Subcellular Partitioning of Trace Elements Is Related to Metal Ecotoxicological Classes in Livers of Fish (Esox lucius; Coregonus clupeaformis) from the Yellowknife Area (Northwest Territories, Canada)

The subcellular partitioning of trace elements (TEs) may depend on their binding preferences, although few field data are available from mining-impacted areas. Northern pike and lake whitefish were collected from different aquatic systems located in the Yellowknife mining area (Northwest Territories, Canada) to examine the subcellular partitioning of TEs in liver cells. Elements belonging to metal classes based on binding affinities were considered: A (Ce, La), borderline (As, Pb), and class B (Ag, Cd). Measurements in the metal-detoxified fractions (granule-like structures and heat-stable proteins and peptides) and in the putative metal-sensitive fractions (heat-denatured proteins, mitochondria and microsomes, and lysosomes) revealed marked differences among metal classes. In both fish species, Cd and Ag accumulated more as detoxified forms (higher than 50%, likely bound to metallothionein-like proteins) than La and Ce (not more than 20%). The two borderline TEs (As and Pb) showed an intermediate behavior between classes A and B. Similar proportions were found in the "sensitive" subcellular fractions for all TEs, where quantitative ion character-activity relationships (QICARs) indicated the covalent index and electronegativity as predictors of the TE contribution in this compartment. This study supports the use of classes of metals to predict the toxicological risk of data-poor metals in mining areas.

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Publication Details

Journal
Toxics
Published
2025-05-19
DOI
https://doi.org/10.3390/toxics13050410
Citations
1
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
0.50
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article

Subcellular Partitioning of Trace Elements Is Related to Metal Ecotoxicological Classes in Livers of Fish (Esox lucius; Coregonus clupeaformis) from the Yellowknife Area (Northwest Territories, Canada)

Marc Amyot, Michael J. Palmer, Alain Rolland, Maikel Rosabal et al.
1 citations
Toxics
Heavy metals in environment
0.50
article

Subcellular Partitioning of Trace Elements Is Related to Metal Ecotoxicological Classes in Livers of Fish (Esox lucius; Coregonus clupeaformis) from the Yellowknife Area (Northwest Territories, Canada)

Marc Amyot, Michael J. Palmer, Alain Rolland, Maikel Rosabal, John Chételat
article en
1 citations

Abstract

The subcellular partitioning of trace elements (TEs) may depend on their binding preferences, although few field data are available from mining-impacted areas. Northern pike and lake whitefish were collected from different aquatic systems located in the Yellowknife mining area (Northwest Territories, Canada) to examine the subcellular partitioning of TEs in liver cells. Elements belonging to metal classes based on binding affinities were considered: A (Ce, La), borderline (As, Pb), and class B (Ag, Cd). Measurements in the metal-detoxified fractions (granule-like structures and heat-stable proteins and peptides) and in the putative metal-sensitive fractions (heat-denatured proteins, mitochondria and microsomes, and lysosomes) revealed marked differences among metal classes. In both fish species, Cd and Ag accumulated more as detoxified forms (higher than 50%, likely bound to metallothionein-like proteins) than La and Ce (not more than 20%). The two borderline TEs (As and Pb) showed an intermediate behavior between classes A and B. Similar proportions were found in the "sensitive" subcellular fractions for all TEs, where quantitative ion character-activity relationships (QICARs) indicated the covalent index and electronegativity as predictors of the TE contribution in this compartment. This study supports the use of classes of metals to predict the toxicological risk of data-poor metals in mining areas.

ToxicsVol. 13(5)
Environment and Climate Change Canada (CA), Université du Québec à Montréal (CA), Aurora College (CA), Université de Montréal (CA)
Openalex Percentile: Top 40%
Heavy metals in environment
0.50
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