Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy
Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy
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DOI：
10.1038/s41598-020-68598-8
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发表时间：
2020-07-16
影响因子：
4.6
通讯作者：
Lednev, Igor K.
中科院分区：
文献类型：
--
作者：
Ralbovsky, Nicole M.;Dey, Paromita;Lednev, Igor K.
杜氏肌营养不良症（DMD）是最常见和最严重的形式的肌营养不良症，影响婴儿期或幼儿期的男孩。目前用于诊断DMD的方法通常是费力的、昂贵的、侵入性的，并且通常在疾病进展的晚期诊断疾病。为了提高DMD诊断的准确性和简便性，本研究将血清的拉曼高光谱分析与先进的统计分析相结合，开发了一种诊断DMD的新方法。偏最小二乘判别分析应用于从杜氏肌营养不良症（mdx）小鼠模型和对照小鼠的血清中获得的光谱数据集。交叉验证显示识别疾病谱的敏感性为95.2%，特异性为94.6%。这些结果通过外部验证进行了验证，在供体水平上实现了100%的成功分类准确性。这项概念验证研究提出了血清的拉曼超光谱分析作为区分对照和mdx模型小鼠的简单、快速、廉价和微创的检测方法，具有很强的DMD临床诊断潜力。
Duchenne muscular dystrophy (DMD) is the most common and severe form of muscular dystrophy and affects boys in infancy or early childhood. Current methods for diagnosing DMD are often laborious, expensive, invasive, and typically diagnose the disease late in its progression. In an effort to improve the accuracy and ease of diagnosis, this study focused on developing a novel method for diagnosing DMD which combines Raman hyperspectroscopic analysis of blood serum with advanced statistical analysis. Partial least squares discriminant analysis was applied to the spectral dataset acquired from blood serum of a mouse model of Duchenne muscular dystrophy (mdx) and control mice. Cross-validation showed 95.2% sensitivity and 94.6% specificity for identifying diseased spectra. These results were verified via external validation, which achieved 100% successful classification accuracy at the donor level. This proof-of-concept study presents Raman hyperspectroscopic analysis of blood serum as an easy, fast, non-expensive, and minimally invasive detection method for distinguishing control and mdx model mice, with a strong potential for clinical diagnosis of DMD.