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Human infection with the new subtype influenza A virus is associated with a high mortality and morbidity and causes worldwide
pandemic. There is necessity to improve a universal vaccine against influenza pandemic and produce protective immunity by
inducing strain-specific neutralizing antibodies to the viral hemagglutinin. For this purpose we have designed a novel multiple linear
epitopes (B-cell, CTL and Th) immunogenic based on the hemagglutinin proteins backbone containing human T cell epitopes for
H1 & H3 subtype. In this study, we use the epitope-based vaccine design by using immunoinformatics approach in order to predict
the binding of B-cell and T-cell epitopes (class I and class II human leukocyte antigen [HLA]). BCPREDS was used to predict the
B-cell epitope. Propred, Propred I, netMHCpan and netMHCIIpan, were used to predict the T-cell epitope. All epitopes were checked
by epitope mapping, NCBI ORF Finder, ExPASy, Swiss-Pdb Viewer and Protean. This sequence was cloned into the prokaryotic
expression vector peT41a. BALB/c mice were immunized with different dosages of recombinant protein and the immune responses
were determined in the form of protective response against influenza virus, antibodies titers (IgG1 and IgG2a), spleen cell lymphocyte
proliferation and the levels of interferon-�³ and interleukin-4 cytokines. We observed an increase in the number of influenza virusspecific
IFN�³-secreting splenocytes, composed of populations marked by CD4+ and CD8+ T cells producing IFN�³ or TNF�±. Upon
challenge with influenza virus, the vaccinated mice exhibited decreased viral load in the lungs and a delay in mortality. These findings
suggest that human multi-epitope recombinant influenza virus proteins are a valid approach for a general T-cell vaccine to protect
against influenza virus infection.