Tissue gene expression profiles and communication networks inform candidate blood biomarker identification in psoriasis and atopic dermatitis.
Atopic dermatitis
Bioinformatic
Biomarker
Inflammation
Psoriasis
Spatial transcriptomics
Treatment
Journal
Clinical immunology (Orlando, Fla.)
ISSN: 1521-7035
Titre abrégé: Clin Immunol
Pays: United States
ID NLM: 100883537
Informations de publication
Date de publication:
14 Jun 2024
14 Jun 2024
Historique:
received:
18
02
2024
revised:
24
05
2024
accepted:
10
06
2024
medline:
17
6
2024
pubmed:
17
6
2024
entrez:
16
6
2024
Statut:
aheadofprint
Résumé
Overlapping clinical and pathomechanistic features can complicate the diagnosis and treatment of inflammatory skin diseases, including psoriasis and atopic dermatitis (AD). Spatial transcriptomics allows the identification of disease- and cell-specific molecular signatures that may advance biomarker development and future treatments. This study identified transcriptional signatures in keratinocytes and sub-basal CD4
Identifiants
pubmed: 38880200
pii: S1521-6616(24)00392-9
doi: 10.1016/j.clim.2024.110283
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
110283Informations de copyright
Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest C.M.H. received unrestricted research funding from Novartis (psoriasis) and participated in advisory boards organized by Novartis (CNO/CRMO). The other authors have no financial conflicts of interest.