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Control of Platelet Fibronectin Internalization and Cell Surface Retention by Fibrinogen: Lessons from Hypofibrinogemic Patients.

2006· article· en· W2566259940 on OpenAlexaff
Zhimin Zhai, Jingsheng Wu, Xiucai Xu, Keiyang Ding, Ran Ni, Wen Hu, Zimin Sun, Heyu Ni

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Blood ServicesSt. Michael's Hospital
Fundersnot available
KeywordsPlateletThrombospondinChemistryVitronectinInternalizationHemostasisThrombinPlatelet activationFibronectinMolecular biologyFlow cytometryInternal medicineEndocrinologyMedicineImmunologyCellBiologyBiochemistryMetalloproteinase

Abstract

fetched live from OpenAlex

Abstract Although fibrinogen (Fg) has been considered essential for platelet aggregation, we previously demonstrated that thrombi still formed in Fg-deficient mice. In these animals, platelet fibronectin (Fn) content is increased >3 fold, suggesting that Fn may play a role in thrombosis and hemostasis. However, it is unclear whether Fg controls human platelet Fn internalization. We recently identified severely hypofibrinogenaemic patient born from a consanguineous marriage (Xu X et al. Thromb and Haemost2006; 95: 931–5). The patient and his father had respective plasma Fg levels of 1.7mg/dL (approximately 20 times less than the normal level) and 10.5 mg/dL. We examined the platelet Fn content of the patient, his parents, and healthy donors by immuno-electron microscopy (IEM), western blot, and flow cytometry (FACS) using a rabbit anti-human Fn-specific antibody (Sigma, USA). Significant increase of patient platelet Fn content was detected by all three methods, in which mean fluorescence intensity (MFI) of the patient’s platelet Fn by FACS was 3-fold higher than healthy donors. No concomitant alteration of platelet thrombospondin-1 and vitronectin was detected. These data are consistent with our observations in animal models. To examine the role of platelet Fn content in platelet aggregation, we isolated human platelets via sepharose 2B gel filtration. Cell surface Fn expression after thrombin stimulation was examined by FACS. Surprisingly, although platelet Fn was increased, cell surface Fn was not increased. Rather, surface Fn was approximately 6-fold less than that of his father and 10-fold less than healthy donors. Using ELISA, we observed that the patient’s platelet Fn was mainly released into the extracellular medium after thrombin treatment since the supernantant contained 2–3 fold higher levels of Fn than that of healthy donors (472.8 ± 13 ng/mL versus 213.5 ±4.7 ng/mL). Since fibrin has been reported as a receptor of Fn on platelet surface, we tested the hypothesis that high expression of platelet surface Fn in healthy donors was due to fibrin formation on the platelet surface after thrombin treatment. Gel filtered platelets from healthy donors were treated with either thrombin or thrombin receptor activation peptide (TRAP, at 100μM). The latter is able to induce platelet Fg release but not fibrin formation. We found that fibrin was indeed expressed on the platelet surface after thrombin but not TRAP treatment, which were detected by both FACS and IEM with a monoclonal anti-fibrin specific antibody (clone T2G1, Accurate Bilchemicals, USA). Consistent with these data, Fn was only significantly detected on the surface after thrombin but not TRAP treatment (MFI = 10.9 ± 2.5 versus 1.3 ± 0.3). To the best of our knowledge, this is first report that thrombin converts platelet-released Fg to fibrin on the platelet surface. Our data also suggested that Fg not only controls platelet Fn internalization but also regulates platelet surface Fn retention by the fibrin-Fn interaction.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 integrity0.0000.001
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 head0.006
GPT teacher head0.207
Teacher spread0.201 · 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
Published2006
Admission routes1
Has abstractyes

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