The human gut microbiota and glucose metabolism: a scoping review of key bacteria and the potential role of SCFAs/Experiment 7

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Reviewed Marked as Reviewed by Svetlana up on 2025-3-6

Curated date: 2025/02/03

Curator: Aleru Divine

Revision editor(s): Aleru Divine, WikiWorks

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 metabolic drugs.
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
Confounders controlled for: "antidiabetic drugs" 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.antidiabetic drugs, Confounders controlled for: "blood pressure lowering drugs" 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.blood pressure lowering drugs, Confounders controlled for: "blood lipids lowering drugs" 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.blood lipids lowering drugs


Signature 1

Reviewed Marked as Reviewed by Svetlana up on 2025-3-6

Curated date: 2025/02/03

Curator: Aleru Divine

Revision editor(s): Aleru Divine, WikiWorks

Source: Table 2

Description: Summary of reported associations between bacteria on different taxonomic levels and insulin-related outcomes adjusted for metabolic drugs.

Abundance in Group 1: increased abundance in Bacteria associated with insulin-related outcomes

NCBI Quality ControlLinks
Bacillota
Eubacteriales
Lachnospiraceae
Blautia
Clostridium

Revision editor(s): Aleru Divine, WikiWorks

Signature 2

Reviewed Marked as Reviewed by Svetlana up on 2025-3-6

Curated date: 2025/02/03

Curator: Aleru Divine

Revision editor(s): Aleru Divine, WikiWorks

Source: Table 2

Description: Summary of reported associations between bacteria on different taxonomic levels and insulin-related outcomes adjusted for metabolic drugs.

Abundance in Group 1: decreased abundance in Bacteria associated with insulin-related outcomes

NCBI Quality ControlLinks
Bacillota
Pseudomonadota
Eubacteriales
Clostridiaceae
Lachnospiraceae
Oscillospiraceae
Bifidobacterium
Clostridium
Akkermansia muciniphila
Bacteroides intestinalis
Bifidobacterium longum
Blautia coccoides
[Clostridium] leptum
Faecalibacterium prausnitzii

Revision editor(s): Aleru Divine, WikiWorks