Evidence map›Paper›PMID 24607703›Full record

ReviewAdvanced drug delivery reviews2014

Bioreactor technologies to support liver function in vitro.

Mohammad R Ebrahimkhani, Jaclyn A Shepard Neiman, Micha Sam B Raredon, David J Hughes, Linda G Griffith

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Engineering Modular 3D Liver Culture MicroenvironmentsAdvanced nanobiomed research · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. 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

5 authors.

Mohammad R EbrahimkhaniDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jaclyn A Shepard NeimanDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Micha Sam B RaredonDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
David J HughesCN Bio Innovations Ltd, Oxford, United Kingdom.
Linda G GriffithDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center for Gynepathology Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: griff@mit.edu.

Funding

Systems Biology of Cell Decision ProcessesP50GM068762 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KEATING, AMY E · 2003 to 2012
$32.3M
TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 1985 to 2020
$25.6M
Perfused 3D Tissue Surrogates for Complex Cell-Cell Communication SystemsR01EB010246 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRIFFITH, LINDA G · 2009 to 2013
$3.3M
Bioengineering partnership to improve chemical hazard testing paradigmsR01ES015241 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUSYN, IVAN · 2008 to 2012
$3.1M
All-Human Microphysical Model of Metastasis TherapyUH2TR000496 · NCATS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRIFFITH, LINDA G · 2012 to 2013
$2.3M
NCATS NIH HHS 5UH2TR000496-02NCATS NIH HHS UH2 TR000496NIBIB NIH HHS R01 EB 010246NIBIB NIH HHS R01 EB010246NIEHS NIH HHS P30 ES002109NIEHS NIH HHS P30-ES002109NIEHS NIH HHS R01-ES015241NIGMS NIH HHS P50 GM068762NIGMS NIH HHS P50-GM068762-08
6 · The paper itself

Abstract

Liver is a central nexus integrating metabolic and immunologic homeostasis in the human body, and the direct or indirect target of most molecular therapeutics. A wide spectrum of therapeutic and technological needs drives efforts to capture liver physiology and pathophysiology in vitro, ranging from prediction of metabolism and toxicity of small molecule drugs, to understanding off-target effects of proteins, nucleic acid therapies, and targeted therapeutics, to serving as disease models for drug development. Here we provide perspective on the evolving landscape of bioreactor-based models to meet old and new challenges in drug discovery and development, emphasizing design challenges in maintaining long-term liver-specific function and how emerging technologies in biomaterials and microdevices are providing new experimental models.

Indexed as

BioreactorsAnimalsCell Culture TechniquesHepatocytesHumansLiverOrgan Culture TechniquesBioreactorDrug developmentDrug toxicityHepatocytesLiver non-parenchymal cellsMicrofluidicOrgan on chipTissue engineering

Identifiers

PMID24607703
PMCPMC4144187

What OpenQuestion holds

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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.