Co-occurrence network analysis reveals novel associations between the neonatal airway microbiome and bronchopulmonary dysplasia risk: an observational, population-based study

Bronchopulmonary dysplasia (BPD) remains the most common chronic lung disease in preterm infants. While its pathogenesis is incompletely understood, the role of the early respiratory microbe is increasingly recognized. Previous studies have largely focused on individual pathogenic taxa, overlooking the complex ecological interactions within microbial communities. Our analysis reveals that the architecture of microbial co-occurrence networks in the neonatal airway varies significantly with BPD severity. Notably, network complexity decreased markedly as BPD severity increased. We identified specific keystone taxa uniquely associated with disease outcomes, suggesting that microbial ecosystem stability rather than individual species may be a critical factor in BPD pathogenesis. These findings shift the focus from single microbes to the stability of the microbial ecosystem as a novel risk factor for severe BPD, offering new avenues for risk stratification and early intervention.

Authors

Institutions

Publication Details

Journal
mSphere
Published
2026-02-03
DOI
https://doi.org/10.1128/msphere.00857-25
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Co-occurrence network analysis reveals novel associations between the neonatal airway microbiome and bronchopulmonary dysplasia risk: an observational, population-based study

Lian Wang, X. Sheldon Lin, Yu-Chun Lin, Qian Zhang et al.
mSphere
Gut microbiota and health
article

Co-occurrence network analysis reveals novel associations between the neonatal airway microbiome and bronchopulmonary dysplasia risk: an observational, population-based study

Lian Wang, X. Sheldon Lin, Yu-Chun Lin, Qian Zhang, Liang Gao, Kunyao Hong, Yingying Qiu, Yulin Zhou, Wei Shen
article en

Abstract

Bronchopulmonary dysplasia (BPD) remains the most common chronic lung disease in preterm infants. While its pathogenesis is incompletely understood, the role of the early respiratory microbe is increasingly recognized. Previous studies have largely focused on individual pathogenic taxa, overlooking the complex ecological interactions within microbial communities. Our analysis reveals that the architecture of microbial co-occurrence networks in the neonatal airway varies significantly with BPD severity. Notably, network complexity decreased markedly as BPD severity increased. We identified specific keystone taxa uniquely associated with disease outcomes, suggesting that microbial ecosystem stability rather than individual species may be a critical factor in BPD pathogenesis. These findings shift the focus from single microbes to the stability of the microbial ecosystem as a novel risk factor for severe BPD, offering new avenues for risk stratification and early intervention.

mSphereVol. 11(2)
Xiamen University (CN), Perinatal Institute (GB), Children’s Hospital of Fudan University Xiamen Branch (CN), Xiamen Maternal and Child Health Hospital (CN)
Good health and well-being
Openalex Percentile: Top 70%
Gut microbiota and health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Co-occurrence network analysis reveals novel associations between the neonatal airway microbiome and bronchopulmonary dysplasia risk: an observational, population-based study — Lian Wang, X. Sheldon Lin, et al. · mSphere (2026) | TGRS Research Map | TGRS