THE SALIVARY TRIPEPTIDE ANALOGUE feG MAY AMELIORATE CAERULEIN-INDUCED ACUTE PANCREATITIS VIA DOWNREGULATION OF ICAM-1 EXPRESSION
Bibliographic record
Abstract
We have evidence that feG treatment ameliorates caerulein-induced acute pancreatitis (AP). One possible mechanism by which feG may achieve this is by modulating the expression of ICAM-1. ICAM-1 expression is upregulated in AP and is believed to be required for neutrophil infiltration into the pancreas. Aim: To determine whether administration of feG will alter AP-induced ICAM-1 expression. Methods: 8 groups of Swiss male mice were used (n = 4/group). AP was induced by 12 hourly i.p. injections of caerulein (50μg/kg). A single dose feG (100ug/kg) was administered at AP induction (prophylactic) or 2h post induction (therapeutic). Control groups (n = 4) received feG, a control peptide (100ug/kg) at 0 or 2h, saline injections or where untreated. Pancreata were harvested 13h post-AP induction, snap frozen in liquid nitrogen and subsequently RNA was extracted using a modification of the Trizol® method. The expression of ICAM-1 mRNA was quantified using real-time RT-PCR. 18S was used as a housekeeping gene for normalization of ICAM-1 expression. The Mann-Whitney test was used for statistical analysis. Results: ICAM-1 mRNA in the AP alone group was increased by 75% compared to the saline control group. Treatment of AP with prophylactic feG decreased the expression of ICAM-1 mRNA by 32% when compared to the AP alone group (P < 0.05). Therapeutic feG treatment did not alter the AP-induced increase in ICAM-1 mRNA expression. These data suggest that feG treatment at AP-induction, but not at 2 h, will decrease the expression of pancreatic ICAM-1 mRNA. Conclusion: feG treatment may ameliorate AP, at least in part, by reducing the AP-induced upregulation of pancreatic ICAM-1 mRNA. Salivary tripeptide analogues may offer a new therapeutic approach to AP treatment. (feG was kindly provided by Salpep Biotechnology Inc.).
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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 | 0.001 | 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".