Fetal Exposure to Sertraline Hydrochloride Impairs Pancreatic β-Cell Development
Bibliographic record
Abstract
Ten percent to 15% of women take selective serotonin reuptake inhibitor (SSRI) antidepressants during pregnancy. Offspring exposed to SSRIs are more likely to have low birth weight; this is associated with an increased risk of development of diabetes in adulthood in part due to altered pancreatic development. The effects of perinatal exposure to SSRIs on pancreatic development are unknown. Therefore, the objective of this study was to determine the effect of fetal exposure to sertraline hydrochloride on pregnancy outcomes and pancreatic development. Wistar rats were given vehicle (n = 5) or sertraline hydrochloride (10 mg/kg/d; n = 8) via daily subcutaneous injection from the confirmation of mating until parturition. Results from this animal model demonstrated that offspring born to sertraline-exposed dams have no changes in birth weight but had a reduction in pancreatic β-cell area. The altered pancreatic islet development was a result of altered gene expression regulating islet development and survival. Therefore, fetal exposure to sertraline reduces β-cell capacity at birth, raising concerns regarding the long-term metabolic sequelae of such exposures.
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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) | 0.000 | 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".