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Measuring the Pancreatic β Cell Mass in Vivo with Exendin SPECT during Hyperglycemia and Severe Insulitis. | LitMetric

AI Article Synopsis

  • This study investigates the use of radiolabeled exendin to measure β cell mass in the pancreas for better understanding diabetes.
  • NOD mice were injected with a specific tracer to visualize pancreatic exendin uptake using SPECT imaging, correlating it with β cell mass.
  • Results showed a strong correlation between β cell mass and exendin uptake, indicating effectiveness even in the presence of hyperglycemia and insulitis.

Article Abstract

Objective: Targeting the glucagon-like peptide-1 receptor with radiolabeled exendin is a very promising method to noninvasively determine the β cell mass in the pancreas, which is needed to unravel the pathophysiology of type 1 and type 2 diabetes. The present study aimed to explore the effects of both hyperglycemia and insulitis on the uptake of exendin in a spontaneous type 1 diabetes mouse model, nonobese diabetic (NOD) mice.

Methods: NOD mice ( = 75, 7-21 weeks old) were injected intravenously with [In]In-DTPA-exendin-3, and single-photon emission computed tomography (SPECT) images were acquired 1 h pi. The pancreatic accumulation of [In]In-DTPA-exendin-3 was quantified in vivo using SPECT and by ex vivo counting and correlated to the β cell mass (BCM). The influence of insulitis and hyperglycemia on the exendin uptake was assessed.

Results: The pancreas could be visualized longitudinally using SPECT. A linear correlation was found between the BCM (%) and pancreatic uptake (%ID/g) as measured by ex vivo counting (Pearson = 0.64, < 0.001), which was not affected by either insulitis (Pearson = 0.66, = 0.83) or hyperglycemia (Pearson = 0.57, = 0.51). Biodistribution and ex vivo autoradiography revealed remaining [In]In-DTPA-exendin-3 uptake in the pancreas despite total ablation of BCM.

Conclusions: Despite hyperglycemia and severe insulitis, we have found a good correlation between BCM and pancreatic exendin uptake, even in a suboptimal model with relatively high background activity.

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Source
http://dx.doi.org/10.1021/acs.molpharmaceut.9b00728DOI Listing

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