Evidence map›Paper›PMID 29944899›Full record

ReviewInternational journal of pharmaceutics2018

Formulation predictive dissolution (fPD) testing to advance oral drug product development: An introduction to the US FDA funded '21st Century BA/BE' project.

Bart Hens, Patrick D Sinko, Nicholas Job, Meagan Dean, Jozef Al-Gousous, Niloufar Salehi, Robert M Ziff, Yasuhiro Tsume, Marival Bermejo, Paulo Paixão and 13 more

Abstract readReview
In one paragraph

Review in International journal of pharmaceutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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  12. Acta pharmaceutica Sinica. B · 2021
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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

23 authors.

Bart HensDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA; Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven 3000, Belgium.
Patrick D SinkoDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Nicholas JobDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Meagan DeanDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Jozef Al-GousousDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Niloufar SalehiCenter for the Study of Complex Systems and Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109-2136, USA.
Robert M ZiffCenter for the Study of Complex Systems and Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109-2136, USA.
Yasuhiro TsumeDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Marival BermejoDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA; Department Engineering Pharmacy Section, Miguel Hernandez University, San Juan de Alicante, 03550 Alicante, Spain.
Paulo PaixãoDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA; Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Av. Professor Gama Pinto, 1649-003 Lisboa, Portugal.
James G BrasseurDepartment of Mechanical and Nuclear Engineering, Pennsylvania State University, University Park, PA 16802, USA; Department of Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO 80309, USA.
Alex YuDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Arjang TalattofDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Gail BenninghoffDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Peter LangguthDepartment of Pharmaceutical Technology and Biopharmaceutics, Johannes Gutenberg University Mainz, Staudinger Weg 5, Mainz D-55099, Germany.
Hans LennernäsDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
William L HaslerDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI 48109, USA.
Luca MarcianiNottingham Digestive Diseases Centre and NIHR Nottingham Biomedical Research Centre at Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham NG7 2UH, United Kingdom.
Joseph DickensDepartment of Statistics, University of Michigan, Ann Arbor, MI 48109, USA.
Kerby SheddenDepartment of Statistics, University of Michigan, Ann Arbor, MI 48109, USA.
Duxin SunDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Gregory E AmidonDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Gordon L AmidonDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA. Electronic address: glamidon@med.umich.edu.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
NCI NIH HHS P30 CA046592
6 · The paper itself

Abstract

Over the past decade, formulation predictive dissolution (fPD) testing has gained increasing attention. Another mindset is pushed forward where scientists in our field are more confident to explore the in vivo behavior of an oral drug product by performing predictive in vitro dissolution studies. Similarly, there is an increasing interest in the application of modern computational fluid dynamics (CFD) frameworks and high-performance computing platforms to study the local processes underlying absorption within the gastrointestinal (GI) tract. In that way, CFD and computing platforms both can inform future PBPK-based in silico frameworks and determine the GI-motility-driven hydrodynamic impacts that should be incorporated into in vitro dissolution methods for in vivo relevance. Current compendial dissolution methods are not always reliable to predict the in vivo behavior, especially not for biopharmaceutics classification system (BCS) class 2/4 compounds suffering from a low aqueous solubility. Developing a predictive dissolution test will be more reliable, cost-effective and less time-consuming as long as the predictive power of the test is sufficiently strong. There is a need to develop a biorelevant, predictive dissolution method that can be applied by pharmaceutical drug companies to facilitate marketing access for generic and novel drug products. In 2014, Prof. Gordon L. Amidon and his team initiated a far-ranging research program designed to integrate (1) in vivo studies in humans in order to further improve the understanding of the intraluminal processing of oral dosage forms and dissolved drug along the gastrointestinal (GI) tract, (2) advancement of in vitro methodologies that incorporates higher levels of in vivo relevance and (3) computational experiments to study the local processes underlying dissolution, transport and absorption within the intestines performed with a new unique CFD based framework. Of particular importance is revealing the physiological variables determining the variability in in vivo dissolution and GI absorption from person to person in order to address (potential) in vivo BE failures. This paper provides an introduction to this multidisciplinary project, informs the reader about current achievements and outlines future directions.

Indexed as

Drug LiberationAdministration, OralDrug CompoundingHumansUnited StatesUnited States Food and Drug AdministrationBioavailabilityBioequivalenceComputational fluid dynamicsIn vivo dissolutionManometryMRIOral absorption

Identifiers

PMID29944899
PMCPMC8845961

What OpenQuestion holds

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Registered trials

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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.