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Pils M, Dybala A, Rehn F, Blömeke L, Bujnicki T, Kraemer-Schulien V, Hoyer W, Riesner D, Willbold D, Bannach O. Development and Implementation of an Internal Quality Control Sample to Standardize Oligomer-Based Diagnostics of Alzheimer's Disease. Diagnostics (Basel) 2023; 13:diagnostics13101702. [PMID: 37238187 DOI: 10.3390/diagnostics13101702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/05/2023] [Accepted: 05/07/2023] [Indexed: 05/28/2023] Open
Abstract
Protein misfolding and aggregation are pathological hallmarks of various neurodegenerative diseases. In Alzheimer's disease (AD), soluble and toxic amyloid-β (Aβ) oligomers are biomarker candidates for diagnostics and drug development. However, accurate quantification of Aβ oligomers in bodily fluids is challenging because extreme sensitivity and specificity are required. We previously introduced surface-based fluorescence intensity distribution analysis (sFIDA) with single-particle sensitivity. In this report, a preparation protocol for a synthetic Aβ oligomer sample was developed. This sample was used for internal quality control (IQC) to improve standardization, quality assurance, and routine application of oligomer-based diagnostic methods. We established an aggregation protocol for Aβ1-42, characterized the oligomers by atomic force microscopy (AFM), and assessed their application in sFIDA. Globular-shaped oligomers with a median size of 2.67 nm were detected by AFM, and sFIDA analysis of the Aβ1-42 oligomers yielded a femtomolar detection limit with high assay selectivity and dilution linearity over 5 log units. Lastly, we implemented a Shewhart chart for monitoring IQC performance over time, which is another important step toward quality assurance of oligomer-based diagnostic methods.
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Affiliation(s)
- Marlene Pils
- attyloid GmbH, Merowingerplatz 1a, 40225 Düsseldorf, Germany
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428 Jülich, Germany
| | - Alexandra Dybala
- attyloid GmbH, Merowingerplatz 1a, 40225 Düsseldorf, Germany
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
| | - Fabian Rehn
- attyloid GmbH, Merowingerplatz 1a, 40225 Düsseldorf, Germany
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428 Jülich, Germany
| | - Lara Blömeke
- attyloid GmbH, Merowingerplatz 1a, 40225 Düsseldorf, Germany
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428 Jülich, Germany
| | - Tuyen Bujnicki
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428 Jülich, Germany
| | - Victoria Kraemer-Schulien
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428 Jülich, Germany
| | - Wolfgang Hoyer
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428 Jülich, Germany
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
| | - Detlev Riesner
- attyloid GmbH, Merowingerplatz 1a, 40225 Düsseldorf, Germany
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
| | - Dieter Willbold
- attyloid GmbH, Merowingerplatz 1a, 40225 Düsseldorf, Germany
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428 Jülich, Germany
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
| | - Oliver Bannach
- attyloid GmbH, Merowingerplatz 1a, 40225 Düsseldorf, Germany
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428 Jülich, Germany
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Piccarducci R, Caselli MC, Zappelli E, Ulivi L, Daniele S, Siciliano G, Ceravolo R, Mancuso M, Baldacci F, Martini C. The Role of Amyloid-β, Tau, and α-Synuclein Proteins as Putative Blood Biomarkers in Patients with Cerebral Amyloid Angiopathy. J Alzheimers Dis 2022; 89:1039-1049. [PMID: 35964181 DOI: 10.3233/jad-220216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cerebral amyloid angiopathy (CAA) is a cerebrovascular disorder characterized by the deposition of amyloid-β protein (Aβ) within brain blood vessels that develops in elderly people and Alzheimer's disease (AD) patients. Therefore, the investigation of biomarkers able to differentiate CAA patients from AD patients and healthy controls (HC) is of great interest, in particular in peripheral fluids. OBJECTIVE The current study aimed to detect the neurodegenerative disease (ND)-related protein (i.e., Aβ 1 - 40, Aβ 1 - 42, tau, and α-synuclein) levels in both red blood cells (RBCs) and plasma of CAA patients and HC, evaluating their role as putative peripheral biomarkers for CAA. METHODS For this purpose, the proteins' concentration was quantified in RBCs and plasma by homemade immunoenzymatic assays in an exploratory cohort of 20 CAA patients and 20 HC. RESULTS The results highlighted a significant increase of Aβ 1 - 40 and α-synuclein concentrations in both RBCs and plasma of CAA patients, while higher Aβ 1 - 42 and t-tau levels were detected only in RBCs of CAA individuals compared to HC. Moreover, Aβ 1 - 42/Aβ 1 - 40 ratio increased in RBCs and decreased in plasma of CAA patients. The role of these proteins as candidate peripheral biomarkers easily measurable with a blood sample in CAA needs to be confirmed in larger studies. CONCLUSION In conclusion, we provide evidence concerning the possible use of blood biomarkers for contributing to CAA diagnosis and differentiation from other NDs.
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Affiliation(s)
| | - Maria Chiara Caselli
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Leonardo Ulivi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Michelangelo Mancuso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Filippo Baldacci
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Blömeke L, Pils M, Kraemer-Schulien V, Dybala A, Schaffrath A, Kulawik A, Rehn F, Cousin A, Nischwitz V, Willbold J, Zack R, Tropea TF, Bujnicki T, Tamgüney G, Weintraub D, Irwin D, Grossman M, Wolk DA, Trojanowski JQ, Bannach O, Chen-Plotkin A, Willbold D. Quantitative detection of α-Synuclein and Tau oligomers and other aggregates by digital single particle counting. NPJ Parkinsons Dis 2022; 8:68. [PMID: 35655068 PMCID: PMC9163356 DOI: 10.1038/s41531-022-00330-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 05/10/2022] [Indexed: 12/13/2022] Open
Abstract
The pathological hallmark of neurodegenerative diseases is the formation of toxic oligomers by proteins such as alpha-synuclein (aSyn) or microtubule-associated protein tau (Tau). Consequently, such oligomers are promising biomarker candidates for diagnostics as well as drug development. However, measuring oligomers and other aggregates in human biofluids is still challenging as extreme sensitivity and specificity are required. We previously developed surface-based fluorescence intensity distribution analysis (sFIDA) featuring single-particle sensitivity and absolute specificity for aggregates. In this work, we measured aSyn and Tau aggregate concentrations of 237 cerebrospinal fluid (CSF) samples from five cohorts: Parkinson's disease (PD), dementia with Lewy bodies (DLB), Alzheimer's disease (AD), progressive supranuclear palsy (PSP), and a neurologically-normal control group. aSyn aggregate concentration discriminates PD and DLB patients from normal controls (sensitivity 73%, specificity 65%, area under the receiver operating curve (AUC) 0.68). Tau aggregates were significantly elevated in PSP patients compared to all other groups (sensitivity 87%, specificity 70%, AUC 0.76). Further, we found a tight correlation between aSyn and Tau aggregate titers among all patient cohorts (Pearson coefficient of correlation r = 0.81). Our results demonstrate that aSyn and Tau aggregate concentrations measured by sFIDA differentiate neurodegenerative disease diagnostic groups. Moreover, sFIDA-based Tau aggregate measurements might be particularly useful in distinguishing PSP from other parkinsonisms. Finally, our findings suggest that sFIDA can improve pre-clinical and clinical studies by identifying those individuals that will most likely respond to compounds designed to eliminate specific oligomers or to prevent their formation.
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Affiliation(s)
- Lara Blömeke
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
- attyloid GmbH, 40225, Düsseldorf, Germany
| | - Marlene Pils
- attyloid GmbH, 40225, Düsseldorf, Germany
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Victoria Kraemer-Schulien
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Alexandra Dybala
- attyloid GmbH, 40225, Düsseldorf, Germany
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Anja Schaffrath
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Andreas Kulawik
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
- attyloid GmbH, 40225, Düsseldorf, Germany
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Fabian Rehn
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Anneliese Cousin
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Volker Nischwitz
- Central Institute for Engineering, Electronics and Analytics, Analytics (ZEA-3), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Johannes Willbold
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Rebecca Zack
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas F Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tuyen Bujnicki
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
| | - Gültekin Tamgüney
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Daniel Weintraub
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Parkinson's Disease and Mental Illness Research, Education, and Clinical Centers, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - David Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Oliver Bannach
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany
- attyloid GmbH, 40225, Düsseldorf, Germany
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany
| | - Alice Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dieter Willbold
- Institute of Biological Information Processing (Structural Biochemistry: IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany.
- Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, 40225, Düsseldorf, Germany.
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Forgrave LM, van der Gugten JG, Nguyen Q, DeMarco ML. Establishing pre-analytical requirements and maximizing peptide recovery in the analytical phase for mass spectrometric quantification of amyloid-β peptides 1-42 and 1-40 in CSF. Clin Chem Lab Med 2021; 60:198-206. [PMID: 34881836 DOI: 10.1515/cclm-2021-0549] [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] [Received: 05/07/2021] [Accepted: 11/16/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Amyloid-β (Aβ) peptides in cerebrospinal fluid (CSF), including Aβ42 (residues 1-42) and Aβ40 (residues 1-40), are utilized as biomarkers in the diagnostic workup of Alzheimer's disease. Careful consideration has been given to the pre-analytical and analytical factors associated with measurement of these peptides via immunoassays; however, far less information is available for mass spectrometric methods. As such, we performed a comprehensive evaluation of pre-analytical and analytical factors specific to Aβ quantification using mass spectrometry. METHODS Using our quantitative mass spectrometry assay for Aβ42 and Aβ40 in CSF, we investigated the potential for interference from hemolysate, bilirubin, lipids, and anti-Aβ-antibodies. We also optimized the composition of the calibrator surrogate matrix and Aβ recovery during and after solid phase extraction (SPE). RESULTS There was no interreference observed with total protein up to 12 g/L, hemolysate up to 10% (v/v), bilirubin up to 0.5% (v/v), intralipid up to 1% (v/v), or anti-Aβ-antibodies at expected therapeutic concentrations. For hemolysate, bilirubin and lipids, visual CSF contamination thresholds were established. In the analytical phase, Aβ recovery was increased by ∼50% via SPE solvent modifications and by over 150% via modification of the SPE collection plate, which also extended analyte stability in the autosampler. CONCLUSIONS Attention to mass spectrometric-specific pre-analytical and analytical considerations improved analytical sensitivity and reproducibility, as well as, established CSF specimen acceptance and rejection criteria for use by the clinical laboratory.
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Affiliation(s)
- Lauren M Forgrave
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - J Grace van der Gugten
- Department of Pathology and Laboratory Medicine, St. Paul's Hospital, Providence Health Care, Vancouver, Canada
| | - Quyen Nguyen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Mari L DeMarco
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.,Department of Pathology and Laboratory Medicine, St. Paul's Hospital, Providence Health Care, Vancouver, Canada
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5
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Veerabhadrappa B, Delaby C, Hirtz C, Vialaret J, Alcolea D, Lleó A, Fortea J, Santosh MS, Choubey S, Lehmann S. Detection of amyloid beta peptides in body fluids for the diagnosis of alzheimer's disease: Where do we stand? Crit Rev Clin Lab Sci 2019; 57:99-113. [PMID: 31661652 DOI: 10.1080/10408363.2019.1678011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Alzheimer's disease (AD) is an incurable neurodegenerative disease characterized by progressive decline of cognitive abilities. Amyloid beta peptides (Aβ), Tau proteins and the phosphorylated form of the Tau protein, p-Tau, are the core pathological biomarkers of the disease, and their detection for the diagnosis of patients is progressively being implemented. However, to date, their quantification is mostly performed on cerebrospinal fluid (CSF), the collection of which requires an invasive lumbar puncture. Early diagnosis has been shown to be important for disease-modifying treatment, which is currently in development, to limit the progression of the disease. Nevertheless, the diagnosis is often delayed to the point where the disease has already progressed, and the tools currently available do not allow for a systematic follow-up of patients. Thus, the search for a molecular signature of AD in a body fluid such as blood or saliva that can be collected in a minimally invasive way offers hope. A number of methods have been developed for the quantification of core biomarkers, especially in easily accessible fluids such as the blood, that improve their accuracy, specificity and sensitivity. This review summarizes and compares these approaches, focusing in particular on their use for Aβ detection, the earliest biomarker to be modified in the course of AD. The review also discusses biomarker quantification in CSF, blood and saliva and their clinical applications.
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Affiliation(s)
- Bhavana Veerabhadrappa
- Center for Incubation Innovation Research and Consultancy (CIIRC), Jyothy Institute of Technology, Bengaluru, India
| | - Constance Delaby
- INSERM U1183, Laboratoire de Biochimie-Protéomique Clinique, CHU de Montpellier, Université de Montpellier, Montpellier, France.,Sant Pau Memory Unit, Department of Neurology, Institut D'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Christophe Hirtz
- INSERM U1183, Laboratoire de Biochimie-Protéomique Clinique, CHU de Montpellier, Université de Montpellier, Montpellier, France
| | - Jérôme Vialaret
- INSERM U1183, Laboratoire de Biochimie-Protéomique Clinique, CHU de Montpellier, Université de Montpellier, Montpellier, France
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Institut D'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Institut D'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Institut D'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mysore Sridhar Santosh
- Center for Incubation Innovation Research and Consultancy (CIIRC), Jyothy Institute of Technology, Bengaluru, India
| | | | - Sylvain Lehmann
- INSERM U1183, Laboratoire de Biochimie-Protéomique Clinique, CHU de Montpellier, Université de Montpellier, Montpellier, France
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6
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Lisi S, Fiore E, Scarano S, Pascale E, Boehman Y, Ducongé F, Chierici S, Minunni M, Peyrin E, Ravelet C. Non-SELEX isolation of DNA aptamers for the homogeneous-phase fluorescence anisotropy sensing of tau Proteins. Anal Chim Acta 2018; 1038:173-181. [DOI: 10.1016/j.aca.2018.07.029] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Revised: 07/09/2018] [Accepted: 07/13/2018] [Indexed: 02/07/2023]
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7
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Berger M, Nadler JW, Friedman A, McDonagh DL, Bennett ER, Cooter M, Qi W, Laskowitz DT, Ponnusamy V, Newman MF, Shaw LM, Warner DS, Mathew JP, James ML. The Effect of Propofol Versus Isoflurane Anesthesia on Human Cerebrospinal Fluid Markers of Alzheimer's Disease: Results of a Randomized Trial. J Alzheimers Dis 2017; 52:1299-310. [PMID: 27079717 DOI: 10.3233/jad-151190] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Preclinical studies have found differential effects of isoflurane and propofol on the Alzheimer's disease (AD)-associated markers tau, phosphorylated tau (p-tau) and amyloid-β (Aβ). OBJECTIVE We asked whether isoflurane and propofol have differential effects on the tau/Aβ ratio (the primary outcome), and individual AD biomarkers. We also examined whether genetic/intraoperative factors influenced perioperative changes in AD biomarkers. METHODS Patients undergoing neurosurgical/otolaryngology procedures requiring lumbar cerebrospinal fluid (CSF) drain placement were prospectively randomized to receive isoflurane (n = 21) or propofol (n = 18) for anesthetic maintenance. We measured perioperative CSF sample AD markers, performed genotyping assays, and examined intraoperative data from the electronic anesthesia record. A repeated measures ANOVA was used to examine changes in AD markers by anesthetic type over time. RESULTS The CSF tau/Aβ ratio did not differ between isoflurane- versus propofol-treated patients (p = 1.000). CSF tau/Aβ ratio and tau levels increased 10 and 24 h after drain placement (p = 2.002×10-6 and p = 1.985×10-6, respectively), mean CSF p-tau levels decreased (p = 0.005), and Aβ levels did not change (p = 0.152). There was no interaction between anesthetic treatment and time for any of these biomarkers. None of the examined genetic polymorphisms, including ApoE4, were associated with tau increase (n = 9 polymorphisms, p > 0.05 for all associations). CONCLUSION Neurosurgery/otolaryngology procedures are associated with an increase in the CSF tau/Aβ ratio, and this increase was not influenced by anesthetic type. The increased CSF tau/Aβ ratio was largely driven by increases in tau levels. Future work should determine the functional/prognostic significance of these perioperative CSF tau elevations.
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Affiliation(s)
- Miles Berger
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Jacob W Nadler
- Division Chief, Neurosurgical Anesthesiology Medical Director, Postanesthesia Care Unit; Department of Anesthesiology, University of Rochester, Rochester, NY, USA
| | - Allan Friedman
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - David L McDonagh
- Department of Anesthesiology & Pain Management, Neurological Surgery, Neurology and Neurotherapeutics, University of Texas, Southwestern, Dallas, TX, USA
| | - Ellen R Bennett
- Department of Neurology, Duke University Medical Center, Durham, NC, USA
| | - Mary Cooter
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Wenjing Qi
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA
| | - Daniel T Laskowitz
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA.,Department of Neurology, Duke University Medical Center, Durham, NC, USA.,Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | | | - Mark F Newman
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA.,Private Diagnostic Clinic, Duke University Medical Center, Durham, NC, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David S Warner
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA.,Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA.,Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | - Joseph P Mathew
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Michael L James
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA.,Department of Neurology, Duke University Medical Center, Durham, NC, USA
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Abstract
The utility of the levels of amyloid beta (Aβ) peptide and tau in blood for diagnosis, drug development, and assessment of clinical trials for Alzheimer's disease (AD) has not been established. The lack of availability of ultra-sensitive assays is one critical issue that has impeded progress. The levels of Aβ species and tau in plasma and serum are much lower than levels in cerebrospinal fluid. Furthermore, plasma or serum contain high levels of assay-interfering factors, resulting in difficulties in the commonly used singulex or multiplex ELISA platforms. In this review, we focus on two modern immune-complex-based technologies that show promise to advance this field. These innovative technologies are immunomagnetic reduction technology and single molecule array technology. We describe the technologies and discuss the published studies using these technologies. Currently, the potential of utilizing these technologies to advance Aβ and tau as blood-based biomarkers for AD requires further validation using already collected large sets of samples, as well as new cohorts and population-based longitudinal studies.
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9
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Li H, Wang F, Ge S, Liu H, Yan M, Yu J. Turning Nonspecific Interference into Signal Amplification: Covalent Biosensing Nanoassembly Enabled by Metal-Catalyzed Cross-Coupling. Anal Chem 2017; 89:6834-6839. [DOI: 10.1021/acs.analchem.7b01269] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Hao Li
- Institute for Advanced
Interdisciplinary Research, University of Jinan, Jinan 250022, China
| | - Fang Wang
- Shandong Academy of Pharmaceutical Sciences, Jinan 250101, China
| | - Shenguang Ge
- Institute for Advanced
Interdisciplinary Research, University of Jinan, Jinan 250022, China
| | - Haiyun Liu
- Institute for Advanced
Interdisciplinary Research, University of Jinan, Jinan 250022, China
| | - Mei Yan
- Institute for Advanced
Interdisciplinary Research, University of Jinan, Jinan 250022, China
| | - Jinghua Yu
- Institute for Advanced
Interdisciplinary Research, University of Jinan, Jinan 250022, China
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10
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Kim DH, Cho IH, Park JN, Paek SH, Cho HM, Paek SH. Semi-continuous, real-time monitoring of protein biomarker using a recyclable surface plasmon resonance sensor. Biosens Bioelectron 2016; 88:232-239. [PMID: 27545847 DOI: 10.1016/j.bios.2016.08.035] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 08/04/2016] [Accepted: 08/12/2016] [Indexed: 11/16/2022]
Abstract
Although label-free immunosensors based on, for example, surface plasmon resonance (SPR) provide advantages of real-time monitoring of the analyte concentration, its application to routine clinical analysis in a semi-continuous manner is problematic because of the high cost of the sensor chip. The sensor chip is in most cases regenerated by employing an acidic pH. However, this causes gradual deterioration of the activity of the capture antibody immobilized on the sensor surface. To use sensor chips repeatedly, we investigated a novel surface modification method that enables regeneration of the sensor surface under mild conditions. We introduced a monoclonal antibody (anti-CBP Ab) that detects the conformational change in calcium binding protein (CBP) upon Ca2+ binding (>1mM). To construct a regenerable SPR-based immunosensor, anti-CBP Ab was first immobilized on the sensor surface, and CBP conjugated to the capture antibody (specific for creatine kinase-MB isoform (CK-MB); CBP-CAb) then bound in the presence of Ca2+. A serum sample was mixed with the detection antibody to CK-MB, which generated an SPR signal proportional to the analyte concentration. After each analysis, the sensor surface was regenerated using medium (pH 7) without Ca2+, and then adding fresh CBP-CAb in the presence of Ca2+ for the subsequent analysis. Analysis of multiple samples using the same sensor was reproducible at a rate >98.7%. The dose-response curve was linear for 1.75-500.75ng/mL CK-MB, with an acceptable coefficient of variation of <8.8%. The performance of the immunosensor showed a strong correlation with that of the Pathfast reference system (R2>96%), and exhibited analytical stability for 1 month. To our knowledge, this is the first report of a renewal of a sensor surface with fresh antibody after each analysis, providing high consistency in the assay during a long-term use (e.g., a month at least).
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Affiliation(s)
- Dong-Hyung Kim
- Department of Bio-Microsystem Technology, Korea University, 145 Anam-ro, Seongbuk-Gu, Seoul 02841, Republic of Korea
| | - Il-Hoon Cho
- Department of Biomedical Laboratory Science, College of Health Science, Eulji University, Seongnam 13135, Republic of Korea
| | - Ji-Na Park
- Department of Bio-Microsystem Technology, Korea University, 145 Anam-ro, Seongbuk-Gu, Seoul 02841, Republic of Korea
| | - Sung-Ho Paek
- Department of Bio-Microsystem Technology, Korea University, 145 Anam-ro, Seongbuk-Gu, Seoul 02841, Republic of Korea
| | - Hyun-Mo Cho
- Korea Research Institute of Standards and Science, P.O. Box 102, Yuseong, Taejon 34113, Republic of Korea
| | - Se-Hwan Paek
- Department of Bio-Microsystem Technology, Korea University, 145 Anam-ro, Seongbuk-Gu, Seoul 02841, Republic of Korea; Department of Biotechnology, Korea University, 2511 Sejong-ro, Sejong 30019, Republic of Korea.
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11
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Kim HJ, Park KW, Kim TE, Im JY, Shin HS, Kim S, Lee DH, Ye BS, Kim JH, Kim EJ, Park KH, Han HJ, Jeong JH, Choi SH, Park SA. Elevation of the Plasma Aβ40/Aβ42 Ratio as a Diagnostic Marker of Sporadic Early-Onset Alzheimer's Disease. J Alzheimers Dis 2016; 48:1043-50. [PMID: 26444752 DOI: 10.3233/jad-143018] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Although plasma amyloid-β (Aβ) levels have been evaluated as a possible diagnostic marker of Alzheimer's disease (AD), the findings are inconsistent. OBJECTIVE The present study aimed to validate plasma levels of Aβ40, Aβ42, and the Aβ40/Aβ42 ratio as biomarkers of AD in subjects with early-onset AD (EOAD) without familial AD genetic mutations. METHODS Patients with sporadic EOAD (sEOAD) were prospectively recruited by nine neurology clinics. Plasma levels of Aβ40 and Aβ42 were measured using a sandwich enzyme-linked immunosorbent assay (ELISA) in 100 sEOAD (50-69 year-old) and 46 age-matched normal control subjects (50-72 year-old). Cerebrospinal fluid (CSF) was obtained from 32 sEOAD subjects and 25 controls. The integrity of the blood-brain barrier was assessed using the CSF/plasma albumin ratio. RESULTS The plasma levels of Aβ42 were significantly lower, while the Aβ40/Aβ42 ratio was significantly higher in sEOAD patients than in controls. The levels of Aβ40, Aβ42, and the Aβ40/Aβ42 ratio did not differ in relation to the APOEɛ4 allele. The CSF/plasma albumin ratio was comparable between the two groups, and the plasma parameters of Aβ proteins were not significantly associated. A multivariate analysis revealed that an increased Aβ40/Aβ42 ratio is valuable for the discrimination of sEOAD from controls (β=0.344, p=0.000). The area under the ROC curve for the Aβ40/Aβ42 ratio was 0.76, and a cut-off ratio of 5.87 was suggested to have 70% sensitivity and 68% specificity. CONCLUSION The plasma Aβ40/Aβ42 ratio had moderate validity for the discrimination of sEOAD patients from age-matched controls.
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Affiliation(s)
- Hyeong Jun Kim
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Kyung Won Park
- Department of Neurology, Dong-A University College of Medicine, Dong-A University Hospital, Busan, Korea
| | - Tae Eun Kim
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Ji Young Im
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Ho Sik Shin
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Saeromi Kim
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Dong Hyun Lee
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Byoung Seok Ye
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Hun Kim
- Department of Neurology, Ilsan Hospital, National Health Insurance Corporation, Goyang, Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Busan, Korea
| | - Kee Hyung Park
- Department of Neurology, Gachon University, College of Medicine, Incheon, Korea
| | - Hyun Jeong Han
- Department of Neurology, Myongii Hospital, Seonam University College of Medicine, Goyang, Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, Korea
| | - Sun Ah Park
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
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12
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Dubois B, Hampel H, Feldman HH, Scheltens P, Aisen P, Andrieu S, Bakardjian H, Benali H, Bertram L, Blennow K, Broich K, Cavedo E, Crutch S, Dartigues JF, Duyckaerts C, Epelbaum S, Frisoni GB, Gauthier S, Genthon R, Gouw AA, Habert MO, Holtzman DM, Kivipelto M, Lista S, Molinuevo JL, O'Bryant SE, Rabinovici GD, Rowe C, Salloway S, Schneider LS, Sperling R, Teichmann M, Carrillo MC, Cummings J, Jack CR. Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria. Alzheimers Dement 2016; 12:292-323. [PMID: 27012484 PMCID: PMC6417794 DOI: 10.1016/j.jalz.2016.02.002] [Citation(s) in RCA: 1168] [Impact Index Per Article: 146.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
During the past decade, a conceptual shift occurred in the field of Alzheimer's disease (AD) considering the disease as a continuum. Thanks to evolving biomarker research and substantial discoveries, it is now possible to identify the disease even at the preclinical stage before the occurrence of the first clinical symptoms. This preclinical stage of AD has become a major research focus as the field postulates that early intervention may offer the best chance of therapeutic success. To date, very little evidence is established on this "silent" stage of the disease. A clarification is needed about the definitions and lexicon, the limits, the natural history, the markers of progression, and the ethical consequence of detecting the disease at this asymptomatic stage. This article is aimed at addressing all the different issues by providing for each of them an updated review of the literature and evidence, with practical recommendations.
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Affiliation(s)
- Bruno Dubois
- Institute of Memory and Alzheimer's Disease (IM2A) and Brain and Spine Institute (ICM) UMR S 1127 Frontlab, Department of Neurology, AP_HP, Pitié-Salpêtrière University Hospital, Sorbonne Universities, Pierre et Marie Curie University, Paris 06, Paris, France.
| | - Harald Hampel
- Institute of Memory and Alzheimer's Disease (IM2A) and Brain and Spine Institute (ICM) UMR S 1127 Frontlab, Department of Neurology, AP_HP, Pitié-Salpêtrière University Hospital, Sorbonne Universities, Pierre et Marie Curie University, Paris 06, Paris, France; AXA Research Fund & UPMC Chair, Paris, France
| | | | - Philip Scheltens
- Department of Neurology and Alzheimer Center, VU University Medical Center and Neuroscience Campus, Amsterdam, The Netherlands
| | - Paul Aisen
- University of Southern California San Diego, CA, USA
| | - Sandrine Andrieu
- UMR1027, INSERM, Université Toulouse III, Toulouse University Hospital, France
| | - Hovagim Bakardjian
- IHU-A-ICM-Institut des Neurosciences translationnelles de Paris, Paris, France
| | - Habib Benali
- INSERM U1146-CNRS UMR 7371-UPMC UM CR2, Site Pitié-Salpêtrière, Paris, France
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany; School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Lab, Department of Neuroscience and Physiology, University of Gothenburg, Mölndal Hospital, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Karl Broich
- Federal Institute for Drugs and Medical Devices, Bonn, Germany
| | - Enrica Cavedo
- AXA Research Fund & UPMC Chair, Paris, France; Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Sebastian Crutch
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | | | - Charles Duyckaerts
- University Pierre et Marie Curie, Assistance Publique des Hôpitaux de Paris, Alzheimer-Prion Team Institut du Cerveau et de la Moelle (ICM), Paris, France
| | - Stéphane Epelbaum
- Institute of Memory and Alzheimer's Disease (IM2A) and Brain and Spine Institute (ICM) UMR S 1127 Frontlab, Department of Neurology, AP_HP, Pitié-Salpêtrière University Hospital, Sorbonne Universities, Pierre et Marie Curie University, Paris 06, Paris, France
| | - Giovanni B Frisoni
- University Hospitals and University of Geneva, Geneva, Switzerland; IRCCS Fatebenefratelli, Brescia, Italy
| | - Serge Gauthier
- McGill Center for Studies in Aging, Douglas Mental Health Research Institute, Montreal, Canada
| | - Remy Genthon
- Fondation pour la Recherche sur Alzheimer, Hôpital Pitié-Salpêtrière, Paris, France
| | - Alida A Gouw
- UMR1027, INSERM, Université Toulouse III, Toulouse University Hospital, France; Department of Clinical Neurophysiology/MEG Center, VU University Medical Center, Amsterdam
| | - Marie-Odile Habert
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Département de Médecine Nucléaire, Paris, France
| | - David M Holtzman
- Department of Neurology, Washington University, Hope Center for Neurological Disorders, St. Louis, MO, USA; Department of Neurology, Washington University, Knight Alzheimer's Disease Research Center, St. Louis, MO, USA
| | - Miia Kivipelto
- Center for Alzheimer Research, Karolinska Institutet, Department of Geriatric Medicine, Karolinska University Hospital, Stockholm, Sweden; Institute of Clinical Medicine/ Neurology, University of Eastern Finland, Kuopio, Finland
| | | | - José-Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Sid E O'Bryant
- Center for Alzheimer's & Neurodegenerative Disease Research, University of North Texas Health Science Center, TX, USA
| | - Gil D Rabinovici
- Memory & Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Christopher Rowe
- Department of Molecular Imaging, Austin Health, University of Melbourne, Australia
| | - Stephen Salloway
- Memory and Aging Program, Butler Hospital, Alpert Medical School of Brown University, USA; Department of Neurology, Alpert Medical School of Brown University, USA; Department of Psychiatry, Alpert Medical School of Brown University, USA
| | - Lon S Schneider
- Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Reisa Sperling
- Harvard Medical School, Memory Disorders Unit, Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, USA; Harvard Medical School, Memory Disorders Unit, Center for Alzheimer Research and Treatment, Massachusetts General Hospital, Boston, USA
| | - Marc Teichmann
- Institute of Memory and Alzheimer's Disease (IM2A) and Brain and Spine Institute (ICM) UMR S 1127 Frontlab, Department of Neurology, AP_HP, Pitié-Salpêtrière University Hospital, Sorbonne Universities, Pierre et Marie Curie University, Paris 06, Paris, France
| | - Maria C Carrillo
- The Alzheimer's Association Division of Medical & Scientific Relations, Chicago, USA
| | - Jeffrey Cummings
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Cliff R Jack
- Department of Radiology, Mayo Clinic, Rochester MN, USA
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13
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Improvement for identification of heterophile antibody interference and AFP hook effect in immunoassays with multiplex suspension bead array system. Clin Chim Acta 2013; 426:68-74. [DOI: 10.1016/j.cca.2013.09.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2013] [Revised: 09/05/2013] [Accepted: 09/05/2013] [Indexed: 11/20/2022]
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