@article{EbertMeyerLeffersetal.2016,
  author    = {Ebert, Franziska and Meyer, S{\"o}ren and Leffers, Larissa and Raber, Georg and Francesconi, Kevin A. and Schwerdtle, Tanja},
  title     = {Toxicological characterisation of a thio-arsenosugar-glycerol in human cells},
  series = {Journal of trace elements in medicine and biology},
  volume    = {38},
  journal   = {Journal of trace elements in medicine and biology},
  publisher = {Springer Publishing Company},
  address   = {Jena},
  issn      = {0946-672X},
  doi       = {10.1016/j.jtemb.2016.04.013},
  pages     = {150 -- 156},
  year      = {2016},
  abstract  = {Arsenosugars are water-soluble arsenic species predominant in marine algae and other seafood including mussels and oysters. They typically occur at levels ranging from 2 to 50 mg arsenic/kg dry weight. Most of the arsenosugars contain arsenic as a dimethylarsinoyl group (Me2As(O)-), commonly referred to as the oxo forms, but thio analogues have also been identified in marine organisms and as metabolic products of oxo-arsenosugars. So far, no data regarding toxicity and toxicokinetics of thio-arsenosugars are available. This in vitro-based study indicates that thio-dimethylarsenosugar-glycerol exerts neither pronounced cytotoxicity nor genotoxicity even though this arsenical was bioavailable to human hepatic (HepG2) and urothelial (UROtsa) cells. Experiments with the Caco-2 intestinal barrier model mimicking human absorption indicate for the thio-arsenosugar-glycerol higher intestinal bioavailability as compared to the oxo-arsenosugars. Nevertheless, absorption estimates were much lower in comparison to other arsenicals including arsenite and arsenic-containing hydrocarbons. Arsenic speciation in cell lysates revealed that HepG2 cells are able to metabolise the thio-arsenosugar-glycerol to some extent to dimethylarsinic acid (DMA). These first in vitro data cannot fully exclude risks to human health related to the presence of thio-arsenosugars in food. (C) 2016 Elsevier GmbH. All rights reserved.},
  language  = {en}
}
@article{HetheyHartungWangorschetal.2021,
  author    = {Hethey, Christoph Philipp and Hartung, Niklas and Wangorsch, Gaby and Weisser, Karin and Huisinga, Wilhelm},
  title     = {Physiology-based toxicokinetic modelling of aluminium in rat and man},
  series = {Archives of toxicology : official journal of EUROTOX},
  volume    = {95},
  journal   = {Archives of toxicology : official journal of EUROTOX},
  number    = {9},
  publisher = {Springer},
  address   = {Berlin ; Heidelberg},
  issn      = {0340-5761},
  doi       = {10.1007/s00204-021-03107-y},
  pages     = {2977 -- 3000},
  year      = {2021},
  abstract  = {A sufficient quantitative understanding of aluminium (Al) toxicokinetics (TK) in man is still lacking, although highly desirable for risk assessment of Al exposure. Baseline exposure and the risk of contamination severely limit the feasibility of TK studies administering the naturally occurring isotope Al-27, both in animals and man. These limitations are absent in studies with Al-26 as a tracer, but tissue data are limited to animal studies. A TK model capable of inter-species translation to make valid predictions of Al levels in humans-especially in toxicological relevant tissues like bone and brain-is urgently needed. Here, we present: (i) a curated dataset which comprises all eligible studies with single doses of Al-26 tracer administered as citrate or chloride salts orally and/or intravenously to rats and humans, including ultra-long-term kinetic profiles for plasma, blood, liver, spleen, muscle, bone, brain, kidney, and urine up to 150 weeks; and (ii) the development of a physiology-based (PB) model for Al TK after intravenous and oral administration of aqueous Al citrate and Al chloride solutions in rats and humans. Based on the comprehensive curated Al-26 dataset, we estimated substance-dependent parameters within a non-linear mixed-effect modelling context. The model fitted the heterogeneous Al-26 data very well and was successfully validated against datasets in rats and humans. The presented PBTK model for Al, based on the most extensive and diverse dataset of Al exposure to date, constitutes a major advancement in the field, thereby paving the way towards a more quantitative risk assessment in humans.},
  language  = {en}
}