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虚拟生理心脏模型及房颤机制研究进展
引用本文:罗存金,游婷婷,刘彤,赫颖,王宽全,张恒贵.虚拟生理心脏模型及房颤机制研究进展[J].生物化学与生物物理进展,2019,46(10):976-992.
作者姓名:罗存金  游婷婷  刘彤  赫颖  王宽全  张恒贵
作者单位:西南医科大学心血管医学研究所,医学电生理学教育部重点实验室,泸州 646000;东北大学计算机科学与工程学院,医学影像智能计算教育部重点实验室,沈阳 110004,西南医科大学心血管医学研究所,医学电生理学教育部重点实验室,泸州 646000,天津医科大学第二医院心脏科,天津 300070,School of Computer Science and Informatics,De Montfort University,Leicester LE1 9BF,UK,哈尔滨工业大学计算机科学与技术学院,哈尔滨 150001,西南医科大学心血管医学研究所,医学电生理学教育部重点实验室,泸州 646000;哈尔滨工业大学计算机科学与技术学院,哈尔滨 150001;School of Physics and Astronomy,The University of Manchester,Manchester M13 9PL,UK
基金项目:国家自然科学基金资助项目(61803318).
摘    要:房颤是临床上最常见的持续性心律失常.揭示房颤的发病机制和病理生理过程是其诊断、预防、治疗、药物研发及临床设备设计的关键,而实验和临床只能呈现细胞或亚细胞的局部特性及房颤病症的宏观结果.随着生物信息技术、统计分析技术等的发展,运用多物理尺度的虚拟生理心脏模型,来实现宏观结果与微观机制相统一的研究方法备受关注.本文综述了离子通道、心肌细胞、心脏组织及器官等多尺度的虚拟生理心脏模型研究进展,探讨了近年来基于虚拟生理心脏模型的房颤机制研究以及房颤的治疗手段,提示了房颤研究的挑战和未来的发展方向.

关 键 词:心律失常  房颤  虚拟心脏  计算机仿真  计算生物学
收稿时间:2019/2/20 0:00:00
修稿时间:2019/8/3 0:00:00

Virtual Electrophysiological Heart Model and Atrial Fibrillation:a Review
LUO Cun-Jin,YOU Ting-Ting,LIU Tong,HE Ying,WANG Kuan-Quan and ZHANG Heng-Gui.Virtual Electrophysiological Heart Model and Atrial Fibrillation:a Review[J].Progress In Biochemistry and Biophysics,2019,46(10):976-992.
Authors:LUO Cun-Jin  YOU Ting-Ting  LIU Tong  HE Ying  WANG Kuan-Quan and ZHANG Heng-Gui
Institution:Institute of Cardiovascular Research, Key Laboratory of Medical Electrophysiology, Ministry of Education, Southwest Medical University, Luzhou 646000, China; School of Computer Science and Engineering, Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang 110004, China,Institute of Cardiovascular Research, Key Laboratory of Medical Electrophysiology, Ministry of Education, Southwest Medical University, Luzhou 646000, China,Cardiology Department, Second Hospital of Tianjin Medical University, Tianjin 300070, China,School of Computer Science and Informatics,De Montfort University,Leicester LE1 9BF,UK,School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China,Institute of Cardiovascular Research, Key Laboratory of Medical Electrophysiology, Ministry of Education, Southwest Medical University, Luzhou 646000, China; 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
Abstract:Atrial fibrillation (AF) is a typical persistent arrhythmia, and revealing its pathogenesis and pathophysiological process is the key to AF diagnosis, prevention, and treatment. It also assists AF drug development and clinical equipment design. Experimental and clinical results can only show the local characteristics of cells or sub-cells and the macroscopic results of atrial fibrillation. However, with the development of bioinformatics acquisition technology and statistical analysis technology, using multi-scale virtual heart model to achieve the unity of macro-and micro-mechanism has attracted the attention of the research community. In this paper, we systematically reviewed the advances in virtual heart modeling at various levels, such as ion channels, cardiac cells, heart tissues and organs, and discussed the mechanisms of atrial fibrillation based on virtual heart models and the treatment of atrial fibrillation. This paper also presents the challenges and future development of atrial fibrillation.
Keywords:arrhythmia  atrial fibrillation  virtual heart  computer simulation  computational biology
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