Effects of Oral Exposure to Arsenobetaine During Pregnancy and Lactation in Sprague-Dawley Rats
Bibliographic record
Abstract
Arsenobetaine (ASB) is the major form of arsenic (As) in seafood sources such as molluscs and fish. Limited data demonstrated that ASB toxicity in mammals is minimal; however, data on possible reproductive effects are lacking. This study investigated the tissue distribution and developmental effects of ASB during pregnancy, early postnatal life, and development to adulthood. Pregnant rats were randomly assigned to 3 cohorts and gavaged daily from gestational day 8 (GD8) with ASB in deionized water at 0, 0.1, 1, or 10 mg/kg body weight (bw)/d. Cohort 1 dams were sacrificed on GD20 (n = 6 per dose group), cohort 2 dams and pups were sacrificed on postnatal day 13 (PND13; n = 4 dams per dose group), and cohort 3 pups (n = 2 dams per dose group) were sacrificed on PND90. Residue analysis detected significant levels of ASB in livers of cohort 1 dams and lower levels in cohort 1 GD20 fetuses, as well as in cohort 2 male and female offspring, indicating placental transfer from the maternal circulation in utero. Trace amounts of ASB in dams' milk were found only in the 10-mg/kg bw/d dose cohort 2 (PND13), demonstrating that lactational transfer was limited. ASB levels in liver varied during pregnancy, lactation, and postweaning, with levels falling rapidly as these physiological states progress. Although transfer of ASB through the placenta to the fetuses and to a limited extent through milk was confirmed, ASB exposure during pregnancy and lactation appeared to produce no teratogenic or deleterious effects on reproductive development.
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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 | 0.001 |
| 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) | 0.001 | 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".