Small interfering RNAs targeting agrA and sarA attenuate pathogenesis of Staphylococcus aureus in Caenorhabditis elegans
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: The use of small interfering RNA (siRNA) gene silencing is a promising therapeutic option as it does not impose selective pressure on bacteria that is often associated with the development of resistance. The study assessed the effect of siRNA targeted to sarA and agrA in S. aureus and the relationship between the transcriptional response, biofilm formation and pathogenicity. METHODOLOGY: siRNAs designed against agrA and sarA were electroporated into methicillin-resistant and methicillin-susceptible S. aureus strains. mRNA levels, growth kinetics, biofilm formation and minimal inhibitory concentration were measured. Efficacy of siRNA in bacteria was assessed using survival assays in a C. elegans model. Differences in gene expression before and after siRNA treatment were anaysed using the paired t-test, while the log rank test was used to assess the significance of any difference among survival rates of nematodes. RESULTS: Biofilm formation decreased significantly in siRNA treated strains and growth rates of siRNA treated strains were significantly higher compared to untreated strains. We observed significant decreases in the transcriptional response in siRNA treated strains, with concomitant significant increases in the lifespan of C. elegans worms exposed to siRNA-treated versus untreated strains. CONCLUSIONS: siRNA targeted to agrA and sarA lowered mRNA transcription and pathogenicity of S. aureus.
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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 | 0.001 | 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) | 0.000 | 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 it