A new study using human genetics suggests researchers should prioritize clinical trials of drugs that target two proteins to manage COVID-19 in its early stages.
The findings appeared online in the journal Nature Medicine in March 2021.
Based on their analyses, the researchers are calling for prioritizing clinical trials of drugs targeting the proteins IFNAR2 and ACE2. The goal is to identify existing drugs, either FDA-approved or in clinical development for other conditions, that can be repurposed for the early management of COVID-19. Doing so, they say, will help keep people with the virus from being hospitalized.
IFNAR2 is the target for approved drugs often used by patients with relapsing forms of the central nervous system disorder multiple sclerosis. The researchers believe the most promising ACE2 therapy against COVID-19 is a drug that was developed before the pandemic began and has been evaluated in clinical trials to reduce the inflammatory response in patients with severe respiratory disorders.
Dr Juan P. Casas, a physician epidemiologist at the Veterans Affairs Boston Healthcare System, led the study. The research included collaborators from the University of Cambridge and the European Bioinformatics Institute in England, and Istituto Italiano di Tecnologia in Italy.
“When we started this project early last summer, most COVID-19 trials were being done on hospitalized patients,” Casas explains. “Very few treatments were being tested to give to patients early in the natural history of the disease. However, as the availability of testing against coronavirus increased, an opportunity opened to identify and treat COVID-19 patients before they progress to more severe forms that require hospitalization.
“The problem we tried to overcome,” he adds, “is how to identify if existing drugs, either approved or in clinical development for other conditions, can be repurposed for the early management of COVID-19. Most commonly used strategies for drug repurposing are based on pre-clinical studies, such as experiments in cells or animal models. However, those types of studies may have problems of reproducibility or difficulties in translating their findings to humans. That usually leads to higher rates of failure in clinical trials.”
Casas and his team used genetics as the starting point to identify drugs that can be repurposed for treating COVID-19. Large-scale human genetic studies have been widely used to inform drug development programs, with some research identifying COVID-19 drug targets.
“The reason we used human genetics is as follows,” says Casas, who is also a faculty member at Harvard Medical School. “Given that more than 90% of drugs target a human protein encoded by a gene, the opportunity is there to use genetic variants within those druggable genes as instruments to anticipate the effects that drugs targeting the same protein will have. In other words, genetic studies that used variants within druggable genes can be conceived as natural randomized trials.”
To put things into perspective, he refers to a gene that encodes a protein called PCSK9. The protein is the target of a class of drugs called PCSK9 inhibitors, which are used to lower cholesterol and prevent cardiovascular disease. Researchers discovered that class of drugs because of studies showing that people carrying a certain variant within the PCSK9 gene tend to have high levels of cholesterol and are at greater risk for cardiovascular disease.
“That kind of genetic study was pivotal to identify the PSCK9 protein as a target for drug discovery,” Casas says. “It’s known that drug targets with human genetic support have a least twice the odds of success compare to the targets without human genetic support.”
Building on these known benefits of human genetics for drug discovery, Casas and his team set out to identify all genes that encode proteins that served as targets for FDA-approved drugs or drugs in clinical development. They called this set of 1,263 genes the “actionable druggable genome.” The genes were from two large genetic datasets that totalled more than 7,500 hospitalized COVID-19 patients and more than 1 million COVID-free controls.
By comparing the genetic profiles of the hospitalized patients and the controls, and looking at which drugs target which genes, the researchers were able to pinpoint the drugs most likely to prevent severe cases of COVID-19 that require hospitalization.
The two datasets were VA’s Million Veteran Program (MVP), one of the world’s largest sources for health and genetic information, and the COVID-19 Host Genetics Initiative, a consortium of more than 1,000 scientists and researchers from over 50 countries working collaboratively to share data and ideas, recruit patients and disseminate findings.
“This study gets to the heart of why we built MVP,” says Dr Sumitra Muralidhar, director of the Million Veteran Program. “It demonstrates the potential of MVP to discover new treatments, in this case for COVID-19.”
ACE2 is highly relevant to COVID-19 because the coronavirus uses that protein to enter human cells. The most promising ACE2 therapy against COVID-19 is the drug APN01, which mimics the protein. The drug works by confusing the coronavirus so it attaches to the drug instead of the ACE2 protein in the human cell. Positive evidence is emerging from small clinical trials on the effectiveness of APN01 in COVID-19 patients, especially those that are hospitalized. “Hence, if our genetic findings are correct, there’s a need to test this strategy in clinical trials in COVID-19 outpatients,” Casas says.
The IFNAR2 protein serves as the target for a drug family known as type-I interferons, one of which is interferon beta. That drug is approved for treating patients with a degenerative form of multiple sclerosis, a chronic disease that attacks the central nervous system and disrupts the flow of information within the brain and between the brain and the body. The researchers showed that people with a certain variant of IFNAR2 had less chance of being hospitalized due to COVID-19, compared to people without the variant.
Currently, Casas is early into planning a clinical trial to test the efficiency and safety of interferon-beta in COVID-19 outpatients in VA. If his genetic findings are confirmed by a trial, he says the goal would be to prescribe the drug after people are diagnosed with COVID-19 but before their conditions require hospitalization.
Casas sees a continued need for drugs to treat people in the early phase of COVID-19, despite the ongoing worldwide vaccination campaigns.
“This is largely due to two reasons,” he says. “First, it will take some time to achieve the high levels of vaccine coverage needed to create herd immunity. In addition, certain coronavirus variants are emerging that seem to lead to a reduced vaccine efficiency. We are not yet in the clear.”
Source: Materials provided by Veterans Affairs Research Communications. Originally written by Mike Richman, VA Research Communications. Note: Content may be edited for style and length.
Reference: Liam Gaziano, Claudia Giambartolomei, Alexandre C. Pereira, Anna Gaulton, Daniel C. Posner, Sonja A. Swanson, Yuk-Lam Ho, Sudha K. Iyengar, Nicole M. Kosik, Marijana Vujkovic, David R. Gagnon, A. Patrícia Bento, Inigo Barrio-Hernandez, Lars Rönnblom, Niklas Hagberg, Christian Lundtoft, Claudia Langenberg, Maik Pietzner, Dennis Valentine, Stefano Gustincich, Gian Gaetano Tartaglia, Elias Allara, Praveen Surendran, Stephen Burgess, Jing Hua Zhao, James E. Peters, Bram P. Prins, Emanuele Di Angelantonio, Poornima Devineni, Yunling Shi, Kristine E. Lynch, Scott L. DuVall, Helene Garcon, Lauren O. Thomann, Jin J. Zhou, Bryan R. Gorman, Jennifer E. Huffman, Christopher J. O’Donnell, Philip S. Tsao, Jean C. Beckham, Saiju Pyarajan, Sumitra Muralidhar, Grant D. Huang, Rachel Ramoni, Pedro Beltrao, John Danesh, Adriana M. Hung, Kyong-Mi Chang, Yan V. Sun, Jacob Joseph, Andrew R. Leach, Todd L. Edwards, Kelly Cho, J. Michael Gaziano, Adam S. Butterworth, Juan P. Casas. Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19. Nature Medicine, 2021; DOI: 10.1038/s41591-021-01310-z
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