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Record W2111485737 · doi:10.1158/0008-5472.can-11-2739

Targeting Protein Synthesis in a Myc/mTOR-Driven Model of Anorexia-Cachexia Syndrome Delays Its Onset and Prolongs Survival

2011· article· en· W2111485737 on OpenAlexafffund
Françis Robert, John R. Mills, Aouod Agenor, Dantong Wang, Sergio Di Marco, Regina Cencic, Michel L. Tremblay, Imed‐Eddine Gallouzi, Siegfried Hekimi, Simon S. Wing, Jerry Pelletier

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsMcGill University Health Centre
FundersCanadian Institutes of Health Research
KeywordsCachexiaAnorexiaPI3K/AKT/mTOR pathwayMedicineCytokineWeight lossCancerCancer researchEndocrinologyPhenotypeSkeletal muscleInternal medicineBiologyObesitySignal transductionCell biologyGene

Abstract

fetched live from OpenAlex

Anorexia-cachexia syndrome (ACS) is a major determinant of cancer-related death that causes progressive body weight loss due to depletion of skeletal muscle mass and body fat. Here, we report the development of a novel preclinical murine model of ACS in which lymphomas harbor elevated Myc and activated mTOR signaling. The ACS phenotype in this model correlated with deregulated expression of a number of cytokines, including elevated levels of interleukin-10 which was under the direct translational control of mTOR. Notably, pharmacologic intervention to impair protein synthesis restored cytokine production to near-normal levels, delayed ACS progression, and extended host survival. Together, our findings suggest a new paradigm to treat ACS by strategies which target protein synthesis to block the production of procachexic factors.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.046
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.086
GPT teacher head0.335
Teacher spread0.249 · 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 designBench or experimental
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

Citations38
Published2011
Admission routes2
Has abstractyes

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