Evidence map›Paper›PMID 38917117›Full record

ArticlePloS one2024

Non-invasive biomonitoring of polar bear feces can be used to estimate concentrations of metals of concern in traditional food.

Kristin M Eccles, Vincent Boutet, Marsha Branigan, Markus Dyck, Peter van Coeverden de Groot, Stephen C Lougheed, Allison Rutter, Valérie S Langlois

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kristin M EcclesEnvironmental Health Science and Research Bureau, Health Environments and Consumer Safety Branch, Health Canada, Ottawa, ON, Canada.ORCID 0000-0002-6629-430X
Vincent BoutetInstitut National de la Recherche Scientifique (INRS), Québec, Canada.
Marsha BraniganGovernment of the Northwest Territories, Yellowknife, Canada.
Markus DyckGovernment of Nunavut, Department of Environment, Igloolik, NU, Canada.
Peter van Coeverden de GrootBiology Department, Queen's University, Kingston, ON, Canada.
Stephen C LougheedBiology Department, Queen's University, Kingston, ON, Canada.
Allison RutterSchool of Environmental Studies, Queen's University, Kingston, ON, Canada.
Valérie S LangloisInstitut National de la Recherche Scientifique (INRS), Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Arctic faces increasing exposure to environmental chemicals such as metals, posing health risks to humans and wildlife. Biomonitoring of polar bears (Ursus maritimus) can be used to quantify chemicals in the environment and in traditional foods consumed by the Inuit. However, typically, these samples are collected through invasive or terminal methods. The biomonitoring of feces could be a useful alternative to the current metal monitoring method within the Arctic. Here, we aim to 1) quantify the relationship between concentrations of metals in the feces and tissues (muscle, liver, and fat) of polar bears using predictive modeling, 2) develop an easy-to-use conversion tool for use in community-based monitoring programs to non-invasively estimate contaminant concentrations in polar bears tissues and 3) demonstrate the application of these models by examining potential exposure risk for humans from consumption of polar bear muscle. Fecal, muscle, liver, and fat samples were harvested from 49 polar bears through a community-based monitoring program. The samples were analyzed for 32 metals. Exploratory analysis indicated that mean metal concentrations generally did not vary by age or sex, and many of the metals measured in feces were positively correlated with the internal tissue concentration. We developed predictive linear regression models between internal (muscle, liver, fat) and external (feces) metal concentrations and further explored the mercury and methylmercury relationships for utility risk screening. Using the cross-validated regression coefficients, we developed a conversion tool that contributes to the One Health approach by understanding the interrelated health of humans, wildlife, and the environment in the Arctic. The findings support using feces as a biomonitoring tool for assessing contaminants in polar bears. Further research is needed to validate the developed models for other regions in the Arctic and assess the impact of environmental weathering on fecal metal concentrations.

Indexed as

FecesUrsidaeAnimalsArctic RegionsBiological MonitoringEnvironmental MonitoringEnvironmental PollutantsFemaleFood ContaminationHumansLiverMaleMetalsEnvironmental PollutantsMetals

Identifiers

PMID38917117
PMCPMC11198741

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.