Coupling sensitive in vitro and in silico techniques to assess cross-reactive CD4+ T cells against the swine-origin H1N1 influenza virus
| Autor: | Leonard Moise, Vaughan Wittman, William J. Martin, Elizabeth McClaine, William L. Warren, Brian C. Schanen, Anne S. De Groot, Matt Ardito, Donald Drake |
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| Rok vydání: | 2011 |
| Předmět: |
Adult
CD4-Positive T-Lymphocytes Cellular immunity Cross Protection Epitopes T-Lymphocyte Cross Reactions Biology medicine.disease_cause Article Epitope Virus Influenza A Virus H1N1 Subtype Immunity Influenza A virus medicine Animals Humans Cells Cultured General Veterinary General Immunology and Microbiology Public Health Environmental and Occupational Health Computational Biology Middle Aged Virology Vaccination Infectious Diseases Novel virus Humoral immunity Immunology Molecular Medicine |
| Zdroj: | Vaccine. 29:3299-3309 |
| ISSN: | 0264-410X |
| DOI: | 10.1016/j.vaccine.2011.02.019 |
| Popis: | The outbreak of the novel swine-origin H1N1 influenza in the spring of 2009 took epidemiologists, immunologists, and vaccinologists by surprise and galvanized a massive worldwide effort to produce millions of vaccine doses to protect against this single virus strain. Of particular concern was the apparent lack of pre-existing antibody capable of eliciting cross-protective immunity against this novel virus, which fueled fears this strain would trigger a particularly far-reaching and lethal pandemic. Given that disease caused by the swine-origin virus was far less severe than expected, we hypothesized cellular immunity to cross-conserved T cell epitopes might have played a significant role in protecting against the pandemic H1N1 in the absence of cross-reactive humoral immunity. In a published study, we used an immunoinformatics approach to predict a number of CD4(+) T cell epitopes are conserved between the 2008-2009 seasonal H1N1 vaccine strain and pandemic H1N1 (A/California/04/2009) hemagglutinin proteins. Here, we provide results from biological studies using PBMCs from human donors not exposed to the pandemic virus to demonstrate that pre-existing CD4(+) T cells can elicit cross-reactive effector responses against the pandemic H1N1 virus. As well, we show our computational tools were 80-90% accurate in predicting CD4(+) T cell epitopes and their HLA-DRB1-dependent response profiles in donors that were chosen at random for HLA haplotype. Combined, these results confirm the power of coupling immunoinformatics to define broadly reactive CD4(+) T cell epitopes with highly sensitive in vitro biological assays to verify these in silico predictions as a means to understand human cellular immunity, including cross-protective responses, and to define CD4(+) T cell epitopes for potential vaccination efforts against future influenza viruses and other pathogens. |
| Databáze: | OpenAIRE |
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