Bacterial outer membrane vesicles trigger pre-activation of a xenophagic response via AMPK
Bibliographic record
Abstract
Macroautophagy/autophagy is a conserved degradative pathway that host cells use to deal with invading pathogens. Despite significant overlap with starvation-induced autophagy, the early signaling that potentiates anti-bacterial autophagy is still unclear. Here we report AMPK, an upstream kinase regulating starvation-mediated autophagy induction, is activated in response to bacterial infection. AMPK inhibits MTORC1, an autophagy repressor, and activates autophagic ULK1 and PIK3C3/VPS34 complexes. Although AMPK-mediated inhibition of MTORC1 is not accompanied by the induction of bulk autophagy, AMPK regulation is critical for selectively targeting the bacteria for degradation. Moreover, AMPK signaling is triggered by the detection of bacteria-derived outer membrane vesicles and does not require bacterial invasion. Together, these data characterize and highlight the significance of AMPK signaling in priming the autophagic response to bacterial infection.Abbreviations AMPK: AMP-activated protein kinase; MTORC1: MTOR complex 1; ULK1: Unc-51 like kinase 1; PIK3C3/VPS34: Phosphatidylinositol 3-kinase catalytic subunit type 3.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".