Bacterial autophagy
Bibliographic record
Abstract
Autophagy is a vital process through which cellular material and dysfunctional organelles are degraded and recycled, and it is inhibited by the metabolic checkpoint kinase MTOR. Autophagy also targets intracellular bacteria (a process termed xenophagy) for lysosomal degradation, thereby playing a key role in innate immunity. In the past few years, the identification of molecules, such as CALCOCO2/NDP52, SQSTM1/p62 and ubiquitin, implicated in the specific targeting of intracellular bacteria, received considerable attention. However, it remains unclear how xenophagy is initiated, since this process commonly occurs in metabolically replete cells. In a recent study, we demonstrated that infection with Shigella and Salmonella triggered an early state of intracellular amino acid (AA) starvation causing MTOR dissociation from endomembranes, downregulation of MTOR activity and activation of the EIF2AK4/GCN2-EIF2S1/eIF2α/ATF3 signaling axis. We also observed that AA starvation was caused by host membrane damage, which appeared to be transient in the case of Salmonella and sustained in Shigella-infected cells, thus highlighting the existence of key timing disparities in xenophagy triggering, depending on the bacterial pathogen. Together, our findings demonstrate that xenophagy is only one arm of a more general metabolic switch geared toward AA starvation in bacteria-infected cells.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.028 |
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".