Evidence map›Paper›PMID 41068590›Full record

ArticleBMC microbiology2025

Distinct lung microbiota community states are associated with pulmonary nontuberculous mycobacterial disease prognosis.

Yu Chen, Qing Miao, Rong Bao, Hong Qu, Jiajin Shen, Na Li, Sichun Luan, Xiaoyu Yin, Jue Pan, Bijie Hu

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

10 authors.

Yu Chen *Shanghai Institute of Infectious Disease and Biosecurity, Zhongshan Hospital, Fudan University, Shanghai, China.
Qing Miao *Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Rong BaoDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Hong QuDepartment of infectious diseases and Hepatology, The First People's Hospital of Yunnan Province, Yunnan, China.
Jiajin ShenDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Na LiDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Sichun LuanDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoyu YinDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Jue Pan *Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Bijie Hu *Shanghai Institute of Infectious Disease and Biosecurity, Zhongshan Hospital, Fudan University, Shanghai, China. hubijie_zshospital@163.com.

Funding

Zhongshan Hospital 2023ZSLC24
6 · The paper itself

Abstract

backgroundThe incidence of nontuberculous mycobacterial pulmonary disease (PNTM) is rising, but the available treatments have limitations. Currently, the understanding of the ecology of the airway microbiota in PNTM is limited, especially regarding community structure, dynamics, and their relationship with clinical outcomes.

methodsWe used metagenomic sequencing to characterize the lung microbiota in bronchoalveolar lavage fluid (BALF). We evaluated the prognosis of patients with PNTM through respiratory specimen cultures and chest CT scans.

resultsPNTM exhibit distinct airway microbiota characteristics compared to controls, however, no significant differences were observed in NTM species. A Dirichlet multinomial mixture model was used to identify two distinct community types (pneumotypes) and investigate their association with host immunity and prognosis. At the 13-month median follow-up, pneumotype 1 (including Mycobacterium, opportunistic pathogens, and anaerobes) presented a lower probability of sustained culture conversion (hazard ratio = 0.29; 95% confidence interval = 0.12-0.73; P = 0.009) than pneumotype 2, indicating a worse prognosis. Based on microbial community abundance and interactions, Ralstonia (NetMoss score = 1.0; log2FoldChange = 3.6) and Dolosigranulum (NetMoss score = 0.6; log2FoldChange = 1.4) emerged as prominent taxa associated with the shift from pneumotype 1 to pneumotype 2, which correlated with differences in clinical outcomes.

conclusionOur research indicates that distinct baseline microbial characteristics in PNTM patients are associated with prognosis. Furthermore, we identified candidate microbes driving changes in the PNTM microbial community state, serving as potential therapeutic targets.

Indexed as

LungMicrobiotaMycobacterium Infections, NontuberculousNontuberculous MycobacteriaAdultAgedBacteriaBronchoalveolar Lavage FluidFemaleHumansMaleMetagenomicsMiddle AgedPrognosisLung microbiotaMetagenomic sequencingNontuberculous mycobacterial pulmonary diseasePneumotype

Identifiers

PMID41068590
PMCPMC12512908

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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.