High-resolution vasomotion analysis reveals novel arteriole physiological features and progressive modulation of cerebral vascular networks by stroke.

IF 4.9 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Journal of Cerebral Blood Flow and Metabolism Pub Date : 2024-11-01 Epub Date: 2024-05-31 DOI:10.1177/0271678X241258576
Yi-Yi Zhang, Jin-Ze Li, Hui-Qi Xie, Yu-Xiao Jin, Wen-Tao Wang, Bingrui Zhao, Jie-Min Jia
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Abstract

Spontaneous cerebral vasomotion, characterized by ∼0.1 Hz rhythmic contractility, is crucial for brain homeostasis. However, our understanding of vasomotion is limited due to a lack of high-precision analytical methods to determine single vasomotion events at basal levels. Here, we developed a novel strategy that integrates a baseline smoothing algorithm, allowing precise measurements of vasodynamics and concomitant Ca2+ dynamics in mouse cerebral vasculature imaged by two-photon microscopy. We identified several previously unrecognized vasomotion properties under different physiological and pathological conditions, especially in ischemic stroke, which is a highly harmful brain disease that results from vessel occlusion. First, the dynamic characteristics between SMCs Ca2+ and corresponding arteriolar vasomotion are correlated. Second, compared to previous diameter-based estimations, our radius-based measurements reveal anisotropic vascular movements, enabling a more precise determination of the latency between smooth muscle cell (SMC) Ca2+ activity and vasoconstriction. Third, we characterized single vasomotion event kinetics at scales of less than 4 seconds. Finally, following pathological vasoconstrictions induced by ischemic stroke, vasoactive arterioles entered an inert state and persisted despite recanalization. In summary, we developed a highly accurate technique for analyzing spontaneous vasomotion, and our data suggested a potential strategy to reduce stroke damage by promoting vasomotion recovery.

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高分辨率血管运动分析揭示了新的动脉生理特征以及中风对脑血管网络的渐进式调节。
自发性脑血管运动的特点是~0.1赫兹的节律性收缩,它对大脑的平衡至关重要。然而,由于缺乏高精度的分析方法来确定基础水平的单次血管运动事件,我们对血管运动的了解十分有限。在这里,我们开发了一种整合了基线平滑算法的新策略,可以精确测量双光子显微镜成像的小鼠脑血管中的血管动力学和伴随的 Ca2+ 动态。我们发现了在不同的生理和病理条件下,尤其是在缺血性中风这种由血管闭塞导致的危害性极大的脑部疾病中,几种以前未曾认识到的血管运动特性。首先,SMC Ca2+ 与相应的动脉血管运动之间的动态特性是相关的。其次,与之前基于直径的估计相比,我们基于半径的测量揭示了各向异性的血管运动,从而能更精确地确定平滑肌细胞(SMC)Ca2+ 活动与血管收缩之间的潜伏期。第三,我们以小于 4 秒的尺度描述了单个血管运动事件的动力学特征。最后,在缺血性中风诱发病理性血管收缩后,血管活性动脉血管进入惰性状态,并在再通后仍持续存在。总之,我们开发了一种高度精确的自发性血管运动分析技术,我们的数据提出了一种通过促进血管运动恢复来减少中风损伤的潜在策略。
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来源期刊
Journal of Cerebral Blood Flow and Metabolism
Journal of Cerebral Blood Flow and Metabolism 医学-内分泌学与代谢
CiteScore
12.00
自引率
4.80%
发文量
300
审稿时长
3 months
期刊介绍: JCBFM is the official journal of the International Society for Cerebral Blood Flow & Metabolism, which is committed to publishing high quality, independently peer-reviewed research and review material. JCBFM stands at the interface between basic and clinical neurovascular research, and features timely and relevant research highlighting experimental, theoretical, and clinical aspects of brain circulation, metabolism and imaging. The journal is relevant to any physician or scientist with an interest in brain function, cerebrovascular disease, cerebral vascular regulation and brain metabolism, including neurologists, neurochemists, physiologists, pharmacologists, anesthesiologists, neuroradiologists, neurosurgeons, neuropathologists and neuroscientists.
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