Prediction of molecular mimicry between antigens from Leishmania sp. and human: Implications for autoimmune response in systemic lupus erythematosus.
Antigens
Autoimmunity
Epitope
In silico
Infections
Molecular mimicry
Journal
Microbial pathogenesis
ISSN: 1096-1208
Titre abrégé: Microb Pathog
Pays: England
ID NLM: 8606191
Informations de publication
Date de publication:
Nov 2020
Nov 2020
Historique:
received:
08
06
2020
revised:
05
08
2020
accepted:
06
08
2020
pubmed:
23
8
2020
medline:
16
6
2021
entrez:
23
8
2020
Statut:
ppublish
Résumé
Pathogens and humans share an intrinsic relation related to molecular mimicry in their antigens. Interactions between immune system and pathogenic antigens result in a production of antibodies that could protect against infection, but develop autoreactive responses mediated by autoantibodies that react to pathogenic and human antigens because they share epitopes. In this study, a pipeline of bioinformatic tools was used to explore the repertory of autoantigens implicated in the develop of Systemic Lupus Erythematosus and their homologous in Leishmania sp. With this, we screened and selected 33 molecular mimicry candidates. In 17 autoantigens from lupus was possible to perform epitope prediction and was found that, at least one potential cross epitope. Some of autoantigens with molecular mimicry were Aquaporin 4, nuclear autoantigens such as: Ubiquitin-related modifier 1 and Small nuclear ribonucleoprotein Sm. Also, mitochondrial, and ribosomal autoantigens were found to share molecular mimicry with antigens from Leishmania sp. In conclusion, this is the first study that provide evidence of molecular mimicry between antigens from Leishmania sp. and human. Implications for the develop of SLE and clinical manifestation deserve more study.
Identifiants
pubmed: 32827635
pii: S0882-4010(20)30810-X
doi: 10.1016/j.micpath.2020.104444
pii:
doi:
Substances chimiques
Antigens, Protozoan
0
Autoantigens
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
104444Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.