Literature DB >> 28990526

PBPK in Preterm and Term Neonates: A Review.

Robin Michelet1,2, Jan Van Bocxlaer1,2, An Vermeulen1,2.   

Abstract

INTRODUCTION: The neonatal population remains one of the populations in which appropriate dosing regimens are still lacking, resulting in a large off-label or unlicensed use. Clinical research in these small infants remains a challenge, which sparks the need for modeling and simulation as an additional tool for neonatal drug research.
METHODS: The use of physiologically based pharmacokinetic modeling in preterm and term neonates is investigated.
RESULTS: Throughout the last decade, the use of this modeling technique in this vulnerable population has received increased attention, but still many knowledge gaps exist. Firstly, an overview of the top-down, bottom-up and middle-out approach is given, and then these different modeling tools regarding feasibility and appropriate use are compared. The challenges in applying PBPK to this young population are highlighted and possible solutions are presented. Examples of applications were found in literature and a preference for the combination of a pure bottom- up approach with clinical data (the "middle-out" approach) was detected.
CONCLUSION: Perspectives to further apply this powerful modeling methodology in this population are described in order to become 'the tool' for the design of First-in-Human and First-in-Neonate trials, and the individualization of dosing in these therapeutic orphans. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  PBPK; bottom-up approach; neonates; pediatric drug research.; pharmacokinetics; retrograde approach

Mesh:

Substances:

Year:  2017        PMID: 28990526     DOI: 10.2174/1381612823666171009143840

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  6 in total

1.  The use of PBPK modeling across the pediatric age range using propofol as a case.

Authors:  Robin Michelet; Jan Van Bocxlaer; Karel Allegaert; An Vermeulen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-10-08       Impact factor: 2.745

Review 2.  Extent, reasons and consequences of off-labeled and unlicensed drug prescription in hospitalized children: a narrative review.

Authors:  Wasim Shuib; Xin-Yin Wu; Fang Xiao
Journal:  World J Pediatr       Date:  2021-06-02       Impact factor: 2.764

3.  Physiologically Based Pharmacokinetic Modeling Framework to Predict Neonatal Pharmacokinetics of Transplacentally Acquired Emtricitabine, Dolutegravir, and Raltegravir.

Authors:  Xiaomei I Liu; Jeremiah D Momper; Natella Y Rakhmanina; Dionna J Green; Gilbert J Burckart; Tim R Cressey; Mark Mirochnick; Brookie M Best; John N van den Anker; André Dallmann
Journal:  Clin Pharmacokinet       Date:  2021-02-02       Impact factor: 5.577

Review 4.  A Physiology-Based Pharmacokinetic Framework to Support Drug Development and Dose Precision During Therapeutic Hypothermia in Neonates.

Authors:  Anne Smits; Pieter Annaert; Steven Van Cruchten; Karel Allegaert
Journal:  Front Pharmacol       Date:  2020-05-13       Impact factor: 5.810

Review 5.  Nursing Personnel in the Era of Personalized Healthcare in Clinical Practice.

Authors:  Marios Spanakis; Athina E Patelarou; Evridiki Patelarou
Journal:  J Pers Med       Date:  2020-06-29

6.  A Physiologically-Based Pharmacokinetic Framework for Prediction of Drug Exposure in Malnourished Children.

Authors:  Erik Sjögren; Joel Tarning; Karen I Barnes; E Niclas Jonsson
Journal:  Pharmaceutics       Date:  2021-02-02       Impact factor: 6.321

  6 in total

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