Endothelial Cells, First Target of Drug Delivery Using Microbubble-Assisted Ultrasound.

Drug delivery Endothelial barrier Endothelial cells Endothelial membrane Microbubble Permeability Ultrasound Vascular effects

Journal

Ultrasound in medicine & biology
ISSN: 1879-291X
Titre abrégé: Ultrasound Med Biol
Pays: England
ID NLM: 0410553

Informations de publication

Date de publication:
07 2020
Historique:
received: 28 10 2019
revised: 12 03 2020
accepted: 13 03 2020
pubmed: 26 4 2020
medline: 20 8 2021
entrez: 26 4 2020
Statut: ppublish

Résumé

Microbubble-assisted ultrasound has emerged as a promising method for local drug delivery. Microbubbles are intravenously injected and locally activated by ultrasound, thus increasing the permeability of vascular endothelium for facilitating extravasation and drug uptake into the treated tissue. Thereby, endothelial cells are the first target of the effects of ultrasound-driven microbubbles. In this review, the in vitro and in vivo bioeffects of this method on endothelial cells are described and discussed, including aspects on the permeabilization of biologic barriers (endothelial cell plasma membranes and endothelial barriers), the restoration of their integrity, the molecular and cellular mechanisms involved in both these processes, and the resulting intracellular and intercellular consequences. Finally, the influence of the acoustic settings, microbubble parameters, treatment schedules and flow parameters on these bioeffects are also reviewed.

Identifiants

pubmed: 32331799
pii: S0301-5629(20)30129-0
doi: 10.1016/j.ultrasmedbio.2020.03.013
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1565-1583

Informations de copyright

Copyright © 2020 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Auteurs

Antoine Presset (A)

UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.

Corentin Bonneau (C)

UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.

Sasaoka Kazuyoshi (S)

Laboratory of Veterinary Internal Medicine, Department of Clinical Sciences; Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Japan.

Lydie Nadal-Desbarats (L)

UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.

Takigucho Mitsuyoshi (T)

Laboratory of Veterinary Internal Medicine, Department of Clinical Sciences; Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Japan.

Ayache Bouakaz (A)

UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.

Nobuki Kudo (N)

Laboratory of Biological Engineering, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan.

Jean-Michel Escoffre (JM)

UMR 1253, iBrain, Université de Tours, Inserm, Tours, France. Electronic address: Jean-michel.escoffre@univ-tours.fr.

Noboru Sasaki (N)

Laboratory of Veterinary Internal Medicine, Department of Clinical Sciences; Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Japan.

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Classifications MeSH