Evidence map›Paper›PMID 34189743›Full record

ArticleBritish journal of clinical pharmacology2022

A population physiologically-based pharmacokinetic model to characterize antibody disposition in pediatrics and evaluation of the model using infliximab.

Hsuan Ping Chang, Valentina Shakhnovich, Adam Frymoyer, Ryan Sol Funk, Mara L Becker, K T Park, Dhaval K Shah

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. 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

7 authors at 5 institutions in 1 country.

Hsuan Ping ChangDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, NY, United States.
Valentina ShakhnovichChildren's Mercy Kansas City, Kansas City, MO, United States.
Adam FrymoyerDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States.
Ryan Sol FunkDepartment of Pharmacy Practice, University of Kansas School of Pharmacy, Kansas City, KS, United States.
Mara L BeckerDepartment of Pediatrics, Division of Rheumatology, Duke University, Durham, NC, United States.
K T ParkGenentech, Inc., South San Francisco, CA, USA.
Dhaval K ShahDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, NY, United States.ORCID 0000-0002-0723-6206
University at Buffalo, State University of New York · USChildren's Mercy Hospital · USDuke University · USStanford University · USUniversity of Kansas · US

Funding

COVID-19 Supplement - Center for Innovative TRIals in ChilDrEN and AdulTs (TRIDENT)U24TR001608 · NCATS · DUKE UNIVERSITY · PI BENJAMIN, DANIEL K. · 2016 to 2022
$177.0M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Steven Allan Soper, Alan S Yu · 2019 to 2026
$21.5M
Tissue Repository CoreP30AR070549 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI Leah Claire Kottyan · 2016 to 2026
$7.7M
Institutional Career Development CoreKL2TR002367 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI MATTHEW W MOSCONI, NICOLE L NOLLEN · 2017 to 2026
$7.3M
Identifying Pharmacogenomic Predictors of Methotrexate Response and Metabolite Biotransformation in JIAR01HD089928 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI BECKER, MARA LEIGH, THOMPSON, SUSAN D · 2017 to 2021
$2.8M
Pharmacokinetic strategies to increase monoclonal antibody uptake, distribution, and efficacy for treatment of solid tumorsR01CA246785 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BALTHASAR, JOSEPH P, SHAH, DHAVAL K · 2020 to 2024
$1.8M
Translational Systems Pharmacokinetic Models of Novel Anticancer BiologicsR01GM114179 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SHAH, DHAVAL K · 2015 to 2019
$1.7M
Effect of Obesity on Pantoprazole Pharmacokinetics and Pharmacodynamics in ChildrenK23DK115827 · NIDDK · CHILDREN'S MERCY HOSP (KANSAS CITY, MO) · PI SHAKHNOVICH, VALENTINA · 2020 to 2023
$756k
Modulation of antigen pharmacokinetics with pH dependent antibodyR21AI138195 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PARK, SHELDON · 2018 to 2019
$425k
NCATS NIH HHS KL2 TR002367NCATS NIH HHS U24 TR001608NCI NIH HHS R01 CA246785NIAID NIH HHS R21 AI138195NIAMS NIH HHS L40 AR074291NIAMS NIH HHS P30 AR070549NICHD NIH HHS R01 HD089928NIDDK NIH HHS K23 DK115827NIGMS NIH HHS P20 GM130423NIGMS NIH HHS R01 GM114179
6 · The paper itself

Abstract

aimsIn order to better predict the pharmacokinetics (PK) of antibodies in children, and to facilitate dose optimization of antibodies in paediatric patients, there is a need to develop systems PK models that integrate ontogeny-related changes in human physiological parameters.

methodsA population-based physiological-based PK (PBPK) model to characterize antibody PK in paediatrics has been developed, by incorporating age-related changes in body weight, organ weight, organ blood flow rate and interstitial volumes in a previously published platform model. The model was further used to perform Monte Carlo simulations to investigate clearance vs. age and dose-exposure relationships for infliximab.

resultsBy estimating only one parameter and associated interindividual variability, the model was able to characterize clinical PK of infliximab from two paediatric cohorts (n = 141, 4-19 years) reasonably well. Model simulations demonstrated that only 50% of children reached desired trough concentrations when receiving FDA-labelled dosing regimen for infliximab, suggesting that higher doses and/or more frequent dosing are needed to achieve target trough concentrations of this antibody.

conclusionThe paediatric PBPK model presented here can serve as a framework to characterize the PK of antibodies in paediatric patients. The model can also be applied to other protein therapeutics to advance precision medicine paradigm and optimize antibody dosing regimens in children.

Indexed as

Models, BiologicalPediatricsChildHumansInfliximabMonte Carlo MethodPrecision MedicineInfliximabinfliximab (Remicade)monoclonal antibodiespaediatricsphysiologically-based pharmacokineticspopulation pharmacokinetics

Identifiers

PMID34189743
PMCPMC8714867
OpenAlexW3176404018

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.