Transcriptome-based drug repositioning for coronavirus disease 2019 (COVID-19).


Journal

Pathogens and disease
ISSN: 2049-632X
Titre abrégé: Pathog Dis
Pays: United States
ID NLM: 101595366

Informations de publication

Date de publication:
01 06 2020
Historique:
received: 20 05 2020
accepted: 07 07 2020
pubmed: 16 7 2020
medline: 4 8 2020
entrez: 16 7 2020
Statut: ppublish

Résumé

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) around the world has led to a pandemic with high morbidity and mortality. However, there are no effective drugs to prevent and treat the disease. Transcriptome-based drug repositioning, identifying new indications for old drugs, is a powerful tool for drug development. Using bronchoalveolar lavage fluid transcriptome data of COVID-19 patients, we found that the endocytosis and lysosome pathways are highly involved in the disease and that the regulation of genes involved in neutrophil degranulation was disrupted, suggesting an intense battle between SARS-CoV-2 and humans. Furthermore, we implemented a coexpression drug repositioning analysis, cogena, and identified two antiviral drugs (saquinavir and ribavirin) and several other candidate drugs (such as dinoprost, dipivefrine, dexamethasone and (-)-isoprenaline). Notably, the two antiviral drugs have also previously been identified using molecular docking methods, and ribavirin is a recommended drug in the diagnosis and treatment protocol for COVID pneumonia (trial version 5-7) published by the National Health Commission of the P.R. of China. Our study demonstrates the value of the cogena-based drug repositioning method for emerging infectious diseases, improves our understanding of SARS-CoV-2-induced disease, and provides potential drugs for the prevention and treatment of COVID-19 pneumonia.

Identifiants

pubmed: 32667665
pii: 5871823
doi: 10.1093/femspd/ftaa036
pmc: PMC7454646
pii:
doi:

Substances chimiques

Antiviral Agents 0
Ribavirin 49717AWG6K
Saquinavir L3JE09KZ2F

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© FEMS 2020.

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Auteurs

Zhilong Jia (Z)

Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.
Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.

Xinyu Song (X)

Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.
Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.

Jinlong Shi (J)

Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.
Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.

Weidong Wang (W)

Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.
Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.

Kunlun He (K)

Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.
Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.

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Classifications MeSH