RU38486 influences the core temperature response of near‐term pregnant rats to intraperitoneal administration of lipopolysaccharide
Bibliographic record
Abstract
Rats have an attenuated febrile response to exogenous pyrogen near the term of pregnancy at a time when blood levels of the endogenous glucocorticoid, corticosterone, are elevated. Given that glucocorticoids attenuate exogenous pyrogen‐induced fever in male rats, the present experiments were carried out to test the hypothesis that administration of RU 38486 ‐‐ a glucocorticoid type II receptor antagonist ‐‐ would restore the febrile response to E. coli LPS in pregnant rats on day 20 of gestation. Pregnant rats were randomly allocated to one of four experimental groups depending upon whether they received RU 38486 (20 mg/kg) or vehicle followed by E. coli LPS (160 μg/kg; EC 100 in nonpregnant rats) or vehicle. Basal core temperature was not altered by intragastric administration of RU 38486 or vehicle. Following intragastric administration of vehicle, intraperitoneal administration of E. coli LPS produced a significant hypothermia with latency, duration and magnitude of 1h, 1.5h and−1.3°C, respectively. Following intragastric administration of RU 38486, however, intraperitoneal administration of E. coli LPS elicited only a minimal decrease in core temperature which was not significantly different from control. Following intraperitoneal administration of E. coli LPS, core temperature increased significantly from control from 4.5h onward; the modest increase in core temperature was not influenced by the prior administration of RU 38486. Thus, our data provide evidence that endogenous glucocorticoids play a role in modulating the early core temperature response to a relatively large dose of exogenous pyrogen 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".