Enhancing insight into ferroptosis mechanisms in sepsis: A genomic and pharmacological approach integrating single-cell sequencing and Mendelian randomization

孟德尔随机化 多效性 表达数量性状基因座 计算生物学 生物 基因组学 败血症 遗传学 精密医学 生物信息学 表型 遗传变异 基因 单核苷酸多态性 基因组 免疫学 基因型
作者
Yuanqi Zhao,Zijian Zhou,Xiuyu Cui,Yiwei Yu,Ping Yan,Weidong Zhao
出处
期刊:International Immunopharmacology [Elsevier BV]
卷期号:140: 112910-112910
标识
DOI:10.1016/j.intimp.2024.112910
摘要

This research investigated the intricate relationship between ferroptosis and sepsis by utilizing advanced genomic and pharmacological methodologies. Specifically, we obtained expression quantitative trait loci (eQTLs) for 435 genes associated with ferroptosis from the eQTLGen Consortium and detected notable cis-eQTLs for 281 of these genes. Next, we conducted a detailed analysis to assess the impact of these eQTLs on susceptibility to sepsis using Mendelian randomization (MR) with data from a cohort of 10,154 sepsis patients and 452,764 controls sourced from the UK Biobank. MR analysis revealed 16 ferroptosis-related genes that exhibited significant associations with sepsis outcomes. To bolster the robustness of these findings, sensitivity analyses were performed to assess pleiotropy and heterogeneity, thus confirming the reliability of the causal inferences. Furthermore, single-cell RNA sequencing data from sepsis patients offered a detailed examination of gene expression profiles, demonstrating varying levels of ferroptosis marker expression across different cell types. Pathway enrichment analysis utilizing gene set enrichment analysis (GSEA) further revealed the key biological pathways involved in the progression of sepsis. Additionally, the use of computational molecular docking facilitated the prediction of interactions between identified genes and potential therapeutic compounds, highlighting novel drug targets. In conclusion, our integrated approach combining genomics and pharmacology offers valuable insights into the involvement of ferroptosis in sepsis, laying the groundwork for potential therapeutic strategies targeting this cell death pathway to enhance sepsis management.
最长约 10秒,即可获得该文献文件

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
manan发布了新的文献求助10
1秒前
筱筱完成签到 ,获得积分10
1秒前
4秒前
脑洞疼应助山淮采纳,获得10
7秒前
领导范儿应助单纯冥王星采纳,获得10
7秒前
8秒前
刻苦慕晴发布了新的文献求助30
8秒前
9秒前
身体健康完成签到,获得积分10
11秒前
LHF发布了新的文献求助10
12秒前
狂野老黑完成签到,获得积分10
12秒前
xd发布了新的文献求助10
13秒前
13秒前
14秒前
文茵完成签到,获得积分10
19秒前
111完成签到,获得积分10
19秒前
龙哥发布了新的文献求助10
20秒前
求助完成签到,获得积分10
22秒前
呆萌的源智完成签到,获得积分10
22秒前
zhiwei发布了新的文献求助10
22秒前
Singularity应助有热心愿意采纳,获得10
23秒前
23秒前
无花果应助111采纳,获得10
24秒前
月球上的人完成签到,获得积分10
24秒前
科研通AI5应助ll200207采纳,获得10
26秒前
ning完成签到,获得积分10
29秒前
希望天下0贩的0应助尘扬采纳,获得10
30秒前
提莫silence完成签到 ,获得积分10
33秒前
852应助登山人采纳,获得10
33秒前
Jason发布了新的文献求助10
35秒前
0522关注了科研通微信公众号
37秒前
米山完成签到,获得积分10
37秒前
健壮的书桃完成签到,获得积分20
38秒前
一个西瓜完成签到 ,获得积分10
39秒前
40秒前
40秒前
田様应助笑点低的飞扬采纳,获得10
41秒前
fengw420完成签到,获得积分10
45秒前
温暖眼神完成签到,获得积分10
46秒前
海猫食堂完成签到,获得积分10
47秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Technologies supporting mass customization of apparel: A pilot project 450
China—Art—Modernity: A Critical Introduction to Chinese Visual Expression from the Beginning of the Twentieth Century to the Present Day 430
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
The Healthy Socialist Life in Maoist China, 1949–1980 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3789463
求助须知:如何正确求助?哪些是违规求助? 3334462
关于积分的说明 10270181
捐赠科研通 3050926
什么是DOI,文献DOI怎么找? 1674234
邀请新用户注册赠送积分活动 802535
科研通“疑难数据库(出版商)”最低求助积分说明 760742