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      Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease–Related β-Amyloid Status

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          Key Points

          Question

          Do plasma levels of β-amyloid 42, β-amyloid 40, and tau detect cerebral β-amyloid status when measured using fully automated immunoassays?

          Findings

          In 2 cross-sectional studies, plasma β-amyloid 42 to β-amyloid 40 ratio, measured using immunoassay, accurately predicted cerebral β-amyloid status in all stages of Alzheimer disease in the BioFINDER cohort (n = 842) and in an independent validation cohort (n = 237). The diagnostic accuracy was further increased by analyzing APOE genotype.

          Meaning

          Blood-based β-amyloid 42 and β-amyloid 40 ratio together with APOE genotype may be used as prescreening tests in primary care and in clinical Alzheimer disease trials to lower the costs and number of positron emission tomography scans and lumbar punctures.

          Abstract

          This corss-sectional diagnostic study evaluates the accuracy of fully automated plasma assays in measuring plasma β-amyloid and tau in patients with and without cognitive impairment in the Swedish BioFINDER study and an independent validation cohort.

          Abstract

          Importance

          Accurate blood-based biomarkers for Alzheimer disease (AD) might improve the diagnostic accuracy in primary care, referrals to memory clinics, and screenings for AD trials.

          Objective

          To examine the accuracy of plasma β-amyloid (Aβ) and tau measured using fully automated assays together with other blood-based biomarkers to detect cerebral Aβ.

          Design, Setting, and Participants

          Two prospective, cross-sectional, multicenter studies. Study participants were consecutively enrolled between July 6, 2009, and February 11, 2015 (cohort 1), and between January 29, 2000, and October 11, 2006 (cohort 2). Data were analyzed in 2018. The first cohort comprised 842 participants (513 cognitively unimpaired [CU], 265 with mild cognitive impairment [MCI], and 64 with AD dementia) from the Swedish BioFINDER study. The validation cohort comprised 237 participants (34 CU, 109 MCI, and 94 AD dementia) from a German biomarker study.

          Main Outcome and Measures

          The cerebrospinal fluid (CSF) Aβ42/Aβ40 ratio was used as the reference standard for brain Aβ status. Plasma Aβ42, Aβ40 and tau were measured using Elecsys immunoassays (Roche Diagnostics) and examined as predictors of Aβ status in logistic regression models in cohort 1 and replicated in cohort 2. Plasma neurofilament light chain (NFL) and heavy chain (NFH) and APOE genotype were also examined in cohort 1.

          Results

          The mean (SD) age of the 842 participants in cohort 1 was 72 (5.6) years, with a range of 59 to 88 years, and 446 (52.5%) were female. For the 237 in cohort 2, mean (SD) age was 66 (10) years with a range of 23 to 85 years, and 120 (50.6%) were female. In cohort 1, plasma Aβ42 and Aβ40 predicted Aβ status with an area under the receiver operating characteristic curve (AUC) of 0.80 (95% CI, 0.77-0.83). When adding APOE, the AUC increased significantly to 0.85 (95% CI, 0.82-0.88). Slight improvements were seen when adding plasma tau (AUC, 0.86; 95% CI, 0.83-0.88) or tau and NFL (AUC, 0.87; 95% CI, 0.84-0.89) to Aβ42, Aβ40 and APOE. The results were similar in CU and cognitively impaired participants, and in younger and older participants. Applying the plasma Aβ42 and Aβ40 model from cohort 1 in cohort 2 resulted in slightly higher AUC (0.86; 95% CI, 0.81-0.91), but plasma tau did not contribute. Using plasma Aβ42, Aβ40, and APOE in an AD trial screening scenario reduced positron emission tomography costs up to 30% to 50% depending on cutoff.

          Conclusions and Relevance

          Plasma Aβ42 and Aβ40 measured using Elecsys immunoassays predict Aβ status in all stages of AD with similar accuracy in a validation cohort. Their accuracy can be further increased by analyzing APOE genotype. Potential future applications of these blood tests include prescreening of Aβ positivity in clinical AD trials to lower the costs and number of positron emission tomography scans or lumbar punctures.

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          Most cited references11

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          Plasma A[beta]40 and A[beta]42 and Alzheimer's disease: relation to age, mortality, and risk.

          Plasma amyloid [beta]-peptide (A[beta]) 40 and A[beta]42 levels are increased in persons with mutations causing early-onset familial Alzheimer's disease (AD). Plasma A[beta]42 levels were also used to link microsatellite genetic markers to a putative AD genetic locus on chromosome 10 and were observed in patients with incipient sporadic AD. The authors measured plasma A[beta]40 and A[beta]42 levels using a sandwich ELISA after the initial examination of 530 individuals participating in an epidemiologic study of aging and dementia. Participants were examined at 18-month intervals, and plasma A[beta]40 and A[beta]42 levels were repeated in 307 subjects 3 years after baseline. Compared with individuals who never developed AD, patients with AD at baseline and those who developed AD during the follow-up had significantly higher A[beta]42, but not A[beta]40, plasma levels. The risk of AD in the highest quartile of plasma A[beta]42 was increased by more than twofold over that in the lowest quartile. The highest plasma A[beta]42 levels were observed in patients with AD who died during the follow-up. Plasma A[beta]42, but not A[beta]40, levels decreased over time in patients with newly acquired AD. Plasma A[beta]40 and A[beta]42 increase with age and are strongly correlated with each other. Plasma A[beta]40 and A[beta]42 levels are elevated in some patients before and during the early stages of AD but decline thereafter. High plasma A[beta]42 levels may also be associated with mortality in patients with AD.
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            Concordance Between Different Amyloid Immunoassays and Visual Amyloid Positron Emission Tomographic Assessment

            Visual assessment of amyloid positron emission tomographic (PET) images has been approved by regulatory authorities for clinical use. Several immunoassays have been developed to measure β-amyloid (Aβ) 42 in cerebrospinal fluid (CSF). The agreement between CSF Aβ42 measures from different immunoassays and visual PET readings may influence the use of CSF biomarkers and/or amyloid PET assessment in clinical practice and trials.
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              • Record: found
              • Abstract: found
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              Is Open Access

              Plasma Levels of Aβ42 and Tau Identified Probable Alzheimer’s Dementia: Findings in Two Cohorts

              The utility of plasma amyloid beta (Aβ) and tau levels for the clinical diagnosis of Alzheimer’s disease (AD) dementia has been controversial. The main objective of this study was to compare Aβ42 and tau levels measured by the ultra-sensitive immunomagnetic reduction (IMR) assays in plasma samples collected at the Banner Sun Health Institute (BSHRI) (United States) with those from the National Taiwan University Hospital (NTUH) (Taiwan). Significant increase in tau levels were detected in AD subjects from both cohorts, while Aβ42 levels were increased only in the NTUH cohort. A regression model incorporating age showed that tau levels identified probable ADs with 81 and 96% accuracy in the BSHRI and NTUH cohorts, respectively, while computed products of Aβ42 and tau increased the accuracy to 84% in the BSHRI cohorts. Using 382.68 (pg/ml)2 as the cut-off value, the product achieved 92% accuracy in identifying AD in the combined cohorts. Overall findings support that plasma Aβ42 and tau assayed by IMR technology can be used to assist in the clinical diagnosis of AD.
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                Author and article information

                Journal
                JAMA Neurol
                JAMA Neurol
                JAMA Neurol
                JAMA Neurology
                American Medical Association
                2168-6149
                2168-6157
                24 June 2019
                September 2019
                24 June 2019
                : 76
                : 9
                : 1060-1069
                Affiliations
                [1 ]Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
                [2 ]Department of Neurology, Skåne University Hospital, Malmö, Sweden
                [3 ]Memory Clinic, Skåne University Hospital, Malmö, Sweden
                [4 ]Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
                [5 ]Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
                [6 ]Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, United Kingdom
                [7 ]UK Dementia Research Institute at UCL, London, United Kingdom
                [8 ]Roche Diagnostics GmbH, Penzberg, Germany
                [9 ]Genentech, a Member of the Roche Group, Basel, Switzerland
                Author notes
                Article Information
                Accepted for Publication: March 13, 2019.
                Published Online: June 24, 2019. doi:10.1001/jamaneurol.2019.1632
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Palmqvist S et al. JAMA Neurology.
                Corresponding Authors: Sebastian Palmqvist, MD, PhD, Department of Neurology ( sebastian.palmqvist@ 123456med.lu.se ), and Oskar Hansson, MD, PhD, Memory Clinic, Skåne University Hospital, SE-20502 Malmö, Sweden ( oskar.hansson@ 123456med.lu.se ).
                Author Contributions: Drs Palmqvist and Hansson had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs Palmqvist and Janelidze equally contributed and are co–first authors.
                Concept and design: Palmqvist, Karl, Hansson.
                Acquisition, analysis, or interpretation of data: Palmqvist, Janelidze, Stomrud, Zetterberg, Karl, Zink, Bittner, Mattsson, Blennow, Hansson.
                Drafting of the manuscript: Palmqvist, Janelidze, Hansson.
                Critical revision of the manuscript for important intellectual content: Stomrud, Zetterberg, Karl, Zink, Bittner, Mattsson, Eichenlaub, Blennow, Hansson.
                Statistical analysis: Palmqvist, Janelidze, Zink, Mattsson.
                Obtained funding: Palmqvist, Hansson.
                Administrative, technical, or material support: Palmqvist, Zetterberg, Karl, Bittner, Eichenlaub, Hansson.
                Supervision: Hansson.
                Conflict of Interest Disclosures: Dr Zetterberg reported serving on scientific advisory boards for Roche Diagnostics, Eli Lilly, and Wave, receiving travel support from Teva, and being a cofounder of Brain Biomarker Solutions in Gothenburg AB, a GU Ventures-based platform company at the University of Gothenburg. Dr Karl reported having a patent pending regarding methods of identifying an individual as having or being at risk of developing a primary Alzheimer dementia based on marker molecules and related uses and being an employee of the Roche Group. Ms Zink reported being an employee of the Roche Group. Dr Bittner reported having a patent pending regarding blood-based biomarkers for Alzheimer disease and being an employee of the Roche Group. and Dr Eichenlaub reported being an employee of the Roche Group. Dr Blennow reported serving as a consultant or on advisory boards for Alzheon, BioArctic, Biogen, Eli Lilly, Fujirebio Europe, IBL International, Merck, Novartis, Pfizer, and Roche Diagnostics, is a co-founder of Brain Biomarker Solutions in Gothenburg AB, a GU Ventures-based platform company at the University of Gothenburg, and receiving institutional research support from Roche Diagnostics and Fujirebio Europe. Dr Hansson has acquired research support for his institution from Roche, GE Healthcare, Biogen, AVID Radiopharmaceuticals, Fujirebio, and Euroimmun, and in the past 2 years, he has received consultancy or speaker fees (paid to his institution) from Lilly, Roche, and Fujirebio. No other disclosures were reported.
                Funding/Support: Work at the authors’ research center was supported by the European Research Council, the Swedish Research Council, the Knut and Alice Wallenberg foundation, the Marianne and Marcus Wallenberg foundation, the Strategic Research Area MultiPark (Multidisciplinary Research in Parkinson’s disease) at Lund University, the Swedish Alzheimer Association, the Swedish Brain Foundation, The Parkinson foundation of Sweden, The Parkinson Research Foundation, the Skåne University Hospital Foundation, and the Swedish federal government under the ALF agreement.
                Role of the Funder/Sponsor: The funder/sponsor had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Information: We would like to thank the Swedish BioFINDER study group ( http://biofinder.se) for data collection and processing in the BioFINDER cohort, as well as Prof Dr M. Riepe, Prof Dr C. von Arnim, and Prof Dr H. Tumani (University of Ulm, Ulm, Germany) and Prof Dr Heidenreich and Prof Dr K. Hager (Medical University of Hannover, Hannover, Germany) for study supervision of the independent validation cohort.
                Article
                noi190043
                10.1001/jamaneurol.2019.1632
                6593637
                31233127
                db71d53e-012c-4241-b37c-706285b8100d
                Copyright 2019 Palmqvist S et al. JAMA Neurology.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 5 December 2018
                : 13 March 2019
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