Characterizing a Low-Density Neutrophil gene signature in acute and chronic infections and its impact on disease severity

签名(拓扑) 基因签名 疾病 基因 医学 免疫学 内科学 生物 遗传学 基因表达 数学 几何学
作者
Matheus Aparecido de Toledo,Joana Lima,Reinaldo Salomão,Giuseppe Gianini Figueirêdo Leite
标识
DOI:10.1101/2024.11.01.621545
摘要

Abstract Low-density neutrophils (LDNs) or polymorphonuclear myeloid-derived suppressor cells (PMN-MDSC) are involved in the pathogenesis of cancer, autoimmune and infectious diseases. They are crucial in the host-response to invading pathogens, especially during acute illness, and are associated with poor prognosis in many infectious diseases. However, their gene expression profile and contribution to disease outcomes are not well described. We conducted a meta-analysis of gene expression datasets from peripheral blood mononuclear cells (PBMCs), focusing on patients with viral and bacterial infections. We identified a consensus set of 2,798 differentially expressed genes. Among these, 49 genes were commonly found in both the neutrophil degranulation pathway and the granule lumen-specific community. To validate this signature, we evaluated its expression in RNA-seq datasets, finding consistent upregulation of 24 genes in severe infections, 17 of them overlapped with genes overexpressed in CD16 int cells. We also investigated the abundance of LDN-related proteins in a PBMC proteomics dataset from a cohort of sepsis and septic shock patients, identifying 13 proteins with significantly higher levels in sepsis and septic shock patients compared to healthy controls. In conclusion, our study identified a pattern of 17 upregulated LDN genes, common to PBMC-transcriptome and RNA-seq, and up-regulated in CD16 int , associated with acute infections and severe clinical outcomes, marking the first time these genes have been collectively presented as a potential signature of LDNs in relation to disease severity. Further research with prospective cohorts is needed to validate this LDN signature and explore its clinical implications. Summary Sentence Meta-analysis revealed a 17-gene LDN signature associated with severity in acute infections, providing potential biomarkers for clinical outcomes in infectious diseases.
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
zqy完成签到,获得积分20
1秒前
2秒前
qiuyang发布了新的文献求助10
3秒前
YR完成签到 ,获得积分10
3秒前
4秒前
隐形的傲易完成签到 ,获得积分10
5秒前
科研通AI6.1应助小白采纳,获得10
6秒前
细心凌丝关注了科研通微信公众号
6秒前
7秒前
7秒前
7秒前
Df发布了新的文献求助10
8秒前
金城武完成签到,获得积分10
8秒前
Alexbirchurros完成签到 ,获得积分0
9秒前
贪玩代容完成签到,获得积分10
9秒前
9秒前
qiuyang完成签到,获得积分10
9秒前
10秒前
12秒前
12秒前
Frankll发布了新的文献求助10
13秒前
宋叻叻发布了新的文献求助10
14秒前
科研通AI2S应助叶伟帮采纳,获得10
14秒前
15秒前
聂桂花发布了新的文献求助10
15秒前
希望天下0贩的0应助光影采纳,获得10
16秒前
16秒前
17秒前
zxz应助Bella采纳,获得10
17秒前
Frankll完成签到,获得积分10
18秒前
19秒前
李拜天发布了新的文献求助10
20秒前
22秒前
星辰大海应助gao123采纳,获得10
23秒前
所所应助TYK采纳,获得10
23秒前
lulu发布了新的文献求助10
24秒前
整齐的泽洋完成签到,获得积分10
24秒前
回年年完成签到,获得积分10
25秒前
26秒前
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
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 6433747
求助须知:如何正确求助?哪些是违规求助? 8249034
关于积分的说明 17544387
捐赠科研通 5491437
什么是DOI,文献DOI怎么找? 2897083
邀请新用户注册赠送积分活动 1873654
关于科研通互助平台的介绍 1714310