Circulating interleukin-6 concentrations during and after gestational diabetes mellitus
Bibliographic record
Abstract
OBJECTIVE: Recent studies have shown that high interleukin-6 (IL-6) secretion may aggravate insulin resistance in pregnancy and participate in the pathogenesis of gestational diabetes mellitus (GDM). The aim of this study was to determine whether the presence of GDM is associated with elevated IL-6 concentrations and whether this association remains after delivery, independent of body mass index. DESIGN: Longitudinal study. SETTING: Hospital-based. SAMPLE: Forty-seven women were screened for GDM with a 75g oral glucose tolerance test at 26.1±3.7 weeks of pregnancy following the Canadian Diabetes Association guidelines (20 GDM, 27 control subjects). MAIN OUTCOME MEASURES: Interleukin-6 levels were measured by ELISA at the time of GDM screening and two months post-partum. RESULTS: Interleukin-6 concentrations were significantly higher in women with GDM compared with control women at the time of GDM screening (1.47±0.72 vs. 0.90±0.32pg/mL, p≤0.01). Similar results were obtained two months post-partum, where IL-6 levels remained significantly higher in women with GDM compared with control women (1.88±0.85 vs. 1.41±0.87pg/mL, p≤0.05). Interleukin-6 concentrations were significantly correlated with the Matsuda insulin sensitivity index, measured at the two time points (r=-0.60, p≤0.01 and r=-0.34, p≤0.05). The Matsuda insulin sensitivity index was an independent and significant predictor of IL-6 concentrations at the time of GDM screening, explaining 35.6% of the variance (p≤0.0001) in this variable. IL-6 concentration measured at GDM screening was identified as an independent and significant predictor of post-partum IL-6 concentrations, explaining 28.6% of the variance (p≤0.001). CONCLUSIONS: These results show that GDM is associated with elevated IL-6 levels independent of obesity levels, both during pregnancy and after delivery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.002 | 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 teacher head, 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".