Document Detail

Systematic Analysis of Donor and Isolation Factor's Impact on Human Islet Yield and Size Distribution.
MedLine Citation:
PMID:  23363652     Owner:  NLM     Status:  Publisher    
Islet transplantation is a promising therapy for T1DM. Key factors influencing islet yield have been identified with conflicting results. In this study, we analyzed 276 isolations to identify variables for islet yield, and additionally, islet size and size distribution. Pearson correlation analyses demonstrated that BMI had a positive correlation with pancreas size, actual islet count (AIC), and islet equivalent (IEq)/g (all p ≤ 0.009), while CIT had a negative correlation with AIC and IEq/g (all p ≤ 0.003). In mixed linear regression, BMI also had a positive correlation with islet size but only for shorter digestion times ( ≤15 min); there was no association between BMI and islet size for longer digestion times ( > 15 min). CIT was not associated with islet size. Donor age, sex, and preservation solutions were shown to have no correlation with islet yields or size distribution. Pancreas size had positive correlation withAIC and negative association with IEQ/g; it also had positive association with islet size but only for females, not males. Overdigestion was positively associated with islet counts, however there was also a greater proportion of smaller islets when digestion rate >74% (p =0.005). Of the three collagenases analyzed, Sigma V had the lowest digestion rate (mean=65%), approximately 5 or 10% lower than Roche Liberase HI (p = 0.04) and Serva NB1 (p = 0.0003), respectively; however Sigma V group showed better islet size preservation. Yet, the enzymes resulted in similar IEq/g digested tissue. 70.2% of the isolated islets were smaller than 150 μm and contributed only 20.4% to total IEq, while 7.4% of islets were larger than 250 μm, but contributed 42.4% to total IEq. In summary, BMI, pancreas size, and CIT are useful variables for predicting islet yield, but selection of enzyme and balancing digestion time and rate are also important.
Y Wang; K K Daneilson; A Ropski; T Harvat; B Barbar; D Paushter; M Qi; J Oberholzer
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-28
Journal Detail:
Title:  Cell transplantation     Volume:  -     ISSN:  1555-3892     ISO Abbreviation:  Cell Transplant     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-31     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9208854     Medline TA:  Cell Transplant     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Genomic Heterogeneity in Acute Leukemia.
Next Document:  Maintenance of "stem cell" features of cartilage cell sub-populations during in vitro propagation.