Organophosphate Flame Retardants Act as Endocrine-Disrupting Chemicals in MA-10 Mouse Tumor Leydig Cells
Bibliographic record
Abstract
The organophosphate flame retardants (OPFRs) have emerged as alternatives to banned brominated flame retardants but little is known about their possible activity as endocrine disruptors. Our goal was to compare the effects of 7 commonly used OPFRsin vitroon MA-10 mouse Leydig tumor cells to those of a major brominated flame retardant, 2,2',4,4'-tetrabromodiphenyl ether (BDE-47). The effects of OPFRs and BDE-47 on mitochondrial activity, cell counts, oxidative stress, steroid secretion and gene expression were investigated. BDE-47 and all 7 OPFRs tested significantly reduced MA-10 cell mitochondrial activity (concentrations ≥50 μM) and cell number (concentrations ≥10 μM). All of the OPFRs significantly increased (10 μM, 1.7-4.4-fold) superoxide production whereas BDE-47 had no significant effect. Basal progesterone production was significantly increased (10 μM, 1.5 to 3-fold) by 2-ethylhexyl diphenyl phosphate, isodecyl diphenyl phosphate, isopropylated triphenyl phosphate, tert-butylphenyl diphenyl phosphate, and tricresyl phosphate, while BDE-47, triphenyl phosphate and tri-o-cresyl phosphate had no effect. Interestingly, isopropylated triphenyl phosphate enhanced dbcAMP-stimulated steroid production (∼2-fold), while tri-o-cresyl phosphate decreased (∼2/3) LH-stimulated steroid production. Several OPFRs affected the expression of genes involved in the biosynthesis of progesterone. In conclusion, all the OPFRs tested affected mitochondrial activity, cell survival, and superoxide production. Basal or stimulated steroid secretion was affected by all of the OPFRs except triphenyl phosphate; BDE-47 had no effect. Hence, the OPFRs currently used as alternatives affect Leydig cells to a greater extent than the brominated flame retardants that they have replaced.
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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) | 0.000 | 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) | 0.001 | 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".