Microbiome Alteration in Lung Tissues of Tuberculosis Patients Revealed by Metagenomic Next-Generation Sequencing and Immune-Related Transcriptional Profile Identified by Transcriptome Sequencing

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
Liu H, Ji S, Fang Y, Yi X, Wu F, Xing F, Wang C, Zhou H, Xu J, Sun W
Journal
ACS infectious diseases
Year
2023
Keywords:
mNGS, microbiome, transcriptional profile, transcriptome sequencing, tuberculosis
This study explored alterations in the respiratory microbiome and transcriptome after Mycobacterium tuberculosis infection in tuberculosis (TB) patients. Metagenomic next-generation sequencing (mNGS) was adopted to reveal the microbiome in lung tissues from 110 TB and 25 nontuberculous (NonTB) patients. Transcriptome sequencing was performed in TB tissues (n = 3), tissues adjacent to TB (ParaTB, n = 3), and NonTB tissues (n = 3) to analyze differentially expressed genes (DEGs) and functional pathways. The microbial β diversity (p = 0.01325) in TB patients differed from that in the NonTB group, with 17 microbial species distinctively distributed. Eighty-three co-up-regulated DEGs were identified in the TB versus NonTB and the TB versus ParaTB comparison groups, and six were associated with immune response to Mtb. These DEGs were significantly enriched in the signaling pathways such as immune response, NF-κB, and B cell receptor. Data in the lung tissue microbiome and transcriptome in TB patients offer a sufficient understanding of the pathogenesis of TB.

Experiment 1


Needs review

Curated date: 2025/07/20

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
patients with Non-tuberculosis
Group 1 name Corresponds to the case (exposed) group for case-control studies
patients with tuberculosis
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Mtb-positive in the bacteriological examination, including sputum smear or sputum culture, mNGS, acid-fast staining, T-spot, adenosine deaminase, PCR, and interferon-gamma release assay; clinical manifestations such as constitutional symptoms and imaging manifestations; improvement following initiation of anti-TB therapy.
Group 0 sample size Number of subjects in the control (unexposed) group
25
Group 1 sample size Number of subjects in the case (exposed) group
110

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
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

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Chao1 Abundance-based estimator of species richness
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
unchanged
Inverse Simpson Modification of Simpsons index D as 1/D to obtain high values in datasets of high diversity and vice versa
unchanged

Signature 1

Needs review

Curated date: 2025/07/20

Curator: Nuerteye

Revision editor(s): Nuerteye

Source: Figure 2C

Description: Microbial distribution in lung tissues of TB and NonTB patients. LEfSe analyses were performed to determine the microbial features with significant differences in the relative abundance.

Abundance in Group 1: increased abundance in patients with tuberculosis

NCBI Quality ControlLinks
Pseudomonas pharmacofabricaePseudomonas pharmacofabricae
Enterobius vermicularisEnterobius vermicularis
Delftia tsuruhatensis
Streptosporangium violaceochromogenes
Actinomadura cremeaActinomadura cremea
Micobacterium saperdaeMicobacterium saperdae

Revision editor(s): Nuerteye

Signature 2

Needs review

Curated date: 2025/07/20

Curator: Nuerteye

Revision editor(s): Nuerteye

Source: Figure 2C

Description: Microbial distribution in lung tissues of TB and NonTB patients. LEfSe analyses were performed to determine the microbial features with significant differences in the relative abundance.

Abundance in Group 1: decreased abundance in patients with tuberculosis

NCBI Quality ControlLinks
Fusobacterium nucleatum
Prevotella melaninogenica
Ralstonia insidiosa
Paracoccus versutusParacoccus versutus
Stenotrophomonas tumulicolaStenotrophomonas tumulicola
Staphylococcus haemolyticus
Bradyrhizobium brasilenceBradyrhizobium brasilence
Afipia clevelandensisAfipia clevelandensis
Bradyrhizobium embrapenseBradyrhizobium embrapense
Rhizobium oryzihabitansRhizobium oryzihabitans
Methylorubrum populi

Revision editor(s): Nuerteye