Metagenomic analysis of the lung microbiome in pulmonary tuberculosis - a pilot study

From BugSigDB
Needs review
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Hu Y, Cheng M, Liu B, Dong J, Sun L, Yang J, Yang F, Chen X, Jin Q
Journal
Emerging microbes & infections
Year
2020
Keywords:
16S rDNA, Lung microbiome, bronchoalveolar lavage, metagenomic analysis, tuberculosis
The lung microbiome plays an important role in the pathophysiological processes associated with pulmonary tuberculosis (PTB). However, only a few studies using 16S rDNA amplicon sequencing have been reported, and the interactions between Mycobacterium tuberculosis (MTB) and the lung microbiome remain poorly understood. Patients with respiratory symptoms and imaging abnormalities compatible with tuberculosis (TB) were enrolled. We analyzed the lung microbiome in bronchoalveolar lavage (BAL) samples from 30 MTB-positive (MTB+) subjects and 30 MTB negative (MTB-) subjects by shotgun metagenomic sequencing. Alpha diversity tended to be lower in the MTB+ group than in the MTB- group. There was a significant difference in beta diversity between the MTB+ and MTB- subjects. MTB+ lung samples were dominated by MTB, while MTB- samples were enriched with Streptococcus, Prevotella, Nesseria, Selenomonas and Bifidobacterium, which more closely resemble the microbial composition of a healthy lung. Network analysis suggested that MTB could greatly impact the microbial community structure. MTB+ and MTB- communities showed distinct functional signatures. Fungal communities were also found to be associated with the presence or absence of MTB. Furthermore, it was confirmed that 16S rDNA amplicon sequencing underrepresents Mycobacterium. This pilot study is the first to explore the interplay between MTB and the host microbiome by using metagenomic sequencing. MTB dominates the lung microbiome of MTB+ subjects, while MTB- subjects have a Streptococcus-enriched microbiome. The 16S approach underrepresents Mycobacterium and is not the best way to study the TB-associated microbiome.

Experiment 1


Needs review

Curated date: 2025/07/05

Curator: Nuerteye

Revision editor(s): Nuerteye

Subjects

Location of subjects
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
Lung Pulmo,Lung,lung
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Pulmonary tuberculosis lung TB,lung tuberculosis,pulmonary TB,pulmonary tuberculosis,Tuberculosis, Pulmonary,Pulmonary tuberculosis
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Mycobacterium tuberculosis (MTB−)
Group 1 name Corresponds to the case (exposed) group for case-control studies
Mycobacterium tuberculosis (MTB+)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Mycobacterium tuberculosis (MTB) detected by smear, culture, PCR, or GeneXpert.
Group 0 sample size Number of subjects in the control (unexposed) group
30
Group 1 sample size Number of subjects in the case (exposed) group
30

Lab analysis

Sequencing type
16S
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
Mann-Whitney (Wilcoxon)
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

Alpha Diversity

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
decreased
Richness Number of species
decreased

Signature 1

Needs review

Curated date: 2025/07/05

Curator: Nuerteye

Revision editor(s): Nuerteye

Source: Figure 2

Description: Average relative taxon abundance comparisons between the MTB+ and MTB- groups at the genus level.

Abundance in Group 1: increased abundance in Mycobacterium tuberculosis (MTB+)

NCBI Quality ControlLinks
Mycobacterium tuberculosis

Revision editor(s): Nuerteye

Signature 2

Needs review

Curated date: 2025/07/05

Curator: Nuerteye

Revision editor(s): Nuerteye

Source: Figure 2

Description: Average relative taxon abundance comparisons between the MTB+ and MTB- groups at the genus level.

Abundance in Group 1: decreased abundance in Mycobacterium tuberculosis (MTB+)

NCBI Quality ControlLinks
Streptococcus
Prevotella
Neisseria
Selenomonas
Bifidobacterium

Revision editor(s): Nuerteye