Effects of Bisphenols A, AF, and S on Endochondral Ossification and the Transcriptome of Murine Limb Buds
Bibliographic record
Abstract
Bisphenols are a family of chemicals commonly used to produce polycarbonate plastics and epoxy resins. Exposure to bisphenol A (BPA) is associated with a variety of adverse effects; thus, many alternatives to BPA, such as bisphenol AF (BPAF) and bisphenol S (BPS), are now emerging in consumer products. We have determined the effects of 3 bisphenols on endochondral ossification and the transcriptome in a murine limb bud culture system. Embryonic forelimbs were cultured in the presence of vehicle, BPA, BPAF, or BPS. BPA (≥10 μM), BPAF (≥1 μM), and BPS (≥50 μM) reduced the differentiation of hypertrophic chondrocytes and osteoblasts. Chondrogenesis was suppressed by exposure to ≥50 μM BPA, ≥5 μM BPAF, or 100 μM BPS and osteogenesis was almost completely arrested at 100 μM BPA or 10 μM BPAF. RNA sequencing analyses revealed that the total number of differentially expressed genes increased with time and the concentration tested. BPA exposure differentially regulated 635 genes, BPAF affected 554 genes, whereas BPS affected 95 genes. Although the genes that were differentially expressed overlapped extensively, each bisphenol also induced chemical-specific alterations in gene expression. BPA- and BPAF-treated limbs exhibited a downregulation of Rho-specific guanine nucleotide dissociation inhibitor (RhoGDI) signaling genes. Exposure to BPA and BPS resulted in the upregulation of key genes involved in cholesterol biosynthesis, whereas exposure to BPAF induced an upregulation of genes involved in bone formation and in the p53 signaling pathway. These data suggest that BPAF may be more detrimental to endochondral ossification than BPA, whereas BPS is of comparable toxicity to BPA.
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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".