Evidence map›Paper›PMID 39887269›Full record

ArticleEnvironmental toxicology and chemistry2025

Heavy metal concentrations in feathers and metabolomic profiles in Pacific black ducks (Anas superciliosa) from Southeastern Australia.

Damien Nzabanita, Hao Shen, Stephen Grist, Jordan O Hampton, Jasmin Hufschmid, Dayanthi Nugegoda

Abstract read
In one paragraph

Article in Environmental toxicology and chemistry, 2025. 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

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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

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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. Article
  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

6 authors.

Damien NzabanitaSchool of Science, Royal Melbourne Institute of Technology, Melbourne, Victoria, Australia.
Hao ShenSchool of Science, Royal Melbourne Institute of Technology, Melbourne, Victoria, Australia.
Stephen GristSchool of Science, Royal Melbourne Institute of Technology, Melbourne, Victoria, Australia.
Jordan O HamptonFaculty of Science, University of Melbourne, Melbourne, Victoria, Australia.
Jasmin HufschmidFaculty of Science, University of Melbourne, Melbourne, Victoria, Australia.
Dayanthi NugegodaSchool of Science, Royal Melbourne Institute of Technology, Melbourne, Victoria, Australia.

Funding

Cybec FoundationRMIT UniversityUniversity of Melbourne
6 · The paper itself

Abstract

Heavy metals are cumulative toxicants that frequently create negative health effects for waterbirds inhibiting contaminated freshwater systems. Although levels of exposure to heavy metals have been well documented for many waterbird species, the adverse effects of exposure remain relatively poorly understood. One emerging field that allows the exploration of such effects is metabolomics. The aim of this study was to characterize metabolomic profiles in relation to long-term heavy metal exposure in a waterbird species. In 2021, wings from 44 Pacific black ducks (Anas superciliosa) were collected by recreational hunters at three sites in Victoria, southeastern Australia. The concentrations of seven heavy metals were measured in feathers and these data were quantified via inductive coupled plasma mass spectrometry and compared with a semiquantitative assessment of 21 metabolites identified in muscle tissues from the same birds via gas chromatography-mass spectrometry. Principal component analysis was conducted to test associations between metabolites, heavy metals, and sites. Mean heavy metal concentrations detected were copper (9.97 µg/g), chromium (0.73 µg/g), iron (123.24 µg/g), manganese (13.01 µg/g), mercury (0.58 µg/g), lead (0.86 µg/g), and zinc (183.95 µg/g; dry wt). No association was found between heavy metals and 17 metabolites, whereas four metabolites were negatively associated with some heavy metals: α-linolenic acid with iron, glucose with lead and manganese, lactic acid with mercury, and propanoic acid with mercury. There were few differences in the studied metabolites in ducks between the three sites. This study provides a novel approach to combining toxicological and metabolomic data for an ecologically important species from a relatively poorly studied global region.

Indexed as

DucksFeathersMetals, HeavyAnimalsAustraliaEnvironmental MonitoringMetabolomeMetabolomicsMetals, Heavybiomonitoringducksecotoxicologyheavy metalsmetabolome

Identifiers

PMID39887269
PMCPMC11790206

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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.