ArticleFrontiers in immunology2024
Identification of inflammation-related biomarkers in keloids.
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 8 papers.
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Who cites it
8 citing papers in PubMed, 6 citations in OpenAlex.
- Immune cells in keloids: mechanisms and potential treatments.Annals of medicine · 2026Review
- Angiotensin II as a Novel Biomarker in the Assessment and Prediction of Post-burn Hypertrophic Scarring: A Propensity Score-Matched Cohort Study.Aesthetic plastic surgery · 2026Article
- Identification of Epigenetic Regulator-Associated Genes in Keloid Disease Through Integrated Bulk and Single-Cell Transcriptomics With RT-qPCR Validation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- USP53 regulates the AMPK pathway by deubiquitinating TJP2 to control the keloid-derived fibroblasts proliferation, invasion, and telomerase activity.Molecular and cellular biochemistry · 2026Article
- Screening and Preliminary Validation of Parthanatos-Related Key Genes in Asthma Using Transcriptomic and Machine Learning Approaches.Journal of inflammation research · 2026Article
- 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
- Regulatory role of POSTN in keloid pathogenesis.Molecular medicine 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
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The relationship between inflammation-related genes (IRGs) and keloid disease (KD) is currently unclear. The aim of this study was to identify a new set of inflammation-related biomarkers in KD. Methods: GSE145725 and GSE7890 datasets were used in this study. A list of 3026 IRGs was obtained from the Molecular Signatures Database. Differentially expressed inflammation-related genes (DEGs) were obtained by taking the intersection of DEGs between KD and control samples and the list of IRGs. Candidate genes were selected using least absolute shrinkage and selection operator (LASSO) regression analysis. Candidate genes with consistent expression differences between KD and control in both GSE145725 and GSE7890 datasets were screened as biomarkers. An alignment diagram was constructed and validated, and in silico immune infiltration analysis and drug prediction were performed. Finally, RT-qPCR was performed on KD samples to analyze the expression of the identified biomarkers. Results: A total of 889 DEGs were identified from the GSE145725 dataset, 169 of which were IRGs. Three candidate genes ( Conclusion: This study provides a new perspective to study the relationship between IRGs and KD.
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Registered trials
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