Literature DB >> 19719726

Validation of methodologies for quantifying isolated human islets: an Islet Cell Resources study.

H J Kissler1, J C Niland, B Olack, C Ricordi, B J Hering, A Naji, F Kandeel, J Oberholzer, L Fernandez, J Contreras, T Stiller, J Sowinski, D B Kaufman.   

Abstract

BACKGROUND: Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes.
METHODS: This multi-center study involved all eight member institutions of the National Institutes of Health-supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone-stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra-observer variability), and intermediate precision (inter-observer variability). The secondary aim of the study was to evaluate a new software-assisted digital image analysis method as a supplement for islet quantification.
RESULTS: The study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software-assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method.
CONCLUSIONS: Standard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer-assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice.

Entities:  

Mesh:

Year:  2009        PMID: 19719726      PMCID: PMC3166241          DOI: 10.1111/j.1399-0012.2009.01052.x

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  19 in total

1.  Comparison of semi-automated image analysis and manual methods for tissue quantification in pancreatic carcinoma.

Authors:  A J Sims; M K Bennett; A Murray
Journal:  Phys Med Biol       Date:  2002-04-21       Impact factor: 3.609

2.  Computerized determination of proliferating cell nuclear antigen expression in meningiomas. A comparison with non-automated method.

Authors:  A Konstantinidou; E Patsouris; N Kavantzas; P M Pavlopoulos; V Bouropoulou; P Davaris
Journal:  Gen Diagn Pathol       Date:  1997-06

3.  A computerized image analysis system for quantitative analysis of cells in histological brain sections.

Authors:  Alia Benali; Iris Leefken; Ulf T Eysel; Elke Weiler
Journal:  J Neurosci Methods       Date:  2003-05-30       Impact factor: 2.390

4.  Digital imaging as a possible approach in evaluation of islet yield.

Authors:  Peter Girman; Jan Kríz; Jozef Friedmanský; Frantisek Saudek
Journal:  Cell Transplant       Date:  2003       Impact factor: 4.064

5.  An objective procedure for ischemic area evaluation of the stroke intraluminal thread model in the mouse and rat.

Authors:  Eric J Wexler; Elaine E Peters; Armando Gonzales; Maria L Gonzales; Andrew M Slee; Janet S Kerr
Journal:  J Neurosci Methods       Date:  2002-01-15       Impact factor: 2.390

6.  An improved technique for the isolation and identification of mammalian islets of Langerhans.

Authors:  R Downing; D W Scharp; W F Ballinger
Journal:  Transplantation       Date:  1980       Impact factor: 4.939

7.  Plasma cell quantification in bone marrow by computer-assisted image analysis.

Authors:  P Went; S Mayer; M Oberholzer; S Dirnhofer
Journal:  Histol Histopathol       Date:  2006-09       Impact factor: 2.303

8.  In vitro staining of islets of Langerhans for fluorescence-activated cell sorting.

Authors:  L Jiao; D W Gray; W Göhde; G J Flynn; P J Morris
Journal:  Transplantation       Date:  1991-09       Impact factor: 4.939

9.  Computer image analysis for measuring lean and fatty areas in cross-sectioned dry-cured hams.

Authors:  P Carnier; L Gallo; C Romani; E Sturaro; V Bondesan
Journal:  J Anim Sci       Date:  2004-03       Impact factor: 3.159

10.  Improved assessment of isolated islet tissue volume using digital image analysis.

Authors:  J P Stegemann; J J O'Neil; D T Nicholson; C J Mullon
Journal:  Cell Transplant       Date:  1998 Sep-Oct       Impact factor: 4.139

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  22 in total

1.  Laparoscopic Total Pancreatectomy With Islet Autotransplantation and Intraoperative Islet Separation as a Treatment for Patients With Chronic Pancreatitis.

Authors:  Caleb J Fan; Kenzo Hirose; Christi M Walsh; Michael Quartuccio; Niraj M Desai; Vikesh K Singh; Rita R Kalyani; Daniel S Warren; Zhaoli Sun; Marie N Hanna; Martin A Makary
Journal:  JAMA Surg       Date:  2017-06-01       Impact factor: 14.766

2.  Glucose-stimulated insulin release: Parallel perifusion studies of free and hydrogel encapsulated human pancreatic islets.

Authors:  Peter Buchwald; Alejandro Tamayo-Garcia; Vita Manzoli; Alice A Tomei; Cherie L Stabler
Journal:  Biotechnol Bioeng       Date:  2017-09-19       Impact factor: 4.530

3.  Effect of Manufacturing Procedures on Human Islet Isolation From Donor Pancreata Standardized by the North American Islet Donor Score.

Authors:  Chun-Chieh Yeh; Ling-Jia Wang; James J McGarrigle; Yong Wang; Chien-Chang Liao; Mustafa Omami; Arshad Khan; Mohammad Nourmohammadzadeh; Joshua Mendoza-Elias; Benjamin McCracken; Enza Marchese; Barbara Barbaro; Jose Oberholzer
Journal:  Cell Transplant       Date:  2016-08-12       Impact factor: 4.064

4.  Application of Digital Image Analysis to Determine Pancreatic Islet Mass and Purity in Clinical Islet Isolation and Transplantation.

Authors:  Ling-Jia Wang; Hermann J Kissler; Xiaojun Wang; Olivia Cochet; Adam Krzystyniak; Ryosuke Misawa; Karolina Golab; Martin Tibudan; Jakub Grzanka; Omid Savari; Dixon B Kaufman; Michael Millis; Piotr Witkowski
Journal:  Cell Transplant       Date:  2014-05-06       Impact factor: 4.064

5.  Multicenter analysis of novel and established variables associated with successful human islet isolation outcomes.

Authors:  J S Kaddis; J S Danobeitia; J C Niland; T Stiller; L A Fernandez
Journal:  Am J Transplant       Date:  2010-01-05       Impact factor: 8.086

6.  Standardized transportation of human islets: an islet cell resource center study of more than 2,000 shipments.

Authors:  John S Kaddis; Matthew S Hanson; James Cravens; Dajun Qian; Barbara Olack; Martha Antler; Klearchos K Papas; Itzia Iglesias; Barbara Barbaro; Luis Fernandez; Alvin C Powers; Joyce C Niland
Journal:  Cell Transplant       Date:  2012-08-10       Impact factor: 4.064

7.  Systematic analysis of donor and isolation factor's impact on human islet yield and size distribution.

Authors:  Y Wang; K K Danielson; A Ropski; T Harvat; B Barbaro; D Paushter; M Qi; J Oberholzer
Journal:  Cell Transplant       Date:  2013-01-28       Impact factor: 4.064

8.  Synthetic poly(ethylene glycol)-based microfluidic islet encapsulation reduces graft volume for delivery to highly vascularized and retrievable transplant site.

Authors:  Jessica D Weaver; Devon M Headen; Maria M Coronel; Michael D Hunckler; Haval Shirwan; Andrés J García
Journal:  Am J Transplant       Date:  2018-12-05       Impact factor: 8.086

9.  Design of a vascularized synthetic poly(ethylene glycol) macroencapsulation device for islet transplantation.

Authors:  Jessica D Weaver; Devon M Headen; Michael D Hunckler; Maria M Coronel; Cherie L Stabler; Andrés J García
Journal:  Biomaterials       Date:  2018-04-25       Impact factor: 12.479

10.  Image-Based Machine Learning Algorithms for Disease Characterization in the Human Type 1 Diabetes Pancreas.

Authors:  Xiaohan Tang; Irina Kusmartseva; Shweta Kulkarni; Amanda Posgai; Stephan Speier; Desmond A Schatz; Michael J Haller; Martha Campbell-Thompson; Clive H Wasserfall; Bart O Roep; John S Kaddis; Mark A Atkinson
Journal:  Am J Pathol       Date:  2020-12-08       Impact factor: 4.307

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