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1. Early animal model evaluation of an implantable contrast agent to enhance magnetic resonance imaging of arterial bypass vein grafts

Author

Mitsouras, Dimitrios, Tao, Ming, de Vries, Margreet R, Trocha, Kaspar, Miranda, Oscar R, Vemula, Praveen Kumar, Ding, Kui, Imanzadeh, Amir, Schoen, Frederick J, Karp, Jeffrey M, Ozaki, C Keith, and Rybicki, Frank J

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Biomedical Imaging, Bioengineering, Prevention, Cardiovascular, Animals, Blood Vessel Prosthesis Implantation, Carotid Arteries, Contrast Media, Disease Models, Animal, Gadolinium DTPA, Magnetic Resonance Imaging, Male, Mice, Mice, Inbred C57BL, Signal-To-Noise Ratio, Vena Cava, Inferior, Magnetic resonance imaging, gadolinium, image enhancement, contrast media, signal-to-noise ratio, vascular grafting, peripheral vascular diseases, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

Background Non-invasive monitoring of autologous vein graft (VG) bypass grafts is largely limited to detecting late luminal narrowing. Although magnetic resonance imaging (MRI) delineates vein graft intima, media, and adventitia, which may detect early failure, the scan time required to achieve sufficient resolution is at present impractical. Purpose To study VG visualization enhancement in vivo and delineate whether a covalently attached MRI contrast agent would enable quicker longitudinal imaging of the VG wall. Material and Methods Sixteen 12-week-old male C57BL/6J mice underwent carotid interposition vein grafting. The inferior vena cava of nine donor mice was treated with a gadolinium-diethylenetriaminepentaacetic acid (Gd-DTPA)-based contrast agent, with control VGs labeled with a vehicle. T1-weighted (T1W) MRI was performed serially at postoperative weeks 1, 4, 12, and 20. A portion of animals was sacrificed for histopathology following each imaging time point. Results MRI signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were significantly higher for treated VGs in the first three time points (1.73 × higher SNR, P = 0.0006, and 5.83 × higher CNR at the first time point, P = 0.0006). However, MRI signal enhancement decreased consistently in the study period, to 1.29 × higher SNR and 2.64 × higher CNR, by the final time point. There were no apparent differences in graft morphometric analyses in Masson's trichrome-stained sections. Conclusion A MRI contrast agent that binds covalently to the VG wall provides significant increase in T1W MRI signal with no observed adverse effects in a mouse model. Further optimization of the contrast agent to enhance its durability is required.

Published
2018

2. Intracellular proteomics and extracellular vesiculomics as a metric of disease recapitulation in 3D-bioprinted aortic valve arrays

Author

Clift, Cassandra L., primary, Blaser, Mark C., additional, Gerrits, Willem, additional, Turner, Mandy E., additional, Sonawane, Abhijeet, additional, Pham, Tan, additional, Andresen, Jason L., additional, Fenton, Owen S., additional, Grolman, Joshua M., additional, Campedelli, Alesandra, additional, Buffolo, Fabrizio, additional, Schoen, Frederick J., additional, Hjortnaes, Jesper, additional, Muehlschlegel, Jochen D., additional, Mooney, David J., additional, Aikawa, Masanori, additional, Singh, Sasha A., additional, Langer, Robert, additional, and Aikawa, Elena, additional

Published
2024
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5. Intracellular proteomics and extracellular vesiculomics as a metric of disease recapitulation in 3D-bioprinted aortic valve arrays

Author

CTC, Regenerative Medicine and Stem Cells, Clift, Cassandra L., Blaser, Mark C., Gerrits, Willem, Turner, Mandy E., Sonawane, Abhijeet, Pham, Tan, Andresen, Jason L., Fenton, Owen S., Grolman, Joshua M., Campedelli, Alesandra, Buffolo, Fabrizio, Schoen, Frederick J., Hjortnaes, Jesper, Muehlschlegel, Jochen D., Mooney, David J., Aikawa, Masanori, Singh, Sasha A., Langer, Robert, Aikawa, Elena, CTC, Regenerative Medicine and Stem Cells, Clift, Cassandra L., Blaser, Mark C., Gerrits, Willem, Turner, Mandy E., Sonawane, Abhijeet, Pham, Tan, Andresen, Jason L., Fenton, Owen S., Grolman, Joshua M., Campedelli, Alesandra, Buffolo, Fabrizio, Schoen, Frederick J., Hjortnaes, Jesper, Muehlschlegel, Jochen D., Mooney, David J., Aikawa, Masanori, Singh, Sasha A., Langer, Robert, and Aikawa, Elena

Published
2024

14. List of Contributors

Author

Acharya, Abhinav, primary, Ackun-Farmmer, Marian A., additional, Aggas, John R., additional, Andersen, Phillip J., additional, Anderson, James M., additional, Anseth, Kristi, additional, Archer, Paul A., additional, Ashammakhi, Nureddin, additional, Avila, Jose D., additional, Babensee, Julia E., additional, Badylak, Stephen f., additional, Baek, Kiheon, additional, Baker, Aaron B., additional, Bakht, Syeda Mahwish, additional, Bandyopadhyay, Amit, additional, Barchowsky, Aaron, additional, Bass, Garrett, additional, Becker, Matthew L., additional, Belleghem, Sarah Miho Van, additional, Benoit, Danielle S.W., additional, Biesiekierski, Arne, additional, Billiar, Kristen L., additional, Bose, Susmita, additional, Bowman, Christopher, additional, Boyce, Steven, additional, Brown, Bryan N., additional, Brown, Justin L., additional, Capadona, Jeffrey R., additional, Castner, David G., additional, Chang, Calvin, additional, Chang, Philip, additional, Chilkoti, Ashutosh, additional, Christman, Karen L., additional, Chung, Sangwon, additional, Coleman, Kelly P., additional, Conway, Dan, additional, Cook, Keith E., additional, Cooper, Stuart L., additional, Cosgriff-Hernandez, Elizabeth, additional, Coury, Arthur J., additional, Criscione, Joseph D., additional, Culver, Heidi, additional, Curtis, Jim, additional, Deng, Feiyang, additional, Dhavalikar, Prachi, additional, Diaz-Gomez, Luis, additional, Domingues, Rui M.A., additional, Duncan, Elaine, additional, Duran, Pamela, additional, Esbrit, Pedro, additional, Eskin, Suzanne G., additional, Esmail, Michael Y., additional, Ferracane, Jack L., additional, Fischbach, Claudia, additional, Fischman, Gary, additional, Fisher, John P., additional, Francolini, Iolanda, additional, Frey, Steven J., additional, Gaharwar, Akhilesh K., additional, García, Andrés J., additional, Gibson, Iain R., additional, Gilbert, Jeremy L., additional, Ginn, Brian, additional, Goldblatt, Zachary E., additional, Goldenberg, Seth J., additional, Gomes, Manuela E., additional, Gómez-Florit, Manuel, additional, Gonçalves, Inês C., additional, Gorbet, Maud B., additional, Grainger, David W., additional, Grody, Miles, additional, Guda, Teja, additional, Guelcher, Scott A., additional, Guiseppi-Elie, Anthony, additional, Hacking, S. Adam, additional, Hallab, Nadim James, additional, Hall-Stoodley, Luanne, additional, Hanson, Stephen R., additional, Han, Woojin M., additional, Harman, Melinda K., additional, Harrington, Roger, additional, Haschak, Martin J., additional, Heath, Daniel E., additional, Hicks, Emily Anne, additional, Hill, Ryan T., additional, Hoffman, Allan S., additional, Horbett, Thomas A., additional, Hubbell, Jeffrey A., additional, Ipek, Rasim, additional, Jacobs, Joshua J., additional, Jang, Young C., additional, Jiang, Shaoyi, additional, Johnson, Richard J., additional, Jones, Julian R., additional, Jo, Vickie Y., additional, Kane, Ravi S., additional, Kaplan, David L., additional, Kar, Ronit, additional, Keselowsky, Benjamin George, additional, Khademhosseini, Ali, additional, Kim, Yu Seon, additional, King, Martin W., additional, Kohane, Daniel S., additional, Kohn, David H., additional, Kuhn, Liisa T., additional, Kulkarni, Mangesh, additional, Kuo, Catherine K., additional, Lai, Angela, additional, Lambert, Bryron, additional, Lan, Ziyang, additional, Latour, Robert A., additional, Laurencin, Cato T., additional, Lawson, Bryan K., additional, Layland, Shannon Lee, additional, Lee, Jae Sung, additional, Lee-Parritz, David, additional, Lei, Ying, additional, Lemons, Jack E., additional, Levy, Robert J., additional, Lewerenz, Gregory M., additional, Lewis, Jamal S., additional, Liebscher, Simone, additional, Lin, Chien-Chi, additional, Livingston, Natalie K., additional, Li, Yang, additional, Li, Yuncang, additional, Lu, Helen, additional, Macdougall, Laura, additional, Mahadik, Bhushan, additional, Mamidwar, Sachin, additional, Manspeaker, Margaret P., additional, Mao, Hai-Quan, additional, Ma, Peter X., additional, Marcet, Tyler, additional, Martin, Jeffrey, additional, Martins, M. Cristina L., additional, McArthur, Sally L., additional, McGill, Meghan, additional, McIntire, Larry V., additional, Mei, Lei, additional, Mendes, Bárbara B., additional, Mikos, Antonios G., additional, Mitchell, Richard N., additional, Mitra, Indranath, additional, Muirhead, Ben, additional, Munir, Khurram, additional, Murphy, William L., additional, Nguyen, Phong K., additional, Nolfi, Alexis L., additional, Overby, Clyde, additional, Ozan, Sertan, additional, Padera, Robert F., additional, Pearce, Hannah A., additional, Peppas, Nicholas A., additional, Pereira, Andreia T., additional, Pfeifer, Carmem S., additional, Pinto, Artur M., additional, Raia, Nicole R., additional, Rankin, Edward A., additional, Ratner, Buddy D., additional, Regi, Maria Vallet, additional, Reis, Rui L., additional, Ritchie, Alastair Campbell, additional, Sakiyama-Elbert, Shelly E., additional, Salhadar, Karim, additional, Salinas, Antonio J., additional, Schenke-Layland, Katja, additional, Schoen, Frederick J., additional, Schutrum, Brittany E., additional, Sefton, Michael V., additional, Seidman, Michael A., additional, Shah, Darshan S., additional, Sheardown, Heather, additional, Shoffstall, Andrew J., additional, Simon, Carl G., additional, Simon, Josh, additional, Sims Jr., Kenneth R., additional, Slack, Steven M., additional, Slavin, Benjamin, additional, Snodderly, Kirstie Lane, additional, Stayton, Patrick S., additional, Steichen, Stephanie D., additional, Stoodley, Paul, additional, Swanson, W. Benton, additional, Tam, Hobey, additional, Tayab, Aftab, additional, Thomas, Susan N., additional, Traxel, Kellen D., additional, Tuan, Rocky S., additional, Tucker, Erik I., additional, Ukita, Rei, additional, Veith, Austin, additional, Vidal Yucha, Sarah E., additional, Viney, Christopher, additional, Vyavahare, Naren, additional, Wagner, William R., additional, Wang, Min, additional, Wang, Raymond M., additional, Warner, Petra, additional, Wen, Cuie, additional, West, Jennifer L., additional, Whitman, Matthew A., additional, Witte, Frank, additional, Wolf, Michael F., additional, Yao, Zhicheng, additional, Yaszemski, Michael, additional, Yaszemski, Michael J., additional, Yin, Lichen, additional, Zhang, Guigen, additional, Zhang, Peng, additional, Zhong, Zhiyuan, additional, and Ziats, Nicholas P., additional

Published
2020
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17. Preface

Author

Wagner, William R., primary, Sakiyama-Elbert, Shelly E., additional, Zhang, Guigen, additional, Yaszemski, Michael J., additional, Ratner, Buddy D., additional, Hoffman, Allan S., additional, Schoen, Frederick J., additional, and Lemons, Jack E., additional

Published
2020
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19. Introduction to Biomaterials Science

Author

Ratner, Buddy D., primary, Hoffman, Allan S., additional, Schoen, Frederick J., additional, Lemons, Jack E., additional, Wagner, William R., additional, Sakiyama-Elbert, Shelly E., additional, Zhang, Guigen, additional, and Yaszemski, Michael J., additional

Published
2020
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21. Hemodynamic Environments from Opposing Sides of Human Aortic Valve Leaflets Evoke Distinct Endothelial Phenotypes In Vitro

Author

Weinberg, Eli J., Mack, Peter J., Schoen, Frederick J., García-Cardeña, Guillermo, and Kaazempur Mofrad, Mohammad R.

Subjects
Biomedicine, Biophysics and Biological Physics, Biomedical Engineering, Biomedicine general, Cardiology, Aortic valve, Calcific aortic stenosis, Endothelial mechanotransduction, Shear stress, Cell mechanics and mechanotransduction, Valvular disease
Abstract

The regulation of valvular endothelial phenotypes by the hemodynamic environments of the human aortic valve is poorly understood. The nodular lesions of calcific aortic stenosis (CAS) develop predominantly beneath the aortic surface of the valve leaflets in the valvular fibrosa layer. However, the mechanisms of this regional localization remain poorly characterized. In this study, we combine numerical simulation with in vitro experimentation to investigate the hypothesis that the previously documented differences between valve endothelial phenotypes are linked to distinct hemodynamic environments characteristic of these individual anatomical locations. A finite-element model of the aortic valve was created, describing the dynamic motion of the valve cusps and blood in the valve throughout the cardiac cycle. A fluid mesh with high resolution on the fluid boundary was used to allow accurate computation of the wall shear stresses. This model was used to compute two distinct shear stress waveforms, one for the ventricular surface and one for the aortic surface. These waveforms were then applied experimentally to cultured human endothelial cells and the expression of several pathophysiological relevant genes was assessed. Compared to endothelial cells subjected to shear stress waveforms representative of the aortic face, the endothelial cells subjected to the ventricular waveform showed significantly increased expression of the “atheroprotective” transcription factor Kruppel-like factor 2 (KLF2) and the matricellular protein Nephroblastoma overexpressed (NOV), and suppressed expression of chemokine Monocyte-chemotactic protein-1 (MCP-1). Our observations suggest that the difference in shear stress waveforms between the two sides of the aortic valve leaflet may contribute to the documented differential side-specific gene expression, and may be relevant for the development and progression of CAS and the potential role of endothelial mechanotransduction in this disease.

Published
2010

22. A computational model of aging and calcification in the aortic heart valve.

Author

Weinberg, Eli J, Schoen, Frederick J, and Mofrad, Mohammad RK

Subjects
Heart Valves, Aortic Valve, Humans, Aortic Valve Stenosis, Calcinosis, Disease Progression, Aging, Time Factors, Models, Anatomic, Computer Simulation, Software, Adult, Aged, Aged, 80 and over, Middle Aged, and over, Models, Anatomic, General Science & Technology
Abstract

The aortic heart valve undergoes geometric and mechanical changes over time. The cusps of a normal, healthy valve thicken and become less extensible over time. In the disease calcific aortic stenosis (CAS), calcified nodules progressively stiffen the cusps. The local mechanical changes in the cusps, due to either normal aging or pathological processes, affect overall function of the valve. In this paper, we propose a computational model for the aging aortic valve that connects local changes to overall valve function. We extend a previous model for the healthy valve to describe aging. To model normal/uncomplicated aging, leaflet thickness and extensibility are varied versus age according to experimental data. To model calcification, initial sites are defined and a simple growth law is assumed. The nodules then grow over time, so that the area of calcification increases from one model to the next model representing greater age. Overall valve function is recorded for each individual model to yield a single simulation of valve function over time. This simulation is the first theoretical tool to describe the temporal behavior of aortic valve calcification. The ability to better understand and predict disease progression will aid in design and timing of patient treatments for CAS.

Published
2009

23. Intracellular Proteomics and Extracellular Vesiculomics as a Metric of Disease Recapitulation in 3D Bioprinted Aortic Valve Arrays

Author

Clift, Cassandra L., primary, Blaser, Mark C., additional, Gerrits, Willem, additional, Turner, Mandy E., additional, Sonawane, Abhijeet R., additional, Pham, Tan, additional, Andresen, Jason L., additional, Fenton, Owen S., additional, Grolman, Joshua M., additional, Buffolo, Fabrizio, additional, Schoen, Frederick J., additional, Hjortnaes, Jesper, additional, Muehlschlegel, Jochen D., additional, Mooney, David J., additional, Aikawa, Masanori, additional, Singh, Sasha A., additional, Langer, Robert, additional, and Aikawa, Elena, additional

Published
2023
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36. Functional remodeling of an electrospun polydimethylsiloxane‐based polyether urethane external vein graft support device in an ovine model

Author

Massachusetts Institute of Technology. Institute for Medical Engineering & Science, El‐Kurdi, Mohammed, Soletti, Lorenzo, McGrath, Jonathan, Linhares, Stephen, Rousselle, Serge, Greisler, Howard, Edelman, Elazer R, Schoen, Frederick J, Massachusetts Institute of Technology. Institute for Medical Engineering & Science, El‐Kurdi, Mohammed, Soletti, Lorenzo, McGrath, Jonathan, Linhares, Stephen, Rousselle, Serge, Greisler, Howard, Edelman, Elazer R, and Schoen, Frederick J

Abstract

© 2019 Wiley Periodicals, Inc. Saphenous vein graft (SVG) failure rates are unacceptably high, and external mechanical support may improve patency. We studied the histologic remodeling of a conformal, electrospun, polydimethylsiloxane-based polyether urethane external support device for SVGs and evaluated graft structural evolution in adult sheep to 2 years. All sheep (N = 19) survived to their intended timepoints, and angiography showed device-treated SVG geometric stability over time (30, 90, 180, 365, or 730 days), with an aggregated graft patency rate of 92%. There was minimal inflammation associated with the device material at all timepoints. By 180 days, treated SVG remodeling was characterized by minimal/nonprogressive intimal hyperplasia; polymer fragmentation and integration; as well as the development of a neointima, and a confluent endothelium. By 1-year, the graft developed a media-like layer by remodeling the neointima, and elastic fibers formed well-defined structures that subtended the neo-medial layer of the remodeled SVG. Immunohistochemistry showed that this neo-media was populated with smooth muscle cells, and the intima was lined with endothelial cells. These data suggest that treated SVGs were structurally remodeled by 180 days, and developed arterial-like features by 1 year, which continued to mature to 2 years. Device-treated SVGs remodeled into arterial-like conduits with stable long-term performance as arterial grafts in adult sheep.

Published
2022

42. AECVP and SCVP 2009 Recommendations for Training in Cardiovascular Pathology

Author

Thiene, Gaetano, Veinot, John P., Angelini, Annalisa, Baandrup, Ulrik T., Basso, Cristina, Bruneval, Patrick, Buja, L. Maximilian, Butany, Jagdish, d’Amati, Giulia, de Gouveia, Rosa H., Fallon, John T., Fishbein, Michael C., Gallagher, Patrick J., Kholova, Ivana, Leone, Ornella, McManus, Bruce, Rodriguez, E. René, Schoen, Frederick J., Sheppard, Mary N., Stone, James R., van der Wal, Allard C., and Winters, Gayle L.

Published
2010
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48. Contributors

Author

Aikawa, Elena, primary, Arboleda-Velasquez, Joseph Fitzgerald, additional, Basso, Cristina, additional, Butany, Jagdish, additional, Calvert, John W., additional, Carturan, Elisa, additional, D’Amore, Patricia Anne, additional, Dyer, Laura A., additional, Ellinor, Patrick T., additional, Gupta, Pooja, additional, Halushka, Marc K., additional, Harvey, Pamela A., additional, Hund, Thomas J., additional, Ibrahim, Amar, additional, Jennette, J. Charles, additional, Leinwand, Leslie A., additional, Makara, Michael A., additional, Mitchell, Richard N., additional, Mohler, Peter J., additional, Moskowitz, Ivan, additional, Opie, Lionel, additional, Patterson, Cam, additional, Pendse, Avani, additional, Pulinilkunnil, Thomas, additional, Ranek, Mark, additional, Saini, Harsimran, additional, Schisler, Jonathan C., additional, Schmaier, Alvin H., additional, Schoen, Frederick J., additional, Seidman, Michael A., additional, Smith, Sakima A., additional, Stansfield, William E., additional, Stavrou, Evi X., additional, Stone, James R., additional, Tabtabai, Sara, additional, Thiene, Gaetano, additional, Touyz, Rhian M., additional, Wang, Shaobin, additional, and Willis, Monte S., additional

Published
2014
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