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地填写文献信息,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!

Fibrinogen binding to activated platelets and its biomimetic thrombus-targeted thrombolytic strategies

纤维蛋白原 血小板 血栓 血小板活化 化学 医学 生物化学 心脏病学 内科学
作者
Yu Huang,Jiahua Wang,Yuanyuan Guo,Lingyue Shen,Yuehua Li
出处
期刊:International Journal of Biological Macromolecules [Elsevier]
卷期号:274: 133286-133286 被引量:7
标识
DOI:10.1016/j.ijbiomac.2024.133286
摘要

Thrombosis is associated with various fatal arteriovenous syndromes including ischemic stroke, myocardial infarction, and pulmonary embolism. However, current clinical thrombolytic treatment strategies still have many problems in targeting and safety to meet the thrombolytic therapy needs. Understanding the molecular mechanism that underlies thrombosis is critical in developing effective thrombolytic strategies. It is well known that platelets play a central role in thrombosis and the binding of fibrinogen to activated platelets is a common pathway in the process of clot formation. Based on this, a concept of biomimetic thrombus-targeted thrombolytic strategy inspired from fibrinogen binding to activated platelets in thrombosis was proposed, which could selectively bind to activated platelets at a thrombus site, thus enabling targeted delivery and local release of thrombolytic agents for effective thrombolysis. In this review, we first summarized the main characteristics of platelets and fibrinogen, and then introduced the classical molecular mechanisms of thrombosis, including platelet adhesion, platelet activation and platelet aggregation through the interactions of activated platelets with fibrinogen. In addition, we highlighted the recent advances in biomimetic thrombus-targeted thrombolytic strategies which inspired from fibrinogen binding to activated platelets in thrombosis. The possible future directions and perspectives in this emerging area are briefly discussed.
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
饶子阳发布了新的文献求助10
1秒前
xh完成签到 ,获得积分10
5秒前
10秒前
clhoxvpze完成签到 ,获得积分10
29秒前
30秒前
周周完成签到 ,获得积分10
31秒前
31秒前
情怀应助科研通管家采纳,获得10
31秒前
科研通AI2S应助科研通管家采纳,获得10
31秒前
31秒前
乐乐应助科研通管家采纳,获得10
31秒前
31秒前
Owen应助科研通管家采纳,获得10
31秒前
CodeCraft应助科研通管家采纳,获得10
32秒前
tuanheqi应助科研通管家采纳,获得50
32秒前
34秒前
snowssss发布了新的文献求助10
35秒前
komorebi发布了新的文献求助10
36秒前
医学的狗完成签到,获得积分10
37秒前
39秒前
GGBond发布了新的文献求助10
41秒前
小二郎应助医学的狗采纳,获得10
41秒前
悲凉的便当完成签到,获得积分10
47秒前
51秒前
量子星尘发布了新的文献求助10
51秒前
54秒前
55秒前
55秒前
zhaoshuo发布了新的文献求助10
56秒前
Mike发布了新的文献求助10
58秒前
英姑应助GGBond采纳,获得10
1分钟前
铭铭发布了新的文献求助10
1分钟前
aks发布了新的文献求助30
1分钟前
1分钟前
1分钟前
打打应助铭铭采纳,获得10
1分钟前
桐桐应助zhaoshuo采纳,获得30
1分钟前
mbmb11发布了新的文献求助10
1分钟前
1分钟前
甜美的代灵完成签到 ,获得积分10
1分钟前
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
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
Electron Energy Loss Spectroscopy 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5779942
求助须知:如何正确求助?哪些是违规求助? 5650975
关于积分的说明 15452581
捐赠科研通 4910875
什么是DOI,文献DOI怎么找? 2643040
邀请新用户注册赠送积分活动 1590694
关于科研通互助平台的介绍 1545122