Erin E Gill1, Maren L Smith1, Kristen M Gibson2,3, Kimberly A Morishita4,5, Amy H Y Lee1, Reza Falsafi1, Jinko Graham6, Dirk Foell7, Susanne M Benseler8, Colin J Ross2,9, Raashid A Luqmani10, David A Cabral4,5, Robert E W Hancock1,11,12, Kelly L Brown3,4,12. 1. Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada. 2. Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada. 3. BC Children's Hospital Research Institute, Vancouver, BC, Canada. 4. Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada. 5. BC Children's Hospital, Vancouver, BC, Canada. 6. Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, Canada. 7. Department of Pediatric Rheumatology and Immunology, University Hospital Muenster, Muenster, Germany. 8. Department of Pediatrics, Alberta Children's Hospital, Calgary, AB, Canada. 9. Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada. 10. Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom. 11. Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, BC, Canada. 12. Centre for Blood Research, University of British Columbia, Vancouver, BC, Canada.
Abstract
Objectives: Chronic primary vasculitis describes a group of complex and rare diseases that are characterized by blood vessel inflammation. Classification of vasculitis subtypes is based predominantly on the size of the involved vessels and clinical phenotype. There is a recognized need to improve classification, especially for small-to-medium sized vessel vasculitides, that, ideally, is based on the underlying biology with a view to informing treatment. Methods: We performed RNA-Seq on blood samples from children (n = 41) and from adults (n = 11) with small-to-medium sized vessel vasculitis, and used unsupervised hierarchical clustering of gene expression patterns in combination with clinical metadata to define disease subtypes. Results: Differential gene expression at the time of diagnosis separated patients into two primary endotypes that differed in the expression of ~3,800 genes in children, and ~1,600 genes in adults. These endotypes were also present during disease flares, and both adult and pediatric endotypes could be discriminated based on the expression of just 20 differentially expressed genes. Endotypes were associated with distinct biological processes, namely neutrophil degranulation and T cell receptor signaling. Conclusions: Phenotypically similar subsets of small-to-medium sized vessel vasculitis may have different mechanistic drivers involving innate vs. adaptive immune processes. Discovery of these differentiating immune features provides a mechanistic-based alternative for subclassification of vasculitis.
Objectives: Chronic primary vasculitis describes a group of complex and rare diseases that are characterized by blood vessel inflammation. Classification of vasculitis subtypes is based predominantly on the size of the involved vessels and clinical phenotype. There is a recognized need to improve classification, especially for small-to-medium sized vessel vasculitides, that, ideally, is based on the underlying biology with a view to informing treatment. Methods: We performed RNA-Seq on blood samples from children (n = 41) and from adults (n = 11) with small-to-medium sized vessel vasculitis, and used unsupervised hierarchical clustering of gene expression patterns in combination with clinical metadata to define disease subtypes. Results: Differential gene expression at the time of diagnosis separated patients into two primary endotypes that differed in the expression of ~3,800 genes in children, and ~1,600 genes in adults. These endotypes were also present during disease flares, and both adult and pediatric endotypes could be discriminated based on the expression of just 20 differentially expressed genes. Endotypes were associated with distinct biological processes, namely neutrophil degranulation and T cell receptor signaling. Conclusions: Phenotypically similar subsets of small-to-medium sized vessel vasculitis may have different mechanistic drivers involving innate vs. adaptive immune processes. Discovery of these differentiating immune features provides a mechanistic-based alternative for subclassification of vasculitis.
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