Quantification of NETs‐associated markers by flow cytometry and serum assays in patients with thrombosis and sepsis

中性粒细胞胞外陷阱 流式细胞术 败血症 髓过氧化物酶 中性粒细胞弹性蛋白酶 血栓形成 细胞仪 内科学 全血 生物 医学 免疫学 炎症
作者
Koon Lee,Lauren Cavanaugh,Halina Leung,Yuping Feng,Zohra Ahmadi,Beng H. Chong,Freda Passam
出处
期刊:International Journal of Laboratory Hematology [Wiley]
卷期号:40 (4): 392-399 被引量:59
标识
DOI:10.1111/ijlh.12800
摘要

Abstract Introduction Neutrophil extracellular traps (NETs) are networks of extracellular fibres produced from neutrophil DNA with a pathogenic role in infection, thrombosis and other conditions. Reliable assays for measuring NETs are desirable as novel treatments targeting NETs are being explored for the treatment of these conditions. We compare a whole blood flow cytometry method with serum assays to measure NETs‐associated markers in patients with sepsis and thrombosis. Methods Patients with deep venous thrombosis (n = 25), sepsis (n = 21) and healthy controls (n = 23) were included in the study. Neutrophil surface NETs markers were determined by flow cytometry on whole blood samples by gating of neutrophils stained for surface citrullinated histone (H3cit) and myeloperoxidase (MPO). Serum double‐stranded (ds) DNA, MPO, myeloid‐related protein, nucleosomes, DNAse, elastase, human high‐mobility group box 1 and MPO‐DNA complexes were quantified as circulating markers of NETs. Results Neutrophil NETs markers by flow cytometry and serum NETs markers were significantly higher in patients with thrombosis and sepsis compared with healthy controls. Neutrophil NETs markers significantly correlated with the serum marker dsDNA. Conclusion Flow cytometry detection of neutrophil NETs markers is feasible in whole blood and correlates with serum markers of NETs. We propose the flow cytometry detection of MPO/H3cit positive neutrophils and serum dsDNA as simple methods to quantify cellular and extracellular NET markers in patients with thrombosis and sepsis.
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
旦皋完成签到 ,获得积分10
1秒前
完美世界应助qihangyang采纳,获得10
1秒前
科研通AI2S应助qihangyang采纳,获得10
1秒前
科研通AI2S应助qihangyang采纳,获得10
1秒前
归尘应助qihangyang采纳,获得10
1秒前
归尘应助qihangyang采纳,获得10
1秒前
Nexus应助qihangyang采纳,获得10
1秒前
归尘应助qihangyang采纳,获得10
1秒前
归尘应助qihangyang采纳,获得10
1秒前
做实验的猫应助qihangyang采纳,获得10
1秒前
科研通AI2S应助qihangyang采纳,获得10
1秒前
小苏打完成签到,获得积分10
1秒前
zz完成签到,获得积分10
2秒前
3秒前
mikaqyan完成签到,获得积分10
4秒前
vv的平行宇宙完成签到,获得积分10
4秒前
6秒前
7秒前
HFH应助我真的1饿死了采纳,获得10
8秒前
耿G完成签到 ,获得积分10
8秒前
always完成签到 ,获得积分10
9秒前
惠JUI发布了新的文献求助10
10秒前
科研通AI2S应助山狮子采纳,获得10
10秒前
所所应助云深不知处采纳,获得10
10秒前
100完成签到,获得积分10
12秒前
核桃发布了新的文献求助10
12秒前
华仔应助平淡的惜芹采纳,获得10
13秒前
特务兔完成签到 ,获得积分10
13秒前
16秒前
爱吃香菜完成签到,获得积分10
17秒前
yhtsyy完成签到 ,获得积分10
19秒前
yuanyuan发布了新的文献求助10
19秒前
平淡的惜芹完成签到,获得积分10
20秒前
李丽完成签到,获得积分20
21秒前
俺寻思者完成签到,获得积分10
21秒前
22秒前
大模型应助V0采纳,获得10
23秒前
天天快乐应助Hexazine采纳,获得10
23秒前
24秒前
as完成签到,获得积分10
24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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
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 6512619
求助须知:如何正确求助?哪些是违规求助? 8306067
关于积分的说明 17743620
捐赠科研通 5614443
什么是DOI,文献DOI怎么找? 2923811
邀请新用户注册赠送积分活动 1901047
关于科研通互助平台的介绍 1762754