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Modulation of mammalian apoptotic pathways by intracellular protozoan parasites

2011· review· en· W1823199340 on OpenAlex
Vasco Rodrigues, Anabela Cordeiro‐da‐Silva, Mireille Laforge, Ali Ouaissi, Ricardo Silvestre, Jérôme Estaquier

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

VenueCellular Microbiology · 2011
Typereview
Languageen
FieldImmunology and Microbiology
TopicToxoplasma gondii Research Studies
Canadian institutionsUniversité Laval
FundersFundação para a Ciência e a TecnologiaAgence Nationale de la Recherche
KeywordsBiologyIntracellularIntracellular parasiteApoptosisCell biologyPathogenProtozoan infectionHost (biology)Mechanism (biology)Transmission (telecommunications)MicrobiologyGenetics

Abstract

fetched live from OpenAlex

During intracellular parasitic infections, pathogens and host cells take part in a complex web of events that are crucial for the outcome of the infection. Modulation of host cell apoptosis by pathogens attracted the attention of scientists during the last decade. Apoptosis is an efficient mechanism used by the host to control infection and limit pathogen multiplication and dissemination. In order to ensure completion of their complex life cycles and to guarantee transmission between different hosts, intracellular parasites have developed mechanisms to block apoptosis and sustain the viability of their host cells. Here, we review how some of the most prominent intracellular protozoan parasites modulate the main mammalian apoptotic pathways by emphasizing the advances from the last decade, which have begun to dissect this dynamic and complex interaction.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.043
GPT teacher head0.275
Teacher spread0.232 · 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