Evidence map›Paper›PMID 21575034›Full record

ArticleBritish journal of clinical pharmacology2011

A mechanism-based model for the population pharmacokinetics of free and bound aflibercept in healthy subjects.

Hoai-Thu Thai, Christine Veyrat-Follet, Nicole Vivier, Catherine Dubruc, Gerard Sanderink, France Mentré, Emmanuelle Comets

Abstract read
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Article in British journal of clinical pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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  6. A Tutorial on Target-Mediated Drug Disposition (TMDD) Models.CPT: pharmacometrics & systems pharmacology · 2015
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Hoai-Thu ThaiGlobal Metabolism and Pharmacokinetics Department, Sanofi-aventis, Paris, France. hoai-thu.thai@inserm.fr
Christine Veyrat-Follet
Nicole Vivier
Catherine Dubruc
Gerard Sanderink
France Mentré
Emmanuelle Comets

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAflibercept (VEGF-Trap), a novel anti-angiogenic agent that binds to VEGF, has been investigated for the treatment of cancer. The aim of this study was to develop a mechanism-based pharmacokinetic (PK) model for aflibercept to characterize its binding to VEGF and its PK properties in healthy subjects.

methodsData from two phase I clinical studies with aflibercept administered as a single intravenous infusion were included in the analysis. Free and bound aflibercept concentration-time data were analysed using a nonlinear mixed-effects modelling approach with MONOLIX 3.1.

resultsThe best structural model involved two compartments for free aflibercept and one for bound aflibercept, with a Michaelis-Menten type binding of free aflibercept to VEGF from the peripheral compartment. The typical estimated clearances for free and bound aflibercept were 0.88 l day(-1) and 0.14 l day(-1), respectively. The central volume of distribution of free aflibercept was 4.94 l. The maximum binding capacity was 0.99 mg day(-1) and the concentration of aflibercept corresponding to half of maximum binding capacity was 2.91 µg ml(-1). Interindividual variability of model parameters was moderate, ranging from 13.6% (V(max) ) to 49.8% (Q).

conclusionThe present PK model for aflibercept adequately characterizes the underlying mechanism of disposition of aflibercept and its nonlinear binding to VEGF.

Indexed as

Clinical Trials as TopicHumansMaleModels, BiologicalProtein BindingReceptors, Vascular Endothelial Growth FactorRecombinant Fusion ProteinsVascular Endothelial Growth Factor AafliberceptReceptors, Vascular Endothelial Growth FactorRecombinant Fusion ProteinsVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID21575034
PMCPMC3175510

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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.