Biomarkers of vascular injury and endothelial dysfunction after recent glucose intolerance in pregnancy
Bibliographic record
Abstract
OBJECTIVE: Women with gestational diabetes mellitus and milder gestational impaired glucose intolerance have elevated future risks of type 2 diabetes and cardiovascular disease. However, it is unclear whether they show postpartum evidence of vascular injury/dysfunction, an early event in the natural history of cardiovascular disease. METHODS: In total, 337 women underwent a glucose challenge test and oral glucose tolerance test in pregnancy, yielding four gestational glucose tolerance groups: gestational diabetes mellitus, gestational impaired glucose intolerance, abnormal glucose challenge test with normal glucose tolerance on the oral glucose tolerance test and normal glucose challenge test with normal glucose tolerance. At 3 years postpartum, they underwent repeat oral glucose tolerance test (on which 69 women had pre-diabetes/diabetes) and measurement of the following serum markers of vascular injury/dysfunction: thrombomodulin, E-selectin, P-selectin, intercellular adhesion molecule-3 and vascular cell adhesion molecule-1. RESULTS: At 3 years postpartum, mean adjusted vascular cell adhesion molecule-1 was the only vascular marker that differed across the previous gestational glucose tolerance groups. On multiple linear regression analysis, each strata of gestational dysglycaemia was an independent predictor of lower vascular cell adhesion molecule-1 at 3 years postpartum (gestational diabetes mellitus: p = 0.005; gestational impaired glucose intolerance: p = 0.003; abnormal glucose challenge test normal glucose tolerance: p = 0.0008), as was current pre-diabetes/diabetes ( p = 0.01). CONCLUSION: Dysregulation of vascular cell adhesion molecule-1 may be an early event in the natural history of cardiovascular disease in women with recent glucose intolerance 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".