ArticleProteomics. Clinical applications2022
Quantitative proteomics approach reveals novel biomarkers and pathological mechanism of keloid.
Article in Proteomics. Clinical applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 15 citations in OpenAlex.
- Article
- Machine Learning Identifies FLNA as a Key Molecular Target Regulating Neuronal Apoptosis after Spinal Cord Injury.Journal of molecular neuroscience : MN · 2025Article
- ALKBH5 Inhibits YTHDF2-m6A-Mediated Degradation of RCN1 mRNA to Promote Keloid Formation by Activating IRE1α-XBP1-Mediated ER Stress.Journal of cosmetic dermatology · 2025Article
- Genetic analysis of platelet-derived growth factor receptor-like gene (Archives animal breeding · 2024Article
- Hydrogel Loaded with Components for Therapeutic Applications in Hypertrophic Scars and Keloids.International journal of nanomedicine · 2024Review
- Advances and future directions in keloid research: Pathogenesis, diagnosis and personalized treatment strategies.World journal of clinical cases · 2023Article
- Bioinformatics analysis and identification of dysregulated POSTN in the pathogenesis of keloid.International wound journal · 2023Article
- Serum Rcn3 level is a potential diagnostic biomarker for connective tissue disease-associated interstitial lung disease and reflects the severity of pulmonary function.BMC pulmonary medicine · 2023Observational
- Silencing DTX3L Inhibits the Progression of Cervical Carcinoma by Regulating PI3K/AKT/mTOR Signaling Pathway.International journal of molecular sciences · 2023Article
- Quantitative proteomics approach reveals novel biomarkers and pathological mechanism of keloid.Proteomics. Clinical applications · 2022Article
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundKeloid is a pathological skin scar formation with complex and unclear molecular pathology mechanism. Novel biomarkers and associated mechanisms are needed to improve current therapies.
objectivesTo identify novel biomarkers and underlying pathological mechanisms of keloids.
methodsSix pairs of keloid scar tissues and corresponding normal skin tissues were quantitatively analyzed by a high-resolution label-free mass spectrometry-based proteomics approach. Differential protein expression data was further analyzed by a comprehensive bioinformatics approach to identify novel biomarkers and mechanistic pathways for keloid formation. Candidate biomarkers were validated experimentally.
resultsIn total, 1359 proteins were identified by proteomic analysis. Of these, 206 proteins exhibited a significant difference in expression between keloid scar and normal skin tissues. RCN3 and CALU were significantly upregulated in keloids. RCN1 and PDGFRL were uniquely expressed in keloids. Pathway analysis suggested that the XBP1-mediated unfolded protein response (UPR) pathway was involved in keloid formation. Moreover, a PDGFRL centric gene coexpression network was constructed to illustrate its function in skin. CONCLUSIONS AND CLINICAL RELEVANCE: Our study proposed four novel biomarkers and highlighted the role of XBP1-mediated UPR pathway in the pathology of keloids. It provided novel biological insights that contribute to develop novel therapeutic strategies for keloids.
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