Literature DB >> 22688900

Physiologically based pharmacokinetic model for composite nanodevices: effect of charge and size on in vivo disposition.

Donald E Mager1, Vidhi Mody, Chao Xu, Alan Forrest, Wojciech G Lesniak, Shraddha S Nigavekar, Muhammed T Kariapper, Leah Minc, Mohamed K Khan, Lajos P Balogh.   

Abstract

PURPOSE: To characterize temporal exposure and elimination of 5 gold/dendrimer composite nanodevices (CNDs) (5 nm positive, negative, and neutral, 11 nm negative, 22 nm positive) in mice using a physiologically based mathematical model.
METHODS: 400 ug of CNDs is injected intravenously to mice bearing melanoma cell lines. Gold content is determined from plasma and tissue samples using neutron activation analysis. A physiologically based pharmacokinetic (PBPK) model is developed for 5 nm positive, negative, and neutral and 11 nm negative nanoparticles and extrapolated to 22 nm positive particles. A global sensitivity analysis is performed for estimated model parameters.
RESULTS: Negative and neutral particles exhibited similar distribution profiles. Unique model parameter estimates and distribution profiles explain similarities and differences relative to positive particles. The model also explains mechanisms of elimination by kidney and reticuloendothelial uptake in liver and spleen, which varies with particle size and charge.
CONCLUSION: Since the PBPK model can capture the diverse temporal profiles of non-targeted nanoparticles, we propose that when specific binding ligands are lacking, size and charge of nanodevices govern most of their in vivo interactions.

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Year:  2012        PMID: 22688900     DOI: 10.1007/s11095-012-0784-7

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  32 in total

1.  Sensitivity analysis of pharmacokinetic and pharmacodynamic systems: I. A structural approach to sensitivity analysis of physiologically based pharmacokinetic models.

Authors:  I A Nestorov
Journal:  J Pharmacokinet Biopharm       Date:  1999-12

Review 2.  Whole body pharmacokinetic models.

Authors:  Ivan Nestorov
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

Review 3.  Opsonization, biodistribution, and pharmacokinetics of polymeric nanoparticles.

Authors:  Donald E Owens; Nicholas A Peppas
Journal:  Int J Pharm       Date:  2005-11-21       Impact factor: 5.875

Review 4.  Clearance properties of nano-sized particles and molecules as imaging agents: considerations and caveats.

Authors:  Michelle Longmire; Peter L Choyke; Hisataka Kobayashi
Journal:  Nanomedicine (Lond)       Date:  2008-10       Impact factor: 5.307

5.  3H dendrimer nanoparticle organ/tumor distribution.

Authors:  Shraddha S Nigavekar; Lok Yun Sung; Mikel Llanes; Areej El-Jawahri; Theodore S Lawrence; Christopher W Becker; Lajos Balogh; Mohamed K Khan
Journal:  Pharm Res       Date:  2004-03       Impact factor: 4.200

6.  Physicochemical determinants of human renal clearance.

Authors:  Manthena V S Varma; Bo Feng; R Scott Obach; Matthew D Troutman; Jonathan Chupka; Howard R Miller; Ayman El-Kattan
Journal:  J Med Chem       Date:  2009-08-13       Impact factor: 7.446

7.  Tuning payload delivery in tumour cylindroids using gold nanoparticles.

Authors:  Byoungjin Kim; Gang Han; Bhushan J Toley; Chae-Kyu Kim; Vincent M Rotello; Neil S Forbes
Journal:  Nat Nanotechnol       Date:  2010-04-11       Impact factor: 39.213

8.  Assessing drug distribution in tissues expressing P-glycoprotein using physiologically based pharmacokinetic modeling: identification of important model parameters through global sensitivity analysis.

Authors:  Frederique Fenneteau; Jun Li; Fahima Nekka
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-10-22       Impact factor: 2.745

9.  Liposome formulations with prolonged circulation time in blood and enhanced uptake by tumors.

Authors:  A Gabizon; D Papahadjopoulos
Journal:  Proc Natl Acad Sci U S A       Date:  1988-09       Impact factor: 11.205

10.  Dendrimer-entrapped gold nanoparticles as a platform for cancer-cell targeting and imaging.

Authors:  Xiangyang Shi; Suhe Wang; Sasha Meshinchi; Mary E Van Antwerp; Xiangdong Bi; Inhan Lee; James R Baker
Journal:  Small       Date:  2007-07       Impact factor: 13.281

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  15 in total

Review 1.  Physiologically Based Pharmacokinetic (PBPK) Modeling of Pharmaceutical Nanoparticles.

Authors:  Min Li; Peng Zou; Katherine Tyner; Sau Lee
Journal:  AAPS J       Date:  2016-11-10       Impact factor: 4.009

2.  Biodistribution of fluorescently labeled PAMAM dendrimers in neonatal rabbits: effect of neuroinflammation.

Authors:  Wojciech G Lesniak; Manoj K Mishra; Amar Jyoti; Bindu Balakrishnan; Fan Zhang; Elizabeth Nance; Roberto Romero; Sujatha Kannan; Rangaramanujam M Kannan
Journal:  Mol Pharm       Date:  2013-10-30       Impact factor: 4.939

Review 3.  Optimizing nanomedicine pharmacokinetics using physiologically based pharmacokinetics modelling.

Authors:  Darren Michael Moss; Marco Siccardi
Journal:  Br J Pharmacol       Date:  2014-07-02       Impact factor: 8.739

Review 4.  Challenges and opportunities in metastatic breast cancer treatments: Nano-drug combinations delivered preferentially to metastatic cells may enhance therapeutic response.

Authors:  Jesse Yu; Qingxin Mu; Millie Fung; Xiaolin Xu; Linxi Zhu; Rodney J Y Ho
Journal:  Pharmacol Ther       Date:  2022-01-06       Impact factor: 13.400

5.  Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches.

Authors:  Zhoumeng Lin; Wei-Chun Chou; Yi-Hsien Cheng; Chunla He; Nancy A Monteiro-Riviere; Jim E Riviere
Journal:  Int J Nanomedicine       Date:  2022-03-24

6.  A Physiologically Based Pharmacokinetic Model of Amiodarone and its Metabolite Desethylamiodarone in Rats: Pooled Analysis of Published Data.

Authors:  Jing-Tao Lu; Ying Cai; Feng Chen; Wei-Wei Jia; Zhe-Yi Hu; Yuan-Sheng Zhao
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2016-12       Impact factor: 2.441

Review 7.  Prediction of drug disposition on the basis of its chemical structure.

Authors:  David Stepensky
Journal:  Clin Pharmacokinet       Date:  2013-06       Impact factor: 6.447

Review 8.  Engineered nanomaterial uptake and tissue distribution: from cell to organism.

Authors:  Helene Kettiger; Angela Schipanski; Peter Wick; Jörg Huwyler
Journal:  Int J Nanomedicine       Date:  2013-08-27

9.  Toward a general physiologically-based pharmacokinetic model for intravenously injected nanoparticles.

Authors:  Ulrika Carlander; Dingsheng Li; Olivier Jolliet; Claude Emond; Gunnar Johanson
Journal:  Int J Nanomedicine       Date:  2016-02-11

10.  Physiologically based pharmacokinetic modeling of nanoceria systemic distribution in rats suggests dose- and route-dependent biokinetics.

Authors:  Ulrika Carlander; Tshepo Paulsen Moto; Anteneh Assefa Desalegn; Robert A Yokel; Gunnar Johanson
Journal:  Int J Nanomedicine       Date:  2018-05-01
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