Effect of Feeding a Formula Supplemented With Long‐chain Polyunsaturated Fatty Acids for 14 Weeks Improves the Ex Vivo Response to a Mitogen and Reduces the Response to a Soy Protein in Infants at Low Risk for Allergy
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Feeding long-chain polyunsaturated fatty acids (LCP) influences immunity in adults; however, less is known about their effect during development. The aim of the study was to determine the effect of feeding LCP on immunity in healthy infants during the first 4 months of life. PATIENTS AND METHODS: Formula-fed infants were randomized at <or=14 days of age to standard term formula (Formula) or formula containing LCP (Formula+LCP). Infants exclusively fed human milk (HM) were included for comparison. At 16 weeks of age, blood was collected and phenotypes, the ability to proliferate and produce cytokines (interleukin [IL]-2, IL-4, IL-6, IL-10, IL-12, interferon [IFN]-gamma, tumor necrosis factor [TNF]-alpha, TGF-beta) after incubation with phytohemaglutinin (PHA), beta-lactoglobulin, or soy protein were measured. RESULTS: Feeding LCP resulted in a higher than and more similar proliferation rate to PHA in HM-fed infants, possibly because of a greater TH1 type cytokine response and a higher percentage of antigen mature (CD45RO+) cells (P < 0.05). The response to beta-lactoglobulin did not differ among groups. After incubation with soy protein Formula+LCP, compared with Formula produced less IL-2 and more TNF-alpha and had a higher percentage of CD8+ and a lower percentage of CD20+ (CD20+CD54+) cells poststimulation (P < 0.05). Both formula groups produced less IL-2 after PHA, had a lower percentage of CD80+ cells, and a higher percentage of CD54+ cells after incubation with food proteins (P < 0.05). CONCLUSIONS: Formula-fed infants, at low risk for allergy, respond differently to mitogen and food proteins ex vivo than those fed HM. Feeding LCP altered some of these differences in the direction that is hypothesized to confer immune benefits.
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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) | 0.001 | 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 | 0.001 | 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".