Year: 2020
Type: review
Abstract: Extensive damage to skeletal muscle tissue due to volumetric muscle loss (VML) is beyond the inherent regenerative capacity of the body, and results in permanent functional debilitation. Current clinical treatments fail to fully restore native muscle function. Recently, cell-based therapies have emerged as a promising approach to promote skeletal muscle regeneration following injury and/or disease. Stem cell populations, such as muscle stem cells, mesenchymal stem cells and induced pluripotent stem cells (iPSCs), have shown a promising capacity for muscle differentiation. Support cells, such as endothelial cells, nerve cells or immune cells, play a pivotal role in providing paracrine signaling cues for myogenesis, along with modulating the processes of inflammation, angiogenesis and innervation. The efficacy of cell therapies relies on the provision of instructive microenvironmental cues and appropriate intercellular interactions. This review describes the recent developments of cell-based therapies for the treatment of VML, with a focus on preclinical testing and future trends in the field.
Source: Bioengineering
Authors: Mahdis Shayan, Ngan F. Huang
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,056
Funders: National Science Foundation, U.S. Department of Veterans Affairs, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Aligned Nanofibrillar Scaffolds Enhance Angiogenesis and Viability in Ischemia, Engineered matrix microarrays to enhance the regenerative potential of iPSC-derived endothelial cells, G4586000846, G5160892468, G5792377579, ISS: Tissue Engineered Muscle in Microgravity as a Novel Platform to Study Sarcopenia, Alliance for Regenerative Rehabilitation Research & Training 2.0 (AR3T)
OpenAlex ID: W3075315676