Endocytosis mechanism in physiologically-based pharmacokinetic modeling of nanoparticles (2023)

The increasing intentional and non-intentional exposure to nanoparticles (NPs) has raised the interest concerning their fate and biodistribution in the body of animals and humans after inhalation. In this context, Physiologically Based (pharmaco)Kinetic (PBK) modelling has emerged as an in silico approach that simulates the biodistribution kinetics of NPs in the body using mathematical equations. Due to restrictions in data availability, such models are first developed for rats or mice. In this work, we present the interspecies extrapolation of a PBK model initially developed for rats, in order to estimate the biodistribution of inhaled gold NPs (AuNPs) in humans. The extrapolation framework is validated by comparing the model results with experimental data from a clinical study performed on humans for inhaled AuNPs of two different sizes, namely 34nm and 4nm. The novelty of this work lies in the extrapolation of a PBK model for inhaled AuNPs to humans and comparison with clinical data. The extrapolated model is in good agreement with the experimental data, and provides insights for the mechanisms of inhaled AuNP translocation to the blood circulation, after inhalation. Finally, the biodistribution of the two sizes of AuNPs in the human body after 28days post-exposure is estimated by the model and discussed.

A substantial part of the plastic produced worldwide ends up in the environment and degrades into nano- and microplastics. The particles are ubiquitously present in the air and enter the food production chain as contaminants. Ingestion of nano- and microplastics present in food and drinking water, or those present in swallowed lung mucus that contain trapped particles, represent the main route of human exposure. Yet much remains to be studied on the intestinal uptake by humans and the potential this exposure has to result in adverse health effects. Here we review the current knowledge and relate this to lessons learned from the field of nanotoxicology. We discuss how in vitro and in silico approaches can be used to support the risk assessment of nano- and microplastics.

European Journal of Pharmaceutical Sciences, Volume 113, 2018, pp. 41-52

Food and Chemical Toxicology, Volume 97, 2016, pp. 327-335

Silver nanoparticles are advertised as antimicrobial agents in a wide range of products. The majority of available studies suggest that silver nanoparticle toxicity is mainly caused by silver ions released from the particles. However, it remains challenging to distinguish between the effect of silver nanoparticles and silver ions. Here we used a combination of a short-term invivo study in rats and an in silico-based toxicokinetic model to determine tissue distribution of administered ionic and nanoparticulate silver, and to estimate mixture ratios of the different silver species, namely primary nanoparticles, ions and secondary particles. Our data indicate that silver nanoparticles and silver ions are not or only marginally bioavailable after oral ingestion of a single, non-toxic dose. Experimental data on organ distribution after intravenous injection were accurately reflected by the predictions of the in silico model. Toxicokinetic modeling suggests systemic distribution of a major proportion of the injected ionic silver as de novo formed secondary nanoparticles, and the presence of such particles was proven by electron microscopy. The observation that silver ions form secondary particles, underlines the difficulties in distinguishing between particle- and ion-dependent effects of silver nanoparticles.

Science of The Total Environment, Volume 657, 2019, pp. 819-826

Although health benefits of physical activity are well known, the risk of physical activity in polluted air is unclear. Our objective is to investigate health effects resulting from physical activity in polluted air by looking at particle deposition in human tracheobronchial (TB) airways. Airflow and particle deposition in TB airways were investigated using a computational fluid dynamics (CFD) method. We chose three regional airways: upper (G3–G5), central (G9–G11) and lower (G14–G16). Physical activity was described by breathing rate at the mouth, for three levels of activity: sedentary (15 l/min), moderate (30 l/min) and intense (60 l/min). We found that particle deposition was strongly affected by physical activity. Particles are deposited in greater number in the lower airways (G14–G16) during sedentary activity, more in the upper airways (G3–G5) during intense activity, and uniformly in the airways during moderate activity. The difference in the deposition pattern was due to the reason that physical activity increased the airflow which increased inertial impaction. Our modeling of particle deposition in the human respiratory airways shows that there are different health effects for different activity levels: sedentary activity leads to chronic health effects, intense activity results in acute effects, and moderate activity minimizes the adverse health effects of physical activity in polluted air.

Toxicology and Applied Pharmacology, Volume 334, 2017, pp. 47-54

We examine the toxicity of titanium dioxide (TiO₂) nanoparticles on human liver through a two-step approach, including a physiologically-based pharmacokinetic (PBPK) model and a cell-response model. The PBPK model predicts the bio-distribution of nanoparticles that remain in the human body after exposure, with special attention to their accumulation in liver tissue. The cell-response model predicts liver cell death as a consequence of the accumulated TiO₂ nanoparticles by considering cell fate dynamics through the interplay between cellular uptake of the nanoparticles and their dilution due to cell division. The results suggest that tissue damage from a low nanoparticle dose is negligible due to renewal cell division, but for higher doses larger fractions of cells must participate in the cell cycle to recover the original tissue mass. By combining the two models, it becomes possible to explain the liver cell viability and cell death after TiO₂ nanoparticle exposure.

Environment International, Volume 154, 2021, Article 106557

This study describes the development and intercomparison of generic physiologically-based toxicokinetic (PBTK) models for humans comprised of internally consistent one-compartment (1Co-) and multi-compartment (MCo-) implementations (G-PBTK). The G-PBTK models were parameterized for an adult male (70kg) using common physiological parameters and in vitro biotransformation rate estimates and subsequently evaluated using independent concentration versus time data (n=6) and total elimination half-lives (n=15) for diverse organic chemicals. The model performance is acceptable considering the inherent uncertainty in the biotransformation rate data and the absence of model calibration. The G-PBTK model was then applied using hypothetical neutral organics, acidic ionizable organics and basic ionizable organics (IOCs) to identify combinations of partitioning properties and biotransformation rates leading to substantial discrepancies between 1Co- and MCo-PBTK calculations for whole body concentrations and half-lives. The 1Co- and MCo-PBTK model calculations for key toxicokinetic parameters are broadly consistent unless biotransformation is rapid (e.g., half-life less than five days). When half-lives are relatively short, discrepancies are greatest for the neutral organics and least for the acidic IOCs which follows from the estimated volumes of distribution (e.g., VD_SS=9.6–15.4L/kg vs 0.3–1.6L/kg for the neutral and acidic compounds respectively) and the related approach to internal chemical equilibrium. The model intercomparisons demonstrate that 1Co-PBTK models can be applied with confidence to many exposure scenarios, particularly those focused on chronic or repeat exposures and for prioritization and screening-level decision contexts. However, MCo-PBTK models may be necessary in certain contexts, particularly for intermittent, short-term and highly variable exposures. A key recommendation to guide model selection and the development of tiered PBTK modeling frameworks that emerges from this study is the need to harmonize models with respect to parameterization and process descriptions to the greatest extent possible when proceeding from the application of simpler to more complex modeling tools as part of chemical assessment activities.

Regulatory Toxicology and Pharmacology, Volume 73, Issue 1, 2015, pp. 151-163

Biomathematical modeling quantitatively describes the disposition of metal nanoparticles in lungs and other organs of rats. In a preliminary model, adjustable parameters were calibrated to each of three data sets using a deterministic approach, with optimal values varying among the different data sets. In the current effort, Bayesian population analysis using Markov chain Monte Carlo (MCMC) simulation was used to recalibrate the model while improving assessments of parameter variability and uncertainty. The previously-developed model structure and some physiological parameter values were modified to improve physiological realism. The data from one of the three previously-identified studies and from two other studies were used for model calibration. The data from the one study that adequately characterized mass balance were used to generate parameter distributions. When data from a second study of the same nanomaterial (iridium) were added, the level of agreement was still acceptable. Addition of another data set (for silver nanoparticles) led to substantially lower precision in parameter estimates and large discrepancies between the model predictions and experimental data for silver nanoparticles. Additional toxicokinetic data are needed to further evaluate the model structure and performance and to reduce uncertainty in the kinetic processes governing invivo disposition of metal nanoparticles.