A Mixture Reflecting Polybrominated Diphenyl Ether (PBDE) Profiles Detected in Human Follicular Fluid Significantly Affects Steroidogenesis and Induces Oxidative Stress in a Female Human Granulosa Cell Line
Bibliographic record
Abstract
Brominated flame retardants are incorporated into consumer products to prevent flame propagation. These compounds leach into the domestic environment, resulting in chronic exposure. Pregnancy failure is associated with high levels of polybrominated diphenyl ethers (PBDEs), a major class of brominated flame retardants, in human follicular fluid, raising serious questions regarding their impact on female fertility. Our goal was to elucidate the effects of a mixture of PBDEs, similar to the profile found in human follicular fluid, on an immortalized human granulosa cell line, the KGN cell line. We showed that cell viability was altered and oxidative stress was induced as reflected by increased reactive oxygen species formation at 100 μM of the PBDE mixture. Transcriptomic analysis revealed that PBDE treatments of 1, 5, and 20 μM altered the expression of several genes involved in the reactive oxygen species signaling pathway. Significant dose-dependent reductions in progesterone and estradiol levels in the culture medium were measured after PBDE treatment; in parallel, the expression of genes involved in estradiol metabolism, namely CYP1A1, was up-regulated by 5 and 20 μM of the PBDE mixture. Treatment with 20 μM PBDE also increased the expression and secretion of the proinflammatory factor, IL-6, into the KGN cell culture medium. Our results demonstrate that PBDEs can alter human granulosa cell functions by inducing oxidative stress and disrupting steroidogenesis. These results indicate that PBDEs may be detrimental to ovarian functions and thus may adversely affect female reproductive health after chronic exposure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 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".