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Record W2313765998 · doi:10.2174/156652413804810790

Autophagy and Toxins: A Matter of Life or Death

2013· review· en· W2313765998 on OpenAlexfundno aff
María Belén Mestre, María I. Colombo

Bibliographic record

VenueCurrent Molecular Medicine · 2013
Typereview
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsnot available
FundersUniversity of Toronto ScarboroughAgencia Nacional de Promoción Científica y TecnológicaUniversidad Nacional de CuyoConsejo Nacional de Investigaciones Científicas y Técnicas
KeywordsAutophagyPore-forming toxinIntracellularMicrobial toxinsVirulencePathogenMechanism (biology)BiologyProgrammed cell deathCell biologyToxinIntracellular parasiteMicrobiologyApoptosisGeneticsGene

Abstract

fetched live from OpenAlex

Bacterial protein toxins are important virulence factors. A particular class of toxins, the pore-form toxins (PFTs), shares the toxigenic mechanism of forming pores in the membrane of target cells. The relationship between autophagy and bacterial PFTs has been described for several toxin-secreting pathogens and in this review we have recapitulated the more recent findings on this issue. A common outcome is that the target cell, by a yet non-completely defined mechanism, senses the toxin attack and builds up complex responses as a protective mechanism for host survival. However, in some cases, this cellular response is beneficial to the microorganism by supplying an intracellular niche or by promoting host-cell death, which facilitates pathogen spreading.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.052
GPT teacher head0.344
Teacher spread0.292 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations18
Published2013
Admission routes1
Has abstractyes

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