Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography.

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Alexander Pereira-Rosa, Thamires S Oliveira, Matheus S Ferreira, Rodrigo J Vianna-Barbosa, Tula C Wilmart-Gonçalves, Tânia M Ortiga, Flavia F Bloise
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引用次数: 0

Abstract

Skeletal muscle size, mass, and composition are critical properties for studying metabolic and muscle-related diseases, as they directly impact the understanding of disease progression and treatment outcomes. Quantifying a live animal's lean, adipose, and skeletal mass is important in metabolic, physiology, pharmacologic, and geroscience studies. However, obtaining accurate body composition measurements, especially of lean mass, remains challenging due to the inherent limitations of conventional assessment techniques. Micro-computed tomography (micro-CT) is a non-invasive radiological technique that enables high-resolution visualization of internal structures in small animal models. A standardized micro-CT method can significantly enhance translational research with more reliable and impactful results, particularly during aging studies or at different time points within the same animal. Despite its potential, the lack of standardization in image acquisition and analysis methods significantly hinders the comparability of results across different studies. Herein, we present a comprehensive and detailed low-cost protocol for lean mass analysis using micro-CT to address these challenges and promote consistency in research involving small animal models.

利用微型计算机断层扫描技术对小动物的骨骼肌进行无创定量。
骨骼肌的大小、质量和组成是研究代谢和肌肉相关疾病的关键属性,因为它们直接影响对疾病进展和治疗效果的理解。量化活体动物的瘦肉、脂肪和骨骼质量对于代谢、生理学、药理学和地质科学研究非常重要。然而,由于传统评估技术的固有局限性,要获得准确的身体成分测量值,尤其是瘦体重的测量值,仍然具有挑战性。显微计算机断层扫描(micro-CT)是一种非侵入性放射学技术,能够高分辨率地观察小动物模型的内部结构。标准化的显微计算机断层扫描方法可以显著提高转化研究的水平,获得更可靠、更有影响力的结果,尤其是在老化研究或同一动物的不同时间点。尽管显微 CT 具有很大的潜力,但图像采集和分析方法缺乏标准化极大地阻碍了不同研究结果的可比性。在此,我们将介绍一种利用微型计算机断层扫描进行瘦肉质量分析的全面而详细的低成本方案,以应对这些挑战并促进涉及小动物模型研究的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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