Maternal Dietary Inflammatory Index and Biomarkers of Inflammation at Birth
Bibliographic record
Abstract
We evaluated the association between the inflammatory potential of the maternal diet during pregnancy and levels of inflammatory biomarkers measured in cord blood and maternal serum at birth. Dietary inflammatory potential was calculated using the energy-adjusted dietary inflammatory index (E-DII) in the French EDEN and ELFE birth cohorts. Biomarkers of inflammation (interleukin [IL]-1β, IL-6, IL-10, tumor necrosis factor α [TNF-α]) were measured from cord blood (EDEN [n = 758]; ELFE [n = 899]) and maternal serum (in ELFE only; [n = 911]) collected at birth. Additionally, leptin was also measured from cord blood in EDEN (n = 1202) and C-reactive protein was measured from cord blood in ELFE (n = 895). Linear regression models, adjusted for confounders, were used to investigate the association between tertiles of the E-DII score and each log-transformed biomarker. There were no significant associations between the E-DII score and maternal or cord blood biomarkers in either cohort. The energy-adjusted dietary inflammatory index score during pregnancy was not associated with concentrations of inflammatory biomarkers in either maternal serum or cord blood at birth.
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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 | 0.000 |
| 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) | 0.000 | 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".