Synthetic agonists of Toll-like receptors 7, 8 and 9

作者
Sudhir Agrawal,Ekambar R. Kandimalla
出处
期刊:Biochemical Society Transactions [Portland Press]
卷期号:35 (6): 1461-1467 被引量:126
标识
DOI:10.1042/bst0351461
摘要

TLRs (Toll-like receptors) are a family of innate immune receptors that induce protective immune responses against infections. Single-stranded viral RNA and bacterial DNA containing unmethylated CpG motifs are the ligands for TLR7 and TLR8 and 9 respectively. We have carried out extensive structure-activity relationship studies of DNA- and RNA-based compounds to elucidate the impact of nucleotide motifs and structures on these TLR-mediated immune responses. These studies have led us to design novel DNA- and RNA-based compounds, which act as potent agonists of TLR9 and TLR7 and 8 respectively. These novel synthetic agonists produce different immune response profiles depending on the structures and nucleotide motifs present in them. The ability to modulate TLR-mediated immune responses with these novel DNA- and RNA-based agonists in a desired fashion may allow targeting a broad range of diseases, including cancers, asthma, allergies and infections, alone or in combination with other therapeutic agents, and their use as adjuvants with vaccines. IMO-2055, our first lead candidate, is a TLR9 agonist that is currently in clinical evaluation in oncology patients. A second candidate, IMO-2125, is also a TLR9 agonist that has been shown to induce high and sustained levels of IFN (interferon) in non-human primates and is being evaluated in HepC-infected human subjects.

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
科研通AI6.4应助feiyue126采纳,获得10
1秒前
zhuzhen007完成签到 ,获得积分10
2秒前
Jasper应助xuxu213采纳,获得10
2秒前
jiaying完成签到 ,获得积分10
3秒前
yang发布了新的文献求助10
5秒前
传奇3应助科研通管家采纳,获得10
9秒前
9秒前
小二郎应助科研通管家采纳,获得10
9秒前
yangke完成签到,获得积分20
9秒前
盘菜应助科研通管家采纳,获得10
10秒前
慕肖完成签到 ,获得积分10
10秒前
上官若男应助科研通管家采纳,获得10
10秒前
Kao应助科研通管家采纳,获得10
10秒前
共享精神应助科研通管家采纳,获得10
11秒前
11秒前
张欢馨应助科研通管家采纳,获得10
11秒前
Kao应助科研通管家采纳,获得10
11秒前
12秒前
烟花应助科研通管家采纳,获得10
12秒前
斯文败类应助科研通管家采纳,获得10
12秒前
12秒前
慕青应助科研通管家采纳,获得10
12秒前
Owen应助科研通管家采纳,获得10
12秒前
qqq完成签到 ,获得积分0
12秒前
修仙中应助科研通管家采纳,获得10
13秒前
13秒前
13秒前
13秒前
英姑应助科研通管家采纳,获得10
13秒前
wang发布了新的文献求助10
15秒前
洁净的代容完成签到,获得积分10
15秒前
fengqiwu完成签到,获得积分10
15秒前
橙子完成签到,获得积分20
16秒前
赵童童童完成签到,获得积分10
16秒前
风趣的芒果完成签到,获得积分10
18秒前
范粉粉完成签到,获得积分10
18秒前
东asdfghjkl完成签到,获得积分10
18秒前
xinL完成签到,获得积分10
20秒前
April完成签到,获得积分10
20秒前
yangke发布了新的文献求助10
20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
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 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 7592714
求助须知:如何正确求助?哪些是违规求助? 9169990
关于积分的说明 19626697
捐赠科研通 7170597
什么是DOI,文献DOI怎么找? 3267520
关于科研通互助平台的介绍 2432387
邀请新用户注册赠送积分活动 2260021