Effect of ascorbate on fibrinolytic factors in septic mouse skeletal muscle
Bibliographic record
Abstract
Plugging of the capillary bed in tissues correlates with organ failure during sepsis. In septic mouse skeletal muscle, we showed that blood in capillaries becomes hypercoagulable and that ascorbate injection inhibits capillary plugging. In the present study, we hypothesized that ascorbate promotes fibrinolysis, reversing this plugging. Sepsis in mice was induced by fecal injection into peritoneum. Mice were injected intravenously with a bolus of streptokinase (fibrinolytic agent) or ascorbate at 5-6 h. Both agents reversed capillary plugging in muscle at 7 h. Sepsis increased mRNA expression of urokinase plasminogen activator (u-PA) (profibrinolytic) and plasminogen activator inhibitor 1 (PAI-1) (antifibrinolytic) in muscle and liver homogenates at 7 h. Ascorbate did not affect u-PA mRNA in either tissue, but it inhibited PAI-1 mRNA in muscle, suggesting enhanced fibrinolysis in this tissue. However, ascorbate did not affect increased PAI-1 mRNA in the liver (dominant source of soluble PAI-1 in systemic blood). Consistently, ascorbate affected neither elevated PAI-1 protein/enzymatic activity in septic liver nor lowered plasmin antiplasmin level in septic blood. Furthermore, hypocoagulability of septic blood revealed by thrombelastography and thrombin-induced PAI-1 release from isolated platelets (ex-vivo model of sepsis) were not affected by ascorbate. Based on the PAI-1 protein data, the present study does not support the hypothesis that ascorbate promotes fibrinolysis in sepsis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".