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In silico analysis of amino acid variation in human respiratory syncytial virus: insights into immunodiagnostics

BACKGROUND The highly contagious nature of human respiratory syncytial virus (HRSV) and the gravity of its infection in newborns and vulnerable adults pose a serious public health problem. Thus, a rapid and sensitive diagnostic test for viral detection that can be implemented upon the first appearan...

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Bibliographic Details
Published in:Memórias do Instituto Oswaldo Cruz 2019-05, Vol.112 (10)
Main Authors: Souza, Claudemir, Zanchin, Nilson IT, Krieger, Marco A, Ludwig, Adriana
Format: Article
Language:English
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Summary:BACKGROUND The highly contagious nature of human respiratory syncytial virus (HRSV) and the gravity of its infection in newborns and vulnerable adults pose a serious public health problem. Thus, a rapid and sensitive diagnostic test for viral detection that can be implemented upon the first appearance of symptoms is needed. The genetic variation of the virus must be considered for immunodiagnostic purposes. OBJECTIVES To analyse HRSV genetic variation and discuss the possible consequences for capture immunoassay development. METHODS We performed a wide analysis of N, F and G protein variation based on the HRSV sequences currently available in the GenBank database. We also evaluated their similarity with homologous proteins from other viruses. FINDINGS The mean amino acid divergences for the N, F, and G proteins between HRSV-A and HRSV-B were determined to be approximately 4%, 10% and 47%, respectively. Due to their high conservation, assays based on the full-length N and F proteins may not distinguish HRSV from human metapneumovirus and other Mononegavirales viruses, and the full-length G protein would most likely produce false negative results due to its high divergence. MAIN CONCLUSIONS We have identified specific regions in each of these three proteins that have higher potential to produce specific results, and their combined utilisation should be considered for immunoassay development.
ISSN:1678-8060