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In vivo imaging of islet transplantation


By JPGRAY - Posted on 24 February 2009

TitleIn vivo imaging of islet transplantation
Publication TypeJournal Article
Year of Publication2006
AuthorsEvgenov NV, Medarova Z, Dai G, Bonner-Weir S, Moore A
JournalNat Med
Volume12
Issue1
Pagination144-8
Date PublishedJan
Publication Languageeng
ISBN Number1078-8956 (Print)
Accession Number16380717
Key WordsTime Factors, Microscopy, Fluorescence, Mice, Animals, Islets of Langerhans/*cytology, Humans, Disease Models, Animal, Diabetes Mellitus, Phantoms, Imaging, Electron/methods, Confocal/methods, Nude, Magnetic Resonance Imaging/methods, Islets of Langerhans Transplantation/*pathology, Hyperglycemia, Enzyme-Linked Immunosorbent Assay, Type 1/*pathology, Experimental, Cell Transplantation
Abstract

Type 1 diabetes mellitus is characterized by the selective destruction of insulin-producing beta cells, which leads to a deficiency in insulin secretion and, as a result, to hyperglycemia. At present, transplantation of pancreatic islets is an emerging and promising clinical modality, which can render individuals with type 1 diabetes insulin independent without increasing the incidence of hypoglycemic events. To monitor transplantation efficiency and graft survival, reliable noninvasive imaging methods are needed. If such methods were introduced into the clinic, essential information could be obtained repeatedly and noninvasively. Here we report on the in vivo detection of transplanted human pancreatic islets using magnetic resonance imaging (MRI) that allowed noninvasive monitoring of islet grafts in diabetic mice in real time. We anticipate that the information obtained in this study would ultimately result in the ability to detect and monitor islet engraftment in humans, which would greatly aid the clinical management of this disease.

Notes

DK071225/DK/NIDDK NIH HHS/United StatesJournal ArticleResearch Support, N.I.H., ExtramuralUnited States

URLhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16380717
Citation Key327
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