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Identification of Novel Biomarkers in Seasonal Allergic Rhinitis by Combining Proteomic, Multivariate and Pathway Analysis

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  • Hui Wang
  • Johan Gottfries
  • Fredrik Barrenäs
  • Mikael Benson

Abstract

Background: Glucocorticoids (GCs) play a key role in the treatment of seasonal allergic rhinitis (SAR). However, some patients show a low response to GC treatment. We hypothesized that proteins that correlated to discrimination between symptomatic high and low responders (HR and LR) to GC treatment might be regulated by GCs and therefore suitable as biomarkers for GC treatment. Methodology/Principal Findings: We identified 953 nasal fluid proteins in symptomatic HR and LR with a LC MS/MS based-quantitative proteomics analysis and performed multivariate analysis to identify a combination of proteins that best separated symptomatic HR and LR. Pathway analysis showed that those proteins were most enriched in the acute phase response pathway. We prioritized candidate biomarkers for GC treatment based on the multivariate and pathway analysis. Next, we tested if those candidate biomarkers differed before and after GC treatment in nasal fluids from 40 patients with SAR using ELISA. Several proteins including ORM (P

Suggested Citation

  • Hui Wang & Johan Gottfries & Fredrik Barrenäs & Mikael Benson, 2011. "Identification of Novel Biomarkers in Seasonal Allergic Rhinitis by Combining Proteomic, Multivariate and Pathway Analysis," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-8, August.
    • Handle: RePEc:plo:pone00:0023563
    DOI: 10.1371/journal.pone.0023563
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    Cited by:

    1. Yelin Zhao & Hui Wang & Mika Gustafsson & Antonella Muraro & Sören Bruhn & Mikael Benson, 2012. "Combined Multivariate and Pathway Analyses Show That Allergen-Induced Gene Expression Changes in CD4+ T Cells Are Reversed by Glucocorticoids," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-7, June.

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