Predicting the Role of the Human Gut Microbiome in Constipation Using Machine-Learning Methods: A Meta-Analysis/Experiment 1

From BugSigDB


Reviewed Marked as Reviewed by Svetlana up on 2025-4-9

Curated date: 2025/04/01

Curator: Nithya

Revision editor(s): Nithya, Anne-mariesharp, KateRasheed

Subjects

Location of subjects
Australia
China
Poland
United Kingdom
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
Constipation Constipation,Costiveness,Dyschezia,constipation
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Healthy controls
Group 1 name Corresponds to the case (exposed) group for case-control studies
Constipation patients
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Patients clinically diagnosed of constipation by evaluating the stool form and the associated persistent bowel symptoms, such as the Bristol Stool Form Scale and the Rome IV criteria
Group 0 sample size Number of subjects in the control (unexposed) group
2138
Group 1 sample size Number of subjects in the case (exposed) group
918

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
Not specified

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
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)?
No

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
increased
Chao1 Abundance-based estimator of species richness
increased
Richness Number of species
unchanged
Faith Phylogenetic diversity, takes into account phylogenetic distance of all taxa identified in a sample
increased

Signature 1

Reviewed Marked as Reviewed by Svetlana up on 2025-4-9

Curated date: 2025/04/02

Curator: Nithya

Revision editor(s): Nithya, Anne-mariesharp, KateRasheed

Source: Figure 4D

Description: The balance selected genera that significantly differed between the two groups

Abundance in Group 1: increased abundance in Constipation patients

NCBI Quality ControlLinks
Agathobacter
Alloscardovia
Brachybacterium
Caulobacter
Eremococcus
Parolsenella
Rahnella
uncultured Oscillospiraceae bacterium
Lachnospiraceae

Revision editor(s): Nithya, Anne-mariesharp, KateRasheed

Signature 2

Reviewed Marked as Reviewed by Svetlana up on 2025-4-9

Curated date: 2025/04/02

Curator: Nithya

Revision editor(s): Nithya, Anne-mariesharp

Source: Figure 4D

Description: The balance selected genera that significantly differed between the two groups

Abundance in Group 1: decreased abundance in Constipation patients

NCBI Quality ControlLinks
Anaerosporobacter
Bacillota
Caproiciproducens
Desulfovibrionaceae
Dorea
Eggerthellaceae
Flavonifractor
Gammaproteobacteria
Puniceicoccaceae
Lachnospiraceae NK3A20 groupLachnospiraceae NK3A20 group

Revision editor(s): Nithya, Anne-mariesharp