Circulating Very Long-Chain Saturated Fatty Acids in Early Pregnancy: Association With Blood Pressure and Weight Gain
Bibliographic record
Abstract
OBJECTIVES: To examine the associations of circulating very long-chain saturated fatty acids (VLSFAs) with maternal blood pressure (BP), weight gain, and incidence of gestational hypertension (GH)/preeclampsia (PE) in a retrospective longitudinal study. METHODS: Blood samples from 92 pregnant women, including normotensive (n = 64) and hypertensive pregnancies (GH/PE, n = 28), from the International Trial of Antioxidants in the Prevention of PE (INTAPP; ISRCTN 85024310) were used at 8-14 weeks (visit 1) and 20-24 weeks (visit 2). Plasma Fatty acids (FA) profiles were measured by gas chromatography with flame ionization detection. Partial correlations and mixed models assessed BP and FA associations. Logistic regression models were used to assess GH/PE risks using FAs. RESULTS: Weight gain adjusted for pre-pregnancy BMI was inversely correlated to arachidic acid at visit 1 (r = -0.364, P < 0.001). VLSFAs, arachidic acid, and tricosylic acid were negatively correlated with both systolic BP and diastolic BP (DBP) at visit 1 (r < -0.274, P < 0.03). Higher levels of VLSFAs were also associated with the lower quartile of DBP (P = 0.01). Integrating clinical parameters with FA profiles (palmitoleic acid and eicosapentaenoic acid) presented a promising predictive model for GH/PE. CONCLUSIONS: VLSFA levels in circulating phospholipids, especially arachidic acid, are associated with weight gain and BP, and with tricosylic acid, could be linked to a potentially protective role within FAs in a more complex lipid signature against hypertension in pregnancy.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".