67 Infant Health Status Impacts the Neutrophil Phenotypes and Polyunsaturated Fatty Acids Composition in Human Milk
Notice bibliographique
Résumé
Abstract Background The abundance of human milk leukocytes, including neutrophils, changes in response to the health status of mothers and their infants. Elevated leukocyte counts occur during infant infection and return to baseline levels upon recovery. However, it is unclear how infant health status can affect the neutrophil phenotypes and the concentration of fatty acids in their mothers’ human milk. Objectives This study investigates the association between infant health status and human milk neutrophil counts and activation state, and fatty acid levels, in human milk. Design/Methods This is a prospective cohort study of 50 healthy breastfeeding mothers recruited from St. Michael’s hospital, in Toronto, Ontario, who were followed up from 2-4 weeks until 4 months postpartum. Human milk samples were collected from participants and data regarding infant health status were collected from self-reported questionnaires completed by participants at both timepoints, then imputed based on whether infants had taken antibiotics, had been hospitalized, or had been diagnosed with a medical condition, at least 2 weeks prior to samples collection. Neutrophils were quantified using flow cytometry and labelled with a panel of antibodies to detect specific cluster of differentiation (CD) biomarkers. Fatty acids were identified and quantified using a gas chromatography-flame ionization detector (GC-FID). Linear mixed-effects models were used to evaluate the correlation between infant health status and changes in neutrophil counts, along with their expressed CD markers, and fatty acids composition in human milk during lactation. Results The CD markers were classified into 4 categories based on their function: degranulation/activation markers (CD63, CD64, and CD66a), an immunoregulation marker (CD16), adhesion markers (CD11b, CD18), and a lipopolysaccharide receptor (CD14). Human milk from mothers whose infants had a health condition had neutrophils which significantly expressed elevated levels of the CD64 biomarker (β: 85.65, p=0.009 in adjusted models), compared to human milk from mothers of healthy infants. However, there were no significant associations between infant health status, absolute hmPMN counts, andother CD biomarkers (p>0.05). There were also elevated levels of arachidonic acid (β: 0.12, p=0.013) and C22:5n-6 (β: 0.06, p=0.015) fatty acids in the human milk of mothers whose infants had a health condition, compared with human milk from mothers of healthy infants, after adjusting for maternal age, post-pregnancy body mass index, infant sex, and infant feeding pattern. Conclusion This study demonstrates that infant health status is associated with changes in human milk immunological components, suggesting an inflammatory protective response mechanism in the mammary glands triggered by infants infection. How these alterations can affect infant health outcomes in the short and longer terms need critical consideration.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».