Personalized microbiome-driven effects of non-nutritive sweeteners on human glucose tolerance/Experiment 2

From BugSigDB


Reviewed Marked as Reviewed by Svetlana up on 2025-4-4

Curated date: 2025/03/28

Curator: Shulamite

Revision editor(s): Shulamite

Subjects

Location of subjects
Israel
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
Glucose tolerance test Glucose tolerance test,glucose tolerance test
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Top Responder at Baseline
Group 1 name Corresponds to the case (exposed) group for case-control studies
Bottom Responder at Baseline
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
The mice were recipients of the bottom sucralose responder human donors at Baseline.
Group 0 sample size Number of subjects in the control (unexposed) group
3
Group 1 sample size Number of subjects in the case (exposed) group
3

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
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
log transformation
Statistical test
Mixed-Effects Regression
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)?
Yes
Matched on Factors on which subjects have been matched on in a case-control study
age


Signature 1

Reviewed Marked as Reviewed by Svetlana up on 2025-4-4

Curated date: 2025/03/29

Curator: Shulamite

Revision editor(s): Shulamite

Source: Table S7

Description: Linear mixed model test results of top and bottom responders bacteria at baseline mice (Bottom vs. Top Baseline Bacteria)

Abundance in Group 1: increased abundance in Bottom Responder at Baseline

NCBI Quality ControlLinks
Akkermansia sp. UBA7090
Bacteroides clarus
Bacteroides faecichinchillae
Bacteroides fluxus
Bacteroides fragilis
Bacteroides intestinalis CAG:315
Bacteroides togonis
Bacteroides xylanisolvens
Blautia schinkii
Blautia sp. An249
Blautia sp. CAG:237
Blautia sp. CAG:257
Lachnospiraceae bacterium 1_4_56FAA
Parabacteroides massiliensis

Revision editor(s): Shulamite

Signature 2

Reviewed Marked as Reviewed by Svetlana up on 2025-4-4

Curated date: 2025/03/29

Curator: Shulamite

Revision editor(s): Shulamite

Source: Table S7

Description: Linear mixed model test results of top and bottom responders bacteria at baseline mice (Bottom vs. Top Baseline Bacteria)

Abundance in Group 1: decreased abundance in Bottom Responder at Baseline

NCBI Quality ControlLinks
Alistipes senegalensis
Bacteroides ovatus
Bacteroides sp. D1
Bacteroides thetaiotaomicron
Butyricimonas virosa
Coprobacter fastidiosus
Hoylesella timonensis
Parabacteroides merdae
Paraprevotella clara CAG:116
Phocaeicola salanitronis
uncultured Flavonifractor sp.

Revision editor(s): Shulamite