ArticleRegenerative engineering and translational medicine2019
Skeletal Muscle Regenerative Engineering.
Article in Regenerative engineering and translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Nanofiber Technology for Regenerative Engineering.ACS nano · 2020Pooled it
- Mechanisms of Impaired Skeletal Muscle Regeneration and Therapeutic Approaches in Aging and Chronic Disease.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Recent advances in electroactive biomaterials and electrical stimulation for skeletal muscle regeneration: materials, strategies, and mechanistic insights.Materials today. Bio · 2026Review
- Bioinspired hydrogel-based regenerative engineering strategies for the structural and functional regeneration of skeletal muscles following volumetric muscle loss.Regenerative biomaterials · 2026Review
- Osteoinductive low-dose 3D porous calcium phosphate graphene oxide-integrated matrices enhance osteogenesis and mechanical properties.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A novel protocol for the direct isolation of a highly pure and regenerative population of satellite stem cells.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Decellularized Extracellular Matrix-Derived Hydrogels: a Powerful Class of Biomaterials for Skeletal Muscle Regenerative Engineering Applications.Regenerative engineering and translational medicine · 2025Article
- Magnesium phosphate functionalized graphene oxide and PLGA composite matrices with enhanced mechanical and osteogenic properties for bone regeneration.Regenerative biomaterials · 2025Article
- Skeletal Muscle Tissue Engineering: From Tissue Regeneration to Biorobotics.Cyborg and bionic systems (Washington, D.C.) · 2025Review
- The Use of High-Concentration Collagen-Based Composition and Gelatin Granules as Bioinks for Extrusion 3D Bioprinting of Porous-Structured Hydrogel Constructs.Sovremennye tekhnologii v meditsine · 2025Article
- Review
- Wearable and Implantable Soft Robots.Chemical reviews · 2024Review
- Biomaterials for extrusion-based bioprinting and biomedical applications.Frontiers in bioengineering and biotechnology · 2024Review
- Progress in bioprinting technology for tissue regeneration.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2023Review
- Global hotspots and emerging trends in 3D bioprinting research.Frontiers in bioengineering and biotechnology · 2023Article
- Organ-Specific Differentiation of Human Adipose-Derived Stem Cells in Various Organs of Xenotransplanted Rats: A Pilot Study.Life (Basel, Switzerland) · 2022Article
- Unraveling Muscle Impairment Associated With COVID-19 and the Role of 3D Culture in Its Investigation.Frontiers in nutrition · 2022Review
- Kinetic degradation and biocompatibility evaluation of polycaprolactone-based biologics delivery matrices for regenerative engineering of the rotator cuff.Journal of biomedical materials research. Part A · 2021Article
- Control of mesenchymal cell fate via application of FGF-8b in vitro.Stem cell research · 2021Article
- Graphene-Based Biomaterials for Bone Regenerative Engineering: A Comprehensive Review of the Field and Considerations Regarding Biocompatibility and Biodegradation.Advanced healthcare materials · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Skeletal muscles have the intrinsic ability to regenerate after minor injury, but under certain circumstances such as severe trauma from accidents, chronic diseases or battlefield injuries the regeneration process is limited. Skeletal muscle regenerative engineering has emerged as a promising approach to address this clinical issue. The regenerative engineering approach involves the convergence of advanced materials science, stem cell science, physical forces, insights from developmental biology, and clinical translation. This article reviews recent studies showing the potential of the convergences of technologies involving biomaterials, stem cells and bioactive factors in concert with clinical translation, in promoting skeletal muscle regeneration. Several types of biomaterials such as electrospun nanofibers, hydrogels, patterned scaffolds, decellularized tissues, and conductive matrices are being investigated. Detailed discussions are given on how these biomaterials can interact with cells and modulate their behavior through physical, chemical and mechanical cues. In addition, the application of physical forces such as mechanical and electrical stimulation are reviewed as strategies that can further enhance muscle contractility and functionality. The review also discusses established animal models to evaluate regeneration in two clinically relevant muscle injuries; volumetric muscle loss (VML) and muscle atrophy upon rotator cuff injury. Regenerative engineering approaches using advanced biomaterials, cells, and physical forces, developmental cues along with insights from immunology, genetics and other aspects of clinical translation hold significant potential to develop promising strategies to support skeletal muscle regeneration.
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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.