Differential release of matrix metalloproteinase‐9 and nitric oxide following infusion of endotoxin to human volunteers
Bibliographic record
Abstract
BACKGROUND: Roughly 400.000 cases of sepsis occur every year in the United States only and this is associated with a very high mortality. Bacterial lipopolysaccharide (LPS) triggers systemic inflammatory reactions in sepsis. However, down-stream cellular cascade initiated by LPS is still being elucidated. Nitric oxide (NO) and matrix metalloproteinases-2 and -9 (MMP-2 and MMP-9) are known to be induced by LPS. We have investigated the release of NO, MMP-2 and MMP-9 following infusion of LPS to volunteers. METHODS: IPS (2 ng kg-1) was infused to 10 healthy volunteers. Before the experiments were started the subjects had an intravenous catheters placed. An electrocardiogram was also placed and monitored constantly. Body temperature was measured by ear thermometer every 10 min Venous blood was collected and cell-free plasma assayed for the presence of MMP-2 and MMP-9 using zymography and NO using HPLC assay for NO metabolites, nitrite and nitrate. RESULTS: The administration of LPS resulted in increased body temperature and tachycardia. Time-dependent release of MMP-9(30 fold increase from the baseline) peaking at 2 h following infusion of LPS was observed. LPS did not significantly modify the activity of MMP-2 (P > 0.05). Infusion of LPS did not significantly change the levels of nitrite and nitrate (from 60 +/- 11 to 67 +/- 10 micro m, P > 0.05). CONCLUSION: The release of MMP-9, but not MMP-2 or NO, is a sensitive index of endotoxaemia in humans. MMP-9 release may contribute to the pathogenesis of sepsis via its pro-inflammatory effects on the vasculature.
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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) | 0.001 | 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".