Defining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science

Abstract Contaminated drinking water is an important public health consideration in New England where well water is often found to contain arsenic and other metals such as cadmium, lead, and uranium. Chronic or high level exposure to these metals have been associated with multiple acute and chronic...

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Autores principales:	Remy Babich, Emily Craig, Abigail Muscat, Jane Disney, Anna Farrell, Linda Silka, Nishad Jayasundara
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/edeb9ee6585840dd9468ced6894df30d
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spelling	oai:doaj.org-article:edeb9ee6585840dd9468ced6894df30d2021-12-02T16:35:11ZDefining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science10.1038/s41598-021-96244-42045-2322https://doaj.org/article/edeb9ee6585840dd9468ced6894df30d2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96244-4https://doaj.org/toc/2045-2322Abstract Contaminated drinking water is an important public health consideration in New England where well water is often found to contain arsenic and other metals such as cadmium, lead, and uranium. Chronic or high level exposure to these metals have been associated with multiple acute and chronic diseases, including cancers and impaired neurological development. While individual metal levels are often regulated, adverse health effects of metal mixtures, especially at concentrations considered safe for human consumption remain unclear. Here, we utilized a multivariate analysis that examined behavioral outcomes in the zebrafish model as a function of multiple metal chemical constituents of 92 drinking well water samples, collected in Maine and New Hampshire. To collect these samples, a citizen science approach was used, that engaged local teachers, students, and scientific partners. Our analysis of 4016 metal-mixture combinations shows that changes in zebrafish behavior are highly mixture dependent, and indicate that certain combinations of metals, especially those containing arsenic, cadmium, lead, and uranium, even at levels considered safe in drinking water, are significant drivers of behavioral toxicity. Our data emphasize the need to consider low-level chemical mixture effects and provide a framework for a more in-depth analysis of drinking water samples. We also provide evidence for the efficacy of utilizing citizen science in research, as the broader impact of this work is to empower local communities to advocate for improving their own water quality.Remy BabichEmily CraigAbigail MuscatJane DisneyAnna FarrellLinda SilkaNishad JayasundaraNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Remy Babich Emily Craig Abigail Muscat Jane Disney Anna Farrell Linda Silka Nishad Jayasundara Defining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science
description	Abstract Contaminated drinking water is an important public health consideration in New England where well water is often found to contain arsenic and other metals such as cadmium, lead, and uranium. Chronic or high level exposure to these metals have been associated with multiple acute and chronic diseases, including cancers and impaired neurological development. While individual metal levels are often regulated, adverse health effects of metal mixtures, especially at concentrations considered safe for human consumption remain unclear. Here, we utilized a multivariate analysis that examined behavioral outcomes in the zebrafish model as a function of multiple metal chemical constituents of 92 drinking well water samples, collected in Maine and New Hampshire. To collect these samples, a citizen science approach was used, that engaged local teachers, students, and scientific partners. Our analysis of 4016 metal-mixture combinations shows that changes in zebrafish behavior are highly mixture dependent, and indicate that certain combinations of metals, especially those containing arsenic, cadmium, lead, and uranium, even at levels considered safe in drinking water, are significant drivers of behavioral toxicity. Our data emphasize the need to consider low-level chemical mixture effects and provide a framework for a more in-depth analysis of drinking water samples. We also provide evidence for the efficacy of utilizing citizen science in research, as the broader impact of this work is to empower local communities to advocate for improving their own water quality.
format	article
author	Remy Babich Emily Craig Abigail Muscat Jane Disney Anna Farrell Linda Silka Nishad Jayasundara
author_facet	Remy Babich Emily Craig Abigail Muscat Jane Disney Anna Farrell Linda Silka Nishad Jayasundara
author_sort	Remy Babich
title	Defining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science
title_short	Defining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science
title_full	Defining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science
title_fullStr	Defining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science
title_full_unstemmed	Defining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science
title_sort	defining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/edeb9ee6585840dd9468ced6894df30d
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Defining drinking water metal contaminant mixture risk by coupling zebrafish behavioral analysis with citizen science

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