ArticleBiochemical genetics2025
Exploration of the Regulatory Network of Programmed Cell Death Genes in Rheumatoid Arthritis Based on Blood-Derived circRNA Transcriptome Information and Single-Cell Multi-omics Data.
Article in Biochemical genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- PARP1 as a novel therapeutic and diagnostic tool in autoimmune rheumatic diseases: a systematic literature review.Rheumatology international · 2026Pooled it
- Unveiling new therapeutic horizons in rheumatoid arthritis: an In-depth exploration of circular RNAs derived from plasma exosomes.Journal of orthopaedic surgery and research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
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.
Indexed as
Identifiers
39656402What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.