Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes/Experiment 1

From BugSigDB


Needs review

Curated date: 2025/07/23

Curator: Nuerteye

Revision editor(s): Nuerteye

Subjects

Location of subjects
Taiwan
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
Tuberculosis , Diabetes mellitus active tuberculosis,Kochs disease,TB,tuberculosis,tuberculosis disease,Tuberculosis,Diabetes,diabetes,diabetes mellitus,diabetes mellitus (disease),Diabetes mellitus (disorder),Diabetes mellitus, NOS,Diabetes NOS,DM,DM - Diabetes mellitus,Diabetes mellitus
Group 0 name Corresponds to the control (unexposed) group for case-control studies
poorly-controlled diabetes mellitus (pDM) without latent tuberculosis infection (LTBI)
Group 1 name Corresponds to the case (exposed) group for case-control studies
poorly-controlled diabetes mellitus with latent tuberculosis infection (pDM + LTBI)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
poorly-controlled diabetes mellitus with latent tuberculosis infection (pDM + LTBI)
Group 0 sample size Number of subjects in the control (unexposed) group
87
Group 1 sample size Number of subjects in the case (exposed) group
43

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V3-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).
relative abundances
Statistical test
LEfSe
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
2
Matched on Factors on which subjects have been matched on in a case-control study
age, sex

Alpha Diversity

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

Signature 1

Needs review

Curated date: 2025/07/23

Curator: Nuerteye

Revision editor(s): Nuerteye

Source: Fig. 3A and B

Description: Differential abundance analysis and identification of representative genera as predictive signatures through linear discriminant analysis (LDA) with effect size measurements (LEfSe) analysis and a random forest model to discriminate between patients with poorly controlled diabetes with and without latent tuberculosis infection (LTBI). (A) Significantly different taxa in the cladogram according to a LDA score of ≥ 2 (each circle represents phylogenetic levels from phylum to genus [inside to outside], and each diameter is proportional to the taxon’s abundance). (B) Significantly different genera in terms of relative abundance (LDA score of ≥ 2) between LTBI and non-LTBI groups.

Abundance in Group 1: increased abundance in poorly-controlled diabetes mellitus with latent tuberculosis infection (pDM + LTBI)

NCBI Quality ControlLinks
Eisenbergiella
Ruminococcaceae bacterium UCG-013Ruminococcaceae bacterium UCG-013
Anaerotruncus
Eubacterium xylanophilum
Butyrivibrio
Hydrogenoanaerobacterium
Butyricicoccus
Flavonifractor
Candidatus Soleaferrea sp.
uncultured Muribaculaceae bacterium
uncultured Clostridiales Family XIIIuncultured Clostridiales Family XIII
ProteusProteus
uncultured Rhodospirillalesuncultured Rhodospirillales
Lachnoclostridium
Ruminiclostridium sp.
Blautia
Alistipes
Bacteroides

Revision editor(s): Nuerteye

Signature 2

Needs review

Curated date: 2025/07/23

Curator: Nuerteye

Revision editor(s): Nuerteye

Source: Figure 3A and B

Description: Differential abundance analysis and identification of representative genera as predictive signatures through linear discriminant analysis (LDA) with effect size measurements (LEfSe) analysis and a random forest model to discriminate between patients with poorly controlled diabetes with and without latent tuberculosis infection (LTBI). A) Significantly different taxa in the cladogram according to a LDA score of ≥ 2 (each circle represents phylogenetic levels from phylum to genus [inside to outside], and each diameter is proportional to the taxon’s abundance). B) Significantly different genera in terms of relative abundance (LDA score of ≥ 2) between LTBI and non-LTBI groups.

Abundance in Group 1: decreased abundance in poorly-controlled diabetes mellitus with latent tuberculosis infection (pDM + LTBI)

NCBI Quality ControlLinks
Prevotella 9Prevotella 9
Streptococcus
Actinomyces
Haemophilus
RothiaRothia
Intestinimonas
Acidaminococcus
Muribaculaceae metagenomeMuribaculaceae metagenome

Revision editor(s): Nuerteye