Evidence map›Paper›PMID 41612472›Full record

ArticleEuropean journal of medical research2026

Airway microbiome dysbiosis in severe pneumonia: metagenomic evidence of pathogen expansion and commensal depletion.

Yuhan Wang, Yao Shen, Jie Shen, Jing Bi, Jian Xu, Tianchang Wei, Ruilan Wang, Xueling Wu, Feng Li, Jianwen Bai and 3 more

Abstract read
In one paragraph

Article in European journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. First Report ofMicroorganisms · 2026
    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

13 authors.

Yuhan WangShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Yao ShenDepartment of Respiratory Medicine, Pudong Hospital, Fudan University, Shanghai, China.
Jie ShenDepartment of Critical Care Medicine, Medical Research Center of Chemical Injury, Jinshan Hospital, Fudan University, Shanghai, China.
Jing BiShanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Jian XuShanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Tianchang WeiShanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Ruilan WangDepartment of Critical Care Medicine, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.
Xueling WuDepartment of Respiratory Medicine, School of Medicine, Renji Hospital, Shanghai Jiaotong University, Shanghai, China.
Feng LiDepartment of Respiratory Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Jianwen BaiDepartment of Emergency Medicine and Critical Care, School of Medicine, Shanghai East Hospital, Tongji University, Shanghai, 200092, China.
Zhijun JieDepartment of Pulmonary and Critical Care Medicine, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Dongni HouShanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China. hou.dongni@zs-hospital.sh.cn.
Yuanlin SongShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China. ylsong70@163.com.

Funding

National Key Research and Development Program of China 2024YFC3044400National Natural Science Foundation of China 82130001R&D Program of Guangzhou National Laboratory GZNL2024A02003Science and Technology Commission of Shanghai Municipality 22Y11900800Shanghai Municipal Key Clinical Specialty shslczdzk02201Shanghai Municipal Science and Technology Major Project ZD2021CY001Shanghai Three-year Action Plan to Strengthen the Construction of Public Health System GWVI-11.1-18The Construction of Multi-Disciplinary Treatment System for Severe Pneumonia W2020-013
6 · The paper itself

Abstract

backgroundThe pulmonary microbiome is increasingly recognized as a key determinant of pneumonia severity, yet its clinical implications remain incompletely understood. Disruption of microbial ecology, or dysbiosis, may impair host immune responses and exacerbate disease progression. This study aimed to characterize microbiome alterations associated with severe pneumonia and their correlation with host inflammatory and coagulative parameters.

methodsIn this multicenter, prospective observational cohort study conducted across nine hospitals in Shanghai (2021-2025), bronchoalveolar lavage fluid (BALF) samples from 306 patients with clinically diagnosed pulmonary infections were analyzed using metagenomic next-generation sequencing (mNGS). Patients were stratified into severe (n = 196) and non-severe (n = 110) groups using WHO-derived severe pneumonia criteria at the time of bronchoalveolar lavage (BAL). Microbial taxonomic profiles, diversity indices, co-occurrence networks, and correlations with clinical markers were comprehensively assessed using standard bioinformatic and statistical approaches.

resultsSevere pneumonia was associated with marked microbial dysbiosis, including reorganization of co-occurrence network topology with centrality shifting away from commensals toward opportunistic taxa in severe disease, characterized by reduced α-diversity, altered β-diversity, and enrichment of opportunistic Gram-negative pathogens including Acinetobacter and Klebsiella. In contrast, commensals such as Rothia and Prevotella were depleted. Co-occurrence network analysis revealed fragmentation of microbial interactions in severe cases, with centrality shifting from commensals to opportunists like Corynebacterium striatum. Shannon diversity negatively correlated with SOFA scores, and specific taxa positively associated with systemic inflammation (CRP, PCT) and coagulation abnormalities. Nearly all samples demonstrated polymicrobial infection, with distinct microbial patterns observed across monomicrobial and polymicrobial subgroups.

conclusionOur multicenter observational analysis suggests that severe pneumonia is associated with marked ecological disruption of the lower-airway microbiome, characterized by commensal loss, opportunist expansion, and fragmented interspecies networks, and with concurrent inflammatory and coagulative abnormalities. These hypothesis-generating findings warrant external validation in independent, multi-region cohorts and longitudinal sampling to test directionality and causality before informing clinical decision-making.

Indexed as

Airway microbiomeMetagenomic next-generation sequencingMicrobial compositionMicrobial dysbiosisPneumonia severityPulmonary infection

Identifiers

PMID41612472
PMCPMC12924258

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.