Posted on by Dr. Francis Collins
It usually takes more than a decade to develop a safe, effective anti-viral therapy. But, when it comes to coronavirus disease 2019 (COVID-19), we don’t have that kind of time. One way to speed the process may be to put some old drugs to work against this new disease threat. This is generally referred to as “drug repurposing.”
NIH has been doing everything possible to encourage screens of existing drugs that have been shown safe for human use. In a recent NIH-funded study in the journal Nature, researchers screened a chemical “library” that contained nearly 12,000 existing drug compounds for their potential activity against SARS-CoV-2, the novel coronavirus that causes COVID-19 . The results? In tests in both non-human primate and human cell lines grown in laboratory conditions, 21 of these existing drugs showed potential for repurposing to thwart the novel coronavirus—13 of them at doses that likely could be safely given to people. The majority of these drugs have been tested in clinical trials for use in HIV, autoimmune diseases, osteoporosis, and other conditions.
These latest findings come from an international team led by Sumit Chanda, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA. The researchers took advantage of a small-molecule drug library called ReFRAME , which was created in 2018 by Calibr, a non-profit drug discovery division of Scripps Research, La Jolla, CA.
In collaboration with Yuen Kwok-Yung’s team at the University of Hong Kong, the researchers first developed a high-throughput method that enabled them to screen rapidly each of the 11,987 drug compounds in the ReFRAME library for their potential to block SARS-CoV-2 in cells grown in the lab. The first round of testing narrowed the list of possible COVID-19 drugs to about 300. Next, using lower concentrations of the drugs in cells exposed to a second strain of SARS-CoV-2, they further narrowed the list to 100 compounds that could reliably limit growth of the coronavirus by at least 40 percent.
Generally speaking, an effective anti-viral drug is expected to show greater activity as its concentration is increased. So, Chanda’s team then tested those 100 drugs for evidence of such a dose-response relationship. Twenty-one of them passed this test. This group included remdesivir, a drug originally developed for Ebola virus disease and recently authorized by the U.S. Food and Drug Administration (FDA) for emergency use in the treatment of COVID-19. Remdesivir could now be considered a positive control.
These findings raised another intriguing question: Could any of the other drugs with a dose-response relationship work well in combination with remdesivir to block SARS-CoV-2 infection? Indeed, the researchers found that four of them could.
Further study showed that some of the most promising drugs on the list reduced the number of SARS-CoV-2 infected cells by 65 to 85 percent. The most potent of these was apilimod, a drug that has been evaluated in clinical trials for treating Crohn’s disease, rheumatoid arthritis, and other autoimmune conditions. Apilimod is now being evaluated in the clinic for its ability to prevent the progression of COVID-19. Another potential antiviral to emerge from the study is clofazimine, a 70-year old FDA-approved drug that is on the World Health Organization’s list of essential medicines for the treatment of leprosy.
Overall, the findings suggest that there may be quite a few existing drugs and/or experimental drugs fairly far along in the development pipeline that have potential to be repurposed for treating COVID-19. What’s more, some of them might also work well in combination with remdesivir, or perhaps other drugs, as treatment “cocktails,” such as those used to successfully treat HIV and hepatitis C.
This is just one of a wide variety of drug screening efforts that are underway, using different libraries and different assays to detect activity against SARS-CoV-2. The NIH’s National Center for Advancing Translational Sciences has established an open data portal to collect all of these data as quickly and openly as possible. As NIH continues its efforts to use the power of science to end the COVID-19 pandemic, it is critically important that we explore as many avenues as possible for developing diagnostics, treatments, and vaccines.
 Discovery of SARS-CoV-2 antiviral drugs through large-scale compound repurposing. Riva L, Yuan S, Yin X, et al. Nature. 2020 Jul 24 [published online ahead of print]
 The ReFRAME library as a comprehensive drug repurposing library and its application to the treatment of cryptosporidiosis. Janes J, Young ME, Chen E, et al. Proc Natl Acad Sci USA. 2018;115(42):10750-10755.
Coronavirus (COVID-19) (NIH)
ReFRAMEdb (Scripps Research, La Jolla, CA)
The Chanda Lab (Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA)
Yuen Kwok-Yung (University of Hong Kong)
OpenData|Covid-19 (National Center for Advancing Translational Sciences/NIH)
NIH Support: National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences
Posted on by Dr. Francis Collins
Much of the study on the immune response to SARS-CoV-2, the novel coronavirus that causes COVID-19, has focused on the production of antibodies. But, in fact, immune cells known as memory T cells also play an important role in the ability of our immune systems to protect us against many viral infections, including—it now appears—COVID-19.
An intriguing new study of these memory T cells suggests they might protect some people newly infected with SARS-CoV-2 by remembering past encounters with other human coronaviruses. This might potentially explain why some people seem to fend off the virus and may be less susceptible to becoming severely ill with COVID-19.
The findings, reported in the journal Nature, come from the lab of Antonio Bertoletti at the Duke-NUS Medical School in Singapore . Bertoletti is an expert in viral infections, particularly hepatitis B. But, like so many researchers around the world, his team has shifted their focus recently to help fight the COVID-19 pandemic.
Bertoletti’s team recognized that many factors could help to explain how a single virus can cause respiratory, circulatory, and other symptoms that vary widely in their nature and severity—as we’ve witnessed in this pandemic. One of those potential factors is prior immunity to other, closely related viruses.
SARS-CoV-2 belongs to a large family of coronaviruses, six of which were previously known to infect humans. Four of them are responsible for the common cold. The other two are more dangerous: SARS-CoV-1, the virus responsible for the outbreak of Severe Acute Respiratory Syndrome (SARS), which ended in 2004; and MERS-CoV, the virus that causes Middle East Respiratory Syndrome (MERS), first identified in Saudi Arabia in 2012.
All six previously known coronaviruses spark production of both antibodies and memory T cells. In addition, studies of immunity to SARS-CoV-1 have shown that T cells stick around for many years longer than acquired antibodies. So, Bertoletti’s team set out to gain a better understanding of T cell immunity against the novel coronavirus.
The researchers gathered blood samples from 36 people who’d recently recovered from mild to severe COVID-19. They focused their attention on T cells (including CD4 helper and CD8 cytotoxic, both of which can function as memory T cells). They identified T cells that respond to the SARS-CoV-2 nucleocapsid, which is a structural protein inside the virus. They also detected T cell responses to two non-structural proteins that SARS-CoV-2 needs to make additional copies of its genome and spread. The team found that all those recently recovered from COVID-19 produced T cells that recognize multiple parts of SARS-CoV-2.
Next, they looked at blood samples from 23 people who’d survived SARS. Their studies showed that those individuals still had lasting memory T cells today, 17 years after the outbreak. Those memory T cells, acquired in response to SARS-CoV-1, also recognized parts of SARS-CoV-2.
Finally, Bertoletti’s team looked for such T cells in blood samples from 37 healthy individuals with no history of either COVID-19 or SARS. To their surprise, more than half had T cells that recognize one or more of the SARS-CoV-2 proteins under study here. It’s still not clear if this acquired immunity stems from previous infection with coronaviruses that cause the common cold or perhaps from exposure to other as-yet unknown coronaviruses.
What’s clear from this study is our past experiences with coronavirus infections may have something important to tell us about COVID-19. Bertoletti’s team and others are pursuing this intriguing lead to see where it will lead—not only in explaining our varied responses to the virus, but also in designing new treatments and optimized vaccines.
 SARS-CoV-2-specific T cell immunity in cases of COVID-19 and SARS, and uninfected controls. Le Bert N, Tan AT, Kunasegaran K, et al. Nature. 2020 July 15. [published online ahead of print]
Coronavirus (COVID-19) (NIH)
Overview of the Immune System (National Institute of Allergy and Infectious Diseases/NIAID)
Bertoletti Lab (Duke-NUS Medical School, Singapore)
Posted on by Dr. Francis Collins
Developing faster, more convenient ways of testing for coronavirus disease 2019 (COVID-19) will be essential to our efforts to end this deadly pandemic. Despite the tremendous strides that have been made in diagnostics over the past seven months, we still need more innovation.
We need reliable, affordable tests for the presence SARS-CoV-2—the novel coronavirus that causes COVID-19—that do not take hours or days to deliver results. We need tests that are more user friendly, and that don’t rely on samples collected by swabs that have to be inserted deep into the nose by someone wearing PPE. We need tests that can be performed at the point-of-care, whether a doctor’s office, urgent care clinic, long-term care facility, or even a home. Ideally, such tests should also be able to integrate with mobile devices to convey results and transmit data seamlessly. Above all, we need tests that are accessible to everyone.
Most current diagnostic tests for SARS-CoV-2 involve detecting viral genetic material using a decades-old technology called the polymerase chain reaction (PCR). If there’s even a tiny bit of viral genetic material in a patient’s sample, PCR can amplify the material millions of times so that it can be readily detected. The problem is that this amplification process is time-consuming and requires a thermal cycling machine that’s generally operated by trained personnel in sophisticated lab settings.
To spur the creation of new approaches that can rapidly expand access to testing, NIH launched the Rapid Acceleration of Diagnostics (RADx) program in late April 2020. This fast-paced, innovative effort, conducted in partnership with the Office of the Assistant Secretary of Health, the Biomedical Advanced Research and Development Authority (BARDA), and the Department of Defense, is supported by $1.5 billion in federal stimulus funding. The goal? To expand diagnostic testing capacity for COVID-19 in the United States to about 6 million tests per day by December. That’s quite a leap forward because our nation’s current testing capacity is currently about 1 million tests per day.
Just yesterday, I joined other NIH leaders in authoring a special report in the New England Journal of Medicine that describes RADx’s main activities, and provides an update on the remarkable progress that’s been made in just three short months . In a nutshell, RADx consists of four components: RADx-tech, RADx Advanced Technology Platforms (RADx-ATP). RADx Radical (RADx-rad), and RADx Underserved Populations (RADx-UP).
Though all parts of RADx are operating on a fast-track, RADx-tech has embraced its rapid timelines in a can-do manner unlike anything that I’ve encountered in my 27 years in government. Here’s how the process, which has been likened to a scientific “shark tank,” works.
Once an applicant submits a test idea to RADx-tech, it’s reviewed within a day by a panel of 30 experts. If approved, the application moves to a highly competitive “shark-tank” in which a team of experts spend about 150 to 200 person-hours with the applicant evaluating the technical, clinical, and commercial strengths and weaknesses of the proposed test.
From there, a detailed proposal is presented to a steering committee, and then sent to NIH. If we at NIH think it’s a great idea, promising early-stage technologies enter what’s called “phase one” development, with considerable financial support and the expectation that the applicant will hit its validation milestones within a month. Technologies that succeed can then go to “phase two”, where support is provided for scale-up of tests for meeting regulatory requirements and supporting manufacture, scale-up, and distribution.
The major focus of RADx-tech is to simplify and speed diagnostic testing for COVID-19. Tests now under development include a variety of mobile devices that can be used at a doctor’s office or other point-of-care settings, and give results in less than an hour. In addition, about half of the tests now under development use saliva or another alternative to samples gathered via nasal swabs.
As Americans think about how to move back safely into schools, workspaces, and other public areas in the era of COVID-19, it is clear that we need to figure out ways to make it easier for everyone to get tested. To attain that goal, RADx has three other components that build on different aspects of this social imperative:
• RADx Advanced Technology Platforms (RADx-ATP). This program offers a rapid-response application process for firms with existing point-of-care technologies authorized by the Food and Drug Administration (FDA) for detecting SARS-CoV-2. These technologies are already advanced enough that they don’t need the shark tank. The RADx-ATP program provides support for scaling up production to between 20,000 and 100,000 tests per day by the fall. Another component of this program provides support for expanding automated “mega-labs” to increase testing capacity across the country by another 100,000 to 250,000 tests per day.
• RADx Radical (RADx-rad). The program seeks to fuel the development of truly futuristic testing technologies. For example, it supports projects that use biomarkers to detect an infection or predict the severity of disease, including the likelihood of developing COVID-related multisystem inflammatory syndrome in children (MIS-C). Other areas of interest include the use of biosensors to detect the presence of the virus in a person’s breath and the analysis of wastewater to conduct community-based surveillance.
• RADx Underserved Populations (RADx-UP). Data collected over the past several months make it clear that Blacks, Latinxs, and American Indians/Alaska Natives are hospitalized and die of COVID-19 at disproportionately higher rates than other groups. RADx-UP aims to engage underserved communities to improve access to testing. Such actions will include closely examining the factors that have led to the disproportionate burden of the pandemic on underserved populations, as well as building infrastructure that can be leveraged to provide optimal access and uptake of SARS-CoV-2 testing in such communities.
At NIH, we have great hopes for what RADx-supported research will do to help bring to an end the greatest public health crisis of our generation. Yet the benefits may not end there. The diagnostic testing technologies developed here will have many other applications moving forward. Long after the COVID-19 pandemic becomes a chapter in history books, I’m convinced the RADx model of rapid innovation will be inspiring future generations of researchers as they look for creative new ways to address other diseases and conditions.
 Rapid scaling up of COVID-19 diagnostic testing in the United States—The NIH RADx Initiative. Tromberg BJ, Schwetz TA, Perez-Stable E, Hodes RJ. Woychick RP, Bright RA, Fleurence RL, Collins FS. NEJM; 2020 July 16. [Online publication ahead of print]
Coronavirus (COVID-19) (NIH)
“NIH mobilizes national innovation initiative for COVID-19 diagnostics,” NIH news release, April 29, 2020.