Evidence map›Paper›PMID 31502692›Full record

ReviewJournal of clinical pharmacology2019

Incorporating Ontogeny in Physiologically Based Pharmacokinetic Modeling to Improve Pediatric Drug Development: What We Know About Developmental Changes in Membrane Transporters.

Kit Wun Kathy Cheung, Bianca D van Groen, Gilbert J Burckart, Lei Zhang, Saskia N de Wildt, Shiew-Mei Huang

Open access · greenAbstract readReview
In one paragraph

Review in Journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. A Pediatric Research Imperative: Addressing Neonates in Drug Development Through Understanding Neonatal Clinical Pharmacology.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Recent advances in the ontogeny of drug disposition.British journal of clinical pharmacology · 2022
    Review
  16. Transporters in Regulatory Science: Notable Contributions from Dr. Giacomini in the Past Two Decades.Drug metabolism and disposition: the biological fate of chemicals · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Article
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

6 authors at 4 institutions in 2 countries.

Kit Wun Kathy CheungDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.
Bianca D van GroenIntensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands.
Gilbert J BurckartOffice of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation & Research, US Food and Drug Administration, Silver Spring, MD, USA.
Lei ZhangOffice of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation & Research, US Food and Drug Administration, Silver Spring, MD, USA.
Saskia N de WildtIntensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands.
Shiew-Mei HuangOffice of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation & Research, US Food and Drug Administration, Silver Spring, MD, USA.
Erasmus MC - Sophia Children’s Hospital · NLUnited States Food and Drug Administration · USCenter for Drug Evaluation and Research · USOak Ridge Associated Universities · US

Funding

FDA HHS U01 FD004979FDA HHS U01 FD005978U.S. Food and Drug Administration U01FD004979/U01FD005978U.S. Food and Drug Administration Medical Countermeasures Initiative
6 · The paper itself

Abstract

Developmental changes in the biological processes involved in the disposition of drugs, such as membrane transporter expression and activity, may alter the drug exposure and clearance in pediatric patients. Physiologically based pharmacokinetic (PBPK) models take these age-dependent changes into account and may be used to predict drug exposure in children. As a result, this mechanistic-based tool has increasingly been applied to improve pediatric drug development. Under the Prescription Drug User Fee Act VI, the US Food and Drug Administration has committed to facilitate the advancement of PBPK modeling in the drug application review process. Yet, significant knowledge gaps on developmental biology still exist, which must be addressed to increase the confidence of prediction. Recently, more data on ontogeny of transporters have emerged and supplied a missing piece of the puzzle. This article highlights the recent findings on the ontogeny of transporters specifically in the intestine, liver, and kidney. It also provides a case study that illustrates the utility of incorporating this information in predicting drug exposure in children using a PBPK approach. Collaborative work has greatly improved the understanding of the interplay between developmental physiology and drug disposition. Such efforts will continue to be needed to address the remaining knowledge gaps to enhance the application of PBPK modeling in drug development for children.

Indexed as

Drug DevelopmentChildChild, PreschoolHumansInfantInfant, NewbornKidneyLiverMembrane Transport ProteinsModels, BiologicalPharmaceutical PreparationsMembrane Transport ProteinsPharmaceutical Preparationschildrenmodel-informed drug developmentontogenyPBPKpediatricphysiologically based pharmacokinetic modelingtransporters

Identifiers

PMID31502692
PMCPMC7408403
OpenAlexW2972717137

What OpenQuestion 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 OpenQuestion graph.