Literature DB >> 19249542

A novel predictive method for assessing the quality of isolated pancreatic islets using scanning electrochemical microscopy.

M Goto1, H Abe, T Ito-Sasaki, M Goto1, A Inagaki, N Ogawa, K Fujimori, Y Kurokawa, T Matsue, S Satomi.   

Abstract

INTRODUCTION: The current methods for evaluating islet potency are not useful in clinical transplantation. Therefore, we need reliable, rapid methods enabling accurate prediction of islet quality.
MATERIALS AND METHODS: We evaluated respiratory activity using scanning electrochemical microscopy (SECM), glucose-stimulated respiratory activity, glucose-stimulated insulin release, ADP/ATP assays, insulin/DNA levels, and Trypan blue exclusion tests as predictive methods for the ability of isolated rat islets to cure syngeneic diabetic rats.
RESULTS: Although glucose-stimulated respiratory activity, basal respiratory activity, ADP/ATP ratio, and glucose-stimulated insulin release were significantly correlated with the outcome of transplantation into diabetic rats, there was no correlation between outcomes, insulin/DNA ratios, and Trypan blue exclusion tests. The glucose-stimulated respiratory activity in islet preparations that could cure diabetic rats was significantly greater than those unable to cure diabetes. Rat islets with >1.5-fold glucose-stimulated respiratory activity consistently cured diabetic rats, whereas those with a value <1.5 hardly cured any rats.
CONCLUSION: Measurement of the glucose-stimulated respiratory activity using SECM technique is a novel method that may be useful as a rapid, potent predictor of the outcome of clinical islet transplantation.

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Year:  2009        PMID: 19249542     DOI: 10.1016/j.transproceed.2008.10.075

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


  8 in total

Review 1.  Re-engineering islet cell transplantation.

Authors:  Nicoletta Fotino; Carmen Fotino; Antonello Pileggi
Journal:  Pharmacol Res       Date:  2015-03-23       Impact factor: 7.658

2.  Quantitative assessment of islets of Langerhans encapsulated in alginate.

Authors:  Amy S Johnson; Esther O'Sullivan; Laura N D'Aoust; Abdulkadir Omer; Susan Bonner-Weir; Robert J Fisher; Gordon C Weir; Clark K Colton
Journal:  Tissue Eng Part C Methods       Date:  2011-01-16       Impact factor: 3.056

Review 3.  Islet assessment for transplantation.

Authors:  Klearchos K Papas; Thomas M Suszynski; Clark K Colton
Journal:  Curr Opin Organ Transplant       Date:  2009-12       Impact factor: 2.640

4.  A local glucose-and oxygen concentration-based insulin secretion model for pancreatic islets.

Authors:  Peter Buchwald
Journal:  Theor Biol Med Model       Date:  2011-06-21       Impact factor: 2.432

5.  The Optimization of Short-Term Hepatocyte Preservation Before Transplantation.

Authors:  Kengo Fukuoka; Akiko Inagaki; Yasuhiro Nakamura; Muneyuki Matsumura; Satoru Yoshida; Takehiro Imura; Yasuhiro Igarashi; Shigehito Miyagi; Kazuo Ohashi; Shin Enosawa; Takashi Kamei; Michiaki Unno; Noriaki Ohuchi; Susumu Satomi; Masafumi Goto
Journal:  Transplant Direct       Date:  2017-06-19

6.  A Simple and Useful Predictive Assay for Evaluating the Quality of Isolated Hepatocytes for Hepatocyte Transplantation.

Authors:  Muneyuki Matsumura; Takehiro Imura; Akiko Inagaki; Hiroyuki Ogasawara; Kengo Fukuoka; Ibrahim Fathi; Shigehito Miyagi; Kazuo Ohashi; Michiaki Unno; Takashi Kamei; Susumu Satomi; Masafumi Goto
Journal:  Sci Rep       Date:  2019-04-16       Impact factor: 4.379

7.  KRP-203 Is a Desirable Immunomodulator for Islet Allotransplantation.

Authors:  Ibrahim Fathi; Ryuichi Nishimura; Takehiro Imura; Akiko Inagaki; Norifumi Kanai; Akira Ushiyama; Masafumi Kikuchi; Masamitsu Maekawa; Hiroaki Yamaguchi; Masafumi Goto
Journal:  Transplantation       Date:  2021-07-01       Impact factor: 5.385

8.  Ductal injection does not increase the islet yield or function after cold storage in a vascular perfusion model.

Authors:  Wataru Nakanishi; Takehiro Imura; Akiko Inagaki; Yasuhiro Nakamura; Satoshi Sekiguchi; Keisei Fujimori; Susumu Satomi; Masafumi Goto
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

  8 in total

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