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Leveraging Biomaterial Platforms to Study Aging-Related Neural and Muscular Degeneration.
Veronica Hidalgo-Alvarez1, Christopher M Madl1
1Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Biomolecules
|January 23, 2024
Summary
Aging causes muscle and nerve degeneration, impacting mobility and cognition. Advanced 3D biomimetic models offer new avenues for studying these aging processes and developing effective therapies.
Area of Science:
- Biomedical Engineering
- Gerontology
- Regenerative Medicine
Background:
- Aging leads to tissue function impairment, including sarcopenia (muscle loss) and neurodegeneration.
- These age-related degenerations significantly impact mobility, cognitive function, and overall quality of life in the elderly.
- Current therapeutic development is limited by a lack of understanding of aging mechanisms and inadequate models of the cellular microenvironment.
Purpose of the Study:
- To review advancements in creating 3D models for studying aging-related muscular and neuronal degeneration.
- To highlight the potential of biomimetic 3D platforms for drug testing and mechanistic investigations.
- To provide insights into future research directions in bioengineered models of aging.
Main Methods:
- Utilizing bioengineering techniques with biomimetic materials and biofabrication.
- Developing 3D tissue models that mimic the native extracellular matrix.
- Employing these advanced models for studying age-related tissue degeneration.
Main Results:
- Bioengineered 3D models show promise in recapitulating the complex microenvironment of native tissues.
- These platforms facilitate more accurate drug testing and mechanistic studies for aging-related conditions.
- Significant progress has been made in creating sophisticated models for both muscular and neuronal aging.
Conclusions:
- 3D biomimetic models represent a significant leap forward in understanding and treating age-related muscle and nerve degeneration.
- These advanced platforms are crucial for overcoming limitations of current models and accelerating therapeutic discovery.
- Future research should focus on further refining these models to better represent in vivo aging processes.

