Gut metagenomes of Asian octogenarians reveal metabolic potential expansion and distinct microbial species associated with aging phenotypes/Experiment 1

From BugSigDB


Reviewed Marked as Reviewed by ChiomaBlessing on 2024-11-13

Curated date: 2024/10/20

Curator: MaryAgekameh

Revision editor(s): MaryAgekameh, MyleeeA

Subjects

Location of subjects
Singapore
China
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
Aging ageing,AGING BIOL,Aging, Biological,BIOL AGING,Biological Aging,Senescence,Aging,aging
Group 0 name Corresponds to the control (unexposed) group for case-control studies
61-70 years (Younger Age Group)
Group 1 name Corresponds to the case (exposed) group for case-control studies
71-80 years (Older Age Group)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Participants aged 71-80 years, representing an older age group used to assess age-related changes in the gut microbiome compared to the younger group.
Group 0 sample size Number of subjects in the control (unexposed) group
57
Group 1 sample size Number of subjects in the case (exposed) group
33

Lab analysis

Sequencing type
WMS
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
Not specified
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).
relative abundances
Statistical test
Linear Regression
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

Alpha Diversity

Pielou Quantifies how equal the community is numerically
increased
Shannon Estimator of species richness and species evenness: more weight on species richness
decreased
Simpson Estimator of species richness and species evenness: more weight on species evenness
increased
Richness Number of species
decreased

Signature 1

Reviewed Marked as Reviewed by ChiomaBlessing on 2024-11-13

Curated date: 2024/10/21

Curator: MaryAgekameh

Revision editor(s): MaryAgekameh, MyleeeA

Source: Figure 1E

Description: Microbial taxa Significantly associated with age in 61-70 and 71-80 age groups

Abundance in Group 1: increased abundance in 71-80 years (Older Age Group)

NCBI Quality ControlLinks
Bacteroides
Phocaeicola dorei

Revision editor(s): MaryAgekameh, MyleeeA