ArticleJournal of periodontology2019
Toll-like receptor-2 and -4 responses regulate neutrophil infiltration into the junctional epithelium and significantly contribute to the composition of the oral microbiota.
Article in Journal of periodontology, 2019. 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, 25 citations in OpenAlex.
- Oral microbiota and respiratory diseases: advances and perspectives.Clinical microbiology reviews · 2025Review
- Does Oral Endotoxin Contribute to Systemic Inflammation?Frontiers in oral health · 2022Review
- Altered composition of the oral microbiome in integrin beta 6-deficient mouse.Journal of oral microbiology · 2022Article
- Glycemic fluctuation exacerbates inflammation and bone loss and alters microbiota profile around implants in diabetic mice with experimental peri-implantitis.International journal of implant dentistry · 2021Article
- Human variation in gingival inflammation.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Key Elements of Gingival Epithelial Homeostasis upon Bacterial Interaction.Journal of dental research · 2021Review
- Oral Versus Gastrointestinal Mucosal Immune Niches in Homeostasis and Allostasis.Frontiers in immunology · 2021Review
- Deep metagenomics examines the oral microbiome during dental caries, revealing novel taxa and co-occurrences with host molecules.Genome research · 2021Article
- Clinically Healthy Human Gingival Tissues Show Significant Inter-individual Variability in GCF Chemokine Expression and Subgingival Plaque Microbial Composition.Frontiers in oral health · 2021Article
- Toll Like Receptors as Sensors of the Tumor Microbial Dysbiosis: Implications in Cancer Progression.Frontiers in cell and developmental biology · 2021Review
- Elevated Baseline Salivary Protease Activity May Predict the Steadiness of Gingival Inflammation During Periodontal Healing: A 12-Week Follow-Up Study on Adults.Pathogens (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOral gingival tissue, especially the junctional epithelium (JE), is constantly exposed to sub-gingival plaque. A key component of gingival health is the regulation of the number of neutrophils that migrate into the gingival crevice to counteract its harmful effects. This report investigates the contribution of innate defense receptors, Toll-like receptor (TLR)2, TLR4, and both (TLR2/4) to the maintenance of neutrophil homeostasis in the JE.
methodsBacterial composition was analyzed from whole oral swabs collected from 12- to 14-week-old TLR2, TLR4, TLR2/4 double knock-out (KO) mice using a MiSeq platform targeting the V3-V4 region of the 16S ribosomal RNA gene. Mandibles were histologically examined for quantification of neutrophils in the JE and bone loss. Lastly, total bacterial load was quantitated using quantitative real-time PCR.
resultsCompared with wild-type, all TLR KO mice displayed significantly increased recruitment of neutrophils (P = 0.0079) into the JE. In addition, TLR4 and TLR2/4 KO mice demonstrated a significant increase in the number of bacteria (P = 0.0022 and P = 0.0152, respectively). Lastly, comparative compositional analyses of the oral microbiome revealed that each KO strain harbored unique microbial communities that are distinct from each other but maintained similar levels of alveolar bone.
conclusionsNeutrophil migration into healthy mouse JE does not require TLR2 or TLR4. However, a significant increase in the number of neutrophils as well as a significant change in the oral microbial composition in both TLR2 and TLR4 KO mice demonstrate that these TLRs contribute to the homeostatic relationship between bacteria and the host in healthy mice periodontal tissue.
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Registered trials
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.