The Atkins style high fat-low carbohydrate diet inhibits proliferation of prostate cancer in a xenograft model
Bibliographic record
Abstract
5177 Introduction: The mechanism by which high fat diets contribute to cancer progression is likely related to increased levels of insulin and/or related growth factors. High fat, low carbohydrate diets, including Atkins®, are based on maintaining low levels of insulin. Our hypothesis is that a hypoglycemic, low insulin diet would protect against the proliferative effect of high dietary fat. We have studied this experimentally in a prostate cancer xenograft model. Materials and Methods: Athymic male Swiss nu/nu mice, aged 6-8 weeks were inoculated in the hind-limb with (1 x 106) human prostate cancer cells (LNCaP) / 0.2 ml of ice-cold Matrigel. Animals were divided into 2 groups of 20 each. At the end of 2 weeks animals with signs of tumor development were separated and placed either an Atkins style low carbohydrate diet (45% fat, 45% protein and 10% carbohydrate diet) or on a control diet high fat diet (45% fat, 15% protein and 40% carbohydrate diet). Body weight and tumor measurements were carried out every week. Plasma Insulin and PSA measurements were performed biweekly. Plasma insulin was measured using the Medicorp 125I RIA test kit. All animals were on the diet until the end of the treatment period. Results: The diets were well tolerated with no evidence of diet-related toxicity. There was a 10% decrease in body weight of the animals on the Atkins type diet. Animals on the Atkins type diet demonstrated a 18% decrease in tumor volume as compared to the controls. Wet tumors weighed a maximum of 1.2 g in the Atkins type diet compared to 1.6 g in the controls. Plasma insulin levels were decreased three fold in the animals on the Atkins style diet as compared to the controls (350 vs 1060 pmol/l). Conclusion: In this prostate cancer xenograft model, an Atkins type diet (high fat - low carbohydrate) resulted in an 18% reduction in the rate of cancer growth. An Atkins style diet may protect against the proliferative effect on cancer cells on a high fat diet by favorably influencing the levels of insulin and related growth factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.002 | 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".