Toxic metals impact gut microbiota and metabolic risk in five African-origin populations/Experiment 16

From BugSigDB


Needs review

Curated date: 2025/07/31

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
Non-diabetic (high cadmium exposure)
Group 1 name Corresponds to the case (exposed) group for case-control studies
Diabetic (high cadmium exposure)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Participants diagnosed with T2DM (Type 2 Diabetes Mellitus) within the high cadmium exposure group
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: 2025/07/31

Curator: Anne-mariesharp

Revision editor(s): Anne-mariesharp

Source: Figure 3C

Description: Differential taxa by individual metal exposure and cardiometabolic disease

Abundance in Group 1: increased abundance in Diabetic (high cadmium exposure)

NCBI Quality ControlLinks
Pediococcus
Family XIII AD3011 groupFamily XIII AD3011 group
Rothia mucilaginosa
Neisseria
Rothia
Haemophilus
Collinsella
Intestinimonas
Blautia
Clostridium

Revision editor(s): Anne-mariesharp

Signature 2

Needs review

Curated date: 2025/07/31

Curator: Anne-mariesharp

Revision editor(s): Anne-mariesharp

Source: Figure 3C

Description: Differential taxa by individual metal exposure and cardiometabolic disease

Abundance in Group 1: decreased abundance in Diabetic (high cadmium exposure)

NCBI Quality ControlLinks
Alistipes indistinctus
Colidextribacter
Corynebacterium
Dialister invisus
Enterorhabdus
Lachnospiraceae bacterium NK4A136
Megamonas funiformis
Paraprevotella
Peptococcus
Phocaeicola vulgatus
Streptococcus
Syntrophococcus
Prevotella_9Prevotella_9
UCG 002UCG 002
Prevotella_9 copriPrevotella_9 copri
Christensenellaceae R-7 groupChristensenellaceae R-7 group
Phascolarctobacterium succinatutens

Revision editor(s): Anne-mariesharp