Evidence map›Paper›PMID 41693862›Full record

ArticleFrontiers in cellular and infection microbiology2025

Metagenomic and metatranscriptomic profiling of bronchoalveolar lavage fluid identifies microbial and host biomarkers of drug-resistant tuberculosis.

Haiqing Zhang, Limao Zhang, Bin Yang, Chunjing Gao, Huimei Liu, Yunshi Zhang, Xiaoyou Chen

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Haiqing ZhangDepartment of Tuberculosis, Xuzhou Hospital for Infectious Diseases, Xuzhou, Jiangsu, China.
Limao ZhangDepartment of Tuberculosis, Xuzhou Hospital for Infectious Diseases, Xuzhou, Jiangsu, China.
Bin YangCenter for Infectious Diseases, Vision Medicals Co., Ltd, Guangzhou, Guangdong, China.
Chunjing GaoDepartment of Tuberculosis, Xuzhou Hospital for Infectious Diseases, Xuzhou, Jiangsu, China.
Huimei LiuDepartment of Tuberculosis, Xuzhou Hospital for Infectious Diseases, Xuzhou, Jiangsu, China.
Yunshi ZhangDepartment of Science and Education, Xuzhou Hospital for Infectious Diseases, Xuzhou, Jiangsu, China.
Xiaoyou ChenInfectious Diseases Department, Beijing Ditan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Drug-resistant tuberculosis (DR-TB) undermines global TB control, yet how resistant Methods: In a prospective cohort of 130 pulmonary TB patients (49 DR-TB, 81 drug-susceptible TB [DS-TB] patients), bronchoalveolar lavage fluid (BALF) was subjected to paired metagenomic and transcriptomic profiling. Microbial and bacteriophage community structures were assessed by diversity metrics and differential abundance testing, whereas host responses were characterized by gene expression, pathway enrichment, and immune cell deconvolution. A Random Forest model was trained to evaluate the diagnostic potential of host transcriptional signatures. Results: DR-TB airways presented distinct microbial beta diversity, with enrichment of Streptococcus spp. and streptococcal-targeting phages (e.g., Javan variants, phi-Ssu5SJ28rum). Transcriptomic analysis revealed 494 differentially expressed genes, which were associated with increased oxidative phosphorylation, suppressed ion channel and transporter activity, and enrichment of extracellular matrix remodeling pathways. Immune profiling demonstrated a significant reduction in γδ T cells in DR-TB patients (P = 0.0059). An 8-gene host-derived signature ( Conclusion: This dual-omics study defines the airway niche of DR-TB as a convergence of microbial dysbiosis, phage imbalance, and host immune-metabolic dysfunction. By uncovering DR-TB-specific microbial and transcriptional signatures, and deriving a predictive host-based classifier, our findings provide mechanistic insights and highlight novel opportunities for microbiome- and host-directed interventions in drug-resistant tuberculosis.

Indexed as

Bronchoalveolar Lavage FluidGene Expression ProfilingMetagenomicsMycobacterium tuberculosisTuberculosis, Multidrug-ResistantBiomarkersHumansLungMicrobiotaMultiomicsProspective StudiesTranscriptomeBiomarkersdrug resistancehost responsemicrobiomeMycobacterium tuberculosistranscriptomics

Identifiers

PMID41693862
PMCPMC12894345

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.