A large international consortium of almost 200 researchers from 14 leading institutions in six countries has studied three different coronaviruses – SARS-CoV-1, SARS-CoV-2, and MERS-CoV – with the aim of finding vulnerabilities shared by these three pathogens. The research, published in the journal Science, identifies important molecular mechanisms crucial for all three coronaviruses, as well as potential drugs that could be repurposed as pan-coronavirus treatments.
The consortium included researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI), the Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG) at University of California San Francisco (UCSF), Gladstone Institutes, Institut Pasteur, Cluster of Excellence CIBSS at the University of Freiburg, the Howard Hughes Medical Institute, and other collaborators including the biotechnology companies Aetion and Synthego.
There are three known human respiratory syndromes associated with coronaviruses: severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and coronavirus disease 2019 (COVID-19). These are caused by SARS-CoV-1, MERS-CoV, and SARS-CoV-2, respectively.
The scientists identified drug targets and repurposed therapeutics that may have broad-spectrum activity across all three coronavirus strains. Repurposed therapeutics with known safety profiles may offer a rapid treatment response against emerging coronavirus strains in the future.
Identifying coronavirus drug targets
Building on their previous work published in Nature and Cell, the scientists determined how viral and human proteins interact, and where viral proteins are located within host cells infected by different coronaviruses. They subsequently used this data and functional genetic screening to identify host factors that prevent coronavirus propagation. The data analysed in this study will be made freely accessible through the COVID-19 Data Portal.
These analyses demonstrate how biological and molecular information are translated into real-world implications for the treatment of COVID-19 and other viral diseases. After more than a century of relatively harmless coronaviruses, in the last 20 years we’ve had three coronaviruses that have been deadly. By looking across the species, we have the capability to predict pan-coronavirus therapeutics that may be effective in treating the current pandemic, which we believe will also offer promising therapeutics for a future coronavirus as well.”
Pedro Beltrao, Group Leader at EMBL-EBI
Another step to treat COVID-19
The researchers also performed real-world analysis on clinical data regarding COVID-19 patient outcomes. To do this, they identified molecules in human cells that could be targeted with FDA-approved therapeutics and looked to see what effect these drugs had on COVID-19 patients in the clinic. This analysis involved over 740 000 patients in the United States with known SARS-CoV-2 infection.
The data and analysis carried out in this study demonstrate how molecular information can be translated into real-world implications for the treatment of COVID-19. This study also showcases a collaborative approach that can be applied to study other infectious agents in the future.
“This far-reaching international study elucidates for the first time commonalities and, importantly, vulnerabilities, across coronaviruses, including our current challenge with the COVID-19 pandemic,” says Nevan Krogan, Director of QBI and Senior Investigator at Gladstone Institutes. “In unique and rapid fashion, we were able to bridge biological and functional insights with clinical outcomes, providing an exemplary model of a differentiated way to conduct research into any disease, rapidly identify promising treatments and advance knowledge in the fields of both science and medicine. This body of work was only made possible through the collaborative efforts of senior scientific thought leaders and the teams of next-generation researchers at premier institutions across the globe.”
Gordan, D.E., et al. (2020) Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms. Science. doi.org/10.1126/science.abe9403.