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Tiotropium Is Predicted to Be a Promising Drug for COVID-19 Through Transcriptome-Based Comprehensive Molecular Pathway Analysis

机译:预计噻托吡钠通过基于转录组的综合分子途径分析是Covid-19的有希望的药物

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摘要

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.
机译:2019年冠状病毒疾病(Covid-19)由严重急性呼吸综合征冠状病毒2(SARS-COV-2)引起的爆发(SARS-COV-2)在许多方面影响了世界上几乎所有人。我们以前预测抗病毒(Atazanavir,Remdesivir和Lopinavir / Ritonavir)和非抗病毒药物(脱噻吩和雷帕霉素),其可以使用我们的分子变压器 - 药物靶相互作用(MT-DTI)深 - 基于学习的药物目标亲和预测模型。在该研究中,通过分析具有各种生物信息学方法的RNA-SEQ数据集,例如基于基于蛋白质蛋白质相互作用的网络,解除了在SARS-COV-2感染的正常人支气管上皮(NHBE)细胞中上调的分子途径。和基因设定富集分析。结果表明,SARS-COV-2感染通过显着上调,,和基因强烈地激活TNF和NFκB信号传导途径。除了这些途径外,还显着上调了肺纤维化,角质化/康复,类风湿性关节炎和干扰素 - γ生产途径的阴性调节。我们观察到SARS-COV-2的这些病理特征与慢性阻塞性肺病(COPD)患者观察到的这些病理特征类似。目前使用MT-DTI预测的脱噻吩,目前被用作COPD患者的治疗干预。已经显示通过减轻气道炎症来改善抗毒液的处理来改善肺功能。因此,概述了文献搜索,即脱滴血米在体外或体内的表达,以及在COPD患者中造成的许多情况下已知许多。这些结果表明Covid-19类似于SARS-COV-2感染引起的COPD的急性模式,因此噻托米可能对Covid-19患者有效。

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