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Farvadi F, Hashemi F, Amini A, Alsadat Vakilinezhad M, Raee MJ. Early Diagnosis of Alzheimer's Disease with Blood Test; Tempting but Challenging. INTERNATIONAL JOURNAL OF MOLECULAR AND CELLULAR MEDICINE 2023; 12:172-210. [PMID: 38313372 PMCID: PMC10837916 DOI: 10.22088/ijmcm.bums.12.2.172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 11/25/2023] [Accepted: 12/13/2023] [Indexed: 02/06/2024]
Abstract
The increasing prevalence of Alzheimer's disease (AD) has led to a health crisis. According to official statistics, more than 55 million people globally have AD or other types of dementia, making it the sixth leading cause of death. It is still difficult to diagnose AD and there is no definitive diagnosis yet; post-mortem autopsy is still the only definite method. Moreover, clinical manifestations occur very late in the course of disease progression; therefore, profound irreversible changes have already occurred when the disease manifests. Studies have shown that in the preclinical stage of AD, changes in some biomarkers are measurable prior to any neurological damage or other symptoms. Hence, creating a reliable, fast, and affordable method capable of detecting AD in early stage has attracted the most attention. Seeking clinically applicable, inexpensive, less invasive, and much more easily accessible biomarkers for early diagnosis of AD, blood-based biomarkers (BBBs) seem to be an ideal option. This review is an inclusive report of BBBs that have been shown to be altered in the course of AD progression. The aim of this report is to provide comprehensive insight into the research status of early detection of AD based on BBBs.
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Affiliation(s)
- Fakhrossadat Farvadi
- Center for Nanotechnology in Drug Delivery, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Fatemeh Hashemi
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, the University of Newcastle, Newcastle, Australia
| | - Azadeh Amini
- Department of Pharmaceutical Biomaterials and Medical Biomaterials Research Center, Faculty of Pharmacy, Tehran University of Medical sciences, Tehran, Iran
| | | | - Mohammad Javad Raee
- Center for Nanotechnology in Drug Delivery, Shiraz University of Medical Sciences, Shiraz, Iran
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Nguyen TT, Ta QTH, Nguyen TKO, Nguyen TTD, Vo VG. Role of Body-Fluid Biomarkers in Alzheimer's Disease Diagnosis. Diagnostics (Basel) 2020; 10:diagnostics10050326. [PMID: 32443860 PMCID: PMC7277970 DOI: 10.3390/diagnostics10050326] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/02/2020] [Accepted: 05/19/2020] [Indexed: 02/07/2023] Open
Abstract
Alzheimer’s disease (AD) is a complex neurodegenerative disease that requires extremely specific biomarkers for its diagnosis. For current diagnostics capable of identifying AD, the development and validation of early stage biomarkers is a top research priority. Body-fluid biomarkers might closely reflect synaptic dysfunction in the brain and, thereby, could contribute to improving diagnostic accuracy and monitoring disease progression, and serve as markers for assessing the response to disease-modifying therapies at early onset. Here, we highlight current advances in the research on the capabilities of body-fluid biomarkers and their role in AD pathology. Then, we describe and discuss current applications of the potential biomarkers in clinical diagnostics in AD.
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Affiliation(s)
- Thuy Trang Nguyen
- Faculty of Pharmacy, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City 700000, Vietnam;
| | - Qui Thanh Hoai Ta
- Institute of Research and Development, Duy Tan University, Danang 550000, Vietnam;
| | - Thi Kim Oanh Nguyen
- Faculty of Food Science and Technology, Ho Chi Minh City University of Food Industry, Ho Chi Minh City 700000, Vietnam;
| | - Thi Thuy Dung Nguyen
- Faculty of Environmental and Food Engineering, Nguyen Tat Thanh University, Ho Chi Minh City 70000, Vietnam
- Correspondence: (T.T.D.N.); (V.G.V.)
| | - Van Giau Vo
- Department of Industrial and Environmental Engineering, Graduate School of Environment, Gachon University, 1342 Sungnam-daero, Sujung-gu, Seongnam-si, Gyeonggi-do 461-701, Korea
- Department of BionanoTechnology, Gachon University, 1342 Sungnam-daero, Sujung-gu, Seongnam-si, Gyeonggi-do 461-701, Korea
- Correspondence: (T.T.D.N.); (V.G.V.)
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The MemClin project: a prospective multi memory clinics study targeting early stages of cognitive impairment. BMC Geriatr 2020; 20:93. [PMID: 32138686 PMCID: PMC7059672 DOI: 10.1186/s12877-020-1478-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 02/17/2020] [Indexed: 12/17/2022] Open
Abstract
Background There remains a lack of large-scale clinical studies of cognitive impairment that aim to increase diagnostic and prognostic accuracy as well as validate previous research findings. The MemClin project will amass large quantities of cross-disciplinary data allowing for the construction of robust models to improve diagnostic accuracy, expand our knowledge on differential diagnostics, strengthen longitudinal prognosis, and harmonise examination protocols across centres. The current article describes the Memory Clinic (MemClin) project’s study-design, materials and methods, and patient characteristics. In addition, we present preliminary descriptive data from the ongoing data collection. Methods Nine out of ten memory clinics in the greater Stockholm area, which largely use the same examination methods, are included. The data collection of patients with different stages of cognitive impairment and dementia is coordinated centrally allowing for efficient and secure large-scale database construction. The MemClin project rest directly on the memory clinics examinations with cognitive measures, health parameters, and biomarkers. Results Currently, the MemClin project has informed consent from 1543 patients. Herein, we present preliminary data from 835 patients with confirmed cognitive diagnosis and neuropsychological test data available. Of those, 239 had dementia, 487 mild cognitive impairment (MCI), and 104 subjective cognitive impairment (SCI). In addition, we present descriptive data on visual ratings of brain atrophy and cerebrospinal fluid markers. Conclusions Based on our current progress and preliminary data, the MemClin project has a high potential to provide a large-scale database of 1200–1500 new patients annually. This coordinated data collection will allow for the construction of improved diagnostic and prognostic models for neurodegenerative disorders and other cognitive conditions in their naturalistic setting.
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4
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Emergence of breath testing as a new non-invasive diagnostic modality for neurodegenerative diseases. Brain Res 2018; 1691:75-86. [DOI: 10.1016/j.brainres.2018.04.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Revised: 04/13/2018] [Accepted: 04/17/2018] [Indexed: 12/11/2022]
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Bousiges O, Bombois S, Schraen S, Wallon D, Quillard MM, Gabelle A, Lehmann S, Paquet C, Amar-Bouaziz E, Magnin E, Miguet-Alfonsi C, Delbeuck X, Lavaux T, Anthony P, Philippi N, Blanc F. Cerebrospinal fluid Alzheimer biomarkers can be useful for discriminating dementia with Lewy bodies from Alzheimer's disease at the prodromal stage. J Neurol Neurosurg Psychiatry 2018; 89:467-475. [PMID: 29321140 DOI: 10.1136/jnnp-2017-316385] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 10/24/2017] [Accepted: 11/08/2017] [Indexed: 12/23/2022]
Abstract
BACKGROUND Differential diagnosis between dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) is not straightforward, especially in the early stages of disease. We compared AD biomarkers (phospho-Tau181, total-Tau, Aβ42 and Aβ40) in cerebrospinal fluid (CSF) of patients with DLB and AD, focusing especially on the prodromal stage. METHODS A total of 1221 CSF were collected in different memory centres (ePLM network) in France and analysed retrospectively. Samples were obtained from patients with prodromal DLB (pro-DLB; n=57), DLB dementia (DLB-d; n=154), prodromal AD (pro-AD; n=132) and AD dementia (n=783), and control subjects (CS; n=95). These centres use the same diagnostic procedure and criteria to evaluate the patients. RESULTS In patients with pro-DLB, CSF Aβ42 levels appeared much less disrupted than in patients at the demented stage (DLB-d) (P<0.05 CS>pro-DLB; P<0.001 CS>DLB-d). On average, Aβ40 levels in patients with DLB (pro-DLB and DLB-d) were much below those in patients with pro-AD (P<0.001 DLB groups<pro-AD). The Aβ42/Aβ40 ratio in patients with pro-DLB remained close to that of CS. t-Tau and phospho-Tau181 levels were unaltered in patients with DLB (pro-DLB and DLB-d). CONCLUSIONS Reduced levels of CSF Aβ42 were found in patients with DLB but rather at a later stage, reaching those of patients with AD, in whom Aβ42 levels were decreased even at the prodromal stage. At the prodromal stage of DLB, the majority of patients presented a normal CSF profile. CSF t-Tau and phospho-Tau181 were the best biomarkers to discriminate between AD and DLB, whatever the stage of disease.
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Affiliation(s)
- Olivier Bousiges
- Laboratory of Biochemistry and Molecular Biology, and CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA), University Hospital of Strasbourg, Strasbourg, Alsace, France
| | - Stephanie Bombois
- Université Lille Nord de France, DISTALZ, Memory Center, Lille, France
| | - Susanna Schraen
- UMR-S 1172 - JPArc-Centre de recherches Jean-Pierre Aubert Neurosciences et Cancer and CHU Lille, UF Neurobiologie, Université Lille, Lille, France
| | - David Wallon
- Department of Neurology, Rouen University Hospital, Rouen, France
| | | | - Audrey Gabelle
- CMRR (Memory Resources and Research Centre), Department of Neurology, CHU de Montpellier, Hôpital, Gui de Chauliac, Montpellier, France
| | - Sylvain Lehmann
- Laboratoire de Biochimie et Protéomique Clinique, CHU de Montpellier and Université de Montpellier, IRMB, CRB, Montpellier, France
| | - Claire Paquet
- CMRR (Memory Resources and Research Centre) Paris Nord Ile de France and Histologie et Biologie du Vieillissement, Groupe Hospitalier Saint-Louis Lariboisière Fernand-Widal APHP, INSERM U942, Université Paris Diderot, Paris, France
| | - Elodie Amar-Bouaziz
- Service de Biochimie et Biologie moléculaire, GH Saint-Louis-Lariboisière-Fernand Widal, APHP, Paris, France
| | - Eloi Magnin
- Department of Neurology, Centre Mémoire Ressources Recherche Besançon Franche-Comté, CHU de Besançon, Besançon, France
| | | | - Xavier Delbeuck
- Université Lille Nord de France, DISTALZ, Memory Center, Lille, France
| | - Thomas Lavaux
- Laboratory of Biochemistry and Molecular Biology, University Hospital of Strasbourg, Strasbourg, France
| | - Pierre Anthony
- Neuropsychology Unit, Neurology Service, and CNRS, ICube Laboratory UMR 7357 and FMTS, Team IMIS/Neurocrypto, University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
| | - Nathalie Philippi
- Neuropsychology Unit, Neurology Service, and CNRS, ICube Laboratory UMR 7357 and FMTS, Team IMIS/Neurocrypto, University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
| | - Frederic Blanc
- Neuropsychology Unit, Neurology Service, and CNRS, ICube Laboratory UMR 7357 and FMTS, Team IMIS/Neurocrypto, University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
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Williams SM, Schulz P, Rosenberry TL, Caselli RJ, Sierks MR. Blood-Based Oligomeric and Other Protein Variant Biomarkers to Facilitate Pre-Symptomatic Diagnosis and Staging of Alzheimer's Disease. J Alzheimers Dis 2018; 58:23-35. [PMID: 28372328 DOI: 10.3233/jad-161116] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Oligomeric forms of amyloid-β (Aβ), tau, and TDP-43 play important roles in Alzheimer's disease (AD), and therefore are promising biomarkers. We previously generated single chain antibody fragments (scFvs) that selectively bind disease-related variants of these proteins including A4, C6T, and E1, which bind different oligomeric Aβ variants; D11C, which binds oligomeric tau; and AD-TDP1 and AD-TDP2, which bind disease related TDP-43 variants. To determine the utility of these disease-related variants as early biomarkers, we first analyzed 11 human sera samples obtained ∼2 years prior to an initial mild cognitive impairment (MCI) diagnosis. While the subsequent diagnoses for the cases covered several different conditions, all samples had elevated protein variant levels relative to the plasma controls although with different individual biomarker profiles. We then analyzed a set of longitudinal human plasma samples from four AD (encompassing time points prior to MCI diagnosis and continuing until after conversion to AD) and two control cases. Pre-MCI samples were characterized by high TDP-43 variant levels, MCI samples by high Aβ variant levels, and AD samples by high Aβ and tau variant levels. Sample time points ranged from ∼7 years pre-MCI to ∼9 years after AD conversion. Bivariate correlations showed a negative correlation with TDP-43 levels and positive correlations with cumulative Aβ and oligomeric tau levels indicating an increase in neurodegenerative processes with time in AD. Detection of disease related protein variants not only readily selects AD cases from controls, but also stages progression of AD and holds promise for a pre-symptomatic blood-based biomarker profile for AD.
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Affiliation(s)
- Stephanie M Williams
- Chemical Engineering, The School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA
| | - Philip Schulz
- Chemical Engineering, The School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA
| | - Terrone L Rosenberry
- Department of Neuroscience, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | | | - Michael R Sierks
- Chemical Engineering, The School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA
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8
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Oliveira J, Costa M, de Almeida MSC, da Cruz e Silva OA, Henriques AG. Protein Phosphorylation is a Key Mechanism in Alzheimer’s Disease. J Alzheimers Dis 2017; 58:953-978. [DOI: 10.3233/jad-170176] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Joana Oliveira
- Department of Medical Sciences, Neuroscience and Signalling Laboratory, iBiMED, University of Aveiro, Aveiro, Portugal
| | - Márcio Costa
- Department of Medical Sciences, Neuroscience and Signalling Laboratory, iBiMED, University of Aveiro, Aveiro, Portugal
| | | | - Odete A.B. da Cruz e Silva
- Department of Medical Sciences, Neuroscience and Signalling Laboratory, iBiMED, University of Aveiro, Aveiro, Portugal
| | - Ana Gabriela Henriques
- Department of Medical Sciences, Neuroscience and Signalling Laboratory, iBiMED, University of Aveiro, Aveiro, Portugal
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Xiao T, Zhang W, Jiao B, Pan CZ, Liu X, Shen L. The role of exosomes in the pathogenesis of Alzheimer' disease. Transl Neurodegener 2017; 6:3. [PMID: 28184302 PMCID: PMC5289036 DOI: 10.1186/s40035-017-0072-x] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 01/12/2017] [Indexed: 12/31/2022] Open
Abstract
Exosomes are small vesicles secreted by most cell types including neurons that function in intercellular communication through transfer of their cargo or encapsulate and eliminate unnecessary cellular components and therefore have a broad impact on nerve development, activation and regeneration. In addition, exosomes have been observed to be involved in spreading pathological misfolded proteins, thereby leading to the onset and propagation of disease. Alzheimer disease (AD) is the most common form of dementia and characterized by two types of lesions: amyloid plaques and neurofibrillary tangles. Accumulating evidence has demonstrated that exosomes are associated with amyloid precursor (APP) and Tau proteins and play a controversial role in Alzheimer’s disease process. In this review, we will discuss the role of exosomes in the metabolism and secretion of APP and Tau proteins and their subsequent impact on AD pathogenesis.
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Affiliation(s)
- Tingting Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Weiwei Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Bin Jiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Chu-Zheng Pan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xixi Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,State Key Laboratory of Medical Genetics, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
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10
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Bousiges O, Cretin B, Lavaux T, Philippi N, Jung B, Hezard S, Heitz C, Demuynck C, Gabel A, Martin-Hunyadi C, Blanc F. Diagnostic Value of Cerebrospinal Fluid Biomarkers (Phospho-Tau181, total-Tau, Aβ42, and Aβ40) in Prodromal Stage of Alzheimer's Disease and Dementia with Lewy Bodies. J Alzheimers Dis 2016; 51:1069-83. [PMID: 26923009 DOI: 10.3233/jad-150731] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Dementia with Lewy bodies (DLB) symptoms are close to those of Alzheimer's disease (AD), and the differential diagnosis is difficult especially early in the disease. Unfortunately, AD biomarkers in cerebrospinal fluid (CSF), and more particularly Aβ1 - 42, appear to be altered in dementia with Lewy bodies (DLB). However, the level of these biomarkers has never been studied in the prodromal stage of the disease. OBJECTIVE To compare these biomarkers between DLB and AD, with a particular focus on the prodromal stage. METHODS A total of 166 CSF samples were collected at the memory clinic of Strasbourg. They were obtained from prodromal DLB (pro-DLB), DLB dementia, prodromal AD (pro-AD), and AD dementia patients, and elderly controls. Phospho-Tau181, total-Tau, Aβ42, and Aβ40 were measured in the CSF. RESULTS At the prodromal stage, contrary to AD patients, DLB patients' biomarker levels in the CSF were not altered. At the demented stage of DLB, Aβ42 levels were reduced as well as Aβ40 levels. Thus, the Aβ42/Aβ40 ratio remained unchanged between the prodromal and demented stages, contrary to what was observed in AD. Tau and Phospho-Tau181 levels were unaltered in DLB patients. CONCLUSIONS We have shown that at the prodromal stage the DLB patients had no pathological profile. Consequently, CSF AD biomarkers are extremely useful for differentiating AD from DLB patients particularly at this stage when the clinical diagnosis is difficult. Thus, these results open up new perspectives on the interpretation of AD biomarkers in DLB.
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Affiliation(s)
- Olivier Bousiges
- University Hospital of Strasbourg, Laboratory of Biochemistry and Molecular Biology, Strasbourg, France.,University of Strasbourg and CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA), UMR7364, Strasbourg, France
| | - Benjamin Cretin
- University Hospital of Strasbourg, Neuropsychology Unit, Neurology Service, Strasbourg, France.,University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS/Neurocrypto, Strasbourg, France.,University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Strasbourg, France
| | - Thomas Lavaux
- University Hospital of Strasbourg, Laboratory of Biochemistry and Molecular Biology, Strasbourg, France
| | - Nathalie Philippi
- University Hospital of Strasbourg, Neuropsychology Unit, Neurology Service, Strasbourg, France.,University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS/Neurocrypto, Strasbourg, France.,University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Strasbourg, France.,University Hospital of Strasbourg, Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
| | - Barbara Jung
- University Hospital of Strasbourg, Neuropsychology Unit, Neurology Service, Strasbourg, France.,University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS/Neurocrypto, Strasbourg, France.,University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Strasbourg, France.,University Hospital of Strasbourg, Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
| | - Sylvie Hezard
- University Hospital of Strasbourg, Laboratory of Biochemistry and Molecular Biology, Strasbourg, France
| | - Camille Heitz
- University Hospital of Strasbourg, Neuropsychology Unit, Neurology Service, Strasbourg, France.,University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS/Neurocrypto, Strasbourg, France.,University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Strasbourg, France
| | - Catherine Demuynck
- University Hospital of Strasbourg, Neuropsychology Unit, Neurology Service, Strasbourg, France.,University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS/Neurocrypto, Strasbourg, France.,University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Strasbourg, France.,University Hospital of Strasbourg, Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
| | - Aurelia Gabel
- University Hospital of Strasbourg, Laboratory of Biochemistry and Molecular Biology, Strasbourg, France
| | - Catherine Martin-Hunyadi
- University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Strasbourg, France.,University Hospital of Strasbourg, Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
| | - Frédéric Blanc
- University Hospital of Strasbourg, Neuropsychology Unit, Neurology Service, Strasbourg, France.,University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS/Neurocrypto, Strasbourg, France.,University Hospital of Strasbourg, CMRR (Memory Resources and Research Centre), Strasbourg, France.,University Hospital of Strasbourg, Geriatrics Day Hospital, Geriatrics Service, Strasbourg, France
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Brown EE, Graff‐Guerrero A, Houle S, Mizrahi R, Wilson AA, Pollock BG, Mulsant BH, Felsky D, Voineskos AN, Tang‐Wai DF, Verhoeff NPLG, Freedman M, Ismail Z, Chow TW. Amyloid deposition in semantic dementia: a positron emission tomography study. Int J Geriatr Psychiatry 2016; 31:1064-74. [PMID: 26807731 PMCID: PMC6139433 DOI: 10.1002/gps.4423] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Revised: 12/07/2015] [Accepted: 12/09/2015] [Indexed: 11/11/2022]
Abstract
BACKGROUND Pittsburgh compound B ([11C]-PIB) identifies amyloid-β (Aβ) deposition in vivo. Asymptomatic Aβ deposition has been reported consistently in some healthy older subjects. Of patients with frontotemporal dementia, those who have later onset have a higher potential for Aβ deposition. OBJECTIVE Comparison of Aβ deposition in Alzheimer's disease (AD), healthy older controls, and patients with early- and late-onset semantic dementia (SD), a subtype of frontotemporal dementia. METHODS Subjects were recruited from tertiary academic care centers specializing in assessment and management of patients with neurodegenerative disease. We used the radiotracer [11C]-PIB in a high-resolution positron emission tomography scanner to evaluate 11 participants with SD (six with onset before age 65 and five with later onset), 9 with probable AD, and 10 controls over age 60. The main outcome measures were frontal, temporal, parietal, and total [11C]-PIB standardized uptake value ratios to establish PIB-positive (PIB+) cutoff. RESULTS The five patients with late-onset SD were PIB-negative. Two of six with early-onset SD, seven of nine with AD, and 1 of 10 controls were PIB+. The SD participants who were PIB+ did not have memory or visuospatial deficits that are typical in AD. CONCLUSIONS Aβ deposition does not seem to be associated with late-onset SD. Future larger studies might confirm whether a significant minority of early-onset SD patients exhibit Aβ deposition. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Eric E. Brown
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Ariel Graff‐Guerrero
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoOntarioCanada
| | - Sylvain Houle
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoOntarioCanada
| | - Romina Mizrahi
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoOntarioCanada
| | - Alan A. Wilson
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoOntarioCanada
| | - Bruce G. Pollock
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoOntarioCanada
| | - Benoit H. Mulsant
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoOntarioCanada
| | - Daniel Felsky
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Aristotle N. Voineskos
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoOntarioCanada
| | | | - Nicolaas P. L. G. Verhoeff
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Baycrest Health SciencesTorontoOntarioCanada
| | - Morris Freedman
- Baycrest Health SciencesTorontoOntarioCanada,Rotman Research Institute, Baycrest Health SciencesTorontoOntarioCanada,Division of Neurology, Department of MedicineUniversity of TorontoTorontoOntarioCanada,Department of Medicine, Division of NeurologyMt. Sinai HospitalTorontoOntarioCanada
| | - Zahinoor Ismail
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoOntarioCanada,Departments of Psychiatry and NeurologyHotchkiss Brain Institute, University of CalgaryCalgaryAlbertaCanada
| | - Tiffany W. Chow
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada,Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoOntarioCanada,Baycrest Health SciencesTorontoOntarioCanada,Rotman Research Institute, Baycrest Health SciencesTorontoOntarioCanada,Division of Neurology, Department of MedicineUniversity of TorontoTorontoOntarioCanada
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12
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Sancesario GM, Bernardini S. How many biomarkers to discriminate neurodegenerative dementia? Crit Rev Clin Lab Sci 2015; 52:314-26. [PMID: 26292074 DOI: 10.3109/10408363.2015.1051658] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
A number of cerebrospinal fluid (CSF) biomarkers are currently used for the diagnosis of dementia. Opposite changes in the level of amyloid-β(1-42) versus total tau and phosphorylated-tau181 in the CSF reflect the specific pathology of Alzheimer's disease (AD) in the brain. This panel of biomarkers has proven to be effective to differentiate AD from controls and from the major types of neurodegenerative dementia, and to evaluate the progression from mild cognitive impairment to AD. In the absence of specific biomarkers reflecting the pathologies of the other most common forms of dementia, such as Lewy Body disease, Frontotemporal lobar degeneration, Creutzfeldt-Jakob disease, etc., the evaluation of biomarkers of AD pathology is used, attempting to exclude rather than to confirm AD. Other biomarkers included in the common clinical practice do not clearly relate to the underlying pathology: progranulin (PGRN) is a selective marker of frontotemporal dementia with mutations in the PGRN gene; the 14-3-3 protein is a highly sensitive and specific marker for Creutzfeldt-Jakob disease, but has to be used carefully in differentiating rapid progressive dementia; and α-synuclein is an emerging candidate biomarker of the different forms of synucleinopathy. This review summarizes several biomarkers of neurodegenerative dementia validated based on the neuropathological processes occurring in brain tissue. Notwithstanding the paucity of pathologically validated biomarkers and their high analytical variability, the combinations of these biomarkers may well represent a key and more precise analytical and diagnostic tool in the complex plethora of degenerative dementia.
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Affiliation(s)
- Giulia M Sancesario
- a Department of Clinical and Behavioural Neurology , Santa Lucia Foundation, IRCCS , Rome , Italy and
| | - Sergio Bernardini
- b Department of Experimental Medicine and Surgery , Tor Vergata University of Rome , Rome , Italy
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Paterson RW, Toombs J, Slattery CF, Schott JM, Zetterberg H. Biomarker modelling of early molecular changes in Alzheimer's disease. Mol Diagn Ther 2014; 18:213-27. [PMID: 24281842 DOI: 10.1007/s40291-013-0069-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The preclinical phase of Alzheimer's disease (AD) occurs years, possibly decades, before the onset of clinical symptoms. Being able to detect the very earliest stages of AD is critical to improving understanding of AD biology, and identifying individuals at greatest risk of developing clinical symptoms with a view to treating AD pathophysiology before irreversible neurodegeneration occurs. Studies of dominantly inherited AD families and longitudinal studies of sporadic AD have contributed to knowledge of the earliest AD biomarkers. Here we appraise this evidence before reviewing novel, particularly fluid, biomarkers that may provide insights into AD pathogenesis and relate these to existing hypothetical disease models.
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Affiliation(s)
- Ross W Paterson
- Dementia Research Centre, Department of Neurodegeneration, UCL Institute of Neurology, London, UK,
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Chen S, Zhang L, Long Y, Zhou F. Electroanalytical Sensors and Methods for Assays and Studies of Neurological Biomarkers. ELECTROANAL 2014. [DOI: 10.1002/elan.201400040] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Varamini B, Sikalidis AK, Bradford KL. Resveratrol increases cerebral glycogen synthase kinase phosphorylation as well as protein levels of drebrin and transthyretin in mice: an exploratory study. Int J Food Sci Nutr 2013; 65:89-96. [PMID: 24020380 DOI: 10.3109/09637486.2013.832171] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Alzheimer's disease (AD) is characterized by intraneuronal β-amyloid plaques and hyperphosphorylated tau, leading to neuronal cell death and progressive memory losses. This exploratory work investigates if dietary resveratrol, previously shown to have broad anti-aging effects and improve AD pathology in vivo, leads to neuroprotective changes in specific protein targets in the mouse brain. Both wild-type and APP/PS1 mice, a transgenic AD mouse model, received control AIN-93G diet or AIN-93G supplemented with resveratrol. Pathology parameters and AD risk were assessed via measurements on plaque burden, levels of phosphorylated glycogen synthase kinase 3-β (GSK3-β), tau, transthyretin and drebrin. Dietary resveratrol treatment did not decrease plaque burden in APP/PS1 mice. However, resveratrol-fed mice demonstrated increases in GSK3-β phosphorylation, a 3.8-fold increase in protein levels of transthyretin, and a 2.2-fold increase in drebrin. This study broadens our understanding of specific mechanisms and targets whereby resveratrol provides neuroprotection.
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Affiliation(s)
- Behzad Varamini
- Division of Nutritional Sciences, Cornell University , Ithaca, NY , USA and
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