ReviewClinical rheumatology2026
CAR-T cell therapy in rheumatic diseases: a review article.
Review in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Review: progression and heterogeneity of multiple sources of mesenchymal stromal cells for the treatment of rheumatoid arthritis.Stem cell research & therapy · 2025Pooled it
- Review
- Review
- CAR-T cells targeting CD19 for the treatment of ANCA vasculitis.Clinical kidney journal · 2025Article
- Recent advances in immunological mechanisms and murine disease models of idiopathic inflammatory myopathies.Inflammation and regeneration · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CAR-T cell therapy, a pioneering immune-modulating treatment that was initially designed for hematologic malignancies, is now being considered a potential treatment for autoimmune and rheumatic diseases. This method involves genetically engineering T cells to express chimeric antigen receptors (CARs), allowing them to target specific antigens associated with pathogenic immune cells. The review covers the possibility of CAR-T therapy in the treatment of autoimmune diseases like systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), systemic sclerosis (SSc). The therapy's ability to maintain remission by targeting autoreactive B cells in the course of disease has been an important aspect of studies involving SLE. In refractory RA, CAR-T cells also demonstrate a potential therapeutic modality in selectively killing immune cells driving the disease process. For SSc, CAR-T therapy may represent a novel therapeutic approach because it targets the dysregulated activity of B cells as well as the fibrotic processes that drive the disease pathology. Emerging evidence suggests potential applications in conditions such as Sjögren's syndrome and dermatomyositis. While CAR-T therapy promises accuracy, persistence, and the potential for long-term remission, many problems remain, including the risk of cytokine release syndrome, immune toxicity, and treatment affordability. The development of CAR-Tregs and advanced gene-editing techniques may increase the specificity and safety of therapy. In addition, clinical trials and long-term studies should be conducted to establish the efficacy, safety, and economic feasibility of this innovative approach. This review underscores the transformative potential of CAR-T therapy in the management of rheumatic diseases, particularly in refractory cases. Offering targeted immunomodulation with a minimum of systemic immune suppression, CAR-T therapy could redefine therapeutic paradigms and offer hope for improved outcomes in autoimmune diseases.
Indexed as
Identifiers
40285991What 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.