Publication
Title
CSF and blood biomarkers for the diagnosis of Alzheimer's disease : a systematic review and meta-analysis
Author
Abstract
Background Alzheimer's disease biomarkers areimportant for early diagnosis in routine clinical practice and research. Three core CSF biomarkers for the diagnosis of Alzheimer's disease (A beta 42, T-tau, and P-tau) have been assessed in numerous studies, and several other Alzheimer's disease markers are emerging in the literature. However, there have been no comprehensive meta-analyses of their diagnostic performance. We systematically reviewed the literature for 15 biomarkers in both CSF and blood to assess which of these were most altered in Alzheimer's disease. Methods In this systematic review and meta-analysis, we screened PubMed and Web of Science for articles published between July 1, 1984, and June 30, 2014, about CSF and blood biomarkers reflecting neurodegeneration (T-tau, NFL, NSF, VLP-1, and HFABP), APP metabolism (A beta 42, A beta 40, A beta 38, sAPP alpha, and sAPP beta), tangle pathology (P-tau), blood-brain-barrier function (albumin ratio), and glial activation (YKL-40, MCP-1, and GFAP). Data were taken from cross-sectional cohort studies as well as from baseline measurements in longitudinal studies with clinical follow-up. Articles were excluded if they did not contain a cohort with Alzheimer's disease and a control cohort, or a cohort with mild cognitive impairment due to Alzheimer's disease and a stable mild cognitive impairment cohort. Data were extracted by ten authors and checked by two for accuracy. For quality assessment, modified QUADAS criteria were used. Biomarker performance was rated by random-effects meta-analysis based on the ratio between biomarker concentration in patients with Alzheimer's disease and controls (fold change) or the ratio between biomarker concentration in those with mild cognitive impariment due to Alzheimer's disease and those with stable mild cognitive impairment who had a follow-up time of at least 2 years and no further cognitive decline. Findings Of 4521 records identified from PubMed and 624 from Web of Science, 231 articles comprising 15 699 patients with Alzheimer's disease and 13 018 controls were included in this analysis. The core biomarkers differentiated Alzheimer's disease from controls with good performance: CSF T-tau (average ratio 2.54, 95% CI 2-44-2. 64, p<0.0001), P-tau (1.88, 1. 79-1. 97, p<0.0001), and A beta 42 (0.56, 0.55-0.58, p<0.0001). Differentiation between cohorts with mild cognitive impairment due to Alzheimer's disease and those with stable mild cognitive impairment was also strong (average ratio 0.67 for CSF A beta 42, 1.72 for P-tau, and 1.76 for T-tau). Furthermore, CSF NFL (2.35, 1. 90-2. 91, p<0.0001) and plasma T-tau (1.95, 1.12-3.38, p=0.02) had large effect sizes when differentiating between controls and patients with Alzheimer's disease, whereas those of CSF NSE, VLP-1, HFABP, and YKL-40 were moderate (average ratios 1.28-1.47). Other assessed biomarkers had only marginal effect sizes or did not differentiate between control and patient samples. Interpretation The core CSF biomarkers of neurodegeneration (T-tau, P-tau, and A beta 42), CSF NFL, and plasma T-tau were strongly associated with Alzheimer's disease and the core biomarkers were strongly associated with mild cognitive impairment due to Alzheimer's disease. Emerging CSF biomarkers NSE, VLP-1, HFABP, and YKL-40 were moderately associated with Alzheimer's disease, whereas plasma A beta 42 and A beta 40 were not. Due to their consistency, T-tau, P-tau, A beta 42, and NFL in CSF should be used in clinical practice and clinical research.
Language
English
Source (journal)
The lancet neurology. - London
Publication
London : 2016
ISSN
1474-4422
DOI
10.1016/S1474-4422(16)00070-3
Volume/pages
15 :7 (2016) , p. 673-684
ISI
000376549300017
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 05.07.2016
Last edited 04.03.2024
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