Etiology of disrupted cholesterol metabolism in the liver of young rats submitted to obesogenic diets
Bibliographic record
Abstract
The purpose of the study was to test the hypothesis that a short period (2 weeks) of a high fat (HFD) and a western (WD) diet leading to an increase in liver fat accumulation will disrupt key markers of liver cholesterol metabolism mainly targeting the LDL‐receptor (LDL‐R) pathway. Rats were submitted to either a standard (SD), HFD (60%) or a WD (40% fat + 35% sucrose) diet for 2 and 6 weeks. Body weight gain and body fat values were higher (p < 0.01) in rats fed the HFD and WD for 6 weeks although food intakes in kcal/d were not different for all groups throughout the experimental period. Liver fat accumulation was significantly (P < 0.01) higher in HFD and WD rats as compared to the SD diet for both feeding durations. On the other hand, liver fat accumulation was higher in WD rats (P < 0.05) than HFD animals after two weeks of treatment. In addition, WD animals displayed the highest plasma cholesterol levels. After 2 and 6 weeks of treatment, hepatic gene expression of LDL‐R, Pcsk9 and SREBP‐2 was lower (p < 0.01) in WD animals than in HFD and SD rats. In addition, mRNA levels of Lrp1 and Acat2 were lower (p < 0.01) in WD rats as compared to those fed with SD. Gene expression of HMGCoA‐r, the main enzyme involved in the regulation of cholesterol synthesis, was lower in HFD (2 weeks) and even more so in rats fed the WD diet (2 and 6 weeks). The WD was associated with a higher (p < 0.01) gene expression of markers involved in the mediation of de novo lipogenesis (ACC and ChREBP). It is concluded that a short‐term WD promptly increased fat accumulation while disrupting cholesterol metabolism in the liver. The present results provide new insights on the mechanisms through which westernized diets rapidly promote increases in plasma cholesterol levels. Support or Funding Information NSERC, FRQS, CFI
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".