Elucidation of Gut Microbiota-Associated Lipids Using LC-MS/MS and 16S rRNA Sequence Analyses.
Lipidomics
Microbiome
Omics
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
18 Dec 2020
18 Dec 2020
Historique:
received:
03
07
2020
revised:
25
10
2020
accepted:
18
11
2020
entrez:
14
12
2020
pubmed:
15
12
2020
medline:
15
12
2020
Statut:
epublish
Résumé
Host-microbiota interactions create a unique metabolic milieu that modulates intestinal environments. Integration of 16S ribosomal RNA (rRNA) sequences and mass spectrometry (MS)-based lipidomics has a great potential to reveal the relationship between bacterial composition and the complex metabolic network in the gut. In this study, we conducted untargeted lipidomics followed by a feature-based molecular MS/MS spectral networking to characterize gut bacteria-dependent lipid subclasses in mice. An estimated 24.8% of lipid molecules in feces were microbiota-dependent, as judged by > 10-fold decrease in antibiotic-treated mice. Among these, there was a series of unique and microbiota-related lipid structures, including acyl alpha-hydroxyl fatty acid (AAHFA) that was newly identified in this study
Identifiants
pubmed: 33313490
doi: 10.1016/j.isci.2020.101841
pii: S2589-0042(20)31038-5
pmc: PMC7721639
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101841Informations de copyright
© 2020 The Author(s).
Déclaration de conflit d'intérêts
The authors declare no competing interests.
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