OC23.01: Severity of foetal growth restriction from placental insufficiency is associated with an oxidative stress markers response in umbilical cord blood
Bibliographic record
Abstract
Intrauterine growth restriction and prenatal exposure to oxidative stress are thought to lead to increased risks of cardiovascular disease later in life. A prior study comparing the levels of oxidative stress biomarkers in the cord blood of 32 twin pregnancies with one co-twin with IUGR provided evidence of an impairment of the redox status in growth-restricted foetuses. The objective of the present study is to assess whether cord blood oxidative stress biomarkers vary with the severity of IUGR and of vascular disease in the twin pregnancy model in which both foetuses share the same maternal environment. This prospective cohort study involves twin pairs, with one co-twin with IUGR (< 10 percentile). Malondialdehyde (MDA) and oxidized low-density lipoproteins (oxLDL) were measured in venous cord blood samples. We verified whether there was an association between the severity of IUGR, IUGR with abnormal umbilical Doppler and early onset IUGR, and the concentrations of the biomarkers. Intra-pair comparisons of the 2 biomarkers were performed in using the Wilcoxon test for paired variates and group comparisons. Cord blood oxLDL concentrations were increased in cases of severe IUGR (P = 0.01), severe IUGR subjects with Doppler anomaly (P = 0.003) but not in those with early IUGR (P = 0.069). MDA was however increased only in the severe IUGR group (P = 0.036). Our data indicate that severe IUGR, but not early onset IUGR, is related to a derangement in redox balance, illustrated by increased venous cord blood oxLDL concentrations and to a lesser extent by MDA concentrations. IUGR with abnormal Doppler of the umbilical artery can be translated into conditions with intense oxidative stress. OC23.01: Table
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".