The variability of arsenic in blood and urine of humans.


Journal

Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)
ISSN: 1878-3252
Titre abrégé: J Trace Elem Med Biol
Pays: Germany
ID NLM: 9508274

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 04 11 2022
revised: 23 03 2023
accepted: 24 04 2023
medline: 31 5 2023
pubmed: 7 5 2023
entrez: 6 5 2023
Statut: ppublish

Résumé

Humans are exposed to inorganic and organic arsenic. The total arsenic (As) concentration in urine is a commonly used biomarker of exposure. However, little is known about variability of As in biological fluids and the diurnal variation of As excretion. Main objectives were to assess the variability of As in urine, plasma (P-As), whole blood (B-As), and the blood cell fraction (C-As), and to assess diurnal variation of As excretion. Six urine samples were collected at fixed times during 24 h on two different days around one week apart among 29 men and 31 women. Blood samples were collected when the morning urine samples were delivered. The intra-class correlation coefficient (ICC) was calculated as the ratio of the between-individuals variance to the total observed variance. Geometric mean (GM) 24 h urinary excretions of As (U-As The study suggests that C-As is the most reliable biomarker for use in exposure assessment of individual exposure. Morning urine samples have low reliability for such use. No apparent diurnal variation was observed in the urinary As excretion rate.

Sections du résumé

BACKGROUND BACKGROUND
Humans are exposed to inorganic and organic arsenic. The total arsenic (As) concentration in urine is a commonly used biomarker of exposure. However, little is known about variability of As in biological fluids and the diurnal variation of As excretion.
OBJECTIVES OBJECTIVE
Main objectives were to assess the variability of As in urine, plasma (P-As), whole blood (B-As), and the blood cell fraction (C-As), and to assess diurnal variation of As excretion.
METHODS METHODS
Six urine samples were collected at fixed times during 24 h on two different days around one week apart among 29 men and 31 women. Blood samples were collected when the morning urine samples were delivered. The intra-class correlation coefficient (ICC) was calculated as the ratio of the between-individuals variance to the total observed variance.
RESULTS RESULTS
Geometric mean (GM) 24 h urinary excretions of As (U-As
CONCLUSIONS CONCLUSIONS
The study suggests that C-As is the most reliable biomarker for use in exposure assessment of individual exposure. Morning urine samples have low reliability for such use. No apparent diurnal variation was observed in the urinary As excretion rate.

Identifiants

pubmed: 37148695
pii: S0946-672X(23)00055-X
doi: 10.1016/j.jtemb.2023.127179
pii:
doi:

Substances chimiques

Arsenic N712M78A8G
Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

127179

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier GmbH.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no conflict of interest.

Auteurs

Dag G Ellingsen (DG)

National Institute of Occupational Health, 0363 Oslo, Norway. Electronic address: dag.ellingsen@stami.no.

Stephan Weinbruch (S)

National Institute of Occupational Health, 0363 Oslo, Norway; Technical University of Darmstadt, Institute of Applied Geosciences, 64287 Darmstadt, Germany.

Gerd Sallsten (G)

Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg & Sahlgrenska University Hospital, Sweden.

Balazs Berlinger (B)

National Institute of Occupational Health, 0363 Oslo, Norway.

Lars Barregard (L)

Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg & Sahlgrenska University Hospital, Sweden.

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Classifications MeSH