Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays

BACKGROUND: An accurate method that can diagnose and predict lupus and its neuropsychiatric manifestations is essential since currently there are no reliable methods. Autoantibodies to a varied panel of antigens in the body are characteristic of lupus. In this study we investigated whether serum aut...

Descripción completa

Detalles Bibliográficos
Autores principales: Williams, Stephanie, Stafford, Phillip, Hoffman, Steven A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065311/
https://www.ncbi.nlm.nih.gov/pubmed/24908187
http://dx.doi.org/10.1186/1471-2172-15-23
_version_ 1782322059820400640
author Williams, Stephanie
Stafford, Phillip
Hoffman, Steven A
author_facet Williams, Stephanie
Stafford, Phillip
Hoffman, Steven A
author_sort Williams, Stephanie
collection PubMed
description BACKGROUND: An accurate method that can diagnose and predict lupus and its neuropsychiatric manifestations is essential since currently there are no reliable methods. Autoantibodies to a varied panel of antigens in the body are characteristic of lupus. In this study we investigated whether serum autoantibody binding patterns on random-sequence peptide microarrays (immunosignaturing) can be used for diagnosing and predicting the onset of lupus and its central nervous system (CNS) manifestations. We also tested the techniques for identifying potentially pathogenic autoantibodies in CNS-Lupus. We used the well-characterized MRL/lpr lupus animal model in two studies as a first step to develop and evaluate future studies in humans. RESULTS: In study one we identified possible diagnostic peptides for both lupus and altered behavior in the forced swim test. When comparing the results of study one to that of study two (carried out in a similar manner), we further identified potential peptides that may be diagnostic and predictive of both lupus and altered behavior in the forced swim test. We also characterized five potentially pathogenic brain-reactive autoantibodies, as well as suggested possible brain targets. CONCLUSIONS: These results indicate that immunosignaturing could predict and diagnose lupus and its CNS manifestations. It can also be used to characterize pathogenic autoantibodies, which may help to better understand the underlying mechanisms of CNS-Lupus.
format Online
Article
Text
id pubmed-4065311
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-40653112014-06-22 Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays Williams, Stephanie Stafford, Phillip Hoffman, Steven A BMC Immunol Research Article BACKGROUND: An accurate method that can diagnose and predict lupus and its neuropsychiatric manifestations is essential since currently there are no reliable methods. Autoantibodies to a varied panel of antigens in the body are characteristic of lupus. In this study we investigated whether serum autoantibody binding patterns on random-sequence peptide microarrays (immunosignaturing) can be used for diagnosing and predicting the onset of lupus and its central nervous system (CNS) manifestations. We also tested the techniques for identifying potentially pathogenic autoantibodies in CNS-Lupus. We used the well-characterized MRL/lpr lupus animal model in two studies as a first step to develop and evaluate future studies in humans. RESULTS: In study one we identified possible diagnostic peptides for both lupus and altered behavior in the forced swim test. When comparing the results of study one to that of study two (carried out in a similar manner), we further identified potential peptides that may be diagnostic and predictive of both lupus and altered behavior in the forced swim test. We also characterized five potentially pathogenic brain-reactive autoantibodies, as well as suggested possible brain targets. CONCLUSIONS: These results indicate that immunosignaturing could predict and diagnose lupus and its CNS manifestations. It can also be used to characterize pathogenic autoantibodies, which may help to better understand the underlying mechanisms of CNS-Lupus. BioMed Central 2014-06-07 /pmc/articles/PMC4065311/ /pubmed/24908187 http://dx.doi.org/10.1186/1471-2172-15-23 Text en Copyright © 2014 Williams et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Williams, Stephanie
Stafford, Phillip
Hoffman, Steven A
Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays
title Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays
title_full Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays
title_fullStr Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays
title_full_unstemmed Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays
title_short Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays
title_sort diagnosis and early detection of cns-sle in mrl/lpr mice using peptide microarrays
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065311/
https://www.ncbi.nlm.nih.gov/pubmed/24908187
http://dx.doi.org/10.1186/1471-2172-15-23
work_keys_str_mv AT williamsstephanie diagnosisandearlydetectionofcnssleinmrllprmiceusingpeptidemicroarrays
AT staffordphillip diagnosisandearlydetectionofcnssleinmrllprmiceusingpeptidemicroarrays
AT hoffmanstevena diagnosisandearlydetectionofcnssleinmrllprmiceusingpeptidemicroarrays