Longitudinal development of the airway metagenome of preterm very low birth weight infants during the first two years of life.
Journal
ISME communications
ISSN: 2730-6151
Titre abrégé: ISME Commun
Pays: England
ID NLM: 9918205372406676
Informations de publication
Date de publication:
20 Jul 2023
20 Jul 2023
Historique:
received:
15
01
2023
accepted:
12
07
2023
revised:
06
07
2023
medline:
21
7
2023
pubmed:
21
7
2023
entrez:
20
7
2023
Statut:
epublish
Résumé
Preterm birth is accompanied with many complications and requires severe therapeutic regimens at the neonatal intensive care unit. The influence of the above-mentioned factors on the premature-born infants' respiratory metagenome or more generally its maturation is unknown. We therefore applied shotgun metagenome sequencing of oropharyngeal swabs to analyze the airway metagenome development of 24 preterm infants from one week postpartum to 15 months of age. Beta diversity analysis revealed a distinct clustering of airway microbial communities from hospitalized preterms and samples after hospital discharge. At nine and 15 months of age, the preterm infants lost their hospital-acquired individual metagenome signatures towards a common taxonomic structure. However, ecological network analysis and Random Forest classification of cross-sectional data revealed that by this age the preterm infants did not succeed in establishing the uniform and stable bacterial community structures that are characteristic for healthy full-term infants.
Identifiants
pubmed: 37474785
doi: 10.1038/s43705-023-00285-x
pii: 10.1038/s43705-023-00285-x
pmc: PMC10359316
doi:
Types de publication
Journal Article
Langues
eng
Pagination
75Subventions
Organisme : Volkswagen Foundation (VolkswagenStiftung)
ID : ZN3432
Organisme : Volkswagen Foundation (VolkswagenStiftung)
ID : ZN3432
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : VI 538 6-3
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : VI 538 6-3
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : 390874280
Informations de copyright
© 2023. The Author(s).
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