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Zeng X, Chen Y, Sehrawat A, Lee J, Lafferty TK, Kofler J, Berman SB, Sweet RA, Tudorascu DL, Klunk WE, Ikonomovic MD, Pfister A, Zetterberg H, Snitz BE, Cohen AD, Villemagne VL, Pascoal TA, Kamboh ML, Lopez OI, Blennow K, Karikari TK. Alzheimer blood biomarkers: practical guidelines for study design, sample collection, processing, biobanking, measurement and result reporting. Mol Neurodegener 2024; 19:40. [PMID: 38750570 PMCID: PMC11095038 DOI: 10.1186/s13024-024-00711-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 02/13/2024] [Indexed: 05/19/2024] Open
Abstract
Alzheimer's disease (AD), the most common form of dementia, remains challenging to understand and treat despite decades of research and clinical investigation. This might be partly due to a lack of widely available and cost-effective modalities for diagnosis and prognosis. Recently, the blood-based AD biomarker field has seen significant progress driven by technological advances, mainly improved analytical sensitivity and precision of the assays and measurement platforms. Several blood-based biomarkers have shown high potential for accurately detecting AD pathophysiology. As a result, there has been considerable interest in applying these biomarkers for diagnosis and prognosis, as surrogate metrics to investigate the impact of various covariates on AD pathophysiology and to accelerate AD therapeutic trials and monitor treatment effects. However, the lack of standardization of how blood samples and collected, processed, stored analyzed and reported can affect the reproducibility of these biomarker measurements, potentially hindering progress toward their widespread use in clinical and research settings. To help address these issues, we provide fundamental guidelines developed according to recent research findings on the impact of sample handling on blood biomarker measurements. These guidelines cover important considerations including study design, blood collection, blood processing, biobanking, biomarker measurement, and result reporting. Furthermore, the proposed guidelines include best practices for appropriate blood handling procedures for genetic and ribonucleic acid analyses. While we focus on the key blood-based AD biomarkers for the AT(N) criteria (e.g., amyloid-beta [Aβ]40, Aβ42, Aβ42/40 ratio, total-tau, phosphorylated-tau, neurofilament light chain, brain-derived tau and glial fibrillary acidic protein), we anticipate that these guidelines will generally be applicable to other types of blood biomarkers. We also anticipate that these guidelines will assist investigators in planning and executing biomarker research, enabling harmonization of sample handling to improve comparability across studies.
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Affiliation(s)
- Xuemei Zeng
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Yijun Chen
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Anuradha Sehrawat
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Jihui Lee
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Tara K Lafferty
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Julia Kofler
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Sarah B Berman
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Robert A Sweet
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Dana L Tudorascu
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - William E Klunk
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Milos D Ikonomovic
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA
| | - Anna Pfister
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Beth E Snitz
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Anne D Cohen
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Victor L Villemagne
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Tharick A Pascoal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - M Llyas Kamboh
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Oscar I Lopez
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Thomas K Karikari
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA.
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
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Huber H, Ashton NJ, Schieren A, Montoliu-Gaya L, Molfetta GD, Brum WS, Lantero-Rodriguez J, Grötschel L, Stoffel-Wagner B, Coenen M, Weinhold L, Schmid M, Blennow K, Stehle P, Zetterberg H, Simon MC. Levels of Alzheimer's disease blood biomarkers are altered after food intake-A pilot intervention study in healthy adults. Alzheimers Dement 2023; 19:5531-5540. [PMID: 37243891 DOI: 10.1002/alz.13163] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 04/26/2023] [Accepted: 04/28/2023] [Indexed: 05/29/2023]
Abstract
INTRODUCTION Blood biomarkers accurately identify Alzheimer's disease (AD) pathophysiology and axonal injury. We investigated the influence of food intake on AD-related biomarkers in cognitively healthy, obese adults at high metabolic risk. METHODS One-hundred eleven participants underwent repeated blood sampling during 3 h after a standardized meal (postprandial group, PG). For comparison, blood was sampled from a fasting subgroup over 3 h (fasting group, FG). Plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), amyloid-beta (Aβ) 42/40, phosphorylated tau (p-tau) 181 and 231, and total-tau were measured via single molecule array assays. RESULTS Significant differences were found for NfL, GFAP, Aβ42/40, p-tau181, and p-tau231 between FG and PG. The greatest change to baseline occurred for GFAP and p-tau181 (120 min postprandially, p < 0.0001). CONCLUSION Our data suggest that AD-related biomarkers are altered by food intake. Further studies are needed to verify whether blood biomarker sampling should be performed in the fasting state. HIGHLIGHTS Acute food intake alters plasma biomarkers of Alzheimer's disease in obese, otherwise healthy adults. We also found dynamic fluctuations in plasma biomarkers concentration in the fasting state suggesting physiological diurnal variations. Further investigations are highly needed to verify if biomarker measurements should be performed in the fasting state and at a standardized time of day to improve the diagnostic accuracy.
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Affiliation(s)
- Hanna Huber
- Nutritional Physiology, Institute of Nutrition and Food Science, University of Bonn, Bonn, Germany
- Nutrition and Microbiota, Institute of Nutrition and Food Science, University of Bonn, Bonn, Germany
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Alina Schieren
- Nutrition and Microbiota, Institute of Nutrition and Food Science, University of Bonn, Bonn, Germany
| | - Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
| | - Guglielmo Di Molfetta
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
| | - Wagner S Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
| | - Lana Grötschel
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
| | - Birgit Stoffel-Wagner
- Central Laboratory, Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, Bonn, Germany
| | - Martin Coenen
- Clinical Study Core Unit, Study Center Bonn, Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, Bonn, Germany
| | - Leonie Weinhold
- Institute of Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany
| | - Matthias Schmid
- Institute of Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal Hospital, Mölndal, Sweden
| | - Peter Stehle
- Nutritional Physiology, Institute of Nutrition and Food Science, University of Bonn, Bonn, Germany
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Marie-Christine Simon
- Nutrition and Microbiota, Institute of Nutrition and Food Science, University of Bonn, Bonn, Germany
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Mansilla A, Canyelles M, Ferrer R, Arranz J, Rodríguez-Baz Í, Zhu N, Rubio-Guerra S, El Bounasri S, Sánchez O, Torres S, Fortea J, Lleó A, Alcolea D, Tondo M. Effects of storage conditions on the stability of blood-based markers for the diagnosis of Alzheimer's disease. Clin Chem Lab Med 2023; 61:1580-1589. [PMID: 37083158 DOI: 10.1515/cclm-2023-0245] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/12/2023] [Indexed: 04/22/2023]
Abstract
OBJECTIVES Alzheimer's disease (AD) is considered the most common cause of dementia in older people. Recently, blood-based markers (BBM) Aβ1-42, Aβ1-40, and phospho Tau181 (p-Tau181) have demonstrated the potential to transform the diagnosis and prognostic assessment of AD. Our aim was to investigate the effect of different storage conditions on the quantification of these BBM and to evaluate the interchangeability of plasma and serum samples. METHODS Forty-two individuals with some degree of cognitive impairment were studied. Thirty further patients were retrospectively selected. Aβ1-42, Aβ1-40, and p-Tau181 were quantified using the LUMIPULSE-G600II automated platform. To assess interchangeability between conditions, correction factors for magnitudes that showed strong correlations were calculated, followed by classification consistency studies. RESULTS Storing samples at 4 °C for 8-9 days was associated with a decrease in Aβ fractions but not when stored for 1-2 days. Using the ratio partially attenuated the pre-analytical effects. For p-Tau181, samples stored at 4 °C presented lower concentrations, whereas frozen samples presented higher ones. Concerning classification consistency in comparisons that revealed strong correlations (p-Tau181), the percentage of total agreement was greater than 90 % in a large number of the tested cut-offs values. CONCLUSIONS Our findings provide relevant information for the standardization of sample collection and storage in the analysis of AD BBM in an automated platform. This knowledge is crucial to ensure their introduction into clinical settings.
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Affiliation(s)
- Andrea Mansilla
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
| | - Marina Canyelles
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain
| | - Rosa Ferrer
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
| | - Javier Arranz
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Íñigo Rodríguez-Baz
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Nuole Zhu
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Sara Rubio-Guerra
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Shaimaa El Bounasri
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Oriol Sánchez
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Soraya Torres
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB Sant Pau) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Mireia Tondo
- Department of Biochemistry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute (IIB) Sant Pau, Barcelona, Spain
- Centre of Biomedical Investigation Network for Diabetes and Metabolic Diseases (CIBERDEM), Madrid, Spain
- Comisión de Neuroquímica y Enfermedades Neurológicas, Sociedad Española de Medicina de Laboratorio, Barcelona, Spain
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Hu WT, Nayyar A, Kaluzova M. Charting the Next Road Map for CSF Biomarkers in Alzheimer's Disease and Related Dementias. Neurotherapeutics 2023; 20:955-974. [PMID: 37378862 PMCID: PMC10457281 DOI: 10.1007/s13311-023-01370-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2023] [Indexed: 06/29/2023] Open
Abstract
Clinical prediction of underlying pathologic substrates in people with Alzheimer's disease (AD) dementia or related dementia syndromes (ADRD) has limited accuracy. Etiologic biomarkers - including cerebrospinal fluid (CSF) levels of AD proteins and cerebral amyloid PET imaging - have greatly modernized disease-modifying clinical trials in AD, but their integration into medical practice has been slow. Beyond core CSF AD biomarkers (including beta-amyloid 1-42, total tau, and tau phosphorylated at threonine 181), novel biomarkers have been interrogated in single- and multi-centered studies with uneven rigor. Here, we review early expectations for ideal AD/ADRD biomarkers, assess these goals' future applicability, and propose study designs and performance thresholds for meeting these ideals with a focus on CSF biomarkers. We further propose three new characteristics: equity (oversampling of diverse populations in the design and testing of biomarkers), access (reasonable availability to 80% of people at risk for disease, along with pre- and post-biomarker processes), and reliability (thorough evaluation of pre-analytical and analytical factors influencing measurements and performance). Finally, we urge biomarker scientists to balance the desire and evidence for a biomarker to reflect its namesake function, indulge data- as well as theory-driven associations, re-visit the subset of rigorously measured CSF biomarkers in large datasets (such as Alzheimer's disease neuroimaging initiative), and resist the temptation to favor ease over fail-safe in the development phase. This shift from discovery to application, and from suspended disbelief to cogent ingenuity, should allow the AD/ADRD biomarker field to live up to its billing during the next phase of neurodegenerative disease research.
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Affiliation(s)
- William T Hu
- Department of Neurology, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, 125 Paterson Street, Suite 6200, New Brunswick, NJ, 08901, USA.
- Center for Innovation in Health and Aging Research, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, 08901, USA.
| | - Ashima Nayyar
- Department of Neurology, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, 125 Paterson Street, Suite 6200, New Brunswick, NJ, 08901, USA
| | - Milota Kaluzova
- Department of Neurology, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, 125 Paterson Street, Suite 6200, New Brunswick, NJ, 08901, USA
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Kurz C, Stöckl L, Schrurs I, Suridjan I, Gürsel SÜ, Bittner T, Jethwa A, Perneczky R. Impact of pre-analytical sample handling factors on plasma biomarkers of Alzheimer's disease. J Neurochem 2023; 165:95-105. [PMID: 36625424 DOI: 10.1111/jnc.15757] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 12/07/2022] [Accepted: 12/30/2022] [Indexed: 01/11/2023]
Abstract
An unmet need exists for reliable plasma biomarkers of amyloid pathology, in the clinical laboratory setting, to streamline diagnosis of Alzheimer's disease (AD). For routine clinical use, a biomarker must provide robust and reliable results under pre-analytical sample handling conditions. We investigated the impact of different pre-analytical sample handling procedures on the levels of seven plasma biomarkers in development for potential routine use in AD. Using (1) fresh (never frozen) and (2) previously frozen plasma, we evaluated the effects of (A) storage time and temperature, (B) freeze/thaw (F/T) cycles, (C) anticoagulants, (D) tube transfer, and (E) plastic tube types. Blood samples were prospectively collected from patients with cognitive impairment undergoing investigation in a memory clinic. β-amyloid 1-40 (Aβ40), β-amyloid 1-42 (Aβ42), apolipoprotein E4, glial fibrillary acidic protein, neurofilament light chain, phosphorylated-tau (phospho-tau) 181, and phospho-tau-217 were measured using Elecsys® plasma prototype immunoassays. Recovery signals for each plasma biomarker and sample handling parameter were calculated. For all plasma biomarkers measured, pre-analytical effects were comparable between fresh (never frozen) and previously frozen samples. All plasma biomarkers tested were stable for ≤24 h at 4°C when stored as whole blood and ethylenediaminetetraacetic acid (EDTA) plasma. Recovery signals were acceptable for up to five tube transfers, or two F/T cycles, and in both polypropylene and low-density polyethylene tubes. For all plasma biomarkers except Aβ42 and Aβ40, analyte levels were largely comparable between EDTA, lithium heparin, and sodium citrate tubes. Aβ42 and Aβ40 were most sensitive to pre-analytical handling, and the effects could only be partially compensated by the Aβ42/Aβ40 ratio. We provide recommendations for an optimal sample handling protocol for analysis of plasma biomarkers for amyloid pathology AD, to improve the reproducibility of future studies on plasma biomarkers assays and for potential use in routine clinical practice.
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Affiliation(s)
- Carolin Kurz
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | | | | | | | - Selim Üstün Gürsel
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | | | | | - Robert Perneczky
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.,German Center for Neurodegenerative Disorders (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.,Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
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6
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Panikkar D, Vivek S, Crimmins E, Faul J, Langa KM, Thyagarajan B. Pre-Analytical Variables Influencing Stability of Blood-Based Biomarkers of Neuropathology. J Alzheimers Dis 2023; 95:735-748. [PMID: 37574735 DOI: 10.3233/jad-230384] [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] [Indexed: 08/15/2023]
Abstract
BACKGROUND Sample collection and preanalytical protocols may significantly impact the results of large-scale epidemiological studies incorporating blood-based biomarkers of neuropathology. OBJECTIVE To evaluate the stability and assay variability of several blood-based biomarkers of neuropathology for common preanalytical conditions. METHODS We collected serum and plasma samples from 41 participants and evaluated the effect of processing delay of up to 72 h when stored at 4∘C, three freeze-thaw cycles, and a combination of 48-h processing delay when stored at 4∘C and three freeze-thaw cycles on biomarker stability. Using the Simoa assay (Quanterix Inc.), we measured amyloid-β 40 (Aβ40), amyloid-β 42 (Aβ42), neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and phosphorylated tau 181 (p-tau-181). RESULTS We found that Aβ40 and Aβ42 levels significantly decreased after a 24-h processing delay in both plasma and serum samples, and a single freeze-thaw cycle (p < 0.0001). Nevertheless, serum Aβ42/40 ratio remained stable with a processing delay up to 48 h while plasma Aβ42/40 ratio showed only small but significant increase with a delay up to 72 h. Both plasma and serum GFAP and NfL levels were only modestly affected by processing delay and freeze-thaw cycles. Plasma p-tau-181 levels notably increased with a 24-, 48-, and 72-h processing delay, but remained stable in serum. Intra-individual variation over two weeks was minimal for all biomarkers and their levels were substantially lower in serum when compared with plasma. CONCLUSION These results suggest that standardizing preanalytical variables will allow robust measurements of biomarkers of neuropathology in population studies.
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Affiliation(s)
- Daniel Panikkar
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
| | - Sithara Vivek
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Eileen Crimmins
- Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Jessica Faul
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
| | - Kenneth M Langa
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, MI, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
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Plasma Phospho-Tau-181 as a Diagnostic Aid in Alzheimer’s Disease. Biomedicines 2022; 10:biomedicines10081879. [PMID: 36009425 PMCID: PMC9405617 DOI: 10.3390/biomedicines10081879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/20/2022] [Accepted: 07/27/2022] [Indexed: 11/16/2022] Open
Abstract
Cerebrospinal fluid (CSF) biomarkers remain the gold standard for fluid-biomarker-based diagnosis of Alzheimer’s disease (AD) during life. Plasma biomarkers avoid lumbar puncture and allow repeated sampling. Changes of plasma phospho-tau-181 in AD are of comparable magnitude and seem to parallel the changes in CSF, may occur in preclinical or predementia stages of the disease, and may differentiate AD from other causes of dementia with adequate accuracy. Plasma phospho-tau-181 may offer a useful alternative to CSF phospho-tau determination, but work still has to be done concerning the optimal method of determination with the highest combination of sensitivity and specificity and cost-effect parameters.
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8
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Wong YY, Wu CY, Yu D, Kim E, Wong M, Elez R, Zebarth J, Ouk M, Tan J, Liao J, Haydarian E, Li S, Fang Y, Li P, Pakosh M, Tartaglia MC, Masellis M, Swardfager W. Biofluid markers of blood-brain barrier disruption and neurodegeneration in Lewy body spectrum diseases: A systematic review and meta-analysis. Parkinsonism Relat Disord 2022; 101:119-128. [PMID: 35760718 DOI: 10.1016/j.parkreldis.2022.06.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 06/01/2022] [Accepted: 06/08/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Mixed evidence supports blood-brain barrier (BBB) dysfunction in Lewy body spectrum diseases. METHODS We compare biofluid markers in people with idiopathic Parkinson's disease (PD) and people with PD dementia (PDD) and/or dementia with Lewy bodies (DLB), compared with healthy controls (HC). Seven databases were searched up to May 10, 2021. Outcomes included cerebrospinal fluid to blood albumin ratio (Qalb), and concentrations of 7 blood protein markers that also reflect BBB disruption and/or neurodegenerative co-pathology. We further explore differences between PD patients with and without evidence of dementia. Random-effects models were used to obtain standardized mean differences (SMD) with 95% confidence interval. RESULTS Of 13,949 unique records, 51 studies were meta-analyzed. Compared to HC, Qalb was higher in PD (NPD/NHC = 224/563; SMD = 0.960 [0.227-1.694], p = 0.010; I2 = 92.2%) and in PDD/DLB (NPDD/DLB/NHC = 265/670; SMD = 1.126 [0.358-1.893], p < 0.001; I2 = 78.2%). Blood neurofilament light chain (NfL) was higher in PD (NPD/NHC = 1848/1130; SMD = 0.747 [0.442-1.052], p < 0.001; I2 = 91.9%) and PDD/DLB (NPDD/DLB/NHC = 183/469; SMD = 1.051 [0.678-1.423], p = 0.004; I2 = 92.7%) than in HC. p-tau 181 (NPD/NHC = 276/164; SMD = 0.698 [0.149-1.247], p = 0.013; I2 = 82.7%) was also higher in PD compared to HC. In exploratory analyses, blood NfL was higher in PD without dementia (NPDND/NHC = 1005/740; SMD = 0.252 [0.042-0.462], p = 0.018; I2 = 71.8%) and higher in PDD (NPDD/NHC = 100/111; SMD = 0.780 [0.347-1.214], p < 0.001; I2 = 46.7%) compared to HC. Qalb (NPDD/NPDND = 63/191; SMD = 0.482 [0.189-0.774], p = 0.010; I2<0.001%) and NfL (NPDD/NPDND = 100/223; SMD = 0.595 [0.346-0.844], p < 0.001; I2 = 3.4%) were higher in PDD than in PD without dementia. CONCLUSIONS Biofluid markers suggest BBB disruption and neurodegenerative co-pathology involvement in common Lewy body diseases. Greater evidence of BBB breakdown was seen in Lewy body disease with cognitive impairment.
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Affiliation(s)
- Yuen Yan Wong
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Che-Yuan Wu
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Di Yu
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Esther Kim
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Melissa Wong
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Renata Elez
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Julia Zebarth
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Michael Ouk
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Jocelyn Tan
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Jiamin Liao
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Eileen Haydarian
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Siming Li
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Yaolu Fang
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Peihao Li
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Maureen Pakosh
- Library & Information Services, UHN Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Mario Masellis
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Walter Swardfager
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; KITE UHN Toronto Rehabilitation Institute, Toronto, Ontario, Canada.
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9
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Zhang L, Wang D, Dai Y, Wang X, Cao Y, Liu W, Tao Z. Machine Learning Reveals a Multipredictor Nomogram for Diagnosing the Alzheimer's Disease Based on Chemiluminescence Immunoassay for Total Tau in Plasma. Front Aging Neurosci 2022; 14:863673. [PMID: 35645782 PMCID: PMC9136081 DOI: 10.3389/fnagi.2022.863673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/14/2022] [Indexed: 11/10/2022] Open
Abstract
Background Predicting amnestic mild cognitive impairment (aMCI) in conversion and Alzheimer's disease (AD) remains a daunting task. Standard diagnostic procedures for AD population are reliant on neuroimaging features (positron emission tomography, PET), cerebrospinal fluid (CSF) biomarkers (Aβ1-42, T-tau, P-tau), which are expensive or require invasive sampling. The blood-based biomarkers offer the opportunity to provide an alternative approach for easy diagnosis of AD, which would be a less invasive and cost-effective screening tool than currently approved CSF or amyloid β positron emission tomography (PET) biomarkers. Methods We developed and validated a sensitive and selective immunoassay for total Tau in plasma. Robust signatures were obtained based on several clinical features selected by multiple machine learning algorithms between the three participant groups. Subsequently, a well-fitted nomogram was constructed and validated, integrating clinical factors and total Tau concentration. The predictive performance was evaluated according to the receiver operating characteristic (ROC) curves and area under the curve (AUC) statistics. Decision curve analysis and calibration curves are used to evaluate the net benefit of nomograms in clinical decision-making. Results Under optimum conditions, chemiluminescence analysis (CLIA) displays a desirable dynamic range within Tau concentration from 7.80 to 250 pg/mL with readily achieved higher performances (LOD: 5.16 pg/mL). In the discovery cohort, the discrimination between the three well-defined participant groups according to Tau concentration was in consistent agreement with clinical diagnosis (AD vs. non-MCI: AUC = 0.799; aMCI vs. non-MCI: AUC = 0.691; AD vs. aMCI: AUC = 0.670). Multiple machine learning algorithms identified Age, Gender, EMPG, Tau, ALB, HCY, VB12, and/or Glu as robust signatures. A nomogram integrated total Tau concentration and clinical factors provided better predictive performance (AD vs. non-MCI: AUC = 0.960, AD vs. aMCI: AUC = 0.813 in discovery cohort; AD vs. non-MCI: AUC = 0.938, AD vs. aMCI: AUC = 0.754 in validation cohort). Conclusion The developed assay and a satisfactory nomogram model hold promising clinical potential for early diagnosis of aMCI and AD participants.
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10
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Heshmatollah A, Fani L, Koudstaal PJ, Ghanbari M, Ikram MA, Ikram MK. Plasma Amyloid Beta, Total-Tau and Neurofilament Light Chain Levels and the Risk of Stroke: A Prospective Population-Based Study. Neurology 2022; 98:e1729-e1737. [PMID: 35232820 DOI: 10.1212/wnl.0000000000200004] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 01/03/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To unravel whether Alzheimer's disease-related pathology or neurodegeneration play a role in stroke etiology, we determined the effect of plasma levels amyloid β (Aβ), total-tau and neurofilament light chain (NfL) on risk of stroke and its subtypes. METHODS Between 2002 and 2005, we measured plasma Aβ40, Aβ42, total-tau, and NfL in 4,661 stroke-free participants from the population-based Rotterdam Study. We used Cox proportional-hazards models to determine the association between these markers with incident stroke for the entire cohort, per stroke subtype, and by median age, sex, Apolipoprotein E (APOE) ε4 carriership, and education. RESULTS After a mean follow-up of 10.8 ± 3.3 years, 379 participants suffered a first-ever stroke. Log2 total-tau at baseline showed a non-linear association with risk of any stroke and ischemic stroke: compared to the first (lowest) quartile the adjusted hazard ratio for the highest quartile total-tau was 1.68, 95% CI: 1.18-2.40 for any stroke. Log2 NfL was associated with an increased risk of any stroke (HR per SD increase 1.27, 95% CI: 1.12-1.44), ischemic stroke, and hemorrhagic stroke (HR 1.56, 95% CI: 1.14-2.12). Log2 Aβ40, Aβ42, and Aβ42/40 ratio levels were not associated with stroke risk.Discussion Participants with higher total-tau and NfL at baseline had a higher risk of stroke and several stroke subtypes. These findings support the role of markers of neurodegeneration in the etiology of stroke. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that higher plasma levels of total-tau and NfL are associated with an increased risk of subsequent stroke.
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Affiliation(s)
- Alis Heshmatollah
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Lana Fani
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Peter J Koudstaal
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
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11
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Schubert CR, Paulsen AJ, Pinto AA, Merten N, Cruickshanks KJ. Effect of Long-Term Storage on the Reliability of Blood Biomarkers for Alzheimer's Disease and Neurodegeneration. J Alzheimers Dis 2021; 85:1021-1029. [PMID: 34924380 DOI: 10.3233/jad-215096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Stored blood samples from longitudinal cohort studies may be useful for studying biomarkers of preclinical Alzheimer's disease. OBJECTIVE This study aimed to determine the reliability of amyloid-β 40 and amyloid-β 42 (Aβ 40, Aβ 42), total tau (TTau), and neurofilament light (NfL) concentrations measured in blood samples stored long-term at -80°C. METHODS Aβ 40, Aβ 42, TTau, and NfL were measured in serum and plasma samples from two longitudinal cohort studies. Serum samples had been stored at -80°C for 5 (n = 24), 14 (n = 24), and 20 years (N = 78) and plasma samples had been stored for 16 years (N = 78). Biomarker concentrations were measured in duplicate using a single molecule array assay (Simoa; Quanterix, Billerica, MA). Replicate samples for each sample type and storage length were included. RESULTS The concentrations of Aβ 40, Aβ 42, TTau, and NfL were within expected ranges. Some serum TTau concentrations were below the limit of detection. The average intra-assay coefficients of variation (CV) for duplicate measures were 2-7% for all assays except for serum TTau, which were higher (CVs 13% and 17%). Mean differences in original replicate pair Aβ 40, Aβ 42, and NfL concentrations were slightly greater in samples stored for longer versus shorter time periods. CONCLUSION Aβ 40, Aβ 42, TTau, and NfL can be measured in serum and plasma samples that have been stored up to 20 years at -80°C. Long-term storage may be associated with small increases in the variability of concentrations in samples stored 14 or more years.
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Affiliation(s)
- Carla R Schubert
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Adam J Paulsen
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - A Alex Pinto
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Natascha Merten
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Karen J Cruickshanks
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
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12
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Verberk IMW, Misdorp EO, Koelewijn J, Ball AJ, Blennow K, Dage JL, Fandos N, Hansson O, Hirtz C, Janelidze S, Kang S, Kirmess K, Kindermans J, Lee R, Meyer MR, Shan D, Shaw LM, Waligorska T, West T, Zetterberg H, Edelmayer RM, Teunissen CE. Characterization of pre-analytical sample handling effects on a panel of Alzheimer's disease-related blood-based biomarkers: Results from the Standardization of Alzheimer's Blood Biomarkers (SABB) working group. Alzheimers Dement 2021; 18:1484-1497. [PMID: 34845818 PMCID: PMC9148379 DOI: 10.1002/alz.12510] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 09/10/2021] [Accepted: 09/15/2021] [Indexed: 12/11/2022]
Abstract
Introduction Pre‐analytical sample handling might affect the results of Alzheimer's disease blood‐based biomarkers. We empirically tested variations of common blood collection and handling procedures. Methods We created sample sets that address the effect of blood collection tube type, and of ethylene diamine tetraacetic acid plasma delayed centrifugation, centrifugation temperature, aliquot volume, delayed storage, and freeze–thawing. We measured amyloid beta (Aβ)42 and 40 peptides with six assays, and Aβ oligomerization‐tendency (OAβ), amyloid precursor protein (APP)699‐711, glial fibrillary acidic protein (GFAP), neurofilament light (NfL), total tau (t‐tau), and phosphorylated tau181. Results Collection tube type resulted in different values of all assessed markers. Delayed plasma centrifugation and storage affected Aβ and t‐tau; t‐tau was additionally affected by centrifugation temperature. The other markers were resistant to handling variations. Discussion We constructed a standardized operating procedure for plasma handling, to facilitate introduction of blood‐based biomarkers into the research and clinical settings.
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Affiliation(s)
- Inge M W Verberk
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Els O Misdorp
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Jannet Koelewijn
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Andrew J Ball
- Quanterix Corporation, Billerica, Massachusetts, USA
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, The Salhgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | | | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Christophe Hirtz
- IRMB-LBPC/PPC, INM, Univ Montpellier, CHU Montpellier, INSERM CNRS, Montpellier, France
| | | | | | | | - Jana Kindermans
- IRMB-LBPC/PPC, INM, Univ Montpellier, CHU Montpellier, INSERM CNRS, Montpellier, France
| | - Ryan Lee
- PeopleBio, Seongnam, South Korea
| | | | - Dandan Shan
- Quanterix Corporation, Billerica, Massachusetts, USA
| | - Leslie M Shaw
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Teresa Waligorska
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tim West
- C2N Diagnostics, St. Louis, Missouri, USA
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, The Salhgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,UK Dementia Research Institute at UCL, London, UK.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | | | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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13
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Dulla BS, S. B, K. LP. A Study on the Effect of Valeric Acid in Alzheimer's Induced Rats by the Estimation of Aβ 1-42 Biomarker. JOURNAL OF HEALTH AND ALLIED SCIENCES NU 2021. [DOI: 10.1055/s-0041-1736274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
AbstractThe effect of valeric acid on the behavior of Alzheimer's disease (AD)-induced rats by aluminum chloride (100 mg/kg body weight) was assessed using elevated plus maze (EPM) and the Hebb Williams maze (HWM). Amyloid β 1–42(Aβ1–42) biomarker was estimated by ELISA. In this study, valeric acid-treated rats were compared with those treated with piracetam (200 mg/kg), rivastigmine (0.5 mg/kg), and the results showed the rats treated with valeric acid had a very less transfer latency of EPM and HWM when compared with other standard drugs. In addition, valeric acid-treated rats showed reduced levels of amyloid β1–42 biomarker in the plasma. Hence, this study found that valeric acid may be suggested as a better drug for Alzheimer's disease.
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Affiliation(s)
- Blessina Sugandhi Dulla
- Department of Anatomy, Yenepoya Medical College, Yenepoya (deemed to be) University, Mangalore, Karnataka, India
| | - Bindhu S.
- Department of Anatomy, Yenepoya Medical College, Yenepoya (deemed to be) University, Mangalore, Karnataka, India
| | - Leena Pramod K.
- Department of Forensic Medicine and Toxicology, Yenepoya Medical College, Yenepoya (deemed to be) University, Mangalore, Karnataka, India
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14
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Lin WC, Lu CH, Chiu PY, Yang SY. Plasma Total α-Synuclein and Neurofilament Light Chain: Clinical Validation for Discriminating Parkinson's Disease from Normal Control. Dement Geriatr Cogn Disord 2021; 49:401-409. [PMID: 33242863 DOI: 10.1159/000510325] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 07/15/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND A previously published paper (referred to as the original cohort) showed that using a cutoff value of 116.1 fg/mL for the plasma total α-synuclein concentrations could discriminate Parkinson's disease (PD) patients from normal controls (NCs). In this study, another independent cohort (referred to as the validation cohort) was recruited to validate the agreement between the clinical diagnosis and the use of plasma total α-synuclein to identify PD patients. In addition to total α-synuclein, plasma neurofilament light chain (NfL) in the validation cohort was detected. METHODS Seventy PD patients and 33 NCs were enrolled in the validation cohort. A clinical diagnosis and the immunomagnetic reduction (IMR) assay for plasma total α-synuclein were performed for each participant. Thirty-three of 70 PD patients and 23 of 33 NCs were subjected to the plasma NfL assay via IMR. RESULTS The positive, negative, and overall percentages of agreement between the clinical diagnosis and plasma total α-synuclein diagnosis determined based on 116.1 fg/mL as the cutoff value were found to be 0.943, 0.818, and 0.903, respectively. The PD patients and NCs showed plasma NfL levels of 8.38 ± 4.19 pg/mL and 17.6 ± 7.95 pg/mL (p < 0.001), respectively. The cutoff value of the plasma NfL level used to differentiate PD patients from NCs was 12.8 pg/mL, with sensitivity and specificity values of 0.788 and 0.870, respectively. CONCLUSION The results demonstrate the usefulness of the plasma total α-synuclein concentration to discriminate PD patients from NCs and reveal the elevation of the plasma NfL level in PD patients.
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Affiliation(s)
- Wei-Che Lin
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Cheng-Hsien Lu
- Department of Diagnostic Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Pai-Yi Chiu
- Department of Neurology, Show Chwan Memorial Hospital and MR-guided Focus Ultrasound Center, Chang Bin Show Chwan Memorial Hospital, Chunghwa, Taiwan
| | - Shieh-Yueh Yang
- MagQu Co., Ltd., New Taipei City, Taiwan, .,MagQu LLC, Surprise, Arizona, USA,
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15
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Ding X, Zhang S, Jiang L, Wang L, Li T, Lei P. Ultrasensitive assays for detection of plasma tau and phosphorylated tau 181 in Alzheimer's disease: a systematic review and meta-analysis. Transl Neurodegener 2021; 10:10. [PMID: 33712071 PMCID: PMC7953695 DOI: 10.1186/s40035-021-00234-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 02/24/2021] [Indexed: 02/08/2023] Open
Abstract
A lack of convenient and reliable biomarkers for diagnosis and prognosis is a common challenge for neurodegenerative diseases such as Alzheimer's disease (AD). Recent advancement in ultrasensitive protein assays has allowed the quantification of tau and phosphorylated tau proteins in peripheral plasma. Here we identified 66 eligible studies reporting quantification of plasma tau and phosphorylated tau 181 (ptau181) using four ultrasensitive methods. Meta-analysis of these studies confirmed that the AD patients had significantly higher plasma tau and ptau181 levels compared with controls, and that the plasma tau and ptau181 could predict AD with high-accuracy area under curve of the Receiver Operating Characteristic. Therefore, plasma tau and plasma ptau181 can be considered as biomarkers for AD diagnosis.
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Affiliation(s)
- Xulong Ding
- Department of Neurology and State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Shuting Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lijun Jiang
- Mental Health Center and West China Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lu Wang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Tao Li
- Mental Health Center and West China Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Peng Lei
- Department of Neurology and State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China.
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16
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Ostermeier L, de Oliveira GAP, Dzwolak W, Silva JL, Winter R. Exploring the polymorphism, conformational dynamics and function of amyloidogenic peptides and proteins by temperature and pressure modulation. Biophys Chem 2020; 268:106506. [PMID: 33221697 DOI: 10.1016/j.bpc.2020.106506] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/06/2020] [Accepted: 11/06/2020] [Indexed: 11/15/2022]
Abstract
Our understanding of amyloid structures and the mechanisms by which disease-associated peptides and proteins self-assemble into these fibrillar aggregates, has advanced considerably in recent years. It is also established that amyloid fibrils are generally polymorphic. The molecular structures of the aggregation intermediates and the causes of molecular and structural polymorphism are less understood, however. Such information is mandatory to explain the pathological diversity of amyloid diseases. What is also clear is that not only protein mutations, but also the physiological milieu, i.e. pH, cosolutes, crowding and surface interactions, have an impact on fibril formation. In this minireview, we focus on the effect of the less explored physical parameters temperature and pressure on the fibrillization propensity of proteins and how these variables can be used to reveal additional mechanistic information about intermediate states of fibril formation and molecular and structural polymorphism. Generally, amyloids are very stable and can resist harsh environmental conditions, such as extreme pH, high temperature and high pressure, and can hence serve as valuable functional amyloid. As an example, we discuss the effect of temperature and pressure on the catalytic activity of peptide amyloid fibrils that exhibit enzymatic activity.
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Affiliation(s)
- Lena Ostermeier
- Physical Chemistry I - Biophysical Chemistry, Faculty of Chemistry and Chemical Biology, TU Dortmund University, Otto-Hahn Street 4a, 44227 Dortmund, Germany
| | - Guilherme A P de Oliveira
- Institute of Medical Biochemistry Leopoldo de Meis, National Institute of Science and Technology for Structural Biology and Bioimaging, National Center of Nuclear Magnetic Resonance Jiri Jonas, Federal University of Rio de Janeiro, Rio de Janeiro, RJ 21941-901, Brazil
| | - Wojciech Dzwolak
- Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Pasteur 1 Str., 02-093 Warsaw, Poland.
| | - Jerson L Silva
- Institute of Medical Biochemistry Leopoldo de Meis, National Institute of Science and Technology for Structural Biology and Bioimaging, National Center of Nuclear Magnetic Resonance Jiri Jonas, Federal University of Rio de Janeiro, Rio de Janeiro, RJ 21941-901, Brazil.
| | - Roland Winter
- Physical Chemistry I - Biophysical Chemistry, Faculty of Chemistry and Chemical Biology, TU Dortmund University, Otto-Hahn Street 4a, 44227 Dortmund, Germany.
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