Recent developments in the field of nanotechnology involving the synthesis of novel nanomaterials (NM) have attracted the attention of numerous scientists owing to the possibility of degradative perturbations in human health. This Review evaluates previous investigations related to NM toxicity studies using biological models and describes the limitations that often prevent toxicologists from identifying whether NM pose a real hazard to human health. One major limitation to assess toxicity is the characterization of the NM prior to and after exposure to living cells or animals. The most relevant physicochemical characteristics of NM are: size, surface chemistry, crystallinity, morphology, solubility, aggregation tendency, homogeneity of dispersions, and turbidity. All of these properties need to be assessed in order to determine their contribution to toxicity. Due to the lack of appropriate methods to determine the physicochemical nature of nanoparticles in biological systems, the exact nature of NM toxicity is not fully described or understood at this time. This Review emphasizes the need for state‐of‐the‐art physicochemical characterization, the determination of appropriate exposure protocols and reliable methods for assessing NM internalization and their kinetics in living organisms. Once these issues are addressed, optimal experimental conditions could be established in order to identify if NM pose a threat to human health. Multidisciplinary research between materials scientists and life scientists should overcome these limitations in identifying the true hazards of NM.

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Perchlorate (ClO4-), a contaminant in drinking water, competitively inhibits active uptake of iodide (I-) into various tissues, including mammary tissue. During postnatal development, inhibition of I- uptake in the mammary gland and neonatal thyroid and the active concentration ClO4- in milk indicate a potentially increased susceptibility of neonates to endocrine disruption. A physiologically based pharmacokinetic (PBPK) model was developed to reproduce measured ClO4- distribution in the lactating and neonatal rat and predict resulting effects on I- kinetics from competitive inhibition at the sodium iodide symporter (NIS). Kinetic I- and ClO4- behavior in tissues with NIS (thyroid, stomach, mammary gland, and skin) was simulated with multiple subcompartments, Michaelis-Menten (M-M) kinetics and competitive inhibition. Physiological and kinetic parameters were obtained from literature and experiment. Systemic clearance and M-M parameters were estimated by fitting simulations to tissue and serum data. The model successfully describes maternal and neonatal thyroid, stomach, skin, and plasma, as well as maternal mammary gland and milk data after ClO4- exposure (from 0.01 to 10 mg/kg-day ClO4-) and acute radioiodide (2.1 to 33,000 ng/kg I-) dosing. The model also predicts I- uptake inhibition in the maternal thyroid, mammary gland, and milk. Model simulations predict a significant transfer of ClO4- through milk after maternal exposure; approximately 50% to 6% of the daily maternal dose at doses ranging from 0.01 to 10.0 mg ClO4-/kg-day, respectively. Comparison of predicted dosimetrics across life-stages in the rat indicates that neonatal thyroid I- uptake inhibition is similar to the adult and approximately tenfold less than the fetus.

Due to perchlorate's (ClO4-) ability to competitively inhibit thyroid iodide (I-) uptake through the sodium-iodide symporter (NIS), potential human health risks exist from chronic exposure via drinking water. Such risks may include hypothyroidism, goiter, and mental retardation (if exposure occurs during critical periods in neurodevelopment). To aid in predicting perchlorate's effect on normal I- kinetics, we developed a physiologically-based pharmacokinetic (PBPK) model for the adult male rat. The model structure describes simultaneous kinetics for both anions together with their interaction at the NIS, in particular, the inhibition of I- uptake by ClO4-. Subcompartments and Michaelis-Menten (M-M) kinetics were used to describe active uptake of both anions in the thyroid, stomach, and skin. Separate compartments for kidney, liver, plasma, and fat were described by passive diffusion. The model successfully predicts both 36ClO4- and 125I- kinetics after iv doses of 3.3 mg/kg and 33 mg/kg, respectively, as well as inhibition of thyroid 125I- uptake by ClO4- after iv doses of ClO4- (0.01 to 3.0 mg/kg). The model also predicts serum and thyroid ClO4- concentrations from 14-day drinking water exposures (0.01 to 30.0 mg ClO4-/kg/day) and compensation of perchlorate-induced inhibition of radioiodide uptake due to upregulation of the thyroid. The model can be used to extrapolate dose metrics and correlate observed effects in perchlorate toxicity studies to other species and life stages, such as rat gestation (Clewell et al., 2003). Because the model successfully predicts perchlorate's interaction with iodide, it provides a sound basis for future incorporation of the complex hypothalamic-pituitary-thyroid feedback system.

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Multiple oximes have been synthesized and evaluated for use as countermeasures against chemical warfare nerve agents. The current U.S. military and civilian oxime countermeasure, 2-[(hydroxyimino)methyl]-1-methylpyridin-1-ium chloride (2-PAM), is under consideration for replacement with a more effective acetylcholinesterase reactivator, 1,1'-methylenebis{4-hydroxyiminomethyl}pyridinium dimethanesulfonate (MMB-4). Kinetic data in the scientific literature for MMB-4 are limited; therefore, a physiologically based pharmacokinetic (PBPK) model was developed for a structurally related oxime, 1,1'-trimethylenebis{4-hydroximinomethyl}pyridinium dibromide. Based on a previous model structure for the organophosphate diisopropylfluorophosphate, the model includes key sites of acetylcholinesterase inhibition (brain and diaphragm), as well as fat, kidney, liver, rapidly perfused tissues and slowly perfused tissues. All tissue compartments are diffusion limited. Model parameters were collected from the literature, predicted using quantitative structure-property relationships or, when necessary, fit to available pharmacokinetic data from the literature. The model was parameterized using rat plasma, tissue and urine time course data from intramuscular administration, as well as human blood and urine data from intravenous and intramuscular administration; sensitivity analyses were performed. The PBPK model successfully simulates rat and human data sets and has been evaluated by predicting intravenous mouse and intramuscular human data not used in the development of the model. Monte Carlo analyses were performed to quantify human population kinetic variability in the human evaluation data set. The model identifies potential pharmacokinetic differences between rodents and humans, indicated by differences in model parameters between species. The PBPK model can be used to optimize the dosing regimen to improve oxime therapeutic efficacy in a human population.

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