Prediction of #repurposed #drugs for treating #lung #injury in #COVID19 (F1000Res., abstract)

[Source: F1000 Research, full page: (LINK). Abstract, edited.]

Prediction of repurposed drugs for treating lung injury in COVID-19

[version 2; peer review: 2 approved]

Bing He, Lana Garmire

Author details: Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, 48105, USA

This article is included in the Disease Outbreaks gateway.

This article is included in the Coronavirus collection.

Abstract

Background:

Coronavirus disease (COVID-19) is an infectious disease discovered in 2019 and currently in outbreak across the world. Lung injury with severe respiratory failure is the leading cause of death in COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there still lacks efficient treatment for COVID-19 induced lung injury and acute respiratory failure.

Methods:

Inhibition of angiotensin-converting enzyme 2 (ACE2) caused by the spike protein of SARS-CoV-2 is the most plausible mechanism of lung injury in COVID-19. We performed drug repositioning analysis to identify drug candidates that reverse gene expression pattern in L1000 lung cell line HCC515 treated with ACE2 inhibitor. We confirmed these drug candidates by similar bioinformatics analysis using lung tissues from patients deceased from COVID-19. We further investigated deregulated genes and pathways related to lung injury, as well as the gene-pathway-drug candidate relationships.

Results:

We propose two candidate drugs, COL-3 (a chemically modified tetracycline) and CGP-60474 (a cyclin-dependent kinase inhibitor), for treating lung injuries in COVID-19. Further bioinformatics analysis shows that 12 significantly enriched pathways (P-value <0.05) overlap between HCC515 cells treated with ACE2 inhibitor and human COVID-19 patient lung tissues. These include signaling pathways known to be associated with lung injury such as TNF signaling, MAPK signaling and chemokine signaling pathways. All 12 pathways are targeted in COL-3 treated HCC515 cells, in which genes such as RHOA, RAC2, FAS, CDC42 have reduced expression. CGP-60474 shares 11 of 12 pathways with COL-3 and common target genes such as RHOA. It also uniquely targets other genes related to lung injury, such as CALR and MMP14.

Conclusions:

This study shows that ACE2 inhibition is likely part of the mechanisms leading to lung injury in COVID-19, and that compounds such as COL-3 and CGP-60474 have potential as repurposed drugs for its treatment.

Keywords: COVID-19, SARS-CoV-2, lung injury, ACE2, COL-3, CGP-60474

Corresponding author: Lana Garmire

Competing interests: No competing interests were disclosed.

Grant information: This research was supported by the National Institute of Environmental Health Sciences through funds provided by the trans-NIH Big Data to Knowledge (BD2K) initiative [K01ES025434]; the US National Library of Medicine [R01 LM012373, R01 LM12907]; and the National Institute of Child Health and Human Development [R01 HD084633; to L.X. Garmire].

Copyright:  © 2020 He B and Garmire L. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite: He B and Garmire L. Prediction of repurposed drugs for treating lung injury in COVID-19 [version 2; peer review: 2 approved]. F1000Research 2020, 9:609 (https://doi.org/10.12688/f1000research.23996.2)

First published: 15 Jun 2020, 9:609 (https://doi.org/10.12688/f1000research.23996.1)

Latest published: 26 Aug 2020, 9:609 (https://doi.org/10.12688/f1000research.23996.2)

Keywords: SARS-CoV-2; COVID-19; Acute Lung Injury.

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Giuseppe Michieli

I am an Italian blogger, active since 2005 with main focus on emerging infectious diseases such as avian influenza, SARS, antibiotics resistance, and many other global Health issues. Other fields of interest are: climate change, global warming, geological and biological sciences. My activity consists mainly in collection and analysis of news, public services updates, confronting sources and making decision about what are the 'signals' of an impending crisis (an outbreak, for example). When a signal is detected, I follow traces during the entire course of an event. I started in 2005 my blog ''A TIME'S MEMORY'', now with more than 40,000 posts and 3 millions of web interactions. Subsequently I added an Italian Language blog, then discontinued because of very low traffic and interest. I contributed for seven years to a public forum (FluTrackers.com) in the midst of the Ebola epidemic in West Africa in 2014, I left the site to continue alone my data tracking job.

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