Effect of milk fermented with a<i>Lactobacillus helveticus</i>R389(+) proteolytic strain on the immune system and on the growth of 4T1 breast cancer cells in mice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Previous studies on a murine model have demonstrated that the administration of Lactobacillus helveticus and Lactobacillus casei inhibits the development of fibrosarcoma and colon carcinoma, respectively. The aim of this work was to study the beneficial effects of the consumption of milk fermented by L. helveticus on a murine model for mammary carcinoma. Female BALB/c mice were challenged by a single subcutaneous injection of tumoral cells (American Type Culture Collection 4T1) in the left mammary gland. Prior to tumour injection, mice were fed for two, five or seven consecutive days with fermented milk. The following factors were monitored for 2 months: rate of tumour development, histological studies, apoptosis, phagocytic index, peritoneal macrophages, determination of beta-glucuronidase enzyme in peritoneal macrophages, determination of gamma-interferon (INFgamma) and tumour necrosis factor-alpha (TNF-alpha) in blood serum, determination of CD4+, CD8+, interleukin-6 (IL-6), IL-10, TNF-alpha and INFgamma by immunoperoxidase, and measurement of beta-glucuronidase activity in intestinal fluid. The administration of L. helveticus delayed the development of the tumour in all cases, a 2- or 7-day feeding period being most effective. This work demonstrates that milk fermented with L. helveticus decreases the growth rate of mammary tumours. The effect was mediated by increased apoptosis and decreased production of pro-inflammatory cytokines, in particular IL-6, implicated in oestrogen synthesis.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it