluble gp130 on delirium (all > 0.05). The MR-Egger intercept and MR-PRESSO results indicated that no SNP had possible pleiotropy (all > 0.05). Regarding the reverse, no evidence for an effect of delirium on these inflammatory biomarkers could be found (all > 0.05).

CONCLUSION

The results of this MR analysis did not support that peripheral TNF-α, CRP, IL-1α, IL-1β, IL-2, IL-6, sIL-6Rα, soluble gp130, and IL-8 were causally associated with delirium. More research is needed to explore the role of inflammatory factors in the pathogenesis of delirium.

摘要

背景

在观察性研究中,炎症生物标志物与个体谵妄症状之间的关联仍存在争议。我们调查了炎症生物标志物与发生谵妄风险之间的关系。

方法

进行了双向两样本孟德尔随机化(MR)研究。在欧洲人群中进行的三项不同的大型全基因组关联研究(GWAS)中,确定了与外周肿瘤坏死因子-α(TNF-α)、C反应蛋白(CRP)、白细胞介素(IL)-1α、IL-1β、IL-2、IL-8、IL-6、可溶性IL-6受体α(sIL-6Rα)和可溶性gp130相关的遗传工具。从芬兰基因组联盟获得了非酒精和其他精神活性物质所致谵妄的汇总统计数据(2612例病例和325306例对照)。使用全基因组显著水平(<5e-8和<5e-6)的工具变体进行估计因果效应,对每种暴露应用连锁不平衡聚类方法,阈值为<0.001。还进行了反向因果关系分析。采用逆方差加权法(IVW)、MR-Egger法、加权中位数法、MR-Egger回归法和MR多效性残差和法进行MR分析。

结果

在全基因组显著水平(<5e-8,<0.001)下,在所有三个GWAS数据源中,遗传预测的sIL-6Rα与谵妄风险降低显著相关,单核苷酸多态性(SNP)少于三个(OR = 0.89,95%CI:0.79-0.96,P = 0.0016;OR = 0.88,95%CI:0.79-0.97,P = 0.008;OR = 0.88,95%CI:0.80-0.96,P = 0.004)。当应用更宽松的P值阈值<5e-6时,sIL-6Rα与谵妄之间的因果关系变得不显著(所有P>0.05)。在两个全基因组显著水平(<5e-8和<5e-6)下,我们没有发现外周TNF-α、CRP、IL-1α、IL-1β、IL-2、IL-6、IL-8和可溶性gp130对谵妄有因果效应的证据(所有P>0.05)。MR-Egger截距和MR-PRESSO结果表明,没有SNP存在可能的多效性(所有P>0.05)。关于反向因果关系,未发现谵妄对这些炎症生物标志物有影响的证据(所有P>0.05)。

结论

该MR分析结果不支持外周TNF-α、CRP、IL-1α、IL-1β、IL-2、IL-6、sIL-6Rα、可溶性gp130和IL-8与谵妄存在因果关联。需要更多研究来探索炎症因子在谵妄发病机制中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8715/10464607/2a5bfe2aad17/fnagi-15-1221272-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验