ArticleFrontiers in immunology2024
Identification and validation of CCR5 linking keloid with atopic dermatitis through comprehensive bioinformatics analysis and machine learning.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- The role of IL-17 and Th17 cells in keloid pathogenesis.Archives of dermatological research · 2024Pooled it
- Identification and Verification of SLC6A15 Involved in Keloid via Bioinformatics Analysis and Machine Learning.Biochemical genetics · 2026Article
- Metabolic reprogramming and ferroptosis in keloid pathogenesis: new insights for targeted therapy.Molecular biology reports · 2026Review
- Artificial intelligence in atopic dermatitis: Current applications and future perspectives.Chinese medical journal · 2026Review
- Effects of Activin A on Cytokine Expression in Fibroblasts and Keratinocytes Under Atopic Dermatitis-Like Conditions.Annals of dermatology · 2026Article
- Dietary Supplementation withNutrients · 2026Article
- Chemokine ligand-receptor interactions as potential therapeutic targets for atopic dermatitis: from basic to clinical research.Frontiers in allergy · 2026Review
- Identification and Preliminary mRNA Validation of Key Genes Associated with Tolerogenic Dendritic Cells in Keloid Based on Transcriptome Data.Clinical, cosmetic and investigational dermatology · 2026Article
- A panoramic analysis of keloid pathogenesis: multidimensional network regulation of genetics-immunity-metabolism-mechanical force.Frontiers in immunology · 2026Review
- Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management.Annals of medicine · 2025Review
- Prediction of suitable drug for keloid through analytic hierarchy process and topological indices.Scientific reports · 2025Article
- Relative risk of keloids in patients with chronic inflammatory skin disorders.JAAD international · 2025Article
- Integrative genetics and multiomics analysis reveal mechanisms and therapeutic targets in vitiligo highlighting JAK STAT pathway regulation of CTSS.Scientific reports · 2025Article
- Identification and validation of biomarkers related to centrosome replication in ulcerative colitis based on bulk transcriptome, single-cell RNA sequencing and experiments.Frontiers in immunology · 2025Article
- Integrating machine learning for the identification of ubiquitination-associated genes in moyamoya disease.Frontiers in neurology · 2025Article
- CHN1 as a potential predictive genetic biomarker for atopic dermatitis-related depression.Frontiers in immunology · 2025Article
- Discovery Potential Hub Genes and Pathways in Keloid Fibroblast Development Based on Bioinformatics Analysis.International journal of genomics · 2025Article
- Wound Infection After Keloid Excision and Adjuvant Radiotherapy: Two Case Reports and Literature Review.Clinical, cosmetic and investigational dermatology · 2025Article
- The diagnostic value and associated molecular mechanism study for fibroblast-related mitochondrial genes on keloid.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is sufficient evidence indicating that keloid is strongly associated with atopic dermatitis (AD) across ethnic groups. However, the molecular mechanism underlying the association is not fully understood. The aim of this study is to discover the underlying mechanism of the association between keloid and AD by integrating comprehensive bioinformatics techniques and machine learning methods. The gene expression profiles of keloid and AD were downloaded from the Gene Expression Omnibus (GEO) database. A total of 449 differentially expressed genes (DEGs) were found to be shared in keloid and AD using the training datasets of GEO (GSE158395 and GSE121212). The hub genes were identified using the protein-protein interaction network and Cytoscape software. 20 of the most significant hub genes were selected, which were mainly involved in the regulation of the inflammatory and immune response. Through two machine learning algorithms of LASSO and SVM-RFE, CCR5 was identified as the most important key gene. Subsequently, upregulated CCR5 gene expression was confirmed in validation GEO datasets (GSE188952 and GSE32924) and clinical samples of keloid and AD. Immune infiltration analysis showed that T helper (Th) 1, 2 and 17 cells were significantly enriched in the microenvironment of both keloid and AD. Positive correlations were found between CCR5 and Th1, Th2 and Th17 cells. Finally, two TFs of CCR5, NR3C2 and YY1, were identified, both of which were downregulated in keloid and AD tissues. Our study firstly reveals that keloid and AD shared common inflammatory and immune pathways. Moreover, CCR5 plays a key role in the pathogenesis association between keloid and AD. The common pathways and key genes may shed light on further mechanism research and targeted therapy, and may provide therapeutic interventions of keloid with AD.
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