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Wesenhagen KE, Gobom J, Bos I, Vos SJ, Martinez‐Lage P, Popp J, Tsolaki M, Vandenberghe R, Freund‐Levi Y, Verhey F, Lovestone S, Streffer J, Dobricic V, Bertram L, Blennow K, Pikkarainen M, Hallikainen M, Kuusisto J, Laakso M, Soininen H, Scheltens P, Zetterberg H, Teunissen CE, Visser PJ, Tijms BM. Effects of age, amyloid, sex, and APOE ε4 on the CSF proteome in normal cognition. Alzheimers Dement (Amst) 2022; 14:e12286. [PMID: 35571963 PMCID: PMC9074716 DOI: 10.1002/dad2.12286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 11/30/2021] [Accepted: 12/03/2021] [Indexed: 11/07/2022]
Abstract
Introduction It is important to understand which biological processes change with aging, and how such changes are associated with increased Alzheimer's disease (AD) risk. We studied how cerebrospinal fluid (CSF) proteomics changed with age and tested if associations depended on amyloid status, sex, and apolipoprotein E Ɛ4 genotype. Methods We included 277 cognitively intact individuals aged 46 to 89 years from Alzheimer's Disease Neuroimaging Initiative, European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery, and Metabolic Syndrome in Men. In total, 1149 proteins were measured with liquid chromatography mass spectrometry with multiple reaction monitoring/Rules-Based Medicine, tandem mass tag mass spectrometry, and SOMAscan. We tested associations between age and protein levels in linear models and tested enrichment for Reactome pathways. Results Levels of 252 proteins increased with age independently of amyloid status. These proteins were associated with immune and signaling processes. Levels of 21 proteins decreased with older age exclusively in amyloid abnormal participants and these were enriched for extracellular matrix organization. Discussion We found amyloid-independent and -dependent CSF proteome changes with older age, perhaps representing physiological aging and early AD pathology.
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Affiliation(s)
- Kirsten E.J. Wesenhagen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Johan Gobom
- Clinical Neurochemistry Lab, Institute of Neuroscience and PhysiologySahlgrenska University HospitalMölndalSweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyUniversity of GothenburgMölndalSweden
| | | | - Stephanie J.B. Vos
- Alzheimer Center Limburg, School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | - Pablo Martinez‐Lage
- Center for Research and Advanced TherapiesCITA‐Alzheimers FoundationDonostia‐San SebastianSpain
| | - Julius Popp
- Geriatric Psychiatry, Department of Mental Health and PsychiatryGeneva University HospitalsGenevaSwitzerland
- Department of PsychiatryUniversity Hospital of LausanneLausanneSwitzerland
| | - Magda Tsolaki
- 1st Department of Neurology, AHEPA University Hospital, Medical School, Faculty of Health SciencesAristotle University of ThessalonikiMakedoniaThessalonikiGreece
| | - Rik Vandenberghe
- Neurology ServiceUniversity Hospitals LeuvenLeuvenBelgium
- Laboratory for Cognitive Neurology, Department of NeurosciencesKU LeuvenLeuvenBelgium
| | - Yvonne Freund‐Levi
- Department of Neurobiology, Care Sciences and Society, Division of NeurogeriatricsKarolinska InstitutetStockholmSweden
- School of Medical Sciences Örebro University and Dep of Psychiatry Örebro University HospitalÖrebroSweden
| | - Frans Verhey
- Alzheimer Center Limburg, School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | - Simon Lovestone
- Janssen‐cilagHigh WycombeUK
- (at the time of study conduct)University of OxfordOxfordUK
| | - Johannes Streffer
- formerly Janssen R&D, LLC, Beerse, Belgium (at the time of study conduct)AC Immune SALausanneSwitzerland
- Department of Biomedical SciencesUniversity of AntwerpAntwerpBelgium
| | | | - Lars Bertram
- Lübeck UniversityLübeckGermany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of PsychologyUniversity of OsloOsloNorway
| | | | - Kaj Blennow
- Clinical Neurochemistry Lab, Institute of Neuroscience and PhysiologySahlgrenska University HospitalMölndalSweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyUniversity of GothenburgMölndalSweden
| | - Maria Pikkarainen
- Institute of Clinical Medicine, NeurologyUniversity of Eastern FinlandKuopioFinland
| | - Merja Hallikainen
- Institute of Clinical MedicineInternal Medicineand Kuopio University HospitalUniversity of Eastern FinlandKuopioFinland
| | - Johanna Kuusisto
- Institute of Clinical MedicineInternal Medicineand Kuopio University HospitalUniversity of Eastern FinlandKuopioFinland
| | - Markku Laakso
- Institute of Clinical MedicineInternal Medicineand Kuopio University HospitalUniversity of Eastern FinlandKuopioFinland
| | - Hilkka Soininen
- Institute of Clinical Medicine, NeurologyUniversity of Eastern FinlandKuopioFinland
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Henrik Zetterberg
- Clinical Neurochemistry Lab, Institute of Neuroscience and PhysiologySahlgrenska University HospitalMölndalSweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyUniversity of GothenburgMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research InstituteLondonUK
| | - Charlotte E. Teunissen
- Neurochemistry Lab, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMCVrije UniversiteitAmsterdamthe Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Alzheimer Center Limburg, School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
- Department of Neurobiology, Care Sciences and Society, Division of NeurogeriatricsKarolinska InstitutetStockholmSweden
| | - Betty M. Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
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2
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van Waalwijk van Doorn LJC, Ghafoorian M, van Leijsen EMC, Claassen JAHR, Arighi A, Bozzali M, Cannas J, Cavedo E, Eusebi P, Farotti L, Fenoglio C, Fortea J, Frisoni GB, Galimberti D, Greco V, Herukka SK, Liu Y, Lleó A, de Mendonça A, Nobili FM, Parnetti L, Picco A, Pikkarainen M, Salvadori N, Scarpini E, Soininen H, Tarducci R, Urbani A, Vilaplana E, Meulenbroek O, Platel B, Verbeek MM, Kuiperij HB. White Matter Hyperintensities Are No Major Confounder for Alzheimer's Disease Cerebrospinal Fluid Biomarkers. J Alzheimers Dis 2021; 79:163-175. [PMID: 33252070 PMCID: PMC7902951 DOI: 10.3233/jad-200496] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background: The cerebrospinal fluid (CSF) biomarkers amyloid-β 1–42 (Aβ42), total and phosphorylated tau (t-tau, p-tau) are increasingly used to assist in the clinical diagnosis of Alzheimer’s disease (AD). However, CSF biomarker levels can be affected by confounding factors. Objective: To investigate the association of white matter hyperintensities (WMHs) present in the brain with AD CSF biomarker levels. Methods: We included CSF biomarker and magnetic resonance imaging (MRI) data of 172 subjects (52 controls, 72 mild cognitive impairment (MCI), and 48 AD patients) from 9 European Memory Clinics. A computer aided detection system for standardized automated segmentation of WMHs was used on MRI scans to determine WMH volumes. Association of WMH volume with AD CSF biomarkers was determined using linear regression analysis. Results: A small, negative association of CSF Aβ42, but not p-tau and t-tau, levels with WMH volume was observed in the AD (r2 = 0.084, p = 0.046), but not the MCI and control groups, which was slightly increased when including the distance of WMHs to the ventricles in the analysis (r2 = 0.105, p = 0.025). Three global patterns of WMH distribution, either with 1) a low, 2) a peak close to the ventricles, or 3) a high, broadly-distributed WMH volume could be observed in brains of subjects in each diagnostic group. Conclusion: Despite an association of WMH volume with CSF Aβ42 levels in AD patients, the occurrence of WMHs is not accompanied by excess release of cellular proteins in the CSF, suggesting that WMHs are no major confounder for AD CSF biomarker assessment.
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Affiliation(s)
- Linda J C van Waalwijk van Doorn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mohsen Ghafoorian
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Esther M C van Leijsen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jurgen A H R Claassen
- Department of Geriatrics, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Andrea Arighi
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy
| | - Marco Bozzali
- IRCCS Fondazione Santa Lucia, Rome, Italy.,Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Jorge Cannas
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Enrica Cavedo
- Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France; Qynapse, Paris, France
| | - Paolo Eusebi
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Lucia Farotti
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | | | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Giovanni B Frisoni
- Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,University Hospitals and University of Geneva, Geneva, Switzerland
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,University of Milan, Dino Ferrari Center, Milan, Italy
| | - Viviana Greco
- Fondazione Policlinica Universitario "A. Gemelli" -IRCCS, Rome, Italy.,Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Università Cattolica, Rome, Italy
| | - Sanna-Kaisa Herukka
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Yawu Liu
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | | | - Flavio M Nobili
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Lucilla Parnetti
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Agnese Picco
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Maria Pikkarainen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Nicola Salvadori
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Elio Scarpini
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,University of Milan, Dino Ferrari Center, Milan, Italy
| | - Hilkka Soininen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Roberto Tarducci
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Andrea Urbani
- Fondazione Policlinica Universitario "A. Gemelli" -IRCCS, Rome, Italy.,Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Università Cattolica, Rome, Italy
| | - Eduard Vilaplana
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Olga Meulenbroek
- Department of Geriatrics, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Bram Platel
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - H Bea Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
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3
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Dake MD, De Marco M, Blackburn DJ, Wilkinson ID, Remes A, Liu Y, Pikkarainen M, Hallikainen M, Soininen H, Venneri A. Obesity and Brain Vulnerability in Normal and Abnormal Aging: A Multimodal MRI Study. J Alzheimers Dis Rep 2021; 5:65-77. [PMID: 33681718 PMCID: PMC7903016 DOI: 10.3233/adr-200267] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background: How the relationship between obesity and MRI-defined neural properties varies across distinct stages of cognitive impairment due to Alzheimer’s disease is unclear. Objective: We used multimodal neuroimaging to clarify this relationship. Methods: Scans were acquired from 47 patients clinically diagnosed with mild Alzheimer’s disease dementia, 68 patients with mild cognitive impairment, and 57 cognitively healthy individuals. Voxel-wise associations were run between maps of gray matter volume, white matter integrity, and cerebral blood flow, and global/visceral obesity. Results: Negative associations were found in cognitively healthy individuals between obesity and white matter integrity and cerebral blood flow of temporo-parietal regions. In mild cognitive impairment, negative associations emerged in frontal, temporal, and brainstem regions. In mild dementia, a positive association was found between obesity and gray matter volume around the right temporoparietal junction. Conclusion: Obesity might contribute toward neural tissue vulnerability in cognitively healthy individuals and mild cognitive impairment, while a healthy weight in mild Alzheimer’s disease dementia could help preserve brain structure in the presence of age and disease-related weight loss.
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Affiliation(s)
- Manmohi D Dake
- Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Matteo De Marco
- Department of Neuroscience, University of Sheffield, Sheffield, UK
| | | | - Iain D Wilkinson
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - Anne Remes
- Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Yawu Liu
- Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Maria Pikkarainen
- Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Merja Hallikainen
- Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Hilkka Soininen
- Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Sheffield, UK
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4
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Dake MD, De Marco M, Wilkinson I, Teh K, Mitolo M, Remes A, Liu Y, Pikkarainen M, Soininen H, Venneri A. Exploring the effect of type 2 diabetes on brain structure and cerebral perfusion in patients with early Alzheimer’s disease. Alzheimers Dement 2020. [DOI: 10.1002/alz.039401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
| | | | | | - Kevin Teh
- University of Sheffield Sheffield United Kingdom
| | | | - Anne Remes
- Institute of Clinical Medicine/Neurology University of Eastern Finland Kuopio Finland
| | - Yawu Liu
- Kuopio University Hospital Kuopio Finland
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5
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Jääskeläinen O, Solje E, Hall A, Katisko K, Korhonen V, Tiainen M, Kangas AJ, Helisalmi S, Pikkarainen M, Koivisto A, Hartikainen P, Hiltunen M, Ala-Korpela M, Soininen H, Soininen P, Haapasalo A, Remes AM, Herukka SK. Low Serum High-Density Lipoprotein Cholesterol Levels Associate with the C9orf72 Repeat Expansion in Frontotemporal Lobar Degeneration Patients. J Alzheimers Dis 2020; 72:127-137. [PMID: 31561355 PMCID: PMC6839456 DOI: 10.3233/jad-190132] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Decreased levels of serum high-density lipoprotein (HDL) cholesterol have previously been linked to systemic inflammation and neurodegenerative diseases, such as Alzheimer’s disease. Here, we aimed to analyze the lipoprotein profile and inflammatory indicators, the high-sensitivity C-reactive peptide (hs-CRP) and glycoprotein acetyls (GlycA), in sporadic and C9orf72 repeat expansion-associated frontotemporal lobar degeneration (FTLD) patients. The C9orf72 hexanucleotide repeat expansion is the most frequent genetic etiology underlying FTLD. The concentrations of different lipid measures in the sera of 67 FTLD patients (15 C9orf72 repeat expansion carriers), including GlycA, were analyzed by nuclear magnetic resonance spectroscopy. To verify the state of systemic inflammation, hs-CRP was also quantified from patient sera. We found that the total serum HDL concentration was decreased in C9orf72 repeat expansion carriers when compared to non-carriers. Moreover, decreased concentrations of HDL particles of different sizes and subclass were consistently observed. No differences were detected in the very low- and low-density lipoprotein subclasses between the C9orf72 repeat expansion carriers and non-carriers. Furthermore, hs-CRP and GlycA levels did not differ between the C9orf72 repeat expansion carriers and non-carriers. In conclusion, the HDL-related changes were linked with C9orf72 repeat expansion associated FTLD but were not seen to associate with systemic inflammation. The underlying reason for the HDL changes remains unclear.
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Affiliation(s)
- Olli Jääskeläinen
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Eino Solje
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Neuro Center, Kuopio University Hospital, Kuopio, Finland
| | - Anette Hall
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Kasper Katisko
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Ville Korhonen
- Neuro Center, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine - Neurosurgery, University of Eastern Finland, Kuopio, Finland
| | - Mika Tiainen
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Antti J Kangas
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
| | - Seppo Helisalmi
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Maria Pikkarainen
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Anne Koivisto
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Neuro Center, Kuopio University Hospital, Kuopio, Finland
| | | | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Mika Ala-Korpela
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.,Systems Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.,Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, The Alfred Hospital, Monash University, Melbourne, VIC, Australia
| | - Hilkka Soininen
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Neuro Center, Kuopio University Hospital, Kuopio, Finland
| | - Pasi Soininen
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Annakaisa Haapasalo
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Anne M Remes
- Medical Research Center, Oulu University Hospital, Oulu, Finland.,Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Neuro Center, Kuopio University Hospital, Kuopio, Finland
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6
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Rhodius‐Meester HF, Paajanen T, Koikkalainen J, Mahdiani S, Bruun M, Baroni M, Lemstra AW, Scheltens P, Herukka S, Pikkarainen M, Hall A, Hänninen T, Ngandu T, Kivipelto M, van Gils M, Hasselbalch SG, Mecocci P, Remes A, Soininen H, van der Flier WM, Lötjönen J. cCOG: A web-based cognitive test tool for detecting neurodegenerative disorders. Alzheimers Dement (Amst) 2020; 12:e12083. [PMID: 32864411 PMCID: PMC7446945 DOI: 10.1002/dad2.12083] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 07/13/2020] [Accepted: 07/13/2020] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Web-based cognitive tests have potential for standardized screening in neurodegenerative disorders. We examined accuracy and consistency of cCOG, a computerized cognitive tool, in detecting mild cognitive impairment (MCI) and dementia. METHODS Clinical data of 306 cognitively normal, 120 mild cognitive impairment (MCI), and 69 dementia subjects from three European cohorts were analyzed. Global cognitive score was defined from standard neuropsychological tests and compared to the corresponding estimated score from the cCOG tool containing seven subtasks. The consistency of cCOG was assessed comparing measurements administered in clinical settings and in the home environment. RESULTS cCOG produced accuracies (receiver operating characteristic-area under the curve [ROC-AUC]) between 0.71 and 0.84 in detecting MCI and 0.86 and 0.94 in detecting dementia when administered at the clinic and at home. The accuracy was comparable to the results of standard neuropsychological tests (AUC 0.69-0.77 MCI/0.91-0.92 dementia). DISCUSSION cCOG provides a promising tool for detecting MCI and dementia with potential for a cost-effective approach including home-based cognitive assessments.
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Affiliation(s)
- Hanneke F.M. Rhodius‐Meester
- Department of NeurologyAlzheimer Center AmsterdamAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Internal MedicineGeriatric Medicine SectionVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Teemu Paajanen
- Research and Service CentreFinnish Institute of Occupational HealthHelsinkiFinland
| | | | - Shadi Mahdiani
- VTT Technical Research Centre of Finland LtdTampereFinland
| | - Marie Bruun
- Department of NeurologyDanish Dementia Research CentreRigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | - Marta Baroni
- Section of Gerontology and GeriatricsUniversity of PerugiaPerugiaItaly
| | - Afina W. Lemstra
- Department of NeurologyAlzheimer Center AmsterdamAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Philip Scheltens
- Department of NeurologyAlzheimer Center AmsterdamAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Sanna‐Kaisa Herukka
- Department of NeurologyUniversity of Eastern FinlandKuopioFinland
- Department of NeurologyNeurocenterKuopio University HospitalKuopioFinland
| | | | - Anette Hall
- Department of NeurologyUniversity of Eastern FinlandKuopioFinland
| | - Tuomo Hänninen
- Department of NeurologyNeurocenterKuopio University HospitalKuopioFinland
| | - Tiia Ngandu
- Finnish Institute for Health and WelfareHelsinkiFinland
- Department of Clinical GeriatricsKarolinska InstitutetNVSCenter for Alzheimer ResearchStockholmSweden
| | - Miia Kivipelto
- Department of NeurologyUniversity of Eastern FinlandKuopioFinland
- Finnish Institute for Health and WelfareHelsinkiFinland
- Department of Clinical GeriatricsKarolinska InstitutetNVSCenter for Alzheimer ResearchStockholmSweden
| | - Mark van Gils
- VTT Technical Research Centre of Finland LtdTampereFinland
| | - Steen Gregers Hasselbalch
- Department of NeurologyDanish Dementia Research CentreRigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | - Patrizia Mecocci
- Section of Gerontology and GeriatricsUniversity of PerugiaPerugiaItaly
| | - Anne Remes
- Unit of Clinical NeuroscienceNeurology and Medical Research CenterUniversity of OuluOuluFinland
| | - Hilkka Soininen
- Department of NeurologyUniversity of Eastern FinlandKuopioFinland
- Department of NeurologyNeurocenterKuopio University HospitalKuopioFinland
| | - Wiesje M. van der Flier
- Department of NeurologyAlzheimer Center AmsterdamAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Epidemiology and BiostatisticsVU University Medical CentreAmsterdamthe Netherlands
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7
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Jääskeläinen O, Hall A, Tiainen M, van Gils M, Lötjönen J, Kangas AJ, Helisalmi S, Pikkarainen M, Hallikainen M, Koivisto A, Hartikainen P, Hiltunen M, Ala-Korpela M, Soininen P, Soininen H, Herukka SK. Metabolic Profiles Help Discriminate Mild Cognitive Impairment from Dementia Stage in Alzheimer's Disease. J Alzheimers Dis 2020; 74:277-286. [PMID: 32007958 PMCID: PMC7175942 DOI: 10.3233/jad-191226] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/31/2019] [Indexed: 01/02/2023]
Abstract
Accurate differentiation between neurodegenerative diseases is developing quickly and has reached an effective level in disease recognition. However, there has been less focus on effectively distinguishing the prodromal state from later dementia stages due to a lack of suitable biomarkers. We utilized the Disease State Index (DSI) machine learning classifier to see how well quantified metabolomics data compares to clinically used cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD). The metabolic profiles were quantified for 498 serum and CSF samples using proton nuclear magnetic resonance spectroscopy. The patient cohorts in this study were dementia (with a clinical AD diagnosis) (N = 359), mild cognitive impairment (MCI) (N = 96), and control patients with subjective memory complaints (N = 43). DSI classification was conducted for MCI (N = 51) and dementia (N = 214) patients with low CSF amyloid-β levels indicating AD pathology and controls without such amyloid pathology (N = 36). We saw that the conventional CSF markers of AD were better at classifying controls from both dementia and MCI patients. However, quantified metabolic subclasses were more effective in classifying MCI from dementia. Our results show the consistent effectiveness of traditional CSF biomarkers in AD diagnostics. However, these markers are relatively ineffective in differentiating between MCI and the dementia stage, where the quantified metabolomics data provided significant benefit.
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Affiliation(s)
- Olli Jääskeläinen
- Institute of Clinical Medicine – Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Anette Hall
- Institute of Clinical Medicine – Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Mika Tiainen
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Mark van Gils
- VTT Technical Research Centre of Finland Ltd, Tampere, Finland
| | | | - Antti J. Kangas
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
| | - Seppo Helisalmi
- Institute of Clinical Medicine – Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Maria Pikkarainen
- Institute of Clinical Medicine – Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Merja Hallikainen
- Institute of Clinical Medicine – Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | - Anne Koivisto
- Institute of Clinical Medicine – Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | | | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Mika Ala-Korpela
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Systems Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, The Alfred Hospital, Monash University, Melbourne, Victoria, Australia
| | - Pasi Soininen
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine – Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine – Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Neurocenter, Kuopio University Hospital, Kuopio, Finland
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8
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Haapalinna F, Kokki M, Jääskeläinen O, Hallikainen M, Helisalmi S, Koivisto A, Kokki H, Paajanen T, Penttinen J, Pikkarainen M, Rautiainen M, Soininen H, Solje E, Remes AM, Herukka SK. Subtle Cognitive Impairment and Alzheimer's Disease-Type Pathological Changes in Cerebrospinal Fluid are Common Among Neurologically Healthy Subjects. J Alzheimers Dis 2019; 62:165-174. [PMID: 29439329 DOI: 10.3233/jad-170534] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND The neuropathology of Alzheimer's disease (AD) has previously been shown to be rather common among the elderly. OBJECTIVE The aim of this study was to inspect the associations between cerebrospinal fluid (CSF) AD biomarker concentrations, age, the APOEɛ4 allele, cardiovascular diseases, diabetes, and cognitive performance in a cohort of a neurologically healthy population. METHODS This study included 93 subjects (42 men, mean age 67 years) without previous neurological symptoms or subjective cognitive complaints. Their cognition was assessed, and CSF biomarkers and APOEɛ4 status were analyzed. RESULTS Of the studied subjects, 8.6% (n = 8) had a pathological CSF AD biomarker profile. An increase in age correlated positively with CSF tau pathology and negatively with global cognitive performance. CONCLUSION AD-type pathological changes in CSF and subtle cognitive impairment are common within a population with no previous memory complaints. Age was the main risk factor for the changes.
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Affiliation(s)
- Fanni Haapalinna
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Merja Kokki
- Department of Anesthesia and Operative Services, Kuopio University Hospital, Kuopio, Finland
| | - Olli Jääskeläinen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Merja Hallikainen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Seppo Helisalmi
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Anne Koivisto
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Hannu Kokki
- Institute of Clinical Medicine, Anesthesiology and Intensive Care, University of Eastern Finland, Kuopio, Finland
| | - Teemu Paajanen
- Research and Service Centre for Occupational Health, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Janne Penttinen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Maria Pikkarainen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Minna Rautiainen
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Eino Solje
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Anne M Remes
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland.,Medical Research Center, Oulu University Hospital, Oulu, Finland.,Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
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9
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Reijs BLR, Vos SJB, Soininen H, Lötjonen J, Koikkalainen J, Pikkarainen M, Hall A, Vanninen R, Liu Y, Herukka SK, Freund-Levi Y, Frisoni GB, Frölich L, Nobili F, Rikkert MO, Spiru L, Tsolaki M, Wallin ÅK, Scheltens P, Verhey F, Visser PJ. Association Between Later Life Lifestyle Factors and Alzheimer's Disease Biomarkers in Non-Demented Individuals: A Longitudinal Descriptive Cohort Study. J Alzheimers Dis 2018; 60:1387-1395. [PMID: 29036813 DOI: 10.3233/jad-170039] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Lifestyle factors have been associated with the risk of dementia, but the association with Alzheimer's disease (AD) remains unclear. OBJECTIVE To examine the association between later life lifestyle factors and AD biomarkers (i.e., amyloid-β 1-42 (Aβ42) and tau in cerebrospinal fluid (CSF), and hippocampal volume) in individuals with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). In addition, to examine the effect of later life lifestyle factors on developing AD-type dementia in individuals with MCI. METHODS We selected individuals with SCD (n = 111) and MCI (n = 353) from the DESCRIPA and Kuopio Longitudinal MCI studies. CSF Aβ42 and tau concentrations were assessed with ELISA assay and hippocampal volume with multi-atlas segmentation. Lifestyle was assessed by clinical interview at baseline for: social activity, physical activity, cognitive activity, smoking, alcohol consumption, and sleep. We performed logistic and Cox regression analyses adjusted for study site, age, gender, education, and diagnosis. Prediction for AD-type dementia was performed in individuals with MCI only. RESULTS Later life lifestyle factors were not associated with AD biomarkers or with conversion to AD-type dementia. AD biomarkers were strongly associated with conversion to AD-type dementia, but these relations were not modulated by lifestyle factors. Apolipoprotein E (APOE) genotype did not influence the results. CONCLUSIONS Later life lifestyle factors had no impact on key AD biomarkers in individuals with SCD and MCI or on conversion to AD-type dementia in MCI.
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Affiliation(s)
- Babette L R Reijs
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Stephanie J B Vos
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Jyrki Lötjonen
- VTT Technical Research Centre of Finland, Tampere, Finland.,Combinostics Oy, Tampere, Finland
| | - Juha Koikkalainen
- VTT Technical Research Centre of Finland, Tampere, Finland.,Combinostics Oy, Tampere, Finland
| | - Maria Pikkarainen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
| | - Anette Hall
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
| | - Ritva Vanninen
- Department of Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Yawu Liu
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Yvonne Freund-Levi
- Department of NVS, Section of Clinical Geriatrics, Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden
| | | | - Lutz Frölich
- Department of Geriatric Psychiatry, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Flavio Nobili
- Department of Neuroscience (DINOGMI), Clinical Neurology, University of Genoa and IRCCS AOU San Martino-IST Genoa, Italy
| | - Marcel Olde Rikkert
- Department of Geriatrics, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Luiza Spiru
- Carol Davila' University of Medicine and Pharmacy, Bucharest, Romania
| | - Magda Tsolaki
- Aristotle University of Thessaloniki, Memory and Dementia Centre, G. Papanicolaore General Hospital, Thessaloniki, Greece
| | - Åsa K Wallin
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Sweden
| | - Philip Scheltens
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
| | - Frans Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands.,Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
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10
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Paajanen T, Mahdiani S, Bruun M, Baroni M, Rhodius‐ Meester HF, Lemstra AW, Herukka S, Pikkarainen M, Hänninen T, Ngandu T, Kivipelto M, Gils M, Hasselbalch SG, Mecocci P, Flier WM, Remes A, Soininen H, Lotjonen J. [P1–009]: DETECTING COGNITIVE DISORDERS USING THE MUISTIKKO WEB‐BASED COGNITIVE TEST BATTERY: VALIDATION IN THREE COHORTS. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Teemu Paajanen
- Finnish Institute of Occupational HealthHelsinkiFinland
- University of Eastern FinlandKuopioFinland
| | | | - Marie Bruun
- Danish Dementia Research CentreRigshospitaletCopenhagenDenmark
| | | | | | - Afina W. Lemstra
- Alzheimer Center and Department of Neurology, Amsterdam NeuroscienceVU University Medical CenterAmsterdamNetherlands
| | | | | | - Tuomo Hänninen
- Department of NeurologyKuopio University HospitalKuopioFinland
| | - Tiia Ngandu
- National Institute for Health and WelfareHelsinkiFinland
| | - Miia Kivipelto
- National Institute for Health and WelfareHelsinkiFinland
- Karolinska Institutet‐Stockholm UniversityStockholmSweden
| | - Mark Gils
- VTT Technical Research Centre of FinlandTampereFinland
| | | | - Patrizia Mecocci
- Institute of Gerontology and GeriatricsDepartment of MedicineUniversity of PerugiaPerugiaItaly
| | - Wiesje M. Flier
- Alzheimer CenterDepartment of Neurology, Neuroscience Campus AmsterdamVU University Medical CenterAmsterdamNetherlands
- Department of Epidemiology and BiostatisticsVU University Medical CenterAmsterdamNetherlands
| | - Anne Remes
- University of Eastern FinlandKuopioFinland
| | - Hilkka Soininen
- Institute of Clinical Medicine/Neurology, University of Eastern FinlandKuopioFinland
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11
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Dake M, De Marco M, Blackburn DJ, Bell SM, Wilkinson I, Remes A, Liu Y, Pikkarainen M, Soininen H, Venneri A. [P3–464]: WAIST‐TO‐HIP RATIO RELATED GREY MATTER REDUCTIONS IN ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.1682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Manmohi Dake
- The University of SheffieldSheffieldUnited Kingdom
| | | | | | | | | | - Anne Remes
- University of Eastern FinlandKuopioFinland
| | - Yawu Liu
- University of Eastern FinlandKuopioFinland
- Kuopio University HospitalKuopioFinland
| | | | - Hilkka Soininen
- University of Eastern FinlandKuopioFinland
- Neurocenter, Neurology, Kuopio University HospitalKuopioFinland
- Institute of Clinical MedicineKuopioFinland
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12
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Paajanen T, Mahdiani S, Bruun M, Baroni M, Rhodius‐ Meester HFM, Lemstra AW, Herukka S, Pikkarainen M, Hänninen T, Ngandu T, Kivipelto M, Gils M, Hasselbalch SG, Mecocci P, Flier WM, Remes A, Soininen H, Lotjonen J. [P1–326]: DETECTING COGNITIVE DISORDERS USING MUISTIKKO WEB‐BASED COGNITIVE TEST BATTERY: VALIDATION IN THREE COHORTS. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Teemu Paajanen
- Finnish Institute of Occupational HealthHelsinkiFinland
- University of Eastern FinlandKuopioFinland
| | | | - Marie Bruun
- Danish Dementia Research CentreRigshospitaletCopenhagenDenmark
| | | | | | - Afina W. Lemstra
- Alzheimer Center and Department of Neurology, Amsterdam NeuroscienceVU University Medical CenterAmsterdamNetherlands
| | | | | | - Tuomo Hänninen
- Department of NeurologyKuopio University HospitalKuopioFinland
| | - Tiia Ngandu
- National Institute for Health and WelfareHelsinkiFinland
| | - Miia Kivipelto
- National Institute for Health and WelfareHelsinkiFinland
- Karolinska Institutet‐Stockholm UniversityStockholmSweden
| | - Mark Gils
- VTT Technical Research Centre of FinlandTampereFinland
| | | | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, Department of MedicineUniversity of PerugiaPerugiaItaly
| | - Wiesje M. Flier
- Alzheimer Center, Department of Neurology, Neuroscience Campus AmsterdamVU University Medical CenterAmsterdamNetherlands
- Department of Epidemiology and BiostatisticsVU University Medical CenterAmsterdamNetherlands
| | - Anne Remes
- University of Eastern FinlandKuopioFinland
| | - Hilkka Soininen
- Institute of Clinical Medicine/Neurology, University of Eastern FinlandKuopioFinland
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13
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Westwood S, Liu B, Baird AL, Anand S, Nevado-Holgado AJ, Newby D, Pikkarainen M, Hallikainen M, Kuusisto J, Streffer JR, Novak G, Blennow K, Andreasson U, Zetterberg H, Smith U, Laakso M, Soininen H, Lovestone S. The influence of insulin resistance on cerebrospinal fluid and plasma biomarkers of Alzheimer's pathology. Alzheimers Res Ther 2017; 9:31. [PMID: 28441961 PMCID: PMC5405532 DOI: 10.1186/s13195-017-0258-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 03/24/2017] [Indexed: 01/26/2023]
Abstract
Background Insulin resistance (IR) has previously been associated with an increased risk of developing Alzheimer’s disease (AD), although the relationship between IR and AD is not yet clear. Here, we examined the influence of IR on AD using plasma and cerebrospinal fluid (CSF) biomarkers related to IR and AD in cognitively healthy men. We also aimed to characterise the shared protein signatures between IR and AD. Methods Fifty-eight cognitively healthy men, 28 IR and 30 non-IR (age and APOE ε4 matched), were drawn from the Metabolic Syndrome in Men study in Kuopio, Finland. CSF AD biomarkers (amyloid β-peptide (Aβ), total tau and tau phosphorylated at the Thr181 epitope) were examined with respect to IR. Targeted proteomics using ELISA and Luminex xMAP assays were performed to assess the influence of IR on previously identified CSF and plasma protein biomarker candidates of AD pathology. Furthermore, CSF and plasma SOMAscan was performed to discover proteins that associate with IR and CSF AD biomarkers. Results CSF AD biomarkers did not differ between IR and non-IR groups, although plasma insulin correlated with CSF Aβ/tau across the whole cohort. In total, 200 CSF and 487 plasma proteins were differentially expressed between IR and non-IR subjects, and significantly enriched pathways, many of which have been previously implicated in AD, were identified. CSF and plasma proteins significantly associated with CSF AD biomarkers were also discovered, and those sensitive to both IR and AD were identified. Conclusions These data indicate that IR is not directly related to the level of CSF AD pathology in cognitively healthy men. Proteins that associated with both AD and IR are potential markers indicative of shared pathology. Electronic supplementary material The online version of this article (doi:10.1186/s13195-017-0258-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sarah Westwood
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK
| | - Benjamine Liu
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK
| | - Alison L Baird
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK
| | - Sneha Anand
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK
| | | | - Danielle Newby
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK
| | - Maria Pikkarainen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, 70211, Kuopio, Finland
| | - Merja Hallikainen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, 70211, Kuopio, Finland
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, 70211, Kuopio, Finland
| | - Johannes R Streffer
- Janssen Research and Development, Janssen Pharmaceutics NV, Turnhoutseweg 30, 2340, Beerse, Belgium
| | - Gerald Novak
- Janssen Pharmaceutical Research and Development, 1125 Trenton-Harbourton Road, Titusville, NJ, 08560, USA
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, SE-431 80, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden
| | - Ulf Andreasson
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, SE-431 80, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, SE-431 80, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden.,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Ulf Smith
- Lundberg Laboratory for Diabetes Research, Department of Molecular and Clinical Medicine, Sahlgrenska Academy at the University of Gothenburg, 405 30, Gothenburg, Sweden
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, 70211, Kuopio, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, 70211, Kuopio, Finland.,Neurocenter, Neurology, Kuopio University Hospital, 70211, Kuopio, Finland
| | - Simon Lovestone
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK.
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14
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Suhonen NM, Hallikainen I, Hänninen T, Jokelainen J, Krüger J, Hall A, Pikkarainen M, Soininen H, Remes AM. The Modified Frontal Behavioral Inventory (FBI-mod) for Patients with Frontotemporal Lobar Degeneration, Alzheimer’s Disease, and Mild Cognitive Impairment. J Alzheimers Dis 2017; 56:1241-1251. [DOI: 10.3233/jad-160983] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Noora-Maria Suhonen
- Medical Research Center, Oulu University Hospital, Oulu, Finland
- Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
| | - Ilona Hallikainen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Tuomo Hänninen
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Jari Jokelainen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
| | - Johanna Krüger
- Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Anette Hall
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Maria Pikkarainen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Anne M. Remes
- Medical Research Center, Oulu University Hospital, Oulu, Finland
- Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
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15
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van Waalwijk van Doorn LJ, Gispert JD, Kuiperij HB, Claassen JA, Arighi A, Baldeiras I, Blennow K, Bozzali M, Castelo-Branco M, Cavedo E, Emek-Savaş DD, Eren E, Eusebi P, Farotti L, Fenoglio C, Ormaechea JF, Freund-Levi Y, Frisoni GB, Galimberti D, Genc S, Greco V, Hampel H, Herukka SK, Liu Y, Lladó A, Lleó A, Nobili FM, Oguz KK, Parnetti L, Pereira J, Picco A, Pikkarainen M, de Oliveira CR, Saka E, Salvadori N, Sanchez-Valle R, Santana I, Scarpini E, Scheltens P, Soininen H, Tarducci R, Teunissen C, Tsolaki M, Urbani A, Vilaplana E, Visser PJ, Wallin AK, Yener G, Molinuevo JL, Meulenbroek O, Verbeek MM. Improved Cerebrospinal Fluid-Based Discrimination between Alzheimer’s Disease Patients and Controls after Correction for Ventricular Volumes. J Alzheimers Dis 2017; 56:543-555. [DOI: 10.3233/jad-160668] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Linda J.C. van Waalwijk van Doorn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Juan D. Gispert
- Barcelona Beta Brain Research Centre, Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain
- Pompeu Fabra University, Barcelona, Spain
| | - H. Bea Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jurgen A.H.R. Claassen
- Department of Geriatrics, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Andrea Arighi
- University of Milan, Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Inês Baldeiras
- Center for Neuroscience and Cell Biology (CNC.IBILI), Faculty of Medicine, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Marco Bozzali
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Miguel Castelo-Branco
- Institute for Biomedical Imaging and Life Sciences (CNC.IBILI) and ICNAS (Institute for Nuclear Sciences Applied to Health), University of Coimbra, Portugal
| | - Enrica Cavedo
- AXA Research Fund and UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, F-75013, Paris, France
| | - Derya D. Emek-Savaş
- Department of Psychology, The Faculty of Arts, Department of Neurosciences, The Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Erden Eren
- Izmir Biomedicine and Genome Institute, Department of Neurosciences, The Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Paolo Eusebi
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Lucia Farotti
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Chiara Fenoglio
- University of Milan, Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | | | - Yvonne Freund-Levi
- Department of Neurobiology, Caring Sciences and Society (NVS), Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
- Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Giovanni B. Frisoni
- Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- University Hospitals and University of Geneva, Geneva, Switzerland
| | - Daniela Galimberti
- University of Milan, Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Sermin Genc
- Izmir Biomedicine and Genome Institute, Department of Neurosciences, The Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Viviana Greco
- Proteomics and Metabolomics Unit, IRCCS-Fondazione Santa Lucia, Rome, Italy
| | - Harald Hampel
- AXA Research Fund and UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, F-75013, Paris, France
| | - Sanna-Kaisa Herukka
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Yawu Liu
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Albert Lladó
- Alzheimer’s disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Alberto Lleó
- Neurology Department, Hospital de Sant Pau, Barcelona, Spain
| | - Flavio M. Nobili
- Clinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy
| | - Kader K. Oguz
- Hacettepe University, Faculty of Medicine, Department of Neurology, Sihhiye, Ankara, Turkey
| | - Lucilla Parnetti
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - João Pereira
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Agnese Picco
- Clinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy
| | - Maria Pikkarainen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Catarina Resende de Oliveira
- Center for Neuroscience and Cell Biology (CNC.IBILI), Faculty of Medicine, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Esen Saka
- Hacettepe University, Faculty of Medicine, Department of Neurology, Sihhiye, Ankara, Turkey
| | - Nicola Salvadori
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Raquel Sanchez-Valle
- Alzheimer’s disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Isabel Santana
- Center for Neuroscience and Cell Biology (CNC.IBILI), Faculty of Medicine, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Elio Scarpini
- University of Milan, Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Philip Scheltens
- Alzheimer center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
- Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
| | - Hilkka Soininen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Roberto Tarducci
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Charlotte Teunissen
- Department of Clinical Chemistry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
| | - Magda Tsolaki
- Aristotle University of Thessaloniki, Memory and Dementia Center, 3rd Department of Neurology, “G Papanicolaou” General Hospital, Thessaloniki, Greece
| | - Andrea Urbani
- Proteomics and Metabolomics Unit, IRCCS-Fondazione Santa Lucia, Rome, Italy
- Istituto di Biochimica e Biochimica Clinica, Universitá Cattolica, Roma, Italy
| | | | - Pieter Jelle Visser
- Alzheimer center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
- Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, the Netherlands
| | - Asa K. Wallin
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Görsev Yener
- Department of Neurology, Medical School Izmir, Biomedicine and Genome Institute, Brain Dynamics Multidisciplinary Research Center, Dokuz Eylül University, Izmir, Turkey
| | - José L. Molinuevo
- Barcelona Beta Brain Research Centre, Pasqual Maragall Foundation, Barcelona, Spain
- Alzheimer’s disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Olga Meulenbroek
- Department of Geriatrics, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marcel M. Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
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Mollenhauer B, Parnetti L, Rektorova I, Kramberger MG, Pikkarainen M, Schulz-Schaeffer WJ, Aarsland D, Svenningsson P, Farotti L, Verbeek MM, Schlossmacher MG. Biological confounders for the values of cerebrospinal fluid proteins in Parkinson's disease and related disorders. J Neurochem 2016; 139 Suppl 1:290-317. [DOI: 10.1111/jnc.13390] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 09/11/2015] [Accepted: 09/21/2015] [Indexed: 12/26/2022]
Affiliation(s)
- Brit Mollenhauer
- Paracelsus-Elena-Klinik; Kassel Germany
- University Medical Center (Department of Neuropathology); Georg-August University Goettingen; Goettingen Germany
| | - Lucilla Parnetti
- Centro Disturbi della Memoria- Unità Valutativa Alzheimer; Clinica Neurologica; Università di Perugia; Perugia Italy
| | - Irena Rektorova
- Applied Neuroscience Group; CEITEC MU; Masaryk University; Brno Czech Republic
| | - Milica G. Kramberger
- Department of Neurology; University Medical Center Ljubljana; Ljubljana Slovenia
- Division for Neurogeriatrics; Department of NVS; Karolinska Institutet; Center for Alzheimer Research; Stockholm Sweden
- Centre for Age-Related Medicine; Stavanger University Hospital; Stavanger Norway
| | - Maria Pikkarainen
- Institute of Clinical Medicine / Neurology; University of Eastern Finland; Kuopio Finland
| | - Walter J. Schulz-Schaeffer
- University Medical Center (Department of Neuropathology); Georg-August University Goettingen; Goettingen Germany
| | - Dag Aarsland
- Division for Neurogeriatrics; Department of NVS; Karolinska Institutet; Center for Alzheimer Research; Stockholm Sweden
- Centre for Age-Related Medicine; Stavanger University Hospital; Stavanger Norway
| | - Per Svenningsson
- Department for Clinical Neuroscience; Karolinska Institute; Stockholm Sweden
| | - Lucia Farotti
- Centro Disturbi della Memoria- Unità Valutativa Alzheimer; Clinica Neurologica; Università di Perugia; Perugia Italy
| | - Marcel M. Verbeek
- Department of Neurology; Department of Laboratory Medicine; Donders Institute for Brain, Cognition and Behaviour; Radboud University Medical Centre; Nijmegen The Netherlands
| | - Michael G. Schlossmacher
- Program in Neuroscience and Division of Neurology; The Ottawa Hospital; University of Ottawa Brain & Mind Research Institute; Ottawa Ontario Canada
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Abstract
The 7th Kuopio Alzheimer symposium was held on 11–13 June, 2015, in Kuopio, Finland and attracted ˜250 attendees from 14 different countries around the world. The theme for the symposium in its seventh year was ‘From mechanisms to prevention and intervention of Alzheimer's disease’. The 3-day international scientific symposium composed of seven oral sessions and a poster session. The program, spanning from molecular mechanisms to prevention, prediction, diagnosis and treatment of Alzheimer's disease, provided a forum for the attendees to share their research, network and to obtain a comprehensive overview of the current status and future directions of research into Alzheimer's disease.
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Affiliation(s)
- Annakaisa Haapasalo
- Department of Neurobiology, A.I. Virtanen Institute, Neulaniementie 2, 70211 Kuopio, Finland
- Institute of Clinical Medicine – Neurology, University of Eastern Finland, PO box 1627, 70211 Kuopio, Finland
- NeuroCenter, Neurology, Kuopio University Hospital, PO box 100, 70029 Kuopio, Finland
| | - Maria Pikkarainen
- Institute of Clinical Medicine – Neurology, University of Eastern Finland, PO box 1627, 70211 Kuopio, Finland
- NeuroCenter, Neurology, Kuopio University Hospital, PO box 100, 70029 Kuopio, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine – Neurology, University of Eastern Finland, PO box 1627, 70211 Kuopio, Finland
- NeuroCenter, Neurology, Kuopio University Hospital, PO box 100, 70029 Kuopio, Finland
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18
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Leitão MJ, Baldeiras I, Herukka SK, Pikkarainen M, Leinonen V, Simonsen AH, Perret-Liaudet A, Fourier A, Quadrio I, Veiga PM, de Oliveira CR. Chasing the Effects of Pre-Analytical Confounders - A Multicenter Study on CSF-AD Biomarkers. Front Neurol 2015. [PMID: 26217300 PMCID: PMC4495343 DOI: 10.3389/fneur.2015.00153] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Core cerebrospinal fluid (CSF) biomarkers – Aβ42, Tau, and phosphorylated Tau (pTau) – have been recently incorporated in the revised criteria for Alzheimer’s disease (AD). However, their widespread clinical application lacks standardization. Pre-analytical sample handling and storage play an important role in the reliable measurement of these biomarkers across laboratories. Aim In this study, we aim to surpass the efforts from previous studies, by employing a multicenter approach to assess the impact of less studied CSF pre-analytical confounders in AD-biomarkers quantification. Methods Four different centers participated in this study and followed the same established protocol. CSF samples were analyzed for three biomarkers (Aβ42, Tau, and pTau) and tested for different spinning conditions [temperature: room temperature (RT) vs. 4°C; speed: 500 vs. 2000 vs. 3000 g], storage volume variations (25, 50, and 75% of tube total volume), as well as freezing-thaw cycles (up to five cycles). The influence of sample routine parameters, inter-center variability, and relative value of each biomarker (reported as normal/abnormal) was analyzed. Results Centrifugation conditions did not influence biomarkers levels, except for samples with a high CSF total protein content, where either non-centrifugation or centrifugation at RT, compared to 4°C, led to higher Aβ42 levels. Reducing CSF storage volume from 75 to 50% of total tube capacity decreased Aβ42 concentration (within analytical CV of the assay), whereas no change in Tau or pTau was observed. Moreover, the concentration of Tau and pTau appears to be stable up to five freeze–thaw cycles, whereas Aβ42 levels decrease if CSF is freeze-thawed more than three times. Conclusion This systematic study reinforces the need for CSF centrifugation at 4°C prior to storage and highlights the influence of storage conditions in Aβ42 levels. This study contributes to the establishment of harmonized standard operating procedures that will help reducing inter-lab variability of CSF-AD biomarkers evaluation.
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Affiliation(s)
- Maria João Leitão
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra , Coimbra , Portugal
| | - Inês Baldeiras
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra , Coimbra , Portugal ; Neurochemistry Laboratory, Neurology Department, Coimbra University Hospital , Coimbra , Portugal ; Faculty of Medicine, University of Coimbra , Coimbra , Portugal
| | - Sanna-Kaisa Herukka
- Neurology Department, Institute of Clinical Medicine, Kuopio University Hospital, University of Eastern Finland , Kuopio , Finland
| | - Maria Pikkarainen
- Neurology Department, Institute of Clinical Medicine, Kuopio University Hospital, University of Eastern Finland , Kuopio , Finland
| | - Ville Leinonen
- Neurosurgery of NeuroCenter, Kuopio University Hospital , Kuopio , Finland
| | - Anja Hviid Simonsen
- Danish Dementia Research Centre, Copenhagen University Hospital Rigshospitalet , Copenhagen , Denmark
| | - Armand Perret-Liaudet
- Neurobiology, Biochemistry and Molecular Biology Department, University Hospital of Lyon , Lyon , France ; UMR5292, BioRan, CNRS, INSERM U1028, University of Lyon 1 , Lyon , France ; Société Française de Biologie Clinique (SFBC), Alzheimer Biomarkers Group Co-Coordination , Lyon , France
| | - Anthony Fourier
- Neurobiology, Biochemistry and Molecular Biology Department, University Hospital of Lyon , Lyon , France ; UMR5292, BioRan, CNRS, INSERM U1028, University of Lyon 1 , Lyon , France
| | - Isabelle Quadrio
- Neurobiology, Biochemistry and Molecular Biology Department, University Hospital of Lyon , Lyon , France ; UMR5292, BioRan, CNRS, INSERM U1028, University of Lyon 1 , Lyon , France
| | - Pedro Mota Veiga
- Statistics and Research - Curva de Gauss, Training and Consulting , Canas de Senhorim , Portugal
| | - Catarina Resende de Oliveira
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra , Coimbra , Portugal ; Neurochemistry Laboratory, Neurology Department, Coimbra University Hospital , Coimbra , Portugal ; Faculty of Medicine, University of Coimbra , Coimbra , Portugal
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Alafuzoff I, Pikkarainen M, Neumann M, Arzberger T, Al-Sarraj S, Bodi I, Bogdanovic N, Bugiani O, Ferrer I, Gelpi E, Gentleman S, Giaccone G, Graeber MB, Hortobagyi T, Ince PG, Ironside JW, Kavantzas N, King A, Korkolopoulou P, Kovács GG, Meyronet D, Monoranu C, Nilsson T, Parchi P, Patsouris E, Revesz T, Roggendorf W, Rozemuller A, Seilhean D, Streichenberger N, Thal DR, Wharton SB, Kretzschmar H. Erratum to: Neuropathological assessments of the pathology in frontotemporal lobar degeneration with TDP43-positive inclusions: an inter-laboratory study by the BrainNet Europe consortium. J Neural Transm (Vienna) 2014; 122:973-4. [PMID: 25418279 DOI: 10.1007/s00702-014-1337-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Irina Alafuzoff
- Section of Clinical Pathology Uppsala University Hospital, Rudbeck's Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, 751 85, Uppsala, Sweden,
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Kämäläinen A, Viswanathan J, Natunen T, Helisalmi S, Kauppinen T, Pikkarainen M, Pursiheimo JP, Alafuzoff I, Kivipelto M, Haapasalo A, Soininen H, Herukka SK, Hiltunen M. GRN variant rs5848 reduces plasma and brain levels of granulin in Alzheimer's disease patients. J Alzheimers Dis 2013; 33:23-7. [PMID: 22890097 DOI: 10.3233/jad-2012-120946] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Genetic variants in the granulin (GRN) gene have been shown to increase the risk of Alzheimer's disease (AD). Here, we report that the A allele of rs5848 in GRN reduces plasma granulin levels in a dose-dependent manner in a clinically-defined AD sample cohort. Similarly, the mRNA levels of granulin were decreased with respect to A allele of rs5848 in the inferior temporal cortex of neuropathologically confirmed AD patients. Our findings suggest that the A allele of rs5848 is functionally relevant by reducing the expression of granulin.
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Affiliation(s)
- Anna Kämäläinen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
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Pikkarainen M, Hartikainen P, Soininen H, Alafuzoff I. Distribution and pattern of pathology in subjects with familial or sporadic late-onset cerebellar ataxia as assessed by p62/sequestosome immunohistochemistry. Cerebellum 2012; 10:720-31. [PMID: 21544590 DOI: 10.1007/s12311-011-0281-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
We investigated whether ubiquitin-binding protein p62/sequestosome-1 could be utilized to evaluate the pathology seen in patients with a clinical diagnosis of progressive late-onset cerebellar ataxia (LOCA). p62-immunoreactive (IR) lesions were assessed by means of immunohistochemistry in the brains of six LOCA cases, one with the spinocerebellar ataxia type 1 mutation (SCA1), ages at death ranging from 46 to 56 years. All cases fulfilled the criteria of olivopontocerebellar atrophy (OPCA), i.e., displaying cell loss in the predilection brain areas. One case, genetics unknown, exhibited p62-IR neuronal intranuclear inclusions (NIs). Similar NIs were labeled with the 1C2 antibody that recognizes proteins containing large polyglutamine stretches. In this case, also fused in sarcoma-IR NIs were seen. In the remaining LOCA cases, including the case with the SCA1 mutation, different kinds of nuclear and cytoplasmic p62 and 1C2 labeling but no NIs were seen. The immunoreactivity and distribution of lesions while applying p62 and 1C2 immunohistochemistry varied in our six LOCA cases fulfilling the criteria of OPCA. In all cases except in the SCA1, diffuse nuclear p62 labeling was seen, not previously reported in SCA or other neurodegenerative disorders. Due to the variability noted here as well as the limited number of cases, no assessment of progression and distributional pattern of pathology could be conducted. Based on a literature search, it is apparent that there is a need for clinico-pathologic-genetical studies of LOCA, especially to obtain a deeper understanding of the regional distribution and progression of pathology.
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Affiliation(s)
- Maria Pikkarainen
- Department of Clinical Medicine, Unit of Neurology, University of Eastern Finland, Kuopio, Finland
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22
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Kovacs GG, Wagner U, Dumont B, Pikkarainen M, Osman AA, Streichenberger N, Leisser I, Verchère J, Baron T, Alafuzoff I, Budka H, Perret-Liaudet A, Lachmann I. An antibody with high reactivity for disease-associated α-synuclein reveals extensive brain pathology. Acta Neuropathol 2012; 124:37-50. [PMID: 22370907 DOI: 10.1007/s00401-012-0964-x] [Citation(s) in RCA: 114] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2011] [Revised: 01/12/2012] [Accepted: 02/15/2012] [Indexed: 01/22/2023]
Abstract
α-Synuclein is the major protein associated with Lewy body dementia, Parkinson's disease and multiple system atrophy. Since α-synuclein is present in the brain in physiological conditions as a presynaptic protein, it is crucial to characterize disease-associated modifications to develop an in vivo biomarker. With the aim to develop antibodies showing high specificity and sensitivity for disease-associated α-synuclein, synthetic peptides containing different amino acid sequences were used for immunization of mice. After generation of α-synuclein aggregates, ELISA and immunoblotting were used to test the specificity of antibodies. Tissue microarray sections originating from different human α-synucleinopathies were used to compare immunostaining with other, commercially available antibodies. Immunization of mice with the peptide TKEGVVHGVATVAE (amino acid 44-57 of α-synuclein) resulted in the generation of a monoclonal antibody (5G4), which was able to bind aggregated α-synuclein preparation in sandwich ELISA or coated on magnetic beads. 5G4 proved to be superior to other antibodies in comparative immunohistochemical studies by revealing more widespread and distinct α-synuclein pathology. Immunoblotting of human brain tissue revealed an additional band seen in dementia with Lewy bodies, whereas the band representing monomeric α-synuclein was very weak or lacking. In summary, the 5G4 antibody is most promising for re-evaluation of archival material and may offer new perspective for the development of in vivo diagnostic assays for detecting disease-associated α-synuclein in body fluids.
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Affiliation(s)
- Gabor G Kovacs
- Institute of Neurology, Medical University of Vienna, AKH 4 J, Währinger Gürtel 18-20, 1097, Vienna, Austria.
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Rauramaa T, Pikkarainen M, Englund E, Ince PG, Jellinger K, Paetau A, Parkkinen L, Alafuzoff I. Cardiovascular diseases and hippocampal infarcts. Hippocampus 2012; 21:281-7. [PMID: 20054813 DOI: 10.1002/hipo.20747] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
UNLABELLED The prevalence of hippocampal lesions such as hippocampal infarcts have not been studied in detail even though hippocampal alterations are known to be associated with various clinical conditions such as age-related degenerative disorders and epilepsy. METHODS Here we defined the hippocampal infarcts and assessed the prevalence of this lesion in large unselected population of 1,245 subjects age ranging from 1 to 99 years (mean age 79 ± 1 S.E.M). Furthermore, we assessed the association of these lesions with various cardio- and cerebro-vascular disorders and other neurodegenerative lesions. The prevalence of hippocampal infarct in the study population of 1,245 subjects was 12%, increasing to 13% when only those with a clinically diagnosed cognitive impairment (n = 311) were analyzed. Large hemispheric brain infarcts were seen in 31% of the study subjects and these lesions were strongly associated with cardiovascular risk factors such as hypertension (43%), coronary disease (32%), myocardial infarct (22%), atrial fibrillation (20%), and heart failure (20%). In contrast, hippocampal infarcts displayed a significant association only with large hemispheric brain infarct, heart failure, and cardiovascular index as assessed postmortem. It is noteworthy that only widespread hippocampal infarcts were associated with clinical symptoms of cognitive impairment or epilepsy. The surprisingly low prevalence of 12% of hippocampal infarcts in aged population found here and the failure to detect an association between this lesion and various cerebro- cardio-vascular lesions is intriguing. Whether susceptibility to ischemia in line with susceptibility to neuronal degeneration in this region is influenced by still undetermined risk- factors need further investigation. Furthermore it should be noted that the size of the hippocampal tissue damage, i.e., small vs. large cystic infarcts is of significance regarding clinical alterations.
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Affiliation(s)
- Tuomas Rauramaa
- Department of Pathology, Kuopio University Hospital, Finland
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Hartikainen PH, Pikkarainen M, Hänninen T, Soininen H, Alafuzoff I. Unusual clinical presentation and neuropathology in two subjects with fused-in sarcoma (FUS) positive inclusions. Neuropathology 2011; 32:60-8. [PMID: 21518013 DOI: 10.1111/j.1440-1789.2011.01218.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
We report two unusual autopsy cases with frontotemporal lobar degeneration (FTLD) that were hyperphosphorylated-tau- and TAR DNA binding protein 43 (TDP-43)- negative. The behavioral symptoms in both cases were compatible with frontotemporal dementia, but they exhibited more prominent speech and language related symptoms than previously reported. Moreover, they displayed a short duration of the disease; the male case had a disease onset age of 45 years, and duration of 5 years, and the female case suffered even shorter disease duration and a later onset of the symptoms, at the age of 67 years. Moreover, the motor functions had deteriorated in different ways in these cases. The male patient showed progressive motor symptoms, weakness of extremities and bulbar muscles suggesting motor neuron disease with a muscle biopsy supporting neurogenic deficits, whereas the female patient exhibited dyskinesias and tremor with progressive swallowing disorders. The father of the male case displayed dementia of similar type at the age of 68 years. In both cases, neuropathological examination showed fused-in sarcoma (FUS)-positive pathology. The male patient had intensely FUS-positive cytoplasmic and intranuclear inclusions that resembled the characteristics previously reported in FTLD FUS, whereas the female patient did not exhibit any cytoplasmic inclusions but had roundish, dense FUS-positive intranuclear inclusions. She also displayed a plethora of other pathologies including α-synuclein, hyperphosphorylated-tau, β-amyloid aggregation and some neuronal polyglutamine aggregation (1C2) but no well-demarcated inclusions were observed. We conclude that clinical phenotypes of FUS pathologies also include elderly patients and are more variable with motor and speech disorders than previously reported.
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Rauramaa T, Pikkarainen M, Englund E, Ince PG, Jellinger K, Paetau A, Alafuzoff I. TAR-DNA binding protein-43 and alterations in the hippocampus. J Neural Transm (Vienna) 2011; 118:683-9. [DOI: 10.1007/s00702-010-0574-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2010] [Accepted: 12/17/2010] [Indexed: 12/13/2022]
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Aho L, Pikkarainen M, Hiltunen M, Leinonen V, Alafuzoff I. Immunohistochemical visualization of amyloid-beta protein precursor and amyloid-beta in extra- and intracellular compartments in the human brain. J Alzheimers Dis 2010; 20:1015-28. [PMID: 20413866 DOI: 10.3233/jad-2010-091681] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Amyloid-beta (Abeta) peptide, a cleavage product of the amyloid-beta protein precursor (AbetaPP), has been reported to be detected in the intracellular compartment. Most studies reporting the presence of intracellular Abeta are based on the use of immunohistochemistry. In this study, the presence of AbetaPP and Abeta was assessed by applying immunohistochemistry in postmortem human brain tissue samples obtained from 10 neurologically intact subjects, the youngest being 2 years of age, one aged with mild cognitive impairment, 14 neurologically diseased, and in one brain biopsy sample obtained from a subject with normal pressure hydrocephalus. Intracellular immunoreactivity was detected in all ages independent of the disease state or existence of extracellular Abeta aggregates with all antibodies directed to AbetaPP, with three Abeta antibodies (4G8, 6E10, and 82E1), clones that are unable to distinguish Abeta from AbetaPP. These results suggest that it is AbetaPP rather than Abeta that is detected intracellularly when using the antibodies listed above. Furthermore, the staining results varied when different pretreatment strategies were applied. Interestingly intracellular Abeta was detected with antibodies directed to the C-terminus of Abeta (neoepitope) in subjects with Alzheimer's disease. The lack of intracellular immunoreactivity in unimpaired subjects, when using antibodies against neoepitopes, may be due to a lack or a low level of the protein that is thus undetectable at light microscopic level by immunohistochemistry method. The staining results and conclusions depended strongly on the chosen antibody and the pretreatment strategy and thus multiple antibodies must be used when assessing the intracellular accumulation of Abeta.
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Affiliation(s)
- Leena Aho
- Department of Clinical Medicine, Unit of Neurology, University of Eastern Finland, Kuopio, Finland
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Martikainen P, Pikkarainen M, Pöntynen K, Hiltunen M, Lehtovirta M, Tuisku S, Soininen H, Alafuzoff I. Brain pathology in three subjects from the same pedigree with presenilin-1 (PSEN1) P264L mutation. Neuropathol Appl Neurobiol 2010; 36:41-54. [DOI: 10.1111/j.1365-2990.2009.01046.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Pikkarainen M, Hartikainen P, Alafuzoff I. Ubiquitinated p62-positive, TDP-43-negative inclusions in cerebellum in frontotemporal lobar degeneration with TAR DNA binding protein 43. Neuropathology 2009; 30:197-9. [PMID: 19622109 DOI: 10.1111/j.1440-1789.2009.01043.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Seppänen A, Pikkarainen M, Hartikainen P, Hofmann SC, Majamaa K, Alafuzoff I. Expression of collagen XVII and ubiquitin-binding protein p62 in motor neuron disease. Brain Res 2009; 1247:171-7. [PMID: 18992722 DOI: 10.1016/j.brainres.2008.10.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2008] [Revised: 09/29/2008] [Accepted: 10/04/2008] [Indexed: 11/17/2022]
Abstract
Collagen involvement in motor neuron disease has been suggested by several earlier studies. Recently, we found collagen XVII to be expressed in locations in the human brain that include those damaged in motor neuron disease. In this study, we examined the extent of motor neuron disease-related changes in the brain of 9 subjects using ubiquitin-binding protein p62/sequestosome 1 (p62) immunohistochemistry. We then assessed whether or not the expression of collagen XVII was altered in relation to the p62 immunoreactive lesions. We found that neuronal collagen XVII expression in motor neuron disease remains similar to that seen in the normal human brain and thus a change in collagen XVII expression is not an immunohistochemically detectable feature of motor neuron disease. We also found that the regional distribution of p62 varied according to clinical presentation: p62 immunoreactive inclusions were found in the frontal cortex, hippocampus and cerebellum only in subjects with a history of psychiatric morbidity. Our study supports the re-definition of motor neuron disease as a multisystem disorder with a wide clinicopathological spectrum, and we advocate addressing psychiatric symptomology in future studies of motor neuron disease.
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Affiliation(s)
- Allan Seppänen
- Department of Clinical Medicine, Neurology, University of Kuopio, FIN-70211 Kuopio, Finland
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Alafuzoff I, Pikkarainen M, Al-Sarraj S, Arzberger T, Bell J, Bodi I, Bogdanovic N, Budka H, Bugiani O, Ferrer I, Gelpi E, Giaccone G, Graeber MB, Hauw JJ, Kamphorst W, King A, Kopp N, Korkolopoulou P, Kovács GG, Meyronet D, Parchi P, Patsouris E, Preusser M, Ravid R, Roggendorf W, Seilhean D, Streichenberger N, Thal DR, Kretzschmar H. Interlaboratory comparison of assessments of Alzheimer disease-related lesions: a study of the BrainNet Europe Consortium. J Neuropathol Exp Neurol 2006; 65:740-57. [PMID: 16896308 DOI: 10.1097/01.jnen.0000229986.17548.27] [Citation(s) in RCA: 86] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
This interlaboratory study evaluated the reproducibility of the assessments of neuritic plaques and neurofibrillary tangles (NFTs)--the hallmark lesions of Alzheimer disease--and compared the staining between the BrainNet Europe centers. To reduce the topography-related inconsistencies in assessments, we used a 2-mm tissue microarray (TMA) technique. The TMA block included 42 core samples taken from 21 paraffin blocks. The assessments were done on Bielschowsky and Gallyas silver stains using an immunohistochemical (IHC) method with antibodies directed to beta-amyloid (IHC/Abeta) and hyperphosphorylated tau (IHC/HPtau). The staining quality and the assessments differed between the participants, being most diverse with Bielschowsky (good/acceptable stain in 53% of centers) followed by Gallyas (good/acceptable stain in 57%) and IHC/Abeta (good/acceptable stain in 71%). The most uniform staining quality and assessment was obtained with the IHC/HPtau method (good/acceptable stain in 94% of centers). The neuropathologic diagnostic protocol (Consortium to Establish a Registry for Alzheimer Disease, Braak and Braak, and the National Institute of Aging and Reagan [NIA-Reagan] Institute) that was used significantly influenced the agreement, being highest with NIA-Reagan (54%) recommendations. This agreement was improved by visualization of NFTs using the IHC/HPtau method. Therefore, the IHC/HPtau methodology to visualize NFTs and neuropil threads should be considered as a method of choice in a future diagnostic protocol for Alzheimer disease.
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Affiliation(s)
- Irina Alafuzoff
- Department of Neuroscience and Neurology, Kuopio University, Kuopio University Hospital, Finland.
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Pikkarainen M, Alafuzoff I, Kretzschmar H. P3–186: Inter–laboratory reproducibility of silver and immunohistochemical assessments of Alzheimer's disease related lesions.
A study of the BrainNet Europe Consortium. Alzheimers Dement 2006. [DOI: 10.1016/j.jalz.2006.05.1454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Maria Pikkarainen
- Department of Neuroscience and NeurologyKuopio UniversityKuopioFinland
| | - Irina Alafuzoff
- Department of Neuroscience and NeurologyKuopio UniversityKuopioFinland
- Department of PathologyKuopio University HospitalKuopioFinland
| | - Hans Kretzschmar
- Centre for Neuropathology and Prion Research, Munchen Ludwig-Maximilians-UniversityMunchenGermany
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Majak K, Pikkarainen M, Kemppainen S, Jolkkonen E, Pitkänen A. Projections from the amygdaloid complex to the claustrum and the endopiriform nucleus: a Phaseolus vulgaris leucoagglutinin study in the rat. J Comp Neurol 2002; 451:236-49. [PMID: 12210136 DOI: 10.1002/cne.10346] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The claustrum and the endopiriform nucleus contribute to the spread of epileptiform activity from the amygdala to other brain areas. Data of the distribution of pathways underlying the information flow between these regions are, however, incomplete and controversial. To investigate the projections from the amygdala to the claustrum and the endopiriform nucleus, we injected the anterograde tracer Phaseolus vulgaris leucoagglutinin into various divisions of the amygdaloid complex, including the lateral, basal, accessory basal, central, anterior cortical and posterior cortical nuclei, the periamygdaloid cortex, and the amygdalohippocampal area in the rat. Analysis of immunohistochemically processed sections reveal that the heaviest projections to the claustrum originate in the magnocellular division of the basal nucleus. The projection is moderate in density and mainly terminates in the dorsal aspect of the anterior part of the claustrum. Light projections from the parvicellular and intermediate divisions of the basal nucleus terminate in the same region, whereas light projections from the accessory basal nucleus and the lateral division of the amygdalohippocampal area innervate the caudal part of the claustrum. The most substantial projections from the amygdala to the endopiriform nucleus originate in the lateral division of the amygdalohippocampal area. These projections terminate in the central and caudal parts of the endopiriform nucleus. Lighter projections originate in the anterior and posterior cortical nuclei, the periamygdaloid cortex, the medial division of the amygdalohippocampal area, and the accessory basal nucleus. These data provide an anatomic basis for recent functional studies demonstrating that the claustrum and the endopiriform nucleus are strategically located to synchronize and spread epileptiform activity from the amygdala to the other brain regions. These topographically organized pathways also provide a route by means of which the claustrum and the endopiriform nucleus have access to inputs from the amygdaloid networks that process emotionally significant information.
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Affiliation(s)
- Katarzyna Majak
- Epilepsy Research Laboratory, AI Virtanen Institute for Molecular Sciences, University of Kuopio, FIN-70211 Kuopio, Finland
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Abstract
The amygdaloid complex has a key role in the modulation of behavioral responses in life-threatening situations, including the direction of attentional responses to sensory stimuli. The pathways from the amygdala to the basal forebrain cholinergic system, which projects to the cortex, are proposed to contribute to the modulation. To further explore the topography and postsynaptic targets of these pathways, we investigated the projections from the different divisions of the lateral, basal, accessory basal, and central nuclei of the amygdala to the cholinergic basal forebrain in rat using a sensitive anterograde tracer, Phaseolus vulgaris leucoagglutinin. The most substantial projections from the amygdala to the basal forebrain are directed to the ventrolateral and dorsomedial aspects of the substantia innominata and the fundus of the striatum. The heaviest projections originate in the capsular, lateral, and intermediate divisions of the central nucleus as well as in the magnocellular and parvicellular divisions of the basal nucleus. Light microscopic analysis of double-stained preparations revealed that the distribution of amygdaloid efferents and cholinergic neurons overlaps most prominently in the ventrolateral substantia innominata. Despite the fact that the central nucleus efferents and cholinergic elements overlap in the ventrolateral substantia innominata, electron microscopic analysis revealed, first, that the postsynaptic targets of the central nucleus efferents are non-cholinergic, probably GABAergic, neurons. Second, 80% of the synaptic contacts were symmetric. The present data extend previous observations showing that the different amygdaloid nuclei provide projections to the selective basal forebrain areas. Further, the central nucleus efferents modulate cholinergic neurons in the basal forebrain indirectly via the GABAergic interneurons.
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Affiliation(s)
- E Jolkkonen
- Epilepsy Research Laboratory, A.I. Virtanen Institute for Molecular Sciences, University of Kuopio, Finland
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Pikkarainen M, Pitkänen A. Projections from the lateral, basal and accessory basal nuclei of the amygdala to the perirhinal and postrhinal cortices in rat. Cereb Cortex 2001; 11:1064-82. [PMID: 11590116 DOI: 10.1093/cercor/11.11.1064] [Citation(s) in RCA: 55] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The projections from the amygdaloid complex to the hippocampus and surrounding cortex have a critical role in the formation of memories for emotionally arousing stimuli and in the spread of epileptic seizures. The present study investigated the organization of amygdaloid projections to the perirhinal and postrhinal cortices by injecting the anterograde tracer Phaseolus vulgaris leucoagglutinin into the different subdivisions of the lateral, basal or accessory basal nuclei of the amygdala in rat (n = 53). Analysis of immunohistochemically stained sections indicated that the medial and dorsolateral divisions of the lateral nucleus project heavily to layers I-V of caudal area 35 and to layers I-III of the rostroventral postrhinal cortex. The dorsolateral division also moderately innervates layer I of caudoventral area 36. The magnocellular division of the basal nucleus projects moderately to layers V and VI of rostral areas 35 and 36. The parvicellular division of the accessory basal nucleus projects moderately to layer V of caudal area 35, whereas the magnocellular division projects moderately to layers I and II of rostral area 35. Via these substantial, topographically organized projections, the amygdaloid complex might modulate information processing at different levels of the medial temporal lobe memory system.
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Affiliation(s)
- M Pikkarainen
- Epilepsy Research Laboratory, AI Virtanen Institute for Molecular Sciences, University of Kuopio, PO Box 1627, FIN-70 211 Kuopio, Finland
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Abstract
The amygdala orchestrates the formation of behavioral responses to emotionally arousing stimuli. Many of these responses are initiated by the central nucleus, which converges information from other amygdaloid nuclei. Recently, we observed substantial projections from the amygdala to the amygdalostriatal transition area, which is located dorsal to the central nucleus. These projections led us to question whether the amygdalostriatal transition area has a role in the initiation of behavioral responses in emotionally arousing circumstances. To explore this anatomically, we traced the interconnections between the amygdalostriatal transition area and the amygdaloid complex using the anterograde tracer Phaseolus vulgaris-leucoagglutinin. The lateral (the medial division and the caudal portion of the dorsolateral division) and the accessory basal nuclei (the parvicellular division) provide moderate-to-heavy projections to the amygdalostriatal transition area. Projections back to the amygdala are light and are composed of thin, faintly stained varicose fibers that resemble the labeling of cholinergic terminals. The extra-amygdaloid outputs of the amygdalostriatal transition area are sparse and include moderate projections to the caudoventral globus pallidus, the ansa lenticularis, and the substantia nigra pars lateralis. These data suggest that the amygdalostriatal transition area is one of the major targets for projections originating in the lateral and accessory basal nuclei of the amygdala. Via these pathways, emotionally significant stimuli can evoke behavioral responses that are different from those initiated via projections from the amygdala to the central nucleus. One such candidate response is the orienting response (i.e., saccadic eye movements and head direction) in a pathway that includes a projection from the lateral/accessory basal nucleus of the amygdala to the amygdalostriatal transition area, and from there to the substantia nigra, pars lateralis.
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Affiliation(s)
- E Jolkkonen
- Epilepsy Research Laboratory, A.I. Virtanen Institute for Molecular Sciences, University of Kuopio, FIN-70 211 Kuopio, Finland
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Pitkänen A, Pikkarainen M, Nurminen N, Ylinen A. Reciprocal connections between the amygdala and the hippocampal formation, perirhinal cortex, and postrhinal cortex in rat. A review. Ann N Y Acad Sci 2000; 911:369-91. [PMID: 10911886 DOI: 10.1111/j.1749-6632.2000.tb06738.x] [Citation(s) in RCA: 644] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Recent anterograde and retrograde studies in the rat have provided detailed information on the origin and termination of the interconnections between the amygdaloid complex and the hippocampal formation and parahippocampal areas (including areas 35 and 36 of the perirhinal cortex and the postrhinal cortex). The most substantial inputs to the amygdala originate in the rostral half of the entorhinal cortex, the temporal end of the CA1 subfield and subiculum, and areas 35 and 36 of the perirhinal cortex. The amygdaloid nuclei receiving the heaviest inputs are the lateral, basal, accessory basal, and central nuclei as well as the amygdalohippocampal area. The heaviest projections from the amygdala to the hippocampal formation and the parahippocampal areas originate in the lateral, basal, accessory basal, and posterior cortical nuclei. These pathways terminate in the rostral half of the entorhinal cortex, the temporal end of the CA3 and CA1 subfields or the subiculum, the parasubiculum, areas 35 and 36 of the perirhinal cortex, and the postrhinal cortex. The connectional data are summarized and the underlying principles of organization of these projections are discussed.
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Affiliation(s)
- A Pitkänen
- A.I. Virtanen Institute for Molecular Sciences, University of Kuopio, Finland.
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Pikkarainen M, Rönkkö S, Savander V, Insausti R, Pitkänen A. Projections from the lateral, basal, and accessory basal nuclei of the amygdala to the hippocampal formation in rat. J Comp Neurol 1999; 403:229-60. [PMID: 9886046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
The amygdaloid complex and hippocampal formation mediate functions involving emotion and memory. To investigate the connections that regulate the interactions between these regions, we injected the anterograde tracer Phaseolus vulgaris-leucoagglutinin into various divisions of the lateral, basal, and accessory basal nuclei of the rat amygdala. The heaviest projection to the entorhinal cortex originates in the medial division of the lateral nucleus which innervates layer III of the ventral intermediate and dorsal intermediate subfields. In the basal nucleus, the heaviest projection arises in the parvicellular division and terminates in layer III of the amygdalo-entorhinal transitional subfield. In the accessory basal nucleus, the parvicellular division heavily innervates layer V of the ventral intermediate subfield. The most substantial projection to the hippocampus originates in the basal nucleus. The caudomedial portion of the parvicellular division projects heavily to the stratum oriens and stratum radiatum of CA3 and CA1. The accessory basal nucleus projects to the stratum lacunosum-moleculare of CA1. The subiculum receives a substantial input from the caudomedial parvicellular division. The parasubiculum receives dense projections from the caudal portion of the medial division of the lateral nucleus, the caudomedial parvicellular division of the basal nucleus, and the parvicellular division of the accessory basal nucleus. Our data show that select nuclear divisions of the amygdala project to the entorhinal cortex, hippocampus, subiculum, and parasubiculum in segregated rather than overlapping terminal fields. These data suggest that the amygdaloid complex is in a position to modulate different stages of information processing within the hippocampal formation.
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Affiliation(s)
- M Pikkarainen
- A.I. Virtanen Institute, University of Kuopio, Finland
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Pikkarainen M, R�nkk� S, Savander V, Insausti R, Pitk�nen A. Projections from the lateral, basal, and accessory basal nuclei of the amygdala to the hippocampal formation in rat. J Comp Neurol 1999. [DOI: 10.1002/(sici)1096-9861(19990111)403:2<229::aid-cne7>3.0.co;2-p] [Citation(s) in RCA: 273] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Räbinä J, Pikkarainen M, Miyasaka M, Renkonen R. A time-resolved immunofluorometric assay of sialyl Lewis x-degrading alpha 2,3-sialidase activity. Anal Biochem 1998; 258:362-8. [PMID: 9570852 DOI: 10.1006/abio.1998.2590] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
We have developed an assay for alpha 2,3-sialidase (EC 3.2.1.18) which employs a biotinylated carbohydrate-polyacrylamide conjugate as substrate for the enzyme. The solution-phase sialidase reactions are followed by a selective capture of biotinylated neoglycoconjugates onto a microtitration plate coated with streptavidin. The amount of the reaction product formed is then rapidly and easily quantified using a product-specific primary antibody and europium chelate-labeled secondary antibody. This method combines the advantages of solution-phase enzymatic reaction and suitability for high-throughput screening typical of solid-phase assays. The assay gives a detectable signal with 0.4% of substrate sites desialylated. We have demonstrated the utility of the assay by measuring alpha 2,3-sialidase activity from crude lysates of cultured rat endothelial cells by using biotinylated sialyl Lewis x glycoconjugate as substrate. Endothelial sialidase(s) showed up to 250-fold higher activity toward soluble compared to immobilized substrate. Product formation detected with an anti-Lewis x antibody was linear in the range of 0.1-4 micrograms/ml of protein in endothelial cell lysate. High sensitivity of the assay was achieved by using solution-phase enzyme reaction and time-resolved fluorometric detection. The same assay format used here is easily adapted to detect activities of several different glycosidases or glycosyl-transferases by using appropriate substrates and antibodies.
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Affiliation(s)
- J Räbinä
- Department of Bacteriology and Immunology, Haartman Institute, University of Helsinki, Finland
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