Multiplex Assessment of Serum Chemokines CCL2, CCL5, CXCL1, CXCL10, and CXCL13 Following Traumatic Brain Injury

CCL5 医学 神经炎症 CXCL1型 创伤性脑损伤 内科学 格拉斯哥昏迷指数 格拉斯哥结局量表 趋化因子 麻醉 免疫学 炎症 精神科 免疫系统 T细胞 白细胞介素2受体
作者
Yu‐Wen Chen,Ying Wang,Jian Xu,Tingting Hou,Jing Zhu,Ying‐Zi Jiang,Liying Sun,Chunling Huang,Lulu Sun,Su Liu
出处
期刊:Inflammation [Springer Science+Business Media]
卷期号:46 (1): 244-255 被引量:55
标识
DOI:10.1007/s10753-022-01729-7
摘要

Chemokines may promote neuroinflammation following traumatic brain injury (TBI), thereby exacerbating secondary injury. This study was designed to investigate the contributions of chemokines (CCL2, CCL5, CXCL1, CXCL10, and CXCL13) to TBI severity and clinical outcome. Peripheral blood was drawn from 92 TBI patients on admission, and 40 controls were recruited. Serum concentrations of CCL2, CCL5, CXCL1, CXCL10, and CXCL13 on admission were measured by ELISA. Preoperative clinical severity was evaluated using the Glasgow Coma Scale (GCS), and clinical outcome at 90 days post-TBI was evaluated using the Glasgow Outcome Scale (GOS). The associations were evaluated by calculating Spearman's correlation coefficients. A binary logistic regression model was used to identify clinicodemographic factors influencing outcome, and ROC curves were constructed. Serum concentrations of CCL2, CCL5, CXCL1, CXCL10, and CXCL13 were elevated significantly after TBI and negatively correlated with GCS and GOS scores except CCL5. CCL2 may be considered as an independent predictor to predict severity and outcome. Moreover, combination of GCS score, CCL2, and CXCL10 can be a better assessment prognosis of moderate and severe TBI.
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
bd完成签到 ,获得积分10
刚刚
优雅的白云完成签到,获得积分10
1秒前
1秒前
莉莉发布了新的文献求助10
1秒前
2秒前
HJ完成签到,获得积分20
2秒前
小二郎应助照烧邱刀鱼采纳,获得10
2秒前
Akim应助照烧邱刀鱼采纳,获得10
2秒前
FashionBoy应助照烧邱刀鱼采纳,获得10
3秒前
在水一方应助照烧邱刀鱼采纳,获得10
3秒前
酸奶蛋羹应助照烧邱刀鱼采纳,获得10
3秒前
深情安青应助照烧邱刀鱼采纳,获得10
3秒前
传奇3应助照烧邱刀鱼采纳,获得10
3秒前
斯文败类应助照烧邱刀鱼采纳,获得10
3秒前
慕青应助汪进辉_Will采纳,获得10
4秒前
专注向雪发布了新的文献求助10
4秒前
Ava应助小利采纳,获得10
4秒前
HJ发布了新的文献求助10
6秒前
7秒前
英姑应助Horizon采纳,获得10
7秒前
ELSEAA完成签到,获得积分10
8秒前
9秒前
11秒前
11秒前
等不及完成签到 ,获得积分10
11秒前
ELSEAA发布了新的文献求助10
12秒前
XBK发布了新的文献求助10
13秒前
14秒前
愉快鞋子完成签到 ,获得积分10
15秒前
xuan发布了新的文献求助10
15秒前
16秒前
19秒前
20秒前
研友_VZG7GZ应助成功的院士采纳,获得10
20秒前
corn_mosnter完成签到,获得积分10
20秒前
huiwanfeifei发布了新的文献求助10
21秒前
酸奶蛋羹应助标致数据线采纳,获得10
22秒前
xuan发布了新的文献求助10
25秒前
26秒前
26秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583507
求助须知:如何正确求助?哪些是违规求助? 9162219
关于积分的说明 19606485
捐赠科研通 7165541
什么是DOI,文献DOI怎么找? 3266283
关于科研通互助平台的介绍 2431182
邀请新用户注册赠送积分活动 2257764