ArticleBioMed research international2018
Composition Analysis and Feature Selection of the Oral Microbiota Associated with Periodontal Disease.
Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
- Characterizing the supragingival microbiome of healthy pregnant women.Frontiers in cellular and infection microbiology · 2022Trial
- Topic Application of the ProbioticFrontiers in cellular and infection microbiology · 2020Trial
- Impact of lifestyle on salivary microbiota composition and antibiotic resistance in adult periodontitis patients.Antonie van Leeuwenhoek · 2026Article
- Artificial intelligence in periodontal disease research: a bibliometric and visualized analysis of global research trends (2007-2025).The Saudi dental journal · 2026Review
- Quantitative PCR-Based Analysis of Bacterial Profiles in Periapical Lesions and Maxillary Sinus in Odontogenic Sinusitis.International journal of molecular sciences · 2026Article
- A critical review on the roles of natural products in shaping oral microbiota and preventing chronic diseases.Natural products and bioprospecting · 2026Review
- Metagenomic characterization of oral microbiome signatures to predict upper gastrointestinal and pancreaticobiliary cancers: a case-control study.Journal of translational medicine · 2025Article
- Subgingival microbiota and genetic factors (A-2570G, A896G, and C1196T TLR4 polymorphisms) as periodontal disease determinants.Frontiers in dental medicine · 2025Article
- Performance of salivary microbiota in detecting periodontitis using a machine learning approach.Frontiers in cellular and infection microbiology · 2025Article
- Growing bacterial colonies harness emergent genealogical demixing to regulate organizational entropy.Biophysical reports · 2024Article
- Salivary microbiome variations in type 2 diabetes mellitus patients with different stages of periodontitis.BMC oral health · 2024Article
- Microbial Communities and Functional Genes in Periodontitis and Healthy Controls.International dental journal · 2024Article
- Randomized feature selection based semi-supervised latent Dirichlet allocation for microbiome analysis.Scientific reports · 2024Article
- Use of Ozone in Veterinary Dentistry as an Alternative to Conventional Antibiotics and Antiseptics.Veterinary sciences · 2024Article
- Clinical relevance of distolingual roots and periodontal status in mandibular first molars: a cross-sectional study employing CBCT analysis.Journal of Zhejiang University. Science. B · 2024Article
- Changes in the nasopharyngeal and oropharyngeal microbiota in pediatric obstructive sleep apnea before and after surgery: a prospective study.BMC microbiology · 2024Article
- The effect of different sweeteners on the oral microbiome: a randomized clinical exploratory pilot study.Journal of oral microbiology · 2024Article
- Identifying the oral microbiome of adolescents with and without dental fluorosis based on full-length 16S rRNA gene sequencing.Frontiers in microbiology · 2024Article
- The upper respiratory tract microbiota of healthy adults is affected by Streptococcus pneumoniae carriage, smoking habits, and contact with children.Microbiome · 2023Article
- The salivary microbiota is altered in cervical dysplasia patients and influenced by conization.iMeta · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Periodontitis is an inflammatory disease involving complex interactions between oral microorganisms and the host immune response. Understanding the structure of the microbiota community associated with periodontitis is essential for improving classifications and diagnoses of various types of periodontal diseases and will facilitate clinical decision-making. In this study, we used a 16S rRNA metagenomics approach to investigate and compare the compositions of the microbiota communities from 76 subgingival plagues samples, including 26 from healthy individuals and 50 from patients with periodontitis. Furthermore, we propose a novel feature selection algorithm for selecting features with more information from many variables with a combination of these features and machine learning methods were used to construct prediction models for predicting the health status of patients with periodontal disease. We identified a total of 12 phyla, 124 genera, and 355 species and observed differences between health- and periodontitis-associated bacterial communities at all phylogenetic levels. We discovered that the genera
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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 OpenQuestion graph.