An international team of researchers has shown that it may be possible to improve the effectiveness of the seasonal flu vaccine by ‘pre-empting’ the evolution of the influenza virus.
In a recently published study, the team describe how an immunological phenomenon they refer to as a ‘back boost’ suggests that it may be better to pre-emptively vaccinate against likely future strains than to use a strain already circulating in the human population.
Influenza is a notoriously difficult virus against which to vaccinate. There are many different strains circulating – both in human and animal populations – and these strains themselves evolve rapidly. Yet manufacturers, who need to produce around 350 million doses ahead of the annual ‘flu season’, must know which strain to put in the vaccine months in advance – during which time the circulating viruses can evolve again.
Scientists at the World Health Organisation (WHO) meet each February to select which strain to use in vaccine development. Due to the complexity of human immune responses, this is decided largely through analysis of immune responses in ferrets to infer which strain best matches those currently circulating. However, vaccination campaigns for the following winter flu season usually start in October, by which time the virus may have evolved such that the effectiveness of the vaccine match is reduced.
“It’s a real challenge: the WHO selects a strain of flu using the best information available but is faced with the possibility that the virus will evolve before the flu season,” explains Dr. Judy Fonville, one of the primary authors on the paper and a member of WHO Collaborating Centre for Modelling, Evolution and Control of Emerging Infectious Diseases at the University of Cambridge. “Even if it does, though, it’s worth remembering that the flu vaccine still offers much greater protection than having no jab. We’re looking for ways to make an important vaccine even more effective.”
After gathering an extensive amount of immunological data, the team modelled the antibody response to vaccination and infection using a newly developed computer-based method to create an individual’s ‘antibody landscape’. This landscape visualizes an individual’s distinct immune profile like a three dimensional landscape with mountains in areas of immune memory and valleys in unprotected areas. The technique enables a much greater understanding of how our immune system responds to pathogens such as flu that evolve and re-infect us.
A key finding from the work is that upon infection, a response is seen not just to the infecting influenza strain, but to all the strains that an individual has encountered in the past. It is this broad recall of immunity, that they term the ‘back-boost’, that is the basis for the proposed vaccine improvement.
“Crucially, when the vaccine strain is updated pre-emptively, we see that it still stimulates better protection against future viruses yet this comes at no cost to the protection generated against currently circulating ones,” said Dr. Sam Wilks, one of the primary authors. “Rather than trying to play ‘catch-up’, it’s better to anticipate and prepare for the likely next step of influenza evolution – and there is no penalty for doing it too soon.”
The team is now combining this research with their other work on predicting the way in which the virus will evolve, and plan to combine these two major pieces of work in prospective clinical trials.
The international collaboration included researchers from: the Erasmus Medical Center, the Netherlands; the Oxford University Clinical Research Unit & Wellcome Trust Major Overseas Programme and the National Institute of Hygiene and Epidemiology, Vietnam; and the WHO Collaborating Centre for Reference and Research on Influenza at the Victorian Infectious Diseases Reference Laboratory in Melbourne. Its principal funders were the Wellcome Trust and the US National Institutes of Health Centers of Excellence for Influenza Research and Surveillance (CEIRS).
Read the study at Science: Antibody landscapes after influenza virus infection or vaccination.