Evidence map›Paper›PMID 39143556›Full record

Observational studyRespiratory research2024

The clinical impacts of lung microbiome in bronchiectasis with fixed airflow obstruction: a prospective cohort study.

Yen-Fu Chen, Hsin-Han Hou, Ning Chien, Kai-Zen Lu, Chieh-Hua Lin, Yu-Chieh Liao, Kuo-Lung Lor, Jung-Yien Chien, Chung-Ming Chen, Chung-Yu Chen and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Bronchiectasis in children: a systematic review of cytokine profile, immune cell phenotypes and microbiota in bronchoalveolar lavage fluid.European respiratory review : an official journal of the European Respiratory Society · 2026
    Pooled it
  3. Review
  4. Review
  5. Article
  6. Review
  7. Precise pathogen detection and clinical characterization of bronchiectasis.Frontiers in cellular and infection microbiology · 2025
    Article
  8. Review
  9. Article
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

14 authors.

Yen-Fu ChenDepartment of Internal Medicine, National Taiwan University Hospital, Yun-Lin Branch, Yunlin County, Taiwan.
Hsin-Han HouGraduate Institute of Oral Biology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Ning ChienDepartment of Medical Imaging, National Taiwan University Cancer Center, Taipei, Taiwan.
Kai-Zen LuDepartment of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
Chieh-Hua LinBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Yu-Chieh LiaoInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, 350, Taiwan.
Kuo-Lung LorDepartment of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
Jung-Yien ChienGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, 7 Chung-Shan South Road, Taipei, 100, Taiwan (ROC).
Chung-Ming ChenDepartment of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
Chung-Yu ChenDepartment of Internal Medicine, National Taiwan University Hospital, Yun-Lin Branch, Yunlin County, Taiwan.
Shih-Lung ChengDivision of Thoracic Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Hao-Chien WangDepartment of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
Po-Ren HsuehDepartment of Laboratory Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
Chong-Jen YuGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, 7 Chung-Shan South Road, Taipei, 100, Taiwan (ROC). jefferycjyu@ntu.edu.tw.

Funding

Ministry of Science and Technology, Taiwan MOST 107-2314-B-002-235-MY3National Taiwan University Hospital, Yun-Lin Branch, Taiwan NTUHYL109. X011
6 · The paper itself

Abstract

backgroundAirflow obstruction is a hallmark of disease severity and prognosis in bronchiectasis. The relationship between lung microbiota, airway inflammation, and outcomes in bronchiectasis with fixed airflow obstruction (FAO) remains unclear. This study explores these interactions in bronchiectasis patients, with and without FAO, and compares them to those diagnosed with chronic obstructive pulmonary disease (COPD).

methodsThis prospective observational study in Taiwan enrolled patients with either bronchiectasis or COPD. To analyze the lung microbiome and assess inflammatory markers, bronchoalveolar lavage (BAL) samples were collected for 16S rRNA gene sequencing. The study cohort comprised 181 patients: 86 with COPD, 46 with bronchiectasis, and 49 with bronchiectasis and FAO, as confirmed by spirometry.

resultsPatients with bronchiectasis, with or without FAO, had similar microbiome profiles characterized by reduced alpha diversity and a predominance of Proteobacteria, distinctly different from COPD patients who exhibited more Firmicutes, greater diversity, and more commensal taxa. Furthermore, compared to COPD and bronchiectasis without FAO, bronchiectasis with FAO showed more severe disease and a higher risk of exacerbations. A significant correlation was found between the presence of Pseudomonas aeruginosa and increased airway neutrophilic inflammation such as Interleukin [IL]-1β, IL-8, and tumor necrosis factor-alpha [TNF]-α, as well as with higher bronchiectasis severity, which might contribute to an increased risk of exacerbations. Moreover, in bronchiectasis patients with FAO, the ROSE (Radiology, Obstruction, Symptoms, and Exposure) criteria were employed to classify individuals as either ROSE (+) or ROSE (-), based on smoking history. This classification highlighted differences in clinical features, inflammatory profiles, and slight microbiome variations between ROSE (-) and ROSE (+) patients, suggesting diverse endotypes within the bronchiectasis with FAO group.

conclusionBronchiectasis patients with FAO may exhibit two distinct endotypes, as defined by ROSE criteria, characterized by greater disease severity and a lung microbiome more similar to bronchiectasis without FAO than to COPD. The significant correlation between Pseudomonas aeruginosa colonization and increased airway neutrophilic inflammation, as well as disease severity, underscores the clinical relevance of microbial patterns. This finding reinforces the potential role of these patterns in the progression and exacerbations of bronchiectasis with FAO.

Indexed as

BronchiectasisLungMicrobiotaAgedCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesPulmonary Disease, Chronic ObstructiveTaiwanBronchiectasisBronchoalveolar lavageCOPDFixed airflow obstructionLung microbiotaNeutrophilic inflammationROSE criteria

Identifiers

PMID39143556
PMCPMC11325704

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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.