Effects of the CRF1 receptor antagonist SSR125543 on energy balance and food deprivation-induced neuronal activation in obese Zucker rats
Bibliographic record
Abstract
The corticotropin-releasing factor (CRF) system is involved in numerous physiological and behavioral actions, including the regulation of energy balance. We examined the effects of the CRF(1) receptor antagonist, SSR125543, on energy balance and food deprivation-induced neuronal activation in obese rats. Lean (Fa/?) and obese (fa/fa) Zucker rats were treated orally with SSR125543 at a daily dose of 30 mg/kg for 21 days. Rats were killed either fed ad libitum or food deprived for 6 h in order to induce a mild stress response in obese rats. SSR125543 reduced plasma corticosterone levels in lean rats, prevented corticosterone response to fasting in obese rats, and increased CRF mRNA levels in the paraventricular hypothalamic nucleus (PVN) of both lean and obese rats, further confirming that the antagonist partially blocked CRF(1) receptors. SSR125543 increased protein gain in obese rats. Whole carcass analyses showed reduced energy and fat gains in lean rats. Consistent with reduced fat gain, circulating triglyceride and leptin levels were reduced in SSR125543-treated lean rats. In obese rats, circulating glucose levels and the homeostasis model assessment of insulin resistance index of insulin resistance were reduced by SSR125543 treatment. CRF(1) receptor blockade increased uncoupling protein-1 mRNA levels in interscapular brown adipose tissue of obese rats. The antagonist partly blocked the fasting-induced changes in c-fos mRNA levels in the PVN and arcuate nucleus of obese rats. Overall, these results suggest that although SSR125543 had relatively mild effects on energy balance, CRF(1) receptor blockade attenuated several metabolic effects of short-term fasting and improved plasma variables related to the metabolic syndrome and diabetes.
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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 | 0.001 |
| 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".