Impact of maternal infection and breast inflammation on infant growth in Guatemala
Notice bibliographique
Résumé
Background It is well known that certain maternal infections impair infant growth. Less clear is whether subclinical asymptomatic breast inflammation during the first six months of lactation will also retard infant growth. During subclinical mastitis, a common inflammatory condition of the lactating breast, tight epithelial junctions become “leaky” allowing for movement of sodium and potassium, pro‐inflammatory cytokines, and growth factors into milk via the paracellular pathway. The objectives of this longitudinal study were to: (1) to explore the consequences of maternal infection on infant weight‐for‐age (WAZ), length‐for‐age (LAZ) and head‐circumference‐for‐age (HCZ) at two stages of lactation; (2) and to investigate the relative contribution of milk pro‐inflammatory cytokines and growth factors to infant anthropometry. Methods Breast milk samples were collected from a cohort of lactating Mam ‐Mayan mothers during early (0–6 wks, n=134) and established lactation (4–6 mo, n=120). Inductively Coupled Plasma Mass Spectrometry measured milk Na and K. Luminex measured milk pro‐inflammatory cytokines (IL‐1, IL‐6, IL‐8, TNF‐a) and growth factors (EGF, VEGF). Analysis for presence of maternal urine leukocytes and direct smear of maternal stool samples for non‐pathogenic protozoa ( Blastocystis hominis, Entamoeba coli , Iodamoeba butschli and Endolimax nana ) were measured. Independent variables for breast leakiness (Na/K ratio), breast inflammation, maternal infection and growth factors in milk were explored in separate multiple linear regression models for LAZ, WAZ and HCZ in early and in established lactation. Results Breast leakiness, as measured by a higher Na/K ratio, was positively correlated with all pro‐inflammatory cytokines in early lactation but in established lactation, only milk IL‐6 was positively correlated with Na/K ratio. In early lactation, LAZ was positively associated with maternal height and urine leukocytes. WAZ was positively associated with maternal weight and negatively with milk Na/K ratio and maternal stool Blastocystis hominis. HCZ was also negatively associated with milk Na/K ratio and maternal stool Blastocystis hominis but positively with the pro‐inflammatory cytokine IL‐6 in milk. In established lactation, LAZ was positively associated with maternal height but negatively with maternal stool Entamoeba coli and EGF in milk. WAZ was also negatively associated with maternal stool Entamoeba coli and positively with maternal weight and milk pro‐inflammatory cytokine TFN‐a. HCZ was positively associated with maternal height and the milk pro‐inflammatory cytokine IL‐6 but negatively with EGF in milk. Conclusion Our integrative approach shows that non‐pathogenic protozoa in maternal stool and breast leakiness contribute to poor infant growth. However, in contrast to our expectation that pro‐inflammatory cytokines in milk would retard infant growth and that growth factors would promote infant growth, we observed the opposite to be true which suggests a more complex interrelationship among maternal infection, breast inflammation and infant growth than previously understood. Support or Funding Information McGill University, School of Dietetics and Human Nutrition GREAT award;McGill University, Institute of Parasitology and Centre for Host‐Parasite Interaction Bridging Funds
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 | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».