English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/102028
Compartir / Impacto:
Add this article to your Mendeley library MendeleyBASE
 |  Ver citas en Google académico
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar otros formatos: Exportar EndNote (RIS)Exportar bibText (RIS)Exportar csv (RIS)

A new mathematical model to quantify and characterize the response to pro- and anti-oxidants of the copper-induced oxidation of LDL assay. A tool for examination of potential preventive compounds and clinical risk prediction

Autor Prieto, Miguel Ángel ; Vázquez, José Antonio ; Murado García, Miguel Anxo
Palabras clave Copper-induced LDL oxidation assay
Mathematical model
Pro- and anti-oxidant effects
Coefficients to measure compound activity
Risk prediction
Fecha de publicación 2014
Citación Food Research International 66: 501-513 (2014)
ResumenThe copper-induced oxidation of low density lipoprotein (LDL) particles represents a particularly suitable method for studying, both in vitro and in vivo, the effects of a number of alimentary, environmental and lifestyle factors on the mechanism of a biochemical process involved in many oxidative stress-related diseases, such as atherosclerosis, which affects around 50% of the occidental people. The available data about the role of pro- and anti-oxidants in LDL dynamics are abundant, but often, only semi-quantitative conclusions can be achieved. The lack of detailed algebraic models, the concomitant difficulties for assessing the statistical consistence of the results and designing definite experiments, and a certain shortage in characterizing criteria are some of the causes hindering the advances in a field which is per se very complex. The approach we propose describes, in an algebraically explicit way, the complete and generally biphasic time-course of the diene formation – as well as the peroxide profile – in LDL particles, including the separate or joint effects of any series of pro- and anti-oxidant concentrations. The model was tested using experimental results from other authors under different conditions, and very accurate and statistically consistent fittings were obtained in all the cases. Results, which enabled rigorous and detailed comparisons between LDL responses to oxidation modifiers, suggest an alternative criteria for the prediction of risks of occurrence of stress diseases. Thus, the basis of more complex multivariable models is provided. In all experimental data used, the calculated parameters were always statistically significant (Student's t-test, α = 0.05), the equations were consistent (Fisher's F-test) and the goodness of fit coefficient of determination was higher than 0.99.
Descripción 13 páginas, 7 figuras, 3 tablas
Versión del editorhttp://dx.doi.org/10.1016/j.foodres.2014.07.046
URI http://hdl.handle.net/10261/102028
Aparece en las colecciones: (IIM) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
New_model_quantify_Prieto_2014.pdf2,14 MBAdobe PDFVista previa
Mostrar el registro completo

NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.