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This study investigated the potential genetic variants of rheumatoid arthritis (RA) using whole-exome sequencing (WES) and evaluated the disease course using T cell receptor (TCR) repertoire analysis. Fourteen patients with RA and five healthy controls (HCs) were enrolled. For the RA patient group, only treatment-naïve patients were recruited, and data were collected at baseline as well as at 6 and 12 months following the initiation of the disease-modifying antirheumatic drug (DMARD) treatment. Laboratory data and disease parameters were also collected. Genetic variants were detected using WES, and the diversity of the TCR repertoire was assessed using the Shannon-Wiener diversity index. While some variants were detected by WES, their clinical significance should be confirmed by further studies. The diversity of the TCR repertoire in the RA group was lower than that in the HCs; however, after DMARD treatment, it increased significantly. The diversity was negatively correlated with the laboratory findings and disease measures with statistical significance. Variants with a potential for RA pathogenesis were identified, and the clinical significance of the TCR repertoire was evaluated in Korean patients with RA. Further studies are required to confirm the findings of the present study.
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http://dx.doi.org/10.3390/diagnostics14050529 | DOI Listing |
Nucleic Acids Res
September 2025
Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.
T-cell receptor (TCR) repertoire sequencing allows researchers to analyze millions of TCRs, providing unparalleled precision in understanding immune responses and enabling broad applications. However, existing TCR-related databases are based on a limited number of samples. Here, we present TCRdb2.
View Article and Find Full Text PDFImmune Netw
August 2025
Department of Biological Science, Ajou University, Suwon 16499, Korea.
The intestinal immune system is adapted to maintain constant interactions with environmental stimuli without causing inflammation. The recognition of Ags derived from microbes and diet can induce Treg or effector T cell responses through dynamic regulatory mechanisms, significantly impacting host health and disease. Although several examples of Ag-specific T cell responses to microbial or dietary Ags have been reported, our understanding of the full range of gut T cell responses remains highly limited.
View Article and Find Full Text PDFOsteoarthritis Cartilage
September 2025
Immunology, Immunopathology, Immunotherapy I3 Lab, Inserm UMRS 959, Sorbonne Université, Paris, France; Biotherapy (CIC-BTi) and Inflammation-Immunopathology-Biotherapy Department (i2B), Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France. Electronic address: encarnita.mariotti@sorbonne-u
Objective: The aim of this systematic literature review was to provide a comprehensive overview of T-Cell Receptor (TCR) mediated immunity research in osteoarthritis (OA).
Design: The search was conducted in April 2024 on PubMed and Embase, following PRISMA 2020. Search was primarily based on MeSH terms, free-text was used when required.
Sci Immunol
September 2025
Laboratory of Epigenetics and Immunology, West China Institute of Women and Children's Health, NHC Key Laboratory of Chronobiology, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, China.
Naïve T cells are maintained in a homeostatic state to preserve a stable T cell pool with diverse T cell receptor (TCR) repertoires, ensuring preparedness for priming. However, the underlying mechanisms controlling naïve T cell homeostasis and priming remain unclear. Leveraging a machine learning-based functional genetic screen, we identified () as the top factor responsible for naïve T cell homeostasis.
View Article and Find Full Text PDFbioRxiv
August 2025
Laboratory of Mucosal Immunology, Rockefeller University, New York, NY 10063, USA.
Pathogen-specific CD4 T cells undergo dynamic expansion and contraction during infection, ultimately generating memory clones that shape the subsequent immune responses. However, the influence of distinct tissue environments on the differentiation and clonal selection of polyclonal T cells remains unclear, primarily because of the technical challenges in tracking these cells in vivo. To address this question, we generated Tracking Recently Activated Cell Kinetics (TRACK) mice, a dual-recombinase fate-mapping system that enables precise spatial and temporal labeling of recently activated CD4 T cells.
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