已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Causal associations between gut microbiota and sepsis: A two‐sample Mendelian randomization study

孟德尔随机化 败血症 医学 肠道菌群 免疫学 生物 遗传学 基因型 基因 遗传变异
作者
Jingya You,Xiaogang Bi,Kouxing Zhang,Dan Xie,Yiwen Chai,Sha Wen,Ying Xian,Min Fan,Wen Xu,Mingliang Li,Xiaofeng Yuan
出处
期刊:European Journal of Clinical Investigation [Wiley]
卷期号:53 (11) 被引量:4
标识
DOI:10.1111/eci.14064
摘要

Targeting the gut microbiota may become a new therapeutic to prevent and treat sepsis. Nonetheless, the causal relationship between specific intestinal flora and sepsis is still unclear.A two-sample Mendelian randomization study was performed using the summary statistics of gut microbiota from the largest available genome-wide association study (n = 18,340). The summary statistics of sepsis were obtained from the UK Biobank (n = 486,484). Inverse-variance weighted, weighted median and MR-Egger were used to examine the causal association between gut microbiota and sepsis. Cochrane's Q test, MR-Egger intercept test, MR-PRESSO Global test and Rucker's Q'-test were used for sensitivity analyses. The leave-one method was used for testing the stability of MR results, and Bonferroni-corrected was used to test the strength of the causal relationship between exposure and outcome.Nine intestinal microflora were found causally associated with sepsis, and 11 intestinal microflora were causally associated with 28-day death in sepsis. Among them, Order Victivallales had a strong causality with lower risk of sepsis (OR = 0.86, 95% CI: 0.78-0.94, p = .00165) and lower 28-day mortality of sepsis (OR = 0.68, 95% CI: 0.53-0.87, p = .00179) after Bonferroni-corrected test. No pleiotropy was detected.Through the two-sample MR analysis, we identified the specific intestinal flora that had a causal relationship with the risk and prognosis of sepsis at the level of gene prediction, which may provide helpful biomarkers for early disease diagnosis and potential therapeutic targets for sepsis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
林鹿发布了新的文献求助10
1秒前
ESLG完成签到,获得积分10
2秒前
Wendy发布了新的文献求助10
2秒前
3秒前
计蒙发布了新的文献求助10
3秒前
Sept6完成签到 ,获得积分10
3秒前
jesmina发布了新的文献求助10
4秒前
Vivy完成签到,获得积分10
5秒前
聪聪发布了新的文献求助10
7秒前
我要发文章完成签到 ,获得积分10
8秒前
Enola发布了新的文献求助10
9秒前
yyds完成签到,获得积分10
11秒前
学术界中的一条小咸鱼完成签到,获得积分10
11秒前
迅速的易巧完成签到 ,获得积分10
13秒前
蔡龙杰完成签到,获得积分10
15秒前
顺利的丹妗完成签到 ,获得积分10
15秒前
19秒前
20秒前
Ferry完成签到,获得积分10
22秒前
ZDTT完成签到,获得积分10
24秒前
印第安老斑鸠应助wanna采纳,获得10
24秒前
Kaleido完成签到,获得积分20
24秒前
numagok完成签到,获得积分10
25秒前
计蒙发布了新的文献求助10
26秒前
wanci应助随波逐流采纳,获得20
27秒前
Swipda完成签到 ,获得积分10
27秒前
31秒前
张杰完成签到,获得积分10
33秒前
LXY完成签到,获得积分10
34秒前
34秒前
小二郎应助不想睡觉采纳,获得10
37秒前
开朗的哈密瓜完成签到 ,获得积分10
38秒前
朴素的衣发布了新的文献求助10
38秒前
GingerF应助坚强的睿渊采纳,获得50
39秒前
41秒前
41秒前
42秒前
涵涵涵hh完成签到 ,获得积分10
42秒前
42秒前
44秒前
高分求助中
Malcolm Fraser : a biography 680
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Organic Reactions Volume 118 400
A Foreign Missionary on the Long March: The Unpublished Memoirs of Arnolis Hayman of the China Inland Mission 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6456654
求助须知:如何正确求助?哪些是违规求助? 8266896
关于积分的说明 17619973
捐赠科研通 5523594
什么是DOI,文献DOI怎么找? 2905213
邀请新用户注册赠送积分活动 1881890
关于科研通互助平台的介绍 1725541