Old Drugs for JAK-STAT Pathway Inhibition in COVID-19

M. Dayer
{"title":"Old Drugs for JAK-STAT Pathway Inhibition in COVID-19","authors":"M. Dayer","doi":"10.13140/RG.2.2.33735.73122","DOIUrl":null,"url":null,"abstract":"The pandemic threat of COVID-19 with more than 37 million cases in which about 5 percent entering critical stage characterized by cytokine storm and hyperinflammatory condition, the state more often leads to admission to intensive care unit with rapid mortality. Janus kinase enzymes of Jak-1, Jak-2, Jak-3, and Tyk2 seem to be good targets for inhibition by medications to control cytokine storm in this context. In the present work, the inhibitory properties of different analgesic drugs on these targets are studied to assess their ability for clinical application from different points of view. Our docking results indicated that naproxen, methadone, and amitriptyline considering their higher binding energy, lower energy variance, and higher hydrophobicity, seem to express more inhibitory effects on Janus kinase enzymes than thats for approved inhibitors i.e. baricitinib and ruxolitinib. Accordingly, we suggest our wide list of candidate drugs including indomethacin, etodolac, buprenorphine, rofecoxib, duloxetine, valdecoxib, naproxen, methadone, and amitriptilin for clinical assessments for their usefulness in COVID-19 treatment, especially taking into account that up to now, there is no approved cure for this disease.","PeriodicalId":8460,"journal":{"name":"arXiv: Other Quantitative Biology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Other Quantitative Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13140/RG.2.2.33735.73122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The pandemic threat of COVID-19 with more than 37 million cases in which about 5 percent entering critical stage characterized by cytokine storm and hyperinflammatory condition, the state more often leads to admission to intensive care unit with rapid mortality. Janus kinase enzymes of Jak-1, Jak-2, Jak-3, and Tyk2 seem to be good targets for inhibition by medications to control cytokine storm in this context. In the present work, the inhibitory properties of different analgesic drugs on these targets are studied to assess their ability for clinical application from different points of view. Our docking results indicated that naproxen, methadone, and amitriptyline considering their higher binding energy, lower energy variance, and higher hydrophobicity, seem to express more inhibitory effects on Janus kinase enzymes than thats for approved inhibitors i.e. baricitinib and ruxolitinib. Accordingly, we suggest our wide list of candidate drugs including indomethacin, etodolac, buprenorphine, rofecoxib, duloxetine, valdecoxib, naproxen, methadone, and amitriptilin for clinical assessments for their usefulness in COVID-19 treatment, especially taking into account that up to now, there is no approved cure for this disease.
抑制新冠病毒JAK-STAT通路的旧药
COVID-19的大流行威胁超过3700万例,其中约5%进入以细胞因子风暴和高炎症为特征的危急阶段,这种状态更经常导致进入重症监护病房并迅速死亡。在这种情况下,jak1、jak2、jak3和Tyk2的Janus激酶似乎是药物抑制细胞因子风暴的良好靶点。本文研究了不同镇痛药物对这些靶点的抑制特性,从不同角度评价其临床应用的能力。我们的对接结果表明,鉴于萘普生、美沙酮和阿米替林具有更高的结合能、更低的能量方差和更高的疏水性,它们对Janus激酶的抑制作用似乎比已批准的抑制剂如巴比替尼和鲁索利替尼更强。因此,我们建议将吲哚美辛、依托多拉酸、丁丙诺啡、罗非昔布、度洛西汀、伐地昔布、萘普生、美沙酮和阿米替林等候选药物纳入临床评估,以评估其在COVID-19治疗中的有效性,特别是考虑到到目前为止,还没有批准的治疗这种疾病的药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信