Integrated Omics Reveal the Molecular Characterization and Pathogenic Mechanism of Rosacea

Copyright © 2023. Published by Elsevier Inc..

Recent efforts have described the transcriptomic landscape of rosacea. However, little is known about its proteomic characteristics. In this study, the proteome and phosphoproteome of lesional skin, paired nonlesional skin, and healthy skin were analyzed by liquid chromatography coupled with tandem mass spectrometry. The molecular characteristics and potential pathogenic mechanism of rosacea were demonstrated by integrating the proteome, phosphoproteome, and previous transcriptome. The proteomic data revealed a significant upregulation of inflammation- and axon extension-related proteins in lesional skin and nonlesional skin versus in healthy skin, implying an inflammatory and nerve-hypersensitive microenvironment in rosacea skin. Of these, axon-related proteins (DPYSL2 and DBNL) were correlated with the Clinician's Erythema Assessment score, and neutrophil-related proteins (ELANE and S100A family) were correlated with the Investigator's Global Assessment score. Moreover, comorbidity-related proteins were differentially expressed in rosacea; of these, SNCA was positively correlated with Clinician's Erythema Assessment score, implying a potential correlation between rosacea and comorbidities. Subsequently, the integrated proteome and transcriptome demonstrated consistent immune disturbances at both the transcriptional and protein levels. The integrative analysis of the proteome and phosphoproteome revealed the key transcription factor network and kinase network that drive the dysregulation of immunity and vasculature in rosacea. In conclusion, our multiomics analysis enables more comprehensive insight into rosacea and offers an opportunity for, to our knowledge, previously unreported treatment strategies.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:144

Enthalten in:

The Journal of investigative dermatology - 144(2024), 1 vom: 06. Jan., Seite 33-42.e2

Sprache:

Englisch

Beteiligte Personen:

Zhang, Yiya [VerfasserIn]
Huang, Yingxue [VerfasserIn]
Wang, Ben [VerfasserIn]
Shi, Wei [VerfasserIn]
Hu, Ximin [VerfasserIn]
Wang, Yaling [VerfasserIn]
Guo, Yi [VerfasserIn]
Xie, Hongfu [VerfasserIn]
Xiao, Wenqin [VerfasserIn]
Li, Ji [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Proteome
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 19.12.2023

Date Revised 22.02.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.jid.2023.05.028

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM359385834