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Fibronectin Is Not the Only Important Molecule Required for Fibrinogen/VWF-Independent Platelet Aggregation: Study of Thrombosis in a New Strain of Triple Deficient Mice.

2006· article· en· W2979315802 on OpenAlexaff
Reheman Adili, Yang Hong, Christopher M. Spring, Pingguo Chen, Denisa D. Wagner, Reinhard Fässler, John Freedman, Heyu Ni

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Blood ServicesUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsPlateletFibrinogenVon Willebrand factorChemistryKnockout mouseThrombinFibronectinThrombusPlatelet activationIntegrinPlatelet adhesivenessInternal medicineEndocrinologyImmunologyMolecular biologyReceptorBiologyBiochemistryMedicineExtracellular matrixPlatelet aggregation

Abstract

fetched live from OpenAlex

Abstract Fibrinogen (Fg) has been considered essential for platelet aggregation. We demonstrated, however, that thrombi do form in Fg-deficient mice and in mice doubly deficient for both fibrinogen and von Willebrand factor (Fg/VWF−/−). We further reported that β3 integrin and thrombin are critical for this Fg/VWF-independent platelet aggregation. In Fg−/− or Fg/VWF−/− mice, platelet fibronectin (Fn) content is increased 3–5 fold. Furthermore, thrombus growth and stability are impaired in plasma Fn conditional deficient (M×-Cre, Fnflox/flox) mice. These data are consistent with the most recent studies of Fn assembly and suggest that Fn may support platelet thrombus formation. To examine whether Fn is the alternative key molecule which mediates platelet aggregation and thrombus formation in Fg/VWF−/− mice, we developed a novel strain of triple knockout (TKO) mice by breeding Fg/VWF−/− mice with M×-Cre+/− Fnflox/flox conditional knockout mice. Cre- littermates delivered from the same parents were used as a control. Fn depletion was induced by i.p. injections of polyinonic-polycytidylic acid. We found that TKO mice are viable with dramatically decreased levels of Fn in both the plasma (<2% of control) and platelets (<20% of control) as determined by immunoblot. No significant difference was found in peripheral blood cell counts or platelet surface adhesion proteins (GPIbα, P-selectin, β3 and β1 integrins) as compared with control mice. Unexpectedly, TKO platelet aggregation induced by thrombin and thrombin receptor activation peptide (TRAP) was enhanced in both platelet rich plasma and PIPES buffer (P<0.05). This phenomenon was also observed in a parallel-plate flow chamber. Significantly more TKO aggregates formed when fluorescently labelled whole blood was perfused over a collagen surface at 500s−1 (P<0.001). We also studied thrombus formation in TKO and Cre- control mice using intravital microscopy. Our preliminary data showed no obvious decrease in thrombus formation in TKO mice and injured arterioles occluded in one of two experimental mice. Our data suggest that Fn is not the only important molecule required for platelet aggregation and thrombus formation in Fg/VWF−/− mice. Further investigation of how Fn may inhibit Fg/VWF-independent platelet aggregation and the identification of what ligand(s) support this novel aggregation pathway may unveil an alternative haemostatic pathway in the absence of Fg and VWF.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.275
Teacher spread0.251 · 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
Published2006
Admission routes1
Has abstractyes

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