Evidence map›Paper›PMID 32449129›Full record

ArticleThe AAPS journal2020

Development and Application of a Physiologically-Based Pharmacokinetic Model to Predict the Pharmacokinetics of Therapeutic Proteins from Full-term Neonates to Adolescents.

Xian Pan, Felix Stader, Khaled Abduljalil, Katherine L Gill, Trevor N Johnson, Iain Gardner, Masoud Jamei

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In one paragraph

Article in The AAPS journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Xian PanCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK. xian.pan@certara.com.ORCID http://orcid.org/0000-0003-2418-5970
Felix StaderUniversity of Basel, Basel, Switzerland.
Khaled AbduljalilCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
Katherine L GillCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
Trevor N JohnsonCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
Iain GardnerCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
Masoud JameiCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
Simcyp (United Kingdom) · GBSheffield Industrial Museums Trust · GBUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physiologically-based pharmacokinetic (PBPK) modelling provides an integrated framework to predict the disposition of small molecule drugs in children and is increasingly being used for dose recommendation and optimal design of paediatric studies and in regulatory submissions. Existing paediatric PBPK models can be adopted to describe the disposition of therapeutic proteins (TPs) in children by incorporating information on age-related changes of additional physiological and biological parameters (e.g. endogenous IgG, neonatal Fc receptor, lymph flow). In this study, physiological parameters were collated from literature and evaluated for any age-dependent trends. The age-dependent physiological parameters were used to construct a paediatric PBPK model for TPs. The model was then used to predict the pharmacokinetics of recombinant human erythropoietin (EPO), infliximab, etanercept, basiliximab, anakinra and enfuvirtide in paediatric subjects. The developed paediatric PBPK model predicted the drug concentration-time profiles reasonably well in full-term neonates (clinical PK data only available for EPO), infants, children and adolescents with the ratios of predicted over observed clearance values within 1.5-fold and 25 out of 26 clearance predictions were within 0.8- to 1.25-fold of the observed values. The clinically reported data are required to further assess the predictive accuracy of PK for Fc-containing proteins in term-born children younger than 2 months. This study demonstrates the ability of PBPK models accounting for age-dependent changes in relevant parameters to predict the pharmacokinetics of different types of TPs in paediatrics. The information gained from the PBPK models described here can facilitate our understanding of the complexities of TPs' disposition during growth and development.

Indexed as

Models, BiologicalAdolescentAntibodies, MonoclonalChildChild, PreschoolComputer SimulationErythropoietinForecastingGlycoproteinsHumansInfantInfant, NewbornInfliximabIntercellular Signaling Peptides and ProteinsLymphProteinsAntibodies, MonoclonalErythropoietinGlycoproteinsInfliximabIntercellular Signaling Peptides and ProteinsProteinsmonoclonal antibodiespaediatricsPBPKtherapeutic proteins

Identifiers

PMID32449129
OpenAlexW3028038444

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.