Literature DB >> 25198915

MR imaging monitoring of iron-labeled pancreatic islets in a small series of patients: islet fate in successful, unsuccessful, and autotransplantation.

Maria Luisa Malosio1, Antonio Esposito, Cristina Brigatti, Anna Palmisano, Lorenzo Piemonti, Rita Nano, Paola Maffi, Francesco De Cobelli, Alessandro Del Maschio, Antonio Secchi.   

Abstract

Islet transplantation is one of the most promising and effective therapies for restoring normoglycemia in type 1 diabetes (T1D) patients, but islet engraftment is one of the main obstacles hampering long-term success. Monitoring graft loss, caused either by immunological or nonimmunological events, occurring in the first phase after transplantation and at later stages of a patient's life is a very important issue. Among the imaging approaches previously applied, magnetic resonance imaging (MRI) monitoring of islet fate following labeling with superparamagnetic iron oxide agents yielded promising results. The aim of this study was to translate into patients the method of islet labeling and MRI monitoring developed in our preclinical setting and to compare imaging results with graft clinical outcome.Three T1D patients and one nondiabetic patient undergoing autotransplantation following subtotal pancreatectomy received Endorem(®)-labeled islets. Patients were monitored by MRI and metabolically (HbA1c, exogenous insulin requirement, and C-peptide, TEF) at 1, 3, and 7 days following transplantation and once a month up to 10 months. Labeled transplanted islets appeared as hypointense areas scattered within the liver parenchyma, whose absolute number at 24 h after transplantation reflected the labeling efficiency. In patients #1 and #3 with good midterm graft function, MRI follow-up showed an important early loss of hypointense spots followed by a slow and progressive disappearance at later timepoints. Graft loss of function in patient #2 4 weeks after transplantation was associated with the complete disappearance of all hypointense signals. The autotransplanted patient, stably insulin free, showed no significant signal reduction during the first 3 days, followed by loss of spots similar to a patient with good midterm graft function. These results suggest that MRI monitoring of islet transplantation at early time points could represent a meaningful readout for helping in predicting transplant failure or success, but its relevance for mid/long-term islet function assessment appears evanescent.

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Year:  2014        PMID: 25198915     DOI: 10.3727/096368914X684060

Source DB:  PubMed          Journal:  Cell Transplant        ISSN: 0963-6897            Impact factor:   4.064


  10 in total

1.  Targeting CXCR1/2 Does Not Improve Insulin Secretion After Pancreatic Islet Transplantation: A Phase 3, Double-Blind, Randomized, Placebo-Controlled Trial in Type 1 Diabetes.

Authors:  Paola Maffi; Torbjörn Lundgren; Gunnar Tufveson; Ehab Rafael; James A M Shaw; Aaron Liew; Frantisek Saudek; Piotr Witkowski; Karolina Golab; Federico Bertuzzi; Bengt Gustafsson; Luisa Daffonchio; Pier Adelchi Ruffini; Lorenzo Piemonti
Journal:  Diabetes Care       Date:  2020-02-04       Impact factor: 19.112

Review 2.  A comprehensive literatures update of clinical researches of superparamagnetic resonance iron oxide nanoparticles for magnetic resonance imaging.

Authors:  Yì Xiáng J Wáng; Jean-Marc Idée
Journal:  Quant Imaging Med Surg       Date:  2017-02

Review 3.  Allo- and auto-percutaneous intra-portal pancreatic islet transplantation (PIPIT) for diabetes cure and prevention: the role of imaging and interventional radiology.

Authors:  Massimo Venturini; Claudio Sallemi; Paolo Marra; Anna Palmisano; Giulia Agostini; Carolina Lanza; Gianpaolo Balzano; Massimo Falconi; Antonio Secchi; Paolo Fiorina; Lorenzo Piemonti; Paola Maffi; Antonio Esposito; Francesco De Cobelli; Alessandro Del Maschio
Journal:  Gland Surg       Date:  2018-04

4.  Positron Emission Tomography to Assess the Outcome of Intraportal Islet Transplantation.

Authors:  Olof Eriksson; Ramkumar Selvaraju; Torsten Eich; Mariam Willny; Torkel B Brismar; Lina Carlbom; Håkan Ahlström; Gunnar Tufvesson; Torbjörn Lundgren; Olle Korsgren
Journal:  Diabetes       Date:  2016-06-20       Impact factor: 9.461

Review 5.  Human beta cell mass and function in diabetes: Recent advances in knowledge and technologies to understand disease pathogenesis.

Authors:  Chunguang Chen; Christian M Cohrs; Julia Stertmann; Robert Bozsak; Stephan Speier
Journal:  Mol Metab       Date:  2017-07-08       Impact factor: 7.422

6.  Development of Superparamagnetic Nanoparticles Coated with Polyacrylic Acid and Aluminum Hydroxide as an Efficient Contrast Agent for Multimodal Imaging.

Authors:  Manuel Antonio González-Gómez; Sarah Belderbos; Susana Yañez-Vilar; Yolanda Piñeiro; Frederik Cleeren; Guy Bormans; Christophe M Deroose; Willy Gsell; Uwe Himmelreich; José Rivas
Journal:  Nanomaterials (Basel)       Date:  2019-11-15       Impact factor: 5.076

Review 7.  In Vivo Imaging of Pancreatic Islet Grafts in Diabetes Treatment.

Authors:  Dian R Arifin; Jeff W M Bulte
Journal:  Front Endocrinol (Lausanne)       Date:  2021-03-02       Impact factor: 5.555

8.  RNA aptamers specific for transmembrane p24 trafficking protein 6 and Clusterin for the targeted delivery of imaging reagents and RNA therapeutics to human β cells.

Authors:  Dimitri Van Simaeys; Adriana De La Fuente; Serena Zilio; Alessia Zoso; Victoria Kuznetsova; Oscar Alcazar; Peter Buchwald; Andrea Grilli; Jimmy Caroli; Silvio Bicciato; Paolo Serafini
Journal:  Nat Commun       Date:  2022-04-05       Impact factor: 17.694

Review 9.  Clinical Tracking of Cell Transfer and Cell Transplantation: Trials and Tribulations.

Authors:  Jeff W M Bulte; Heike E Daldrup-Link
Journal:  Radiology       Date:  2018-10-09       Impact factor: 29.146

10.  MRI tracking of autologous pancreatic progenitor-derived insulin-producing cells in monkeys.

Authors:  Chunlin Zou; Yi Lu; Xiahong Teng; Shuyan Wang; Xiaoting Sun; Fen Huang; Guannan Shu; Xin Huang; Hongwei Guo; Zhiguo Chen; Jian Zhang; Yu Alex Zhang
Journal:  Sci Rep       Date:  2017-05-31       Impact factor: 4.379

  10 in total

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