Spatio-temporal assessment of pregnant women exposure to chlorpyrifos at a regional scale.
Journal
Journal of exposure science & environmental epidemiology
ISSN: 1559-064X
Titre abrégé: J Expo Sci Environ Epidemiol
Pays: United States
ID NLM: 101262796
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
received:
08
10
2020
accepted:
12
03
2021
pubmed:
8
4
2021
medline:
19
3
2022
entrez:
7
4
2021
Statut:
ppublish
Résumé
The aim of this study was to use an integrated exposure assessment approach, combining spatiotemporal modeling of environmental exposure and fate of the chemical to assess the exposure of vulnerable populations. In this study, chlorpyrifos exposure of pregnant women in Picardy was evaluated at a regional scale during 1 year. This approach provided a mapping of exposure indicators of pregnant women to chlorpyrifos over fine spatial and temporal resolutions using a GIS environment. Fate and transport models (emission, atmospheric dispersion, multimedia exposure, PBPK) were combined with environmental databases in a GIS environment. Quantities spread over agricultural fields were simulated and integrated into a modeling chain coupling models. The fate and transport of chlorpyrifos was characterized by an atmospheric dispersion statistical metamodel and the dynamiCROP model. Then, the multimedia model Modul'ERS was used to predict chlorpyrifos daily exposure doses which were integrated in a PBPK model to compute biomarker of exposure (TCPy urinary concentrations). For the concentration predictions, two scenarios (lower bound and upper bound) were built. At fine spatio-temporal resolutions, the cartography of biomarkers in the lower bound scenario clearly highlights agricultural areas. In these maps, some specific areas and hotspots appear as potentially more exposed specifically during application period. Overall, predictions were close to biomonitoring data and ingestion route was the main contributor to chlorpyrifos exposure. This study demonstrated the feasibility of an integrated approach for the evaluation of chlorpyrifos exposure which allows the comparison between modeled predictions and biomonitoring data.
Sections du résumé
BACKGROUND
The aim of this study was to use an integrated exposure assessment approach, combining spatiotemporal modeling of environmental exposure and fate of the chemical to assess the exposure of vulnerable populations. In this study, chlorpyrifos exposure of pregnant women in Picardy was evaluated at a regional scale during 1 year. This approach provided a mapping of exposure indicators of pregnant women to chlorpyrifos over fine spatial and temporal resolutions using a GIS environment.
METHODS
Fate and transport models (emission, atmospheric dispersion, multimedia exposure, PBPK) were combined with environmental databases in a GIS environment. Quantities spread over agricultural fields were simulated and integrated into a modeling chain coupling models. The fate and transport of chlorpyrifos was characterized by an atmospheric dispersion statistical metamodel and the dynamiCROP model. Then, the multimedia model Modul'ERS was used to predict chlorpyrifos daily exposure doses which were integrated in a PBPK model to compute biomarker of exposure (TCPy urinary concentrations). For the concentration predictions, two scenarios (lower bound and upper bound) were built.
RESULTS
At fine spatio-temporal resolutions, the cartography of biomarkers in the lower bound scenario clearly highlights agricultural areas. In these maps, some specific areas and hotspots appear as potentially more exposed specifically during application period. Overall, predictions were close to biomonitoring data and ingestion route was the main contributor to chlorpyrifos exposure.
CONCLUSIONS
This study demonstrated the feasibility of an integrated approach for the evaluation of chlorpyrifos exposure which allows the comparison between modeled predictions and biomonitoring data.
Identifiants
pubmed: 33824416
doi: 10.1038/s41370-021-00315-7
pii: 10.1038/s41370-021-00315-7
doi:
Substances chimiques
Biomarkers
0
Insecticides
0
Chlorpyrifos
JCS58I644W
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
156-168Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.
Références
WHO. Environmental health inequalities in Europe. Second assessment report. WHO Regional Office for Europe: Copenhagen. 2019.
Wild CP. Complementing the genome with an “exposome”: the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomark Prev. 2005;14:1847–50. https://doi.org/10.1158/1055-9965.EPI-05-0456 .
doi: 10.1158/1055-9965.EPI-05-0456
Vrijheid M. The exposome: a new paradigm to study the impact of environment on health. Thorax. 2014;69:876–8. https://doi.org/10.1136/thoraxjnl-2013-204949 .
doi: 10.1136/thoraxjnl-2013-204949
pubmed: 24906490
Nuckols JR, Ward MH, Jarup L. Using geographic information systems for exposure assessment in environmental epidemiology studies. Environ Health Perspect. 2004;112:1007–15. https://doi.org/10.1289/ehp.6738 .
doi: 10.1289/ehp.6738
pubmed: 15198921
pmcid: 1247194
Cui Y, Balshaw DM, Kwok RK, Thompson CL, Collman GW, Birnbaum LS. The exposome: embracing the complexity for discovery in environmental health. Environ Health Perspect. 2016;124:A 137–40. https://doi.org/10.1289/EHP412 .
doi: 10.1289/EHP412
Gavrilescu M. Fate of pesticides in the environment and its bioremediation. Eng Life Sci 2005;5:497–526. https://doi.org/10.1002/elsc.200520098 .
doi: 10.1002/elsc.200520098
Aubertot JN, Barbier JM, Carpentier A, Gril JN, Guichard L, Lucas P, et al. Pesticides, agriculture et environnement: réduire l’Utilisation des pesticides et en limiter les impacts environnementaux. Quæ Editions: Versailles; 2005. French.
Fenske RA, Lu C, Barr D, Needham L. Children’s exposure to chlorpyrifos and parathion in an agricultural community in central Washington State. Environ Health Perspect. 2002;110:549–53. https://doi.org/10.1289/ehp.02110549 .
doi: 10.1289/ehp.02110549
pubmed: 12003762
pmcid: 1240847
Aschan-Leygonie C, Baudet-Michel S, Harpet C, Augendre M, Lavie E, Grésillon E, et al. Comment évaluer l’exposition aux pesticides de l’air en population générale? Enseignements d’une Revue Bibliographique. Cybergeo. 2015;729; https://doi.org/10.4000/cybergeo.27056 .
Fantke P, Jolliet O. Life cycle human health impacts of 875 pesticides. Int J Life Cycle Assess. 2016;21:722–33. https://doi.org/10.1007/s11367-015-0910-y .
doi: 10.1007/s11367-015-0910-y
Caudeville J. Caractérisation des inégalités environnementales: inventaire des bases de données nationales environnementales et spatialisées. Ineris: Verneuil-en-Halatte. INERIS-DRC-17-164533-00415B; 2017.
Dereumeaux C, Fillol C, Charles MA, Denys S. The French human biomonitoring program: first lessons from the perinatal component and future needs. Int J Hyg Environ Health. 2017;220:64–70. https://doi.org/10.1016/j.ijheh.2016.11.005 .
doi: 10.1016/j.ijheh.2016.11.005
pubmed: 27919640
John EM, Shaike JM. Chlorpyrifos: pollution and remediation. Environ Chem Lett. 2015;13:269–91. https://doi.org/10.1007/s10311-015-0513-7 .
doi: 10.1007/s10311-015-0513-7
Eaton DL, Daroff RB, Autrup H, Bridges J, Buffler P, Costa LG, et al. Review of the toxicology of chlorpyrifos with an emphasis on human exposure and neurodevelopment. Crit Rev Toxicol. 2008;38(Suppl 2):1–125. https://doi.org/10.1080/10408440802272158 .
doi: 10.1080/10408440802272158
pubmed: 18726789
Guo J, Zhang J, Wu C, Lv S, Lu D, Qi X, et al. Associations of prenatal and childhood chlorpyrifos exposure with Neurodevelopment of 3-year-old children. Environ Pollut. 2019;251:538–46. https://doi.org/10.1016/j.envpol.2019.05.040 .
doi: 10.1016/j.envpol.2019.05.040
pubmed: 31108286
Rauh VA, Arunajadai S, Horton M, Perera F, Hoepner L, Barr DB, et al. Seven-year neurodevelopmental scores and prenatal exposure to chlorpyrifos, a common agricultural pesticide. Environ Health Perspect 2011;119:1196–201. https://doi.org/10.1289/ehp.1003160 .
doi: 10.1289/ehp.1003160
pubmed: 21507777
pmcid: 3237355
Dereumeaux C, Saoudi A, Pecheux M, Berat B, de Crouy-Chanel P, Zaros C, et al. Biomarkers of exposure to environmental contaminants in French pregnant women from the Elfe cohort in 2011. Environ Int. 2016;97:56–67. https://doi.org/10.1016/j.envint.2016.10.013 .
doi: 10.1016/j.envint.2016.10.013
pubmed: 27788374
Fréry N, Saoudi A, Garnier R, Zeghnoun A, Bidondo ML. Exposition de la population française aux substances chimiques de l’environnement. Institut de Veille sanitaire: Saint-Maurice. 2013. French.
Saint-Amand A, Willey J, Werry K, Faure S, Karthikeyan S, Lyonnais-Gagnon P, et al. Fifth Report on Human Biomonitoring of Environmental Chemicals in Canada. Health Canada: Ottawa. 2019.
NHANES. Fourth National Report on Human Exposure to Environmental Chemicals—Volume 1. Atlanta, GA: National Health And Nutrition Examination Survey; 2019.
Schulz C, Angerer J, Ewers U, Heudorf U, Wilhelm M. Revised and new reference values for environmental pollutants in urine or blood of children in Germany derived from the German Environmental Survey on Children 2003-2006 (GerES IV). Int J Hyg Environ Health. 2009;212:637–47. https://doi.org/10.1016/j.ijheh.2009.05.003 .
doi: 10.1016/j.ijheh.2009.05.003
pubmed: 19589725
Béranger R, Hardy EM, Binter AC, Charles MA, Zaros C, Appenzeller BMR, et al. Multiple pesticides in mothers’ hair samples and children’s measurements at birth: Results from the French national birth cohort (ELFE). Int J Hyg Environ Health. 2020;223:22–33. https://doi.org/10.1016/j.ijheh.2019.10.010 .
doi: 10.1016/j.ijheh.2019.10.010
pubmed: 31708466
Jacquet F, Butault JP, Guichard L. An economic analysis of the possibility of reducing pesticides in French field crops. Ecol Econ. 2011;170:1638–48. https://doi.org/10.1016/j.ecolecon.2011.04.003 .
doi: 10.1016/j.ecolecon.2011.04.003
E-Phy. Agence nationale de sécurité sanitaire de l’alimentation, de l’environnement et du travail. 2020. https://ephy.anses.fr/substance/chlorpyrifos . Accessed 4 May 2020.
National Bank of Plant Protection Products Sales by Authorized Distributors. 2020. http://www.data.eaufrance.fr/jdd/bd45f801-45f7-4f8c-b128-a1af3ea2aa3e . Accessed 4 May 2020.
Desert M, Ravier S, Gille G, Quinapallo A, Armengaud A, Pochet G, et al. Spatial and temporal distribution of current-use pesticides in ambient air of Provence-Alpes-Côte-d’Azur Region and Corsica. Fr Atmos Environ 2018;192:241–56. https://doi.org/10.1016/j.atmosenv.2018.08.054 .
doi: 10.1016/j.atmosenv.2018.08.054
Synop Essential WMO Database. Météo- France: Saint-Mandé. 2020. https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=90&id_rubrique=32 . Accessed 17 Jun 2020.
Leblanc JC, coordination, Sirot V, coordination, et al. Étude de l’alimentation totale française 2 (EAT 2)—Tome 2. Agence nationale de sécurité sanitaire de l’alimentation, de l’environnement et du travail: Maisons-Alfort. 2011. French.
EFSA. The 2013 European Union report on pesticide residues in food. EFSA J. 2015;13:4038 https://doi.org/10.2903/j.efsa.2015.4038 .
doi: 10.2903/j.efsa.2015.4038.
Davezac H, Grandguillot G, Robin A, Saoult C. L’eau potable en France 2005–2006. French Ministry for Health, Youth and Sports: Paris. 2008. French.
Fantke P, Charles R, de Alencastro LF, Friedrich R, Jolliet O. Plant uptake of pesticides and human health: dynamic modeling of residues in wheat and ingestion intake. Chemosphere. 2011a;85:1639–47. https://doi.org/10.1016/j.chemosphere.2011.08.030 .
doi: 10.1016/j.chemosphere.2011.08.030.
pubmed: 21955352
Fantke P, Juraske R, Antón A, Friedrich R, Jolliet O. Dynamic multicrop model to characterize impacts of pesticides in food. Environ Sci Technol. 2011b;45:8842–9. https://doi.org/10.1021/es201989d .
doi: 10.1021/es201989d
pubmed: 21905656
Bonnard R. Jeux d’équations pour la modélisation des expositions liées à la contamination d’un sol ou aux émissions d’une installation industrielle. Ineris: Verneuil-en-Halatte. DRC-08—94882-16675C; 2010. French.
Dijkman TJ, Birkved M, Hauschild MZ. PestLCI 2.0: a second generation model for estimating emissions of pesticides from arable land in LCA. Int J Life Cycle Assess. 2012;17:973–86. https://doi.org/10.1007/s11367-012-0439-2 .
doi: 10.1007/s11367-012-0439-2
Arnold AC. A comparative study of drop sizing equipment for agricultural fan-spray atomizers. Aerosol Sci Technol. 1990;12:431–45. https://doi.org/10.1080/02786829008959358 .
doi: 10.1080/02786829008959358
Bertrand M. Consommation et lieux d’achat des produits alimentaires en 1991. INSEE-Résultats. 1993;262-3. French.
Bonnard R. Paramètres d’exposition de l’Homme du logiciel MODUL’ERS. Ineris: Verneuil-en-Halatte. DRC-14-141968-11173C; 2017. French.
Poet TS, Timchalk C, Bartels MJ, Smith JN, McDougal R, Juberg DR, et al. Use of a probabilistic PBPK/PD model to calculate data derived extrapolation factors for chlorpyrifos. Regul Toxicol Pharmacol. 2017;86:59–73. https://doi.org/10.1016/j.yrtph.2017.02.014 .
doi: 10.1016/j.yrtph.2017.02.014
pubmed: 28238854
Bois FY, Maszle DR. MC Sim: a Monte Carlo simulation program. J Stat Softw. 1997;2; https://doi.org/10.18637/jss.v002.i09 .
Caudeville J, Bonnard R, Boudet C, Denys S, Govaert G, Cicolella A. Development of a spatial stochastic multimedia model to assess population exposure at a regional scale. Sci Total Environ. 2012;432:297–308. https://doi.org/10.1016/j.scitotenv.2012.06.001 .
doi: 10.1016/j.scitotenv.2012.06.001
pubmed: 22750175
Gotway Crawford CA, Hergert GW. Incorporating spatial trends and anisotropy in geostatistical mapping of soil properties. Soil Sci Soc Am J. 1997;61:298–309. https://doi.org/10.2136/sssaj1997.03615995006100010043x .
doi: 10.2136/sssaj1997.03615995006100010043x
Goovaerts P. Geostatistics for natural resources evaluation. 1st ed. Oxford University Press: New York; 1997.
Deziel NC, Frisen MC, Hoppin JA, Hines CJ, Thomas K, Freeman LEB. A review of nonoccupational pathways for pesticide exposure in women living in agricultural areas. Environ Health Perspect. 2015;123:515–24. https://doi.org/10.1289/ehp.1408273 .
doi: 10.1289/ehp.1408273
pubmed: 25636067
pmcid: 4455586
Alexander BH, Burns CJ, Bartels MJ, Acquavella JF, Mandel JS, Gustin C, et al. Chlorpyrifos exposure in farm families: results from the Farm Family Exposure Study. J Expo Sci Environ Epidemiol. 2006;16:447–53. https://doi.org/10.1038/sj.jes.7500475 .
doi: 10.1038/sj.jes.7500475
pubmed: 16570094
Curwin BD, Hein MJ, Sanderson WT, Striley C, Heederik D, Kromhout H, et al. Urinary pesticide concentrations among children, mothers and fathers living in farm and non-farm households in Iowa. Ann Occup Hyg. 2007;51:53–65. https://doi.org/10.1093/annhyg/mel062 .
doi: 10.1093/annhyg/mel062
pubmed: 16984946
Arcury TA, Laurienti PJ, Talton JW, Chen H, Howard TD, Barr DB, et al. Pesticide urinary metabolites among latina farmworkers and non-farmworkers in North Carolina. J Occup Environ Med. 2018;60:e63–e71. https://doi.org/10.1097/JOM.0000000000001189 .
doi: 10.1097/JOM.0000000000001189
pubmed: 29023343
pmcid: 5758422
Whyatt RM, Garfinkel R, Hoepner LA, Andrews H, Holmes D, Williams MK, et al. A biomarker validation study of prenatal chlorpyrifos exposure within an inner-city cohort during pregnancy. Environ Health Perspect. 2009;117:559–67. https://doi.org/10.1289/ehp.0800041 .
doi: 10.1289/ehp.0800041
pubmed: 19440494
Egeghy PP, Cohen Hubal EA, Tulve NS, Melnyk LJ, Morgan MK, Fortmann RC, et al. Review of pesticide urinary biomarker measurements from selected US EPA children’s observational exposure studies. Int J Environ Res Public Health. 2011;8:1727–54. https://doi.org/10.3390/ijerph8051727 .
doi: 10.3390/ijerph8051727
pubmed: 21655147
pmcid: 3108137
Egeghy PP, Quackenboss JJ, Catlin S, Ryan PB. Determinants of temporal variability in NHEXAS-Maryland environmental concentrations, exposures, and biomarkers. J Expo Anal Environ Epidemiol 2005;15:388–97. https://doi.org/10.1038/sj.jea.7500415 .
doi: 10.1038/sj.jea.7500415
pubmed: 15602583
Morgan MK, Sheldon LS, Croghan CW, Chuang JC, Lyu C, Wilson NK, et al. A pilot study of children’s total exposure to persistent pesticides and other persistent organic pollutants (CTEPP). U.S. Environmental Protection Agency: Washington, DC. 2004. EPA/600/R-041/193.
Beal SL. Ways to fit a PK model with some data below the quantification limit. J Pharmacokinet Pharmacodyn. 2001;28:481–504. https://doi.org/10.1023/A:1012299115260 .
doi: 10.1023/A:1012299115260
pubmed: 11768292
Hecht M, Veigure R, Couchman L, Barker CIS, Standing JF, Takkis K, et al. Utilization of data below the analytical limit of quantitation in pharmacokinetic analysis and modeling: promoting interdisciplinary debate. Bioanalysis. 2018;10:1229–48. https://doi.org/10.4155/bio-2018-0078 .
doi: 10.4155/bio-2018-0078
pubmed: 30033744
Byrne SL, Shurdut BA, Saunders DG. Potential chlorpyrifos exposure to residents following standard crack and crevice treatment. Environ Health Perspect. 1998;106:725–31. https://doi.org/10.1289/ehp.98106725 .
doi: 10.1289/ehp.98106725.
pubmed: 9799188
pmcid: 1533482
Zartarian V, Özkaynak H, Burke JM, Zufall MJ, Rigas ML, Furtaw EJ Jr. A modeling framework for estimating children’s residential exposure and dose to chlorpyrifos via dermal residue contact and nondietary ingestion. Environ Health Perspect. 2000;108:505–13. https://doi.org/10.1289/ehp.00108505 .
doi: 10.1289/ehp.00108505
pubmed: 10856023
pmcid: 1638152
Nolan RJ, Rick DL, Freshour NL, Saunders JH. Chlorpyrifos: pharmacokinetics in human volunteers. Toxicol Appl Pharmacol. 1984;73:8–15. https://doi.org/10.1016/0041-008X(84)90046-2 .
doi: 10.1016/0041-008X(84)90046-2
pubmed: 6200956
Meuling WJA, Ravensberg LC, Roza L, van Hemmen JJ. Dermal absorption of chlorpyrifos in human volunteers. Int Arch Occup Environ Health. 2005;78:44–50. https://doi.org/10.1007/s00420-004-0558-6 .
doi: 10.1007/s00420-004-0558-6
pubmed: 15627216