Corticosterone Changes in Response to Stressors, Acute and Protracted Actions of Tumor Necrosis Factor-α, and Lipopolysaccharide Treatments in Mice Lacking the Tumor Necrosis Factor-α p55 Receptor Gene
Bibliographic record
Abstract
UNLABELLED: Systemic administration of the proinflammatory cytokine, tumor necrosis factor-alpha (TNF-alpha), has acute as well as sensitizing effects on behavioral and neurochemical functioning. OBJECTIVES: As many of the central consequences of TNF-alpha are mediated by its p55 receptor, the present investigation determined the role of this receptor on the plasma corticosterone increase associated with the acute TNF-alpha treatment and the sensitized response evident upon reexposure to the cytokine. Moreover, the role of p55 in the provocation of corticosterone release engendered by lipopolysaccharide (LPS) and psychogenic stressors (noise or restraint) was also determined. METHODS: Plasma corticosterone levels were determined in wild-type and p55-deficient mice that received systemic treatments with TNF-alpha and LPS, as well as exposure to auditory and restraint stressors. RESULTS: Mice deficient for p55 displayed a greatly attenuated plasma corticosterone response to TNF-alpha irrespective of whether they had been previously exposed to the cytokine. In contrast, p55 deletion did not affect corticosterone responses elicited by LPS and by stressors. CONCLUSIONS: It appears that although p55 modulates the corticosterone-inducing effects of TNF-alpha, the receptor does not play a critical role in the activation of the HPA axis by 'traditional' psychogenic stressors (noise, restraint) or systemic endotoxin challenge.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".