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| ID | Type | Description | Link |
|---|---|---|---|
| 2013-A00969-36 | Other Identifier | ID RCB number, ANSM |
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Amyotrophic lateral sclerosis (ALS) is a complex polymorph and devastating neurodegenerative disease. Although the pathophysiological mechanisms underlying the development of ALS remain to be fully elucidated, there have been significant advances in the understanding of ALS pathogenesis, with evidence emerging of a complex interaction between genetic factors and dysfunction of vital molecular pathways. However, the numerous randomized clinical trials (RCT) for ALS have failed to generate improved drug treatments. Biomarkers able to bring prognostic value and to distinguish the different endophenotypes of this polymorphic disease could help to better select clusters of patients in order to improve the RCT outcomes. However, little progress has been made in the development of viable diagnostic, prognostic and monitoring markers. This could be explained by common shortcomings, such as relatively small sample sizes, statistically underpowered study designs, lack of disease controls and poorly characterized patient cohorts. It is yet crucial that the investigators further develop and validate ALS biomarkers and incorporate these biomarkers into the drug development pipeline for ALS.
The aim of the present study is therefore to determine the clinical, biological, imaging, and electrophysiological biomarkers of prognosis of survival without events (i.e. severe comorbidity, 24 hours of non invasive ventilation, tracheotomy). This is a prospective observational multicentric French study of a cohort of 1000 ALS patients.
This large multimodal database will be open for international fruitful scientific collaborations.
This is a prospective observational multicentric French study of a cohort of 1000 ALS patients, 100 neurological controls and 200 healthy controls followed from the first signs to the end of the disease.
The aim of the present study is therefore to determine the clinical, biological, imaging, and electrophysiological biomarkers of prognosis of survival without events (i.e. severe comorbidity, 24 hours of non invasive ventilation, tracheotomy).
Secondary objectives will notably include i) the biomarkers of disease progression ii) biomarkers of diagnosis as compared with controls iii) the determination of the different endophenotypes according to the prognosis, the genetic profiles and the initial clinical presentations. Criteria of assessment will notably include detailed medical history, habitus, past and present treatments, vascular risk factors, ALSFRS-R, muscular testing, respiratory parameters including early nocturnal saturation and apneal profile, the detailed and predetermined clinical presentations, extensive cognitive and behavioral examination, extensive blood, cerebrospinal fluid, urines biological tests, genetic analyses, multiple brain and spinal MRI sequences, and electrophysiological tests (i.e. electromyogram, MUNIX, triple stimulation). Invasive tests will be optional (i.e. lumbar puncture, skin biopsies, muscular biopsies).
The large number of patients will allow in depth statistical analyses, notably to establish decisional trees (CHAID).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| patients | follow up of patients with amyotrophic lateral sclerosis from the first signs to the end of the disease |
| |
| neurological controls | patients with other neurological disease |
| |
| healthy controls | age matched healthy controls |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| biomarkers (composite analysis) | Other | biological, imaging, electrophysiological and anatomopathological examinations |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change of biomarkers of survival | The predictive value of the clinical, biological, imaging, and electrophysiological biomarkers of survival will be analyzed according to the life duration (months) without events (i.e. severe comorbidity, 24 hours of non invasive ventilation, tracheotomy) | From date of randomization until the date of first documented progression , assessed up to 100 months |
| Measure | Description | Time Frame |
|---|---|---|
| Change of biomarkers of disease progression | The predictive value of the clinical, biological, imaging, and electrophysiological biomarkers of prognosis will be analyzed according to the rate of progression of the ALSFRS-R score | baseline, 3 months, 6 months, 9 months, 12 months, 15 months, 24 months, 36 months, 48 months (average) |
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Inclusion Criteria for ALS patients:
Inclusion Criteria for healthy controls:
Inclusion Criteria for neurological controls:
Exclusion Criteria:
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Multicentric French cohort of 1000 ALS patients, 100 neurological controls and 200 healthy controls
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| Name | Affiliation | Role |
|---|---|---|
| David Devos, MD, PhD | University Hospital, Lille | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU Pontchaillou | Angers | France | ||||
| CHU Cote de Nacre |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29379040 | Result | Grolez G, Kyheng M, Lopes R, Moreau C, Timmerman K, Auger F, Kuchcinski G, Duhamel A, Jissendi-Tchofo P, Besson P, Laloux C, Petrault M, Devedjian JC, Perez T, Pradat PF, Defebvre L, Bordet R, Danel-Brunaud V, Devos D. MRI of the cervical spinal cord predicts respiratory dysfunction in ALS. Sci Rep. 2018 Jan 29;8(1):1828. doi: 10.1038/s41598-018-19938-2. | |
| 38703699 |
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| ID | Term |
|---|---|
| D000690 | Amyotrophic Lateral Sclerosis |
| D016472 | Motor Neuron Disease |
| ID | Term |
|---|---|
| D013118 | Spinal Cord Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D019636 | Neurodegenerative Diseases |
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| ID | Term |
|---|---|
| D015415 | Biomarkers |
| ID | Term |
|---|---|
| D001685 | Biological Factors |
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whole blood, serum, white cells, platelets, cerebrospinal fluid,skin, muscle, brains
| Clinical endophenotypes according to the survival duration |
The determination of the different clinical, biological, radiological and electrophysiological endophenotypes (clusters of the same characteristics) according to the survival duration |
| From date of randomization until the date of death related with ALS or tracheotomy or continuous non invasive ventilation (24 hours a day), whichever came first, assessed up to 100 months |
| Genetic endophenotypes | the determination of the different clinical, biological, radiological and electrophysiological endophenotypes (clusters of the same characteristics) according to the according to the genetic forms (SOD1, TDP43, FUS, C9orf72,...) | the date of death related with ALS or tracheotomy or continuous non invasive ventilation (24 hours a day), whichever came first, assessed up to 100 months |
| Caen |
| France |
| CHU Gabriel Montpied | Clermont-Ferrand | France |
| CHRU, Hôpital Salengro | Lille | France |
| Hôpital Dupuytren | Limoges | France |
| Hôpital Neurologique Pierre Wertheimer | Lyon | France |
| AP-HM,Hôpital de la Timone | Marseille | France |
| Hôpital Gui de Chauliac | Montpellier | France |
| Hôpital de l'Archet 1, CHU | Nice | France |
| Hôpital La Pitié (AP-HP) | Paris | France |
| Centre Hospitalier | Saint-Brieuc | France |
| Hôpital Nord | Saint-Etienne | France |
| CHU Bretonneau | Tours | France |
| 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 Jul;163:47-55. doi: 10.1016/j.clinph.2024.04.013. Epub 2024 Apr 26. |
| 35194965 | Derived | Le Gall L, Duddy WJ, Martinat C, Mariot V, Connolly O, Milla V, Anakor E, Ouandaogo ZG, Millecamps S, Laine J, Vijayakumar UG, Knoblach S, Raoul C, Lucas O, Loeffler JP, Bede P, Behin A, Blasco H, Bruneteau G, Del Mar Amador M, Devos D, Henriques A, Hesters A, Lacomblez L, Laforet P, Langlet T, Leblanc P, Le Forestier N, Maisonobe T, Meininger V, Robelin L, Salachas F, Stojkovic T, Querin G, Dumonceaux J, Butler Browne G, Gonzalez De Aguilar JL, Duguez S, Pradat PF. Muscle cells of sporadic amyotrophic lateral sclerosis patients secrete neurotoxic vesicles. J Cachexia Sarcopenia Muscle. 2022 Apr;13(2):1385-1402. doi: 10.1002/jcsm.12945. Epub 2022 Feb 22. |
| D057177 | TDP-43 Proteinopathies |
| D009468 | Neuromuscular Diseases |
| D057165 | Proteostasis Deficiencies |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |