Literature DB >> 17335844

Development and validation of a real time PCR-based bioassay for quantification of neutralizing antibodies against human interferon-beta.

A Bertolotto1, A Sala, M Caldano, M Capobianco, S Malucchi, F Marnetto, F Gilli.   

Abstract

There are two commonly employed types of bioassays for the detection of neutralizing antibodies (NAbs) against interferon-beta (IFNbeta): the cytopatic effect assay (CPE), and the MxA (myxovirus resistance protein A) protein assay (MPA). This article describes a bioassay based on the real time PCR measurement of mRNA that results from the induction, in cultured human cells, of the MxA gene by IFNbeta. Serum samples from 104 patients with multiple sclerosis (MS) treated with IFNbeta were tested for NAbs using our real time PCR bioassay. NAbs also were measured in the same specimens by the MPA assay and CPE assay. The calibration range of the real time PCR bioassay is 0.125-30 LU/mL. The range of the intra- and inter-assay variations (coefficients of variation in log(10)) were 4.05% (range 0.88%-7.90%) and 4.42% (range 0.31%-9.15%), respectively. Samples of the three commercial preparations of IFNbeta-1a and -1b were measured showing dose-response curves parallel to that of the NIH reference IFNbeta (mean SD at the midpoint of the dose-response curve=5%). In addition, the assay was robust with respect to number of cells plated (i.e., increasing cell densities from 12x10(3)/well to 384x10(3)/well resulted in 3.03% variability in MxA expression normalized with glyceraldehyde-3 phosphate dehydrogenase). NAbs titers measured were closely comparable to those obtained by the MPA [r(spearman)=0.899; 89% of observed agreements; K=0.779] and the CPE [r(spearman)=0.7899); 86%; K=0.729] assays. Despite the obvious disadvantage of cost, when carried out according to quality assurance guidelines for molecular diagnostics the new MxA gene-expression assay (MGA) has significant advantages over the other methods for testing NAbs: it has excellent reliability and reproducibility, and utilizes equipment and methodologies already accessible in many clinical laboratories.

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Year:  2007        PMID: 17335844     DOI: 10.1016/j.jim.2006.12.012

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  13 in total

1.  Neutralizing antibodies against interferon-Beta.

Authors:  Per Soelberg Sorensen
Journal:  Ther Adv Neurol Disord       Date:  2008-09       Impact factor: 6.570

2.  Use of a standardized MxA protein measurement-based assay for validation of assays for the assessment of neutralizing antibodies against interferon-β.

Authors:  Meenu Wadhwa; Meena Subramanyam; Susan Goelz; Jaya Goyal; Vijay Jethwa; Wendy Jones; James G Files; Daniel Kramer; Chris Bird; Paula Dilger; Michael Tovey; Christophe Lallemand; Robin Thorpe
Journal:  J Interferon Cytokine Res       Date:  2013-07-13       Impact factor: 2.607

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Authors:  Sidney E Grossberg; Yoshimi Kawade; Leslie D Grossberg
Journal:  J Interferon Cytokine Res       Date:  2009-02       Impact factor: 2.607

4.  Clinical testing for neutralizing antibodies to interferon-β in multiple sclerosis.

Authors:  Paul I Creeke; Rachel A Farrell
Journal:  Ther Adv Neurol Disord       Date:  2013-01       Impact factor: 6.570

5.  Bioactivity determination of native and variant forms of therapeutic interferons.

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Journal:  Med Sci Monit       Date:  2015-05-26

7.  Human leukocyte antigen genes and interferon beta preparations influence risk of developing neutralizing anti-drug antibodies in multiple sclerosis.

Authors:  Jenny Link; Malin Lundkvist Ryner; Katharina Fink; Christina Hermanrud; Izaura Lima; Boel Brynedal; Ingrid Kockum; Jan Hillert; Anna Fogdell-Hahn
Journal:  PLoS One       Date:  2014-03-07       Impact factor: 3.240

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Journal:  PLoS One       Date:  2016-11-02       Impact factor: 3.240

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Authors:  Rasmus K L Gustafsson; Elin E Engdahl; Oscar Hammarfjord; Sanjaya B Adikari; Magda Lourda; Jonas Klingström; Mattias Svensson; Anna Fogdell-Hahn
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

10.  Transcriptional response to interferon beta-1a treatment in patients with secondary progressive multiple sclerosis.

Authors:  Michael Gurevich; Gadi Miron; Rina Zilkha Falb; David Magalashvili; Mark Dolev; Yael Stern; Anat Achiron
Journal:  BMC Neurol       Date:  2015-11-21       Impact factor: 2.474

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