ArticleFrontiers in immunology2022
Bioinformatics and System Biology Approach to Identify the Influences of COVID-19 on Rheumatoid Arthritis.
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 19 papers.
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19 citing papers in PubMed, 26 citations in OpenAlex.
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- Amyotrophic Lateral Sclerosis and Parkinson's Disease: Brain Tissue Transcriptome Analysis Reveals Interactions.Molecular neurobiology · 2025Review
- A Review of Connecting Bioinformatic Techniques to Rheumatoid Arthritis and its Associated Comorbidities.Current rheumatology reviews · 2025Review
- Multi-omics analysis uncovered systemic lupus erythematosus and COVID-19 crosstalk.Molecular medicine (Cambridge, Mass.) · 2024Article
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- Bioinformatics and system biology approach to identify the influences among COVID-19, influenza, and HIV on the regulation of gene expression.Frontiers in immunology · 2024Article
- Knowledge mapping of COVID-19 and autoimmune diseases: a visual and bibliometric analysis.Clinical and experimental medicine · 2023Article
- Identification of 3 key genes as novel diagnostic and therapeutic targets for OA and COVID-19.Frontiers in immunology · 2023Article
- Identifying hub genes and common biological pathways between COVID-19 and benign prostatic hyperplasia by machine learning algorithms.Frontiers in immunology · 2023Article
- Gene crosstalk between COVID-19 and preeclampsia revealed by blood transcriptome analysis.Frontiers in immunology · 2023Article
- Bioinformatics and system biology approach to identify the influences among COVID-19, ARDS and sepsis.Frontiers in immunology · 2023Article
- Blood transcriptome analysis revealed the crosstalk between COVID-19 and HIV.Frontiers in immunology · 2022Article
- Bioinformatics and systems-biology analysis to determine the effects of Coronavirus disease 2019 on patients with allergic asthma.Frontiers in immunology · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Severe coronavirus disease 2019 (COVID -19) has led to a rapid increase in mortality worldwide. Rheumatoid arthritis (RA) was a high-risk factor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, whereas the molecular mechanisms underlying RA and CVOID-19 are not well understood. The objectives of this study were to analyze potential molecular mechanisms and identify potential drugs for the treatment of COVID-19 and RA using bioinformatics and a systems biology approach. Methods: Two Differentially expressed genes (DEGs) sets extracted from GSE171110 and GSE1775544 datasets were intersected to generate common DEGs, which were used for functional enrichment, pathway analysis, and candidate drugs analysis. Results: A total of 103 common DEGs were identified in the two datasets between RA and COVID-19. A protein-protein interaction (PPI) was constructed using various combinatorial statistical methods and bioinformatics tools. Subsequently, hub genes and essential modules were identified from the PPI network. In addition, we performed functional analysis and pathway analysis under ontological conditions and found that there was common association between RA and progression of COVID-19 infection. Finally, transcription factor-gene interactions, protein-drug interactions, and DEGs-miRNAs coregulatory networks with common DEGs were also identified in the datasets. Conclusion: We successfully identified the top 10 hub genes that could serve as novel targeted therapy for COVID-19 and screened out some potential drugs useful for COVID-19 patients with RA.
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