The dietary emulsifier polysorbate-80 induces lipid accumulation and cell death in intestinal epithelial cells via ferroptosis
Bibliographic record
Abstract
Summary Chronic inflammatory and metabolic diseases are major global health issues increasingly linked to dietary factors. Consumption of dietary emulsifiers like polysorbate-80 (p80), common in ultra-processed foods and pharmaceuticals, has raised concerns about gut health. RNA sequencing on intestinal epithelial cells (IECs) exposed to p80 revealed increased expression of ferroptosis-associated genes and disruption of lipid metabolism pathways further demonstrated by mitochondrial dysfunction, including altered membrane potential and architecture, and accumulation of reactive oxygen species, iron, lipid peroxidation, and lipid droplet formation. Lipidomic profiling identified significant alterations in triglyceride species and elevated pro-ferroptotic polyunsaturated fatty acids. These data indicate that p80 disrupts lipid homeostasis in IECs and triggers ferroptotic cell death, mechanisms potentially contributing to the increased incidence of chronic conditions like inflammatory bowel disease and metabolic syndrome. The study highlights critical implications for public health, emphasizing the need for reassessment of emulsifier safety standards while balancing needs with consumer safety.
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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) | 0.002 | 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".