Bioinformatics‑Based Analysis Reveals Diagnostic Biomarkers and Immune Landscape in Atopic Dermatitis

ECSIT, LRFN5, and USP16 represent promising diagnostic biomarkers for AD and are involved in immune cell infiltration, providing new insights into AD pathogenesis.

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Publication Details

Journal
Clinical Cosmetic and Investigational Dermatology
Published
2025-05-01
DOI
https://doi.org/10.2147/ccid.s510044
Citations
1
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
2.00
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Bioinformatics‑Based Analysis Reveals Diagnostic Biomarkers and Immune Landscape in Atopic Dermatitis

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article

Bioinformatics‑Based Analysis Reveals Diagnostic Biomarkers and Immune Landscape in Atopic Dermatitis

Chao Zhou, Mingmei Yang, Wenting Zhang, Xiaolei Zhang, Mengyuan Zhou, Yanhui Du
article en
1 citations

Abstract

ECSIT, LRFN5, and USP16 represent promising diagnostic biomarkers for AD and are involved in immune cell infiltration, providing new insights into AD pathogenesis.

Clinical Cosmetic and Investigational DermatologyVol. Volume 18
Changzhou Institute of Technology (CN), Changzhou University (CN), Hangzhou Children's Hospital (CN)
Zero hunger
Openalex Percentile: Top 15%
Dermatology and Skin Diseases
2.00
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