Design of gadoteridol-loaded cationic liposomal adjuvant CAF01 for MRI of lung deposition of intrapulmonary administered particles

Aneesh Thakur, Fabrice Rose, Shaquib Rahman Ansari, Palle Koch, Veronica Martini, Sofie Lillelund Ovesen, Bjørn Quistorff, Samuel Maritim, Fahmeed Hyder, Peter Andersen, Dennis Christensen, Yuki Mori, Camilla Foged

1 Citation (Scopus)

Abstract

Designing effective and safe tuberculosis (TB) subunit vaccines for inhalation requires identification of appropriate antigens and adjuvants and definition of the specific areas to target in the lungs. Magnetic resonance imaging (MRI) enables high spatial resolution, but real-time anatomical and functional MRI of lungs is challenging. Here, we describe the design of a novel gadoteridol-loaded cationic adjuvant formulation 01 (CAF01) for MRI-guided vaccine delivery of the clinically tested TB subunit vaccine candidate H56/CAF01. Gadoteridol-loaded CAF01 liposomes were engineered by using a quality-by-design approach to (i) increase the mechanistic understanding of formulation factors governing the loading of gadoteridol, and (ii) maximize the loading of gadoteridol in CAF01, which was confirmed by cryo-transmission electron microscopy. The encapsulation efficiency and loading of gadoteridol were highly dependent on the buffer pH due to strong attractive electrostatic interactions between gadoteridol and the cationic lipid component. Optimal gadoteridol loading of CAF01 liposomes showed good in vivo stability and safety upon intrapulmonary administration into mice, while generating 1.5-fold MRI signal enhancement associated with approximately 30% T1 relaxation change. This formulation principle and imaging approach can potentially be used for other mucosal nanoparticle-based formulations, species and lung pathologies, which can readily be translated for clinical use.

Original languageEnglish
JournalMolecular Pharmaceutics
Volume16
Issue number11
Pages (from-to)4725-4737
Number of pages13
ISSN1543-8384
DOIs
Publication statusPublished - 30 Aug 2019

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