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Record W2980630697 · doi:10.1182/blood-2018-99-110247

Thrombin Generation Impairments in Platelet Function Disorders

2018· article· en· W2980630697 on OpenAlexaffabout
Justin Brunet, Subia Tasneem, Georges E. Rivard, Catherine P.M. Hayward

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsMcMaster University Medical CentreHamilton Regional Laboratory Medicine ProgramCentre Hospitalier Universitaire Sainte-JustineMcMaster University
Fundersnot available
KeywordsPlateletMedicinePlatelet disorderThrombinImmunologyPopulationInternal medicineBioinformaticsBiology

Abstract

fetched live from OpenAlex

Abstract Many platelet function disorders (PFD) present as uncharacterized disorders that impair aggregation responses to multiple agonists and/or cause non-syndromic dense granule deficiency (DGD). We postulated that some of these commonly encountered PFD might also impair the ability of platelets to support thrombin generation, given that an important subgroup are caused by mutations in transcription factors, such as RUNX1, that impair multiple aspects of platelet function. Accordingly, we initiated a study of thrombin generation (TG) in a prospective cohort of individuals presenting with an uncharacterized PFD. In addition, we reassessed how Quebec platelet disorder (QPD, previously called Factor V Quebec) affects coagulation as this disorder (which is caused by a duplication mutation of PLAU) triggers intraplatelet (but not systemic) plasmin generation and proteolysis of platelet but not plasma factor V (FV), and the normal plasma FV might potentially compensate for the loss of platelet FV in QPD. The study was conducted with written informed consent of participants and with the approval of the Hamilton Integrated Research Ethics Board and the Research Ethics Board of Centre Hospitalier Universitaire Sainte Justine. Participants included: 1) five individuals with QPD; 2) eighteen individuals presenting with an uncharacterized PFD and confirmed reduced maximal aggregation responses to ≥2 agonists and/or confirmed DGD, including five that had a pathogenic RUNX1 mutation; and 3) eighteen similarly-aged general population controls. TG was assessed by the calibrated automated thrombogram (CAT) procedure on a Fluoroskan (Thermo Fisher Scientific AG, Reinach, Switzerland) using Thrombinoscope software (Synapse BV, Maastricht, The Netherlands), manufacturer- and ISTH-recommended protocols and reagents for testing platelet poor plasma (PPP) and platelet rich plasma (PRP). Endpoints included: endogenous thrombin potential (ETP, nM·min), peak thrombin concentration (nM), time-to-peak (min) and lag time (min). Platelet lysate and plasma FV concentrations were determined by enzyme-linked immunoassay. Data were analyzed using Mann-Whitney tests with Bonferroni correction for multiple comparisons. All TGA endpoints for PPP were comparable for controls and participants with PFD, including QPD (p values ≥0.10). In TGA with PRP, most PFD participants had findings similar to controls, however, the subgroups with pathogenic RUNX1 mutations or QPD had significantly reduced ETP and peak thrombin concentration compared to controls (data as median [range]: ETP: controls: 1860 [1530-2630]; RUNX1 mutation subgroup: 1520 [805-1640], p=0.004; QPD: 1370 [981-2010], p=0.01; peak thrombin concentration: controls: 111 [65-152]; RUNX1 mutations: 66 [32-93], p=0.006; QPD: 59 [41-91], p=0.005). Plasma FV levels were similar in all subjects (µg/ml PPP, median [range]: controls: 7.7 [6.3-10.7]; QPD: 8.4 [7.0-10.2], p=0.33; other PFD: 7.5 [5.4-12], p=0.74) and showed no significant association to TG endpoints for PPP or PRP (p values ≥0.14). Only QPD subjects had platelet FV deficiency (µg FV/mg platelet protein, median [range]: controls: 0.89 [0.63-1.54]; QPD: 0.35 [0.18-0.46], p<0.001; other PFD: 0.83 [0.47-1.75], p=0.48; RUNX1 mutation subgroup: 0.73 [0.50-1.53], p=0.41). In QPD, but not other participants, platelet FV showed a significant association to ETP (R2=0.81, p=0.04) and peak TG endpoints (R2=0.88, p=0.01). Our study illustrates that platelet-dependent thrombin generation, evaluated by CAT, is abnormal in QPD but normal in many uncharacterized PFD with defective aggregation and/or DGD except for the important subgroup with pathogenic RUNX1 mutations, which impair TG but do not reduce platelet FV (unlike QPD). In QPD, the platelet-dependent TG defect shows a unique relationship to the platelet FV deficiency, which suggests that the normal levels of plasma FV are insufficient to compensate for the platelet procoagulant abnormalities in this PFD. 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.251
Teacher spread0.238 · 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
Published2018
Admission routes2
Has abstractyes

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