Effects of Ketamine on Pulmonary Inflammatory Responses and Survival in Rats Exposed to Polymicrobial Sepsis
Bibliographic record
Abstract
PURPOSE: Ketamine is reported to suppress production of proinflammatory cytokines and activity of nuclear factor-kappa B (NF-kappaB) after lipopolysaccharide (LPS) stimulation. Our study was designed to investigate the effects of ketamine on pulmonary inflammatory responses and survival in a clinically relevant model of polymicrobial sepsis, induced by cecal ligation and puncture (CLP). METHODS: After the induction of sepsis or sham-operation, animals were treated with ketamine (0.5, 5 or 10 mg/kg) or saline (10 ml/kg) at 3h after operation. At 6 h post-operation, the levels of tumor necrosis factor alpha (TNF-alpha) and interleukin (IL)-6, activity of NF-kappaB, expression of Toll-like receptor 2 (TLR2) and Toll-like receptor 4 (TLR4) of the lungs were measured. And the mortality was recorded for 7 days. RESULTS: TNF-alpha and IL-6 production, NF-kappaB activity, TLR2 and TLR4 expression in rat lungs were increased after CLP. Ketamine at the doses of 5 mg/kg and 10 mg/kg suppressed CLP-induced elevation of TNF-alpha and IL-6 production, NF-kappaB activity and TLR2 expression. Ketamine 0.5, 5 and 10 mg/kg inhibited TLR4 expression in sepsis. Ketamine 5mg/kg and 10 mg/kg after CLP improved the survival of rats. CONCLUSIONS: Ketamine at sub-anesthetic doses could suppress the production of inflammatory cytokines such as TNF-alpha and IL-6, attenuate NF-kappaB activity, and inhibit TLR2 and TLR4 expression in polymicrobial sepsis. These anti-inflammatory effects of ketamine may correlate with improved survival in sepsis.
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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 | 0.004 | 0.001 |
| 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 | 0.000 |
| 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".