Literature DB >> 26818953

Standardization of Hemagglutination Inhibition Assay for Influenza Serology Allows for High Reproducibility between Laboratories.

Mary Zacour1, Brian J Ward2, Angela Brewer2, Patrick Tang3, Guy Boivin4, Yan Li5, Michelle Warhuus6, Shelly A McNeil7, Jason J LeBlanc8, Todd F Hatchette9.   

Abstract

Standardization of the hemagglutination inhibition (HAI) assay for influenza serology is challenging. Poor reproducibility of HAI results from one laboratory to another is widely cited, limiting comparisons between candidate vaccines in different clinical trials and posing challenges for licensing authorities. In this study, we standardized HAI assay materials, methods, and interpretive criteria across five geographically dispersed laboratories of a multidisciplinary influenza research network and then evaluated intralaboratory and interlaboratory variations in HAI titers by repeatedly testing standardized panels of human serum samples. Duplicate precision and reproducibility from comparisons between assays within laboratories were 99.8% (99.2% to 100%) and 98.0% (93.3% to 100%), respectively. The results for 98.9% (95% to 100%) of the samples were within 2-fold of all-laboratory consensus titers, and the results for 94.3% (85% to 100%) of the samples were within 2-fold of our reference laboratory data. Low-titer samples showed the greatest variability in comparisons between assays and between sites. Classification of seroprotection (titer ≥ 40) was accurate in 93.6% or 89.5% of cases in comparison to the consensus or reference laboratory classification, respectively. This study showed that with carefully chosen standardization processes, high reproducibility of HAI results between laboratories is indeed achievable.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26818953      PMCID: PMC4783428          DOI: 10.1128/CVI.00613-15

Source DB:  PubMed          Journal:  Clin Vaccine Immunol        ISSN: 1556-679X


  22 in total

1.  Validation of immunoassays for bioanalysis: a pharmaceutical industry perspective.

Authors:  J W Findlay; W C Smith; J W Lee; G D Nordblom; I Das; B S DeSilva; M N Khan; R R Bowsher
Journal:  J Pharm Biomed Anal       Date:  2000-01       Impact factor: 3.935

2.  Recommendations for the bioanalytical method validation of ligand-binding assays to support pharmacokinetic assessments of macromolecules.

Authors:  Binodh DeSilva; Wendell Smith; Russell Weiner; Marian Kelley; JoMarie Smolec; Ben Lee; Masood Khan; Richard Tacey; Howard Hill; Abbie Celniker
Journal:  Pharm Res       Date:  2003-11       Impact factor: 4.200

3.  Prevalence of seroprotection against the pandemic (H1N1) virus after the 2009 pandemic.

Authors:  Danuta M Skowronski; Travis S Hottes; Naveed Z Janjua; Dale Purych; Suzana Sabaiduc; Tracy Chan; Gaston De Serres; Jennifer Gardy; Janet E McElhaney; David M Patrick; Martin Petric
Journal:  CMAJ       Date:  2010-10-18       Impact factor: 8.262

4.  Quantitative bioanalytical methods validation and implementation: best practices for chromatographic and ligand binding assays.

Authors:  C T Viswanathan; Surendra Bansal; Brian Booth; Anthony J DeStefano; Mark J Rose; Jeffrey Sailstad; Vinod P Shah; Jerome P Skelly; Patrick G Swann; Russell Weiner
Journal:  Pharm Res       Date:  2007-04-26       Impact factor: 4.200

5.  Standardization and validation of assays determining cellular immune responses against influenza.

Authors:  Karlijn Gijzen; Wai Ming Liu; Ildikó Visontai; Fredrik Oftung; Sylvie van der Werf; Gro Ellen Korsvold; Inge Pronk; Ingeborg S Aaberge; Anna Tütto; Istvan Jankovics; Mate Jankovics; Beth Gentleman; Janet E McElhaney; Ernst C Soethout
Journal:  Vaccine       Date:  2010-03-04       Impact factor: 3.641

Review 6.  Haemagglutination-inhibiting antibody to influenza virus.

Authors:  J C de Jong; A M Palache; W E P Beyer; G F Rimmelzwaan; A C M Boon; A D M E Osterhaus
Journal:  Dev Biol (Basel)       Date:  2003

7.  Reproducibility of serologic assays for influenza virus A (H5N1).

Authors:  Iain Stephenson; Alan Heath; Diane Major; Robert W Newman; Katja Hoschler; Wang Junzi; Jacqueline M Katz; Jerry P Weir; Maria C Zambon; John M Wood
Journal:  Emerg Infect Dis       Date:  2009-08       Impact factor: 6.883

8.  Qualification of the hemagglutination inhibition assay in support of pandemic influenza vaccine licensure.

Authors:  Diana L Noah; Heather Hill; David Hines; E Lucile White; Mark C Wolff
Journal:  Clin Vaccine Immunol       Date:  2009-02-18

9.  Comparison of influenza serological techniques by international collaborative study.

Authors:  J M Wood; R E Gaines-Das; J Taylor; P Chakraverty
Journal:  Vaccine       Date:  1994-02       Impact factor: 3.641

10.  Comparison of neutralising antibody assays for detection of antibody to influenza A/H3N2 viruses: an international collaborative study.

Authors:  Iain Stephenson; Rose Gaines Das; John M Wood; Jacqueline M Katz
Journal:  Vaccine       Date:  2007-02-27       Impact factor: 3.641

View more
  23 in total

1.  End-to-end antigenic variant generation for H1N1 influenza HA protein using sequence to sequence models.

Authors:  Mohamed Elsayed Abbas; Zhu Chengzhang; Ahmed Fathalla; Yalong Xiao
Journal:  PLoS One       Date:  2022-03-28       Impact factor: 3.240

2.  Enhancing influenza vaccine immunogenicity and efficacy through infection mimicry using silk microneedles.

Authors:  Jordan A Stinson; Archana V Boopathy; Brian M Cieslewicz; Yichen Zhang; Nickolas W Hartman; David P Miller; Matthew Dirckx; Brett L Hurst; E Bart Tarbet; Jonathan A Kluge; Kathryn M Kosuda
Journal:  Vaccine       Date:  2021-08-12       Impact factor: 4.169

3.  Physical activity and acute exercise benefit influenza vaccination response: A systematic review with individual participant data meta-analysis.

Authors:  Erika Bohn-Goldbaum; Katherine B Owen; Vivian Y J Lee; Robert Booy; Kate M Edwards
Journal:  PLoS One       Date:  2022-06-15       Impact factor: 3.752

4.  Association between Haemagglutination inhibiting antibodies and protection against clade 6B viruses in 2013 and 2015.

Authors:  Sophia Ng; Saira Saborio; Guillermina Kuan; Lionel Gresh; Nery Sanchez; Sergio Ojeda; Eva Harris; Angel Balmaseda; Aubree Gordon
Journal:  Vaccine       Date:  2017-10-03       Impact factor: 3.641

Review 5.  Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary Biology.

Authors:  Dylan H Morris; Katelyn M Gostic; Simone Pompei; Trevor Bedford; Marta Łuksza; Richard A Neher; Bryan T Grenfell; Michael Lässig; John W McCauley
Journal:  Trends Microbiol       Date:  2017-10-30       Impact factor: 17.079

6.  Human megakaryocytes possess intrinsic antiviral immunity through regulated induction of IFITM3.

Authors:  Robert A Campbell; Hansjorg Schwertz; Eugenio D Hottz; Jesse W Rowley; Bhanu Kanth Manne; A Valance Washington; Robert Hunter-Mellado; Neal D Tolley; Miles Christensen; Alicia S Eustes; Emilie Montenont; Seema Bhatlekar; Cassandra H Ventrone; Beth D Kirkpatrick; Kristen K Pierce; Stephen S Whitehead; Sean A Diehl; Paul F Bray; Guy A Zimmerman; Yasuhiro Kosaka; Patricia T Bozza; Fernando A Bozza; Andrew S Weyrich; Matthew T Rondina
Journal:  Blood       Date:  2019-02-05       Impact factor: 25.476

7.  Heterologous Humoral Response against H5N1, H7N3, and H9N2 Avian Influenza Viruses after Seasonal Vaccination in a European Elderly Population.

Authors:  Ivan Sanz; Silvia Rojo; Sonia Tamames; José María Eiros; Raúl Ortiz de Lejarazu
Journal:  Vaccines (Basel)       Date:  2017-07-17

8.  Automated interpretation of influenza hemagglutination inhibition (HAI) assays: Is plate tilting necessary?

Authors:  Garrett Wilson; Zhiping Ye; Hang Xie; Steven Vahl; Erica Dawson; Kathy Rowlen
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

Review 9.  The establishment of surrogates and correlates of protection: Useful tools for the licensure of effective influenza vaccines?

Authors:  Brian J Ward; Stephane Pillet; Nathalie Charland; Sonia Trepanier; Julie Couillard; Nathalie Landry
Journal:  Hum Vaccin Immunother       Date:  2018-01-16       Impact factor: 3.452

Review 10.  Vaccine Considerations for Multiple Sclerosis in the COVID-19 Era.

Authors:  Patricia K Coyle; Anne Gocke; Megan Vignos; Scott D Newsome
Journal:  Adv Ther       Date:  2021-06-01       Impact factor: 3.845

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.