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dc.contributor.authorDomingo Relloso, Arce
dc.contributor.authorGrau-Perez, Maria
dc.contributor.authorGalan-Chilet, Inmaculada
dc.contributor.authorGarrido-Martinez, Maria J.
dc.contributor.authorTormos, Carmen
dc.contributor.authorNavas-Acien, Ana
dc.contributor.authorGomez-Ariza, Jose L.
dc.contributor.authorMonzo-Beltran, Lidia
dc.contributor.authorSaez Tormo, Guillermo
dc.contributor.authorGarcia-Barrera, Tamara
dc.contributor.authorDueñas Laita, Antonio 
dc.contributor.authorBriongos Figuero, Laisa Socorro
dc.contributor.authorChaves, F. Javier
dc.contributor.authorRedon, Josep
dc.contributor.authorTellez Plaza, Maria
dc.contributor.authorMartín Escudero, Juan Carlos 
dc.date.accessioned2024-01-24T12:26:49Z
dc.date.available2024-01-24T12:26:49Z
dc.date.issued2019
dc.identifier.citationEnvironment International, febrero 2019, 123, 171-80es
dc.identifier.issn0160-4120es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/64964
dc.description.abstractIntroduction: Few studies have investigated the role of exposure to metals and metal mixtures on oxidative stress in the general population. Objectives: We evaluated the cross-sectional association of urinary metal and metal mixtures with urinary oxidative stress biomarkers, including oxidized to reduced glutathione ratio (GSSG/GSH), malondialdehyde (MDA), and 8‑oxo‑7,8‑dihydroguanine (8-oxo-dG), in a representative sample of a general population from Spain (Hortega Study). Methods: Urine antimony (Sb), barium (Ba), cadmium (Cd), chromium (Cr), cobalt (Co), copper (Cu), molybdenum (Mo), vanadium (V) and zinc (Zn) were measured by ICPMS in 1440 Hortega Study participants. Results: The geometric mean ratios (GMRs) of GSSG/GSH comparing the 80th to the 20th percentiles of metal distributions were 1.15 (95% confidence intervals [95% CI]: 1.03–1.27) for Mo, 1.17 (1.05–1.31) for Ba, 1.23 (1.04–1.46) for Cr and 1.18 (1.00–1.40) for V. For MDA, the corresponding GMRs (95% CI) were 1.13 (1.03–1.24) for Zn and 1.12 (1.02–1.23) for Cd. In 8-oxo-dG models, the corresponding GMR (95% CI) were 1.12 (1.01–1.23) for Zn and 1.09 (0.99–1.20) for Cd. Cr for GSSG/GSH and Zn for MDA and 8-oxo-dG drove most of the observed associations. Principal component (PC) 1 (largely reflecting non-essential metals) was positively associated with GSSG/GSH. The association of PC2 (largely reflecting essential metals) was positive for GSSG/ GSH but inverse for MDA. Conclusions: Urine Ba, Cd, Cr, Mo, V and Zn were positively associated with oxidative stress measures at metal exposure levels relevant for the general population. The potential health consequences of environmental, including nutritional, exposure to these metals warrants further investigation.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherPergamon-Elsevier Science LTD, USAes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subjectUrine metals, Oxidative stress, Metal mixtures, Population-basedes
dc.titleUrinary metals and metal mixtures and oxidative stress biomarkers in an adult population from Spain: The Hortega Studyes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.envint.2018.11.055es
dc.identifier.publicationfirstpage171es
dc.identifier.publicationlastpage180es
dc.identifier.publicationtitleEnvironment Internationales
dc.identifier.publicationvolume123es
dc.peerreviewedSIes
dc.description.projectResearch in Health Sciences [CP12/03080, PI10/0082, PI13/01848, PI07/0497 and PI11/00726]; GRUPOS 03/101, PROMETEO/2009/029 and 2005/027, AMP07/075 and ACOMP/2013/039 from the Valencia Government; GRS/279/A/08 from Castilla-Leon Government; European Network of Excellence Ingenious Hypercare (EPSS-037093) from the European Commission; Retics (PREDIMED RD06/0045/0006); CIBER Fisiopatología Obesidad y Nutrición (CIBERobn) [CIBER-02-08-2009, CB06/03 and CB12/03/30016] and CIBER de Diabetes y Enfermedades Metabólicas Relacionadas (CIBERDEM CB07/0/018). The Strategic Action for Research in Health sciences, Retics, CIBEROBN and CIBERDEM are initiatives from Carlos III Health Institute Madrid and the Spanish Ministry of Economy and Competitiveness and co-funded with European Funds for Regional Development (FEDER).es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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