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Molecular Genetics & Genomic Medicine
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Article . 2019
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The influence of initial symptoms on phenotypes in spinocerebellar ataxia type 3

Authors: Hao‐Ling Xu; Qiu‐Ni Su; Xian‐Jin Shang; Arif Sikandar; Min‐Ting Lin; Ning Wang; Hong Lin; +1 Authors

The influence of initial symptoms on phenotypes in spinocerebellar ataxia type 3

Abstract

AbstractBackgroundSpinocerebellar ataxia type 3 (SCA3) is a rare, inherited form of ataxia that leads to progressive neurodegeneration. The initial symptoms could affect clinical phenotypes in neurodegenerative diseases, such as Parkinson's disease and amyotrophic lateral sclerosis. However, the contribution of initial symptoms to the phenotypes of SCA3 has been scarcely investigated.MethodsIn the present study, 143 SCA3 patients from China were recruited and divided into two groups of gait‐onset and non‐gait‐onset. For determining the influences of initial symptoms on age at onset (AAO), the severity and progression of ataxia, and the possible factors affecting the initial symptoms, multivariable linear regression, and multivariate logistic regression were performed.ResultsWe found that the frequency of gait‐onset was 87.41%, and the frequency of non‐gait‐onset was 12.59% (diplopia: 7.69%, dysarthria: 4.20%, dystonia: 0.70%). Compared to the non‐gait‐onset group, the gait‐onset group had significantly more severe ataxia (p = 0.046), while the initial symptoms had no effect on AAO (p = 0.109) and progression of ataxia (p = 0.265). We failed to find the existence of any factors affecting initial symptoms.ConclusionThese findings collectively suggested that initial symptoms influenced phenotypes in SCA3 and that neurodegeneration in different parts of brain may induce different disease severity in SCA3.

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Keywords

Adult, Male, Genotype, neurodegeneration, phenotypes, Original Articles, Machado-Joseph Disease, QH426-470, Middle Aged, Severity of Illness Index, spinocerebellar ataxia type 3, Logistic Models, Phenotype, Genetics, Linear Models, Humans, Female, Age of Onset, Gait, initial symptoms, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
gold