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Polymicrobial communities in periodontal disease: Their quasi‐organismal nature and dialogue with the host
Open accessAbstract
In health, indigenous polymicrobial communities at mucosal surfaces maintain an ecological balance via both inter‐microbial and host‐microbial interactions that promote their own and the host's fitness, while preventing invasion by exogenous pathogens. However, genetic and acquired destabilizing factors (including immune deficiencies, immunoregulatory defects, smoking, diet, obesity, diabetes and other systemic diseases, and aging) may disrupt this homeostatic balance, leading to selective outgrowth of species with the potential for destructive inflammation. This process, known as dysbiosis, underlies the development of periodontitis in susceptible hosts. The pathogenic process is not linear but involves a positive‐feedback loop between dysbiosis and the host inflammatory response. The dysbiotic community is essentially a quasi‐organismal entity, where constituent organisms communicate via sophisticated physical and chemical signals and display functional specialization (eg, accessory pathogens, keystone pathogens, pathobionts), which enables polymicrobial synergy and dictates the community's pathogenic potential or nososymbiocity. In this review, we discuss early and recent studies in support of the polymicrobial synergy and dysbiosis model of periodontal disease pathogenesis. According to this concept, disease is not caused by individual “causative pathogens” but rather by reciprocally reinforced interactions between physically and metabolically integrated polymicrobial communities and a dysregulated host inflammatory response.
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Self-citationThe vital status of human buccal epithelial cells and the bacteria associated with them
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Ebersole, J. L., Kirakodu, S. S., Novak, M. J., Exposto, C. R., Stromberg, A. J., Shen, S., Orraca, L., González‐Martínez, J., & González, O. A. (2015) · Molecular Oral Microbiology · doi:10.1111/omi.12121 · Cited by 52
Cited by
Herrera, D., Sanz, M., Shapira, L., Brotons, C., Chapple, I., Frese, T., Graziani, F., Hobbs, F. D. R., Huck, O., Hummers, E., et al. (2023) · Journal of Clinical Periodontology · doi:10.1111/jcpe.13807 · Cited by 284
Metadata
- Authors
- Hajishengallis, G., & Lamont, R. J.
- Venue
- Periodontology 2000
- Publisher
- Wiley
- Published
- 2021-03-10
- Volume
- 86
- Issue
- 1
- Pages
- 210-230
- ISSN
- 0906-6713 (ISSN-L)
- 1600-0757
- OpenAlex
- W3134907435
- Cited by
- 281
- References
- 241
- FWCI
- 34.76
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.