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Inactivation of tissue inhibitor of metalloproteinases-1 (TIMP-1) by<i>Porphyromonas gingivalis</i>

2001· article· en· W2067056975 on OpenAlexafffund
Daniel Grenier, D. Mayrand

Bibliographic record

VenueFEMS Microbiology Letters · 2001
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsPorphyromonas gingivalisMatrix metalloproteinaseChemistryMicrobiologyMetalloproteinaseProteolytic enzymesInflammationTissue inhibitor of metalloproteinasePeriodontal pathogenProteolysisMolecular biologyBiologyBacteriaBiochemistryEnzymeImmunology

Abstract

fetched live from OpenAlex

In response to periodontal inflammation, host cells release matrix metalloproteinases (MMPs) that contribute to periodontal tissue breakdown unless the tissue inhibitors of metalloproteinases (TIMPs) neutralize their activity. In this study, the capacity of Porphyromonas gingivalis to inactivate TIMP-1 was investigated. Proteolytic digestion of TIMP-1 was monitored by SDS-PAGE and Western immunoblotting. Planktonic cells and biofilms of P. gingivalis degraded TIMP-1 with production of several lower molecular mass fragments. Incorporation of human serum in the assay mixture had no effect on the degradation of TIMP-1 by P. gingivalis, whereas a cysteine proteinase inhibitor caused a complete inhibition. Using a fluorogenic assay, it was found that TIMP-1 treated with P. gingivalis lost its capacity to inhibit MMP-9 activity. This study revealed the potential of P. gingivalis to inactivate TIMP-1 through proteolytic degradation. This phenomenon may contribute to increasing significantly the level of active MMPs in affected periodontal sites and subsequently favor tissue destruction.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.013
GPT teacher head0.265
Teacher spread0.253 · 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 teacher head, not a consensus.

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

Citations28
Published2001
Admission routes2
Has abstractyes

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