Prevalence and characterization of anti-VWF antibodies in a population of patients with type 3 VWD
Bibliographic record
Abstract
ABSTRACT: von Willebrand disease (VWD) is an inherited bleeding disorder caused by quantitative or qualitative defects in the von Willebrand factor (VWF) protein. Type 3 VWD has a severe bleeding phenotype caused by the absence of VWF, in which treatment usually involves replacement therapy with VWF-containing products. The immune system can react to the VWF product and form anti-VWF antibodies to neutralize or clear the VWF, which can compromise efficacy of treatment or lead to anaphylaxis. Current diagnostic testing is limited to the detection of anti-VWF antibodies that neutralize VWF binding to platelets by using a ristocetin cofactor assay. We set out to develop assays to identify both neutralizing and nonneutralizing antibodies to screen, quantify, and characterize anti-VWF antibodies in samples from the Zimmerman Program, a large multicenter study of patients with VWD. We detected anti-VWF immunoglobulin G (IgG) or IgM antibodies in 18% of 49 unrelated individuals with type 3 VWD. The antibodies ranged in concentration and consisted of 33% nonneutralizing and 67% neutralizing to factor VIII, collagen III, platelet glycoprotein Ib alpha (GPIbα), and/or collagen IV binding. Of the positive type 3 VWD samples, 8 of 9 were IgG, which were further subclassified into mostly IgG1 and IgG4 antibodies. Through a series of testing methods, we identified VWF-specific antibodies in 9 unrelated individuals with type 3 VWD with varying demographics, bleeding phenotypes, and genetic variants. This anti-VWF antibody testing strategy provides a useful tool to assess risk and better navigate treatment options for patients with type 3 VWD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".