Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sinha, Usha, Malis, Vadim, Chen, Jiun-Shyan, Csapo, Robert, Kinugasa, Ryuta, Narici, Marco Vincenzo, Sinha, Shantanu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315044/
https://www.ncbi.nlm.nih.gov/pubmed/32625114
http://dx.doi.org/10.3389/fphys.2020.00626
_version_ 1783550178250194944
author Sinha, Usha
Malis, Vadim
Chen, Jiun-Shyan
Csapo, Robert
Kinugasa, Ryuta
Narici, Marco Vincenzo
Sinha, Shantanu
author_facet Sinha, Usha
Malis, Vadim
Chen, Jiun-Shyan
Csapo, Robert
Kinugasa, Ryuta
Narici, Marco Vincenzo
Sinha, Shantanu
author_sort Sinha, Usha
collection PubMed
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.
format Online
Article
Text
id pubmed-7315044
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-73150442020-07-02 Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models Sinha, Usha Malis, Vadim Chen, Jiun-Shyan Csapo, Robert Kinugasa, Ryuta Narici, Marco Vincenzo Sinha, Shantanu Front Physiol Physiology 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. Frontiers Media S.A. 2020-06-18 /pmc/articles/PMC7315044/ /pubmed/32625114 http://dx.doi.org/10.3389/fphys.2020.00626 Text en Copyright © 2020 Sinha, Malis, Chen, Csapo, Kinugasa, Narici and Sinha. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Sinha, Usha
Malis, Vadim
Chen, Jiun-Shyan
Csapo, Robert
Kinugasa, Ryuta
Narici, Marco Vincenzo
Sinha, Shantanu
Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models
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 Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315044/
https://www.ncbi.nlm.nih.gov/pubmed/32625114
http://dx.doi.org/10.3389/fphys.2020.00626
work_keys_str_mv AT sinhausha roleoftheextracellularmatrixinlossofmuscleforcewithageandunloadingusingmagneticresonanceimagingbiochemicalanalysisandcomputationalmodels
AT malisvadim roleoftheextracellularmatrixinlossofmuscleforcewithageandunloadingusingmagneticresonanceimagingbiochemicalanalysisandcomputationalmodels
AT chenjiunshyan roleoftheextracellularmatrixinlossofmuscleforcewithageandunloadingusingmagneticresonanceimagingbiochemicalanalysisandcomputationalmodels
AT csaporobert roleoftheextracellularmatrixinlossofmuscleforcewithageandunloadingusingmagneticresonanceimagingbiochemicalanalysisandcomputationalmodels
AT kinugasaryuta roleoftheextracellularmatrixinlossofmuscleforcewithageandunloadingusingmagneticresonanceimagingbiochemicalanalysisandcomputationalmodels
AT naricimarcovincenzo roleoftheextracellularmatrixinlossofmuscleforcewithageandunloadingusingmagneticresonanceimagingbiochemicalanalysisandcomputationalmodels
AT sinhashantanu roleoftheextracellularmatrixinlossofmuscleforcewithageandunloadingusingmagneticresonanceimagingbiochemicalanalysisandcomputationalmodels