南方医科大学学报 ›› 2024, Vol. 44 ›› Issue (10): 1985-1994.doi: 10.12122/j.issn.1673-4254.2024.10.17

• • 上一篇    

基于特征化定量心电图策略分析小鼠心脏电生理固有稳态制式

成思怡1,2,3,4(), 陈泽锐1,2,3,4, 于长江1,2,3,4, 孙图成1,2,3,4, 朱烁基1,2,3,4(), 刘南波1,2,3,4(), 朱平1,2,3,4()   

  1. 1.华南理工大学医学院,广东 广州 510006
    2.南方医科大学附属广东省人民医院//广东省医学科学院,广东 广州 510180
    3.广东省心脏病发病机制与精准防治重点实验室,广东 广州 510180
    4.广州市心脏病发病机制与防治重点实验室,广东 广州 510180
  • 收稿日期:2024-04-25 出版日期:2024-10-20 发布日期:2024-10-31
  • 通讯作者: 朱烁基,刘南波,朱平 E-mail:debarah17@foxmail.com;zhushuoji@gmail.com;liu.nanbo@163.com;tanganqier@163.com
  • 作者简介:成思怡,在读硕士研究生,E-mail: debarah17@foxmail.com
  • 基金资助:
    国家自然科学基金青年科学基金(82100275);广东省基础与应用基础研究重大项目(2023B0303000005);广州市科技计划项目(202201000006)

Intrinsic steady-state pattern of mouse cardiac electrophysiology: analysis using a characterized quantitative electrocardiogram strategy

Siyi CHENG1,2,3,4(), Zerui CHEN1,2,3,4, Changjiang YU1,2,3,4, Tucheng SUN1,2,3,4, Shuoji ZHU1,2,3,4(), Nanbo LIU1,2,3,4(), Ping ZHU1,2,3,4()   

  1. 1.School of Medicine, South China University of Technology, Guangzhou 510006, China
    2.Guangdong Provincial People's Hospital Affiliated to Southern Medical University, Guangzhou 510180, China
    3.Guangdong Provincial Key Laboratory of Pathogenesis, Targeted Prevention and Treatment of Heart Disease, Guangzhou 510180, China
    4.Guangzhou Key Laboratory of Cardiac Pathogenesis and Prevention, Guangzhou 510180, China
  • Received:2024-04-25 Online:2024-10-20 Published:2024-10-31
  • Contact: Shuoji ZHU, Nanbo LIU, Ping ZHU E-mail:debarah17@foxmail.com;zhushuoji@gmail.com;liu.nanbo@163.com;tanganqier@163.com
  • Supported by:
    National Natural Science Foundation of China Youth Science Foundation(82100275)

摘要:

目的 高分辨定量剖析生理状态下小鼠心脏电生理本底稳态属性。 方法 随机选取成年C57BL/6小鼠22只(雌雄1∶1),采用无麻醉法固定小鼠四肢,自主呼吸下通过灵敏十二导联电生理采集器(ECGsqa)记录心电波形,包括小鼠特征性P波、R波及ST波,应用LabScribe软件读取与量化心前区V3导联上单一心动周期内高分辨时程参数与振幅参数,使用独立样本t检验比较组间差异,联合皮尔逊相关检验与简单线性回归绘制雌雄心电参数拟合散点图,按相关性强弱区分共享与独特关联对参数,从而揭示定量关联网络概貌。 结果 ECGsqa分析共识别与量化14个特征型心电参数,28.6%的组间差异具有统计学意义。与雄组相比,雌组R波与ST波的振幅与速率均更高(P<0.05)。在初级关联分析所鉴定的51个关联对中,关联阳性群占比为47.1%,其中涵盖雌雄共有(29.2%)、雄特有(29.2%)与雌特有(41.7%)三大关联组。关联对二阶聚类分析发现,雌雄心脏各波形电压的振幅-速率关联对处于普遍稳定强相关水平(P<0.01),而雄组心电特征展现出房-室互联模式,以及雌组心电特征展现独特心房电导系统质量依赖模式。关联群组分布网络特征显示,雌雄各自特有关联参数与共有关联参数之间具有一定程度串联模式。 结论 本研究聚焦雌雄小鼠天然心脏电信号的可被精确识别的数理特征,发现心电波重要特征参数的内在关联网络,揭示心房与心室电传导系统内部联结特征及其性别差异性,可为心血管生理与病理的纵深机制探索提供潜在适用的电稳态制式参照。

关键词: 心脏电生理, 定量心电策略, P波, R波, ST波

Abstract:

Objective To explore the intrinsic steady-state electrophysiological properties of mouse heart under physiological conditions by high-resolution quantitative analysis. Methods Twenty-two young adult C57BL/6 mice with a 1:1 male-to-female ratio were used. The limbs of the mice were fixed without anesthesia, and electrocardiographic waveforms, including characteristic P-waves, R-waves, and ST-waves, were recorded using a sensitive 12-lead electrophysiological recorder (ECGsqa) under spontaneous breathing. LabScribe software was used to extract and quantify high-resolution time course and amplitude parameters within a single cardiac cycle from the V3 precordial lead. Pearson correlation test combined with simple linear regression was used to generate a scatter plot of ECG parameter fitting. The common and unique correlation parameters were separately identified by joint associations for profiling the quantitative association network. Results ECGsqa analysis identified and quantified 14 characteristic ECG parameters, 28.6% of which showed statistical differences between the groups. Compared to male mice, female mice exhibited higher amplitudes and velocities of R and ST waves. Among the 51 association pairs identified in primary association analysis, 47.1% were positively correlated, including shared (29.2%), male-specific (29.2%), and female-specific (41.7%) association groups. Second-order clustering of the association pairs revealed that the amplitude-rate association pairs of each waveform voltage in both male and female mouse hearts were strongly correlated. The male mice showed an atrioventricular interconnection pattern, while the female mice showed a unique atrial conduction system quality dependence. The distribution network characteristics of the association groups showed that sex-specific and common correlation sets formed a certain series pattern. Conclusion We discovered a novel intrinsic correlation network of cardiac electrophysiological traits in male and female mice, which reveals the key internal quantitative characteristics and gender difference of both atrial and ventricular conduction systems.

Key words: cardiac electrophysiology, quantitative ECG strategy, P wave, R wave, ST wave