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Tytuł pozycji:

Biological pacemaker: from biological experiments to computational simulation.

Tytuł:
Biological pacemaker: from biological experiments to computational simulation.
Autorzy:
Li Y; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Wang K; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Li Q; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.; Peng Cheng Laboratory, Shenzhen 518052, China.
Zhang H; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.; School of Physics and Astronomy, The University of Manchester, Manchester, M13 9PL, UK.; Peng Cheng Laboratory, Shenzhen 518052, China.
Źródło:
Journal of Zhejiang University. Science. B [J Zhejiang Univ Sci B] 2020 Jul; Vol. 21 (7), pp. 524-536.
Typ publikacji:
Journal Article; Review
Język:
English
Imprint Name(s):
Original Publication: Hangzhou, China : Zhejiang University Press, 2005-
MeSH Terms:
Biological Clocks*
Computer Simulation*
Cell- and Tissue-Based Therapy ; Genetic Therapy ; Humans
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Contributed Indexing:
Keywords: Biological pacemaker; Gene therapy; Cell therapy; Cardiac simulation; Computational modeling
Entry Date(s):
Date Created: 20200708 Date Completed: 20210611 Latest Revision: 20210611
Update Code:
20240105
PubMed Central ID:
PMC7383327
DOI:
10.1631/jzus.B1900632
PMID:
32633107
Czasopismo naukowe
Pacemaking dysfunction has become a significant disease that may contribute to heart rhythm disorders, syncope, and even death. Up to now, the best way to treat it is to implant electronic pacemakers. However, these have many disadvantages such as limited battery life, infection, and fixed pacing rate. There is an urgent need for a biological pacemaker (bio-pacemaker). This is expected to replace electronic devices because of its low risk of complications and the ability to respond to emotion. Here we survey the contemporary development of the bio-pacemaker by both experimental and computational approaches. The former mainly includes gene therapy and cell therapy, whilst the latter involves the use of multi-scale computer models of the heart, ranging from the single cell to the tissue slice. Up to now, a bio-pacemaker has been successfully applied in big mammals, but it still has a long way from clinical uses for the treatment of human heart diseases. It is hoped that the use of the computational model of a bio-pacemaker may accelerate this process. Finally, we propose potential research directions for generating a bio-pacemaker based on cardiac computational modeling.

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