Pharmacokinetics of intact lipid nanocapsules using new quantitative FRET technique.

Drug delivery FRET Lipid nanocapsules Pharmacokinetics Population pharmacokinetics

Journal

Journal of controlled release : official journal of the Controlled Release Society
ISSN: 1873-4995
Titre abrégé: J Control Release
Pays: Netherlands
ID NLM: 8607908

Informations de publication

Date de publication:
11 2022
Historique:
received: 17 06 2022
revised: 07 09 2022
accepted: 27 09 2022
pubmed: 4 10 2022
medline: 16 11 2022
entrez: 3 10 2022
Statut: ppublish

Résumé

The present study investigated the pharmacokinetics of intact lipid nanocapsules (LNCs) after intravenous administration in rats. Six different Förster resonance energy transfer LNCs (FRET-LNCs) have been studied with 2 sizes (50 and 85 nm) and 3 coating types (none, DSPE-mPEG 2000 or stearylamine). A FRET-LNCs blood extraction method was developed to retain an accurate FRET signal. Intact FRET-LNCs were specifically quantified through combination of FRET signal and Nano Tracker Analysis. Pharmacokinetic data were first described by non-compartmental analysis, then used to develop a population pharmacokinetic model. The pharmacokinetic elimination of FRET-LNCs was non-linear and dependent on size and surface modification, while the distribution was dependent on size. The LNCs 85 nm volume of distribution was lower than LNCs 50 nm. As expected, LNCs 85 nm with PEG coating displayed a lower clearance than other formulations. Surprisingly, this study highlighted a faster elimination of LNCs 50 nm with PEG compared to other formulations which could be explained by instability in blood. This first pharmacokinetic model of intact LNCs allowed a thorough understanding of the influence of size and coating on pharmacokinetic properties and paves the way for future mechanistic modeling approaches to predict the fate of LNCs in vivo.

Identifiants

pubmed: 36191672
pii: S0168-3659(22)00660-5
doi: 10.1016/j.jconrel.2022.09.057
pii:
doi:

Substances chimiques

Nanocapsules 0
Lipids 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

681-691

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Vincent Lebreton (V)

MINT, INSERM U1066, CNRS 6021, UNIV Angers, SFR-ICAT 4208, Angers, France; CHU Angers, 49033 Angers, France.

Norraseth Kaeokhamloed (N)

MINT, INSERM U1066, CNRS 6021, UNIV Angers, SFR-ICAT 4208, Angers, France.

Anastasiia Vasylaki (A)

MINT, INSERM U1066, CNRS 6021, UNIV Angers, SFR-ICAT 4208, Angers, France.

Grégory Hilairet (G)

UNIV Angers, SFR ICAT4208, Angers, France.

Adélie Mellinger (A)

MINT, INSERM U1066, CNRS 6021, UNIV Angers, SFR-ICAT 4208, Angers, France.

Jérôme Béjaud (J)

MINT, INSERM U1066, CNRS 6021, UNIV Angers, SFR-ICAT 4208, Angers, France.

Patrick Saulnier (P)

MINT, INSERM U1066, CNRS 6021, UNIV Angers, SFR-ICAT 4208, Angers, France; CHU Angers, 49033 Angers, France.

Frédéric Lagarce (F)

MINT, INSERM U1066, CNRS 6021, UNIV Angers, SFR-ICAT 4208, Angers, France; CHU Angers, 49033 Angers, France.

Florence Gattacceca (F)

Computational Pharmacology and Clinical Oncology (COMPO) Unit, Inria Sophia Antipolis-Méditerranée, Cancer Research Center of Marseille, Inserm UMR1068, CNRS UMR7258, Aix Marseille University UM105, 13385 Marseille, France.

Samuel Legeay (S)

MINT, INSERM U1066, CNRS 6021, UNIV Angers, SFR-ICAT 4208, Angers, France.

Emilie Roger (E)

MINT, INSERM U1066, CNRS 6021, UNIV Angers, SFR-ICAT 4208, Angers, France. Electronic address: emilie.roger@univ-angers.fr.

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Classifications MeSH