Evidence map›Paper›PMID 20166997›Full record

ReviewCurrent drug metabolism2009

Design and application of microfluidic systems for in vitro pharmacokinetic evaluation of drug candidates.

T J Maguire, E Novik, P Chao, J Barminko, Y Nahmias, M L Yarmush, K-C Cheng

Abstract readReview
In one paragraph

Review in Current drug metabolism, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. A cell culture system to model pharmacokinetics using adjustable-volume perfused mixing chambers.Toxicology in vitro : an international journal published in association with BIBRA · 2023
    Article
  2. Review
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  9. Bioengineering considerations in liver regenerative medicine.Journal of biological engineering · 2017
    Review
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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

7 authors.

T J MaguireHurel Corporation, Beverley Hills, CA, USA.
E Novik
P Chao
J Barminko
Y Nahmias
M L Yarmush
K-C Cheng

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Alessio Fasano · 1994 to 2026
$31.6M
Bio-MicroElectroMechanical Systems Resource CenterP41EB002503 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET · 2004 to 2018
$17.4M
NIBIB NIH HHS P41 EB002503NIDDK NIH HHS P30 DK040561
6 · The paper itself

Abstract

One of the fundamental challenges facing the development of new chemical entities within the pharmaceutical industry is the extrapolation of key in vivo parameters from in vitro cell culture assays and animal studies. Development of microscale devices and screening assays incorporating primary human cells can potentially provide better, faster and more efficient prediction of in vivo toxicity and clinical drug performance. With this goal in mind, large strides have been made in the area of microfluidics to provide in vitro surrogates that are designed to mimic the physiological architecture and dynamics. More recent advancements have been made in the development of in vitro analogues to physiologically-based pharmacokinetic (PBPK) models - a mathematical model that represents the body as interconnected compartments specific for a particular organ. In this review we highlight recent advancements in human hepatocyte microscale culture, and describe the next generation of integrated devices, whose potential allows for the high throughput assessment of drug metabolism, distribution and pharmacokinetics.

Indexed as

Drug DesignAnimalsDrug Evaluation, PreclinicalHumansMicrofluidicsPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID20166997
PMCPMC3206315

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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.