Probiotics Down-Regulate Genes in Serovar Typhimurium Pathogenicity Islands 1 and 2
Bibliographic record
Abstract
Salmonella Typhimurium pathogenesis relies mainly on the expression of genes of two pathogenicity islands, Salmonella pathogenicity islands 1 and 2 (SPI1 and SPI2). Each island has its own pattern of expression and regulation. Success in suppression of the responsible key activator of each island would be an effective way of controlling Salmonella, especially with the emerging problem of antibiotic-resistant strains. Probiotics have been shown to inhibit several foodborne pathogens, and their mode of action may partly involve down-regulation of virulence genes. To investigate whether probiotics played a role in the regulation of the pathogenicity islands SPI1 and SPI2 in Salmonella, two reporter strains were constructed in which the general regulator of SPI1, hilA, and the response regulator of SPI2, ssrB, were fused with luxCDABE genes. These constructs were used to screen the effect of probiotics on the expression of each gene. Molecules secreted by Bifidobacterium bifidum were able to down-regulate both genes.
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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 | 0.000 |
| 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 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".