基于多尺度计算心脏模型的QT综合征发病机制的研究
结题报告
批准号:
62001141
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
王玮
依托单位:
学科分类:
生物电子学与生物信息处理
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
王玮
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中文摘要
心血管疾病是全球头号死因,尽管医疗技术快速发展,人们对心血管疾病的产生机制仍然缺乏深层次的理解,使得现阶段心血管疾病的防治效果并不理想。QT综合征(QTS)是一组易发生室速、室颤及心源性猝死的心电失调临床综合征,也是一类心肌离子通道病的典型代表。为了更深入的研究目前生物医学实验学科无法有效解释的QTS诱发心律失常的原理,本课题希望融合计算机、医学和生物学的最新理论和技术,来开展基于多尺度计算心脏模型的QTS发病机制的研究。通过利用生物实验和临床数据,来建立从离子通道到心肌细胞、心肌组织至心脏器官的多尺度计算心脏模型;通过模型假设分析,来理解离子通道病变对不同层级心脏指标和功能的影响;通过实验仿真,来再现微观蛋白质变化到宏观心律不齐的全过程,与临床心电图等实验数据分析对比,深入理解QTS的发病机制,完善心肌离子通道病的知识体系,为QTS相关心肌疾病的药物筛选和临床治疗提供有效的理论依据。
英文摘要
Cardiovascular disease is the leading cause of death globally. Although medical technology has developed rapidly, many mechanisms underlying cardiovascular disease are still unravelled, which leads to unsatisfactory diagnosis and treatment. The QT syndrome (QTS) shows irregular QT intervals clinically, which can result in ventricular tachycardia, ventricular arrhythmia or even sudden cardiac death. In addition, it is also a typical kind of heart diseases which originate from pathological ion channels. In this project, we will use a multiscale cardiac computational model for investigating the arrhythmogenic mechanism underlying the QTS, by applying the newest knowledge and technology of computer science、medical science and biology. We will first construct the multiscale cardiac model from ion channels to the cardiac myocute、cardiac tissue and the heart based on experimental data. Then we will model and analyse many cardiac targets such as APD、ERP and VW between the wildtype and pathological conditions, for understanding how the pathological ion channels influence the whole heart at each level. Furthermore, we can represent the whole progress from microcosmic protein changes to macroscopic cardiac arrhythmia by multiscale simulations. This research will lead to a better understanding of the arrhythmogenic mechanism of the QTS and provide the theoretical basis for the drug selection and clinal treatment of QTS related disease.
期刊论文列表
专著列表
科研奖励列表
会议论文列表
专利列表
DOI:10.1049/cit2.12155
发表时间:2023-01-24
期刊:CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY
影响因子:5.1
作者:Luo, Xiaoling;Wang, Wei;Zhang, David
通讯作者:Zhang, David
DOI:10.1016/j.media.2023.102911
发表时间:2023-07
期刊:Medical image analysis
影响因子:10.9
作者:Xiangyu Li;Gongning Luo;Wei Wang;Kuanquan Wang;Shuo Li
通讯作者:Xiangyu Li;Gongning Luo;Wei Wang;Kuanquan Wang;Shuo Li
DOI:10.1109/jtehm.2023.3329031
发表时间:2024
期刊:IEEE journal of translational engineering in health and medicine
影响因子:3.4
作者:
通讯作者:
DOI:10.1371/journal.pcbi.1009388
发表时间:2022-04
期刊:PLoS computational biology
影响因子:4.3
作者:
通讯作者:
DOI:10.1002/mp.15670
发表时间:2022
期刊:Medical Physics
影响因子:--
作者:Yashu Liu;Wei Wang;Gongning Luo;Kuanquan Wang;Dong Liang;Shuo Li
通讯作者:Shuo Li
国内基金
海外基金