Literature DB >> 20447343

Effectiveness of a web-based automated cell distribution system.

Joyce C Niland1, Tracey Stiller, James Cravens, Janice Sowinski, John Kaddis, Dajun Qian.   

Abstract

In recent years, industries have turned to the field of operations research to help improve the efficiency of production and distribution processes. Largely absent is the application of this methodology to biological materials, such as the complex and costly procedure of human pancreas procurement and islet isolation. Pancreatic islets are used for basic science research and in a promising form of cell replacement therapy for a subset of patients afflicted with severe type 1 diabetes mellitus. Having an accurate and reliable system for cell distribution is therefore crucial. The Islet Cell Resource Center Consortium was formed in 2001 as the first and largest cooperative group of islet production and distribution facilities in the world. We previously reported on the development of a Matching Algorithm for Islet Distribution (MAID), an automated web-based tool used to optimize the distribution of human pancreatic islets by matching investigator requests to islet characteristics. This article presents an assessment of that algorithm and compares it to the manual distribution process used prior to MAID. A comparison was done using an investigator's ratio of the number of islets received divided by the number requested pre- and post-MAID. Although the supply of islets increased between the pre- versus post-MAID period, the median received-to-requested ratio remained around 60% due to an increase in demand post-MAID. A significantly smaller variation in the received-to-requested ratio was achieved in the post- versus pre-MAID period. In particular, the undesirable outcome of providing users with more islets than requested, ranging up to four times their request, was greatly reduced through the algorithm. In conclusion, this analysis demonstrates, for the first time, the effectiveness of using an automated web-based cell distribution system to facilitate efficient and consistent delivery of human pancreatic islets by enhancing the islet matching process.

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Year:  2010        PMID: 20447343      PMCID: PMC3242440          DOI: 10.3727/096368910X505486

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


  6 in total

1.  The human pancreatic islet cell resource consortium.

Authors:  Richard A Knazek
Journal:  Diabetes Technol Ther       Date:  2002       Impact factor: 6.118

Review 2.  Clinical islet transplantation: advances and immunological challenges.

Authors:  Camillo Ricordi; Terry B Strom
Journal:  Nat Rev Immunol       Date:  2004-04       Impact factor: 53.106

3.  A matching algorithm for the distribution of human pancreatic islets.

Authors:  Dajun Qian; John Kaddis; Joyce C Niland
Journal:  Comput Stat Data Anal       Date:  2007-08       Impact factor: 1.681

4.  Pancreas versus islet transplantation in diabetes mellitus: How to allocate deceased donor pancreata?

Authors:  R Kandaswamy; D E R Sutherland
Journal:  Transplant Proc       Date:  2006-03       Impact factor: 1.066

5.  2008 Update from the Collaborative Islet Transplant Registry.

Authors:  Rodolfo Alejandro; Franca B Barton; Bernhard J Hering; Steve Wease
Journal:  Transplantation       Date:  2008-12-27       Impact factor: 4.939

6.  Human pancreatic islets and diabetes research.

Authors:  John S Kaddis; Barbara J Olack; Janice Sowinski; James Cravens; Juan L Contreras; Joyce C Niland
Journal:  JAMA       Date:  2009-04-15       Impact factor: 56.272

  6 in total
  3 in total

1.  The Integrated Islet Distribution Program answers the call for improved human islet phenotyping and reporting of human islet characteristics in research articles.

Authors:  Marcela Brissova; Joyce C Niland; James Cravens; Barbara Olack; Janice Sowinski; Carmella Evans-Molina
Journal:  Diabetologia       Date:  2019-05-15       Impact factor: 10.122

Review 2.  Use of human islets to understand islet biology and diabetes: progress, challenges and suggestions.

Authors:  Nathaniel J Hart; Alvin C Powers
Journal:  Diabetologia       Date:  2018-12-14       Impact factor: 10.122

3.  The Integrated Islet Distribution Program Answers the Call for Improved Human Islet Phenotyping and Reporting of Human Islet Characteristics in Research Articles.

Authors:  Marcela Brissova; Joyce C Niland; James Cravens; Barbara Olack; Janice Sowinski; Carmella Evans-Molina
Journal:  Diabetes       Date:  2019-05-15       Impact factor: 9.461

  3 in total

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