In Utero Exposure to 2,3,7,8-Tetrachlorodibenzo-p-dioxin Induces Amphiregulin Gene Expression in the Developing Mouse Ureter
Bibliographic record
Abstract
Exposure to the environmental contaminant, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), produces hydronephrosis in developing mice, the etiology of which involves hyperplasia within the ureteric luminal epithelium. Dysregulation of epidermal growth factor receptor (EGFR), EGF, and transforming growth factor-alpha expression has been implicated as playing a role in TCDD-induced hydronephrosis. In this study, changes in the expression of genes encoding the EGFR and its cognate ligands in response to TCDD were evaluated within the developing ureter. C57BL/6 dams were injected ip with 30 mug/kg TCDD on gestational day (GD) 13 or 16 and fetal tissues removed on GD 17. Aryl hydrocarbon receptor (AHR) and AHR nuclear translocator messenger RNA (mRNA) were expressed in control and treated fetal tissues at GD 14 and 17. Prototypical AHR target genes, Cyp1a1, Cyp1a2, and Cyp1b1 were upregulated in TCDD-exposed fetal tissues, demonstrating AHR transcriptional activity at these developmental stages. Amphiregulin (AREG) and epiregulin, ligands for the EGFR, were induced at the transcriptional level in ureters of fetuses exposed to TCDD for 24 h. AREG mRNA was also induced by TCDD dose- and time-dependently in the mouse hepatoma cell line Hepa-1c1c7 (Hepa-1), mimicking the induction patterns of CYP1A1 mRNA. Other AHR ligands also induced AREG mRNA in Hepa-1 cells. Furthermore, variant Hepa-1 cells (TAOBP(r)c1 cells) virtually deficient in the AHR failed to display an increase in AREG mRNA in response to TCDD. Taken together, these data suggest that the AHR cross talks with the EGFR signaling pathway by directly inducing the expression of growth factors that are important for EGFR signaling in the developing mouse ureter.
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) | 0.000 | 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".