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Abstract
The neurophysiological technique motor unit number index (MUNIX) is increasingly used in clinical trials to measure loss of motor units. However, the heterogeneous disease course in amyotrophic lateral sclerosis (ALS) obfuscates robust correlations between clinical status and electrophysiological assessments. To address this heterogeneity, MUNIX was applied in the D50 disease progression model by analyzing disease aggressiveness (D50) and accumulation (rD50 phase) in ALS separately. 237 ALS patients, 45 controls and 22 ALS-Mimics received MUNIX of abductor pollicis brevis (APB), abductor digiti minimi (ADM) and tibialis anterior (TA) muscles. MUNIX significantly differed between controls and ALS patients and between ALS-Mimics and controls. Within the ALS cohort, significant differences between Phase I and II revealed in MUNIX, compound muscle action potential (CMAP) and motor unit size index (MUSIX) of APB as well as in MUNIX and CMAP of TA. For the ADM, significant differences occurred later in CMAP and MUNIX between Phase II and III/IV. In contrast, there was no significant association between disease aggressiveness and MUNIX. In application of the D50 disease progression model, MUNIX can demonstrate disease accumulation already in early Phase I and evaluate effects of therapeutic interventions in future therapeutic trials independent of individual disease aggressiveness.
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Details
1 Jena University Hospital, Department of Neurology, Jena, Germany (GRID:grid.275559.9) (ISNI:0000 0000 8517 6224)
2 University of Lübeck, Precision Neurology, Lübeck, Germany (GRID:grid.4562.5) (ISNI:0000 0001 0057 2672)
3 Jena University Hospital, Department of Neurology, Jena, Germany (GRID:grid.275559.9) (ISNI:0000 0000 8517 6224); Jena University Hospital, Center for Healthy Ageing, Jena, Germany (GRID:grid.275559.9) (ISNI:0000 0000 8517 6224)
4 University of Lübeck, Precision Neurology, Lübeck, Germany (GRID:grid.4562.5) (ISNI:0000 0001 0057 2672); Jena University Hospital, Center for Healthy Ageing, Jena, Germany (GRID:grid.275559.9) (ISNI:0000 0000 8517 6224)