Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning

Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning

Abstract Background The aim of this study was to explore the microbial variations and biomarkers in the oral environment of patients with persistent pulmonary nodules (pPNs) and to reveal the potential biological functions of the salivary microbiota in pPNs. Materials and methods This study included...

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Bibliographic Details
Main Authors: Xiao Zeng, Qiong Ma, Chun-Xia Huang, Jun-Jie Xiao, Xi Fu, Yi-Feng Ren, Yu-Li Qu, Hong-Xia Xiang, Mao Lei, Ru-Yi Zheng, Yang Zhong, Ping Xiao, Xiang Zhuang, Feng-Ming You, Jia-Wei He
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Journal of Translational Medicine
Subjects:
Biomakers
Persistent pulmonary nodules
Machine learning
Lung cancer
Microbiota
16S rRNA sequencing
Online Access:https://doi.org/10.1186/s12967-024-05802-7
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