Relationships among acylation-stimulating protein, insulin resistance, lipometabolism, and fetal growth in gestational diabetes mellitus women
Bibliographic record
Abstract
The aim of this study was to investigate the potential relationship between acylation-stimulating protein (ASP), insulin resistance, lipometabolism, the intrauterine metabolic environment and fetal growth in well-controlled gestational diabetes mellitus (GDM) women. A total of 55 well-controlled GDM women, 66 pregnant women with normal glucose tolerance (NGT) and their newborns, were included in this study. Fasting maternal and cord blood ASP, serum lipid profiles, glucose level, insulin level, HOMA-IR, in addition to neonatal anthropometry data, were measured. Maternal blood ASP in GDM is higher than that in NGT. In the GDM group, maternal blood ASP has a positive correlation with TG, FFA and HOMA-IR. Maternal and cord blood ASP levels of LGA fetuses correlate with elevated birth weight and SF4. Similarly, cord blood ASP levels of LGA fetuses also correlate with birth weight and SF4 in the NGT group. The maternal blood ASP level of GDM mothers is associated with lipometabolism, insulin resistance and LGA fetal growth. Nevertheless, the cord blood ASP level correlates with FFA of GDM mothers, LGA fetal growth of GDM and NGT mothers. ASP may be a biomarker for evaluating insulin resistance of GDM and LGA fetal growth.
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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 | 0.001 | 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 | 0.000 |
| 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".