4.3 Article

Improved Quantification of Islet Transplants by Magnetic Resonance Imaging With Resovist

Journal

PANCREAS
Volume 40, Issue 6, Pages 911-919

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MPA.0b013e31821fd66a

Keywords

islet transplantation; islet survival; nanoparticle; Resovist; MRI; in vivo imaging

Funding

  1. IN-SUNG Foundation for Medical Research and Samsung Biomedical Research
  2. Republic of Korea [SBRI C-B0-213-1]
  3. Korea Healthcare Technology RD Project
  4. Ministry for Health, Welfare & Family Affairs, Republic of Korea [A080568]
  5. Korea Health Promotion Institute [A080568] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Objectives: We aimed to develop an accurate and reproducible method to quantify transplanted islets and monitor their functional status in vivo. To support this aim, we investigated the cytotoxic effect of Resovist on islet function and survival. Methods: The average pixel number for a single Resovist-labeled islet was measured. To determine Resovist cytotoxicity, DNA fragmentation, adenosine diphosphate-adenosine triphosphate ratio, ion channel activity, and in vivo islet function were evaluated. To quantitatively monitor the fate of islet transplant, we transplanted Resovist-labeled islets into syngeneic C57BL/6 mice for magnetic resonance imaging analysis. Results: The average pixel volume for a medium-sized islet (100-150 Km in diameter) was determined from the contrast signal void of magnetic resonance image. Toxicological analysis showed that Resovist did not affect islet at concentrations up to 40 times the labeling dose. In the quantitative analysis, the number of contrast spots did not correlated with the number of transplanted islets, whereas our newly adopted measure showed a significant correlation. Conclusions: Islet transplant survival may be safely and accurately monitored using magnetic resonance imaging with the Resovist. We found in this study that pixel number may correlate more closely than the number of contrast spots with the number of islets transplanted.

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