Identification of novel hub genes and immune infiltration in atopic dermatitis using integrated bioinformatics analysis

The aim of this study was to identify key genes and investigate the immunological mechanisms of atopic dermatitis (AD) at the molecular level via bioinformatics analysis. Gene expression profiles (GSE32924, GSE107361, GSE121212, and GSE230200) were obtained for screening common differentially expressed genes (co-DEGs) from the gene expression omnibus database. Functional enrichment analysis, protein-protein interaction network and module construction, and identification of common hub genes were performed. Hub genes were validated using receiver operating characteristic curve analysis based on GSE130588 and GSE16161. NetworkAnalyst was used to detect microRNAs (miRNAs) and transcription factors (TFs) associated with the hub genes. The immune cell infiltration was analyzed using the CIBERSORT algorithm to further analyze the correlation between hub genes and immune cells. A total of 146 co-DEGs were obtained, showing significant enrichment in cytokine-cytokine receptor interaction and JAK-STAT signaling pathway. Seven hub genes were identified by Cytoscape and validated with external datasets. Subsequent prediction of miRNAs and TFs targeting these hub genes revealed their regulatory roles. Analysis of immune cell infiltration and correlation revealed a significant positive correlation between CCL22 expression and the number of dendritic cells activated. The identified hub genes represent potential diagnostic and therapeutic targets in the immunological pathogenesis of AD.

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Publication Details

Journal
Scientific Reports
Published
2024-10-04
DOI
https://doi.org/10.1038/s41598-024-73244-8
Citations
2
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
1.07

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article

Identification of novel hub genes and immune infiltration in atopic dermatitis using integrated bioinformatics analysis

You Wu, Yang Zhou, Chengxin Li, Han Zhang et al.
2 citations
Scientific Reports
Dermatology and Skin Diseases
1.07
article

Identification of novel hub genes and immune infiltration in atopic dermatitis using integrated bioinformatics analysis

You Wu, Yang Zhou, Chengxin Li, Han Zhang, Zigang Zhao, Yong Zhou, Suli Zhang, Zizhuo Li, Shui Yu, Yaguang Zhou
article en
2 citations

Abstract

The aim of this study was to identify key genes and investigate the immunological mechanisms of atopic dermatitis (AD) at the molecular level via bioinformatics analysis. Gene expression profiles (GSE32924, GSE107361, GSE121212, and GSE230200) were obtained for screening common differentially expressed genes (co-DEGs) from the gene expression omnibus database. Functional enrichment analysis, protein-protein interaction network and module construction, and identification of common hub genes were performed. Hub genes were validated using receiver operating characteristic curve analysis based on GSE130588 and GSE16161. NetworkAnalyst was used to detect microRNAs (miRNAs) and transcription factors (TFs) associated with the hub genes. The immune cell infiltration was analyzed using the CIBERSORT algorithm to further analyze the correlation between hub genes and immune cells. A total of 146 co-DEGs were obtained, showing significant enrichment in cytokine-cytokine receptor interaction and JAK-STAT signaling pathway. Seven hub genes were identified by Cytoscape and validated with external datasets. Subsequent prediction of miRNAs and TFs targeting these hub genes revealed their regulatory roles. Analysis of immune cell infiltration and correlation revealed a significant positive correlation between CCL22 expression and the number of dendritic cells activated. The identified hub genes represent potential diagnostic and therapeutic targets in the immunological pathogenesis of AD.

Scientific ReportsVol. 14(1)
Chinese PLA General Hospital (CN), Hainan General Hospital (CN), Hainan 301 Hospital (CN), Hainan 301 Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hainan Province, General Hospital of People’s Liberation Army
Zero hunger
Openalex Percentile: Top 20%
Dermatology and Skin Diseases
1.07
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