In utero exposure to venlafaxine, a serotonin–norepinephrine reuptake inhibitor, increases cardiac anomalies and alters placental and heart serotonin signaling in the rat
Bibliographic record
Abstract
Background Human studies are inconsistent with respect to an association between treatment with selective serotonin and serotonin–norepinephrine reuptake inhibitors (SSRI/SNRIs) and an increase in the incidence of congenital heart defects. Here we tested the hypothesis that in utero exposure to venlafaxine, a highly prescribed SNRI, increases the incidence of fetal heart defects and alters placental and fetal heart serotonin signaling in the rat. Methods Timed‐pregnant Sprague Dawley rats were gavaged daily with venlafaxine hydrochloride (0, 3, 10, 30, or 100 mg/kg/day) from gestation day 8 to 20. On gestation day 21, fetuses were examined for external and internal malformations; placentas and fetal hearts were collected for the analysis of gene expression. Results Venlafaxine had no effect on the number of live fetuses, fetal body weights, or external morphology in the absence of maternal toxicity. However, venlafaxine significantly increased the placental index (fetal body/placental weight ratio) and the incidence of fetal cardiac anomalies. Venlafaxine exposure decreased placental expression of the serotonin transporter (SERT/ Slc6a4 ) at the transcript and protein levels. In contrast, venlafaxine increased SERT expression in the hearts of female, but not male, fetuses. Expression of the serotonin 2B receptor (5‐HT 2B / Htr2b ) and of fibroblast growth factor 8 was induced in fetal hearts. Conclusion In utero venlafaxine exposure altered the placental index and induced fetal cardiac anomalies in rats. We propose that the increased incidence of cardiac anomalies is mediated through alterations in serotonin signaling in the placenta and fetal heart. Birth Defects Research (Part A), 2016. © 2016 Wiley Periodicals, Inc. Birth Defects Research (Part A) 106:1044–1055, 2016. © 2016 Wiley Periodicals, Inc.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".