Vitamin D status positively associates with interleukin‐6 and tumour necrosis factor alpha in healthy young children (40.8)
Bibliographic record
Abstract
Vitamin D status associates with immune function and duration of illness. The objective was to examine interleukin‐6 (IL‐6) and tumor necrosis factor alpha (TNF) in relation to vitamin D status in healthy children. Children (n=457; 1.8‐5.8 y) were recruited from randomly selected daycares in Montreal. Body mass index Z‐scores for age (BAZ) were calculated using the WHO growth standard. Capillary plasma samples were measured for IL‐6, TNF and C‐related peptide (CRP) (Multiplex assays; Millipore Corp. USA); CRP values > 10 mg/L were excluded. Vitamin D status (chemiluminescence; Liaison, Diasorin Inc.) was categorized using plasma 25‐hydroxyvitamin D (25(OH)D) values <50.0 nmol/L (low; n=52), 50.0‐74.9 nmol/L (adequate; n=189) and 蠅75.0 nmol/L (robust; n=216). Differences among vitamin D status categories were tested using mixed model ANOVA (random effects: age, sex, BMI Z‐score and season) and Tukey’s post hoc test; data are mean ± SD. Average age was 3.7 ± 1.0 y, BAZ 0.5 ± 1.0 kg/m 2 and CRP 0.9 ± 1.6 mg/L. By design all pair‐wise differences in 25(OH)D (nmol/L) were observed (low: 40.8 ± 6.7; adequate: 63.4 ± 7.6; robust 100.3 ± 22.4, P<0.001). Highest IL‐6 (low: 9.9 ± 13.0; adequate 9.9 ± 12.9; robust 14.0 ± 14.9 ng/L, P<0.02) and TNF (low: 6.8 ± 3.5; adequate 7.1 ± 3.1; robust 7.8 ± 3.4 ng/L, P<0.03) were observed in the robust group. The data suggests that robust vitamin D status supports innate immune function. Grant Funding Source : Supported by Dairy Farmers of Canada
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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 | 0.001 |
| 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) | 0.002 | 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 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".