Inhibition of annexin V binding to cardiolipin and thrombin generation in an unselected population with venous thrombosis.
Bibliographic record
Abstract
OBJECTIVE: To examine the effect on annexin V binding to cardiolipin (CL) and in vitro thrombin generation by plasma samples from an unselected population of patients with confirmed venous thrombosis and matched controls. The prevalence of autoimmune antiphospholipid antibodies (aPL) was also determined. METHODS: A total of 111 patients who presented to a single emergency room with symptoms suggestive of venous thromboembolic (VTE) disease were studied. In 34 patients the diagnosis of lower limb deep venous thrombosis (DVT) and/or pulmonary embolus (PE) was confirmed (VTE+ group). In the remaining 77 patients the diagnostic workup was negative (VTE- group). Plasma samples were collected prior to the initiation of anticoagulation and examined for IgG anticardiolipin (aCL), IgG anti-beta2-glycoprotein I (GPI), and IgG anti-prothrombin (aPT antibodies) by ELISA. In addition, the effect of individual patient and control plasma samples on annexin V binding to CL and on in vitro thrombin generation was determined by a competitive ELISA and a chromogenic assay, respectively. RESULTS: The prevalence and levels of IgG aCL, anti-beta2-GPI, and aPT antibodies were similar in the VTE+ and VTE- groups. However, plasma samples from the VTE+ group caused a significant inhibition of in vitro thrombin generation (mean +/- SD Z score: -0.66 +/- 0.97 vs 0.26 +/- 1.46; p < 0.001) and a concurrent but less impressive inhibition of annexin V binding to CL (mean +/- SD Z score: -2.53 +/- 1.44 vs -2.05 +/- 1.61; p = 0.123). Upon analyzing a panel of clinical and laboratory variables, only age and inhibition of thrombin generation were significantly associated with VTE disease. CONCLUSION: Our findings suggest that subtle abnormalities in annexin V physiology may contribute to the procoagulant state in patients with idiopathic venous thrombosis.
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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 | 0.002 |
| 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) | 0.001 | 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".