The platelet concentrate storage environment may enhance the ability of <i>Cutibacterium acnes</i> to establish chronic infections
Bibliographic record
Abstract
BACKGROUND: Cutibacterium acnes contaminated platelet concentrates (PCs) are transfused due to late detection during culture-based screening. C. acnes has been implicated in mild adverse transfusion reactions; however, it harbors multiple virulence genes and can cause chronic infections in the clinical setting. Since the PC storage environment enhances virulence gene expression in bacteria like Staphylococcus aureus, this study aimed to evaluate the impact of PC storage on C. acnes virulence and its potential to cause chronic infections. STUDY DESIGN AND METHODS: PCs and media were inoculated with C. acnes (BPNBT-19195 and BPNBT-19329) and S. aureus (CBS 2016-05, control) PC isolates. Following incubation for 5 days (20-24°C/agitation), bacterial virulence was compared in the Bombyx mori (silkworm) model. Additionally, silkworm innate response (hemolymph melanization and superoxide dismutase activity (SOD)), adhesion to HEK293T epithelial cells, and differential expression of virulence genes involved in tissue invasion (hyl, mce) and persistence (roxP, lipase) were assessed in C. acnes samples. RESULTS: PC-derived C. acnes caused significantly lower larval mortality, hemolymph melanization, and SOD activity compared to media-derived counterparts; conversely, PC-derived S. aureus caused significantly higher larval mortality. Furthermore, PC-derived C. acnes displayed higher adherence to HEK293T cells and heightened virulence gene expression compared to media controls. DISCUSSION: Our data demonstrated that the PC milieu enhances the ability of C. acnes to adhere to mammalian epithelia and promotes the expression of genes involved in invasion and persistence in host tissue, potentially priming this bacterium to cause chronic infections in transfusion patients, which warrants further investigation.
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 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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".