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

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About: Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies
Creator	Campos-Rodríguez, Rafael Contis-Montes De Oca, Arturo Correa-Basurto, José García-Machorro, Jazmín Lizbeth Ramírez-Salinas, G Luciano, Rocío Medina Gomez, Miguel Rojas-Hernández, Saúl Zimic, Mirko
Source	PMC
abstract	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.
has issue date	2020-02-14(xsd:dateTime)
bibo:doi	10.1007/s00705-020-04537-2
bibo:pmid	32060794
has license	no-cc
sha1sum (hex)	f13a7b0b45330b36e40b686d6789935e9481bd2a
schema:url	https://doi.org/10.1007/s00705-020-04537-2
resource representing a document's title	Bioinformatics design and experimental validation of influenza A virus multi-epitopes that induce neutralizing antibodies
has PubMed Central identifier	PMC7222995
has PubMed identifier	32060794
schema:publication	Arch Virol
resource representing a document's body	covid:f13a7b0b45330b36e40b686d6789935e9481bd2a#body_text
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