z-logo
open-access-imgOpen Access
Evaluation of putative CSF biomarkers in paediatric spinal muscular atrophy (SMA) patients before and during treatment with nusinersen
Author(s) -
Johannsen Jessika,
Weiss Deike,
Daubmann Anne,
Schmitz Leonie,
Denecke Jonas
Publication year - 2021
Publication title -
journal of cellular and molecular medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.44
H-Index - 130
eISSN - 1582-4934
pISSN - 1582-1838
DOI - 10.1111/jcmm.16802
Subject(s) - sma* , spinal muscular atrophy , medicine , oncology , disease , pathology , mathematics , combinatorics
Spinal muscular atrophy (SMA) is a genetic neurodegenerative disorder leading to immobilization and premature death. Currently, three alternative therapeutic options are available. Therefore, biomarkers that might reflect or predict the clinical course of the individual patient with treatment are of great potential use. Currently, the antisense oligonucleotide nusinersen is the prevalent and longest validated therapy for SMA. We analysed CSF candidate biomarkers for degenerative CNS processes (namely phosphorylated heavy chain (pNf‐H), light‐chain neurofilaments (NfL), total tau protein (T‐Tau), neurogranin, β‐secretase BACE‐1 and alpha‐synuclein) in 193 CSF samples of 44 paediatric SMA types 1, 2 and 3 patients before and under nusinersen treatment and related them to standardized clinical outcome scores in a single‐centre pilot study. pNf‐H and NfL correlated with disease severity and activity, emphasizing their relevance as marker of neuronal loss and clinical outcome. T‐Tau was significantly correlated with motor function scores in SMA type 1 making it an interesting marker for treatment response. Additionally, baseline T‐Tau levels were elevated in most SMA patients possibly reflecting the extension of neuronal degeneration in paediatric‐onset SMA. Further investigations of these CSF proteins might be beneficial for paediatric SMA subtypes and treatment modalities as an indicator for clinical outcome and should be analysed in larger cohorts.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here