• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于转录组的综合分子途径分析,噻托溴铵有望成为治疗 COVID-19 的有效药物。

Tiotropium is Predicted to be a Promising Drug for COVID-19 Through Transcriptome-Based Comprehensive Molecular Pathway Analysis.

机构信息

Department of Microbiology, College of Science & Technology, Dankook University, Cheonan 31116, Korea.

Deargen Inc., Daejeon, Yuseong-gu, Munji-dong 103-6, Korea.

出版信息

Viruses. 2020 Jul 20;12(7):776. doi: 10.3390/v12070776.

DOI:10.3390/v12070776
PMID:32698440
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7412475/
Abstract

The coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) affects almost everyone in the world in many ways. We previously predicted antivirals (atazanavir, remdesivir and lopinavir/ritonavir) and non-antiviral drugs (tiotropium and rapamycin) that may inhibit the replication complex of SARS-CoV-2 using our molecular transformer-drug target interaction (MT-DTI) deep-learning-based drug-target affinity prediction model. In this study, we dissected molecular pathways upregulated in SARS-CoV-2-infected normal human bronchial epithelial (NHBE) cells by analyzing an RNA-seq data set with various bioinformatics approaches, such as gene ontology, protein-protein interaction-based network and gene set enrichment analyses. The results indicated that the SARS-CoV-2 infection strongly activates TNF and NFκB-signaling pathways through significant upregulation of the , , , , , and genes. In addition to these pathways, lung fibrosis, keratinization/cornification, rheumatoid arthritis, and negative regulation of interferon-gamma production pathways were also significantly upregulated. We observed that these pathologic features of SARS-CoV-2 are similar to those observed in patients with chronic obstructive pulmonary disease (COPD). Intriguingly, tiotropium, as predicted by MT-DTI, is currently used as a therapeutic intervention in COPD patients. Treatment with tiotropium has been shown to improve pulmonary function by alleviating airway inflammation. Accordingly, a literature search summarized that tiotropium reduced expressions of , , , and TNF in vitro or in vivo, and many of them have been known to be deregulated in COPD patients. These results suggest that COVID-19 is similar to an acute mode of COPD caused by the SARS-CoV-2 infection, and therefore tiotropium may be effective for COVID-19 patients.

摘要

新型冠状病毒病 2019(COVID-19)是由严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)引起的,以多种方式影响着世界上几乎每个人。我们之前使用我们基于分子变换-药物靶标相互作用(MT-DTI)的深度学习药物靶标亲和力预测模型,预测了可能抑制 SARS-CoV-2 复制复合物的抗病毒药物(阿扎那韦、瑞德西韦和洛匹那韦/利托那韦)和非抗病毒药物(噻托溴铵和雷帕霉素)。在这项研究中,我们通过使用各种生物信息学方法(如基因本体论、蛋白质-蛋白质相互作用网络和基因集富集分析)分析 RNA-seq 数据集,剖析了 SARS-CoV-2 感染正常人类支气管上皮(NHBE)细胞上调的分子途径。结果表明,SARS-CoV-2 感染通过显著上调 、 、 、 、 和 基因强烈激活 TNF 和 NFκB 信号通路。除了这些途径外,肺纤维化、角质化/角化、类风湿关节炎和干扰素-γ产生的负调控途径也显著上调。我们观察到,SARS-CoV-2 的这些病理特征与慢性阻塞性肺疾病(COPD)患者观察到的特征相似。有趣的是,MT-DTI 预测的噻托溴铵目前被用作 COPD 患者的治疗干预措施。噻托溴铵的治疗已被证明通过减轻气道炎症来改善肺功能。因此,文献检索总结了噻托溴铵在体外或体内降低 、 、 、TNF 的表达,其中许多已被证明在 COPD 患者中失调。这些结果表明,COVID-19 类似于由 SARS-CoV-2 感染引起的 COPD 的急性模式,因此噻托溴铵可能对 COVID-19 患者有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf11/7412475/a7b663f7d198/viruses-12-00776-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf11/7412475/171af7b49055/viruses-12-00776-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf11/7412475/52e01711e070/viruses-12-00776-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf11/7412475/e0e8e740f7c0/viruses-12-00776-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf11/7412475/a7b663f7d198/viruses-12-00776-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf11/7412475/171af7b49055/viruses-12-00776-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf11/7412475/52e01711e070/viruses-12-00776-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf11/7412475/e0e8e740f7c0/viruses-12-00776-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf11/7412475/a7b663f7d198/viruses-12-00776-g004.jpg

相似文献

1
Tiotropium is Predicted to be a Promising Drug for COVID-19 Through Transcriptome-Based Comprehensive Molecular Pathway Analysis.基于转录组的综合分子途径分析,噻托溴铵有望成为治疗 COVID-19 的有效药物。
Viruses. 2020 Jul 20;12(7):776. doi: 10.3390/v12070776.
2
Protein Coding and Long Noncoding RNA (lncRNA) Transcriptional Landscape in SARS-CoV-2 Infected Bronchial Epithelial Cells Highlight a Role for Interferon and Inflammatory Response.SARS-CoV-2 感染的支气管上皮细胞中的蛋白编码和长非编码 RNA(lncRNA)转录组阐明了干扰素和炎症反应的作用。
Genes (Basel). 2020 Jul 7;11(7):760. doi: 10.3390/genes11070760.
3
Insights into antiviral mechanisms of remdesivir, lopinavir/ritonavir and chloroquine/hydroxychloroquine affecting the new SARS-CoV-2.瑞德西韦、洛匹那韦/利托那韦和氯喹/羟氯喹影响新型 SARS-CoV-2 的抗病毒机制研究进展。
Biomed Pharmacother. 2020 Nov;131:110668. doi: 10.1016/j.biopha.2020.110668. Epub 2020 Aug 24.
4
Atazanavir, Alone or in Combination with Ritonavir, Inhibits SARS-CoV-2 Replication and Proinflammatory Cytokine Production.阿扎那韦(Atazanavir),单独或与利托那韦(ritonavir)联合使用,可抑制 SARS-CoV-2 的复制和促炎细胞因子的产生。
Antimicrob Agents Chemother. 2020 Sep 21;64(10). doi: 10.1128/AAC.00825-20.
5
Transcriptomic analysis reveals novel mechanisms of SARS-CoV-2 infection in human lung cells.转录组分析揭示了 SARS-CoV-2 感染人肺细胞的新机制。
Immun Inflamm Dis. 2020 Dec;8(4):753-762. doi: 10.1002/iid3.366. Epub 2020 Oct 30.
6
Type I and Type III Interferons Restrict SARS-CoV-2 Infection of Human Airway Epithelial Cultures.Ⅰ型和Ⅲ型干扰素限制 SARS-CoV-2 感染人呼吸道上皮细胞。
J Virol. 2020 Sep 15;94(19). doi: 10.1128/JVI.00985-20.
7
Clinical benefit of remdesivir in rhesus macaques infected with SARS-CoV-2.瑞德西韦在感染 SARS-CoV-2 的恒河猴中的临床获益。
Nature. 2020 Sep;585(7824):273-276. doi: 10.1038/s41586-020-2423-5. Epub 2020 Jun 9.
8
Remdesivir against COVID-19 and Other Viral Diseases.瑞德西韦治疗 COVID-19 及其他病毒性疾病。
Clin Microbiol Rev. 2020 Oct 14;34(1). doi: 10.1128/CMR.00162-20. Print 2020 Dec 16.
9
Candesartan could ameliorate the COVID-19 cytokine storm.坎地沙坦可改善 COVID-19 细胞因子风暴。
Biomed Pharmacother. 2020 Nov;131:110653. doi: 10.1016/j.biopha.2020.110653. Epub 2020 Aug 20.
10
Integrative transcriptomics analysis of lung epithelial cells and identification of repurposable drug candidates for COVID-19.肺上皮细胞的综合转录组学分析及 COVID-19 再利用药物候选物的鉴定。
Eur J Pharmacol. 2020 Nov 15;887:173594. doi: 10.1016/j.ejphar.2020.173594. Epub 2020 Sep 22.

引用本文的文献

1
Anti-Viral Activity of Bioactive Molecules of Silymarin against COVID-19 via In Silico Studies.水飞蓟素生物活性分子通过计算机模拟研究对新冠病毒的抗病毒活性
Pharmaceuticals (Basel). 2023 Oct 17;16(10):1479. doi: 10.3390/ph16101479.
2
A systems biology approach for investigating significantly expressed genes among COVID-19, hepatocellular carcinoma, and chronic hepatitis B.一种用于研究新型冠状病毒肺炎、肝细胞癌和慢性乙型肝炎中显著表达基因的系统生物学方法。
Egypt J Med Hum Genet. 2022;23(1):146. doi: 10.1186/s43042-022-00360-3. Epub 2022 Oct 20.
3
One stone two birds: anti-inflammatory bronchodilators as a potential pharmacological strategy for COVID-19.

本文引用的文献

1
Inhaled corticosteroids downregulate the SARS-CoV-2 receptor ACE2 in COPD through suppression of type I interferon.吸入性皮质类固醇通过抑制 I 型干扰素下调 COPD 中 SARS-CoV-2 受体 ACE2。
J Allergy Clin Immunol. 2021 Feb;147(2):510-519.e5. doi: 10.1016/j.jaci.2020.09.034. Epub 2020 Oct 15.
2
Regulatory Cross Talk Between SARS-CoV-2 Receptor Binding and Replication Machinery in the Human Host.严重急性呼吸综合征冠状病毒2(SARS-CoV-2)在人类宿主中的受体结合与复制机制之间的调控相互作用
Front Physiol. 2020 Jun 30;11:802. doi: 10.3389/fphys.2020.00802. eCollection 2020.
3
Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19.
一石二鸟:抗炎性支气管扩张剂作为治疗新冠肺炎的一种潜在药理学策略
Front Pharmacol. 2023 May 4;14:1185076. doi: 10.3389/fphar.2023.1185076. eCollection 2023.
4
Deep learning-based molecular dynamics simulation for structure-based drug design against SARS-CoV-2.基于深度学习的分子动力学模拟用于针对严重急性呼吸综合征冠状病毒2的基于结构的药物设计。
Comput Struct Biotechnol J. 2022;20:5014-5027. doi: 10.1016/j.csbj.2022.09.002. Epub 2022 Sep 7.
5
Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic.差异共表达网络分析揭示关键枢纽-高流量基因可能成为 COVID-19 大流行的治疗靶点。
Front Immunol. 2021 Dec 15;12:789317. doi: 10.3389/fimmu.2021.789317. eCollection 2021.
6
Identifying potential novel insights for COVID-19 pathogenesis and therapeutics using an integrated bioinformatics analysis of host transcriptome.利用宿主转录组的综合生物信息学分析鉴定 COVID-19 发病机制和治疗的潜在新见解。
Int J Biol Macromol. 2022 Jan 1;194:770-780. doi: 10.1016/j.ijbiomac.2021.11.124. Epub 2021 Nov 24.
7
[Potentially useful drugs in the treatment of COVID-19 in Primary Care].[基层医疗中治疗新冠病毒病可能有用的药物]
Semergen. 2022 Mar;48(2):137-148. doi: 10.1016/j.semerg.2021.06.009. Epub 2021 Jul 28.
8
Weighted Gene Co-Expression Network Analysis Combined with Machine Learning Validation to Identify Key Modules and Hub Genes Associated with SARS-CoV-2 Infection.加权基因共表达网络分析结合机器学习验证以识别与SARS-CoV-2感染相关的关键模块和枢纽基因
J Clin Med. 2021 Aug 13;10(16):3567. doi: 10.3390/jcm10163567.
9
Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients.生物信息学和系统生物学方法鉴定 SARS-CoV-2 感染对特发性肺纤维化和慢性阻塞性肺疾病患者的影响。
Brief Bioinform. 2021 Sep 2;22(5). doi: 10.1093/bib/bbab115.
10
Network pharmacology-based analysis of Zukamu granules for the treatment of COVID-19.基于网络药理学的祖卡木颗粒治疗新型冠状病毒肺炎的分析
Eur J Integr Med. 2021 Feb;42:101282. doi: 10.1016/j.eujim.2020.101282. Epub 2021 Jan 2.
宿主对 SARS-CoV-2 的失衡反应导致 COVID-19 的发生。
Cell. 2020 May 28;181(5):1036-1045.e9. doi: 10.1016/j.cell.2020.04.026. Epub 2020 May 15.
4
Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients.SARS-CoV-2 感染患者外周血淋巴细胞反应和细胞因子谱的纵向特征。
EBioMedicine. 2020 May;55:102763. doi: 10.1016/j.ebiom.2020.102763. Epub 2020 Apr 18.
5
CXCL14 Overexpression Attenuates Sepsis-Associated Acute Kidney Injury by Inhibiting Proinflammatory Cytokine Production.CXCL14 过表达通过抑制促炎细胞因子的产生来减轻脓毒症相关急性肾损伤。
Mediators Inflamm. 2020 Mar 31;2020:2431705. doi: 10.1155/2020/2431705. eCollection 2020.
6
Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model.通过药物-靶点相互作用深度学习模型预测可能作用于新型冠状病毒(SARS-CoV-2)的市售抗病毒药物。
Comput Struct Biotechnol J. 2020 Mar 30;18:784-790. doi: 10.1016/j.csbj.2020.03.025. eCollection 2020.
7
Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.对《基于对来自中国武汉的150例患者数据的分析的2019冠状病毒病死亡的临床预测因素》的更正
Intensive Care Med. 2020 Jun;46(6):1294-1297. doi: 10.1007/s00134-020-06028-z.
8
Do chronic respiratory diseases or their treatment affect the risk of SARS-CoV-2 infection?慢性呼吸道疾病或其治疗是否会影响感染SARS-CoV-2的风险?
Lancet Respir Med. 2020 May;8(5):436-438. doi: 10.1016/S2213-2600(20)30167-3. Epub 2020 Apr 3.
9
Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy.意大利新冠肺炎死亡患者的病死率及特征
JAMA. 2020 May 12;323(18):1775-1776. doi: 10.1001/jama.2020.4683.
10
Treatment for severe acute respiratory distress syndrome from COVID-19.新型冠状病毒肺炎所致严重急性呼吸窘迫综合征的治疗
Lancet Respir Med. 2020 May;8(5):433-434. doi: 10.1016/S2213-2600(20)30127-2. Epub 2020 Mar 20.