Evidence map›Paper›PMID 35974290›Full record

ArticleEuropean journal of drug metabolism and pharmacokinetics2022

Combined Semi-mechanistic Target-Mediated Drug Disposition and Pharmacokinetic-Pharmacodynamic Models of Alirocumab, PCSK9, and Low-Density Lipoprotein Cholesterol in a Pooled Analysis of Randomized Phase I/II/III Studies.

Patrick Nolain, Nassim Djebli, Aurélie Brunet, David Fabre, Sonia Khier

Open access · hybridAbstract read
In one paragraph

Article in European journal of drug metabolism and pharmacokinetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Patrick NolainPharmacokinetics-Pharmacodynamics and Metabolism, Translational Medicine and Early Development, Sanofi R&D, Montpellier, France.
Nassim DjebliPharmacokinetics-Pharmacodynamics and Metabolism, Translational Medicine and Early Development, Sanofi R&D, Montpellier, France.
Aurélie BrunetPharmacokinetics-Pharmacodynamics and Metabolism, Translational Medicine and Early Development, Sanofi R&D, Montpellier, France.
David FabrePharmacokinetics-Pharmacodynamics and Metabolism, Translational Medicine and Early Development, Sanofi R&D, Montpellier, France.
Sonia KhierPharmacokinetics and Pharmacometrics Department, School of Pharmacy, UFR Pharmacie, Montpellier University, 15 Avenue Charles Flahault, 34000, Montpellier, France. sonia.khier@umontpellier.fr.ORCID http://orcid.org/0000-0001-6712-8461
Sanofi (France) · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesAlirocumab is a cholesterol-lowering monoclonal antibody targeting proprotein convertase subtilisin kexin type 9 (PCSK9) indicated in the prevention of cardiovascular risk and exhibiting target-mediated drug disposition (TMDD). The aim of this work was to develop an integrated pharmacokinetic-pharmacodynamic model to describe the interaction of alirocumab with PCSK9 and its impact on the evolution of low-density lipoprotein cholesterol (LDL-C) levels and explore labeling specification for subpopulations.

methodsUsing data collected from nine phase I/II/III clinical studies (n = 527, subcutaneous or intravenous administration), a TMDD model considering the quasi-steady-state approximation was developed to characterize the interaction dynamics of alirocumab and PCSK9, combined with an indirect pharmacodynamic model describing the inhibition of LDL-C by PCSK9 in a one-step approach using nonlinear-mixed effects modeling. A "full fixed effects modeling" strategy was implemented to quantify parameter-covariate relationships.

resultsThe model captures the interaction between alirocumab and its target PCSK9 and how this mechanism drives LDL-C depletion, with an estimation of the associated between-subject variability of model parameters and the quantification of clinically relevant parameter-covariate relationships. Co-administration of statins was found to increase the central volume of distribution of alirocumab by 1.75-fold (5.6 L versus 3.2 L) and allow for a 14% greater maximum lipid-lowering effect (88% versus 74%), highlighting the synergy of action between anti-PCSK9 therapeutic antibodies and statins toward lowering LDL-C plasma levels. Baseline levels of PCSK9 were found to be related to the amplitude of LDL-C variations by increasing the concentration of free PCSK9 necessary to reach half its capacity of inhibition of LDL-C degradation.

conclusionThe maximum effect of alirocumab is achieved when free PCSK9 concentration is close to zero, as seen mostly after 150 mg every 2 weeks (Q2W) or 300 mg every 4 weeks (Q4W), indicating that there would be no additional clinical benefit of increasing the dose higher than these recommended dosing regimens.

Indexed as

Anticholesteremic AgentsHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaAntibodies, Monoclonal, HumanizedCholesterol, LDLClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicHumansPCSK9 InhibitorsRandomized Controlled Trials as TopicalirocumabAntibodies, Monoclonal, HumanizedAnticholesteremic AgentsCholesterol, LDLHydroxymethylglutaryl-CoA Reductase InhibitorsPCSK9 Inhibitors

Identifiers

PMID35974290
PMCPMC9633469
OpenAlexW4291997253

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.