Development of an assay to quantify tranexamic acid levels in plasma
Bibliographic record
Abstract
Dysregulations during blood clot breakdown (fibrinolysis) during vascular trauma can lead to excessive blood loss. Tranexamic acid (TXA) is an inhibitor of fibrinolysis that works by blocking the interaction between plasminogen and fibrin degradation products (FDPs) – a key step in fibrinolysis. Despite the widespread usage, there are no tests available in a clinical setting to monitor TXA levels. We developed a fluorescence resonance energy transfer (FRET)-based assay to quantify TXA concentrations in plasma by using 1) fluorescently labeled plasminogen, and 2) FDPs labelled with a fluorescence quencher. Once plasminogen binds the FDPs, the fluorescent signal is quenched. TXA causes plasminogen to dissociate from the FDPs, thus increasing fluorescence signal in a dose-dependent manner. The dose response was sensitive between 1 and 100 μM (0.16 and 15.7 mg/L). The intraassay and interassay variabilities were determined to be 5.7% and 3.0%, respectively. Limit of detection was estimated to be 0.28 μM (0.044 mg/L). When tested for measuring known levels of TXA added to plasma samples, the ratio between measured and expected TXA concentration was 1.0151. Our study demonstrates a novel assay that can rapidly quantify TXA concentrations in plasma samples, thus demonstrating its potential as an in-hospital tool. • Currently there are no assays that can measure tranexamic acid (TXA) levels in clinical settings. • New fluorescence-based assay can measure TXA in plasma with a limit of detection of 0.28 μM. • The assay displays intraassay and interassay variability of 5.7% and 3.0%, respectively.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".