Evidence map›Paper›PMID 30769788›Full record

ReviewMolecules (Basel, Switzerland)2019

Multi-Organs-on-Chips: Towards Long-Term Biomedical Investigations.

Yi Zhao, Ranjith Kumar Kankala, Shi-Bin Wang, Ai-Zheng Chen

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Review
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  6. Advances in microfluidic chip technology for cell analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Review
  7. Review
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  12. Review
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  14. Article
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  16. The Therapeutic Potential of Four Main Compounds ofPharmaceuticals (Basel, Switzerland) · 2024
    Article
  17. Review
  18. Article
  19. Review
  20. Review

1 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

4 authors.

Yi ZhaoInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen 361021, China. 1526221050@hqu.edu.cn.
Ranjith Kumar KankalaInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen 361021, China. ranjithkankala@hqu.edu.cn.ORCID 0000-0003-4081-9179
Shi-Bin WangInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen 361021, China. sbwang@hqu.edu.cn.
Ai-Zheng ChenInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen 361021, China. azchen@hqu.edu.cn.ORCID 0000-0002-5840-3406

Funding

National Natural Science Foundation of China U1605225, 31570974 and 31800794Program for Innovative Research Team in Science and Technology in Fujian Province University NA
6 · The paper itself

Abstract

With advantageous features such as minimizing the cost, time, and sample size requirements, organ-on-a-chip (OOC) systems have garnered enormous interest from researchers for their ability for real-time monitoring of physical parameters by mimicking the in vivo microenvironment and the precise responses of xenobiotics, i.e., drug efficacy and toxicity over conventional two-dimensional (2D) and three-dimensional (3D) cell cultures, as well as animal models. Recent advancements of OOC systems have evidenced the fabrication of 'multi-organ-on-chip' (MOC) models, which connect separated organ chambers together to resemble an ideal pharmacokinetic and pharmacodynamic (PK-PD) model for monitoring the complex interactions between multiple organs and the resultant dynamic responses of multiple organs to pharmaceutical compounds. Numerous varieties of MOC systems have been proposed, mainly focusing on the construction of these multi-organ models, while there are only few studies on how to realize continual, automated, and stable testing, which still remains a significant challenge in the development process of MOCs. Herein, this review emphasizes the recent advancements in realizing long-term testing of MOCs to promote their capability for real-time monitoring of multi-organ interactions and chronic cellular reactions more accurately and steadily over the available chip models. Efforts in this field are still ongoing for better performance in the assessment of preclinical attributes for a new chemical entity. Further, we give a brief overview on the various biomedical applications of long-term testing in MOCs, including several proposed applications and their potential utilization in the future. Finally, we summarize with perspectives.

Indexed as

Cell Culture TechniquesCellular MicroenvironmentDrug Evaluation, PreclinicalHeartHumansLab-On-A-Chip DevicesLiverModels, BiologicalOrgan Culture Techniquesbiosensorsdisease modelingdrug testinglong-term testingmicrofluidic technologymulti-organ-on-chipmultisensor-integrated systems

Identifiers

PMID30769788
PMCPMC6412790

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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.