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Lookup NU author(s): Professor Grainne Gorman, Professor Robert Taylor
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2022 The Authors. Journal of Raman Spectroscopy published by John Wiley & Sons Ltd. Raman spectroscopy shows promise as a biomarker for complex nerve and muscle (neuromuscular) diseases. To maximise its potential, several challenges remain. These include the sensitivity to different instrument configurations, translation across preclinical/human tissues and the development of multivariate analytics that can derive interpretable spectral outputs for disease identification. Nonnegative matrix factorisation (NMF) can extract features from high-dimensional data sets and the nonnegative constraint results in physically realistic outputs. In this study, we have undertaken NMF on Raman spectra of muscle obtained from different clinical and preclinical settings. First, we obtained and combined Raman spectra from human patients with mitochondrial disease and healthy volunteers, using both a commercial microscope and in-house fibre optic probe. NMF was applied across all data, and spectral patterns common to both equipment configurations were identified. Linear discriminant models utilising these patterns were able to accurately classify disease states (accuracy 70.2–84.5%). Next, we applied NMF to spectra obtained from the mdx mouse model of a Duchenne muscular dystrophy and patients with dystrophic muscle conditions. Spectral fingerprints common to mouse/human were obtained and able to accurately identify disease (accuracy 79.5–98.8%). We conclude that NMF can be used to analyse Raman data across different equipment configurations and the preclinical/clinical divide. Thus, the application of NMF decomposition methods could enhance the potential of Raman spectroscopy for the study of fatal neuromuscular diseases.
Author(s): Alix JJP, Plesia M, Schooling CN, Dudgeon AP, Kendall CA, Kadirkamanathan V, McDermott CJ, Gorman GS, Taylor RW, Mead RJ, Shaw PJ, Day JC
Publication type: Article
Publication status: Published
Journal: Journal of Raman Spectroscopy
Year: 2022
Volume: 54
Issue: 3
Pages: 258-268
Print publication date: 01/03/2023
Online publication date: 01/12/2022
Acceptance date: 02/11/2022
Date deposited: 12/01/2023
ISSN (print): 0377-0486
ISSN (electronic): 1097-4555
Publisher: John Wiley and Sons Ltd
URL: https://doi.org/10.1002/jrs.6480
DOI: 10.1002/jrs.6480
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