Label-Free Imaging of Composite Hyaluronic Acid Hydrogels in Regenerative Medicine

NIH RePORTER · NIH · R01 · $367,698 · view on reporter.nih.gov ↗

Abstract

Hydrogel scaffolds are increasingly being used as tissue-mimicking materials and as vehicles to improve transplanted stem cell retention and survival. We have recently developed a new chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) method that is able to probe the in vivo stability and gelatin decomposition of implanted composite hyaluronic acid (HA) hydrogels in a “label-free” fashion. Compared to naked cells, we found that transplanted neural stem cells showed improved survival when hydrogel scaffolding was applied. A major question that remains is the optimal mechanical properties of the hydrogel, and how this relates to cell survival. At the one hand, for initial structural support, the gels should not decompose too fast, but at the other hand they should at some point decompose to allow transplanted cells to grow out and integrate with the surrounding host tissue. Our aim is to synthesize a range of composite near- infrared (NIR)-HA hydrogels with different compositions and stabilities, to image their stability properties in vivo, and to correlate the CEST/NIR optical imaging findings with cell survival as assessed using bioluminescent imaging (BLI) as conventional readout. Using supercharged green fluorescent protein (sGFP) as a new CEST MRI bimodal reporter gene, we will also investigate whether or not CEST MRI is able to probe in vivo cell survival simultaneously. We have chosen to apply this approach to transplantation of glial-restricted precursor cells (GRPs) in a transgenic amyotropic lateral sclerosis (ALS) mouse model, as we have found that transplanted naked cells without hydrogel scaffolding survive poorly in the hostile ALS tissue environment.

Key facts

NIH application ID
9895784
Project number
5R01EB023647-04
Recipient
JOHNS HOPKINS UNIVERSITY
Principal Investigator
Jeff W. Bulte
Activity code
R01
Funding institute
NIH
Fiscal year
2020
Award amount
$367,698
Award type
5
Project period
2017-06-01 → 2023-03-31