Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies. (21st April 2020)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: Wiley interdisciplinary reviews. Volume 12:Number 5(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-04-21
• Subjects: mathematical modeling -- monoclonal antibodies -- nanoparticles -- noninvasive imaging -- pharmacokinetics; Nanomedicine -- Periodicals; Nanotechnology -- Periodicals; Biotechnology -- Periodicals; Ultrastructure (Biology) -- Periodicals; 610.28
• DOI: 10.1002/wnan.1628
• Languages: English
• ISSNs: 1939-5116

Abstract

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 Abstract : Pharmacological evaluation of nanoparticles and antibodies performed through quantitative imaging‐guided mathematical models.