Literature DB >> 23824816

Single hemagglutinin mutations that alter both antigenicity and receptor binding avidity influence influenza virus antigenic clustering.

Yang Li1, David L Bostick, Colleen B Sullivan, Jaclyn L Myers, Sara B Griesemer, Kirsten Stgeorge, Joshua B Plotkin, Scott E Hensley.   

Abstract

The hemagglutination inhibition (HAI) assay is the primary measurement used for identifying antigenically novel influenza virus strains. HAI assays measure the amount of reference sera required to prevent virus binding to red blood cells. Receptor binding avidities of viral strains are not usually taken into account when interpreting these assays. Here, we created antigenic maps of human H3N2 viruses that computationally account for variation in viral receptor binding avidities. These new antigenic maps differ qualitatively from conventional antigenic maps based on HAI measurements alone. We experimentally focused on an antigenic cluster associated with a single N145K hemagglutinin (HA) substitution that occurred between 1992 and 1995. Reverse-genetics experiments demonstrated that the N145K HA mutation increases viral receptor binding avidity. Enzyme-linked immunosorbent assays (ELISA) revealed that the N145K HA mutation does not prevent antibody binding; rather, viruses possessing this mutation escape antisera in HAI assays simply by attaching to cells more efficiently. Unexpectedly, we found an asymmetric antigenic effect of the N145K HA mutation. Once H3N2 viruses acquired K145, an epitope involving amino acid 145 became antigenically dominant. Antisera raised against an H3N2 strain possessing K145 had reduced reactivity to H3N2 strains possessing N145. Thus, individual mutations in HA can influence antigenic groupings of strains by altering receptor binding avidity and by changing the dominance of antibody responses. Our results indicate that it will be important to account for variation in viral receptor binding avidity when performing antigenic analyses in order to identify genuine antigenic differences among influenza virus variants.

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Year:  2013        PMID: 23824816      PMCID: PMC3754131          DOI: 10.1128/JVI.01023-13

Source DB:  PubMed          Journal:  J Virol        ISSN: 0022-538X            Impact factor:   5.103


  28 in total

1.  The impact of key amino acid substitutions in the hemagglutinin of influenza A (H3N2) viruses on vaccine production and antibody response.

Authors:  Zhongying Chen; Helen Zhou; Hong Jin
Journal:  Vaccine       Date:  2010-05-28       Impact factor: 3.641

2.  Selection of influenza A virus adsorptive mutants by growth in the presence of a mixture of monoclonal antihemagglutinin antibodies.

Authors:  J W Yewdell; A J Caton; W Gerhard
Journal:  J Virol       Date:  1986-02       Impact factor: 5.103

3.  Large-scale sequencing of human influenza reveals the dynamic nature of viral genome evolution.

Authors:  Elodie Ghedin; Naomi A Sengamalay; Martin Shumway; Jennifer Zaborsky; Tamara Feldblyum; Vik Subbu; David J Spiro; Jeff Sitz; Hean Koo; Pavel Bolotov; Dmitry Dernovoy; Tatiana Tatusova; Yiming Bao; Kirsten St George; Jill Taylor; David J Lipman; Claire M Fraser; Jeffery K Taubenberger; Steven L Salzberg
Journal:  Nature       Date:  2005-10-05       Impact factor: 49.962

4.  Serology and energetics of cross-reactions among the H3 antigens of influenza viruses.

Authors:  P A Underwood
Journal:  Infect Immun       Date:  1980-02       Impact factor: 3.441

5.  The antigenic structure of the influenza virus A/PR/8/34 hemagglutinin (H1 subtype).

Authors:  A J Caton; G G Brownlee; J W Yewdell; W Gerhard
Journal:  Cell       Date:  1982-12       Impact factor: 41.582

6.  Estimates of deaths associated with seasonal influenza --- United States, 1976-2007.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2010-08-27       Impact factor: 17.586

7.  The role of influenza A virus hemagglutinin residues 226 and 228 in receptor specificity and host range restriction.

Authors:  A Vines; K Wells; M Matrosovich; M R Castrucci; T Ito; Y Kawaoka
Journal:  J Virol       Date:  1998-09       Impact factor: 5.103

8.  Single amino acid substitutions in influenza haemagglutinin change receptor binding specificity.

Authors:  G N Rogers; J C Paulson; R S Daniels; J J Skehel; I A Wilson; D C Wiley
Journal:  Nature       Date:  1983 Jul 7-13       Impact factor: 49.962

9.  On the use of hemagglutination-inhibition for influenza surveillance: surveillance data are predictive of influenza vaccine effectiveness.

Authors:  Wilfred Ndifon; Jonathan Dushoff; Simon A Levin
Journal:  Vaccine       Date:  2009-02-24       Impact factor: 3.641

10.  Whole-genome analysis of human influenza A virus reveals multiple persistent lineages and reassortment among recent H3N2 viruses.

Authors:  Edward C Holmes; Elodie Ghedin; Naomi Miller; Jill Taylor; Yiming Bao; Kirsten St George; Bryan T Grenfell; Steven L Salzberg; Claire M Fraser; David J Lipman; Jeffery K Taubenberger
Journal:  PLoS Biol       Date:  2005-07-26       Impact factor: 8.029

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  40 in total

1.  Compensatory hemagglutinin mutations alter antigenic properties of influenza viruses.

Authors:  Jaclyn L Myers; Katherine S Wetzel; Susanne L Linderman; Yang Li; Colleen B Sullivan; Scott E Hensley
Journal:  J Virol       Date:  2013-08-07       Impact factor: 5.103

2.  Potential Antigenic Mismatch of the H3N2 Component of the 2019 Southern Hemisphere Influenza Vaccine.

Authors:  Sigrid Gouma; Madison Weirick; Scott E Hensley
Journal:  Clin Infect Dis       Date:  2020-05-23       Impact factor: 9.079

3.  Epistatic interactions can moderate the antigenic effect of substitutions in haemagglutinin of influenza H3N2 virus.

Authors:  Björn F Koel; David F Burke; Stefan van der Vliet; Theo M Bestebroer; Guus F Rimmelzwaan; Albert D M E Osterhaus; Derek J Smith; Ron A M Fouchier
Journal:  J Gen Virol       Date:  2019-04-24       Impact factor: 3.891

4.  Recent H3N2 Viruses Have Evolved Specificity for Extended, Branched Human-type Receptors, Conferring Potential for Increased Avidity.

Authors:  Wenjie Peng; Robert P de Vries; Oliver C Grant; Andrew J Thompson; Ryan McBride; Buyankhishig Tsogtbaatar; Peter S Lee; Nahid Razi; Ian A Wilson; Robert J Woods; James C Paulson
Journal:  Cell Host Microbe       Date:  2016-12-22       Impact factor: 21.023

Review 5.  Models of immune selection for multi-locus antigenic diversity of pathogens.

Authors:  Maria Georgieva; Caroline O Buckee; Marc Lipsitch
Journal:  Nat Rev Immunol       Date:  2019-01       Impact factor: 53.106

6.  Effect of Priming With Seasonal Influenza A(H3N2) Virus on the Prevalence of Cross-Reactive Hemagglutination-Inhibition Antibodies to Swine-Origin A(H3N2) Variants.

Authors:  Feng Liu; Vic Veguilla; F Liaini Gross; Eric Gillis; Thomas Rowe; Xiyan Xu; Terrence M Tumpey; Jacqueline M Katz; Min Z Levine; Xiuhua Lu
Journal:  J Infect Dis       Date:  2017-09-15       Impact factor: 5.226

7.  Identification of Hemagglutinin Residues Responsible for H3N2 Antigenic Drift during the 2014-2015 Influenza Season.

Authors:  Benjamin S Chambers; Kaela Parkhouse; Ted M Ross; Kevin Alby; Scott E Hensley
Journal:  Cell Rep       Date:  2015-06-25       Impact factor: 9.423

8.  Plasticity of Amino Acid Residue 145 Near the Receptor Binding Site of H3 Swine Influenza A Viruses and Its Impact on Receptor Binding and Antibody Recognition.

Authors:  Jefferson J S Santos; Eugenio J Abente; Adebimpe O Obadan; Andrew J Thompson; Lucas Ferreri; Ginger Geiger; Ana S Gonzalez-Reiche; Nicola S Lewis; David F Burke; Daniela S Rajão; James C Paulson; Amy L Vincent; Daniel R Perez
Journal:  J Virol       Date:  2019-01-04       Impact factor: 5.103

9.  Recent H3N2 influenza virus clinical isolates rapidly acquire hemagglutinin or neuraminidase mutations when propagated for antigenic analyses.

Authors:  Benjamin S Chambers; Yang Li; Richard L Hodinka; Scott E Hensley
Journal:  J Virol       Date:  2014-07-02       Impact factor: 5.103

Review 10.  Challenges of selecting seasonal influenza vaccine strains for humans with diverse pre-exposure histories.

Authors:  Scott E Hensley
Journal:  Curr Opin Virol       Date:  2014-08-11       Impact factor: 7.090

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