Article (Scientific journals)
Biomonitoring of fast-elimination endocrine disruptors - Results from a 6-month follow up on human volunteers with repeated urine and hair collection.
Fäys, François; Hardy, Emilie M.; Palazzi, Paul et al.
2021In Science of the Total Environment, 778, p. 146330
Peer reviewed
 

Files


Full Text
Fays et al_Science of the total environment_2021_778_146330.pdf
Publisher postprint (2.3 MB)
Download

https://creativecommons.org/licenses/by-nc-nd/4.0/


All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Biological Monitoring; Endocrine Disruptors; Environmental Exposure/analysis; Follow-Up Studies; Healthy Volunteers; Humans; Phthalic Acids; Biomarkers of exposure; Biomonitoring; Endocrine disruptor; Hair; Urine
Abstract :
[en] BACKGROUND: The assessment of human exposure to fast-elimination endocrine disruptors (ED) such as phthalates, bisphenols or pesticides is usually based on urinary biomarkers. The variability of biomarkers concentration, due to rapid elimination from the body combined with frequent exposure is however pointed out as a major limitation to exposure assessment. Other matrices such as hair, less sensitive to short-term variations in the exposure, have been proposed as possible alternatives. Nevertheless, no study compared the information obtained from hair and urine respectively in a follow-up allowing to assess biomarkers variability over time in these two matrices, and to compare the correlation between them. METHODS: In the present study, hair and urine samples were collected from 16 volunteers over a 6 months follow-up. All in all, 92 hair samples and 805 urines samples were collected and analyzed for the presence of 16 phthalate metabolites, 4 bisphenols and 8 pesticides/metabolites. RESULTS: All the biomarkers analyzed were detected in at least one of the two matrices. 21 biomarkers were more frequently detected in hair, 6 in urine, and 1 was equivalent. Biomarkers intraclass correlation coefficients (ICC) ranged from 0.1 to 0.8 (ten above 0.4) in hair, and from 0.09 to 0.51 in urine (two above 0.4). The concentrations of biomarkers in hair and urine were significantly correlated for only one compound. CONCLUSION: This study highlights the complexity of assessing exposure to fast-elimination ED and suggests considering with caution the specificity of the matrix in data interpretation. The results document the respective advantages and limitations of urine and hair, and provide new insight in the understanding of the information provided by these biological matrices and their relevance for the assessment of human exposure to fast elimination contaminants. CAPSULE: 92 hair and 805 urine samples collected from 16 volunteers over 6 months, tested for phthalate metabolites, bisphenols and pesticides. 19 biomarkers (in hair) and 24 (in urine) were detected in >50% of the samples.
Disciplines :
Pharmacy, pharmacology & toxicology
Author, co-author :
Fäys, François
Hardy, Emilie M.
Palazzi, Paul
HAAN, Serge  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
Beausoleil, Claire
APPENZELLER, Brice ;  Luxembourg Institute of Health > Department of Population Health
External co-authors :
yes
Language :
English
Title :
Biomonitoring of fast-elimination endocrine disruptors - Results from a 6-month follow up on human volunteers with repeated urine and hair collection.
Publication date :
2021
Journal title :
Science of the Total Environment
ISSN :
0048-9697
eISSN :
1879-1026
Volume :
778
Pages :
146330
Peer reviewed :
Peer reviewed
FnR Project :
FNR11262468 - Novel Strategies For The Assessment Of Exposure To Fast Elimination Endocrine Disruptors With Non-invasive Biological Sampling, 2016 (01/10/2016-30/09/2020) - Francois Noel Marcel Josepha Fays
Funders :
FNR (AFR16 11262468) / ANSES (French Agency for Food, Environmental and Occupational Health & Safety)
Commentary :
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.
Available on ORBilu :
since 29 March 2023

Statistics


Number of views
81 (3 by Unilu)
Number of downloads
37 (0 by Unilu)

Scopus citations®
 
42
Scopus citations®
without self-citations
30
OpenCitations
 
15
OpenAlex citations
 
42
WoS citations
 
38

publications
0
supporting
0
mentioning
0
contrasting
0
Smart Citations
0
0
0
0
Citing PublicationsSupportingMentioningContrasting
View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

Bibliography


Similar publications



Sorry the service is unavailable at the moment. Please try again later.
Contact ORBilu