This study aims to investigate the expression differences of peripheral blood mononuclear cells (PBMCs) in patients with elderly rheumatoid arthritis (ERA). Differentially expressed genes (DEGs) of PBMCs between young patients with RA (RA_Y) and elderly patients with RA (RA_A) were identified by RNA sequencing using the DESeq2 package, followed by bioinformatics analysis. The overlapped targets of the current DEGs and proteomic differentially expressed proteins (another set of unpublished data) were identified and further validated. The bioinformatics analysis revealed significant transcriptomic heterogeneity between RA_A and RA_Y. A total of 348 upregulated and 363 downregulated DEGs were identified. Gene functional enrichment analysis indicated that the DEGs, which represented senescence phenotype for patients with ERA, were enriched in pathways such as Phosphatidylinositol3 kinase/AKT serine-threonine protein kinase (PI3K/Akt) signaling, Mitogen-activated protein kinases (MAPK) signaling, toll-like receptor family, neutrophil degranulation, and immune-related pathways. Gene set enrichment analysis further confirmed the activation of humoral immune response pathways in RA_A. Quantitative polymerase chain reaction validated the expression of five representative DEGs such as SPTA1 , SPTB , VNN1 , TNXB , and KRT1 in PBMCs of patients with ERA. Patients with ERA have significant senescence phenotype differences versus the young patients. The DEGs identified may facilitate exploring the biomarkers of senescence in RA.
Keyphrases
- rheumatoid arthritis
- disease activity
- bioinformatics analysis
- protein kinase
- immune response
- toll like receptor
- ankylosing spondylitis
- pi k akt
- signaling pathway
- single cell
- middle aged
- interstitial lung disease
- poor prognosis
- endothelial cells
- dna damage
- systemic lupus erythematosus
- end stage renal disease
- genome wide
- inflammatory response
- community dwelling
- newly diagnosed
- machine learning
- oxidative stress
- rna seq
- gene expression
- high resolution
- chronic kidney disease
- electronic health record
- transcription factor
- peritoneal dialysis
- big data
- cross sectional