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Record W2091469284 · doi:10.1186/1753-6561-5-s1-p44

Disruption of the AKT/MTOR pathway by Leishmania major promastigotes

2011· article· en· W2091469284 on OpenAlexaff
Christine Matte, Albert Descoteaux

Bibliographic record

VenueBMC Proceedings · 2011
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsArmand Frappier MuseumInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsPI3K/AKT/mTOR pathwayLeishmaniaProtein kinase BMedicineComputational biologyMicrobiologyCell biologySignal transductionBiologyWorld Wide WebComputer scienceParasite hosting

Abstract

fetched live from OpenAlex

Signaling through the Akt/mammalian target of rapamycin (mTOR) pathway plays a pivotal role in the regulation of multiple cellular processes, including proliferation, apoptosis, protein synthesis and autophagy. It is therefore a major target of microbial infections and tumors. Protozoa of the Leishmania genus cause a wide spectrum of diseases in humans, termed leishmaniases, with clinical manifestations ranging from self-healing skin ulcers to life-threatening visceral disease. These parasites primarily infect macrophages and are renowned for their ability to sabotage host-cell signal transduction pathways. Here, we report that infection of Balb/c bone marrow-derived macrophages with the promastigote stage of Leishmania major results in rapid, time-dependent degradation of key components of the Akt/mTOR axis, including Akt, mTOR and the tuberous sclerosis complex-2 (TSC-2). Disruption of the Akt/mTOR pathway by L. major is dependent on the surface metalloprotease gp63, an important virulence factor of the parasite, and appears to be strain-and species-specific. The consequences of the degradation of key intermediates in the Akt/mTOR pathway on downstream responses are currently being investigated. These studies highlight a novel mechanism by which L. major interferes with macrophage functions and responses and will provide a better understanding of Leishmania pathogenesis.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.044
GPT teacher head0.269
Teacher spread0.225 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations4
Published2011
Admission routes1
Has abstractyes

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