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Transplantation. 2010 Oct 27;90(8):836-42. doi: 10.1097/TP.0b013e3181f1db5d.

Quantitative assessment of β-cell apoptosis and cell composition of isolated, undisrupted human islets by laser scanning cytometry.

Author information

  • 1Department of Diabetes and Metabolic Diseases Research, Beckman Research Institute of the City of Hope, Duarte, CA, USA. itodorov@coh.org

Abstract

BACKGROUND:

Assays for assessing human islet cell quality, which provide results before transplantation, would be beneficial to improve the outcomes for islet transplantation therapy. Parameters such as percent β-cell apoptosis and cell composition are found to vary markedly between different islet preparations and may serve as markers of islet quality. We have developed fluorescence-based assays using laser scanning cytometry for assessing β-cell apoptosis and islet cell composition on serial sections of intact isolated islets.

METHODS:

Isolated human islets were fixed in formalin and embedded in paraffin. Serial sections were immunostained for the pancreatic hormones and acinar and ductal cell markers. DNA fragmentation was used to label apoptotic cells. Stained cells were quantified using an iCys laser scanning cytometer.

RESULTS:

Islet preparations from 102 human pancreatic islet isolations were analyzed. For the whole set of islet preparations, we found a mean islet cell composition of 54.5%±1.2% insulin-positive, 33.9%±1.2% glucagon, 12.1%±0.7% somatostatin, and 1.5%±0.2% pancreatic polypeptide-positive cells. The apoptotic β cells were 2.85%±0.4% with a range of 0.27% to 18.3%. The percentage of apoptotic β cells correlated well (P<0.0001, n=59) with results obtained in vivo by transplantation of the corresponding islets in diabetic NODscid mice.

CONCLUSIONS:

The analysis of whole, nondissociated islets for cell composition and β-cell apoptosis using laser scanning cytometry gives reliable and reproducible results and could be performed both before islet transplantation and on preserved cell blocks at any time in future. Thus, they can be a powerful tool for islet quality assessment.

PMID:
20697327
[PubMed - indexed for MEDLINE]
PMCID:
PMC2959131
Free PMC Article
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