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Myositis are rare diseases for which the development of a cohort associated with a bank of biological samples (biobank) will allow for the conduct of researches to better delineate the underlying pathophysiology and find cures. This prospective cohort of patients with myositis will allow for identification of factors favouring the occurrence of myositis, whether they are constitutional (genetic) or acquired (environmental or drug). Different subgroups of myositis used for prognostication will be identified based on clinico-demographical variables, the nature of the organs involved beyond peripheral muscles (cardiac, diaphragm) and biomarkers abnormalities.
Myositis is a rare autoimmune disease in which the immune system mistakenly attacks the patient's own peripheral muscles. This aggression manifests by muscle inflammation and necrosis responsible for a motor deficit of varying severity.
The treatments available today are insufficient and are non-specific. Biological criteria, issued from simple blood or muscle tests are missing, and they will help to define the activity of the disease and the efficacy of treatments.
The MASC protocol will include patients with myositis, and investigators will collect clinical, radiological, electrophysiological, histological and biological data to be used for researches aiming at better understanding this entity. A biobank (muscle biopsy, DNA, serum, plasma, PBMCs) will be acquired on this prospective cohort.
The study itself will be composed of a baseline visit and monthly to yearly follow-up visits which will assess:
Clinical examination with an evaluation of the muscle strength and function impairment/handicap, including but not limited to:
Biometry, lab and radiological measurements: muscle enzymes (creatine phosphokinase CPK, troponin, C-reactive protein, quantification of autoantibodies, muscle MRI, muscle biopsy, thorax tomodensitometry, pulmonary test function
Extra-muscular evaluation: cardiac examination and work-up (echocardiography, cardiac MRI and Positron Emission Tomography (PET) scanner, cardiac biopsies), pulmonary evaluation, rheumatological and dermatological assessment, history of thromboembolic disease and cancer
Patient activity assessment: evaluation of daily life activity by both patient and physician using a Visual Analogue Scale
For each patient, the date of last visit or contact will be collected as well as outcomes, particularly for the cause of death if relevant.
Data from the biobank MASC " Muscles DNA/RNA Serum and Cells " will be added to other data. The biobank has been fully registered with local authorities and ethical committees ("Committee for Personal Protection (CPP)" CPP agreement). It contains peripheral blood mononuclear cells (PBMC), serum, DNA and RNA from blood and muscular biopsies collected at the diagnosis stage. The database contains immunological and genetical data.
This prospective study will also aim at:
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| Measure | Description | Time Frame |
|---|---|---|
| Characterisation of the different myositis subgroups based on clinical, radiological, electrophysiological and histo-biological evaluations | Characterisation of the different myositis subgroups based on clinical, radiological, electrophysiological and histo-biological evaluations, including but not limited to: sexe, age, profession, a history of infection, cancer or other autoimmune and inflammatory diseases, diagnosis criteria, creatine phosphokinase, autoantibodies, immune systeme evaluation based on peripheral blood mononuclear cells, DNA sequencing muscular biopsies | baseline: first 30 days after inclusion |
| Measure | Description | Time Frame |
|---|---|---|
| Characterisation of the natural history of myositis subgroups :responses to treatments, prognosis factors, evolution | Characterisation of the natural history of myositis subgroups :responses to treatments, prognosis factors, evolution | up to twenty years after inclusion |
| Characterisation of an immune system signature, using peripheral blood mononuclear cells and muscular biopsies, DNA and RNA sequencing, and autoantibodies |
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Inclusion Criteria:
All patients who had a confirmed (muscular biopsy, electromyogram, magnetic resonance imaging) or suspected clinically myositis. Myositis criteria are as follow:
Signature of the informed consent form for the study and for the biobank
Age over 18 years old
Exclusion Criteria:
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All patients who had a confirmed or suspected myositis
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| Name | Affiliation | Role |
|---|---|---|
| Olivier Benveniste, PU PH | Groupe Hospitalier Pitie-Salpetriere | Study Director |
| Yves Allenbach | Groupe Hospitalier Pitie-Salpetriere | Study Director |
| Joe Elie SALEM | Groupe Hospitalier Pitie-Salpetriere | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| AP-HP, Pitié-Salpêtrière Hospital, Department of Internal Medicine and clinical immunology | Paris | 75013 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39589730 | Derived | Teboul A, Allenbach Y, Tubach F, Belin L, Cassius C, Demortier J, Dossier A, Faucon C, Kasser C, Mekinian A, Monseau G, Fouchard M, Chambrelan E, Viguier M, Kluger N, Mahevas T, Bergeret B, Bachmeyer C, Lenormand C, Hotz C, Diaz E, Cordel N, Benveniste O, Bessis D, Bouaziz JD, Chasset F. Prognostic factors for patients with cancer-associated dermatomyositis: a retrospective, multicentre cohort study of 73 patients. Rheumatology (Oxford). 2025 May 1;64(5):2970-2978. doi: 10.1093/rheumatology/keae629. | |
| 37010495 |
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Characterisation of an immune system signature, using peripheral blood mononuclear cells and muscular biopsies, DNA and RNA sequencing, and autoantibodies |
| baseline: first 30 days after inclusion |
| Risk factors for All-cause mortality depending on patient's and disease characteristics | Risk factors for All-cause mortality depending on patient's and disease characteristics including clinical, radiological electrophysiological, histo-biological and immunological as well as treatment received stratified by each subgroup of myositis | up to twenty years after inclusion |
| Change of the quality of life, using quality of life questionnaires, depending of patients and disease characteristics | Change of the quality of life, using quality of life questionnaires, depending of patients and disease characteristics | up to twenty years after inclusion |
| Change of activity impairment using an evaluation of daily life activity by both patient and physician using a Visual Analogue Scale depending of patients and disease characteristics | Change of activity impairment using an evaluation of daily life activity by both patient and physician using a Visual Analogue Scale depending of patients and disease characteristics | up to twenty years after inclusion |
| Characterisation of a quality-of-life scale using biological data (CPK), muscle weakness (muscle testing) and other visceral involvements | Characterisation of a quality-of-life scale using biological data (CPK), muscle weakness (muscle testing) and other visceral involvements | up to twenty years after inclusion |
| Characterisation of a global activity scale using biological data (CPK), muscle weakness (muscle testing) and other visceral involvements | Characterisation of a global activity scale using biological data (CPK), muscle weakness (muscle testing) and other visceral involvements | up to twenty years after inclusion |
| Incidence of major cardio-vascular events | Incidence of major cardio-vascular events | up to twenty years after inclusion |
| Consequences on outcomes of major cardio-vascular events | Consequences on outcomes of major cardio-vascular events | up to twenty years after inclusion |
| Correlation of myositis with the development of extra-muscular diseases including but not limited to dermatological, rheumatological, cardiological and pneumological associated diseases | Correlation of myositis with the development of extra-muscular diseases including but not limited to dermatological, rheumatological, cardiological and pneumological associated diseases | up to twenty years after inclusion |
| Characterisation of respiratory function with pulmonary function test and thoracic tomodensitometry | Characterisation of respiratory function with pulmonary function test and thoracic tomodensitometry | up to twenty years after inclusion |
| Characterisation of diaphragmatic failure with pulmonary function test and thoracic tomodensitometry | Characterisation of diaphragmatic failure with pulmonary function test and thoracic tomodensitometry | up to twenty years after inclusion |
| Follow up of respiratory function with pulmonary function test and thoracic tomodensitometry | Follow up of respiratory function with pulmonary function test and thoracic tomodensitometry | up to twenty years after inclusion |
| Follow up of diaphragmatic failure with pulmonary function test and thoracic tomodensitometry | Follow up of diaphragmatic failure with pulmonary function test and thoracic tomodensitometry | up to twenty years after inclusion |
| Derived |
| Demortier J, Vautier M, Chosidow O, Gallay L, Bessis D, Berezne A, Cordel N, Schmidt J, Smail A, Duffau P, Jachiet M, Begon E, Gottlieb J, Chasset F, Graveleau J, Marque M, Cesbron E, Forestier A, Josse S, Kluger N, Beauchene C, Le Corre Y, Pagis V, Rigolet A, Guillaume-Jugnot P, Authier FJ, Guilain N, Streichenberger N, Leonard-Louis S, Boussouar S, Landon-Cardinal O, Benveniste O, Allenbach Y. Anti-SAE autoantibody in dermatomyositis: original comparative study and review of the literature. Rheumatology (Oxford). 2023 Dec 1;62(12):3932-3939. doi: 10.1093/rheumatology/kead154. |
| ID | Term |
|---|---|
| D009220 | Myositis |
| ID | Term |
|---|---|
| D009135 | Muscular Diseases |
| D009140 | Musculoskeletal Diseases |
| D009468 | Neuromuscular Diseases |
| D009422 | Nervous System Diseases |
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