Detrimental effect of excessive collagenase class II on human islet isolation outcome
Bibliographic record
Abstract
Commercially available purified collagenases, derived from Clostridium histolyticum, contain two different classes of collagenase: class I collagenase (CI) and class II collagenase (CII) at a predetermined ratio. In this study, using purified CI and CII in separate vials, we had a unique opportunity to investigate the effect of the proportion between two collagenase classes on clinical human islet isolation. Pancreas organs derived from deceased donors were prospectively assigned to one of three different enzyme protocols: group A--CII:CI = 1:1 vial; group B--1:2; group C--1.5:1. As a result, their total collagenase activities were 2116, 2230, and 3117 Wunsch units/pancreas in groups A, B, and C, respectively but thermolysin dosage was adjusted to 624-988 Units/g pancreas. The pancreas was not efficiently digested in group C in spite of a relatively longer digestion time and significantly higher Wunsch activity, resulting in the poorest islet isolation outcome among the three groups. Additional retrospective analysis revealed that this suboptimal outcome in group C was not because of the absolute excessive amount of collagenase activity but as a result of the relatively high proportion of CII (i.e., unbalanced CII/CI ratio). Our study suggests that an excessive CII is ineffective in releasing islets from human pancreas, and rather a balanced CII/CI ratio is of paramount importance.
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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 | 0.002 | 0.002 |
| 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".