A Selection Protocol to Identify Therapeutics to Target NLRP3-Associated Sensory Hearing Loss

医学 听力损失 听力学 协议(科学) 选择(遗传算法) 感觉系统 神经科学 机器学习 病理 替代医学 计算机科学 生物
作者
Viktoria Schiel,Kourosh Eftekharian,Anping Xia,L. Bekale,Ritwija Bhattacharya,Peter L. Santa Maria
出处
期刊:Otology & Neurotology [Ovid Technologies (Wolters Kluwer)]
卷期号:45 (10): 1178-1185 被引量:1
标识
DOI:10.1097/mao.0000000000004321
摘要

Objective We propose a selection process to identify a small molecule inhibitor to treat NLRP3-associated sensory hearing loss. Background The NLRP3 inflammasome is an innate immune sensor and present in monocytes and macrophages. Once the inflammasome is activated, a cleavage cascade is initiated leading to the release of proinflammatory cytokines IL-1β and IL-18. The NLRP3 inflammasome has been implicated in many causes of hearing loss, including autoimmune disease, tumors, and chronic suppurative otitis media. Although the target has been identified, there is a lack of available therapeutics to treat NLRP3-associated hearing loss. Methods We created a target product profile with specific characteristics that are required for a compound to treat sensory hearing loss. We then looked at available small molecule NLRP3 inhibitors at different stages of development and selected compounds that fit that profile best. Those compounds were then tested for cell toxicity in MTT assays to determine the dosage to be used for efficacy testing. We tested efficacy of a known NLRP3 inhibitor, MCC950, in a proof-of-concept screen on reporter monocytes. Results Six compounds were selected that fulfilled our selection criteria for further testing. We found the maximum tolerated dose for each of those compounds that will be used for further efficacy testing. The proof-of-concept efficacy screen on reporter monocytes confirmed that those cells can be used for further efficacy testing. Conclusion Our selection process and preliminary results provide a promising concept to develop small molecule NLRP3 inhibitors to treat sensory hearing loss.
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
1秒前
shuofeng发布了新的文献求助10
2秒前
man发布了新的文献求助20
2秒前
光遇深渊发布了新的文献求助10
2秒前
4秒前
爆米花应助平淡的绮琴采纳,获得10
4秒前
安安发布了新的文献求助10
5秒前
王王完成签到,获得积分0
6秒前
sunshine完成签到,获得积分10
7秒前
蔺阁完成签到,获得积分20
8秒前
9秒前
11秒前
周运完成签到 ,获得积分10
11秒前
魔法河豚完成签到 ,获得积分20
11秒前
Yu发布了新的文献求助10
13秒前
13秒前
15秒前
wzzznh发布了新的文献求助10
16秒前
考拉发布了新的文献求助10
17秒前
ChrisKim完成签到,获得积分10
18秒前
18秒前
bkagyin应助啦啦啦采纳,获得10
18秒前
19秒前
今后应助jjjjj采纳,获得10
19秒前
lay发布了新的文献求助10
20秒前
小学生完成签到 ,获得积分10
21秒前
22秒前
24秒前
善学以致用应助考拉采纳,获得10
24秒前
25秒前
双昕完成签到,获得积分20
25秒前
25秒前
时尚的大山应助YYL采纳,获得10
26秒前
兴奋棉花糖完成签到,获得积分10
27秒前
B27发布了新的文献求助10
28秒前
侯官词奴发布了新的文献求助10
28秒前
29秒前
29秒前
29秒前
范同学发布了新的文献求助10
31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
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
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 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6023152
求助须知:如何正确求助?哪些是违规求助? 7647904
关于积分的说明 16171707
捐赠科研通 5171525
什么是DOI,文献DOI怎么找? 2767225
邀请新用户注册赠送积分活动 1750545
关于科研通互助平台的介绍 1637079