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Human Tissue-Engineered Skeletal Muscle: A Tool for Metabolic Research
Ji-Hoon Kim1, Seung-Min Yu1,2, Jang Won Son3
1Center for Advanced Bio-Molecular Recognition, Korea Institute of Science and Technology, Seoul, Korea.
Endocrinology and Metabolism (Seoul, Korea)
|July 7, 2022
Summary
Skeletal muscle acts as an endocrine organ, producing myokines and exerkines that regulate energy balance. New 3D bioartificial muscle models offer a better way to study metabolic diseases and develop treatments.
Area of Science:
- Muscle physiology and metabolic disease research.
Background:
- Skeletal muscle functions as an endocrine organ, secreting myokines and exerkines that influence systemic energy homeostasis.
- Physical inactivity and altered muscle health contribute to metabolic disorders like insulin resistance, obesity, and diabetes.
- Existing in vitro models (cell lines, animal models) lack human physiological relevance for studying metabolic diseases.
Purpose of the Study:
- To review recent advancements in in vitro human skeletal muscle models.
- To highlight the development of 3D bioartificial muscle for mimicking native tissue complexity.
- To discuss the future potential of skeletal muscle organoid technology in metabolic research.
Main Methods:
- Review of studies utilizing adult myogenic progenitors and pluripotent stem cells for in vitro muscle models.
- Focus on the development and characterization of 3D bioartificial muscle constructs.
- Discussion of organoid culture technology for skeletal muscle.
Main Results:
- In vitro models derived from human cells are advancing.
- 3D bioartificial muscles show promise in mimicking native skeletal muscle maturation and function.
- These models offer improved physiological relevance compared to traditional methods.
Conclusions:
- 3D bioartificial muscle models represent a significant step towards physiologically relevant in vitro systems.
- Skeletal muscle organoid technology holds potential for advancing metabolic research.
- These models could facilitate the study of metabolic disease mechanisms and personalized therapies.

