Ingesta antioxidante en población adulta jovenefecto sobre marcadores inflamatorios y manifestaciones tempranas de síndrome metabólico
- Puchau de Lecea, María Blanca
- José Alfredo Martínez Hernández Director
- María Angeles Zulet Alzórriz Codirectora
Universidad de defensa: Universidad de Navarra
Fecha de defensa: 25 de junio de 2009
- Rosaura Farré Rovira Presidente/a
- María Jesús Moreno Aliaga Secretaria
- Amelia A. Martí del Moral Vocal
- María Jesús Peña Egido Vocal
- Isabel Bondía Pons Vocal
Tipo: Tesis
Resumen
The role of oxidative stress and inflammation in chronic disease development is receiving an increasing attention due to the putative relationships with atherosclerosis, obesity, type 2 diabetes and metabolic syndrome features. In this context, the aim of this research was to assess the potential associations between circulating inflammatory and antioxidant biomarkers and several anthropometrical, biochemical, lifestyle and intake-related variables linked to chronic disease risk in a healthy young adult population. Thus, 207 healthy subjects aged 18-34 years old were included in this trial. Anthropometrical and blood pressure measurements were assessed. Moreover, nail and blood samples were obtained to evaluate biochemical, inflammatory and antioxidant markers. Gene expression analyses were performed on peripheral blood mononuclear cells. Dietary intake was assessed by means of a validated food-frequency questionnaire and a 3-day recall. This study showed that antioxidant intake was inversely associated with inflammatory biomarkers that were positively associated with early metabolic syndrome features. In this context, it was also observed that mRNA expression of DDAH2, involved in ADMA metabolism, was inversely associated with relevant cardiovascular risk-related markers. Interestingly, dietary total antioxidant capacity was calculated and showed to be positively associated with several diet quality indicators, whereas was inversely associated with some inflammatory biomarkers and metabolic syndrome features.