Dose-dependent effects of octreotide on plasma activities of IL-6 and lung tissue levels of malondialdehyde in sepsis
Bibliographic record
Abstract
Sepsis was induced in female Sprague–Dawley rats by cecal ligation and puncture (CLP) as previously described. Group 1 ( n = 10), sham operated animals; Group 2 ( n = 10), sepsis served as control; Group 3 ( n = 10) and Group 4 ( n = 10), respectively, OCT 50 μg/kg twice a day and OCT 100 μg/kg twice a day administered subcutaneously immediately after the induction of sepsis and at 12 hours. Rats were sacrificed 24 hours after the surgical procedure. Blood and lung tissue samples were taken 24 hours after sepsis induction. Plasma activities of IL-6 and lung tissue levels of MDA were measured. The results showed that the plasma levels of IL-6, an inflammatory indicator, and tissue levels of MDA, an oxidative indicator, are significantly increased during experimental model of sepsis ( P < 0.05). Increase in MDA levels and IL-6 activities after CLP-induced sepsis was significantly prevented by OCT (100 μg/kg, s.c.) administration ( P < 0.05). Octreotide seems to have a dose-dependent antioxidative and immunomodulator effect in CLP-induced sepsis in rats. Further trials are necessary to reveal the therapeutic effect of OCT in sepsis. On the other hand, further studies should be performed aiming to reveal the optimal OCT doses. As a drug with a wide margin of safety and less adverse reaction profile, OCT merits consideration as a choice of treatment in sepsis and septic shock.
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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 | 0.000 | 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 | 0.001 |
| 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".