Contamination of platelet concentrates with <i>Staphylococcus aureus</i> induces significant modulations in platelet functionality
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Platelet concentrates (PCs) contaminated with Staphylococcus aureus can escape detection during PC screening, causing septic transfusion reactions. This study aimed to determine the impact of S. aureus contamination on platelet metabolism and functionality during PC storage. MATERIALS AND METHODS: Targeted metabolomics (N = 3) was performed on non-spiked PCs and PCs inoculated with 10-20 colony-forming units (CFU)/bag of S. aureus. Metabolites were quantified at 0, 48 and 144 h using high-performance mass spectrometry (MS). Additionally, PCs spiked with approximately 20 CFU/bag of S. aureus were sampled every 24 h for up to 144 h to evaluate platelet functionality using flow cytometry (N = 2). RESULTS: Eight metabolites had significantly different levels in spiked PCs (log2 fold-change ≤ or ≥±1) versus non-spiked units at 48 and 144 h. Xanthine, uridine, serine, glutamine and threonine were increased, whereas orotic acid, dihydroorotic acid and aspartic acid were decreased. Flow cytometry showed a significant decrease in expression of GPIIb while P-selectin expression was significantly increased in spiked PCs after 72 h of storage when S. aureus concentration was ≥10E+08 CFU/ml. Additionally, phosphatidylserine exposure was significantly increased after 48 h of PC storage, when S. aureus had reached a concentration of 2E+06. CONCLUSION: Contamination with S. aureus exacerbates platelet storage lesions in contaminated PCs but only when the bacterium has reached clinically significant levels.
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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) | 0.001 | 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".