Literature DB >> 20521635

Use of antigenic cartography in vaccine seed strain selection.

Ron A M Fouchier1, Derek J Smith.   

Abstract

Human influenza A viruses are classic examples of antigenically variable pathogens that have a seemingly endless capacity to evade the host's immune response. The viral hemagglutinin (HA) and neuraminidase (NA) proteins are the main targets of our antibody response to combat infections. HA and NA continuously change to escape from humoral immunity, a process known as antigenic drift. As a result of antigenic drift, the human influenza vaccine is updated frequently. The World Health Organization (WHO) coordinates a global influenza surveillance network that, by the hemagglutination inhibition (HI) assay, routinely characterizes the antigenic properties of circulating strains in order to select new seed viruses for such vaccine updates. To facilitate a quantitative interpretation and easy visualization of HI data, a new computational technique called "antigenic cartography" was developed. Since its development, antigenic cartography has been applied routinely to assist the WHO with influenza surveillance activities. Until recently, antigenic variation was not considered a serious issue with influenza vaccines for poultry. However, because of the diversification of the Asian H5N1 lineage since 1996 into multiple genetic clades and subclades, and because of the long-term use of poultry vaccines against H5 in some parts of the world, this issue needs to be re-addressed. The antigenic properties of panels of avian H5N1 viruses were characterized by HI assay, using mammalian or avian antisera, and analyzed using antigenic cartography methods. These analyses revealed antigenic differences between circulating H5N1 viruses and the H5 viruses used in poultry vaccines. Considerable antigenic variation was also observed within and between H5N1 clades. These observations have important implications for the efficacy and long-term use of poultry vaccines.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20521635     DOI: 10.1637/8740-032509-ResNote.1

Source DB:  PubMed          Journal:  Avian Dis        ISSN: 0005-2086            Impact factor:   1.577


  20 in total

1.  Role of vaccination-induced immunity and antigenic distance in the transmission dynamics of highly pathogenic avian influenza H5N1.

Authors:  Ioannis Sitaras; Xanthoula Rousou; Donata Kalthoff; Martin Beer; Ben Peeters; Mart C M de Jong
Journal:  J R Soc Interface       Date:  2016-01       Impact factor: 4.118

2.  Computational prediction of vaccine strains for human influenza A (H3N2) viruses.

Authors:  L Steinbrück; T R Klingen; A C McHardy
Journal:  J Virol       Date:  2014-08-13       Impact factor: 5.103

3.  Genetic and antigenic analysis of H5N1 viruses for selection of HA-donor virus for vaccine strains.

Authors:  S Bhatia; A Kunal; R Khandia; A Siddiqui; A K Pateriya; R Sood
Journal:  Indian J Virol       Date:  2013-08-08

4.  Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in Humans.

Authors:  Alexandra J Lee; Suman R Das; Wei Wang; Theresa Fitzgerald; Brett E Pickett; Brian D Aevermann; David J Topham; Ann R Falsey; Richard H Scheuermann
Journal:  J Virol       Date:  2015-03-04       Impact factor: 5.103

5.  High dimensional random walks can appear low dimensional: Application to influenza H3N2 evolution.

Authors:  James Moore; Hasan Ahmed; Rustom Antia
Journal:  J Theor Biol       Date:  2018-03-21       Impact factor: 2.691

Review 6.  A review of influenza haemagglutinin receptor binding as it relates to pandemic properties.

Authors:  Sam Wilks; Miranda de Graaf; Derek J Smith; David F Burke
Journal:  Vaccine       Date:  2012-06-19       Impact factor: 3.641

7.  Antibody titer has positive predictive value for vaccine protection against challenge with natural antigenic-drift variants of H5N1 high-pathogenicity avian influenza viruses from Indonesia.

Authors:  David E Swayne; David L Suarez; Erica Spackman; Samadhan Jadhao; Gwenaelle Dauphin; Mia Kim-Torchetti; James McGrane; John Weaver; Peter Daniels; Frank Wong; Paul Selleck; Agus Wiyono; Risa Indriani; Yuni Yupiana; Elly Sawitri Siregar; Teguh Prajitno; Derek Smith; Ron Fouchier
Journal:  J Virol       Date:  2015-01-21       Impact factor: 5.103

Review 8.  Deviations in influenza seasonality: odd coincidence or obscure consequence?

Authors:  M Moorthy; D Castronovo; A Abraham; S Bhattacharyya; S Gradus; J Gorski; Y N Naumov; N H Fefferman; E N Naumova
Journal:  Clin Microbiol Infect       Date:  2012-10       Impact factor: 8.067

9.  Bayesian nonparametric clustering in phylogenetics: modeling antigenic evolution in influenza.

Authors:  Gabriela B Cybis; Janet S Sinsheimer; Trevor Bedford; Andrew Rambaut; Philippe Lemey; Marc A Suchard
Journal:  Stat Med       Date:  2017-01-18       Impact factor: 2.373

10.  Allele dynamics plots for the study of evolutionary dynamics in viral populations.

Authors:  Lars Steinbrück; Alice Carolyn McHardy
Journal:  Nucleic Acids Res       Date:  2010-10-18       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.