Literature DB >> 24748671

CSF Aβ42 predicts early-onset dementia in Parkinson disease.

Guido Alves1, Johannes Lange2, Kaj Blennow2, Henrik Zetterberg2, Ulf Andreasson2, Marthe G Førland2, Ole-Bjørn Tysnes2, Jan P Larsen2, Kenn F Pedersen2.   

Abstract

OBJECTIVE: To test in vivo the proposal from clinicopathologic studies that β-amyloid (Aβ) pathology shortens the time to dementia in Parkinson disease (PD), and to explore the utility of CSF Aβ and related measures as early prognostic biomarkers of dementia in an incident PD cohort.
METHODS: We assessed a population-based incident cohort of 104 patients with PD who underwent lumbar puncture at diagnosis. We analyzed CSF concentrations of Aβ42, Aβ40, and Aβ38 using a multiplexed immunoassay with electrochemiluminescence (ECL) detection and levels of Aβ42, total tau, and phosphorylated tau using ELISA. Patients were followed prospectively for 5 years. Dementia was diagnosed according to published criteria.
RESULTS: CSF levels of Aβ42 were significantly decreased in patients who developed dementia (n = 20, 19.2%) compared to those who did not (n = 84, 80.8%), as measured by ECL (-33%, p = 0.006) as well as ELISA (-36%, p < 0.001). No differences were observed for other markers. Low Aβ42 values predicted a substantially increased risk for subsequent dementia at high sensitivity (≥ 85%), with hazard ratios of 9.9 (95% confidence interval 2.3-43.5, p = 0.002) for Aβ42ECL <376 pg/mL and 7.6 (2.2-26.4, p = 0.001) for Aβ42ELISA <443 pg/mL, after adjustment for baseline age and PD-mild cognitive impairment (MCI) status. Aβ42 reductions tended to precede the onset of PD-MCI that progressed to dementia.
CONCLUSIONS: These in vivo data support the role of Aβ pathology in the etiology and highlight the potential utility of CSF Aβ42 as an early prognostic biomarker of dementia associated with PD.
© 2014 American Academy of Neurology.

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Year:  2014        PMID: 24748671     DOI: 10.1212/WNL.0000000000000425

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


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