Acoustomechanically activatable liposomes for ultrasonic drug uncaging.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
25 Oct 2023
Historique:
pubmed: 14 11 2023
medline: 14 11 2023
entrez: 14 11 2023
Statut: epublish

Résumé

Ultrasound-activatable drug-loaded nanocarriers enable noninvasive and spatiotemporally-precise on-demand drug delivery throughout the body. However, most systems for ultrasonic drug uncaging utilize cavitation or heating as the drug release mechanism and often incorporate relatively exotic excipients into the formulation that together limit the drug-loading potential, stability, and clinical translatability and applicability of these systems. Here we describe an alternate strategy for the design of such systems in which the acoustic impedance and osmolarity of the internal liquid phase of a drug-loaded particle is tuned to maximize ultrasound-induced drug release. No gas phase, cavitation, or medium heating is necessary for the drug release mechanism. Instead, a non-cavitation-based mechanical response to ultrasound mediates the drug release. Importantly, this strategy can be implemented with relatively common pharmaceutical excipients, as we demonstrate here by implementing this mechanism with the inclusion of a few percent sucrose into the internal buffer of a liposome. Further, the ultrasound protocols sufficient for in vivo drug uncaging with this system are achievable with current clinical therapeutic ultrasound systems and with intensities that are within FDA and society guidelines for safe transcranial ultrasound application. Finally, this current implementation of this mechanism should be versatile and effective for the loading and uncaging of any therapeutic that may be loaded into a liposome, as we demonstrate for four different drugs in vitro, and two in vivo. These acoustomechanically activatable liposomes formulated with common pharmaceutical excipients promise a system with high clinical translational potential for ultrasonic drug uncaging of myriad drugs of clinical interest.

Identifiants

pubmed: 37961368
doi: 10.1101/2023.10.23.563690
pmc: PMC10634775
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIMH NIH HHS
ID : RF1 MH114252
Pays : United States
Organisme : NINDS NIH HHS
ID : UG3 NS114438
Pays : United States
Organisme : NINDS NIH HHS
ID : UG3 NS115637
Pays : United States

Déclaration de conflit d'intérêts

Competing Interests RDA has equity and has received consulting fees from Cordance Medical and Lumos Labs and grant funding from AbbVie Inc. All other authors declare no conflicts of interest.

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Auteurs

Mahaveer P Purohit (MP)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.

Kanchan Sinha Roy (KS)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.

Yun Xiang (Y)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.

Brenda J Yu (BJ)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.
Biophysics Program, Stanford University, Stanford, CA, 94305 USA.

Matine M Azadian (MM)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.
Neurosciences Program, Stanford University, Stanford, CA, 94305 USA.

Gabriella Muwanga (G)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.
Neurosciences Program, Stanford University, Stanford, CA, 94305 USA.

Alex R Hart (AR)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.
Department of Chemistry, Stanford University, Stanford, CA, 94305 USA.

Ali K Taoube (AK)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.

Diego Gomez Lopez (DG)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.
Department of Medicine, Health, and Society, Vanderbilt University, Nashville, TN 37235 USA.

Raag D Airan (RD)

Department of Radiology, Stanford University, Stanford, CA, 94305 USA.
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305 USA.
Department of Materials Science and Engineering, Stanford University, Stanford, CA, 94305 USA.

Classifications MeSH