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Record W2345759082 · doi:10.1002/1873-3468.12198

Paraoxonase 1‐treated ox<scp>LDL</scp> promotes cholesterol efflux from macrophages by stimulating the <scp>PPAR</scp>γ–<scp>LXR</scp>α–<scp>ABCA</scp>1 pathway

2016· article· en· W2345759082 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFEBS Letters · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicParaoxonase enzyme and polymorphisms
Canadian institutionsUniversité de SherbrookeHealth and Social Services Centre University Institute of Geriatrics of Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsChemistryCholesterolEffluxLiver X receptorCell biologyBiochemistryBiologyNuclear receptorTranscription factorGene

Abstract

fetched live from OpenAlex

Here, we investigate the mechanism through which paraoxonase 1 (PON1) may regulate cholesterol efflux. Pretreatment of oxLDL with PON1 (oxLDL-PON1) contributed to the formation of LysoPC. In J774 macrophages, oxLDL-PON1 increased cholesterol efflux by more than 47% compared to oxLDL alone. oxLDL-PON1 significantly increased mRNA and protein expression of ABCA1 and ABCG1, as well as of PPARγ and LXRα compared to oxLDL alone. Intraperitoneal injection of oxLDL-PON1- or LysoPC-treated J774 macrophages significantly increased the fecal elimination of macrophage-derived cholesterol in these mice. Our results suggest that PON1 stimulates cholesterol efflux via a mechanism that involves oxidized phospholipid hydrolysis.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.010
GPT teacher head0.221
Teacher spread0.212 · 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