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Linked help from bacterial proteins drives autoantibody production in small vessel vasculitis.

Oliveira, DBG (2018) Linked help from bacterial proteins drives autoantibody production in small vessel vasculitis. Med Hypotheses, 112. pp. 24-26. ISSN 1532-2777 https://doi.org/10.1016/j.mehy.2018.01.008
SGUL Authors: Oliveira, David Benjamin Graeme

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Abstract

The small vessel vasculitides granulomatosis with polyangiitis (GPA) and microscopic polyangiitis are associated with autoantibodies to neutrophil cytoplasm antigens (ANCA), principally proteinase-3 (PR3) and myeloperoxidase (MPO). There is an association between GPA and nasal carriage of Staphylococcus aureus. The recent finding that S. aureus produces proteins that bind tightly to and block the function of both PR3 and MPO suggests a mechanism for ANCA formation. The bacterial protein-autoantigen conjugate is recognised by B cells with ANCA specificity, internalised, and the bacterial protein processed and presented to T cells with specificity for bacterial peptides. The T cell can then provide help to the B cell, allowing class switching, affinity maturation and the production of pathogenic ANCA. This mechanism predicts that T cells with this specificity will be found in patients, and that the bacterial protein-autoantigen conjugate will be particularly efficient at eliciting ANCA production.

Item Type: Article
Additional Information: © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: 11 Medical And Health Sciences
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: Med Hypotheses
ISSN: 1532-2777
Language: eng
Dates:
DateEvent
March 2018Published
17 January 2018Published Online
14 January 2018Accepted
Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
PubMed ID: 29447930
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/109639
Publisher's version: https://doi.org/10.1016/j.mehy.2018.01.008

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