Title |
Conflicting cerebrospinal fluid biomarkers and progression to dementia due to Alzheimer’s disease
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Published in |
Alzheimer's Research & Therapy, December 2016
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DOI | 10.1186/s13195-016-0220-z |
Pubmed ID | |
Authors |
Panagiotis Alexopoulos, Lukas Werle, Jennifer Roesler, Nathalie Thierjung, Lena Sophie Gleixner, Igor Yakushev, Nikolaos Laskaris, Stefan Wagenpfeil, Philippos Gourzis, Alexander Kurz, Robert Perneczky |
Abstract |
According to new diagnostic guidelines for Alzheimer's disease (AD), biomarkers enable estimation of the individual likelihood of underlying AD pathophysiology and the associated risk of progression to AD dementia for patients with mild cognitive impairment (MCI). Nonetheless, how conflicting biomarker constellations affect the progression risk is still elusive. The present study explored the impact of different cerebrospinal fluid (CSF) biomarker constellations on the progression risk of MCI patients. A multicentre cohort of 469 patients with MCI and available CSF biomarker results and clinical follow-up data was considered. Biomarker values were categorized as positive for AD, negative or borderline. Progression risk differences between patients with different constellations of total Tau (t-Tau), phosphorylated Tau at threonine 181 (p-Tau) and amyloid-beta 1-42 (Aβ42) were studied. Group comparison analyses and Cox regression models were employed. Patients with all biomarkers positive for AD (N = 145) had the highest hazard for progression to dementia due to AD, whilst patients with no positive biomarkers (N = 111) had the lowest. The risk of patients with only abnormal p-Tau and/or t-Tau (N = 49) or with positive Aβ42 in combination with positive t-Tau or p-Tau (N = 119) is significantly lower than that of patients with all biomarkers positive. The risk of progression to dementia due to AD differs between patients with different CSF biomarker constellations. |
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Unknown | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 78 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 13 | 17% |
Other | 10 | 13% |
Researcher | 9 | 12% |
Student > Bachelor | 6 | 8% |
Student > Master | 6 | 8% |
Other | 13 | 17% |
Unknown | 21 | 27% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 20 | 26% |
Neuroscience | 13 | 17% |
Psychology | 4 | 5% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Environmental Science | 2 | 3% |
Other | 9 | 12% |
Unknown | 27 | 35% |