# Prediction of the Quantitative Biodistribution of Inhaled Titanium Dioxide Nanoparticles Using the Physiologically Based Toxicokinetic Modelling Method

## TL;DR

This study developed a model to predict how inhaled titanium dioxide nanoparticles spread in rat bodies, helping understand their health effects.

## Contribution

A PBTK model was developed to predict TiO2-NP biodistribution in rats, offering a computational tool for cross-species extrapolation.

## Key findings

- The PBTK model accurately predicted TiO2-NP distribution in rat organs with simulated values within 0.5- to 2-fold of measured data.
- The alveolar–interstitial transfer rate and tissue–blood distribution coefficients significantly influenced nanoparticle retention and distribution.
- The model showed good fit with experimental data (R2 of 0.95 in respiratory system and 0.88 in secondary organs).

## Abstract

The present study aimed to establish a physiologically based toxicokinetic (PBTK) model to investigate the absorption, retention, and transport of inhaled nano-sized titanium dioxide (TiO2-NPs) particles in rats, thereby providing a basis for understanding the absorption, distribution, and elimination mechanisms of TiO2-NPs in various organs. A detailed respiratory module and the Hill coefficient equation were adopted in the PBTK model. Calibration and validation of the model were conducted using the only two available inhalation biodistribution datasets for TiO2-NPs found in the literature, encompassing different doses and exposure conditions. The overall fit with both datasets was acceptable with R2 value of 0.95 in respiratory system and 0.88 in the secondary organs. The sensitivity analysis indicated that the alveolar–interstitial transfer rate (Kalv_inter) and tissue–blood distribution coefficients (Plu, Pli, Pki) significantly influenced the retention of TiO2-NPs in pulmonary regions and distribution to secondary organs, with these parameters exhibiting time-dependent behavior. The PBTK model demonstrates a good predictive performance for TiO2-NPs content in all rat organs, with simulated values consistently ranging within 0.5- to 2-fold of the measured data. In last, we developed a PBTK model that can well predict the in vivo distribution of inhaled TiO2-NPs and provided a novel computational tool for cross-species extrapolation of human inhalation exposure and subsequent biodistribution.