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Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies

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 na...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507140/
https://www.ncbi.nlm.nih.gov/pubmed/32314552
http://dx.doi.org/10.1002/wnan.1628
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author 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
author_facet 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
author_sort Dogra, Prashant
collection PubMed
description 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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spelling pubmed-75071402020-09-28 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 Wiley Interdiscip Rev Nanomed Nanobiotechnol Advanced Reviews 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. John Wiley & Sons, Inc. 2020-04-21 2020 /pmc/articles/PMC7507140/ /pubmed/32314552 http://dx.doi.org/10.1002/wnan.1628 Text en © 2020 The Authors. WIREs Nanomedicine and Nanobiotechnology published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Advanced Reviews
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
Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies
title Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies
title_full Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies
title_fullStr Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies
title_full_unstemmed Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies
title_short Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies
title_sort image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies
topic Advanced Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507140/
https://www.ncbi.nlm.nih.gov/pubmed/32314552
http://dx.doi.org/10.1002/wnan.1628
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