Leptin induces cyclooxygenase‐2 via an interaction with interleukin‐1β in the rat brain
Bibliographic record
Abstract
In addition to its central effects on appetite regulation, leptin has been implicated in immune function and inflammation. Previous data suggested that leptin acts as an inflammatory signal within the brain, as exogenously administered leptin induced fever, a typical brain-regulated inflammatory response. The present study aimed to delineate the inflammatory actions and cellular targets of leptin in the brain by examining its effects on the expression of interleukin (IL)-1beta and cyclooxygenase (COX)-2, two important inflammatory components of the fever response. Intracerebroventricular injection of leptin (5 microg/rat) induced IL-1beta and COX-2 mRNA and protein in the hypothalamus between 1 and 3 h after treatment as determined by reverse transcription-polymerase chain reaction and immunohistochemistry. Coinjection of IL-1 receptor antagonist (100 microg/rat, intracerebroventricular) attenuated leptin-induced COX-2, whereas IL-1 receptor antagonist had no effect on endogenous IL-1beta levels, suggesting that leptin induces COX-2 via, at least partly, IL-1beta action. IL-1beta protein expression was induced in macrophages in the meningis and perivascular space after leptin treatment, whereas COX-2 induction was observed in endothelial cells, indicating the roles for these non-neuronal cells in mediating inflammatory actions of leptin. In addition, neutralization of endogenous circulating leptin with anti-leptin antiserum attenuated intraperitoneal lipopolysaccharide (100 microg/kg)-induced brain IL-1beta and COX-2 upregulation, suggesting that leptin indeed acts as an inflammatory signal to the brain during systemic inflammation. These findings are in contrast to the effects of leptin on appetite regulation where it is believed to act primarily on neurons, thus presenting a distinct anatomical basis for the inflammatory and appetite regulatory actions of leptin in the brain.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".