Alleviating Intestinal Ischemia-Reperfusion Injury in an In Vivo Large Animal Model
Bibliographic record
Abstract
INTRODUCTION: This study investigated the role of a novel nutrient-rich preservation solution in alleviating intestinal ischemia-reperfusion (IR) injury in a large animal model. MATERIALS AND METHODS: Porcine intestines were treated in vivo with the following intraluminal flush solutions: group 1, none; group 2, University of Wisconsin solution; group 3, an amino acid-based solution, previously shown to be effective in reducing IR injury in rodent models. Intestinal ischemia was induced in vivo for 60 min, followed by 180 min reperfusion. Key metabolic aspects were assessed in relation to two fundamental kinase mechanisms that govern cell fate, AMP kinase, and Jun kinase. RESULTS: After 180 min reperfusion, groups 1 and 2 exhibited clefting, denudation, and mucosal hemorrhage, whereas injury was markedly reduced in group 3 (median grades 4.5 and 5 vs. 0; P<0.05). In contrast to groups 1 and 2, group 3 tissues exhibited a full recovery of adenylates (ATP, total adenylates) and an effective control of oxidative stress throughout reperfusion. Neutrophil-mediated inflammation was abrogated in group 3. An up-regulation of two key enzymes (glutaminase and alanine aminotransferase) provided a mechanism for the superior recovery of energetics and the preservation of mucosal integrity in group 3. A strong activation of AMP-activated protein kinase resulting in the up-regulation of a primary proapoptotic kinase mechanism, Jun kinase, was evident in groups 1 and 2. DISCUSSION: A strategy of intraluminal administration of a nutrient-rich solution represents a potential therapy for alleviating intestinal IR injury; these findings suggest a more effective method for the ischemic storage of intestine.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".