Exploration of the Regulatory Network of Programmed Cell Death Genes in Rheumatoid Arthritis Based on Blood-Derived...

Programmed cell death (PCD) and circular RNA (circRNA) have been found to involve in the pathogenesis of rheumatoid arthritis (RA). The aim of this study was to explore PCD mechanisms and gene regulatory networks in RA. RA related to circRNA, mRNA and single-cell data sets were obtained from the GEO database. The limma package was used to screen differentially expressed circRNA and differentially expressed genes (DEGs) of RA. The PCD gene set from literature was intersected with the DEGs of RA to obtain PCD-related DEGs of RA. The ENCORI database was used to predict and construct a competing endogenous RNAs (ceRNA) regulatory network to obtain key circRNAs and PCD-related DEGs. Hub genes were identified from the key PCD-related DEGs in the ceRNA regulatory network through LASSO regression, and a diagnostic model was constructed based on these hub genes. The expression of hub genes in various cells and stages was analyzed using single-cell datasets. Finally, the expression of key circRNAs and hub genes in peripheral blood of RA patients and healthy individuals was verified by PCR. In this study, a total of 71 differential circRNAs and 221 DEGs in RA were obtained, and 23 PCD-related DEGs were identified. Through ceRNA regulatory network, three key circRNAs (hsa_circ_0001241, hsa_circ_0089761, and hsa_circ_0001654) and four hub PCD-related DEGs. Among them, TXN and RRAGD were highly expressed, and PARP1 and TXNIP were lowly expressed in RA. Single-cell analysis revealed that these genes were significantly differentially expressed in myeloid cell subpopulation. PCR results indicated that among the 7 key factors, the expression of hsa_circ_0001241, hsa_circ_0089761, TXN, and RRAGD in RA was consistent with the results of bioinformatics analysis. Hsa_circ_0001241, hsa_circ_0089761, TXN and RRAGD may be potential biomarkers for RA, and their interactions may have significant implications for the pathology of RA.