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  1. Article ; Online: Conformational fingerprinting with Raman spectroscopy reveals protein structure as a translational biomarker of muscle pathology.

    Alix, James J P / Plesia, Maria / Dudgeon, Alexander P / Kendall, Catherine A / Hewamadduma, Channa / Hadjivassiliou, Marios / Gorman, Gráinne S / Taylor, Robert W / McDermott, Christopher J / Shaw, Pamela J / Mead, Richard J / Day, John C

    The Analyst

    2024  Volume 149, Issue 9, Page(s) 2738–2746

    Abstract: Neuromuscular disorders are a group of conditions that can result in weakness of skeletal muscles. Examples include fatal diseases such as amyotrophic lateral sclerosis and conditions associated with high morbidity such as myopathies (muscle diseases). ... ...

    Abstract Neuromuscular disorders are a group of conditions that can result in weakness of skeletal muscles. Examples include fatal diseases such as amyotrophic lateral sclerosis and conditions associated with high morbidity such as myopathies (muscle diseases). Many of these disorders are known to have abnormal protein folding and protein aggregates. Thus, easy to apply methods for the detection of such changes may prove useful diagnostic biomarkers. Raman spectroscopy has shown early promise in the detection of muscle pathology in neuromuscular disorders and is well suited to characterising the conformational profiles relating to protein secondary structure. In this work, we assess if Raman spectroscopy can detect differences in protein structure in muscle in the setting of neuromuscular disease. We utilise
    MeSH term(s) Spectrum Analysis, Raman/methods ; Humans ; Animals ; Biomarkers/analysis ; Muscular Dystrophy, Duchenne/pathology ; Muscular Dystrophy, Duchenne/diagnosis ; Muscle, Skeletal/chemistry ; Muscle, Skeletal/pathology ; Mice ; Amyotrophic Lateral Sclerosis/diagnosis ; Amyotrophic Lateral Sclerosis/pathology ; Male
    Chemical Substances Biomarkers
    Language English
    Publishing date 2024-04-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 210747-8
    ISSN 1364-5528 ; 0003-2654
    ISSN (online) 1364-5528
    ISSN 0003-2654
    DOI 10.1039/d4an00320a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2423: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: 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

    The Analyst

    2022  Volume 147, Issue 11, Page(s) 2533–2540

    Abstract: 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 ... ...

    Abstract 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
    MeSH term(s) Fiber Optic Technology/methods ; Humans ; Muscles ; Muscular Diseases/diagnosis ; Spectrum Analysis, Raman/methods
    Language English
    Publishing date 2022-05-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 210747-8
    ISSN 1364-5528 ; 0003-2654
    ISSN (online) 1364-5528
    ISSN 0003-2654
    DOI 10.1039/d1an01932e
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2423: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article: Non-negative matrix factorisation of Raman spectra finds common patterns relating to neuromuscular disease across differing equipment configurations, preclinical models and human tissue.

    Alix, James J P / Plesia, Maria / Schooling, Chlöe N / Dudgeon, Alexander P / Kendall, Catherine A / Kadirkamanathan, Visakan / McDermott, Christopher J / Gorman, Gráinne S / Taylor, Robert W / Mead, Richard J / Shaw, Pamela J / Day, John C

    Journal of Raman spectroscopy : JRS

    2022  Volume 54, Issue 3, Page(s) 258–268

    Abstract: 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 ... ...

    Abstract 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
    Language English
    Publishing date 2022-12-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 1481008-6
    ISSN 1097-4555 ; 0377-0486
    ISSN (online) 1097-4555
    ISSN 0377-0486
    DOI 10.1002/jrs.6480
    Database MEDical Literature Analysis and Retrieval System OnLINE

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