Literature DB >> 17058270

Revised statistical motor unit number estimation in the Celecoxib/ALS trial.

J M Shefner1, M E Cudkowicz, H Zhang, D Schoenfeld, D Jillapalli.   

Abstract

Techniques to estimate motor unit number (MUNE) measure the number of functioning motor units in a muscle. As amyotrophic lateral sclerosis (ALS) is characterized by progressive motor unit loss, this disease offers an ideal setting for the use of MUNE. Statistical MUNE was employed in a recent multicenter trial of creatine in ALS, and was shown to be reliable, reproducible, and to decline with disease progression. However, motor unit amplitude stayed constant over 7 months, a finding believed to reflect an artifact of the method. The statistical method was revised to reflect more accurately the presence of larger motor units and employed in a 12-month study of Celecoxib in ALS. MUNE declined by 49% in 12 months; however, motor unit amplitude again stayed constant over the same period. Statistical MUNE estimates motor unit number based on the variability of response to a repeated stimulus of constant strength, with an underlying assumption that this variability is due solely to the number of motor units responding in an intermittent manner. Based on studies showing that single motor units in ALS display excessive amplitude variability when stimulated repeatedly, we show that response variability in ALS patients is in large part due to single unit changes. Thus, we conclude that the statistical method is not an appropriate measure of motor unit number in any disease associated with motor unit instability.

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Year:  2007        PMID: 17058270     DOI: 10.1002/mus.20671

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


  8 in total

1.  Multipoint incremental motor unit number estimation as an outcome measure in ALS.

Authors:  J M Shefner; M L Watson; L Simionescu; J B Caress; T M Burns; N J Maragakis; M Benatar; W S David; K R Sharma; S B Rutkove
Journal:  Neurology       Date:  2011-06-15       Impact factor: 9.910

Review 2.  Clinical Trial Designs in Amyotrophic Lateral Sclerosis: Does One Design Fit All?

Authors:  Katharine A Nicholson; Merit E Cudkowicz; James D Berry
Journal:  Neurotherapeutics       Date:  2015-04       Impact factor: 7.620

3.  Outcome measures in amyotrophic lateral sclerosis clinical trials.

Authors:  Sabrina Paganoni; Merit Cudkowicz; James D Berry
Journal:  Clin Investig (Lond)       Date:  2014

4.  Standard and modified statistical MUNE evaluations in spinal-bulbar muscular atrophy.

Authors:  Tanya J Lehky; Cheun Ju Chen; Nicholas A di Prospero; Lindsay E Rhodes; Kenneth Fischbeck; Mary Kay Floeter
Journal:  Muscle Nerve       Date:  2009-11       Impact factor: 3.217

Review 5.  Biomarkers in amyotrophic lateral sclerosis: opportunities and limitations.

Authors:  Robert Bowser; Martin R Turner; Jeremy Shefner
Journal:  Nat Rev Neurol       Date:  2011-10-11       Impact factor: 42.937

6.  Handgrip maximal voluntary isometric contraction does not correlate with thenar motor unit number estimation.

Authors:  Arun Aggarwal
Journal:  Neurol Res Int       Date:  2012-05-09

Review 7.  Biomarkers in Motor Neuron Disease: A State of the Art Review.

Authors:  Nick S Verber; Stephanie R Shepheard; Matilde Sassani; Harry E McDonough; Sophie A Moore; James J P Alix; Iain D Wilkinson; Tom M Jenkins; Pamela J Shaw
Journal:  Front Neurol       Date:  2019-04-03       Impact factor: 4.003

8.  Assessing Rat Forelimb and Hindlimb Motor Unit Connectivity as Objective and Robust Biomarkers of Spinal Motor Neuron Function.

Authors:  Markus E Harrigan; Angela R Filous; Andrew P Tosolini; Renee Morris; Jan M Schwab; W David Arnold
Journal:  Sci Rep       Date:  2019-11-13       Impact factor: 4.379

  8 in total

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