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Record W2082417169 · doi:10.4161/auto.7.9.16435

Bacterial toxins can inhibit host cell autophagy through cAMP generation

2011· article· en· W2082417169 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAutophagy · 2011
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsAutophagyBiologyPhagosomeCell biologyEffectorInnate immune systemImmune systemMicrobiologyATG16L1AutophagosomePhagocytosisBiochemistryImmunologyApoptosis

Abstract

fetched live from OpenAlex

Autophagy plays a significant role in innate and adaptive immune responses to microbial infection. Some pathogenic bacteria have developed strategies to evade killing by host autophagy. These include the use of 'camouflage' proteins to block targeting to the autophagy pathway and the use of pore-forming toxins to block autophagosome maturation. However, general inhibition of host autophagy by bacterial pathogens has not been observed to date. Here we demonstrate that bacterial cAMP-elevating toxins from B. anthracis and V. cholera can inhibit host anti-microbial autophagy, including autophagic targeting of S. Typhimurium and latex bead phagosomes. Autophagy inhibition required the cAMP effector protein kinase A. Formation of autophagosomes in response to rapamycin and the endogenous turnover of peroxisomes was also inhibited by cAMP-elevating toxins. These findings demonstrate that cAMP-elevating toxins, representing a large group of bacterial virulence factors, can inhibit host autophagy to suppress immune responses and modulate host cell physiology.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.041
GPT teacher head0.261
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it