Gut metagenomes of Asian octogenarians reveal metabolic potential expansion and distinct microbial species associated with aging phenotypes/Experiment 3

From BugSigDB


Reviewed Marked as Reviewed by ChiomaBlessing on 2024-11-14

Curated date: 2024/10/21

Curator: MaryAgekameh

Revision editor(s): MaryAgekameh, MyleeeA

Subjects

Location of subjects
Singapore
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
T2D
Group 1 name Corresponds to the case (exposed) group for case-control studies
SG90
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Dataset of Octogenarians community-living participants (not living in a nursing home, no diagnosis of dementia and not physically unfit) who consented to providing their stool and blood samples (SG90).
Group 0 sample size Number of subjects in the control (unexposed) group
171
Group 1 sample size Number of subjects in the case (exposed) group
213

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


Signature 1

Reviewed Marked as Reviewed by ChiomaBlessing on 2024-11-14

Curated date: 2024/10/23

Curator: MyleeeA

Revision editor(s): MyleeeA

Source: Supplementary Figure 4

Description: Significantly associated with age in the SG90 group compared to T2D

Abundance in Group 1: increased abundance in SG90

NCBI Quality ControlLinks
Alistipes indistinctus
Alistipes onderdonkii
Alistipes senegalensis
Alistipes shahii
unclassified Alistipes
Alistipes communis
Bacteroides xylanisolvens
Phocaeicola dorei
Klebsiella pneumoniae
unclassified Escherichia

Revision editor(s): MyleeeA

Signature 2

Reviewed Marked as Reviewed by ChiomaBlessing on 2024-11-14

Curated date: 2024/10/23

Curator: MyleeeA

Revision editor(s): MyleeeA

Source: Supplementary Figure 4

Description: Significantly associated with age in the SG90 group compared to T2D

Abundance in Group 1: decreased abundance in SG90

NCBI Quality ControlLinks
Bifidobacterium pseudocatenulatum
unclassified Bilophila
Coprococcus comes
Dorea formicigenerans
Dorea longicatena
Faecalibacterium prausnitzii
Agathobacter rectalis
Anaerobutyricum hallii
Lachnospira eligens
Eubacterium ventriosum
Lachnospiraceae bacterium 1_1_57FAA
Lachnospiraceae bacterium 5_1_63FAA
Roseburia hominis
Roseburia inulinivorans
unclassified Megamonas
Roseburia intestinalis
Mediterraneibacter gnavus
Ruminococcus bromii
Ruminococcus callidus
[Ruminococcus] lactaris
Blautia obeum
[Ruminococcus] torques
Ruminococcus sp. 5_1_39BFAA

Revision editor(s): MyleeeA