Background: Very few studies exist on urinary arsenic exposure in Spain.
Objective: To evaluate total and speciated urinary arsenic (As) levels in a Spanish population sample.
Methods: Demographic, lifestyle and dietary data was collected for 124 volunteers (aged 20-76years; 88 women and 36 men), who were tested for total arsenic and five arsenic species using high-performance liquid chromatography-inductively coupled plasma mass spectrometry.
Results: Arsenobetaine (AB) and dimethylarsinic acid (DMA) were detected in 96.8% of the study participants (limit of detection (LOD) 1.0μg/L for AB and 1.9μg/L for DMA). Monomethylarsonic acid (MMA) and arsenous acid (As(III)) were detected in 5.6% (LOD 1.8μg/L) and 1.6% (LOD 1.4μg/L) of the participants, respectively; arsenic acid (As(V)) was not detected (LOD 1.4μg/L). AB and DMA (geometric mean (GM) 29.1μg/L and 7.5μg/L, respectively) were the main contributors to total urinary arsenic levels. Urinary DMA was positively associated with AB.
Conclusion: Total arsenic levels observed in the Spanish population sample were higher than those reported by other European studies. The most recurrent urinary arsenic species was AB, followed by DMA, probably attributable to the high Spanish consumption of seafood. We recommend using inorganic As+MMA as the two main urinary biomarkers for inorganic As exposure. Our results provide reference data for analysing arsenic speciation results and assessing human exposure.
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http://dx.doi.org/10.1016/j.scitotenv.2016.07.134 | DOI Listing |
Front Nutr
January 2025
Clinical Center of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Lianyungang, China.
Background: Salt usage patterns have been associated with a risk of multiple diseases; however, their relationship with heavy metal exposure has not been extensively studied.
Methods: This study analyzed survey data from 11,574 NHANES participants. Weighted linear regression models were used to examine the relationship between the type of salt used by participants, the frequency of adding salt at the table, and the frequency of adding regular or seasoned salt to cooking or food preparation, and urinary concentrations of 10 heavy metals.
Sci Rep
January 2025
Department of Environmental Health Engineering, Khalkhal University of Medical Sciences, Khalkhal, Iran.
Heavy metals (HMs) may cause the generation of reactive oxygen species (ROS), which results in oxidative stress and eventually leads to an increase in cardiovascular diseases (CVD). The Hoveyzeh Cohort Study Center provided clinical data for cardiovascular cases. The collection of samples was done randomly.
View Article and Find Full Text PDFBiometals
January 2025
Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Avenida Universidad 655, Santa María Ahuacatitlán, C. P. 62100, Cuernavaca, Morelos, México.
Exposure to individual metals has been inconsistently associated with adiposity. However, populations are exposed to more than one metal at a time, thus recent studies have been conducted to assess more comprehensively metal exposure through a mixture approach. To explore the association between Body Mass Index (BMI), Waist-Hip Ratio (WHIR) and Waist-Height Ratio (WHER) with urinary metal concentrations, using individual and mixture approaches, as well as identifying the most important metals within the mixtures, in women from Northern Mexico.
View Article and Find Full Text PDFClin Endocrinol (Oxf)
January 2025
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Objectives: The relationship between iodine status and gestational diabetes mellitus (GDM) is inconclusive. This study aimed to explore the trajectories of urinary iodine concentrations (UIC) in pregnant women before GDM diagnosis and to assess the associations between maternal UIC trajectories and the risk of developing GDM.
Methods: A prospective cohort study was conducted in China.
Biol Trace Elem Res
January 2025
Kolkata Zonal Centre, CSIR-National Environmental Engineering Research Institute, i-8 Sector-C, East Kolkata Township, Kolkata, 700107, India.
AS3MT, GSTO2, and GSTP1 genes play important roles in the arsenic biotransformation pathway, while CYP2E1 gene has a prominent role in the metabolic activation of xenobiotics. Hence, polymorphisms of these genes might have an effect on arsenic biotransformation and could impact susceptibility to arsenical skin lesions in individuals of chronic arsenic toxicity. The present case-control study, comprising 148 subjects, attempted to evaluate genetic association between nine polymorphisms of AS3MT, GSTO2, GSTP1 and CYP2E1 genes and arsenical skin lesions in a West Bengal (WB) population.
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