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Constructing a competing endogenous RNA network for osteoarthritis

BACKGROUND: Osteoarthritis (OA) is one of the most common diseases in elderly people; however, the correlation between molecular alterations and the occurrence and progression of OA are still not well understood. We conducted this study to investigate the molecular changes in OA via the competing en...

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Autores principales: Hua, Shu-Liang, Liang, Jun-Qing, Hu, Guo-Fang, Yang, Xi-Ren, Fang, Da-Lang, Lu, Ji-Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904995/
https://www.ncbi.nlm.nih.gov/pubmed/35284549
http://dx.doi.org/10.21037/atm-21-6711
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author Hua, Shu-Liang
Liang, Jun-Qing
Hu, Guo-Fang
Yang, Xi-Ren
Fang, Da-Lang
Lu, Ji-Li
author_facet Hua, Shu-Liang
Liang, Jun-Qing
Hu, Guo-Fang
Yang, Xi-Ren
Fang, Da-Lang
Lu, Ji-Li
author_sort Hua, Shu-Liang
collection PubMed
description BACKGROUND: Osteoarthritis (OA) is one of the most common diseases in elderly people; however, the correlation between molecular alterations and the occurrence and progression of OA are still not well understood. We conducted this study to investigate the molecular changes in OA via the competing endogenous ribonucleic acid (ceRNA) network. METHODS: We downloaded the messenger RNA (mRNA) data set, GSE48556, the microRNA (miRNA) data set, GSE105027, and the long non-coding (lncRNA) data set, GSE126963 from the Gene Expression Omnibus (GEO) database, and examined the differentially expressed genes (DEGs) in these data sets. Further, we constructed a ceRNA network of the differentially expressed miRNAs, mRNAs, and lncRNAs. To determine the biological functions of the ceRNA network, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses. Finally, we conducted an immune cell infiltration analysisusing single-sample gene set enrichment analysis to examine the abundance of immune cells in healthy and OA patients, and compared the infiltration of 28 immune cells between the healthy and OA samples. We also analyzed the relationship between the abundance of immune cells and mRNA expression levels in the ceRNA network. RESULTS: Ultimately hsa-mir-425-3p, dual specificity phosphatase 1, and 24 lncRNAs were identified in the ceRNA network. The functional enrichment analyses showed that these lncRNAs, miRNAs, and mRNAs are involved in various significant biological process, such as the regulation of leukocyte migration, Mitogen-Activated Protein (MAP) kinase tyrosine/serine/threonine phosphatase activity, the interleukin-17 signaling pathway, the tumor necrosis factor signaling pathway, and osteoclast differentiation, and can also have a strong effect on immune cell infiltration. CONCLUSIONS: The dual-specificity phosphatase 1-specific ceRNA network can be used as a diagnostic tool to assess the progression of OA patients.
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spelling pubmed-89049952022-03-10 Constructing a competing endogenous RNA network for osteoarthritis Hua, Shu-Liang Liang, Jun-Qing Hu, Guo-Fang Yang, Xi-Ren Fang, Da-Lang Lu, Ji-Li Ann Transl Med Original Article BACKGROUND: Osteoarthritis (OA) is one of the most common diseases in elderly people; however, the correlation between molecular alterations and the occurrence and progression of OA are still not well understood. We conducted this study to investigate the molecular changes in OA via the competing endogenous ribonucleic acid (ceRNA) network. METHODS: We downloaded the messenger RNA (mRNA) data set, GSE48556, the microRNA (miRNA) data set, GSE105027, and the long non-coding (lncRNA) data set, GSE126963 from the Gene Expression Omnibus (GEO) database, and examined the differentially expressed genes (DEGs) in these data sets. Further, we constructed a ceRNA network of the differentially expressed miRNAs, mRNAs, and lncRNAs. To determine the biological functions of the ceRNA network, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses. Finally, we conducted an immune cell infiltration analysisusing single-sample gene set enrichment analysis to examine the abundance of immune cells in healthy and OA patients, and compared the infiltration of 28 immune cells between the healthy and OA samples. We also analyzed the relationship between the abundance of immune cells and mRNA expression levels in the ceRNA network. RESULTS: Ultimately hsa-mir-425-3p, dual specificity phosphatase 1, and 24 lncRNAs were identified in the ceRNA network. The functional enrichment analyses showed that these lncRNAs, miRNAs, and mRNAs are involved in various significant biological process, such as the regulation of leukocyte migration, Mitogen-Activated Protein (MAP) kinase tyrosine/serine/threonine phosphatase activity, the interleukin-17 signaling pathway, the tumor necrosis factor signaling pathway, and osteoclast differentiation, and can also have a strong effect on immune cell infiltration. CONCLUSIONS: The dual-specificity phosphatase 1-specific ceRNA network can be used as a diagnostic tool to assess the progression of OA patients. AME Publishing Company 2022-02 /pmc/articles/PMC8904995/ /pubmed/35284549 http://dx.doi.org/10.21037/atm-21-6711 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Hua, Shu-Liang
Liang, Jun-Qing
Hu, Guo-Fang
Yang, Xi-Ren
Fang, Da-Lang
Lu, Ji-Li
Constructing a competing endogenous RNA network for osteoarthritis
title Constructing a competing endogenous RNA network for osteoarthritis
title_full Constructing a competing endogenous RNA network for osteoarthritis
title_fullStr Constructing a competing endogenous RNA network for osteoarthritis
title_full_unstemmed Constructing a competing endogenous RNA network for osteoarthritis
title_short Constructing a competing endogenous RNA network for osteoarthritis
title_sort constructing a competing endogenous rna network for osteoarthritis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904995/
https://www.ncbi.nlm.nih.gov/pubmed/35284549
http://dx.doi.org/10.21037/atm-21-6711
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