[Neutrophil extracellular trap increase the risk of sepsis: a two-sample, one-way Mendelian randomization study].

孟德尔随机化 医学 全基因组关联研究 败血症 单核苷酸多态性 优势比 内科学 肿瘤科 遗传学 生物 基因型 遗传变异 基因
作者
Jian Wang,Yan Zhang,Lü Cheng,Yanxia Geng,Jun Lü,Zhou Jiang
出处
期刊:PubMed 卷期号:35 (10): 1045-1052
标识
DOI:10.3760/cma.j.cn121430-20230117-00030
摘要

To investigate the causal relationship between neutrophil extracellular trap (NET) and sepsis based on Mendelian randomization analysis.The genome wide association study (GWAS) dataset for the NET biomarker myeloperoxidase (MPO)-DNA complex based on Donkel et al. 's Rotterdam study (RS) and GWAS dataset for identifying sepsis from the UK biobank were selected to screen single nucleotide polymorphisms (SNPS) associated with MPO-DNA complex as instrumental variable (IV) for genetic variation, using MPO-DNA complex as exposure factor. Potential causal associations between MPO-DNA complex and the risk of occurrence of sepsis, 28-day death from sepsis, need for intensive care due to sepsis, and 28-day death from sepsis requiring intensive care were analyzed using a two-sample, one-way Mendelian randomization analysis primary analysis method of inverse analysis of variance (IVW). Potential pleiotropy was assessed using the MR Egger regression intercept test. Sensitivity analysis was performed using the "leave one out" test.The GWAS data were obtained from a European population of both sexes, and the screening criteria was based on the three main assumptions of Mendelian randomization, resulting in 22 SNP entering the Mendelian randomization analysis. The results of the Mendelian randomization causal association effect analysis using the IVW method showed that for every standard deviation increase in the level of the MPO-DNA complex, the risk of sepsis increased by approximately 18% [odds ratio (OR) = 1.18, 95% confidence interval (95%CI) was 1.07-1.29, P < 0.001], the risk of 28-day death from sepsis increased by approximately 51% (OR = 1.51, 95%CI was 1.27-1.81, P < 0.001), an increase of approximately 38% in the risk of occurrence of needing intensive care due to sepsis (OR = 1.38, 95%CI was 1.12-1.70, P = 0.002), and an increase of approximately 125% in the risk of 28-day death from sepsis requiring intensive care (OR = 2.25, 95%CI was 1.21-4.18, P = 0.01). MR Egger regression intercept test suggested that there was no horizontal pleiotropy in the included SNP, and the MR-PRESSO test did not find outliers. Sensitivity analysis suggested that the results of Mendelian randomization were robust.Rising NET can increase the risk of sepsis onset, progression and death as derived from Mendelian randomization analysis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
mneos完成签到,获得积分20
刚刚
来了来了完成签到 ,获得积分10
刚刚
文献达人完成签到,获得积分10
刚刚
顾岁岁发布了新的文献求助50
刚刚
yihanghh完成签到 ,获得积分10
刚刚
1秒前
感性的神级完成签到,获得积分10
1秒前
1秒前
尼古拉斯佩奇完成签到,获得积分10
2秒前
2秒前
Daisy发布了新的文献求助30
2秒前
天天向上完成签到,获得积分10
2秒前
超级幼旋应助顾良采纳,获得10
3秒前
3秒前
顾矜应助科研通管家采纳,获得10
4秒前
mzmz发布了新的文献求助10
4秒前
无极微光应助科研通管家采纳,获得20
4秒前
斯文败类应助科研通管家采纳,获得10
4秒前
今后应助科研通管家采纳,获得10
4秒前
星辰大海应助科研通管家采纳,获得10
4秒前
彭于晏应助科研通管家采纳,获得20
4秒前
科研通AI2S应助科研通管家采纳,获得10
4秒前
量子星尘发布了新的文献求助10
4秒前
Jasper应助科研通管家采纳,获得10
4秒前
彭于晏应助科研通管家采纳,获得30
5秒前
Stella应助科研通管家采纳,获得10
5秒前
星辰大海应助科研通管家采纳,获得10
5秒前
小马甲应助科研通管家采纳,获得10
5秒前
活力安南发布了新的文献求助10
5秒前
Stella应助科研通管家采纳,获得10
5秒前
李爱国应助科研通管家采纳,获得100
5秒前
Yvette发布了新的文献求助10
5秒前
5秒前
文献达人发布了新的文献求助10
5秒前
赘婿应助科研通管家采纳,获得10
5秒前
乐乐应助科研通管家采纳,获得10
5秒前
科研通AI6应助科研通管家采纳,获得10
6秒前
隐形曼青应助科研通管家采纳,获得10
6秒前
充电宝应助科研通管家采纳,获得10
6秒前
Zx_1993应助Akira采纳,获得50
6秒前
高分求助中
Encyclopedia of Immunobiology Second Edition 5000
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
The Victim–Offender Overlap During the Global Pandemic: A Comparative Study Across Western and Non-Western Countries 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 680
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5580294
求助须知:如何正确求助?哪些是违规求助? 4665110
关于积分的说明 14754799
捐赠科研通 4606614
什么是DOI,文献DOI怎么找? 2527832
邀请新用户注册赠送积分活动 1497247
关于科研通互助平台的介绍 1466314