Sepsis- and endotoxemia-generated cytokines do not trigger activation of human platelets
Bibliographic record
Abstract
OBJECTIVE: To analyze the effect of cytokines generated in sepsis and endotoxemia (tumor necrosis factor [TNF]-alpha and interleukins [IL]-1beta, -6, and -8) on activation of human platelets and to study the effect of cytokines on platelet activation in the presence of alpha-thrombin, a potent inducer of coagulation and platelet activation generated in sepsis and endotoxemia. DESIGN: flow cytometric study of platelet activation induced by cytokines and/or thrombin in the whole blood and platelet-rich plasma (PRP) of healthy volunteers. SETTING: Research laboratory in a Canadian hospital. SUBJECTS: Nine healthy volunteers recruited from laboratory staff. MEASUREMENTS AND MAIN RESULTS: Venous blood samples were obtained into acid-citrate-dextrose anticoagulant. Whole blood and PRP were diluted with appropriate buffer optimized for analyzing platelet activation by flow cytometry. TNF-alpha, IL-1beta, IL-6, and IL-8 were added to blood or PRP in concentrations ranging from 1 to 100 ng/mL and incubated for 15 mins at 37 degrees C in the presence or absence of a submaximal concentration of human alpha-thrombin (0.025 units/mL). Samples were stained with fluorescent antibodies against markers of platelet activation (P-selectin [CD62], lysosomal protein [CD63], and fibrinogen and von Willebrand factor receptors [CD41 and CD42b, respectively]) and analyzed by flow cytometry. The data obtained show that none of these cytokines trigger activation of resting platelets in whole blood or PRP and do not modulate the effect of thrombin on platelet activation as measured by quantitation of CD62, CD63, and CD42b markers on the platelet surface. CONCLUSIONS: Cytokines TNF-alpha, IL-1beta, IL-6, and IL-8, which are extensively produced in sepsis and endotoxemia, do not trigger activation of resting human platelets directly or indirectly by mediating processes in white or red blood cells. The cytokines did not affect thrombin-induced platelet activation.
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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 | 0.001 |
| 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) | 0.002 | 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".