Systemic Inflammatory Proteomic Biomarkers in Atopic Dermatitis: Exploring Potential Indicators for Disease Severity

Atopic dermatitis (AD) is a chronic inflammatory cutaneous disorder, that emerges from intricate interplays among genetic predisposition, immune dysregulation, environmental factors, and compromised skin barrier. Understanding the inflammatory pathway in AD is important due to its fundamental role i...

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Published inJournal of Korean medical science Vol. 39; no. 31; pp. e223 - 13
Main Authors Woo, Yu Ri, Moon, Ji Hwan, Shin, Ha Yeon, Bang, Yoon Ji, Song, Seowon, Lee, Subin, Lee, Dong Hun, Kim, Hyun Je, Kim, Jung Eun
Format Journal Article
LanguageEnglish
Published Korea (South) The Korean Academy of Medical Sciences 12.08.2024
대한의학회
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Summary:Atopic dermatitis (AD) is a chronic inflammatory cutaneous disorder, that emerges from intricate interplays among genetic predisposition, immune dysregulation, environmental factors, and compromised skin barrier. Understanding the inflammatory pathway in AD is important due to its fundamental role in the pathogenesis of AD. This study aimed to explore the diverse spectrum of proteins linked to the inflammation of AD and the relationship between systemic biomarkers and clinical severity in AD. We examined the blood samples from 48 patients with AD and 48 healthy controls (HCs) using the Proximity Extension Assay (Olink). Differentially expressed proteins (DEPs) were identified and Pearson correlation analysis was conducted to determine systemic proteomic biomarkers associated with severity of AD. A total of 29 DEPs were significantly up-regulated and 2 DEPs were significantly down-regulated in AD compared with the HC. The MCP-4, IL-18, MCP-3, TNFRSF9, and IL-17C were the top 5 highest DEPs associated with the severity of AD. Our study sheds light on the intricate network of inflammatory proteins in AD and their potential implications for disease severity. Our results indicate that these systemic inflammatory proteins could be valuable for assessing AD severity and enhancing our understanding of the disease's complexity and its potential management strategies.
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Yu Ri Woo and Ji Hwan Moon contributed equally to this work.
ISSN:1011-8934
1598-6357
1598-6357
DOI:10.3346/jkms.2024.39.e223