Prenatal exposure to bisphenol A alters mouse fetal pancreatic morphology and islet composition
Bibliographic record
Abstract
BACKGROUND: Exposure to bisphenol A (BPA), an endocrine disrupting chemical, during gestation is associated with a variety of metabolic dysfunctions in adulthood, including hyperinsulinemia, glucose intolerance and insulin resistance. These modifications in glucose homeostasis largely stem from alterations in pancreatic function. However, the effects of BPA on the fetal pancreas have never been explored. The present study addressed this important question by examining the effects of prenatal BPA exposure on the mouse fetal pancreatic development. MATERIALS AND METHODS: Pregnant mice were fed a BPA diet (25 mg BPA/kg diet) from embryonic day 7.5 (E7.5) to E18.5. At E18.5, fetal pancreata were collected and analyzed for morphological changes in the endocrine pancreas such as islet size, number and β and α cell distribution. RESULTS: We showed that BPA exposed fetal pancreata had a greater number of islet-cell clusters (ICCs; <300 μm(2); p<0.05) compared with controls. Furthermore, immunohistochemical analysis revealed that prenatal BPA exposure increased both glucagon expression in islets and the numbers of glucagon-expressing islet-cell clusters (p<0.05). CONCLUSION: Considering that ICCs represent the initial stages of islet development in the fetal pancreas, our findings suggest that BPA promotes islet differentiation or delays the conversion of ICCs into mature islets. Moreover, the increase in glucagon expression suggests a potential alteration in the α:β-cell ratio in islets, which may have significant implications for the fetal pancreas both structurally and functionally. This study provides novel insight into the effects of BPA exposure on the fetal pancreata, indicating alterations in glucagon expression in islets and ICCs.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".