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Identification of two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients
BACKGROUND: Optic neuritis (ON) can occur as an isolated episode or will develop to multiple sclerosis (MS) a chronic autoimmune disease. What predicts ON progression to MS remains poorly understood. METHODS: We characterised the antibody epitope repertoire in three independent clinical cohorts (dis...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841498/ https://www.ncbi.nlm.nih.gov/pubmed/33493797 http://dx.doi.org/10.1016/j.ebiom.2021.103211 |
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author | Sadam, Helle Pihlak, Arno Jaago, Mariliis Pupina, Nadežda Rähni, Annika Toots, Maarja Vaheri, Antti Nieminen, Janne K. Siuko, Mika Tienari, Pentti J. Palm, Kaia |
author_facet | Sadam, Helle Pihlak, Arno Jaago, Mariliis Pupina, Nadežda Rähni, Annika Toots, Maarja Vaheri, Antti Nieminen, Janne K. Siuko, Mika Tienari, Pentti J. Palm, Kaia |
author_sort | Sadam, Helle |
collection | PubMed |
description | BACKGROUND: Optic neuritis (ON) can occur as an isolated episode or will develop to multiple sclerosis (MS) a chronic autoimmune disease. What predicts ON progression to MS remains poorly understood. METHODS: We characterised the antibody epitope repertoire in three independent clinical cohorts (discovery (n = 62), validation (n = 20) and external cohort (n = 421)) using mimotope variation analysis (MVA), a next generation phage display technology to identify epitopes that associate with prognosis of ON. FINDINGS: We observed distinct epitope profiles for ON, MS and the controls, whereas epitope repertoires of sera and CSF were highly similar. Two unique and highly immunogenic epitopes A and B were detected in subjects with ON progressing to MS. These epitopes A and B were strongly associated with herpesviral antigens (VCA p18 of Epstein-Barr virus (EBV); gB of Cytomegalovirus (CMV)). ROC addressed 75% of MS subjects with ON onset correctly (at 75% sensitivity and 74.22% specificity) based on the two-epitope biomarker analysis. INTERPRETATION: This is the first report on epitope diagnostics for MS employing the unbiased strategy of MVA for identification of novel immunological features of disease. FUNDING: The Estonian Ministry of Education, The Estonian Research Council (PRG573, PRG805 and PSG691), H2020-MSCA-RISE-2016 (SZTEST), H2020-NMBP-2017 (PANBIORA), Helsinki University Hospital, Mary and Georg C. Ehrnrooth, Finnish Eye, Sigrid Jusélius and Magnus Ehrnrooth Foundations. |
format | Online Article Text |
id | pubmed-7841498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78414982021-02-02 Identification of two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients Sadam, Helle Pihlak, Arno Jaago, Mariliis Pupina, Nadežda Rähni, Annika Toots, Maarja Vaheri, Antti Nieminen, Janne K. Siuko, Mika Tienari, Pentti J. Palm, Kaia EBioMedicine Research Paper BACKGROUND: Optic neuritis (ON) can occur as an isolated episode or will develop to multiple sclerosis (MS) a chronic autoimmune disease. What predicts ON progression to MS remains poorly understood. METHODS: We characterised the antibody epitope repertoire in three independent clinical cohorts (discovery (n = 62), validation (n = 20) and external cohort (n = 421)) using mimotope variation analysis (MVA), a next generation phage display technology to identify epitopes that associate with prognosis of ON. FINDINGS: We observed distinct epitope profiles for ON, MS and the controls, whereas epitope repertoires of sera and CSF were highly similar. Two unique and highly immunogenic epitopes A and B were detected in subjects with ON progressing to MS. These epitopes A and B were strongly associated with herpesviral antigens (VCA p18 of Epstein-Barr virus (EBV); gB of Cytomegalovirus (CMV)). ROC addressed 75% of MS subjects with ON onset correctly (at 75% sensitivity and 74.22% specificity) based on the two-epitope biomarker analysis. INTERPRETATION: This is the first report on epitope diagnostics for MS employing the unbiased strategy of MVA for identification of novel immunological features of disease. FUNDING: The Estonian Ministry of Education, The Estonian Research Council (PRG573, PRG805 and PSG691), H2020-MSCA-RISE-2016 (SZTEST), H2020-NMBP-2017 (PANBIORA), Helsinki University Hospital, Mary and Georg C. Ehrnrooth, Finnish Eye, Sigrid Jusélius and Magnus Ehrnrooth Foundations. Elsevier 2021-01-23 /pmc/articles/PMC7841498/ /pubmed/33493797 http://dx.doi.org/10.1016/j.ebiom.2021.103211 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Sadam, Helle Pihlak, Arno Jaago, Mariliis Pupina, Nadežda Rähni, Annika Toots, Maarja Vaheri, Antti Nieminen, Janne K. Siuko, Mika Tienari, Pentti J. Palm, Kaia Identification of two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients |
title | Identification of two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients |
title_full | Identification of two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients |
title_fullStr | Identification of two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients |
title_full_unstemmed | Identification of two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients |
title_short | Identification of two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients |
title_sort | identification of two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841498/ https://www.ncbi.nlm.nih.gov/pubmed/33493797 http://dx.doi.org/10.1016/j.ebiom.2021.103211 |
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