Selective Targeting of Senescent FHs74Int Cells by Human Breast Milk Free Fatty Acids
Bibliographic record
Abstract
Cellular senescence is a state of irreversible growth arrest characterized by a pro-inflammatory phenotype, playing dual roles in development. In the fetal intestine, the regulation of senescent cells is critical for maintaining tissue homeostasis. Human breast milk (HBM), known for its rich composition of bioactive molecules, may play a role in modulating senescence, although its effects on senescent intestinal cells remain unexplored. This study investigated whether HBM selectively eliminates senescent cells in the FHs74Int fetal intestinal epithelial cell line. Senescence was assessed via β-galactosidase activity and expression of p16 and p21. The model cell line was treated with HBM, infant formula, and milk fractions, and outcomes included cell recovery, senescence markers, apoptosis, and mitochondrial potential. Total free fatty acids (FFA) were quantified and correlated with senolytic activity. HBM reduced senescent cell recovery without affecting non-senescent cells, correlating with decreased β-galactosidase activity, reduced phospho-p38 and γH2AX expression, mitochondrial depolarization, and caspase activation. Only the lipid fraction retained senolytic activity, which was associated with elevated FFA levels. Incubation of HBM at 37 °C increased FFA content and conferred senolytic activity. These findings are consistent with the idea that HBM exerts selective senolytic effects via FFA, revealing a novel mechanism by which breast milk could contribute to intestinal homeostasis.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".