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dc.contributor.authorMcGraw, Katlyn E
dc.contributor.authorSchilling, Kathrin
dc.contributor.authorGlabonjat, Ronald A
dc.contributor.authorGálvez Fernández, Marta
dc.contributor.authorDomingo-Relloso, Arce 
dc.contributor.authorMartinez-Morata, Irene
dc.contributor.authorJones, Miranda R
dc.contributor.authorPost, Wendy S
dc.contributor.authorKaufman, Joel
dc.contributor.authorTellez-Plaza, Maria 
dc.contributor.authorValeri, Linda
dc.contributor.authorBrown, Elizabeth R
dc.contributor.authorKronmal, Richard A
dc.contributor.authorBarr, Graham R
dc.contributor.authorShea, Steven
dc.contributor.authorNavas-Acien, Ana 
dc.contributor.authorSanchez, Tiffany R
dc.date.accessioned2023-12-29T11:35:28Z
dc.date.available2023-12-29T11:35:28Z
dc.date.issued2023-11-01
dc.identifier.citationmedRxiv. 2023 Nov 1:2023.10.31.23297878.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/16890
dc.description.abstractObjective: Growing evidence indicates that exposure to metals are risk factors for cardiovascular disease (CVD). We hypothesized that higher urinary levels of metals with prior evidence of an association with CVD, including non-essential (cadmium , tungsten, and uranium) and essential (cobalt, copper, and zinc) metals are associated with baseline and rate of change of coronary artery calcium (CAC) progression, a subclinical marker of atherosclerotic CVD. Methods: We analyzed data from 6,418 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) with spot urinary metal levels at baseline (2000-2002) and 1-4 repeated measures of spatially weighted coronary calcium score (SWCS) over a ten-year period. SWCS is a unitless measure of CAC highly correlated to the Agatston score but with numerical values assigned to individuals with Agatston score=0. We used linear mixed effect models to assess the association of baseline urinary metal levels with baseline SWCS, annual change in SWCS, and SWCS over ten years of follow-up. Urinary metals (adjusted to μg/g creatinine) and SWCS were log transformed. Models were progressively adjusted for baseline sociodemographic factors, estimated glomerular filtration rate, lifestyle factors, and clinical factors. Results: At baseline, the median and interquartile range (25th, 75th) of SWCS was 6.3 (0.7, 58.2). For urinary cadmium, the fully adjusted geometric mean ratio (GMR) (95%Cl) of SWCS comparing the highest to the lowest quartile was 1.51 (1.32, 1.74) at baseline and 1.75 (1.47, 2.07) at ten years of follow-up. For urinary tungsten, uranium, and cobalt the corresponding GMRs at ten years of follow-up were 1.45 (1.23, 1.71), 1.39 (1.17, 1.64), and 1.47 (1.25, 1.74), respectively. For copper and zinc, the association was attenuated with adjustment for clinical risk factors; GMRs at ten years of follow-up before and after adjustment for clinical risk factors were 1.55 (1.30, 1.84) and 1.33 (1.12, 1.58), respectively, for copper and 1.85 (1.56, 2.19) and 1.57 (1.33, 1.85) for zinc. Conclusion: Higher levels of cadmium, tungsten, uranium, cobalt, copper, and zinc, as measured in urine, were associated with subclinical CVD at baseline and at follow-up. These findings support the hypothesis that metals are pro-atherogenic factors.es_ES
dc.description.sponsorshipThe Multi-Ethnic Study of Atherosclerosis (MESA) is supported by contracts 75N92020D00001, HHSN268201500003I, N01-HC-95159, 75N92020D00005, N01-HC-95160, 75N92020D00002, N01-HC-95161, 75N92020D00003, N01-HC-95162, 75N92020D00006, N01-HC-95163, 75N92020D00004, N01-HC-95164, 75N92020D00007, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168 and N01-HC-95169 from the National Heart, Lung, and Blood Institute, and by grants UL1-TR-000040, UL1-TR-001079, and UL1-TR-001420 from the National Center for Advancing Translational Sciences (NCATS). This publication was developed under the Science to Achieve Results (STAR) research assistance agreements, No. RD831697 (MESA Air) and RD-83830001 (MESA Air Next Stage), awarded by the U.S Environmental Protection Agency (EPA). It has not been formally reviewed by the EPA. The views expressed in this document are solely those of the authors and the EPA does not endorse any products or commercial services mentioned in this publication. Dr. Maria Tellez-Plaza was supported by grants PI15/00071 and PI22/00029 from the Strategic Action for Health Research, Instituto de Salud Carlos III and the Spanish Ministry of Science and Innovation, and co-funded with European Funds for Regional Development (FEDER). The opinions and views expressed in this article are those of the authors and do not necessarily represent the official position of the Instituto de Salud Carlos III (Spain). Work in the authors? laboratories is also supported in part by NIH grants P42ES023716, P42ES010349, P42ES033719, P30ES009089, T32ES007322, R01ES029967, R01HL155576. The authors thank the other investigators, the staff, and the participants of the MESA study for their valuable contributions. A full list of participating MESA investigators and institutions can be found at http://www.mesa-nhlbi.org. This paper has been reviewed and approved by the MESA Publications and Presentations Committee.es_ES
dc.language.isoenges_ES
dc.publishermedRxives_ES
dc.type.hasVersionAMes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMetalses_ES
dc.subjectCardiovascular diseasees_ES
dc.subjectCoronary artery calcificationes_ES
dc.subjectCadmiumes_ES
dc.subjectTungstenes_ES
dc.subject85 uraniumes_ES
dc.subjectCobaltes_ES
dc.subjectCopperes_ES
dc.subjectZinces_ES
dc.subjectLongitudinales_ES
dc.subjectProspectivees_ES
dc.subjectMixed modelses_ES
dc.titleUrinary Metal Levels and Coronary Artery Calcification: Longitudinal Evidence in the Multi-Ethnic Study of Atherosclerosis (MESA)es_ES
dc.typepreprintes_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.pubmedID37961623es_ES
dc.format.number2023.10.31.23297878es_ES
dc.identifier.doi10.1101/2023.10.31.23297878es_ES
dc.contributor.funderNIH - National Heart, Lung, and Blood Institute (NHLBI) (Estados Unidos) es_ES
dc.contributor.funderNational Center for Advancing Translational Sciences (Estados Unidos) es_ES
dc.contributor.funderEnvironmental Protection Agency (Estados Unidos)es_ES
dc.contributor.funderInstituto de Salud Carlos III es_ES
dc.contributor.funderMinisterio de Ciencia e Innovación (España) es_ES
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF) es_ES
dc.contributor.funderNational Institutes of Health (Estados Unidos) es_ES
dc.description.peerreviewedNoes_ES
dc.relation.publisherversionhttps://doi.org/10.1101/2023.10.31.23297878es_ES
dc.identifier.journalmedRxiv : the preprint server for health scienceses_ES
dc.repisalud.centroISCIII::Centro Nacional de Epidemiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.relation.projectFISinfo:fis/Instituto de Salud Carlos III/null/null/Subprograma de proyectos de investigacion en salud (AES 2015). Modalidad proyectos en salud. (2015)/PI15/00071es_ES
dc.relation.projectFISinfo:fis/Instituto de Salud Carlos III///PI22- Proyectos de I+D+I en salud (AES 2022). (2022)/PI22/00029es_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Internacional