Universal vaccines that protect against multiple strains of influenza virus at once could offer key population-level benefits over conventional seasonal vaccines, according to a new study published in PLOS Computational Biology.
Flu-causing viruses are continually evolving. To keep up, scientists must update vaccines regularly so that people can be protected against whichever seasonal strains pose the greatest risk. However, researchers are working to develop universal vaccines that could protect against multiple flu strains without needing to be updated.
Research on universal flu vaccines has mostly focused on their potential effects in individual patients. To better understand their effects at the population level, Rahul Subramanian of The University of Chicago and colleagues mathematically modeled the interactions between vaccination, flu transmission, and flu virus evolution.
The model revealed that deployment of universal vaccines across large populations could reduce flu transmission more efficiently than conventional vaccines. It could also slow the evolution of new strains of influenza virus and bolster herd immunity, protecting against the emergence of especially dangerous pandemic strains.
"New influenza vaccines could, for the first time, maintain their effectiveness in the face of viral evolution," Subramanian says. "In doing so they could transform the way we manage influenza in future."
However, conventional vaccines that are well-matched against circulating flu strains are highly effective and are likely to continue to play an important role. Subramanian says that an optimal approach may be to strategically use universal vaccines alongside conventional vaccines to protect at-risk groups while controlling transmission in the whole population.
In your coverage please use this URL to provide access to the freely available article in PLOS Computational Biology: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005204
Citation: Subramanian R, Graham AL, Grenfell BT, Arinaminpathy N (2017) Universal or Specific? A Modeling-Based Comparison of Broad-Spectrum Influenza Vaccines against Conventional, Strain-Matched Vaccines. PLoS Comput Biol 13(1): e1005204. doi:10.1371/journal.pcbi.1005204
Funding: This work was supported by: Health Grand Challenges Program, Center for Health and Wellbeing, Princeton University (RS); and Bob and Cathy Solomon Undergraduate Research Fund, Princeton Environmental Institute, Princeton University (RS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing Interests: The authors have declared that no competing interests exist.
PLoS Computational Biology