Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning
This study highlights the potential clinical applications of the salivary microbiota for enable earlier detection and targeted interventions, offering significant promise for advancing clinical management and improving patient outcomes in pPNs.
Authors
- Ruyi Zheng
- Junjie Xiao (ORCID: https://orcid.org/0000-0002-9202-0003)
- Qiong Ma
- Ping Xiao (ORCID: https://orcid.org/0000-0001-5678-501X)
- Fengming You (ORCID: https://orcid.org/0000-0001-7900-4060)
- Hongxia Xiang
- Yifeng Ren (ORCID: https://orcid.org/0000-0003-2976-4250)
- Xi Fu (ORCID: https://orcid.org/0000-0001-9530-8478)
- Zhong Yang (ORCID: https://orcid.org/0000-0002-9113-9635)
- Xiang Zhuang (ORCID: https://orcid.org/0000-0002-0253-1476)
- Yingming Qu (ORCID: https://orcid.org/0000-0003-4262-5642)
- Chunxia Huang (ORCID: https://orcid.org/0000-0002-3610-6400)
- Lei Mao (ORCID: https://orcid.org/0009-0002-3004-7195)
- Jiawei He
- Xiao Zeng
Institutions
- University of Electronic Science and Technology of China (CN)
- Sichuan Cancer Hospital (CN)
- Second Affiliated Hospital of Chengdu University of Traditional Chinese (CN)
- Chengdu University of Traditional Chinese Medicine (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1186/s12967-024-05802-7
- Citations
- 7
- Primary Topic
- Salivary Gland Disorders and Functions
- Type
- article
- Field-Weighted Citation Impact
- 2.29
Funders
- China Postdoctoral Science Foundation
- Sichuan Provincial Administration of Traditional Chinese Medicine
- Natural Science Foundation of Sichuan Province