Staphylococcal Enterotoxins Modulate Platelet Response During Storage of Platelet Concentrates and Impair Silkworm Survival
Bibliographic record
Abstract
Platelet concentrates (PCs) are used to treat patients with platelet deficiencies. PCs are stored at 20–24 °C under agitation for up to 7 days to maintain platelet functionality, but these conditions are amenable for proliferation of contaminants such as Staphylococcus aureus, posing a risk for transfusion-transmitted infections. We investigated the contribution of staphylococcal enterotoxins (SEs) type G (SEG) and type H (SEH) to platelet activation, cytokine release, microRNA (miRNA) modulation, and in vivo virulence. PCs were inoculated with wildtype S. aureus CBS2016-05 or SE-deficient mutants (Δseg, Δseh, ΔΔsegh) and monitored during storage. Flow cytometry revealed progressive elevation of platelet activation markers CD62P and Annexin V in contaminated PCs, with significantly higher expression in wildtype compared to SE-mutant strains. Cytokine profiling demonstrated that SEs modulate pro- and anti-inflammatory mediators, notably CCL2, TGF-β1, IFN-γ, and TNF-α, implicating SEG in their regulation. Next-generation sequencing and RT-qPCR validation identified transient induction of immune-related microRNAs miR-98-5p, miR-146a-5p, miR-221-3p, miR-320a-3p, with SE-dependent expression patterns. In a silkworm infection model, wildtype S. aureus-contaminated PCs exhibited significantly higher lethality than SE-deficient strains, confirming toxin-mediated virulence. Collectively, these findings reveal that SEs exacerbate platelet activation and immune dysregulation during storage, enhancing bacterial pathogenicity. This study identifies platelet-derived cytokine and miRNA signatures as potential biomarkers of bacterial contamination and underscores the need to mitigate SE-driven platelet dysfunction to improve transfusion safety.
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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".