ArticleJournal of dental research2018
Saliva-Derived Commensal and Pathogenic Biofilms in a Human Gingiva Model.
Article in Journal of dental research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
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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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Three dimensional (3D) gingival models in periodontal research: a systematic review.Journal of materials science. Materials in medicine · 2023Pooled it
- Advances in oral disease models: a mini-review of developments from 2015 to 2025.Frontiers in dental medicine · 2026Review
- Immunomodulatory effects of eubiotic and dysbiotic multi-species biofilms on oral keratinocytes.BMC oral health · 2025Article
- Impact of antibacterial therapeutic agents on biofilm-tissue interactions in a 3D implant-tissue-oral-bacterial-biofilm model.Scientific reports · 2025Article
- An in vitro model demonstrating homeostatic interactions between reconstructed human gingiva and a saliva-derived multispecies biofilm.Microbiome · 2025Article
- Advances in modeling periodontal host-microbe interactions: insights from organotypic and organ-on-chip systems.Lab on a chip · 2025Review
- Protein-based double-network hydrogels mimicking oral mucosa.Frontiers in chemistry · 2025Article
- Development of an Oral Epithelial Ex Vivo Organ Culture Model for Biocompatibility and Permeability Assessment of Biomaterials.Bioengineering (Basel, Switzerland) · 2024Article
- Biofabrication Strategies for Oral Soft Tissue Regeneration.Advanced healthcare materials · 2024Review
- Microfluidic organ-on-chip systems for periodontal research: advances and future directions.Frontiers in bioengineering and biotechnology · 2024Review
- Microphysiological Modeling of Gingival Tissues and Host-Material Interactions Using Gingiva-on-Chip.Advanced healthcare materials · 2023Article
- Strategies to Combat Caries by Maintaining the Integrity of Biofilm and Homeostasis during the Rapid Phase of Supragingival Plaque Formation.Antibiotics (Basel, Switzerland) · 2022Review
- A novel in vitro periodontal pocket model to evaluate the effect of root surface instrumentation on biofilm-epithelial cell interactions.Clinical oral investigations · 2022Article
- Metataxonomic and metabolomic evidence of biofilm homeostasis disruption related to caries: An in vitro study.Molecular oral microbiology · 2022Article
- Article
- Stable reconstructed human gingiva-microbe interaction model: Differential response to commensals and pathogens.Frontiers in cellular and infection microbiology · 2022Article
- Saliva-derived microcosm biofilms grown on different oral surfaces in vitro.NPJ biofilms and microbiomes · 2021Article
- The Bigger Picture: Why Oral Mucosa Heals Better Than Skin.Biomolecules · 2021Review
- Differential Response of Oral Mucosal and Gingival Cells toFrontiers in cellular and infection microbiology · 2021Article
- Sulfated vizantin causes detachment of biofilms composed mainly of the genus Streptococcus without affecting bacterial growth and viability.BMC microbiology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In vitro models that closely mimic human host-microbiome interactions can be a powerful screening tool for antimicrobials and will hold great potential for drug validation and discovery. The aim of this study was to develop an organotypic oral mucosa model that could be exposed to in vitro cultured commensal and pathogenic biofilms in a standardized and scalable manner. The oral mucosa model consisted of a tissue-engineered human gingiva equivalent containing a multilayered differentiated gingiva epithelium (keratinocytes) grown on a collagen hydrogel, containing gingiva fibroblasts, which represented the lamina propria. Keratinocyte and fibroblast telomerase reverse transcriptase-immortalized cell lines were used to overcome the limitations of isolating cells from small biopsies when scalable culture experiments were required. The oral biofilms were grown under defined conditions from human saliva to represent 3 distinct phenotypes: commensal, gingivitis, and cariogenic. The in vitro grown biofilms contained physiologic numbers of bacterial species, averaging >70 operational taxonomic units, including 20 differentiating operational taxonomic units. When the biofilms were applied topically to the gingiva equivalents for 24 h, the gingiva epithelium increased its expression of elafin, a protease inhibitor and antimicrobial protein. This increased elafin expression was observed as a response to all 3 biofilm types, commensal as well as pathogenic (gingivitis and cariogenic). Biofilm exposure also increased secretion of the antimicrobial cytokine CCL20 and inflammatory cytokines IL-6, CXCL8, and CCL2 from gingiva equivalents. This inflammatory response was far greater after commensal biofilm exposure than after pathogenic biofilm exposure. These results show that pathogenic oral biofilms have early immune evasion properties as compared with commensal oral biofilms. The novel host-microbiome model provides an ideal tool for future investigations of gingiva responses to commensal and pathogenic biofilms and for testing novel therapeutics.
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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.