T-2 toxin and its metabolite HT-2 toxin combined with insulin-like growth factor-I modify progesterone secretion by porcine ovarian granulosa cells
Bibliographic record
Abstract
The aim of this study was to examine the effect of A-trichothecenes T-2 and HT-2 toxins combined with insulin-like growth factor I (IGF-I) on the release of steroid hormone progesterone (P4) by porcine ovarian granulosa cells (GCs). The cells were incubated without (control) or with treatments of A-trichothecenes T-2 (100 and 1000 ng/mL)/ HT-2 (100 and 1000 ng/mL) combined with IGF-I (1, 10 and 100 ng/mL) for 24 h. Progesterone secretion was determined by RIA. The release of P4 by GCs after addition of T-2 toxin (at 100 ng/mL) combined with IGF-I (at 10 but not at 1 and 100 ng/mL) and HT-2 toxin (at 100 ng/mL) combined with IGF-I (at all doses) was significantly (P < 0.05) inhibited. On the other hand the release of P4 after addition of T-2/ HT-2 toxin (at 1000 ng/mL) combined with IGF-I (at all doses) was significantly (P < 0.05) stimulated. Alone IGF-I addition (at 10, 100 but not at 1 ng/mL) significantly (P < 0.05) stimulated P4 release by GCs. The results of our in vitro study indicate the T-2 and HT-2 toxins combined with IGF-I could modify progesterone secretion by porcine ovarian granulosa cells and potentially regulate process of steroidogenesis in the ovaries. Currently, occurrence of mycotoxins in food and feed is a worldwide problem and therefore study of these toxins as well as their interaction with different substances such as growth factors could be beneficial for better understanding of mechanism of their toxic effects in organism.
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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 | 0.001 | 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 | 0.001 |
| 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".