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Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
Published on: June 26, 2018
Large-Scale Blood Proteomic Analysis Across Different Inflammatory Skin Conditions Reveals Extensive Immune
Jacob W Glickman1, Eden David1, Neda Shokrian1
1Department of Dermatology and Laboratory of Inflammatory Skin Diseases, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
This study reveals shared and distinct systemic protein changes in inflammatory skin diseases like hidradenitis suppurativa and psoriasis. These findings suggest potential for common therapeutic strategies across conditions.
Area of Science:
- Immunology
- Dermatology
- Proteomics
Background:
- Inflammatory skin diseases have complex molecular underpinnings.
- Systemic effects of common skin conditions require further large-scale proteomic investigation.
Purpose of the Study:
- To comprehensively analyze systemic proteomic expression across major inflammatory skin diseases.
- To identify shared and distinct protein signatures and their correlation with disease severity.
Main Methods:
- Serum proteomic analysis using Olink high-throughput multiplex assay in patients with alopecia areata, atopic dermatitis, psoriasis, hidradenitis suppurativa, vitiligo, and healthy controls.
- Identification of differentially expressed proteins (DEPs) based on fold change and false discovery rate.
- Correlation analysis between DEPs and clinical severity scores; Gene Ontology enrichment analysis.
Main Results:
- Hidradenitis suppurativa (HS) showed the highest systemic dysregulation, followed by alopecia areata (AA), atopic dermatitis (AD), psoriasis, and vitiligo.
- Significant overlap in DEPs was observed between HS and psoriasis, and between AA and AD.
- Distinct immune activation patterns were identified, including T-cell pathways, innate immunity, and cardiovascular markers in HS, correlating with disease severity.
Conclusions:
- Inflammatory skin diseases exhibit both common and unique systemic protein activation profiles.
- The identified overlaps suggest potential for developing shared therapeutic strategies for multiple skin conditions.
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