ArticleJournal of translational medicine2021
Identification and development of a novel 5-gene diagnostic model based on immune infiltration analysis of osteoarthritis.
Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 37 citations in OpenAlex.
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- Astragaloside IV Alleviates Osteoarthritis by Upregulating ETS2: A Bioinformatics and Experimental Study.Journal of inflammation research · 2026Article
- Cryptochrome-mediated blue light regulates cell lignification via PbbHLH195 activation of the PbNSC in pear fruits.Molecular horticulture · 2025Article
- Comprehensive multiomics analysis identifies PYCARD as a key pyroptosis-related gene in osteoarthritis synovial macrophages.Frontiers in immunology · 2025Article
- Identification and analysis of immune aging related biomarkers in cartilage and meniscus tissues of osteoarthritis.American journal of clinical and experimental immunology · 2025Article
- Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data.Journal of inflammation research · 2025Article
- Identification of immune-related mitochondrial metabolic disorder genes in septic shock using bioinformatics and machine learning.Hereditas · 2024Article
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- Effect of Different Dietary Iron Contents on Liver Transcriptome Characteristics in Wujin Pigs.Animals : an open access journal from MDPI · 2024Article
- Delineation and authentication of ferroptosis genes in ventilator-induced lung injury.BMC medical genomics · 2024Article
- Screening of Biomarkers Associated with Osteoarthritis Aging Genes and Immune Correlation Studies.International journal of general medicine · 2024Article
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- Identification of abdominal aortic aneurysm subtypes based on mechanosensitive genes.PloS one · 2024Article
- VAMP8 suppresses the metastasis via DDX5/β-catenin signal pathway in osteosarcoma.Cancer biology & therapy · 2023Article
- Identification of Novel Diagnostic Biomarkers and Classification Patterns for Osteoarthritis by Analyzing a Specific Set of Genes Related to Inflammation.Inflammation · 2023Article
- Title: Bioinformatic Identification of Genes Involved in Diabetic Nephropathy Fibrosis and their Clinical Relevance.Biochemical genetics · 2023Article
- Cuproptosis-related gene CDKN2A as a molecular target for IPF diagnosis and therapeutics.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023Article
- Identification of novel cell-free RNAs in maternal plasma as preterm biomarkers in combination with placental RNA profiles.Journal of translational medicine · 2023Article
- Identification of Immune-Related Risk Genes in Osteoarthritis Based on Bioinformatics Analysis and Machine Learning.Journal of personalized medicine · 2023Article
- Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOsteoarthritis (OA), which is due to the progressive loss and degeneration of articular cartilage, is the leading cause of disability worldwide. Therefore, it is of great significance to explore OA biomarkers for the prevention, diagnosis, and treatment of OA. METHODS AND MATERIALS: The GSE129147, GSE57218, GSE51588, GSE117999, and GSE98918 datasets with normal and OA samples were downloaded from the Gene Expression Omnibus (GEO) database. The GSE117999 and GSE98918 datasets were integrated, and immune infiltration was evaluated. The differentially expressed genes (DEGs) were analyzed using the limma package in R, and weighted gene co-expression network analysis (WGCNA) was used to explore the co-expression genes and co-expression modules. The co-expression module genes were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. A protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, and hub genes were identified by the degree, MNC, closeness, and MCC algorithms. The hub genes were used to construct a diagnostic model based on support vector machines.
resultsThe Immune Score in the OA samples was significantly higher than in the normal samples, and a total of 2313 DEGs were identified. Through WGCNA, we found that the yellow module was significantly positively correlated with the OA samples and Immune Score and negatively correlated with the normal samples. The 142 DEGs of the yellow module were related to biological processes such as regulation of inflammatory response, positive regulation of inflammatory response, blood vessel morphogenesis, endothelial cell migration, and humoral immune response. The intersections of the genes obtained by the 4 algorithms resulted in 5 final hub genes, and the diagnostic model constructed with these 5 genes showed good performance in the training and validation cohorts.
conclusionsThe 5-gene diagnostic model can be used to diagnose OA and guide clinical decision-making.
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