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Record W6980239632

Blockade of TLR2 Inhibits P. gingivalis Suppression of Mineralized Matrix Formation by Human Dental Pulp Stem Cells

2011· dissertation· en· W6980239632 on OpenAlexfundno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2011
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicCrop Yield and Soil Fertility
Canadian institutionsnot available
FundersNational Institutes of HealthUniversity of TorontoAlpha Omega Foundation
KeywordsDentin sialophosphoproteinTLR2Dental pulp stem cellsBlockadePulp (tooth)Porphyromonas gingivalisGene expression
DOInot available

Abstract

fetched live from OpenAlex

In an effort to re-establish tissue with odontogenic potential in the pulp space of immature permanent teeth, stimulated human dental pulp stem/progenitor cells (hDPSCs) have shown potential to differentiate and form mineralized matrix, marked by high expression of dentin sialophosphoprotein (DSPP) and osteocalcin (OCN). Bacterial by-products have been shown to adversely affect cell differentiation. This study investigated the effect of P. gingivalis, a putative endodontic pathogen, and blockage of its host recognition on hDPSCs. Stimulated hDPSCs were exposed to varying concentrations of P. gingivalis by-product and gene expression of DSPP and OCN was measured. Cells were exposed to TLR2 blocking agents prior to exposure to the by-product. P. gingivalis affected dose-dependent suppression of the measured gene expression. Blockade of TLR2 inhibited the by-product derived suppression of gene expression. The immune-potential of by-product was confirmed to be detrimental to the differentiation of hDPSCs, and this effect could be moderated by TLR2-blockade.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

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 head0.017
GPT teacher head0.230
Teacher spread0.214 · 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
Published2011
Admission routes1
Has abstractyes

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