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.
abstract: 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 analyzed 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 datasets. This strategy permitted the resolution of a large number of metabolites being characterized 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 signaling 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.
authors.affiliation: Departament de Química Analítica, Facultat de Química, Universitat de Barcelona, Barcelona, Spain.
authors.forename: Laura
authors.initials: L
authors.lastname: Pont
authors.affiliation: Departament de Química Analítica, Facultat de Química, Universitat de Barcelona, Barcelona, Spain.
authors.forename: Fernando
authors.initials: F
authors.lastname: Benavente
authors.affiliation: Department of Environmental Chemistry, IDAEA-CSIC, Barcelona, Spain.
authors.forename: Joaquim
authors.initials: J
authors.lastname: Jaumot
authors.affiliation: Department of Environmental Chemistry, IDAEA-CSIC, Barcelona, Spain.
authors.forename: Romà
authors.initials: R
authors.lastname: Tauler
authors.affiliation: Departament de Biologia Cel·lular, Immunologia i Neurociències, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain.|Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.|Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.
authors.forename: Jordi
authors.initials: J
authors.lastname: Alberch
authors.affiliation: Departament de Biologia Cel·lular, Immunologia i Neurociències, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain.|Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.|Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.
authors.forename: Silvia
authors.initials: S
authors.lastname: Ginés
authors.affiliation: Departament de Química Analítica, Facultat de Química, Universitat de Barcelona, Barcelona, Spain.
authors.forename: José
authors.initials: J
authors.lastname: Barbosa
authors.affiliation: Departament de Química Analítica, Facultat de Química, Universitat de Barcelona, Barcelona, Spain.
authors.forename: Victoria
authors.initials: V
authors.lastname: Sanz-Nebot
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000097:blood* / Q000378:metabolism; D004195:Disease Models, Animal; D019075:Electrophoresis, Capillary / Q000379:methods*; D006801:Humans; D006816:Huntington Disease / Q000097:blood* / Q000378:metabolism; D013058:Mass Spectrometry / Q000379:methods; D055442:Metabolome; D055432:Metabolomics / Q000379:methods*; D051379:Mice; D008822:Mice, Transgenic; D052616:Solid Phase Extraction / Q000379:methods
chemical_list: D015415:Biomarkers
keywords: Biomarker; Huntington; Metabolomics; Multivariate data analysis; SPE-CE-MS