Literature DB >> 33325034

Physiological-based pharmacokinetic modeling trends in pharmaceutical drug development over the last 20-years; in-depth analysis of applications, organizations, and platforms.

Eman El-Khateeb1,2, Susan Burkhill3, Susan Murby1, Hamza Amirat1, Amin Rostami-Hodjegan1,3, Amais Ahmad1.   

Abstract

We assess the advancement of physiologically based pharmacokinetic (PBPK) modeling and simulation (M&S) over the last 20 years (start of 2000 to end of 2019) focusing on the trends in each decade with the relative contributions from different organizations, areas of applications, and software tools used. Unlike many of the previous publications which focused on regulatory applications, our analysis is based on PBPK publications in peer-reviewed journals based on a large sample (>700 original articles). We estimated a rate of growth for PBPK (>40 fold/20 years) that was much steeper than the general pharmacokinetic modeling (<3 fold/20 years) or overall scientific publications (∼3 fold/20 years). The analyses demonstrated that contrary to commonly held belief, commercial specialized PBPK platforms with graphical-user interface were a much more popular choice than open-source alternatives even within academic organizations. These platforms constituted 81% of the whole set of the sample we assessed. The major PBPK applications (top 3) were associated with the study design, predicting formulation effects, and metabolic drug-drug interactions, while studying the fate of drugs in special populations, predicting kinetics in early drug development, and investigating transporter drug interactions have increased proportionally over the last decade. The proportions of application areas based on published research were distinctively different from those shown previously for the regulatory submissions and impact on labels. This may demonstrate the lag time between the research applications versus verified usage within the regulatory framework. The report showed the trend of overall PBPK publications in pharmacology drug development from the past 2 decades stratified by the organizations involved, software used, and area of applications. The analysis showed a more rapid increase in PBPK than that of the pharmacokinetic space itself with an equal contribution from academia and industry. By establishing and recording the journey of PBPK modeling in the past and looking at its current status, the analysis can be used for devising plans based on the anticipated trajectory of future regulatory applications.
© 2021 The Authors. Biopharmaceutics & Drug Disposition published by John Wiley & Sons Ltd.

Entities:  

Keywords:  PBPK; in-silico modeling; modeling and simulation

Mesh:

Substances:

Year:  2021        PMID: 33325034     DOI: 10.1002/bdd.2257

Source DB:  PubMed          Journal:  Biopharm Drug Dispos        ISSN: 0142-2782            Impact factor:   1.627


  15 in total

1.  Physiologically based pharmacokinetic (PBPK) modeling of flurbiprofen in different CYP2C9 genotypes.

Authors:  Sang-Sup Whang; Chang-Keun Cho; Eui Hyun Jung; Pureum Kang; Hye-Jung Park; Yun Jeong Lee; Chang-Ik Choi; Jung-Woo Bae; Hyung Sik Kim; Choon-Gon Jang; Seok-Yong Lee
Journal:  Arch Pharm Res       Date:  2022-08-26       Impact factor: 6.010

Review 2.  Applications, Challenges, and Outlook for PBPK Modeling and Simulation: A Regulatory, Industrial and Academic Perspective.

Authors:  Wen Lin; Yuan Chen; Jashvant D Unadkat; Xinyuan Zhang; Di Wu; Tycho Heimbach
Journal:  Pharm Res       Date:  2022-05-13       Impact factor: 4.580

3.  Application of a Physiologically Based Pharmacokinetic Approach to Predict Theophylline Pharmacokinetics Using Virtual Non-Pregnant, Pregnant, Fetal, Breast-Feeding, and Neonatal Populations.

Authors:  Khaled Abduljalil; Iain Gardner; Masoud Jamei
Journal:  Front Pediatr       Date:  2022-05-12       Impact factor: 3.569

4.  Guide to development of compound files for PBPK modeling in the Simcyp population-based simulator.

Authors:  Udoamaka Ezuruike; Mian Zhang; Amita Pansari; Mailys De Sousa Mendes; Xian Pan; Sibylle Neuhoff; Iain Gardner
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-04-18

5.  Physiologically-based pharmacokinetic modeling to evaluate in vitro-to-in vivo extrapolation for intestinal P-glycoprotein inhibition.

Authors:  Shinji Yamazaki; Raymond Evers; Loeckie De Zwart
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-11-06

6.  Increasing application of pediatric physiologically based pharmacokinetic models across academic and industry organizations.

Authors:  Trevor N Johnson; Ben G Small; Karen Rowland Yeo
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-02-17

7.  Physiologically Based Pharmacokinetic Modeling Approaches for Patients With SARS-CoV-2 Infection: A Case Study With Imatinib.

Authors:  Jeffry Adiwidjaja; Josephine A Adattini; Alan V Boddy; Andrew J McLachlan
Journal:  J Clin Pharmacol       Date:  2022-05-08       Impact factor: 2.860

Review 8.  Opening a debate on open-source modeling tools: Pouring fuel on fire versus extinguishing the flare of a healthy debate.

Authors:  Amin Rostami-Hodjegan; Frederic Y Bois
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-05-01

Review 9.  Model-Informed Precision Dosing of Antibiotics in Osteoarticular Infections.

Authors:  Lingling Liu; Jin Wang; Huan Zhang; Mengli Chen; Yun Cai
Journal:  Infect Drug Resist       Date:  2022-01-11       Impact factor: 4.003

10.  A latent variable approach to account for correlated inputs in global sensitivity analysis.

Authors:  Nicola Melillo; Adam S Darwich
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-05-25       Impact factor: 2.745

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