ArticlePolymers2021
Incorporation of Elastin to Improve Polycaprolactone-Based Scaffolds for Skeletal Muscle via Electrospinning.
Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Biomimetic Scaffolds and Extracellular Matrix-Based Strategies for Myofiber Regeneration in Volumetric Muscle Loss.Drug design, development and therapy · 2026Review
- Recent advances in extracellular matrix-inspired nanocarriers.Expert opinion on drug delivery · 2025Review
- Advancements in skeletal muscle tissue engineering: strategies for repair and regeneration of skeletal muscle beyond self-repair.Regenerative biomaterials · 2025Review
- Photocrosslinkable Biomaterials for 3D Bioprinting: Mechanisms, Recent Advances, and Future Prospects.International journal of molecular sciences · 2024Review
- Mechanical Stimulation and Aligned Poly(ε-caprolactone)-Gelatin Electrospun Scaffolds Promote Skeletal Muscle Regeneration.ACS applied bio materials · 2024Article
- Investigation of osteogenesis and angiogenesis in perfusion bioreactors using improved multi-layer PCL-nHA-nZnO electrospun scaffolds.Biotechnology letters · 2023Article
- Functionalised Hybrid Collagen-Elastin for Acellular Cutaneous Substitute Applications.Polymers · 2023Article
- Bioactive cellulose acetate nanofiber loaded with annatto support skeletal muscle cell attachment and proliferation.Frontiers in bioengineering and biotechnology · 2023Article
- Evaluation of Magnesium-Phosphate Particle Incorporation into Co-Electrospun Chitosan-Elastin Membranes for Skin Wound Healing.Marine drugs · 2022Article
- Tissue Engineering Strategies for Peripheral Nerve Regeneration.Frontiers in neurology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Skeletal muscle regeneration is increasingly necessary, which is reflected in the increasing number of studies that are focused on improving the scaffolds used for such regeneration, as well as the incubation protocol. The main objective of this work was to improve the characteristics of polycaprolactone (PCL) scaffolds by incorporating elastin to achieve better cell proliferation and biocompatibility. In addition, two cell incubation protocols (with and without dynamic mechanical stimulation) were evaluated to improve the activity and functionality yields of the regenerated cells. The results indicate that the incorporation of elastin generates aligned and more hydrophilic scaffolds with smaller fiber size. In addition, the mechanical properties of the resulting scaffolds make them adequate for use in both bioreactors and patients. All these characteristics increase the biocompatibility of these systems, generating a better interconnection with the tissue. However, due to the low maturation achieved in biological tests, no differences could be found between the incubation with and without dynamic mechanical stimulation.
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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.