The Effects of Beta-hydroxybutyrate and Glucose on Breast Cancer Cell Cycle Regulation and Metabolism
Bibliographic record
Abstract
Breast cancer is a leading cause of death among women in Canada. Obesity is a major modifiable risk factor for many cancers, including breast cancer. Thus, managing body fatness is considered a potentially important intervention. The ketogenic diet (KD) has been garnering more attention as a novel cancer therapy due to its efficacy in inducing ketosis, a metabolic state resulting in reduced blood glucose, insulin and increased ketone bodies. When isolating the above mentioned KD-dependent circulatory changes my results show minor adaptive cellular responses in MCF7 and MDA-MB-468 cells, with no effect on overall cell cycle status. Overall there appears to be a trend to shifting metabolism, however it is likely that the major benefit from KD is mediated by the weight loss and changes in adipokine secretion profile that accompany KD, rather than the alterations in blood insulin, glucose and ketones in the circulation.
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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 | 0.000 | 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) | 0.007 | 0.001 |
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".