The evolving world of milk oligosaccharides: Biochemical diversity understood by computational advances.

Biodiversity Bioinformatics Breast milk Glycobiology Systems biology

Journal

Carbohydrate research
ISSN: 1873-426X
Titre abrégé: Carbohydr Res
Pays: Netherlands
ID NLM: 0043535

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 24 01 2024
revised: 20 02 2024
accepted: 21 02 2024
medline: 18 3 2024
pubmed: 26 2 2024
entrez: 25 2 2024
Statut: ppublish

Résumé

Milk oligosaccharides, complex carbohydrates unique to mammalian milk, play crucial roles in infant nutrition and immune development. This review explores their biochemical diversity, tracing the evolutionary paths that have led to their variation across different species. We highlight the intersection of nutrition, biology, and chemistry in understanding these compounds. Additionally, we discuss the latest computational methods and analytical techniques that have revolutionized the study of milk oligosaccharides, offering insights into their structural complexity and functional roles. This brief but essential review not only aims to provide a deeper understanding of milk oligosaccharides but also discuss the road toward their potential applications.

Identifiants

pubmed: 38402731
pii: S0008-6215(24)00048-X
doi: 10.1016/j.carres.2024.109069
pii:
doi:

Substances chimiques

Oligosaccharides 0

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109069

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jon Lundstrøm (J)

Department of Chemistry and Molecular Biology, University of Gothenburg, 41390, Gothenburg, Sweden; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 41390, Gothenburg, Sweden.

Daniel Bojar (D)

Department of Chemistry and Molecular Biology, University of Gothenburg, 41390, Gothenburg, Sweden; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 41390, Gothenburg, Sweden. Electronic address: daniel.bojar@gu.se.

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Classifications MeSH