Effects of Rimonabant (SR141716) on Fasting-Induced Hypothalamic-Pituitary-Adrenal Axis and Neuronal Activation in Lean and Obese Zucker Rats
Bibliographic record
Abstract
The effects of the cannabinoid-1 receptor (CB(1)) antagonist rimonabant on energy metabolism and fasting-induced hypothalamic-pituitary-adrenal (HPA) axis and neuronal activation were investigated. Lean and obese Zucker rats were treated orally with a daily dose of 10 mg/kg rimonabant for 14 days. A comprehensive energy balance profile based on whole-carcass analyses further demonstrated the potential of CB(1) antagonists for decreasing energy gain through reducing food intake and potentially increasing brown adipose tissue thermogenesis. Rimonabant also reduced plasma glucose, insulin, and homeostasis model assessment of insulin resistance, which further confirms the ability of CB(1) antagonists to improve insulin sensitivity. To test the hypothesis that rimonabant attenuates the effect of fasting on HPA axis activation in the obese Zucker model, rats were either ad libitum-fed or food-deprived for 8 h. Contrary to expectation, rimonabant increased basal circulating corticosterone levels and enhanced the HPA axis response to food deprivation in obese rats. Rimonabant also exacerbated the neuronal activation seen in the arcuate nucleus (ARC) after short-term deprivation. In conclusion, the present study demonstrates that CB(1) blockade does not prevent the hypersensitivity to food deprivation occurring at the level of HPA axis and ARC activation in the obese Zucker rats. This, however, does not prevent CB(1) antagonism from exerting beneficial effects on energy and glucose metabolism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| 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".