Increases in Ki-ras and Ornithine Decarboxylase Gene Expression in Rat Pancreas after Caerulein-Induced Pancreatitis
Bibliographic record
Abstract
Caerulein-induced pancreatitis (CIP) in rats is characterized by oedema and cell necrosis followed by spontaneous regeneration. The ras protein as well as ornithine decarboxylase (ODC) play a central role in the transmission of signals induced by growth factors. Therefore, we analyzed these gene products during the course of CIP and during the regeneration of the gland. Growth and biochemical parameters (pancreatic weight, total DNA, RNA and proteins) were determined along with ODC activity and quantitative reverse-transcriptase polymerase chain reaction measurements of mRNA levels. During CIP, the significant increases in pancreatic weight were the result of oedema. During that period, maximal increases in ODC activity were observed at 3 h, in ODC mRNA expression at 2, 3, and 4 h, and in Ki-ras mRNA expression at 1 h. During the 3-day resting period within which no treatment was given, pancreatic weight exhibited its maximal reduction after 2 days in the CIP group. In that same group, the ODC activity reached its maximal level above control after 3 days and ODC and Ki-ras mRNA expression after 1 and 2 days. During the regeneration period of 5 days, the pancreata of the untreated pancreatitis rats did not totally recover, whereas those of the animals receiving the small dose of caerulein (1 microgram) showed full recovery and even a significant increase above control after 5 days. During that period, maximal increases in ODC activity and Ki-ras mRNA expression occurred after 1 day of caerulein treatment; ODC mRNA expression was also significantly increased after 3 and 5 days in the pancreatitis animals with no effect of caerulein treatment. The positive effect of caerulein on Ki-ras mRNA suggests that the cholecystokinin analogue can induce the expression of essential growth-promoting genes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".