Evidence map›Paper›PMID 42614782›Full record

ArticleRegenerative biomaterials2026

Biomimetic oriented nanofiber-reinforced conductive cardiac patch for enhanced cardiac repair after myocardial infarction.

Zheng Cao, Dong He, Linjie Zhong, Xiangyu Yu, Shuming Liu, Jiale Zhang, Xiaoling Fu, Yingjun Wang

Abstract read
In one paragraph

Article in Regenerative biomaterials, 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

8 authors.

Zheng CaoSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China.
Dong HeSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China.
Linjie ZhongSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou 510006, China.
Xiangyu YuSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou 510006, China.
Shuming LiuSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China.
Jiale ZhangSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China.ORCID https://orcid.org/0009-0000-1191-6151
Xiaoling FuSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China.
Yingjun WangSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The myocardium is a highly organized, multilayered anisotropic tissue in which the extracellular matrix (ECM) provides structural guidance for cardiomyocyte alignment, enabling synchronized contraction and efficient electrical conduction. Following myocardial infarction (MI), however, this intricate architecture and electrical integrity are severely disrupted, leading to impaired cardiac function and limited self-repair capacity. Consequently, engineering bio-inspired, multi-strata electroactive scaffolds capable of mimicking the essential architectural and physiological properties of natural heart tissue represents a vital strategy for successful cardiac repair. In this study, we constructed a biomimetic oriented nanofiber-reinforced conductive cardiac patch by integrating dopamine-polypyrrole (DA-PPy) with a GelMa hydrogel matrix.

Indexed as

cardiac patchconductive hydrogeldopaminemyocardial infarctionPPy

Identifiers

PMID42614782
PMCPMC13484876

What OpenQuestion holds

Textmetadata
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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.