Evidence map›Paper›PMID 27760784›Full record

ArticleThe Journal of pharmacology and experimental therapeutics2017

Quantitative Assessment of Population Variability in Hepatic Drug Metabolism Using a Perfused Three-Dimensional Human Liver Microphysiological System.

N Tsamandouras, T Kostrzewski, C L Stokes, L G Griffith, D J Hughes, M Cirit

Abstract read
In one paragraph

Article in The Journal of pharmacology and experimental therapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
–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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Integration of microphysiological systems with computational and digital twin modeling for pharmaceutical development: a systematic review.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
    Pooled it
  2. Pooled it
  3. Article
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  8. Frontiers in global women's health · 2026
    Review
  9. Article
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  12. Article
  13. Microphysiological systems to advance human pathophysiology and translational medicine.Journal of applied physiology (Bethesda, Md. : 1985) · 2024
    Review
  14. Review
  15. Modeling Tumor Cell Dormancy in an Ex Vivo Liver Metastatic Niche.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  16. Modeling Liver Development and Disease in a Dish.International journal of molecular sciences · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Review

2 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.

N TsamandourasDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts (N.T., L.G.G., M.C.); CN Bio Innovations, Hertfordshire, United Kingdom (T.K., D.J.H.); and Stokes Consulting, Redwood City, California (C.L.S.).
T KostrzewskiDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts (N.T., L.G.G., M.C.); CN Bio Innovations, Hertfordshire, United Kingdom (T.K., D.J.H.); and Stokes Consulting, Redwood City, California (C.L.S.).
C L StokesDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts (N.T., L.G.G., M.C.); CN Bio Innovations, Hertfordshire, United Kingdom (T.K., D.J.H.); and Stokes Consulting, Redwood City, California (C.L.S.).
L G GriffithDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts (N.T., L.G.G., M.C.); CN Bio Innovations, Hertfordshire, United Kingdom (T.K., D.J.H.); and Stokes Consulting, Redwood City, California (C.L.S.).
D J HughesDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts (N.T., L.G.G., M.C.); CN Bio Innovations, Hertfordshire, United Kingdom (T.K., D.J.H.); and Stokes Consulting, Redwood City, California (C.L.S.).
M CiritDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts (N.T., L.G.G., M.C.); CN Bio Innovations, Hertfordshire, United Kingdom (T.K., D.J.H.); and Stokes Consulting, Redwood City, California (C.L.S.) 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

In this work, we first describe the population variability in hepatic drug metabolism using cryopreserved hepatocytes from five different donors cultured in a perfused three-dimensional human liver microphysiological system, and then show how the resulting data can be integrated with a modeling and simulation framework to accomplish in vitro-in vivo translation. For each donor, metabolic depletion profiles of six compounds (phenacetin, diclofenac, lidocaine, ibuprofen, propranolol, and prednisolone) were measured, along with metabolite formation, mRNA levels of 90 metabolism-related genes, and markers of functional viability [lactate dehydrogenase (LDH) release, albumin, and urea production]. Drug depletion data were analyzed with mixed-effects modeling. Substantial interdonor variability was observed with respect to gene expression levels, drug metabolism, and other measured hepatocyte functions. Specifically, interdonor variability in intrinsic metabolic clearance ranged from 24.1% for phenacetin to 66.8% for propranolol (expressed as coefficient of variation). Albumin, urea, LDH, and cytochrome P450 mRNA levels were identified as significant predictors of in vitro metabolic clearance. Predicted clearance values from the liver microphysiological system were correlated with the observed in vivo values. A population physiologically based pharmacokinetic model was developed for lidocaine to illustrate the translation of the in vitro output to the observed pharmacokinetic variability in vivo. Stochastic simulations with this model successfully predicted the observed clinical concentration-time profiles and the associated population variability. This is the first study of population variability in drug metabolism in the context of a microphysiological system and has important implications for the use of these systems during the drug development process.

Indexed as

PerfusionCryopreservationCytochrome P-450 Enzyme SystemHepatocytesHumansLiverL-Lactate DehydrogenasePharmaceutical PreparationsPhenotypeSerum AlbuminTissue Culture TechniquesTissue DistributionCytochrome P-450 Enzyme SystemL-Lactate DehydrogenasePharmaceutical PreparationsSerum Albumin

Identifiers

PMID27760784
PMCPMC5193075

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.