CSF β-amyloid predicts prognosis in patients with multiple sclerosis

Background: The importance of predicting disease progression in multiple sclerosis (MS) has increasingly been recognized, and hence reliable biomarkers are needed. Objectives: To investigate the prognostic role of cerebrospinal fluid (CSF) amyloid beta 1\u201342 (A\u3b2) levels by the determination of a cut-off value to classify patients in slow and fast progressors. To evaluate possible association with white matter (WM) and grey matter (GM) damage at early disease stages. Methods: Sixty patients were recruited and followed up for 3\u20135 years. Patients underwent clinical assessment, brain magnetic resonance imaging (MRI; at baseline and after 1 year), and CSF analysis to determine A\u3b2 levels. T1-weighted volumes were calculated. T2-weighted scans were used to quantify WM lesion loads. Results: Lower CSF A\u3b2 levels were observed in patients with a worse follow-up Expanded Disability Status Scale (EDSS; r = 120.65, p < 0.001). The multiple regression analysis confirmed CSF A\u3b2 concentration as a predictor of patients\u2019 EDSS increase (r = 120.59, p < 0.0001). Generating a receiver operating characteristic curve, a cut-off value of 813 pg/mL was determined as the threshold able to identify patients with worse prognosis (95% confidence interval (CI): 0.690\u20130.933, p = 0.0001). No differences in CSF tau and neurofilament light chain (NfL) levels were observed (p > 0.05). Conclusion: Low CSF A\u3b2 levels may represent a predictive biomarker of disease progression in MS