Effect of the two-layer (University of Wisconsin solution???perfluorochemical plus O2) method of pancreas preservation on human islet isolation, as assessed by the Edmonton Isolation Protocol1
Bibliographic record
Abstract
BACKGROUND: Current techniques for isolating islets require that pancreata stored with University of Wisconsin solution (UW) are processed within 12 hours of cold storage. In this study, we hypothesized that the two-layer method (TLM) could extend the acceptable preservation period of pancreata before islet isolation and increase islet yields. METHODS: In the first experimental set, eight pancreata were maintained for an average of 8.3+/-1.2 hours in UW and transferred into the TLM for an additional 14.3+/-1.1 hours for a total cold ischemic period of 22.6+/-1.6 hours (prolonged TLM). Four pancreata were maintained as a control group in UW alone for a total of 21.3+/-2.0 hours. In the second experimental set, six pancreata were maintained for an average of 6.4+/-1.8 hours in UW followed by 4.8+/-0.8 hours with the TLM for a total preservation time of 11.3+/-2.5 hours (short TLM). The control organs for the short TLM group were stored for an average of 9.5+/-1.3 hours in UW alone. Islets were isolated and evaluated according to the Edmonton protocol. RESULTS: Between each group of the two experimental sets, there was no significant difference in donor-related factors (i.e. gender, age, body mass index [BMI], etc.). The TLM as compared with UW preservation resulted in a significant increase in islet yields postpurification for both short (3,353+/-394 islet equivalents [IE] vs. 2,027+/-415 IE; mean+/-SEM) and prolonged (2,404+/-503 IE vs. 514+/-180 IE) periods of storage. Furthermore, islet yields after prolonged storage with the TLM were not significantly different from organs maintained for only a short period with UW (P=0.17). The quality of islets as assessed by size, postculture viability, survival rates, insulin content, and insulin secretion were similar for each of the four groups. CONCLUSION: In comparison with UW organ preservation, exposure of pancreata to the TLM result in greater islet yields and extended preservation times.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".