Data replication for "Gut commensal Bacteroides faecichinchillae, a potential novel candidate of next-generation probiotics targeting type 2 diabetes"

DOI

Facing the lack of define research strategy to found and qualify bacterial with real antidiabetic activity, we have developed a program to identify, select and validate novel strains able to improve metabolic alterations in type 2 diabetes. Among potential candidates, we identified Bacteroides faecichinchillae (named BAfa hereafter), and the present work presents the validation of the antidiabetic potential of the ST37 (DSMZ 26883) BAfa strain in mice fed a high-fat high-sucrose (HFS) diet for 10 weeks followed by 4 weeks of treatment. Daily gavage with live, but not heat inactivated, BAfa improved glucose tolerance, fasting hyperinsulinemia and liver triglyceride content in HFS fed mice. This dataset contains 16S rRNA gene sequencing data generated by RNA-seq to characterize microbial community composition. Raw sequencing reads and associated metadata are provided. The data were produced to analyze taxonomic diversity and relative abundance of bacterial taxa across the studied samples and can be reused for comparative or methodological analyses.

Bcl2fastq, 2.17.1.14

Cutadapt, 1.9.1

RStudio, 2024.09.0 Build 375

Identifier
DOI https://doi.org/10.57745/WWVRJZ
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/WWVRJZ
Provenance
Creator Meugnier, Emmanuelle ORCID logo; Godet, Murielle ORCID logo; Vidal, Hubert ORCID logo
Publisher Recherche Data Gouv
Contributor Meugnier, Emmanuelle; Vidal, Hubert; Institut national de recherche pour l’agriculture, l’alimentation et l’environnement; Institut national de la santé et de la recherche médicale; Université Claude Bernard Lyon1; Laboratoire Cardiovasculaire, Métabolisme, Diabète et Nutrition; Entrepôt Recherche Data Gouv
Publication Year 2025
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Meugnier, Emmanuelle (CarMeN ; Université Claude Bernard Lyon 1, INRAE, INSERM ; France); Vidal, Hubert (CarMeN ; Université Claude Bernard Lyon 1, INRAE, INSERM ; France)
Representation
Resource Type Dataset
Format text/plain; application/gzip
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Version 1.0
Discipline Life Sciences; Medicine