Gestational triphenyl phosphate exposure in C57Bl/6 mice perturbs expression of insulin‐like growth factor signaling genes in maternal and fetal liver
Bibliographic record
Abstract
Triphenyl phosphate (TPhP) is an organophosphorus flame retardant and plasticizer that has been added to numerous consumer products in recent years. TPhP is not overtly toxic, however recent studies have suggested that it may have metabolic disrupting effects following developmental exposure. The present study aimed to investigate the developmental and potential metabolic effects of TPhP in a murine model. C57Bl/6 dams were exposed on gestational days (GD) 8, 10, 12, and 14 to 0, 5, 25, or 50 mg/kg TPhP via intraperitoneal injection. Dams were euthanized on GD19, maternal organs excised and weighed, fetal measurements taken, and maternal and fetal livers retained for analysis. A significant increase in placenta size of TPhP exposed mice was found. Maternal and fetal liver gene expression of insulin-like growth factor (Igf) 1 and 2, as well as downstream genes involved in Igf signaling were measured. Additionally, Igf1 protein levels were measured in both maternal and fetal liver. A significant decrease in transcript levels of Igf1 and Irs2 was detected in maternal livers, whereas a significant increase in transcript levels of all genes measured was detected in fetal liver. A significant decrease in Igf1 protein levels was detected in maternal liver, however the increase in Igf1 protein levels in fetal livers was not found to be statistically significant. These results support previous findings that TPhP does not cause overt structural developmental toxicity. These data also support the hypothesis that TPhP could disrupt maternal and fetal metabolism, justifying the need for follow-up studies to investigate further.
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 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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".