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Assessing Functional Metrics of Skeletal Muscle Health in Human Skeletal Muscle Microtissues
Published on: February 18, 2021
4.8K
Quantitative, Label-Free Evaluation of Tissue-Engineered Skeletal Muscle Through Multiphoton Microscopy
Brian C Syverud1, Mary-Ann Mycek1, Lisa M Larkin1,2
11 Department of Biomedical Engineering, University of Michigan , Ann Arbor, Michigan.
Tissue Engineering. Part C, Methods
|August 17, 2017
Summary
Label-free nonlinear optical molecular imaging (OMI) noninvasively assesses engineered skeletal muscle viability and function. This novel method correlates structural integrity with force production, aiding tissue development and implantation readiness.
Area of Science:
- Biomedical Engineering
- Tissue Engineering
- Optical Imaging
Background:
- Assessing engineered tissue viability and function noninvasively is a critical challenge in tissue engineering.
- Label-free nonlinear optical molecular imaging (OMI) uses endogenous fluorescence and second harmonic generation (SHG) to evaluate metabolic activity and structural integrity.
Purpose of the Study:
- To demonstrate OMI techniques for assessing engineered skeletal muscle units (SMUs).
- To develop a novel method for evaluating SMUs prior to implantation.
Main Methods:
- Applied OMI, including nicotinamide adenine dinucleotide/flavin adenine dinucleotide fluorescence and SHG imaging, to control, steroid-supplemented, and metabolically stressed SMUs.
- Calculated redox ratio (RR) for metabolic activity and structure ratio for composition.
- Assessed function via tetanic force production and correlated OMI measures with functional outcomes.
Main Results:
- Redox ratios distinguished control from metabolically stressed SMUs.
- SHG signals differentiated control from steroid-supplemented SMUs.
- Steroid supplementation increased force generation, with a significant correlation between myosin density and force.
Conclusions:
- Label-free OMI shows potential for evaluating engineered skeletal muscle constructs noninvasively.
- OMI measures correlate with functional performance, potentially predicting post-implantation integration and regeneration.
- This methodology can aid in assessing tissue engineering technologies and confirming release criteria.

