Rolland Aymeric, Palmer Mike, Chételat John, Amyot Marc, Rosabal Maikel
Groupe de Recherche Interuniversitaire en Limnologie (GRIL), Département des Sciences Biologiques, Université du Québec à Montréal (UQAM), Montréal, QC H2X 1Y4, Canada.
North Slave Research Centre, Aurora Research Institute, Aurora College, Yellowknife, NT X1A 2R3, Canada.
Toxics. 2025 May 19;13(5):410. doi: 10.3390/toxics13050410.
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.
微量元素(TEs)的亚细胞分配可能取决于它们的结合偏好,尽管从受采矿影响的地区获得的现场数据很少。从位于加拿大西北地区耶洛奈夫矿区的不同水生系统中采集了白斑狗鱼和湖白鲑,以研究肝细胞中TEs的亚细胞分配。根据结合亲和力考虑了属于金属类别的元素:A类(铈、镧)、边界类(砷、铅)和B类(银、镉)。对金属解毒部分(颗粒状结构以及热稳定蛋白和肽)和假定的金属敏感部分(热变性蛋白、线粒体和微粒体以及溶酶体)的测量揭示了不同金属类别之间的显著差异。在这两种鱼类中,镉和银以解毒形式积累的比例更高(高于50%,可能与类金属硫蛋白结合),而镧和铈的积累比例则不超过20%。两种边界TEs(砷和铅)表现出介于A类和B类之间的中间行为。在所有TEs的“敏感”亚细胞部分中发现了相似的比例,其中定量离子特征-活性关系(QICARs)表明共价指数和电负性是该部分中TE贡献的预测指标。本研究支持使用金属类别来预测矿区数据匮乏金属的毒理学风险。