Immune mechanisms in heparin‐induced thrombocytopenia: no evidence for immunoglobulin M anti‐idiotype antibodies
Bibliographic record
Abstract
BACKGROUND: Heparin-induced thrombocytopenia (HIT), which is caused by platelet (PLT)-activating immunoglobulin (Ig)G antibodies against platelet factor 4 (PF4)/heparin complexes, differs from other immune responses seen in immunohematology: IgG antibodies are formed as early as 5 days even without previous heparin exposure; antibodies are remarkably transient (<100 days); HIT is more frequent in postsurgery patients compared with medical patients despite administering the same type and dose of heparin; and increasing evidence implicates autoantibody-like reactivity of anti-PF4/heparin antibodies. We hypothesized that these unusual features could be caused by loss of regulatory anti-idiotype IgM antibodies due to disturbance (e.g., by surgery) of an idiotype-anti-idiotype network. STUDY DESIGN AND METHODS: Sera were obtained prospectively before heparin administration and during the immunization phase of HIT and also from patients with previous HIT after waning of antibodies to nondetectable levels. To detect inhibitory IgM anti-idiotype antibodies, we performed serum coincubation experiments and IgG purification by protein G and size filtration to exclude coprecipitating IgM. Sera (n = 3) containing known anti-PF4/heparin IgG or IgM antibodies and normal sera (n = 20) were processed as controls. RESULTS: Fifteen preimmune response sera (seroconverting in the PF4/heparin-IgG enzyme-linked immunosorbent assay only [n = 4] or additionally in a PLT activation assay [n = 5] or in both assays plus thrombosis [n = 6]) and four sera of previously immunized patients were included. Neither did the neat sera inhibit binding of anti-PF4/heparin antibodies nor did the purified IgG fractions show enhanced binding to PF4/heparin complexes. CONCLUSION: The atypical immunologic features of HIT do not appear to be caused by disruption of an idiotype (IgG)-anti-idiotype (IgM) network.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".