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High-Density Lipoprotein (HDL) mimetic peptide CER-522 induces regression of experimental left ventricular diastolic dysfunction

2013· article· en· W2098784576 on OpenAlexaff
David Busseuil, Nolwenn Merlet, Téodora Mihalache-Avram, Mélanie Mecteau, Yanfen Shi, Geneviève Brand, Narendra D. Lalwani, Jean‐Louis Dasseux, Éric Rhéaume, Jean‐Claude Tardif

Bibliographic record

VenueEuropean Heart Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineCardiologyInternal medicineDiastoleHigh-density lipoproteinCholesterolBlood pressure

Abstract

fetched live from OpenAlex

Purpose: High-density lipoprotein (HDL) infusions induce rapid improvement of atherosclerosis and aortic valve stenosis (AVS) in animals but their effect on left ventricular diastolic dysfunction (LVDD) remains unknown. Our study aimed at evaluating the effects of the HDL mimetic peptide CER-522 on LVDD in a rabbit model of AVS. Methods: Thirty-five (35) male New-Zealand White rabbits were fed with a 0.5% cholesterol- and vitamin D2-enriched diet until mild AVS was detected by echocardiography (mean duration of diet: 16 weeks). Animals were then randomized to receive saline (control group, n = 11) or the HDL mimetic peptide CER-522 at doses of 10 mg/kg (n = 12) or 30 mg/kg (n = 12) 3 times per week for 2 weeks. Serial echocardiograms and end-of-study histological examination of the aortic valve and left ventricle were performed. Results: Aortic valve area increased at day 10 in the CER-522 10 mg/kg group (P = 0.016) and at day 14 in both the CER-522 10 and 30 mg/kg treated groups compared to controls (P = 0.011 and P = 0.033, respectively). Aortic root strain index was higher in both CER-522 treated groups vs controls at 14 days of treatment (P = 0.007 and P = 0.047, respectively). At day 14, compared to controls, CER-522 normalized early filling deceleration time (P < 0.001 for both treated groups) and E wave deceleration rate (P < 0.001 for both treated groups), decreased E/Em ratio (P < 0.001 and P = 0.001 for the 10 and 30 mg/kg groups, respectively) and increased Em/Am ratio (P < 0.001 and P = 0.025). Although all groups had similar amount of global LVDD before treatment, moderate LVDD was present in 36.4, 16.7 and 0% of animals in the control, CER-522 10 and 30 mg/kg groups respectively at study end (P = 0.216 and P < 0.001 for 10 and 30 mg/kg groups vs controls). Histological analyses showed that RAM-11 positive cells (macrophages) in LV myocardium and pericoronary fibrosis were reduced with CER-522 10 mg/kg compared to controls (P = 0.006 and P = 0.018). The number of apoptotic cardiomyocytes was reduced by CER-522 30 mg/kg vs controls (P = 0.010; P=NS for 10 mg/kg). Coronary artery atheroma area was decreased in both CER-522 groups vs controls (P = 0.028 and P = 0.044 for 10 and 30 mg/kg groups), as was the case for the coronary external/internal elastic lamina area ratio (P = 0.003 and P = 0.010). Conclusions: The HDL mimetic peptide CER-522 improves LVDD in rabbits while also reducing cardiomyocyte apoptosis, mild AVS, aortic root rigidity and coronary atherosclerosis.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.302
Teacher spread0.282 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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