P-selectin Facilitates SARS-CoV-2 Spike 1 Subunit Attachment to Vesicular Endothelium and Platelets

血小板 内皮 内皮干细胞 脐静脉 生物 血小板活化 化学 免疫学 细胞生物学 生物化学 体外 内分泌学
作者
Cheng Wang,Shaobo Wang,Xiangyu Ma,Xiaohong Yao,Kegang Zhan,Zai Wang,Di He,Wenting Zuo,Songling Han,Gaomei Zhao,Bin Cao,Jinghong Zhao,Xiu‐Wu Bian,Junping Wang
出处
期刊:ACS Infectious Diseases [American Chemical Society]
卷期号:10 (8): 2656-2667 被引量:4
标识
DOI:10.1021/acsinfecdis.3c00728
摘要

SARS-CoV-2 infection starts from the association of its spike 1 (S1) subunit with sensitive cells. Vesicular endothelial cells and platelets are among the cell types that bind SARS-CoV-2, but the effectors that mediate viral attachment on the cell membrane have not been fully elucidated. Herein, we show that P-selectin (SELP), a biomarker for endothelial dysfunction and platelet activation, can facilitate the attachment of SARS-CoV-2 S1. Since we observe colocalization of SELP with S1 in the lung tissues of COVID-19 patients, we perform molecular biology experiments on human umbilical vein endothelial cells (HUVECs) to confirm the intermolecular interaction between SELP and S1. SELP overexpression increases S1 recruitment to HUVECs and enhances SARS-CoV-2 spike pseudovirion infection. The opposite results are determined after SELP downregulation. As S1 causes endothelial inflammatory responses in a dose-dependent manner, by activating the interleukin (IL)-17 signaling pathway, SELP-induced S1 recruitment may contribute to the development of a "cytokine storm" after viral infection. Furthermore, SELP also promotes the attachment of S1 to the platelet membrane. Employment of PSI-697, a small inhibitor of SELP, markedly decreases S1 adhesion to both HUVECs and platelets. In addition to the role of membrane SELP in facilitating S1 attachment, we also discover that soluble SELP is a prognostic factor for severe COVID-19 through a meta-analysis. In this study, we identify SELP as an adhesive site for the SARS-CoV-2 S1, thus providing a potential drug target for COVID-19 treatment.
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
刚刚
1秒前
2秒前
迪宝有好运完成签到,获得积分20
6秒前
6秒前
英吉利25发布了新的文献求助10
7秒前
7秒前
ZH完成签到 ,获得积分10
8秒前
9秒前
9秒前
科研通AI6.2应助Hoshino采纳,获得30
10秒前
李昕123发布了新的文献求助10
13秒前
LUCK_XIAO发布了新的文献求助10
14秒前
Ei完成签到,获得积分10
15秒前
16秒前
17秒前
科研小李完成签到,获得积分10
18秒前
20秒前
董家旭发布了新的文献求助10
21秒前
21秒前
21秒前
21秒前
21秒前
22秒前
酒吧舞男茜茜妈完成签到,获得积分10
23秒前
淡淡的刺猬完成签到,获得积分10
23秒前
情怀应助科研通管家采纳,获得10
23秒前
华仔应助科研通管家采纳,获得10
23秒前
天天快乐应助科研通管家采纳,获得10
23秒前
汉堡包应助科研通管家采纳,获得10
23秒前
慕青应助科研通管家采纳,获得10
24秒前
24秒前
蓝天应助鲨瓦迪卡采纳,获得10
24秒前
24秒前
24秒前
24秒前
斯文败类应助科研通管家采纳,获得10
24秒前
爆米花应助科研通管家采纳,获得10
24秒前
乐空思应助科研通管家采纳,获得80
24秒前
25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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018459
求助须知:如何正确求助?哪些是违规求助? 7607110
关于积分的说明 16159240
捐赠科研通 5166074
什么是DOI,文献DOI怎么找? 2765191
邀请新用户注册赠送积分活动 1746699
关于科研通互助平台的介绍 1635359