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Record W2595873267 · doi:10.1161/atvb.32.suppl_1.a67

Abstract 67: Phase I Safety, Pharmacokinetic, and Pharmacodynamic Results for ALN-PCS, a Novel RNAi Therapeutic for the Treatment of Hypercholesterolemia

2012· article· en· W2595873267 on OpenAlexaff
Kevin Fitzgerald, Maria Frank-Kamenetsky, Timothy Mant, James M. Ritter, Joseph Chiesa, Malathy Munasamy, Renta Hutabarat, Valerie A. Clausen, David I. Watkins, Kimberly Y. Smith, Jessica E. Sutherland, Jeff Cehelsky, Matthias Kretschmer, Lubomir V. Nechev, Verena Karsten, Sara Nochur, Lauri Binne, Akshay Vaishnaw, Amy Simon

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2012
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsPCSK9KexinLDL receptorPharmacologyPharmacodynamicsPharmacokineticsProprotein convertaseTolerabilityMedicineInternal medicineCholesterolEndocrinologyLipoproteinAdverse effect

Abstract

fetched live from OpenAlex

Proprotein convertases subtilisin/kexin type 9 (PCSK9) is a member of the proprotein convertase (PC) family of subtilisin-like serine endoproteases that regulates low density lipoprotein receptor (LDLR) levels and function. Murine models and human genetic studies indicate that loss of PCSK9 protein increases LDLR levels while excess PCSK9 decreases LDLR levels. These changes in LDLR protein levels coincide with reciprocal changes in circulating levels of plasma LDL cholesterol (LDL-C). We have developed a highly potent RNA interference (RNAi) therapeutic, ALN-PCS, targeting both intra and extracellular PCSK9 for inhibition through an RNAi mechanism. Pre-clinical data in non-human primate models, indicate that a single intravenous dose of ALN-PCS results in rapid, dose dependent, and significant lowering of liver PCSK9 transcript, plasma PCSK9 protein and subsequently serum LDL-C and ApoB levels, without impacting serum HDL-C. Here we report on interim data from an ongoing Phase 1 trial of ALN-PCS being conducted as a randomized, single-blind, placebo-controlled, single-ascending dose study in healthy volunteer subjects with elevated baseline LDL-C (>116mg/dL) who are not on any lipid lowering therapy. The primary objective of the study is to evaluate the safety and tolerability of a single dose of ALN-PCS, with subjects being enrolled into sequential cohorts of increasing doses. Secondary objectives of the study include characterization of plasma and urine pharmacokinetics of ALN-PCS, assessment of pharmacodynamic effects of the drug on plasma PCSK9 protein levels, and evaluation of clinical efficacy as measured by LDL-C levels. Data from 20 subjects enrolled in five sequential dose cohorts ranging from 0.015 to 0.250 mg/kg in a 3:1 randomization of drug to placebo will be presented. ALN-PCS was safe and well tolerated in this study and there have been no serious adverse events related to study drug administration to date. There have been no drug-related discontinuations from the study and no liver enzyme elevations. A mild, transient rash that resolved spontaneously was observed in three subjects that received ALN-PCS, and in two that received placebo. To date, administration of ALN-PCS resulted in a rapid, dose-dependent, and durable silencing of PCSK9 protein levels in plasma of up to 66% relative to baseline, with a statistically significant mean reduction of 60% at day four in the current high dose group of 0.250 mg/kg (p<0.001). In addition, administration of ALN-PCS resulted in dose-dependent reductions in LDL-C of up to 50% relative to baseline, with a statistically significant mean reduction of 39% at day four (p<0.05) at the 0.250 mg/kg dose level. There was no significant decrease in high-density lipoprotein (HDL). Dosing of further cohorts at the current top dose (0.25 mg/kg) and at a higher dose is planned. Additional data will be presented as available.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.081
GPT teacher head0.373
Teacher spread0.292 · 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 designRandomized trial
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

Citations13
Published2012
Admission routes1
Has abstractyes

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