Award Abstract # 2301653
ERI: A Computational and Experimental Approach to Establishing Multiscale and Multiphasic Structure-Function Mechanisms of Muscle Stiffness

NSF Org: CMMI
Div Of Civil, Mechanical, & Manufact Inn
Recipient: BUCKNELL UNIVERSITY
Initial Amendment Date: May 17, 2023
Latest Amendment Date: March 18, 2024
Award Number: 2301653
Award Instrument: Standard Grant
Program Manager: Wendy C. Crone
wcrone@nsf.gov
 (703)292-0000
CMMI
 Div Of Civil, Mechanical, & Manufact Inn
ENG
 Directorate For Engineering
Start Date: June 1, 2023
End Date: May 31, 2025 (Estimated)
Total Intended Award Amount: $200,000.00
Total Awarded Amount to Date: $216,000.00
Funds Obligated to Date: FY 2023 = $200,000.00
FY 2024 = $16,000.00
History of Investigator:
  • Benjamin Wheatley (Principal Investigator)
    b.wheatley@bucknell.edu
Recipient Sponsored Research Office: Bucknell University
1 DENT DR
LEWISBURG
PA  US  17837-2005
(570)577-3510
Sponsor Congressional District: 15
Primary Place of Performance: Bucknell University
ONE DENT DR
LEWISBURG
PA  US  17837-2005
Primary Place of Performance
Congressional District:
15
Unique Entity Identifier (UEI): LT7CLFEE1ZW4
Parent UEI:
NSF Program(s): ERI-Eng. Research Initiation,
BMMB-Biomech & Mechanobiology
Primary Program Source: 01002425DB NSF RESEARCH & RELATED ACTIVIT
01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 028E, 070Z, 116E, 9178, 9179, 9231, 9251, 9264
Program Element Code(s): 180y00, 747900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

This Engineering Research Initiation (ERI) award supports research that will create a model of muscle behavior at multiple scales. Muscle is responsible for providing the power that is necessary to live our daily lives ? walking, communicating, and breathing are all possible thanks to skeletal muscle. However, muscle injury, neuromuscular disease, and other impairments can reduce a person?s mobility and cause significant pain because the muscles are too stiff. This project is to investigate how the stiffness and biology of healthy muscle is different from that of impaired muscle. In particular, it is currently unknown how molecules that compose skeletal muscle contribute to the mechanical properties, particularly to muscle stiffness. The project will investigate how three key parts of skeletal muscle contribute to muscle stiffness ? a) muscle cells, b) a web-like tissue called the extracellular matrix, and c) the cellular liquids in muscle. The research team will use experimental testing complemented by computer models to generate data. This data will help scientists and clinicians better to understand what specific mechanisms of a disease change muscle stiffness. The results will contribute to improving treatments for people who suffer from such muscle conditions. This grant also will support educational outreach to mentor a diverse group of undergraduate student researchers and support their professional development in careers in the sciences.

This work will establish critical structure-function mechanisms in passive skeletal muscle by leveraging multiscale materials testing and finite element analysis. While changes to muscle stiffness from impairments correlate to measurements such as collagen content and type, predicting the hyperelastic, anisotropic material properties of muscle in vivo is not possible. The research team will perform multi-axial materials testing on individual muscle fibers, muscle tissue, and whole muscle under both tensile and compressive conditions. These experimental data will comprise the most comprehensive set of muscle material properties collected to date and will be used for the calibration and validation of a multiscale, biphasic, homogenized finite element model of muscle tissue that links microstructural form to macro function. This model can then be used in future efforts to study how microstructural changes to muscle tissue alter muscle material properties and thus in vivo function.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Please report errors in award information by writing to: awardsearch@nsf.gov.

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