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The Identification of Novel Biomarkers Is Required to Improve Adult SMA Patient Stratification, Diagnosis and Treatment

Piera Smeriglio, Paul Langard, Giorgia Querin, Maria Grazia Biferi

2020Journal of Personalized Medicine44 citationsDOIOpen Access PDF

Abstract

Spinal muscular atrophy (SMA) is currently classified into five different subtypes, from the most severe (type 0) to the mildest (type 4) depending on age at onset, best motor function achieved, and copy number of the SMN2 gene. The two recent approved treatments for SMA patients revolutionized their life quality and perspectives. However, upon treatment with Nusinersen, the most widely administered therapy up to date, a high degree of variability in therapeutic response was observed in adult SMA patients. These data, together with the lack of natural history information and the wide spectrum of disease phenotypes, suggest that further efforts are needed to develop precision medicine approaches for all SMA patients. Here, we compile the current methods for functional evaluation of adult SMA patients treated with Nusinersen. We also present an overview of the known molecular changes underpinning disease heterogeneity. We finally highlight the need for novel techniques, i.e., -omics approaches, to capture phenotypic differences and to understand the biological signature in order to revise the disease classification and device personalized treatments.

Topics & Concepts

SMA*Spinal muscular atrophyMedicineDiseaseNatural historyPrecision medicineBioinformaticsPathologyInternal medicineBiologyComputer scienceAlgorithmNeurogenetic and Muscular Disorders ResearchRNA modifications and cancerCongenital Anomalies and Fetal Surgery
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