Literature DB >> 32676364

Relationship between markers of disease activity and progression in skeletal muscle of GNE myopathy patients using quantitative nuclear magnetic resonance imaging and 31P nuclear magnetic resonance spectroscopy.

Harmen Reyngoudt1,2, Benjamin Marty1,2, Ericky Caldas de Almeida Araújo1,2, Pierre-Yves Baudin3, Julien Le Louër1,2, Jean-Marc Boisserie1,2, Anthony Béhin4, Laurent Servais5,6,7,8, Teresa Gidaro5,6, Pierre G Carlier1,2.   

Abstract

BACKGROUND: Quantitative nuclear magnetic resonance imaging (NMRI) is an objective and precise outcome measure for evaluating disease progression in neuromuscular disorders. We aimed to investigate predictive 'disease activity' NMR indices, including water T2 and 31P NMR spectroscopy (NMRS), and its relation to NMR markers of 'disease progression', such as the changes in fat fraction (ΔFat%) and contractile cross-sectional area (ΔcCSA), in GNE myopathy (GNEM) patients.
METHODS: NMR was performed on a 3T clinical scanner, at baseline and at a 1-year interval, in 10 GNEM patients and 29 age-matched controls. Dixon-based fat-water imaging and water T2 mapping were acquired in legs and thighs, and in the dominant forearm. 31P NMRS was performed at the level of quadriceps and hamstring. Water T2 and 31P NMRS indices were determined for all muscle groups and visits. Correlations were performed with 'disease progression' indices ΔFat%, ΔcCSA and the muscle fat transformation rate (Rmuscle_transf).
RESULTS: In quadriceps, known to be relatively preserved in GNEM, water T2 at baseline was significantly higher compared to controls, and correlated strongly with the one-year evolution of Fat% and cCSA and Rmuscle_transf. Various 31P NMRS indices showed significant differences in quadriceps and hamstring compared to controls and correlations existed between these indices and ΔFat%, ΔcCSA and Rmuscle_transf.
CONCLUSIONS: This study demonstrates that disease activity indices such as water T2 and 31P NMRS may predict disease progression in skeletal muscles of GNEM patients, and suggests that these measures may be considered to be valuable surrogate endpoints in the assessment of GNEM disease progression. 2020 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  31P nuclear magnetic resonance spectroscopy (31P NMRS); GNE myopathy (GNEM); quantitative nuclear magnetic resonance imaging (quantitative NMRI); skeletal muscle; water T2

Year:  2020        PMID: 32676364      PMCID: PMC7358411          DOI: 10.21037/qims-20-39

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  47 in total

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Authors:  Hermien E Kan; Tom W J Scheenen; Marielle Wohlgemuth; Dennis W J Klomp; Ivonne van Loosbroek-Wagenmans; George W Padberg; Arend Heerschap
Journal:  Neuromuscul Disord       Date:  2009-03-28       Impact factor: 4.296

2.  Abnormal lipid metabolism in skeletal muscle tissue of patients with muscular dystrophy: In vitro, high-resolution NMR spectroscopy based observation in early phase of the disease.

Authors:  Niraj Kumar Srivastava; Ramakant Yadav; Somnath Mukherjee; Lily Pal; Neeraj Sinha
Journal:  Magn Reson Imaging       Date:  2017-01-07       Impact factor: 2.546

3.  Atypical presentation of GNE myopathy with asymmetric hand weakness.

Authors:  John Karl L de Dios; Joseph A Shrader; Galen O Joe; Jeffrey C McClean; Kayla Williams; Robert Evers; May Christine V Malicdan; Carla Ciccone; Ami Mankodi; Marjan Huizing; John C McKew; David A Bluemke; William A Gahl; Nuria Carrillo-Carrasco
Journal:  Neuromuscul Disord       Date:  2014-08-07       Impact factor: 4.296

4.  Muscle imaging findings in GNE myopathy.

Authors:  Giorgio Tasca; Enzo Ricci; Mauro Monforte; Francesco Laschena; Pierfrancesco Ottaviani; Carmelo Rodolico; Emanuele Barca; Gabriella Silvestri; Elisabetta Iannaccone; Massimiliano Mirabella; Aldobrando Broccolini
Journal:  J Neurol       Date:  2012-01-10       Impact factor: 4.849

5.  Sialic acids: fascinating sugars in higher animals and man.

Authors:  Roland Schauer
Journal:  Zoology (Jena)       Date:  2004       Impact factor: 2.240

6.  Skeletal muscle water T2 as a biomarker of disease status and exercise effects in patients with Duchenne muscular dystrophy.

Authors:  Ami Mankodi; Noura Azzabou; Thomas Bulea; Harmen Reyngoudt; Hirity Shimellis; Yupeng Ren; Eunhee Kim; Kenneth H Fischbeck; Pierre G Carlier
Journal:  Neuromuscul Disord       Date:  2017-04-28       Impact factor: 4.296

7.  Quantitative NMRI and NMRS identify augmented disease progression after loss of ambulation in forearms of boys with Duchenne muscular dystrophy.

Authors:  Claire Wary; Noura Azzabou; Céline Giraudeau; Julien Le Louër; Marie Montus; Thomas Voit; Laurent Servais; Pierre Carlier
Journal:  NMR Biomed       Date:  2015-07-27       Impact factor: 4.044

8.  Muscle MRS detects elevated PDE/ATP ratios prior to fatty infiltration in Becker muscular dystrophy.

Authors:  B H Wokke; M T Hooijmans; J C van den Bergen; A G Webb; J J Verschuuren; H E Kan
Journal:  NMR Biomed       Date:  2014-09-06       Impact factor: 4.044

9.  Java-based graphical user interface for the MRUI quantitation package.

Authors:  A Naressi; C Couturier; J M Devos; M Janssen; C Mangeat; R de Beer; D Graveron-Demilly
Journal:  MAGMA       Date:  2001-05       Impact factor: 2.533

10.  Long-term follow-up of MRI changes in thigh muscles of patients with Facioscapulohumeral dystrophy: A quantitative study.

Authors:  Farzad Fatehi; Emmanuelle Salort-Campana; Arnaud Le Troter; Emilie Lareau-Trudel; Mark Bydder; Alexandre Fouré; Maxime Guye; David Bendahan; Shahram Attarian
Journal:  PLoS One       Date:  2017-08-25       Impact factor: 3.240

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  3 in total

1.  MRI correlates of motoneuron loss in SMA.

Authors:  Alina Sprenger-Svačina; Johannes Haensch; Kilian Weiss; Nils Große Hokamp; David Maintz; Marc Schlamann; Gereon R Fink; Natalie Schloss; Kai Laukamp; Gilbert Wunderlich; Helmar C Lehmann; Thorsten Lichtenstein
Journal:  J Neurol       Date:  2022-10-01       Impact factor: 6.682

2.  Baseline fat fraction is a strong predictor of disease progression in Becker muscular dystrophy.

Authors:  Thom T J Veeger; Nienke M van de Velde; Kevin R Keene; Erik H Niks; Melissa T Hooijmans; Andrew G Webb; Jurriaan H de Groot; Hermien E Kan
Journal:  NMR Biomed       Date:  2022-02-05       Impact factor: 4.478

3.  Three-year quantitative magnetic resonance imaging and phosphorus magnetic resonance spectroscopy study in lower limb muscle in dysferlinopathy.

Authors:  Harmen Reyngoudt; Fiona E Smith; Ericky Caldas de Almeida Araújo; Ian Wilson; Roberto Fernández-Torrón; Meredith K James; Ursula R Moore; Jordi Díaz-Manera; Benjamin Marty; Noura Azzabou; Heather Gordish; Laura Rufibach; Tim Hodgson; Dorothy Wallace; Louise Ward; Jean-Marc Boisserie; Julien Le Louër; Heather Hilsden; Helen Sutherland; Aurélie Canal; Jean-Yves Hogrel; Marni Jacobs; Tanya Stojkovic; Kate Bushby; Anna Mayhew; Volker Straub; Pierre G Carlier; Andrew M Blamire
Journal:  J Cachexia Sarcopenia Muscle       Date:  2022-04-03       Impact factor: 12.063

  3 in total

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