Evidence map›Paper›PMID 40337776›Full record

ArticleInfection and drug resistance2025

Comprehensive Analysis of Pathogen Diversity and Diagnostic Biomarkers in Patients with Suspected Pulmonary Tuberculosis Through Metagenomic Next-Generation Sequencing.

Yuecui Li, Chenghang Li, Yu Fang, LiLi Zhang, Xiaoyan Ying, Ruotong Ren, Yinghui Zang, Dandan Ying, Shengwei Zhu, Jiao Liu and 1 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yuecui Li *Department of Infectious Disease, The First People's Hospital of Yongkang, affiliated to Hangzhou Medical College, Jinhua, People's Republic of China.
Chenghang Li *Department of Infectious Disease, The First People's Hospital of Yongkang, affiliated to Hangzhou Medical College, Jinhua, People's Republic of China.
Yu Fang *Zhejiang Key Laboratory of Digital Technology in Medical Diagnostics, Hangzhou, People's Republic of China.
LiLi ZhangDepartment of Infectious Disease, The First People's Hospital of Yongkang, affiliated to Hangzhou Medical College, Jinhua, People's Republic of China.
Xiaoyan YingDepartment of Infectious Disease, The First People's Hospital of Yongkang, affiliated to Hangzhou Medical College, Jinhua, People's Republic of China.
Ruotong RenMatriDx Biotechnology Co., Ltd, Hangzhou, People's Republic of China.ORCID 0000-0003-4205-9767
Yinghui ZangDepartment of Infectious Disease, The First People's Hospital of Yongkang, affiliated to Hangzhou Medical College, Jinhua, People's Republic of China.
Dandan YingDepartment of Infectious Disease, The First People's Hospital of Yongkang, affiliated to Hangzhou Medical College, Jinhua, People's Republic of China.
Shengwei ZhuDepartment of Infectious Disease, The First People's Hospital of Yongkang, affiliated to Hangzhou Medical College, Jinhua, People's Republic of China.
Jiao LiuDepartment of Infectious Disease, The First People's Hospital of Yongkang, affiliated to Hangzhou Medical College, Jinhua, People's Republic of China.
Xuefang CaoMatriDx Biotechnology Co., Ltd, Hangzhou, People's Republic of China.ORCID 0000-0002-1633-4895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to investigate the co-infecting pathogens and lung microbiomes in patients with clinically confirmed pulmonary tuberculosis (TB) and explore potential diagnostic biomarkers to differentiate between varied infection patterns. Methods: We conducted a retrospective cohort study by analyzing 198 bronchoalveolar lavage fluid (BALF) samples collected from patients with suspected pulmonary TB. All BALF samples were sequenced using metagenomic next-generation sequencing (mNGS). Results: A total of 63 pathogens were detected in all samples. The TB group exhibited a higher diversity of pathogens (n=51) than the Non-TB group (n=37). The analysis revealed that TB patients had significantly higher pathogen counts ( Conclusion: Our findings highlight the complexity of co-infection patterns in pulmonary TB and emphasize the potential of integrating microbial and clinical markers to improve diagnostic accuracy. This study provides valuable insights into the role of the lung microbiome in TB and informs future research on targeted therapies for this disease.

Indexed as

biomarkersbronchoalveolar lavage fluidlung microbiomemetagenomic next-generation sequencingtuberculosis

Identifiers

PMID40337776
PMCPMC12056525

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Registered trials

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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.