An Evaluation of Endogenous Pancreatic Enzyme Levels after Human Islet Isolation
Bibliographic record
Abstract
INTRODUCTION: Recent evidence has suggested that inconsistencies in human islet yield and viability after collagenase digestion is attributed to the activation of endogenous enzymes of the cadaveric donor pancreas. A study of the enzyme kinetics of serine proteases throughout human islet isolations showed a significant increase in activity levels throughout the digestion period. Following the digestion, it is important to further inhibit these enzymes by the addition of an inhibitor to the dilution media. AIM: To report the levels of endogenous pancreatic enzymes remaining after human islet isolation and the effects of three potential enzyme inhibitors on the proteases. METHODOLOGY: Human albumin, fetal calf serum, and the protease inhibitor aprotinin were incubated with the trypsin, chymotrypsin, elastase, and collagenase and were assayed for activity. RESULTS: Results at the final stage indicated that chymotrypsin retained 21.0 +/- 7.5% (mean +/- SE; n = 20) of the activity observed at the conclusion of the enzymatic digestion phase of the isolation process, whereas trypsin, elastase, and collagenase retained 3.0 +/- 1.5%, 2.1 +/- 0.6%, and 3.9 +/- 0.9%, respectively. Fetal calf serum and aprotinin showed strong inhibitory effects against bovine pancreatic trypsin; however, they showed a weak inhibitory effect against elastase. Supplementation with aprotinin failed to inhibit human chymotrypsin and elastase. Human albumin showed minimal inhibition and was shown to serve only as a competitive inhibitor. No inhibition to collagenase was observed with human albumin, fetal calf serum, or aprotinin. CONCLUSIONS: This study clearly demonstrates that low amounts of endogenous pancreatic enzymes remain active throughout the human islet isolation process and that the added inhibitors at the end of the isolation process are not fully effective at inhibiting the enzymes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.003 | 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 teacher head, 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".