Literature DB >> 34077928

3D-SeboSkin Model for Human ex vivo Studies of Hidradenitis Suppurativa/Acne Inversa.

Xiaoxiao Hou1,2, Amir M Hossini1, Georgios Nikolakis1,3, Ottfried Balthasar1, Andreas Kurtz2, Christos C Zouboulis1,3.   

Abstract

BACKGROUND: Hidradenitis suppurativa/acne inversa (HS) is a chronic, recurrent inflammatory skin disease. Its pivotal pathogenetic event is believed to be the occlusion of the hair follicle generating a perifollicular lympho-histiocytic inflammation. However, knowledge of the exact HS pathogenesis requires further research.
OBJECTIVE: To develop a human HS model applicable in preclinical research which could help to understand the pathophysiology of HS and to determine the action of therapeutic candidates.
METHODS: The 3D-SeboSkin technology was applied to maintain explants of involved and uninvolved skin of HS patients ex vivo for 3 days. Detection of differential expression of previously detected HS biomarkers was performed by immunohistochemistry in a group of female patients (n = 9, mean age 37.2 ± 8.4 years).
RESULTS: The application of the 3D-SeboSkin model preserved the structural integrity of lesional and perilesional HS skin ex vivo, as previously described for healthy skin. Moreover, the HS 3D-SeboSkin setting maintained the differential expression and pattern of several HS biomarkers (S100A9, KRT16, SERPINB3) in epidermal and dermal tissue and the appendages.
CONCLUSION: We have validated HS 3D-SeboSkin as a reproducible, human model, which is appropriate for preclinical lesional and perilesional HS skin studies ex vivo.
© 2021 S. Karger AG, Basel.

Entities:  

Keywords:  3D-SeboSkin; Ex vivo; Hidradenitis suppurativa; Skin model

Mesh:

Year:  2021        PMID: 34077928     DOI: 10.1159/000515955

Source DB:  PubMed          Journal:  Dermatology        ISSN: 1018-8665            Impact factor:   5.366


  1 in total

1.  Holistic health record for Hidradenitis suppurativa patients.

Authors:  Paola Maura Tricarico; Chiara Moltrasio; Anton Gradišek; Angelo V Marzano; Vincent Flacher; Wacym Boufenghour; Esther von Stebut; Matthias Schmuth; Wolfram Jaschke; Matjaž Gams; Michele Boniotto; Sergio Crovella
Journal:  Sci Rep       Date:  2022-05-19       Impact factor: 4.996

  1 in total

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