Thrombin activatable fibrinolysis inhibitor gene polymorphisms are associated with antigenic levels in the Asian‐Indian population but may not be a risk for stroke
Bibliographic record
Abstract
Thrombin activatable fibrinolysis inhibitor [carboxypeptidase B2 (plasma), CPB2] is a basic carboxypeptidase, which inhibits fibrinolysis by cleaving the C-terminal lysine residues on plasmin-modified partially degraded fibrin. Plasma CPB2 concentrations have been reported to be under the control of numerous single nucleotide polymorphisms located in the regulatory and coding regions of the gene encoding CPB2 (CPB2). High functional CPB2 levels have been found to be associated with an increased risk for ischemic stroke. The present study investigated CPB2 antigen levels and associated CPB2 polymorphisms in an acute onset non-cardioembolic stroke population compared with an age- and sex-matched healthy control population. This is, to the best of our knowledge, the first such study done in an Asian Indian population. CPB2 antigen levels were significantly associated with the disease phenotype (P < 0.001) and with CPB2 polymorphisms (P < 0.001). The haplotypes generated on analysis of the genotypic data accounted for 21% of the natural variation in the CPB2 antigenic levels. However none of the haplotype combinations generated showed any association with disease phenotype and therefore could not explain for the difference in CPB2 antigen levels between cases and controls.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".