Integration of Flow Cytometry and Computational Analysis to Dissect the Epidermal Cellular Subsets in Keloids that Correlate with Recurrence

Copyright © 2021 West China Hospital of Sichuan University, China. Published by Elsevier Inc. All rights reserved..

Keloid disease is a benign skin disease that does not have an effective therapy. More and more research shows that epidermal abnormalities are involved in keloid pathogenesis. Little is known about the relationship between the abnormal epidermal immunophenotype and clinical outcome. Nine-color flow cytometry with computational analysis was performed to detect the altered cellular subpopulation distribution in keloid lesions. Receiver operating characteristic curves were drawn to compare predictive ability between the alteration of cell subgroup frequency and the Vancouver Scar Scale. The frequency of CD49fhi/CD29+/TLR7+ cellular subsets increased in the keloid epidermis compared with that in the healthy control. CD49fmid-hi/CD29+/TLR7+/CD24+ cellular subpopulation level was increased significantly in keloids, whereas CD49flo-mid/CD29‒/TLR7‒/CD24‒ cellular subpopulation frequency was decreased. The CD49flo/CD29‒/TLR7‒/CD24+/CD117+ cellular subpopulation showed an increased frequency during recurrence with a sensitivity of 66.7% and specificity of 91.7%. The area under the curve was 0.806 for cellular subpopulation analysis, which was higher than the area under the curve for the Vancouver Scar Scale (0.583). The alteration of keloid epidermal subpopulation frequency is related to recurrence, which will provide an optional predictive marker for keloid recurrence and a potential target subset for investigating the generation of keloid.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:141

Enthalten in:

The Journal of investigative dermatology - 141(2021), 10 vom: 15. Okt., Seite 2521-2529.e4

Sprache:

Englisch

Beteiligte Personen:

Zhang, Lidan [VerfasserIn]
Luo, Huaxiu [VerfasserIn]
Meng, Wentong [VerfasserIn]
Cen, Ying [VerfasserIn]
Huang, Qiaorong [VerfasserIn]
Li, Huifang [VerfasserIn]
Mo, Xianming [VerfasserIn]
Chen, Junjie [VerfasserIn]

Links:

Volltext

Themen:

Integrin alpha6
Integrin beta1
Itgb1 protein, human
Journal Article
Research Support, Non-U.S. Gov't
TLR7 protein, human
Toll-Like Receptor 7

Anmerkungen:

Date Completed 13.12.2021

Date Revised 14.12.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.jid.2021.03.022

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM323942156