Soluble fiber beta-glucan from oats at higher concentrations promotes hydrogen peroxide-induced cytotoxicity in small intestine epithelial cells
Bibliographic record
Abstract
In order to determine whether b -glucan from oats can shield intestine epithelial cells from oxidative cell injury, rat small intestine epithelial cells (IEC-6) were cultured with or without medium viscosity oat b -glucan at concentrations of 0.1, 0.5, 2 and 4 mg/ml and treated with serial diluted H2O2. For the enzyme activity and protein expression assays, cells were cultured with 2 or 4mg/ml b -glucan and applied with 8uM H2O2. There is no difference in cell survival in response to the H2O2 treatment when cells were cultured with 0.1 or 0.5 mg/ml of b -glucan as compared with those cultured without b -glucan. However, when 2 or 4 mg/ml of b -glucan is applied to the cells, low concentrations of H2O2 (3.9 to 15.5 μM), which are not toxic to the cells growing without added b -glucan, become poisonous to the cells. Superoxide dismutase activity was increased by a combined application of H2O2 and b -glucan or b -glucan alone. The expression of TNF-a was decreased in cells co-cultured with either H2O2 or b -glucan. A combination of H2O2 and b -glucan restored the expression of this protein to the level in the non-treated control cells. The activity of caspase-3 was increased by H2O2 only when the higher concentration of b -glucan is present. In summary, low levels of b -glucan do not appear to protect small intestine epithelial cells against H2O2 induced oxidative injury. On the contrary, the presence of higher concentrations of this soluble fiber produces an oxidative-stress like challenge and promotes hydrogen peroxide-induced cytotoxicity to those cells.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".