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Article: Physiologically based pharmacokinetic modeling of nanoparticles

TitlePhysiologically based pharmacokinetic modeling of nanoparticles
Authors
KeywordsADME
Biodistribution
Mathematical simulation
Nanoparticles
PBPK
Pharmacokinetics
Toxicity
Issue Date2010
Citation
ACS Nano, 2010, v. 4, n. 11, p. 6303-6317 How to Cite?
AbstractRapid expansion of nanoparticle research demands new technologies that will enable better interpretation of experimental data and assistance in the rational design of future nanoparticles. The use of physiologically based pharmacokinetic (PBPK) models may serve as powerful tools to meet these needs. PBPK models have been successfully applied for the study of the absorption, distribution, metabolism, and excretion (ADME) of small molecules, such as drugs. Preliminary application of PBPK models to nanoparticles illustrated their potential usefulness for nanoparticle ADME research. However, due to the differences between nanoparticles and small molecules, modifications are needed to build appropriate PBPK models for nanoparticles. This review is divided into two sections, with the first discussing nanoparticle ADME research, emphasizing the interaction of nanoparticles with living systems, including transportation kinetics across biobarriers. In the second section, the basic principles of PBPK model development are introduced, and research pertaining to PBPK models of nanoparticles is reviewed. Factors that need to be considered for developing PBPK models for nanoparticles are also discussed. Finally, perspective applications of nanoparticle PBPK models are summarized. © 2010 American Chemical Society.
Persistent Identifierhttp://hdl.handle.net/10722/348932
ISSN
2023 Impact Factor: 15.8
2023 SCImago Journal Rankings: 4.593

 

DC FieldValueLanguage
dc.contributor.authorLi, Mingguang-
dc.contributor.authorAl-Jamal, Khuloud T.-
dc.contributor.authorKostarelos, Kostas-
dc.contributor.authorReineke, Joshua-
dc.date.accessioned2024-10-17T06:55:01Z-
dc.date.available2024-10-17T06:55:01Z-
dc.date.issued2010-
dc.identifier.citationACS Nano, 2010, v. 4, n. 11, p. 6303-6317-
dc.identifier.issn1936-0851-
dc.identifier.urihttp://hdl.handle.net/10722/348932-
dc.description.abstractRapid expansion of nanoparticle research demands new technologies that will enable better interpretation of experimental data and assistance in the rational design of future nanoparticles. The use of physiologically based pharmacokinetic (PBPK) models may serve as powerful tools to meet these needs. PBPK models have been successfully applied for the study of the absorption, distribution, metabolism, and excretion (ADME) of small molecules, such as drugs. Preliminary application of PBPK models to nanoparticles illustrated their potential usefulness for nanoparticle ADME research. However, due to the differences between nanoparticles and small molecules, modifications are needed to build appropriate PBPK models for nanoparticles. This review is divided into two sections, with the first discussing nanoparticle ADME research, emphasizing the interaction of nanoparticles with living systems, including transportation kinetics across biobarriers. In the second section, the basic principles of PBPK model development are introduced, and research pertaining to PBPK models of nanoparticles is reviewed. Factors that need to be considered for developing PBPK models for nanoparticles are also discussed. Finally, perspective applications of nanoparticle PBPK models are summarized. © 2010 American Chemical Society.-
dc.languageeng-
dc.relation.ispartofACS Nano-
dc.subjectADME-
dc.subjectBiodistribution-
dc.subjectMathematical simulation-
dc.subjectNanoparticles-
dc.subjectPBPK-
dc.subjectPharmacokinetics-
dc.subjectToxicity-
dc.titlePhysiologically based pharmacokinetic modeling of nanoparticles-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1021/nn1018818-
dc.identifier.pmid20945925-
dc.identifier.scopuseid_2-s2.0-78649552932-
dc.identifier.volume4-
dc.identifier.issue11-
dc.identifier.spage6303-
dc.identifier.epage6317-
dc.identifier.eissn1936-086X-

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