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DOI 10.1002/ana.27032

Медицинская библиотека · Annals of neurology · 2024

Multimodal, Longitudinal Profiling of SCA1 Identifies Predictors of Disease Severity and Progression.

van Prooije Teije H, Kapteijns Kirsten C J, van Asten Jack J A, IntHout Joanna, Verbeek Marcel M, Scheenen Tom W J, van de Warrenburg Bart P

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Аннотация

OBJECTIVES

Spinocerebellar ataxia type 1 (SCA1) is a rare autosomal dominant neurodegenerative disease. Objective surrogate markers sensitive to detect changes in disease severity are needed to reduce sample sizes in interventional trials and identification of predictors of faster disease progression would facilitate patient selection, enrichment, or stratification in such trials.

METHODS

We performed a prospective 1-year longitudinal, multimodal study in 34 ataxic SCA1 individuals and 21 healthy controls. We collected clinical, patient-reported outcomes, biochemical and magnetic resonance (MR) biomarkers at baseline and after 1 year. We determined 1-year progression and evaluated the potential predictive value of several baseline markers on 1-year disease progression.

RESULTS

At baseline, multiple structural and spectroscopic MR markers in pons and cerebellum differentiated SCA1 from healthy controls and correlated with disease severity. Plasma and cerebrospinal fluid (CSF) neurofilament light (NfL) chain and CSF glial fibrillary acidic protein (GFAP) were elevated in SCA1. In longitudinal analysis, total brainstem and pontine volume change, inventory of non-ataxia signs (INAS) count, and SCA functional index (SCAFI) showed larger responsiveness compared to the Scale for Assessment and Rating of Ataxia (SARA). Longer disease duration, longer non-expanded CAG repeat length, and higher disease burden were associated with faster SARA increase after 1-year in the SCA1 group. Similarly, lower baseline brainstem, pontine, and cerebellar volumes, as well as lower levels of N-acetylaspartate and glutamate in the cerebellar white matter, were also associated with faster SARA increase.

INTERPRETATION: Our results guide the selection of the most sensitive measures of disease progression in SCA1 and have identified features associated with accelerated progression that could inform the design of clinical trials. ANN NEUROL 2024;96:774-787.

Для цитирования: van Prooije Teije H, Kapteijns Kirsten C J, van Asten Jack J A, IntHout Joanna, Verbeek Marcel M, Scheenen Tom W J, van de Warrenburg Bart P. Multimodal, Longitudinal Profiling of SCA1 Identifies Predictors of Disease Severity and Progression.. Annals of neurology. 2024. DOI: 10.1002/ana.27032.

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