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November 1, 2022Annals of Translational MedicineOpen Access

Exploration of the shared gene signatures and molecular mechanisms between atherosclerosis and rheumatoid arthritis via multi-microarray data analyses

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Authors

HYHongjun YouQZQianqian ZhaoQGQiling Gou

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Overview

Bioinformatics analysis uncovers 67 shared differentially expressed genes in atherosclerosis and rheumatoid arthritis, suggesting potential dual-target therapeutic options.

Key Points

  • To elucidate the shared gene signatures and potential molecular mechanisms through which rheumatoid arthritis accelerates the progression of atherosclerosis.
  • Retrieved transcriptional profiles of rheumatoid arthritis synovial tissues (GSE55235, GSE55457) and atherosclerotic plaques (GSE28829, GSE41571) from the Gene Expression Omnibus database.
  • Identified common differentially expressed genes, constructed protein-protein interaction networks, and validated 16 hub genes against external validation datasets (GSE77298, GSE163154).
  • Conducted GO and KEGG pathway enrichment analyses, established a transcription factor-miRNA coregulatory network, and screened candidate therapeutic drugs targeting hub genes.
  • Identified 67 common differentially expressed genes and 16 hub genes that highlighted complex inflammatory microenvironments and shared signaling pathways between both conditions.
  • Constructed a coregulatory network identifying interactions among six transcription factors, four miRNAs, and the identified hub genes.
  • Predicted candidate therapeutic agents targeting the shared molecular networks, including simvastatin, 5-azacytidine, bisindolylmaleimide, retinoic acid, and verteporfin.

Cite This Study

You et al. (2022) studied this question.

synapsesocial.com/papers/6a1be14fb33628da419cf6bfhttps://doi.org/10.21037/atm-22-4934
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