ReviewCells2022
3D Cell Culture as Tools to Characterize Rheumatoid Arthritis Signaling and Development of New Treatments.
Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Cross-presentation of citrullinated antigens drives cytotoxic CD8bioRxiv : the preprint server for biology · 2026Article
- Synovial organoids: From fundamental construction to groundbreaking applications in arthritic disorders.Journal of orthopaedic translation · 2025Review
- Synovial Organoids and Cell Culture Models: An Ideal Platform for Exploring Traditional Chinese Medicine in Rheumatoid Arthritis.ACS omega · 2025Review
- Immune Organoids: A Review of Their Applications in Cancer and Autoimmune Disease Immunotherapy.Current issues in molecular biology · 2025Review
- Integrating natural products with modern medicine in the treatment of gouty arthritis: a review.Inflammopharmacology · 2025Review
- Citrullinated Autoantigen-Specific T and B Lymphocytes in Rheumatoid Arthritis: Focus on Follicular T Helper Cells and Expansion by Coculture.ACR open rheumatology · 2025Article
- 3D Culture of MSCs for Clinical Application.Bioengineering (Basel, Switzerland) · 2024Review
- Emerging Landscape ofACS pharmacology & translational science · 2024Review
- The promise of Synovial Joint-on-a-Chip in rheumatoid arthritis.Frontiers in immunology · 2024Review
- Cell Cultures as a Versatile Tool in the Research and Treatment of Autoimmune Connective Tissue Diseases.Cells · 2023Review
- Article
- Large-scale high-throughput 3D culture, imaging, and analysis of cell spheroids using microchip-enhanced light-sheet microscopy.Biomedical optics express · 2023Article
- A novel 3D spheroid model of rheumatoid arthritis synovial tissue incorporating fibroblasts, endothelial cells, and macrophages.Frontiers in immunology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rheumatoid arthritis (RA) is one of the most common autoimmune disorders affecting 0.5-1% of the population worldwide. As a disease of multifactorial etiology, its constant study has made it possible to unravel the pathophysiological processes that cause the illness. However, efficient and validated disease models are necessary to continue the search for new disease-modulating drugs. Technologies, such as 3D cell culture and organ-on-a-chip, have contributed to accelerating the prospecting of new therapeutic molecules and even helping to elucidate hitherto unknown aspects of the pathogenesis of multiple diseases. These technologies, where medicine and biotechnology converge, can be applied to understand RA. This review discusses the critical elements of RA pathophysiology and current treatment strategies. Next, we discuss 3D cell culture and apply these methodologies for rheumatological diseases and selected models for RA. Finally, we summarize the application of 3D cell culture for RA treatment.
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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.