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Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies

Pandemics caused by influenza A virus (IAV) are responsible for the deaths of millions of humans around the world. One of these pandemics occurred in Mexico in 2009. Despite the impact of IAV on human health, there is no effective vaccine. Gene mutations and translocation of genome segments of diffe...

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Autores principales: Ramírez-Salinas, G. Lizbeth, García-Machorro, Jazmín, Rojas-Hernández, Saúl, Campos-Rodríguez, Rafael, de Oca, Arturo Contis-Montes, Gomez, Miguel Medina, Luciano, Rocío, Zimic, Mirko, Correa-Basurto, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222995/
https://www.ncbi.nlm.nih.gov/pubmed/32060794
http://dx.doi.org/10.1007/s00705-020-04537-2
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author Ramírez-Salinas, G. Lizbeth
García-Machorro, Jazmín
Rojas-Hernández, Saúl
Campos-Rodríguez, Rafael
de Oca, Arturo Contis-Montes
Gomez, Miguel Medina
Luciano, Rocío
Zimic, Mirko
Correa-Basurto, José
author_facet Ramírez-Salinas, G. Lizbeth
García-Machorro, Jazmín
Rojas-Hernández, Saúl
Campos-Rodríguez, Rafael
de Oca, Arturo Contis-Montes
Gomez, Miguel Medina
Luciano, Rocío
Zimic, Mirko
Correa-Basurto, José
author_sort Ramírez-Salinas, G. Lizbeth
collection PubMed
description Pandemics caused by influenza A virus (IAV) are responsible for the deaths of millions of humans around the world. One of these pandemics occurred in Mexico in 2009. Despite the impact of IAV on human health, there is no effective vaccine. Gene mutations and translocation of genome segments of different IAV subtypes infecting a single host cell make the development of a universal vaccine difficult. The design of immunogenic peptides using bioinformatics tools could be an interesting strategy to increase the success of vaccines. In this work, we used the predicted amino acid sequences of the neuraminidase (NA) and hemagglutinin (HA) proteins of different IAV subtypes to perform multiple alignments, epitope predictions, molecular dynamics simulations, and experimental validation. Peptide selection was based on the following criteria: promiscuity, protein surface exposure, and the degree of conservation among different medically relevant IAV strains. These peptides were tested using immunological assays to test their ability to induce production of antibodies against IAV. We immunized rabbits and mice and measured the levels of IgG and IgA antibodies in serum samples and nasal washes. Rabbit antibodies against the peptides P11 and P14 (both of which are hybrids of NA and HA) recognized HA from both group 1 (H1, H2, and H5) and group 2 (H3 and H7) IAV and also recognized the purified NA protein from the viral stock (influenza A Puerto Rico/916/34). IgG antibodies from rabbits immunized with P11 and P14 were capable of recognizing viral particles and inhibited virus hemagglutination. Additionally, intranasal immunization of mice with P11 and P14 induced specific IgG and IgA antibodies in serum and nasal mucosa, respectively. Interestingly, the IgG antibodies were found to have neutralizing capability. In conclusion, the peptides designed through in silico studies were validated in experimental assays. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00705-020-04537-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-72229952020-05-15 Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies Ramírez-Salinas, G. Lizbeth García-Machorro, Jazmín Rojas-Hernández, Saúl Campos-Rodríguez, Rafael de Oca, Arturo Contis-Montes Gomez, Miguel Medina Luciano, Rocío Zimic, Mirko Correa-Basurto, José Arch Virol Original Article Pandemics caused by influenza A virus (IAV) are responsible for the deaths of millions of humans around the world. One of these pandemics occurred in Mexico in 2009. Despite the impact of IAV on human health, there is no effective vaccine. Gene mutations and translocation of genome segments of different IAV subtypes infecting a single host cell make the development of a universal vaccine difficult. The design of immunogenic peptides using bioinformatics tools could be an interesting strategy to increase the success of vaccines. In this work, we used the predicted amino acid sequences of the neuraminidase (NA) and hemagglutinin (HA) proteins of different IAV subtypes to perform multiple alignments, epitope predictions, molecular dynamics simulations, and experimental validation. Peptide selection was based on the following criteria: promiscuity, protein surface exposure, and the degree of conservation among different medically relevant IAV strains. These peptides were tested using immunological assays to test their ability to induce production of antibodies against IAV. We immunized rabbits and mice and measured the levels of IgG and IgA antibodies in serum samples and nasal washes. Rabbit antibodies against the peptides P11 and P14 (both of which are hybrids of NA and HA) recognized HA from both group 1 (H1, H2, and H5) and group 2 (H3 and H7) IAV and also recognized the purified NA protein from the viral stock (influenza A Puerto Rico/916/34). IgG antibodies from rabbits immunized with P11 and P14 were capable of recognizing viral particles and inhibited virus hemagglutination. Additionally, intranasal immunization of mice with P11 and P14 induced specific IgG and IgA antibodies in serum and nasal mucosa, respectively. Interestingly, the IgG antibodies were found to have neutralizing capability. In conclusion, the peptides designed through in silico studies were validated in experimental assays. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00705-020-04537-2) contains supplementary material, which is available to authorized users. Springer Vienna 2020-02-14 2020 /pmc/articles/PMC7222995/ /pubmed/32060794 http://dx.doi.org/10.1007/s00705-020-04537-2 Text en © Springer-Verlag GmbH Austria, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Ramírez-Salinas, G. Lizbeth
García-Machorro, Jazmín
Rojas-Hernández, Saúl
Campos-Rodríguez, Rafael
de Oca, Arturo Contis-Montes
Gomez, Miguel Medina
Luciano, Rocío
Zimic, Mirko
Correa-Basurto, José
Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies
title Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies
title_full Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies
title_fullStr Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies
title_full_unstemmed Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies
title_short Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies
title_sort bioinformatics design and experimental validation of influenza a virus multi-epitopes that induce neutralizing antibodies
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222995/
https://www.ncbi.nlm.nih.gov/pubmed/32060794
http://dx.doi.org/10.1007/s00705-020-04537-2
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