DIETS THAT HAVE POTENTIAL TO STIMULATE THE HYPOTHALAMIC-PITUITARY-ADRENAL (HPA) AXIS IN SPRAGUE DAWLEY RATS
Bibliographic record
Abstract
The pituitary gland is the master gland which regulates the body hormones. From the corticotrophs of the anterior pituitary gland, adrenocorticotrophic hormone (ACTH) is secreted and influences corticosterone production in rodents via the hypothalamic–pituitary–adrenal axis (HPA axis). ACTH and corticosterone are frequently used as a hormonal marker of stress level. Disturbance in ACTH and corticosterone were observed in many diseases especially Addison’s disease, Cushing’s syndrome, and metabolic syndrome. Our objective is to observe which diet produces the most and least stress to the Sprague Dawley rat’s physiology. Method: Thirty-five Sprague Dawley rats were grouped into five groups (n=7) and were given five different types of diets (control, high-fat, high-protein, high-sugar, and high-starch) with tap water supplied as drinking water ad libitum. By the end of eight weeks, the rat’s blood was collected, and serum separated. The individual components of ACTH and corticosterone from the blood was extracted, purified, identified, and quantified using the High-Performance Liquid Chromatography (HPLC) with photodiode array (PDA) analysis method. Result: The analytical studies revealed a high -sugar diet registered highest ACTH blood level. It was also revealed that the high-fat and high-sugar diet group presented with the highest peak for corticosterone. Conclusion: Consumption of high-fat and high-sugar diet for eight weeks is suggested to induce physiologic and metabolic stress in Sprague Dawley rats as evidenced by the HPA activation.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".