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Record W2004117108 · doi:10.1902/jop.2012.120118

Collinin Reduces <i>Porphyromonas gingivalis</i> Growth and Collagenase Activity and Inhibits the Lipopolysaccharide‐Induced Macrophage Inflammatory Response and Osteoclast Differentiation and Function

2012· article· en· W2004117108 on OpenAlexaff
Juliana Alves dos Santos, Annie Marquis, Francesco Epifano, Salvatore Genovese, Massimo Curini, Daniel Grenier

Bibliographic record

VenueJournal of Periodontology · 2012
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsUniversité Laval
FundersInternational Association for Dental Research
KeywordsPorphyromonas gingivalisOsteoclastChemistryLipopolysaccharideRANKLBone resorptionCollagenaseAcid phosphataseMolecular biologyPeriodontitisOsteoprotegerinChemokineActivator (genetics)In vitroBiochemistryInternal medicineImmunologyReceptorEndocrinologyBiologyMedicineEnzyme

Abstract

fetched live from OpenAlex

BACKGROUND: Collinin is a secondary plant metabolite belonging to the class of geranyloxycoumarins. We explored the potential beneficial impact of collinin on periodontal health by investigating its effect on Porphyromonas gingivalis (P. gingivalis), lipopolysaccharide (LPS)-induced inflammatory response of macrophages, and osteoclastogenesis. METHODS: Collinin was synthesized from pyrogallol and propiolic acid. A microdilution assay was used to determine antibacterial activity of collinin. The effect of collinin on collagenase activity of P. gingivalis was determined using fluorescent collagen. Macrophages were treated with collinin before being stimulated with LPS. The secretion of interleukin-6, chemokine (C-C motif) ligand 5, and prostaglandin E2 was assessed by enzyme-linked immunosorbent assays (ELISA). The inhibitory effect of collinin on differentiation of human preosteoclastic cells was assessed by tartrate-resistant acid phosphatase staining, whereas the secretion of matrix metalloproteinase-9 (MMP-9) was measured by ELISA. Bone resorption activity was investigated by using a human bone plate coupled with an immunoassay that detected the release of collagen fragments. RESULTS: Collinin inhibited the growth of P. gingivalis. The effect was more pronounced under iron-restricted conditions. Collinin dose dependently inhibited the degradation of type I collagen by P. gingivalis. It was also a potent inhibitor of the LPS-induced inflammatory response in macrophages and completely inhibited receptor activator of nuclear factor κB ligand-dependent osteoclast differentiation and MMP-9 secretion. Last, collinin affected bone degradation mediated by mature osteoclasts by significantly decreasing the release of collagen helical peptides. CONCLUSION: Although clinical trials are required, data from these in vitro analyses support the potential of collinin as a therapeutic agent for treating inflammatory periodontitis associated with bone breakdown.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.697
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.272
Teacher spread0.254 · 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.

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

Citations11
Published2012
Admission routes1
Has abstractyes

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