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

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Design of gadoteridol-loaded cationic liposomal adjuvant CAF01 for MRI of lung deposition of intrapulmonary administered particles. / Thakur, Aneesh; Rose, Fabrice; Ansari, Shaquib Rahman; Koch, Palle; Martini, Veronica; Ovesen, Sofie Lillelund; Quistorff, Bjørn; Maritim, Samuel; Hyder, Fahmeed; Andersen, Peter; Christensen, Dennis; Mori, Yuki; Foged, Camilla.

In: Molecular Pharmaceutics, Vol. 16, No. 11, 2019, p. 4725-4737.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Thakur, A, Rose, F, Ansari, SR, Koch, P, Martini, V, Ovesen, SL, Quistorff, B, Maritim, S, Hyder, F, Andersen, P, Christensen, D, Mori, Y & Foged, C 2019, 'Design of gadoteridol-loaded cationic liposomal adjuvant CAF01 for MRI of lung deposition of intrapulmonary administered particles', Molecular Pharmaceutics, vol. 16, no. 11, pp. 4725-4737. https://doi.org/10.1021/acs.molpharmaceut.9b00908

APA

Thakur, A., Rose, F., Ansari, S. R., Koch, P., Martini, V., Ovesen, S. L., Quistorff, B., Maritim, S., Hyder, F., Andersen, P., Christensen, D., Mori, Y., & Foged, C. (2019). Design of gadoteridol-loaded cationic liposomal adjuvant CAF01 for MRI of lung deposition of intrapulmonary administered particles. Molecular Pharmaceutics, 16(11), 4725-4737. https://doi.org/10.1021/acs.molpharmaceut.9b00908

Vancouver

Thakur A, Rose F, Ansari SR, Koch P, Martini V, Ovesen SL et al. Design of gadoteridol-loaded cationic liposomal adjuvant CAF01 for MRI of lung deposition of intrapulmonary administered particles. Molecular Pharmaceutics. 2019;16(11):4725-4737. https://doi.org/10.1021/acs.molpharmaceut.9b00908

Author

Thakur, Aneesh ; Rose, Fabrice ; Ansari, Shaquib Rahman ; Koch, Palle ; Martini, Veronica ; Ovesen, Sofie Lillelund ; Quistorff, Bjørn ; Maritim, Samuel ; Hyder, Fahmeed ; Andersen, Peter ; Christensen, Dennis ; Mori, Yuki ; Foged, Camilla. / Design of gadoteridol-loaded cationic liposomal adjuvant CAF01 for MRI of lung deposition of intrapulmonary administered particles. In: Molecular Pharmaceutics. 2019 ; Vol. 16, No. 11. pp. 4725-4737.

Bibtex

@article{266f7c4f54364088b588c82fe83d3023,
title = "Design of gadoteridol-loaded cationic liposomal adjuvant CAF01 for MRI of lung deposition of intrapulmonary administered particles",
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.",
author = "Aneesh Thakur and Fabrice Rose and Ansari, {Shaquib Rahman} and Palle Koch and Veronica Martini and Ovesen, {Sofie Lillelund} and Bj{\o}rn Quistorff and Samuel Maritim and Fahmeed Hyder and Peter Andersen and Dennis Christensen and Yuki Mori and Camilla Foged",
year = "2019",
doi = "10.1021/acs.molpharmaceut.9b00908",
language = "English",
volume = "16",
pages = "4725--4737",
journal = "Molecular Pharmaceutics",
issn = "1543-8384",
publisher = "American Chemical Society",
number = "11",

}

RIS

TY - JOUR

T1 - Design of gadoteridol-loaded cationic liposomal adjuvant CAF01 for MRI of lung deposition of intrapulmonary administered particles

AU - Thakur, Aneesh

AU - Rose, Fabrice

AU - Ansari, Shaquib Rahman

AU - Koch, Palle

AU - Martini, Veronica

AU - Ovesen, Sofie Lillelund

AU - Quistorff, Bjørn

AU - Maritim, Samuel

AU - Hyder, Fahmeed

AU - Andersen, Peter

AU - Christensen, Dennis

AU - Mori, Yuki

AU - Foged, Camilla

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

U2 - 10.1021/acs.molpharmaceut.9b00908

DO - 10.1021/acs.molpharmaceut.9b00908

M3 - Journal article

C2 - 31539263

VL - 16

SP - 4725

EP - 4737

JO - Molecular Pharmaceutics

JF - Molecular Pharmaceutics

SN - 1543-8384

IS - 11

ER -

ID: 227621131