Rapid effects of pesticides on human granulosa-lutein cells
Bibliographic record
Abstract
Following our previous demonstration that p,p'-DDE (dichlorodiphenylchloroethylene), at environmentally relevant concentrations, can rapidly increase intracellular calcium [Ca2+]i concentrations in human granulosa-lutein cells, we examined whether other pesticides, such as Kepone, o,p-DDE and methoxychlor, have similar effects. Cultured human granulosa-lutein cells were loaded with Fura-2 AM, and changes in [Ca2+]i concentrations within small areas of single cells were studied with a dynamic digital Ca2+ imaging system. Kepone, at concentrations of 0.2-2 nmol/ml, consistently increased [Ca2+]i concentrations 2-6 times higher than baseline values within minutes of exposure. Methoxychlor at concentrations of 2.8-280 nmol/ml failed to alter [Ca2+]i levels consistently in cells from 10 patients. However, at 0.28 and 1.4 nmol/ml, increases in [Ca2+]i concentrations could be elicited by methoxychlor. The isomer o,p-DDE at 3 nmol/ml increased [Ca2+]i in granulosa cells of 11/20 patients. Pertussis toxin treatment inhibited the [Ca2+]i increases induced by estradiol, p,p'-DDE, o,p-DDE and methoxychlor, but not by Kepone or progesterone, indicating that Kepone and progesterone may act through an insensitive G protein-coupled receptor. The [Ca2+]i increases induced by Kepone also occurred in Ca2+-free medium, suggesting that [Ca2+]i mobilization occurred from the smooth endoplasmic reticulum. Thapsigargin and cyclopiazonic acid, two inhibitors of the endoplasmic reticulum Ca2+ pump, also stimulated [Ca2+]i increases but did not inhibit the Ca2+ response to all the pesticides. These results demonstrate that pesticides can have a rapid effect on human granulosa-lutein cells, and a nongenomic mechanism of action is suggested.
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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".