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Record W2018560551 · doi:10.1097/ccm.0000000000001005

Toll-Like Receptor 9 Signaling Regulates Tissue Factor and Tissue Factor Pathway Inhibitor Expression in Human Endothelial Cells and Coagulation in Mice

2015· article· en· W2018560551 on OpenAlexafffund
Driss El Kebir, Anas Damlaj, Nesrine Makhezer, János G. Filep

Bibliographic record

VenueCritical Care Medicine · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersCanadian Institutes of Health ResearchGenentech
KeywordsTissue factorTissue factor pathway inhibitorTLR9ThromboplastinMolecular biologyCpG siteBiologyMedicineCoagulationGene expressionInternal medicineDNA methylationGeneBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: Bacterial DNA (CpG DNA) persists in tissues and blood under pathological conditions that are associated with enhanced intravascular coagulation. Toll-like receptor 9 recognizes CpG DNA and elicits innate and adoptive immunity, yet the impact of CpG DNA on coagulation has not been studied. In this study, we investigated the effects of CpG DNA on the expression and activity of tissue factor, a key initiator of coagulation and tissue factor pathway inhibitor in human coronary artery endothelial cells and on coagulation in mice. DESIGN: Controlled in vitro and in vivo studies. SETTING: University research laboratory. SUBJECTS: Cultured human coronary artery endothelial cell, wild-type mice, and TLR9-deficient mice. INTERVENTIONS: Human coronary artery endothelial cell was challenged with CpG DNA, and tissue factor and tissue factor pathway inhibitor expression and activity were assessed. In mice, the effects of CpG DNA on bleeding time and plasma levels of thrombin-antithrombin complexes and tissue factor were measured. MEASUREMENTS AND MAIN RESULTS: We found that CpG DNA, but not eukaryotic DNA, evoked marked nuclear factor-κB-mediated increases in tissue factor expression at both messenger RNA and protein levels, as well as in tissue factor activity. Conversely, CpG DNA significantly reduced tissue factor pathway inhibitor transcription, secretion, and activity. Inhibition of Toll-like receptor 9 with a telomere-derived Toll-like receptor 9 inhibitory oligonucleotide or transient Toll-like receptor 9 knockdown with small interfering RNA attenuated human coronary artery endothelial cell responses to CpG DNA. In wild-type mice, CpG DNA shortened the bleeding time parallel with dramatic increases in plasma thrombin-antithrombin complex and tissue factor levels. Pretreatment with inhibitory oligonucleotide or anti-tissue factor antibody or genetic deletion of TLR9 prevented these changes, whereas depleting monocytes with clodronate resulted in a modest partial inhibition. CONCLUSIONS: Our findings demonstrate that bacterial DNA through Toll-like receptor 9 shifted the balance of tissue factor and tissue factor pathway inhibitor toward procoagulant phenotype in human coronary artery endothelial cells and activated blood coagulation in mice. Our study identifies Toll-like receptor 9 inhibitory oligonucleotides as potential therapeutic agents for the prevention of coagulation in pathologies where bacterial DNA may abundantly be present.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.291
Teacher spread0.269 · 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

Citations25
Published2015
Admission routes2
Has abstractyes

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