Using evasins to target the chemokine network in inflammation

趋化因子受体 趋化因子 CCL21型 CCL13型 生物 免疫学 炎症
作者
Shoumo Bhattacharya,Akane Kawamura
出处
期刊:Advances in protein chemistry and structural biology [Elsevier BV]
卷期号:: 1-38 被引量:8
标识
DOI:10.1016/bs.apcsb.2019.09.003
摘要

Inflammation, is driven by a network comprising cytokines, chemokines, their target receptors and leukocytes, and is a major pathologic mechanism that adversely affects organ function in diverse human diseases. Despite being supported by substantial target validation, no successful anti-chemokine therapeutic to treat inflammatory disease has yet been developed. This is in part because of the robustness of the chemokine network, which emerges from a large total chemokine load in disease, promiscuous expression of receptors on leukocytes, promiscuous and synergistic interactions between chemokines and receptors, and feedforward loops created by secretion of chemokines by leukocytes themselves. Many parasites, including viruses, helminths and ticks, evade the chemokine network by producing proteins that bind promiscuously to chemokines or their receptors. Evasins - three small glycoproteins identified in the saliva of the brown dog tick - bind multiple chemokines, and are active in several animal models of inflammatory disease. Over 50 evasin homologs have recently been identified from diverse tick species. Characterization of the chemokine binding patterns of evasins show that several have anti-chemokine activities that extend substantially beyond those previously described. These studies indicate that evasins function at the site of the tick bite by reducing total chemokine load. This not only reduces chemokine signaling to receptors, but also interrupts feedforward loops, thus disabling the chemokine network. Taking the lead from nature, a goal for the development of new anti-chemokine therapeutics would be to reduce the total chemokine load in disease. This could be achieved by administering appropriate evasin combinations or by smaller peptides that mimic evasin action.

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
choy完成签到,获得积分10
刚刚
无极微光应助DJDJDDDJ采纳,获得20
1秒前
着急的雪冥完成签到,获得积分10
1秒前
飘零枫叶发布了新的文献求助10
2秒前
yuqi_li完成签到 ,获得积分10
4秒前
4秒前
5秒前
房山芙完成签到,获得积分10
5秒前
6秒前
bkagyin应助llllhh采纳,获得10
7秒前
蓝天应助JL采纳,获得10
7秒前
NexusExplorer应助JL采纳,获得10
7秒前
ccl发布了新的文献求助10
8秒前
why359发布了新的文献求助10
8秒前
lidianji122发布了新的文献求助10
10秒前
11秒前
12秒前
李烛尘发布了新的文献求助10
12秒前
Owen应助飘零枫叶采纳,获得10
12秒前
ty完成签到,获得积分10
13秒前
赘婿应助纪间采纳,获得10
14秒前
NexusExplorer应助达乐采纳,获得10
14秒前
yuqi_li关注了科研通微信公众号
14秒前
15秒前
小霖发布了新的文献求助10
16秒前
16秒前
马儿饿了要吃草完成签到,获得积分10
16秒前
领导范儿应助云上人采纳,获得10
17秒前
StarkGavin发布了新的文献求助10
18秒前
19秒前
why359完成签到,获得积分10
19秒前
kai5391完成签到,获得积分10
20秒前
对乙酰氨基酚完成签到 ,获得积分10
20秒前
小螃蟹完成签到 ,获得积分10
21秒前
风清扬发布了新的文献求助10
22秒前
22秒前
Lucas应助ccl采纳,获得10
23秒前
对乙酰氨基酚关注了科研通微信公众号
24秒前
25秒前
汤姆发布了新的文献求助10
26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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
What is the Future of Psychotherapy in a Digital Age? 700
The Psychological Quest for Meaning 600
Zeolites: From Fundamentals to Emerging Applications 600
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 5955522
求助须知:如何正确求助?哪些是违规求助? 7167831
关于积分的说明 15938896
捐赠科研通 5090542
什么是DOI,文献DOI怎么找? 2735708
邀请新用户注册赠送积分活动 1696585
关于科研通互助平台的介绍 1617347