The effect of nicotine on in vitro placental perfusion pressure
Bibliographic record
Abstract
Cigarette smoking throughout pregnancy is associated with several negative outcomes, of which an increased incidence of intra-uterine growth restriction (IUGR) is most pronounced. Gestationally age-matched infants born to smoking mothers are, on average, 200 g lighter at birth, per pack smoked per day. The mechanisms and specific tobacco compounds responsible for the increased risk of IUGR among smokers have yet to be identified; however, it is widely accepted that smoking women have compromised placental perfusion throughout gestation due to the vasoconstricting effect of nicotine on uterine and placental blood vessels. Despite the universal acceptance of this theory, very little work has been completed to date examining the vasoactive properties of nicotine within the human placenta. The objective of this study was to determine the effect of nicotine on placental vascular function. Normal-term human placentae were obtained after elective cesarean sections. An in vitro placental perfusion system was used; increasing doses of nicotine (20-240 ng/mL) were added to either the maternal (n = 5) or fetal (n = 3) circulation. The basal feto-placental perfusion pressure was 39.87 +/- 4.3 mmHg and was not affected by nicotine. This finding supports the hypotheses that nicotine does not directly affect placental microvascular function and that any contribution to fetal growth restriction is likely at the level of placental function (i.e., amino acid transport) and (or) uterine vascular function.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".