For Easter Sunday, I shared a message of hope with viewers of CBS Sunday Morning. My message: We are at a “love your neighbor” moment with the COVID-19 pandemic, a time when Americans can get vaccinated to help protect others from severe illness and death. The vaccines are a gift to all of us. Do your part. Unwrap the gift, roll up your sleeve, and save lives.

Since the genome sequence of SARS-CoV-2, the virus responsible for COVID-19, was first reported in January 2020, thousands of variants have been reported. In the vast majority of cases, these variants, which arise from random genomic changes as SARS-CoV-2 makes copies of itself in an infected person, haven’t raised any alarm among public health officials. But that’s now changed with the emergence of at least three variants carrying mutations that potentially make them even more dangerous.

At the top of this short list is a variant known as B.1.1.7, first detected in the United Kingdom in September 2020. This variant is considerably more contagious than the original virus. It has spread rapidly around the globe and likely accounts already for at least one-third of all cases in the United States [1]. Now comes more troubling news: emerging evidence indicates that infection with this B.1.1.7 variant also comes with an increased risk of severe illness and death [2].

The findings, reported in Nature, come from Nicholas Davies, Karla Diaz-Ordaz, and Ruth Keogh, London School of Hygiene and Tropical Medicine. The London team earlier showed that this new variant is 43 to 90 percent more transmissible than pre-existing variants that had been circulating in England [3]. But in the latest paper, the researchers followed up on conflicting reports about the virulence of B.1.1.7.

They did so with a large British dataset linking more than 2.2 million positive SARS-CoV-2 tests to 17,452 COVID-19 deaths from September 1, 2020, to February 14, 2021. In about half of the cases (accounting for nearly 5,000 deaths), it was possible to discern whether or not the infection had been caused by the B.1.1.7 variant.

Based on this evidence, the researchers calculated the risk of death associated with B.1.1.7 infection. Their estimates suggest that B.1.1.7 infection was associated with 55 percent greater mortality compared to other SARS-CoV-2 variants over this time period.

For a 55- to 69-year-old male, this translates to a 0.9-percent absolute, or personal, risk of death, up from 0.6 percent for the older variants. That means nine in every 1,000 people in this age group who test positive with the B.1.1.7 variant would be expected to die from COVID-19 a month later. For those infected with the original virus, that number would be six.

Adapted from Centers for Disease Control and Prevention

These findings are in keeping with those of another recent study reported in the British Medical Journal [4]. In that case, researchers at the University of Exeter and the University of Bristol found that the B.1.1.7 variant was associated with a 64 percent greater chance of dying compared to earlier variants. That’s based on an analysis of data from more than 100,000 COVID-19 patients in the U.K. from October 1, 2020, to January 28, 2021.

That this variant comes with increased disease severity and mortality is particularly troubling news, given the highly contagious nature of B.1.1.7. In fact, Davies’ team has concluded that the emergence of new SARS-CoV-2 variants now threaten to slow or even cancel out improvements in COVID-19 treatment that have been made over the last year. These variants include not only B1.1.7, but also B.1.351 originating in South Africa and P.1 from Brazil.

The findings are yet another reminder that, while we’re making truly remarkable progress in the fight against COVID-19 with increasing availability of safe and effective vaccines (more than 45 million Americans are now fully immunized), now is not the time to get complacent. This devastating pandemic isn’t over yet.

The best way to continue the fight against all SARS-CoV-2 variants is for each one of us to do absolutely everything we can to stop their spread. This means that taking the opportunity to get vaccinated as soon as it is offered to you, and continuing to practice those public health measures we summarize as the three Ws: Wear a mask, Watch your distance, Wash your hands often.

References:

[1] US COVID-19 Cases Caused by Variants. Centers for Disease Control and Prevention.

[2] Increased mortality in community-tested cases of SARS-CoV-2 lineage B.1.1.7. Davies NG, Jarvis CI; CMMID COVID-19 Working Group, Edmunds WJ, Jewell NP, Diaz-Ordaz K, Keogh RH. Nature. 2021 Mar 15.

[3] Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England. Davies NG, Abbott S, Barnard RC, Jarvis CI, Kucharski AJ, Munday JD, Pearson CAB, Russell TW, Tully DC, Washburne AD, Wenseleers T, Gimma A, Waites W, Wong KLM, van Zandvoort K, Silverman JD; CMMID COVID-19 Working Group; COVID-19 Genomics UK (COG-UK) Consortium, Diaz-Ordaz K, Keogh R, Eggo RM, Funk S, Jit M, Atkins KE, Edmunds WJ.Science. 2021 Mar 3:eabg3055.

[4] Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study. Challen R, Brooks-Pollock E, Read JM, Dyson L, Tsaneva-Atanasova K, Danon L. BMJ. 2021 Mar 9;372:n579.Links:

COVID-19 Research (NIH)Nicholas Davies (London School of Hygiene and Tropical Medicine, U.K.)Ruth Keogh (London School of Hygiene and Tropical Medicine, U.K.)

Credit: Zoe Global

As devastating as this pandemic has been, it’s truly inspiring to see the many innovative ways in which researchers around the world have enlisted the help of everyday citizens to beat COVID-19. An intriguing example is the COVID Symptom Study’s smartphone-based app, which already has been downloaded millions of times, mostly in the United States and United Kingdom. Analyzing data from 2.6 million app users, researchers published a paper last summer showing that self-reported symptoms can help to predict infection with SARS-CoV-2, the coronavirus that causes COVID-19 [1].

New work from the COVID Symptom Study now takes advantage of the smartphone app to shed more light on Long COVID Syndrome [2], in which people experience a constellation of symptoms long past the time that they’ve recovered from the initial stages of COVID-19 illness. Such symptoms, which can include fatigue, shortness of breath, “brain fog,” sleep disorders, fevers, gastrointestinal symptoms, anxiety, and depression, can persist for months and can range from mild to incapacitating

This latest findings, published in the journal Nature Medicine, come from a team led by Claire Steves and Tim Spector, King’s College London, and their colleagues, and that includes NIH grantee Andrew Chan, Massachusetts General Hospital, Boston, and others supported by the Massachusetts Consortium on Pathogen Readiness. The team began by looking at data recorded between March 24-Sept. 2, 2020 from about 4.2 million app users with an average age of 45, about 90 percent of whom lived in the U.K., with smaller numbers from the U.S. and Sweden.

For this particular study, the researchers decided to focused on 4,182 app users, all with confirmed COVID-19, who had consistently logged in their symptoms. Because these individuals also started using the app when they still felt physically well, the researchers could assess their COVID-19-associated symptoms over the course of the illness.

While most people who developed COVID-19 were back to normal in less than two weeks, the data suggest that one in 20 people with COVID-19 are likely to suffer symptoms of Long COVID that persist for eight weeks or more. About one in 50 people continued to have symptoms for 12 weeks or more. That suggests Long COVID could potentially affect many hundreds of thousands of people in the U.K. alone and millions more worldwide.

The team found that the individuals most likely to develop Long COVID were older people, women, and especially those who experienced five or more symptoms. The nature and order of symptoms, which included fatigue, headache, shortness of breath, and loss of smell, didn’t matter. People with asthma also were more likely to develop long-lasting symptoms, although the study found no clear links to any other pre-existing health conditions.

Using this information, the researchers developed a model to predict which individuals were most likely to develop Long COVID. Remarkably, this simple algorithm—based on age, gender, and number of early symptoms–accurately predicted almost 70 percent of cases of Long COVID. It was also about 70 percent effective in avoiding false alarms.

The team also validated the algorithm’s predictive ability in data from an independent group of 2,472 people with confirmed COVID-19 and a range of symptoms. In this group, having more than five symptoms within the first week also proved to be the strongest predictor of Long COVID. And, again, the model worked quite well in identifying those most likely to develop Long COVID.

These findings come as yet another important reminder of the profound impact of the COVID-19 pandemic on public health. This includes not only people who are hospitalized with severe COVID-19 but, all too often, those who get through the initial period of infection relatively unscathed.

Recently, NIH announced a $1.15 billion investment to identify the causes of Long COVID, to develop ways of treating individuals who don’t fully recover, and, ultimately, to prevent the disorder. We’ve been working diligently in recent weeks to identify the most pressing questions and areas of greatest opportunity to address this growing public health threat. As a first step, NIH is funding an effort to track the recovery paths of at least 40,000 adults and children infected with SARS-CoV-2, to learn more about who develops long-term effects and who doesn’t. If you’d like to find a way to pitch in and help, getting involved in the COVID Symptom Study is as easy as downloading the app.

References:

[1] Real-time tracking of self-reported symptoms to predict potential COVID-19. Menni C, Valdes AM, Freidin MB, Sudre CH, Nguyen LH, Drew DA, Ganesh S, Varsavsky T, Cardoso MJ, El-Sayed Moustafa JS, Visconti A, Hysi P, Bowyer RCE, Mangino M, Falchi M, Wolf J, Ourselin S, Chan AT, Steves CJ, Spector TD. Nat Med. 2020 Jul;26(7):1037-1040. doi: 10.1038/s41591-020-0916-2. Epub 2020 May 11.[2] Attributes and predictors of long COVID. Sudre CH, Murray B, Varsavsky T, Graham MS, Penfold RS, Bowyer RC, Pujol JC, Klaser K, Antonelli M, Canas LS, Molteni E, Modat M, Jorge Cardoso M, May A, Ganesh S, Davies R, Nguyen LH, Drew DA, Astley CM, Joshi AD, Merino J, Tsereteli N, Fall T, Gomez MF, Duncan EL, Menni C, Williams FMK, Franks PW, Chan AT, Wolf J, Ourselin S, Spector T, Steves CJ. Nat Med. 2021 Mar 10.

Links:

NIH launches new initiative to study to “Long COVID”. 2021 Feb 23. (NIH)

COVID-19 Research (NIH)

Massachusetts Consortium on Pathogen Readiness (Boston)

COVID Symptom StudyClaire Steves (King’s College London, United Kingdom)

Tim Spector (King’s College London)

Andrew Chan (Massachusetts General Hospital, Boston)

NIH Support: National Institute of Diabetes and Digestive and Kidney Diseases

I joined approximately 80 volunteers to mark the one-year anniversary of NIH’s COVID-19 Testing Car Line. The event was held at NIH’s Gateway entrance on March 17. Pictured here with me are some of the awesome volunteers, from various NIH institutes, centers, and offices, who have helped out in many ways and at many times throughout the year to test staff who report symptoms of COVID-19. Here are some fun facts from the line: First tests performed: March 18, 2020; Coldest Day: 25 degrees on January 29, 2021; Hottest Day: 99 degrees on July 20, 2020; Distinct Staff Tested: 5,291; Total Samples Taken: 7,797; Total Carline Positives: 502. Credit: NIH

Post Link

First Anniversary of NIH’s COVID-19 Testing Car Line

NIH Blog Post Date

Thursday, March 18, 2021

The Washington National Cathedral recently hosted a special event to encourage all people, especially those of faith, to get vaccinated to protect themselves and their communities from COVID-19. As shown in this image, it was my honor to be one of those asked to speak briefly to those assembled in this sacred space. I assured everyone that the available vaccines are safe and effective, and that we now have reason for hope to put the pandemic behind us. After the comments concluded, 25 local religious leaders and clergy stepped forward to have their vaccines administered on camera to encourage others, when offered, to do the same. The event took place on the evening of March 16, 2021. Credit: NIH

CRISPR gene-editing technology has tremendous potential for making non-heritable DNA changes that can treat or even cure a wide range of devastating disorders, from HIV to muscular dystrophy Now, a recent animal study shows that another CRISPR system—targeting viral RNA instead of human DNA—could work as an inhaled anti-viral therapeutic that can be preprogrammed to seek out and foil potentially almost any flu strain and many other respiratory viruses, including SARS-CoV-2, the coronavirus that causes COVID-19.

How can that be? Other CRISPR gene-editing systems rely on a sequence-specific guide RNA to direct a scissor-like, bacterial enzyme (Cas9) to just the right spot in the genome to cut out, replace, or repair disease-causing mutations. This new anti-viral CRISPR system also relies on guide RNA. But the guide instead directs a different bacterial enzyme, called Cas13a, to the right spot in the viral genome to bind and cleave viral RNA and stop viruses from replicating in lung cells.

The findings, recently published in the journal Nature Biotechnology [1], come from the lab of Philip Santangelo, Georgia Institute of Technology and Emory University, Atlanta. Earlier studies by other groups had shown the potential of Cas13 for degrading the RNA of influenza viruses in a lab dish [2,3]. In this latest work, Santangelo and colleagues turned to mice and hamsters to see whether this enzyme could actually work in the lung tissue of a living animal.

What’s interesting is how Santangelo’s team did it. Rather than delivering the Cas13a protein itself to the lungs, the CRISPR system works by supplying a messenger RNA (mRNA) with the instructions to make the anti-viral Cas13a protein. This is the same idea as the Pfizer and Moderna mRNA-based COVID-19 vaccines, which temporarily direct your muscle cells to produce viral spike proteins that launch an immune response. In this case, the lung cells translate the Cas13a mRNA to produce the protein. Directed by the guide RNA that was also delivered to the same cells, Cas13a degrades the viral RNA and stops the infection. Because mRNA doesn’t enter the cell’s nucleus, it doesn’t interact with DNA and raise potential concerns about causing unwanted genetic changes.

The researchers designed guide RNAs that were specific to a shared, highly conserved portion of influenza viruses involved in replicating their genome and infecting other cells. They also designed another set directed to key portions of SARS-CoV-2.

Next, they delivered the Cas13a mRNA and guides straight to the lungs of animals using an adapted nebulizer, just like those used to deliver medicines to the lungs of people. In mice with influenza, Cas13a degraded influenza RNA in the lungs and the animals recovered without any apparent side effects. In SARS-CoV-2-infected hamsters, the same approach limited the virus’s ability to replicate in cells as the animals COVID-19-like symptoms improved.

The findings are the first to show that mRNA can be used to express the Cas13a protein in living lung tissue, not just in cells in a dish. It’s also the first to show that the bacterial Cas13a protein is effective at slowing or stopping replication of SARS-CoV-2. The latter raises hope that this CRISPR system could be quickly adapted to fight any future novel coronaviruses that develop the ability to infect humans.

The researchers report that this approach has potential to work against the vast majority—99 percent—of the flu strains that have circulated around the world over the last century. It also should be equally effective against the new and more contagious variants of SARS-CoV-2 now circulating around the globe. While more study is needed to understand the safety of such an anti-viral approach before trying it in humans, what’s clear is basic research advances like this one hold great potential for helping us to fight life-threatening respiratory viruses of the past, present, and future.

References:

[1] Treatment of influenza and SARS-CoV-2 infections via mRNA-encoded Cas13a in rodents. Blanchard EL, Vanover D, Bawage SS, Tiwari PM, Rotolo L, Beyersdorf J, Peck HE, Bruno NC, Hincapie R, Michel F, Murray J, Sadhwani H, Vanderheyden B, Finn MG, Brinton MA, Lafontaine ER, Hogan RJ, Zurla C, Santangelo PJ. Nat Biotechnol. 2021 Feb 3. [Published online ahead of print.]

[2] Programmable inhibition and detection of RNA viruses using Cas13. Freije CA, Myhrvold C, Boehm CK, Lin AE, Welch NL, Carter A, Metsky HC, Luo CY, Abudayyeh OO, Gootenberg JS, Yozwiak NL, Zhang F, Sabeti PC. Mol Cell. 2019 Dec 5;76(5):826-837.e11.

[3] Development of CRISPR as an antiviral strategy to combat SARS-CoV-2 and influenza. Abbott TR, Dhamdhere G, Liu Y, Lin X, Goudy L, Zeng L, Chemparathy A, Chmura S, Heaton NS, Debs R, Pande T, Endy D, La Russa MF, Lewis DB, Qi LS. Cell. 2020 May 14;181(4):865-876.e12.

Links:

COVID-19 Research (NIH)

Influenza (National Institute of Allergy and Infectious Diseases/NIH)

Santangelo Lab (Georgia Institute of Technology, Atlanta)

Credit: Getty Images/Hispanolistic

There are many reasons to be excited about the three COVID-19 vaccines that are now getting into arms across the United States. At the top of the list is their extremely high level of safety and protection against SARS-CoV-2, the coronavirus that causes COVID-19. Of course, those data come from clinical trials that were rigorously conducted under optimal research conditions. One might wonder how well those impressive clinical trial results will translate to the real world.

A new study published in the New England Journal of Medicine [1] offers an early answer for the Pfizer/BioNTech vaccine. The Pfizer product is an mRNA vaccine that was found in a large clinical trial to be up to 95 percent effective in preventing COVID-19, leading to its Emergency Use Authorization last December.

The new data, which come from Israel, are really encouraging. Based on a detailed analysis of nearly 600,000 people vaccinated in that nation, a research team led by Ran Balicer, The Clalit Research Institute, Tel Aviv, found that the risk of symptomatic COVID-19 infection dropped by 94 percent a week after individuals had received both doses of the Pfizer vaccine. That’s essentially the same very high level of protection that was seen in the data gathered in the earlier U.S. clinical trial.

The study also found that just a single shot of the two-dose vaccine led to a 57 percent drop in the incidence of symptomatic COVID-19 infections and a 62 percent decline in the risk of severe illness after two to three weeks. Note, however, that the protection clearly got better after folks received the second dose. While it’s too soon to say how many lives were saved in Israel thanks to full vaccination, the early data not surprisingly suggest a substantial reduction in mortality.

Israel, which is about as large as New Jersey with a population of around 9 million, currently has the world’s highest COVID-19 vaccination rate. In addition to its relatively small size, Israel also has a national health system and one of the world’s largest integrated health record databases, making it a natural choice to see how well one of the new vaccines was working in the real world.

The study took place from December 20, 2020, the start of Israel’s first vaccination drive, through February 1, 2021. This also coincided with Israel’s third and largest wave of COVID-19 infections and illness. During this same period, the B.1.1.7 variant, which was first detected in the United Kingdom, gradually became Israel’s dominant strain. That’s notable because the U.K. variant spreads from person-to-person more readily and may be associated with an increased risk of death compared with other variants [2].

Balicer and his colleagues reviewed data on 596,618 fully vaccinated individuals, ages 16 and older. A little less than one third—about 170,000—of the people studied were over age 60. To see how well the vaccine worked, the researchers carefully matched each of the vaccinated individuals in the study to an unvaccinated person with similar demographics as well as risks of infection, severe illness, and other important health attributes.

The results showed that the vaccine works remarkably well. In fact, the researchers determined that the Pfizer/BioNTech vaccine is similarly effective—94 percent to 96 percent—across adults in different age groups. It also appears that the vaccine works about equally well for individuals age 70 and older as it does for younger people.

So far, more than 92 million total vaccine doses have been administered in the U.S. With the Janssen COVID-19 vaccine (also called the Johnson & Johnson vaccine) now coming online, that number will rise even faster. For those of you who haven’t had the opportunity just yet, these latest findings should come as added encouragement to roll up your sleeve for any one of the authorized vaccines as soon as your invitation arrives.

References:

[1] BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting. Dagan N, Barda N, Kepten E, Miron O, Perchik S, Katz MA, Hernán MA, Lipsitch M, Reis B, Balicer RD. N Engl J Med. 2021 Feb 24.

[2] Emerging SARS-CoV-2 Variants. Centers for Disease Control and Prevention.

Links:COVID-19 Research (NIH)

Clalit Research Institute (Tel Aviv, Israel)

Ran Balicer (Clalit Research Institute)

Credit: SDI Productions

Doctors can’t reliably predict whether an adult newly diagnosed with COVID-19 will recover quickly or battle life-threatening complications. The same is true for children.

Thankfully, the vast majority of kids with COVID-19 don’t get sick or show only mild flu-like symptoms. But a small percentage develop a delayed, but extremely troubling, syndrome called multisystem inflammatory syndrome in children (MIS-C). This can cause severe inflammation of the heart, lungs, kidneys, brain, and other parts of the body, coming on weeks after recovering from COVID-19. Fortunately, most kids respond to treatment and make rapid recoveries.

COVID-19’s sometimes different effects on kids likely stem not from the severity of the infection itself, but from differences in the immune response or its aftermath. Additional support for this notion comes from a new study, published in the journal Nature Medicine, that compared immune responses among children and adults with COVID-19 [1]. The study shows that the antibody responses in kids and adults with mild COVID-19 are quite similar. However, the complications seen in kids with MIS-C and adults with severe COVID-19 appear to be driven by two distinctly different types of antibodies involved in different aspects of the immune response.

The new findings come from pediatric pulmonologist Lael Yonker, Massachusetts General Hospital (MGH) Cystic Fibrosis Center, Boston, and immunologist Galit Alter, the Ragon Institute of MGH, Massachusetts Institute of Technology, and Harvard, Cambridge. Yonker runs a biorepository that collects samples from kids with cystic fibrosis. When the pandemic began, she started collecting plasma samples from children with mild COVID-19. Then, when Yonker and others began to see children hospitalized with MIS-C, she collected some plasma samples from them, too.

Using these plasma samples as windows into a child’s immune response, the research teams of Yonker and Alter detailed antibodies generated in 17 kids with MIS-C and 25 kids with mild COVID-19. They also profiled antibody responses of 60 adults with COVID-19, including 26 with severe disease.

Comparing antibody profiles among the four different groups, the researchers had expected children’s antibody responses to look quite different from those in adults. But they were in for a surprise. Adults and kids with mild COVID-19 showed no notable differences in their antibody profiles. The differences only came into focus when they compared antibodies in kids with MIS-C to adults with severe COVID-19.

In kids who develop MIS-C after COVID-19, they saw high levels of long-lasting immunoglobulin G (IgG) antibodies, which normally help to control an acute infection. Those high levels of IgG antibodies weren’t seen in adults or in kids with mild COVID-19. The findings suggest that in kids with MIS-C, those antibodies may activate scavenging immune cells, called macrophages, to drive inflammation and more severe illness.

In adults with severe COVID-19, the pattern differed. Instead of high levels of IgG antibodies, adults showed increased levels of another type of antibody, called immunoglobulin A (IgA). These IgA antibodies apparently were interacting with immune cells called neutrophils, which in turn led to the release of cytokines. That’s notable because the release of too many cytokines can cause what’s known as a “cytokine storm,” a severe symptom of COVID-19 that’s associated with respiratory distress syndrome, multiple organ failure, and other life-threatening complications.

To understand how a single virus can cause such different outcomes, studies like this one help to tease out their underlying immune mechanisms. While more study is needed to understand the immune response over time in both kids and adults, the hope is that these findings and others will help put us on the right path to discover better ways to help protect people of all ages from the most severe complications of COVID-19.

Reference:

[1] Humoral signatures of protective and pathological SARS-CoV-2 infection in children. Bartsch YC, Wang C, Zohar T, Fischinger S, Atyeo C, Burke JS, Kang J, Edlow AG, Fasano A, Baden LR, Nilles EJ, Woolley AE, Karlson EW, Hopke AR, Irimia D, Fischer ES, Ryan ET, Charles RC, Julg BD, Lauffenburger DA, Yonker LM, Alter G. Nat Med. 2021 Feb 12.

Links:

COVID-19 Research (NIH)

“NIH effort seeks to understand MIS-C, range of SARS-CoV-2 effects on children,” NIH news release, March 2, 2021.

Lael Yonker (Massachusetts General Hospital, Boston)

Alter Lab (Ragon Institute of Massachusetts General Hospital, MIT, and Harvard, Cambridge)

NIH Support: National Institute of Allergy and Infectious Diseases; National Cancer Institute

Credit: iStock/Bill Oxford

For the millions of Americans now eligible to receive the Pfizer or Moderna COVID-19 vaccines, it’s recommended that everyone get two shots. The first dose of these mRNA vaccines trains the immune system to recognize and attack the spike protein on the surface of SARS-CoV-2, the virus that causes COVID-19. The second dose, administered a few weeks later, boosts antibody levels to afford even better protection. People who’ve recovered from COVID-19 also should definitely get vaccinated to maximize protection against possible re-infection. But, because they already have some natural immunity, would just one shot do the trick? Or do they still need two?

A small, NIH-supported study, published as a pre-print on medRxiv, offers some early data on this important question [1]. The findings show that immune response to the first vaccine dose in a person who’s already had COVID-19 is equal to, or in some cases better, than the response to the second dose in a person who hasn’t had COVID-19. While much more research is needed—and I am definitely not suggesting a change in the current recommendations right now—the results raise the possibility that one dose might be enough for someone who’s been infected with SARS-CoV-2 and already generated antibodies against the virus.

These findings come from a research team led by Florian Krammer and Viviana Simon, Icahn School of Medicine at Mount Sinai, New York. The researchers reasoned that for folks whose bodies have already produced antibodies following a COVID-19 infection, the first shot might act similarly to the second one in someone who hadn’t had the virus before. In fact, there was some anecdotal evidence suggesting that previously infected people were experiencing stronger evidence of an active immune response (sore arm, fever, chills, fatigue) than never-infected individuals after getting their first shots.

What did the antibodies show? To find out, the researchers enlisted the help of 109 people who’d received their first dose of mRNA vaccines made by either Pfizer or Moderna. They found that those who’d never been infected by SARS-CoV-2 developed antibodies at low levels within 9 to 12 days of receiving their first dose of vaccine.

But in 41 people who tested positive for SARS-CoV-2 antibodies prior to getting the first shot, the immune response looked strikingly different. They generated high levels of antibodies within just a few days of getting the vaccine. Compared across different time intervals, previously infected people had immune responses 10 to 20 times that observed in uninfected people. Following their second vaccine dose, it was roughly the same story. Antibody levels in those with a prior infection were about 10 times greater than the others.

Both vaccines were generally well tolerated. But, because their immune systems were already in high gear, people who were previously infected tended to have more symptoms following their first shot, such as pain and swelling at the injection site. They also were more likely to report other less common symptoms, including fatigue, fever, chills, headache, muscle aches, and joint pain.

Though sometimes it may not seem like it, COVID-19 and the mRNA vaccines are still relatively new. Researchers haven’t yet been able to study how long these vaccines confer immunity to the disease, which has now claimed the lives of more than 500,000 Americans. But these findings do suggest that a single dose of the Pfizer or Moderna vaccines can produce a rapid and strong immune response in people who’ve already recovered from COVID-19.

If other studies support these results, the U.S. Food and Drug Administration (FDA) might decide to consider whether one dose is enough for people who’ve had a prior COVID-19 infection. Such a policy is already under consideration in France and, if implemented, would help to extend vaccine supply and get more people vaccinated sooner. But any serious consideration of this option will require more data. It will also be up to the expert advisors at FDA and Centers for Disease Control and Prevention (CDC) to decide.

For now, the most important thing all of us can all do to get this terrible pandemic under control is to follow the 3 W’s—wear our masks, wash our hands, watch our distance from others—and roll up our sleeves for the vaccine as soon as it’s available to us.

Reference:

[1] Robust spike antibody responses and increased reactogenicity in seropositive individuals after a single dose of SARS-CoV-2 mRNA vaccine. Krammer F et al. medRxiv. 2021 Feb 1.

Links:

COVID-19 Research (NIH)

Krammer Lab (Icahn School of Medicine at Mount Sinai, New York, NY)

Simon Lab (Icahn School of Medicine at Mount Sinai)

NIH Support: National Institute of Allergy and Infectious Diseases

Credit: iStock/Thomas Faull

Considerable research is underway around the world to monitor the spread of new variants of SARS-CoV-2, the coronavirus that causes COVID-19. That includes the variant B.1.351 (also known as 501Y.V2), which emerged in South Africa towards the end of 2020 [1, 2]. Public health officials in South Africa have been busy tracing the spread of this genomic variant and others across their country. And a new analysis of such data reveals that dozens of distinct coronavirus variants were already circulating in South Africa well before the appearance of B.1.351.

A study of more than 1,300 near-whole genome sequences of SARS-CoV-2, published recently in the journal Nature Medicine, shows there were in fact at least 42 SARS-CoV-2 variants spreading in South Africa within the pandemic’s first six months in that country [3]. Among them were 16 variants that had never before been described. Most of the single-letter changes carried by these variants didn’t change the virus in important ways and didn’t rise to significant frequency. But the findings come as another critical reminder of the value of genomic surveillance to track the spread of SARS-CoV-2 to identify any potentially worrisome new variants and to inform measures to get this devastating pandemic under control.

SARS-CoV-2 was first detected in South Africa on March 5, 2020, in a traveler returning from Italy. By November 2020, despite considerable efforts to slow the spread, more than 785,000 people in South Africa were infected, accounting for about half of all reported COVID-19 cases on the African continent.

Recognizing the importance of genomic surveillance, researchers led by Houriiyah Tegally and Tulio de Oliveira, University of KwaZulu-Natal, Durban, South Africa, wasted no time in producing 1,365 near-complete SARS-CoV-2 genomes by mid-September, near the end of the coronavirus’s first peak in the country. Those samples had been collected in hundreds of clinics over the course of the pandemic in eight of South Africa’s nine provinces, offering a broad picture of the spread and emergence of new variants across the country.

The data revealed three main variants, dubbed B.1.1.54, B.1.1.56, and C.1, that were responsible for 42 percent of all the infections in South Africa’s first wave. Of the 16 newly described variants, most carried single-letter changes that haven’t been identified in other countries.

The majority of changes were what scientists refer to as “synonymous,” meaning that they don’t change the structure or function of any of the virus’s essential proteins. The exception is the newly identified C.1, which includes 16 single-letter changes compared to the original sequence from Wuhan, China. One of those 16 changes swaps a single amino acid for another on SARS-CoV-2’s spike protein. That’s notable because the spike protein is a key target of antibodies and also is essential to the virus’s ability to infect human cells.

In fact, four of the most prevalent variants in South Africa all carry this same mutation. The researchers also saw three other changes that would alter the spike protein in different ways, although the significance of these for viral spread and our efforts to stop it isn’t yet clear.

Importantly, the data show that the bulk of introductions to South Africa happened early on, before lockdown and travel restrictions were implemented in late March. Subsequently, much of the spread within South Africa stemmed from hospital outbreaks. For example, an outbreak of the C.1 variant in the North West Province in April ultimately led this variant to become the most geographically widespread in South Africa by the end of August. Meanwhile, an earlier identified South African-specific variant, B.1.106, first identified in April, vanished altogether after outbreaks were controlled in KwaZulu-Natal Province, where the researchers reside.

Genomic surveillance has remarkable power for understanding the evolution of SARS-CoV-2 and tracking the dynamics of its transmission. Tegally and de Oliveira’s team notes that this type of intensive genomic surveillance now can be used on a large scale across Africa and around the world to identify new variants of SARS-CoV-2 and to develop timely measures to control the spread of the virus. They’re now working with the African CDC to expand genomic surveillance across Africa [4].

Such genomic surveillance was crucial in the subsequent identification of the B.1.351 variant in South Africa that we’ve been hearing so much about, with its potential to evade our current treatments and vaccines. By picking up on such concerning mutations early through genomic surveillance and understanding how the virus is spreading over time and space, the hope is we’ll be better informed and more adept in our efforts to get this pandemic under control.

References:

[1] Emerging SARS-CoV-2 variants. Centers for Disease Control and Prevention.

[2] Emergence and rapid spread of a new severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) lineage with multiple spike mutations in South Africa. Tegally H, Wilkinson E, Giovanetti M, Iranzadeh A, Bhiman J, Williamson C, de Oliveira T, et al. medRxiv 2020 Dec 22.

[3] Sixteen novel lineages of SARS-CoV-2 in South Africa. Tegally H, Wilkinson E, Lessells RJ, Giandhari J, Pillay S, Msomi N, Mlisana K, Bhiman JN, von Gottberg A, Walaza S, Fonseca V, Allam M, Ismail A, Glass AJ, Engelbrecht S, Van Zyl G, Preiser W, Williamson C, Petruccione F, Sigal A, Gazy I, Hardie D, Hsiao NY, Martin D, York D, Goedhals D, San EJ, Giovanetti M, Lourenço J, Alcantara LCJ, de Oliveira T. Nat Med. 2021 Feb 2.

[4] Accelerating genomics-based surveillance for COVID-19 response in Africa. Tessema SK, Inzaule SC, Christoffels A, Kebede Y, de Oliveira T, Ouma AEO, Happi CT, Nkengasong JN.Lancet Microbe. 2020 Aug 18.

Links:

COVID-19 Research (NIH)

Houriiyah Tegally (University of KwaZulu-Natal, Durban, South Africa)

Tulio de Oliveira (University of KwaZulu-Natal)