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Record W3214297432 · doi:10.1182/blood-2021-154494

DNA Mediated Blood Coagulation: Extracellular DNA Accelerates Fibrinogen Polymerization By Thrombin Independent of Contact Pathway

2021· article· en· W3214297432 on OpenAlexaff
Sreeparna Vappala, Suzana K. Straus, Edward L.G. Pryzdial, Edward M. Conway, Jayachandran N. Kizhakkedathu

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsExtracellularDNAChemistryCoagulationThrombinBiochemistryActivator (genetics)FibrinogenBiophysicsCell biologyMolecular biologyBiologyPlateletImmunologyMedicineReceptor

Abstract

fetched live from OpenAlex

Abstract Introduction- Several in vivo studies and clinical studies have demonstrated extracellular DNA as a mediator of coagulation and this effect was reversed by the administration of DNA degrading enzyme DNase I. However, there is no clear understanding of the mechanism by which extracellular DNA activates coagulation in vitro. Conventionally, it was thought to be the activator of the contact pathway. But recent studies have shown that extracellular DNA isolated without contaminants like silica particles is a weak activator of the contact pathway. In this study, we have investigated the mechanism by which extracellular DNA is contributing to coagulation. Corroborating with recent results, we show that extracellular genomic DNA is a weak activator contact pathway. We determined that extracellular DNA accelerate fibrinogen polymerization by thrombin via a possible template mechanism. Our biophysical studies corroborate the interaction of DNA, thrombin, and fibrinogen. Understanding the mechanism of DNA induced blood coagulation will help address the gaps in the literature as well as develop inhibitors against DNA- mediated thrombosis. Methods- Silica-free extracellular DNA was purified with the PAXgene™ Blood DNA Kit. Contact activation in plasma was measured by monitoring the cleavage of the substrate S2302. To study the contact independent activation of plasma clotting by extracellular DNA, 1.5 µM Corn Trypsin Inhibitor (CTI) was applied to the plasma. Next, acceleration of fibrinogen polymerization by thrombin in presence of extracellular DNA was measured by monitoring the absorbance of 350 nm. Interaction of DNA with fibrinogen and thrombin in phosphate buffer was determined by CD spectroscopy. Results- Our results show that silica-free extracellular genomic DNA is a weak activator of the contact pathway of coagulation [Fig-A]. Moreover, genomic DNA accelerated the plasma clotting even when the contact pathway was inhibited with CTI indicating a contact independent mechanism of the procoagulant activity of extracellular DNA. Interestingly, the presence of extracellular DNA accelerated the polymerization of fibrinogen in presence of thrombin [Fig-B]. A bell-shaped dose-response curve for extracellular DNA indicates a likely template mechanism in which both thrombin and fibrinogen could assemble on the DNA molecule. These results are supported by the results from the CD spectroscopy studies where an alteration of the structure of fibrinogen and thrombin can be noticed in presence of extracellular DNA. Confocal studies further corroborate this observation. Our results also show different nucleic acids activate coagulation via different pathways. Significance- Procoagulant activity of extracellular DNA is demonstrated in several mouse models. However, a clear understanding of the mechanism of procoagulant activity of DNA in vitro has been challenging due to the caveats in the isolation of extracellular DNA where it is often contaminated with silica particles. Here we show a novel procoagulant mechanism of cell- free DNA where it augments the polymerization of fibrinogen by thrombin. These results provide insights into the mechanism of procoagulant activity of DNA which is key to develop therapeutics against procoagulant DNA. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

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)0.0020.000

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 head0.015
GPT teacher head0.235
Teacher spread0.221 · 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
Published2021
Admission routes1
Has abstractyes

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