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Record W1995806710 · doi:10.1042/cs20120356

The long and winding TRAIL to weight loss

2012· letter· en· W1995806710 on OpenAlexaff
Regje M. E. Blümer, Gregory R. Steinberg

Bibliographic record

VenueClinical Science · 2012
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTumor necrosis factor alphaApoptosisMedicineWeight lossNecrosisObesityEndocrinologyInternal medicineDiabetes mellitusBody weightCancer researchPharmacologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

TRAIL [TNF (tumour necrosis factor)-related apoptosis-inducing ligand] is in clinical trials for the treatment of cancer. In the present issue of Clinical Science, Bernardi and co-workers report that the administration of TRAIL in mice fed on a high-fat diet resulted in reduced adiposity and improved metabolic responses to a glucose and insulin tolerance test compared with mice without TRAIL. The metabolic improvements were associated with a higher rate of apoptotic fat cells and with a reduction in the levels of pro-inflammatory cytokines. These results suggest that TRAIL could be an exciting new therapeutic for treating obesity, but further studies are required to determine its major mechanisms of action.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.305
Threshold uncertainty score0.303

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 studies0.0000.001
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 head0.030
GPT teacher head0.333
Teacher spread0.303 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2012
Admission routes1
Has abstractyes

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