Evidence map›Paper›PMID 25027500›Full record

ReviewALTEX2014

State-of-the-art of 3D cultures (organs-on-a-chip) in safety testing and pathophysiology.

Natalie Alépée, Anthony Bahinski, Mardas Daneshian, Bart De Wever, Ellen Fritsche, Alan Goldberg, Jan Hansmann, Thomas Hartung, John Haycock, Helena Hogberg and 17 more

Abstract readReview
In one paragraph

Review in ALTEX, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

  1. Article
  2. Review
  3. Skin-on-chip: Quo vadis?APL bioengineering · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Development of a micronucleus test using the EpiAirway™ organotypic human airway model.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2023
    Article
  13. Article
  14. Review
  15. Review
  16. Three-Dimensional Spheroids for Cancer Research.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Article

32 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

27 authors.

Natalie AlépéeL'Oréal R&I, Aulnay, France.
Anthony Bahinski
Mardas Daneshian
Bart De Wever
Ellen Fritsche
Alan Goldberg
Jan Hansmann
Thomas Hartung
John Haycock
Helena Hogberg
Lisa Hoelting
Jens M Kelm
Suzanne Kadereit
Emily McVey
Robert Landsiedel
Marcel Leist
Marc Lübberstedt
Fozia Noor
Christian Pellevoisin
Dirk Petersohn
Uwe Pfannenbecker
Kerstin Reisinger
Tzutzuy Ramirez
Barbara Rothen-Rutishauser
Monika Schäfer-Korting
Katrin Zeilinger
Marie-Gabriele Zurich

Funding

A 3D Model of Human Brain Development for Studying Gene/Environment InteractionsU18TR000547 · NCATS · JOHNS HOPKINS UNIVERSITY · PI HARTUNG, THOMAS · 2012 to 2013
$865k
NCATS NIH HHS U18 TR000547
6 · The paper itself

Abstract

Integrated approaches using different in vitro methods in combination with bioinformatics can (i) increase the success rate and speed of drug development; (ii) improve the accuracy of toxicological risk assessment; and (iii) increase our understanding of disease. Three-dimensional (3D) cell culture models are important building blocks of this strategy which has emerged during the last years. The majority of these models are organotypic, i.e., they aim to reproduce major functions of an organ or organ system. This implies in many cases that more than one cell type forms the 3D structure, and often matrix elements play an important role. This review summarizes the state of the art concerning commonalities of the different models. For instance, the theory of mass transport/metabolite exchange in 3D systems and the special analytical requirements for test endpoints in organotypic cultures are discussed in detail. In the next part, 3D model systems for selected organs--liver, lung, skin, brain--are presented and characterized in dedicated chapters. Also, 3D approaches to the modeling of tumors are presented and discussed. All chapters give a historical background, illustrate the large variety of approaches, and highlight up- and downsides as well as specific requirements. Moreover, they refer to the application in disease modeling, drug discovery and safety assessment. Finally, consensus recommendations indicate a roadmap for the successful implementation of 3D models in routine screening. It is expected that the use of such models will accelerate progress by reducing error rates and wrong predictions from compound testing.

Indexed as

Lab-On-A-Chip DevicesAnimalsAnimal Testing AlternativesBiological AssayCell Culture TechniquesModels, Biological

Identifiers

PMID25027500
PMCPMC4783151

What OpenQuestion holds

Textmetadata
LicenceTDM
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.