Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools

In this work, an untargeted metabolomic approach based on sensitive analysis by on-line solid-phase extraction capillary electrophoresis mass spectrometry (SPE-CE-MS) in combination with multivariate data analysis is proposed as an efficient method for the identification of biomarkers of Huntington&...

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Autores: Pont Villanueva, Laura, Benavente Moreno, Fernando J. (Julián), Jaumot Soler, Joaquim, Tauler Ferré, Romà, Alberch i Vié, Jordi, 1959-, Ginés Padrós, Silvia, Barbosa Torralbo, José, Sanz Nebot, María Victoria
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2016
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/113749
Acceso en línea:https://hdl.handle.net/2445/113749
Access Level:acceso abierto
Palabra clave:Marcadors bioquímics
Espectrometria de masses
Gestors de dades
Corea de Huntington
Biochemical markers
Mass spectrometry
Data warehousing
Huntington's chorea
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spelling Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis toolsPont Villanueva, LauraBenavente Moreno, Fernando J. (Julián)Jaumot Soler, JoaquimTauler Ferré, RomàAlberch i Vié, Jordi, 1959-Ginés Padrós, SilviaBarbosa Torralbo, JoséSanz Nebot, María VictoriaMarcadors bioquímicsEspectrometria de massesGestors de dadesCorea de HuntingtonBiochemical markersMass spectrometryData warehousingHuntington's choreaIn this work, an untargeted metabolomic approach based on sensitive analysis by on-line solid-phase extraction capillary electrophoresis mass spectrometry (SPE-CE-MS) in combination with multivariate data analysis is proposed as an efficient method for the identification of biomarkers of Huntington's disease (HD) progression in plasma. For this purpose, plasma samples from wild type (wt) and HD (R6/1) mice of different ages (8, 12 and 30 weeks), were analysed by C18-SPE-CE-MS in order to obtain the characteristic electrophoretic profiles of low molecular mass compounds. Then, multivariate curve resolution alternating least squares (MCR-ALS) was applied to the multiple full scan MS data sets. This strategy permitted the resolution of a large number of metabolites being characterised by their electrophoretic peaks and their corresponding mass spectra. A total number of 29 compounds were relevant to discriminate between wt and HD plasma samples, as well as to follow-up the HD progression. The intracellular signalling was found to be the most affected metabolic pathway in HD mice after 12 weeks of birth, when mice already showed motor coordination deficiencies and cognitive decline. This fact agreed with the atrophy and dysfunction of specific neurons, loss of several types of receptors and changed expression of neurotransmitters.Wiley-VCH2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/113749Articles publicats en revistes (Enginyeria Química i Química Analítica)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1002/elps.201500378Electrophoresis, 2016, vol. 37, num. 5-6, p. 795-808https://doi.org/10.1002/elps.201500378info:eu-repo/grantAgreement/EC/FP7/320737(c) Wiley-VCH, 2016info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1137492026-05-27T06:46:51Z
dc.title.none.fl_str_mv Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools
title Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools
spellingShingle Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools
Pont Villanueva, Laura
Marcadors bioquímics
Espectrometria de masses
Gestors de dades
Corea de Huntington
Biochemical markers
Mass spectrometry
Data warehousing
Huntington's chorea
title_short Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools
title_full Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools
title_fullStr Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools
title_full_unstemmed Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools
title_sort Metabolic profiling for the identification of Huntington biomarkers by on-line solid-phase extraction capillary electrophoresis mass spectrometry combined with advanced data analysis tools
dc.creator.none.fl_str_mv Pont Villanueva, Laura
Benavente Moreno, Fernando J. (Julián)
Jaumot Soler, Joaquim
Tauler Ferré, Romà
Alberch i Vié, Jordi, 1959-
Ginés Padrós, Silvia
Barbosa Torralbo, José
Sanz Nebot, María Victoria
author Pont Villanueva, Laura
author_facet Pont Villanueva, Laura
Benavente Moreno, Fernando J. (Julián)
Jaumot Soler, Joaquim
Tauler Ferré, Romà
Alberch i Vié, Jordi, 1959-
Ginés Padrós, Silvia
Barbosa Torralbo, José
Sanz Nebot, María Victoria
author_role author
author2 Benavente Moreno, Fernando J. (Julián)
Jaumot Soler, Joaquim
Tauler Ferré, Romà
Alberch i Vié, Jordi, 1959-
Ginés Padrós, Silvia
Barbosa Torralbo, José
Sanz Nebot, María Victoria
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Marcadors bioquímics
Espectrometria de masses
Gestors de dades
Corea de Huntington
Biochemical markers
Mass spectrometry
Data warehousing
Huntington's chorea
topic Marcadors bioquímics
Espectrometria de masses
Gestors de dades
Corea de Huntington
Biochemical markers
Mass spectrometry
Data warehousing
Huntington's chorea
description In this work, an untargeted metabolomic approach based on sensitive analysis by on-line solid-phase extraction capillary electrophoresis mass spectrometry (SPE-CE-MS) in combination with multivariate data analysis is proposed as an efficient method for the identification of biomarkers of Huntington's disease (HD) progression in plasma. For this purpose, plasma samples from wild type (wt) and HD (R6/1) mice of different ages (8, 12 and 30 weeks), were analysed by C18-SPE-CE-MS in order to obtain the characteristic electrophoretic profiles of low molecular mass compounds. Then, multivariate curve resolution alternating least squares (MCR-ALS) was applied to the multiple full scan MS data sets. This strategy permitted the resolution of a large number of metabolites being characterised by their electrophoretic peaks and their corresponding mass spectra. A total number of 29 compounds were relevant to discriminate between wt and HD plasma samples, as well as to follow-up the HD progression. The intracellular signalling was found to be the most affected metabolic pathway in HD mice after 12 weeks of birth, when mice already showed motor coordination deficiencies and cognitive decline. This fact agreed with the atrophy and dysfunction of specific neurons, loss of several types of receptors and changed expression of neurotransmitters.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/113749
url https://hdl.handle.net/2445/113749
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1002/elps.201500378
Electrophoresis, 2016, vol. 37, num. 5-6, p. 795-808
https://doi.org/10.1002/elps.201500378
info:eu-repo/grantAgreement/EC/FP7/320737
dc.rights.none.fl_str_mv (c) Wiley-VCH, 2016
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Wiley-VCH, 2016
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley-VCH
publisher.none.fl_str_mv Wiley-VCH
dc.source.none.fl_str_mv Articles publicats en revistes (Enginyeria Química i Química Analítica)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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