Evidence map›Paper›PMID 40353137›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2024

Advances in the Model Structure of In Vitro Vascularized Organ-on-a-Chip.

Hongze Yin, Yue Wang, Na Liu, Songyi Zhong, Long Li, Quan Zhang, Zeyang Liu, Tao Yue

Abstract read
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  13. Design strategy primer for organ-on-chips.Biomaterials translational · 2025
    Article
  14. Article
  15. 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

8 authors.

Hongze YinSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Yue WangSchool of Future Technology, Shanghai University, Shanghai, China.
Na LiuSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Songyi ZhongSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Long LiSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Quan ZhangSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Zeyang LiuDepartment of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095, USA.
Tao YueSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.ORCID https://orcid.org/0000-0001-8321-1898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microvasculature plays a crucial role in human physiology and is closely related to various human diseases. Building in vitro vascular networks is essential for studying vascular tissue behavior with repeatable morphology and signaling conditions. Engineered 3D microvascular network models, developed through advanced microfluidic-based techniques, provide accurate and reproducible platforms for studying the microvasculature in vitro, an essential component for designing organ-on-chips to achieve greater biological relevance. By optimizing the microstructure of microfluidic devices to closely mimic the in vivo microenvironment, organ-specific models with healthy and pathological microvascular tissues can be created. This review summarizes recent advancements in in vitro strategies for constructing microvascular tissue and microfluidic devices. It discusses the static vascularization chips' classification, structural characteristics, and the various techniques used to build them: growing blood vessels on chips can be either static or dynamic, and in vitro blood vessels can be grown in microchannels, elastic membranes, and hydrogels. Finally, the paper discusses the application scenarios and key technical issues of existing vascularization chips. It also explores the potential for a novel organoid chip vascularization approach that combines organoids and organ chips to generate better vascularization chips.

Identifiers

PMID40353137
PMCPMC12063728

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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.