Insights can help inform design of broadly protective COVID-19 vaccine boosters

Harvard Medical School

As SARS-CoV-2, the virus that causes COVID-19, continues to evolve, immunologists and infectious disease experts are eager to know whether new variants have grown resistant to the human antibodies that recognized and fought off the initial versions of the virus. Vaccines against COVID-19, developed based on the chemistry and genetic code of this initial virus, may confer less protection if the antibodies they help people produce do not fend off new viral strains.

  • By SONIA EPSTEIN | Brigham and Women's Communications

Now, in a study published July 22 in Cell, a team led by Harvard Medical School researchers at Brigham and Women's Hospital offers critical clues to that question.

The researchers created an atlas that charts how 152 different antibodies attack a major piece of the SARS-CoV-2 machinery, the spike protein as it has evolved since 2020. The research identifies antibodies that are able to neutralize the newer strains, while identifying regions of the spike protein that have become more resistant to attack.

The work can help illuminate strategies for broadly protective COVID-19 booster vaccines.

"Emerging data show that vaccines still confer some protection from new SARS-CoV-2 variants, and our study shows how that works from an antibody standpoint," said corresponding author Duane Wesemann, HMS associate professor of medicine and member of the Division of Allergy and Clinical Immunology and Division of Genetics at Brigham and Women's. "These data can help us think about what the best kind of booster vaccine might be by studying how the repertoire of human antibodies recognizes the spike protein."

The researchers examined the antibody-producing memory B cells of 19 patients who were infected with SARS-CoV-2 in March 2020, before the emergence of new variants. They studied how these anitbodies, as well as other antibodies that have been characterized by researchers, bind to spike protein models of the alpha, beta, and gamma variants, first identified in the United Kingdom, South Africa, and Brazil, respectively. An analysis of the delta variant is currently underway.

Overall, the research confirmed that the hundreds of antibodies they studied largely bind to seven major footprints on the spike protein. While many of these antibodies compete to bind to the same regions of the early version of the SARS-CoV-2 spike protein, when it comes to newer strains, some of these antibodies lose their potency while others emerge as broadly responsive neutralizers.

In particular, antibodies binding to two of these spike protein regions, dubbed RBD-2 and NTD-1, were the most potent neutralizers of initial forms of the spike protein. The beta spike variant proved to exhibit the greatest ability to evade existing antibody arsenals, escaping many RBD-2- and NTD-1-binding antibodies. Some antibodies binding another region, called S2-1, could recognize spike proteins from more distantly related viruses such as MERS-CoV, SARS-CoV, and common cold coronaviruses.

"Making different antibodies that compete for one region of the virus allows the immune system to be more flexible," Wesemann said. "Otherwise-redundant recognition by antibodies targeting the same footprint of one version of the virus confers recognition depth of the same footprint on variants, and some antibodies maintain high neutralization potency against all the variants. Now that we can identify the antibodies that are more broadly reactive to all of the variants, we can think about how to elicit them more strongly in a vaccine."

This study was supported by NIH grants T32 AI007245, T32 GM007753, AI146779, AI007512, T32 AI007306, AI121394, AI139538, and AI137940, by the Massachusetts Consortium on Pathogen Readiness and Fast Funding for Covid Science.

Adapted from a Brigham and Women's news release.

/Public Release. This material from the originating organization/author(s) might be of the point-in-time nature, and edited for clarity, style and length. Mirage.News does not take institutional positions or sides, and all views, positions, and conclusions expressed herein are solely those of the author(s).View in full here.