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Rapid identification of human muscle disease with fibre optic Raman spectroscopy
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 spectro...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150427/ https://www.ncbi.nlm.nih.gov/pubmed/35545877 http://dx.doi.org/10.1039/d1an01932e |
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author | Alix, James J. P. Plesia, Maria Lloyd, Gavin R. Dudgeon, Alexander P. Kendall, Catherine A. Hewamadduma, Channa Hadjivassiliou, Marios McDermott, Christopher J. Gorman, Gráinne S. Taylor, Robert W. Shaw, Pamela J. Day, John C. C. |
author_facet | Alix, James J. P. Plesia, Maria Lloyd, Gavin R. Dudgeon, Alexander P. Kendall, Catherine A. Hewamadduma, Channa Hadjivassiliou, Marios McDermott, Christopher J. Gorman, Gráinne S. Taylor, Robert W. Shaw, Pamela J. Day, John C. C. |
author_sort | Alix, James J. P. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9150427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-91504272022-06-21 Rapid identification of human muscle disease with fibre optic Raman spectroscopy Alix, James J. P. Plesia, Maria Lloyd, Gavin R. Dudgeon, Alexander P. Kendall, Catherine A. Hewamadduma, Channa Hadjivassiliou, Marios McDermott, Christopher J. Gorman, Gráinne S. Taylor, Robert W. Shaw, Pamela J. Day, John C. C. Analyst Chemistry 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. The Royal Society of Chemistry 2022-04-21 /pmc/articles/PMC9150427/ /pubmed/35545877 http://dx.doi.org/10.1039/d1an01932e Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Chemistry Alix, James J. P. Plesia, Maria Lloyd, Gavin R. Dudgeon, Alexander P. Kendall, Catherine A. Hewamadduma, Channa Hadjivassiliou, Marios McDermott, Christopher J. Gorman, Gráinne S. Taylor, Robert W. Shaw, Pamela J. Day, John C. C. Rapid identification of human muscle disease with fibre optic Raman spectroscopy |
title | Rapid identification of human muscle disease with fibre optic Raman spectroscopy |
title_full | Rapid identification of human muscle disease with fibre optic Raman spectroscopy |
title_fullStr | Rapid identification of human muscle disease with fibre optic Raman spectroscopy |
title_full_unstemmed | Rapid identification of human muscle disease with fibre optic Raman spectroscopy |
title_short | Rapid identification of human muscle disease with fibre optic Raman spectroscopy |
title_sort | rapid identification of human muscle disease with fibre optic raman spectroscopy |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150427/ https://www.ncbi.nlm.nih.gov/pubmed/35545877 http://dx.doi.org/10.1039/d1an01932e |
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