CC BY-NC-ND 4.0 · Laryngorhinootologie 2019; 98(S 02): S175
DOI: 10.1055/s-0039-1686707
Abstracts
Rhinology

Approaches to the pathognomonic endotype definition of chronic rhinosinusitis based on the expression of cell adhesion proteins

B Abbaspour
1   Uniklinik Münster, Münster
,
I Nierkamp
2   Uniklinik Münster HNO, Münster
,
K Stübke
2   Uniklinik Münster HNO, Münster
,
AG Beule
2   Uniklinik Münster HNO, Münster
,
C Rudack
2   Uniklinik Münster HNO, Münster
› Author Affiliations
 
 

    Introduction:

    An understanding of the pathophysiology of the sinunasal mucosa in chronic rhinosinusitis provides the basis for new treatment modalities. Cell adhesion molecules ensure epithelial integrity. In previous studies, we identified the most striking changes in protein expression of the sinunasal epithelial barrier.

    Methods:

    Sinonasal tissue, as well as tissues from the lower turbinate (control cohort) of patients (n = 46) with chronic rhinosinusitis with and without polyps, were removed intraoperatively. Several tissue microarrays (TMA) were prepared on the tissue and coated with fluorescently labeled antigens against desmoglein 2. Representative sections were taken with a Kodak microscope under a TRITC filter. Expression was assessed by visual analog scale and correlated to the level of interleukin 5 concentration of tissue types.

    Results:

    There were highly significant changes in the expressivity of desmoglein 2 (p < 0.001) as well as interleukin 5 (p < 0.001) in the group compared between tissue with chronic rhinosinusitis and control tissue.

    Conclusion:

    This study is intended to further define the definition of endotypes and to identify immunopathological processes in chronic rhinosinusitis, which may contribute to the understanding of chronic rhinosinusitis with and without polyps.


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    Bektasch Abbaspour
    Uniklinik Münster,
    Kardinal von Galen Ring 10, 48149
    Münster

    Publication History

    Publication Date:
    23 April 2019 (online)

    © 2019. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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