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Image-guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies.
Dogra, Prashant; Butner, Joseph D; Nizzero, Sara; Ruiz Ramírez, Javier; Noureddine, Achraf; Peláez, María J; Elganainy, Dalia; Yang, Zhen; Le, Anh-Dung; Goel, Shreya; Leong, Hon S; Koay, Eugene J; Brinker, C Jeffrey; Cristini, Vittorio; Wang, Zhihui.
Afiliação
  • Dogra P; Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA.
  • Butner JD; Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA.
  • Nizzero S; Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA.
  • Ruiz Ramírez J; Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA.
  • Noureddine A; Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, New Mexico, USA.
  • Peláez MJ; Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA.
  • Elganainy D; Applied Physics Graduate Program, Rice University, Houston, Texas, USA.
  • Yang Z; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Le AD; Center for Bioenergetics, Houston Methodist Research Institute, Houston, Texas, USA.
  • Goel S; Nanoscience and Microsystems Engineering, University of New Mexico, Albuquerque, New Mexico, USA.
  • Leong HS; Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Koay EJ; Biological Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Brinker CJ; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
  • Cristini V; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Wang Z; Department of Chemical and Biological Engineering and UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico, USA.
Article em En | MEDLINE | ID: mdl-32314552
ABSTRACT
While plasma concentration kinetics has traditionally been the predictor of drug pharmacological effects, it can occasionally fail to represent kinetics at the site of action, particularly for solid tumors. This is especially true in the case of delivery of therapeutic macromolecules (drug-loaded nanomaterials or monoclonal antibodies), which can experience challenges to effective delivery due to particle size-dependent diffusion barriers at the target site. As a result, disparity between therapeutic plasma kinetics and kinetics at the site of action may exist, highlighting the importance of target site concentration kinetics in determining the pharmacodynamic effects of macromolecular therapeutic agents. Assessment of concentration kinetics at the target site has been facilitated by non-invasive in vivo imaging modalities. This allows for visualization and quantification of the whole-body disposition behavior of therapeutics that is essential for a comprehensive understanding of their pharmacokinetics and pharmacodynamics. Quantitative non-invasive imaging can also help guide the development and parameterization of mathematical models for descriptive and predictive purposes. Here, we present a review of the application of state-of-the-art imaging modalities for quantitative pharmacological evaluation of therapeutic nanoparticles and monoclonal antibodies, with a focus on their integration with mathematical models, and identify challenges and opportunities. This article is categorized under Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease Diagnostic Tools > in vivo Nanodiagnostics and Imaging Nanotechnology Approaches to Biology > Nanoscale Systems in Biology.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Nanoestruturas / Anticorpos Monoclonais Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Wiley Interdiscip Rev Nanomed Nanobiotechnol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Nanoestruturas / Anticorpos Monoclonais Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Wiley Interdiscip Rev Nanomed Nanobiotechnol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos