henhaobio
Sign in

bioRxivCell Biology

Quantifying stem cell derived islet graft volume and composition with FDOPA positron emission tomography

V. Lithovius, S. Lahdenpohja, H. Ibrahim, J. Saarimäki-Vire, L. Uusitalo, H. Montaser, K. Mikkola, C.-B. Yim, T. Keller, J. Rajander, D. Balboa, T. Barsby, O. Solin, P. Nuutila, T. J. Grönroos, T. Otonkoski

PDFDOIPreprint

Abstract

Stem cell derived islets (SC-islets) are being developed as a novel source of beta cells that would enable large scale cell replacement therapy for insulin dependent diabetes. Therapeutic use of SC-islets carries an inherent risk of unwanted growth; and multiple strategies are being explored for optimizing long-term SC-islet graft effectiveness. However, a method for noninvasive in vivo monitoring for SC-islet graft safety and efficacy is lacking, as current insulin secretion measurements are inadequate. Here, we demonstrate the potential of positron emission tomography (PET) for monitoring SC-islet grafts using two tracers: GLP1-receptor binding [18F]F-DBCO-exendin and dopamine precursor [18F]FDOPA. We could detect and longitudinally monitor human SC-islet grafts in calf muscles of immunocompromised mice. Importantly, graft volume quantified with PET strongly correlated with actual graft volume (r2=0.91 for [18F]F-DBCO-exendin). PET using [18F]F-DBCO-exendin allowed delineation of cystic structures and its uptake correlated with graft beta cell proportion, enabling study of SC-islet graft purity noninvasively. [18F]FDOPA performed similarly to [18F]F-DBCO-exendin, but with slightly weaker sensitivity. Uptake of neither tracer was biased in SC-islet grafts genetically rendered hyper- or hypoactive. Insulin secretion measurements under fasted, glucose-stimulated or hypoglycemic conditions did not correlate with graft volume. In conclusion, [18F]F-DBCO-exendin and [18F]FDOPA PET constitute powerful approaches to noninvasively assess SC-islet graft volume and composition regardless of their functionality. PET imaging could therefore be leveraged for optimizing safety and effectiveness of SC-islet grafts in patients with insulin dependent diabetes.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSetyono '25Lu '26Fiancette '26Balboa '22Gooch '19Davis '24
68% semantic matchBioengineering
Eunike Sawitning Ayu Setyono, Nicole Katarina Rogers, Katharina Scheibner+7 more·bioRxiv·Aug 22, 2025· 2 citations