Stachyose ameliorates obesity-related metabolic syndrome via improving intestinal barrier function and remodeling gut microbiota/Experiment 1

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Reviewed Marked as Reviewed by Svetlana up on 2024-6-9

Curated date: 2024/05/02

Curator: Joan Chuks

Revision editor(s): Joan Chuks, Scholastica

Subjects

Location of subjects
China
Host species Species from which microbiome was sampled. Contact us to have more species added.
Mus musculus
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
High fat diet HF - High fat diet,High fat diet (finding),High fat diet,high fat diet
Group 0 name Corresponds to the control (unexposed) group for case-control studies
High-Fat Diet fed Mice (HFD)
Group 1 name Corresponds to the case (exposed) group for case-control studies
Stachyose-treated High-Fat Diet fed Mice (STA)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Male C57BL/6J mice (18–20g, 6 weeks old) which were fed a High-Fat Diet (D12492-HFD diet, #XTHF60-1) with 60% of energy from fat, for 12 weeks and treatment with stachyose in the last 8 weeks (200 mg/ kg/day).
Group 0 sample size Number of subjects in the control (unexposed) group
7
Group 1 sample size Number of subjects in the case (exposed) group
7
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
None

Lab analysis

Sequencing type
WMS
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
Not specified
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
DNBSEQ-T7

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
LEfSe
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
No
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
2

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged

Signature 1

Reviewed Marked as Reviewed by Svetlana up on 2024-6-9

Curated date: 2024/05/02

Curator: Joan Chuks

Revision editor(s): Joan Chuks

Source: Figure 5A

Description: Bacterial taxa identified by Linear discriminant analysis effect size (LEfSe) as differentially abundant in mice fed with Stachyose-treated High-Fat Diet compared to mice fed with High-Fat Diet.

Abundance in Group 1: increased abundance in Stachyose-treated High-Fat Diet fed Mice (STA)

NCBI Quality ControlLinks
Collinsella stercoris
Allobaculum mucilyticum
Thermophilibacter immobilis
Parolsenella catena
Parafannyhessea umbonata

Revision editor(s): Joan Chuks

Signature 2

Reviewed Marked as Reviewed by Svetlana up on 2024-6-9

Curated date: 2024/05/02

Curator: Joan Chuks

Revision editor(s): Joan Chuks

Source: Figure 5A

Description: Bacterial taxa identified by Linear discriminant analysis effect size (LEfSe) as differentially abundant in mice fed with Stachyose-treated High-Fat Diet compared to mice fed with High-Fat Diet.

Abundance in Group 1: decreased abundance in Stachyose-treated High-Fat Diet fed Mice (STA)

NCBI Quality ControlLinks
Escherichia marmotae

Revision editor(s): Joan Chuks