Potential of Intranasally Delivered Exosomes Derived from Mesenchymal Stem Cells as Treatment for Ischemic Stroke: Proton and Sodium MRI at 21.1 T

Motivation: Stroke treatments are hindered by inefficient delivery and patient tolerance. This study examines whether intranasal mesenchymal stem cell-derived extracellular vesicles (EV) can overcome limitations and improve outcomes. Goal(s): The study seeks to evaluate whether intranasal EV delivery improves recovery by investigating recovered sodium homeostasis and diffusional restrictions. Approach: Using a preclinical ischemic stroke model, EV were administered intranasally. High-resolution MRI, including spin-echo 1H EPI DWI, T2W FSE and 23Na CSI, were acquired over 21 d. Results: The EV-treated group displayed reduced damage and sodium imbalances, with the longitudinal consistency of ADC reflecting both reduced lesion volume and necrosis indicative of maintained cellular integrity. Impact: MRI-based evaluation of intranasal EV therapy provides a reliable approach to monitor recovery and sodium dynamics post-stroke, meeting a critical need for non-invasive, effective treatments and their assessment.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/5060
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Potential of Intranasally Delivered Exosomes Derived from Mesenchymal Stem Cells as Treatment for Ischemic Stroke: Proton and Sodium MRI at 21.1 T

Malathy Elumalai, Samuel C. Grant, Arshia Arbabian
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Brain Tumor Detection and Classification
article

Potential of Intranasally Delivered Exosomes Derived from Mesenchymal Stem Cells as Treatment for Ischemic Stroke: Proton and Sodium MRI at 21.1 T

Malathy Elumalai, Samuel C. Grant, Arshia Arbabian
article en

Abstract

Motivation: Stroke treatments are hindered by inefficient delivery and patient tolerance. This study examines whether intranasal mesenchymal stem cell-derived extracellular vesicles (EV) can overcome limitations and improve outcomes. Goal(s): The study seeks to evaluate whether intranasal EV delivery improves recovery by investigating recovered sodium homeostasis and diffusional restrictions. Approach: Using a preclinical ischemic stroke model, EV were administered intranasally. High-resolution MRI, including spin-echo 1H EPI DWI, T2W FSE and 23Na CSI, were acquired over 21 d. Results: The EV-treated group displayed reduced damage and sodium imbalances, with the longitudinal consistency of ADC reflecting both reduced lesion volume and necrosis indicative of maintained cellular integrity. Impact: MRI-based evaluation of intranasal EV therapy provides a reliable approach to monitor recovery and sodium dynamics post-stroke, meeting a critical need for non-invasive, effective treatments and their assessment.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 69%
Brain Tumor Detection and Classification
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.