ArticleBMC microbiology2009
Subgingival bacterial colonization profiles correlate with gingival tissue gene expression.
Article in BMC microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
57 citing papers in PubMed, 112 citations in OpenAlex.
- Trial
- Clinical and microbiological results following nonsurgical periodontal therapy with or without local administration of piperacillin/tazobactam.Clinical oral investigations · 2013Trial
- Integrative Transcriptomics Reveals a Mitochondria-Related Gene Signature in Periodontitis.Biomolecules · 2026Article
- Lactate-Driven Reprogramming of Monocyte Bridges Bone Loss in Inflammatory Comorbidities.Biomolecules · 2026Article
- Identification and characterization of fibroblast-related biomarkers and pro-inflammatory subpopulations in periodontitis by integrated transcriptomic and single-cell analysis.Scientific reports · 2026Article
- Identifying potential therapeutic targets in periodontitis: a multi-omics approach integrating bulk and single-cell RNA sequencing with Mendelian randomization.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- TXN/TXNIP signatures point to plasma cells as a potential immune hub in periodontitis based on integrated transcriptomic analysis and preliminary experimental validation.Frontiers in immunology · 2026Article
- Exploring the role of the key gene TNFAIP3 between periodontitis and influenza A through bioinformatic analysis and molecular docking.PloS one · 2026Article
- Lactylation-related gene signatures define immune heterogeneity and provide diagnostic biomarkers for periodontitis.Scientific reports · 2025Article
- Exploring the role of lipid metabolism related genes and immune microenvironment in periodontitis by integrating machine learning and bioinformatics analysis.Scientific reports · 2025Article
- Identification and analysis of neutrophil extracellular trap-related genes in periodontitis via bioinformatics and experimental verification.BMC oral health · 2025Article
- Identification of Periodontal Disease Diagnostic Markers Via Data Cross-Validation.International dental journal · 2025Article
- Identification and Validation of Aging- and Endoplasmic Reticulum Stress-Related Genes in Periodontitis Using a Competing Endogenous RNA Network.Inflammation · 2025Article
- Investigating the role of necroptosis in the immunological microenvironment of periodontitis.Molecular biology reports · 2025Article
- Unveiling the IL-1β/CXCL2 axis: a shared therapeutic target in periodontitis and inflammatory bowel disease.Frontiers in immunology · 2025Article
- Multiomics of Aging and Aging-Related Diseases.International journal of molecular sciences · 2024Review
- Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease.Journal, genetic engineering & biotechnology · 2024Article
- Identification the Low Oxidative Stress Subtype of Periodontitis.International dental journal · 2024Article
- Screening of feature genes related to immune and inflammatory responses in periodontitis.BMC oral health · 2023Article
- Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundPeriodontitis is a chronic inflammatory disease caused by the microbiota of the periodontal pocket. We investigated the association between subgingival bacterial profiles and gene expression patterns in gingival tissues of patients with periodontitis. A total of 120 patients undergoing periodontal surgery contributed with a minimum of two interproximal gingival papillae (range 2-4) from a maxillary posterior region. Prior to tissue harvesting, subgingival plaque samples were collected from the mesial and distal aspects of each tissue sample. Gingival tissue RNA was extracted, reverse-transcribed, labeled, and hybridized with whole-genome microarrays (310 in total). Plaque samples were analyzed using checkerboard DNA-DNA hybridizations with respect to 11 bacterial species. Random effects linear regression models considered bacterial levels as exposure and expression profiles as outcome variables. Gene Ontology analyses summarized the expression patterns into biologically relevant categories.
resultsWide inter-species variation was noted in the number of differentially expressed gingival tissue genes according to subgingival bacterial levels: Using a Bonferroni correction (p < 9.15 x 10(-7)), 9,392 probe sets were differentially associated with levels of Tannerella forsythia, 8,537 with Porphyromonas gingivalis, 6,460 with Aggregatibacter actinomycetemcomitans, 506 with Eikenella corrodens and only 8 with Actinomyces naeslundii. Cluster analysis identified commonalities and differences among tissue gene expression patterns differentially regulated according to bacterial levels.
conclusionOur findings suggest that the microbial content of the periodontal pocket is a determinant of gene expression in the gingival tissues and provide new insights into the differential ability of periodontal species to elicit a local host response.
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