Completed Infection & Immunity Lungs & Breathing

The life course of human immune responses to influenza infection and vaccination

In plain English

AI plain-English summary

Every time someone gets the flu or a flu jab, their immune system remembers—but that memory reshapes how they respond to the next strain, creating a lifelong, personalised history of protection that scientists are only beginning to map. This matters because current flu vaccines are designed as if each season is a fresh start. In reality, a person’s immune response to a new vaccine or infection depends heavily on which strains they encountered decades earlier. This “immune imprinting” means that the same vaccine can work differently in a child, a middle-aged adult, and an older person. The research fills a gap: we lack a precise, quantitative model of how antibody levels rise, fall, and shift over a human lifetime under repeated exposure. If successful, the work will produce a validated mathematical model that predicts how different age groups respond to repeat vaccination schedules. That could allow public health agencies to tailor flu vaccine timing and strain selection by age, improving protection across the population. The project is fundamentally about understanding a basic biological process—the lifelong dance between a virus and a host’s immune system—but that understanding has a direct, practical payoff for how we design vaccination programmes.

View original technical description
Humans experience repeated challenges by influenza A antigens over their lifetime via natural exposure and vaccinations. The result of each challenge is dependent on the history of previous challenges up to that point. With this award, I will combine an existing highly effective serological cohort (FluScape) with state-of-the-art mathematical methods to precisely describe this lifelong interaction of humans with an evolving virus. I will conduct an additional two rounds of follow-up of the FluScape cohort to ensure that our sample collection spans multiple time points for the same individuals across two distinct antigenic clusters of H3N2. I will use conventional serological assays to measure the antibody strength in these samples against a panel of 10 historical strains of H3N2. These data will allow me to extend an existing model of antibody kinetics and to accurately describe the processes of infection and vaccination from the view point of the long-lived human host. This well-validated model will allow me and others to answer a number of key research questions related to optimal repeat vaccination schedules for different age groups. I will refine my use of traditional serological assays by also measuring the relative frequency key antigen-specific B-cells in a subset of individuals.

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Researchers

Steve Riley (EPMC Awardee)

Related Research

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Original classification

Investigator Award in Science

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