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Covalent Antithrombin-Heparin Complex Catalysis of Activated Protein C Inhibition by Protein C Inhibitor.

2009· article· en· W2980002850 on OpenAlexaff
Maria C. Van Walderveen, Leslie R. Berry, Anthony K.C. Chan

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsProtein CAntithrombinChemistryThrombinConventional PCIHeparinThrombomodulinAnticoagulantCovalent bondLow molecular weight heparinMolecular biologyPharmacologyBiochemistryInternal medicineMedicinePlateletBiologyOrganic chemistry

Abstract

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Abstract Abstract 3167 Poster Board III-107 Introduction Thrombin (IIa), when bound to thrombomodulin (TM), readily converts protein C (PC) into activated PC (APC). APC functions as an anticoagulant by inactivating activated factors V (FVa) and VIII (FVIIIa), and indirectly reduces IIa generation. Once formed, APC activity is controlled through inhibition by PC inhibitor (PCI), a reaction that is catalyzed by heparin (H). Chan et al. developed a covalent antithrombin-heparin (ATH) complex with increased anticoagulant activity compared to H. The current investigation looked at the role and mechanism by which ATH affects the inhibition of APC by PCI. Methods Discontinous second order rate constant inhibition assays of APC+PCI, in the presence of ATH or unfractionated H (UFH), were performed. These experiments were repeated in the presence of low molecular weight H (LMWH) or ATH (LMWATH), or a high molecular weight ATH (HMWATH). The affinity of ATH or UFH for APC or PCI was assessed using native electrophoresis and APC or PCI immobilized onto agarose beads. Results Second order rate experiments revealed that, at peak values, ATH (k2=2.0 × 107 ± 1.2 × 106) was a significantly slower catalyst of APC inhibition by PCI than UFH (k2= 3.0 × 107 ± 2.0 × 106; p=0.005). The peak reaction rate value for UFH occurred at a higher catalyst concentration (300nM) compared to ATH (60nM). LMWH was a poor catalyst of APC inhibition by PCI (k2= 4.2 × 105 ± 8.2 × 104). However, both LMWATH and HMWATH had high catalytic function (k2= 4.1 × 107 ± 2.1 × 106 and k2= 2.7 × 107 ± 4.8 × 105, respectively). Although UFH and ATH were able to bind to either APC or PCI at a pH of 7.3, increasing the pH to 8.8 eliminated all binding affinity, except that of ATH for APC. Conclusion UFH functions mechanistically through a template-mediated effect by bridging APC with PCI. The catalytic function of UFH is dependent upon H chain length, as LMWH was ineffective at enhancing APC inhibition by PCI. On the other hand, ATH may act mainly through conformational APC activation. There was no H chain length dependence for ATH, as LMWATH was able to significantly catalyze PCI inhibition of APC. We speculate that ATH's AT moiety may assist interaction with APC but prevents the H component of ATH from bridging the enzyme with the inhibitor. Compared to UFH, ATH is a more potent inhibitor of IIa, but is less effective at inhibiting APC and thereby decreasing IIa generation. These results add to the growing evidence that ATH is a superior anticoagulant to UFH. 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0030.001

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 head0.262
Teacher spread0.240 · 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".

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Citations0
Published2009
Admission routes1
Has abstractyes

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