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Record W7132871017

Evaluation of Cathepsin-K Activation by Endotoxin and the Effect of Specific Protease Inhibitors on Dentin Matrix

2020· dissertation· W7132871017 on OpenAlexfundno aff
Arwa Bafail

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldDentistry
TopicDental Erosion and Treatment
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
KeywordsDentinMolarProteasesProteaseDegradation (telecommunications)Ultimate tensile strengthMatrix metalloproteinase
DOInot available

Abstract

fetched live from OpenAlex

Host-derived proteases have been shown to be associated with degradation of imperfectly impregnated collagen at the dentin-resin interface. Cathepsins (CTs) have been recently detected in human dentin. CTs can be activated in mild acidic environments that may further activate matrix-metalloproteinases (MMPs). Therapeutic strategies to inhibit dentinal protease activity by MMPs and CTs and subsequently prevent matrix degradation have been gaining importance recently. Chlorhexidine (CHX) (Broad-spectrum antiproteolytic) have been mostly studied. The study aims to evaluate specific CT-K inhibitor in dentin collagen degradation with/without endotoxins. This study specifically aims to (1) Develop demineralized dentin model to assess effectiveness of CT inhibitors, (2) Evaluate effect of specific CT-K inhibitor on dentin collagen properties (3) Evaluate effect of specific CT-K inhibitor on dentin collagen treated with endotoxins. To develop study model, dentin disks with 0.5mm thickness prepared from human molars were completely demineralized in 10%H3PO4. Pulverized dentin powder challenged in 1mL lactic acid (LA) (0.1M, pH5.5). Aliquots of dentin powder were then immersed in 1mL of CHX, E-64 or Odanacatib (ODN) (specific CT-K inhibitor). To evaluate endotoxins effect, dentin powder obtained were challenged with 500EU LPS. Degradation of dentin collagen was determined by sub-product release of C- and N-telopeptides in incubation media. Dentin matrix properties were measured by gravimetric change and ultimate tensile strength. Dentin microstructure was analyzed by scanning electron microscopy (SEM) or atomic force microscopy (AFM). This study showed that LA can activate endogenous CT-K in dentin, this model has potential application for further investigations on activity and possible inhibitors of CT-K in dentin. Specific CTs inhibitors (E-64, ODN) significantly inhibited CT-K activity. Therefore, Dentin therapies targeting enzymes (e.g. CT-K) by specific inhibitors may provide superior pharmacokinetics and optimum efficacy due to precise protein binding, consequently limiting collagen degradation directly or indirectly by enzyme-related pathways. CT-K activity increased within an infected demineralized dentin model. Increased CT-K activity was verified not only by release of C-telopeptides, but for the first time by the increase release of N-telopeptides of type I collagen. The findings from this study suggests that specific CT-K inhibitor (ODN) has the potential to be used in restorative dentistry.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
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 head0.020
GPT teacher head0.352
Teacher spread0.333 · 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 designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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