Fiber optic Raman spectroscopy for the evaluation of disease state in Duchenne muscular dystrophy: An assessment using the mdx model and human muscle.
Fiber optic Raman spectroscopy for the evaluation of disease state in Duchenne muscular dystrophy: An assessment using the mdx model and human muscle.
复制标题
DOI：
10.1002/mus.27671
复制
发表时间：
2022-09
期刊：
影响因子：
3.4
通讯作者：
Day, John C.
中科院分区：
文献类型：
--
作者：
Alix, James J. P.;Plesia, Maria;Hool, Sarah A.;Coldicott, Ian;Kendall, Catherine A.;Dbe, Pamela J. Shaw;Mead, Richard J.;Day, John C.
拉曼光谱是一种评估肌肉疾病的新兴技术。
将90天大的MDX小鼠随机分配给执行的组（48小时的访问型车轮），并在两个胃病理学中分析了胃病理学的分析（n = 15组）。光谱是与使用余弦相似性的人类DMD样品相比。
运动的平均在48小时内跑了6.5 km，这引起了肌肉坏死的显着增加（p = .03）。
拉曼光谱学提供了MDX小鼠和人DMD肌肉中肌肉的生化改变的读数。
Raman spectroscopy is an emerging technique for the evaluation of muscle disease. In this study we evaluate the ability of in vivo intramuscular Raman spectroscopy to detect the effects of voluntary running in the mdx model of Duchenne muscular dystrophy (DMD). We also compare mdx data with muscle spectra from human DMD patients. Thirty 90‐day‐old mdx mice were randomly allocated to an exercised group (48‐hour access to a running wheel) and an unexercised group (n = 15 per group). In vivo Raman spectra were collected from both gastrocnemius muscles and histopathological assessment subsequently performed. Raman data were analyzed using principal component analysis–fed linear discriminant analysis (PCA‐LDA). Exercised and unexercised mdx muscle spectra were compared with human DMD samples using cosine similarity. Exercised mice ran an average of 6.5 km over 48 hours, which induced a significant increase in muscle necrosis (P = .03). PCA‐LDA scores were significantly different between the exercised and unexercised groups (P < .0001) and correlated significantly with distance run (P = .01). Raman spectra from exercised mice more closely resembled human spectra than those from unexercised mice. Raman spectroscopy provides a readout of the biochemical alterations in muscle in both the mdx mouse and human DMD muscle.
登录
查看更多内容
DOI：
10.1039/d1an01932e
发表时间：
2022-05-30
期刊：
The Analyst
影响因子：
--
作者：
通讯作者：
--
影响因子：
7.4
作者：
FRANK, CJ;MCCREERY, RL;REDD, DCB
通讯作者：
REDD, DCB
影响因子：
2.8
作者：
De Luca, A;Pierno, S;Camerino, DC
通讯作者：
Camerino, DC
影响因子：
4.6
作者：
Brauchle E;Thude S;Brucker SY;Schenke-Layland K
通讯作者：
Schenke-Layland K
影响因子：
3.9
作者：
Kalkanis, Steven N.;Kast, Rachel E.;Auner, Gregory W.
通讯作者：
Auner, Gregory W.