A T1 MRI detectable hyaluronic acid hydrogel for in vivo tracking after intracerebral injection in stroke

Abstract

Injectable hydrogels have emerged as a promising strategy for stroke and neurodegenerative diseases, but their effectiveness depends on precise injection, defect filling, and long-term retention at the target site. While MRI can help visualize hydrogels, distinguishing them from fluid-filled spaces, like post-stroke cavity at chronic stage, is challenging due to their high water content and similar MR properties. In this study, a T1 MRI detectable hyaluronic acid (HA) hydrogel, that is injectable and self-healing, was developed for in vivo tracking after intracerebral injection in stroke. The HA hydrogel was functionalized with a thermodynamically stable and kinetically inert Gadolinium(III) complex for monitoring its long-term fate in the brain with T1-contrast enhanced MRI. The dynamic covalent cross-links based on boronate ester bonds in the hydrogel network ensured precision injection and instantaneous self-healing. The HA network did not induce adverse tissue response and was biocompatible with therapeutic cells (human adipose stromal/stem cells). This labeling strategy enabled accurate tracking of hydrogel distribution and degradation in stroke condition, allowing a better assessment of efficacy and safety. This MRI-visible hydrogel offers significant potential as a scaffold for stem cells, growth factors, and/or drugs, paving the way for more effective treatments for brain disorders.

Supplementary files

Article information

Article type
Paper
Submitted
07 Dec 2024
Accepted
19 Feb 2025
First published
24 Feb 2025
This article is Open Access
Creative Commons BY license

J. Mater. Chem. B, 2025, Accepted Manuscript

A T1 MRI detectable hyaluronic acid hydrogel for in vivo tracking after intracerebral injection in stroke

M. Said, J. Jing, O. Montigon, N. Collomb, F. Vossier, B. Chovelon, B. El Amine, I. Jeacomine, B. Lemasson, E. L. BARBIER, O. Detante, C. Rome and R. Auzély, J. Mater. Chem. B, 2025, Accepted Manuscript , DOI: 10.1039/D4TB02722A

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