Microvascular plasticity in mouse stroke model recovery: Anatomy statistics, dynamics measured by longitudinal in vivo two-photon angiography, network vectorization.

IF 4.9 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Samuel A Mihelic, Shaun A Engelmann, Mahdi Sadr, Chakameh Z Jafari, Annie Zhou, Aaron L Woods, Michael R Williamson, Theresa A Jones, Andrew K Dunn
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引用次数: 0

Abstract

This manuscript quantitatively investigates remodeling dynamics of the cortical microvascular network (thousands of connected capillaries) following photothrombotic ischemia (cubic millimeter volume, imaged weekly) using a novel in vivo two-photon angiography and high throughput vascular vectorization method. The results suggest distinct temporal patterns of cerebrovascular plasticity, with acute remodeling peaking at one week post-stroke. The network architecture then gradually stabilizes, returning to a new steady state after four weeks. These findings align with previous literature on neuronal plasticity, highlighting the correlation between neuronal and neurovascular remodeling. Quantitative analysis of neurovascular networks using length- and strand-based statistical measures reveals intricate changes in network anatomy and topology. The distance and strand-length statistics show significant alterations, with a peak of plasticity observed at one week post-stroke, followed by a gradual return to baseline. The orientation statistic plasticity peaks at two weeks, gradually approaching the (conserved across subjects) stroke signature. The underlying mechanism of the vascular response (angiogenesis vs. tissue deformation), however, is yet unexplored. Overall, the combination of chronic two-photon angiography, vascular vectorization, reconstruction/visualization, and statistical analysis enables both qualitative and quantitative assessments of neurovascular remodeling dynamics, demonstrating a method for investigating cortical microvascular network disorders and the therapeutic modes of action thereof.

小鼠中风模型恢复过程中的微血管可塑性:解剖统计学、纵向活体双光子血管造影术测量的动态性、网络矢量化。
本手稿采用新型体内双光子血管造影术和高通量血管矢量化方法,定量研究了光栓性缺血(立方毫米体积,每周成像一次)后大脑皮层微血管网络(数千条相连的毛细血管)的重塑动态。研究结果表明,脑血管可塑性具有不同的时间模式,急性重塑在中风后一周达到高峰。然后网络结构逐渐稳定,四周后恢复到新的稳定状态。这些发现与之前有关神经元可塑性的文献一致,强调了神经元和神经血管重塑之间的相关性。使用基于长度和股的统计量对神经血管网络进行定量分析,揭示了网络解剖和拓扑结构的复杂变化。距离和链长统计量显示了显著的变化,在中风后一周观察到可塑性的峰值,随后逐渐恢复到基线。方向统计的可塑性在两周时达到峰值,并逐渐接近中风特征(在不同受试者中保持不变)。然而,血管反应(血管生成与组织变形)的内在机制尚未探明。总之,将慢性双光子血管造影、血管矢量化、重建/可视化和统计分析相结合,可对神经血管重塑动态进行定性和定量评估,展示了一种研究大脑皮层微血管网络紊乱及其治疗作用模式的方法。
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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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