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      Discordant amyloid-β PET and CSF biomarkers and its clinical consequences

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          Abstract

          Background

          In vivo, high cerebral amyloid-β load has been associated with (i) reduced concentrations of Aβ 42 in cerebrospinal fluid and (ii) increased retention using amyloid-β positron emission tomography. Although these two amyloid-β biomarkers generally show good correspondence, ~ 10–20% of cases have discordant results. To assess the consequences of having discordant amyloid-β PET and CSF biomarkers on clinical features, biomarkers, and longitudinal cognitive trajectories.

          Methods

          We included 768 patients (194 with subjective cognitive decline (SCD), 127 mild cognitive impairment (MCI), 309 Alzheimer’s dementia (AD), and 138 non-AD) who were categorized as concordant-negative ( n = 315, 41%), discordant ( n = 97, 13%), or concordant-positive ( n = 356, 46%) based on CSF and PET results. We compared discordant with both concordant-negative and concordant-positive groups on demographics, clinical syndrome, apolipoprotein E ( APOE) ε4 status, CSF tau, and clinical and neuropsychological progression.

          Results

          We found an increase from concordant-negative to discordant to concordant-positive in rates of APOE ε4 (28%, 55%, 70%, Z = − 10.6, P < 0.001), CSF total tau (25%, 45%, 78%, Z = − 13.7, P < 0.001), and phosphorylated tau (28%, 43%, 80%, Z = − 13.7, P < 0.001) positivity. In patients without dementia, linear mixed models showed that Mini-Mental State Examination and memory composite scores did not differ between concordant-negative ( β [SE] − 0.13[0.08], P = 0.09) and discordant ( β 0.08[0.15], P = 0.15) patients ( P interaction = 0.19), while these scores declined in concordant-positive ( β − 0.75[0.08] patients ( P interaction < 0.001). In patients with dementia, longitudinal cognitive scores were not affected by amyloid-β biomarker concordance or discordance. Clinical progression rates from SCD to MCI or dementia ( P = 0.01) and from MCI to dementia ( P = 0.003) increased from concordant-negative to discordant to concordant-positive.

          Conclusions

          Discordant cases were intermediate to concordant-negative and concordant-positive patients in terms of genetic ( APOE ε4) and CSF (tau) markers of AD. While biomarker agreement did not impact cognition in patients with dementia, discordant biomarkers are not benign in patients without dementia given their higher risk of clinical progression.

          Electronic supplementary material

          The online version of this article (10.1186/s13195-019-0532-x) contains supplementary material, which is available to authorized users.

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          Most cited references26

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          Tests for Linear Trends in Proportions and Frequencies

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            Existing Pittsburgh Compound-B positron emission tomography thresholds are too high: statistical and pathological evaluation.

            Amyloid-β, a hallmark of Alzheimer's disease, begins accumulating up to two decades before the onset of dementia, and can be detected in vivo applying amyloid-β positron emission tomography tracers such as carbon-11-labelled Pittsburgh compound-B. A variety of thresholds have been applied in the literature to define Pittsburgh compound-B positron emission tomography positivity, but the ability of these thresholds to detect early amyloid-β deposition is unknown, and validation studies comparing Pittsburgh compound-B thresholds to post-mortem amyloid burden are lacking. In this study we first derived thresholds for amyloid positron emission tomography positivity using Pittsburgh compound-B positron emission tomography in 154 cognitively normal older adults with four complementary approaches: (i) reference values from a young control group aged between 20 and 30 years; (ii) a Gaussian mixture model that assigned each subject a probability of being amyloid-β-positive or amyloid-β-negative based on Pittsburgh compound-B index uptake; (iii) a k-means cluster approach that clustered subjects into amyloid-β-positive or amyloid-β-negative based on Pittsburgh compound-B uptake in different brain regions (features); and (iv) an iterative voxel-based analysis that further explored the spatial pattern of early amyloid-β positron emission tomography signal. Next, we tested the sensitivity and specificity of the derived thresholds in 50 individuals who underwent Pittsburgh compound-B positron emission tomography during life and brain autopsy (mean time positron emission tomography to autopsy 3.1 ± 1.8 years). Amyloid at autopsy was classified using Consortium to Establish a Registry for Alzheimer's Disease (CERAD) criteria, unadjusted for age. The analytic approaches yielded low thresholds (standard uptake value ratiolow = 1.21, distribution volume ratiolow = 1.08) that represent the earliest detectable Pittsburgh compound-B signal, as well as high thresholds (standard uptake value ratiohigh = 1.40, distribution volume ratiohigh = 1.20) that are more conservative in defining Pittsburgh compound-B positron emission tomography positivity. In voxel-wise contrasts, elevated Pittsburgh compound-B retention was first noted in the medial frontal cortex, then the precuneus, lateral frontal and parietal lobes, and finally the lateral temporal lobe. When compared to post-mortem amyloid burden, low proposed thresholds were more sensitive than high thresholds (sensitivities: distribution volume ratiolow 81.0%, standard uptake value ratiolow 83.3%; distribution volume ratiohigh 61.9%, standard uptake value ratiohigh 62.5%) for CERAD moderate-to-frequent neuritic plaques, with similar specificity (distribution volume ratiolow 95.8%; standard uptake value ratiolow, distribution volume ratiohigh and standard uptake value ratiohigh 100.0%). A receiver operator characteristic analysis identified optimal distribution volume ratio (1.06) and standard uptake value ratio (1.20) thresholds that were nearly identical to the a priori distribution volume ratiolow and standard uptake value ratiolow. In summary, we found that frequently applied thresholds for Pittsburgh compound-B positivity (typically at or above distribution volume ratiohigh and standard uptake value ratiohigh) are overly stringent in defining amyloid positivity. Lower thresholds in this study resulted in higher sensitivity while not compromising specificity.
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              Comparing positron emission tomography imaging and cerebrospinal fluid measurements of β-amyloid.

              We examined agreement and disagreement between 2 biomarkers of β-amyloid (Aβ) deposition (amyloid positron emission tomography [PET] and cerebrospinal fluid [CSF] Aβ1-42 ) in normal aging and dementia in a large multicenter study. Concurrently acquired florbetapir PET and CSF Aβ were measured in cognitively normal, mild cognitive impairment (MCI), and Alzheimer's disease participants (n = 374) from the Alzheimer's Disease Neuroimaging Initiative. We also compared Aβ measurements in a separate group with serial CSF measurements over 3.1 ± 0.8 years that preceded a single florbetapir session. Additional biomarker and cognitive data allowed us to further examine profiles of discordant cases. Florbetapir and CSF Aβ were inversely correlated across all diagnostic groups, and dichotomous measurements were in agreement in 86% of subjects. Among subjects showing the most disagreement, the 2 discordant groups had different profiles: the florbetapir(+) /CSF Aβ(-) group was larger (n = 13) and was made up of only normal and early MCI subjects, whereas the florbetapir(-) /CSF Aβ(+) group was smaller (n = 7) and had poorer cognitive function and higher CSF tau, but no ApoE4 carriers. In the longitudinal sample, we observed both stable longitudinal CSF Aβ trajectories and those actively transitioning from normal to abnormal, but the final CSF Aβ measurements were in good agreement with florbetapir cortical retention. CSF and amyloid PET measurements of Aβ were consistent in the majority of subjects in the cross-sectional and longitudinal populations. Based on our analysis of discordant subjects, the available evidence did not show that CSF Aβ regularly becomes abnormal prior to fibrillar Aβ accumulation early in the course of disease. © 2013 American Neurological Association.
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                Author and article information

                Contributors
                +31 20 4440823 , arnodewilde@gmail.com
                Journal
                Alzheimers Res Ther
                Alzheimers Res Ther
                Alzheimer's Research & Therapy
                BioMed Central (London )
                1758-9193
                12 September 2019
                12 September 2019
                2019
                : 11
                : 78
                Affiliations
                [1 ]ISNI 0000 0004 1754 9227, GRID grid.12380.38, Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, , Vrije Universiteit Amsterdam, Amsterdam UMC, ; P.O. Box 7057, 1007 MB Amsterdam, The Netherlands
                [2 ]ISNI 0000000110107715, GRID grid.6988.f, Department of Health Technologies, , Tallinn University of Technology, ; Tallinn, Estonia
                [3 ]ISNI 0000 0004 0631 377X, GRID grid.454953.a, Center of Radiology, , North Estonia Medical Centre, ; Tallinn, Estonia
                [4 ]ISNI 0000 0004 1754 9227, GRID grid.12380.38, Neurochemistry laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, , Vrije Universiteit Amsterdam, Amsterdam UMC, ; Amsterdam, The Netherlands
                [5 ]ISNI 0000 0004 1754 9227, GRID grid.12380.38, Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, , Vrije Universiteit Amsterdam, Amsterdam UMC, ; Amsterdam, The Netherlands
                [6 ]ISNI 0000 0004 1754 9227, GRID grid.12380.38, Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, , Vrije Universiteit Amsterdam, Amsterdam UMC, ; Amsterdam, The Netherlands
                [7 ]ISNI 0000 0001 0930 2361, GRID grid.4514.4, Clinical Memory Research Unit, , Lund University, ; Malmö, Sweden
                Author information
                http://orcid.org/0000-0002-3510-5510
                Article
                532
                10.1186/s13195-019-0532-x
                6739952
                31511058
                9ea9a70c-dda5-45af-87de-b9c427f7f7e9
                © The Author(s). 2019

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 12 April 2019
                : 19 August 2019
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Neurology
                subjective cognitive decline,mild cognitive impairment,dementia,alzheimer’s disease,positron emission tomography,cerebrospinal fluid,amyloid

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