Human milk feeding practices and serum immune profiles of one-year-old infants in the CHILD birth cohort study
Bibliographic record
Abstract
BACKGROUND: Breastfeeding and human milk consumption are associated with immune system development; however, the underlying mechanisms and the impact of different infant feeding practices are unclear. OBJECTIVES: This study aimed to investigate how current human milk feeding (HMF) status is related to infant immune biomarker profiles, as well as explore relationships with HMF history (i.e., duration, exclusivity, and method: directly from the breast or pumped and bottled). METHODS: This observational birth cohort study involved 605 infants from the Canadian CHILD Cohort Study. Infant feeding was captured from hospital birth records and parent questionnaires. Ninety-two biomarkers reflecting immune system activity and development were measured in serum collected at 1 y (12.6 ± 1.4 mo) using the Olink Target 96 Inflammation panel. Associations were determined using multivariable regression (adjusted for sex, time until blood sample centrifugation, and study site). RESULTS: Nearly half (42.6%) of infants were still receiving HMF at the time of blood sampling. Compared with non-HMF infants, HMF infants had higher levels of serum fibroblast growth factor 21 (FGF-21, adjusted standardized β coefficient: 0.56; 95% CI: 0.41, 0.72), cluster of differentiation 244 (CD244, β: 0.35; 95% CI: 0.19, 0.50), chemokine ligand 6 (CXCL6, β: 0.34; 95% CI: 0.18, 0.50), and chemokine ligand 20 (CCL20, β: 0.26; 95% CI: 0.09, 0.42) and lower extracellular newly identified receptor for advanced glycation end-products binding protein (EN-RAGE, β: -0.16; 95% CI: -0.29, -0.03). Among non-HMF infants, serum interleukin 7 (IL-7) had a marginally positive association with past HMF duration (β: 0.05; 95% CI: 0.02, 0.08) that persisted for ≤5 mo post-HMF cessation. Exclusive HMF duration and HMF method (at 3 mo of age) were not associated with any biomarkers. CONCLUSIONS: Current HMF status and (to a lesser extent) HMF history are associated with several inflammation-associated biomarkers in 1-y-old infants. These results provide new evidence that HMF impacts immune activity and development and suggest hypotheses about the underlying mechanisms. They also highlight the importance of including current HMF status in immune system-focused infant serum proteomic studies.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".