Toxic metals impact gut microbiota and metabolic risk in five African-origin populations/Experiment 25

From BugSigDB


Needs review

Curated date: 2025/08/05

Curator: Anne-mariesharp

Revision editor(s): Anne-mariesharp

Subjects

Location of subjects
Ghana
Jamaica
Seychelles
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
Metabolic toxicity Metabolic toxicity,metabolic toxicity
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Low diastolic blood pressure
Group 1 name Corresponds to the case (exposed) group for case-control studies
High diastolic blood pressure
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Participants with high diastolic blood pressure
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
3 months

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).
arcsine square-root
Statistical test
MaAsLin2
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, sex, Confounders controlled for: "site" 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.site


Signature 1

Needs review

Curated date: 2025/08/05

Curator: Anne-mariesharp

Revision editor(s): Anne-mariesharp

Source: Figure 5A

Description: Top 50 taxa associated with all high metal exposures and cardiometabolic factors

Abundance in Group 1: increased abundance in High diastolic blood pressure

NCBI Quality ControlLinks
Akkermansia muciniphila
Holdemania massiliensis
Howardella ureilytica
Intestinimonas butyriciproducens
Rothia mucilaginosa
[Clostridium] innocuum
Prevotella_7Prevotella_7
Prevotella_9Prevotella_9
UCG 005UCG 005
Tyzzerella
Megasphaera micronuciformis

Revision editor(s): Anne-mariesharp

Signature 2

Needs review

Curated date: 2025/08/05

Curator: Anne-mariesharp

Revision editor(s): Anne-mariesharp

Source: Figure 5A

Description: Top 50 taxa associated with all high metal exposures and cardiometabolic factors

Abundance in Group 1: decreased abundance in High diastolic blood pressure

NCBI Quality ControlLinks
Anaerostipes hadrus
Bacteria incertae sedis
Dialister
Enterorhabdus
Streptococcus
Family XIII AD3011 groupFamily XIII AD3011 group
Thomasclavelia
Leuconostoc
Clostridium
Peptococcus

Revision editor(s): Anne-mariesharp