Literature DB >> 16490287

Haemagglutinin quantification and identification of influenza A&B strains propagated in PER.C6 cells: a novel RP-HPLC method.

Johan C Kapteyn1, Mohammed Drissi Saidi, René Dijkstra, Cennet Kars, Joan C M S-K Tjon, G J Weverling, Marcel L de Vocht, Ronald Kompier, Bart A van Montfort, Jean-Yves Guichoux, Jaap Goudsmit, Fija M Lagerwerf.   

Abstract

The major antigenic determinant of influenza A and B virus is haemagglutinin (HA). The HA content is an important specification of influenza vaccines. HA in vaccines has typically been quantified by single-radial-immunodiffusion (SRID). However, SRID is a laborious and low throughput assay. Moreover, sensitivity, accuracy, and precision, especially for non-purified (in-process) influenza virus is relatively low. We present a novel method for quantification of HA in influenza viral cultures as well as for the identification of HA from individual influenza strains in trivalent vaccines. The method is based on the separation of HA(1), the hydrophilic subunit of HA, from the more hydrophobic viral and matrix components by reversed-phase high performance liquid chromatography (RP-HPLC). The HA(1) peak area is demonstrated to be proportional to the level of HA in non-purified, semi-purified and purified vaccine products of various epidemic and pandemic influenza A and B strains propagated in PER.C6((R)) cell cultures. The RP-HPLC assay selectivity allows for the simultaneous identification and quantification of HA(1) from influenza A and B strains in the yearly revised trivalent vaccines for epidemic outbreaks.

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Year:  2006        PMID: 16490287     DOI: 10.1016/j.vaccine.2006.01.046

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  16 in total

Review 1.  Downstream processing and chromatography based analytical methods for production of vaccines, gene therapy vectors, and bacteriophages.

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Review 2.  Advances in novel influenza vaccines: a patent review.

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3.  Development of the H3N2 influenza microneedle vaccine for cross-protection against antigenic variants.

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Journal:  Sci Rep       Date:  2022-07-16       Impact factor: 4.996

4.  Limited Tryptic Digestion-Isotope Dilution Mass Spectrometry (LTD-IDMS): A Reagent-Free Analytical Assay To Quantify Hemagglutinin of A(H5N1) Vaccine Material.

Authors:  Hans C Cooper; Yuhong Xie; Giuseppe Palladino; John R Barr; Ethan C Settembre; Yingxia Wen; Tracie L Williams
Journal:  Anal Chem       Date:  2020-08-12       Impact factor: 6.986

Review 5.  Cell-based influenza vaccines: progress to date.

Authors:  Jennifer M Audsley; Gregory A Tannock
Journal:  Drugs       Date:  2008       Impact factor: 9.546

6.  Titer on chip: new analytical tool for influenza vaccine potency determination.

Authors:  Laura R Kuck; Michelle Sorensen; Erin Matthews; Indresh Srivastava; Manon M J Cox; Kathy L Rowlen
Journal:  PLoS One       Date:  2014-10-20       Impact factor: 3.240

7.  Evaluation of Haemagglutinin Content by RP-HPLC to Generate Pandemic Influenza Vaccine.

Authors:  Hyunkyung Kang; Hang Sik Roh; Hyemin Song; Kwangmoon Lee; Seung-Tae Chung; Sang-Ja Ban; In Pil Mo; Beum-Soo An; Chi-Young Ahn
Journal:  Toxicol Res       Date:  2016-10-30

8.  A novel synthetic receptor-based immunoassay for influenza vaccine quantification.

Authors:  Anwar M Hashem; Caroline Gravel; Aaron Farnsworth; Wei Zou; Michelle Lemieux; Kangwei Xu; Changgui Li; Junzhi Wang; Marie-France Goneau; Maria Merziotis; Runtao He; Michel Gilbert; Xuguang Li
Journal:  PLoS One       Date:  2013-02-12       Impact factor: 3.240

Review 9.  Analytical technologies for influenza virus-like particle candidate vaccines: challenges and emerging approaches.

Authors:  Christine M Thompson; Emma Petiot; Alexandre Lennaertz; Olivier Henry; Amine A Kamen
Journal:  Virol J       Date:  2013-05-04       Impact factor: 4.099

10.  Universal type/subtype-specific antibodies for quantitative analyses of neuraminidase in trivalent influenza vaccines.

Authors:  Kangwei Xu; Changgui Li; Caroline Gravel; Zheng Jiang; Bozena Jaentschke; Gary Van Domselaar; Xuguang Li; Junzhi Wang
Journal:  Sci Rep       Date:  2018-01-18       Impact factor: 4.379

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