On the origin of matrix metalloproteinase-2 and -9 in blood platelets
Bibliographic record
Abstract
To date, several matrix metalloproteinases (MMPs) have been identified in human platelets. In most research studies, the platelets are obtained using the isolation method from plasma by centrifugation and washing. The metalloproteinase content in the platelets can be affected by the isolation technique and the leukocyte contamination. In this work, we studied the influence of the isolation method on the detection of platelet MMPs and explore the expression of these enzymes in megakaryoblastic MEG-01 cells. We investigated the expression of mRNAs encoding for MMP-2 and -9 in platelets and MEG-01 cells. Using gelatin zymography and western blotting, we examined the expression and release of MMP-2 and 9 by platelets and MEG-01 cells and checked whether the amount of the released MMPs depends on the volume of tested platelet and leukocyte contamination. To investigate the MMP-2 expression profile, we used zymography and flow cytometry. Platelets, in contrast to the MEG-01 cells, neither contain mRNA for MMP-2 nor -9. The platelets contain pro-MMP-2 and release it during the activation. The population of uncontaminated (leukocytes<0.02%) platelets contained no MMP-9 or the active form of MMP-2. We have observed that the activity of MMP-2 in platelet lysate is proportional to their mean volume and that the MMP-2 activity may not be detected if very small platelets are examined. We conclude that the detection of gelatinases in platelets depends on platelet isolation techniques and the degree of leukocyte contamination.
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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".