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Immune profiling-based targeting of pathogenic T cells with ustekinumab in ANCA-associated glomerulonephritis.
- Source :
- Nature Communications; 9/19/2024, Vol. 15 Issue 1, p1-12, 12p
- Publication Year :
- 2024
-
Abstract
- Antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis is a life-threatening autoimmune disease that often results in kidney failure caused by crescentic glomerulonephritis (GN). To date, treatment of most patients with ANCA-GN relies on non-specific immunosuppressive agents, which may have serious adverse effects and be only partially effective. Here, using spatial and single-cell transcriptome analysis, we characterize inflammatory niches in kidney samples from 34 patients with ANCA-GN and identify proinflammatory, cytokine-producing CD4<superscript>+</superscript> and CD8<superscript>+</superscript> T cells as a pathogenic signature. We then utilize these transcriptomic profiles for digital pharmacology and identify ustekinumab, a monoclonal antibody targeting IL-12 and IL-23, as the strongest therapeutic drug to use. Moreover, four patients with relapsing ANCA-GN are treated with ustekinumab in combination with low-dose cyclophosphamide and steroids, with ustekinumab given subcutaneously (90 mg) at weeks 0, 4, 12, and 24. Patients are followed up for 26 weeks to find this treatment well-tolerated and inducing clinical responses, including improved kidney function and Birmingham Vasculitis Activity Score, in all ANCA-GN patients. Our findings thus suggest that targeting of pathogenic T cells in ANCA-GN patients with ustekinumab might represent a potential approach and warrants further investigation in clinical trials. Antineutrophil cytoplasmic antibody (ANCA) is currently treated with broad-spectrum immune suppressive drugs. Here the authors decipher inflammatory niches in the kidney of patients with ANCA-GN by combining spatial and single-cell transcriptomics to identify ustekinumab as a promising treatment option and successfully treat four ANCA-GN patients. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 15
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- 179739239
- Full Text :
- https://doi.org/10.1038/s41467-024-52525-w