ArticleNature communications2024
Automated multi-scale computational pathotyping (AMSCP) of inflamed synovial tissue.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Immune-mediated rheumatoid arthritis: from single-cell genomics to new therapies.Nature immunology · 2026Review
- Article
- Differential Neutrophil and Eosinophil Infiltrations in the Sub-Lining Compartment of Rheumatoid Versus Osteoarthritic Synovium.Mediterranean journal of rheumatology · 2025Article
- Analysis of Cardiovascular Risk Factors in Patients with Psoriasis: A Cross-Sectional Study.Mediterranean journal of rheumatology · 2025Article
- Targeted nanoliposomes for precision rheumatoid arthritis therapy: a review on mechanisms andDrug delivery · 2025Review
- Article
- Synovial infiltrating immune cell heterogeneity associated with synovitis severity and systemic disease activity in rheumatoid arthritis: a cross-sectional study.Clinical rheumatology · 2025Article
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
Rheumatoid arthritis (RA) is a complex immune-mediated inflammatory disorder in which patients suffer from inflammatory-erosive arthritis. Recent advances on histopathology heterogeneity of RA synovial tissue revealed three distinct phenotypes based on cellular composition (pauci-immune, diffuse and lymphoid), suggesting that distinct etiologies warrant specific targeted therapy which motivates a need for cost effective phenotyping tools in preclinical and clinical settings. To this end, we developed an automated multi-scale computational pathotyping (AMSCP) pipeline for both human and mouse synovial tissue with two distinct components that can be leveraged together or independently: (1) segmentation of different tissue types to characterize tissue-level changes, and (2) cell type classification within each tissue compartment that assesses change across disease states. Here, we demonstrate the efficacy, efficiency, and robustness of the AMSCP pipeline as well as the ability to discover novel phenotypes. Taken together, we find AMSCP to be a valuable cost-effective method for both pre-clinical and clinical research.
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Registered trials
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