Evidence map›Paper›PMID 35552967›Full record

ReviewPharmaceutical research2022

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

Wen Lin, Yuan Chen, Jashvant D Unadkat, Xinyuan Zhang, Di Wu, Tycho Heimbach

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pharmaceutical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
46.8field-weighted citation impact, top 1% 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

78 citing papers in PubMed, 133 citations in OpenAlex.

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18 more citing papers are in PubMed but not listed here.

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 1 country.

Wen LinClinical Pharmacology & Pharmacometrics, Janssen Research and Development, Raritan, New Jersey, 08869, USA.ORCID http://orcid.org/0000-0003-4012-1272
Yuan ChenDepartment of Drug Metabolism and Pharmacokinetics, Genentech Inc., CA, South San Francisco, USA.
Jashvant D UnadkatDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington, 98195, USA.
Xinyuan ZhangDivision of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Ave., Bldg. 51, Room 2128, Silver Spring, Maryland, 20993, USA. Xinyuan.Zhang@fda.hhs.gov.
Di WuPharmaceutical Sciences, MRL, Merck & Co., Inc., NJ, 07065, Rahway, USA.
Tycho HeimbachPharmaceutical Sciences, MRL, Merck & Co., Inc., NJ, 07065, Rahway, USA.
Merck & Co., Inc., Rahway, NJ, USA (United States) · USJanssen (United States) · USUnited States Food and Drug Administration · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several regulatory guidances on the use of physiologically based pharmacokinetic (PBPK) analyses and physiologically based biopharmaceutics model(s) (PBBM(s)) have been issued. Workshops are routinely held, demonstrating substantial interest in applying these modeling approaches to address scientific questions in drug development. PBPK models and PBBMs have remarkably contributed to model-informed drug development (MIDD) such as anticipating clinical PK outcomes affected by extrinsic and intrinsic factors in general and specific populations. In this review, we proposed practical considerations for a "base" PBPK model construction and development, summarized current status, challenges including model validation and gaps in system models, and future perspectives in PBPK evaluation to assess a) drug metabolizing enzyme(s)- or drug transporter(s)- mediated drug-drug interactions b) dosing regimen prediction, sampling timepoint selection and dose validation in pediatric patients from newborns to adolescents, c) drug exposure in patients with renal and/or and hepatic organ impairment, d) maternal-fetal drug disposition during pregnancy, and e) pH-mediated drug-drug interactions in patients treated with proton pump inhibitors/acid-reducing agents (PPIs/ARAs) intended for gastric protection. Since PBPK can simulate outcomes in clinical studies with enrollment challenges or ethical issues, the impact of PBPK models on waivers and how to strengthen study waiver is discussed.

Indexed as

BiopharmaceuticsModels, BiologicalAdolescentChildComputer SimulationDrug InteractionsHumansInfant, Newbornabsorptionbioavailabilitydistributiondrug-drug interaction(s)excretionmetabolismpharmacokineticsphysiologically based pharmacokinetic (PBPK)

Identifiers

PMID35552967
OpenAlexW4280544609

What OpenQuestion holds

Textmetadata
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.