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Urinary Arsenic in Human Samples from Areas Characterized by Natural or Anthropogenic Pollution in Italy
Arsenic is ubiquitous and has a potentially adverse impact on human health. We compared the distribution of concentrations of urinary inorganic arsenic plus methylated forms (uc(iAs+MMA+DMA)) in four Italian areas with other international studies, and we assessed the relationship between uc(iAs+MMA+...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858368/ https://www.ncbi.nlm.nih.gov/pubmed/29425136 http://dx.doi.org/10.3390/ijerph15020299 |
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author | Minichilli, Fabrizio Bianchi, Fabrizio Ronchi, Anna Maria Gorini, Francesca Bustaffa, Elisa |
author_facet | Minichilli, Fabrizio Bianchi, Fabrizio Ronchi, Anna Maria Gorini, Francesca Bustaffa, Elisa |
author_sort | Minichilli, Fabrizio |
collection | PubMed |
description | Arsenic is ubiquitous and has a potentially adverse impact on human health. We compared the distribution of concentrations of urinary inorganic arsenic plus methylated forms (uc(iAs+MMA+DMA)) in four Italian areas with other international studies, and we assessed the relationship between uc(iAs+MMA+DMA) and various exposure factors. We conducted a human biomonitoring study on 271 subjects (132 men) aged 20–44, randomly sampled and stratified by area, gender, and age. Data on environmental and occupational exposure and dietary habits were collected through a questionnaire. Arsenic was speciated using chromatographic separation and inductively coupled mass spectrometry. Associations between uc(iAs+MMA+DMA) and exposure factors were evaluated using the geometric mean ratio (GMR) with a 90% confidence interval by stepwise multiple regression analysis. The 95th percentile value of uc(iAs+MMA+DMA) for the whole sample (86.28 µg/L) was higher than other national studies worldwide. A statistical significant correlation was found between uc(iAs+MMA+DMA) and occupational exposure (GMR: 2.68 [1.79–4.00]), GSTT gene (GMR: 0.68 [0.52–0.80]), consumption of tap water (GMR: 1.35 [1.02–1.77]), seafood (GMR: 1.44 [1.11–1.88]), whole milk (GMR: 1.34 [1.04–1.73]), and fruit/vegetables (GMR: 1.37 [1.03–1.82]). This study demonstrated the utility of uc(iAs+MMA+DMA) as a biomarker to assess environmental exposure. In a public health context, this information could be used to support remedial action, to prevent individuals from being further exposed to environmental arsenic sources. |
format | Online Article Text |
id | pubmed-5858368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58583682018-03-19 Urinary Arsenic in Human Samples from Areas Characterized by Natural or Anthropogenic Pollution in Italy Minichilli, Fabrizio Bianchi, Fabrizio Ronchi, Anna Maria Gorini, Francesca Bustaffa, Elisa Int J Environ Res Public Health Article Arsenic is ubiquitous and has a potentially adverse impact on human health. We compared the distribution of concentrations of urinary inorganic arsenic plus methylated forms (uc(iAs+MMA+DMA)) in four Italian areas with other international studies, and we assessed the relationship between uc(iAs+MMA+DMA) and various exposure factors. We conducted a human biomonitoring study on 271 subjects (132 men) aged 20–44, randomly sampled and stratified by area, gender, and age. Data on environmental and occupational exposure and dietary habits were collected through a questionnaire. Arsenic was speciated using chromatographic separation and inductively coupled mass spectrometry. Associations between uc(iAs+MMA+DMA) and exposure factors were evaluated using the geometric mean ratio (GMR) with a 90% confidence interval by stepwise multiple regression analysis. The 95th percentile value of uc(iAs+MMA+DMA) for the whole sample (86.28 µg/L) was higher than other national studies worldwide. A statistical significant correlation was found between uc(iAs+MMA+DMA) and occupational exposure (GMR: 2.68 [1.79–4.00]), GSTT gene (GMR: 0.68 [0.52–0.80]), consumption of tap water (GMR: 1.35 [1.02–1.77]), seafood (GMR: 1.44 [1.11–1.88]), whole milk (GMR: 1.34 [1.04–1.73]), and fruit/vegetables (GMR: 1.37 [1.03–1.82]). This study demonstrated the utility of uc(iAs+MMA+DMA) as a biomarker to assess environmental exposure. In a public health context, this information could be used to support remedial action, to prevent individuals from being further exposed to environmental arsenic sources. MDPI 2018-02-09 2018-02 /pmc/articles/PMC5858368/ /pubmed/29425136 http://dx.doi.org/10.3390/ijerph15020299 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Minichilli, Fabrizio Bianchi, Fabrizio Ronchi, Anna Maria Gorini, Francesca Bustaffa, Elisa Urinary Arsenic in Human Samples from Areas Characterized by Natural or Anthropogenic Pollution in Italy |
title | Urinary Arsenic in Human Samples from Areas Characterized by Natural or Anthropogenic Pollution in Italy |
title_full | Urinary Arsenic in Human Samples from Areas Characterized by Natural or Anthropogenic Pollution in Italy |
title_fullStr | Urinary Arsenic in Human Samples from Areas Characterized by Natural or Anthropogenic Pollution in Italy |
title_full_unstemmed | Urinary Arsenic in Human Samples from Areas Characterized by Natural or Anthropogenic Pollution in Italy |
title_short | Urinary Arsenic in Human Samples from Areas Characterized by Natural or Anthropogenic Pollution in Italy |
title_sort | urinary arsenic in human samples from areas characterized by natural or anthropogenic pollution in italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858368/ https://www.ncbi.nlm.nih.gov/pubmed/29425136 http://dx.doi.org/10.3390/ijerph15020299 |
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