ArticleAnnals of translational medicine2022
Constructing a competing endogenous RNA network for osteoarthritis.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 7 citations in OpenAlex.
- Hyperbaric oxygen therapy for knee osteoarthritis: treatment mechanism, potential advantages, and limitations.Medical gas research · 2026Review
- Senescence-Associated Checkpoint Gene Dysregulation in Established Osteoarthritis: Integrated Transcriptomic Analysis and In Vitro Evaluation of CDK6 and WEE1.Biomedicines · 2026Article
- Exosomal LINC01106 From PRP-Treated ADSCs Alleviates Chondrocyte Inflammatory Injury by Sponging miR-34a-5p to Upregulate SIRT1 Expression.Cartilage · 2026Article
- Article
- Multi-omics analysis and validation of autophagy-related diagnostic biomarker in osteoarthritis.Annals of medicine · 2025Article
- Biological disturbance of MiR-425 and its application prospects in cardiovascular diseases.Frontiers in cell and developmental biology · 2025Review
- Analysis of LINC00472 as a biomarker of osteoarthritis and its clinical value.Archives of rheumatology · 2024Article
- DNM3OS/miR-127-5p/CDH11, activates Wnt3a/β-catenin/LEF-1 pathway to form a positive feedback and aggravate spine facet joint osteoarthritis.Non-coding RNA research · 2024Article
- Identification of Hub Genes and Immune Infiltration in Coronary Artery Disease: A Risk Prediction Model.Journal of inflammation research · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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