Endocrine disruption effects of 2,2′,4,4′,6-pentabromodiphenylether (BDE100) in reporter gene assays
Bibliographic record
Abstract
Polybrominated diphenyl ethers (PBDEs) constitute an important group of flame retardants. 2,2',4,4',6-Pentabromodiphenylether (BDE100) is a prominent PBDE congener in some human populations. The potential of BDE100 to modulate responses mediated by the estrogen (ER), thyroid hormone (ThR) or androgen receptors (AR) were investigated by use of transactivation reporter gene assays. The African green monkey kidney CV-1 cell transiently transfected with the constructed reporter gene plasmid ERE-TATA-Luc and pUAS-tk-Luc with luciferase (Luc) under control of the estrogen response (ERE), or thyroid hormone response (ThRE) elements were used to evaluate (anti)estrogen and thyroid effects of BDE100. The (anti)androgenic potency of BDE100 was also evaluated by use of MDA-kb2 cells, which were stably transfected with MMTV-luciferase. The assays displayed appropriate responses to known natural estrogen 17β-estradiol (E2), ThR ligand triiodothyronine (T3), and the AR agonist 5α-dihydrotestosterone (DHT). 10 or 50 μM BDE100 significantly up-regulated expression of Luc under control of the ER. Antiestrogenic potency was observed for BDE100 (IC50 = 6.21 μM). Co-exposure to 50 μM BDE100 significantly enhanced expression of Luc caused by 5 nM T3. BDE100 was antiandrogenic at 10 and 50 μM with an IC50 of 28.60 μM BDE100. These results suggest that BDE100 can modulate the endocrine system in multiple ways by interfering with several hormonal signaling pathways simultaneously.
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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) | 0.001 | 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 | 0.001 |
| 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".