Literature DB >> 18374096

Magnetic resonance imaging of pancreatic islets transplanted into the right liver lobes of diabetic mice.

J Kriz1, D Jirak, D White, P Foster.   

Abstract

INTRODUCTION: Pancreatic islets (PI) labeled with Feridex can be visualized using magnetic resonance imaging (MRI) after transplantation into the liver. However, there is still no accurate method of quantifying the signal loss caused by the iron contrast agent within transplanted tissue. The aim of this study was to test a new method for quantifying signal loss during the early posttransplantation period.
METHODS: Isolated mouse PI (C57BL/6 and BALB/c) were labeled in CMRL-1066 culture media supplemented with Feridex. Two hundred twenty PI were injected directly into the right liver lobes of BALB/c diabetic (streptozotocine 220 mg/kg) recipients (isografts, n = 3; allografts, n = 3). Animals were scanned at 3 T, on a whole body scanner equipped with a high-performance gradient insert and using the 3D FIESTA sequence, on days 1, 7, and 14. Signal loss was quantified by comparison of liver tissue with and without labeled PI. Signal loss detected on the first scan was rated as 100% and subsequent measurements were recalculated as relative numbers.
RESULTS: While the function of the isografts remained stable throughout the study, the allografts failed on days 5 and 10. A decrease in the amount of signal loss was observed in all animals and was comparable after the first week in both groups. However, there was a difference between groups after the second week (mean +/- SD; isografts, 100% --> 61.8 +/- 6.74% --> 47.18 +/- 7.14%; allografts, 100% --> 59.39 +/- 8.54% --> 38.16 +/- 6.81%).
CONCLUSION: Disappearance of signal loss is comparable in all animals during the first week and seems to be independent of acute rejection.

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Year:  2008        PMID: 18374096     DOI: 10.1016/j.transproceed.2008.02.018

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  8 in total

1.  Monitoring the survival of islet transplants by MRI using a novel technique for their automated detection and quantification.

Authors:  Daniel Jirak; Jan Kriz; Michal Strzelecki; Jiabi Yang; Craig Hasilo; David J White; Paula J Foster
Journal:  MAGMA       Date:  2009-04-24       Impact factor: 2.310

Review 2.  Imaging the pancreas: from ex vivo to non-invasive technology.

Authors:  D Holmberg; U Ahlgren
Journal:  Diabetologia       Date:  2008-09-06       Impact factor: 10.122

3.  Novel Positive-Charged Nanoparticles for Efficient Magnetic Resonance Imaging of Islet Transplantation.

Authors:  Koichi Oishi; Hirofumi Noguchi; Hiroaki Saito; Hiroshi Yukawa; Yoshitaka Miyamoto; Kenji Ono; Katsutoshi Murase; Makoto Sawada; Shuji Hayashi
Journal:  Cell Med       Date:  2012-05-08

4.  A novel method for quantitative monitoring of transplanted islets of langerhans by positive contrast magnetic resonance imaging.

Authors:  L A Crowe; F Ris; S Nielles-Vallespin; P Speier; S Masson; M Armanet; P Morel; C Toso; D Bosco; T Berney; J-P Vallee
Journal:  Am J Transplant       Date:  2011-05-12       Impact factor: 8.086

5.  Magnetic resonance imaging of mouse islet grafts labeled with novel chitosan-coated superparamagnetic iron oxide nanoparticles.

Authors:  Jyuhn-Huarng Juang; Chia-Rui Shen; Jiun-Jie Wang; Chien-Hung Kuo; Yu-Wen Chien; Hsiao-Yunn Kuo; Fu-Rong Chen; Ming H Chen; Tzu-Chen Yen; Zei-Tsan Tsai
Journal:  PLoS One       Date:  2013-04-29       Impact factor: 3.240

6.  MRI-Based Assessment of Intralesional Delivery of Bone Marrow-Derived Mesenchymal Stem Cells in a Model of Equine Tendonitis.

Authors:  Alexandra Scharf; Shannon P Holmes; Merrilee Thoresen; Jennifer Mumaw; Alaina Stumpf; John Peroni
Journal:  Stem Cells Int       Date:  2016-09-26       Impact factor: 5.443

7.  Unstable Expression of Commonly Used Reference Genes in Rat Pancreatic Islets Early after Isolation Affects Results of Gene Expression Studies.

Authors:  Lucie Kosinová; Monika Cahová; Eva Fábryová; Irena Týcová; Tomáš Koblas; Ivan Leontovyč; František Saudek; Jan Kříž
Journal:  PLoS One       Date:  2016-04-01       Impact factor: 3.240

8.  A novel model for in vivo quantification of immediate liver perfusion impairment after pancreatic islet transplantation.

Authors:  Lucie Kosinova; Alzbeta Patikova; Daniel Jirak; Andrea Galisova; Alzbeta Vojtiskova; Frantisek Saudek; Jan Kriz
Journal:  Islets       Date:  2019-09-09       Impact factor: 2.694

  8 in total

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