Literature DB >> 9710305

Evaluation of a purified enzyme blend for the recovery and function of canine pancreatic islets.

J R Lakey1, T J Cavanagh, M A Zieger, M Wright.   

Abstract

Recently developed technologies enabling the production of a reproducible, purified enzyme blend for optimal human pancreatic islet isolation has renewed interest in clinical islet transplantation. The canine model has been an ideal preclinical model for the development of islet transplantation protocols. As seen in other species, the application of crude collagenase for isolating canine islets resulted in highly variable islet yields, extensive islet fragmentation, and variable islet functionality. We compared the function of commercially available crude collagenases with that of Liberase-CI purified enzyme blend for canine islet isolation. We also compared two manufacturing runs of Liberase-CI enzyme (lots 1 and 2) to demonstrate reproducibility of islet recovery and function. We report on the improved recovery and function of islets isolated using Liberase-CI enzyme. No difference in dog age, mean body weight, or pancreas weight were observed between the experimental groups. We observed a significantly higher postpurification recovery of islet equivalent number (IE) from pancreases processed using two lots of Liberase-CI enzyme (189 +/- 20 x 10(3) IE, n = 4) and lot 2 (234 +/- 39 x 10(3) IE, n = 7) than that obtained from pancreases processed with Sigma Type V (116.8 +/- 27 x 10(3) IE, n = 5), Serva collagenase (49 +/- 11.6 x 10(3) IE, n = 5, p < 0.05) or Boehringer-Mannheim (BM) Type P collagenase (85.4 +/- 25 x 10(3) IE, n = 5, p < 0.05, ANOVA). No significant differences were observed in islet yield recovery from pancreases processed using the two production lots of Liberase-CI enzyme. Islet survival after 48 h in culture at 37 degrees C was significantly higher from islets isolated using Liberase-CI enzyme (88 +/- 3.7% survival) when compared to Sigma Type V (81.8 +/- 3.3%), Serva (71.7 +/- 2.8%), and BM Type P (77 +/- 7.2%) (p < 0.05). Islet functional testing in vitro demonstrated islets isolated using crude collagenase had an increased insulin basal release and a reduced insulin stimulated response when compared with islets isolated using the two lots of Liberase-CI enzyme. The calculated stimulation index was 7.8 +/- 1.7, 3.1 +/- 0.6, and 4.8 +/- 1.1 for Sigma Type V, Serva, and BM Type P isolated islets, respectively, compared to 15.7 +/- 1.6 and 16.2 +/- 1.9 for islets isolated with Liberase-CI enzyme production lots 1 and 2, respectively (p < 0.05). This evaluation demonstrates that a purified enzyme blend can significantly improve islet recovery and function. It also demonstrates the manufacturing reproducibility of Liberase-CI enzyme lots resulting in the isolation of canine islets with the same degree of efficacy. A blend of purified enzymes, specifically formulated for canine islet isolation, can consistently yield large numbers of islets that survive longer in culture and demonstrate an improved insulin response in vitro.

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Year:  1998        PMID: 9710305     DOI: 10.1177/096368979800700404

Source DB:  PubMed          Journal:  Cell Transplant        ISSN: 0963-6897            Impact factor:   4.139


  11 in total

1.  25 YEARS OF THE RICORDI AUTOMATED METHOD FOR ISLET ISOLATION.

Authors:  Lorenzo Piemonti; Antonello Pileggi
Journal:  CellR4 Repair Replace Regen Reprogram       Date:  2013

Review 2.  Enzyme Development for Human Islet Isolation: Five Decades of Progress or Stagnation?

Authors:  Daniel Brandhorst; Heide Brandhorst; Paul R V Johnson
Journal:  Rev Diabet Stud       Date:  2017-06-12

3.  Improved enzymatic isolation of fibroblasts for the creation of autologous skin substitutes.

Authors:  Hongjun Wang; Clemens A Van Blitterswijk; Marion Bertrand-De Haas; Arnold H Schuurman; Evert N Lamme
Journal:  In Vitro Cell Dev Biol Anim       Date:  2004 Sep-Oct       Impact factor: 2.416

4.  Evaluation of viable β-cell mass is useful for selecting collagenase for human islet isolation: comparison of collagenase NB1 and liberase HI.

Authors:  R Misawa; C Ricordi; A Miki; S Barker; R D Molano; A Khan; S Miyagawa; L Inverardi; R Alejandro; A Pileggi; H Ichii
Journal:  Cell Transplant       Date:  2011-09-16       Impact factor: 4.064

5.  Simplified method to isolate highly pure canine pancreatic islets.

Authors:  Orison O Woolcott; Richard N Bergman; Joyce M Richey; Erlinda L Kirkman; L Nicole Harrison; Viorica Ionut; Maya Lottati; Dan Zheng; Isabel R Hsu; Darko Stefanovski; Morvarid Kabir; Stella P Kim; Karyn J Catalano; Jenny D Chiu; Robert H Chow
Journal:  Pancreas       Date:  2012-01       Impact factor: 3.327

6.  Modulation of JNK and p38 stress activated protein kinases in isolated islets of Langerhans: insulin as an autocrine survival signal.

Authors:  S Paraskevas; R Aikin; D Maysinger; J R Lakey; T J Cavanagh; D Agapitos; R Wang; L Rosenberg
Journal:  Ann Surg       Date:  2001-01       Impact factor: 12.969

7.  Highly purified versus filtered crude collagenase: comparable human islet isolation outcomes.

Authors:  Yong Wang; Daniel Paushter; Shusen Wang; Barbara Barbaro; Tricia Harvat; Kirstie K Danielson; Katie Kinzer; Liza Zhang; Meirigeng Qi; Jose Oberholzer
Journal:  Cell Transplant       Date:  2011-03-07       Impact factor: 4.064

8.  Pancreatic islet isolation variables in non-human primates (rhesus macaques).

Authors:  P Andrades; C K Asiedu; B Gansuvd; S Inusah; K J Goodwin; L A Deckard; U Jargal; J M Thomas
Journal:  Diabetologia       Date:  2008-05-09       Impact factor: 10.122

9.  Isolation and culture of fibroblasts from endoscopic duodenal biopsies of celiac patients.

Authors:  Leda Roncoroni; Luca Elli; Luisa Doneda; Luca Piodi; Michele M Ciulla; Roberta Paliotti; Maria Teresa Bardella
Journal:  J Transl Med       Date:  2009-06-04       Impact factor: 5.531

10.  Improved yield of canine islet isolation from deceased donors.

Authors:  Stephen Harrington; S Janette Williams; Vern Otte; Sally Barchman; Cheryl Jones; Karthik Ramachandran; Lisa Stehno-Bittel
Journal:  BMC Vet Res       Date:  2017-08-22       Impact factor: 2.741

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