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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/70956

    Título
    A gene-environment interaction analysis of plasma selenium with prevalent and incident diabetes: The Hortega study
    Autor
    Galán Chilet, Inmaculada
    Grau Pérez, María
    De Marco, Griselda
    Guallar, Eliseo
    Martín Escudero, Juan CarlosAutoridad UVA
    Domínguez Lucas, Alejandro
    González Manzano, Isabel
    López Izquierdo, RaúlAutoridad UVA
    Briongos Figuero, Laisa SocorroAutoridad UVA Orcid
    Redón Mas, Josep
    Chaves, Felipe Javier
    Téllez Plaza, Maria
    Año del Documento
    2017
    Editorial
    Elsevier
    Documento Fuente
    Redox Biol. 2017 Aug;12:798-805
    Zusammenfassung
    Background: Selenium and single-nucleotide-polymorphisms in selenoprotein genes have been associated to diabetes. However, the interaction of selenium with genetic variation in diabetes and oxidative stress-related genes has not been evaluated as a potential determinant of diabetes risk. Methods: We evaluated the cross-sectional and prospective associations of plasma selenium concentrations with type 2 diabetes, and the interaction of selenium concentrations with genetic variation in candidate polymorphisms, in a representative sample of 1452 men and women aged 18-85 years from Spain. Results: The geometric mean of plasma selenium levels in the study sample was 84.2µg/L. 120 participants had diabetes at baseline. Among diabetes-free participants who were not lost during the follow-up (N=1234), 75 developed diabetes over time. The multivariable adjusted odds ratios (95% confidence interval) for diabetes prevalence comparing the second and third to the first tertiles of plasma selenium levels were 1.80 (1.03, 3.14) and 1.97 (1.14, 3.41), respectively. The corresponding hazard ratios (95% CI) for diabetes incidence were 1.76 (0.96, 3.22) and 1.80 (0.98, 3.31), respectively. In addition, we observed significant interactions between selenium and polymorphisms in PPARGC1A, and in genes encoding mitochondrial proteins, such as BCS1L and SDHA, and suggestive interactions of selenium with other genes related to selenoproteins and redox metabolism. Conclusions: Plasma selenium was positively associated with prevalent and incident diabetes. While the statistical interactions of selenium with polymorphisms involved in regulation of redox and insulin signaling pathways provide biological plausibility to the positive associations of selenium with diabetes, further research is needed to elucidate the causal pathways underlying these associations.
    ISSN
    2213-2317
    Revisión por pares
    SI
    DOI
    10.1016/j.redox.2017.04.022
    Propietario de los Derechos
    Elsevier
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/70956
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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