Evidence map›Paper›PMID 41618376›Full record

ReviewCardiovascular diabetology2026

Advanced imaging strategies in cardiac organoids: bridging the gap between structural complexity and functional analysis.

Keyan Zhao, Bihua Tang, Renjun Gu, Chen Liu, Haoyu Zhang, Yang Gao, Peichen Wang, Yihuang Gu, Mingfei Shi, Ziyun Li

Abstract readReview
In one paragraph

Review in Cardiovascular diabetology, 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.

Keyan Zhao *School of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Bihua Tang *The Third Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Renjun Gu *School of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Chen LiuSchool of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Haoyu ZhangSchool of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Yang GaoSchool of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Peichen WangSchool of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Yihuang GuSchool of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, 210023, China. gyh5196411@163.com.
Mingfei ShiSchool of Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China. shimf@njucm.edu.cn.
Ziyun LiSchool of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, 210023, China. ziyunli@njucm.edu.cn.

Funding

National Natural Science Foundation of China 82505554
6 · The paper itself

Abstract

Cardiac organoids have emerged as pivotal models for cardiovascular disease research and drug development due to their ability to recapitulate the in vivo cardiac microenvironment, structure, and function. Imaging technologies are core tools for deciphering their three-dimensional (3D) complexity. This review outlines the key framework of cardiac organoid imaging research, focusing on pre-imaging sample processing, mainstream imaging technologies, image analysis workflows and applications in disease mechanisms and drug screening. We also provide guidelines for technique selection based on research objectives. Currently, long-term 4D imaging of cardiac organoids is still in its infancy. Future efforts should optimize imaging strategies and advance high-resolution dynamic techniques to deepen understanding of the temporal dynamics of cardiac pathology, providing technical support for cardiovascular research.

Indexed as

Cardiac Imaging TechniquesHeart DiseasesMyocytes, CardiacOrganoidsAnimalsHumansPredictive Value of TestsCardiac disease modelingCardiac organoidsFunctional analysisTissue clearingVolume imaging

Identifiers

PMID41618376
PMCPMC13003744

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.