dc.creator | Gkoutzourelas A., Barmakoudi M., Bogdanos D.P. | en |
dc.date.accessioned | 2023-01-31T07:43:11Z | |
dc.date.available | 2023-01-31T07:43:11Z | |
dc.date.issued | 2020 | |
dc.identifier | 10.31138/MJR.31.1.50 | |
dc.identifier.issn | 24593516 | |
dc.identifier.uri | http://hdl.handle.net/11615/72527 | |
dc.description.abstract | A recent bioinformatic analysis revealing dominant B cell epitopes of systemic sclerosis-specific autoantibodies, including anti-centromere B, anti-topoisomerase I and anti-fibrillarin, has demonstrated the existence of several in silico antigenic mimics of pathogens that could act as triggers of the respective dominant autoepitopes. Based on those findings, the aim of the present study was to use a more comprehensive bioinformatic analysis. We demonstrated the presence of a plethora of novel microbial mimics, unnoticed by the studies so far conducted, which share remarkable amino acid similarities with the respective autoantigenic epitopes. This bioinformatic approach coupled by in vitro testing of the homologous self/non-self-mimics in serum samples from patients with systemic sclerosis may provide novel evidence of immunological cross-reactivity, implicating currently ignored or overlooked pathogens, which may indeed play a role in the induction of SSc-specific autoantibodies and assist efforts to understand the pathogenesis of this enigmatic disease. © Gkoutzourelas A, Barmakoudi M, Bogdanos DP. | en |
dc.language.iso | en | en |
dc.source | Mediterranean Journal of Rheumatology | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096447309&doi=10.31138%2fMJR.31.1.50&partnerID=40&md5=dfe7cc8dceff627f8add3711a3ec847f | |
dc.subject | autoantibody | en |
dc.subject | autoantigen | en |
dc.subject | centromere antibody | en |
dc.subject | centromere protein B | en |
dc.subject | DNA topoisomerase | en |
dc.subject | epitope | en |
dc.subject | fibrillarin | en |
dc.subject | Acinetobacter baumannii | en |
dc.subject | Article | en |
dc.subject | B lymphocyte | en |
dc.subject | Bacillus | en |
dc.subject | Bacillus paralicheniformis | en |
dc.subject | bioinformatics | en |
dc.subject | blood sampling | en |
dc.subject | computer model | en |
dc.subject | cross reaction | en |
dc.subject | DNA virus | en |
dc.subject | human | en |
dc.subject | Human immunodeficiency virus 1 | en |
dc.subject | in vitro study | en |
dc.subject | Klebsiella pneumoniae | en |
dc.subject | Mastadenovirus | en |
dc.subject | molecular mimicry | en |
dc.subject | Paenibacillus | en |
dc.subject | pathogenesis | en |
dc.subject | Picornaviridae | en |
dc.subject | sequence alignment | en |
dc.subject | systemic sclerosis | en |
dc.subject | Greek Rheumatology Society and Professional Association of Rheumatologists | en |
dc.title | A bioinformatics analysis reveals novel pathogens as molecular mimicry triggers of systemic sclerosis | en |
dc.type | journalArticle | en |