journal article·2024-01-09Open access

Noninvasive Quantification of Contractile Dynamics in Cardiac Cells, Spheroids, and Organs-on-a-Chip Using High-Frequency Ultrasound

Eric M. Strohm, Neal I. Callaghan, Yu Ding, Neda Latifi, Naimeh Rafatian, Shunsuke Funakoshi, Ian Fernandes, Cristine J. Reitz, Michelle Di Paola, Anthony O. Gramolini, Milica Radisic, Gordon Keller, Michael C. Kolios, Craig A. Simmons

ACS Nano· Volume 18· Issue 1

Abstract

Cell-based models that mimic in vivo heart physiology are poised to make significant advances in cardiac disease modeling and drug discovery. In these systems, cardiomyocyte (CM) contractility is an important functional metric, but current measurement methods are inaccurate and low-throughput or require complex setups. To address this need, we developed a standalone noninvasive, label-free ultrasound technique operating at 40-200 MHz to measure the contractile kinetics of cardiac models, ranging from single adult CMs to 3D microtissue constructs in standard cell culture formats. The high temporal resolution of 1000 fps resolved the beat profile of single mouse CMs paced at up to 9 Hz, revealing limitations of lower speed optical based measurements to resolve beat kinetics or characterize aberrant beats. Coupling of ultrasound with traction force microscopy enabled the measurement of the CM longitudinal modulus and facile estimation of adult mouse CM contractile forces of 2.34 ± 1.40 μN, comparable to more complex measurement techniques. Similarly, the beat rate, rhythm, and drug responses of CM spheroid and microtissue models were measured, including in configurations without optical access. In conclusion, ultrasound can be used for the rapid characterization of CM contractile function in a wide range of commonly studied configurations ranging from single cells to 3D tissue constructs using standard well plates and custom microdevices, with applications in cardiac drug discovery and cardiotoxicity evaluation.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Tissue Engineering and Regenerative Medicine · 3D Printing in Biomedical Research · Microfluidic and Bio-sensing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, M5S 3G8, Canada

Translational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, M5G 1M1, Canada

Institute of Biomedical Engineering, University of Toronto, Toronto, M5S 3G9, Canada

Toronto General Hospital Research Institute, Toronto, M5G 2C4, Canada

McEwen Stem Cell Institute, University Health Network, Toronto, M5G 1L7, Canada

Department of Physiology, University of Toronto, Toronto, M5S 1A8, Canada

Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, M5S 3E5, Canada

Department of Medical Biophysics, University of Toronto, Toronto, M5G 1L7, Canada

Department of Physics, Toronto Metropolitan University, Toronto, M5B 2K3, Canada

Funding

Canadian Institutes of Health Research · University of Toronto · Canada First Research Excellence Fund · Natural Sciences and Engineering Research Council of Canada · Government of Ontario · Fonds de recherche du Qu?bec - Nature et technologie

References (72)

Show source-provided references
1. 10.1146/annurev-pathol-012414-04041810.1146/annurev-pathol-012414-040418 ↗
2. 10.1016/j.bbamcr.2015.11.03610.1016/j.bbamcr.2015.11.036 ↗
3. 10.1016/j.stem.2018.02.01110.1016/j.stem.2018.02.011 ↗
4. 10.1038/s41578-018-0034-710.1038/s41578-018-0034-7 ↗
5. 10.1021/acscentsci.9b0005210.1021/acscentsci.9b00052 ↗
6. 10.1016/j.matbio.2019.04.00110.1016/j.matbio.2019.04.001 ↗
7. 10.1161/CIRCRESAHA.110.22751210.1161/CIRCRESAHA.110.227512 ↗
8. 10.1016/j.addr.2015.09.01010.1016/j.addr.2015.09.010 ↗
9. 10.1016/j.bbamcr.2016.03.00310.1016/j.bbamcr.2016.03.003 ↗
10. 10.1016/j.biomaterials.2018.09.03610.1016/j.biomaterials.2018.09.036 ↗
11. 10.1016/j.jala.2011.09.00210.1016/j.jala.2011.09.002 ↗
12. 10.1371/journal.pone.003755910.1371/journal.pone.0037559 ↗
13. 10.1529/biophysj.107.11576610.1529/biophysj.107.115766 ↗
14. 10.1016/j.ymeth.2015.09.00510.1016/j.ymeth.2015.09.005 ↗
15. 10.1049/mnl.2011.003110.1049/mnl.2011.0031 ↗
16. 10.1115/1.402714510.1115/1.4027145 ↗
17. 10.1016/j.vascn.2012.04.00110.1016/j.vascn.2012.04.001 ↗
18. 10.1126/science.114688510.1126/science.1146885 ↗
19. 10.1016/j.stemcr.2014.01.01510.1016/j.stemcr.2014.01.015 ↗
20. Hume, S. Development of a Novel Device for High-throughput Screening of Cell Contraction. Master’s Thesis, University of Toronto. 2014.
21. 10.1016/j.yjmcc.2014.11.00310.1016/j.yjmcc.2014.11.003 ↗
22. 10.1073/pnas.110637710910.1073/pnas.1106377109 ↗
23. 10.1039/c2lc40670e10.1039/c2lc40670e ↗
24. 10.1089/ten.tec.2017.019010.1089/ten.tec.2017.0190 ↗
25. 10.1161/hh0202.10364410.1161/hh0202.103644 ↗
26. 10.1161/CIRCRESAHA.109.21145810.1161/CIRCRESAHA.109.211458 ↗
27. 10.1089/ten.tea.2011.034110.1089/ten.tea.2011.0341 ↗
28. 10.1038/nmeth.252410.1038/nmeth.2524 ↗
29. 10.1097/01.CCM.0000270240.97375.DE10.1097/01.CCM.0000270240.97375.DE ↗
30. 10.7863/jum.2004.23.1.110.7863/jum.2004.23.1.1 ↗
31. 10.1016/j.echo.2011.02.01710.1016/j.echo.2011.02.017 ↗
32. 10.1016/j.matbio.2019.04.00110.1016/j.matbio.2019.04.001 ↗
33. 10.1016/0002-8703(92)90423-S10.1016/0002-8703(92)90423-S ↗
34. 10.1016/S0301-5629(96)00174-310.1016/S0301-5629(96)00174-3 ↗
35. 10.1016/S0301-5629(99)00091-510.1016/S0301-5629(99)00091-5 ↗
36. 10.1038/s41467-021-23329-z10.1038/s41467-021-23329-z ↗
37. 10.1161/CIRCRESAHA.116.30920210.1161/CIRCRESAHA.116.309202 ↗
38. 10.1073/pnas.150807311210.1073/pnas.1508073112 ↗
39. Cordelires, F. Manual Tracking. https://imagej.nih.gov/ij/plugins/manual-tracking.html (accessed 2020–09–04).
40. 10.1152/ajpheart.00515.201010.1152/ajpheart.00515.2010 ↗
41. 10.1161/CIRCRESAHA.118.31450510.1161/CIRCRESAHA.118.314505 ↗
42. 10.1039/D0LC00546K10.1039/D0LC00546K ↗
43. 10.1371/journal.pone.019470610.1371/journal.pone.0194706 ↗
44. 10.3390/biomedicines1003064010.3390/biomedicines10030640 ↗
45. 10.1152/ajpheart.00799.201310.1152/ajpheart.00799.2013 ↗
46. 10.1039/c2lc40201g10.1039/c2lc40201g ↗
47. 10.1038/s41467-020-18000-y10.1038/s41467-020-18000-y ↗
48. 10.1038/s41598-017-14572-w10.1038/s41598-017-14572-w ↗
49. 10.1007/s10439-017-1863-z10.1007/s10439-017-1863-z ↗
50. 10.1161/01.RES.0000197785.51819.e810.1161/01.RES.0000197785.51819.e8 ↗
51. 10.1039/C8SM01708E10.1039/C8SM01708E ↗
52. 10.1038/s41598-019-42077-110.1038/s41598-019-42077-1 ↗
53. 10.1371/journal.pone.007549210.1371/journal.pone.0075492 ↗
54. 10.1016/j.bpj.2018.09.01910.1016/j.bpj.2018.09.019 ↗
55. 10.1073/pnas.110637710910.1073/pnas.1106377109 ↗
56. Traction Force Microscopy - ImageJ. plugins by Qingzong TSENG. https://sites.google.com/site/qingzongtseng/tfm (accessed 2018–10–14).
57. 10.1038/s42003-020-0946-910.1038/s42003-020-0946-9 ↗
58. 10.1109/10.94258910.1109/10.942589 ↗
59. 10.1152/ajpheart.00948.200310.1152/ajpheart.00948.2003 ↗
60. 10.1152/ajpheart.00909.200610.1152/ajpheart.00909.2006 ↗
61. 10.1529/biophysj.104.04815710.1529/biophysj.104.048157 ↗
62. 10.1109/TMI.2018.282015710.1109/TMI.2018.2820157 ↗
63. 10.1016/j.biomaterials.2018.05.05710.1016/j.biomaterials.2018.05.057 ↗
64. 10.1016/j.biomaterials.2021.12067610.1016/j.biomaterials.2021.120676 ↗
65. 10.1016/j.cell.2018.11.04210.1016/j.cell.2018.11.042 ↗
66. 10.1098/rsif.2014.107410.1098/rsif.2014.1074 ↗
67. 10.1016/j.actbio.2022.12.01410.1016/j.actbio.2022.12.014 ↗
68. 10.1016/j.biomaterials.2016.09.02410.1016/j.biomaterials.2016.09.024 ↗
69. 10.1073/pnas.120025010910.1073/pnas.1200250109 ↗
70. 10.1038/nprot.2012.15010.1038/nprot.2012.150 ↗
71. 10.1016/j.stem.2010.12.00810.1016/j.stem.2010.12.008 ↗
72. 10.1002/0471142727.mb1420s9210.1002/0471142727.mb1420s92 ↗