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横纹肌定量形态测量和氧传输建模的综合方法。

Integrated method for quantitative morphometry and oxygen transport modeling in striated muscle.

机构信息

Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford , Oxford , United Kingdom.

Department of Mathematics, Faculty of Science, Kuwait University, Khaldiya, Kuwait.

出版信息

J Appl Physiol (1985). 2019 Mar 1;126(3):544-557. doi: 10.1152/japplphysiol.00170.2018. Epub 2018 Dec 6.

Abstract

Identifying structural limitations in O transport is primarily restricted by current methods employed to characterize the nature of physiological remodeling. Inadequate resolution or breadth of available data has impaired development of routine diagnostic protocols and effective therapeutic strategies. Understanding O transport within striated muscle faces major challenges, most notably in quantifying how well individual fibers are supplied by the microcirculation, which has necessitated exploring tissue O supply using theoretical modeling of diffusive exchange. With capillary domains identified as a suitable model for the description of local O supply and requiring less computation than numerically calculating the trapping regions that are supplied by each capillary via biophysical transport models, we sought to design a high-throughput method for histological analysis. We present an integrated package that identifies optimal protocols for identification of important input elements, processing of digitized images with semiautomated routines, and incorporation of these data into a mathematical modeling framework with computed output visualized as the tissue partial pressure of O (Po) distribution across a biopsy sample. Worked examples are provided using muscle samples from experiments involving rats and humans. NEW & NOTEWORTHY Progress in quantitative morphometry and analytical modeling has tended to develop independently. Real diagnostic power lies in harnessing both disciplines within one user-friendly package. We present a semiautomated, high-throughput tool for determining muscle phenotype from biopsy material, which also provides anatomically relevant input to quantify tissue oxygenation, in a coherent package not previously available to nonspecialist investigators.

摘要

识别 O 运输的结构限制主要受到当前用于描述生理重塑性质的方法的限制。现有数据的分辨率或广度不足,阻碍了常规诊断方案和有效治疗策略的制定。在横纹肌中理解 O 运输面临着重大挑战,最突出的是如何量化微循环对单个纤维的供应情况,这就需要使用扩散交换的理论模型来探索组织 O 供应。由于毛细血管区域被确定为描述局部 O 供应的合适模型,并且比通过生物物理运输模型计算每个毛细血管供应的捕获区域所需的计算量少,因此我们试图设计一种用于组织学分析的高通量方法。我们提出了一个集成的软件包,用于确定识别重要输入元素的最佳方案,使用半自动例程处理数字化图像,并将这些数据纳入数学建模框架中,计算输出以组织氧分压 (Po) 分布的形式可视化活检样本。提供了使用涉及大鼠和人类的实验的肌肉样本的示例。新的和值得注意的是,定量形态计量学和分析模型方面的进展往往是独立发展的。真正的诊断能力在于在一个用户友好的软件包中利用这两个学科。我们提出了一种半自动的、高通量的工具,用于从活检材料中确定肌肉表型,该工具还提供了与解剖相关的输入,以定量组织氧合,这在以前是专门研究人员无法获得的。

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