Literature DB >> 29543984

Electrical impedance myography in facioscapulohumeral muscular dystrophy: A 1-year follow-up study.

Karlien Mul1,2, Chad Heatwole3, Katy Eichinger3, Nuran Dilek3, William B Martens3, Baziel G M Van Engelen2, Rabi Tawil3, Jeffrey M Statland1,3.   

Abstract

INTRODUCTION: Electrical impedance myography (EIM) is a noninvasive technique for measuring muscle composition and a potential physiological biomarker for facioscapulohumeral muscular dystrophy (FSHD).
METHODS: Thirty-two participants with genetically confirmed and clinically affected FSHD underwent EIM in 7 muscles bilaterally. Correlations between EIM and baseline clinical measures were used to select EIM variables of interest in FSHD, and EIM and clinical measures were followed for 1 year.
RESULTS: There were no significant changes in the EIM variables. Although 50-kHZ reactance correlated the strongest with clinical measures at baseline, the 50-211-kHZ phase ratio demonstrated lower within-subject 12-month variability, potentially offering sample size savings for FSHD clinical trial planning. DISCUSSION: EIM did not identify significant disease progression over 12 months. It is currently unclear whether this is because of limitations of the technology or the slow rate of disease progression in this cohort of FSHD patients over this period of time. Muscle Nerve 58: 213-218, 2018.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  biomarker; electrical impedance myography; facioscapulohumeral muscular dystrophy; muscle composition; muscular dystrophy; outcome measure

Mesh:

Substances:

Year:  2018        PMID: 29543984      PMCID: PMC6105423          DOI: 10.1002/mus.26127

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  25 in total

Review 1.  What's in a name? The clinical features of facioscapulohumeral muscular dystrophy.

Authors:  Karlien Mul; Saskia Lassche; Nicol C Voermans; George W Padberg; Corinne Gc Horlings; Baziel Gm van Engelen
Journal:  Pract Neurol       Date:  2016-02-09

2.  A prospective, quantitative study of the natural history of facioscapulohumeral muscular dystrophy (FSHD): implications for therapeutic trials. The FSH-DY Group.

Authors: 
Journal:  Neurology       Date:  1997-01       Impact factor: 9.910

3.  Adding quantitative muscle MRI to the FSHD clinical trial toolbox.

Authors:  Karlien Mul; Sanne C C Vincenten; Nicol C Voermans; Richard J L F Lemmers; Patrick J van der Vliet; Silvère M van der Maarel; George W Padberg; Corinne G C Horlings; Baziel G M van Engelen
Journal:  Neurology       Date:  2017-10-13       Impact factor: 9.910

4.  Muscle pathology grade for facioscapulohumeral muscular dystrophy biopsies.

Authors:  Jeffrey M Statland; Bharati Shah; Don Henderson; Silvere Van Der Maarel; Stephen J Tapscott; Rabi Tawil
Journal:  Muscle Nerve       Date:  2015-06-18       Impact factor: 3.217

5.  Electrical impedance myography in individuals with collagen 6 and laminin α-2 congenital muscular dystrophy: a cross-sectional and 2-year analysis.

Authors:  Carmel Nichols; Minal S Jain; Katherine G Meilleur; Tianxia Wu; James Collins; Melissa R Waite; Jahannaz Dastgir; Anam Salman; Sandra Donkervoort; Tina Duong; Katherine Keller; Meganne E Leach; Donovan J Lott; Michelle N McGuire; Leslie Nelson; Anne Rutkowski; Carole Vuillerot; Carsten G Bönnemann; Tanya J Lehky
Journal:  Muscle Nerve       Date:  2017-04-25       Impact factor: 3.217

6.  Optimizing electrode configuration for electrical impedance measurements of muscle via the finite element method.

Authors:  Mina Jafarpoor; Jia Li; Jacob K White; Seward B Rutkove
Journal:  IEEE Trans Biomed Eng       Date:  2013-01-09       Impact factor: 4.538

Review 7.  Electrical impedance myography: Background, current state, and future directions.

Authors:  Seward B Rutkove
Journal:  Muscle Nerve       Date:  2009-12       Impact factor: 3.217

8.  Whole-body magnetic resonance imaging evaluation of facioscapulohumeral muscular dystrophy.

Authors:  Doris G Leung; John A Carrino; Kathryn R Wagner; Michael A Jacobs
Journal:  Muscle Nerve       Date:  2015-03-31       Impact factor: 3.852

9.  Distinct disease phases in muscles of facioscapulohumeral dystrophy patients identified by MR detected fat infiltration.

Authors:  Barbara H Janssen; Nicoline B M Voet; Christine I Nabuurs; Hermien E Kan; Jacky W J de Rooy; Alexander C Geurts; George W Padberg; Baziel G M van Engelen; Arend Heerschap
Journal:  PLoS One       Date:  2014-01-14       Impact factor: 3.240

10.  The Effect of Subcutaneous Fat on Electrical Impedance Myography: Electrode Configuration and Multi-Frequency Analyses.

Authors:  Le Li; Xiaoyan Li; Huijing Hu; Henry Shin; Ping Zhou
Journal:  PLoS One       Date:  2016-05-26       Impact factor: 3.240

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  7 in total

Review 1.  Therapeutic Approaches in Facioscapulohumeral Muscular Dystrophy.

Authors:  Justin Cohen; Alec DeSimone; Monkol Lek; Angela Lek
Journal:  Trends Mol Med       Date:  2020-10-19       Impact factor: 11.951

Review 2.  Facioscapulohumeral Muscular Dystrophy: Update on Pathogenesis and Future Treatments.

Authors:  Johanna Hamel; Rabi Tawil
Journal:  Neurotherapeutics       Date:  2018-10       Impact factor: 7.620

Review 3.  Current Therapeutic Approaches in FSHD.

Authors:  Leo H Wang; Rabi Tawil
Journal:  J Neuromuscul Dis       Date:  2021

Review 4.  Facioscapulohumeral muscular dystrophy: genetics, gene activation and downstream signalling with regard to recent therapeutic approaches: an update.

Authors:  Teresa Schätzl; Lars Kaiser; Hans-Peter Deigner
Journal:  Orphanet J Rare Dis       Date:  2021-03-12       Impact factor: 4.123

Review 5.  Outcome Measures in Facioscapulohumeral Muscular Dystrophy Clinical Trials.

Authors:  Mehdi Ghasemi; Charles P Emerson; Lawrence J Hayward
Journal:  Cells       Date:  2022-02-16       Impact factor: 6.600

6.  Clinical trial readiness to solve barriers to drug development in FSHD (ReSolve): protocol of a large, international, multi-center prospective study.

Authors:  Samantha LoRusso; Nicholas E Johnson; Michael P McDermott; Katy Eichinger; Russell J Butterfield; Elena Carraro; Kiley Higgs; Leann Lewis; Karlien Mul; Sabrina Sacconi; Valeria A Sansone; Perry Shieh; Baziel van Engelen; Kathryn Wagner; Leo Wang; Jeffrey M Statland; Rabi Tawil
Journal:  BMC Neurol       Date:  2019-09-10       Impact factor: 2.474

7.  Identification of candidate miRNA biomarkers for facioscapulohumeral muscular dystrophy using DUX4-based mouse models.

Authors:  Andreia M Nunes; Monique Ramirez; Takako I Jones; Peter L Jones
Journal:  Dis Model Mech       Date:  2021-08-24       Impact factor: 5.758

  7 in total

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