Evidence map›Paper›PMID 29789564›Full record

ArticleScientific reports2018

Establishing quasi-steady state operations of microphysiological systems (MPS) using tissue-specific metabolic dependencies.

Christian Maass, Matthew Dallas, Matthew E LaBarge, Michael Shockley, Jorge Valdez, Emily Geishecker, Cynthia L Stokes, Linda G Griffith, Murat Cirit

Abstract readEvaluation Study
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 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. Article
  2. Review
  3. Tissue chips as headway model and incitement technology.Synthetic and systems biotechnology · 2025
    Review
  4. Intestinal organ chips for disease modelling and personalized medicine.Nature reviews. Gastroenterology & hepatology · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
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

9 authors.

Christian MaassDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-7618-0421
Matthew DallasThermo Fisher Scientific, Frederick, MD, USA.
Matthew E LaBargeDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Michael ShockleyDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jorge ValdezDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Emily GeisheckerDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Cynthia L StokesStokes Consulting, Redwood City, CA, USA.
Linda G GriffithDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Murat CiritDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. mcirit@mit.edu.

Funding

Translational Center of Tissue Chip Technologies for quantitative characterization of Microphysiological SystemsU24TR001951 · NCATS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CIRIT, MURAT, GRODZINSKY, ALAN J. · 2016 to 2017
$5.3M
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 U24 TR001951NCATS NIH HHS UH3 TR000496
6 · The paper itself

Abstract

Microphysiological systems (MPS), consisting of tissue constructs, biomaterials, and culture media, aim to recapitulate relevant organ functions in vitro. MPS components are housed in fluidic hardware with operational protocols, such as periodic complete media replacement. Such batch-like operations provide relevant nutrients and remove waste products but also reset cell-secreted mediators (e.g. cytokines, hormones) and potentially limit exposure to drugs (and metabolites). While each component plays an essential role for tissue functionality, MPS-specific nutrient needs are not yet well-characterized nor utilized to operate MPSs at more physiologically-relevant conditions. MPS-specific nutrient needs for gut (immortalized cancer cells), liver (human primary hepatocytes) and cardiac (iPSC-derived cardiomyocytes) MPSs were experimentally quantified. In a long-term study of the gut MPS (10 days), this knowledge was used to design operational protocols to maintain glucose and lactate at desired levels. This quasi-steady state operation was experimentally validated by monitoring glucose and lactate as well as MPS functionality. In a theoretical study, nutrient needs of an integrated multi-MPS platform (gut, liver, cardiac MPSs) were computationally simulated to identify long-term quasi-steady state operations. This integrative experimental and computational approach demonstrates the utilization of quantitative multi-scale characterization of MPSs and incorporating MPS-specific information to establish more physiologically-relevant experimental operations.

Indexed as

Systems IntegrationBiochemical PhenomenaCaco-2 CellsCell Culture TechniquesCells, CulturedComputer SimulationCulture MediaEcosystemEnergy MetabolismGlucoseHT29 CellsHumansInduced Pluripotent Stem CellsIntestinesLactic AcidLiverCulture MediaGlucoseLactic Acid

Identifiers

PMID29789564
PMCPMC5964119

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.