Pathogenic profiles and lower respiratory tract microbiota in severe pneumonia patients using metagenomic next-generation sequencing
mNGS can be used to effectively identify pathogenic pathogens or lower respiratory microbiome associated with pulmonary infectious diseases, playing a crucial role in the early and accurate diagnosis of these conditions. Based on the findings of this study, it is possible that a novel set of biomarkers and predictive models could be developed in the future to efficiently identify the cause and prognosis of patients with severe pneumonia.
Authors
- Zhenshan Du
- Xu Han (ORCID: https://orcid.org/0000-0001-7838-927X)
- Xinjie Han
- Chen Yao (ORCID: https://orcid.org/0000-0002-6009-3208)
- Pengfei Liu (ORCID: https://orcid.org/0000-0001-8709-0771)
- Zidan Liu
- Minlong Zhang (ORCID: https://orcid.org/0000-0002-6900-3790)
- Kun Xiao (ORCID: https://orcid.org/0000-0002-8039-3283)
- Jianqiao Xu (ORCID: https://orcid.org/0000-0002-8608-8052)
- Peng Ma (ORCID: https://orcid.org/0000-0002-8000-9042)
- Weijia Wang
- Lixin Xie (ORCID: https://orcid.org/0000-0002-1091-2041)
- Chang Liu (ORCID: https://orcid.org/0000-0002-6371-6976)
- Ruotong Ren (ORCID: https://orcid.org/0000-0003-4205-9767)
- Yaxing Yi
- Xiaoyun Meng
Institutions
- Chinese Academy of Sciences (CN)
- Nankai University (CN)
- Chinese PLA General Hospital (CN)
- Institute of Biophysics (CN)
- PLA Academy of Military Science (CN)
Publication Details
- Journal
- Advanced Biotechnology
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1007/s44307-025-00064-w
- Citations
- 1
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Science Foundation