Pregnancy influences the plasma cytokine response to intraperitoneal administration of bacterial endotoxin in rats
Bibliographic record
Abstract
Rats have an attenuated febrile response to intraperitoneal (i.p.) administration of exogenous pyrogen (e.g. bacterial endotoxin) near the term of pregnancy. To investigate possible mechanisms of this unique thermoregulatory response, the present experiments were carried out on 18 non-pregnant and 16 near-term pregnant Sprague-Dawley rats to test the hypothesis that pregnancy alters the balance of pyrogenic cytokines and antipyretic and/or cryogenic (antipyretic/cryogenic) cytokines in response to exogenous pyrogen. To test our hypothesis, we measured plasma levels of interleukin (IL)-1beta, IL-6, interleukin-1 receptor antagonist (IL-1ra) and tumour necrosis factor alpha(TNFalpha) at 2 and 4 h following i.p. administration of 160 microg kg(-1) E. coli lipopolysaccharide (LPS) (i.e. EC100 dose, or the smallest dose that elicits a maximal febrile response in non-pregnant rats) in non-pregnant as well as pregnant rats at day 20 of gestation (term approximately 21 days). In non-pregnant rats, E. coli LPS elicited statistically significant increases in plasma concentrations of IL-1beta, IL-6, IL-1ra and TNFalpha as compared to that observed following administration of vehicle. However in pregnant rats, E. coli LPS elicited statistically significant increases in antipyretic/cryogenic cytokines (IL-1ra and TNFalpha) but not in pyrogenic cytokines (IL-1beta and IL-6). Thus, a differential pyrogenic and antipyretic/cryogenic plasma cytokine response may mediate in part the attenuated febrile response to exogenous pyrogen observed in rats near the term of pregnancy.
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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".