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Human Milk Oligosaccharides and Food Sensitization at 12 months in the CHILD Cohort

2017· article· en· W2954616099 on OpenAlexafffundabout
Meghan B. Azad, Bianca Robertson, Atul K Sharma, Padmaja Subbarao, Allan B. Becker, Piush J. Mandhane, Stuart E. Turvey, Diana L. Lefebvre, Malcolm R. Sears, Lars Bode

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsMcMaster UniversityUniversity of British ColumbiaUniversity of AlbertaGeorge & Fay Yee Centre for Healthcare InnovationUniversity of TorontoUniversity of ManitobaChildren's Hospital Research Institute of ManitobaManitoba Health
FundersCanadian Institutes of Health ResearchResearch Manitoba
KeywordsMedicineInterquartile rangeSensitizationCohortConfoundingInfant formulaPhysiologyInternal medicineImmunologyPediatrics

Abstract

fetched live from OpenAlex

Rationale Human milk oligosaccharides (HMOs) provide selective substrates for infant gut microbiota and influence immune system maturation. HMOs appear to modify allergic disease development in rodent models, but this has not been confirmed in humans. Methods We studied a representative subset of 421 mother‐infant dyads from the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort. Milk samples were collected at 4 months postpartum (median 16 weeks, interquartile range 14 – 19) and analyzed by rapid high‐throughput HPLC to quantify the 20 most abundant HMOs. Skin prick testing was performed at 12 months to determine sensitization (≥2mm wheal) to egg, milk, soy and peanut. Associations were examined for total and individual HMO levels (univariate analysis: Wilcoxon rank‐sum test) and overall HMO profiles (multivariable classifier: partial least squares discriminant analysis tested for significance by leave‐one‐out‐cross‐validation). Discriminant scores were examined in regression models with adjustment for potential confounders and known allergy risk factors. Results Overall, 59/421 infants (14.0%) were sensitized to one or more food allergen by 12 months. Total HMO levels were similar in milk consumed by sensitized vs. non‐sensitized infants (14,010 ± 3,510 vs. 13,937 ± 4,085 nmol/mL; p=0.96) and individual HMO levels were not significantly associated with food sensitization (all p>0.09). However, overall HMO profiles differed significantly (mean discriminant score: 0.129 vs. 0.209, p<0.001; area‐under‐the‐curve: 0.73, 95%CI 0.66–0.79). This association was robust to cross‐validation and remained significant in adjusted models, where each 0.1‐unit increase in HMO discriminant score was associated with a 2.5‐fold increased odds of food sensitization (adjusted OR 2.46, 95%CI 1.78–3.41, p<0.001), independent of maternal food allergy, ethnicity, household pets, and lactation time postpartum. HMO profiles associated with higher odds of food sensitization were characterized by lower concentrations of fucosyl‐disialyllacto‐N‐hexaose (FDSLNH), lacto‐N‐fucopentaose‐I (LNFPI), LNFPII, and higher concentrations of lacto‐N‐hexaose (LNH) and lacto‐N‐tetraose (LNT). Conclusion HMO composition is associated with food sensitization in the first year of life. Ongoing research in the CHILD study will seek to confirm these findings in a larger sample of mother‐infant dyads, and evaluate associations with confirmed food allergy at 3 and 5 years of age. Support or Funding Information This study was funded by Research Manitoba and supported by the Canadian Institutes of Health Research and the Allergy, Genes and Environment Network of Centres of Excellence.

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)0.001
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 score0.643
Threshold uncertainty score0.719

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.288
Teacher spread0.263 · 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".

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Citations0
Published2017
Admission routes3
Has abstractyes

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