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Abstract #3862

CEST MRI detection of Glycoengineered Extracellular Vesicles

Safiya Aafreen1, Kris Dammen-Brower2, Wenshen Wang3,4, Sixuan Li5, Xiaoning Han6, Tza-Huei Wang5, Kevin J. Yarema2, and Guanshu Liu3,4
1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Depeartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 5Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States, 6Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Synopsis

Keywords: Contrast Agents, Contrast Agents, extracellular vesicle, glyoengineering, theranostics

Motivation: Extracellular vesicles (EVs) are innovative carriers for drug and gene delivery, yet current imaging relies on fluorescent, metallic, or isotopic labels, complicating clinical translation. Metabolic glycoengineering (MGE) may enhance EV targeting naturally by incorporating non-natural sugars into EV surfaces.

Goal(s):

  • To leverage CEST MRI for non-labeled detection of MGE-EVs in vivo.
  • To examine MGE’s impact on EV properties and optimize non-natural glycan selection.

Approach: MGE incorporates non-natural monosaccharides into EV surfaces, creating a profile suitable for CEST MRI-based visualization.

Results: In vitro and in vivo studies validate MGE-EVs as innovative theranostic platforms, with inherent imaging properties advancing clinical potential.

Impact: Leveraging non-natural sugars as CEST MRI agents equips MGE-EVs with advanced MRI tracking capabilities. This innovation is poised to accelerate both preclinical development and clinical translation of more effective MGE-EV-based drug delivery vectors for a wide variety of diseases.

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Keywords