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Record W4388597616 · doi:10.1016/j.rpth.2023.100772

PB0544 Management of Inherited Antithrombin Deficiency in Pregnancy and Puerperium: Single Center Experience

2023· article· en· W4388597616 on OpenAlexaff
A. Lopez-Peña, M. Ordas, Candela Rodriguez, Javier Corral, M. de la Morena-Barrio, María Carmen Jiménez Herrero, P. Lopez-Gomez, R. Gonzalez-Resina, J. Obregon-membreño, Laura Fernández-Cuezva, L. Etxebarria-Bahillo, L. Villarroya-Martinez, R. monleon-Gil, J. Calvo-Villas, Nuria Fernández‐Mosteirín

Bibliographic record

VenueResearch and Practice in Thrombosis and Haemostasis · 2023
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsMcMaster UniversityThrombosis and Atherosclerosis Research Institute
Fundersnot available
KeywordsPregnancyMedicineCenter (category theory)ObstetricsAntithrombinSingle CenterInternal medicineHeparinChemistryBiologyGenetics

Abstract

fetched live from OpenAlex

Background: Heparin binds thrombin and fibrin and promotes the formation of a ternary heparin-thrombin-fibrin complex that protects thrombin from inhibition by antithrombin.Polyphosphate ( polyP) is a procoagulant polyanion released from activated platelets that, like heparin, binds thrombin and fibrin(ogen).Aims: To determine whether polyP promotes thrombin binding to fibrin, thereby forming a ternary complex that protects thrombin from inhibition by antithrombin.Methods: The polyP-fibrinogen interaction was quantified using surface plasmon resonance, whereas the binding of thrombin to fibrin in the absence or presence of polyP or heparin was quantified by measuring thrombin activity in clot supernatants.The protection of bound thrombin from inhibition by the antithrombin-heparin complex was evaluated by monitoring thrombin activity, while the procoagulant activity of fibrin-bound thrombin was quantified by incubation with FITC-fibrinogen and monitoring fibrin accretion.Results: PolyP binds fibrinogen with a Kd of 108 nM.PolyP and heparin promote thrombin binding to fibrin clots by 48% and 30%, respectively (Figure ).Thrombin binds fibrin with a Kd of 5.6 µM in the absence of a polyanion; the affinity is 3-and 14-fold higher in the presence of polyP or heparin, respectively (Table ).The heparin-catalyzed rate of thrombin inhibition by antithrombin is 14-fold lower in the presence of fibrin than in its absence.In contrast, with polyP, the rate of inhibition is 3-fold faster with fibrin than without it.Whereas fibrin-bound thrombin promotes fibrin accretion in the presence of heparin, there is no promotion of fibrin accretion in the presence of polyP.Image: Effect of polyP and unfractionated heparin in thrombin binding to fibrin clot.Conclusion(s): Like heparin, polyP binds thrombin and fibrin(ogen) and promotes thrombin binding to fibrin.Whereas thrombin assembled within the heparin-thrombin-fibrin complex is protected from inhibition by antithrombin and is procoagulant, thrombin within the polyP-thrombinfibrin is not.These findings identify important differences in the mechanisms and consequences of polyanion interactions with thrombin and fibrin.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.260
GPT teacher head0.454
Teacher spread0.194 · 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 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

Citations0
Published2023
Admission routes1
Has abstractno

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