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The Correlation of Regional Microstructure and Mechanics of the Cervical Articular Process in Adults. MATERIALS 2021; 14:ma14216409. [PMID: 34771937 PMCID: PMC8585171 DOI: 10.3390/ma14216409] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/27/2021] [Accepted: 08/02/2021] [Indexed: 11/26/2022]
Abstract
Purpose: Using micro-CT and finite element analysis to establish regional variation microarchitectures and correlation with mechanical properties of cervical articular facet trabecular bone to predict cervical spine security and material properties. Methods: A total of 144 cervical articular processes (each articular was separate to four region of interest (ROI), superior-anterior (SA), superior-posterior (SP), inferior-anterior (IA), and inferior-posterior (IP) regions) specimens with a volume of 5 × 5 × 5 mm3 were scanned by micro-CT, and allowable stress and other mechanical properties parameters in each region were calculated after mechanical testing, then the effectiveness was verified of finite element models by ABAQUS software. Results: Maximum and minimum values of C2–C7 articular processes and regions are C5 and C7 level, SA and SP regions for bone volume fraction (BV/TV) and trabecular thickness (Tb.Th), whose variation tendency is similar to the Young’s modulus, allowable stress, BMD, maximum force and strain. Between Young’s modulus and all microstructure parameters, especially between BV/TV, bone mineral density (BMD) and Tb.Th, had higher linear regression coefficients R2 = 0.5676, 0.6382, 0.3535, respectively. BMD and yield strength, BV/TV, and allowable stress also had better regression coefficients, R2 = 0.5227, 0.5259, 0.5426, respectively. Conclusions: The contribution of the microstructure and mechanical properties of the C2–C7 cervical spine to the movement of the cervical spine is different and has a good correlation and the effectiveness of the finite element model is also verified that we can correctly calculate the microstructure and mechanical properties of the cervical articular process to evaluate the stability and injury risk of cervical vertebrae by the established model.
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Lovalekar M, Hauret K, Roy T, Taylor K, Blacker SD, Newman P, Yanovich R, Fleischmann C, Nindl BC, Jones B, Canham-Chervak M. Musculoskeletal injuries in military personnel-Descriptive epidemiology, risk factor identification, and prevention. J Sci Med Sport 2021; 24:963-969. [PMID: 33824080 DOI: 10.1016/j.jsams.2021.03.016] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 03/15/2021] [Accepted: 03/24/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES To provide an overall perspective on musculoskeletal injury (MSI) epidemiology, risk factors, and preventive strategies in military personnel. DESIGN Narrative review. METHODS The thematic session on MSIs in military personnel at the 5th International Congress on Soldiers' Physical Performance (ICSPP) included eight presentations on the descriptive epidemiology, risk factor identification, and prevention of MSIs in military personnel. Additional topics presented were bone anabolism, machine learning analysis, and the effects of non-steroidal anti-inflammatory drugs (NSAIDs) on MSIs. This narrative review focuses on the thematic session topics and includes identification of gaps in existing literature, as well as areas for future study. RESULTS MSIs cause significant morbidity among military personnel. Physical training and occupational tasks are leading causes of MSI limited duty days (LDDs) for the U.S. Army. Recent studies have shown that MSIs are associated with the use of NSAIDs. Bone MSIs are very common in training; new imaging technology such as high resolution peripheral quantitative computed tomography allows visualization of bone microarchitecture and has been used to assess new bone formation during military training. Physical activity monitoring and machine learning have important applications in monitoring and informing evidence-based solutions to prevent MSIs. CONCLUSIONS Despite many years of research, MSIs continue to have a high incidence among military personnel. Areas for future research include quantifying exposure when determining MSI risk; understanding associations between health-related components of physical fitness and MSI occurrence; and application of innovative imaging, physical activity monitoring and data analysis techniques for MSI prevention and return to duty.
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Affiliation(s)
- Mita Lovalekar
- Department of Sports Medicine and Nutrition, School of Health and Rehabilitation Sciences, University of Pittsburgh, USA.
| | - Keith Hauret
- U.S. Army Public Health Center, Aberdeen Proving Ground, USA
| | - Tanja Roy
- U.S. Army Research Institute of Environmental Medicine, USA
| | - Kathryn Taylor
- U.S. Army Research Institute of Environmental Medicine, USA
| | | | | | - Ran Yanovich
- Institute of Military Physiology, Israel Defense Forces Medical Corps, Israel; Department of Military Medicine, Hebrew University School of Medicine, Israel
| | - Chen Fleischmann
- Institute of Military Physiology, Israel Defense Forces Medical Corps, Israel; Department of Military Medicine, Hebrew University School of Medicine, Israel
| | - Bradley C Nindl
- Department of Sports Medicine and Nutrition, School of Health and Rehabilitation Sciences, University of Pittsburgh, USA
| | - Bruce Jones
- U.S. Army Public Health Center, Aberdeen Proving Ground, USA
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Sundaramurthy A, Xu C, Hughes JM, Gaffney-Stomberg E, Guerriere KI, Popp KL, Bouxsein ML, Reifman J, Unnikrishnan G. Regional Changes in Density and Microarchitecture in the Ultradistal Tibia of Female Recruits After U.S. Army Basic Combat Training. Calcif Tissue Int 2019; 105:68-76. [PMID: 31011765 DOI: 10.1007/s00223-019-00548-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 04/10/2019] [Indexed: 12/23/2022]
Abstract
Musculoskeletal injuries, such as stress fracture, are responsible for over 10-million lost-duty days among U.S. Army Soldiers. During Basic Combat Training (BCT), an 8- to 10-week program that transforms civilians into Soldiers, women are four times more likely than men to sustain a stress fracture. In this work, we performed high-resolution peripheral quantitative computed tomography scans on the ultradistal tibia of 90 female recruits [age = 21.5 ± 3.3 (mean ± standard deviation) years] before the start of BCT and after 8 weeks into BCT. Then, we divided the scanned bone volume into four sectors-lateral, posterior, medial, and anterior-and computed the bone density and microarchitectural parameters in each of the four sectors pre- and post-BCT. We used linear mixed models to estimate the mean difference for bone density and microarchitectural parameters, while controlling for age, race, and pre-BCT body mass index. Our results revealed that the total volumetric bone mineral density, trabecular volumetric bone mineral density, and trabecular thickness increased (p < 0.05) in each of the four sectors. In addition, cortical thickness and trabecular bone volume/total volume increased in both medial and posterior sectors (p < 0.05). Overall, six and five out of nine parameters improved in the medial and posterior sectors, respectively, after BCT. In conclusion, the heightened physical activity during BCT led to the most beneficial bone adaptation in the medial and posterior sectors of the ultradistal tibia, which is indicative of higher loading in these sectors during activities performed in the course of BCT.
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Affiliation(s)
- Aravind Sundaramurthy
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Fort Detrick, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
| | - Chun Xu
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Fort Detrick, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
| | - Julie M Hughes
- Military Performance Division, United States Army Research Institute of Environmental Medicine, Natick, MA, USA
| | - Erin Gaffney-Stomberg
- Military Performance Division, United States Army Research Institute of Environmental Medicine, Natick, MA, USA
| | - Katelyn I Guerriere
- Military Performance Division, United States Army Research Institute of Environmental Medicine, Natick, MA, USA
| | - Kristin L Popp
- Military Performance Division, United States Army Research Institute of Environmental Medicine, Natick, MA, USA
- Endocrine Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Mary L Bouxsein
- Endocrine Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Department of Orthopedic Surgery, Harvard Medical School, Boston, MA, USA
| | - Jaques Reifman
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Fort Detrick, MD, USA.
| | - Ginu Unnikrishnan
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Fort Detrick, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
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Iori G, Schneider J, Reisinger A, Heyer F, Peralta L, Wyers C, Gräsel M, Barkmann R, Glüer CC, van den Bergh JP, Pahr D, Raum K. Large cortical bone pores in the tibia are associated with proximal femur strength. PLoS One 2019; 14:e0215405. [PMID: 30995279 PMCID: PMC6469812 DOI: 10.1371/journal.pone.0215405] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 04/01/2019] [Indexed: 11/23/2022] Open
Abstract
Alterations of structure and density of cortical bone are associated with fragility fractures and can be assessed in vivo in humans at the tibia. Bone remodeling deficits in aging women have been recently linked to an increase in size of cortical pores. In this ex vivo study, we characterized the cortical microarchitecture of 19 tibiae from human donors (aged 69 to 94 years) to address, whether this can reflect impairments of the mechanical competence of the proximal femur, i.e., a major fracture site in osteoporosis. Scanning acoustic microscopy (12 μm pixel size) provided reference microstructural measurements at the left tibia, while the bone vBMD at this site was obtained using microcomputed tomography (microCT). The areal bone mineral density of both left and right femoral necks (aBMDneck) was measured by dual‐energy X‐ray absorptiometry (DXA), while homogenized nonlinear finite element models based on high-resolution peripheral quantitative computed tomography provided hip stiffness and strength for one-legged standing and sideways falling loads. Hip strength was associated with aBMDneck (r = 0.74 to 0.78), with tibial cortical thickness (r = 0.81) and with measurements of the tibial cross-sectional geometry (r = 0.48 to 0.73) of the same leg. Tibial vBMD was associated with hip strength only for standing loads (r = 0.59 to 0.65). Cortical porosity (Ct.Po) of the tibia was not associated with any of the femoral parameters. However, the proportion of Ct.Po attributable to large pores (diameter > 100 μm) was associated with hip strength in both standing (r = -0.61) and falling (r = 0.48) conditions. When added to aBMDneck, the prevalence of large pores could explain up to 17% of the femur ultimate force. In conclusion, microstructural characteristics of the tibia reflect hip strength as well as femoral DXA, but it remains to be tested whether such properties can be measured in vivo.
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Affiliation(s)
- Gianluca Iori
- Berlin-Brandenburg Center for Regenerative Therapies, Charité –Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Johannes Schneider
- Berlin-Brandenburg Center for Regenerative Therapies, Charité –Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Andreas Reisinger
- Division Biomechanics, Karl Landsteiner University of Health Sciences, Krems, Austria
| | - Frans Heyer
- Department of Internal Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Internal Medicine, VieCuri Medical Center, Venlo, The Netherlands
| | - Laura Peralta
- Laboratoire d’Imagerie Biomédicale, Sorbonne Universités, INSERM UMR S 1146, CNRS UMR 7371, Paris, France
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Caroline Wyers
- Department of Internal Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Internal Medicine, VieCuri Medical Center, Venlo, The Netherlands
| | - Melanie Gräsel
- Sektion Biomedizinische Bildgebung, Klinik für Radiologie und Neuroradiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Reinhard Barkmann
- Sektion Biomedizinische Bildgebung, Klinik für Radiologie und Neuroradiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Claus C. Glüer
- Sektion Biomedizinische Bildgebung, Klinik für Radiologie und Neuroradiologie, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - J. P. van den Bergh
- Department of Internal Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Internal Medicine, VieCuri Medical Center, Venlo, The Netherlands
| | - Dieter Pahr
- Division Biomechanics, Karl Landsteiner University of Health Sciences, Krems, Austria
- Institute for Lightweight Design and Structural Biomechanics, TU Wien, Vienna, Austria
| | - Kay Raum
- Berlin-Brandenburg Center for Regenerative Therapies, Charité –Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- * E-mail:
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Popp KL, Xu C, Yuan A, Hughes JM, Unnikrishnan G, Reifman J, Bouxsein ML. Trabecular microstructure is influenced by race and sex in Black and White young adults. Osteoporos Int 2019; 30:201-209. [PMID: 30397770 DOI: 10.1007/s00198-018-4729-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 10/01/2018] [Indexed: 10/27/2022]
Abstract
UNLABELLED Lower fracture rates in Black men and women compared to their White counterparts are incompletely understood. High-resolution imaging specific to trabecular bone may provide insight. Black participants have enhanced trabecular morphology. These differences may contribute to the lower fracture risk in Black versus White individuals. INTRODUCTION Lower fracture rates in Black men and women compared to their White counterparts may be explained by favorable bone microstructure in Black individuals. Individual trabecular segmentation (ITS) analysis, which characterizes the alignment and plate- and rod-like nature of trabecular bone using high-resolution peripheral quantitative computed tomography (HR-pQCT), may provide insight into trabecular differences by race/ethnic origin. PURPOSE We determined differences in trabecular bone microarchitecture, connectivity, and alignment according to race/ethnic origin and sex in young adults. METHODS We analyzed HR-pQCT scans of 184 adult (24.2 ± 3.4 years) women (n = 51 Black, n = 50 White) and men (n = 34 Black, n = 49 White). We used ANCOVA to compare bone outcomes, and adjusted for age, height, and weight. RESULTS Overall, the effect of race on bone outcomes did not differ by sex, and the effect of sex on bone outcomes did not differ by race. After adjusting for covariates, Black participants and men of both races had greater trabecular plate volume fraction, plate thickness, plate number density, plate surface area, and greater axial alignment of trabeculae, leading to higher trabecular bone stiffness compared to White participants and women, respectively (p < 0.05 for all). CONCLUSION These findings demonstrate that more favorable bone microarchitecture in Black individuals compared to White individuals and in men compared to women is not unique to the cortical bone compartment. Enhanced plate-like morphology and greater trabecular axial alignment, established in young adulthood, may contribute to the improved bone strength and lower fracture risk in Black versus White individuals and in men compared to women.
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Affiliation(s)
- K L Popp
- Endocrine Unit, Massachusetts General Hospital, 50 Blossom Street, THR-1051, Boston, MA, 02114, USA.
- Department of Medicine, Harvard Medical School, 25 Shattuck St, Boston, MA, 02155, USA.
- Military Performance Division, United States Army Research Institute of Environmental Medicine, 10 General Greene Ave, Natick, MA, 01760, USA.
| | - C Xu
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advance Technology Research Center, United States Army Medical Research and Materiel Command, Fort Detrick, MD, 21702, USA
| | - A Yuan
- Endocrine Unit, Massachusetts General Hospital, 50 Blossom Street, THR-1051, Boston, MA, 02114, USA
| | - J M Hughes
- Military Performance Division, United States Army Research Institute of Environmental Medicine, 10 General Greene Ave, Natick, MA, 01760, USA
| | - G Unnikrishnan
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advance Technology Research Center, United States Army Medical Research and Materiel Command, Fort Detrick, MD, 21702, USA
| | - J Reifman
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advance Technology Research Center, United States Army Medical Research and Materiel Command, Fort Detrick, MD, 21702, USA
| | - M L Bouxsein
- Endocrine Unit, Massachusetts General Hospital, 50 Blossom Street, THR-1051, Boston, MA, 02114, USA
- Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center, and Department of Orthopedic Surgery, Harvard Medical School, One Overland Street, Boston, MA, 02215, USA
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Substrate elasticity regulates adipose-derived stromal cell differentiation towards osteogenesis and adipogenesis through β-catenin transduction. Acta Biomater 2018; 79:83-95. [PMID: 30134207 DOI: 10.1016/j.actbio.2018.08.018] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2017] [Revised: 08/03/2018] [Accepted: 08/17/2018] [Indexed: 02/05/2023]
Abstract
It is generally recognised that mesenchymal stem cells (MSCs) can differentiate into multiple lineages through guidance from the biophysical properties of the substrates. However, the precise biophysical mechanism that enables MSCs to respond to substrate properties remains unclear. In the current study, polydimethylsiloxane (PDMS) substrates with different stiffnesses were fabricated and the way in which the elastic modulus of the substrate regulated differentiation towards osteogenesis and adipogenesis in adipose-derived stromal cells (ASCs) was explored. Initially, a cell morphology change by SEM was observed between the stiff and soft substrates. The cytoskeleton stains including microfilament by F-actin and microtubule by α- and β-tubulin further showed a larger cell spreading area on the stiff substrate. Then the expression of vinculin, in charge for the linkage of adhesion molecules to the actin cytoskeleton, was enhanced on the stiff substrate. This change in focal adhesion plaque further triggered intracellular β-catenin signaling and promoted its nuclear translocation especially on the stiff substrate. The influence of β-catenin signaling on direct differentiation to osteogenic lineages was through direct binding between its downstream protein, Lef-1, and the osteogenic transcriptional factors, Runx2 and Osx, while on differentiation to adipogenic lineages was through modulating the expression of PPARγ. The imbalance of stiffness-induced β-catenin signaling finally induced a stronger osteogenesis and a weaker adipogenesis on the stiff substrate relative to those on the soft substrate. This study indicates the importance of stiffness on ASC differentiation and could help to increase understanding of the mechanism underlying molecular signal transduction from mechanosensing, mechanotransducing to stem cell differentiation. STATEMENT OF SIGNIFICANCE Mesenchymal stem cells can differentiate into multiple lineages, such as adipogenesis, myogenesis, neurogenesis, angiogenesis and osteogenesis, through influence of biophysical properties of the extracellular matrix. However, the precise bio-mechanism that triggers stem cell differentiation in response to matrix biophysical properties remains unclear. In the current study, we provide a series of experiments involving the characterization of cell morphology, microfilament, microtubule and adhesion capacity of adipose-derived stromal cells (ASCs) in response to substrate stiffness, and further elucidation of cytoplasmic β-catenin-dependent signal transduction, nuclear translocation and resultant promoter activation of transcriptional factors for osteogenesis and adipogenesis. This study provides an explanation on deeper understanding of bio-mechanism underlying substrate stiffness-triggered β-catenin signal transduction from active mechanosensing, mechanotransducing to stem cell differentiation.
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