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Record W2057416509 · doi:10.2174/13816128113199990313

Proprotein Convertase Subtilisin Kexin 9 (PCSK9) Inhibitors in the Treatment of Hypercholesterolemia and other Pathologies

2013· review· en· W2057416509 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

VenueCurrent Pharmaceutical Design · 2013
Typereview
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsMontreal Clinical Research Institute
FundersCore Research for Evolutional Science and TechnologyCanadian Institutes of Health ResearchPfizer
KeywordsPCSK9KexinProprotein convertaseSubtilisinFamilial hypercholesterolemiaMedicineLDL receptorProprotein ConvertasesPharmacologyCholesterolChemistryEndocrinologyBiochemistryLipoproteinEnzyme

Abstract

fetched live from OpenAlex

The discovery of PCSK9 in 2003 and its identification as the third protagonist responsible for ADH opened many new avenues of research in the cardiovascular field. Liver PCSK9 binds the LDLR and promotes its degradation in the endosomal/lysosomal pathway. A higher activity of PCSK9 leads to lower liver LDLR levels, resulting in a reduction in LDL-uptake from circulation, and thus in hypercholesterolemia and associated atherosclerosis. Although PCSK9 mutations are rare, their associated phenotypes can be devastating. The most powerful PCSK9 gain-of-function mutation, D374Y, is responsible for LDL cholesterol (LDLc) levels of ~10 mmol/L versus ~3 mmol/L in normal subjects.The aim of this manuscript is to review the available literature on the identification and pharmacological applications of potent inhibitors of PCSK9 function and/or activity, and to present the latest data on the ongoing clinical trials, mostly related to the use of monoclonal antibodies (mAb) that interfere with PCSK9 function on the LDLR, resulting in a significant drop in circulating LDLc.The clinical data, so far, are very encouraging with Phase-2 trials from various pharmaceutical companies showing a drop of >60% in LDLc for at least 2 weeks after a single injection of a humanized PCSK9 mAb in the presence or absence of adjunct statin therapy. In view of the absence of overt toxicity associated with this treatment Phase-3 clinical trials have started with >20,000 individuals being tested and anticipated primary outcomes results should be forthcoming by 2016. Other approaches including the use of recombinant adnectins, antisense RNAi or small molecule inhibitors are also undergoing early pre-clinical testing or are already in Phase-1 clinical trials.Very recent data revealed that absence of PCSK9 can be protective against melanoma invasion in mouse liver, and that this is due to lower circulating LDLc. This opens the door to novel applications of PCSK9 inhibitors/silencers in cancer/metastasis.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.280
GPT teacher head0.442
Teacher spread0.162 · 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