Autor según el artículo: Correig, X. Masana, L. Yanes, O. Ribalta, J. Rock, E. Plana, N. Vinaixa, M. Heras, M. Rodríguez, M.A. Amigó, N. Mallol, R.
Departamento: Medicina i Cirurgia Enginyeria Electrònica
Autor/es de la URV: CORREIG BLANCHAR, FRANCESC XAVIER MASANA MARÍN, LUIS YANES TORRADO, ÓSCAR RIBALTA VIVES, JOSEP Rock, E. PLANA GIL, NÚRIA VINAIXA CREVILLENT, MARIA HERAS IBAÑEZ, MERCEDES Rodríguez, M.A. Amigó, N. MALLOL PARERA, ROGER
Palabras clave: Cardiovascular risk
Resumen: Determination of lipoprotein particle size and number using advanced lipoprotein tests (ALTs) is of particular importance to improve cardiovascular risk prediction. Here we present the Liposcale test, a novel ALT based on 2D diffusion-ordered 1H NMR spectroscopy. Our method uses diffusion coefficients to provide a direct measure of the mean particle sizes and numbers. Using 177 plasma samples from healthy individuals and the concentration of ApoB and ApoA from isolated lipoprotein fractions, our test showed a stronger correlation between the NMR-derived lipoprotein particle numbers and apolipoprotein concentrations than the LipoProfile ® test commercialized by Liposcience. We also converted LDL particle numbers to ApoB equivalents (milligrams per deciliter) and our test yielded similar values of LDL-ApoB to the LipoProfile ® test (absolute mean bias of 8.5 and 7.4 mg/dl, respectively). In addition, our HDL particle number values were more concordant with the calibrated values determined recently using ion mobility. Finally, principal component analysis distinguished type 2 diabetic patients with and without atherogenic dyslipidemia (AD) on a second cohort of 307 subjects characterized using the Liposcale test (area under the curve = 0.88) and showed concordant relationships between variables explaining AD. Altogether, our method provides reproducible and reliable characterization of lipoprotein particles and it is applicable to pathological states such as AD. Copyright © 2015 by the American Society for Biochemistry and Molecular Biology, Inc.
Grupo de investigación: Signal Processing for Omic Sciences Yanes Lab Unitat de Recerca de Lípids i Arteriosclerosi
Áreas temáticas: Biochemistry and technology Bioquímica y tecnología Bioquímica i biotecnologia
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0022-2275
Identificador del autor: 0000-0002-6902-3054 0000-0002-0789-4954 0000-0003-3695-7157 0000-0002-8879-4719 n/a n/a 0000-0001-9804-0171 n/a n/a n/a n/a
Fecha de alta del registro: 2015-04-28
Página final: 746
Volumen de revista: 56
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2015
Página inicial: 737
Tipo de publicación: Article Artículo Article