ArticleJournal of translational medicine2024
Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- 16S rRNA gene sequencing reveals distinct intratumoral bacterial microbiome signatures between CT indeterminate benign and early-stage malignant pulmonary lesions.Journal of translational medicine · 2026Article
- [Comparative analysis of microbial communities in different oral ecological niches of preschool children].Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2026Article
- Association between the oral microbiome and clinical indicators of resectable non-small cell lung cancer (NSCLC).Journal of oral microbiology · 2026Article
- The oral-lung axis in lung cancer: microbial translocation, immune reprogramming, and clinical implications.Frontiers in immunology · 2026Review
- Interactions between upper respiratory microbiota and psychological distress in pulmonary nodule patients: a retrospective nested case-control study based on machine learning and exploratory mediation analysis.International journal of surgery (London, England) · 2025Article
- Integrated salivary microbiome and metabolome profiling reveals ecological and functional alterations in severe early childhood caries.Journal of translational medicine · 2025Article
- MicroSTNet: a spatio-temporal graph-based framework for time-series microbiome analysis.Microbial genomics · 2025Article
- Interpretive prediction of hyperuricemia and gout patients via machine learning analysis of human gut microbiome.BMC microbiology · 2025Article
- Crosstalk Between Oral Microbiome and Cancer: Emerging Trends and Insights.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025Article
- Effects of herbal medicine on clinical characteristics and biological markers in pulmonary pure ground-glass nodules: study protocol for a multicenter randomized triple-blind controlled trial.Frontiers in medicine · 2025Article
- Systems pharmacology identifies ajugol-mediated NF-κB/caspase-3 inhibition and isoacteoside-driven p62/mTOR-mediated autophagy as key mechanisms of Rehmanniae Radix and its processed form in Alzheimer's treatment.Frontiers in pharmacology · 2025Article
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Authors and funding
15 authors.
Funding
Abstract
backgroundThe 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
methodsThis study included a total of 483 participants (141 healthy controls and 342 patients with pPNs) from June 2022 and January 2024. Saliva samples were subjected to sequencing of the V3-V4 region of the 16S rRNA gene to assess microbial diversity and differential abundance. Seven advanced machine learning algorithms (logistic regression, support vector machine, multi-layer perceptron, naïve Bayes, random forest, gradient boosting decision tree, and LightGBM) were utilized to evaluate performance and identify key microorganisms, with fivefold cross-validation employed to ensure robustness. The Shapley Additive exPlanations (SHAP) algorithm was employed to explain the contribution of these core microbiotas to the predictive model. Additionally, the PICRUSt2 algorithm was used to predict the microbial functions.
resultsThe salivary microbial composition in pPNs group showed significantly lower α- and β-diversity compared to healthy controls. A high-accuracy LightGBM model was developed, identifying six core genera-Fusobacterium, Solobacterium, Actinomyces, Porphyromonas, Atopobium, and Peptostreptococcus-as pPNs biomarkers. Additionally, a visualization pPNs risk prediction system was developed. The immune responses and metabolic activities differences in salivary microbiota between the patients with pPNs and healthy controls were revealed.
conclusionsThis 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.