Global regulation of virulence and the stress response by CsrA in the highly adapted human gastric pathogen <i>Helicobacter pylori</i>
Bibliographic record
Abstract
Although successful and persistent colonization of the gastric mucosa depends on the ability to respond to changing environmental conditions and co-ordinate the expression of virulence factors during the course of infection, Helicobacter pylori possesses relatively few transcriptional regulators. We therefore investigated the contribution of the regulatory protein CsrA to global gene regulation in this important human pathogen. CsrA was necessary for full motility and survival of H. pylori under conditions of oxidative stress. Loss of csrA expression deregulated the oxidant-induced transcriptional responses of napA and ahpC, the acid induction of napA, cagA, vacA, the urease operon, and fur, as well as the heat shock responses of napA, groESL and hspR. Although the level of napA transcript was higher in the csrA mutant, its stability was similar in the wild-type and mutant strains, and less NapA protein was produced in the mutant strain. Finally, H. pylori strains deficient in the production of CsrA were significantly attenuated for virulence in a mouse model of infection. This work provides evidence that CsrA has a broad role in regulating the physiology of H. pylori in response to environmental stimuli, and may be important in facilitating adaptation to the different environments encountered during colonization of the gastric mucosa. Furthermore, CsrA appears to mediate its effects in H. pylori at the post-transcriptional level by influencing the processing and translation of target transcripts, with minimal effect on the stability of the target mRNAs.
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 | 0.000 | 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".