Thrombin Activable Fibrinolysis Inhibitor (TAFI): Molecular Genetics of an Emerging Potential Risk Factor for Thrombotic Disorders
Bibliographic record
Abstract
The balance between the activities of the coagulation and fibrinolytic cascades is crucial for normal hemostasis. However, imbalances can lead to pathological thrombotic events, as is observed in heart attacks and strokes, as well as excessive bleeding, as in hemophilia. Recent investigations have uncovered a novel molecular connection between the two cascades that has been termed thrombin-activable fibrinolysis inhibitor (TAFI) as well as procarboxypeptidase U, procarboxypeptidase R or plasma procarboxypeptidase B. TAFI is the precursor of an enzyme (TAFIa) with basic carboxypeptidase activity that attenuates the lysis of fibrin clots by removal of the carboxyl-terminal lysine residues from partially-degraded fibrin that mediate positive feedback in the fibrinolytic cascade. The plasma concentration of TAFI varies substantially (up to approximately 10-fold) in the human population and may constitute a novel risk factor for thrombotic disorders. Sixteen single nucleotide polymorphisms have been identified in the 5'-flanking, protein coding, and 3'-untranslated regions of the TAFI gene. The polymorphisms all have been shown to be associated with variations in plasma TAFI concentrations. One amino acid substitution has been found to directly alter the properties of the TAFIa enzyme. This review provides a general overview of the TAFI pathway, including a discussion of the spectrum of inhibitors of TAFIa that have been described, and summarizes the recent advances in the molecular genetics of the TAFI gene as well as the results of studies that may implicate the TAFI pathway in risk for arterial and venous thrombotic disorders.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".