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Record W4310120105 · doi:10.1182/blood-2022-159053

Investigating the Role of Von Willebrand Factor (VWF) in Modulating <i>In Vivo</i> angiogenesis in VWF-Deficient Mice

2022· article· en· W4310120105 on OpenAlexaff
Edwin Ocran, Erin Burnett, Mackenzie Bowman, Orla Rawley, Matthew Cormier, Donald H. Maurice, David Lillicrap, Paula D. James

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsVon Willebrand factorAngiogenesisIn vivoVon Willebrand diseaseImmunologyMedicineBiologyMolecular biologyPlateletCancer researchGenetics

Abstract

fetched live from OpenAlex

Background: Previous studies have demonstrated the negative regulatory role of von Willebrand Factor (VWF) in angiogenesis involving extracellular and intracellular pathways that promote vascular endothelial growth factor (VEGF) signaling. These findings have provided direct evidence for the longstanding association between inherited and acquired abnormalities of VWF and the formation of angiodysplastic lesions, which continue to remain a major challenge. Understanding the role of VWF in angiogenesis could reveal new therapeutic targets that may lead to improved patient management strategies. Aim: To examine the impact and mechanisms of localized VWF replacement on in vivo angiogenesis in a VWF-deficient mouse model. Methods: Three separate experiments were carried out in 10 to 12-week old C57Bl/6 VWF-/- mice of both sexes. In all experiments plugs were excised after seven days of incubation and processed for hematoxylin and eosin (H&E) and immunohistochemical staining (IHC) to assess vessel formation and vascular permeability/maturity, except for the directed in vivo angiogenesis assay (DIVAA) where there was technical difficulty in obtaining histological sections. In the first experiment, DIVAA was employed to decrease inter-assay variability. Angioreactors containing Matrigel mixed with fibroblast growth factor (FGF), VEGF and varying doses of recombinant VWF (rVWF, VONVENDI®) were implanted subcutaneously in the right back flank of mice. Similar angioreactors without rVWF were implanted in the left back flank of mice as a control (N=15, 3 per dose group). In the second experiment the in vivo Matrigel plug assay was used to enable histological evaluation of plugs. 300 μL of Matrigel mixed with FGF, VEGF and rVWF at 0.5IU/ml and 10.0IU/ml, was injected subcutaneously in the right back flank of each mouse based on dose group. In the left back flank, an equal volume of Matrigel without rVWF was injected as a control (N=12, 6 per dose group of rVWF). The setup of the last experiment was similar to the second, however, Matrigel was supplemented with normal endothelial-colony-forming cells (ECFCs) as the source of localized VWF in place of rVWF, in a titration curve of cell numbers (1 x 105, 5 x 105, 1 x 106 cells; N=15, 3 per dose group). Results: Generally, there was a dose response gradient across all three experiments, with higher doses of rVWF or ECFC titres yielding more pronounced effects. In comparison to the lightly coloured angioreactors from the experimental group (supplemented with rVWF), those from the control group were dark red in colour indicating the presence of more vessels and erythrocytes in the Matrigel. No clear differences were observed between plugs that received rVWF at 0.5 IU/ml and those that did not, both grossly and histologically. Most plugs with 10 IU/ml of rVWF appeared lighter in colour compared to those without rVWF. A similar pattern was observed on H&E staining with sections from plugs supplemented with rVWF showing fewer capillaries and red cells, compared with plugs that had only growth factors (Figure 1A). In line with these observations, IHC quantitation of endothelial cells (ECs), pericytes and smooth muscle cells showed a decrease in capillary formation and vessel maturity in rVWF supplemented plugs, although this did not reach significance (Figure 1B). Compared to plugs that had ECFCs, those without ECFCs were dark red in colour, indicating the presence of more mature vessels with red cells. H&E staining of control plugs showed increased cellular infiltrate and capillary formation compared to those supplemented with ECFCs. Immunostaining of control Matrigel plugs also showed increased vascularization and maturity of vessels as evidenced by higher signals for neural/glial antigen 2 (NG2) stain for pericytes and alpha-smooth muscle actin (ASMA) which stains smooth muscle, compared to plugs with ECFCs across all groups. Conclusion: Despite clear differences observed in the gross images of plugs, no significant differences were seen following microscopic quantitation. This was possibly due to the small sample size per group and the marked variability between data points. However, considering the data reported above, the findings appear to highlight a potential inhibitory role of VWF in angiogenesis. Further experimentation is required to establish whether localized VWF can reverse the proangiogenic phenotype observed in VWF-deficient mice. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.010
GPT teacher head0.222
Teacher spread0.212 · 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
Published2022
Admission routes1
Has abstractyes

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