The human gut microbiota and glucose metabolism: a scoping review of key bacteria and the potential role of SCFAs/Experiment 6
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Reviewed Marked as Reviewed by Svetlana up on 2025-3-6
Subjects
- Location of subjects
- Australia
- Brazil
- China
- Denmark
- Finland
- France
- Ghana
- Greece
- India
- Iran
- Ireland
- Israel
- Jamaica
- Japan
- Mexico
- Poland
- South Africa
- South Korea
- Spain
- Sweden
- United Kingdom
- United States of America
- Taiwan
- Host species Species from which microbiome was sampled. Contact us to have more species added.
- Homo sapiens
- 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
- Insulin Insulin,insulin
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Bacteria associated with insulin-related outcomes
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Bacteria associated with insulin-related outcomes
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Relationship between the human gut microbiota and insulin-related outcomes, adjusted for body measures.
- Group 0 sample size Number of subjects in the control (unexposed) group
- 45
- Group 1 sample size Number of subjects in the case (exposed) group
- 45
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- Not specified
Statistical Analysis
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- Yes
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- body mass index, body weight, waist circumference, Confounders controlled for: "body fat percentage" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.body fat percentage, Confounders controlled for: "waist-to-hip ratio" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.waist-to-hip ratio
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-3-6
Source: Table 2
Description: Summary of reported associations between bacteria on different taxonomic levels and insulin-related outcomes adjusted for body measures.
Abundance in Group 1: increased abundance in Bacteria associated with insulin-related outcomes
| NCBI | Quality Control | Links |
|---|---|---|
| Bacteroidota | ||
| Pseudomonadota |
Revision editor(s): Aleru Divine, WikiWorks
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2025-3-6
Source: Table 2
Description: Summary of reported associations between bacteria on different taxonomic levels and insulin-related outcomes adjusted for body measures.
Abundance in Group 1: decreased abundance in Bacteria associated with insulin-related outcomes
Revision editor(s): Aleru Divine, WikiWorks
