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Bun S, Ito D, Tezuka T, Kubota M, Ueda R, Takahata K, Moriguchi S, Kurose S, Momota Y, Suzuki N, Morimoto A, Hoshino Y, Seki M, Mimura Y, Shikimoto R, Yamamoto Y, Hoshino T, Sato Y, Tabuchi H, Mimura M. Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status. Alzheimers Res Ther 2023; 15:149. [PMID: 37667408 PMCID: PMC10476307 DOI: 10.1186/s13195-023-01296-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 08/24/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND Plasma biomarkers have emerged as promising screening tools for Alzheimer's disease (AD) because of their potential to detect amyloid β (Aβ) accumulation in the brain. One such candidate is the plasma Aβ42/40 ratio (Aβ42/40). Unlike previous research that used traditional immunoassay, recent studies that measured plasma Aβ42/40 using fully automated platforms reported promising results. However, its utility should be confirmed using a broader patient population, focusing on the potential for early detection. METHODS We recruited 174 participants, including healthy controls (HC) and patients with clinical diagnoses of AD, frontotemporal lobar degeneration, dementia with Lewy bodies/Parkinson's disease, mild cognitive impairment (MCI), and others, from a university memory clinic. We examined the performance of plasma Aβ42/40, measured using the fully automated high-sensitivity chemiluminescence enzyme (HISCL) immunoassay, in detecting amyloid-positron emission tomography (PET)-derived Aβ pathology. We also compared its performance with that of Simoa-based plasma phosphorylated tau at residue 181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL). RESULTS Using the best cut-off derived from the Youden Index, plasma Aβ42/40 yielded an area under the receiver operating characteristic curve (AUC) of 0.949 in distinguishing visually assessed 18F-Florbetaben amyloid PET positivity. The plasma Aβ42/40 had a significantly superior AUC than p-tau181, GFAP, and NfL in the 167 participants with measurements for all four biomarkers. Next, we analyzed 99 participants, including only the HC and those with MCI, and discovered that plasma Aβ42/40 outperformed the other plasma biomarkers, suggesting its ability to detect early amyloid accumulation. Using the Centiloid scale (CL), Spearman's rank correlation coefficient between plasma Aβ42/40 and CL was -0.767. Among the 15 participants falling within the CL values indicative of potential future amyloid accumulation (CL between 13.5 and 35.7), plasma Aβ42/40 categorized 61.5% (8/13) as Aβ-positive, whereas visual assessment of amyloid PET identified 20% (3/15) as positive. CONCLUSION Plasma Aβ42/40 measured using the fully automated HISCL platform showed excellent performance in identifying Aβ accumulation in the brain in a well-characterized cohort. This equipment may be useful for screening amyloid pathology because it has the potential to detect early amyloid pathology and is readily applied in clinical settings.
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Affiliation(s)
- Shogyoku Bun
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan.
| | - Daisuke Ito
- Memory Center, Keio University School of Medicine, Tokyo, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Toshiki Tezuka
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Masahito Kubota
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Ryo Ueda
- Office of Radiation Technology, Keio University Hospital, Tokyo, Japan
| | - Keisuke Takahata
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
- Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Sho Moriguchi
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
- Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Shin Kurose
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
- Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Yuki Momota
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
- Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Natsumi Suzuki
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Ayaka Morimoto
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Yuka Hoshino
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Morinobu Seki
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Yu Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Ryo Shikimoto
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Yasuharu Yamamoto
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
- Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Takayuki Hoshino
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
- Graduate School of Media and Governance, Keio University, Kanagawa, Japan
| | - Yoshiaki Sato
- Eisai-Keio Innovation Laboratory for Dementia, Human Biology Integration Foundation, Eisai Co., Ltd, Tokyo, Japan
| | - Hajime Tabuchi
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
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Yang YH, Situmeang RFV, Ong PA. Can blood amyloid levels be used as a biomarker for Alzheimer’s disease? BRAIN SCIENCE ADVANCES 2021. [DOI: 10.26599/bsa.2021.9050004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Alzheimer’s disease (AD) increasingly affects society due to aging populations. Even at pre‐clinical stages, earlier and accurate diagnoses are essential for optimal AD management and improved clinical outcomes. Biomarkers such as beta‐amyloid (Aβ) or tau protein in cerebrospinal fluid (CSF) have been used as reliable markers to distinguish AD from non‐AD, and predicting clinical outcomes, to attain these goals. However, given CSF access methods’ invasiveness, these biomarkers are not used extensively in clinical settings. Blood Aβ has been proposed as an alternative biomarker since it is less invasive than CSF; however, sampling heterogeneity has limited its clinical applicability. In this review, we investigated blood Aβ as a biomarker in AD and explored how Aβ can be facilitated as a viable biomarker for successful AD management.
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Affiliation(s)
- Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, China
- Department of Neurology, Kaohsiung Municipal Ta‐Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, China
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan, China
| | - Rocksy FV Situmeang
- Siloam Hospitals Lippo Village, Pelita Harapan University, Banten, Indonesia
| | - Paulus Anam Ong
- Department of Neurology, Hasan Sadikin Hospital, Bandung, Indonesia
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3
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Lambrinoudaki I, Delialis D, Georgiopoulos G, Tual-Chalot S, Vlachogiannis NI, Patras R, Aivalioti E, Armeni E, Augoulea A, Tsoltos N, Soureti A, Stellos K, Stamatelopoulos K. Circulating Amyloid Beta 1-40 Is Associated with Increased Rate of Progression of Atherosclerosis in Menopause: A Prospective Cohort Study. Thromb Haemost 2020; 121:650-658. [PMID: 33202443 DOI: 10.1055/s-0040-1721144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Accumulating evidence suggests that circulating amyloidβ 1-40 (Αβ1-40), a proatherogenic aging peptide, may serve as a novel biomarker in cardiovascular disease (CVD). We aimed to explore the role of plasma Αβ1-40 and its patterns of change over time in atherosclerosis progression in postmenopausal women, a population with substantial unrecognized CVD risk beyond traditional risk factors (TRFs). METHODS In this prospective study, Αβ1-40 was measured in plasma by enzyme-linked immunosorbent assay and atherosclerosis was assessed using carotid high-resolution ultrasonography at baseline and after a median follow-up of 28.2 months in 152 postmenopausal women without history or symptoms of CVD. RESULTS At baseline, high Αβ1-40 was independently associated with higher carotid bulb intima-media thickness (cbIMT) and the sum of maximal wall thickness in all carotid sites (sumWT) (p < 0.05). Αβ1-40 levels increased over time and were associated with decreasing renal function (p < 0.05 for both). Women with a pattern of increasing or persistently high Αβ1-40 levels presented accelerated progression of cbIMT and maximum carotid wall thickness and sumWT (p < 0.05 for all) after adjustment for baseline Αβ1-40 levels, TRFs, and renal function. CONCLUSION In postmenopausal women, a pattern of increasing or persistently high Αβ1-40 was associated with the rate of progression of subclinical atherosclerosis irrespective of its baseline levels. These findings provide novel insights into a link between Αβ1-40 and atherosclerosis progression in menopause and warrant further research to clarify the clinical value of monitoring its circulating levels as an atherosclerosis biomarker in women without clinically overt CVD.
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Affiliation(s)
- Irene Lambrinoudaki
- Menopause Clinic, 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios Delialis
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Georgios Georgiopoulos
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.,School of Biomedical Engineering & Imaging Sciences, Rayne Institute, St. Thomas' Hospital, London, United Kingdom
| | - Simon Tual-Chalot
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Nikolaos I Vlachogiannis
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Raphael Patras
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Evmorfia Aivalioti
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Eleni Armeni
- Menopause Clinic, 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Areti Augoulea
- Menopause Clinic, 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Tsoltos
- Menopause Clinic, 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Soureti
- Menopause Clinic, 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Stellos
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.,Department of Cardiology, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom
| | - Kimon Stamatelopoulos
- Menopause Clinic, 2nd Department of Obstetrics and Gynecology, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece.,Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
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4
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Njemini R, Verhaeghen K, Mets T, Weets I, Bautmans I. A Novel Bead-Based Immunoassay for the Measurement of Heat Shock Proteins 27 and 70. Pathogens 2020; 9:pathogens9110863. [PMID: 33105839 PMCID: PMC7690633 DOI: 10.3390/pathogens9110863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/20/2020] [Accepted: 10/20/2020] [Indexed: 11/17/2022] Open
Abstract
Heat shock proteins (HSPs) play an essential role in protecting proteins from denaturation and are implicated in diverse pathophysiological conditions like cardiovascular diseases, cancer, infections, and neurodegenerative diseases. Scientific evidence indicates that if HSP expression falls below a certain level, cells become sensitive to oxidative damage that accelerates protein aggregation diseases. On the other hand, persistently enhanced levels of HSP can lead to inflammatory and oncogenic changes. To date, although techniques for measuring HSPs exist, these assays are limited for use in specific sample types or are time consuming. Therefore, in the present study, we developed a single-molecule assay digital ELISA technology (Single Molecule Array—SIMOA) for the measurement of HSPs, which is time effective and can be adapted to measure multiple analytes simultaneously from a single sample. This technique combines two distinct HSP-specific antibodies that recognize different epitopes on the HSP molecule. A recombinant human HSP protein was used as the standard material. The assay performance characteristics were evaluated by repeated testing of samples spiked with HSP peptide at different levels. The limit of detection was 0.16 and 2 ng/mL for HSP27 and HSP70, respectively. The inter- and intra-assay coefficients of variation were less than 20% in all tested conditions for both HSPs. The HSP levels assayed after serial dilution of samples portrayed dilutional linearity (on average 109%, R2 = 0.998, p < 0.001, for HSP27 and 93%, R2 = 0.994, p < 0.001, for HSP70). A high linear response was also demonstrated with admixtures of plasma exhibiting relatively very low and high levels of HSP70 (R2 = 0.982, p < 0.001). Analyte spike recovery varied between 57% and 95%. Moreover, the relative HSP values obtained using Western blotting correlated significantly with HSP values obtained with the newly developed SIMOA assay (r = 0.815, p < 0.001 and r = 0.895, p < 0.001 for HSP70 and HSP27, respectively), indicating that our method is reliable. In conclusion, the assay demonstrates analytical performance for the accurate assessment of HSPs in various sample types and offers the advantage of a huge range of dilution linearity, indicating that samples with HSP concentration highly above the calibration range can be diluted into range without affecting the precision of the assay.
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Affiliation(s)
- Rose Njemini
- Frailty in Ageing Research Group, Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090 Brussels, Belgium;
- Gerontology Department, Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090 Brussels, Belgium
- Correspondence: ; Tel.: +32-2-477-42-41; Fax: +32-2-477-63-64
| | - Katrijn Verhaeghen
- Laboratory of Clinical Chemistry and Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, B-1090 Brussels, Belgium; (K.V.); (I.W.)
| | - Tony Mets
- Frailty in Ageing Research Group, Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090 Brussels, Belgium;
- Gerontology Department, Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090 Brussels, Belgium
- Department of Geriatric Medicine, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, B-1090 Brussels, Belgium;
| | - Ilse Weets
- Laboratory of Clinical Chemistry and Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, B-1090 Brussels, Belgium; (K.V.); (I.W.)
| | - Ivan Bautmans
- Frailty in Ageing Research Group, Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090 Brussels, Belgium;
- Gerontology Department, Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090 Brussels, Belgium
- Department of Geriatric Medicine, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, B-1090 Brussels, Belgium;
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5
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Effect of memantine on expression of Bace1-as and Bace1 genes in STZ-induced Alzheimeric rats. Mol Biol Rep 2020; 47:5737-5745. [PMID: 32648077 DOI: 10.1007/s11033-020-05629-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 06/26/2020] [Indexed: 01/05/2023]
Abstract
Recent studies have showed that the long non-coding RNAs (lncRNAs) expression is dysregulated in different neurodegenerative disorders like Alzheimer's disease (AD). In the present study, the effects of memantine on the level of Bace1-as and Bace1 genes' expression in streptozotocin (STZ)-induced Alzheimer's and memantine treated rats were investigated. The male Wistar rats were randomly divided into four groups: 1-Normal control, 2-Sham-operated control, 3- Alzheimer'scontrol rats (ICV-STZ), 4-Experimental group rats treated by memantine in a dose of 30 mg/kg/day for 28 days in ICV-STZ rats. The expression of Bace1-as and Bace1 genes was measured by quantitative-PCR in the brain and blood tissues. ELISA was used to analyze Bace1 and Aβ proteins. Expression of Bace1-as was significantly increased in the brain and blood tissues of the experimental group (p = 0.032 and p = 0.034, respectively). The expression of Bace1 gene showed no significant changes in the brain. Furthermore, the ELISA analysis revealed that Bace1 protein was significantly increased in the plasma of the Alzheimer's control group (p = 0.000) and in the brain tissue of the experimental group (p = 0.000). Additionally, Aβ levels had no significant changes between all groups studied. The Bace1 protein may be used as a prognostic biomarker in plasma, or before using memantine as a treatment. Furthermore, Bace1-as gene expression may play a role in monitoring the progression of AD.
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6
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Ashton NJ, Hye A, Rajkumar AP, Leuzy A, Snowden S, Suárez-Calvet M, Karikari TK, Schöll M, La Joie R, Rabinovici GD, Höglund K, Ballard C, Hortobágyi T, Svenningsson P, Blennow K, Zetterberg H, Aarsland D. An update on blood-based biomarkers for non-Alzheimer neurodegenerative disorders. Nat Rev Neurol 2020; 16:265-284. [PMID: 32322100 DOI: 10.1038/s41582-020-0348-0] [Citation(s) in RCA: 110] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/17/2020] [Indexed: 01/11/2023]
Abstract
Cerebrospinal fluid analyses and neuroimaging can identify the underlying pathophysiology at the earliest stage of some neurodegenerative disorders, but do not have the scalability needed for population screening. Therefore, a blood-based marker for such pathophysiology would have greater utility in a primary care setting and in eligibility screening for clinical trials. Rapid advances in ultra-sensitive assays have enabled the levels of pathological proteins to be measured in blood samples, but research has been predominantly focused on Alzheimer disease (AD). Nonetheless, proteins that were identified as potential blood-based biomarkers for AD, for example, amyloid-β, tau, phosphorylated tau and neurofilament light chain, are likely to be relevant to other neurodegenerative disorders that involve similar pathological processes and could also be useful for the differential diagnosis of clinical symptoms. This Review outlines the neuropathological, clinical, molecular imaging and cerebrospinal fluid features of the most common neurodegenerative disorders outside the AD continuum and gives an overview of the current status of blood-based biomarkers for these disorders.
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Affiliation(s)
- Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Abdul Hye
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Anto P Rajkumar
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK.,Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Antoine Leuzy
- Clinical Memory Research Unit, Lund University, Malmö, Sweden
| | - Stuart Snowden
- Core Metabolomics and Lipidomics Laboratory, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Marc Suárez-Calvet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Catalonia, Spain.,Department of Neurology, Hospital del Mar, Barcelona, Catalonia, Spain
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Michael Schöll
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Clinical Memory Research Unit, Lund University, Malmö, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Renaud La Joie
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Kina Höglund
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Disease Research, Neurogeriatrics Division, Karolinska Institutet, Novum, Huddinge, Stockholm, Sweden
| | | | - Tibor Hortobágyi
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,MTA-DE Cerebrovascular and Neurodegenerative Research Group, Department of Neurology, University of Debrecen, Debrecen, Hungary
| | - Per Svenningsson
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK. .,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK. .,Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.
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7
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Li D, Mielke MM, Bell WR, Reilly C, Zhang L, Lin FV, Yu F. Blood biomarkers as surrogate endpoints of treatment responses to aerobic exercise and cognitive training (ACT) in amnestic mild cognitive impairment: the blood biomarkers study protocol of a randomized controlled trial (the ACT Trial). Trials 2020; 21:19. [PMID: 31907024 PMCID: PMC6943901 DOI: 10.1186/s13063-019-3798-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 10/11/2019] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is an epidemic with tremendous public health impacts because there are currently no disease-modifying therapeutics. Randomized controlled trials (RCTs) for prevention of AD dementia often use clinical endpoints that take years to manifest (e.g., cognition) or surrogate endpoints that are costly or invasive (e.g., magnetic resonance imaging [MRI]). Blood biomarkers represent a clinically applicable alternative surrogate endpoint for RCTs that would be both cost-effective and minimally invasive, but little is known about their value as surrogate endpoints for treatment responses in the prevention of AD dementia. METHODS The objective of this study is to investigate blood neuropathological, neurodegenerative, and neurotrophic biomarkers as surrogate endpoints for treatment responses to three interventions in older adults with amnestic mild cognitive impairment (aMCI, a prodromal stage of AD): aerobic exercise, cognitive training, and combined aerobic exercise and cognitive training (ACT). We chose these three sets of biomarkers for their unique mechanistic associations with AD pathology, neurodegeneration and neurogenesis. This study is built on the ACT Trial (1R01AG055469), a single-blinded, multi-site, 2 × 2 factorial phase II RCT that examines the synergistic effects of a 6-month ACT intervention on cognition and MRI biomarkers (AD-signature cortical thickness and hippocampal volume) (n = 128). In this ACT Trial blood biomarkers study, we will enroll 120 ACT Trial participants with aMCI and measure blood biomarkers at baseline and at 3, 6, 12, and 18 months. The goals are to (1) determine the effect of interventions on blood biomarkers over 6 months, (2) evaluate blood biomarkers as surrogate endpoints for predicting cognitive responses to interventions over 18 months, and (3, exploratory) examine blood biomarkers as surrogate endpoints for predicting brain MRI biomarker responses to interventions over 18 months. DISCUSSION This study aims to identify new blood biomarkers that can track cognitive decline or AD-related brain atrophy among patients with aMCI subjected to a regimen of aerobic exercise and cognitive training. Findings from this study will drive the further use of blood biomarkers in developing effective prevention and treatment strategies for AD dementia. TRIAL REGISTRATION ClinicalTrials.gov, NCT03313895. Registered on 18 October 2017.
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Affiliation(s)
- Danni Li
- Department of Lab Medicine and Pathology, University of Minnesota, 420 Delaware Street SE, MMC 609, Minneapolis, MN 55455 USA
| | - Michelle M. Mielke
- Department of Neurology and Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55902 USA
| | - W. Robert Bell
- Department of Lab Medicine and Pathology, University of Minnesota, 420 Delaware Street SE, MMC 609, Minneapolis, MN 55455 USA
| | - Cavan Reilly
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455 USA
| | - Lin Zhang
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455 USA
| | - Feng Vankee Lin
- University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
| | - Fang Yu
- School of Nursing, University of Minnesota, 5-140 WDH, 308 Harvard St SE, Minneapolis, MN 55455 USA
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8
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Schindler SE, Bollinger JG, Ovod V, Mawuenyega KG, Li Y, Gordon BA, Holtzman DM, Morris JC, Benzinger TLS, Xiong C, Fagan AM, Bateman RJ. High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis. Neurology 2019; 93:e1647-e1659. [PMID: 31371569 PMCID: PMC6946467 DOI: 10.1212/wnl.0000000000008081] [Citation(s) in RCA: 474] [Impact Index Per Article: 94.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Accepted: 06/17/2019] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVE We examined whether plasma β-amyloid (Aβ)42/Aβ40, as measured by a high-precision assay, accurately diagnosed brain amyloidosis using amyloid PET or CSF p-tau181/Aβ42 as reference standards. METHODS Using an immunoprecipitation and liquid chromatography-mass spectrometry assay, we measured Aβ42/Aβ40 in plasma and CSF samples from 158 mostly cognitively normal individuals that were collected within 18 months of an amyloid PET scan. RESULTS Plasma Aβ42/Aβ40 had a high correspondence with amyloid PET status (receiver operating characteristic area under the curve [AUC] 0.88, 95% confidence interval [CI] 0.82-0.93) and CSF p-tau181/Aβ42 (AUC 0.85, 95% CI 0.79-0.92). The combination of plasma Aβ42/Aβ40, age, and APOE ε4 status had a very high correspondence with amyloid PET (AUC 0.94, 95% CI 0.90-0.97). Individuals with a negative amyloid PET scan at baseline and a positive plasma Aβ42/Aβ40 (<0.1218) had a 15-fold greater risk of conversion to amyloid PET-positive compared to individuals with a negative plasma Aβ42/Aβ40 (p = 0.01). CONCLUSIONS Plasma Aβ42/Aβ40, especially when combined with age and APOE ε4 status, accurately diagnoses brain amyloidosis and can be used to screen cognitively normal individuals for brain amyloidosis. Individuals with a negative amyloid PET scan and positive plasma Aβ42/Aβ40 are at increased risk for converting to amyloid PET-positive. Plasma Aβ42/Aβ40 could be used in prevention trials to screen for individuals likely to be amyloid PET-positive and at risk for Alzheimer disease dementia. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that plasma Aβ42/Aβ40 levels accurately determine amyloid PET status in cognitively normal research participants.
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Affiliation(s)
- Suzanne E Schindler
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - James G Bollinger
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - Vitaliy Ovod
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - Kwasi G Mawuenyega
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - Yan Li
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - Brian A Gordon
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - David M Holtzman
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - John C Morris
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - Tammie L S Benzinger
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - Chengjie Xiong
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - Anne M Fagan
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO
| | - Randall J Bateman
- From the Department of Neurology (S.E.S., J.G.B., V.O., K.G.M., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Knight Alzheimer's Disease Research Center (S.E.S., B.A.G., D.M.H., J.C.M., T.L.S.B., C.X., A.M.F., R.J.B.), Division of Biostatistics (Y.L., C.X.), Mallinckrodt Institute of Radiology (B.A.G., T.L.S.B.), and Hope Center for Neurological Disorders (D.M.H., A.M.F., R.J.B.), Washington University School of Medicine, St. Louis, MO.
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9
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Li Y, Lim E, Fields T, Wu H, Xu Y, Wang YA, Mao H. Improving Sensitivity and Specificity of Amyloid-β Peptides and Tau Protein Detection with Antibiofouling Magnetic Nanoparticles for Liquid Biopsy of Alzheimer’s Disease. ACS Biomater Sci Eng 2019; 5:3595-3605. [DOI: 10.1021/acsbiomaterials.9b00086] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Yuancheng Li
- Department of Radiology and Imaging Sciences, Emory University, 1841 Clifton Road NE, Atlanta, Georgia 30329, United States
| | - Esther Lim
- Division of Research, Philadelphia College of Osteopathic Medicine−Georgia Campus, 625 Old Peachtree Road NW, Suwanee, Georgia 30039, United States
| | - Travis Fields
- Division of Research, Philadelphia College of Osteopathic Medicine−Georgia Campus, 625 Old Peachtree Road NW, Suwanee, Georgia 30039, United States
| | - Hui Wu
- Department of Radiology and Imaging Sciences, Emory University, 1841 Clifton Road NE, Atlanta, Georgia 30329, United States
| | - Yaolin Xu
- Department of Radiology and Imaging Sciences, Emory University, 1841 Clifton Road NE, Atlanta, Georgia 30329, United States
| | - Y. Andrew Wang
- Ocean Nanotech, LLC, 7964 Arjons Drive, San Diego, California 92126, United States of America
| | - Hui Mao
- Department of Radiology and Imaging Sciences, Emory University, 1841 Clifton Road NE, Atlanta, Georgia 30329, United States
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10
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Kucheryavykh LY, Ortiz-Rivera J, Kucheryavykh YV, Zayas-Santiago A, Diaz-Garcia A, Inyushin MY. Accumulation of Innate Amyloid Beta Peptide in Glioblastoma Tumors. Int J Mol Sci 2019; 20:ijms20102482. [PMID: 31137462 PMCID: PMC6567111 DOI: 10.3390/ijms20102482] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 04/23/2019] [Accepted: 05/15/2019] [Indexed: 12/12/2022] Open
Abstract
Immunostaining with specific antibodies has shown that innate amyloid beta (Aβ) is accumulated naturally in glioma tumors and nearby blood vessels in a mouse model of glioma. In immunofluorescence images, Aβ peptide coincides with glioma cells, and enzyme-linked immunosorbent assay (ELISA) have shown that Aβ peptide is enriched in the membrane protein fraction of tumor cells. ELISAs have also confirmed that the Aβ(1–40) peptide is enriched in glioma tumor areas relative to healthy brain areas. Thioflavin staining revealed that at least some amyloid is present in glioma tumors in aggregated forms. We may suggest that the presence of aggregated amyloid in glioma tumors together with the presence of Aβ immunofluorescence coinciding with glioma cells and the nearby vasculature imply that the source of Aβ peptides in glioma can be systemic Aβ from blood vessels, but this question remains unresolved and needs additional studies.
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Affiliation(s)
- Lilia Y Kucheryavykh
- Department of Biochemistry, School of Medicine, Universidad Central del Caribe, PO Box 60327, Bayamon, PR 00960-6032, USA.
| | - Jescelica Ortiz-Rivera
- Department of Biochemistry, School of Medicine, Universidad Central del Caribe, PO Box 60327, Bayamon, PR 00960-6032, USA.
| | - Yuriy V Kucheryavykh
- Department of Biochemistry, School of Medicine, Universidad Central del Caribe, PO Box 60327, Bayamon, PR 00960-6032, USA.
| | - Astrid Zayas-Santiago
- Department of Physiology, School of Medicine, Universidad Central del Caribe, PO Box 60327, Bayamon, PR 00960-6032, USA.
| | - Amanda Diaz-Garcia
- Department of Physiology, School of Medicine, Universidad Central del Caribe, PO Box 60327, Bayamon, PR 00960-6032, USA.
| | - Mikhail Y Inyushin
- Department of Physiology, School of Medicine, Universidad Central del Caribe, PO Box 60327, Bayamon, PR 00960-6032, USA.
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11
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Zetterberg H. Blood-based biomarkers for Alzheimer's disease-An update. J Neurosci Methods 2018; 319:2-6. [PMID: 30352211 DOI: 10.1016/j.jneumeth.2018.10.025] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Revised: 10/16/2018] [Accepted: 10/17/2018] [Indexed: 12/13/2022]
Abstract
Cerebrospinal fluid (CSF) biomarkers for Alzheimer's disease (AD) are in clinical use in many parts of the world and show good to excellent diagnostic accuracy in regards to identifying cerebral amyloid β (Aβ) and tau pathology irrespective of the clinical stage of the disease. However, CSF sampling is more difficult than a blood draw and a procedure only rarely performed by general practitioners. Since AD is such a common disease and since intense research on novel treatments that hopefully will be directed against underlying pathologies is moving forward, it would be excellent if the CSF tests for AD could be transformed into blood tests, as well as if novel blood biomarkers could be discovered. Brain-derived molecules are, however, present at much lower concentrations in blood than in CSF, which poses an analytical challenge. There are also additional issues with blood as a biofluid in which to measure biomarkers for central nervous system disease. Nevertheless, the past few years have seen an enormous development in the field of ultrasensitive measurement techniques. There is also much better availability of deeply phenotyped clinical cohorts for biomarker discovery and validation. This review gives an updated account of the current state of research on blood biomarkers for AD and related neurodegenerative dementias with special emphasis on findings that have been replicated by more than one research group.
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Affiliation(s)
- Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK.
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12
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Ghasemi F, Hormozi-Nezhad MR, Mahmoudi M. Label-free detection of β-amyloid peptides (Aβ40 and Aβ42): a colorimetric sensor array for plasma monitoring of Alzheimer's disease. NANOSCALE 2018; 10:6361-6368. [PMID: 29561053 DOI: 10.1039/c8nr00195b] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Monitoring the ratio of 40- and 42-residue amyloid β peptides (i.e., Aβ40 and Aβ42) in human plasma is considered one of the hallmarks of detection of the early stage of Alzheimer's disease (AD). Therefore, development of a specific, yet non-antibody-based method for simultaneous detection of Aβ40 and Aβ42 may have considerable clinical applications. Here, we developed a 'nanoparticle-based colorimetric sensor array' utilizing label-free gold and silver nanoparticles for visual detection of Aβ42 and Aβ40. Different aggregation behaviors of nanoparticles through their conjugation with Aβ42 and Aβ40 followed by the coordination of Aβ42 and Aβ40 with Cu(ii) led to diverse spectral and color changes. The spectral changes were quantitatively differentiated by a supervised pattern recognition approach, linear discriminant analysis (LDA). The proposed sensor array was able to discriminate among Aβ42, Aβ40, and HSA in different concentrations (50 nmol L-1 to 500 nmol L-1) and their mixtures. Moreover, the sensor array had the capability to identify structurally similar Aβ peptides in human plasma samples. The developed sensor array technology might pave the way for a cheap and rapid, yet robust, platform for high-throughput screening of human plasma for defining the at-risk population for AD.
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Affiliation(s)
- Forough Ghasemi
- Department of Chemistry, Sharif University of Technology, Tehran, 11155-9516, Iran.
| | - M Reza Hormozi-Nezhad
- Department of Chemistry, Sharif University of Technology, Tehran, 11155-9516, Iran. and Institute for Nanoscience and Nanotechnology, Sharif University of Technology, Tehran, Iran
| | - Morteza Mahmoudi
- Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA.
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13
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Song L, Lachno DR, Hanlon D, Shepro A, Jeromin A, Gemani D, Talbot JA, Racke MM, Dage JL, Dean RA. A digital enzyme-linked immunosorbent assay for ultrasensitive measurement of amyloid-β 1-42 peptide in human plasma with utility for studies of Alzheimer's disease therapeutics. ALZHEIMERS RESEARCH & THERAPY 2016; 8:58. [PMID: 27978855 PMCID: PMC5160015 DOI: 10.1186/s13195-016-0225-7] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 11/18/2016] [Indexed: 12/18/2022]
Abstract
Background Amyloid-β 1–42 peptide (Aβ1–42) is associated with plaque formation in the brain of patients with Alzheimer’s disease (AD). Pharmacodynamic studies of AD therapeutics that lower the concentrations of Aβ1–42 in peripheral blood require highly sensitive assays for its measurement. A digital enzyme-linked immunosorbent assay (ELISA) using single molecule array (Simoa) technology has been developed that provides improved sensitivity compared with conventional ELISA methods using the same antibody reagents. Methods A sensitive digital ELISA for measurement of Aβ1–42 using antibodies 3D6 and 21F12 was developed. Assay performance was evaluated by repeated testing of pooled human plasma and buffer diluent quality control samples to determine relative accuracy, intra- and inter-assay precision, limit of detection (LOD), lower limit of quantification (LLOQ), dilutional linearity, and spike recovery. The optimized assay was used to quantify Aβ1–42 in clinical samples from patients treated with the β-site amyloid precursor protein cleaving enzyme 1 inhibitor LY2886721. Results The prototype assay measured Aβ1–42 with an LOD of 0.3 pg/ml and an LLOQ of 2.8 pg/ml in plasma, calibrated using an Aβ1–42 peptide standard from Fujirebio. Assay precision was acceptable with intra- and inter-assay coefficients of variation both being ≤10%. Dilutional linearity was demonstrated in sample diluent and immunodepleted human plasma. Analyte spike recovery ranged from 51% to 93% with a mean of 80%. This assay was able to quantify Aβ1–42 in all of the 84 clinical samples tested. A rapid reduction in levels of Aβ1–42 was detected within 1 h after drug treatment, and a dose-dependent decrease of Aβ1–42 levels was also observed over the time course of sample collection. Conclusions This digital ELISA has potential utility in clinical applications for quantification of Aβ1–42 in plasma where high sensitivity and precision are required.
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Affiliation(s)
- Linan Song
- Quanterix Corporation, Lexington, MA, USA
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14
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Plasma β-amyloid in Alzheimer's disease and vascular disease. Sci Rep 2016; 6:26801. [PMID: 27241045 PMCID: PMC4886210 DOI: 10.1038/srep26801] [Citation(s) in RCA: 418] [Impact Index Per Article: 52.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Accepted: 05/10/2016] [Indexed: 12/21/2022] Open
Abstract
Implementation of amyloid biomarkers in clinical practice would be accelerated if such biomarkers could be measured in blood. We analyzed plasma levels of Aβ42 and Aβ40 in a cohort of 719 individuals (the Swedish BioFINDER study), including patients with subjective cognitive decline (SCD), mild cognitive impairment (MCI), Alzheimer’s disease (AD) dementia and cognitively healthy elderly, using a ultrasensitive immunoassay (Simoa platform). There were weak positive correlations between plasma and cerebrospinal fluid (CSF) levels for both Aβ42 and Aβ40, and negative correlations between plasma Aβ42 and neocortical amyloid deposition (measured with PET). Plasma levels of Aβ42 and Aβ40 were reduced in AD dementia compared with all other diagnostic groups. However, during the preclinical or prodromal AD stages (i.e. in amyloid positive controls, SCD and MCI) plasma concentration of Aβ42 was just moderately decreased whereas Aβ40 levels were unchanged. Higher plasma (but not CSF) levels of Aβ were associated with white matter lesions, cerebral microbleeds, hypertension, diabetes and ischemic heart disease. In summary, plasma Aβ is overtly decreased during the dementia stage of AD indicating that prominent changes in Aβ metabolism occur later in the periphery compared to the brain. Further, increased levels of Aβ in plasma are associated with vascular disease.
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15
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Donohue MC, Moghadam SH, Roe AD, Sun CK, Edland SD, Thomas RG, Petersen RC, Sano M, Galasko D, Aisen PS, Rissman RA. Longitudinal plasma amyloid beta in Alzheimer's disease clinical trials. Alzheimers Dement 2015; 11:1069-79. [PMID: 25301682 PMCID: PMC4387108 DOI: 10.1016/j.jalz.2014.07.156] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Revised: 06/13/2014] [Accepted: 07/05/2014] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Little is known about the utility of plasma amyloid beta (Aβ) in clinical trials of Alzheimer's disease (AD). METHODS We analyzed longitudinal plasma samples from two large multicenter clinical trials: (1) donezepil and vitamin E in mild cognitive impairment (n = 405, 24 months) and (2) simvastatin in mild to moderate AD (n = 225, 18 months). RESULTS Baseline plasma Aβ was not related to cognitive or clinical progression. We observed a decrease in plasma Aβ40 and 42 among apolipoprotein E epsilon 4 (APOE ε4) carriers relative to noncarriers in the mild cognitive impairment trial. Patients treated with simvastatin showed a significant increase in Aβ compared with placebo. We found significant storage time effects and considerable plate-to-plate variation. DISCUSSION We found no support for the utility of plasma Aβ as a prognostic factor or correlate of cognitive change. Analysis of stored specimens requires careful standardization and experimental design, but plasma Aβ may prove useful in pharmacodynamic studies of antiamyloid drugs.
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Affiliation(s)
- Michael C Donohue
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA; Department of Family Preventive Medicine, University of California San Diego, School of Medicine, San Diego, CA, USA
| | - Setareh H Moghadam
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA
| | - Allyson D Roe
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA
| | - Chung-Kai Sun
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA
| | - Steven D Edland
- Department of Family Preventive Medicine, University of California San Diego, School of Medicine, San Diego, CA, USA
| | - Ronald G Thomas
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA; Department of Family Preventive Medicine, University of California San Diego, School of Medicine, San Diego, CA, USA
| | - Ronald C Petersen
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA; Department of Neurology, Mayo Clinic Alzheimer's Disease Research Center, Department of Health Sciences Mayo Clinic College of Medicine, Research, Rochester, MN, USA
| | - Mary Sano
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA; Mount Sinai School of Medicine and James J. Peters Veterans Association Medical Center, Bronx, NY, USA
| | - Douglas Galasko
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA
| | - Paul S Aisen
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA
| | - Robert A Rissman
- Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego, School of Medicine, San Diego, CA, USA.
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16
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Roberts KF, Elbert DL, Kasten TP, Patterson BW, Sigurdson WC, Connors RE, Ovod V, Munsell LY, Mawuenyega KG, Miller-Thomas MM, Moran CJ, Cross DT, Derdeyn CP, Bateman RJ. Amyloid-β efflux from the central nervous system into the plasma. Ann Neurol 2014; 76:837-44. [PMID: 25205593 PMCID: PMC4355962 DOI: 10.1002/ana.24270] [Citation(s) in RCA: 186] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2014] [Revised: 08/28/2014] [Accepted: 09/04/2014] [Indexed: 01/05/2023]
Abstract
OBJECTIVE The aim of this study was to measure the flux of amyloid-β (Aβ) across the human cerebral capillary bed to determine whether transport into the blood is a significant mechanism of clearance for Aβ produced in the central nervous system (CNS). METHODS Time-matched blood samples were simultaneously collected from a cerebral vein (including the sigmoid sinus, inferior petrosal sinus, and the internal jugular vein), femoral vein, and radial artery of patients undergoing inferior petrosal sinus sampling. For each plasma sample, Aβ concentration was assessed by 3 assays, and the venous to arterial Aβ concentration ratios were determined. RESULTS Aβ concentration was increased by ∼7.5% in venous blood leaving the CNS capillary bed compared to arterial blood, indicating efflux from the CNS into the peripheral blood (p < 0.0001). There was no difference in peripheral venous Aβ concentration compared to arterial blood concentration. INTERPRETATION Our results are consistent with clearance of CNS-derived Aβ into the venous blood supply with no increase from a peripheral capillary bed. Modeling these results suggests that direct transport of Aβ across the blood-brain barrier accounts for ∼25% of Aβ clearance, and reabsorption of cerebrospinal fluid Aβ accounts for ∼25% of the total CNS Aβ clearance in humans. Ann Neurol 2014;76:837-844.
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Affiliation(s)
- Kaleigh Filisa Roberts
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Donald L. Elbert
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Tom P. Kasten
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Bruce W. Patterson
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Wendy C. Sigurdson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Rose E. Connors
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Vitaliy Ovod
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ling Y. Munsell
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kwasi G. Mawuenyega
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | | | - Christopher J. Moran
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Dewitte T. Cross
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Colin P. Derdeyn
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
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17
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Pesini P, Pérez-Grijalba V, Monleón I, Boada M, Tárraga L, Martínez-Lage P, San-José I, Sarasa M. Reliable Measurements of the β-Amyloid Pool in Blood Could Help in the Early Diagnosis of AD. Int J Alzheimers Dis 2012; 2012:604141. [PMID: 22957297 PMCID: PMC3431090 DOI: 10.1155/2012/604141] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2011] [Revised: 05/07/2012] [Accepted: 05/09/2012] [Indexed: 12/29/2022] Open
Abstract
The present study was aimed at assessing the capability of Aβ1-40 and Aβ1-42 levels in undiluted plasma (UP), diluted plasma (DP), and cell bound (CB) to distinguish between early stages of Alzheimer's disease (AD), amnesic mild cognitive impairment (MCI), and healthy control (HC). Four blood samples from each participant were collected during one month and the levels of Aβ1-40 and Aβ1-42 were determined by a blinded proprietary ELISA sandwich (Araclon Biotech. Zaragoza, Spain). First striking result was that the amount of Aβ1-40 and Aβ1-42 in UP represented only a small proportion (~15%) of the total beta-amyloid pool in blood (βAPB) described here as the sum of Aβ1-40 and Aβ1-42 in blood where they are free in plasma, bound to plasma proteins, and bound to blood cells. Furthermore, we found that levels of Aβ1-40 and Aβ1-42 in UP, DP, and CB were significantly higher in MCI when compared to HC. On average, the total βAPB was 1.8 times higher in MCI than in HC (P = 0.03) and allowed to discriminate between MCI and HC with a sensitivity and specificity over 80%. Thus, quantification of several markers of the βAPB could be useful and reliable in the discrimination between MCI and HC.
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Affiliation(s)
- Pedro Pesini
- Araclon Biotech Ltd., I + D Laboratory, Zaragoza, Spain
- Araclon Biotech Ltd., Proteomic Laboratory, CIBIR Logroño, Spain
| | | | | | - Mercè Boada
- Alzheimer Research Center and Memory Clinic, Fundació ACE, Institut Català de Neurciències Aplicades, Barcelona, Spain
| | - Lluís Tárraga
- Alzheimer Research Center and Memory Clinic, Fundació ACE, Institut Català de Neurciències Aplicades, Barcelona, Spain
| | - Pablo Martínez-Lage
- Alzheimer Research Center and Memory Clinic, Fundació ACE, Institut Català de Neurciències Aplicades, Barcelona, Spain
| | | | - Manuel Sarasa
- Araclon Biotech Ltd., I + D Laboratory, Zaragoza, Spain
- Araclon Biotech Ltd., Proteomic Laboratory, CIBIR Logroño, Spain
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18
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Koyama A, Okereke OI, Yang T, Blacker D, Selkoe DJ, Grodstein F. Plasma amyloid-β as a predictor of dementia and cognitive decline: a systematic review and meta-analysis. ARCHIVES OF NEUROLOGY 2012; 69:824-31. [PMID: 22451159 PMCID: PMC3772635 DOI: 10.1001/archneurol.2011.1841] [Citation(s) in RCA: 156] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Preclinical prediction of Alzheimer disease (AD) is important and critical to effective intervention. Plasma levels of amyloid-β (Aβ) peptides have been a principal focus of the growing literature on blood-based biomarkers, but studies to date have varied in design, assay methods, and sample size, making it difficult to readily interpret the overall data. OBJECTIVE To conduct a systematic review and meta-analysis of relevant prospective studies to determine whether plasma amyloid-β levels may predict development of dementia, AD, and cognitive decline. DESIGN We searched prospective studies published between 1995 and 2011 indexed in the MEDLINE, EMBASE, and PsycINFO databases. Selected studies included those measuring at least 1 relevant plasma amyloid-β species (Aβ(40), Aβ(42), or Aβ(42):Aβ(40) ratio) and reporting an effect estimate for dementia, AD, or cognitive change. MAIN OUTCOME MEASURES Using a standardized extraction form, appropriate study parameters on subject information, exposure, and outcome were extracted. Random effects models were used to generate summary risk ratios and 95% confidence intervals comparing the bottom vs top quantiles for each plasma measure. RESULTS Thirteen studies with a total of 10 303 subjects met inclusion criteria for meta-analysis. Lower Aβ(42):Aβ(40) ratios were significantly associated with development of AD (summary risk ratio, 1.60; 95% CI, 1.04-2.46; P = .03) and dementia (risk ratio, 1.67; 95% CI, 1.02-2.75; P = .04). Significant heterogeneity was found for both summary estimates, which could not be explained by participants' age, sex distribution, the study's follow-up time, or year of publication. Plasma levels of Aβ(40) and Aβ(42) alone were not significantly associated with either outcome. CONCLUSIONS Overall, the literature indicates that plasma Aβ(42):Aβ(40) ratios predict development of AD and dementia. However, significant heterogeneity in the meta-analysis underlines the need for substantial further investigation of plasma amyloid-β levels as a preclinical biomarker.
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Affiliation(s)
- Alain Koyama
- Department of Psychiatry, University of California at San Francisco, USA.
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19
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Relation between insulin, insulin-related factors, and plasma amyloid beta peptide levels at midlife in a population-based study. Alzheimer Dis Assoc Disord 2012; 26:50-4. [PMID: 21502851 DOI: 10.1097/wad.0b013e31821764ce] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Little is known regarding factors associated with soluble amyloid beta peptide (Aβ) concentrations in humans at late midlife, when Aβ is likely most critical to Alzheimer disease pathogenesis. We examined the association between insulin, insulin-related factors, and plasma Aβ at late midlife. Plasma Aβ42, Aβ40, fasting insulin, and c-peptide were measured in 468 women without diabetes, aged 59 to 69 years (median 63 y). Before blood draw, participants reported body mass index, waist circumference, physical activity, alcohol intake, hypertension, and diabetes family history. Linear regression was used to calculate age-adjusted mean differences in Aβ42 to Aβ40 ratio, and Aβ42 levels, by insulin and insulin-related factors. The ratio of Aβ42 to Aβ40 was statistically significantly lower in women with family history of diabetes, and Aβ42 was significantly lower with less physical activity, greater waist circumference, hypertension, and family history of diabetes (P<0.05 for all). Aβ42 to Aβ40 ratio, and Aβ42 levels, appeared lower with higher c-peptide levels (P trend=0.07 and 0.06, respectively), although these were not statistically significant. In summary, insulin-related factors appear associated with lower plasma Aβ42 to Aβ40 ratio, and Aβ42, at late midlife, consistent with increased brain sequestration of Aβ42 (relative to Aβ40), suggesting insulin merits focus in strategies to prevent dementia.
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20
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Song F, Poljak A, Valenzuela M, Mayeux R, Smythe GA, Sachdev PS. Meta-analysis of plasma amyloid-β levels in Alzheimer's disease. J Alzheimers Dis 2012; 26:365-75. [PMID: 21709378 DOI: 10.3233/jad-2011-101977] [Citation(s) in RCA: 107] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Plasma amyloid-β (Aβ) levels have been proposed as biomarkers of Alzheimer's disease (AD), but studies have produced inconsistent results. We present a meta-analytic review of cross-sectional studies that examined plasma Aβ levels in AD and cognitively normal subjects, and longitudinal studies that used baseline plasma Aβ levels to predict conversion from normal cognition to AD. Medline and EMBASE databases were searched to generate an initial list of relevant studies, and selected authors approached for additional data. Twelve cross- sectional studies (n = 1483) and seven longitudinal (n = 3920) met the inclusion criteria for meta-analysis. Random effects model was used to calculate the weighted mean difference (WMD) by Review Manager Version 4.2. In longitudinal studies, cognitively normal individuals who converted to AD had higher baseline Aβ1-40 and Aβ1-42 levels (WMD: 10.29, z = 3.80, p = 0.0001 and WMD: 8.01, z = 2.76, p = 0.006, respectively), and non-significantly increased Aβ1-42/Aβ1-40 ratio (WMD: 0.03, z = 1.65, p = 0.10). In cross sectional studies, compared to cognitively normal individuals, AD patients had marginally but non-significantly lower Aβ1-42 levels (WMD:-2.84, z = 1.73, p = 0.08), but Aβ1-40 levels were not significantly different (WMD: 3.43, z = 0.40, p = 0.69). Our systematic review suggests a model of differential longitudinal changes in plasma Aβ levels in cognitively stable individuals versus those who go on to develop AD dementia. Baseline Aβ1-40 and Aβ1-42 levels in cognitively normal elderly individuals might be predictors of higher rates of progression to AD, and should be further explored as potential biomarkers.
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Affiliation(s)
- Fei Song
- Bioanalytical Mass Spectrometry Facility, University of New South Wales, Sydney, Australia
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21
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Hypoxia due to cardiac arrest induces a time-dependent increase in serum amyloid β levels in humans. PLoS One 2011; 6:e28263. [PMID: 22194817 PMCID: PMC3237426 DOI: 10.1371/journal.pone.0028263] [Citation(s) in RCA: 121] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2011] [Accepted: 11/04/2011] [Indexed: 01/18/2023] Open
Abstract
Amyloid β (Aβ) peptides are proteolytic products from amyloid precursor protein (APP) and are thought to play a role in Alzheimer disease (AD) pathogenesis. While much is known about molecular mechanisms underlying cerebral Aβ accumulation in familial AD, less is known about the cause(s) of brain amyloidosis in sporadic disease. Animal and postmortem studies suggest that Aβ secretion can be up-regulated in response to hypoxia. We employed a new technology (Single Molecule Arrays, SiMoA) capable of ultrasensitive protein measurements and developed a novel assay to look for changes in serum Aβ42 concentration in 25 resuscitated patients with severe hypoxia due to cardiac arrest. After a lag period of 10 or more hours, very clear serum Aβ42 elevations were observed in all patients. Elevations ranged from approximately 80% to over 70-fold, with most elevations in the range of 3–10-fold (average approximately 7-fold). The magnitude of the increase correlated with clinical outcome. These data provide the first direct evidence in living humans that ischemia acutely increases Aβ levels in blood. The results point to the possibility that hypoxia may play a role in the amyloidogenic process of AD.
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Decourt B, Sabbagh MN. BACE1 as a potential biomarker for Alzheimer's disease. J Alzheimers Dis 2011; 24 Suppl 2:53-9. [PMID: 21403391 DOI: 10.3233/jad-2011-110017] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The diagnosis of Alzheimer's disease (AD) relies principally on clinical criteria for probable and possible AD as defined by the NINCDS-ADRDRA. The field is desperately lacking of biological markers to assist with AD diagnosis and verification of treatment efficacy. According to the Consensus Report of the Working Group on Molecular and Biochemical Markers of Alzheimer's Disease, in order to qualify as a biomarker the sample in question must adhere to certain basic requirements, including the ability to: reflect AD pathology and differentiate it from other dementia with an 80% sensitivity; be reliable and reproducible; be easy to perform and analyze; remain relatively inexpensive. Beta secretases are crucial enzymes in the pathogenesis of AD. Given its primary role in brain amyloidogenesis and its ubiquitous expression, one may consider measuring peripheral BACE1 levels and activity as biomarkers of AD, like performed in the brain and cerebrospinal fluid. However, very little is known about the periphery and whether peripheral BACE1 is involved in AD pathogenesis or mirrors AD progression. Moreover, no investigation has focused on the possibility of monitoring peripheral BACE1 to assess the efficiency of BACE1 inhibitors during the course of clinical trials. Part of the problem may be attributed to the lack of sensitive molecular tools which are absolutely necessary to use BACE1 as a biomarker. In this review we evaluate the progress and feasibility of developing BACE1 as a biomarker for AD in different tissues.
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Affiliation(s)
- Boris Decourt
- Banner Sun Health Research Institute, Haldeman Laboratory of Molecular Diagnostics and Therapeutics, Sun City, AZ 85351, USA.
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23
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Sun X, Bhadelia R, Liebson E, Bergethon P, Folstein M, Zhu JJ, Mwamburi DM, Patz S, Qiu WQ. The relationship between plasma amyloid-β peptides and the medial temporal lobe in the homebound elderly. Int J Geriatr Psychiatry 2011; 26:593-601. [PMID: 21480376 PMCID: PMC5357567 DOI: 10.1002/gps.2568] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2010] [Accepted: 05/13/2010] [Indexed: 11/06/2022]
Abstract
BACKGROUND The ratio of high amyloid-β peptide40 (Aβ40) and low Aβ42 in plasma predicts the risk of Alzheimer's disease (AD) and is associated with episodic recall in depression. We thus examined the relationship between plasma Aβ levels and brain volumes. METHODS Homebound elders (N = 352) who had undergone brain MRI were used. Plasma Aβ1-40 and Aβ1-42 were measured by ELISA. Volumes of medial temporal regions, including the amygdala and hippocampus, were manually measured. RESULTS Amygdala volume was associated with log(10) of plasma Aβ1-42 (β = +0.19, SE = 0.07, p = 0.005) after adjusting for AD, infarcts, white matter hyperintensities and demographics. In the absence of dementia, decreasing quartiles of plasma Aβ1-42 (Mean + SD ml: Q4 = 4.1 ± 0.8; Q3 = 3.9 ± 0.7; Q2 = 3.6 ± 0.8 and Q1 = 3.7 ± 0.8, p = 0.01) and increasing quartiles of plasma Aβ1-40/1-42 ratio were associated with smaller amygdala volume. Those depressed subjects with a high plasma Aβ1-40/1-42 ratio had smaller amygdala (Mean + SD ml: 3.3 ± 0.8 vs. 3.6 ± 0.8, p = 0.04) and total brain volume (Mean + SD liter: 0.95 ± 0.07 vs. 1.04 ± 0.12, p = 0.005), and had a higher rate of MCI (67 vs. 36%, p = 0.02) than those with a low plasma Aβ1-40/1-42 ratio. CONCLUSIONS The combination of low plasma Aβ1-42 concentration and atrophy of the medial temporal lobe structures, which regulates mood and cognition, may represent a biomarker for a prodromal stage of AD.
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Affiliation(s)
- Xiaoyan Sun
- Department of Psychiatry, Tufts Medical Center, Tufts University School of Medicine, MA, USA,Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy at Tufts University, MA, USA
| | - Rafeeque Bhadelia
- Department of Radiology, Beth Israel Deaconess Medical Center, MA, USA
| | | | | | - Marshal Folstein
- Department of Psychiatry, Tufts Medical Center, Tufts University School of Medicine, MA, USA,Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy at Tufts University, MA, USA
| | - Jay-Jiguang Zhu
- Department of Neurology, Tufts Medical Center, Tufts University School of Medicine, MA, USA
| | - D. Mkaya Mwamburi
- Department of Public Health and Family Medicine, Tufts University, MA, USA
| | - Samuel Patz
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, MA, USA
| | - Wei Qiao Qiu
- Department of Psychiatry, Tufts Medical Center, Tufts University School of Medicine, MA, USA,Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy at Tufts University, MA, USA,Boston University School of Medicine, MA, USA
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24
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Westmark CJ, Hervey CM, Berry-Kravis EM, Malter JS. Effect of Anticoagulants on Amyloid β-Protein Precursor and Amyloid Beta Levels in Plasma. ACTA ACUST UNITED AC 2011; 1:101. [PMID: 23459194 DOI: 10.4172/2161-0460.1000101] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Altered levels of amyloid β-protein precursor (AβPP) and/or amyloid beta (Aβ) are characteristic of several neurological disorders including Alzheimer's disease (AD), Down syndrome (DS), Fragile X syndrome (FXS), Parkinson's disease (PD), autism and epilepsy. Thus, these proteins could serve as valuable blood-based biomarkers for assessing disease severity and pharmacological efficacy. We have observed significant differences in Aβ1-42 levels in human plasma dependent on the anticoagulant utilized during blood collection. Our data suggests that anticoagulants alter AβPP processing and that care needs to be used in comparing published studies that have not utilized the same blood collection methodology.
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Affiliation(s)
- Cara J Westmark
- Waisman Center for Developmental Disabilities University of Wisconsin, Madison, WI 53705
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25
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Takeda S, Sato N, Rakugi H, Morishita R. Plasma beta-amyloid as potential biomarker of Alzheimer disease: possibility of diagnostic tool for Alzheimer disease. MOLECULAR BIOSYSTEMS 2010; 6:1760-6. [PMID: 20567751 DOI: 10.1039/c003148h] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Alzheimer disease (AD), which is characterized by progressive cognitive and behavioral deficit, is the most common form of dementia. The incidence of AD is increasing at an alarming rate, and has become a major public health concern in many countries. It is well known that the onset of AD is preceded by a long preclinical period. It is thus critical to establish diagnostic biomarkers that can predict the risk of developing AD prior to clinical manifestation of dementia, for effective prevention and early intervention. With the emergence of potential promising approaches to treat AD targeting the beta-amyloid (Abeta) pathway, such as gamma-secretase inhibitors and vaccine therapy, there is an urgent need for such diagnostic markers. Although cerebrospinal fluid (CSF) Abeta and tau protein levels are candidate biomarkers for AD, the invasive sampling procedure with associated complications limits their use in routine clinical practice. Plasma Abeta has been suggested as an inexpensive and non-invasive biomarker for AD. Although most previous cross-sectional studies on plasma Abeta level in humans failed to show a significant difference between individuals with AD compared to healthy older adults, many strategies are under investigation to improve the diagnostic potential of plasma Abeta. One promising approach is to modify the plasma Abeta level using some potential modulators. It is possible that a difference in plasma Abeta level might be unmasked by evaluating the response to stimulation by a modulator. Anti-Abeta antibody and Abeta binding proteins have been reported to be such modulators of plasma Abeta. In addition, the glucometabolic or hormonal status appears to modulate the plasma Abeta level. Our recent study has shown the possibility that glucose loading could be a novel simple strategy to modulate the plasma Abeta level, making it better suited for early diagnosis. This review summarizes the utility and limitations of current biomarkers of AD and discusses future strategies to improve the diagnostic potential of plasma Abeta.
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Affiliation(s)
- Shuko Takeda
- Department of Clinical Gene Therapy, Graduate School of Medicine, Osaka University, Yamada-oka, Suita, Osaka 565-0871, Japan
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26
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Okereke OI, Xia W, Selkoe DJ, Grodstein F. Ten-year change in plasma amyloid beta levels and late-life cognitive decline. ACTA ACUST UNITED AC 2009; 66:1247-53. [PMID: 19822780 DOI: 10.1001/archneurol.2009.207] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Plasma levels of amyloid beta peptide (Abeta) are potential biomarkers of early cognitive impairment and decline and of Alzheimer disease risk. OBJECTIVE To relate midlife plasma Abeta measures and 10-year change in plasma Abeta measures since midlife to late-life cognitive decline. DESIGN Prospective study of a population-based sample. SETTING Academic research. PARTICIPANTS Plasma Abeta40 and Abeta42 levels were measured in 481 Nurses' Health Study participants in late midlife (mean age, 63.6 years) and again 10 years later (mean age, 74.6 years). Cognitive testing also began 10 years after the initial blood draw. Participants completed 3 repeated telephone-based assessments (mean span, 4.1 years). Multivariable linear mixed-effects models were used to estimate relations of midlife plasma Abeta40 to Abeta42 ratios and Abeta42 levels to late-life cognitive decline, as well as relations of 10-year change in Abeta40 to Abeta42 ratios and Abeta42 levels to cognitive decline. MAIN OUTCOME MEASURES The 3 primary outcomes were the Telephone Interview for Cognitive Status (TICS) findings, a global score averaging the results of all tests (TICS, immediate and delayed verbal recall, category fluency, and attention), and a verbal memory score averaging the results of 4 tests of verbal recall. RESULTS Higher midlife plasma Abeta40 to Abeta42 ratios were associated with worse late-life decline on the global score (P = .04 for trend). Furthermore, increase in Abeta40 to Abeta42 ratios since midlife predicted greater decline in the global score (P = .03 for trend) and in the TICS (P = .02 for trend). There was no association of cognitive decline with midlife plasma Abeta42 levels alone or with change in Abeta42 levels since midlife. CONCLUSION In this large community-dwelling sample, higher plasma Abeta40 to Abeta42 ratios in late midlife and increases in Abeta40 to Abeta42 ratios 10 years later were significantly associated with greater decline in global cognition at late life.
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Affiliation(s)
- Olivia I Okereke
- Division of Aging and Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Ave, Third Floor, Boston, MA 02115, USA.
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