Prenatal Exposure to Fluoxetine Induces Fetal Pulmonary Hypertension in the Rat
Bibliographic record
Abstract
RATIONALE: Fluoxetine is a selective serotonin reuptake inhibitor antidepressant widely used by pregnant women. Epidemiological data suggest that fluoxetine exposure prenatally increases the prevalence of persistent pulmonary hypertension syndrome of the newborn. The mechanism responsible for this effect is unclear and paradoxical, considering the current evidence of a pulmonary hypertension protective fluoxetine effect in adult rodents. OBJECTIVES: To evaluate the fluoxetine effect on fetal rat pulmonary vascular smooth muscle mechanical properties and cell proliferation rate. METHODS: Pregnant rats were treated with fluoxetine (10 mg/kg) from Day 11 through Day 21 of gestation. MEASUREMENTS AND MAIN RESULTS: Fetuses were delivered by cesarean section. As compared with controls, fluoxetine exposure resulted in fetal pulmonary hypertension as evidenced by an increase in the weight ratio of the right ventricle to the left ventricle plus septum (P = 0.02) and by an increase in pulmonary arterial medial thickness (P < 0.01). Postnatal mortality was increased among experimental animals, and arterial oxygen saturation was 96 +/- 1% in 1-day-old control animals and significantly lower (P < 0.01) in fluoxetine-exposed pups (79 +/- 2%). In vitro, fluoxetine induced pulmonary arterial muscle contraction in fetal, but not adult, animals (P < 0.01) and reduced serotonin-induced contraction at both ages (P < 0.01). After in utero exposure to a low fluoxetine concentration the pulmonary arterial smooth muscle cell proliferation rate was significantly increased in fetal, but not adult, cells (P < 0.01). CONCLUSIONS: In contrast to the adult, fluoxetine exposure in utero induces pulmonary hypertension in the fetal rat as a result of a developmentally regulated increase in pulmonary vascular smooth muscle proliferation.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".