Non‐invasive measure of corticosterone in food restricted rats
Bibliographic record
Abstract
Fecal corticosterone (CORT) metabolites (FCM) have been measured in laboratory animals and wildlife populations because they avoid handling‐induced stress response. Here we test whether FCM provide a measure of acute and chronic stress induced by an adrenocorticotropic hormone (ACTH) challenge and food restriction (FR), respectively in 4 month old female Wistar rats. Blood and fecal samples were collected before and after 7 days of FR to 88% baseline body mass (FR n = 10) or ad libitum feeding (CON n = 8) and after ACTH challenge. Enzyme immunoassays showed greater FCM after FR compared with baseline (419.1 ± 250.5 vs. 294.6 ± 145.6 ng.g −1 ). Serum CORT increased from baseline in response to ACTH challenge in both FR (79.7 ± 45.5 ng.ml −1 vs. 610.6 ± 253.4 ng.ml −1 ) and CON (62.2 ± 46.2 ng.ml −1 vs. 227.2 ± 78.1 ng.ml −1 ), with a greater response in FR. There was no difference in FCM measured at 2 h intervals over the 24 h period post ACTH injection between groups and the increase in 24h‐average FCM post ACTH only reached significance for CON (384.1 ± 29.1 vs. 521.5 ± 26.3 ng.g −1 ) and not FR (419.1 ± 250.5 vs. 523.8 ± 405.2 ng.g −1 ). Thus FCM provide a measure of the response to a chronic stress, however this measure is less sensitive than serum CORT for describing the acute response. These data support the use of FCM for measurement of long‐term adaptive response to physiologic stressors in rats and demonstrate increased adrenal sensitivity in FR. Funded by Kinesiology & Physical Education
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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 | 0.000 | 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) | 0.001 | 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".