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Pseudomonas aeruginosa-driven airway dysbiosis and machine learning prediction of acute exacerbations in non-cystic fibrosis bronchiectasis: a microbial-inflammatory signature approach

Crossref DOI link: https://doi.org/10.1186/s12890-025-03892-7

Published Online: 2025-09-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Wen-Wen

Wang, Yu-Han

Xu, Jian

Song, Yuan-Lin

Xu, Jin-Fu
Funding

Funding for this research was provided by:

National Natural Science Fund for Distinguished Young Scholars (81925001)
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Text and Data Mining valid from 2025-09-01

Version of Record valid from 2025-09-01
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Article History

Received: 28 April 2025

Accepted: 1 August 2025

First Online: 1 September 2025

Declarations

:

: The study was approved by the Ethics Committee of Shanghai Pulmonary Hospital, School of Medicine, Tongji University (approval number K19-144) and conducted in accordance with the Helsinki Declaration. Written informed consent was obtained from all participants prior to the collection of samples and clinical data.

: Not applicable.

: The authors declare no competing interests.

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