Literature DB >> 28043769

Motor Unit Number Index (MUNIX) detects motor neuron loss in pre-symptomatic muscles in Amyotrophic Lateral Sclerosis.

Christoph Neuwirth1, Paul E Barkhaus2, Christian Burkhardt3, José Castro4, David Czell5, Mamede de Carvalho4, Sanjeev Nandedkar6, Erik Stålberg7, Markus Weber8.   

Abstract

OBJECTIVE: Motor Unit Number Index (MUNIX) is a quantitative neurophysiological measure that provides an index of the number of lower motor neurons supplying a muscle. It reflects the loss of motor neurons in patients with Amyotrophic Lateral Sclerosis (ALS). However, it is unclear whether MUNIX also detects motor unit loss in strong, non-wasted muscles.
METHODS: Three centres measured MUNIX in 49 ALS patients every three months in six different muscles (abductor pollicis brevis, abductor digiti minimi, biceps brachii, tibialis anterior, extensor digitorum brevis, abductor hallucis) on the less affected side. The decline of MUNIX in initially non-wasted, clinically strong muscles (manual muscle testing, MMT grade 5) was analysed before and after onset of weakness.
RESULTS: In 49 subjects, 151 clinically strong muscles developed weakness and were included for analysis. The average monthly relative loss of MUNIX was 5.0% before and 5.6% after onset of weakness. This rate of change was significantly higher compared to ALS functional rating scale (ALSFRS-R) and compound muscle action potential (CMAP) change over 12months prior to the onset of muscle weakness (p=0.024).
CONCLUSION: MUNIX is an electrophysiological marker that detects lower motor neuron loss in ALS, before clinical weakness becomes apparent by manual muscle testing. SIGNIFICANCE: This makes MUNIX a good biomarker candidate for disease progression and possibly pharmacodynamics responds. Copyright Â
© 2016 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ALSFRS-R; Biomarker; MUNIX; Multicentre; Pre-symptomatic ALS

Mesh:

Year:  2016        PMID: 28043769     DOI: 10.1016/j.clinph.2016.11.026

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  10 in total

1.  Intraspinal Transplantation of the Adipose Tissue-Derived Regenerative Cells in Amyotrophic Lateral Sclerosis in Accordance with the Current Experts' Recommendations: Choosing Optimal Monitoring Tools.

Authors:  Magdalena Kuzma-Kozakiewicz; Andrzej Marchel; Anna Kaminska; Malgorzata Gawel; Jan Sznajder; Anna Figiel-Dabrowska; Arkadiusz Nowak; Edyta Maj; Natalia Ewa Krzesniak; Bartlomiej H Noszczyk; Krystyna Domanska-Janik; Anna Sarnowska
Journal:  Stem Cells Int       Date:  2018-08-12       Impact factor: 5.443

2.  Modified motor unit number index (MUNIX) algorithm for assessing excitability of alpha motor neuron in spasticity.

Authors:  Serkan Uslu; Tunca Nüzket; Hilmi Uysal
Journal:  Clin Neurophysiol Pract       Date:  2018-06-25

3.  SPiQE: An automated analytical tool for detecting and characterising fasciculations in amyotrophic lateral sclerosis.

Authors:  J Bashford; A Wickham; R Iniesta; E Drakakis; M Boutelle; K Mills; C Shaw
Journal:  Clin Neurophysiol       Date:  2019-04-19       Impact factor: 3.708

Review 4.  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

Review 5.  An overview of motor unit number index reproducibility in amyotrophic lateral sclerosis.

Authors:  Davood Fathi; Shahriar Nafissi; Shahram Attarian; Christoph Neuwirth; Farzad Fatehi
Journal:  Iran J Neurol       Date:  2019-07-06

6.  The rise and fall of fasciculations in amyotrophic lateral sclerosis.

Authors:  James A Bashford; Aidan Wickham; Raquel Iniesta; Emmanuel M Drakakis; Martyn G Boutelle; Kerry R Mills; Chris E Shaw
Journal:  Brain Commun       Date:  2020-02-20

7.  Lipidomic traits of plasma and cerebrospinal fluid in amyotrophic lateral sclerosis correlate with disease progression.

Authors:  Joaquim Sol; Mariona Jové; Monica Povedano; William Sproviero; Raul Domínguez; Gerard Piñol-Ripoll; Ricardo Romero-Guevara; Abdul Hye; Ammar Al-Chalabi; Pascual Torres; Pol Andres-Benito; Estela Area-Gómez; Reinald Pamplona; Isidro Ferrer; Victòria Ayala; Manuel Portero-Otín
Journal:  Brain Commun       Date:  2021-06-26

8.  Motor unit number index (MUNIX) in the D50 disease progression model reflects disease accumulation independently of disease aggressiveness in ALS.

Authors:  Theresa Ebersbach; Annekathrin Roediger; Robert Steinbach; Martin Appelfeller; Anke Tuemmler; Beatrice Stubendorff; Simon Schuster; Meret Herdick; Hubertus Axer; Otto W Witte; Julian Grosskreutz
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

9.  Combinatory Biomarker Use of Cortical Thickness, MUNIX, and ALSFRS-R at Baseline and in Longitudinal Courses of Individual Patients With Amyotrophic Lateral Sclerosis.

Authors:  Anna M Wirth; Andrei Khomenko; Dobri Baldaranov; Ines Kobor; Ohnmar Hsam; Thomas Grimm; Siw Johannesen; Tim-Henrik Bruun; Wilhelm Schulte-Mattler; Mark W Greenlee; Ulrich Bogdahn
Journal:  Front Neurol       Date:  2018-07-30       Impact factor: 4.003

10.  The evolving role of surface electromyography in amyotrophic lateral sclerosis: A systematic review.

Authors:  J Bashford; K Mills; C Shaw
Journal:  Clin Neurophysiol       Date:  2019-12-27       Impact factor: 3.708

  10 in total

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