1
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Takada J, Hamada K, Zhu X, Tsuboko Y, Iwasaki K. Biaxial tensile testing system for measuring mechanical properties of both sides of biological tissues. J Mech Behav Biomed Mater 2023; 146:106028. [PMID: 37531771 DOI: 10.1016/j.jmbbm.2023.106028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 07/11/2023] [Accepted: 07/14/2023] [Indexed: 08/04/2023]
Abstract
The aortic wall exhibits a unique elastic behavior, periodically expanding in aortic diameter by approximately 10% during heartbeats. This elastic behavior of the aortic wall relies on the distinct yet interacting mechanical properties of its three layers: intima, media, and adventitia. Aortic aneurysms develop as a result of multifactorial remodeling influenced by mechanical vulnerability of the aortic wall. Therefore, investigating the mechanical response of the aneurysmal wall, in conjunction with changes in microstructural parameters on both the intimal and adventitial sides, may offer valuable insights into the mechanisms of aortic aneurysm development or rupture. This study aimed to develop a biaxial tensile testing system to measure the mechanical properties of both sides of the tissue to gain insights concerning the interactions in anisotropic layered tissue. The biaxial tensile test set-up consisted of four motors, four cameras, four load cells, and a toggle switch. Porcine ascending aortas were chosen as the test subject. Graphite particles with diameters of approximately 5-11 [μm] were randomly applied to both sides of the aorta. Strain measurements were obtained using the stereo digital-image correlation method. Because stretching a rectangular specimen with a thread inevitably concentrates and localizes stress, to reduce this effect the specimen's shape was investigated using finite element analysis. The finite element analysis showed that a cross-shaped specimen with diagonally cut edges would be suitable. Therefore, we prepared specimens with this novel shape. This test system showed that mechanical response of the aortic tissue was significantly different between the intimal and adventitial side in the high-strain range, due to the disruption of collagen fibers. The adventitia side exhibited a smaller elastic modulus than the intimal side, accompanied by disruption of collagen fibers in the adventitia, which were more pronounced in the longitudinal direction. In contrast, in the mid-strain range, the elastic modulus did not differ between the intimal and adventitial sides, irrespective of longitudinal or circumferential direction, and collagen fibers were not disrupted but elongated. A biaxial tensile test system, which measures the mechanical properties of both sides of biological tissues and the shape of the specimen for reducing the concentration of stress at the chuck region, was developed in this study. The biaxial tensile testing system developed here is useful for better understanding the influences of mechanical loads and tissue degeneration on anisotropic, layered biological tissues.
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Affiliation(s)
- Jumpei Takada
- Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, Tokyo, Japan; Department of Integrative Bioscience and Biomedical Engineering, Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan
| | - Kohei Hamada
- Department of Integrative Bioscience and Biomedical Engineering, Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan
| | - Xiaodong Zhu
- Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan
| | - Yusuke Tsuboko
- Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan
| | - Kiyotaka Iwasaki
- Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, Tokyo, Japan; Department of Integrative Bioscience and Biomedical Engineering, Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan; Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan; Cooperative Major in Advanced Biomedical Sciences, Joint Graduate School of Tokyo Women's Medical University and Waseda University, Waseda University, Tokyo, Japan.
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2
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Corti A, Shameen T, Sharma S, De Paolis A, Cardoso L. Biaxial testing system for characterization of mechanical and rupture properties of small samples. HARDWAREX 2022; 12:e00333. [PMID: 35795084 PMCID: PMC9251720 DOI: 10.1016/j.ohx.2022.e00333] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 06/21/2022] [Accepted: 06/25/2022] [Indexed: 06/15/2023]
Abstract
The study of damage and rupture of soft tissues using a tensile testing system is essential to understand the limits of mechanical behavior and loss of function in diseased tissues. However, commercial material testing systems are often expensive and may not be fully suitable for rupture tests of small samples. While several research laboratories have developed custom, less expensive, uniaxial or biaxial devices, there is a need for an open source, inexpensive, accurate and easy to customize biaxial material testing system to perform rupture tests in small soft samples. We designed a testing system (BiMaTS) that (a) was shown able to perform uniaxial and biaxial tests, (b) offers a large travel range for rupture tests of small samples, (c) maintains a centered field of view for effective strain mapping using digital image correlation, (d) provides a controlled temperature environment, (e) utilize many off-the-shelve components for easy manufacture and customization, and it is cost effective (∼$15 K). The instrument performance was characterized using 80%-scaled down, ASTM D412-C shaped PDMS samples. Our results demonstrate the ability of this open source, customizable, low-cost, biaxial materials testing system to successfully characterize the mechanical and rupture properties of small samples with high repeatability and accuracy.
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3
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Putra KB, Tian X, Plott J, Shih A. Biaxial test and hyperelastic material models of silicone elastomer fabricated by extrusion-based additive manufacturing for wearable biomedical devices. J Mech Behav Biomed Mater 2020; 107:103733. [PMID: 32364946 DOI: 10.1016/j.jmbbm.2020.103733] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 02/27/2020] [Accepted: 03/05/2020] [Indexed: 11/29/2022]
Abstract
Biaxial tensile testing of the silicone elastomer fabricated by additive manufacturing (AM) for wearable biomedical devices is presented. Silicone elastomer has unique mechanical properties ideal for stretchable parts in wearable biomedical devices. Biaxial tensile testing, in comparison to the uniaxial tensile and compression tests, is more representative for materials with large, multidirectional stretch. This study investigates the experimental setup and methods to measure and characterize mechanical properties of AM solid and porous silicone elastomer sheets on equi-biaxial stretch (with the stretch ratio up to 2). Four hyperelastic material models were applied to characterize the AM silicone sheet and evaluated through the finite element analysis (FEA) to quantify the fit to biaxial tensile test results. The Yeoh model with C10 = 80.7 kPa, C20 = -2.11 kPa, and C30 = 0.22 kPa has the best match to the experimentally measured stress-strain curve as well as the force and strain in FEA. This study demonstrates that the effects of raster angle and thickness are insignificant in the stress-strain curve of an AM silicone elastomer with solid cross-section. This study also demonstrates that AM can fabricate anisotropic porous silicone elastomer parts with different stiffness in x- and y-directions.
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Affiliation(s)
- Ketut B Putra
- Manufacturing Engineering, University of Michigan, Ann Arbor, MI, USA.
| | - Xiaoqing Tian
- Mechanical Engineering, Hefei University of Technology, Hefei, Anhui, China
| | - Jeffrey Plott
- Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Albert Shih
- Manufacturing Engineering, University of Michigan, Ann Arbor, MI, USA; Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA
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4
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Sohutskay DO, Puls TJ, Voytik-Harbin SL. Collagen Self-assembly: Biophysics and Biosignaling for Advanced Tissue Generation. MULTI-SCALE EXTRACELLULAR MATRIX MECHANICS AND MECHANOBIOLOGY 2020. [DOI: 10.1007/978-3-030-20182-1_7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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5
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Li H, Mattson JM, Zhang Y. Integrating structural heterogeneity, fiber orientation, and recruitment in multiscale ECM mechanics. J Mech Behav Biomed Mater 2019; 92:1-10. [PMID: 30654215 PMCID: PMC6387859 DOI: 10.1016/j.jmbbm.2018.12.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 11/26/2018] [Accepted: 12/18/2018] [Indexed: 01/06/2023]
Abstract
Extracellular matrix (ECM) plays critical roles in establishing tissue structure-function relationships and controlling cell fate. However, the mechanisms by which ECM mechanics influence cell and tissue behavior remain to be elucidated since the events associated with this process span length scales from the tissue to molecular level. Entirely new methods are needed in order to better understand the multiscale mechanics of ECM. In this study, a multiscale experimental approach was established by integrating Optical Magnetic Twisting Cytometry (OMTC) with a biaxial tensile tester to study the microscopic (local) ECM mechanical properties under controlled tissue-level (global) loading. Adventitial layer of porcine thoracic artery was used as a collagen-based ECM. Multiphoton microscopy imaging was performed to capture the changes in ECM fiber structure during biaxial deformation. As visualized from multiphoton microscopy images, biaxial stretch induces gradual fiber straightening and the fiber families become evident at higher stretch levels. The OMTC measurements show that the local apparent storage and loss modulus increases with the global biaxial stretch, however there exists a complex interplay among local ECM mechanical properties, ECM structural heterogeneity, and fiber distribution and engagement. The phase lag does not change significantly with global biaxial stretch. Our results also show a much faster increase in global tissue tangent modulus compared to the local apparent complex modulus with biaxial stretch, indicating the scale dependency of ECM mechanics.
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Affiliation(s)
- Haiyue Li
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA
| | - Jeffrey M Mattson
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA
| | - Yanhang Zhang
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
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6
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Zündel M, Ehret AE, Mazza E. The multiscale stiffness of electrospun substrates and aspects of their mechanical biocompatibility. Acta Biomater 2019; 84:146-158. [PMID: 30447336 DOI: 10.1016/j.actbio.2018.11.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 10/10/2018] [Accepted: 11/07/2018] [Indexed: 02/04/2023]
Abstract
In contrast to homogeneous materials, the mechanical properties of fibrous substrates depend on the probing lengthscale. This suggests that cells feel very different mechanical cues than expected from the macroscale characterisation of the substrate materials. By means of multiscale computational analyses we study here the mechanical environment of cells adhering to typical electrospun networks used in biomedical applications, with comparable macroscopic stiffness but different fibre diameters. The stiffness evaluated at the level of focal adhesions varies significantly, and the overall magnitude is strongly affected by the fibre diameter. The microscopic stiffness evaluated at cell scale depends substantially on the network topology and is about one order of magnitude lower than the macroscopic stiffness of the substrate, and two to three orders of magnitude below the fibres' elastic modulus. Moreover, the translation of stiffness over the scales is modulated by global deformations of the scaffold. In particular, uniaxial or biaxial stretching of the substrate induces nonlinear microscopic stiffening. Finally, although electrospun networks allow long-range transmission of cell-induced deformations, the comparison between the range of forces measured in cell traction force microscopy and those required to markedly deform typical electrospun networks reveals an order of magnitude difference, suggesting that these scaffolds provide a rather rigid environment for cells. All these results underline that the achievement of mechanical biocompatibility at all relevant lengthscales, and over the whole range of physiological loading states is extremely challenging. At the same time, the study shows that the diameter, length and curvature of fibre segments might be tunable towards achieving this goal. STATEMENT OF SIGNIFICANCE: Electrospun fabrics have growing use as substrates and scaffolds in tissue engineering and other biomedical applications. Based on multiscale computational analyses, this study shows that substrates of comparable macroscopic stiffness can provide tremendously different mechanical micro-environments, and that cells adhering to fibrous substrates may thus experience by orders of magnitude different mechanical cues than it would be expected from macroscale material characterisation. The simulations further reveal that the transfer of stiffness over the length scales changes with macroscopic deformation, and identify some key parameters that govern the transfer ratio. We believe that such refined understanding of the multiscale aspects of mechanical biocompatibility is key to the development of successful scaffold materials.
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Affiliation(s)
- Manuel Zündel
- ETH Zürich, Institute for Mechanical Systems, 8092 Zürich, Switzerland
| | - Alexander E Ehret
- ETH Zürich, Institute for Mechanical Systems, 8092 Zürich, Switzerland; Empa, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland
| | - Edoardo Mazza
- ETH Zürich, Institute for Mechanical Systems, 8092 Zürich, Switzerland; Empa, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland.
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7
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Development of a Platform for Studying 3D Astrocyte Mechanobiology: Compression of Astrocytes in Collagen Gels. Ann Biomed Eng 2017; 46:365-374. [DOI: 10.1007/s10439-017-1967-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Accepted: 11/21/2017] [Indexed: 12/25/2022]
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8
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Borgiani E, Duda GN, Checa S. Multiscale Modeling of Bone Healing: Toward a Systems Biology Approach. Front Physiol 2017; 8:287. [PMID: 28533757 PMCID: PMC5420595 DOI: 10.3389/fphys.2017.00287] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 04/19/2017] [Indexed: 12/30/2022] Open
Abstract
Bone is a living part of the body that can, in most situations, heal itself after fracture. However, in some situations, healing may fail. Compromised conditions, such as large bone defects, aging, immuno-deficiency, or genetic disorders, might lead to delayed or non-unions. Treatment strategies for those conditions remain a clinical challenge, emphasizing the need to better understand the mechanisms behind endogenous bone regeneration. Bone healing is a complex process that involves the coordination of multiple events at different length and time scales. Computer models have been able to provide great insights into the interactions occurring within and across the different scales (organ, tissue, cellular, intracellular) using different modeling approaches [partial differential equations (PDEs), agent-based models, and finite element techniques]. In this review, we summarize the latest advances in computer models of bone healing with a focus on multiscale approaches and how they have contributed to understand the emergence of tissue formation patterns as a result of processes taking place at the lower length scales.
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Affiliation(s)
- Edoardo Borgiani
- Julius Wolff Institute, Charité-Universitätsmedizin BerlinBerlin, Germany.,Berlin-Brandenburg School for Regenerative Therapies, Charité-Universitätsmedizin BerlinBerlin, Germany
| | - Georg N Duda
- Julius Wolff Institute, Charité-Universitätsmedizin BerlinBerlin, Germany.,Berlin-Brandenburg School for Regenerative Therapies, Charité-Universitätsmedizin BerlinBerlin, Germany
| | - Sara Checa
- Julius Wolff Institute, Charité-Universitätsmedizin BerlinBerlin, Germany.,Berlin-Brandenburg School for Regenerative Therapies, Charité-Universitätsmedizin BerlinBerlin, Germany
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9
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GONZÁLEZ-AVALOS P, MÜRNSEER M, DEEG J, BACHMANN A, SPATZ J, DOOLEY S, EILS R, GLADILIN E. Quantification of substrate and cellular strains in stretchable 3D cell cultures: an experimental and computational framework. J Microsc 2017; 266:115-125. [DOI: 10.1111/jmi.12520] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 12/15/2016] [Indexed: 12/16/2022]
Affiliation(s)
- P. GONZÁLEZ-AVALOS
- Division of Theoretical Bioinformatics; German Cancer Research Center; Mathematikon - Berliner Str. 41 69120 Heidelberg Germany
- BioQuant and IPMB; University of Heidelberg; Im Neuenheimer Feld 267 69120 Heidelberg Germany
- Current address: COS; University of Heidelberg; Im Neuenheimer Feld 230 Germany
| | - M. MÜRNSEER
- Mol. Hepatol., Department of Medicine II, Medical Faculty Mannheim; University of Heidelberg; 68167 Mannheim Germany
| | - J. DEEG
- Max-Planck-Institute for Intelligent Systems; Heisenbergstr. 3 70569 Stuttgart Germany
- Biophysical Chemistry; University of Heidelberg; Im Neuenheimer Feld 253 69120 Heidelberg Germany
| | - A. BACHMANN
- Mol. Hepatol., Department of Medicine II, Medical Faculty Mannheim; University of Heidelberg; 68167 Mannheim Germany
- Current address: BG Trauma Centre; University of Tübingen; Schnarrenbergstr. 95 72076 Tübingen Germany
| | - J. SPATZ
- Max-Planck-Institute for Intelligent Systems; Heisenbergstr. 3 70569 Stuttgart Germany
- Biophysical Chemistry; University of Heidelberg; Im Neuenheimer Feld 253 69120 Heidelberg Germany
| | - S. DOOLEY
- Mol. Hepatol., Department of Medicine II, Medical Faculty Mannheim; University of Heidelberg; 68167 Mannheim Germany
| | - R. EILS
- Division of Theoretical Bioinformatics; German Cancer Research Center; Mathematikon - Berliner Str. 41 69120 Heidelberg Germany
- BioQuant and IPMB; University of Heidelberg; Im Neuenheimer Feld 267 69120 Heidelberg Germany
| | - E. GLADILIN
- Division of Theoretical Bioinformatics; German Cancer Research Center; Mathematikon - Berliner Str. 41 69120 Heidelberg Germany
- BioQuant and IPMB; University of Heidelberg; Im Neuenheimer Feld 267 69120 Heidelberg Germany
- Current address: Leibniz Institute of Plant Genetics and Crop Plant Research; Corrensstrasse 3 06466 Gatersleben Germany
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10
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Ghosh S, Cimino JG, Scott AK, Damen FW, Phillips EH, Veress AI, Neu CP, Goergen CJ. In Vivo Multiscale and Spatially-Dependent Biomechanics Reveals Differential Strain Transfer Hierarchy in Skeletal Muscle. ACS Biomater Sci Eng 2017; 3:2798-2805. [PMID: 29276759 DOI: 10.1021/acsbiomaterials.6b00772] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Biological tissues have a complex hierarchical architecture that spans organ to subcellular scales and comprises interconnected biophysical and biochemical machinery. Mechanotransduction, gene regulation, gene protection, and structure-function relationships in tissues depend on how force and strain are modulated from macro to micro scales, and vice versa. Traditionally, computational and experimental techniques have been used in common model systems (e.g., embryos) and simple strain measures were applied. But the hierarchical transfer of mechanical parameters like strain in mammalian systems is largely unexplored in vivo. Here, we experimentally probed complex strain transfer processes in mammalian skeletal muscle tissue over multiple biological scales using complementary in vivo ultrasound and optical imaging approaches. An iterative hyperelastic warping technique quantified the spatially-dependent strain distributions in tissue, matrix, and subcellular (nuclear) structures, and revealed a surprising increase in strain magnitude and heterogeneity in active muscle as the spatial scale also increased. The multiscale strain heterogeneity indicates tight regulation of mechanical signals to the nuclei of individual cells in active muscle, and an emergent behavior appearing at larger (e.g. tissue) scales characterized by dramatically increased strain complexity.
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Affiliation(s)
- Soham Ghosh
- Department of Mechanical Engineering, University of Colorado Boulder, 1111 Engineering Drive, UCB 427, Boulder, Colorado 80309, United States
| | - James G Cimino
- Weldon School of Biomedical Engineering, Purdue University, 206 S Martin Jischke Drive, West Lafayette, Indiana 47907, United States
| | - Adrienne K Scott
- Department of Mechanical Engineering, University of Colorado Boulder, 1111 Engineering Drive, UCB 427, Boulder, Colorado 80309, United States
| | - Frederick W Damen
- Weldon School of Biomedical Engineering, Purdue University, 206 S Martin Jischke Drive, West Lafayette, Indiana 47907, United States
| | - Evan H Phillips
- Weldon School of Biomedical Engineering, Purdue University, 206 S Martin Jischke Drive, West Lafayette, Indiana 47907, United States
| | - Alexander I Veress
- Department of Mechanical Engineering, University of Washington, 352600 Stevens Way, Seattle, Washington 98195, United States
| | - Corey P Neu
- Department of Mechanical Engineering, University of Colorado Boulder, 1111 Engineering Drive, UCB 427, Boulder, Colorado 80309, United States.,Weldon School of Biomedical Engineering, Purdue University, 206 S Martin Jischke Drive, West Lafayette, Indiana 47907, United States
| | - Craig J Goergen
- Weldon School of Biomedical Engineering, Purdue University, 206 S Martin Jischke Drive, West Lafayette, Indiana 47907, United States
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11
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Cook CA, Huri PY, Ginn BP, Gilbert-Honick J, Somers SM, Temple JP, Mao HQ, Grayson WL. Characterization of a novel bioreactor system for 3D cellular mechanobiology studies. Biotechnol Bioeng 2016; 113:1825-37. [PMID: 26825810 DOI: 10.1002/bit.25946] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 01/20/2016] [Accepted: 01/25/2016] [Indexed: 11/12/2022]
Abstract
In vitro engineering systems can be powerful tools for studying tissue development in response to biophysical stimuli as well as for evaluating the functionality of engineered tissue grafts. It has been challenging, however, to develop systems that adequately integrate the application of biomimetic mechanical strain to engineered tissue with the ability to assess functional outcomes in real time. The aim of this study was to design a bioreactor system capable of real-time conditioning (dynamic, uniaxial strain, and electrical stimulation) of centimeter-long 3D tissue engineered constructs simultaneously with the capacity to monitor local strains. The system addresses key limitations of uniform sample loading and real-time imaging capabilities. Our system features an electrospun fibrin scaffold, which exhibits physiologically relevant stiffness and uniaxial alignment that facilitates cell adhesion, alignment, and proliferation. We have demonstrated the capacity for directly incorporating human adipose-derived stromal/stem cells into the fibers during the electrospinning process and subsequent culture of the cell-seeded constructs in the bioreactor. The bioreactor facilitates accurate pre-straining of the 3D constructs as well as the application of dynamic and static uniaxial strains while monitoring bulk construct tensions. The incorporation of fluorescent nanoparticles throughout the scaffolds enables in situ monitoring of local strain fields using fluorescent digital image correlation techniques, since the bioreactor is imaging compatible, and allows the assessment of local sample stiffness and stresses when coupled with force sensor measurements. In addition, the system is capable of measuring the electromechanical coupling of skeletal muscle explants by applying an electrical stimulus and simultaneously measuring the force of contraction. The packaging of these technologies, biomaterials, and analytical methods into a single bioreactor system has produced a powerful tool that will enable improved engineering of functional 3D ligaments, tendons, and skeletal muscles. Biotechnol. Bioeng. 2016;113: 1825-1837. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Colin A Cook
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, 400 N. Broadway, Smith 5023, Baltimore, Maryland, 21287.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Pinar Y Huri
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, 400 N. Broadway, Smith 5023, Baltimore, Maryland, 21287.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Biomedical Engineering, Ankara University Faculty of Engineering, Ankara, Turkey
| | - Brian P Ginn
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, 400 N. Broadway, Smith 5023, Baltimore, Maryland, 21287.,Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland
| | - Jordana Gilbert-Honick
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, 400 N. Broadway, Smith 5023, Baltimore, Maryland, 21287.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sarah M Somers
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, 400 N. Broadway, Smith 5023, Baltimore, Maryland, 21287.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Joshua P Temple
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, 400 N. Broadway, Smith 5023, Baltimore, Maryland, 21287
| | - Hai-Quan Mao
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, 400 N. Broadway, Smith 5023, Baltimore, Maryland, 21287.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland.,Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland
| | - Warren L Grayson
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, 400 N. Broadway, Smith 5023, Baltimore, Maryland, 21287. .,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland. .,Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland. .,Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland.
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12
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Mechanical biocompatibility of highly deformable biomedical materials. J Mech Behav Biomed Mater 2015; 48:100-124. [DOI: 10.1016/j.jmbbm.2015.03.023] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2014] [Revised: 03/22/2015] [Accepted: 03/24/2015] [Indexed: 12/20/2022]
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13
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Davis CA, Zambrano S, Anumolu P, Allen ACB, Sonoqui L, Moreno MR. Device-Based In Vitro Techniques for Mechanical Stimulation of Vascular Cells: A Review. J Biomech Eng 2015; 137:040801. [DOI: 10.1115/1.4029016] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2013] [Accepted: 11/07/2014] [Indexed: 01/19/2023]
Abstract
The most common cause of death in the developed world is cardiovascular disease. For decades, this has provided a powerful motivation to study the effects of mechanical forces on vascular cells in a controlled setting, since these cells have been implicated in the development of disease. Early efforts in the 1970 s included the first use of a parallel-plate flow system to apply shear stress to endothelial cells (ECs) and the development of uniaxial substrate stretching techniques (Krueger et al., 1971, “An in Vitro Study of Flow Response by Cells,” J. Biomech., 4(1), pp. 31–36 and Meikle et al., 1979, “Rabbit Cranial Sutures in Vitro: A New Experimental Model for Studying the Response of Fibrous Joints to Mechanical Stress,” Calcif. Tissue Int., 28(2), pp. 13–144). Since then, a multitude of in vitro devices have been designed and developed for mechanical stimulation of vascular cells and tissues in an effort to better understand their response to in vivo physiologic mechanical conditions. This article reviews the functional attributes of mechanical bioreactors developed in the 21st century, including their major advantages and disadvantages. Each of these systems has been categorized in terms of their primary loading modality: fluid shear stress (FSS), substrate distention, combined distention and fluid shear, or other applied forces. The goal of this article is to provide researchers with a survey of useful methodologies that can be adapted to studies in this area, and to clarify future possibilities for improved research methods.
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Affiliation(s)
- Caleb A. Davis
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843-3120 e-mail:
| | - Steve Zambrano
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843-3120 e-mail:
| | - Pratima Anumolu
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843-3120 e-mail:
| | - Alicia C. B. Allen
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712-1801 e-mail:
| | - Leonardo Sonoqui
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843-3120 e-mail:
| | - Michael R. Moreno
- Department of Mechanical Engineering, Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843-3123 e-mail:
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14
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Nierenberger M, Fargier G, Ahzi S, Rémond Y. Evolution of the three-dimensional collagen structure in vascular walls during deformation: an in situ mechanical testing under multiphoton microscopy observation. Biomech Model Mechanobiol 2014; 14:693-702. [DOI: 10.1007/s10237-014-0630-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2014] [Accepted: 10/24/2014] [Indexed: 10/24/2022]
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15
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Roossien DH, Lamoureux P, Miller KE. Cytoplasmic dynein pushes the cytoskeletal meshwork forward during axonal elongation. J Cell Sci 2014; 127:3593-602. [PMID: 24951117 DOI: 10.1242/jcs.152611] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
During development, neurons send out axonal processes that can reach lengths hundreds of times longer than the diameter of their cell bodies. Recent studies indicate that en masse microtubule translocation is a significant mechanism underlying axonal elongation, but how cellular forces drive this process is unknown. Cytoplasmic dynein generates forces on microtubules in axons to power their movement through 'stop-and-go' transport, but whether these forces influence the bulk translocation of long microtubules embedded in the cytoskeletal meshwork has not been tested. Here, we use both function-blocking antibodies targeted to the dynein intermediate chain and the pharmacological dynein inhibitor ciliobrevin D to ask whether dynein forces contribute to en bloc cytoskeleton translocation. By tracking docked mitochondria as fiducial markers for bulk cytoskeleton movements, we find that translocation is reduced after dynein disruption. We then directly measure net force generation after dynein disruption and find a dramatic increase in axonal tension. Taken together, these data indicate that dynein generates forces that push the cytoskeletal meshwork forward en masse during axonal elongation.
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Affiliation(s)
- Douglas H Roossien
- Cell and Molecular Biology Program, Michigan State University, 288 Farm Ln Room 336, East Lansing, MI 48824, USA
| | - Phillip Lamoureux
- Department of Zoology, Michigan State University, 288 Farm Ln Room 336, East Lansing, MI 48824, USA
| | - Kyle E Miller
- Department of Zoology, Michigan State University, 288 Farm Ln Room 336, East Lansing, MI 48824, USA
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Jacobs NT, Cortes DH, Vresilovic EJ, Elliott DM. Biaxial tension of fibrous tissue: using finite element methods to address experimental challenges arising from boundary conditions and anisotropy. J Biomech Eng 2013; 135:021004. [PMID: 23445049 DOI: 10.1115/1.4023503] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Planar biaxial tension remains a critical loading modality for fibrous soft tissue and is widely used to characterize tissue mechanical response, evaluate treatments, develop constitutive formulas, and obtain material properties for use in finite element studies. Although the application of tension on all edges of the test specimen represents the in situ environment, there remains a need to address the interpretation of experimental results. Unlike uniaxial tension, in biaxial tension the applied forces at the loading clamps do not transmit fully to the region of interest (ROI), which may lead to improper material characterization if not accounted for. In this study, we reviewed the tensile biaxial literature over the last ten years, noting experimental and analysis challenges. In response to these challenges, we used finite element simulations to quantify load transmission from the clamps to the ROI in biaxial tension and to formulate a correction factor that can be used to determine ROI stresses. Additionally, the impact of sample geometry, material anisotropy, and tissue orientation on the correction factor were determined. Large stress concentrations were evident in both square and cruciform geometries and for all levels of anisotropy. In general, stress concentrations were greater for the square geometry than the cruciform geometry. For both square and cruciform geometries, materials with fibers aligned parallel to the loading axes reduced stress concentrations compared to the isotropic tissue, resulting in more of the applied load being transferred to the ROI. In contrast, fiber-reinforced specimens oriented such that the fibers aligned at an angle to the loading axes produced very large stress concentrations across the clamps and shielding in the ROI. A correction factor technique was introduced that can be used to calculate the stresses in the ROI from the measured experimental loads at the clamps. Application of a correction factor to experimental biaxial results may lead to more accurate representation of the mechanical response of fibrous soft tissue.
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Affiliation(s)
- Nathan T Jacobs
- Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, 220 South 33rd Street, Philadelphia, PA 19104, USA
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Sibole SC, Maas S, Halloran JP, Weiss JA, Erdemir A. Evaluation of a post-processing approach for multiscale analysis of biphasic mechanics of chondrocytes. Comput Methods Biomech Biomed Engin 2013; 16:1112-26. [PMID: 23809004 DOI: 10.1080/10255842.2013.809711] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Understanding the mechanical behaviour of chondrocytes as a result of cartilage tissue mechanics has significant implications for both evaluation of mechanobiological function and to elaborate on damage mechanisms. A common procedure for prediction of chondrocyte mechanics (and of cell mechanics in general) relies on a computational post-processing approach where tissue-level deformations drive cell-level models. Potential loss of information in this numerical coupling approach may cause erroneous cellular-scale results, particularly during multiphysics analysis of cartilage. The goal of this study was to evaluate the capacity of first- and second-order data passing to predict chondrocyte mechanics by analysing cartilage deformations obtained for varying complexity of loading scenarios. A tissue-scale model with a sub-region incorporating representation of chondron size and distribution served as control. The post-processing approach first required solution of a homogeneous tissue-level model, results of which were used to drive a separate cell-level model (same characteristics as the sub-region of control model). The first-order data passing appeared to be adequate for simplified loading of the cartilage and for a subset of cell deformation metrics, for example, change in aspect ratio. The second-order data passing scheme was more accurate, particularly when asymmetric permeability of the tissue boundaries was considered. Yet, the method exhibited limitations for predictions of instantaneous metrics related to the fluid phase, for example, mass exchange rate. Nonetheless, employing higher order data exchange schemes may be necessary to understand the biphasic mechanics of cells under lifelike tissue loading states for the whole time history of the simulation.
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Affiliation(s)
- Scott C Sibole
- a Computational Biomodeling (CoBi) Core, Lerner Research Institute, Cleveland Clinic , Cleveland , OH , USA
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Susilo ME, Bell BJ, Roeder BA, Voytik-Harbin SL, Kokini K, Nauman EA. Prediction of equibiaxial loading stress in collagen-based extracellular matrix using a three-dimensional unit cell model. Acta Biomater 2013; 9:5544-53. [PMID: 23107798 DOI: 10.1016/j.actbio.2012.10.028] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2012] [Revised: 10/14/2012] [Accepted: 10/19/2012] [Indexed: 10/27/2022]
Abstract
Mechanical signals are important factors in determining cell fate. Therefore, insights as to how mechanical signals are transferred between the cell and its surrounding three-dimensional collagen fibril network will provide a basis for designing the optimum extracellular matrix (ECM) microenvironment for tissue regeneration. Previously we described a cellular solid model to predict fibril microstructure-mechanical relationships of reconstituted collagen matrices due to unidirectional loads (Acta Biomater 2010;6:1471-86). The model consisted of representative volume elements made up of an interconnected network of flexible struts. The present study extends this work by adapting the model to account for microstructural anisotropy of the collagen fibrils and a biaxial loading environment. The model was calibrated based on uniaxial tensile data and used to predict the equibiaxial tensile stress-stretch relationship. Modifications to the model significantly improved its predictive capacity for equibiaxial loading data. With a comparable fibril length (model 5.9-8μm, measured 7.5μm) and appropriate fibril anisotropy the anisotropic model provides a better representation of the collagen fibril microstructure. Such models are important tools for tissue engineering because they facilitate prediction of microstructure-mechanical relationships for collagen matrices over a wide range of microstructures and provide a framework for predicting cell-ECM interactions.
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