MétaCan
Menu
Back to cohort
Record W2061950621 · doi:10.1080/10715760903040610

Effect of 27-hydroxycholesterol on survival and death of human macrophages and vascular smooth muscle cells

2009· article· en· W2061950621 on OpenAlexafffund
Valérie Riendeau, Christophe Garenc

Bibliographic record

VenueFree Radical Research · 2009
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsUniversité LavalCentre hospitalier de l'Université Laval
FundersCentre Hospitalier Universitaire de Québec
KeywordsU937 cellApoptosisLiver X receptorCholesterolFoam cellViability assayCell biologyMacrophageCellProtein kinase BBiologyChemistryCancer researchLipoproteinEndocrinologyBiochemistryIn vitroGene

Abstract

fetched live from OpenAlex

The objective was to compare the effect of a LXR synthetic ligand (T0901317) on cell viability and lysosomal membrane destabilization in human U937 macrophage and aortic smooth muscle cell (HASMC) incubated in the presence of cholesterol or 27-OH and to verify whether the Akt signalling pathway is involved. In U937 macrophages, cholesterol triggered cell survival while 27-OH triggered either survival (low concentration) or a lysosomal independent apoptosis (high concentration). Despite a strong effect of T0901317 on macrophage survival, its effect on cell viability is hampered in cells incubated in the presence of cholesterol or 27-OH. In these cells, cholesterol triggers the phosphorylation of Akt on the Thr308 residue. In HASMC, cholesterol induced apoptosis but no additionnal effect of T0901317 prevented apoptosis. All together, cell survival triggered by LXRs is impaired in the presence of cholesterol or high concentrations of 27-OH in human U937 macrophages and is not effective in HASMC.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.035
GPT teacher head0.369
Teacher spread0.334 · 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 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

Citations24
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueFree Radical ResearchSame topicCholesterol and Lipid MetabolismFrench-language works237,207