Ternifi Redouane, Kammoun Malek, Pouletaut Philippe, Subramaniam Malayannan, Hawse John R, Bensamoun Sabine F
Sorbonne Universités, Université de Technologie de Compiègne, Biomechanics and Bioengineering Laboratory, UMR CNRS 7338, Compiègne, France.
Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
Biomed Signal Process Control. 2020 Feb;56. doi: 10.1016/j.bspc.2019.101735. Epub 2019 Oct 29.
Noninvasive imaging techniques are increasingly used for monitoring muscle behavior in mice. However, muscle is a complex tissue that exhibits different properties under passive and active conditions. In addition to structural properties, it is also important to analyze functional characteristics. At present, such information can be obtained with ultrasound elastography. However, this technique is poorly used for small rodent models (mice and gerbils). Thus, this study aims at establish referent hindlimb muscle data, and experimental guidelines, for wild-type (WT) control mice as well as the TIEG1 knockout (KO) mouse model that is known to exhibit skeletal muscle defects. Ultrasound was performed with the Aixplorer machine using a SLH 20-6 linear transducer probe (2.8 cm footprint). A region of interest (ROI) was placed around a superficial group of muscles. Subsequently, from the B-mode image, a classification of all the muscles and ultrasound biomarkers such as echo intensity and texture anisotropy have been determined. The influence of the gain setting (from 40% to 70%) was analyzed on these parameters. Moreover, the elasticity (E) was also measured within the ROI. This study provides a suitable methodology for collecting experimental data: 1) the correct range of gain (between 50% and 70%) to apply for the ultrasound measurement of muscle structure, 2) the structural and functional referent data for a group of healthy muscles, 3) the gray scale index, the texture anisotropy and the elasticity (ETIEG1 KO = 36.1 ± 10.3 kPa, E = 44.4 ± 13.4 kPa) parameters, which were obtained for a group of muscles as a function of genotype.
非侵入性成像技术越来越多地用于监测小鼠的肌肉行为。然而，肌肉是一种复杂的组织，在被动和主动条件下表现出不同的特性。除了结构特性外，分析功能特征也很重要。目前，可以通过超声弹性成像获得此类信息。然而，该技术在小型啮齿动物模型（小鼠和沙鼠）中的应用较少。因此，本研究旨在为野生型（WT）对照小鼠以及已知表现出骨骼肌缺陷的TIEG1基因敲除（KO）小鼠模型建立后肢肌肉参考数据和实验指南。使用Aixplorer机器和SLH 20-6线性换能器探头（2.8 cm足迹）进行超声检查。在一组浅表肌肉周围放置感兴趣区域（ROI）。随后，从B模式图像中确定了所有肌肉的分类以及超声生物标志物，如回声强度和纹理各向异性。分析了增益设置（从40%到70%）对这些参数的影响。此外，还在ROI内测量了弹性（E）。本研究提供了一种收集实验数据的合适方法：1）用于肌肉结构超声测量的正确增益范围（50%至70%之间），2）一组健康肌肉的结构和功能参考数据，3）灰度指数、纹理各向异性和弹性（ETIEG1 KO = 36.1±10.3 kPa，E = 44.4±13.4 kPa）参数，这些参数是一组肌肉根据基因型获得的。
