Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models
The focus of this review is the application of advanced MRI to study the effect of aging and disuse related remodeling of the extracellular matrix (ECM) on force transmission in the human musculoskeletal system. Structural MRI includes (i) ultra-low echo times (UTE) maps to visualize and quantify th...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-06-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fphys.2020.00626/full |
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| author | Usha Sinha Vadim Malis Jiun-Shyan Chen Robert Csapo Ryuta Kinugasa Ryuta Kinugasa Marco Vincenzo Narici Shantanu Sinha |
| author_facet | Usha Sinha Vadim Malis Jiun-Shyan Chen Robert Csapo Ryuta Kinugasa Ryuta Kinugasa Marco Vincenzo Narici Shantanu Sinha |
| author_sort | Usha Sinha |
| collection | DOAJ |
| description | The focus of this review is the application of advanced MRI to study the effect of aging and disuse related remodeling of the extracellular matrix (ECM) on force transmission in the human musculoskeletal system. Structural MRI includes (i) ultra-low echo times (UTE) maps to visualize and quantify the connective tissue, (ii) diffusion tensor imaging (DTI) modeling to estimate changes in muscle and ECM microstructure, and (iii) magnetization transfer contrast imaging to quantify the macromolecular fraction in muscle. Functional MRI includes dynamic acquisitions during contraction cycles enabling computation of the strain tensor to monitor muscle deformation. Further, shear strain extracted from the strain tensor may be a potential surrogate marker of lateral transmission of force. Biochemical and histological analysis of muscle biopsy samples can provide “gold-standard” validation of some of the MR findings. The review summarizes biochemical studies of ECM adaptations with age and with disuse. A brief summary of animal models is included as they provide experimental confirmation of longitudinal and lateral force transmission pathways. Computational muscle models enable exploration of force generation and force pathways and elucidate the link between structural adaptations and functional consequences. MR image findings integrated in a computational model can explain and predict subject specific functional changes to structural adaptations. Future work includes development and validation of MRI biomarkers using biochemical analysis of muscle tissue as a reference standard and potential translation of the imaging markers to the clinic to noninvasively monitor musculoskeletal disease conditions and changes consequent to rehabilitative interventions. |
| first_indexed | 2024-12-14T12:46:13Z |
| format | Article |
| id | doaj.art-7a441c748730422eba47e8e2a64299d5 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-12-14T12:46:13Z |
| publishDate | 2020-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-7a441c748730422eba47e8e2a64299d52022-12-21T23:00:47ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2020-06-011110.3389/fphys.2020.00626529329Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational ModelsUsha Sinha0Vadim Malis1Jiun-Shyan Chen2Robert Csapo3Ryuta Kinugasa4Ryuta Kinugasa5Marco Vincenzo Narici6Shantanu Sinha7Department of Physics, San Diego State University, San Diego, CA, United StatesDepartment of Physics, University of California, San Diego, San Diego, CA, United StatesDepartment of Structural Engineering, University of California, San Diego, San Diego, CA, United StatesResearch Unit for Orthopaediic Sports Medicine and Injury Prevention, ISAG, Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, AustriaDepartment of Human Sciences, Kanagawa University, Yokohama, JapanComputational Engineering Applications Unit, Advanced Center for Computing and Communication, RIKEN, Saitama, JapanInstitute of Physiology, Department of Biomedical Sciences, University of Padua, Padua, ItalyDepartment of Radiology, University of California, San Diego, San Diego, CA, United StatesThe focus of this review is the application of advanced MRI to study the effect of aging and disuse related remodeling of the extracellular matrix (ECM) on force transmission in the human musculoskeletal system. Structural MRI includes (i) ultra-low echo times (UTE) maps to visualize and quantify the connective tissue, (ii) diffusion tensor imaging (DTI) modeling to estimate changes in muscle and ECM microstructure, and (iii) magnetization transfer contrast imaging to quantify the macromolecular fraction in muscle. Functional MRI includes dynamic acquisitions during contraction cycles enabling computation of the strain tensor to monitor muscle deformation. Further, shear strain extracted from the strain tensor may be a potential surrogate marker of lateral transmission of force. Biochemical and histological analysis of muscle biopsy samples can provide “gold-standard” validation of some of the MR findings. The review summarizes biochemical studies of ECM adaptations with age and with disuse. A brief summary of animal models is included as they provide experimental confirmation of longitudinal and lateral force transmission pathways. Computational muscle models enable exploration of force generation and force pathways and elucidate the link between structural adaptations and functional consequences. MR image findings integrated in a computational model can explain and predict subject specific functional changes to structural adaptations. Future work includes development and validation of MRI biomarkers using biochemical analysis of muscle tissue as a reference standard and potential translation of the imaging markers to the clinic to noninvasively monitor musculoskeletal disease conditions and changes consequent to rehabilitative interventions.https://www.frontiersin.org/article/10.3389/fphys.2020.00626/fullextracellular matrixage and disuse related muscle force lossstructural muscle MRIstrain imaginglateral transmission of force |
| spellingShingle | Usha Sinha Vadim Malis Jiun-Shyan Chen Robert Csapo Ryuta Kinugasa Ryuta Kinugasa Marco Vincenzo Narici Shantanu Sinha Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models Frontiers in Physiology extracellular matrix age and disuse related muscle force loss structural muscle MRI strain imaging lateral transmission of force |
| title | Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models |
| title_full | Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models |
| title_fullStr | Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models |
| title_full_unstemmed | Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models |
| title_short | Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models |
| title_sort | role of the extracellular matrix in loss of muscle force with age and unloading using magnetic resonance imaging biochemical analysis and computational models |
| topic | extracellular matrix age and disuse related muscle force loss structural muscle MRI strain imaging lateral transmission of force |
| url | https://www.frontiersin.org/article/10.3389/fphys.2020.00626/full |
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