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Mesenchymal Stem Cells for Regenerative Medicine for Duchenne Muscular Dystrophy

Ahmed Elhussieny, Kenichiro Nogami, Fusako Sakai‐Takemura, Yusuke Maruyama, AbdElraouf Omar Abdelbakey, Wael Abo El-Kheir, Shin’ichi Takeda, Yuko Miyagoe‐Suzuki

IntechOpen eBooks · 2020 · ▲ 8 citations

Abstract

Mesenchymal stem cells (MSCs) are multipotent stem cells that can be isolated from both foetal and adult tissues. Several groups demonstrated that transplantation of MSCs promoted the regeneration of skeletal muscle and ameliorated muscular dystrophy in animal models. Mesenchymal stem cells in skeletal muscle, also known as fibro-adipogenic progenitors (FAPs), are essential for the maintenance of skeletal muscle. Importantly, they contribute to fibrosis and fat accumulation in dystrophic muscle. Therefore, MSCs in muscle are a pharmacological target for the treatment of muscular dystrophies. In this chapter, we briefly update the knowledge on mesenchymal stem/progenitor cells and discuss their therapeutic potential as a regenerative medicine treatment of Duchenne muscular dystrophy.

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Provenance

Source
OpenAlex
DOI
10.5772/intechopen.92824
Canonical
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Fetched
2026-11-06 MST

Cite this

APA
Elhussieny, A., Nogami, K., Sakai‐Takemura, F., Maruyama, Y., Abdelbakey, A.O., El-Kheir, W.A., Takeda, S., &amp; Miyagoe‐Suzuki, Y. (2020). Mesenchymal Stem Cells for Regenerative Medicine for Duchenne Muscular Dystrophy. <em>IntechOpen eBooks</em>. https://doi.org/10.5772/intechopen.92824
Vancouver
Elhussieny A, Nogami K, Sakai‐Takemura F, Maruyama Y, Abdelbakey AO, El-Kheir WA, et al. Mesenchymal Stem Cells for Regenerative Medicine for Duchenne Muscular Dystrophy. IntechOpen eBooks. 2020. doi:10.5772/intechopen.92824.
BibTeX
@article{ahmed2020Mesenc, title = {Mesenchymal Stem Cells for Regenerative Medicine for Duchenne Muscular Dystrophy}, author = {Ahmed Elhussieny and Kenichiro Nogami and Fusako Sakai‐Takemura and Yusuke Maruyama and AbdElraouf Omar Abdelbakey and Wael Abo El-Kheir and Shin’ichi Takeda and Yuko Miyagoe‐Suzuki}, journal = {IntechOpen eBooks}, year = {2020}, doi = {10.5772/intechopen.92824}, }

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