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Effect of female sex hormones on <i>Campylobacter rectus</i> and human gingival fibroblasts

2005· article· en· W2158776355 on OpenAlexaff
Masaaki Yokoyama, Daisuke Hinode, Akiko Masuda, Masami Yoshioka, Daniel Grenier

Bibliographic record

VenueOral Microbiology and Immunology · 2005
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEndocrinologyInternal medicineHormoneStimulationBiologyVascular endothelial growth factorVEGF receptorsMedicine

Abstract

fetched live from OpenAlex

Recent studies have suggested a relationship between maternal Campylobacter rectus infections and preterm low birth weight. The purpose of this study was to investigate the effect of female sex hormones, estradiol and progesterone, on C. rectus and human gingival fibroblasts (HGF). The growth of C. rectus was significantly enhanced by incorporating either estradiol or progesterone in the culture medium. The production of vascular endothelial growth factor (VEGF), interleukin (IL)-6 and IL-8 by HGF increased following stimulation with estradiol or progesterone, at concentrations comparable to those present in the plasma of pregnant women. In addition, a significantly higher secretion of VEGF by HGF treated with the combination of C. rectus and estradiol was observed in comparison with a treatment with C. rectus alone. Stimulation of HGF with VEGF resulted in production of IL-6 and IL-8 in a dose-dependent manner. The capacity of female sex hormones to enhance both C. rectus growth and VEGF, IL-6, and IL-8 production by HGF has the potential to contribute to periodontal disease progression during pregnancy.

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 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 score0.084
Threshold uncertainty score0.903

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 integrity0.0010.000
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 head0.008
GPT teacher head0.280
Teacher spread0.272 · 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 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

Citations57
Published2005
Admission routes1
Has abstractyes

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