Sex-Specific Effects of Relaxin-3 on Food Intake and Brain Expression of Corticotropin-Releasing Factor in Rats
Bibliographic record
Abstract
This study compared the effects of relaxin-3 (RLN3) on food intake, plasma corticosterone, and the expression of corticotropin-releasing factor (CRF) in male and female rats. RLN3 was injected into the lateral ventricle at 25, 200, and 800 pmol concentrations. RLN3 at 25 pmol increased food intake (grams) at 30 and 60 minutes after injection in female but not male rats. Female rats also showed higher increase in relative to body weight (BW) food intake (mg/g BW) for all RLN3 concentrations at 30 minutes and for 800 pmol of RLN3 at 60 minutes. Moreover, RLN3 at 800 pmol significantly increased 24-hour BW gain in female but not male rats. At 60 minutes after administration, 800 pmol of RLN3 produced a significant increase in plasma corticosterone and in the expression of CRF and c-fos mRNAs in the parvocellular paraventricular hypothalamic nucleus (PVN) in male but not female rats. The levels of c-fos mRNA in the magnocellular PVN were increased by RLN3 but did not differ between the sexes. Conversely, expression of CRF mRNA in the medial preoptic area was increased in female rats but was not sensitive to 800 pmol of RLN3. In the bed nucleus of the stria terminalis, 800 pmol of RLN3 significantly increased CRF mRNA expression in female but not male rats. Therefore, female rats showed more sensitivity and stronger food intake increase in response to RLN3. The differential effects of RLN3 on CRF expression in the PVN and bed nucleus of the stria terminalis may contribute to the sex-specific difference in the behavioral response.
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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) | 0.001 | 0.001 |
| 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) | 0.002 | 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".