Impact of Donor Human Milk in the Preterm Very Low Birth Weight Gut Transcriptome Profile by Use of Exfoliated Intestinal Cells.


Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
05 Nov 2019
Historique:
received: 08 10 2019
revised: 28 10 2019
accepted: 30 10 2019
entrez: 8 11 2019
pubmed: 7 11 2019
medline: 29 4 2020
Statut: epublish

Résumé

Own mother's milk (OMM) is the optimal nutrition for preterm infants. However, pasteurized donor human milk (DHM) is a valid alternative. We explored the differences of the transcriptome in exfoliated epithelial intestinal cells (EEIC) of preterm infants receiving full feed with OMM or DHM. The prospective observational study included preterm infants ≤ 32 weeks' gestation and/or ≤1500 g birthweight. Total RNA from EEIC were processed for genome-wide expression analysis. Principal component analysis and unsupervised hierarchical clustering analysis revealed two clustered groups corresponding to the OMM and DHM groups that showed differences in the gene expression profile in 1629 transcripts. The OMM group overexpressed lactalbumin alpha gene ( The transcriptomic analysis of EEIC showed that OMM induced a differential expression of specific genes that may contribute to a more efficient response to a pro-oxidant challenge early in the postnatal period when preterm infants are at a higher risk of oxidative stress. The use of OMM should be strongly promoted in preterm infants.

Sections du résumé

BACKGROUND BACKGROUND
Own mother's milk (OMM) is the optimal nutrition for preterm infants. However, pasteurized donor human milk (DHM) is a valid alternative. We explored the differences of the transcriptome in exfoliated epithelial intestinal cells (EEIC) of preterm infants receiving full feed with OMM or DHM.
METHODS METHODS
The prospective observational study included preterm infants ≤ 32 weeks' gestation and/or ≤1500 g birthweight. Total RNA from EEIC were processed for genome-wide expression analysis.
RESULTS RESULTS
Principal component analysis and unsupervised hierarchical clustering analysis revealed two clustered groups corresponding to the OMM and DHM groups that showed differences in the gene expression profile in 1629 transcripts. The OMM group overexpressed lactalbumin alpha gene (
CONCLUSIONS CONCLUSIONS
The transcriptomic analysis of EEIC showed that OMM induced a differential expression of specific genes that may contribute to a more efficient response to a pro-oxidant challenge early in the postnatal period when preterm infants are at a higher risk of oxidative stress. The use of OMM should be strongly promoted in preterm infants.

Identifiants

pubmed: 31694290
pii: nu11112677
doi: 10.3390/nu11112677
pmc: PMC6893464
pii:
doi:

Substances chimiques

Caseins 0
Lactalbumin 9013-90-5
Cyclooxygenase 1 EC 1.14.99.1
PTGS1 protein, human EC 1.14.99.1
NADPH Oxidases EC 1.6.3.-
neutrophil cytosolic factor 1 EC 1.6.3.1

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Anna Parra-Llorca (A)

Neonatal Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.

María Gormaz (M)

Neonatal Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.
Division of Neonatology, University and Polytechnic Hospital La Fe, 46026 Valencia, Spain.

Sheila Lorente-Pozo (S)

Neonatal Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.

Maria Cernada (M)

Neonatal Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.
Division of Neonatology, University and Polytechnic Hospital La Fe, 46026 Valencia, Spain.

Ana García-Robles (A)

Neonatal Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.

Isabel Torres-Cuevas (I)

Neonatal Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.

Julia Kuligoswki (J)

Neonatal Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.

Maria Carmen Collado (MC)

Department of Biotechnology, Institute of Agrochemistry and Food Technology, Spanish National Research Council (IATA-CSIC), 46980 Valencia, Spain.

Eva Serna (E)

Department of Physiology, Faculty of Medicine, University of Valencia, 46010 Valencia, Spain.

Máximo Vento (M)

Neonatal Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.
Division of Neonatology, University and Polytechnic Hospital La Fe, 46026 Valencia, Spain.

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Classifications MeSH