Literature DB >> 16732180

In vivo bioluminescence imaging of transplanted islets and early detection of graft rejection.

Xiaojuan Chen1, Xiaomin Zhang, Courtney S Larson, Marshall S Baker, Dixon B Kaufman.   

Abstract

BACKGROUND: Bioluminescence imaging (BLI) modalities are being developed to monitor islet transplant mass and function in vivo. The aim of this study was to use the BLI system to determine how the change in functional islet mass correlated to metabolic abnormalities during the course of alloimmune rejection in a murine transplant model.
METHODS: Islets obtained from a transgenic mouse strain (FVB/NJ-luc) that constitutively expressed firefly luciferase were transplanted to various implantation sites of syngeneic wild-type FVB/NJ or allogeneic Balb/C streptozotocin-induced diabetic recipients. In vivo graft luminescent signals were repeatedly measured after transplantation using the BLI system and related to blood glucose levels and graft site histologic findings.
RESULTS: The BLI signals were detected in as few as 10 islets implanted in the renal subcapsular space, intrahepatic, intraabdominal, and subcutaneous locations. There was a linear relationship between the number of islets transplanted and luminescence intensity. In isografts, stable luminescence intensity signals occurred within 2 weeks of transplantation and remained consistent on a long-term basis (18 months) after transplantation. In allografts, after normoglycemia was achieved and stable luminescence intensity occurred, graft bioluminescent intensity progressively decreased several days before permanent recurrence of hyperglycemia as a result of histologically proven rejection ensued.
CONCLUSIONS: Bioluminescence imaging is a sensitive method for tracking the fate of islets after transplantation and is a useful method to detect early loss of functional islet mass caused by host immune responses even before overt metabolic dysfunction is evident. Bioluminescence imaging holds promise for use in designing and testing interventions to prolong islet graft survival.

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Year:  2006        PMID: 16732180     DOI: 10.1097/01.tp.0000206109.71181.bf

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  30 in total

1.  Monitoring neovascularization of intraportal islet grafts by dynamic contrast enhanced magnetic resonance imaging.

Authors:  Nathaniel K Chan; Andre Obenaus; Annie Tan; Naoaki Sakata; John Mace; Ricardo Peverini; Richard Chinnock; Lawrence C Sowers; Eba Hathout
Journal:  Islets       Date:  2009-11       Impact factor: 2.694

Review 2.  Imaging of pancreatic islet cells.

Authors:  Dian R Arifin; Jeff W M Bulte
Journal:  Diabetes Metab Res Rev       Date:  2011-11       Impact factor: 4.876

Review 3.  Noninvasive imaging of islet transplantation and rejection.

Authors:  Jason L Gaglia
Journal:  Curr Diab Rep       Date:  2007-08       Impact factor: 4.810

4.  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 5.  MRI as a tool to monitor islet transplantation.

Authors:  Zdravka Medarova; Anna Moore
Journal:  Nat Rev Endocrinol       Date:  2009-06-23       Impact factor: 43.330

Review 6.  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

7.  Prolonging islet allograft survival using in vivo bioluminescence imaging to guide timing of antilymphocyte serum treatment of rejection.

Authors:  Xiaojuan Chen; Xiaomin Zhang; Courtney Larson; Guliang Xia; Dixon B Kaufman
Journal:  Transplantation       Date:  2008-05-15       Impact factor: 4.939

8.  Conditional and specific inhibition of NF-κB in mouse pancreatic β cells prevents cytokine-induced deleterious effects and improves islet survival posttransplant.

Authors:  Jonathan S Rink; Xiaojuan Chen; Xiaomin Zhang; Dixon B Kaufman
Journal:  Surgery       Date:  2011-10-06       Impact factor: 3.982

9.  In vivo detection of extrapancreatic insulin gene expression in diabetic mice by bioluminescence imaging.

Authors:  Xiaojuan Chen; Courtney S Larson; Jason West; Xiaomin Zhang; Dixon B Kaufman
Journal:  PLoS One       Date:  2010-02-24       Impact factor: 3.240

10.  Growth factor delivery from self-assembling nanofibers to facilitate islet transplantation.

Authors:  John C Stendahl; Ling-Jia Wang; Lesley W Chow; Dixon B Kaufman; Samuel I Stupp
Journal:  Transplantation       Date:  2008-08-15       Impact factor: 4.939

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