For decades, vaccine manufacturers have used chicken eggs to grow the flu virus strains included in the seasonal flu shot. But because these human strains frequently mutate to adapt to their new environment in eggs, the resulting vaccine is often an imperfect match to the actual virus that it is supposed to protect against.
Duke researchers have devised a way to keep the human influenza virus from mutating during production, generating a perfect match to the target vaccine in a shorter time frame. Their findings appear in the journal mBio.
“We have solved a fundamental problem that scientists had accepted would be part of vaccine production — that the virus is always going to mutate if it is grown in eggs,” said senior study author Nicholas S. Heaton, Ph.D., assistant professor of molecular genetics and microbiology at Duke University School of Medicine. “This research could lead to a significantly cheaper and more efficacious vaccine.”
The influenza vaccine has been notoriously ineffective. During the 2015-2016 flu season, the vaccine reduced the risk of catching a serious bout of the flu by just 42 percent, and that was considered a good year. Most of the time, the vaccine’s lackluster performance is blamed on poor strain selection. The World Health Organization tracks which virus strains are circulating and decides which ones should go into the vaccine each year. Because they have to pick months in advance, and the virus is constantly evolving, they sometimes miss the mark.
Yet sometimes they pick the right strain, and still people who get the vaccine aren’t adequately protected. A few years ago, scientists figured out why: the receptor that the virus uses to get into cells is shaped differently in a human nose than it is in a chicken egg. The human virus has to alter the key it carries with it — a protein called hemagglutinin (HA) — so that it can operate in its new locale. Because hemagglutinin also happens to be the part of the flu vaccine that induces an immune response in people (it’s the H in a virus name like H5N1), each mutation renders the vaccine less effective.
Heaton and his team attempted to engineer a virus that would both grow happily in chicken eggs and produce the HA protein required to protect people. They expressed two versions of hemagglutinin — one adapted to eggs and one adapted to humans — on one virus particle.
“We reasoned that the egg-adapted HA would do all the heavy lifting,” Heaton said. “It could do the virus entry work and just bring the other (human) one along for the ride. In effect, that would alleviate the strong selective pressure on the human HA to mutate.”
Heaton and his colleagues constructed this “bivalent,” or two-strain, virus and grew it in chicken cells. They showed that it packaged twice as much protein as a “monovalent” virus that carries just one HA. When they vaccinated mice with either the bivalent or monovalent vaccine (both with genetically identical human HA proteins), they found equal immune responses across the board.
Next, the researchers wanted to see if their technology could tackle some of the worst-growing vaccine strains in history. In 2002, the Fujian strain grew so poorly in production that, although it was the major circulating strain that the time, it could not be included in the vaccine. As a result, nobody was vaccinated against Fujian that year, and vaccine efficacy was very poor.
Heaton and his team plugged the HA from that infamous Fujian strain into their egg-adapted system and rescued the virus right off the bat. When the two HA proteins were put together, it grew five orders of magnitude more virus.
After the researchers had grown the virus in chicken eggs for a while, they harvested the virus and sequenced the human HA protein. They did not find a single mutation.
“Because viruses typically mutate during vaccine production, manufacturers have to screen for mutations, and decide which ones can be tolerated and which ones can’t,” Heaton said. “If we can eliminate mutations, we can cut back dramatically on production time.”
Though the technology is still in its infancy, the researchers have successfully used it to make bivalent viruses with a half dozen different HA molecules. Currently, they are making their own versions of the vaccines that are under production for the 2017 and 2018 flu seasons, and are planning to test how they differ in terms of growth, genetic stability, and actual protection.
“There’s a laundry list of problems with the flu vaccine, but this is something that we can solve now, not 10 or 15 years down the line,” said Heaton. “We’re not proposing to change any kind of vaccine production or vaccine methods. We’re just proposing to start production with a different virus. It could be a relatively simple fix.”
Influenza virus vaccine production is currently limited by the ability to grow circulating human strains in chicken eggs or in cell culture. To facilitate cost-effective growth, vaccine strains are serially passaged under production conditions, which frequently results in mutations of the major antigenic protein, the viral hemagglutinin (HA). Human vaccination with an antigenically drifted strain is known to contribute to poor vaccine efficacy. To address this problem, we developed a replication-competent influenza A virus (IAV) with an artificial genomic organization that allowed the incorporation of two independent and functional HA proteins with different growth requirements onto the same virion. Vaccination with these viruses induced protective immunity against both strains from which the HA proteins were derived, and the magnitude of the response was as high as or higher than vaccination with either of the monovalent parental strains alone. Dual-HA viruses also displayed remarkable antigenic stability; even when using an HA protein known to be highly unstable during growth in eggs, we observed high-titer virus amplification without a single adaptive mutation. Thus, the viral genomic design described in this work can be used to grow influenza virus vaccines to high titers without introducing antigenic mutations.
IMPORTANCE Influenza A virus (IAV) is a major public health threat, and vaccination is currently the best available strategy to prevent infection. While there have been many advances in influenza vaccine production, the fact that we cannot predict the growth characteristics of a given strain under vaccine production conditions a priori introduces fundamental uncertainty into the process. Clinically relevant IAV strains frequently grow poorly under vaccine conditions, and this poor growth can result in the delay of vaccine production or the exchange of the recommended strain for one with favorable growth properties. Even in strains that grow to high titers, adaptive mutations in the antigenic protein hemagglutinin (HA) that make it antigenically dissimilar to the circulating strain are common. The genomic restructuring of the influenza virus described in this work offers a solution to the problem of uncertain or unstable growth of IAV during vaccine production
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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