Rapid identification of human muscle disease with fibre optic Raman spectroscopy.

Rapid identification of human muscle disease with fibre optic Raman spectroscopy.
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DOI:
10.1039/d1an01932e
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发表时间:
2022-05-30
期刊:
The Analyst
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其他
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肌肉疾病(“肌病”)可能具有挑战性,尽管在成像和基因组医学等领域的进步中,需要增强疾病的生物标志物,但肌肉活检仍然是重要但耗时的投资研究了27例最终的肌病临床诊断和17名患者,对肌肉疾病的快速识别进行了调查的可行性。将患者细分为线粒体和非分数肌病组,分类的精度在74-89%之间,这些频谱变化与蛋白质结构的变化有关。将大大简化这些疾病的诊断途径的疾病。 我们证明了光纤拉曼光谱法对肌肉疾病的快速鉴定。
The diagnosis of muscle disorders (“myopathies”) can be challenging and new biomarkers of disease are required to enhance clinical practice and research. Despite advances in areas such as imaging and genomic medicine, muscle biopsy remains an important but time-consuming investigation. Raman spectroscopy is a vibrational spectroscopy application that could provide a rapid analysis of muscle tissue, as it requires no sample preparation and is simple to perform. Here, we investigated the feasibility of using a miniaturised, portable fibre optic Raman system for the rapid identification of muscle disease. Samples were assessed from 27 patients with a final clinico-pathological diagnosis of a myopathy and 17 patients in whom investigations and clinical follow-up excluded myopathy. Multivariate classification techniques achieved accuracies ranging between 71–77%. To explore the potential of Raman spectroscopy to identify different myopathies, patients were subdivided into mitochondrial and non-mitochondrial myopathy groups. Classification accuracies were between 74–89%. Observed spectral changes were related to changes in protein structure. These data indicate fibre optic Raman spectroscopy is a promising technique for the rapid identification of muscle disease that could provide real time diagnostic information. The application of fibre optic Raman technology raises the prospect of in vivo bedside testing for muscle diseases which would significantly streamline the diagnostic pathway of these disorders. We demonstrate the use of fibre optic Raman spectroscopy for the rapid identification of muscle disorders.
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影响因子: --
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