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Grapperon AM, Harlay V, Boucekine M, Devos D, Rolland AS, Desnuelle C, Delmont E, Verschueren A, Attarian S. Could the motor unit number index be an early prognostic biomarker for amyotrophic lateral sclerosis? Clin Neurophysiol 2024; 163:47-55. [PMID: 38703699 DOI: 10.1016/j.clinph.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVE To evaluate the associations between motor unit number index (MUNIX) and disease progression and prognosis in amyotrophic lateral sclerosis (ALS) in a large-scale longitudinal study. METHODS MUNIX was performed at the patient's first visit, at 3, 6, and 12 months in 4 muscles. MUNIX data from the patients were compared with those from 38 age-matched healthy controls. Clinical data included the revised ALS functional rating scale (ALSFRS-R), the forced vital capacity (FVC), and the survival of the patients. RESULTS Eighty-two patients were included at baseline, 62 were evaluated at three months, 48 at six months, and 33 at twelve months. MUNIX score was lower in ALS patients compared to controls. At baseline, MUNIX was correlated with ALSFRS-R and FVC. Motor unit size index (MUSIX) was correlated with patient survival. Longitudinal analyses showed that MUNIX decline was greater than ALSFRS-R decline at each evaluation. A baseline MUNIX score greater than 378 predicted survival over the 12-month period with a sensitivity of 82% and a specificity of 56%. CONCLUSIONS This longitudinal study suggests that MUNIX could be an early quantitative marker of disease progression and prognosis in ALS. SIGNIFICANCE MUNIX might be considered as potential indicator for monitoring disease progression.
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Affiliation(s)
- Aude-Marie Grapperon
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France.
| | - Vincent Harlay
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France
| | - Mohamed Boucekine
- Aix Marseille University, Center for Studies and Research on Health Services and Quality of Life, Marseille, France
| | - David Devos
- Department of Medical Pharmacology, Expert Center of ALS Lille University, INSERM UMRS_1772, Lille University Hospital, LICEND COEN Centre, LilNCog - Lille Neuroscience & Cognition, 59000, ACT4ALS-MND Network, France
| | - Anne-Sophie Rolland
- Department of Medical Pharmacology, Expert Center of ALS Lille University, INSERM UMRS_1772, Lille University Hospital, LICEND COEN Centre, LilNCog - Lille Neuroscience & Cognition, 59000, ACT4ALS-MND Network, France
| | - Claude Desnuelle
- Côte d'Azur University, Medical Faculty of Nice, Department of Neurology, Nice, France
| | - Emilien Delmont
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France
| | - Annie Verschueren
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France
| | - Shahram Attarian
- APHM, Timone University Hospital, Referral Center for Neuromuscular Diseases and ALS, ERN Euro-NMD Center, Marseille, France; Aix Marseille University, Inserm, GMGF, Marseille, France
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Xue S, Gao F, Wu X, Xu Q, Weng X, Zhang Q. MUNIX repeatability evaluation method based on FastICA demixing. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:16362-16382. [PMID: 37920016 DOI: 10.3934/mbe.2023730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
To enhance the reproducibility of motor unit number index (MUNIX) for evaluating neurological disease progression, this paper proposes a negative entropy-based fast independent component analysis (FastICA) demixing method to assess MUNIX reproducibility in the presence of inter-channel mixing of electromyography (EMG) signals acquired by high-density electrodes. First, composite surface EMG (sEMG) signals were obtained using high-density surface electrodes. Second, the FastICA algorithm based on negative entropy was employed to determine the orthogonal projection matrix that minimizes the negative entropy of the projected signal and effectively separates mixed sEMG signals. Finally, the proposed experimental approach was validated by introducing an interrelationship criterion to quantify independence between adjacent channel EMG signals, measuring MUNIX repeatability using coefficient of variation (CV), and determining motor unit number and size through MUNIX. Results analysis shows that the inclusion of the full (128) channel sEMG information leads to a reduction in CV value by $1.5 \pm 0.1$ and a linear decline in CV value with an increase in the number of channels. The correlation between adjacent channels in participants decreases by $0.12 \pm 0.05$ as the number of channels gradually increases. The results demonstrate a significant reduction in the number of interrelationships between sEMG signals following negative entropy-based FastICA processing, compared to the mixed sEMG signals. Moreover, this decrease in interrelationships becomes more pronounced with an increasing number of channels. Additionally, the CV of MUNIX gradually decreases with an increase in the number of channels, thereby optimizing the issue of abnormal MUNIX repeatability patterns and further enhancing the reproducibility of MUNIX based on high-density surface EMG signals.
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Affiliation(s)
- Suqi Xue
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Farong Gao
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Xudong Wu
- Department of Orthopedics, Zhoushan Hospital of Traditional Chinese Medicine, Zhoushan 316000, China
| | - Qun Xu
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Xuecheng Weng
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Qizhong Zhang
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
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Motor unit number index (MUNIX) loss of 50% occurs in half the time of 50% functional loss according to the D50 disease progression model of ALS. Sci Rep 2023; 13:3981. [PMID: 36894607 PMCID: PMC9998642 DOI: 10.1038/s41598-023-30871-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 03/02/2023] [Indexed: 03/11/2023] Open
Abstract
Capturing disease progression in amyotrophic lateral sclerosis (ALS) is challenging and refinement of progression markers is urgently needed. This study introduces new motor unit number index (MUNIX), motor unit size index (MUSIX) and compound muscle action potential (CMAP) parameters called M50, MUSIX200 and CMAP50. M50 and CMAP50 indicate the time in months from symptom onset an ALS patient needs to lose 50% of MUNIX or CMAP in relation to the mean values of controls. MUSIX200 represents the time in months until doubling of the mean MUSIX of controls. We used MUNIX parameters of Musculi abductor pollicis brevis (APB), abductor digiti minimi (ADM) and tibialis anterior (TA) of 222 ALS patients. Embedded in the D50 disease progression model, disease aggressiveness and accumulation were analyzed separately. M50, CMAP50 and MUSIX200 significantly differed among disease aggressiveness subgroups (p < 0.001) regardless of disease accumulation. ALS patients with a low M50 had a significantly shorter survival compared to high M50 (median 32 versus 74 months). M50 preceded the loss of global function (median of about 14 months). M50, CMAP50 and MUSIX200 characterize the disease course in ALS in a new way and may be applied as early measures of disease progression.
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Xu Q, Xue S, Gao F, Wu Q, Zhang Q. Evaluation method of motor unit number index based on optimal muscle strength combination. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:3854-3872. [PMID: 36899608 DOI: 10.3934/mbe.2023181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Repeatability is an important attribute of motor unit number index (MUNIX) technology. This paper proposes an optimal contraction force combination for MUNIX calculation in an effort to improve the repeatability of this technology. In this study, the surface electromyography (EMG) signals of the biceps brachii muscle of eight healthy subjects were initially recorded with high-density surface electrodes, and the contraction strength was the maximum voluntary contraction force of nine progressive levels. Then, by traversing and comparing the repeatability of MUNIX under various combinations of contraction force, the optimal combination of muscle strength is determined. Finally, calculate MUNIX using the high-density optimal muscle strength weighted average method. The correlation coefficient and the coefficient of variation are utilized to assess repeatability. The results show that when the muscle strength combination is 10, 20, 50 and 70% of the maximum voluntary contraction force, the repeatability of MUNIX is greatest, and the correlation between MUNIX calculated using this combination of muscle strength and conventional methods is high (PCC > 0.99), the repeatability of the MUNIX method improved by 11.5-23.8%. The results indicate that the repeatability of MUNIX differs for various combinations of muscle strength and that MUNIX, which is measured with a smaller number and lower-level contractility, has greater repeatability.
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Affiliation(s)
- Qun Xu
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Suqi Xue
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Farong Gao
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Qiuxuan Wu
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Qizhong Zhang
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China
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Boulay C, Delmont E, Audic F, Chabrol B, Attarian S. Motor unit number index: A potential electrophysiological biomarker for pediatric spinal muscular atrophy. Muscle Nerve 2021; 64:445-453. [PMID: 34255873 DOI: 10.1002/mus.27372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 07/05/2021] [Accepted: 07/09/2021] [Indexed: 11/08/2022]
Abstract
INTRODUCTION/AIMS In adult spinal muscular atrophy (SMA), the motor unit number index (MUNIX) has been shown to be an useful electrophysiological biomarker. This study evaluated the feasibility and the clinical relevance of using the MUNIX technique for patients with pediatric SMA (Ped-SMA) and correlated MUNIX results with clinical scores. METHODS Fourteen patients with type II Ped-SMA (11 females; median age 11 y [interquartile range (IQR), 4.8-17 y]) and 14 controls (nine females; median age 10.75 y [IQR, 6.5-13.4 y]) were enrolled and matched by sex, age, height, weight, and body mass index. Clinical examination included manual muscle testing, dynamometry (grasp and pinch), and motor function measure (MFM). The MUNIX technique was evaluated in the abductor digiti minimi (ADM) and abductor pollicis brevis (APB) on two sides when possible. RESULTS In the patients with Ped-SMA, the MUNIX and compound muscle action potential (CMAP) amplitudes were significantly decreased and the motor size unit index (MUSIX) was significantly increased in the ADM and APB when compared to controls. The intraclass correlation coefficient was good for the intrarater variability of the CMAP amplitude, MUNIX, and MUSIX in the ADM (0.95, 0.83, and 0.89, respectively) and the APB (0.98, 0.96, and 0.94, respectively). The total CMAP amplitude correlated with the grasp and pinch scores (P < .05), and the MUNIX measurements correlated with the MFM scores. DISCUSSION The MUNIX technique, which accurately estimated lower motor neuron loss and the number of remaining functional motor units, was shown to be a useful electrophysiological biomarker for disease progression and a potential biomarker for treatment response.
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Affiliation(s)
- Christophe Boulay
- Neuropediatric Department, Children Timone University Hospital, Aix-Marseille University, Marseille, France.,Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France.,Aix-Marseille University, CNRS, ISM UMR 7287, Marseille, France
| | - Emilien Delmont
- Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France.,Aix-Marseille University, UMR 7286, Medicine Faculty, Marseille, France
| | - Frédérique Audic
- Neuropediatric Department, Children Timone University Hospital, Aix-Marseille University, Marseille, France.,Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France
| | - Brigitte Chabrol
- Neuropediatric Department, Children Timone University Hospital, Aix-Marseille University, Marseille, France.,Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France.,Aix-Marseille University, Inserm UMR S 910, Medical Genetics and Functional Genomics, Marseille, France
| | - Shahram Attarian
- Reference Center for Neuromuscular Diseases and ALS Timone University Hospital, Aix-Marseille University, Marseille, France.,Aix-Marseille University, Inserm UMR S 910, Medical Genetics and Functional Genomics, Marseille, France
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Bashford J, Mills K, Shaw C. The evolving role of surface electromyography in amyotrophic lateral sclerosis: A systematic review. Clin Neurophysiol 2020; 131:942-950. [PMID: 32044239 PMCID: PMC7083223 DOI: 10.1016/j.clinph.2019.12.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 11/23/2019] [Accepted: 12/14/2019] [Indexed: 01/25/2023]
Abstract
OBJECTIVE Amyotrophic lateral sclerosis (ALS) is an adult-onset neurodegenerative disease that leads to inexorable motor decline and a median survival of three years from symptom onset. Surface EMG represents a major technological advance that has been harnessed in the development of novel neurophysiological biomarkers. We have systematically reviewed the current application of surface EMG techniques in ALS. METHODS We searched PubMed to identify 42 studies focusing on surface EMG and its associated analytical methods in the diagnosis, prognosis and monitoring of ALS patients. RESULTS A wide variety of analytical techniques were identified, involving motor unit decomposition from high-density grids, motor unit number estimation and measurements of neuronal hyperexcitability or neuromuscular architecture. Some studies have proposed specific diagnostic and prognostic criteria however clinical calibration in large ALS cohorts is currently lacking. The most validated method to monitor disease is the motor unit number index (MUNIX), which has been implemented as an outcome measure in two ALS clinical trials. CONCLUSION Surface EMG offers significant practical and analytical flexibility compared to invasive techniques. To capitalise on this fully, emphasis must be placed upon the multi-disciplinary collaboration of clinicians, bioengineers, mathematicians and biostatisticians. SIGNIFICANCE Surface EMG techniques can enrich effective biomarker development in ALS.
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Affiliation(s)
- J. Bashford
- UK Dementia Research Institute, Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
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Chipika RH, Finegan E, Li Hi Shing S, Hardiman O, Bede P. Tracking a Fast-Moving Disease: Longitudinal Markers, Monitoring, and Clinical Trial Endpoints in ALS. Front Neurol 2019; 10:229. [PMID: 30941088 PMCID: PMC6433752 DOI: 10.3389/fneur.2019.00229] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Accepted: 02/22/2019] [Indexed: 12/13/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) encompasses a heterogeneous group of phenotypes with different progression rates, varying degree of extra-motor involvement and divergent progression patterns. The natural history of ALS is increasingly evaluated by large, multi-time point longitudinal studies, many of which now incorporate presymptomatic and post-mortem assessments. These studies not only have the potential to characterize patterns of anatomical propagation, molecular mechanisms of disease spread, but also to identify pragmatic monitoring markers. Sensitive markers of progressive neurodegenerative change are indispensable for clinical trials and individualized patient care. Biofluid markers, neuroimaging indices, electrophysiological markers, rating scales, questionnaires, and other disease-specific instruments have divergent sensitivity profiles. The discussion of candidate monitoring markers in ALS has a dual academic and clinical relevance, and is particularly timely given the increasing number of pharmacological trials. The objective of this paper is to provide a comprehensive and critical review of longitudinal studies in ALS, focusing on the sensitivity profile of established and emerging monitoring markers.
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Affiliation(s)
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
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Fatehi F, Grapperon AM, Fathi D, Delmont E, Attarian S. The utility of motor unit number index: A systematic review. Neurophysiol Clin 2018; 48:251-259. [PMID: 30287192 DOI: 10.1016/j.neucli.2018.09.001] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Revised: 09/04/2018] [Accepted: 09/11/2018] [Indexed: 12/11/2022] Open
Abstract
The need for a valid biomarker for assessing disease progression and for use in clinical trials on amyotrophic lateral sclerosis (ALS) has stimulated the study of methods that could measure the number of motor units. Motor unit number index (MUNIX) is a newly developed neurophysiological technique that was demonstrated to have a good correlation with the number of motor units in a given muscle, even though it does not necessarily accurately express the actual number of viable motor neurons. Several studies demonstrated the technique is reproducible and capable of following motor neuron loss in patients with ALS and peripheral polyneuropathies. The main goal of this review was to conduct an extensive review of the literature using MUNIX. We conducted a systematic search in English medical literature published in two databases (PubMed and SCOPUS). In this review, we aimed to answer the following queries: Comparison of MUNIX with other MUNE techniques; the reproducibility of MUNIX; the utility of MUNIX in ALS and preclinical muscles, peripheral neuropathies, and other neurological disorders.
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Affiliation(s)
- Farzad Fatehi
- Reference Center for Neuromuscular Diseases and ALS, Timone University Hospital, 13385 Marseille, France; Department of Neurology, Iranian Center of Neurological Research, Neuroscience Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Aude-Marie Grapperon
- Reference Center for Neuromuscular Diseases and ALS, Timone University Hospital, 13385 Marseille, France
| | - Davood Fathi
- Department of Neurology, Iranian Center of Neurological Research, Neuroscience Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran; Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Emilien Delmont
- Reference Center for Neuromuscular Diseases and ALS, Timone University Hospital, 13385 Marseille, France
| | - Shahram Attarian
- Reference Center for Neuromuscular Diseases and ALS, Timone University Hospital, 13385 Marseille, France; Inserm, GMGF, Aix-Marseille University, Marseille, 13385 France.
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Querin G, Lenglet T, Debs R, Stojkovic T, Behin A, Salachas F, Le Forestier N, Amador MDM, Lacomblez L, Meininger V, Bruneteau G, Laforêt P, Blancho S, Marchand-Pauvert V, Bede P, Hogrel JY, Pradat PF. The motor unit number index (MUNIX) profile of patients with adult spinal muscular atrophy. Clin Neurophysiol 2018; 129:2333-2340. [PMID: 30248623 DOI: 10.1016/j.clinph.2018.08.025] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 07/27/2018] [Accepted: 08/27/2018] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Objective of this study is the comprehensive characterisation of motor unit (MU) loss in type III and IV Spinal Muscular Atrophy (SMA) using motor unit number index (MUNIX), and evaluation of compensatory mechanisms based on MU size indices (MUSIX). METHODS Nineteen type III and IV SMA patients and 16 gender- and age-matched healthy controls were recruited. Neuromuscular performance was evaluated by muscle strength testing and functional scales. Compound motor action potential (CMAP), MUNIX and MUSIX were studied in the abductor pollicis brevis (APB), abductor digiti minimi (ADM), deltoid, tibialis anterior and trapezius muscles. A composite MUNIX score was also calculated. RESULTS SMA patients exhibited significantly reduced MUNIX values (p < 0.05) in all muscles, while MUSIX was increased, suggesting active re-innervation. Significant correlations were identified between MUNIX/MUSIX and muscle strength. Similarly, composite MUNIX scores correlated with disability scores. Interestingly, in SMA patients MUNIX was much lower in the ADM than in the ABP, a pattern which is distinctly different from that observed in Amyotrophic Lateral Sclerosis. CONCLUSIONS MUNIX is a sensitive measure of MU loss in adult forms of SMA and correlates with disability. SIGNIFICANCE MUNIX evaluation is a promising candidate biomarker for longitudinal studies and pharmacological trials in adult SMA patients.
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Affiliation(s)
- Giorgia Querin
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Timothée Lenglet
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; APHP, Hôpital Pitié-Salpêtriere, Service d'Explorations Fonctionnelles, Paris, France
| | - Rabab Debs
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; APHP, Hôpital Pitié-Salpêtriere, Service d'Explorations Fonctionnelles, Paris, France
| | - Tanya Stojkovic
- APHP, Centre de Référence Maladies Neuromusculaires Paris-Est, Institut de Myologie, Hôpital Pitié-Salpêtrière, Paris, France
| | - Anthony Behin
- APHP, Centre de Référence Maladies Neuromusculaires Paris-Est, Institut de Myologie, Hôpital Pitié-Salpêtrière, Paris, France
| | - François Salachas
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Nadine Le Forestier
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; Département de recherche en éthique, EA 1610: Etudes des sciences et techniques, Université Paris Sud/Paris Saclay, Paris, France
| | - Maria Del Mar Amador
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Lucette Lacomblez
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Vincent Meininger
- Hôpital des Peupliers, Ramsay Générale de Santé, F-75013 Paris, France
| | - Gaelle Bruneteau
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France
| | - Pascal Laforêt
- Neurology Department, Nord/Est/Ile de France Neuromuscular Center, Raymond-Poincaré Hospital, Garches, France; INSERM U1179, END-ICAP, Versailles Saint-Quentin-en-Yvelines University, Montigny-le-Bretonneux, France
| | - Sophie Blancho
- Institut pour la Recherche sur la Moelle Epinière et l'Encéphale (IRME), Paris, France
| | | | - Peter Bede
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; Computational Neuroimaging Group, Academic Unit of Neurology, Trinity College Dublin, Ireland
| | - Jean-Yves Hogrel
- Institute of Myology, Neuromuscular Investigation Center, Paris, France; Institut pour la Recherche sur la Moelle Epinière et l'Encéphale (IRME), Paris, France
| | - Pierre-François Pradat
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre référent SLA, Paris, France; Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute Ulster University, C-TRIC, Altnagelvin Hospital, Derry/Londonderry, United Kingdom.
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Intraspinal Transplantation of the Adipose Tissue-Derived Regenerative Cells in Amyotrophic Lateral Sclerosis in Accordance with the Current Experts' Recommendations: Choosing Optimal Monitoring Tools. Stem Cells Int 2018; 2018:4392017. [PMID: 30158984 PMCID: PMC6109475 DOI: 10.1155/2018/4392017] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Revised: 05/26/2018] [Accepted: 06/14/2018] [Indexed: 12/11/2022] Open
Abstract
Stem cells (SCs) may constitute a perspective alternative to pharmacological treatment in neurodegenerative diseases. Although the safety of SC transplantation has been widely shown, their clinical efficiency in amyotrophic lateral sclerosis (ALS) is still to be proved. It is not only due to a limited number of studies, small treatment groups, and fast but nonlinear disease progression but also due to lack of objective methods able to show subtle clinical changes. Preliminary guidelines for cell therapy have recently been proposed by a group of ALS experts. They combine clinical, neurophysiological, and functional assessment together with monitoring of the cytokine level. Here, we describe a pilot study on transplantation of autologous adipose-derived regenerative cells (ADRC) into the spinal cord of the patients with ALS and monitoring of the results in accordance with the current recommendations. To show early and/or subtle changes within the muscles of interest, a wide range of clinical and functional tests were used and compared in order to choose the most sensitive and optimal set. Additionally, an analysis of transplanted ADRC was provided to develop standards ensuring the derivation and verification of adequate quality of transplanted cells and to correlate ADRC properties with clinical outcome.
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Neuwirth C, Weber M. Unmasking the silent motor neuron loss in amyotrophic lateral sclerosis. Muscle Nerve 2018; 58:184-185. [PMID: 29572875 DOI: 10.1002/mus.26134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 03/20/2018] [Accepted: 03/21/2018] [Indexed: 11/07/2022]
Affiliation(s)
- Christoph Neuwirth
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St Gallen, Rorschacherstrasse 95 St Gallen, CH-9007, Switzerland
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St Gallen, Rorschacherstrasse 95 St Gallen, CH-9007, Switzerland
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Escorcio‐Bezerra ML, Abrahao A, Nunes KF, De Oliveira Braga NI, Oliveira ASB, Zinman L, Manzano GM. Motor unit number index and neurophysiological index as candidate biomarkers of presymptomatic motor neuron loss in amyotrophic lateral sclerosis. Muscle Nerve 2018; 58:204-212. [DOI: 10.1002/mus.26087] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 01/23/2018] [Accepted: 01/24/2018] [Indexed: 12/31/2022]
Affiliation(s)
- Marcio Luiz Escorcio‐Bezerra
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
| | - Agessandro Abrahao
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
- Sunnybrook Health Sciences Centre, Division of Neurology, Department of MedicineUniversity of TorontoToronto Ontario Canada
| | - Karlo Faria Nunes
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
| | - Nadia Iandoli De Oliveira Braga
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
| | - Acary Souza Bulle Oliveira
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
| | - Lorne Zinman
- Sunnybrook Health Sciences Centre, Division of Neurology, Department of MedicineUniversity of TorontoToronto Ontario Canada
| | - Gilberto Mastrocola Manzano
- Department of Neurology and NeurosurgeryEscola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo, 65004039‐002São Paulo SP Brazil
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