Evidence map›Paper›PMID 42577478›Full record

ReviewBioengineering & translational medicine2026

Cardiac microphysiological systems in cardiovascular research: Construction paradigms, maturation trajectories, and translational frontiers.

Rongfang Xie, Haiyang Zhao, Yuqing Lei, Xinrui Wang

Abstract readReview
In one paragraph

Review in Bioengineering & translational medicine, 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

4 authors.

Rongfang XieMedical Research Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University Fuzhou China.ORCID https://orcid.org/0000-0001-8922-2766
Haiyang ZhaoSchool of Medicine, Fuzhou University Fuzhou China.ORCID https://orcid.org/0009-0005-0553-3994
Yuqing LeiMedical Research Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University Fuzhou China.ORCID https://orcid.org/0000-0002-9445-1157
Xinrui WangMedical Research Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University Fuzhou China.ORCID https://orcid.org/0000-0002-7383-9128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases remain the leading cause of global mortality, yet traditional preclinical models fail to accurately capture the physiological and genetic complexity of the human heart, hindering the development of targeted therapies. Cardiac microphysiological systems (cardiac MPS), including self-organizing human cardiac organoids and engineered cardiac tissue models, have emerged as promising human-relevant platforms for recapitulating selected aspects of cardiac development, tissue organization, and function. This review evaluates current strategies for the construction of these cardiac microphysiological systems through a systematic comparison of two major approaches: development-driven self-organization based on intrinsic stem-cell programs, and engineering-driven assembly supported by bioactive materials, 3D bioprinting, and microfluidic technologies. To address key bottlenecks limiting translational utility, we outline a multidimensional maturity assessment framework encompassing sarcomeric ultrastructural organization, the fidelity of electromechanical coupling, and metabolic reprogramming toward fatty acid β-oxidation. Furthermore, we discuss the translational applications of cardiac microphysiological systems in elucidating early cardiogenesis, modeling complex genetic and ischemic cardiovascular diseases, and enabling high-throughput cardiotoxicity screening. Despite persistent challenges in building perfusable multi-scale vascular networks, reducing batch-to-batch variability, and modeling multi-organ crosstalk, the integration of cardiac microphysiological systems with spatial multi-omics, next-generation biomaterials, and artificial intelligence-assisted culture systems may enhance their translational relevance, provided that these approaches are supported by rigorous benchmarking and cross-laboratory validation.

Indexed as

cardiac microphysiological systemscardiac organoidsdisease modelingengineered cardiac tissue modelsmaturation assessment

Identifiers

PMID42577478
PMCPMC13454416

What OpenQuestion holds

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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.