Department of Cardiac Sciences, Department of Physiology and Pharmacology, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, GAC66, Health Research Innovation Centre, 3280 Hospital Drive N.W., Calgary, Alberta, T2N 4Z6, Canada.
Laboratory of Cardiovascular Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Geroscience. 2024 Oct;46(5):5085-5101. doi: 10.1007/s11357-024-01267-0. Epub 2024 Jul 5.
Aging is a major risk factor for sinoatrial node (SAN) dysfunction, which can impair heart rate (HR) control and heart rate variability (HRV). HR and HRV are determined by intrinsic SAN function and its regulation by the autonomic nervous system (ANS). The purpose of this study was to use multi-scale multi-fractal detrended fluctuation analysis (MSMFDFA; a complexity-based approach to analyze multi-fractal dynamics) to longitudinally assess changes in multi-fractal HRV properties and SAN function in ECG time series recorded repeatedly across the full adult lifespan in mice. ECGs were recorded in anesthetized mice in baseline conditions and after autonomic nervous system blockade every three months beginning at 6 months of age until the end of life. MSMFDFA was used to assess HRV and SAN function every three months between 6 and 27 months of age. Intrinsic HR (i.e. HR during ANS blockade) remained relatively stable until 15 months of age, and then progressively declined until study endpoint at 27 months of age. MSMFDFA revealed sudden and rapid changes in multi-fractal properties of the ECG RR interval time series in aging mice. In particular, multi-fractal spectrum width (MFSW, a measure of multi-fractality) was relatively stable between 6 months and 15 months of age and then progressively increased at 27 months of age. These changes in MFSW were evident in baseline conditions and during ANS blockade. Thus, intrinsic SAN function declines progressively during aging and is manifested by age-associated changes in multi-fractal HRV across the lifespan in mice, which can be accurately quantified by MSMFDFA.
衰老 是窦房结 (SAN) 功能障碍的主要危险因素,可损害心率 (HR) 控制和心率变异性 (HRV)。HR 和 HRV 由内在的 SAN 功能及其对自主神经系统 (ANS) 的调节决定。本研究旨在使用多尺度多重分形去趋势波动分析 (MSMFDFA;一种分析多分形动力学的复杂性方法) 来纵向评估在整个成年期内反复记录的 ECG 时间序列中 SAN 功能和多分形 HRV 特性的变化。在 6 个月大时开始,每隔三个月在麻醉小鼠中记录基础状态下和自主神经系统阻断后的 ECG,直到生命结束。每隔三个月使用 MSMFDFA 评估 6 至 27 个月大时的 HRV 和 SAN 功能。内在 HR(即 ANS 阻断期间的 HR)在 15 个月大之前相对稳定,然后逐渐下降,直到 27 个月大的研究终点。MSMFDFA 揭示了衰老小鼠 ECG RR 间期时间序列的多分形特性的突然和快速变化。特别是,多分形谱宽(MFSW,多分形的一种度量)在 6 个月至 15 个月之间相对稳定,然后在 27 个月时逐渐增加。这些 MFSW 的变化在基础条件和 ANS 阻断期间都很明显。因此,内在 SAN 功能在衰老过程中逐渐下降,表现为与年龄相关的多分形 HRV 变化贯穿小鼠的整个生命周期,MSMFDFA 可以准确地对其进行量化。