ArticleProgress in biomaterials2020
Hydrogel scaffolds with elasticity-mimicking embryonic substrates promote cardiac cellular network formation.
Article in Progress in biomaterials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Multifunctional biomaterial platforms for blocking the fibrosis process and promoting cellular restoring effects in myocardial fibrosis therapy.Frontiers in bioengineering and biotechnology · 2022Pooled it
- Stem cell-based cartilage regeneration: Biological strategies, engineering innovations, and clinical translation.World journal of stem cells · 2025Review
- Revisiting the biophysical aspects of extracellular-matrix-mimicking hydrogels: what cells seeBiomaterials science · 2025Review
- Mimicking scaffold membrane based electrospun polyurethane fibers with functional extracellular-like component coating for guided bone regeneration scaffolds.Biomaterials and biosystems · 2025Article
- Innovations in collagen-network remodeling and extracellular matrix mechanics: toward a new era in articular cartilage repair.Frontiers in bioengineering and biotechnology · 2025Review
- The Utilisation of Hydrogels for iPSC-Cardiomyocyte Research.International journal of molecular sciences · 2023Review
- Demonstration of doxorubicin's cardiotoxicity and screening using a 3D bioprinted spheroidal droplet-based system.RSC advances · 2023Article
- Engineering approaches for cardiac organoid formation and their characterization.Translational research : the journal of laboratory and clinical medicine · 2022Review
- Development of an extrusion-based 3D-printing strategy for clustering of human neural progenitor cells.Heliyon · 2022Article
- 3D Biofabrication of a Cardiac Tissue Construct for Sustained Longevity and Function.ACS applied materials & interfaces · 2022Article
- Frozen bean curd-inspired xenogeneic acellular dermal matrix with triple pretreatment approach of freeze-thaw, laser drilling and ADSCs pre-culture for promoting early vascularization and integration.Regenerative biomaterials · 2022Article
- 3D Bioprinted Spheroidal Droplets for Engineering the Heterocellular Coupling between Cardiomyocytes and Cardiac Fibroblasts.Cyborg and bionic systems (Washington, D.C.) · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
Hydrogels are a class of biomaterials used for a wide range of biomedical applications, including as a three-dimensional (3D) scaffold for cell culture that mimics the extracellular matrix (ECM) of native tissues. To understand the role of the ECM in the modulation of cardiac cell function, alginate was used to fabricate crosslinked gels with stiffness values that resembled embryonic (2.66 ± 0.84 kPa), physiologic (8.98 ± 1.29 kPa) and fibrotic (18.27 ± 3.17 kPa) cardiac tissues. The average pore diameter and hydrogel swelling were seen to decrease with increasing substrate stiffness. Cardiomyocytes cultured within soft embryonic gels demonstrated enhanced cell spreading, elongation, and network formation, while a progressive increase in gel stiffness diminished these behaviors. Cell viability decreased with increasing hydrogel stiffness. Furthermore, cells in fibrotic gels showed enhanced protein expression of the characteristic cardiac stress biomarker, Troponin-I, while reduced protein expression of the cardiac gap junction protein, Connexin-43, in comparison to cells within embryonic gels. The results from this study demonstrate the role that 3D substrate stiffness has on cardiac tissue formation and its implications in the development of complex matrix remodeling-based conditions, such as myocardial fibrosis.
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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.