A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo

Autores
Henrique Silva, Adny; Lima, Enio Junior; Vasquez Mansilla, Marcelo; Zysler, Roberto Daniel; Mojica Pisciotti, Mary Luz; Locatelli, Claudriana; Kumar Reddy Rajoli, Rajith; Owen, Andrew; Creczynski Pasa, Tânia Beatriz; Siccardi, Marco
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Superparamagnetic iron oxide nanoparticles (SPIONs) have been identified as a promising material for biomedical applications. These include as contrast agents for medical imaging, drug delivery and/or cancer cell treatment. The nanotoxicological profile of SPIONs has been investigated in different studies and the distribution of SPIONs in the human body has not been fully characterized. The aim of this study was to develop a physiologically-based pharmacokinetic (PBPK) model to predict the pharmacokinetics of SPIONs. The distribution and accumulation of SPIONs in organs were simulated taking into consideration their penetration through capillary walls and their active uptake by specialized macrophages in the liver, spleen and lungs. To estimate the kinetics of SPION uptake, a novel experimental approach using primary macrophages was developed. The murine PBPK model was validated against in vivo pharmacokinetic data, and accurately described accumulation in liver, spleen and lungs. After validation of the murine model, a similar PBPK approach was developed to simulate the distribution of SPIONs in humans. These data demonstrate the utility of PBPK modeling for estimating biodistribution of inorganic nanoparticles and represents an initial platform to provide computational prediction of nanoparticle pharmacokinetics.
Fil: Henrique Silva, Adny. Universidade Federal de Santa Catarina; Brasil
Fil: Lima, Enio Junior. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina
Fil: Vasquez Mansilla, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina
Fil: Zysler, Roberto Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina
Fil: Mojica Pisciotti, Mary Luz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina
Fil: Locatelli, Claudriana. Universidade do Alto Vale do Rio do Peixe; Brasil. Universidade do Oeste de Santa Catarina; Brasil
Fil: Kumar Reddy Rajoli, Rajith. University of Liverpool; Reino Unido
Fil: Owen, Andrew. University of Liverpool; Reino Unido
Fil: Creczynski Pasa, Tânia Beatriz. Universidade Federal de Santa Catarina; Brasil
Fil: Siccardi, Marco. University of Liverpool; Reino Unido
Materia
ACCUMULATION
BIODISTRIBUTION
NANOPARTICLES
PHYSIOLOGICALLY BASED PHARMACOKINETIC MODEL
PREDICTION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/57895
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/57895
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivoHenrique Silva, AdnyLima, Enio JuniorVasquez Mansilla, MarceloZysler, Roberto DanielMojica Pisciotti, Mary LuzLocatelli, ClaudrianaKumar Reddy Rajoli, RajithOwen, AndrewCreczynski Pasa, Tânia BeatrizSiccardi, MarcoACCUMULATIONBIODISTRIBUTIONNANOPARTICLESPHYSIOLOGICALLY BASED PHARMACOKINETIC MODELPREDICTIONhttps://purl.org/becyt/ford/2.10https://purl.org/becyt/ford/2https://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Superparamagnetic iron oxide nanoparticles (SPIONs) have been identified as a promising material for biomedical applications. These include as contrast agents for medical imaging, drug delivery and/or cancer cell treatment. The nanotoxicological profile of SPIONs has been investigated in different studies and the distribution of SPIONs in the human body has not been fully characterized. The aim of this study was to develop a physiologically-based pharmacokinetic (PBPK) model to predict the pharmacokinetics of SPIONs. The distribution and accumulation of SPIONs in organs were simulated taking into consideration their penetration through capillary walls and their active uptake by specialized macrophages in the liver, spleen and lungs. To estimate the kinetics of SPION uptake, a novel experimental approach using primary macrophages was developed. The murine PBPK model was validated against in vivo pharmacokinetic data, and accurately described accumulation in liver, spleen and lungs. After validation of the murine model, a similar PBPK approach was developed to simulate the distribution of SPIONs in humans. These data demonstrate the utility of PBPK modeling for estimating biodistribution of inorganic nanoparticles and represents an initial platform to provide computational prediction of nanoparticle pharmacokinetics.Fil: Henrique Silva, Adny. Universidade Federal de Santa Catarina; BrasilFil: Lima, Enio Junior. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Vasquez Mansilla, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Zysler, Roberto Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Mojica Pisciotti, Mary Luz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Locatelli, Claudriana. Universidade do Alto Vale do Rio do Peixe; Brasil. Universidade do Oeste de Santa Catarina; BrasilFil: Kumar Reddy Rajoli, Rajith. University of Liverpool; Reino UnidoFil: Owen, Andrew. University of Liverpool; Reino UnidoFil: Creczynski Pasa, Tânia Beatriz. Universidade Federal de Santa Catarina; BrasilFil: Siccardi, Marco. University of Liverpool; Reino UnidoWalter de Gruyter GmbH2017-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/57895Henrique Silva, Adny; Lima, Enio Junior; Vasquez Mansilla, Marcelo; Zysler, Roberto Daniel; Mojica Pisciotti, Mary Luz; et al.; A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo; Walter de Gruyter GmbH; European Journal of Nanomedicine; 9; 2; 4-2017; 79-901662-596XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1515/ejnm-2017-0001info:eu-repo/semantics/altIdentifier/url/https://www.degruyter.com/view/j/ejnm.2017.9.issue-2/ejnm-2017-0001/ejnm-2017-0001.xmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:41:13Zoai:ri.conicet.gov.ar:11336/57895instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:41:13.677CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo
title A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo
spellingShingle A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo
Henrique Silva, Adny
ACCUMULATION
BIODISTRIBUTION
NANOPARTICLES
PHYSIOLOGICALLY BASED PHARMACOKINETIC MODEL
PREDICTION
title_short A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo
title_full A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo
title_fullStr A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo
title_full_unstemmed A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo
title_sort A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo
dc.creator.none.fl_str_mv Henrique Silva, Adny
Lima, Enio Junior
Vasquez Mansilla, Marcelo
Zysler, Roberto Daniel
Mojica Pisciotti, Mary Luz
Locatelli, Claudriana
Kumar Reddy Rajoli, Rajith
Owen, Andrew
Creczynski Pasa, Tânia Beatriz
Siccardi, Marco
author Henrique Silva, Adny
author_facet Henrique Silva, Adny
Lima, Enio Junior
Vasquez Mansilla, Marcelo
Zysler, Roberto Daniel
Mojica Pisciotti, Mary Luz
Locatelli, Claudriana
Kumar Reddy Rajoli, Rajith
Owen, Andrew
Creczynski Pasa, Tânia Beatriz
Siccardi, Marco
author_role author
author2 Lima, Enio Junior
Vasquez Mansilla, Marcelo
Zysler, Roberto Daniel
Mojica Pisciotti, Mary Luz
Locatelli, Claudriana
Kumar Reddy Rajoli, Rajith
Owen, Andrew
Creczynski Pasa, Tânia Beatriz
Siccardi, Marco
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ACCUMULATION
BIODISTRIBUTION
NANOPARTICLES
PHYSIOLOGICALLY BASED PHARMACOKINETIC MODEL
PREDICTION
topic ACCUMULATION
BIODISTRIBUTION
NANOPARTICLES
PHYSIOLOGICALLY BASED PHARMACOKINETIC MODEL
PREDICTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.10
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Superparamagnetic iron oxide nanoparticles (SPIONs) have been identified as a promising material for biomedical applications. These include as contrast agents for medical imaging, drug delivery and/or cancer cell treatment. The nanotoxicological profile of SPIONs has been investigated in different studies and the distribution of SPIONs in the human body has not been fully characterized. The aim of this study was to develop a physiologically-based pharmacokinetic (PBPK) model to predict the pharmacokinetics of SPIONs. The distribution and accumulation of SPIONs in organs were simulated taking into consideration their penetration through capillary walls and their active uptake by specialized macrophages in the liver, spleen and lungs. To estimate the kinetics of SPION uptake, a novel experimental approach using primary macrophages was developed. The murine PBPK model was validated against in vivo pharmacokinetic data, and accurately described accumulation in liver, spleen and lungs. After validation of the murine model, a similar PBPK approach was developed to simulate the distribution of SPIONs in humans. These data demonstrate the utility of PBPK modeling for estimating biodistribution of inorganic nanoparticles and represents an initial platform to provide computational prediction of nanoparticle pharmacokinetics.
Fil: Henrique Silva, Adny. Universidade Federal de Santa Catarina; Brasil
Fil: Lima, Enio Junior. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina
Fil: Vasquez Mansilla, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina
Fil: Zysler, Roberto Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina
Fil: Mojica Pisciotti, Mary Luz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina
Fil: Locatelli, Claudriana. Universidade do Alto Vale do Rio do Peixe; Brasil. Universidade do Oeste de Santa Catarina; Brasil
Fil: Kumar Reddy Rajoli, Rajith. University of Liverpool; Reino Unido
Fil: Owen, Andrew. University of Liverpool; Reino Unido
Fil: Creczynski Pasa, Tânia Beatriz. Universidade Federal de Santa Catarina; Brasil
Fil: Siccardi, Marco. University of Liverpool; Reino Unido
description Superparamagnetic iron oxide nanoparticles (SPIONs) have been identified as a promising material for biomedical applications. These include as contrast agents for medical imaging, drug delivery and/or cancer cell treatment. The nanotoxicological profile of SPIONs has been investigated in different studies and the distribution of SPIONs in the human body has not been fully characterized. The aim of this study was to develop a physiologically-based pharmacokinetic (PBPK) model to predict the pharmacokinetics of SPIONs. The distribution and accumulation of SPIONs in organs were simulated taking into consideration their penetration through capillary walls and their active uptake by specialized macrophages in the liver, spleen and lungs. To estimate the kinetics of SPION uptake, a novel experimental approach using primary macrophages was developed. The murine PBPK model was validated against in vivo pharmacokinetic data, and accurately described accumulation in liver, spleen and lungs. After validation of the murine model, a similar PBPK approach was developed to simulate the distribution of SPIONs in humans. These data demonstrate the utility of PBPK modeling for estimating biodistribution of inorganic nanoparticles and represents an initial platform to provide computational prediction of nanoparticle pharmacokinetics.
publishDate 2017
dc.date.none.fl_str_mv 2017-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/57895
Henrique Silva, Adny; Lima, Enio Junior; Vasquez Mansilla, Marcelo; Zysler, Roberto Daniel; Mojica Pisciotti, Mary Luz; et al.; A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo; Walter de Gruyter GmbH; European Journal of Nanomedicine; 9; 2; 4-2017; 79-90
1662-596X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/57895
identifier_str_mv Henrique Silva, Adny; Lima, Enio Junior; Vasquez Mansilla, Marcelo; Zysler, Roberto Daniel; Mojica Pisciotti, Mary Luz; et al.; A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo; Walter de Gruyter GmbH; European Journal of Nanomedicine; 9; 2; 4-2017; 79-90
1662-596X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1515/ejnm-2017-0001
info:eu-repo/semantics/altIdentifier/url/https://www.degruyter.com/view/j/ejnm.2017.9.issue-2/ejnm-2017-0001/ejnm-2017-0001.xml
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Walter de Gruyter GmbH
publisher.none.fl_str_mv Walter de Gruyter GmbH
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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