Magnetic particle imaging of transplanted islets in type 1 diabetes animal models

NIH RePORTER · NIH · R03 · $78,250 · view on reporter.nih.gov ↗

Abstract

Type 1 diabetes (T1D) is a devastating disease that results from destruction of insulin-producing pancreatic beta cells by autoimmunity. Islet Transplantation (Tx) is a promising clinic modality to restore normalglycaemia in T1D patients. However, significant islet graft loss due to various factors post Tx hampered this treatment from curing T1D. It is clear that an in vivo imaging method to monitor transplanted islet is urgently needed. All major conventional imaging modalities have been utilized for islet visualization and monitoring post Tx. These include (Magnetic resonance imaging) MRI, nuclear imaging, ultrasound imaging and bioluminescence imaging. Limitations of each modality have so-far hindered wide clinical translation of islet Tx. Magnetic Particle Imaging (MPI) is an emerging imaging modality that directly detects superparamagnetic iron oxide nanoparticle tracers using time-varying magnetic fields. Because the tracer is not normally found in the body, MPI images have exceptional contrast, quantitative capacity and high sensitivity. This new imaging technology is promising to change the landscape of modern medical imaging and in vivo translational research. In this application, we propose to apply this cutting-edge imaging technology to monitor transplanted islets that labeled with iron oxide nanoparticles in small animal models. Islet grafts in liver or under kidney capsule in mouse models will be tracked using in vivo MPI longitudinally. Based on our preliminary studies, we will also investigate whether MPI could quantitatively detect early graft loss post Tx. The experimental design will include in vivo MPI detection of graft damages in diabetic animal models followed by correlative comprehensive histological examinations. The MPI data of islet grafts will also be compared with MRI’s data for the first time. The output of this work will include novel image protocol for monitoring transplanted islet thus improving T1D treatment.

Key facts

NIH application ID
9978491
Project number
1R03EB028349-01A1
Recipient
MICHIGAN STATE UNIVERSITY
Principal Investigator
Ping Wang
Activity code
R03
Funding institute
NIH
Fiscal year
2020
Award amount
$78,250
Award type
1
Project period
2020-03-15 → 2021-12-31