Bisphenol A Disrupts Steroidogenesis in Human H295R Cells
Bibliographic record
Abstract
There is increasing concern over the risk of environmentally relevant doses of bisphenol A (BPA) on human endocrine systems. Effects of BPA on steroidogenesis and the related molecular mechanisms were investigated in H295R human adenocarcinoma cells. This immortal cell line is unique in expressing all the enzymes of the steroidogenic pathways. The effects of BPA on steroidogenesis, 17β-estradiol (E2) metabolism, and aromatase activity were examined in H295R cells exposed to BPA from 3.0 × 10(-1) to 3.0 × 10(3) ng/ml. Concentrations of BPA in basic cell culture materials were verified. Stable CYP17A-knockdown H295R cells were developed to verify the mechanism of inhibited steroidogenesis by BPA. Background concentrations of BPA in control cell culture media ranged from 0.03 to 0.38 ng/ml. Significantly lesser concentrations of androstenedione, testosterone, cortisol, and cortisone were caused by exposure to 30-3000 ng BPA/ml. In contrast, sconcentrations of estrone (E1) and E2 were significantly greater in BPA-exposed H295R cells. Lesser production of androstenedione and testosterone by H295R cells exposed to BPA was the most sensitive endpoint (no observable effect concentrations < 30 ng BPA/ml). CYP17A knockdown in H295R cells resulted in less production of both 17α hydroxyprogesterone and androstenedione. The results are consistent with the hypothesis that in H295R cells, BPA selectively inhibits 17,20-lyase but not 17α-hydroxylase. The primary mechanism causing increased E2 in the medium was inhibition of E2 metabolism rather than greater aromatase (CYP19) activity. These results suggest that BPA has the potential to interfere with cellular steroidogenesis in humans through multiple molecular mechanisms.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 0.002 |
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".