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  1. Article ; Online: Combining electromyography and Raman spectroscopy: optical EMG.

    Alix, James J P / Plesia, Maria / Shaw, Pamela J / Mead, Richard J / Day, John C C

    Muscle & nerve

    2023  Volume 68, Issue 4, Page(s) 464–470

    Abstract: Introduction/aims: Electromyography (EMG) remains a key component of the diagnostic work-up for suspected neuromuscular disease, but it does not provide insight into the molecular composition of muscle which can provide diagnostic information. Raman ... ...

    Abstract Introduction/aims: Electromyography (EMG) remains a key component of the diagnostic work-up for suspected neuromuscular disease, but it does not provide insight into the molecular composition of muscle which can provide diagnostic information. Raman spectroscopy is an emerging neuromuscular biomarker capable of generating highly specific, molecular fingerprints of tissue. Here, we present "optical EMG," a combination of EMG and Raman spectroscopy, achieved using a single needle.
    Methods: An optical EMG needle was created to collect electrophysiological and Raman spectroscopic data during a single insertion. We tested functionality with in vivo recordings in the SOD1
    Results: A significant difference in CMAP amplitude was observed between SOD1
    Discussion: Optical EMG can provide standard electrophysiological data and molecular Raman data during a single needle insertion and represents a potential biomarker for neuromuscular disease.
    MeSH term(s) Mice ; Animals ; Electromyography ; Superoxide Dismutase-1/genetics ; Spectrum Analysis, Raman ; Muscle, Skeletal ; Mice, Transgenic ; Amyotrophic Lateral Sclerosis/diagnosis ; Amyotrophic Lateral Sclerosis/genetics ; Disease Models, Animal ; Superoxide Dismutase
    Chemical Substances Superoxide Dismutase-1 (EC 1.15.1.1) ; Superoxide Dismutase (EC 1.15.1.1)
    Language English
    Publishing date 2023-07-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 438353-9
    ISSN 1097-4598 ; 0148-639X
    ISSN (online) 1097-4598
    ISSN 0148-639X
    DOI 10.1002/mus.27937
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1449: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 551: Show issues

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  2. 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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  3. 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)
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  4. Article ; Online: Fiber optic Raman spectroscopy for the evaluation of disease state in Duchenne muscular dystrophy: An assessment using the mdx model and human muscle.

    Alix, James J P / Plesia, Maria / Hool, Sarah A / Coldicott, Ian / Kendall, Catherine A / Shaw Dbe, Pamela J / Mead, Richard J / Day, John C

    Muscle & nerve

    2022  Volume 66, Issue 3, Page(s) 362–369

    Abstract: Introduction/aims: 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 ... ...

    Abstract Introduction/aims: 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.
    Methods: 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.
    Results: 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.
    Discussion: Raman spectroscopy provides a readout of the biochemical alterations in muscle in both the mdx mouse and human DMD muscle.
    MeSH term(s) Animals ; Disease Models, Animal ; Humans ; Mice ; Mice, Inbred C57BL ; Mice, Inbred mdx ; Muscle, Skeletal/pathology ; Muscular Dystrophy, Duchenne/diagnosis ; Muscular Dystrophy, Duchenne/pathology ; Spectrum Analysis, Raman
    Language English
    Publishing date 2022-07-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 438353-9
    ISSN 1097-4598 ; 0148-639X
    ISSN (online) 1097-4598
    ISSN 0148-639X
    DOI 10.1002/mus.27671
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1449: Show issues Location:
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  5. 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
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  6. Article ; Online: In Vivo

    Plesia, Maria / Stevens, Oliver A / Lloyd, Gavin R / Kendall, Catherine A / Coldicott, Ian / Kennerley, Aneurin J / Miller, Gaynor / Shaw, Pamela J / Mead, Richard J / Day, John C C / Alix, James J P

    ACS chemical neuroscience

    2021  Volume 12, Issue 10, Page(s) 1768–1776

    Abstract: Neuromuscular diseases result in muscle weakness, disability, and, in many instances, death. Preclinical models form the bedrock of research into these disorders, and the development ... ...

    Abstract Neuromuscular diseases result in muscle weakness, disability, and, in many instances, death. Preclinical models form the bedrock of research into these disorders, and the development of
    MeSH term(s) Amyotrophic Lateral Sclerosis ; Animals ; Disease Models, Animal ; Humans ; Mice ; Mice, Inbred mdx ; Muscle, Skeletal ; Muscles ; Muscular Dystrophy, Duchenne ; Spectrum Analysis, Raman
    Language English
    Publishing date 2021-05-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1948-7193
    ISSN (online) 1948-7193
    DOI 10.1021/acschemneuro.0c00794
    Database MEDical Literature Analysis and Retrieval System OnLINE

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