Anti-beta2-glycoprotein I autoantibodies, in vitro thrombin generation, and the antiphospholipid syndrome.
Bibliographic record
Abstract
OBJECTIVE: Thrombin plays a pivotal role in the regulation of hemostasis. We examined the effect of antiphospholipid (aPL) antibodies, in particular those with specificity for beta2-glycoprotein I (beta2-GPI), on in vitro thrombin generation, and examined the association with clinical manifestations of the antiphospholipid syndrome (APS). METHODS: We studied plasma samples from 59 patients with aPL antibodies determined by the presence of either elevated anticardiolipin (aCL) antibodies or lupus anticoagulant (LAC). Direct antibody binding of IgG, IgM, and IgA to beta2-GPI and prothrombin (PT) was determined by ELISA. Affinity purification of total IgG and IgG anti-B2-GPI antibodies was performed using staphylococcal protein A and phospholipid liposomes. A chromogenic assay was used to determine the effect of plasma samples and purified autoantibodies on in vitro thrombin generation. RESULTS: Thirty-three of 59 (56%) plasma samples inhibited in vitro generation of thrombin and 7/59 (12%) accelerated thrombin formation. There was a strong negative correlation between thrombin generation and IgG aCL (r = -0.72, p < 0.001) and IgG anti-beta2-GPI (r = -0.71, p < 0.001) antibody levels, and a weaker correlation with LAC (r = -0.46, p = 0.001). This association was not found with anti-PT antibodies and could not be attributed to concurrent therapy with warfarin. Additional experiments with affinity purified IgG antibodies indicated a dose dependent inhibition of thrombin generation, which was restricted to anti-beta2-GPI antibodies. Patients with a history of core clinical manifestations of the APS [venous and arterial thrombosis, recurrent (> or = 2) fetal loss] had significantly greater inhibition of in vitro thrombin generation (mean +/- SEM Z score: -3.38 +/- 0.51 vs -1.42 +/- 0.56; p = 0.01) and higher levels of IgG aCL (mean +/- SEM Z score: 8.39 +/- 1.12 vs 5.39 +/- 0.88; p = 0.04) and IgG anti-beta2-GPI antibodies (mean +/- SEM Z score: 4.49 +/- 0.69 vs 2.26 +/- 0.54; p = 0.01). Odds ratios for these variables and clinical manifestations of the APS were 5.43, 4.17, and 3.28, respectively. CONCLUSION: aPL antibodies may accelerate or inhibit the rate of in vitro thrombin formation. The predominant effect is inhibition that is restricted to IgG anti-beta2-GPI antibodies and it is strongly associated with clinical manifestations of the APS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".