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Record W2668352870

Adaptation Mechanisms of Streptococcus mutans to Stresses Induced by Resin Composite Biodegradation By-products

2016· dissertation· en· W2668352870 on OpenAlexfundno aff
Lida Sadeghinejad

Bibliographic record

VenueTSpace (University of Toronto) · 2016
Typedissertation
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsStreptococcus mutansBiodegradationComposite numberAdaptation (eye)ChemistryMicrobiologyFood scienceComposite materialMaterials scienceBacteriaPsychologyBiologyOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Resin composites are currently the most popular dental restorative materials. While providing several beneficial properties such as superior esthetics and excellent adhesive strength to dentin and enamel, resin composites undergo biological breakdown in the oral cavity that results in secondary/recurrent caries and reduced restoration longevity compared to amalgam. The breakdown of the resin-dentin interface by salivary and bacterial esterases generates biodegradation by-products (BBPs) including triethylene glycol (TEG) and bis-hydroxy-propoxy-phenyl-propane (BisHPPP). This chemical degradation contributes to gap formation between the restoration and the tooth, providing a path for microleakage of cariogenic microorganisms such as Streptococcus mutans, potentially resulting in recurrent/secondary caries, which is a major cause for resin composite restorations replacement. To test the hypothesis that BBPs activate signaling pathways that are involved in Streptococcus mutans pathogenicity and understand the molecular pathways that regulate the BBPsâ effects on cariogenic bacteria, this thesis quantitatively and mechanistically studied the effect of TEG or BisHPPP at clinically-relevant concentrations on the virulence properties of S. mutans UA159 in a relevant in vitro model. Quantitative real-time polymerase chain reaction showed up-regulation of seven dominant virulence-associated genes i.e. gtfB, gtfC, gbpB, comCDE and atpH, more significantly in biofilm vs. planktonic cells, only at cariogenic pH (5.5). Exposure of the constructed knock-out and complemented strains of S. mutans for the key regulatory genes, vicK and comC, to BBPs suggested these signalling pathways as potential mechanisms for up-regulation of the virulence-associated genes. S. mutans biofilm proteome analysis after exposure to TEG/BisHPPP confirmed activation of specific bacterial adaptation mechanisms such as biofilm formation and adhesion, acid tolerance, optimization of phosphotransferase system and stress-response pathways in response to BBPs. Microarray data were consistent with the proteomics findings for BisHPPP. Furthermore, both BBPs increased glucosyltransferases enzyme activity, involved in synthesizing exopolysaccharide glucan associated with the formation of cariogenic biofilms. This thesis provides significant insight into the adaptive response of S. mutans to the dental biomaterial-derived degradation products and elucidates the potential molecular mechanisms that could contribute in pathogenesis of secondary caries in resin composite restorations. It also provides a rationale for development of dental restorative materials that are more biostable and biocompatible.

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 score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.021
GPT teacher head0.281
Teacher spread0.260 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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