Serum N-Glycosylation in Parkinson’s Disease: A Novel Approach for Potential Alterations
In this study, we present the application of a novel capillary electrophoresis (CE) method in combination with label-free quantitation and support vector machine-based feature selection (support vector machine-estimated recursive feature elimination or SVM-RFE) to identify potential glycan alteratio...
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doaj-185466da233d48da96eabe7e1b7f13652020-11-25T01:09:21ZengMDPI AGMolecules1420-30492019-06-012412222010.3390/molecules24122220molecules24122220Serum N-Glycosylation in Parkinson’s Disease: A Novel Approach for Potential AlterationsCsaba Váradi0Károly Nehéz1Olivér Hornyák2Béla Viskolcz3Jonathan Bones4Faculty of Materials Science and Engineering, Institute of Chemistry, University of Miskolc, 3515 Miskolc, HungaryFaculty of Mechanical Engineering and Information Technology, University of Miskolc, 3515 Miskolc, HungaryFaculty of Mechanical Engineering and Information Technology, University of Miskolc, 3515 Miskolc, HungaryFaculty of Materials Science and Engineering, Institute of Chemistry, University of Miskolc, 3515 Miskolc, HungaryCharacterisation and Comparability Laboratory, NIBRT – The National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co., Dublin A94 X099, IrelandIn this study, we present the application of a novel capillary electrophoresis (CE) method in combination with label-free quantitation and support vector machine-based feature selection (support vector machine-estimated recursive feature elimination or SVM-RFE) to identify potential glycan alterations in Parkinson’s disease. Specific focus was placed on the use of neutral coated capillaries, by a dynamic capillary coating strategy, to ensure stable and repeatable separations without the need of non-mass spectrometry (MS) friendly additives within the separation electrolyte. The developed online dynamic coating strategy was applied to identify serum N-glycosylation by CE-MS/MS in combination with exoglycosidase sequencing. The annotated structures were quantified in 15 controls and 15 Parkinson’s disease patients by label-free quantitation. Lower sialylation and increased fucosylation were found in Parkinson’s disease patients on tri-antennary glycans with 2 and 3 terminal sialic acids. The set of potential glycan alterations was narrowed by a recursive feature elimination algorithm resulting in the efficient classification of male patients.https://www.mdpi.com/1420-3049/24/12/2220glycosylationParkinson’s diseasecapillary electrophoresislabel-free quantitationsupport vector machine |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Csaba Váradi Károly Nehéz Olivér Hornyák Béla Viskolcz Jonathan Bones |
spellingShingle |
Csaba Váradi Károly Nehéz Olivér Hornyák Béla Viskolcz Jonathan Bones Serum N-Glycosylation in Parkinson’s Disease: A Novel Approach for Potential Alterations Molecules glycosylation Parkinson’s disease capillary electrophoresis label-free quantitation support vector machine |
author_facet |
Csaba Váradi Károly Nehéz Olivér Hornyák Béla Viskolcz Jonathan Bones |
author_sort |
Csaba Váradi |
title |
Serum N-Glycosylation in Parkinson’s Disease: A Novel Approach for Potential Alterations |
title_short |
Serum N-Glycosylation in Parkinson’s Disease: A Novel Approach for Potential Alterations |
title_full |
Serum N-Glycosylation in Parkinson’s Disease: A Novel Approach for Potential Alterations |
title_fullStr |
Serum N-Glycosylation in Parkinson’s Disease: A Novel Approach for Potential Alterations |
title_full_unstemmed |
Serum N-Glycosylation in Parkinson’s Disease: A Novel Approach for Potential Alterations |
title_sort |
serum n-glycosylation in parkinson’s disease: a novel approach for potential alterations |
publisher |
MDPI AG |
series |
Molecules |
issn |
1420-3049 |
publishDate |
2019-06-01 |
description |
In this study, we present the application of a novel capillary electrophoresis (CE) method in combination with label-free quantitation and support vector machine-based feature selection (support vector machine-estimated recursive feature elimination or SVM-RFE) to identify potential glycan alterations in Parkinson’s disease. Specific focus was placed on the use of neutral coated capillaries, by a dynamic capillary coating strategy, to ensure stable and repeatable separations without the need of non-mass spectrometry (MS) friendly additives within the separation electrolyte. The developed online dynamic coating strategy was applied to identify serum N-glycosylation by CE-MS/MS in combination with exoglycosidase sequencing. The annotated structures were quantified in 15 controls and 15 Parkinson’s disease patients by label-free quantitation. Lower sialylation and increased fucosylation were found in Parkinson’s disease patients on tri-antennary glycans with 2 and 3 terminal sialic acids. The set of potential glycan alterations was narrowed by a recursive feature elimination algorithm resulting in the efficient classification of male patients. |
topic |
glycosylation Parkinson’s disease capillary electrophoresis label-free quantitation support vector machine |
url |
https://www.mdpi.com/1420-3049/24/12/2220 |
work_keys_str_mv |
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1725179390054105088 |