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      Urinary Metal Levels and Coronary Artery Calcification: Longitudinal Evidence in the Multi-Ethnic Study of Atherosclerosis (MESA)

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          Abstract

          Objective:

          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 (25 th, 75 th) 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.

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          Most cited references50

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          New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race

          Current equations for estimated glomerular filtration rate (eGFR) that use serum creatinine or cystatin C incorporate age, sex, and race to estimate measured GFR. However, race in eGFR equations is a social and not a biologic construct.
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            Coronary calcium as a predictor of coronary events in four racial or ethnic groups.

            In white populations, computed tomographic measurements of coronary-artery calcium predict coronary heart disease independently of traditional coronary risk factors. However, it is not known whether coronary-artery calcium predicts coronary heart disease in other racial or ethnic groups. We collected data on risk factors and performed scanning for coronary calcium in a population-based sample of 6722 men and women, of whom 38.6% were white, 27.6% were black, 21.9% were Hispanic, and 11.9% were Chinese. The study subjects had no clinical cardiovascular disease at entry and were followed for a median of 3.8 years. There were 162 coronary events, of which 89 were major events (myocardial infarction or death from coronary heart disease). In comparison with participants with no coronary calcium, the adjusted risk of a coronary event was increased by a factor of 7.73 among participants with coronary calcium scores between 101 and 300 and by a factor of 9.67 among participants with scores above 300 (P<0.001 for both comparisons). Among the four racial and ethnic groups, a doubling of the calcium score increased the risk of a major coronary event by 15 to 35% and the risk of any coronary event by 18 to 39%. The areas under the receiver-operating-characteristic curves for the prediction of both major coronary events and any coronary event were higher when the calcium score was added to the standard risk factors. The coronary calcium score is a strong predictor of incident coronary heart disease and provides predictive information beyond that provided by standard risk factors in four major racial and ethnic groups in the United States. No major differences among racial and ethnic groups in the predictive value of calcium scores were detected. Copyright 2008 Massachusetts Medical Society.
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              Multi-ethnic study of atherosclerosis: objectives and design.

              D E Bild (2002)
              The Multi-Ethnic Study of Atherosclerosis was initiated in July 2000 to investigate the prevalence, correlates, and progression of subclinical cardiovascular disease (CVD) in a population-based sample of 6,500 men and women aged 45-84 years. The cohort will be selected from six US field centers. Approximately 38% of the cohort will be White, 28% African-American, 23% Hispanic, and 11% Asian (of Chinese descent). Baseline measurements will include measurement of coronary calcium using computed tomography; measurement of ventricular mass and function using cardiac magnetic resonance imaging; measurement of flow-mediated brachial artery endothelial vasodilation, carotid intimal-medial wall thickness, and distensibility of the carotid arteries using ultrasonography; measurement of peripheral vascular disease using ankle and brachial blood pressures; electrocardiography; and assessments of microalbuminuria, standard CVD risk factors, sociodemographic factors, life habits, and psychosocial factors. Blood samples will be assayed for putative biochemical risk factors and stored for use in nested case-control studies. DNA will be extracted and lymphocytes will be immortalized for genetic studies. Measurement of selected subclinical disease indicators and risk factors will be repeated for the study of progression over 7 years. Participants will be followed through 2008 for identification and characterization of CVD events, including acute myocardial infarction and other coronary heart disease, stroke, peripheral vascular disease, and congestive heart failure; therapeutic interventions for CVD; and mortality.
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                Author and article information

                Journal
                medRxiv
                MEDRXIV
                medRxiv
                Cold Spring Harbor Laboratory
                01 November 2023
                : 2023.10.31.23297878
                Affiliations
                [1 ]Columbia University Mailman School of Public Health, Department of Environmental Health Science, 722 W 168th St, New York, NY 10032
                [2 ]Columbia University Mailman School of Public Health, Department of Biostatistics, 722 W 168th St, New York, NY 10032
                [3 ]Johns Hopkins University School of Medicine, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Baltimore MD 21057
                [4 ]Johns Hopkins University Bloomberg School of Public Health, Department of Epidemiology, 615 N. Wolfe Street. Baltimore MD 212057
                [5 ]University of Washington, Department of Medicine
                [6 ]National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain, Department of Chronic Diseases Epidemiology
                [7 ]Fred Hutchinson Cancer Center, Vaccine and Infectious Disease Division
                [8 ]University of Washington, Department of Biostatistics
                [9 ]Columbia University Irving Medical Center, Departments of Medicine and Epidemiology
                Author notes
                [* ]Correspondence: Katlyn E McGraw, PhD, Columbia University Mailman School of Public Health, Department of Environmental Health Science, 722 W 168th St, New York, NY 10032, kem2240@ 123456cumc.columbia.edu
                Author information
                http://orcid.org/0000-0003-1143-3920
                http://orcid.org/0000-0003-1996-7425
                http://orcid.org/0000-0001-6928-8290
                http://orcid.org/0000-0003-3165-4931
                http://orcid.org/0000-0003-4863-104X
                http://orcid.org/0000-0002-8655-5204
                http://orcid.org/0000-0003-4174-9037
                http://orcid.org/0000-0002-3850-1228
                http://orcid.org/0000-0003-4286-2111
                http://orcid.org/0000-0002-9897-7076
                http://orcid.org/0000-0002-7382-0603
                http://orcid.org/0000-0001-9824-7797
                Article
                10.1101/2023.10.31.23297878
                10635251
                37961623
                65d1e638-5e23-49df-832e-26f968d39454

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

                History
                Funding
                Funded by: Multi-Ethnic Study of Atherosclerosis (MESA)
                Award ID: 75N92020D00001
                Award ID: HHSN268201500003I
                Award ID: N01-HC-95159
                Award ID: 75N92020D00005
                Award ID: N01-HC-95160
                Award ID: 75N92020D00002
                Award ID: N01-HC-95161
                Award ID: 75N92020D00003
                Award ID: N01-HC-95162
                Award ID: 75N92020D00006
                Award ID: N01-HC-95163
                Award ID: 75N92020D00004
                Award ID: N01-HC-95164
                Award ID: 75N92020D00007
                Award ID: N01-HC-95165
                Award ID: N01-HC-95166
                Award ID: N01-HC-95167
                Award ID: N01-HC-95168
                Award ID: N01-HC-95169
                Funded by: National Heart, Lung, and Blood Institute
                Award ID: UL1-TR-000040
                Award ID: UL1-TR-001079
                Award ID: UL1-TR-001420
                Funded by: National Center for Advancing Translational Sciences (NCATS)
                Funded by: Science to Achieve Results (STAR) research assistance
                Award ID: No. RD831697
                Award ID: RD-83830001
                Funded by: U.S Environmental Protection Agency (EPA)
                Funded by: 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).
                Award ID: PI15/00071
                Award ID: PI22/00029
                Funded by: NIH
                Award ID: P42ES023716
                Award ID: P42ES010349
                Award ID: P42ES033719
                Award ID: P30ES009089
                Award ID: T32ES007322
                Award ID: R01ES029967
                Award ID: R01HL155576
                Categories
                Article

                metals,cardiovascular disease,coronary artery calcification,cadmium,tungsten,uranium,cobalt,copper,zinc,longitudinal,prospective,mixed models

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