Blood levels of phosphatidylethanol in pregnant women reporting positive alcohol ingestion, measured by an improved LC-MS/MS analytical method
Bibliographic record
Abstract
OBJECTIVE: A reliable biomarker of low alcohol exposure during pregnancy is needed to clarify the controversy on the teratogenicity of low-to-moderate alcohol levels. METHODS: Blood samples were obtained from 13 pregnant women who self-reported alcohol ingestion between 2.5 and 20 drinks/week, and from 26 controls. Total lipids were extracted, and phosphatidylethanol (PEth) species 16:0/16:0, 16:0/18:1, and 16:0/18:1 were separated by high-performance liquid chromatography (HPLC) on a reverse-phase phenyl column. These PEth species were quantified by MS/MS using phosphatidylpropanol as internal standard, with electrospray ionization and MRM. RESULTS: PEth species were not detected in women who abstained from alcohol ingestion during pregnancy, whereas PEth-16:0/18:1 was > 5 nmol/L in those with positive alcohol ingestion. PEth species were detected for up to 4 weeks after cessation of exposure. CONCLUSIONS: PEth-16:0/18:1 was detected in pregnant women at 4-6 weeks after their last low-to-moderate alcohol ingestion, and therefore appears to be a reliable biomarker of prenatal alcohol exposure to study the teratogenicity of alcohol at these exposure levels.
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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 | 0.002 |
| 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) | 0.000 | 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".