CSF β-amyloid predicts prognosis in patients with multiple sclerosis.pdf (508.82 kB)
CSF ß-amyloid predicts prognosis in patients with multiple sclerosis
journal contribution
posted on 2023-06-20, 14:17 authored by Anna Pietroboni, Michela Caprioli, Tiziana Carandini, Marta Scarioni, Laura Ghezzi, Andrea Arighi, Sara Cioffi, Claudia Cinnante, Chiara Fenoglio, Emmanuela Oldoni, Paola Basilico, Giorgio Fumagalli, Annalisa Colombi, Giovanni Giulietti, Laura Serra, Fabio Triulzi, Marco Bozzali, Elio Scarpini, Daniela GalimbertiBackground: The importance of predicting disease progression in multiple sclerosis (MS) has increasingly been recognised, hence reliable biomarkers are needed. Objectives: To investigate the prognostic role of cerebrospinal fluid (CSF) Amyloid beta1-42 (A?) levels by the determination of a cut-off value to classify patients in slow and fast progressors. To evaluate possible association with white (WM) and grey matter (GM) damage at early disease stages. Methods: Sixty patients were recruited and followed-up for three to five years. Patients underwent clinical assessment, CSF analysis to determine Aß levels, and brain MRI (at baseline and after 1 year). T1-weighted volumes were calculated. T2-weighted scans were used to quantify WM lesion loads. Results: Lower CSF Aß levels were observed in patients with a worse follow-up EDSS (r=-0.65, p<0.001). The multiple regression analysis confirmed CSF Aß concentration as a predictor of patients’ EDSS increase (r=-0.59, p<0.0001). Generating a receiver operator characteristic curve, a cut-off value of 813 pg/ml was determined as the threshold able to identify patients with worse prognosis (95%CI 0.690-0.933, p=0.0001). No differences in CSF tau and NfL levels were observed (p>0.05). Conclusions: Low CSF Aß levels may represent a predictive biomarker of disease progression in MS.
History
Publication status
- Published
File Version
- Accepted version
Journal
Multiple SclerosisISSN
1352-4585Publisher
SAGE PublicationsExternal DOI
Department affiliated with
- BSMS Neuroscience Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2018-07-24First Open Access (FOA) Date
2018-07-24First Compliant Deposit (FCD) Date
2018-07-24Usage metrics
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