2. Academic Validation
  3. Comprehensive Preterm Breast Milk Metabotype Associated with Optimal Infant Early Growth Pattern

Comprehensive Preterm Breast Milk Metabotype Associated with Optimal Infant Early Growth Pattern

  • Nutrients. 2019 Feb 28;11(3):528. doi: 10.3390/nu11030528.
Marie-Cécile Alexandre-Gouabau 1,  Thomas Moyon 2,  Agnès David-Sochard 3,  François Fenaille 4,  Sophie Cholet 5,  Anne-Lise Royer 6,  Yann Guitton 7,  Hélène Billard 8,  Dominique Darmaun 9 10,  Jean-Christophe Rozé 11 12,  Clair-Yves Boquien 13 14
Affiliations

Affiliations

  • 1 INRA, UMR1280, Physiopathologie des Adaptations Nutritionnelles, Institut des maladies de l'appareil digestif (IMAD), Centre de Recherche en Nutrition Humaine Ouest (CRNH), Nantes F-44093, France. Marie-Cecile.Alexandre-Gouabau@univ-nantes.fr.
  • 2 INRA, UMR1280, Physiopathologie des Adaptations Nutritionnelles, Institut des maladies de l'appareil digestif (IMAD), Centre de Recherche en Nutrition Humaine Ouest (CRNH), Nantes F-44093, France. Thomas.Moyon@univ-nantes.fr.
  • 3 INRA, UMR1280, Physiopathologie des Adaptations Nutritionnelles, Institut des maladies de l'appareil digestif (IMAD), Centre de Recherche en Nutrition Humaine Ouest (CRNH), Nantes F-44093, France. agnes.david@univ-nantes.fr.
  • 4 Service de Pharmacologie et d'Immunoanalyse, Laboratoire d'Etude du Métabolisme des Médicaments, CEA, INRA, Université Paris Saclay, MetaboHUB, F-91191 Gif-sur-Yvette, France. francois.fenaille@cea.fr.
  • 5 Service de Pharmacologie et d'Immunoanalyse, Laboratoire d'Etude du Métabolisme des Médicaments, CEA, INRA, Université Paris Saclay, MetaboHUB, F-91191 Gif-sur-Yvette, France. sophie.cholet@cea.fr.
  • 6 LUNAM Université, ON;IRIS, Laboratoire d'Etude des Résidus et Contaminants dans les Aliments (LABERCA), USC INRA 1329, Nantes F-44307, France. anne-lise.royer@oniris-nantes.fr.
  • 7 LUNAM Université, ON;IRIS, Laboratoire d'Etude des Résidus et Contaminants dans les Aliments (LABERCA), USC INRA 1329, Nantes F-44307, France. yann.guitton@oniris-nantes.fr.
  • 8 INRA, UMR1280, Physiopathologie des Adaptations Nutritionnelles, Institut des maladies de l'appareil digestif (IMAD), Centre de Recherche en Nutrition Humaine Ouest (CRNH), Nantes F-44093, France. helene.billard@univ-nantes.fr.
  • 9 INRA, UMR1280, Physiopathologie des Adaptations Nutritionnelles, Institut des maladies de l'appareil digestif (IMAD), Centre de Recherche en Nutrition Humaine Ouest (CRNH), Nantes F-44093, France. dominique.darmaun@chu-nantes.fr.
  • 10 CHU, Centre Hospitalo-Universitaire Hôtel-Dieu, Nantes F-44093, France. dominique.darmaun@chu-nantes.fr.
  • 11 INRA, UMR1280, Physiopathologie des Adaptations Nutritionnelles, Institut des maladies de l'appareil digestif (IMAD), Centre de Recherche en Nutrition Humaine Ouest (CRNH), Nantes F-44093, France. jeanchristophe.roze@chu-nantes.fr.
  • 12 CHU, Centre Hospitalo-Universitaire Hôtel-Dieu, Nantes F-44093, France. jeanchristophe.roze@chu-nantes.fr.
  • 13 INRA, UMR1280, Physiopathologie des Adaptations Nutritionnelles, Institut des maladies de l'appareil digestif (IMAD), Centre de Recherche en Nutrition Humaine Ouest (CRNH), Nantes F-44093, France. clair-yves.boquien@univ-nantes.fr.
  • 14 EMBA, European Milk Bank Association, Milano I-20126, Italy. clair-yves.boquien@univ-nantes.fr.
PMID: 30823457 DOI: 10.3390/nu11030528
Abstract

Early nutrition impacts preterm infant early growth rate and brain development but can have long lasting effects as well. Although human milk is the gold standard for feeding new born full-term and preterm infants, little is known about the effects of its bioactive compounds on breastfed preterm infants' growth outcomes. This study aims to determine whether breast milk metabolome, glycome, lipidome, and free-amino acids profiles analyzed by liquid chromatography-mass spectrometry had any impact on the early growth pattern of preterm infants. The study population consisted of the top tercile-Z score change in their weight between birth and hospital discharge ("faster grow", n = 11) and lowest tercile ("slower grow", n = 15) from a cohort of 138 premature infants (27⁻34 weeks gestation). This holistic approach combined with stringent clustering or classification statistical methods aims to discriminate groups of milks phenotype and identify specific metabolites associated with early growth of preterm infants. Their predictive reliability as biomarkers of infant growth was assessed using multiple linear regression and taking into account confounding clinical factors. Breast-milk associated with fast growth contained more branched-chain and insulino-trophic amino acid, lacto-N-fucopentaose, choline, and hydroxybutyrate, pointing to the critical role of energy utilization, protein synthesis, oxidative status, and gut epithelial cell maturity in prematurity.

Keywords

breast milk metabolome; free amino acid; glycome; growth trajectory; lipidome; preterm infant.

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