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Abstract 17913: Inhibition of CETP by Dalcetrapib Results in a Modest Increase in Cholesterol Efflux Capacity Associated With an Increase in Large HDL Particles, but Does Not Impact Carotid Intima-Media Thickness in a dal-PLAQUE-2 Substudy

2014· article· en· W1542346667 on OpenAlexaff
David Rhainds, Marie Boulé, Sonia Alem, Mathieu R. Brodeur, Daniel Charpentier, Olivier Gingras, Malorie Chabot-Blanchet, Marie‐Claude Guertin, Guillaume Lettre, Éric Rhéaume, Jean‐Claude Tardif

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineCholesterylester transfer proteinCholesterolInternal medicinePlaceboEndocrinologyCardiologyLipoproteinPathology

Abstract

fetched live from OpenAlex

Inhibition of cholesteryl ester transfer protein (CETP) is an approach aiming at raising HDL-cholesterol levels and reducing cardiovascular risk. The dal-PLAQUE-2 phase III study recruited 988 subjects with stable coronary artery disease. Its primary objective was to evaluate the effect of dalcetrapib on the progression of carotid atherosclerotic disease measured by intima-media thickness after one year of therapy. As dalcetrapib showed a neutral effect on cardiovascular risk in the dal-OUTCOMES study, our objective was to evaluate its effect on cIMT and markers of HDL mass, lipoprotein subclass distribution and HDL function. All subjects from dal-PLAQUE-2 who had provided serum samples at baseline and one year were included in our substudy of 193 subjects on placebo and 186 subjects on dalcetrapib. Comparisons between groups at one year were made by ANCOVA after adjustment for baseline levels. No significant differences between groups for all variables considered were observed at baseline. Dalcetrapib reduced CETP activity as measured by a fluorescent method by 30% after 1 year (p<0.001), which resulted in increases in HDL-cholesterol and apoA-I levels by 32% and 11%, respectively (both p<0.001). Dalcetrapib markedly increased the concentration of large HDL particles measured by NMR profiling (+59%, p<0.001), at the expense of small HDL particles (-9.5%, p<0.001). Cholesterol efflux capacity of serum was measured from J774 macrophages under basal conditions and after cAMP stimulation. Dalcetrapib increased basal and stimulated efflux by 7.1% and 5.5% (both p<0.001), but was without effect on the ABCA1-dependent component (p=0.26). Despite these effects, dalcetrapib had no impact on mean and maximal cIMT (p=0.98 and p=0.85). While the change in cIMT was inversely correlated with basal cholesterol efflux in the placebo group (Spearman r=-0.163, p<0.05), such a relationship was not found in the dalcetrapib group. Moreover, the change in total HDL particles concentration was inversely correlated with change in cIMT (r=0.181, p<0.05) in the placebo arm only. In conclusion, dalcetrapib raised HDL-C and larger HDL, but this had minimal effects on cholesterol efflux capacity of patients’ serum and had a neutral effect on carotid artery plaque burden.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.012
GPT teacher head0.243
Teacher spread0.231 · 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 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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