Methods to monitor autophagy in<i>H. pylori</i>vacuolating cytotoxin A (VacA)-treated cells
Bibliographic record
Abstract
Helicobacter pylori is a gram negative pathogen that infects at least half of the world's population and is associated not only with gastric cancer but also with other diseases such as gastritis and peptic ulcers. Indeed, H. pylori is considered the single most important risk factor for the development of gastric cancer. The vacuolating cytotoxin VacA, secreted by H. pylori, promotes intracellular survival of the bacterium and modulates host immune responses. In a recent study, we reported that VacA induces autophagy. Multilamellar autophagosomes are detected in gastric epithelial cells that are distinct from the large vacuoles formed by VacA. Furthermore, inhibition of autophagy stabilizes VacA and reduces vacuolation in the cells indicating that the toxin is being degraded by autophagy, thus limiting toxin-induced host cell damage. Many of the methods that were used for this study are commonly employed techniques that were adapted for H. pylori infection and VacA intoxication. In this paper, we describe the various methods and specific protocols used for the assessment and monitoring of autophagy during H. pylori 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".