Effects of Gestational Bisphenol A Exposure on Hypothalamic Vasopressinergic Neurons
Bibliographic record
Abstract
Abstract Background: Bisphenol A (BPA), a well-recognized endocrine disruptor that has been linked to numerous adverse outcomes, is ubiquitously detected in humans, including pregnant women. Emerging epidemiological and animal studies showed associations between prenatal BPA exposure and social-behavioral issues in childhood, including aggression and anxiety. Methods: Since vasopressinergic circuits play important roles in regulating social behaviors, and our previous studies showed that prenatal exposure to BPA altered vasopressin development in offspring, here we evaluated effects of BPA on the number of arginine vasopressin (AVP) neurons in hypothalamic subregions, including the supraoptic nucleus (SON), suprachiasmatic nucleus (SCN) and paraventricular nucleus (PVN), using immunohistochemistry, and assessed the intrinsic electrophysiological properties as well as synaptic transmission of AVPPVN neurons using whole-cell patch-clamp. Results: We observed increased number of AVP neurons in SON, SCN, and PVN in BPA treated group compared with the control group. Lower spontaneous action potentials the frequency was found in the BPA group compared to the control group, demonstrating disruption in AVP biophysical properties. Current clamp experiments also showed that BPA treated AVPPVN neurons were less responsive to current injections than control AVPPVN neurons, including fewer neuronal spikes, delayed latency to the first spike, and less responsive overall were observed in the BPA group. Spontaneous excitatory postsynaptic currents frequency but not amplitude was also altered by BPA gestational exposure, while no significant changes were found for spontaneous inhibitory post-synaptic currents. Conclusion: Collectively, our results suggest that gestational BPA expose might disturb hypothalamic AVP circuits, as indicated by increased AVP neurons in hypothalamic nuclei and disrupted excitability and synaptic transmission of/onto AVP neurons.
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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 | 0.001 |
| 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) | 0.000 | 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".