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Autosomal dominant cerebellar ataxias (ADCA) are a group of neurodegenerative disorders that are clinically and genetically various. BIOSCA study aims to identify markers of the metabolism (energy production inside the cells) in the blood and the brain of ADCA 1,2,3 and 7 patients and control subjects, in the perspective of future therapeutic trials.
Rational. Autosomal dominant cerebellar ataxias (ADCA) are a clinically heterogeneous group of neurodegenerative disorders caused by unstable CAG repeat expansions encoding polyglutamine tracts. ADCA have a wide range of neurological symptoms including ataxia of gait, stance, and limbs, cerebellar dysarthria, oculomotor disturbances of cerebellar and supranuclear genesis, retinopathy, optic atrophy, spasticity, extra-pyramidal movement disorders, peripheral neuropathy, sphincter disturbances, cognitive impairment, and epilepsy. Corresponding to neuropathological findings in hereditary ataxia, there are three fundamental patterns of degeneration on MRI: spinal atrophy, olivopontocerebellar atrophy, and cortical cerebellar atrophy. We previously showed an hypercatabolism in premanifest and early stage Huntington's disease (HD), along with a systemic metabolic defect: progressive decrease of the plasmatic branched-chain amino acids (BCAA) - correlated with low serum IGF1 (insulin-like growth factor 1) - and muscle energy metabolism abnormalities measured by 31P-NMR spectroscopy. We also observed a weight loss in SCA1, 3 and mostly SCA7 patients. In addition, we underlined in a preliminary study a significant decrease of the BCAA in SCA1,2,3 and 7 patients, suggesting that an energy deficit would also be implied in SCA pathogenesis. Transcriptional interferences are likely a part of SCA physiopathology, as shown in the retinal cells of a SCA7 mouse model, or as we detected over the cerebellum growth of these mice. The hallmark of the gene expression studies in SCA1 and SCA7 mice points out the implication of IGF1 pathway and IGF1 receptor. As in HD, these transcriptional disorders might witness the metabolic defects above-mentioned.
Study objectives. The primary aim of the study is to provide metabolic and imaging biomarkers in SCA1,2,3 and 7 patients and controls in the perspective of future therapeutic trials.
The secondary aims are to determine (i) an systemic energy profile in SCA1,2,3 and 7 patients with the confirmation of an hypercatabolic status, (ii) a brain energy profile in SCA1,2,3 and 7 patients measured by in vivo 31P-NMR spectroscopy.
Study population. BIOSCA will recruit 120 participants in the Pitie Salpetriere University Hospital located in Paris, France. The target cohort will be 80 patients - divided into 4 groups of 20 participants of each mutation - and 40 controls.
Study design. All patients (SCA1,2,3,7) will be assessed at baseline (visit 1), 1 year (visit 2) and 2 years (visit 3). At visit 1 and 3, subjects will undergo clinical, MRI, a bone mineral density and a resting metabolic rate assessments, as well as donating fasted blood samples. Each visit will last approximately 6 hours. At visit 2, they will have only a clinical assessment along with a fasted blood sample. Control subjects will be seen only at visit 1 and 3 with the same assessments as the patients.
Study period. BIOSCA is a prospective study for which each participant is enrolled for 24 months. The study duration is 36 months. The start date is November 2011.
Funding. BIOSCA is funded by a national funding hospital program in clinical research (PHRC) from APHP institution.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Spinocerebellar Ataxia type 1 (SCA1) | Spinocerebellar Ataxia type 1 (SCA1) |
| |
| Spinocerebellar Ataxia type 2 (SCA2) | Spinocerebellar Ataxia type 2 (SCA2) |
| |
| Spinocerebellar Ataxia type 3 (SCA3) | Spinocerebellar Ataxia type 3 (SCA3) |
| |
| Spinocerebellar Ataxia type 7 (SCA7) | Spinocerebellar Ataxia type 7 (SCA7) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| metabolic and imaging biomarkers in SCA1,2,3 and 7 patients | Other | MRI, a bone mineral density and a resting metabolic rate assessments, as well as donating fasted blood samples |
|
| Measure | Description | Time Frame |
|---|---|---|
| metabolic biomarkers of SCA | 12 months or 24 months |
| Measure | Description | Time Frame |
|---|---|---|
| imaging biomarkers of SCA | 24 months |
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Inclusion criteria :
Exclusion criteria :
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Spinocerebellar Ataxia Type 1 (SCA1) Spinocerebellar Ataxia Type 2 (SCA2) Spinocerebellar Ataxia Type 3 (SCA3) Spinocerebellar Ataxia Type 7 (SCA7)
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| Name | Affiliation | Role |
|---|---|---|
| Alexandra DURR, PhD | Assistance Publique - Hôpitaux de Paris | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Groupe Hospitalier Pitié Salpêtrière | Paris | 75013 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25773989 | Result | Adanyeguh IM, Henry PG, Nguyen TM, Rinaldi D, Jauffret C, Valabregue R, Emir UE, Deelchand DK, Brice A, Eberly LE, Oz G, Durr A, Mochel F. In vivo neurometabolic profiling in patients with spinocerebellar ataxia types 1, 2, 3, and 7. Mov Disord. 2015 Apr 15;30(5):662-70. doi: 10.1002/mds.26181. Epub 2015 Mar 15. | |
| 29922574 | Result |
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| ID | Term |
|---|---|
| D020754 | Spinocerebellar Ataxias |
| C537309 | Spinocerebellar ataxia, autosomal recessive 3 |
| C567459 | Episodic Ataxia, Type 7 |
| ID | Term |
|---|---|
| D002524 | Cerebellar Ataxia |
| D002526 | Cerebellar Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| ID | Term |
|---|---|
| D053858 | Metabolic Networks and Pathways |
| ID | Term |
|---|---|
| D008660 | Metabolism |
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blood
| Adanyeguh IM, Perlbarg V, Henry PG, Rinaldi D, Petit E, Valabregue R, Brice A, Durr A, Mochel F. Autosomal dominant cerebellar ataxias: Imaging biomarkers with high effect sizes. Neuroimage Clin. 2018 Jun 14;19:858-867. doi: 10.1016/j.nicl.2018.06.011. eCollection 2018. |
| 29106465 | Result | Garali I, Adanyeguh IM, Ichou F, Perlbarg V, Seyer A, Colsch B, Moszer I, Guillemot V, Durr A, Mochel F, Tenenhaus A. A strategy for multimodal data integration: application to biomarkers identification in spinocerebellar ataxia. Brief Bioinform. 2018 Nov 27;19(6):1356-1369. doi: 10.1093/bib/bbx060. |
| 33951232 | Derived | Faber J, Schaprian T, Berkan K, Reetz K, Franca MC Jr, de Rezende TJR, Hong J, Liao W, van de Warrenburg B, van Gaalen J, Durr A, Mochel F, Giunti P, Garcia-Moreno H, Schoels L, Hengel H, Synofzik M, Bender B, Oz G, Joers J, de Vries JJ, Kang JS, Timmann-Braun D, Jacobi H, Infante J, Joules R, Romanzetti S, Diedrichsen J, Schmid M, Wolz R, Klockgether T. Regional Brain and Spinal Cord Volume Loss in Spinocerebellar Ataxia Type 3. Mov Disord. 2021 Oct;36(10):2273-2281. doi: 10.1002/mds.28610. Epub 2021 May 5. |
| 33636389 | Derived | Coarelli G, Darios F, Petit E, Dorgham K, Adanyeguh I, Petit E, Brice A, Mochel F, Durr A. Plasma neurofilament light chain predicts cerebellar atrophy and clinical progression in spinocerebellar ataxia. Neurobiol Dis. 2021 Jun;153:105311. doi: 10.1016/j.nbd.2021.105311. Epub 2021 Feb 23. |
| D009422 |
| Nervous System Diseases |
| D013132 | Spinocerebellar Degenerations |
| D013118 | Spinal Cord Diseases |
| D020271 | Heredodegenerative Disorders, Nervous System |
| D019636 | Neurodegenerative Diseases |
| D001259 | Ataxia |
| D020820 | Dyskinesias |
| D009461 | Neurologic Manifestations |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |