Evidence map›Paper›PMID 41867079›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Vascularized Cardiac Tissue Engineering: From Advances in Biofabrication to Translational Applications.

Yang Liu, Zijie Zhang, Hongbin Li, Lino Prados-Martin, Huanhong Li, Feng Cheng, Xia Tu, Khoon S Lim, Wanlu Li, Mian Wang

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

10 authors.

Yang LiuShanghai Heart Failure Research Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0002-0493-5466
Zijie ZhangState Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Hongbin LiCollege of Light Industry and Textile, Qiqihar University, Qiqihar, Heilongjiang, China.ORCID https://orcid.org/0000-0001-6127-9007
Lino Prados-MartinSchool of Medical Sciences, University of Sydney, Australia.
Huanhong LiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Feng ChengSchool of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, China.
Xia TuState Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Khoon S LimSchool of Medical Sciences, University of Sydney, Australia.ORCID https://orcid.org/0000-0002-2486-196X
Wanlu LiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0000-0002-7637-1364
Mian WangState Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.

Funding

Australian Research Council DP250103558Australian Research Council FT230100249Fundamental Research Funds for the Central Universities 22120250374Institutions of Higher Learning in ShanghaiNational Key Research and Development Program of China 2022YFA1105103National Key Research and Development Program of China 2023YFA1801803National Natural Science Foundation of China 32301146National Natural Science Foundation of China 32371474National Natural Science Foundation of China 82100272New South Wales Health H22/98586Shanghai Sailing Program 23YF1420700Shanghai Science and Technology PuJiang Funds 09PJ1401500
6 · The paper itself

Abstract

The in vitro engineering of vascularized cardiac tissues holds transformative potential for disease modeling, drug screening, and regenerative therapy. However, despite rapid advances in stem cell biology, biomaterials, and biofabrication technologies, the reconstruction of functional, perfusable vasculature within engineered myocardial tissues remains a central and unresolved challenge. In this review, we move beyond a descriptive catalog of available techniques and instead present a process-oriented framework for understanding vascularized cardiac tissue engineering. By systematically analyzing how cellular components, biomaterial design, and biofabrication strategies collectively govern vascular formation, perfusion stability, and myocardial function, we examine self-assembly, mold-casting, 3D bioprinting, and microfluidic approaches, to critically evaluate their respective advantages and trade-offs under cardiac-specific physiological constraints. Finally, application prospects of vascularized cardiac tissues in disease modeling and drug testing are discussed, and current limitations and future directions are proposed to accelerate translational impact. By reframing vascularized cardiac tissue engineering as an integrated manufacturing challenge rather than a collection of isolated technologies, this review aims to provide a coherent conceptual guide for advancing functional human cardiac models.

Indexed as

HeartMyocardiumTissue EngineeringTranslational Research, BiomedicalAnimalsBiocompatible MaterialsBioprintingHumansTissue ScaffoldsBiocompatible Materialscardiac cellscardiac organoidscardiac tissue engineeringregenerative medicinevascularized cardiac tissues

Identifiers

PMID41867079
PMCPMC13104096

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.