Plasma selenium levels and oxidative stress biomarkers: A gene-environment interaction population-based study


Por: Galan-Chilet I, Tellez-Plaza M, Guallar E, De Marco G, Lopez-Izquierdo R, Gonzalez-Manzano I, Carmen Tormos M, Martin-Nuñez GM, Rojo-Martinez G, Saez GT, Martín-Escudero JC, Redon J and Javier Chaves F

Publicada: 1 sep 2014
Resumen:
The role of selenium exposure in preventing chronic disease is controversial, especially in selenium-repleted populations. At high concentrations, selenium exposure may increase oxidative stress. Studies evaluating the interaction of genetic variation in genes involved in oxidative stress pathways and selenium are scarce. We evaluated the cross-sectional association of plasma selenium concentrations with oxidative stress levels, measured as oxidized to reduced glutathione ratio (GSSG/GSH), malondialdehyde (MDA), and 8-oxo-7,8-dihydroguanine (8-oxo-dG) in urine, and the interacting role of genetic variation in oxidative stress candidate genes, in a representative sample of 1445 men and women aged 18-85 years from Spain. The geometric mean of plasma selenium levels in the study sample was 84.76 mu g/L. In fully adjusted models the geometric mean ratios for oxidative stress biomarker levels comparing the highest to the lowest quintiles of plasma selenium levels were 0.61 (0.50-0.76) for GSSG/GSH, 0.89 (0.79-1.00) for MDA, and 1.06 (0.96-1.18) for 8-oxo-dG. We observed nonlinear dose-responses of selenium exposure and oxidative stress biomarkers, with plasma selenium concentrations above similar to 110 mu g/L being positively associated with 8-oxo-dG, but inversely associated with GSSG/GSH and MDA. In addition, we identified potential risk genotypes associated with increased levels of oxidative stress markers with high selenium levels. Our findings support that high selenium levels increase oxidative stress in some biological processes. More studies are needed to disentangle the complexity of selenium biology and the relevance of potential gene-selenium interactions in relation to health outcomes in human populations. (C) 2014 Elsevier Inc. All rights reserved.

Filiaciones:
Galan-Chilet I:
 Genotyping and Genetic Diagnosis Unit, Institute for Biomedical Research INCLIVA, Valencia, Spain

Tellez-Plaza M:
 Area of Cardiometabolic and Renal Risk, Institute for Biomedical Research INCLIVA, Valencia, Spain

 Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA

Guallar E:
 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA

 Department of Medicine, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA

De Marco G:
 Genotyping and Genetic Diagnosis Unit, Institute for Biomedical Research INCLIVA, Valencia, Spain

Lopez-Izquierdo R:
 Department of Internal Medicine, Hospital Universitario Rio Hortega, Valladolid, Spain

Gonzalez-Manzano I:
 Department of Internal Medicine, Hospital Universitario Rio Hortega, Valladolid, Spain

Carmen Tormos M:
 CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Minister of Health, Madrid, Spain

Martin-Nuñez GM:
 Department of Endocrinology and Nutrition, Biomedical Research Institute of Malaga (IBIMA), Hospital Regional Universitario de Malaga, Malaga, Spain

 CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona, Spain

Rojo-Martinez G:
 Department of Endocrinology and Nutrition, Biomedical Research Institute of Malaga (IBIMA), Hospital Regional Universitario de Malaga, Malaga, Spain

:
 CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Minister of Health, Madrid, Spain

 Department of Biochemistry and Molecular Biology, School of Medicine, University of Valencia, Spain

 Service of Clinical Analysis-CDBI

 Hospital General Universitario de Valencia (HGUV) Valencia, Spain

Martín-Escudero JC:
 Department of Internal Medicine, Hospital Universitario Rio Hortega, Valladolid, Spain

Redon J:
 Area of Cardiometabolic and Renal Risk, Institute for Biomedical Research INCLIVA, Valencia, Spain

 CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Minister of Health, Madrid, Spain

 Department of Internal Medicine, Hospital Clínico de Valencia, Valencia, Spain

Javier Chaves F:
 Genotyping and Genetic Diagnosis Unit, Institute for Biomedical Research INCLIVA, Valencia, Spain

 CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona, Spain
ISSN: 08915849





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ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 74 Número:
Páginas: 229-236
WOS Id: 000341274100020
ID de PubMed: 25017966

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