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Record W7029319663

Investigating the relationship between infant feeding practices and inflammation-associated biomarkers of one-year-old infants in the CHILD Cohort study

2023· dissertation· en· W7029319663 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsnot available
Fundersnot available
KeywordsBreastfeedingCohortImmune systemCohort studyChemokineBreast feedingBlood sampling
DOInot available

Abstract

fetched live from OpenAlex

Breastfeeding and human milk consumption are associated with immune system development; however, the impact of different infant feeding practices on this relationship is unclear. This research aimed to understand how current human milk feeding (HMF) status is related to immune activity, and how history of HMF (HMF duration, exclusivity, and method - directly from the breast, or pumped and bottled) is related to immune development, in one-year-old infants. This study investigated a subset of 605 one-year-old infants from the CHILD Cohort Study, a cohort study that recruited pregnant women from four Canadian provinces. Infant feeding was captured from hospital birth records and parent questionnaires. Ninety-two biomarkers reflecting immune system activity and development were measured in infant serum using the Olink Target 96 Inflammation panel. Associations were determined using multivariable regression (adjusted for sex, time until blood sample centrifugation, and participant study site), with adjustment for multiple comparisons. Nearly half (44%) of infants were still breastfeeding at the time of blood sampling (12.6 ± 1.4 months). Compared to infants who were never breastfed or had stopped breastfeeding, those who were still breastfeeding 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, 0.19-0.50), Chemokine Ligand 6 (CXCL6, β=0.34, 0.18-0.50), and Chemokine Ligand 20 (CCL20, β=0.26 ,0.09-0.42), and lower levels of extracellular newly identified receptor for advanced glycation end-products binding protein (EN-RAGE, β=-0.16, -0.29- - 0.03). Among infants not currently HMF, total HMF duration had a marginal positive association with IL-7 serum levels (adjusted standardized β-coefficient =0.05, 0.02- 0.08). Exclusive HMF duration and HMF method (at three months of age) were not associated with any biomarkers in adjusted models. Current HMF status, more so than prior infant feeding practices, is associated with changes in inflammation-associated biomarker profiles at one year of age. In addition to informing new hypotheses about the impact of breastfeeding on immune development and activity, these results highlight the importance of including current HMF status in immune-system-focused infant serum proteomic studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.685

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.054
GPT teacher head0.297
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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