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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Main Authors: Csaba Váradi, Károly Nehéz, Olivér Hornyák, Béla Viskolcz, Jonathan Bones
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/24/12/2220
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spelling 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 AT csabavaradi serumnglycosylationinparkinsonsdiseaseanovelapproachforpotentialalterations
AT karolynehez serumnglycosylationinparkinsonsdiseaseanovelapproachforpotentialalterations
AT oliverhornyak serumnglycosylationinparkinsonsdiseaseanovelapproachforpotentialalterations
AT belaviskolcz serumnglycosylationinparkinsonsdiseaseanovelapproachforpotentialalterations
AT jonathanbones serumnglycosylationinparkinsonsdiseaseanovelapproachforpotentialalterations
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