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Anti-Proteinase 3 Anti-Neutrophil Cytoplasm Autoantibodies Recapitulate Systemic Vasculitis in Mice with a Humanized Immune System

Overview of attention for article published in PLOS ONE, January 2012
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Title
Anti-Proteinase 3 Anti-Neutrophil Cytoplasm Autoantibodies Recapitulate Systemic Vasculitis in Mice with a Humanized Immune System
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0028626
Pubmed ID
Authors

Mark A. Little, Bahjat Al-Ani, Shuyu Ren, Hamad Al-Nuaimi, Maurilo Leite, Charles E. Alpers, Caroline O. Savage, Jeremy S. Duffield

Abstract

Evidence is lacking for direct pathogenicity of human anti-proteinase-3 (PR3) antibodies in development of systemic vasculitis and granulomatosis with polyangiitis (GPA, Wegener's granulomatosis). Progress in study of these antibodies in rodents has been hampered by lack of PR3 expression on murine neutrophils, and by different Fc-receptor affinities for IgG across species. Therefore, we tested whether human anti-PR3 antibodies can induce acute vasculitis in mice with a human immune system. Chimeric mice were generated by injecting human haematopoietic stem cells into irradiated NOD-scid-IL2Rγ⁻/⁻ mice. Matched chimera mice were treated with human IgG from patients with: anti-PR3 positive renal and lung vasculitis; patients with non-vasculitic renal disease; or healthy controls. Six-days later, 39% of anti-PR3 treated mice had haematuria, compared with none of controls. There was punctate bleeding on the surface of lungs of anti-PR3 treated animals, with histological evidence of vasculitis and haemorrhage. Anti-PR3 treated mice had mild pauci-immune proliferative glomerulonephritis, with infiltration of human and mouse leukocytes. In 3 mice (17%) more severe glomerular injury was present. There were no glomerular changes in controls. Human IgG from patients with anti-PR3 autoantibodies is therefore pathogenic. This model of anti-PR3 antibody-mediated vasculitis may be useful in dissecting mechanisms of microvascular injury.

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Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 19%
Student > Ph. D. Student 12 15%
Other 10 12%
Student > Master 10 12%
Student > Bachelor 9 11%
Other 14 17%
Unknown 11 14%
Readers by discipline Count As %
Medicine and Dentistry 44 54%
Agricultural and Biological Sciences 10 12%
Immunology and Microbiology 7 9%
Business, Management and Accounting 2 2%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 3 4%
Unknown 14 17%