| Literature DB >> 29847840 |
Nina Buchtele1, Michael Schwameis2, James C Gilbert3, Christian Schörgenhofer1, Bernd Jilma1.
Abstract
Despite great efforts in stroke research, disability and recurrence rates in ischaemic stroke remain unacceptably high. To address this issue, one potential target for novel therapeutics is the glycoprotein von Willebrand factor (vWF), which increases in thrombogenicity especially under high shear rates as it bridges between vascular sub-endothelial collagen and platelets. The rationale for vWF as a potential target in stroke comes from four bodies of evidence. (1) Animal models which recapitulate the pathogenesis of stroke and validate the concept of targeting vWF for stroke prevention and the use of the vWF cleavage enzyme ADAMTS13 in acute stroke treatment. (2) Extensive epidemiologic data establishing the prognostic role of vWF in the clinical setting showing that high vWF levels are associated with an increased risk of first stroke, stroke recurrence or stroke-associated mortality. As such, vWF levels may be a suitable marker for further risk stratification to potentially fine-tune current risk prediction models which are mainly based on clinical and imaging data. (3) Genetic studies showing an association between vWF levels and stroke risk on genomic levels. Finally, (4) studies of patients with primary disorders of excess or deficiency of function in the vWF axis (e.g. thrombotic thrombocytopenic purpura and von Willebrand disease, respectively) which demonstrate the crucial role of vWF in atherothrombosis. Therapeutic inhibition of VWF by novel agents appears particularly promising for secondary prevention of stroke recurrence in specific sub-groups of patients such as those suffering from large artery atherosclerosis, as designated according to the TOAST classification. Schattauer GmbH Stuttgart.Entities:
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Year: 2018 PMID: 29847840 PMCID: PMC6193403 DOI: 10.1055/s-0038-1648251
Source DB: PubMed Journal: Thromb Haemost ISSN: 0340-6245 Impact factor: 5.249
Longitudinal studies on the association between vWF and ischaemic stroke
| Reference | Sample size | Study name | Follow-up + new events | Association | Results | Adjusted OR/RR + covariates |
|---|---|---|---|---|---|---|
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Smith et al
| 1,592 subjects | Part of ‘Edinburgh Artery study’ | 5 y | vWF:Ag and risk of stroke by 1 SD increase | RR: 1.27 (CI, 0.95–1.72) | RR: 1.15 (0.85–1.57) |
| Adjustments: age and sex | Adjustments: age, sex, systolic blood pressure, LDL cholesterol, smoking status and baseline disease | |||||
|
Folsom et al
| 14,713 subjects | Part of ‘Atherosclerosis Risk in Communities study’ | 6–9 y | vWF:Ag and risk of IS by 1 SD increase | RR: 1.36 (1.2–1.5) | RR: 1.26 (1.12–1.43) |
| Adjustments: age, sex, community, race (except where stratified), systolic blood pressure and anti-hypertensive medication status (except where stratified), left ventricular hypertrophy, diabetes, HDL cholesterol, LDL cholesterol, waist-to-hip ratio, education and smoking status and amount | ||||||
|
Smith et al
| 2,398 males | Part of ‘The Caerphilly study’ | 13 y | vWF:Ag and risk of IS in highest tertile | HR for IS: 0.98 (0.62–1.56) | HR: 0.97 (0.61–1.56) |
| Adjustments: age | Adjustments: age, smoking status, diabetes, systolic blood pressure, total cholesterol, HDL cholesterol, total triglycerides, body mass index and family history of premature coronary heart disease | |||||
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Ohira et al
| 14,448 subjects | Part of ‘Atherosclerosis Risk in Communities study’ | 13 y | vWF:Ag and risk of IS sub-types by 1 SD increase | RR: | RR: |
| Adjustments: age, sex and race | Adjustments: age, sex, race, waist-to-hip ratio, systolic blood pressure, smoking status, anti-hypertensive medication, diabetes mellitus, history of chronic heart disease, left ventricular hypertrophy, education level, HDL cholesterol, lipoprotein(a) and white blood count | |||||
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Tzoulaki et al
| 1,592 subjects | Part of ‘Edinburgh Artery Study’ | 17 y | vWF:Ag and CVD in highest tertile | HR: 1.42 (1.09–1.85) | HR: 1.33 (1.02–1.74) |
| Adjustments: age and sex | Adjustments: age, sex, sub-clinical disease, pack-years smoking, diabetes, BMI, total/HDL cholesterol, physical activity and history of CVD | |||||
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Wieberdink et al
| 6,250 subjects | Part of the ‘Rotterdam Study’ | 5 y | vWF:Ag levels and IS by 1 SD increase | HR: 1.13 (0.99–1.29) | HR: 1.12 (0.98–1.27)* |
| Adjustments: age and sex | Adjustments: *adjusted for age, sex, systolic blood pressure, diabetes mellitus, total cholesterol, HDL cholesterol, lipid-lowering medication, smoking status, waist-to-hip ratio, atrial fibrillation, coronary heart disease, peripheral arterial disease and anti-thrombotic medication; †adjusted for all mentioned above and ABO blood group | |||||
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Wannamethee et al
| 3,358 men | Part of ‘The British Regional Heart Study’ | 9 y | vWF:Ag levels and IS by 1 SD increase | HR: 1.24 (1.08–1.43) | HR: 1.25 (1.09–1.45)* |
| Adjustments: Age | Adjustments: *age, smoking status, alcohol intake, body mass index, social class, physical activity, forced expiratory volume in 1 second, prevalent angina, diabetes, use of anti-hypertensive treatment and systolic blood pressure; †adjusted for all mentioned above and CRP | |||||
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Sonneveld et al
| 5,941 subjects | Part of the ‘Rotterdam Study’ | 11 y | -Lowest versus highest quartile ADAMTS13 | - HR: 1.61 (1.15–2.26) | - HR: 1.65 (1.16–2.32) |
| -Per 1 SD decrease | - HR 1.18 (1.04–1.33) | - HR: 1.19 (1.05–1.34) | ||||
| -Lowest quartile ADAMTS13 activity + highest quartile VWF:Ag levels and IS | - HR: 1.72 (1.20–2.47) | - HR: 1.71 (1.19–2.45) | ||||
| Adjustments: age and sex | Adjustments: all: age, sex, anti-thrombotic medication, anti-hypertensive drugs, diabetes mellitus, lipid-reducing agents, BMI, smoking, total cholesterol, HDL cholesterol, systolic blood pressure and diastolic blood pressure | |||||
Abbreviations: Ag, antigen; BMI, body mass index; CaVD, cardiovascular disease; CE, cardioembolic; CI, confidence interval; CRP, C-reactive protein; CVD, cerebrovascular disease; HDL, high-density lipoprotein; HR, hazard ratio; IS, ischaemic stroke; LDL, low-density lipoprotein; OR, odds ratio; RR, relative risk; SD, standard deviation; TIA, transient ischaemic attack; vWF, von Willebrand factor.
Note: We searched Pubmed up to January 1, 2018 using the keywords ‘vWF’, ‘ischaemic stroke’, ‘risk’ and ‘outcome’ and reviewed previous studies investigating the association between vWF:Ag and pp levels as well as vWF activity measurements and the risk of and outcome in ischaemic stroke. We identified 8 longitudinal studies, which are summarized in this table.
Laboratory methods to determine von Willebrand factor levels
| Measurement | Principle | Method | Advantage | Disadvantage | |
|---|---|---|---|---|---|
|
vWF antigen (vWF:Ag)
| Quantity | Antibody captures protein | ELISA, LIA or flow cytometry | High availability in laboratories | Different cut-off values for different assays |
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vWF propeptide (vWF:pp)
| Quantity | Antibody captures protein | ELISA | Sensitive parameter for vWF release | Different cut-off values for different assays |
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vWF ristocetin co-factor (vWF:RCo)
| Activity | Ristocetin induces platelet aggregation through GPIb–vWF interaction | Aggregometry, standard coagulation instruments, LIA or flow cytometry | High availability in laboratories | High variation of coefficients |
| vWF collagen binding (vWF:CB) | Activity | Collagen induces vWF binding | ELISA or flow cytometry | Sensitivity to high molecular weight vWF | Lack of comparative data |
| vWF activity | Activity | Recombinant gain of function GPIb binds to vWF | LIA or ELISA | Easy performance and automation | Lack of comparative data |
Abbreviations: ELISA, enzyme-linked immunosorbant assay; GPIb, glycoprotein Ib; LIA, latex-particle immunoassay; vWF, von Willebrand factor.
Note: Key points for different assessment of von Willebrand factor.
Indicates tests used in stroke studies.
Human studies of investigational von Willebrand inhibitors
| Human studies | |||||
|---|---|---|---|---|---|
| Name | Type | Target | Underlying disease | Outcome | Reference |
| ARC1779 | DNA/RNA aptamer | GPIbα-vWF | vWD type II | Desmopressin-induced thrombocytopenia |
Jilma et al
|
| Acquired and congenital TTP | Pharmacokinetics, pharmacodynamics, safety |
Jilma-Stohlawetz et al
| |||
| Carotid stenosis | Inhibition of micro-embolic signals up to 3 h after carotid endarterectomy |
Markus et al
| |||
| AJW200 | Monoclonal antibody | GPIbα-vWF | Healthy volunteers | Safety |
Machin et al
|
| rADAMTS13 | Recombinant ADAMTS13 | Ultra-large vWF multimers | Congenital TTP | Safety |
Scully et al
|
| Anfibatide | Snake venom derived | GPIbα-vWF | Healthy volunteers | Safety |
Hou et al
|
| ALX-0081 | Nano-body | GPIbα-vWF | Acquired TTP | Time to normalization of platelet count; number of exacerbations and relapses |
Peyvandi et al
|
Abbreviations: GP, glycoprotein; TTP, thrombotic thrombocytopenic purpura; vWD, von Willebrand disease; vWF, von Willebrand factor.
Fig. 1Scheme of von Willebrand factor (vWF) under high shear rates. Legend: Different mechanisms of actions of investigational von Willebrand factor inhibitors are described, i.e., GPIbα-vWF, ultra-large vWF multimers (recombinant ADAMTS13) and collagen-vWF. GP, glycoprotein.