Abstract
The use of human embryonic stem cell cardiomyocytes (hESC-CMs) in tissue transplantation and repair has led to major recent advances in cardiac regenerative medicine. However, to avoid potential arrhythmias, it is critical that hESC-CMs used in replacement therapy be electrophysiologically compatible with the adult atrial, ventricular, and nodal phenotypes. The current method for classifying the electrophysiology of hESC-CMs relies mainly on the shape of the cell’s action potential (AP), which each expert subjectively decides if it is nodal-like, atrial-like or ventricular-like. However, the classification is difficult because the shape of the AP of an hESC-CMs may not coincide with that of a mature cell. In this paper, we propose to use a metamorphosis distance for comparing the AP of an hESC-CMs to that of an adult cell model. This involves constructing a family of APs corresponding to different stages of the maturation process, and measuring the amount of deformation between APs. Experiments show that the proposed distance leads to better interpolation and classification results.
Chapter PDF
Similar content being viewed by others
Keywords
- Human Embryonic Stem Cell
- Dynamic Time Warping
- Atrial Cell
- Riemannian Distance
- Human Induce Pluripotent Stem Cell
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Kehat, I., Kenyagin-Karsenti, D., Snir, M., Segev, H., Amit, M., Gepstein, A., Livne, E., Binah, O., Itskovitz-Eldor, J., Gepstein, L.: Human embryonic stem cells can differentiate into myocytes with structural and functional properties of cardiomyocytes. Journal of Clinical Investigation 108(3), 407–414 (2001)
Burridge, P.W., Thompson, S., Millrod, M.A., Weinberg, S., Yuan, X., Peters, A., Mahairaki, V., Koliatsos, V.E., Tung, L., Zambidis, E.T.: A universal system for highly efficient cardiac differentiation of human induced pluripotent stem cells that eliminates interline variability. PloS One 6(4) (2011)
Asp, J., Steel, D., Jonsson, M., Améen, C., Dahlenborg, K., Jeppsson, A., Lindahl, A., Sartipy, P.: Cardiomyocyte clusters derived from human embryonic stem cells share similarities with human heart tissue. Journal of Molecular Cell Biology 2(5), 276–283 (2010)
Laflamme, M.A., Chen, K.Y., Naumova, A.V., Muskheli, V., Fugate, J.A., Dupras, S.K., Reinecke, H., Xu, C., Hassanipour, M., Police, S., O’Sullivan, C., Collins, L., Chen, Y., Minami, E., Gill, E.A., Ueno, S., Yuan, C., Gold, J., Murry, C.E.: Cardiomyocytes derived from human embryonic stem cells in pro-survival factors enhance function of infarcted rat hearts. Nature Biotechnology 25(9), 1015–1024 (2007)
Zhang, Q., Jiang, J., Han, P., Yuan, Q., Zhang, J., Zhang, X., Xu, Y., Cao, H., Meng, Q., Chen, L., Tian, T., Wang, X., Li, P., Hescheler, J., Ji, G., Ma, Y.: Direct differentiation of atrial and ventricular myocytes from human embryonic stem cells by alternating retinoid signals. Cell Research 21(4), 579–587 (2011)
He, J.Q., Ma, Y., Lee, Y., Thomson, J.A., Kamp, T.J.: Human embryonic stem cells develop into multiple types of cardiac myocytes: action potential characterization. Circulation Research 93(1), 32–39 (2003)
Moore, J.C., Fu, J., Chan, Y.C., Lin, D., Tran, H., Tse, H.F., Li, R.A.: Distinct cardiogenic preferences of two human embryonic stem cell (hESC) lines are imprinted in their proteomes in the pluripotent state. Biochemical and Biophysical Research Communications 372(4), 553–558 (2008)
Fu, J.D., Rushing, S., Lieu, D., Chan, C., Kong, C.W., Geng, L., Wilson, K., Chiamvimonvat, N., Boheler, K., Wu, J., Keller, G., Hajjar, R., Li, R.: Distinct roles of microRNA-1 and -499 in ventricular specification and functional maturation of human embryonic stem cell-derived cardiomyocytes. PloS One 6(11) (2011)
McGill, K.: Optimal resolution of superimposed action potentials. IEEE Transactions on Biomedical Engineering 49(7), 640–650 (2002)
Syeda-Mahmood, T., Beymer, D., Wang, F.: Shape-based matching of ECG recordings. International Conference of the IEEE Engineering in Medicine and Biology Society 2007, 2012–2018 (2007)
Raghavendra, B.: Cardiac arrhythmia detection using dynamic time warping of ECG beats in e-healthcare systems. In: World of Wireless, Mobile and Multimedia Networks, pp. 1–6 (2011)
Younes, L.: Shapes and Diffeomorphisms. Springer (2010)
Trouvé, A., Younes, L.: Metamorphoses Through Lie Group Action. Foundations of Computational Mathematics 5(2), 173–198 (2005)
Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. on Acoustics, Speech, and Signal Processing 26(1), 43–49 (1978)
Piccioni, M., Scarlatti, S., Trouvé, A.: A variational problem arising from speech recognition. SIAM Journal on Applied Mathematics 58(3), 753–771 (1998)
Garcin, L., Younes, L.: Geodesic image matching: A wavelet based energy minimization scheme. Energy Minimization Methods in Comp. Vision and Pattern Recog., 349–364 (2005)
O’Hara, T., Virág, L., Varró, A., Rudy, Y.: Simulation of the undiseased human cardiac ventricular action potential: model formulation and experimental validation. PLoS Computational Biology 7(5) (2011)
Nygren, A., Fiset, C., Firek, L., Clark, J., Lindblad, D., Clark, R., Giles, W.: Mathematical model of an adult human atrial cell: The role of K+ currents in repolarization. Circulation Research 82(1), 63–81 (1998)
Iravanian, S., Tung, L.: A novel algorithm for cardiac biosignal filtering based on filtered residue method. IEEE Transactions on Biomedical Engineering 49(11), 1310–1317 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gorospe, G., Younes, L., Tung, L., Vidal, R. (2013). A Metamorphosis Distance for Embryonic Cardiac Action Potential Interpolation and Classification. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. MICCAI 2013. Lecture Notes in Computer Science, vol 8149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40811-3_59
Download citation
DOI: https://doi.org/10.1007/978-3-642-40811-3_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40810-6
Online ISBN: 978-3-642-40811-3
eBook Packages: Computer ScienceComputer Science (R0)