亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

COVID-19 and cytokine storm syndrome: are there lessons from macrophage activation syndrome?

2019年冠状病毒病(COVID-19) 2019-20冠状病毒爆发 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 炎症 免疫系统 巨噬细胞 噬血细胞性淋巴组织细胞增多症 促炎细胞因子 冠状病毒 先天免疫系统 大流行
作者
Michael J. Ombrello,Grant S. Schulert
出处
期刊:Translational Research [Elsevier BV]
卷期号:232: 1-12 被引量:16
标识
DOI:10.1016/j.trsl.2021.03.002
摘要

Although interest in storms has surged over the past decade, it was massively amplified in 2020 when it was suggested that a subset of patients with COVID-19 developed a form of cytokine storm. The concept of cytokine storm syndromes (CSS) encompasses diverse conditions or circumstances that coalesce around potentially lethal hyperinflammation with hemodynamic compromise and multiple organ dysfunction syndrome. Macrophage activation syndrome (MAS) is a prototypic form of CSS that develops in the context of rheumatic diseases, particularly systemic juvenile idiopathic arthritis. The treatment of MAS relies heavily upon corticosteroids and cytokine inhibitors, which have proven to be lifesaving therapies in MAS, as well as in other forms of CSS. Within months of the recognition of SARS-CoV2 as a human pathogen, descriptions of COVID-19 patients with hyperinflammation emerged. Physicians immediately grappled with identifying optimal therapeutic strategies for these patients, and despite clinical distinctions such as marked coagulopathy with endothelial injury associated with COVID-19, borrowed from the experiences with MAS and other CSS. Initial reports of patients treated with anti-cytokine agents in COVID-19 were promising, but recent large, better-controlled studies of these agents have had mixed results suggesting a more complex pathophysiology. Here, we discuss how the comparison of clinical features, immunologic parameters and therapeutic response data between MAS and hyperinflammation in COVID-19 can provide new insight into the pathophysiology of CSS.
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
隐形的易巧完成签到,获得积分10
2秒前
5秒前
28秒前
LiJie驳回了情怀应助
49秒前
caca完成签到,获得积分10
1分钟前
jyy发布了新的文献求助200
1分钟前
加菲丰丰举报求助违规成功
1分钟前
斯寜举报求助违规成功
1分钟前
kingwill举报求助违规成功
1分钟前
1分钟前
共享精神应助冠状采纳,获得10
1分钟前
1分钟前
hefang完成签到,获得积分20
2分钟前
2分钟前
可爱的函函应助hefang采纳,获得20
2分钟前
西瓜刀完成签到 ,获得积分10
3分钟前
3分钟前
3分钟前
3分钟前
景景景完成签到,获得积分10
3分钟前
3分钟前
hefang发布了新的文献求助20
3分钟前
景景景发布了新的文献求助10
3分钟前
务实书包完成签到,获得积分10
4分钟前
4分钟前
4分钟前
4分钟前
研友_8Y26PL完成签到 ,获得积分10
4分钟前
科研通AI5应助典雅的飞丹采纳,获得10
4分钟前
h0jian09完成签到,获得积分10
4分钟前
4分钟前
骆马湖完成签到,获得积分10
4分钟前
草木发布了新的文献求助10
4分钟前
5分钟前
黑球发布了新的文献求助10
5分钟前
5分钟前
Aqib发布了新的文献求助10
5分钟前
mao应助Aqib采纳,获得10
6分钟前
6分钟前
Jinyang完成签到 ,获得积分10
6分钟前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
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 3736624
求助须知:如何正确求助?哪些是违规求助? 3280584
关于积分的说明 10020088
捐赠科研通 2997281
什么是DOI,文献DOI怎么找? 1644507
邀请新用户注册赠送积分活动 782041
科研通“疑难数据库(出版商)”最低求助积分说明 749648