Magnetic resonance imaging analysis predicts nanoparticle concentration delivered to the brain parenchyma

Michael Plaksin, Tiran Bercovici, Gabriella Gabi Sat Toltsis, Javier Grinfeld, Boaz Shapira, Yuval Zur, Rafi de Picciotto, Eyal Zadicario, Mustaffa Siddeeq, Anton Wohl, Zion Zibly, Yoav Levy, Zvi R. Cohen

Research output: Contribution to journalArticlepeer-review

Abstract

Ultrasound in combination with the introduction of microbubbles into the vasculature effectively opens the blood brain barrier (BBB) to allow the passage of therapeutic agents. Increased permeability of the BBB is typically demonstrated with small-molecule agents (e.g., 1-nm gadolinium salts). Permeability to small-molecule agents, however, cannot reliably predict the transfer of remarkably larger molecules (e.g., monoclonal antibodies) required by numerous therapies. To overcome this issue, we developed a magnetic resonance imaging analysis based on the ΔR2* physical parameter that can be measured intraoperatively for efficient real-time treatment management. We demonstrate successful correlations between ΔR2* values and parenchymal concentrations of 3 differently sized (18 nm–44 nm) populations of liposomes in a rat model. Reaching an appropriate ΔR2* value during treatment can reflect the effective delivery of large therapeutic agents. This prediction power enables the achievement of desirable parenchymal drug concentrations, which is paramount to obtaining effective therapeutic outcomes.

Original languageEnglish
Article number964
JournalCommunications Biology
Volume5
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

Fingerprint

Dive into the research topics of 'Magnetic resonance imaging analysis predicts nanoparticle concentration delivered to the brain parenchyma'. Together they form a unique fingerprint.

Cite this