Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis
PURPOSE: Osteoarthritis (OA) is the most common chronic joint disorder in elderly individuals. This study aimed to identify immune-related diagnostic gene signatures for OA. METHODS: First, we performed single-sample gene set enrichment analysis (ssGSEA) to evaluate the infiltration of immune cells...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728929/ https://www.ncbi.nlm.nih.gov/pubmed/35002293 http://dx.doi.org/10.2147/IJGM.S342286 |
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author | Tang, Chengyang Liu, Qiang Zhang, Yaxuan Liu, Guihu Shen, Guangsi |
author_facet | Tang, Chengyang Liu, Qiang Zhang, Yaxuan Liu, Guihu Shen, Guangsi |
author_sort | Tang, Chengyang |
collection | PubMed |
description | PURPOSE: Osteoarthritis (OA) is the most common chronic joint disorder in elderly individuals. This study aimed to identify immune-related diagnostic gene signatures for OA. METHODS: First, we performed single-sample gene set enrichment analysis (ssGSEA) to evaluate the infiltration of immune cells in OA expression data from the Gene Expression Omnibus (GEO) database. Then, weighted gene coexpression network analysis (WGCNA) was performed to identify hub modules and genes related to immune cell types with significant infiltration. Finally, we screened diagnostic markers from the differentially expressed genes (DEGs) in both the OA group and the hub module using least absolute shrinkage and selection operator (LASSO) logistic regression. RESULTS: Immune filtration analysis showed that immature B cells, mast cells, natural killer T cells, myeloid-derived suppressor cells (MDSCs), and type 2 T helper cells were dysregulated in OA samples. In WGCNA, a total of 120 genes were selected as hub genes associated with mast cell infiltration.The enrichment analysis showed that spliceosome, positive regulation of cell migration, and response to mechanical stimulus were mainly involved. The LASSO regression model for the GSE117999 dataset revealed 15 DEGs for predicting OA. Finally, two genes were obtained by intersection for further investigation. CONCLUSION: Cold-inducible RNA-binding protein (CIRBP) and transient receptor potential vanilloid 4 (TRPV4) were identified as diagnostic biomarkers for OA, and both were positively correlated with mast cell infiltration. |
format | Online Article Text |
id | pubmed-8728929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-87289292022-01-06 Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis Tang, Chengyang Liu, Qiang Zhang, Yaxuan Liu, Guihu Shen, Guangsi Int J Gen Med Original Research PURPOSE: Osteoarthritis (OA) is the most common chronic joint disorder in elderly individuals. This study aimed to identify immune-related diagnostic gene signatures for OA. METHODS: First, we performed single-sample gene set enrichment analysis (ssGSEA) to evaluate the infiltration of immune cells in OA expression data from the Gene Expression Omnibus (GEO) database. Then, weighted gene coexpression network analysis (WGCNA) was performed to identify hub modules and genes related to immune cell types with significant infiltration. Finally, we screened diagnostic markers from the differentially expressed genes (DEGs) in both the OA group and the hub module using least absolute shrinkage and selection operator (LASSO) logistic regression. RESULTS: Immune filtration analysis showed that immature B cells, mast cells, natural killer T cells, myeloid-derived suppressor cells (MDSCs), and type 2 T helper cells were dysregulated in OA samples. In WGCNA, a total of 120 genes were selected as hub genes associated with mast cell infiltration.The enrichment analysis showed that spliceosome, positive regulation of cell migration, and response to mechanical stimulus were mainly involved. The LASSO regression model for the GSE117999 dataset revealed 15 DEGs for predicting OA. Finally, two genes were obtained by intersection for further investigation. CONCLUSION: Cold-inducible RNA-binding protein (CIRBP) and transient receptor potential vanilloid 4 (TRPV4) were identified as diagnostic biomarkers for OA, and both were positively correlated with mast cell infiltration. Dove 2021-12-22 /pmc/articles/PMC8728929/ /pubmed/35002293 http://dx.doi.org/10.2147/IJGM.S342286 Text en © 2021 Tang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Tang, Chengyang Liu, Qiang Zhang, Yaxuan Liu, Guihu Shen, Guangsi Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis |
title | Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis |
title_full | Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis |
title_fullStr | Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis |
title_full_unstemmed | Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis |
title_short | Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis |
title_sort | identification of cirbp and trpv4 as immune-related diagnostic biomarkers in osteoarthritis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728929/ https://www.ncbi.nlm.nih.gov/pubmed/35002293 http://dx.doi.org/10.2147/IJGM.S342286 |
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