Evidence map›Paper›PMID 32050989›Full record

ReviewBiomedical engineering online2020

Organ-on-a-chip: recent breakthroughs and future prospects.

Qirui Wu, Jinfeng Liu, Xiaohong Wang, Lingyan Feng, Jinbo Wu, Xiaoli Zhu, Weijia Wen, Xiuqing Gong

Open access · goldAbstract readReview
In one paragraph

Review in Biomedical engineering online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 295 papers.

0numbers the graph read from it
0cells of the map it votes in
295citing papers in PubMed
37.3field-weighted citation impact, top 1% of its field
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

295 citing papers in PubMed, 683 citations in OpenAlex.

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235 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

8 authors at 1 institution in 1 country.

Qirui WuMaterials Genome Institute, Shanghai University, Shanghai, 200444, China.
Jinfeng LiuMaterials Genome Institute, Shanghai University, Shanghai, 200444, China.
Xiaohong WangMaterials Genome Institute, Shanghai University, Shanghai, 200444, China.
Lingyan FengMaterials Genome Institute, Shanghai University, Shanghai, 200444, China.
Jinbo WuMaterials Genome Institute, Shanghai University, Shanghai, 200444, China.
Xiaoli ZhuSchool of Life Sciences, Shanghai University, Shanghai, 200444, China.
Weijia WenMaterials Genome Institute, Shanghai University, Shanghai, 200444, China.
Xiuqing GongMaterials Genome Institute, Shanghai University, Shanghai, 200444, China. gongxiuqing@shu.edu.cn.ORCID http://orcid.org/0000-0001-8519-1317
Shanghai University · CN

Funding

National Natural Science Foundation of China 21775101Shanghai Pujiang Program 17PJ1402800
6 · The paper itself

Abstract

The organ-on-a-chip (OOAC) is in the list of top 10 emerging technologies and refers to a physiological organ biomimetic system built on a microfluidic chip. Through a combination of cell biology, engineering, and biomaterial technology, the microenvironment of the chip simulates that of the organ in terms of tissue interfaces and mechanical stimulation. This reflects the structural and functional characteristics of human tissue and can predict response to an array of stimuli including drug responses and environmental effects. OOAC has broad applications in precision medicine and biological defense strategies. Here, we introduce the concepts of OOAC and review its application to the construction of physiological models, drug development, and toxicology from the perspective of different organs. We further discuss existing challenges and provide future perspectives for its application.

Indexed as

Lab-On-A-Chip DevicesAnimalsBiomimeticsHumansHuman organsMicrofluidic chipOrgan-on-a-chipPhysiological modelStem cell

Identifiers

PMID32050989
PMCPMC7017614
OpenAlexW3007262342

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.