ReviewJournal of thoracic disease2018
Interfacial tissue engineering of heart regenerative medicine based on soft cell-porous scaffolds.
Review in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- In Vitro Modulation of Spontaneous Activity in Embryonic Cardiomyocytes Cultured on Poly(vinyl alcohol)/Bioglass Type 58S Electrospun Scaffolds.Nanomaterials (Basel, Switzerland) · 2024Article
- Characterization of decellularized left and right ventricular myocardial matrix hydrogels and their effects on cardiac progenitor cells.Journal of molecular and cellular cardiology · 2022Article
- An Electroconductive, Thermosensitive, and Injectable Chitosan/Pluronic/Gold-Decorated Cellulose Nanofiber Hydrogel as an Efficient Carrier for Regeneration of Cardiac Tissue.Materials (Basel, Switzerland) · 2022Article
- Glycan characteristics of human heart constituent cells maintaining organ function: relatively stable glycan profiles in cellular senescence.Biogerontology · 2021Article
- Human iPSCs and Genome Editing Technologies for Precision Cardiovascular Tissue Engineering.Frontiers in cell and developmental biology · 2021Review
- miR-199a Overexpression Enhances the Potency of Human Induced-Pluripotent Stem-Cell-Derived Cardiomyocytes for Myocardial Repair.Frontiers in pharmacology · 2021Article
- Scaffolds and Extracellular Vesicles as a Promising Approach for Cardiac Regeneration after Myocardial Infarction.Pharmaceutics · 2020Review
- Three-year clinical outcomes of a sirolimus-eluting bioresorbable scaffold (XINSORB) and a metallic stent to treat coronary artery stenosis.Annals of translational medicine · 2020Article
- Toward Cardiac Regeneration: Combination of Pluripotent Stem Cell-Based Therapies and Bioengineering Strategies.Frontiers in bioengineering and biotechnology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Myocardial infarction (MI), occurs when the coronary artery is occluded resulting in the hypoxia of areas in heart tissue, is increasing in recent years because of the population ageing and lifestyle changes. Currently, there is no ideal therapeutic scheme because of the limitation of MI therapeutic strategies due to the lack of regenerative ability of the heart cells in adult humans. Recent advances in tissue engineering and regenerative medicine brings hope to the MI therapy and current studies are focusing on restoring the function and structure of damaged tissue by delivering exogenous cells or stimulating endogenous heart cells. However, attempts to directly inject stem cells or cardiomyocytes to the infract zone often lead to rapid cell death and abundant cell loss. To address this challenge, various soft repair cells and porous scaffold materials have been integrated to improve cell retention and engraftment and preventing left ventricle (LV) dilatation. In this article, we will review the current method for heart regeneration based on soft cell-porous scaffold interfacial tissue engineering including common stem cell types, biomaterials, and cardiac patch and will discuss potential future directions in this area.
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Registered trials
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.