Dynamic changes in human single‐cell transcriptional signatures during fatal sepsis

生物 败血症 计算生物学 感染性休克 免疫学 细胞生物学 基因表达谱 基因表达 细胞
作者
Xinru Qiu,Jiang Li,Jeff Bonenfant,Lukasz Jaroszewski,Aarti Mittal,Walter Klein,Adam Godzik,Meera G. Nair
出处
期刊:Journal of Leukocyte Biology [Wiley]
卷期号:110 (6): 1253-1268 被引量:1
标识
DOI:10.1002/jlb.5ma0721-825r
摘要

Systemic infections, especially in patients with chronic diseases, may result in sepsis: an explosive, uncoordinated immune response that can lead to multisystem organ failure with a high mortality rate. Patients with similar clinical phenotypes or sepsis biomarker expression upon diagnosis may have different outcomes, suggesting that the dynamics of sepsis is critical in disease progression. A within-subject study of patients with Gram-negative bacterial sepsis with surviving and fatal outcomes was designed and single-cell transcriptomic analyses of peripheral blood mononuclear cells (PBMC) collected during the critical period between sepsis diagnosis and 6 h were performed. The single-cell observations in the study are consistent with trends from public datasets but also identify dynamic effects in individual cell subsets that change within hours. It is shown that platelet and erythroid precursor responses are drivers of fatal sepsis, with transcriptional signatures that are shared with severe COVID-19 disease. It is also shown that hypoxic stress is a driving factor in immune and metabolic dysfunction of monocytes and erythroid precursors. Last, the data support CD52 as a prognostic biomarker and therapeutic target for sepsis as its expression dynamically increases in lymphocytes and correlates with improved sepsis outcomes. In conclusion, this study describes the first single-cell study that analyzed short-term temporal changes in the immune cell populations and their characteristics in surviving or fatal sepsis. Tracking temporal expression changes in specific cell types could lead to more accurate predictions of sepsis outcomes and identify molecular biomarkers and pathways that could be therapeutically controlled to improve the sepsis trajectory toward better outcomes.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
张晓完成签到 ,获得积分10
1秒前
海绵宝宝完成签到,获得积分10
1秒前
叶子完成签到,获得积分10
1秒前
Bian完成签到,获得积分10
1秒前
2秒前
2秒前
科研通AI2S应助6小薇123采纳,获得10
2秒前
图书馆资源少完成签到,获得积分10
3秒前
小陈发布了新的文献求助10
3秒前
初空月儿完成签到,获得积分10
3秒前
Jasper应助熊玉然采纳,获得10
3秒前
fagfagsf发布了新的文献求助10
4秒前
小张发布了新的文献求助10
4秒前
老张发布了新的文献求助30
4秒前
4秒前
一颗野生橘子完成签到,获得积分10
5秒前
5秒前
6秒前
全智甜完成签到,获得积分10
6秒前
7秒前
7秒前
8秒前
8秒前
8秒前
8秒前
8秒前
9秒前
9秒前
无私从露完成签到,获得积分10
9秒前
shawn发布了新的文献求助10
10秒前
小马甲应助kirirto采纳,获得10
10秒前
www发布了新的文献求助10
10秒前
小路发布了新的文献求助10
11秒前
11秒前
hww关注了科研通微信公众号
11秒前
tananna完成签到,获得积分10
11秒前
yy完成签到 ,获得积分10
11秒前
hmhu完成签到,获得积分10
12秒前
12秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
Foreign Policy of the French Second Empire: A Bibliography 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
XAFS for Everyone 500
Classics in Total Synthesis IV 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3144274
求助须知:如何正确求助?哪些是违规求助? 2795879
关于积分的说明 7816861
捐赠科研通 2451946
什么是DOI,文献DOI怎么找? 1304774
科研通“疑难数据库(出版商)”最低求助积分说明 627291
版权声明 601419