Evidence map›Paper›PMID 42493487›Full record

ReviewMicrosystems & nanoengineering2026

Engineering etiology-aligned in vitro models of human vessels.

Qi Li, Jiaxin Lin, Wenyu Zou, Jiangfeng You, Shuyuan Yu, Ziqi Gao, Huilong Du, Xinyi Shen, Jun Yin, Huayong Yang and 2 more

Abstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Qi LiSchool of Engineering, Hangzhou Normal University, Hangzhou, 311121, People's Republic of China. lqhznu@hznu.edu.cn.
Jiaxin LinSchool of Engineering, Hangzhou Normal University, Hangzhou, 311121, People's Republic of China.
Wenyu ZouSchool of Engineering, Hangzhou Normal University, Hangzhou, 311121, People's Republic of China.
Jiangfeng YouSchool of Engineering, Hangzhou Normal University, Hangzhou, 311121, People's Republic of China.
Shuyuan YuState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Ziqi GaoState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Huilong DuState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Xinyi ShenState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Jun YinState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Huayong YangState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Luqi ShenWomen's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, People's Republic of China. shenluqi@westlake.edu.cn.
Hongzhao ZhouState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China. hz_zhou@zju.edu.cn.ORCID http://orcid.org/0000-0001-7377-0741

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52405305National Natural Science Foundation of China (National Science Foundation of China) 82504400National Natural Science Foundation of China (National Science Foundation of China) U25D9019Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LQ24H260006
6 · The paper itself

Abstract

Vascular diseases remain a major global health burden, yet traditional animal models often fail to capture the human-specific mechanisms that drive disease progression. Recent policy shifts, including the FDA Modernization Act and the NIH's transition away from animal-only studies, have intensified the need for human-relevant vascular platforms. This review introduces an etiology-to-model framework that maps six principal classes of vascular disease, including congenital, metabolic, neoplastic, inflammatory, degenerative, and risk factor-induced, to the in vitro systems best equipped to reproduce their defining microenvironmental disturbances. We evaluate how 2D assays, organoids, organ-on-chip platforms, tissue-engineered grafts, and bioprinted vessels each recapitulate distinct structural, cellular, and hemodynamic features of human pathology. We argue that the central challenge is no longer the lack of advanced tools, but the need to validate models against disease-specific benchmarks and integrate biological complexity without compromising reproducibility. By embedding disease etiology into model design, this framework provides a foundation for developing predictive vascular platforms that accelerate mechanistic insight and support precision therapy development.

Identifiers

PMID42493487
PMCPMC13396393

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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.