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Oztug M, Vatansever B, Altin G, Akgoz M, Can SZ. An LC-MS/MS-based platform for the quantification of multiple amyloid beta peptides in surrogate cerebrospinal fluid. J Mass Spectrom Adv Clin Lab 2024; 31:40-48. [PMID: 38375485 PMCID: PMC10874986 DOI: 10.1016/j.jmsacl.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/21/2023] [Accepted: 01/19/2024] [Indexed: 02/21/2024] Open
Abstract
Introduction The accurate quantification of amyloid beta (Aβ) peptides in cerebrospinal fluid (CSF) is crucial for Alzheimer's disease (AD) research, particularly in terms of preclinical and biomarker studies. Traditional methods, such as the enzyme-linked immunosorbent assay (ELISA), have limitations. These include high costs, labor intensity, lengthy processes, and the possibility of cross-reactivity. Objectives The primary objectives of this research were twofold: to comprehensively characterize Aβ peptides and to develop a reliable and accurate method for the simultaneous quantification of Aβ 1-40 and Aβ 1-42 peptides in surrogate CSF that is traceable to the International System of Units (SI). Methods We developed a novel method that combined solid phase extraction (SPE) with isotope dilution liquid chromatography/tandem mass spectrometry (ID-LC/MSMS). SPE was employed to efficiently eliminate matrix interferences, while [15N] Aβ1-40 and [15N] Aβ1-42 served as internal standards to improve accuracy. In addition, we introduced Peptide Impurity Corrected Amino Acid Analysis (PICAA) to ensure traceability to the SI and reliable quantification of Aβ peptides. Results The developed platform demonstrated a linear calibration range of 300-20000 pg/ml for both Aβ1-42 and Aβ1-40 peptides, accompanied by strong correlation coefficients greater than 0.995. Quality Control (QC) samples demonstrated an accuracy of at least 90.0 %. Conclusion The enhanced specificity and flexibility of the developed platform potentially have implications for Alzheimer's disease diagnosis and future investigations of novel Aβ peptide biomarkers.
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Affiliation(s)
- Merve Oztug
- TUBITAK National Metrology Institute (TUBITAK UME), Kocaeli, Turkey
| | | | - Gonca Altin
- TUBITAK National Metrology Institute (TUBITAK UME), Kocaeli, Turkey
| | - Muslum Akgoz
- TUBITAK National Metrology Institute (TUBITAK UME), Kocaeli, Turkey
| | - Suleyman Z. Can
- TUBITAK National Metrology Institute (TUBITAK UME), Kocaeli, Turkey
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Schaier M, Hermann G, Koellensperger G, Theiner S. Accurate characterization of β-amyloid (Aβ40, Aβ42) standards using species-specific isotope dilution by means of HPLC-ICP-MS/MS. Anal Bioanal Chem 2022; 414:639-648. [PMID: 34355254 PMCID: PMC8748378 DOI: 10.1007/s00216-021-03571-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/09/2021] [Accepted: 07/20/2021] [Indexed: 11/10/2022]
Abstract
The amyloid β peptide, as one of the main components in senile plaque, represents a defining pathological feature for Alzheimer's disease, and is therefore commonly used as a biomarker for this disease in clinical analysis. However, the selection of suitable standards is limited here, since only a few are commercially available, and these suffer from varying purity. Hence, the accurate characterization of these standards is of great importance. In this study, we developed a method for the traceable quantification of the peptide content using species-specific isotope dilution and ICP-MS/MS detection. It is based on the separation of the sulfur-containing amino acids methionine and cysteine after oxidation and hydrolysis of the peptide. Using a strong anion exchange column, both amino acids could be separated from each other, as well as from their oxidized forms and sulfate. The sulfur content was determined via ICP-MS/MS using oxygen as reaction gas. Species-specific isotope dilution was enabled by using a 34S-labeled yeast hydrolysate, containing methionine sulfone and cysteic acid with different isotopic composition. The peptide contents of Aβ standards (Aβ40,42), as well as myoglobin and lysozyme with different degrees of purity, were determined. For validation purposes, the standard reference material NIST 2389a, which contains the amino acids in a similar concentration, was subjected to the developed sample preparation and analysis method. In addition to accounting for errors during sample preparation, high levels of accuracy and precision could be obtained using this method, making it fit-for-purpose for the characterization of peptide standards.
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Affiliation(s)
- Martin Schaier
- Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090, Vienna, Austria
| | - Gerrit Hermann
- Institute of Analytical Chemistry, Department of Chemistry, University of Natural Resources and Life Sciences, Muthgasse 18, 1190, Vienna, Austria
- ISOtopic solutions e.U., Waehringer Strasse 38, 1090, Vienna, Austria
| | - Gunda Koellensperger
- Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090, Vienna, Austria
| | - Sarah Theiner
- Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090, Vienna, Austria.
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Reijs BLR, Teunissen CE, Goncharenko N, Betsou F, Blennow K, Baldeiras I, Brosseron F, Cavedo E, Fladby T, Froelich L, Gabryelewicz T, Gurvit H, Kapaki E, Koson P, Kulic L, Lehmann S, Lewczuk P, Lleó A, Maetzler W, de Mendonça A, Miller AM, Molinuevo JL, Mollenhauer B, Parnetti L, Rot U, Schneider A, Simonsen AH, Tagliavini F, Tsolaki M, Verbeek MM, Verhey FRJ, Zboch M, Winblad B, Scheltens P, Zetterberg H, Visser PJ. The Central Biobank and Virtual Biobank of BIOMARKAPD: A Resource for Studies on Neurodegenerative Diseases. Front Neurol 2015; 6:216. [PMID: 26528237 PMCID: PMC4606063 DOI: 10.3389/fneur.2015.00216] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 09/22/2015] [Indexed: 11/28/2022] Open
Abstract
Biobanks are important resources for biomarker discovery and assay development. Biomarkers for Alzheimer’s and Parkinson’s disease (BIOMARKAPD) is a European multicenter study, funded by the EU Joint Programme-Neurodegenerative Disease Research, which aims to improve the clinical use of body fluid markers for the diagnosis and prognosis of Alzheimer’s disease (AD) and Parkinson’s disease (PD). The objective was to standardize the assessment of existing assays and to validate novel fluid biomarkers for AD and PD. To support the validation of novel biomarkers and assays, a central and a virtual biobank for body fluids and associated data from subjects with neurodegenerative diseases have been established. In the central biobank, cerebrospinal fluid (CSF) and blood samples were collected according to the BIOMARKAPD standardized pre-analytical procedures and stored at Integrated BioBank of Luxembourg. The virtual biobank provides an overview of available CSF, plasma, serum, and DNA samples at each site. Currently, at the central biobank of BIOMARKAPD samples are available from over 400 subjects with normal cognition, mild cognitive impairment (MCI), AD, frontotemporal dementia (FTD), vascular dementia, multiple system atrophy, progressive supranuclear palsy, PD, PD with dementia, and dementia with Lewy bodies. The virtual biobank contains information on over 8,600 subjects with varying diagnoses from 21 local biobanks. A website has been launched to enable sample requests from the central biobank and virtual biobank.
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Affiliation(s)
- Babette L R Reijs
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University Medical Center , Maastricht , Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, VU University Medical Center , Amsterdam , Netherlands
| | | | - Fay Betsou
- Integrated Biobank of Luxembourg , Luxembourg , Luxembourg
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Department of Neuroscience and Physiology, Sahlgrenska University Hospital, The Sahlgrenska Academy at University of Gothenburg , Mölndal , Sweden
| | - Inês Baldeiras
- Center for Neuroscience and Cell Biology, Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine, University of Coimbra , Coimbra , Portugal
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE) e.V. Clinical Neuroscience and Biomarkers , Bonn , Germany
| | - Enrica Cavedo
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Fatebenefratelli , Brescia , Italy
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital , Lørenskog , Norway ; Institute of Clinical Medicine, University of Oslo , Oslo , Norway
| | - Lutz Froelich
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg , Mannheim , Germany
| | - Tomasz Gabryelewicz
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Centre, Polish Academy of Sciences , Warsaw , Poland
| | - Hakan Gurvit
- Behavioural Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University , Istanbul , Turkey
| | - Elisabeth Kapaki
- Neurochemistry Unit, Division of Cognitive and Movement Disorders, 1st Department of Neurology, National and Kapodistrian University of Athens , Athens , Greece
| | - Peter Koson
- Department of Neurology, Slovak Medical University, University Hospital Bratislava , Bratislava , Slovakia ; Institute of Neuroimmunology, Slovak Academy of Sciences , Bratislava , Slovakia
| | - Luka Kulic
- Division of Psychiatry Research, University of Zurich , Schlieren , Switzerland
| | - Sylvain Lehmann
- Laboratoire de Biochimie Protéomique Clinique, INSERM U1183, Institut de Médecine Régénérative et Biothérapies, CHRU de Montpellier, Université de Montpellier , Montpellier , France
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg , Erlangen , Germany ; Department of Neurodegeneration Diagnostics, Medical University of Bialystok , Bialystok , Poland
| | - Alberto Lleó
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau , Barcelona , Spain ; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED) , Madrid , Spain
| | - Walter Maetzler
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research, University of Tübingen , Tübingen , Germany ; German Center for Neurodegenerative Diseases (DZNE), University of Tübingen , Tübingen , Germany
| | | | - Anne-Marie Miller
- Medical Gerontology, School of Medicine, Trinity College Dublin , Dublin , Ireland
| | - José L Molinuevo
- ICN Hospital Clinic i Universitari, Institut d'Investigacions Biomèdiques August Pi i Sunyer , Barcelona , Spain
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik , Kassel , Germany ; Department of Neurosurgery and Institute of Neuropathology, University Medical Center Göttingen , Göttingen , Germany
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia , Perugia , Italy
| | - Uros Rot
- Laboratory for CSF Diagnostics, Department of Neurology, University Medical Centre , Ljubljana , Slovenia
| | - Anja Schneider
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen and Translational Dementia Research Group, German Center for Neurodegenerative Diseases (DZNE) , Göttingen , Germany
| | - Anja Hviid Simonsen
- Danish Dementia Research Centre, Rigshospitalet, Copenhagen University Hospital , Copenhagen , Denmark
| | - Fabrizio Tagliavini
- Unit of Neuropathology, Department of Diagnostics and Technology, IRCCS Foundation "Carlo Besta" Neurological Institute , Milan , Italy
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - Marcel M Verbeek
- Department of Neurology, Radboud Alzheimer Centre, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre , Nijmegen , Netherlands ; Department of Laboratory Medicine, Radboud Alzheimer Centre, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre , Nijmegen , Netherlands
| | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University Medical Center , Maastricht , Netherlands
| | - Marzena Zboch
- Research-Scientific-Didactic Centre of Dementia-Related Diseases, Wrocław Medical University , Scinawa , Poland
| | - Bengt Winblad
- Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet , Huddinge , Sweden
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center, VU University Medical Center , Amsterdam , Netherlands
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg , Mölndal , Sweden ; UCL Institute of Neurology , London , UK
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University Medical Center , Maastricht , Netherlands ; Department of Neurology, Alzheimer Center, VU University Medical Center , Amsterdam , Netherlands
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