This Article Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Shelley, M. L. Articles by Bleckmann, C. Search for Related Content PubMed PubMed Citation Articles by Shelley, M. L. Articles by Bleckmann, C. Social Bookmarking                         What's this?

Modeling the In Vivo Case with In Vitro Nanotoxicity Data

Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio, USA

Saber M. Hussain

Applied Biotechnology Branch, Human Effectiveness Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, USA

Charles Bleckmann

Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio, USA

Correspondence: Address correspondence to Michael L. Shelley, AFIT/ENV, 2950 Hobson Way, Wright-Patterson Air Force Base, OH 45433, USA. E-mail:Michael.Shelley{at}afit.edu

As more in vitro nanotoxicity data appear in the literature, these findings must be translated to in vivo effects to define nanoparticle exposure risk. Physiologically based pharmacokinetic (PBPK) modeling has played a significant role in guiding and validating in vivo studies for molecular chemical exposure and can develop as a significant tool in guiding similar nanotoxicity studies. This study models the population dynamics of a single cell type within a specific tissue. It is the first attempt to model the in vitro effects of a nanoparticle exposure, in this case aluminum (80 nm) and its impact on a population of rat alveolar macrophages (Wagner et al. 2007, J. Phys. Chem. B 111:7353–7359). The model demonstrates how in vitro data can be used within a simulation setting of in vivo cell dynamics and suggests that PBPK models should be developed quickly to interpret nanotoxicity data, guide in vivo study design, and accelerate nanoparticle risk assessment.

Key Words: Aluminum • Immunodeficiency • Lung • Nanoparticles • Nanotoxicity • Physiologically Based Pharmacokinetic Modeling

International Journal of Toxicology, Vol. 27, No. 5, 359-367 (2008)
DOI: 10.1080/10915810802503487


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?