Association among biomarkers, phenotypes, and motor milestones in Chinese patients with 5q spinal muscular atrophy types 1-3
- PMID: 39286802
- PMCID: PMC11404040
- DOI: 10.3389/fneur.2024.1382410
Association among biomarkers, phenotypes, and motor milestones in Chinese patients with 5q spinal muscular atrophy types 1-3
Erratum in
-
Corrigendum: Association among biomarkers, phenotypes, and motor milestones in Chinese patients with 5q spinal muscular atrophy types 1-3.Front Neurol. 2024 Oct 29;15:1512459. doi: 10.3389/fneur.2024.1512459. eCollection 2024. Front Neurol. 2024. PMID: 39534263 Free PMC article.
Abstract
Background: Biomarkers can be used to assess the severity of spinal muscular atrophy (5q SMA; SMA). Despite their potential, the relationship between biomarkers and clinical outcomes in SMA remains underexplored. This study aimed to assess the association among biomarkers, phenotypes, and motor milestones in Chinese patients diagnosed with SMA.
Methods: We collected retrospective clinical and follow-up data of disease-modifying therapy (DMT)-naïve patients with SMA at our center from 2019 to 2021. Four biomarkers were included: survival motor neuron 2 (SMN2) copies, neuronal apoptosis inhibitory protein (NAIP) copies, full-length SMN2 (fl-SMN2), and F-actin bundling protein plastin 3 (PLS3) transcript levels. Data were analyzed and stratified according to SMA subtype.
Results: Of the 123 patients, 30 were diagnosed with Type 1 (24.3%), 56 with Type 2 (45.5%), and 37 with Type 3 (30.1%). The mortality rate for Type 1 was 50%, with median survival times of 2 and 8 months for types 1a and 1b, respectively. All four biomarkers were correlated with disease severity. Notably, fl-SMN2 transcript levels increased with SMN2 copies and were higher in Type 2b than those in Type 2a (p = 0.028). Motor milestone deterioration was correlated with SMN2 copies, NAIP copies, and fl-SMN2 levels, while PLS3 levels were correlated with standing and walking function.
Discussion: Our findings suggest that SMN2 copies contribute to survival and that fl-SMN2 may serve as a valuable biomarker for phenotypic variability in SMA Type 2 subtypes. These insights can guide future research and clinical management of SMA.
Keywords: biomarkers; motor milestones; severity; spinal muscular atrophy; survival.
Copyright © 2024 Ouyang, Peng, Huang, Bai, Wang, Jin, Jiao, Wei, Ge, Song and Qu.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures




Similar articles
-
The analysis of the association between the copy numbers of survival motor neuron gene 2 and neuronal apoptosis inhibitory protein genes and the clinical phenotypes in 40 patients with spinal muscular atrophy: Observational study.Medicine (Baltimore). 2020 Jan;99(3):e18809. doi: 10.1097/MD.0000000000018809. Medicine (Baltimore). 2020. PMID: 32011487 Free PMC article.
-
Combination of SMN2 copy number and NAIP deletion predicts disease severity in spinal muscular atrophy.Brain Dev. 2009 Jan;31(1):42-5. doi: 10.1016/j.braindev.2008.08.012. Epub 2008 Oct 7. Brain Dev. 2009. PMID: 18842367
-
Gender Effects on the Clinical Phenotype in Japanese Patients with Spinal Muscular Atrophy.Kobe J Med Sci. 2017 Oct 16;63(2):E41-E44. Kobe J Med Sci. 2017. PMID: 29434173 Free PMC article.
-
Copy Number Variations in the Survival Motor Neuron Genes: Implications for Spinal Muscular Atrophy and Other Neurodegenerative Diseases.Front Mol Biosci. 2016 Mar 10;3:7. doi: 10.3389/fmolb.2016.00007. eCollection 2016. Front Mol Biosci. 2016. PMID: 27014701 Free PMC article. Review.
-
The impact of three SMN2 gene copies on clinical characteristics and effect of disease-modifying treatment in patients with spinal muscular atrophy: a systematic literature review.Front Neurol. 2024 Feb 29;15:1308296. doi: 10.3389/fneur.2024.1308296. eCollection 2024. Front Neurol. 2024. PMID: 38487326 Free PMC article.
Cited by
-
In Search of Spinal Muscular Atrophy Disease Modifiers.Int J Mol Sci. 2024 Oct 18;25(20):11210. doi: 10.3390/ijms252011210. Int J Mol Sci. 2024. PMID: 39456991 Free PMC article. Review.
References
LinkOut - more resources
Full Text Sources