Literature DB >> 26215733

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

Claire Wary1,2,3, Noura Azzabou1,2,3, Céline Giraudeau1,2,3, Julien Le Louër1,2,3, Marie Montus4, Thomas Voit5, Laurent Servais6, Pierre Carlier1,2,3.   

Abstract

Quantitative NMRI and (31)P NMRS indices are reported in the forearms of 24 patients with Duchenne muscular dystrophy (DMD) (6-18 years, 14 non-ambulant) amenable to exon 53 skipping therapy and in 12 age-matched male controls (CONT). Examinations carried out at 3 T comprised multi-slice 17-echo measurements of muscle water T2 and heterogeneity, three-point Dixon imaging of fat fraction in flexor and extensor muscles (FLEX, EXT), and non-localised spectroscopy of phosphate metabolites. We studied four imaging indices, eight metabolic ratios combining ATP, phosphocreatine, phosphomonoesters and phosphodiesters, the cytosolic inorganic phosphate (Pia ) and an alkaline (Pib) pool present in dystrophic muscle, and average pH. All indices differed between DMD and CONT, except for muscle water T2 . Measurements were outside the 95th percentile of age-matched CONT values in over 65% of cases for percentage fat signal (%F), and in 78-100% of cases for all spectroscopic indices. T2 was elevated in one-third of FLEX measurements, whereas %pixels > 39 ms and T2 heterogeneity were abnormal in one-half of the examinations. The FLEX muscles had higher fat infiltration and T2 than EXT muscle groups. All indices, except pH, correlated with patient age, although the correlation was negative for T2 . However, in non-ambulant patients, the correlation with years since loss of ambulation was stronger than the correlation with age, and the slope of evolution per year was steeper after loss of ambulation. All indices except Pi/gATP differed between ambulant and non-ambulant patients; however, T2 and %pixels > 39 ms were highest in ambulant patients, possibly owing to the greater extent of inflammatory processes earlier in the disease. All other indices were worse in non-ambulant subjects. Quantitative measurements obtained from patients at different disease stages covered a broad range of abnormalities that evolved with the disease, and metabolic indices were up to 10-fold above normal from the onset, thus establishing a variety of potential markers for future therapy.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  31P MRS; Duchenne muscular dystrophy (DMD); MRI; T2; fat fraction; non-ambulant

Mesh:

Substances:

Year:  2015        PMID: 26215733     DOI: 10.1002/nbm.3352

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  31 in total

1.  Electrical impedance myography for assessment of Duchenne muscular dystrophy.

Authors:  Seward B Rutkove; Kush Kapur; Craig M Zaidman; Jim S Wu; Amy Pasternak; Lavanya Madabusi; Sung Yim; Adam Pacheck; Heather Szelag; Tim Harrington; Basil T Darras
Journal:  Ann Neurol       Date:  2017-05-04       Impact factor: 10.422

Review 2.  Skeletal Muscle Quantitative Nuclear Magnetic Resonance Imaging and Spectroscopy as an Outcome Measure for Clinical Trials.

Authors:  Pierre G Carlier; Benjamin Marty; Olivier Scheidegger; Paulo Loureiro de Sousa; Pierre-Yves Baudin; Eduard Snezhko; Dmitry Vlodavets
Journal:  J Neuromuscul Dis       Date:  2016-03-03

Review 3.  Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy.

Authors:  Doris G Leung
Journal:  Muscle Nerve       Date:  2019-05-14       Impact factor: 3.217

4.  Exploring the relationship between electrical impedance myography and quantitative ultrasound parameters in Duchenne muscular dystrophy.

Authors:  Bhaskar Roy; Basil T Darras; Craig M Zaidman; Jim S Wu; Kush Kapur; Seward B Rutkove
Journal:  Clin Neurophysiol       Date:  2019-02-12       Impact factor: 3.708

5.  Magnetic resonance imaging of the proximal upper extremity musculature in boys with Duchenne muscular dystrophy.

Authors:  R J Willcocks; W T Triplett; S C Forbes; H Arora; C R Senesac; D J Lott; T R Nicholson; W D Rooney; G A Walter; K Vandenborne
Journal:  J Neurol       Date:  2016-10-24       Impact factor: 4.849

6.  Quantifying disease activity in fatty-infiltrated skeletal muscle by IDEAL-CPMG in Duchenne muscular dystrophy.

Authors:  Ami Mankodi; Courtney A Bishop; Sungyoung Auh; Rexford D Newbould; Kenneth H Fischbeck; Robert L Janiczek
Journal:  Neuromuscul Disord       Date:  2016-07-28       Impact factor: 4.296

7.  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

8.  Upper and Lower Extremities in Duchenne Muscular Dystrophy Evaluated with Quantitative MRI and Proton MR Spectroscopy in a Multicenter Cohort.

Authors:  Sean C Forbes; Harneet Arora; Rebecca J Willcocks; William T Triplett; William D Rooney; Alison M Barnard; Umar Alabasi; Dah-Jyuu Wang; Donovan J Lott; Claudia R Senesac; Ann T Harrington; Erika L Finanger; Gihan I Tennekoon; John Brandsema; Michael J Daniels; H Lee Sweeney; Glenn A Walter; Krista Vandenborne
Journal:  Radiology       Date:  2020-04-14       Impact factor: 11.105

9.  Global versus individual muscle segmentation to assess quantitative MRI-based fat fraction changes in neuromuscular diseases.

Authors:  Harmen Reyngoudt; Benjamin Marty; Jean-Marc Boisserie; Julien Le Louër; Cedi Koumako; Pierre-Yves Baudin; Brenda Wong; Tanya Stojkovic; Anthony Béhin; Teresa Gidaro; Yves Allenbach; Olivier Benveniste; Laurent Servais; Pierre G Carlier
Journal:  Eur Radiol       Date:  2020-11-21       Impact factor: 5.315

10.  Longitudinal functional and NMR assessment of upper limbs in Duchenne muscular dystrophy.

Authors:  Jean-Yves Hogrel; Claire Wary; Amélie Moraux; Noura Azzabou; Valérie Decostre; Gwenn Ollivier; Aurélie Canal; Charlotte Lilien; Isabelle Ledoux; Mélanie Annoussamy; Nacera Reguiba; Teresa Gidaro; Anne Gaelle Le Moing; Ruxandra Cardas; Thomas Voit; Pierre G Carlier; Laurent Servais
Journal:  Neurology       Date:  2016-02-17       Impact factor: 9.910

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