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Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases

Background: Fibrotic skin diseases are characterized by excessive accumulation of the extracellular matrix (ECM) and activation of fibroblasts, leading to a global healthcare burden. However, effective treatments of fibrotic skin diseases remain limited, and their pathological mechanisms require fur...

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Autores principales: Wu, Ting, Jin, Yifan, Chen, Fangqi, Xuan, Xiuyun, Cao, Juanmei, Liang, Yan, Wang, Yuqing, Zhan, Jinshan, Zhao, Mengjie, Huang, Changzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111020/
https://www.ncbi.nlm.nih.gov/pubmed/37082197
http://dx.doi.org/10.3389/fgene.2023.1121728
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author Wu, Ting
Jin, Yifan
Chen, Fangqi
Xuan, Xiuyun
Cao, Juanmei
Liang, Yan
Wang, Yuqing
Zhan, Jinshan
Zhao, Mengjie
Huang, Changzheng
author_facet Wu, Ting
Jin, Yifan
Chen, Fangqi
Xuan, Xiuyun
Cao, Juanmei
Liang, Yan
Wang, Yuqing
Zhan, Jinshan
Zhao, Mengjie
Huang, Changzheng
author_sort Wu, Ting
collection PubMed
description Background: Fibrotic skin diseases are characterized by excessive accumulation of the extracellular matrix (ECM) and activation of fibroblasts, leading to a global healthcare burden. However, effective treatments of fibrotic skin diseases remain limited, and their pathological mechanisms require further investigation. This study aims to investigate the common biomarkers and therapeutic targets in two major fibrotic skin diseases, namely, keloid and systemic sclerosis (SSc), by bioinformatics analysis. Methods: The keloid (GSE92566) and SSc (GSE95065) datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, followed by functional enrichment analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We then constructed a protein–protein interaction (PPI) network for the identification of hub genes. We explored the possibility of further functional enrichment analysis of hub genes on the Metascape, GeneMANIA, and TissueNexus platforms. Transcription factor (TF)–hub gene and miRNA–hub gene networks were established using NetworkAnalyst. We fixed GSE90051 and GSE76855 as the external validation datasets. Student’s t-test and receiver operating characteristic (ROC) curve were used for candidate hub gene validation. Hub gene expression was assessed in vitro by quantitative real-time PCR. Results: A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated. Functional studies revealed that hub genes were predominantly enriched in bone/cartilage-related and collagen-related processes. FOXC1 and miR-335-5p were predicted to be master regulators at both transcriptional and post‐transcriptional levels. Conclusion: COL11A1, COL5A2, ASPN, COL10A1, and COMP may help understand the pathological mechanism of the major fibrotic skin diseases; moreover, FOXC1 and miR-355-5p could build a regulatory network in keloid and SSc.
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spelling pubmed-101110202023-04-19 Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases Wu, Ting Jin, Yifan Chen, Fangqi Xuan, Xiuyun Cao, Juanmei Liang, Yan Wang, Yuqing Zhan, Jinshan Zhao, Mengjie Huang, Changzheng Front Genet Genetics Background: Fibrotic skin diseases are characterized by excessive accumulation of the extracellular matrix (ECM) and activation of fibroblasts, leading to a global healthcare burden. However, effective treatments of fibrotic skin diseases remain limited, and their pathological mechanisms require further investigation. This study aims to investigate the common biomarkers and therapeutic targets in two major fibrotic skin diseases, namely, keloid and systemic sclerosis (SSc), by bioinformatics analysis. Methods: The keloid (GSE92566) and SSc (GSE95065) datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, followed by functional enrichment analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We then constructed a protein–protein interaction (PPI) network for the identification of hub genes. We explored the possibility of further functional enrichment analysis of hub genes on the Metascape, GeneMANIA, and TissueNexus platforms. Transcription factor (TF)–hub gene and miRNA–hub gene networks were established using NetworkAnalyst. We fixed GSE90051 and GSE76855 as the external validation datasets. Student’s t-test and receiver operating characteristic (ROC) curve were used for candidate hub gene validation. Hub gene expression was assessed in vitro by quantitative real-time PCR. Results: A total of 157 overlapping DEGs (ODEGs) were retrieved from the GSE92566 and GSE95065 datasets, and five hub genes (COL11A1, COL5A2, ASPN, COL10A1, and COMP) were identified and validated. Functional studies revealed that hub genes were predominantly enriched in bone/cartilage-related and collagen-related processes. FOXC1 and miR-335-5p were predicted to be master regulators at both transcriptional and post‐transcriptional levels. Conclusion: COL11A1, COL5A2, ASPN, COL10A1, and COMP may help understand the pathological mechanism of the major fibrotic skin diseases; moreover, FOXC1 and miR-355-5p could build a regulatory network in keloid and SSc. Frontiers Media S.A. 2023-04-04 /pmc/articles/PMC10111020/ /pubmed/37082197 http://dx.doi.org/10.3389/fgene.2023.1121728 Text en Copyright © 2023 Wu, Jin, Chen, Xuan, Cao, Liang, Wang, Zhan, Zhao and Huang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Wu, Ting
Jin, Yifan
Chen, Fangqi
Xuan, Xiuyun
Cao, Juanmei
Liang, Yan
Wang, Yuqing
Zhan, Jinshan
Zhao, Mengjie
Huang, Changzheng
Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases
title Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases
title_full Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases
title_fullStr Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases
title_full_unstemmed Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases
title_short Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases
title_sort identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111020/
https://www.ncbi.nlm.nih.gov/pubmed/37082197
http://dx.doi.org/10.3389/fgene.2023.1121728
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