The clinical value of metagenomic next-generation sequencing in the diagnosis of pulmonary tuberculosis and the exploration of lung microbiota characteristics

The lung microbiota plays a critical role in many important physiological processes and is linked with various pulmonary infectious diseases. The present study aimed to characterize the lung microbiota in patients with pulmonary tuberculosis (PTB), and to explore the association between the abundance of Mycobacterium tuberculosis complex (MTBC) and the lung microbiota. This retrospective study included 190 patients with MTBC infection. The enrolled patients were classified into three groups based on the abundance results of bronchoalveolar lavage fluid (BALF) mNGS: low [reads per ten million (RPTM) = 1 ~ 1000], medium (RPTM = 1001 ~ 10000) and high (RPTM > 10000). In the high-abundance group, there were more bilateral lobar involvement and symptoms of cavitation. In addition to mNGS, the highest positivity rates were T-spot (92.36%), GeneXpert (71.58%), culture (68.95%) and AFB smear (17.84%). The positive rates of culture, AFB smear and GeneXpert increased with the increase of MTBC abundance, and the positive rates were highest in the high-abundance MTBC group. Both the alpha and beta diversity showed significant difference between the three groups, with the high-abundance MTBC groups showed lowest alpha diversity. The increased abundance of MTBC positively associated with the longer time of hospital stay. To sum up, the lung microbiota of patients with PTB were significantly distinct between groups with different abundant levels of MTBC. Combined with imaging features, a high abundance of MTBC suggests the patient is more severely ill and has a poorer prognosis.

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Publication Details

Journal
Scientific Reports
Published
2025-04-12
DOI
https://doi.org/10.1038/s41598-025-91520-z
Citations
4
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
5.58

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article

The clinical value of metagenomic next-generation sequencing in the diagnosis of pulmonary tuberculosis and the exploration of lung microbiota characteristics

Yuxin Guo, Xiaojing Zhang, Yuanyuan Chen, Lihong Zhou et al.
4 citations
Scientific Reports
Tuberculosis Research and Epidemiology
5.58
article

The clinical value of metagenomic next-generation sequencing in the diagnosis of pulmonary tuberculosis and the exploration of lung microbiota characteristics

Yuxin Guo, Xiaojing Zhang, Yuanyuan Chen, Lihong Zhou, Wei Gai, Xiaoqin Ran, Yong Yan
article en
4 citations

Abstract

The lung microbiota plays a critical role in many important physiological processes and is linked with various pulmonary infectious diseases. The present study aimed to characterize the lung microbiota in patients with pulmonary tuberculosis (PTB), and to explore the association between the abundance of Mycobacterium tuberculosis complex (MTBC) and the lung microbiota. This retrospective study included 190 patients with MTBC infection. The enrolled patients were classified into three groups based on the abundance results of bronchoalveolar lavage fluid (BALF) mNGS: low [reads per ten million (RPTM) = 1 ~ 1000], medium (RPTM = 1001 ~ 10000) and high (RPTM > 10000). In the high-abundance group, there were more bilateral lobar involvement and symptoms of cavitation. In addition to mNGS, the highest positivity rates were T-spot (92.36%), GeneXpert (71.58%), culture (68.95%) and AFB smear (17.84%). The positive rates of culture, AFB smear and GeneXpert increased with the increase of MTBC abundance, and the positive rates were highest in the high-abundance MTBC group. Both the alpha and beta diversity showed significant difference between the three groups, with the high-abundance MTBC groups showed lowest alpha diversity. The increased abundance of MTBC positively associated with the longer time of hospital stay. To sum up, the lung microbiota of patients with PTB were significantly distinct between groups with different abundant levels of MTBC. Combined with imaging features, a high abundance of MTBC suggests the patient is more severely ill and has a poorer prognosis.

Scientific ReportsVol. 15(1)
Tianjin Economic-Technological Development Area (CN), Integrated Chinese Medicine (China) (HK)
National Natural Science Foundation of China
Good health and well-being, Zero hunger
Openalex Percentile: Top 4%
Tuberculosis Research and Epidemiology
5.58
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