Development and testing for assessing T-cell immune response in influenza vaccination

Introduction. The assessment of influenza vaccine-induced immunity primarily focuses on the humoral link, whereas the contribution of cellular immunity, which confers cross-protection and long-term memory, is frequently neglected due to a lack of standardized commercial assays. Aim. Optimization and testing of methods for evaluating antigen-specific T-cell responses to influenza A(H1N1), A(H3N2), and B viruses using ELISPOT and ELISA. Materials and methods. The study was performed in two phases: in the first phase (n=20 donors) the optimal antigen concentration was identified (range 200—1 µg/mL). In the second phase, immune response kinetics were analyzed in 100 volunteers before and after vaccination (on days 7 and 28) via ELISPOT (IFNγ-producing cell count) and ELISA (IFNγ and IL-2 quantification). Non-parametric tests were used for statistical analysis. Results. An antigen concentration of 10 µg/mL was established as optimal for all tested influenza strains, yielding a specific signal without background activation. Analysis of volunteer samples showed a statistically significant rise in all measured cellular immunity parameters by day 28 post-vaccination compared to the baseline (p<0.001). Peak cytokine secretion (IL-2 and IFNγ) occurred on day 7, with a minor decline by day 28. Conclusions. We have developed and validated robust methods for assessing influenza-specific T-cell immunity, allowing to track post-vaccination immune dynamics. The results confirm the induction of a specific cellular response and highlight the need for its monitoring in comprehensive vaccine immunogenicity evaluations.

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Publication Details

Journal
Laboratory Service
Published
2026-06-29
DOI
https://doi.org/10.17116/labs20261502120
Primary Topic
Influenza Virus Research Studies
Type
article
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article

Development and testing for assessing T-cell immune response in influenza vaccination

E. G. Golovnya, E. A. Pogodina, E.V. Sorokina, A. V. Lobov et al.
Laboratory Service
Influenza Virus Research Studies
article

Development and testing for assessing T-cell immune response in influenza vaccination

E. G. Golovnya, E. A. Pogodina, E.V. Sorokina, A. V. Lobov, Patrīcija Ivanova, И. Ж. Шубина
article en

Abstract

Introduction. The assessment of influenza vaccine-induced immunity primarily focuses on the humoral link, whereas the contribution of cellular immunity, which confers cross-protection and long-term memory, is frequently neglected due to a lack of standardized commercial assays. Aim. Optimization and testing of methods for evaluating antigen-specific T-cell responses to influenza A(H1N1), A(H3N2), and B viruses using ELISPOT and ELISA. Materials and methods. The study was performed in two phases: in the first phase (n=20 donors) the optimal antigen concentration was identified (range 200—1 µg/mL). In the second phase, immune response kinetics were analyzed in 100 volunteers before and after vaccination (on days 7 and 28) via ELISPOT (IFNγ-producing cell count) and ELISA (IFNγ and IL-2 quantification). Non-parametric tests were used for statistical analysis. Results. An antigen concentration of 10 µg/mL was established as optimal for all tested influenza strains, yielding a specific signal without background activation. Analysis of volunteer samples showed a statistically significant rise in all measured cellular immunity parameters by day 28 post-vaccination compared to the baseline (p<0.001). Peak cytokine secretion (IL-2 and IFNγ) occurred on day 7, with a minor decline by day 28. Conclusions. We have developed and validated robust methods for assessing influenza-specific T-cell immunity, allowing to track post-vaccination immune dynamics. The results confirm the induction of a specific cellular response and highlight the need for its monitoring in comprehensive vaccine immunogenicity evaluations.

Laboratory ServiceVol. 15(2)
Align Technology (United States) (US), Ministry of Health (ES), Research Institute of Vaccines and Sera. Mechnikov of the Russian Academy of Medical Sciences (RU)
Good health and well-being
Openalex Percentile: Top 7%
Influenza Virus Research Studies
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