Evidence map›Paper›PMID 28267162›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2017

Multi-functional scaling methodology for translational pharmacokinetic and pharmacodynamic applications using integrated microphysiological systems (MPS).

Christian Maass, Cynthia L Stokes, Linda G Griffith, Murat Cirit

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
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  3. A primary human Gut/Liver microphysiological system to estimate human oral bioavailability.Drug metabolism and disposition: the biological fate of chemicals · 2025
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  11. Engineering Modular 3D Liver Culture MicroenvironmentsAdvanced nanobiomed research · 2022
    Article
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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

4 authors.

Christian MaassDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA. mcirit@mit.edu.ORCID 0000-0001-7618-0421
Cynthia L StokesStokes Consulting, Redwood City, USA.
Linda G GriffithDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA. mcirit@mit.edu.
Murat CiritDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA. mcirit@mit.edu.

Funding

Probing the Role of the Tumor Microenvironment on Mechanistic Biomarkers for Chemotherapeutic ResistanceUH3TR000496 · NCATS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRIFFITH, LINDA G · 2014 to 2016
$3.5M
NCATS NIH HHS UH3 TR000496
6 · The paper itself

Abstract

Microphysiological systems (MPS) provide relevant physiological environments in vitro for studies of pharmacokinetics, pharmacodynamics and biological mechanisms for translational research. Designing multi-MPS platforms is essential to study multi-organ systems. Typical design approaches, including direct and allometric scaling, scale each MPS individually and are based on relative sizes not function. This study's aim was to develop a new multi-functional scaling approach for integrated multi-MPS platform design for specific applications. We developed an optimization approach using mechanistic modeling and specification of an objective that considered multiple MPS functions, e.g., drug absorption and metabolism, simultaneously to identify system design parameters. This approach informed the design of two hypothetical multi-MPS platforms consisting of gut and liver (multi-MPS platform I) and gut, liver and kidney (multi-MPS platform II) to recapitulate in vivo drug exposures in vitro. This allows establishment of clinically relevant drug exposure-response relationships, a prerequisite for efficacy and toxicology assessment. Design parameters resulting from multi-functional scaling were compared to designs based on direct and allometric scaling. Human plasma time-concentration profiles of eight drugs were used to inform the designs, and profiles of an additional five drugs were calculated to test the designed platforms on an independent set. Multi-functional scaling yielded exposure times in good agreement with in vivo data, while direct and allometric scaling approaches resulted in short exposure durations. Multi-functional scaling allows appropriate scaling from in vivo to in vitro of multi-MPS platforms, and in the cases studied provides designs that better mimic in vivo exposures than standard MPS scaling methods.

Indexed as

Cell Culture TechniquesDrug Evaluation, PreclinicalPharmacokineticsAnimalsDose-Response Relationship, DrugHumansIntestinal MucosaIntestinesKidneyLiverModels, BiologicalTranslational Research, Biomedical

Identifiers

PMID28267162
PMCPMC5729907

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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.