Comparison of Modified Celsior Solution and M-Kyoto Solution for Pancreas Preservation in Human Islet Isolation
Bibliographic record
Abstract
Since the successful demonstration of the Edmonton protocol, islet transplantation has advanced significantly on several fronts, including improved pancreas preservation systems. In this study, we evaluated two different types of organ preservation solutions for human islet isolation. Modified Celsior (Celsior solution with hydroxyethyl starch and nafamostat mesilate; HNC) solution and modified Kyoto (MK) solution were compared for pancreas preservation prior to islet isolation. Islet yield after purification was significantly higher in the MK group than in the HNC group (MK = 6186 ± 985 IE/g; HNC = 3091 ± 344 IE/g). The HNC group had a longer phase I period (digestion time), a higher volume of undigested tissue, and a higher percentage of embedded islets, suggesting that the solution may inhibit collagenase. However, there was no significant difference in ATP content in the pancreata or in the attainability of posttransplant normoglycemia in diabetic nude mice between the two groups, suggesting that the quality of islets was similar among the two groups. In conclusion, MK solution is better for pancreas preservation before islet isolation than HNC solution due to the higher percentage of islets that can be isolated from the donor pancreas. MK solution should be the solution of choice among the commercially available solutions for pancreatic islet isolation leading to transplantation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".