ArticleFrontiers in immunology2022
The commonness in immune infiltration of rheumatoid arthritis and atherosclerosis: Screening for central targets
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 7 citations in OpenAlex.
- Endothelial cells modulate immune cell responses during atherosclerosis.Trends in immunology · 2026Review
- CASP1 as a key autophagy-related gene in atherosclerosis: Identification by bioinformatics analysis and experimental validation.PloS one · 2026Article
- Atherosclerosis in Rheumatoid Arthritis: The Role of NETs and Management.Journal of inflammation research · 2026Review
- Article
- Investigation of hub-shared genes and regulatory mechanisms of rheumatoid arthritis and atherosclerosis.Clinical rheumatology · 2025Article
- Follicular Helper T Cells: Potential Interventional Targets in Atherosclerosis.Journal of immunology research · 2025Review
- Identification of common mechanisms and biomarkers for dermatomyositis and atherosclerosis based on bioinformatics analysis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
- Identification of the shared mechanisms and common biomarkers between Sjögren's syndrome and atherosclerosis using integrated bioinformatics analysis.Frontiers in medicine · 2023Article
- SPARC: a potential target for functional nanomaterials and drugs.Frontiers in molecular biosciences · 2023Review
- Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Although increasing evidence has reported an increased risk of atherosclerosis (AS) in rheumatoid arthritis (RA), the communal molecular mechanism of this phenomenon is still far from being fully elucidated. Hence, this article aimed to explore the pathogenesis of RA complicated with AS. Methods: Based on the strict inclusion/exclusion criteria, four gene datasets were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the communal differentially expressed genes (DEGs) and hub genes, comprehensive bioinformatics analysis, including functional annotation, co-expression analysis, expression validation, drug-gene prediction, and TF-mRNA-miRNA regulatory network construction, was conducted. Moreover, the immune infiltration of RA and AS was analyzed and compared based on the CIBERSORT algorithm, and the correlation between hub genes and infiltrating immune cells was evaluated in RA and AS respectively. Results: A total of 54 upregulated and 12 downregulated communal DEGs were screened between GSE100927 and GSE55457, and functional analysis of these genes indicated that the potential pathogenesis lies in immune terms. After the protein-protein interaction (PPI) network construction, a total of six hub genes ( Conclusions: Our study uncover the communal central genes and commonness in immune infiltration between RA and AS, and the analysis of six hub genes and three immune cells profile might provide new insights into potential pathogenesis therapeutic direction of RA complicated with AS.
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