Effects of a Northern Contaminant Mixture, Diet, and Body Weight on Glucose and Cholesterol Metabolism and Lipoprotein Signaling in JCR Rat Liver
Bibliographic record
Abstract
Northern Canadian populations (specifically the Inuit) display higher prevalence of diabetes and cardiovascular diseases. It is believed that diet and lifestyle contribute to the development of these disease; however, recent epidemiological studies suggest that persistent organic pollutants and heavy metals may also contribute to the development of these diseases. In this study, we outline the effects of these chemicals and the consumption of high fat/sugar food on glucose and cholesterol metabolism and lipoprotein signaling in JCR rat liver. Using gene profiler arrays, we have identified four genes that are affected mainly by these contaminants and/or diet. Our results indicate that these mixtures alter the expression of genes in gluconeogenesis pathway (fructose 1,6-bisphosphatase and pyruvate carboxylase), a protein involved in cholesterol transport (apolipoprotein A1), and a transcription factor that is responsible for the expression of proteins in lipogenesis pathway (sterol regulatory element binding transcription factor 1).
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".