Evidence map›Paper›PMID 29540740›Full record

ArticleScientific reports2018

Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies.

Collin D Edington, Wen Li Kelly Chen, Emily Geishecker, Timothy Kassis, Luis R Soenksen, Brij M Bhushan, Duncan Freake, Jared Kirschner, Christian Maass, Nikolaos Tsamandouras and 28 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 242 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
242citing papers in PubMed, 1 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

242 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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182 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

38 authors.

Collin D EdingtonDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Wen Li Kelly ChenDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Emily GeisheckerDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Timothy KassisDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-8851-1224
Luis R SoenksenDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-7890-7209
Brij M BhushanDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Duncan FreakeContinuum LLC, Boston, MA, USA.
Jared KirschnerContinuum LLC, Boston, MA, USA.
Christian MaassDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-7618-0421
Nikolaos TsamandourasDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jorge ValdezDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Christi D CookDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-8272-6419
Tom ParentContinuum LLC, Boston, MA, USA.
Stephen SnyderContinuum LLC, Boston, MA, USA.
Jiajie YuDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Emily SuterDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Michael ShockleyDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jason VelazquezDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jeremy J VelazquezDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Linda StockdaleDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Julia P PappsDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Iris LeeDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nicholas VannDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Mario GamboaDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Matthew E LaBargeDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Zhe ZhongDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Xin WangDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Laurie A BoyerDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Douglas A LauffenburgerDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Rebecca L CarrierDepartment of Chemical Engineering, Northeastern University, Boston, MA, USA.
Catherine CommunalDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Steven R TannenbaumDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Cynthia L StokesStokes Consulting, Redwood City, CA, USA.
David J HughesCnBio Innovations, Hertfordshire, United Kingdom.
Gaurav RohatgiContinuum LLC, Boston, MA, USA.
David L TrumperDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. trumper@mit.edu.
Murat CiritDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. mcirit@mit.edu.
Linda G GriffithDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. griff@mit.edu.

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LEVINE, STUART S · 1985 to 2020
$25.6M
Interdepartmental Biotechnology Training ProgramT32GM008334 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 1989 to 2018
$15.2M
NIEHS NIH HHS P30 ES002109NIGMS NIH HHS T32 GM008334
6 · The paper itself

Abstract

Microphysiological systems (MPSs) are in vitro models that capture facets of in vivo organ function through use of specialized culture microenvironments, including 3D matrices and microperfusion. Here, we report an approach to co-culture multiple different MPSs linked together physiologically on re-useable, open-system microfluidic platforms that are compatible with the quantitative study of a range of compounds, including lipophilic drugs. We describe three different platform designs - "4-way", "7-way", and "10-way" - each accommodating a mixing chamber and up to 4, 7, or 10 MPSs. Platforms accommodate multiple different MPS flow configurations, each with internal re-circulation to enhance molecular exchange, and feature on-board pneumatically-driven pumps with independently programmable flow rates to provide precise control over both intra- and inter-MPS flow partitioning and drug distribution. We first developed a 4-MPS system, showing accurate prediction of secreted liver protein distribution and 2-week maintenance of phenotypic markers. We then developed 7-MPS and 10-MPS platforms, demonstrating reliable, robust operation and maintenance of MPS phenotypic function for 3 weeks (7-way) and 4 weeks (10-way) of continuous interaction, as well as PK analysis of diclofenac metabolism. This study illustrates several generalizable design and operational principles for implementing multi-MPS "physiome-on-a-chip" approaches in drug discovery.

Indexed as

Lab-On-A-Chip DevicesAnimalsCoculture TechniquesDiclofenacDrug Evaluation, PreclinicalHumansLiverMicrochip Analytical ProceduresModels, BiologicalPhenotypeRatsDiclofenac

Identifiers

PMID29540740
PMCPMC5852083

What OpenQuestion holds

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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.