Posted on by Dr. Francis Collins
More than 170 million Americans already have received COVID-19 vaccines. As this number continues to grow and expand to younger age groups, I’m filled with overwhelming gratitude for all of the researchers who worked so diligently, over the course of decades, to build the scientific foundation for these life-saving vaccines. One of them is Dr. Kizzmekia Corbett, who played a central role in the fact that, in the span of less than a year, we were able to develop safe and effective mRNA-based vaccines to protect against this devastating infectious disease.
As leader of the immunopathogenesis team at NIH’s Dale and Betty Bumpers Vaccine Research Center in Bethesda, MD, Dr. Corbett was ready, willing, and able when the COVID-19 pandemic emerged to take the critical first steps in developing what would become the Moderna and Pfizer/BioNTech mRNA vaccines. Recently, she accepted a position at Harvard University T.H. Chan School of Public Health, Boston, where she will soon open her own viral immunology lab to help inform future vaccine development for coronaviruses and other respiratory viruses.
While she was preparing for her move to Harvard, I had a chance to speak with Dr. Corbett about her COVID-19 research experience and what it was like to get immunized with the vaccine that she helped to create. Our conversation was part of an NIH Facebook Live event in which we connected virtually from our homes in Maryland. Here is a condensed version of our chat.
Collins: You’ve studied SARS, MERS, and other coronaviruses for many years. Then, in early January 2020, like all of us, you heard that something was going on that sounded worrisome in Wuhan, China. What did you think?
Corbett: Well, the story actually began for me on December 31, 2019. My boss Dr. Barney Graham sent me an email at 6 a.m. that said: “Get ready for 2020.” There had been some news of a respiratory virus outbreak in the Wuhan district of China. I honestly wrote it off as probably a strain of the flu. Then, we got back to NIH after the holidays, and it was determined around January 6 that the virus was for certain a coronavirus. That meant our team would be responding to it.
We sat down and planned to monitor the situation very closely. We knew exactly what to do, based on our past work. We would go into full force to make a vaccine—the one now known as “the Moderna vaccine” —as quickly as possible for testing in a clinical trial. The goal was to make the vaccine in 100 days. And so when the genetic sequence of this new virus came out on January 10, I sprung out of bed and so did everyone on the team. It’s been kind of a whirlwind ever since.
Collins: Tell us a little bit more about that. The sequence got posted on the internet by a Chinese scientist. So you have this sequence, and everyone gathers in NIH’s Vaccine Research Center. Then what happens?
Corbett: The cool thing about this type of technology is you don’t even need the lab to design the vaccine. All you need are the letters, or sequence, that encodes the virus’ genetic material displayed on your computer screen. We could actually do the work from our homes, obviously in close conversation with each other.
This sequence is the virus’s genetic code. Just like humans have families—brothers, sisters, cousins—viruses also have families. So, we could see when looking at the sequence of letters, how similar this particular virus was to viruses that we’ve worked with before in the coronavirus family. It was almost like “A-ha! This is the part of the sequence that represents the protein on the surface of the virus.”
We knew that we could take the sequence of that surface protein and use all of the knowledge that we had from previous years to design a vaccine. And that’s what we did. We took that sequence on our computer screen and said we said this is exactly how we want this vaccine to look. The process was as straightforward as that.
Collins: In other words, you already knew that these coronaviruses have spike proteins on their surface and that’s the thing that’s going to be really useful for making an antibody. You’d already taken this approach in developing a vaccine for MERS, right?
Corbett: Exactly, we’d done that for MERS. Vaccines are basically a way to teach your body how to see a pathogen. Over the years, as vaccinology and technology have progressed, different scientists have figured out that you don’t really need the whole virus as a part of the vaccine. You can just take a small portion of that virus to alert your body.
In this case, taking the spike protein and teaching your immune system how to specifically spot and attack it, you can now protect yourself from COVID-19. So, we used the sequence of that spike protein, with some modifications to make it much better as a vaccine. We then deliver that to you as a message—messenger RNA (mRNA) —to get your muscle cells briefly to make the spike protein. Then, your body sees that spike protein hanging out on your cells and makes a really specific immune response to it. That way the next time your body sees the spike protein, if you ever come into contact with the virus, your immune system is armed and ready to attack.
Collins: Say more about this messenger RNA approach. It’s been so revolutionary and one of the reasons that we got vaccines into people’s arms in just 11 months. Had this approach ever been used before?
Corbett: Yes, messenger RNA technologies have been in development from a basic science perspective for over 15 years. A lot of that work was funded by NIH. Soon after I got to NIH, I attended a meeting in London called Transforming Vaccinology. At the time, Moderna was a smaller company that was working to make messenger RNA technologies, mostly centered around cancer therapies. But they had started to test some flu vaccines that used messenger RNA. My question to the presenter was: “Every single time I see you guys present, it looks like mRNA technology has always worked. Can you tell me a time that it hasn’t?” And he said, “I can’t.”
So, our understanding of how this technology works to make really good vaccines predates this pandemic. I think one of the worries that many people have is how fast and how new this technology is. But all science is compounded knowledge—everything builds on itself.
Collins: Right! We only learned about messenger RNA, because back in the 1950s and 1960s, some researchers decided to figure out how the information in our genetic instruction book, our DNA, can ultimately turn into proteins. It turned out that the message that carries that information is made of RNA.
So, you knew which kinds of letters to program into the messenger RNA vaccine. Would you explain how this vaccine, its messenger RNA, produces a spike protein. Where does that step happen?
Corbett: Your cells are machines built for this kind of thing. I like to remind people that, on a day-in, day-out basis, our cells make proteins—all of the hormones and other things our bodies needs to survive. So, we’re not teaching the cells to do anything different than they would normally do. That’s important to understand.
The way that cells do this is by reading the mRNA sequence. As they’re reading that sequence, they chew it up, like eating it, and say, “Okay, this sequence is for this very specific protein.” Then, they make that protein and push it to the surface of your cells. That’s how it happens.
Collins: And for mRNA vaccines, that’s the point when your immune system says “Wait a minute! I don’t recognize that as part of me, so I’ve got to make an antibody to it.” Then you’re off to the races and develop your immunity. Now that this mRNA vaccine strategy has succeeded for COVID-19, could it be applied to other infectious diseases or even non-infectious conditions?
Corbett: Yes, I heard that about 60 new companies have sprouted up in the last year around messenger RNA technology. They have ideas for different types of infectious disease vaccines and cancer therapies. I expect that this technology will be transformative to medicine in general.
Collins: Here’s a question from social media: “Why does it take two shots for the Pfizer and the Moderna mRNA vaccines? Why isn’t one good enough?”
Corbett: The way that these vaccines work is much like an alarm clock. Imagine your immune system is in bed and the first shot is the alarm clock going off to say, “Hey, wake up and get ready.” And just like I did this morning, the immune system pressed snooze and took a little nap. But when you hear the alarm clock the second time, it’s like someone rushing into your room and pouring a cold bucket of water on you. You have no choice but to get out of bed.
That’s what the second dose of the vaccine does. It pushes your immune response to the next level. That’s why you need two shots to get the type of efficacy that you want and be fully protected for the optimal immune response.
Collins: You were a co-leader of the team that created what became the Moderna vaccine—and you ended up getting immunized with the Moderna vaccine. What did that feel like?
Corbett: It was pretty surreal. I cried. At the end of it, I felt a lot of relief after getting my vaccine, particularly after getting the second dose. There was this breath of fresh air. It was also a birthday present. I got my second dose the day before my 35th birthday, as a birthday present to myself.
Collins: I have to admit, I cried a little bit too after my second dose. It’s just the sense of relief and incredible gratitude that we’ve reached this point. Here we are with vaccines that have 95 percent effectiveness and an incredibly good safety record, which is almost better than we could have hoped for. I’m a person of faith, so there were a lot of my prayers that went into this and it sure felt like they got answered.
Corbett: Yes, same.
Collins: You are out there a lot talking to people about the vaccines. There are still about 100 million Americans that have not yet received their first dose. Many of them still unsure about getting vaccinated. What do you say to those who are on the fence?
Corbett: In this past year, I’ve spent a lot of time talking about the vaccine with people in the community. One thing that I realized, is that I don’t need to say anything unless I’m asked. I think it’s important that I listen first, instead of just speaking.
So I do that, and I try to answer people’s inquiries as specifically as possible. But people have some very broad questions. One thing that is happening is people are seeing vaccines being developed right before their eyes. That can be a little confusing. I try to explain the process, how we went from the preclinical stage all the way to the point of getting the vaccine to hundreds of millions of people. I explain how each step along the way is very highly vetted by regulatory agencies and data safety monitoring committees. I also tell them that the monitoring continues. People from the clinical trials are still being evaluated, and there’s monitoring in the real world as the vaccine is being rolled out. I think that all of those things are really important for people to know.
Collins: Another question from social media: “As a successful scientist, what advice would you give to people who are thinking about a career in science?”
Corbett: If you think you’re interested, you just have to start. There are internship programs, there are scholarship programs, there are shadowing programs all over this country and even globally that can help you get your feet wet. I think the first thing that you want to do with any career is to figure out whether or not you like it. The only way that you can do that is to just explore, explore, explore.
Collins: Didn’t you kind of roll up your sleeves and take the plunge at a young age?
Corbett: Yes, at age 16, I went off and did summer internships at the University of North Carolina. I was able to see first-hand the day-to-day life of science and what being a scientist would look like. That was really important for me. That’s what I mean by exploring.
Collins: And a follow-up question: “Is the biomedical research community welcoming to women of color?”
Corbett: Not always, frankly. I was very fortunate to have been under the wings of a lot of mentors and advocates, who have helped to advance my career to where it is now. I had great mentors at NIH. My graduate school mentor was amazing, and my main collaborator in the coronavirus field was on my dissertation committee. Even prior to this pandemic, when I was doing work that was very obscure, he checked on me very often and made sure that he had a sense of where I wanted to go and how he could help me get there, including collaborating with me.
That kind of thing is very important, particularly for women of color or anyone from a marginalized community. That’s because there will be a point where there might be a glass ceiling. Unfortunately, we don’t necessarily have the tools to break those just yet. So, someone else is going to have to break those down, and most often than not, that person is going to have to be a white man. Finding those people who are allies with you and joining in your fight for your career trajectory is very helpful.
I remember when I was choosing a college, it was a very difficult decision for me. I got accepted into Ivy League schools, and I’d gone to all of the scholarship weekends all over the country. When I was making the decision, my dad said, “Kizzy, just always go where there is love.”
That really sticks to me with every single choice that I make around my career. You want to be at a place that’s welcoming, a place that understands you, and a place that fosters the next version of who you are destined to be. You need to make sure to step back outside of the day-to-day stuff and say, “Okay, does this place love me and people like me?” It’s important to remember that’s how you thrive: when you are comfortable in and in love with your environment.
Collins: Yes, we have to move our scientific workforce into a place where it is not necessary for a white man to advocate for a talented Black woman. There’s something very wrong with that particular circumstance. As NIH Director, I want to assure you, we are motivated more than ever to change that, including through a new initiative called UNITE. We’re missing out on welcoming the talents of so many folks who currently don’t see our research agenda as theirs, and we need to change that.
Kizzmekia, this has been a lot of fun. Thank you for giving us a half-hour of your time when you’re in the midst of this crazy two-week period of moving from Bethesda to Boston. We wish you the very best for this next chapter, which I know is going to be just amazing.
Corbett: Thank you so much.
Video: COVID-19 mRNA Vaccine Q & A – Kizzmekia Corbett and Francis Collins (NIH)
Video: Lead COVID-19 scientist Kizzmekia Corbett to join Harvard Chan School faculty (Harvard University, Boston)
COVID-19 Research (NIH)
Dale and Betty Bumpers Vaccine Research Center (National Institute of Allergy and Infectious Diseases/NIH)
UNITE Initiative (NIH)
Posted on by Dr. Francis Collins
At the close of every year, editors and writers at the journal Science review the progress that’s been made in all fields of science—from anthropology to zoology—to select the biggest advance of the past 12 months. In most cases, this Breakthrough of the Year is as tough to predict as the Oscar for Best Picture. Not in 2020. In a year filled with a multitude of challenges posed by the emergence of the deadly coronavirus disease 2019 (COVID-2019), the breakthrough was the development of the first vaccines to protect against this pandemic that’s already claimed the lives of more than 360,000 Americans.
In keeping with its annual tradition, Science also selected nine runner-up breakthroughs. This impressive list includes at least three areas that involved efforts supported by NIH: therapeutic applications of gene editing, basic research understanding HIV, and scientists speaking up for diversity. Here’s a quick rundown of all the pioneering advances in biomedical research, both NIH and non-NIH funded:
Shots of Hope. A lot of things happened in 2020 that were unprecedented. At the top of the list was the rapid development of COVID-19 vaccines. Public and private researchers accomplished in 10 months what normally takes about 8 years to produce two vaccines for public use, with more on the way in 2021. In my more than 25 years at NIH, I’ve never encountered such a willingness among researchers to set aside their other concerns and gather around the same table to get the job done fast, safely, and efficiently for the world.
It’s also pretty amazing that the first two conditionally approved vaccines from Pfizer and Moderna were found to be more than 90 percent effective at protecting people from infection with SARS-CoV-2, the coronavirus that causes COVID-19. Both are innovative messenger RNA (mRNA) vaccines, a new approach to vaccination.
For this type of vaccine, the centerpiece is a small, non-infectious snippet of mRNA that encodes the instructions to make the spike protein that crowns the outer surface of SARS-CoV-2. When the mRNA is injected into a shoulder muscle, cells there will follow the encoded instructions and temporarily make copies of this signature viral protein. As the immune system detects these copies, it spurs the production of antibodies and helps the body remember how to fend off SARS-CoV-2 should the real thing be encountered.
It also can’t be understated that both mRNA vaccines—one developed by Pfizer and the other by Moderna in conjunction with NIH’s National Institute of Allergy and Infectious Diseases—were rigorously evaluated in clinical trials. Detailed data were posted online and discussed in all-day meetings of an FDA Advisory Committee, open to the public. In fact, given the high stakes, the level of review probably was more scientifically rigorous than ever.
First CRISPR Cures: One of the most promising areas of research now underway involves gene editing. These tools, still relatively new, hold the potential to fix gene misspellings—and potentially cure—a wide range of genetic diseases that were once to be out of reach. Much of the research focus has centered on CRISPR/Cas9. This highly precise gene-editing system relies on guide RNA molecules to direct a scissor-like Cas9 enzyme to just the right spot in the genome to cut out or correct a disease-causing misspelling.
In late 2020, a team of researchers in the United States and Europe succeeded for the first time in using CRISPR to treat 10 people with sickle cell disease and transfusion-dependent beta thalassemia. As published in the New England Journal of Medicine, several months after this non-heritable treatment, all patients no longer needed frequent blood transfusions and are living pain free .
The researchers tested a one-time treatment in which they removed bone marrow from each patient, modified the blood-forming hematopoietic stem cells outside the body using CRISPR, and then reinfused them into the body. To prepare for receiving the corrected cells, patients were given toxic bone marrow ablation therapy, in order to make room for the corrected cells. The result: the modified stem cells were reprogrammed to switch back to making ample amounts of a healthy form of hemoglobin that their bodies produced in the womb. While the treatment is still risky, complex, and prohibitively expensive, this work is an impressive start for more breakthroughs to come using gene editing technologies. NIH, including its Somatic Cell Genome Editing program, continues to push the technology to accelerate progress and make gene editing cures for many disorders simpler and less toxic.
Scientists Speak Up for Diversity: The year 2020 will be remembered not only for COVID-19, but also for the very public and inescapable evidence of the persistence of racial discrimination in the United States. Triggered by the killing of George Floyd and other similar events, Americans were forced to come to grips with the fact that our society does not provide equal opportunity and justice for all. And that applies to the scientific community as well.
Science thrives in safe, diverse, and inclusive research environments. It suffers when racism and bigotry find a home to stifle diversity—and community for all—in the sciences. For the nation’s leading science institutions, there is a place and a calling to encourage diversity in the scientific workplace and provide the resources to let it flourish to everyone’s benefit.
For those of us at NIH, last year’s peaceful protests and hashtags were noticed and taken to heart. That’s one of the many reasons why we will continue to strengthen our commitment to building a culturally diverse, inclusive workplace. For example, we have established the NIH Equity Committee. It allows for the systematic tracking and evaluation of diversity and inclusion metrics for the intramural research program for each NIH institute and center. There is also the recently founded Distinguished Scholars Program, which aims to increase the diversity of tenure track investigators at NIH. Recently, NIH also announced that it will provide support to institutions to recruit diverse groups or “cohorts” of early-stage research faculty and prepare them to thrive as NIH-funded researchers.
AI Disentangles Protein Folding: Proteins, which are the workhorses of the cell, are made up of long, interconnected strings of amino acids that fold into a wide variety of 3D shapes. Understanding the precise shape of a protein facilitates efforts to figure out its function, its potential role in a disease, and even how to target it with therapies. To gain such understanding, researchers often try to predict a protein’s precise 3D chemical structure using basic principles of physics—including quantum mechanics. But while nature does this in real time zillions of times a day, computational approaches have not been able to do this—until now.
Of the roughly 170,000 proteins mapped so far, most have had their structures deciphered using powerful imaging techniques such as x-ray crystallography and cryo–electron microscopy (cryo-EM). But researchers estimate that there are at least 200 million proteins in nature, and, as amazing as these imaging techniques are, they are laborious, and it can take many months or years to solve 3D structure of a single protein. So, a breakthrough certainly was needed!
In 2020, researchers with the company Deep Mind, London, developed an artificial intelligence (AI) program that rapidly predicts most protein structures as accurately as x-ray crystallography and cryo-EM can map them . The AI program, called AlphaFold, predicts a protein’s structure by computationally modeling the amino acid interactions that govern its 3D shape.
Getting there wasn’t easy. While a complete de novo calculation of protein structure still seemed out of reach, investigators reasoned that they could kick start the modeling if known structures were provided as a training set to the AI program. Utilizing a computer network built around 128 machine learning processors, the AlphaFold system was created by first focusing on the 170,000 proteins with known structures in a reiterative process called deep learning. The process, which is inspired by the way neural networks in the human brain process information, enables computers to look for patterns in large collections of data. In this case, AlphaFold learned to predict the underlying physical structure of a protein within a matter of days. This breakthrough has the potential to accelerate the fields of structural biology and protein research, fueling progress throughout the sciences.
How Elite Controllers Keep HIV at Bay: The term “elite controller” might make some people think of video game whizzes. But here, it refers to the less than 1 percent of people living with human immunodeficiency virus (HIV) who’ve somehow stayed healthy for years without taking antiretroviral drugs. In 2020, a team of NIH-supported researchers figured out why this is so.
In a study of 64 elite controllers, published in the journal Nature, the team discovered a link between their good health and where the virus has inserted itself in their genomes . When a cell transcribes a gene where HIV has settled, this so-called “provirus,” can produce more virus to infect other cells. But if it settles in a part of a chromosome that rarely gets transcribed, sometimes called a gene desert, the provirus is stuck with no way to replicate. Although this discovery won’t cure HIV/AIDS, it points to a new direction for developing better treatment strategies.
In closing, 2020 presented more than its share of personal and social challenges. Among those challenges was a flood of misinformation about COVID-19 that confused and divided many communities and even families. That’s why the editors and writers at Science singled out “a second pandemic of misinformation” as its Breakdown of the Year. This divisiveness should concern all of us greatly, as COVID-19 cases continue to soar around the country and our healthcare gets stretched to the breaking point. I hope and pray that we will all find a way to come together, both in science and in society, as we move forward in 2021.
 CRISPR-Cas9 gene editing for sickle cell disease and β-thalassemia. Frangoul H et al. N Engl J Med. 2020 Dec 5.
 ‘The game has changed.’ AI triumphs at protein folding. Service RF. Science. 04 Dec 2020.
 Distinct viral reservoirs in individuals with spontaneous control of HIV-1. Jiang C et al. Nature. 2020 Sep;585(7824):261-267.
COVID-19 Research (NIH)
2020 Science Breakthrough of the Year (American Association for the Advancement of Science, Washington, D.C)