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Molecular and microbial signatures predictive of prebiotic action of neoagarotetraose in a dextran sulfate sodium induced murine colitis model

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posted on 2024-09-29, 06:19 authored by USDA
Neoagarotetraose (NT), a hydrolytic product of agar by beta agarase, is known to possess bioactive properties. However, the mechanisms via which NT alleviates intestinal inflammation remain elusive. In this study, a dextran sulfate sodium (DSS) induced murine model was developed to evaluate the effect of NT on gut microbiome and microbial metabolism using 16S rRNA gene sequencing and untargeted metabolomics. Our data demonstrate that NT ingestion improved gut integrity, ulcers and inflammation scores. NT partially restored DSS induced gut dysbiosis. NT reversed the abundance of Proteobacteria from an elevated level induced by DSS and significantly increased the abundance of Verrucomicrobia. Further, NT significantly increased the abundance of Akkermansia and Lactobacillus and concomitantly decreased that of Sutterella, which were among the important features identified by random forests analysis contributing to classification accuracy for NT supplementation. A microbial signature consisting of Adlercreutzia (denominator) and Turicibacter (Numerator) predicted the NT supplementation status. Moreover, NT significantly modulated multiple gut metabolites, particularly those related to histidine, polyamine and tocopherol metabolism. Together, our findings provided novel insights into the mechanisms by which NT modulated the gut microbiome and metabolome and should facilitate NT as a potent prebiotic for colitis management.

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2020-06-05

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA637629

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA637629 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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