ArticleScientific reports2015
Quantitative and qualitative characterization of expanded CD4+ T cell clones in rheumatoid arthritis patients.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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
28 citing papers in PubMed, 77 citations in OpenAlex.
- Exploring inflammatory signatures in arthritic joint biopsies with Spatial Transcriptomics.Scientific reports · 2019Trial
- Big Data Science on T Cell Receptor-mediated Immune Regulation.JMA journal · 2025Review
- Antigen-driven T cell responses in rheumatic diseases: insights from T cell receptor repertoire studies.Nature reviews. Rheumatology · 2025Review
- Review
- T-Cell Senescence in Human Metabolic Diseases.Diabetes & metabolism journal · 2024Review
- Clonal associations between lymphocyte subsets and functional states in rheumatoid arthritis synovium.Nature communications · 2024Article
- Seven-chain adaptive immune receptor repertoire analysis in rheumatoid arthritis reveals novel features associated with disease and clinically relevant phenotypes.Genome biology · 2024Article
- Characteristics of the (Auto)Reactive T Cells in Rheumatoid Arthritis According to the Immune Epitope Database.International journal of molecular sciences · 2023Review
- Advanced methods and novel biomarkers in autoimmune diseases ‑ a review of the recent years progress in systemic lupus erythematosus.Frontiers in medicine · 2023Review
- Automated clustering reveals CD4Frontiers in immunology · 2023Article
- Antigen-specificity measurements are the key to understanding T cell responses.Frontiers in immunology · 2023Review
- Making inroads to precision medicine for the treatment of autoimmune diseases: Harnessing genomic studies to better diagnose and treat complex disorders.Cambridge prisms. Precision medicine · 2023Review
- Diverse Mucosal-Associated Invariant TCR Usage in HIV Infection.ImmunoHorizons · 2021Article
- Approaching Shared Pathophysiology in Immune-Mediated Diseases through Functional Genomics.Genes · 2020Review
- T cell receptor sequencing in autoimmunity.Journal of life sciences (Westlake Village, Calif.) · 2020Article
- Adult-Onset Anti-Citrullinated Peptide Antibody-Negative Destructive Rheumatoid Arthritis Is Characterized by a Disease-Specific CD8+ T Lymphocyte Signature.Frontiers in immunology · 2020Article
- Synovial fluid CD69Clinical & translational immunology · 2020Article
- Multimodal single-cell approaches shed light on T cell heterogeneity.Current opinion in immunology · 2019Review
- SAMD9 is a (epi-) genetically regulated anti-inflammatory factor activated in RA patients.Molecular and cellular biochemistry · 2019Article
- Characterization of T-Cell Receptor Repertoire in Patients with Rheumatoid Arthritis Receiving Biologic Therapies.Disease markers · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rheumatoid arthritis (RA) is an autoimmune destructive arthritis associated with CD4(+) T cell-mediated immunity. Although expanded CD4(+) T cell clones (ECs) has already been confirmed, the detailed characteristics of ECs have not been elucidated in RA. Using combination of a single-cell analysis and next-generation sequencing (NGS) in TCR repertoire analysis, we here revealed the detailed nature of ECs by examining peripheral blood (PB) from 5 RA patients and synovium from 1 RA patient. When we intensively investigated the single-cell transcriptome of the most expanded clones in memory CD4(+) T cells (memory-mECs) in RA-PB, senescence-related transcripts were up-regulated, indicating circulating ECs were constantly stimulated. Tracking of the transcriptome shift within the same memory-mECs between PB and the synovium revealed the augmentations in senescence-related gene expression and the up-regulation of synovium-homing chemokine receptors in the synovium. Our in-depth characterization of ECs in RA successfully demonstrated the presence of the specific immunological selection pressure, which determines the phenotype of ECs. Moreover, transcriptome tracking added novel aspects to the underlying sequential immune processes. Our approach may provide new insights into the pathophysiology of RA.
Indexed as
Identifiers
What 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.