ILANIT 2020

Serum IgA immune-history profiles are novel correlates of risk and protection for influenza infection

Tomer Hertz 1,2,3 Ayelet Shagal 1,2 Lilach Friedman 1,2 Joshua Petrie 4 Emily Martin 4 Youyi Fong 3 Peter Gilbert 3 Arnold Monto 4
1Shraga Segal Department of Microbioloogy, Immunology and Genetics, Ben-Gurion University of the Negev, Israel
2The National Center for Biotechnololgy in the Negev, Ben-Gurion University of the Negev, Israel
3Vaccine and Infectious Disease Division, Fred Hutch Cancer Research Center, USA
4Department of Epidemiology, University of Michigan School of Public Health, USA

Seasonal influenza vaccination significantly reduces the risk of infection with efficacy varying by year. A key factor in determining an individual’s response to vaccination is ‘immune history’ – the memory antibody repertoire against previously encountered pathogens and vaccines.
To study the role of influenza immune-history, we developed a novel influenza antigen microarray spotted with whole-inactivated influenza viruses, recombinant surface glcyoproteins and their respective overlapping peptides. Viruses from influenza A H3N2, H1N1 and B subtypes were included. We used serum samples of a case-control set of 162 subjects from FluVacs – a randomized double-blind placebo-controlled influenza vaccine efficacy trial comparing the inactivated (IIV) and live-attenuated (LAIV) vaccines in 2000 adults aged 18-65, conducted in 2007-2008. Samples were collected at 3 timepoints: baseline (d0), post-vaccination (d21) and end-of-season (d90).
Antibody profiles were measured for all subjects. We observed a high heterogeneity of responses to influenza strains at baseline and divided them to high-, medium- and low-responders. We found that IgA low-responders in both the placebo and vaccine arms had infection rates >80%. In contrast, IgA high responders had infection rates of 22% in placebos and 0% in IIV vaccinated subjects. Stratifying individuals based on their post-vaccination responses identified additional vaccinated subjects that were at high or low risk to acquire infection. Our data suggests that serum IgA immune-history profiles are novel correlates of risk and protection for influenza infection, and that individuals can be stratified at baseline to identify a sub-population of low-responders who are at high risk of acquiring influenza infection.









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