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Bacteria degrade the specialized basal lamina attaches the gingiva to teeth

2019· article· en· W3174056338 on OpenAlexafffundabout
Aurélien Fouillen, Daniel Grenier, Jean Barbeau, Christian Baron, Pierre Moffatt, Antonio Nanci

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsUniversité LavalUniversité de Montréal
FundersCanadian Institutes of Health ResearchRéseau de Recherche en Santé Buccodentaire et OsseuseShriners Hospitals for Children
KeywordsBasal laminaChemistryBacteriaWestern blotBiophysicsLamininCell biologyMicrobiologyExtracellular matrixBiochemistryBiologyAnatomyUltrastructure

Abstract

fetched live from OpenAlex

Introduction The junctional epithelium is a specialized portion of the gingiva that seals off the tooth supporting tissues from the oral environment. This relationship is achieved via a specialized basal lamina (sBL). Three unique proteins ‐AMTN, ODAM and SCPPPQ1‐ together with Laminin‐332 structure the supramolecular organization of this sBL and determine its adhesive capacity. Despite its critical and strategic importance and continued exposure to bacteria, little is known on the susceptibility of the sBL to bacterial activity. Methods The objective of this study was to evaluate the impact of various oral bacteria on the sBL using molecular biology and complementary imaging approaches. Results SDS‐PAGE and western blot analysis of degradation assays with trypsin like proteases as well as incubation with Porphyromonas gingivalis ( P. gingivalis ) revealed that all sBL constituents, except SCPPPQ1, were rapidly degraded. Mass spectrometry also confirmed that SCPPPQ1 was not degraded. We have previously shown that mixing the recombinant sBL proteins results in the formation a supramolecular network that mimicked the sBL. To observe the impact of oral bacteria on this ‘reconstituted’ sBL network, we exposed it to P. gingivalis and observed the results by atomic force microscopy and scanning electron microscopy (SEM). The bacteria destroyed the supramolecular network in their vicinity creating a peripheral space around them. SEM imaging further showed the presence of fine filamentous residual matrix on the exposed HOPG surface, suggesting the incomplete degradation of some component and a layered destruction of the network. Finally, to determine the effect of P. gingivalis on the native sBL itself, we exposed it ex‐vivo to bacteria. After two hours of exposure, SEM analysis revealed the presence of a shallow depression around the bacteria and after 6 h, the affected peri‐bacterial area became deeper and cavitated , suggesting active degradation of the native sBL as well. Conclusion We show here for the first time that enzymes and P. gingivalis , one of the major bacteria implicated in chronic periodontitis, can attack the individual components of the sBL as well as alter the supramolecular organization of this critical adhesive extracellular matrix. Because destruction of the sBL would open the door to bacterial infiltration around teeth. These results highlight the importance of the sBL in PD and open the door for new treatment paradigms. Support or Funding Information This work was supported by CIHR, Canada Research Chair, RSBO, and Shriners Hospital. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.312
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes3
Has abstractyes

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