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Passive Stretch Induces Structural and Functional Maturation of Engineered Heart Muscle as Predicted by Computational Modeling

Published on Feb 1, 2018in Stem Cells5.61
· DOI :10.1002/stem.2732
Oscar J. Abilez24
Estimated H-index: 24
,
Evangeline Tzatzalos4
Estimated H-index: 4
(Stanford University)
+ 18 AuthorsJoseph C. Wu87
Estimated H-index: 87
Abstract
Background: The ability to differentiate human pluripotent stem cells (hPSCs) into cardiomyocytes (CMs) makes them an attractive source for repairing injured myocardium, disease modeling, and drug testing. Although current differentiation protocols yield hPSC-CMs to >90% efficiency, hPSC-CMs exhibit immature characteristics. With the goal of overcoming this limitation, we tested the effects of varying passive stretch on engineered heart muscle (EHM) structural and functional maturation, guided by computational modeling. Methods and Results: Human embryonic stem cells (hESCs, H7 line) or human induced pluripotent stem cells (hiPSCs, IMR-90 line) were differentiated to human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) in vitro using a small molecule based protocol. hPSC-CMs were characterized by troponin+ flow cytometry as well as electrophysiological measurements. Afterwards, 1.2 x 106 hPSC-CMs were mixed with 0.4 x 106 human fibroblasts (IMR-90 line) (3:1 ratio) and Type-I collagen. The blend was cast into custom-made 12-mm long polydimethylsiloxane (PDMS) reservoirs to vary nominal passive stretch of EHMs to 5, 7, or 9 mm. EHM characteristics were monitored for up to 50 days, with EHMs having a passive stretch of 7 mm giving the most consistent formation. Based on our initial macroscopic observations of EHM formation, we created a computational model that predicts the stress distribution throughout EHMs, which is a function of cellular composition, cellular ratio, and geometry. Based on this predictive modeling, we show cell alignment by immunohistochemistry and coordinated calcium waves by calcium imaging. Furthermore, coordinated calcium waves and mechanical contractions were apparent throughout entire EHMs. The stiffness and active forces of hPSC-derived EHMs are comparable to rat neonatal cardiomyocyte-derived EHMs. Three-dimensional EHMs display increased expression of mature cardiomyocyte genes including sarcomeric protein troponin-T, calcium and potassium ion channels, β-adrenergic receptors, and t-tubule protein caveolin-3. Conclusions: Passive stretch affects the structural and functional maturation of EHMs. Based on our predictive computational modeling, we show how to optimize cell alignment and calcium dynamics within EHMs. These findings provide a basis for the rational design of EHMs, which enables future scale-up productions for clinical use in cardiovascular tissue engineering. This article is protected by copyright. All rights reserved.
  • References (63)
  • Citations (13)
References63
Newest
#1Nathaniel Huebsch (UCSF: University of California, San Francisco)H-Index: 24
#2Peter Loskill (University of California, Berkeley)H-Index: 16
Last.Anurag Mathur (University of California, Berkeley)H-Index: 14
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#1Christopher J. Kane (NIH: National Institutes of Health)H-Index: 56
#2Liam Couch (NIH: National Institutes of Health)H-Index: 3
Last.Cesare M. Terracciano (NIH: National Institutes of Health)H-Index: 33
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#1Lei Ye (UMN: University of Minnesota)H-Index: 11
#2Ying Hua Chang (UW: University of Wisconsin-Madison)H-Index: 2
Last.Jacqueline S. Wendel (UMN: University of Minnesota)H-Index: 4
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#1Paul W. Burridge (Stanford University)H-Index: 24
#2Elena Matsa (Stanford University)H-Index: 19
Last.Nicholas M. Mordwinkin (Stanford University)H-Index: 13
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#1Nicole Silbernagel (Heidelberg University)
#2Arlene Körner (Heidelberg University)
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#1Mitch Biermann (UW: University of Wisconsin-Madison)H-Index: 2
#2Wenxuan Cai (UW: University of Wisconsin-Madison)H-Index: 8
Last.Adriana M. Rodriguez (UW: University of Wisconsin-Madison)H-Index: 3
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#1R. Grant Rowe (Boston Children's Hospital)H-Index: 17
#2R. Grant Rowe (Boston Children's Hospital)
Last.George Q. Daley (Boston Children's Hospital)H-Index: 106
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#1F. Sahli Costabal (Stanford University)H-Index: 1
#2Jenny Susana ChoyH-Index: 13
Last.Ellen Kuhl (Stanford University)H-Index: 45
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#1Tim Meyer (GAU: University of Göttingen)H-Index: 13
#2Malte Tiburcy (GAU: University of Göttingen)H-Index: 17
Last.Wolfram-Hubertus Zimmermann (GAU: University of Göttingen)H-Index: 31
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