The human microbiota is associated with cardiometabolic risk across the epidemiologic transition/Experiment 1

From BugSigDB


Needs review

Curated date: 2024/10/28

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Subjects

Location of subjects
Ghana
South Africa
United States of America
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
Risk factor Factor, Risk,Factors, Risk,Risk Factors,Risk factor,risk factor
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Non-CMD
Group 1 name Corresponds to the case (exposed) group for case-control studies
CMD
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Participants in the CMD group had Cardiometabolic Risk (CM) risk defined as at least 3 CM risk factors from five: waist circumference, elevated blood pressure, elevated blood fasting glucose, elevated triglyceride and low HDL concentration in USA, RSA, and Ghana

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V4
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).
centered log-ratio
Statistical test
ANCOM
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
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
age, body mass index, sex, Confounders controlled for: "country" 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.country

Alpha Diversity

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

Signature 1

Needs review

Curated date: 2024/10/29

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Source: Figure 2D

Description: Specific gut bacterial taxa are differentially abundant (in relative terms) between study sites with and without elevated CM risk (only significantly differential exact sequence variants (ESVs) with relative abundance ≥ 1% in at least one group shown.

Abundance in Group 1: increased abundance in CMD

NCBI Quality ControlLinks
Bacteroides
Lachnospiraceae

Revision editor(s): Aleru Divine

Signature 2

Needs review

Curated date: 2024/10/29

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Source: Figure 2D

Description: Specific gut bacterial taxa are differentially abundant (in relative terms) between study sites with and without elevated CM risk (only significantly differential exact sequence variants (ESVs) with relative abundance ≥ 1% in at least one group shown.

Abundance in Group 1: decreased abundance in CMD

NCBI Quality ControlLinks
Streptococcaceae
Prevotella
Clostridiaceae

Revision editor(s): Aleru Divine