Oxidative stress prediction: A preliminary approach using a response surface based technique

Sierra Arregui, Marta ; Bragg-Gonzalo, Lorena ; Grasa Orús, Jorge (Universidad de Zaragoza) ; Muñoz Gonzalvo, María Jesús (Universidad de Zaragoza) ; González Ibáñez, David (Universidad de Zaragoza) ; Miana-Mena, Francisco Javier (Universidad de Zaragoza)

Resumen: A response surface was built to predict the lipid peroxidation level, generated in an iron-ascorbate in vitro model, of any organ, which is correlated with the oxidative stress injury in biological membranes. Oxidative stress studies are numerous, usually performed on laboratory animals. However, ethical concerns require validated methods to reduce the use of laboratory animals. The response surface described here is a validated method to replace animals. Tissue samples of rabbit liver, kidney, heart, skeletal muscle and brain were oxidized with different concentrations of FeCl3 (0.1 to 8 mM) and ascorbate (0.1 mM), during different periods of time (0 to 90 min) at 37 °C. Experimental data obtained, with lipid content and antioxidant activity of each organ, allowed constructing a multidimensional surface capable of predicting, by interpolation, the lipid peroxidation level of any organ defined by its antioxidant activity and fat content, when exposed to different oxidant conditions. To check the predictive potential of the technique, two more experiments were carried out. First, in vitro oxidation data from lung tissue were collected. Second, the antioxidant capacity of kidney homogenates was modified by adding melatonin. Then, the response surface generated could predict lipid peroxidation levels produced in these new situations. The potential of this technique could be reinforced using collaborative databases to reduce the number of animals in experimental procedures.

Idioma: Inglés

DOI: 10.1016/j.tiv.2017.10.016

Año: 2018

Publicado en: TOXICOLOGY IN VITRO 46 (2018), 273-283
ISSN: 0887-2333

Factor impacto JCR: 3.067 (2018)

Categ. JCR: TOXICOLOGY rank: 36 / 93 = 0.387 (2018) - Q2 - T2

Factor impacto SCIMAGO: 0.895 - Toxicology (Q1) - Medicine (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/UZ/JIUZ-2014-BIO-05

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Fisiología (Dpto. Farmacología y Fisiolog.)
Área (Departamento): Área Farmacología (Dpto. Farmacología y Fisiolog.)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)