Effect of<i>Escherichia coli</i>STb toxin on NIH-3T3 cells
Bibliographic record
Abstract
Previous studies have shown that STb causes microscopic histological alterations in animal intestinal models. Disrupted intestinal epithelium at the villous tips could be the result of an altered physiological cell state induced by the toxin. As a cellular model we used NIH-3T3 cells, a mouse fibroblast cell line, previously shown to be capable of internalizing the STb toxin. Using various probes specific for the cellular physiological state or cell organelles, we investigated STb activity using flow cytometry and confocal microscopy. In NIH-3T3 cells, labelled with propidium iodide and carboxyfluorescein diacetate, STb permeabilized the plasma membrane but the cellular esterases remained active. Confocal microscopy showed that fluorescein isothiocyanate (FITC)-labelled STb toxin molecules were internalized and were found scattered in the cytoplasm. Moreover, important clusters of FITC-STb were observed inside the cells after 6 h and these clusters matched with mitochondria labelling. After cell treatment with STb, using a fluorescent mitochondrial potential sensor, we observed mitochondria hyperpolarization, as an early event of intoxication. This phenomenon increased linearly with the dose of STb. The cell population treated with STb showed histological alterations such as membrane budding, granular cytoplasm and enlarged nucleus. Altogether, these results provide new information, at the cellular level, on the effect of the STb toxin.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".