Ameliorating Small Bowel Injury Using a Cavitary Two-Layer Preservation Method with Perfluorocarbon and a Nutrient-Rich Solution
Bibliographic record
Abstract
The aim of this study was to improve small bowel (SB) quality during cold storage by combining two proven preservation strategies involving perfluorocarbon (PFC) and a novel luminal amino acid-rich solution. Rodent SB was flushed vascularly with UW solution and flushed luminally as follows: Group 1 (control)--no luminal flush, stored in UW; Group 2--luminal UW solution, stored in PFC; Group 3--luminal amino-acid (AA) solution, stored in PFC; and Group 4--luminal AA solution, stored in AA solution. Energetics, histology and mucosal function/electrophysiology were assessed over 24 h at 4 degrees C. ATP was consistently greater in Groups 2-4 than in the Control Group. Groups 3 and 4 exhibited significantly greater ATP, ATP/ADP ratios and energy charge levels after 12-h storage than in the other Groups. Histologic injury was generally lower in the AA-treated tissues (Groups 3 and 4); after 24 h, only minor epithelial clefting (Park's median grade 2) was present in Group 4; and consistent transmural infarction (grade 8) was evident in Groups 1 and 2. Combined treatment with luminal amino acid solution and oxygenated storage solution (PFC or AA solution) significantly improves energetics and mucosal function. This strategy may have implications for successful SB preservation in the clinic.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".