Identification of differentially regulated proteins in metronidozole resistantHelicobacter pylori by proteome techniques
Bibliographic record
Abstract
Resistance to metronidazole (MTZ) is common among Helicobacter pylori strains in many societies, and results from loss of function mutations in genes for one or more cellular nitroreductases. When functional, these enzymes convert MTZ from a harmless prodrug to mutagenic and bacteriocidal products (probably hydroxylamine-type compounds), and in the process may generate active reactive oxygen metabolites. Here we examine the protein profiles of a derivative of strain 26695 that is resistant to moderate levels of MTZ because of mutation in rdxA (HP0954), the gene for the most important of these nitroreductases. The strain was grown with and without 18 micrograms/mL of MTZ to assess whether sublethal exposure triggers an adaptive response. Bacterial lysates were subjected to two-dimensional (2-D) electrophoresis and protein bands were identified by mass spectrometry and sequence analysis. Several proteins were decreased at least two-fold during growth with MTZ, yet the levels of various isoforms of alkylhydroperoxide reductase (AHP) (encoded by ahpC HP1563) were increased. AHP is an essential enzyme, and had been linked to resistance to oxygen toxicity in various prokaryotic and eukaryotic systems; we propose that the ability of an rdxA mutant strain to increase AHP abundance during exposure to MTZ is critically important in the realization of the resistance phenotype. More generally, these results highlight the potential of proteome analysis to tracing out how pathogenic bacteria cope with the challenges imposed on them by therapy or host responses to infection.
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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".