PW01-246 - Prenatal Ethanol Exposure Decreases The Number of Serotonin-immunoreactive (5-ht-ir) Cells In The Dorsal Raphe In Ovariectomized Adult Female Rats
Bibliographic record
Abstract
Prenatal alcohol exposure (PAE) produces physiological and behavioural abnormalities that are consistent with altered serotonin (5-HT) function in male rats. Whether alterations in the 5-HT system persist into adulthood and are present in females remains unknown. Objectives We investigated: 1) the effects of PAE on the number of 5-HT neurons in the brainstem in female adult rats; 2) the potential influence of ovarian sex steroids, estradiol (E2) and progesterone (P4) on this population of 5-HT neurons. Methods Female offspring from prenatal ethanol (PAE), pair-fed (PF) and ad lib-fed control (C) dams were studied in adulthood. Females were assigned to the following groups: 1) ovariectomized (OVX); 2) ovariectomized with estradiol replacement (OVX+E2; mean plasma concentration: 64 pg/ml); 3) ovariectomized and replaced with estradiol (as above) and progesterone (OVX+E2+P4; mean plasma concentration for P4:12 ng/ml); 4) Sham surgery (SHAM). Immunocytochemistry for 5-HT was performed. Results PAE decreased the number of 5-HT-ir neurons in the dorsal raphe (DR) in OVX females. There was no effect of PAE the number of DR 5HT-ir neurons in OVX+E2 group, suggesting a possible neuroprotective role of estradiol in PAE animals. Treatment with both progesterone and estradiol compared to estradiol alone caused a further decrease in number of DR 5-HT-ir neurons in PAE but not C or PF animals. Conclusion These results provide evidence of the enduring effects of PAE on the serotonergic system, and suggest a role for the ovarian sex steroids in mediating these effects. Funding IMPART (CIHR) to JHS, NIH/NIAAA AA007789 and HELP to JW.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".