Safflower (<i>Catharmus tinctorius</i> L.) oil supplementation in overnourished rats during early neonatal development: effects on heart and liver function in the adult
Bibliographic record
Abstract
Carthamus tinctorius L. (common name: safflower) is an herb whose extracted oil (safflower oil) has been employed in both alternative and conventional medicine in the treatment of disease. Overnutrition during early postnatal life can increase the lifetime risk of obesity and metabolic syndrome. Here we investigate the effect of safflower oil supplementation given during a critical early developmental stage on the eventual occurrence of metabolic disease in overnourished rats. Groups of overnourished or adequately nourished rats were randomly assigned into 2 additional groups for supplementation with either safflower oil (SF) or vehicle for 7 to 30 days. Murinometric data and weights were examined. Serum was collected for measurement of glucose, cholesterol, high-density lipoprotein cholesterol, and triglycerides. Heart and liver oxidative status were also measured. Overnutrition for 7-30 days induced a significant increase in body weight and in values for abdominal circumference, thoracic circumference, body length, and body mass index. SF supplementation did not attenuate the effect of overnutrition on any of these parameters. In addition, overnutrition increased levels of glucose, triglycerides, and very low-density lipid compared with normal controls, but SF supplementation had no effect on these parameters. Measures of oxidative status in heart or liver were not influenced by overnutrition. However, oxidative measures were altered by SF supplementation in both of these organs. The present study reveals that nutritional manipulation during early development induces detrimental effects on metabolism in the adult that are not ameliorated by supplemental SF.
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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 | 0.000 |
| 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".