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Record W7066217376

High-Density Lipoproteins (HDL) Functionality in Degenerative Cardiac Disease - 
\nNovel Cardioprotective Roles of HDL and Strategies to Target HDL Dysfunction

2017· other· en· W7066217376 on OpenAlexfundno aff

Bibliographic record

VenuePapyrus : Institutional Repository (Université de Montréal) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersInstitut de Cardiologie de Montréal
KeywordsDiseaseCardiac dysfunctionDegenerative diseaseLipoproteinCardiac hypertrophyHigh-density lipoprotein
DOInot available

Abstract

fetched live from OpenAlex

Background: The recent failure of drugs targeted to high-density lipoprotein (HDL) cholesterol levels has led to the conclusion that HDL function rather than HDL quantity is the key player in cardiovascular pathologies.The augmentation of functional HDL through administration of reconstituted HDL (rHDL) or apolipoprotein A-I (apoA-I) seems a promising strategy to in coronary artery disease (CAD) and aortic valve stenosis (AVS).However, clinically applicable biomarkers reflecting functionality of HDL are lacking.In addition, little is known on the mechanisms governing the cardioprotective effects of HDL-based approaches as well as rHDL and apoA-I possible conversion into dysfunctional molecules.Finally, data regarding potential secondary effects of such therapy are sparse.Thus, the present project explored the value of cholesterol esterification as biomarker for cardioprotective HDL effects, assessed whether rHDL exerts beneficial effects in endothelial repair, and investigated potential side-effects of HDL-based therapies as well as HDL-preserving strategies in AVS. Method and results:We explored the value of cholesterol esterification during maturation of HDL particles, as a biomarker for cardioprotective HDL effects in 267 patients with stable CAD.In addition, the effect of rHDL on vascular repair mechanism was assessed in 33 patients with a recent acute coronary syndrome (ACS), and the contribution of different plasma proteases to apoA-I degradation was compared in patients with AVS as well as in a rabbit model of AVS.Using the same population and experimental model, we also assessed possible impact of apoA-I administration on haemorrhagic disorders in patients with AVS.Cholesterol esterification was found to be a strong and independent predictor of atherosclerotic burden in patients with CAD.Administration of rHDL prevented endothelial progenitor cells decline in patients with a recent ACS.While apoA-I administration did not negatively affect haemorrhagic disorders in AVS, it was found that the cysteine protease cathepsin S is the key protease responsible for 70% of apoA-I degradation in humans. Conclusion:The present data indicate that cholesterol esterification is a useful biomarker mirroring severity of atherosclerotic disease.Thus, targeting cholesterol esterification might be a promising therapeutic strategy to reduce cardiovascular v risk.Our data further indicate that an improvement of cardiovascular repair mechanisms following myocardial injury might be amongst the mechanisms by which exogenous HDL exerts its cardioprotective actions.The latter is also a particularly promising strategy in the treatment of AVS and its efficacy could be further enhanced by inhibition of the cysteine protease cathepsin S.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Review · Consensus signal: none
Teacher disagreement score0.146
Threshold uncertainty score0.340

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1020.022

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 head0.006
GPT teacher head0.178
Teacher spread0.172 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2017
Admission routes1
Has abstractno

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