Effect of<i>rpoS</i>mutations on stress-resistance and invasion of brain microvascular endothelial cells in<i>Escherichia coli</i>K1
Bibliographic record
Abstract
Escherichia coli K1 strains are predominant in causing neonatal meningitis. We have shown that invasion of brain microvascular endothelial cells (BMEC) is a prerequisite for E. coli K1 crossing of the blood-brain barrier. BMEC invasion by E. coli K1 strain RS218, however, has been shown to be significantly greater with stationary-phase cultures than with exponential-phase cultures. Since RpoS participates in regulating stationary-phase gene expression, the present study examined a possible involvement of RpoS in E. coli K1 invasion of BMEC. We found that the cerebrospinal fluid isolates of E. coli K1 strains RS218 and IHE3034 have a nonsense mutation in their rpoS gene. Complementation with the E. coli K12 rpoS gene significantly increased the BMEC invasion of E. coli K1 strain IHE3034, but failed to significantly increase the invasion of another E. coli K1 strain RS218. Of interest, the recovery of E. coli K1 strains following environmental insults was 10-100-fold greater on Columbia blood agar than on LB agar, indicating that growing medium is important for viability of rpoS mutants after environmental insults. Taken together, our data suggest that the growth-phase-dependent E. coli K1 invasion of BMEC is affected by RpoS and other growth-phase-dependent regulatory mechanisms.
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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) | 0.001 | 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".