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dc.contributor.authorGavasso, Soniaen_US
dc.contributor.authorMosleth, Ellen Færgestaden_US
dc.contributor.authorMarøy, Tove Heleneen_US
dc.contributor.authorJørgensen, Katarina Mariannen_US
dc.contributor.authorNakkestad, Hanne Lindaen_US
dc.contributor.authorGjertsen, Bjørn Toreen_US
dc.contributor.authorMyhr, Kjell-Mortenen_US
dc.contributor.authorVedeler, Christian A.en_US
dc.date.accessioned2015-03-18T13:06:11Z
dc.date.available2015-03-18T13:06:11Z
dc.date.issued2014-02-19eng
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/1956/9580
dc.description.abstractBackground: Anti interferon-beta (IFN-β) neutralizing antibodies (NAb) affect efficacy of treatment of multiple sclerosis patients, but exactly when the detrimental effects of NAbs offset therapeutic efficacy is debated. Quantification of intracellular pathway-specific phosphorylation by phospho-specific flow cytometry (phosphoflow) is a promising tool for evaluation of these effects in primary immune cells from treated patients at the single-cell level. Method: Samples for phosphoflow and gene expression changes were collected before administration of IFN-β and at four, six, and eight hours thereafter. Patients were NAb negative (n = 3) or were NAb positive with low/medium (n = 1) or high (n = 2) NAb titers. Levels of phosphorylation of six Stat transcription factors (pStat) in seven cell subtypes and expression levels of 71 pathway-specific genes in whole blood were measured. The data was subjected to principal component analysis (PCA), fifty-fifty MANOVA, ANOVA, and partial least square regression (PLSR). Results: PCA of pStat levels clustered patients according to NAb class independently of time. PCA of gene expression data clustered patients according to NAb class but was affected by time and treatment. In the fifty-fifty MANOVA, NAb class was significant for both pStat levels and gene expression data. The ANOVA identified pStat1 protein in several cell subtypes as significantly affected by NAb class. The best fitting model for NAb prediction based on PLSR included pStat1 in monocytes, T cells, or lymphocytes and pStat3 in monocytes (r = 0.97). Gene expression data were slightly less predictive of NAb titers. Conclusion: Based on this proof of concept study, we hypothesize that NAb effects can be monitored by evaluation of a single biomarker, pStat1, in either monocytes or T cells by phosphoflow directly after IFN-β administration. The method will significantly reduce cost relative to labor intensive in vitro methods and offers a patient-specific approach to NAb evaluation.en_US
dc.language.isoengeng
dc.publisherPublic Library of Scienceeng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/eng
dc.titleDeficient phosphorylation of stat-1 in leukocytes identifies neutralizing antibodies in multiple sclerosis patients treated with interferon-betaen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2015-03-03T15:10:56Zen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2014 Gavasso et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.source.articlenumbere88632
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0088632
dc.identifier.cristin1122734
dc.source.journalPLoS ONE
dc.source.409
dc.source.142
dc.relation.projectNorges forskningsråd: 225096
dc.relation.projectEgen institusjon: 201302
dc.subject.nsiVDP::Medical sciences: 700::Clinical medical sciences: 750::Neurology: 752eng
dc.subject.nsiVDP::Medisinske fag: 700::Klinisk medisinske fag: 750::Nevrologi: 752nob


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