Personalized microbiome-driven effects of non-nutritive sweeteners on human glucose tolerance/Experiment 1

From BugSigDB


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

Curated date: 2025/03/27

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 Day 21
Group 1 name Corresponds to the case (exposed) group for case-control studies
Bottom Responder at Day 21
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 21 days.
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: 2025/03/28

Curator: Shulamite

Revision editor(s): Shulamite

Source: Table S7

Description: Linear mixed model test results of top and bottom responders bacteria at day 21 mice (Bottom vs. top day 21 bacteria).

Abundance in Group 1: increased abundance in Bottom Responder at Day 21

NCBI Quality ControlLinks
Alistipes sp. 56_sp_Nov_56_25
Bacteroides neonati
Bacteroides sp. N54.MGS-20
Bacteroides sp. UBA7116
Clostridiales bacterium 1_7_47FAA
Clostridiales bacterium VE202-26
Clostridium perfringens
Clostridium sp. DSM 4029
Coprobacillus sp. 8_2_54BFAA
Fusicatenibacter saccharivorans
Intestinimonas butyriciproducens
Phocaeicola paurosaccharolyticus
[Clostridium] leptum
uncultured Anaerotruncus sp.

Revision editor(s): Shulamite

Signature 2

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

Curated date: 2025/03/28

Curator: Shulamite

Revision editor(s): Shulamite

Source: Table S7

Description: Linear mixed model test results of top and bottom responders bacteria at day 21 mice (Bottom vs. top day 21 bacteria).

Abundance in Group 1: decreased abundance in Bottom Responder at Day 21

NCBI Quality ControlLinks
Africanella massiliensis
Alistipes sp. HGB5
Bacteroides cutis
Culturomica massiliensis
Paraprevotella clara CAG:116
Phocaeicola dorei
Phocaeicola sartorii
Alistipes finegoldii

Revision editor(s): Shulamite