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Published on: January 11, 2014
Longitudinal multi-omics profiling of spinal muscular atrophy
Ivana Dabaj1, Thi Hai Yen Nguyen2, Emmanuelle Lagrue3
1Normandie Univ, UNIROUEN, AIMS, SysMedLab, CHUROUEN, Department of Neonatalogy, Pediatric Intensive Care and Neuropediatrics, Referal Center for Neuromuscular Diseases, Referal Center for Lysosomal Diseases, 76000 Rouen, France; Normandie Univ, UNIROUEN, AIMS, SysMedLab, CHUROUEN, Department of Metabolic Biochemistry, Referal Center for Lysosomal Diseases, Referal Center for Neuromuscular Diseases Nord-Est-Ile-de-France, 76000 Rouen, France.
Biomarkers in cerebrospinal fluid and plasma can help diagnose spinal muscular atrophy (SMA) and monitor treatment effectiveness. This study identified key molecules for personalized SMA management.
Area of Science:
- Neurology
- Biochemistry
- Genetics
Background:
- Spinal muscular atrophy (SMA) is a severe neuromuscular disorder caused by SMN1 gene variants.
- Current treatments like nusinersen show variable patient responses, necessitating objective biomarkers.
- Identifying reliable indicators is crucial for personalized SMA management and therapy monitoring.
Purpose of the Study:
- To identify novel cerebrospinal fluid (CSF) and plasma biomarkers for SMA diagnosis.
- To assess the utility of these biomarkers in tracking disease progression and treatment response.
- To discover biomarkers differentiating SMA patients based on SMN2 gene copy number.
Main Methods:
- Targeted metabolomics and proteomics analyses were performed on plasma and CSF samples.
- Samples were collected from treatment-naive SMA patients and controls, and from patients post-treatment.
- Differential analysis identified significantly altered molecules and proteins.
Main Results:
- SMA plasma showed elevated acylcarnitines, biogenic amines, and decreased glycerophospholipids compared to controls.
- Biomarkers achieved high diagnostic accuracy (AUCs >0.9) for SMA detection, with NEFH and creatinine being prominent.
- 26 neurology-related proteins were altered in SMA patient CSF; 11 plasma proteins differentiated patients by SMN2 copy number.
Conclusions:
- This study identified specific biomarkers in plasma and CSF for SMA diagnosis and monitoring.
- These findings support personalized SMA management and the development of targeted therapies.
- Biomarker discovery aids in assessing treatment effectiveness and understanding disease heterogeneity.
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