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Wanionok NE, Morel GR, Fernández JM. Osteoporosis and Alzheimer´s disease (or Alzheimer´s disease and Osteoporosis). Ageing Res Rev 2024; 99:102408. [PMID: 38969142 DOI: 10.1016/j.arr.2024.102408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 07/02/2024] [Accepted: 07/02/2024] [Indexed: 07/07/2024]
Abstract
Alzheimer's disease (AD) and osteoporosis are two diseases that mainly affect elderly people, with increases in the occurrence of cases due to a longer life expectancy. Several epidemiological studies have shown a reciprocal association between both diseases, finding an increase in incidence of osteoporosis in patients with AD, and a higher burden of AD in osteoporotic patients. This epidemiological relationship has motivated the search for molecules, genes, signaling pathways and mechanisms that are related to both pathologies. The mechanisms found in these studies can serve to improve treatments and establish better patient care protocols.
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Affiliation(s)
- Nahuel E Wanionok
- Laboratorio de Osteopatías y Metabolismo Mineral (LIOMM), Facultad de Cs. Exactas. Universidad Nacional de La Plata UNLP-CIC, Argentina
| | - Gustavo R Morel
- Biochemistry Research Institute of La Plata "Professor Doctor Rodolfo R. Brenner" (INIBIOLP), Argentina
| | - Juan M Fernández
- Laboratorio de Osteopatías y Metabolismo Mineral (LIOMM), Facultad de Cs. Exactas. Universidad Nacional de La Plata UNLP-CIC, Argentina.
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Schraen-Maschke S, Duhamel A, Vidal JS, Ramdane N, Vaudran L, Dussart C, Buée L, Sablonnière B, Delaby C, Allinquant B, Gabelle A, Bombois S, Lehmann S, Hanon O. The free plasma amyloid Aβ 1-42/Aβ 1-40 ratio predicts conversion to dementia for subjects with mild cognitive impairment with performance equivalent to that of the total plasma Aβ 1-42/Aβ 1-40 ratio. The BALTAZAR study. Neurobiol Dis 2024; 193:106459. [PMID: 38423192 DOI: 10.1016/j.nbd.2024.106459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 02/26/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND AND PURPOSE Blood-based biomarkers are a non-invasive solution to predict the risk of conversion of mild cognitive impairment (MCI) to dementia. The utility of free plasma amyloid peptides (not bound to plasma proteins and/or cells) as an early indicator of conversion to dementia is still debated, as the results of studies have been contradictory. In this context, we investigated whether plasma levels of the free amyloid peptides Aβ1-42 and Aβ1-40 and the free plasma Aβ1-42/Aβ1-40 ratio are associated with the conversion of MCI to dementia, in particular AD, over three years of follow-up in a subgroup of the BALTAZAR cohort. We also compared their predictive value to that of total plasma Aβ1-42 and Aβ1-40 levels and the total plasma Aβ1-42/Aβ1-40 ratio. METHODS The plasma Aβ1-42 and Aβ1-40 peptide assay was performed using the INNO-BIA kit (Fujirebio Europe). Free amyloid levels (defined by the amyloid fraction directly accessible to antibodies of the assay) were obtained with the undiluted plasma, whereas total amyloid levels were obtained after the dilution of plasma (1/3) with a denaturing buffer. Free and total Aβ1-42 and Aβ1-40 levels were measured at inclusion for a subgroup of participants (N = 106) with mild cognitive impairment (MCI) from the BALTAZAR study (a large-scale longitudinal multicenter cohort with a three-year follow-up). Associations between conversion and the free/total plasma Aβ1-42 and Aβ1-40 levels and Aβ1-42/Aβ1-40 ratio were analyzed using logistic and Cox Proportional Hazards models. Demographic, clinical, cognitive (MMSE, ADL and IADL), APOE, and MRI characteristics (relative hippocampal volume) were compared using non-parametric (Mann-Whitney) or parametric (Student) tests for quantitative variables and Chi-square or Fisher exact tests for qualitative variables. RESULTS The risk of conversion to dementia was lower for patients in the highest quartile of free plasma Aβ1-42/Aβ1-40 (≥ 25.8%) than those in the three lower quartiles: hazard ratio = 0.36 (95% confidence interval [0.15-0.87]), after adjustment for age, sex, education, and APOE ε4 (p-value = 0.022). This was comparable to the risk of conversion in the highest quartile of total plasma Aβ1-42/Aβ1-40: hazard ratio = 0.37 (95% confidence interval [0.16-0.89], p-value = 0.027). However, while patients in the highest quartile of total plasma Aβ1-42/Aβ1-40 showed higher MMSE scores and a higher hippocampal volume than patients in the three lowest quartiles of total plasma Aβ1-42/Aβ1-40, as well as normal CSF biomarker levels, the patients in the highest quartile of free plasma Aβ1-42/Aβ1-40 did not show any significant differences in MMSE scores, hippocampal volume, or CSF biomarker levels relative to the three lowest quartiles of free plasma Aβ1-42/Aβ1-40. CONCLUSION The free plasma Aβ1-42/Aβ1-40 ratio is associated with a risk of conversion from MCI to dementia within three years, with performance comparable to that of the total plasma Aβ1-42/Aβ1-40 ratio. Threshold levels of the free and total plasma Aβ1-42/Aβ1-40 ratio could be determined, with a 60% lower risk of conversion for patients above the threshold than those below.
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Affiliation(s)
- S Schraen-Maschke
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France.
| | - A Duhamel
- Univ. Lille, CHU Lille, ULR 2694-METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, Lille, France
| | - J S Vidal
- Université de Paris, EA 4468 and APHP, Hôpital Broca, Memory Resource and Research Centre of de Paris-Broca-Ile de France, Paris, France
| | - N Ramdane
- Univ. Lille, CHU Lille, ULR 2694-METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, Lille, France
| | - L Vaudran
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - C Dussart
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - L Buée
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - B Sablonnière
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - C Delaby
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - B Allinquant
- UMR-S1266, Université Paris Cité, Institute of Psychiatry and Neurosciences, Inserm, Paris, France
| | - A Gabelle
- CMRR, Université de Montpellier, INM INSERM, CHU de Montpellier, Montpellier, France
| | - S Bombois
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France; Assistance Publique-Hôpitaux de Paris (AP-HP), Département de Neurologie, Centre des Maladies Cognitives et Comportementales, GH Pitié-Salpêtrière, Paris, France
| | - S Lehmann
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - O Hanon
- Université de Paris, EA 4468 and APHP, Hôpital Broca, Memory Resource and Research Centre of de Paris-Broca-Ile de France, Paris, France.
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Hanon O, Vidal JS, Lehmann S, Bombois S, Allinquant B, Baret-Rose C, Tréluyer JM, Abdoul H, Gelé P, Delmaire C, Blanc F, Mangin JF, Buée L, Touchon J, Hugon J, Vellas B, Galbrun E, Benetos A, Berrut G, Paillaud E, Wallon D, Castelnovo G, Volpe-Gillot L, Paccalin M, Robert P, Godefroy O, Camus V, Belmin J, Vandel P, Novella JL, Duron E, Rigaud AS, Schraen-Maschke S, Gabelle A. Plasma amyloid beta predicts conversion to dementia in subjects with mild cognitive impairment: The BALTAZAR study. Alzheimers Dement 2022; 18:2537-2550. [PMID: 35187794 DOI: 10.1002/alz.12613] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 10/20/2021] [Accepted: 12/10/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Blood-based biomarkers are the next challenge for Alzheimer's disease (AD) diagnosis and prognosis. METHODS Mild cognitive impairment (MCI) participants (N = 485) of the BALTAZAR study, a large-scale longitudinal multicenter cohort, were followed-up for 3 years. A total of 165 of them converted to dementia (95% AD). Associations of conversion and plasma amyloid beta (Aβ)1-42 , Aβ1-40 , Aβ1-42 /Aβ1-40 ratio were analyzed with logistic and Cox models. RESULTS Converters to dementia had lower level of plasma Aβ1-42 (37.1 pg/mL [12.5] vs. 39.2 [11.1] , P value = .03) and lower Aβ1-42 /Aβ1-40 ratio than non-converters (0.148 [0.125] vs. 0.154 [0.076], P value = .02). MCI participants in the highest quartile of Aβ1-42 /Aβ1-40 ratio (>0.169) had a significant lower risk of conversion (hazard ratio adjusted for age, sex, education, apolipoprotein E ε4, hippocampus atrophy = 0.52 (95% confidence interval [0.31-0.86], P value = .01). DISCUSSION In this large cohort of MCI subjects we identified a threshold for plasma Aβ1-42 /Aβ1-40 ratio that may detect patients with a low risk of conversion to dementia within 3 years.
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Affiliation(s)
- Olivier Hanon
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Université de Paris, EA 4468, APHP, Hopital Broca, Paris, France
| | - Jean-Sébastien Vidal
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Université de Paris, EA 4468, APHP, Hopital Broca, Paris, France
| | - Sylvain Lehmann
- CHU Montpellier, LBPC, Inserm, Université de Montpellier, Montpellier, France
| | - Stéphanie Bombois
- CHU Lille, U1172-LilNCog, LiCEND, LabEx DISTALZ, Université de Lille, Inserm, Lille, France
| | - Bernadette Allinquant
- UMR-S 1266, Université de Paris, Institute of Psychiatric and Neurosciences, Inserm, Paris, France
| | - Christiane Baret-Rose
- UMR-S 1266, Université de Paris, Institute of Psychiatric and Neurosciences, Inserm, Paris, France
| | - Jean-Marc Tréluyer
- Clinical Research Unit, Université de Paris, APHP, Hôpital Necker, Paris, France
| | - Hendy Abdoul
- Clinical Research Unit, Université de Paris, APHP, Hôpital Necker, Paris, France
| | - Patrick Gelé
- CHU Lille, CRB/CIC1403, Université de Lille, Inserm, Lille, France
| | - Christine Delmaire
- CHU Lille, U1172-LilNCog, LiCEND, LabEx DISTALZ, Université de Lille, Inserm, Lille, France
| | - Fredéric Blanc
- CM2R, pôle de Gériatrie, Laboratoire ICube, FMTS, CNRS, équipe IMIS, Université de Strasbourg, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Jean-François Mangin
- Neurospin, CEA, CNRS, cati-neuroimaging.com, CATI Multicenter Neuroimaging Platform, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Luc Buée
- CHU Lille, U1172-LilNCog, LiCEND, LabEx DISTALZ, Université de Lille, Inserm, Lille, France
| | - Jacques Touchon
- Department of Neurology, Memory Research and Resources Center of Montpellier, Inserm INM NeuroPEPs Team, Excellence Center of Neurodegenerative Disorders, Université de Montpellier, CHU Montpellier, Montpellier, France
| | - Jacques Hugon
- APHP, Groupe Hospitalier Saint Louis-Lariboisière Fernand Widal, Center of Cognitive Neurology, Université de Paris, Paris, France
| | - Bruno Vellas
- Memory Resource and Research Centre of Midi-Pyrénées, Université de Toulouse III, CHU La Grave-Casselardit, Toulouse, France
| | - Evelyne Galbrun
- Department of Gérontology 2, Sorbonne Université, APHP, Centre Hospitalier Dupuytren, Draveil, France
| | - Athanase Benetos
- Memory Resource and Research Centre of Lorraine, Université de Lorraine, CHRU de Nancy, Vandoeuvre-lès-Nancy, France
| | - Gilles Berrut
- Department of Clinical Gerontology, Memory Research Resource Center of Nantes, Université de Nantes, EA 4334 Movement-Interactions-Performance, CHU Nantes, Nantes, France
| | - Elena Paillaud
- Service de Gériatrie, Université de Paris, APHP, Hôpital Europeen Georges Pompidou, Paris, France
| | - David Wallon
- CHU de Rouen, Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Normandie Univ, UNIROUEN, Inserm U1245, Rouen, France
| | | | - Lisette Volpe-Gillot
- Service de Neuro-Psycho-Gériatrie, Memory Clinic, Hôpital Léopold Bellan, Paris, France
| | - Marc Paccalin
- Memory Resource and Research Centre of Poitiers, CHU de Poitiers, Poitiers, France
| | - Philippe Robert
- Memory Research Resource Center of Nice, CoBTek lab, Université Côte d'Azur, CHU de Nice, Nice, France
| | - Olivier Godefroy
- Memory Resource and Research Centre of Amiens Picardie, CHU d'Amiens-Picardie, Amiens, France
| | - Vincent Camus
- CHRU de Tours, UMR Inserm U1253, Université François-Rabelais de Tours, Tours, France
| | - Joël Belmin
- Service de Gériatrie Ambulatoire, Sorbonne Université, APHP, Hôpitaux Universitaires Pitie-Salpêtrière-Charles Foix, Paris, France
| | - Pierre Vandel
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive, CHU de Besançon, Memory Resource and Research Centre of Besançon Franche-Comté, Université Bourgogne Franche-Comté, Besançon, France
| | - Jean-Luc Novella
- Memory Resource and Research Centre of Champagne-Ardenne, Université de Reims Champagne-Ardenne, EA 3797, CHU de Reims, Reims, France
| | - Emmanuelle Duron
- Département de gériatrie, Équipe MOODS, Inserm 1178, Université Paris-Saclay, APHP, Hôpital Paul Brousse, Villejuif, France
| | - Anne-Sophie Rigaud
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Université de Paris, EA 4468, APHP, Hopital Broca, Paris, France
| | | | - Audrey Gabelle
- Department of Neurology, Memory Research and Resources Center of Montpellier, Inserm INM NeuroPEPs Team, Excellence Center of Neurodegenerative Disorders, Université de Montpellier, CHU Montpellier, Montpellier, France
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Chohan P, Dashwood M, Theodoulou G, Reed H, Kuruvilla T. Blood‐based biomarkers for Alzheimer's disease. PROGRESS IN NEUROLOGY AND PSYCHIATRY 2022. [DOI: 10.1002/pnp.764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Priyanka Chohan
- Priyanka Chohan is a Physician Associate in Child and Adolescent Mental health Services (CAMHS) at Leicester Partnership NHS Trust
| | - Mark Dashwood
- Dr Dashwood is an Old Age Psychiatry Registrar at Gloucestershire Health and Care (GHC) NHS Foundation Trust
| | - George Theodoulou
- Dr Theodoulou is a Honorary Senior Lecturer at University of Worcester; Dr Reed is a course leader and lecturer on the MSc Physician Associate course at University of Worcester
| | - Hannah Reed
- Dr Theodoulou is a Honorary Senior Lecturer at University of Worcester; Dr Reed is a course leader and lecturer on the MSc Physician Associate course at University of Worcester
| | - Tarun Kuruvilla
- Professor Kuruvilla is a Consultant Psychiatrist at GHC and Visiting Professor with the School of Health & Social Care at the University of Gloucestershire
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Ogonowski N, Salcidua S, Leon T, Chamorro-Veloso N, Valls C, Avalos C, Bisquertt A, Rentería ME, Orellana P, Duran-Aniotz C. Systematic Review: microRNAs as Potential Biomarkers in Mild Cognitive Impairment Diagnosis. Front Aging Neurosci 2022; 13:807764. [PMID: 35095478 PMCID: PMC8790149 DOI: 10.3389/fnagi.2021.807764] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/15/2021] [Indexed: 12/14/2022] Open
Abstract
The rate of progression from Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD) is estimated at >10% per year, reaching up to 80-90% after 6 years. MCI is considered an indicator of early-stage AD. In this context, the diagnostic screening of MCI is crucial for detecting individuals at high risk of AD before they progress and manifest further severe symptoms. Typically, MCI has been determined using neuropsychological assessment tools such as the Montreal Cognitive Assessment (MoCA) or Mini-Mental Status Examination (MMSE). Unfortunately, other diagnostic methods are not available or are unable to identify MCI in its early stages. Therefore, identifying new biomarkers for MCI diagnosis and prognosis is a significant challenge. In this framework, miRNAs in serum, plasma, and other body fluids have emerged as a promising source of biomarkers for MCI and AD-related cognitive impairments. Interestingly, miRNAs can regulate several signaling pathways via multiple and diverse targets in response to pathophysiological stimuli. This systematic review aims to describe the current state of the art regarding AD-related target genes modulated by differentially expressed miRNAs in peripheral fluids samples in MCI subjects to identify potential miRNA biomarkers in the early stages of AD. We found 30 articles that described five miRNA expression profiles from peripheral fluid in MCI subjects, showing possible candidates for miRNA biomarkers that may be followed up as fluid biomarkers or therapeutic targets of early-stage AD. However, additional research is needed to validate these miRNAs and characterize the precise neuropathological mechanisms.
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Affiliation(s)
- Natalia Ogonowski
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), National Scientific and Technical Research Council (CONICET), Universidad de San Andrés, Buenos Aires, Argentina
| | - Stefanny Salcidua
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
- Faculty of Engineering and Sciences, Universidad Adolfo Ibanez, Santiago, Chile
| | - Tomas Leon
- Global Brain Health Institute, Trinity College, Dublin, Ireland
- Memory and Neuropsychiatric Clinic (CMYN) Neurology Department, Hospital del Salvador, Faculty of Medicine, University of Chile, Santiago, Chile
| | | | | | - Constanza Avalos
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
| | | | - Miguel E. Rentería
- Department of Genetics and Computational Biology, Queensland Institute of Medical Research (QIMR) Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Paulina Orellana
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Santiago, Chile
| | - Claudia Duran-Aniotz
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Santiago, Chile
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Zhang M, Bian Z. The Emerging Role of Circular RNAs in Alzheimer's Disease and Parkinson's Disease. Front Aging Neurosci 2021; 13:691512. [PMID: 34322012 PMCID: PMC8311738 DOI: 10.3389/fnagi.2021.691512] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 06/22/2021] [Indexed: 12/27/2022] Open
Abstract
Alzheimer’s disease (AD) and Parkinson’s disease (PD) are two neurodegenerative diseases (NDDs) commonly found in elderly patients that are difficult to diagnose and lack effective treatment. Currently, the available diagnostic methods for these two NDDs do not meet clinical diagnostic expectations. Circular RNAs (circRNAs) are a diverse group of endogenous non-coding RNAs (ncRNAs) found in eukaryotic cells. Emerging studies suggest that altered expression of circRNAs is involved in the pathological processes of NDDs. CircRNAs could also prove to be promising biomarkers for the early diagnosis of NDDs such as AD and PD. Growing evidence has improved our knowledge of the roles of circRNAs in NDDs, which may lead to new therapeutic approaches that target transcription for preventing neurodegeneration. In this review, we describe the formation mechanisms and functions of circRNAs as well as methods of validation. We also discuss the emerging role of circRNAs in the pathophysiology of AD and PD and their potential value as biomarkers and therapeutic targets for AD and PD in the future.
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Affiliation(s)
- Meng Zhang
- Department of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zhigang Bian
- Department of Otolaryngology Head and Neck Surgery, Shengjing Hospital of China Medical University, Shenyang, China
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Yuen SC, Liang X, Zhu H, Jia Y, Leung SW. Prediction of differentially expressed microRNAs in blood as potential biomarkers for Alzheimer's disease by meta-analysis and adaptive boosting ensemble learning. Alzheimers Res Ther 2021; 13:126. [PMID: 34243793 PMCID: PMC8272278 DOI: 10.1186/s13195-021-00862-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 06/17/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Blood circulating microRNAs that are specific for Alzheimer's disease (AD) can be identified from differentially expressed microRNAs (DEmiRNAs). However, non-reproducible and inconsistent reports of DEmiRNAs hinder biomarker development. The most reliable DEmiRNAs can be identified by meta-analysis. To enrich the pool of DEmiRNAs for potential AD biomarkers, we used a machine learning method called adaptive boosting for miRNA disease association (ABMDA) to identify eligible candidates that share similar characteristics with the DEmiRNAs identified from meta-analysis. This study aimed to identify blood circulating DEmiRNAs as potential AD biomarkers by augmenting meta-analysis with the ABMDA ensemble learning method. METHODS Studies on DEmiRNAs and their dysregulation states were corroborated with one another by meta-analysis based on a random-effects model. DEmiRNAs identified by meta-analysis were collected as positive examples of miRNA-AD pairs for ABMDA ensemble learning. ABMDA identified similar DEmiRNAs according to a set of predefined criteria. The biological significance of all resulting DEmiRNAs was determined by their target genes according to pathway enrichment analyses. The target genes common to both meta-analysis- and ABMDA-identified DEmiRNAs were collected to construct a network to investigate their biological functions. RESULTS A systematic database search found 7841 studies for an extensive meta-analysis, covering 54 independent comparisons of 47 differential miRNA expression studies, and identified 18 reliable DEmiRNAs. ABMDA ensemble learning was conducted based on the meta-analysis results and the Human MicroRNA Disease Database, which identified 10 additional AD-related DEmiRNAs. These 28 DEmiRNAs and their dysregulated pathways were related to neuroinflammation. The dysregulated pathway related to neuronal cell cycle re-entry (CCR) was the only statistically significant pathway of the ABMDA-identified DEmiRNAs. In the biological network constructed from 1865 common target genes of the identified DEmiRNAs, the multiple core ubiquitin-proteasome system, that is involved in neuroinflammation and CCR, was highly connected. CONCLUSION This study identified 28 DEmiRNAs as potential AD biomarkers in blood, by meta-analysis and ABMDA ensemble learning in tandem. The DEmiRNAs identified by meta-analysis and ABMDA were significantly related to neuroinflammation, and the ABMDA-identified DEmiRNAs were related to neuronal CCR.
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Affiliation(s)
- Sze Chung Yuen
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, 999078 Macao China
| | - Xiaonan Liang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, 999078 Macao China
| | - Hongmei Zhu
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, 999078 Macao China
| | - Yongliang Jia
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, 999078 Macao China
- BGI College & Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan China
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Siu-wai Leung
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
- Edinburgh Bayes Centre for AI Research in Shenzhen, College of Science and Engineering, University of Edinburgh, Edinburgh, Scotland, UK
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Liu HC, Chiu MJ, Lin CH, Yang SY. Stability of Plasma Amyloid-β 1-40, Amyloid-β 1-42, and Total Tau Protein over Repeated Freeze/Thaw Cycles. Dement Geriatr Cogn Dis Extra 2020; 10:46-55. [PMID: 32308667 PMCID: PMC7154287 DOI: 10.1159/000506278] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 01/29/2020] [Indexed: 12/31/2022] Open
Abstract
Introduction Blood biomarkers of Alzheimer's disease (AD) have attracted much attention of researchers in recent years. In clinical studies, repeated freeze/thaw cycles often occur and may influence the stability of biomarkers. This study aims to investigate the stability of amyloid-β 1–40 (Aβ<sub>1–40</sub>), amyloid-β 1–42 (Aβ<sub>1–42</sub>), and total tau protein (T-tau) in plasma over freeze/thaw cycles. Methods Plasma samples from healthy controls (n = 2), AD patients (AD, n =3) and Parkinson's disease patients (PD, n = 3) were collected by standardized procedure and immediately frozen at −80°C. Samples underwent 5 freeze/thaw (−80°C/room temperature) cycles. The concentrations of Aβ<sub>1–40</sub>, Aβ<sub>1–42</sub>, and T-tau were monitored during the freeze/thaw tests using an immunomagnetic reduction (IMR) assay. The relative percentage of concentrations after every freeze/thaw cycle was calculated for each biomarker. Results A tendency of decrease in the averaged relative percentages over samples through the freeze and thaw cycles for Aβ<sub>1–40</sub> (100 to 97.11%), Aβ<sub>1–42</sub> (100 to 94.99%), and T-tau (100 to 95.65%) was found. However, the decreases were less than 6%. For all three biomarkers, no statistical significance was found between the levels of fresh plasma and those of the plasma experiencing 5 freeze/thaw cycles (p > 0.1). Conclusions Plasma Aβ<sub>1–40</sub>, Aβ<sub>1–42</sub>, and T-tau are stable through 5 freeze/thaw cycles measured with IMR.
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Affiliation(s)
| | - Ming-Jang Chiu
- Neurology, National Taiwan University Hospital, Taipei, Taiwan.,Neurology, College of Medicine, National Taiwan University, Taipei, Taiwan.,Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chin-Hsien Lin
- Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Shieh-Yueh Yang
- MagQu Co., Ltd., New Taipei City, Taiwan.,MagQu LLC, Surprise, Arizona, USA
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Wongchitrat P, Pakpian N, Kitidee K, Phopin K, Dharmasaroja PA, Govitrapong P. Alterations in the Expression of Amyloid Precursor Protein Cleaving Enzymes mRNA in Alzheimer Peripheral Blood. Curr Alzheimer Res 2020; 16:29-38. [PMID: 30411686 DOI: 10.2174/1567205015666181109103742] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 10/19/2018] [Accepted: 11/01/2018] [Indexed: 01/08/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common cause of dementia in elderly populations. Changes in the expression of the Amyloid Precursor Protein (APP)-cleaving enzymes directly affect the formation of Amyloid Beta (Aβ) plaques, a neuropathological hallmark of AD. OBJECTIVE We used peripheral blood from AD patients to investigate the expression of genes related to APP-processing [(β-site APP-cleaving enzyme 1 (BACE1), presenilin1 (PSEN1), and a disintegrin and metalloproteinase family 10 (ADAM10) and 17 (ADAM17)] and the epigenetic genes sirtuin (SIRT)1-3, which regulate Aβ production. METHOD Real-time polymerase chain reactions were performed to determine the specific mRNA levels in plasma. The mRNA levels in AD patients were compared to those in healthy persons and assessed in relation to the subjects' cognitive performance. RESULTS BACE1 mRNA level in AD subjects was significantly higher than those of healthy controls, whereas ADAM10 level was significantly lower in the AD subjects. The SIRT1 level was significantly decreased, while that of SIRT2 was increased in AD subjects and elderly controls compared to levels in healthy young control. In addition, correlations were found between the expression levels of BACE1, ADAM10 and SIRT1 and cognitive performance scores. Total Aβ (Aβ40+Aβ42) levels and the Aβ40/Aβ42 ratio were significantly increased in the AD subjects, whereas decrease in plasma Aβ42 was found in AD subjects. There was a negative correlation between Aβ40 or total Aβ and Thai Mental State Examination (TMSE) while there was no correlation between Aβ40/Aβ42 ratio or Aβ42 and TMSE. CONCLUSION The present findings provide evidence and support for the potential roles of these enzymes that drive Aβ synthesis and for epigenetic regulation in AD progression and development, which can possibly be considered peripheral markers of AD.
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Affiliation(s)
- Prapimpun Wongchitrat
- Center for Research and Innovation, Faculty of Medical Technology, Mahidol University, Salaya, Nakon Pathom, Thailand
| | - Nattaporn Pakpian
- Research Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Nakon Pathom, Thailand
| | - Kuntida Kitidee
- Center for Research and Innovation, Faculty of Medical Technology, Mahidol University, Salaya, Nakon Pathom, Thailand
| | - Kamonrat Phopin
- Center for Research and Innovation, Faculty of Medical Technology, Mahidol University, Salaya, Nakon Pathom, Thailand
| | - Pornpatr A Dharmasaroja
- Stroke and Neurodegenerative Diseases Research Unit, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand
| | - Piyarat Govitrapong
- Research Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Nakon Pathom, Thailand.,Chulabhorn Graduate Institute, Chulabhorn Royal Academy, Bangkok, Thailand
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10
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Medical Histories of Control Subjects Influence the Biomarker Potential of Plasma Aβ in Alzheimer's Disease: a Meta-analysis. J Mol Neurosci 2020; 70:861-870. [PMID: 32125624 DOI: 10.1007/s12031-020-01510-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 02/19/2020] [Indexed: 12/19/2022]
Abstract
Whether blood amyloid-β (Aβ) could be a peripheral biomarker of Alzheimer's disease (AD) remains in dispute. In the present study, we conducted a meta-analysis with 19 citations searched from Embase, PubMed, and the Cochrane Library database. Weighted mean difference (WMD) with 95% confidence intervals (CIs) was used to estimate the effect size. We firstly analyzed the plasma Aβ40, Aβ42, and Aβ42/Aβ40 ratio in AD and control group subjects. However, only a lower level of plasma Aβ42 was figured out in AD group subjects with weak statistical significance (WMD 1.82; 95% CI 0.59, 3.06; P = 0.004; I2 = 84%). We considered that the medical histories of control subjects could influence the biomarker ability of plasma Aβ. Therefore, subgroup analyses were then carried out based on a new recruiting criterion for control subjects, defining as no afflictions of any Aβ-related diseases. Surprisingly, AD group subjects showed a significant decrease in plasma Aβ42/Aβ40 ratio with low heterogeneity among studies (WMD 0.02; 95% CI 0.02, 0.02; P < 0.00001; I2 = 0%). Moreover, not only the Aβ42/Aβ40 ratio but also Aβ42 and Aβ40 were indifferent between AD and pseudo-control subjects which might be afflicted with Aβ-related diseases. This meta-analysis demonstrated that medical histories of control subjects were interference factors impeding plasma Aβ to be a biomarker of AD.
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11
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Wang X, Sun Y, Li T, Cai Y, Han Y. Amyloid-β as a Blood Biomarker for Alzheimer’s Disease: A Review of Recent Literature. J Alzheimers Dis 2020; 73:819-832. [PMID: 31868667 DOI: 10.3233/jad-190714] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Xiaoni Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yu Sun
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Taoran Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yanning Cai
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Key Laboratory for Neurodegenerative Diseases of the Ministry of Education, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
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12
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Belrose JC, Noppens RR. Anesthesiology and cognitive impairment: a narrative review of current clinical literature. BMC Anesthesiol 2019; 19:241. [PMID: 31881996 PMCID: PMC6933922 DOI: 10.1186/s12871-019-0903-7] [Citation(s) in RCA: 102] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 12/03/2019] [Indexed: 12/14/2022] Open
Abstract
Background The impact of general anesthesia on cognitive impairment is controversial and complex. A large body of evidence supports the association between exposure to surgery under general anesthesia and development of delayed neurocognitive recovery in a subset of patients. Existing literature continues to debate whether these short-term effects on cognition can be attributed to anesthetic agents themselves, or whether other variables are causative of the observed changes in cognition. Furthermore, there is conflicting data on the relationship between anesthesia exposure and the development of long-term neurocognitive disorders, or development of incident dementia in the patient population with normal preoperative cognitive function. Patients with pre-existing cognitive impairment present a unique set of anesthetic considerations, including potential medication interactions, challenges with cooperation during assessment and non-general anesthesia techniques, and the possibility that pre-existing cognitive impairment may impart a susceptibility to further cognitive dysfunction. Main body This review highlights landmark and recent studies in the field, and explores potential mechanisms involved in perioperative cognitive disorders (also known as postoperative cognitive dysfunction, POCD). Specifically, we will review clinical and preclinical evidence which implicates alterations to tau protein, inflammation, calcium dysregulation, and mitochondrial dysfunction. As our population ages and the prevalence of Alzheimer’s disease and other forms of dementia continues to increase, we require a greater understanding of potential modifiable factors that impact perioperative cognitive impairment. Conclusions Future research should aim to further characterize the associated risk factors and determine whether certain anesthetic approaches or other interventions may lower the potential risk which may be conferred by anesthesia and/or surgery in susceptible individuals.
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Affiliation(s)
- Jillian C Belrose
- Department of Anesthesia & Perioperative Medicine, Western University, London Health Sciences Center, 339 Windermere Rd, London, ON, N6A 5A5, Canada
| | - Ruediger R Noppens
- Department of Anesthesia & Perioperative Medicine, Western University, London Health Sciences Center, 339 Windermere Rd, London, ON, N6A 5A5, Canada.
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13
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Plasma Aβ42 and Total Tau Predict Cognitive Decline in Amnestic Mild Cognitive Impairment. Sci Rep 2019; 9:13984. [PMID: 31562355 PMCID: PMC6764975 DOI: 10.1038/s41598-019-50315-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 09/04/2019] [Indexed: 01/21/2023] Open
Abstract
Levels of amyloid-β (Aβ) and tau peptides in brain have been associated with Alzheimer disease (AD). The current study investigated the abilities of plasma Aβ42 and total-tau (t-tau) levels in predicting cognitive decline in subjects with amnestic mild cognitive impairment (MCI). Plasma Aβ42 and t-tau levels were quantified in 22 participants with amnestic MCI through immunomagnetic reduction (IMR) assay at baseline. The cognitive performance of participants was measured through neuropsychological tests at baseline and annual follow-up (average follow-up period of 1.5 years). The predictive value of plasma Aβ42 and t-tau for cognitive status was evaluated. We found that higher levels of Aβ42 and t-tau are associated with lower episodic verbal memory performance at baseline and cognitive decline over the course of follow-up. While Aβ42 or t-tau alone had moderate-to-high discriminatory value in the identification of future cognitive decline, the product of Aβ42 and t-tau offered greater differential value. These preliminary results might suggest that high levels of plasma Aβ42 and t-tau in amnestic MCI are associated with later cognitive decline. A further replication with a larger sample over a longer time period to validate and determine their long-term predictive value is warranted.
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14
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Lue LF, Pai MC, Chen TF, Hu CJ, Huang LK, Lin WC, Wu CC, Jeng JS, Blennow K, Sabbagh MN, Yan SH, Wang PN, Yang SY, Hatsuta H, Morimoto S, Takeda A, Itoh Y, Liu J, Xie H, Chiu MJ. Age-Dependent Relationship Between Plasma Aβ40 and Aβ42 and Total Tau Levels in Cognitively Normal Subjects. Front Aging Neurosci 2019; 11:222. [PMID: 31551751 PMCID: PMC6734161 DOI: 10.3389/fnagi.2019.00222] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 08/06/2019] [Indexed: 12/21/2022] Open
Abstract
Both amyloid plaques and neurofibrillary tangles are pathological hallmarks in the brains of patients with Alzheimer’s disease (AD). However, the constituents of these hallmarks, amyloid beta (Aβ) 40, Aβ42, and total Tau (t-Tau), have been detected in the blood of cognitively normal subjects by using an immunomagnetic reduction (IMR) assay. Whether these levels are age-dependent is not known, and their interrelation remains undefined. We determined the levels of these biomarkers in cognitively normal subjects of different age groups. A total of 391 cognitively normal subjects aged 23–91 were enrolled from hospitals in Asia, Europe, and North America. Healthy cognition was evaluated by NIA-AA guidelines to exclude subjects with mild cognitive impairment (MCI) and AD and by cognitive assessment using the Mini Mental State Examination and Clinical Dementia Rating (CDR). We examined the effect of age on plasma levels of Aβ40, Aβ42, and t-Tau and the relationship between these biomarkers during aging. Additionally, we explored age-related reference intervals for each biomarker. Plasma t-Tau and Aβ42 levels had modest but significant correlations with chronological age (r = 0.127, p = 0.0120 for t-Tau; r = −0.126, p = 0.0128 for Aβ42), ranging from ages 23 to 91. Significant positive correlations were detected between Aβ42 and t-Tau in the groups aged 50 years and older, with Rho values ranging from 0.249 to 0.474. Significant negative correlations were detected between Aβ40 and t-Tau from age 40 to 91 (r ranged from −0.293 to −0.582) and between Aβ40 and Aβ42 in the age groups of 30–39 (r = −0.562, p = 0.0235), 50–59 (r = −0.261, p = 0.0142), 60–69 (r = −0.303, p = 0.0004), and 80–91 (r = 0.459, p = 0.0083). We also provided age-related reference intervals for each biomarker. In this multicenter study, age had weak but significant effects on the levels of Aβ42 and t-Tau in plasma. However, the age group defined by decade revealed the emergence of a relationship between Aβ40, Aβ42, and t-Tau in the 6th and 7th decades. Validation of our findings in a large-scale and longitudinal study is warranted.
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Affiliation(s)
- Lih-Fen Lue
- Civin Neuropathology Laboratory, Banner Sun Health Research Institute, Sun City, AZ, United States
| | - Ming-Chyi Pai
- Division of Behavioral Neurology, Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ta-Fu Chen
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chaur-Jong Hu
- Department of Neurology, Taipei Medical University, Taipei, Taiwan.,Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Li-Kai Huang
- Department of Neurology, Taipei Medical University, Taipei, Taiwan.,Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Wei-Che Lin
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Chau-Chung Wu
- Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Jian-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
| | - Marwan N Sabbagh
- Lou Ruvo Center for Brain Health, Cleveland Clinic Nevada, Las Vegas, NV, United States
| | - Sui-Hing Yan
- Department of Neurology, Renai Branch, Taipei City Hospital, Taipei, Taiwan
| | - Pei-Ning Wang
- Department of Neurology, National Yang-Ming University, Taipei, Taiwan.,Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shieh-Yueh Yang
- MagQu Company Limited, New Taipei City, Taiwan.,MagQu LLC, Surprise, AZ, United States
| | - Hiroyuki Hatsuta
- Hatsuta Neurology Clinic, Osaka, Japan.,Department of Neurology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Satoru Morimoto
- Hatsuta Neurology Clinic, Osaka, Japan.,Department of Physiology, School of Medicine, Keio University, Tokyo, Japan
| | - Akitoshi Takeda
- Department of Neurology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yoshiaki Itoh
- Department of Neurology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Jun Liu
- Departemnt of Neurology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Haiqun Xie
- Department of Neurology, Foshan Hospital of Sun Yat-Sen University, Foshan, China
| | - Ming-Jang Chiu
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
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15
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Yu H, Yuan B, Chu Q, Wang C, Bi H. Protective roles of isoastilbin against Alzheimer's disease via Nrf2‑mediated antioxidation and anti‑apoptosis. Int J Mol Med 2019; 43:1406-1416. [PMID: 30664148 PMCID: PMC6365075 DOI: 10.3892/ijmm.2019.4058] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 01/07/2019] [Indexed: 12/18/2022] Open
Abstract
By analyzing the L‑glutamic acid (L‑Glu)‑induced apoptosis of PC12 cells and an AlCl3 combined with D‑galactose (D‑gal)‑developed Alzheimer's disease (AD) mouse model, the protective effects of isoastilbin (IAB) against AD were systematically investigated in the present study. Pre‑incubation with IAB for 3 h prior to treatment with 25 mM L‑Glu decreased cell viability and inhibited apoptosis, suppressed the accumulation of intracellular reactive oxygen species, and restored mitochondrial membrane potential in PC12 cells induced by L‑Glu. In mice with AD, the reduced escape latency time in the water maze test, suppressed chronic movement in the center area of an open field test and enhanced ability to seek hidden food in a Y maze test indicated that abnormal behaviors had improved after 28 days of treatment with IAB. Furthermore, IAB reduced the deposition of amyloid β (Aβ) and the expression of phosphorylated‑Tau in the mouse brain and enhanced the serum levels of Aβ. IAB ameliorated the oxidative stress via modulating the levels of associated enzymes and improved the functioning of the central cholinergic system, as indicated by an increase in acetylcholine and choline acetyltransferase concentrations. The expression levels of acetylcholine esterase were reduced in the mouse brain in response to IAB pre‑treatment. In cells and brain tissue, IAB regulated the expression levels of pro‑ and anti‑apoptotic proteins and enhanced the nuclear levels of NF‑E2p45‑related factor 2 (Nrf2); subsequently, IAB further enhanced the expression of superoxide dismutase 1, catalase, and heme oxygenase‑1 and ‑2. The findings of the present study indicated that the protection of IAB against AD is at least partially associated with its antioxidation and anti‑apoptotic properties.
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Affiliation(s)
- Hong Yu
- Departments of Otolaryngology Head and Neck Surgery, Jilin 130021, P.R. China
| | - Bo Yuan
- Urology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin 130021, P.R. China
| | - Qiubo Chu
- School of Life Sciences, Jilin University, Changchun, Jilin 130012, P.R. China
| | - Chunyue Wang
- School of Life Sciences, Jilin University, Changchun, Jilin 130012, P.R. China
| | - Hui Bi
- Department of Anesthesiology, Hospital of Stomatology, Jilin University, Changchun, Jilin 130021, P.R. China
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16
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Wang C, Cai X, Hu W, Li Z, Kong F, Chen X, Wang D. Investigation of the neuroprotective effects of crocin via antioxidant activities in HT22 cells and in mice with Alzheimer's disease. Int J Mol Med 2018; 43:956-966. [PMID: 30569175 PMCID: PMC6317678 DOI: 10.3892/ijmm.2018.4032] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 12/07/2018] [Indexed: 01/30/2023] Open
Abstract
Due to its complex pathogenesis, the prevention and therapization of Alzheimer’s disease (AD) remains a serious challenge. Crocin, the main compound isolated from Crocus sativus L., demonstrates various pharmacological activities including anti-apoptotic properties. The present study investigated the neuroprotective effect of crocin and the underlying mechanisms. In l-glutamate-damaged HT22 cells, 3-h crocin pretreatment strongly enhanced the HT22 cell viability, reduced the apoptotic rate, mitigated mitochondrial dysfunction, suppressed intracellular reactive oxygen species (ROS) accumulation and Ca2+ overload compared with untreated cells. Additionally, crocin significantly decreased the expression levels of Bax, Bad and cleaved caspase-3 and increased the expression levels of B-cell lymphoma-extra large, phosphorylated (P-) protein kinase B and P-mammalian target of rapamycin compared with untreated cells. In mice with AD induced by d-galactose and aluminum trichloride, crocin substantially improved the cognition and memory abilities of the mice as measured by their coordination of movement in an open field test, and reduced their escape time in the Morris water maze test compared with untreated mice. Biochemical analysis confirmed that crocin was able to reduce the Aβ1-42 content in the mouse brains, increase the levels of glutathione peroxidase, superoxide dismutase, acetylcholine and choline acetyltransferase, and reduce the levels of ROS and acetylcholinesterase in the serum, cerebral cortex and hypothalamus compared with untreated mice. Immunohistochemical analysis demonstrated that crocin reduced Aβ1-42 deposition in the hippocampus of the brains of treated mice compared with untreated mice. In conclusion, crocin demonstrates good prospects in the treatment of AD through the oxidative stress-associated apoptosis signaling pathway.
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Affiliation(s)
- Chunyue Wang
- Department of Microbiology and Biochemistry, School of Life Sciences, Jilin University, Changchun, Jilin 130012, P.R. China
| | - Xueying Cai
- Department of Microbiology and Biochemistry, School of Life Sciences, Jilin University, Changchun, Jilin 130012, P.R. China
| | - Wenji Hu
- Department of Microbiology and Biochemistry, School of Life Sciences, Jilin University, Changchun, Jilin 130012, P.R. China
| | - Zhiping Li
- Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin 130006, P.R. China
| | - Fange Kong
- Department of Microbiology and Biochemistry, School of Life Sciences, Jilin University, Changchun, Jilin 130012, P.R. China
| | - Xia Chen
- Department of Microbiology and Biochemistry, School of Life Sciences, Jilin University, Changchun, Jilin 130012, P.R. China
| | - Di Wang
- Department of Microbiology and Biochemistry, School of Life Sciences, Jilin University, Changchun, Jilin 130012, P.R. China
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17
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Hu X, Teng S, He J, Sun X, Du M, Kou L, Wang X. Pharmacological basis for application of scutellarin in Alzheimer's disease: Antioxidation and antiapoptosis. Mol Med Rep 2018; 18:4289-4296. [PMID: 30221730 PMCID: PMC6172399 DOI: 10.3892/mmr.2018.9482] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 08/17/2018] [Indexed: 12/12/2022] Open
Abstract
Scutellarin (SC), mainly extracted from the Chinese herb Erigeron breviscapus (vant.), has been reported to possess various pharmacological activities; however, its effects on Alzheimer's disease (AD) have not been systemically reported. The protective effects of SC on AD were investigated using an L‑glutamic acid (L‑Glu)‑damaged HT22 cell apoptosis model and an aluminum chloride plus D‑galactose‑induced AD mouse model. In L‑Glu‑damaged HT22 cells, SC significantly increased cell viability, inhibited lactate dehydrogenase release, reduced caspase‑3 activity and suppressed apoptosis, which were determined via an MTT assay, an in vitro Toxicology Assay kit, a Caspase‑3 activity assay kit, and propidium iodide and Annexin V staining. Furthermore, SC suppressed the accumulation of intracellular reactive oxygen species (ROS), restored the dissipation of mitochondrial membrane potential, enhanced the expression of antiapoptotic proteins and reduced the expression of pro‑apoptotic proteins, as determined by immunofluorescence assays and western blotting. In AD mice, SC enhanced vertical and horizontal movements in an autonomic activity test, and reduced the escape latency time in the water maze test. SC reduced the deposition of amyloid β1‑42 (Aβ1‑42) and the expression of phosphorylated‑Tau in the hippocampus as determined by immunohistochemistry analysis, but enhanced the serum levels of Aβ1‑42 of AD mice as determined by ELISA. ELISA analyses also revealed that SC enhanced the levels of acetylcholine, and superoxide dismutase in serum and brain lysate, whereas reduced the levels of ROS in brain lysate of AD mice. The present study confirmed that the protective effects of SC in AD in vitro and in vivo are associated with its antioxidant and antiapoptotic properties.
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Affiliation(s)
- Xinyu Hu
- Faculty of Clinical Medicine, Changchun Medical College, Changchun, Jilin 130031, P.R. China
| | - Shanshan Teng
- School of Life Sciences, Jilin University, Changchun, Jilin 13001, P.R. China
| | - Jiawei He
- School of Life Sciences, Jilin University, Changchun, Jilin 13001, P.R. China
| | - Xiaoqi Sun
- Faculty of Clinical Medicine, Changchun Medical College, Changchun, Jilin 130031, P.R. China
| | - Mingzhao Du
- School of Life Sciences, Jilin University, Changchun, Jilin 13001, P.R. China
| | - Ling Kou
- School of Life Sciences, Jilin University, Changchun, Jilin 13001, P.R. China
| | - Xiaofeng Wang
- School of Life Sciences, Jilin University, Changchun, Jilin 13001, P.R. China
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18
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Hanon O, Vidal JS, Lehmann S, Bombois S, Allinquant B, Tréluyer JM, Gelé P, Delmaire C, Blanc F, Mangin JF, Buée L, Touchon J, Hugon J, Vellas B, Galbrun E, Benetos A, Berrut G, Paillaud E, Wallon D, Castelnovo G, Volpe-Gillot L, Paccalin M, Robert PH, Godefroy O, Dantoine T, Camus V, Belmin J, Vandel P, Novella JL, Duron E, Rigaud AS, Schraen-Maschke S, Gabelle A. Plasma amyloid levels within the Alzheimer's process and correlations with central biomarkers. Alzheimers Dement 2018; 14:858-868. [PMID: 29458036 DOI: 10.1016/j.jalz.2018.01.004] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 12/01/2017] [Accepted: 01/08/2018] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Diagnostic relevance of plasma amyloid β (Aβ) for Alzheimer's disease (AD) process yields conflicting results. The objective of the study was to assess plasma levels of Aβ42 and Aβ40 in amnestic mild cognitive impairment (MCI), nonamnestic MCI, and AD patients and to investigate relationships between peripheral and central biomarkers. METHODS One thousand forty participants (417 amnestic MCI, 122 nonamnestic MCI, and 501 AD) from the Biomarker of AmyLoïd pepTide and AlZheimer's diseAse Risk multicenter prospective study with cognition, plasma, cerebrospinal fluid (CSF), and magnetic resonance imaging assessments were included. RESULTS Plasma Aβ1-42 and Aβ1-40 were lower in AD (36.9 [11.7] and 263 [80] pg/mL) than in amnestic MCI (38.2 [11.9] and 269 [68] pg/mL) than in nonamnestic MCI (39.7 [10.5] and 272 [52] pg/mL), respectively (P = .01 for overall difference between groups for Aβ1-42 and P = .04 for Aβ1-40). Globally, plasma Aβ1-42 correlated with age, Mini-Mental State Examination, and APOE ε4 allele. Plasma Aβ1-42 correlated with all CSF biomarkers in MCI but only with CSF Aβ42 in AD. DISCUSSION Plasma Aβ was associated with cognitive status and CSF biomarkers, suggesting the interest of plasma amyloid biomarkers for diagnosis purpose.
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Affiliation(s)
- Olivier Hanon
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Hopital Broca, APHP, Paris, France; EA 4468, Université Paris Descartes, Sorbonne Paris Cité, Paris, France.
| | - Jean-Sébastien Vidal
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Hopital Broca, APHP, Paris, France; EA 4468, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Sylvain Lehmann
- Laboratoire de Protéomique Clinique, Department of Biochemistry, Saint Eloi Hospital, IRMB, Inserm U1183, Université de Montpellier, Montpellier, France
| | - Stéphanie Bombois
- Memory Clinic, CHU Lille, Lille, France; Université Lille, Inserm U1171, Degenerative and Vascular Cognitive Disorders, Lille, France
| | | | - Jean-Marc Tréluyer
- Unité de recherche Clinique, Hôpital Universitaire Necker-Enfants Malades, APHP, Université Paris Descartes, Paris, France
| | - Patrick Gelé
- Department of Biology and Pathology, CHU de Lille, Lille, France; Université Lille, INSERM UMRS 1172, Alzheimer's & Tauopathies, Centre de Biologie Pathologie Génétique, CHU Lille, Lille, France
| | - Christine Delmaire
- Memory Clinic, CHU Lille, Lille, France; Université Lille, Inserm U1171, Degenerative and Vascular Cognitive Disorders, Lille, France
| | - Fredéric Blanc
- Memory Resource and Research Centre of Strasbourg/Colmar, CHRU de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Fédération de Médecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Intégrative en Santé (IMIS)/Neurocrypto, Strasbourg, France
| | - Jean-François Mangin
- CATI Multicenter Neuroimaging Platform, Neurospin, CEA, cati-neuroimaging.com, Paris Saclay University, Gif-sur-Yvette, France
| | - Luc Buée
- Department of Biology and Pathology, CHU de Lille, Lille, France; Université Lille, INSERM UMRS 1172, Alzheimer's & Tauopathies, Centre de Biologie Pathologie Génétique, CHU Lille, Lille, France
| | - Jacques Touchon
- Memory Resource and Research Centre of Montpellier, Department of Neurology, CHU Gui de Chauliac, Université de Montpellier, Montpellier, France
| | - Jacques Hugon
- Memory Resource and Research Centre of Paris Nord-Ile de France, Groupe Hospitalier Saint Louis-Lariboisière-Fernand Widal, APHP, Paris, France; University of Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Bruno Vellas
- Memory Resource and Research Centre of Midi-Pyrénées, CHU La Grave-Casselardit, Toulouse, France
| | - Evelyne Galbrun
- Department of Gérontology 2, Centre Hospitalier Émile-Roux, AP-HP, Limeil-Brévannes, France
| | - Athanase Benetos
- Memory Resource and Research Centre of Lorraine, CHU de Nancy, Nancy, France
| | - Gilles Berrut
- Memory Research Resource Center of Nantes, CHU de Nantes, Nantes, France
| | - Elèna Paillaud
- Department of Internal Medicine and Geriatrics, Hôpital Henri-Mondor, APHP, Créteil, France
| | - David Wallon
- Memory Resource and Research Centre of Haute-Normandie, CHU Charles Nicolle, Rouen, France; Inserm U1079, IRIB, Université de Rouen-Normandie, Rouen, France
| | | | | | - Marc Paccalin
- Memory Resource and Research Centre of Poitiers, CHU de Poitiers, Poitiers, France
| | | | - Olivier Godefroy
- Memory Resource and Research Centre of Amiens Picardie, CHU d'Amiens-Picardie, Amiens, France
| | - Thierry Dantoine
- Memory Research Resource Center of Limoges, CHU de Limoges, Limoges, France
| | - Vincent Camus
- Memory Resource and Research Centre of Tours, CHRU de Tours, Tours, France; Inserm U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Joël Belmin
- Service de Gériatrie à orientation Cardiologique et Neurologique, Hôpitaux Universitaires Pitie-Salpêtrière-Charles Foix, APHP, Paris, France; DHU FAST, Sorbonne Universités, UPMC Université Paris 06, Paris, France
| | - Pierre Vandel
- Memory Resource and Research Centre of Besançon-Franche-Comté, CHU de Besançon, Besançon, France; EA 481 Neuroscience, IFR 133, University of Bourgogne Franche-Comté, Besançon, France
| | - Jean-Luc Novella
- Memory Resource and Research Centre of Champagne Ardenne, CHU de Reims, Reims, France; EA 3797, Université de Reims Champagne Ardenne, Reims, France
| | - Emmanuelle Duron
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Hopital Broca, APHP, Paris, France; EA 4468, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Anne-Sophie Rigaud
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Hopital Broca, APHP, Paris, France; EA 4468, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Suzanna Schraen-Maschke
- Department of Biology and Pathology, CHU de Lille, Lille, France; Université Lille, INSERM UMRS 1172, Alzheimer's & Tauopathies, Centre de Biologie Pathologie Génétique, CHU Lille, Lille, France
| | - Audrey Gabelle
- Memory Resource and Research Centre of Montpellier, Department of Neurology, CHU Gui de Chauliac, Université de Montpellier, Montpellier, France
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Pharmacological Basis for Use of Armillaria mellea Polysaccharides in Alzheimer's Disease: Antiapoptosis and Antioxidation. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2017; 2017:4184562. [PMID: 29081887 PMCID: PMC5610814 DOI: 10.1155/2017/4184562] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Revised: 07/19/2017] [Accepted: 07/27/2017] [Indexed: 01/01/2023]
Abstract
Armillaria mellea, an edible fungus, exhibits various pharmacological activities, including antioxidant and antiapoptotic properties. However, the effects of A. mellea on Alzheimer's disease (AD) have not been systemically reported. The present study aimed to explore the protective effects of mycelium polysaccharides (AMPS) obtained from A. mellea, especially AMPSc via 70% ethanol precipitation in a L-glutamic acid- (L-Glu-) induced HT22 cell apoptosis model and an AlCl3 plus D-galactose- (D-gal-) induced AD mouse model. AMPSc significantly enhanced cell viability, suppressed nuclear apoptosis, inhibited intracellular reactive oxygen species accumulation, prevented caspase-3 activation, and restored mitochondrial membrane potential (MMP). In AD mice, AMPSc enhanced horizontal movements in an autonomic activity test, improved endurance times in a rotarod test, and decreased escape latency time in a water maze test. Furthermore, AMPSc reduced the apoptosis rate, amyloid beta (Aβ) deposition, oxidative damage, and p-Tau aggregations in the AD mouse hippocampus. The central cholinergic system functions in AD mice improved after a 4-week course of AMPSc administration, as indicated by enhanced acetylcholine (Ach) and choline acetyltransferase (ChAT) concentrations, and reduced acetylcholine esterase (AchE) levels in serum and hypothalamus. Our findings provide experimental evidence suggesting A. mellea as a neuroprotective candidate for treating or preventing neurodegenerative diseases.
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Anti-Oxidative Stress Activity Is Essential for Amanita caesarea Mediated Neuroprotection on Glutamate-Induced Apoptotic HT22 Cells and an Alzheimer's Disease Mouse Model. Int J Mol Sci 2017; 18:ijms18081623. [PMID: 28749416 PMCID: PMC5578015 DOI: 10.3390/ijms18081623] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 07/22/2017] [Accepted: 07/24/2017] [Indexed: 12/21/2022] Open
Abstract
Amanita caesarea, an edible mushroom found mainly in Asia and southern Europe, has been reported to show good antioxidative activities. In the present study, the neuroprotective effects of A. caesarea aqueous extract (AC) were determined in an l-glutamic acid (l-Glu) induced HT22 cell apoptosis model, and in a d-galactose (d-gal) and AlCl3-developed experimental Alzheimer’s disease (AD) mouse model. In 25 mM of l-Glu-damaged HT22 cells, a 3-h pretreatment with AC strongly improved cell viability, reduced the proportion of apoptotic cells, restored mitochondrial function, inhibited the over-production of intracellular reactive oxygen species (ROS) and Ca2+, and suppressed the high expression levels of cleaved-caspase-3, calpain 1, apoptosis-inducing factor (AIF) and Bax. Compared with HT22 exposed only to l-Glu cells, AC enhanced the phosphorylation activities of protein kinase B (Akt) and the mammalian target of rapamycin (mTOR), and suppressed the phosphorylation activities of phosphatase and tensin homolog deleted on chromosome ten (PTEN). In the experimental AD mouse, 28-day AC administration at doses of 250, 500, and 1000 mg/kg/day strongly enhanced vertical movements and locomotor activities, increased the endurance time in the rotarod test, and decreased the escape latency time in the Morris water maze test. AC also alleviated the deposition of amyloid beta (Aβ) in the brain and improved the central cholinergic system function, as indicated by an increase acetylcholine (Ach) and choline acetyltransferase (ChAT) concentrations and a reduction in acetylcholine esterase (AchE) levels. Moreover, AC reduced ROS levels and enhanced superoxide dismutase (SOD) levels in the brain of experimental AD mice. Taken together, our data provide experimental evidence that A. caesarea may serve as potential food for treating or preventing neurodegenerative diseases.
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Huynh RA, Mohan C. Alzheimer's Disease: Biomarkers in the Genome, Blood, and Cerebrospinal Fluid. Front Neurol 2017; 8:102. [PMID: 28373857 PMCID: PMC5357660 DOI: 10.3389/fneur.2017.00102] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 03/01/2017] [Indexed: 01/20/2023] Open
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that slowly destroys memory and thinking skills, resulting in behavioral changes. It is estimated that nearly 36 million are affected globally with numbers reaching 115 million by 2050. AD can only be definitively diagnosed at autopsy since its manifestations of senile plaques and neurofibrillary tangles throughout the brain cannot yet be fully captured with current imaging technologies. Current AD therapeutics have also been suboptimal. Besides identifying markers that distinguish AD from controls, there has been a recent drive to identify better biomarkers that can predict the rates of cognitive decline and neocortical amyloid burden in those who exhibit preclinical, prodromal, or clinical AD. This review covers biomarkers of three main types: genes, cerebrospinal fluid-derived, and blood-derived biomarkers. Looking ahead, cutting-edge OMICs technologies, including proteomics and metabolomics, ought to be fully tapped in order to mine even better biomarkers for AD that are more predictive.
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Affiliation(s)
- Rose Ann Huynh
- Department of Biomedical Engineering, University of Houston , Houston, TX , USA
| | - Chandra Mohan
- Department of Biomedical Engineering, University of Houston , Houston, TX , USA
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Baird AL, Westwood S, Lovestone S. Blood-Based Proteomic Biomarkers of Alzheimer's Disease Pathology. Front Neurol 2015; 6:236. [PMID: 26635716 PMCID: PMC4644785 DOI: 10.3389/fneur.2015.00236] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Accepted: 10/26/2015] [Indexed: 12/31/2022] Open
Abstract
The complexity of Alzheimer’s disease (AD) and its long prodromal phase poses challenges for early diagnosis and yet allows for the possibility of the development of disease modifying treatments for secondary prevention. It is, therefore, of importance to develop biomarkers, in particular, in the preclinical or early phases that reflect the pathological characteristics of the disease and, moreover, could be of utility in triaging subjects for preventative therapeutic clinical trials. Much research has sought biomarkers for diagnostic purposes by comparing affected people to unaffected controls. However, given that AD pathology precedes disease onset, a pathology endophenotype design for biomarker discovery creates the opportunity for detection of much earlier markers of disease. Blood-based biomarkers potentially provide a minimally invasive option for this purpose and research in the field has adopted various “omics” approaches in order to achieve this. This review will, therefore, examine the current literature regarding blood-based proteomic biomarkers of AD and its associated pathology.
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Affiliation(s)
- Alison L Baird
- Department of Psychiatry, University of Oxford , Oxford , UK
| | - Sarah Westwood
- Department of Psychiatry, University of Oxford , Oxford , UK
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford , Oxford , UK
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Plasma and cerebrospinal fluid amyloid-β levels in late-life depression: A systematic review and meta-analysis. J Psychiatr Res 2015; 69:35-41. [PMID: 26343592 PMCID: PMC5102150 DOI: 10.1016/j.jpsychires.2015.07.024] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 07/16/2015] [Accepted: 07/23/2015] [Indexed: 12/15/2022]
Abstract
This study aimed to evaluate differences in plasma and cerebrospinal fluid (CSF) levels of Aβ peptides in older adults with late-life depression compared to non-depressed older controls. We conducted a systematic review and meta-analysis of the literature using PubMed, Web of science and Scopus databases with no search limits for publication dates or languages. Two independent reviewers extracted data and assessed quality. Six hundred references were retrieved, and we included 12 studies in the meta-analysis after eligibility screening. Older adults with late-life depression (LLD) had a higher plasma Aβ40:Aβ42 ratio compared to non-depressed participants (SMD = 1.10, CI95% [0.28; 1.96], p = 0.01), and marginally significant reduction of CSF Aβ42 levels (SMD = -1.12, CI95% [-2.47; 0.22], p = 0.1). The present results evidence that older adults with depression have significant differences in Aβ metabolism, in the same direction observed in individuals with AD. These differences in the Aβ metabolism may help identify a subgroup of subjects with LLD at higher risk of developing AD.
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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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Ritchie C, Smailagic N, Noel‐Storr AH, Takwoingi Y, Flicker L, Mason SE, McShane R. Plasma and cerebrospinal fluid amyloid beta for the diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI). Cochrane Database Syst Rev 2014; 2014:CD008782. [PMID: 24913723 PMCID: PMC6465069 DOI: 10.1002/14651858.cd008782.pub4] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND According to the latest revised National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (now known as the Alzheimer's Association) (NINCDS-ADRDA) diagnostic criteria for Alzheimer's disease dementia of the National Institute on Aging and Alzheimer Association, the confidence in diagnosing mild cognitive impairment (MCI) due to Alzheimer's disease dementia is raised with the application of biomarkers based on measures in the cerebrospinal fluid (CSF) or imaging. These tests, added to core clinical criteria, might increase the sensitivity or specificity of a testing strategy. However, the accuracy of biomarkers in the diagnosis of Alzheimer's disease dementia and other dementias has not yet been systematically evaluated. A formal systematic evaluation of sensitivity, specificity, and other properties of plasma and CSF amyloid beta (Aß) biomarkers was performed. OBJECTIVES To determine the accuracy of plasma and CSF Aß levels for detecting those patients with MCI who would convert to Alzheimer's disease dementia or other forms of dementia over time. SEARCH METHODS The most recent search for this review was performed on 3 December 2012. We searched MEDLINE (OvidSP), EMBASE (OvidSP), BIOSIS Previews (ISI Web of Knowledge), Web of Science and Conference Proceedings (ISI Web of Knowledge), PsycINFO (OvidSP), and LILACS (BIREME). We also requested a search of the Cochrane Register of Diagnostic Test Accuracy Studies (managed by the Cochrane Renal Group).No language or date restrictions were applied to the electronic searches and methodological filters were not used so as to maximise sensitivity. SELECTION CRITERIA We selected those studies that had prospectively well defined cohorts with any accepted definition of cognitive decline, but no dementia, with baseline CSF or plasma Aß levels, or both, documented at or around the time the above diagnoses were made. We also included studies which looked at data from those cohorts retrospectively, and which contained sufficient data to construct two by two tables expressing plasma and CSF Aß biomarker results by disease status. Moreover, studies were only selected if they applied a reference standard for Alzheimer's dementia diagnosis, for example the NINCDS-ADRDA or Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria. DATA COLLECTION AND ANALYSIS We screened all titles generated by the electronic database searches. Two review authors independently assessed the abstracts of all potentially relevant studies. We assessed the identified full papers for eligibility and extracted data to create standard two by two tables. Two independent assessors performed quality assessment using the QUADAS-2 tool. Where data allowed, we derived estimates of sensitivity at fixed values of specificity from the model we fitted to produce the summary receiver operating characteristic (ROC) curve. MAIN RESULTS Alzheimer's disease dementia was evaluated in 14 studies using CSF Aß42. Of the 1349 participants included in the meta-analysis, 436 developed Alzheimer's dementia. Individual study estimates of sensitivity were between 36% and 100% while the specificities were between 29% and 91%. Because of the variation in assay thresholds, we did not estimate summary sensitivity and specificity. However, we derived estimates of sensitivity at fixed values of specificity from the model we fitted to produce the summary ROC curve. At the median specificity of 64%, the sensitivity was 81% (95% CI 72 to 87). This equated to a positive likelihood ratio (LR+) of 2.22 (95% CI 2.00 to 2.47) and a negative likelihood ratio (LR-) of 0.31 (95% CI 0.21 to 0.48).The accuracy of CSF Aß42 for all forms of dementia was evaluated in four studies. Of the 464 participants examined, 188 developed a form of dementia (Alzheimer's disease and other forms of dementia).The thresholds used were between 209 mg/ml and 512 ng/ml. The sensitivities were between 56% and 75% while the specificities were between 47% and 76%. At the median specificity of 75%, the sensitivity was estimated to be 63% (95% CI 22 to 91) from the meta-analytic model. This equated to a LR+ of 2.51 (95% CI 1.30 to 4.86) and a LR- of 0.50 (95% CI 0.16 to 1.51).The accuracy of CSF Aß42 for non-Alzheimer's disease dementia was evaluated in three studies. Of the 385 participants examined, 61 developed non-Alzheimer's disease dementia. Since there were very few studies and considerable variation between studies, the results were not meta-analysed. The sensitivities were between 8% and 63% while the specificities were between 35% and 67%.Only one study examined the accuracy of plasma Aß42 and the plasma Aß42/Aß40 ratio for Alzheimer's disease dementia. The sensitivity of 86% (95% CI 81 to 90) was the same for both tests while the specificities were 50% (95% CI 44 to 55) and 70% (95% CI 64 to 75) for plasma Aß42 and the plasma Aß42/Aß40 ratio respectively. Of the 565 participants examined, 245 developed Alzheimer's dementia and 87 non-Alzheimer's disease dementia.There was substantial heterogeneity between studies. The accuracy of Aß42 for the diagnosis of Alzheimer's disease dementia did not differ significantly (P = 0.8) between studies that pre-specified the threshold for determining test positivity (n = 6) and those that only determined the threshold at follow-up (n = 8). One study excluded a sample of MCI non-Alzheimer's disease dementia converters from their analysis. In sensitivity analyses, the exclusion of this study had no impact on our findings. The exclusion of eight studies (950 patients) that were considered at high (n = 3) or unclear (n = 5) risk of bias for the patient selection domain also made no difference to our findings. AUTHORS' CONCLUSIONS The proposed diagnostic criteria for prodromal dementia and MCI due to Alzheimer's disease, although still being debated, would be fulfilled where there is both core clinical and cognitive criteria and a single biomarker abnormality. From our review, the measure of abnormally low CSF Aß levels has very little diagnostic benefit with likelihood ratios suggesting only marginal clinical utility. The quality of reports was also poor, and thresholds and length of follow-up were inconsistent. We conclude that when applied to a population of patients with MCI, CSF Aß levels cannot be recommended as an accurate test for Alzheimer's disease.
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Affiliation(s)
| | - Nadja Smailagic
- University of CambridgeInstitute of Public HealthForvie SiteRobinson WayCambridgeUKCB2 0SR
| | - Anna H Noel‐Storr
- University of OxfordRadcliffe Department of MedicineRoom 4401c (4th Floor)John Radcliffe Hospital, HeadingtonOxfordUKOX3 9DU
| | - Yemisi Takwoingi
- University of BirminghamPublic Health, Epidemiology and BiostatisticsEdgbastonBirminghamUKB15 2TT
| | - Leon Flicker
- University of Western AustraliaWestern Australian Centre for Health & Ageing ‐ WACHACrawleyPerthWestern AustraliaAustralia6014
| | | | - Rupert McShane
- University of OxfordRadcliffe Department of MedicineRoom 4401c (4th Floor)John Radcliffe Hospital, HeadingtonOxfordUKOX3 9DU
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Sanchez-Espinosa MP, Atienza M, Cantero JL. Sleep deficits in mild cognitive impairment are related to increased levels of plasma amyloid-β and cortical thinning. Neuroimage 2014; 98:395-404. [PMID: 24845621 DOI: 10.1016/j.neuroimage.2014.05.027] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2014] [Revised: 05/01/2014] [Accepted: 05/10/2014] [Indexed: 01/09/2023] Open
Abstract
Evidence suggests that amyloid-beta (Aβ) depositions parallel sleep deficits in Alzheimer's disease (AD). However, it remains unknown whether impaired sleep and changes in plasma Aβ levels are related in amnestic mild cognitive impairment (aMCI) subjects, and whether both markers are further associated with cortical thinning in canonical AD regions. To jointly address this issue, we investigated relationships between changes in physiological sleep and plasma Aβ concentrations in 21 healthy old (HO) adults and 21 aMCI subjects, and further assessed whether these two factors were associated with cortical loss in each group. aMCI, but not HO subjects, showed significant relationships between disrupted slow-wave sleep (SWS) and increased plasma levels of Aβ42. We also found that shortened rapid-eye movement (REM) sleep in aMCI correlated with thinning of the posterior cingulate, precuneus, and postcentral gyrus; whereas higher levels of Aβ40 and Aβ42 accounted for grey matter (GM) loss of posterior cingulate and entorhinal cortex, respectively. These results support preliminary relationships between Aβ burden and altered sleep physiology observed in animal models of AD amyloidosis, and provide precise cortical correlates of these changes in older adults with aMCI. Taken together, these findings open new research avenues on the combined role of sleep, peripheral Aβ levels and cortical integrity in tracking the progression from normal aging to early neurodegeneration.
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Affiliation(s)
- Mayely P Sanchez-Espinosa
- Laboratory of Functional Neuroscience, Spanish Network of Excellence for Research on Neurodegenerative Diseases (CIBERNED), Pablo de Olavide University, Seville, Spain
| | - Mercedes Atienza
- Laboratory of Functional Neuroscience, Spanish Network of Excellence for Research on Neurodegenerative Diseases (CIBERNED), Pablo de Olavide University, Seville, Spain
| | - Jose L Cantero
- Laboratory of Functional Neuroscience, Spanish Network of Excellence for Research on Neurodegenerative Diseases (CIBERNED), Pablo de Olavide University, Seville, Spain.
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Gabelle A, Richard F, Gutierrez LA, Schraen S, Delva F, Rouaud O, Buée L, Dartigues JF, Touchon J, Lambert JC, Berr C. Plasma amyloid-β levels and prognosis in incident dementia cases of the 3-City Study. J Alzheimers Dis 2013; 33:381-91. [PMID: 22976074 DOI: 10.3233/jad-2012-121147] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Studies of plasma amyloid-β (Aβ) levels as potential biomarkers for incident Alzheimer's disease (AD) have yielded contradictory results. We explored the associations between plasma Aβ(40), Aβ(42), and truncated Aβ levels, and prognosis of dementia in participants of the prospective 3-City Study. 120 aged individuals diagnosed with 2-year incident dementia were followed up for seven years. The associations between Aβ plasma levels and baseline cognitive score, cognitive decline, and death were examined. A higher level of baseline plasma Aβ was associated with worse cognitive status two years prior to incident dementia diagnosis. In incident AD patients, the association was only significant for Aβ(40) and Aβ(n-42). In the fast cognitive decliners group, especially in AD cases, a higher level of 5 pg/ml of baseline Aβ(42), Aβ(n-42), Aβ(n-42)/Aβ(n-40), and Aβ(42)/Aβ(40) ratios were associated with a lower risk of fast cognitive decline based on the Isaacs Set Test score. There was no association between peptide levels and mortality in demented subjects. When assayed at prodromal stage, plasma Aβ levels may be potentially useful markers of fast cognitive decline in individuals who subsequently become demented.
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Affiliation(s)
- Audrey Gabelle
- Department of Neurology, Centre Mémoire Ressources Recherche Languedoc-Roussillon, CHRU Gui de Chauliac Hospital, Montpellier, France.
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Mao P. Oxidative Stress and Its Clinical Applications in Dementia. JOURNAL OF NEURODEGENERATIVE DISEASES 2012; 2013:319898. [PMID: 26316986 PMCID: PMC4437276 DOI: 10.1155/2013/319898] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2012] [Accepted: 07/16/2012] [Indexed: 02/08/2023]
Abstract
Dementia is a complex disorder that mostly affects the elderly and represents a significant and growing public health burden in the world. Alzheimer's disease (AD)- associated dementia and dementia with Lewy bodies (DLB) are the most common forms of dementia, in which oxidative stress is significantly involved. Oxidative stress mechanisms may have clinical applications, that is, providing information for potential biomarkers. Thus brain-rich peptides with an antioxidant property, such as CART (cocaine- and amphetamine-regulated transcript), may be promising new markers. This paper summarizes the progress in research regarding oxidative stress in dementia with a focus on potential biomarkers in the cerebrospinal fluid (CSF) in the main forms of dementia. Other central and peripheral biomarkers, especially those considered oxidative stress related, are also discussed. This paper aims to provide information to improve current understanding of the pathogenesis and progression of dementia. It also offers insight into the differential diagnosis of AD and DLB.
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Affiliation(s)
- Peizhong Mao
- The Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, 505 NW 185th Avenue, Beaverton, OR 97006, USA
- The Departments of Physiology and Pharmacology, Public Health and Preventive Medicine, Oregon Health & Science University, Portland, OR 97239, USA
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Figurski MJ, Waligórska T, Toledo J, Vanderstichele H, Korecka M, Lee VMY, Trojanowski JQ, Shaw LM. Improved protocol for measurement of plasma β-amyloid in longitudinal evaluation of Alzheimer's Disease Neuroimaging Initiative study patients. Alzheimers Dement 2012; 8:250-60. [PMID: 22748936 PMCID: PMC3732031 DOI: 10.1016/j.jalz.2012.01.001] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2011] [Revised: 12/23/2011] [Accepted: 01/10/2012] [Indexed: 02/09/2023]
Abstract
BACKGROUND The interassay variability and inconsistency of plasma β-amyloid (Aβ) measurements among centers are major factors precluding the interpretation of results and a substantial obstacle in the meta-analysis across studies of this biomarker. The goal of this investigation was to address these problems by improving the performance of the bioanalytical method. METHODS We used the Luminex immunoassay platform with a multiplex microsphere-based reagent kit from Innogenetics. A robotic pipetting system was used to perform crucial steps of the procedure. The performance of this method was evaluated using two kit control samples and two quality control plasma samples from volunteer donors, and by retesting previously assayed patient samples in each run. This setup was applied to process 2454 patient plasma samples from the Alzheimer's Disease Neuroimaging Initiative study biofluid repository. We have additionally evaluated the correlations between our results and cerebrospinal fluid (CSF) biomarker data using mixed-effects modeling. RESULTS The average precision values of the kit controls were 8.3% for Aβ(1-40) and 4.0% for Aβ(1-42), whereas the values for the plasma quality controls were 6.4% for Aβ(1-40) and 4.8% for Aβ(1-42). From the test-retest evaluation, the average precision was 7.2% for Aβ(1-40) and 4.5% for Aβ(1-42). The range of final plasma results for Alzheimer's Disease Neuroimaging Initiative patients was 13 to 372 pg/mL (median: 164 pg/mL) for Aβ(1-40) and 3.5 to 103 pg/mL (median: 39.3 pg/mL) for Aβ(1-42). We found that sample collection parameters (blood volume and time to freeze) have a small, but significant, influence on the result. No significant difference was found between plasma Aβ levels for patients with Alzheimer's disease and healthy control subjects. We have determined multiple significant correlations of plasma Aβ(1-42) levels with CSF biomarkers. The relatively strongest, although modest, correlation was found between plasma Aβ(1-42) levels and CSF p-tau(181)/Aβ(1-42) ratio in patients with mild cognitive impairment. Plasma Aβ(1-40) correlations with CSF biomarkers were weaker and diminished completely when we used longitudinal data. No significant correlations were found for the plasma Aβ(1-42)/Aβ(1-40) ratio. CONCLUSIONS The precision of our robotized method represents a substantial improvement over results reported in the literature. Multiple significant correlations between plasma and CSF biomarkers were found. Although these correlations are not strong enough to support the use of plasma Aβ measurement as a diagnostic screening test, plasma Aβ(1-42) levels are well suited for use as a pharmacodynamic marker.
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Affiliation(s)
- Michal J. Figurski
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Perelman Medical Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Teresa Waligórska
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Perelman Medical Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Jon Toledo
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Perelman Medical Center, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Magdalena Korecka
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Perelman Medical Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia M. Y. Lee
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Perelman Medical Center, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Perelman Medical Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Perelman Medical Center, University of Pennsylvania, Philadelphia, PA, USA
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30
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Toledo JB, Vanderstichele H, Figurski M, Aisen PS, Petersen RC, Weiner MW, Jack CR, Jagust W, Decarli C, Toga AW, Toledo E, Xie SX, Lee VMY, Trojanowski JQ, Shaw LM. Factors affecting Aβ plasma levels and their utility as biomarkers in ADNI. Acta Neuropathol 2011; 122:401-13. [PMID: 21805181 PMCID: PMC3299300 DOI: 10.1007/s00401-011-0861-8] [Citation(s) in RCA: 138] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2011] [Revised: 07/13/2011] [Accepted: 07/13/2011] [Indexed: 01/18/2023]
Abstract
Previous studies of Aβ plasma as a biomarker for Alzheimer's disease (AD) obtained conflicting results. We here included 715 subjects with baseline Aβ(1-40) and Aβ(1-42) plasma measurement (50% with 4 serial annual measurements): 205 cognitively normal controls (CN), 348 patients mild cognitive impairment (MCI) and 162 with AD. We assessed the factors that modified their concentrations and correlated these values with PIB PET, MRI and tau and Aβ(1-42) measures in cerebrospinal fluid (CSF). Association between Aβ and diagnosis (baseline and prospective) was assessed. A number of health conditions were associated with altered concentrations of plasma Aβ. The effect of age differed according to AD stage. Plasma Aβ(1-42) showed mild correlation with other biomarkers of Aβ pathology and were associated with infarctions in MRI. Longitudinal measurements of Aβ(1-40) and Aβ(1-42) plasma levels showed modest value as a prognostic factor for clinical progression. Our longitudinal study of complementary measures of Aβ pathology (PIB, CSF and plasma Aβ) and other biomarkers in a cohort with an extensive neuropsychological battery is significant because it shows that plasma Aβ measurements have limited value for disease classification and modest value as prognostic factors over the 3-year follow-up. However, with longer follow-up, within subject plasma Aβ measurements could be used as a simple and minimally invasive screen to identify those at increased risk for AD. Our study emphasizes the need for a better understanding of the biology and dynamics of plasma Aβ as well as the need for longer term studies to determine the clinical utility of measuring plasma Aβ.
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Affiliation(s)
- Jon B. Toledo
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, HUP, Maloney, 3rd (JQT) or 7th (LMS) Floor, 36th and Spruce Streets, Philadelphia, PA 19104-4283, USA
| | | | - Michal Figurski
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, HUP, Maloney, 3rd (JQT) or 7th (LMS) Floor, 36th and Spruce Streets, Philadelphia, PA 19104-4283, USA
| | - Paul S. Aisen
- University of California at San Diego, San Diego, CA 92093, USA
| | | | - Michael W. Weiner
- Department of Radiology Medicine and Psychiatry, University of California at San Francisco, San Francisco, CA, USA
| | | | - William Jagust
- Helen Wills Neuroscience Institute University of California, Berkeley, CA, USA
| | - Charles Decarli
- Department of Neurology, University of California, Sacramento, CA, USA
| | - Arthur W. Toga
- Laboratory of Neuro Imaging, Department of Neurology, University of California at Los Angeles School of Medicine, Los Angeles, CA, USA
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, Medical School, Clinica Universidad de Navarra, University of Navarra, Pamplona, Spain
| | - Sharon X. Xie
- Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Virginia M.-Y. Lee
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, HUP, Maloney, 3rd (JQT) or 7th (LMS) Floor, 36th and Spruce Streets, Philadelphia, PA 19104-4283, USA
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, HUP, Maloney, 3rd (JQT) or 7th (LMS) Floor, 36th and Spruce Streets, Philadelphia, PA 19104-4283, USA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, HUP, Maloney, 3rd (JQT) or 7th (LMS) Floor, 36th and Spruce Streets, Philadelphia, PA 19104-4283, USA
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31
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Vermeiren Y, Le Bastard N, Clark CM, Engelborghs S, De Deyn PP. Serum glutamine synthetase has no value as a diagnostic biomarker for Alzheimer's disease. Neurochem Res 2011; 36:1858-62. [PMID: 21597934 DOI: 10.1007/s11064-011-0504-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/10/2011] [Indexed: 11/25/2022]
Abstract
In order to test whether serum glutamine synthetase (GS) is of potential diagnostic value for Alzheimer's disease (AD), we set up a study to compare serum GS concentrations between AD patients and control subjects. The study population (n = 165) consisted of AD patients (n = 94) and age-matched (n = 41) and age-unmatched (n = 30) control subjects. Serum GS analysis was performed by means of ELISA. No significant differences in serum GS levels were found between the AD group and age-matched controls. Age correlated positively with serum GS concentrations in AD patients and control subjects. This study suggests that serum GS levels have no diagnostic value for AD.
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Affiliation(s)
- Yannick Vermeiren
- Laboratory of Neurochemistry and Behavior, Reference Center for Biological Markers of Memory Disorders, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Wilrijk, Belgium
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