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Puerta R, de Rojas I, García-González P, Olivé C, Sotolongo-Grau O, García-Sánchez A, García-Gutiérrez F, Montrreal L, Tartari JP, Sanabria Á, Pytel V, Lage C, Quintela I, Aguilera N, Rodriguez-Rodriguez E, Alarcón-Martín E, Orellana A, Pastor P, Pérez-Tur J, Piñol-Ripoll G, López de Munain A, García-Alberca JM, Royo JL, Bullido MJ, Álvarez V, Real LM, Corbatón Anchuelo A, Gómez-Garre D, Martínez Larrad MT, Franco-Macías E, Mir P, Medina M, Sánchez-Valle R, Dols-Icardo O, Sáez ME, Carracedo Á, Tárraga L, Alegret M, Valero S, Marquié M, Boada M, Sánchez Juan P, Cavazos JE, Cabrera-Socorro A, Cano A, Ruiz A. Linking genomic and proteomic signatures to brain amyloid burden: insights from GR@ACE/DEGESCO. Funct Integr Genomics 2025; 25:73. [PMID: 40133566 PMCID: PMC11937198 DOI: 10.1007/s10142-025-01581-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Revised: 03/12/2025] [Accepted: 03/13/2025] [Indexed: 03/27/2025]
Abstract
Alzheimer's disease (AD) is a complex disease with a strong genetic component, yet many genetic risk factors remain unknown. We combined genome-wide association studies (GWAS) on amyloid endophenotypes measured in cerebrospinal fluid (CSF) and positron emission tomography (PET) as surrogates of amyloid pathology, which may provide insights into the underlying biology of the disease. We performed a meta-GWAS of CSF Aβ42 and PET measures combining six independent cohorts (n = 2,076). Given the opposite beta direction of Aβ phenotypes in CSF and PET measures, only genetic signals showing opposite directions were considered for analysis (n = 376,599). We explored the amyloidosis signature in the CSF proteome using SOMAscan proteomics (ACE cohort, n = 1,008), connected it with GWAS loci modulating amyloidosis and performed an enrichment analysis of overlapping hits. Finally, we compared our results with a large meta-analysis using publicly available datasets in CSF (n = 13,409) and PET (n = 13,116). After filtering the meta-GWAS, we observed genome-wide significance in the rs429358-APOE locus and annotated nine suggestive hits. We replicated the APOE loci using the large CSF-PET meta-GWAS, identifying multiple AD-associated genes including the novel GADL1 locus. Additionally, we found 1,387 FDR-significant SOMAscan proteins associated with CSF Aβ42 levels. The overlap among GWAS loci and proteins associated with amyloid burden was minimal (n = 35). The enrichment analysis revealed mechanisms connecting amyloidosis with the plasma membrane's anchored component, synapse physiology and mental disorders that were replicated in the large CSF-PET meta-analysis. Combining CSF and PET amyloid GWAS with CSF proteome analyses may effectively elucidate causative molecular mechanisms behind amyloid mobilization and AD physiopathology.
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Affiliation(s)
- Raquel Puerta
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- Doctorate in Biotechnology, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona, Avda. Diagonal 643, 08028, Barcelona, Spain
| | - Itziar de Rojas
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Pablo García-González
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Clàudia Olivé
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
| | - Oscar Sotolongo-Grau
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
| | - Ainhoa García-Sánchez
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
| | - Fernando García-Gutiérrez
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
| | - Laura Montrreal
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
| | - Juan Pablo Tartari
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
| | - Ángela Sanabria
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Vanesa Pytel
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Carmen Lage
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Marqués de Valdecilla University Hospital- IDIVAL-Universidad de Cantabria, Santander, Spain
| | - Inés Quintela
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Nuria Aguilera
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
| | - Eloy Rodriguez-Rodriguez
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Marqués de Valdecilla University Hospital- IDIVAL-Universidad de Cantabria, Santander, Spain
| | - Emilio Alarcón-Martín
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
| | - Adelina Orellana
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Pau Pastor
- Unit of Neurodegenerative Diseases, Department of Neurology, University Hospital Germans Trias I Pujol, Badalona, Barcelona, Spain
- The Germans Trias I Pujol Research Institute (IGTP), Badalona, Barcelona, Spain
| | - Jordi Pérez-Tur
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Unitat de Genètica Molecular, Institut de Biomedicina de València-CSIC, Valencia, Spain
- Unidad Mixta de Neurologia Genètica, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Hospital Universitari Santa Maria de Lleida, Lleida, Spain
- Institut de Recerca Biomedica de Lleida (IRBLLeida), Lleida, Spain
| | - Adolfo López de Munain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, Hospital Universitario Donostia, San Sebastian, Spain
- Department of Neurosciences. Faculty of Medicine and Nursery, University of the Basque Country, San Sebastián, Spain
- Neurosciences Area, Instituto Biodonostia, San Sebastian, Spain
| | - Jose María García-Alberca
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Alzheimer Research Center & Memory Clinic, Andalusian Institute for Neuroscience, Málaga, Spain
| | - Jose Luís Royo
- Departamento de Especialidades Quirúrgicas, Bioquímica E Inmunología. School of Medicine, University of Malaga, Málaga, Spain
| | - María J Bullido
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (UAM-CSIC), Madrid, Spain
- Instituto de Investigación Sanitaria 'Hospital La Paz' (IdIPaz), Madrid, Spain
- Universidad Autónoma de Madrid, Madrid, Spain
| | - Victoria Álvarez
- Laboratorio de Genética, Hospital Universitario Central de Asturias, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Luis Miguel Real
- Instituto de Biomedicina de Sevilla/Hospital Universitario Virgen de Valme/CSIC/Dpto de Bioquímica Médica, Biología Molecular e Inmunología/Universidad de Sevilla, Sevilla, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Arturo Corbatón Anchuelo
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico San Carlos, Madrid, Spain
| | - Dulcenombre Gómez-Garre
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico San Carlos, Madrid, Spain
- Laboratorio de Riesgo Cardiovascular y Microbiota, Hospital Clínico San Carlos; Departamento de Fisiología, Facultad de Medicina, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Biomedical Research Networking Center in Cardiovascular Diseases (CIBERCV), Madrid, Spain
| | - María Teresa Martínez Larrad
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico San Carlos, Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Emilio Franco-Macías
- Dementia Unit, Department of Neurology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBiS), Seville, Spain
| | - Pablo Mir
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología. Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Miguel Medina
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, Madrid, Spain
| | - Raquel Sánchez-Valle
- Alzheimer'S Disease and Other Cognitive Disorders Unit. Service of Neurology. Hospital Clínic of Barcelona. Institut d'Investigacions Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Oriol Dols-Icardo
- Department of Neurology, Sant Pau Memory Unit, Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Ángel Carracedo
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Fundación Pública Galega de Medicina Xenómica- CIBERER-IDIS, Santiago de Compostela, Spain
| | - Lluís Tárraga
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Montse Alegret
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Sergi Valero
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Marta Marquié
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Mercè Boada
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Pascual Sánchez Juan
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Reina Sofia Alzheimer Centre, CIEN Foundation, ISCIII, Madrid, Spain
| | - Jose Enrique Cavazos
- South Texas Alzheimer's Disease Research Center, San Antonio, TX, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA
| | - Alfredo Cabrera-Socorro
- Neuroscience Therapeutic Area, Janssen Research & Development, Turnhoutseweg 30, 2340, Beerse, Belgium
| | - Amanda Cano
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Agustín Ruiz
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, C/ Marquès de Sentmenat, 57, 08029, Barcelona, Spain.
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain.
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA.
- Department of Microbiology, Immunology and Molecular Genetics. Long School of Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
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De Vito AN, Kunicki ZJ, Joyce HE, Huey ED, Jones RN. Parallel changes in cognition, neuropsychiatric symptoms, and amyloid in cognitively unimpaired older adults and those with mild cognitive impairment. Alzheimers Dement 2025; 21:e14568. [PMID: 39936256 DOI: 10.1002/alz.14568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 12/18/2024] [Accepted: 12/30/2024] [Indexed: 02/13/2025]
Abstract
INTRODUCTION Alzheimer's disease (AD) diagnosis centers on cognitive impairment despite other early indicators like neuropsychiatric symptoms (NPSs) and amyloid beta (Aβ) accumulation. This study examined how cognition, NPS, and Aβ changes are interrelated over time in individuals without dementia. METHODS Participants were 1247 individuals from the Alzheimer's Disease Neuroimaging Initiative (ADNI)-2 and -3 cohorts with at least 48 months of follow-up. Cognitive domains were assessed via ADNI composite measures, NPS via the neuropsychiatric inventory, and Aβ via standardized uptake value ratio (SUVR) composite scores. Co-occurring changes were evaluated with parallel process models. RESULTS NPS was longitudinally associated with performance in each cognitive domain. Negative baseline Aβ-cognition associations were observed in three cognitive domains. No Aβ-NPS associations were observed. DISCUSSION This study demonstrated strong longitudinal relationships between NPS and cognition in preclinical and prodromal stages of AD. Future studies should incorporate NPS into models of disease trajectories to improve early detection and prediction of disease progression. HIGHLIGHTS Co-occurring changes in Aβ, cognition, and neuropsychiatric symptoms are understudied. We found relationships between neuropsychiatric symptoms and cognition. We found baseline, but not longitudinal, Aβ and cognition associations. Changes in neuropsychiatric symptoms should be included in early detection models of ADRD.
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Affiliation(s)
- Alyssa N De Vito
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Memory and Aging Program, Butler Hospital, Providence, Rhode Island, USA
| | - Zachary J Kunicki
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Hannah E Joyce
- Memory and Aging Program, Butler Hospital, Providence, Rhode Island, USA
| | - Edward D Huey
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Memory and Aging Program, Butler Hospital, Providence, Rhode Island, USA
| | - Richard N Jones
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
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Zhang W, Liu T, Li J, Singh J, Chan A, Islam A, Petrache A, Peng Y, Harvey K, Ali AB. Decreased extrasynaptic δ-GABA A receptors in PNN-associated parvalbumin interneurons correlates with anxiety in APP and tau mouse models of Alzheimer's disease. Br J Pharmacol 2024; 181:3944-3975. [PMID: 38886118 DOI: 10.1111/bph.16441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/02/2024] [Accepted: 05/06/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is associated with gradual memory loss and anxiety which affects ~75% of AD patients. This study investigated whether AD-associated anxiety correlated with modulation of extrasynaptic δ-subunit-containing GABAA receptors (δ-GABAARs) in experimental mouse models of AD. EXPERIMENTAL APPROACH We combined behavioural experimental paradigms to measure cognition performance, and anxiety with neuroanatomy and molecular biology, using familial knock-in (KI) mouse models of AD that harbour β-amyloid (Aβ) precursor protein App (AppNL-F) with or without humanized microtubule-associated protein tau (MAPT), age-matched to wild-type control mice at three different age windows. RESULTS AppNL-F KI and AppNL-F/MAPT AD models showed a similar magnitude of cognitive decline and elevated magnitude of anxiety correlated with neuroinflammatory hallmarks, including triggering receptor expressed on myeloid cells 2 (TREM2), reactive astrocytes and activated microglia consistent with accumulation of Aβ, tau and down-regulation of Wnt/β-catenin signalling compared to aged-matched WT controls. In both the CA1 region of the hippocampus and dentate gyrus, there was an age-dependent decline in the expression of δ-GABAARs selectively expressed in parvalbumin (PV)-expressing interneurons, encapsulated by perineuronal nets (PNNs) in the AD mouse models compared to WT mice. In vivo positive allosteric modulation of the δ-GABAARs, using a δ-selective-compound DS2, decreased the level of anxiety in the AD mouse models, which was correlated with reduced hallmarks of neuroinflammation, and 'normalisation' of the expression of δ-GABAARs. CONCLUSIONS Our data show that the δ-GABAARs could potentially be targeted for alleviating symptoms of anxiety, which would greatly improve the quality of life of AD individuals.
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Puerta R, de Rojas I, García-González P, Olivé C, Sotolongo-Grau O, García-Sánchez A, García-Gutiérrez F, Montrreal L, Pablo Tartari J, Sanabria Á, Pytel V, Lage C, Quintela I, Aguilera N, Rodriguez-Rodriguez E, Alarcón-Martín E, Orellana A, Pastor P, Pérez-Tur J, Piñol-Ripoll G, de Munian AL, García-Alberca JM, Royo JL, Bullido MJ, Álvarez V, Real LM, Anchuelo AC, Gómez-Garre D, Larrad MTM, Franco-Macías E, Mir P, Medina M, Sánchez-Valle R, Dols-Icardo O, Sáez ME, Carracedo Á, Tárraga L, Alegret M, Valero S, Marquié M, Boada M, Juan PS, Cavazos JE, Cabrera A, Cano A. Connecting genomic and proteomic signatures of amyloid burden in the brain. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.06.24313124. [PMID: 39281766 PMCID: PMC11398581 DOI: 10.1101/2024.09.06.24313124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/18/2024]
Abstract
Background Alzheimer's disease (AD) has a high heritable component characteristic of complex diseases, yet many of the genetic risk factors remain unknown. We combined genome-wide association studies (GWAS) on amyloid endophenotypes measured in cerebrospinal fluid (CSF) and positron emission tomography (PET) as surrogates of amyloid pathology, which may be helpful to understand the underlying biology of the disease. Methods We performed a meta-analysis of GWAS of CSF Aβ42 and PET measures combining six independent cohorts (n=2,076). Due to the opposite effect direction of Aβ phenotypes in CSF and PET measures, only genetic signals in the opposite direction were considered for analysis (n=376,599). Polygenic risk scores (PRS) were calculated and evaluated for AD status and amyloid endophenotypes. We then searched the CSF proteome signature of brain amyloidosis using SOMAscan proteomic data (Ace cohort, n=1,008) and connected it with GWAS results of loci modulating amyloidosis. Finally, we compared our results with a large meta-analysis using publicly available datasets in CSF (n=13,409) and PET (n=13,116). This combined approach enabled the identification of overlapping genes and proteins associated with amyloid burden and the assessment of their biological significance using enrichment analyses. Results After filtering the meta-GWAS, we observed genome-wide significance in the rs429358-APOE locus and nine suggestive hits were annotated. We replicated the APOE loci using the large CSF-PET meta-GWAS and identified multiple AD-associated genes as well as the novel GADL1 locus. Additionally, we found a significant association between the AD PRS and amyloid levels, whereas no significant association was found between any Aβ PRS with AD risk. CSF SOMAscan analysis identified 1,387 FDR-significant proteins associated with CSF Aβ42 levels. The overlap among GWAS loci and proteins associated with amyloid burden was very poor (n=35). The enrichment analysis of overlapping hits strongly suggested several signalling pathways connecting amyloidosis with the anchored component of the plasma membrane, synapse physiology and mental disorders that were replicated in the large CSF-PET meta-analysis. Conclusions The strategy of combining CSF and PET amyloid endophenotypes GWAS with CSF proteome analyses might be effective for identifying signals associated with the AD pathological process and elucidate causative molecular mechanisms behind the amyloid mobilization in AD.
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Affiliation(s)
- Raquel Puerta
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- Universitat de Barcelona (UB)
| | - Itziar de Rojas
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Pablo García-González
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Clàudia Olivé
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
| | | | | | | | - Laura Montrreal
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
| | - Juan Pablo Tartari
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
| | - Ángela Sanabria
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Vanesa Pytel
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Carmen Lage
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Inés Quintela
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII). Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Nuria Aguilera
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
| | - Eloy Rodriguez-Rodriguez
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | | | - Adelina Orellana
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Pau Pastor
- Unit of Neurodegenerative diseases, Department of Neurology, University Hospital Germans Trias i Pujol, Badalona, Barcelona, Spain
- The Germans Trias i Pujol Research Institute (IGTP), Badalona, Barcelona, Spain
| | - Jordi Pérez-Tur
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Unitat de Genètica Molecular, Institut de Biomedicina de València-CSIC, Valencia, Spain
- Unidad Mixta de Neurologia Genètica, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Hospital Universitari Santa Maria de Lleida, Lleida, Spain
- Institut de Recerca Biomedica de Lleida (IRBLLeida), Lleida, Spain
| | - Adolfo López de Munian
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology. Hospital Universitario Donostia. San Sebastian, Spain
- Department of Neurosciences. Faculty of Medicine and Nursery. University of the Basque Country, San Sebastián, Spain
- Neurosciences Area. Instituto Biodonostia. San Sebastian, Spain
| | - Jose María García-Alberca
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Alzheimer Research Center & Memory Clinic, Andalusian Institute for Neuroscience, Málaga, Spain
| | - Jose Luís Royo
- Departamento de Especialidades Quirúrgicas, Bioquímica e Inmunología. School of Medicine. University of Malaga. Málaga, Spain
| | - María Jesús Bullido
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (UAM-CSIC)
- Instituto de Investigacion Sanitaria ‘Hospital la Paz’ (IdIPaz), Madrid, Spain
- Universidad Autónoma de Madrid
| | - Victoria Álvarez
- Laboratorio de Genética. Hospital Universitario Central de Asturias, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)
| | - Luis Miguel Real
- Departamento de Especialidades Quirúrgicas, Bioquímica e Inmunología. School of Medicine. University of Malaga. Málaga, Spain
- Unidad Clínica de Enfermedades Infecciosas y Microbiología.Hospital Universitario de Valme, Sevilla, Spain
| | - Arturo Corbatón Anchuelo
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico San Carlos
| | - Dulcenombre Gómez-Garre
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico San Carlos
- Laboratorio de Riesgo Cardiovascular y Microbiota, Hospital Clínico San Carlos; Departamento de Fisiología, Facultad de Medicina, Universidad Complutense de Madrid (UCM)
- Biomedical Research Networking Center in Cardiovascular Diseases (CIBERCV), Madrid, Spain
| | - María Teresa Martínez Larrad
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Hospital Clínico San Carlos
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)
| | - Emilio Franco-Macías
- Dementia Unit, Department of Neurology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBiS), Sevilla, Spain
| | - Pablo Mir
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología. Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Miguel Medina
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center
| | - Raquel Sánchez-Valle
- Alzheimer’s disease and other cognitive disorders unit. Service of Neurology. Hospital Clínic of Barcelona. Institut d’Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Oriol Dols-Icardo
- Department of Neurology, Sant Pau Memory Unit, Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Ángel Carracedo
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII). Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Fundación Pública Galega de Medicina Xenómica – CIBERER-IDIS, Santiago de Compostela, Spain
| | - Lluís Tárraga
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Montse Alegret
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Sergi Valero
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Marta Marquié
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Mercè Boada
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Pascual Sánchez Juan
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Jose Enrique Cavazos
- South Texas Medical Science Training Program, University of Texas Health San Antonio, San Antonio
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 USA
| | - Alfredo Cabrera
- Neuroscience Therapeutic Area, Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium
| | - Amanda Cano
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Alzheimer’s Disease Neuroimaging Initiative.
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229 USA
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5
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Ronat L, Hanganu A, Chylinski D, Van Egroo M, Narbutas J, Besson G, Muto V, Schmidt C, Bahri MA, Phillips C, Salmon E, Maquet P, Vandewalle G, Collette F, Bastin C. Prediction of cognitive decline in healthy aging based on neuropsychiatric symptoms and PET-biomarkers of Alzheimer's disease. J Neurol 2024; 271:2067-2077. [PMID: 38114820 DOI: 10.1007/s00415-023-12131-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/21/2023]
Abstract
Neuropsychiatric symptoms (NPS) have been associated with a risk of accelerated cognitive decline or conversion to dementia of the Alzheimer's Disease (AD) type. Moreover, the NPS were also associated with higher AD biomarkers (brain tau and amyloid burden) even in non-demented patients. But the effect of the relationship between NPS and biomarkers on cognitive decline has not yet been studied. This work aims to assess the relationship between longitudinal cognitive changes and NPS, specifically depression and anxiety, in association with AD biomarkers in healthy middle-aged to older participants. The cohort consisted of 101 healthy participants aged 50-70 years, 66 of whom had neuropsychological assessments of memory, executive functions, and global cognition at a 2-year follow-up. At baseline, NPS were assessed using the Beck Depression and Anxiety Inventories while brain tau and amyloid loads were measured using positron emission topography. For tau burden, THK5351 uptake is used as a proxy of tau and neuroinflammation. Participants, declining or remaining stable at follow-up, were categorized into groups for each cognitive domain. Group classification was investigated using binary logistic regressions based on combined AD biomarkers and the two NPS. The results showed that an association between anxiety and prefrontal amyloid burden significantly classified episodic memory decline, while the classification of global cognitive decline involved temporal and occipital amyloid burden but not NPS. Moreover, depression together with prefrontal and hippocampal tau burden were associated with a decline in memory. The classification of participants based on executive decline was related to depression and mainly prefrontal tau burden. These findings suggest that the combination of NPS and brain biomarkers of AD predicts the occurrence of cognitive decline in aging.
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Affiliation(s)
- Lucas Ronat
- Faculty of Medicine, Department of Medicine, University of Montreal, Montreal, QC, Canada
- Research Centre, University Institute of Geriatrics of Montreal, CIUSSS du Centre-Sud-de-l'Ile-de-Montréal, Montreal, QC, Canada
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Alexandru Hanganu
- Research Centre, University Institute of Geriatrics of Montreal, CIUSSS du Centre-Sud-de-l'Ile-de-Montréal, Montreal, QC, Canada
- Faculty of Arts and Sciences, Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Daphné Chylinski
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium
| | - Gabriel Besson
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Vincenzo Muto
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Christina Schmidt
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium
- Department of Neurology, CHU Liege, 4000, Liege, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Department of Neurology, CHU Liege, 4000, Liege, Belgium
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- F.R.S.-Fonds National de la Recherche Scientifique, Brussels, Belgium
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium
- F.R.S.-Fonds National de la Recherche Scientifique, Brussels, Belgium
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium.
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium.
- F.R.S.-Fonds National de la Recherche Scientifique, Brussels, Belgium.
- Bât. B30 GIGA CRC In Vivo Imaging - Aging and Memory, Quartier Agora, Allée du 6 Août 8, 4000, Liege, Belgium.
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6
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Zhang J, Pandey M, Awe A, Lue N, Kittock C, Fikse E, Degner K, Staples J, Mokhasi N, Chen W, Yang Y, Adikaram P, Jacob N, Greenfest-Allen E, Thomas R, Bomeny L, Zhang Y, Petros TJ, Wang X, Li Y, Simonds WF. The association of GNB5 with Alzheimer disease revealed by genomic analysis restricted to variants impacting gene function. Am J Hum Genet 2024; 111:473-486. [PMID: 38354736 PMCID: PMC10940018 DOI: 10.1016/j.ajhg.2024.01.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/09/2024] [Accepted: 01/10/2024] [Indexed: 02/16/2024] Open
Abstract
Disease-associated variants identified from genome-wide association studies (GWASs) frequently map to non-coding areas of the genome such as introns and intergenic regions. An exclusive reliance on gene-agnostic methods of genomic investigation could limit the identification of relevant genes associated with polygenic diseases such as Alzheimer disease (AD). To overcome such potential restriction, we developed a gene-constrained analytical method that considers only moderate- and high-risk variants that affect gene coding sequences. We report here the application of this approach to publicly available datasets containing 181,388 individuals without and with AD and the resulting identification of 660 genes potentially linked to the higher AD prevalence among Africans/African Americans. By integration with transcriptome analysis of 23 brain regions from 2,728 AD case-control samples, we concentrated on nine genes that potentially enhance the risk of AD: AACS, GNB5, GNS, HIPK3, MED13, SHC2, SLC22A5, VPS35, and ZNF398. GNB5, the fifth member of the heterotrimeric G protein beta family encoding Gβ5, is primarily expressed in neurons and is essential for normal neuronal development in mouse brain. Homozygous or compound heterozygous loss of function of GNB5 in humans has previously been associated with a syndrome of developmental delay, cognitive impairment, and cardiac arrhythmia. In validation experiments, we confirmed that Gnb5 heterozygosity enhanced the formation of both amyloid plaques and neurofibrillary tangles in the brains of AD model mice. These results suggest that gene-constrained analysis can complement the power of GWASs in the identification of AD-associated genes and may be more broadly applicable to other polygenic diseases.
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Affiliation(s)
- Jianhua Zhang
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Mritunjay Pandey
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Adam Awe
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Nicole Lue
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Claire Kittock
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Emma Fikse
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Katherine Degner
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jenna Staples
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Neha Mokhasi
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Weiping Chen
- Genomic Core, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8/Rm 1A11, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yanqin Yang
- Laboratory of Transplantation Genomics, National Heart Lung and Blood Institute, Bldg. 10/Rm 7S261, National Institutes of Health, Bethesda, MD 20892, USA
| | - Poorni Adikaram
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Nirmal Jacob
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Emily Greenfest-Allen
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Rachel Thomas
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Laura Bomeny
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yajun Zhang
- Unit on Cellular and Molecular Neurodevelopment, Bldg. 35/Rm 3B 1002, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA
| | - Timothy J Petros
- Unit on Cellular and Molecular Neurodevelopment, Bldg. 35/Rm 3B 1002, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA
| | - Xiaowen Wang
- Partek Incorporated, 12747 Olive Boulevard, St. Louis, MO 63141, USA
| | - Yulong Li
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA
| | - William F Simonds
- Metabolic Diseases Branch, Bldg. 10/Rm 8C-101, National Institutes of Health, Bethesda, MD 20892, USA.
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7
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Guo Y, Sun Y, Li M, Qi WY, Tan L, Tan MS. Amyloid Pathology Modulates the Associations of Neuropsychiatric Symptoms with Cognitive Impairments and Neurodegeneration in Non-Demented Elderly. J Alzheimers Dis 2024; 97:471-484. [PMID: 38143362 DOI: 10.3233/jad-230918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2023]
Abstract
BACKGROUND The associations between neuropsychiatric symptoms (NPSs) and Alzheimer's disease (AD) have been well-studied, yet gaps remain. OBJECTIVE We aimed to examine the associations of four subsyndromes (hyperactivity, psychosis, affective symptoms, and apathy) of NPSs with cognition, neurodegeneration, and AD pathologies. METHODS Totally 1,040 non-demented elderly (48.07% males) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) were included. We assessed the relationships between NPSs and AD neuropathologies, cognition, neurodegeneration, and clinical correlates in cross-sectional and longitudinal via multiple linear regression, linear mixed effects, and Cox proportional hazard models. Causal mediation analyses were conducted to explore the mediation effects of AD pathologies on cognition and neurodegeneration. RESULTS We found that individuals with hyperactivity, psychosis, affective symptoms, or apathy displayed a poorer cognitive status, a lower CSF amyloid-β (Aβ) level and a higher risk of clinical conversion (p < 0.05). Hyperactivity and affective symptoms were associated with increasing cerebral Aβ deposition (p < 0.05). Except psychosis, the other three subsyndromes accompanied with faster atrophy of hippocampal volume (p < 0.05). Specific NPSs were predominantly associated with different cognitive domains decline through an 8-year follow-up (p < 0.05). Moreover, the relationships between NPSs and cognitive decline, neurodegeneration might be associated with Aβ, the mediation percentage varied from 6.05% to 17.51% (p < 0.05). CONCLUSIONS NPSs could be strongly associated with AD. The influences of NPSs on cognitive impairments, neurodegeneration might be partially associated with Aβ.
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Affiliation(s)
- Yun Guo
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Yan Sun
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Meng Li
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wan-Yi Qi
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Hospital, University of Health and Rehabilitation Sciences, Qingdao, China
| | - Meng-Shan Tan
- School of Clinical Medicine, Weifang Medical University, Weifang, China
- Department of Neurology, Qingdao Hospital, University of Health and Rehabilitation Sciences, Qingdao, China
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8
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Imai A, Matsuoka T, Narumoto J. Emotional Dysregulation in Mild Behavioral Impairment Is Associated with Reduced Cortical Thickness in the Right Supramarginal Gyrus. J Alzheimers Dis 2023; 93:521-532. [PMID: 37038811 DOI: 10.3233/jad-220948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
BACKGROUND Mild behavioral impairment (MBI) has attracted attention as a possible precursor symptom of dementia, but its neural basis has not been fully investigated. OBJECTIVE We aimed to investigate the relationship between MBI and surface area, cortical thickness, and volume in the temporal and parietal lobes, which are strongly associated with dementia and emotional disorders. METHODS This retrospective study evaluated 123 participants: 90 with mild cognitive impairment (MCI), 13 with subjective cognitive decline (SCD), and 20 cognitively healthy (CH). Using analysis of covariance (ANCOVA) with sex, age, and MMSE score as covariates, cortical thickness, surface area, and volume in 10 regions were compared between groups with and without MBI. Groups with MBI emotional dysregulation were also compared with groups without MBI. RESULTS ANCOVA revealed significantly smaller cortical thickness in the MBI group's right parahippocampal (p = 0.01) and supramarginal gyri (p = 0.002). After multiple comparison correction, only the right supramarginal gyrus was significantly smaller (p = 0.02). When considering only MBI emotional dysregulation, the right parahippocampal and supramarginal gyrus' cortical thicknesses were significantly smaller in this MBI group (p = 0.03, 0.01). However, multiple comparison correction identified no significant differences (p = 0.14, 0.11). CONCLUSION Overall MBI and the emotional dysregulation domains were associated with reduced cortical thickness in the right parahippocampal and supramarginal gyri. Since neurodegeneration in the medial temporal and parietal lobe precedes early Alzheimer's disease (AD), MBI, particularly emotion dysregulation, may predict early AD below the diagnostic threshold.
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Affiliation(s)
- Ayu Imai
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Teruyuki Matsuoka
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
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9
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Dang M, Chen Q, Zhao X, Chen K, Li X, Zhang J, Lu J, Ai L, Chen Y, Zhang Z. Tau as a biomarker of cognitive impairment and neuropsychiatric symptom in Alzheimer's disease. Hum Brain Mapp 2023; 44:327-340. [PMID: 36647262 PMCID: PMC9842886 DOI: 10.1002/hbm.26043] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/28/2022] [Accepted: 07/28/2022] [Indexed: 01/25/2023] Open
Abstract
The A/T/N research framework has been proposed for the diagnosis and prognosis of Alzheimer's disease (AD). However, the spatial distribution of ATN biomarkers and their relationship with cognitive impairment and neuropsychiatric symptoms (NPS) need further clarification in patients with AD. We scanned 83 AD patients and 38 cognitively normal controls who independently completed the mini-mental state examination and Neuropsychiatric Inventory scales. Tau, Aβ, and hypometabolism spatial patterns were characterized using Statistical Parametric Mapping together with [18F]flortaucipir, [18F]florbetapir, and [18F]FDG positron emission tomography. Piecewise linear regression, two-sample t-tests, and support vector machine algorithms were used to explore the relationship between tau, Aβ, and hypometabolism and cognition, NPS, and AD diagnosis. The results showed that regions with tau deposition are region-specific and mainly occurred in inferior temporal lobes in AD, which extensively overlaps with the hypometabolic regions. While the deposition regions of Aβ were unique and the regions affected by hypometabolism were widely distributed. Unlike Aβ, tau and hypometabolism build up monotonically with increasing cognitive impairment in the late stages of AD. In addition, NPS in AD were associated with tau deposition closely, followed by hypometabolism, but not with Aβ. Finally, hypometabolism and tau had higher accuracy in differentiating the AD patients from controls (accuracy = 0.88, accuracy = 0.85) than Aβ (accuracy = 0.81), and the combined three were the highest (accuracy = 0.95). These findings suggest tau pathology is superior over Aβ and glucose metabolism to identify cognitive impairment and NPS. Its results support tau accumulation can be used as a biomarker of clinical impairment in AD.
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Affiliation(s)
- Mingxi Dang
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
- BABRI CentreBeijing Normal UniversityBeijingChina
| | - Qian Chen
- Department of Nuclear Medicine, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Xiaobin Zhao
- Department of Nuclear Medicine, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Kewei Chen
- Banner Alzheimer's InstitutePhoenixArizonaUSA
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
- BABRI CentreBeijing Normal UniversityBeijingChina
| | - Junying Zhang
- Institute of Basic Research in Clinical MedicineChina Academy of Chinese Medical SciencesBeijingChina
| | - Jie Lu
- Department of RadiologyXuanwu Hospital of Capital Medical UniversityBeijingChina
| | - Lin Ai
- Department of Nuclear Medicine, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
- BABRI CentreBeijing Normal UniversityBeijingChina
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
- BABRI CentreBeijing Normal UniversityBeijingChina
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10
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Russo FA, Mallik A, Thomson Z, de Raadt St. James A, Dupuis K, Cohen D. Developing a music-based digital therapeutic to help manage the neuropsychiatric symptoms of dementia. Front Digit Health 2023; 5:1064115. [PMID: 36744277 PMCID: PMC9895844 DOI: 10.3389/fdgth.2023.1064115] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/02/2023] [Indexed: 01/22/2023] Open
Abstract
The greying of the world is leading to a rapid acceleration in both the healthcare costs and caregiver burden that are associated with dementia. There is an urgent need to develop new, easily scalable modalities of support. This perspective paper presents the theoretical background, rationale, and development plans for a music-based digital therapeutic to manage the neuropsychiatric symptoms of dementia, particularly agitation and anxiety. We begin by presenting the findings of a survey we conducted with key opinion leaders. The findings highlight the value of a music-based digital therapeutic for treating neuropsychiatric symptoms, particularly agitation and anxiety. We then consider the neural substrates of these neuropsychiatric symptoms before going on to evaluate randomized control trials on the efficacy of music-based interventions in their treatment. Finally, we present our development plans for the adaptation of an existing music-based digital therapeutic that was previously shown to be efficacious in the treatment of adult anxiety symptoms.
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Affiliation(s)
- Frank A. Russo
- Department of Psychology, Toronto Metropolitan University, Toronto, ON, Canada,KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada,LUCID Inc., Toronto, ON, Canada,Correspondence: Frank A. Russo
| | | | | | | | - Kate Dupuis
- Center for Elder Research, Sheridan College, Oakville, ON, Canada
| | - Dan Cohen
- Right to Music, New York, NY, United States
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11
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Spampinato MV, Ulber JL, Fayyaz H, Sullivan A, Collins HR. Neuropsychiatric Symptoms and In Vivo Alzheimer's Biomarkers in Mild Cognitive Impairment. J Alzheimers Dis 2023; 96:1827-1836. [PMID: 38007644 DOI: 10.3233/jad-220835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) carry an increased risk of progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD). There is a need to understand how to integrate NPS into the paradigm outlined in the 2018 NIA-AA Research Framework. OBJECTIVE To evaluate a prediction model of MCI-AD progression using a collection of variables, including NPS, cognitive testing, apolipoprotein E4 status (APOE4), imaging and laboratory AD biomarkers. METHODS Of 300 elderly subjects, 219 had stable MCI and 81 MCI-AD progression over a 5-year follow-up. NPS were measured using the Neuropsychiatric Inventory (NPI). A multivariate Cox Proportional Hazards Regression Analysis assessed the effects of APOE4, baseline NPI, baseline CSF amyloid-β, phosphorylated and total tau, baseline AD-signature MRI biomarker, baseline memory and executive function on MCI-AD progression. RESULTS 27% progressed to dementia (median follow-up = 43 months). NPS were found in stable MCI (62.6%) and MCI-AD converters (70.3%). The Cox model exhibited a good fit (p < 0.001), and NPS (HR = 1.033, p = 0.027), phosphorylated tau (HR = 1.011, p = 0.025), total tau (HR = 1.005, p = 0.024), AD-signature MRI biomarker (HR = 0.111, p = 0.002), executive function (HR = 0.727, p = 0.045), and memory performance (HR = 0.387, p < 0.001) were significantly associated with dementia. CONCLUSIONS NPS may inform dementia risk assessment in conjunction with cognitive testing and imaging and laboratory AD biomarkers. NPS is independently associated with the risk of MCI-dementia progression, over and beyond the contributions of CSF biomarkers.
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Affiliation(s)
- Maria Vittoria Spampinato
- Radiology and Radiological Science Department, Medical University of South Carolina, Charleston, SC, USA
| | - Jenny L Ulber
- College of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Habiba Fayyaz
- College of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Allison Sullivan
- College of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Heather R Collins
- Radiology and Radiological Science Department, Medical University of South Carolina, Charleston, SC, USA
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12
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Warren SL, Hamza EA, Tindle R, Reid E, Whitfield P, Doumit A, Moustafa AA. Common Neuropsychiatric S ymptoms in Alzheimer's Disease, Mild Cognitive Impairment, and Subjective Memory Complaints: A Unified Framework. Curr Alzheimer Res 2023; 20:459-470. [PMID: 37873914 DOI: 10.2174/0115672050255489231012072014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/15/2023] [Accepted: 08/15/2023] [Indexed: 10/25/2023]
Abstract
The Alzheimer's disease (AD) continuum is a unique spectrum of cognitive impairment that typically involves the stages of subjective memory complaints (SMC), mild cognitive impairment (MCI), and AD dementia. Neuropsychiatric symptoms (NPS), such as apathy, anxiety, stress, and depression, are highly common throughout the AD continuum. However, there is a dearth of research on how these NPS vary across the AD continuum, especially SMC. There is also disagreement on the effects of specific NPS on each stage of the AD continuum due to their collinearity with other NPS, cognitive decline, and environmental factors (e.g., stress). In this article, we conduct a novel perspective review of the scientific literature to understand the presence of NPS across the AD continuum. Specifically, we review the effects of apathy, depression, anxiety, and stress in AD, MCI, and SMC. We then build on this knowledge by proposing two theories of NPS' occurrence across the AD continuum. Consequently, we highlight the current landscape, limitations (e.g., differing operationalization), and contentions surrounding the NPS literature. We also outline theories that could clear up contention and inspire future NPS research.
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Affiliation(s)
- Samuel L Warren
- School of Psychology, Faculty of Society and Design, Bond University, Gold Coast, Queensland, Australia
| | - Eid Abo Hamza
- Faculty of Education, Tanta University, Tanta, Egypt
- College of Education, Humanities & Social Sciences, Al Ain University, Al Ain, UAE
| | - Richard Tindle
- School of Psychology, University of Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Edwina Reid
- School of Psychology, Western Sydney University, Sydney, New South Wales, Australia
| | - Paige Whitfield
- School of Psychology, Western Sydney University, Sydney, New South Wales, Australia
| | - Adam Doumit
- School of Psychology, Western Sydney University, Sydney, New South Wales, Australia
| | - Ahmed A Moustafa
- School of Psychology, Faculty of Society and Design, Bond University, Gold Coast, Queensland, Australia
- Department of Human Anatomy and Physiology, The Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa
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13
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Pink A, Krell‐Roesch J, Syrjanen JA, Christenson LR, Lowe VJ, Vemuri P, Fields JA, Stokin GB, Kremers WK, Scharf EL, Jack CR, Knopman DS, Petersen RC, Vassilaki M, Geda YE. Interactions Between Neuropsychiatric Symptoms and Alzheimer's Disease Neuroimaging Biomarkers in Predicting Longitudinal Cognitive Decline. PSYCHIATRIC RESEARCH AND CLINICAL PRACTICE 2023; 5:4-15. [PMID: 36909142 PMCID: PMC9997077 DOI: 10.1176/appi.prcp.20220036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/13/2022] [Accepted: 12/16/2022] [Indexed: 01/22/2023] Open
Abstract
Objective To examine interactions between Neuropsychiatric symptoms (NPS) with Pittsburgh Compound B (PiB) and fluorodeoxyglucose positron emission tomography (FDG-PET) in predicting cognitive trajectories. Methods We conducted a longitudinal study in the setting of the population-based Mayo Clinic Study of Aging in Olmsted County, MN, involving 1581 cognitively unimpaired (CU) persons aged ≥50 years (median age 71.83 years, 54.0% males, 27.5% APOE ɛ4 carriers). NPS at baseline were assessed using the Neuropsychiatric Inventory Questionnaire (NPI-Q). Brain glucose hypometabolism was defined as a SUVR ≤ 1.47 (measured by FDG-PET) in regions typically affected in Alzheimer's disease. Abnormal cortical amyloid deposition was measured using PiB-PET (SUVR ≥ 1.48). Neuropsychological testing was done approximately every 15 months, and we calculated global and domain-specific (memory, language, attention, and visuospatial skills) cognitive z-scores. We ran linear mixed-effect models to examine the associations and interactions between NPS at baseline and z-scored PiB- and FDG-PET SUVRs in predicting cognitive z-scores adjusted for age, sex, education, and previous cognitive testing. Results Individuals at the average PiB and without NPS at baseline declined over time on cognitive z-scores. Those with increased PiB at baseline declined faster (two-way interaction), and those with increased PiB and NPS declined even faster (three-way interaction). We observed interactions between time, increased PiB and anxiety or irritability indicating accelerated decline on global z-scores, and between time, increased PiB and several NPS (e.g., agitation) showing faster domain-specific decline, especially on the attention domain. Conclusions NPS and increased brain amyloid deposition synergistically interact in accelerating global and domain-specific cognitive decline among CU persons at baseline.
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Affiliation(s)
- Anna Pink
- First Department of MedicineParacelsus Medical UniversitySalzburgAustria
| | - Janina Krell‐Roesch
- Department of Quantitative Health SciencesMayo Clinic RochesterRochesterMinnesotaUSA
- Institute of Sports and Sports ScienceKarlsruhe Institute of TechnologyKarlsruheGermany
| | - Jeremy A. Syrjanen
- Department of Quantitative Health SciencesMayo Clinic RochesterRochesterMinnesotaUSA
| | - Luke R. Christenson
- Department of Quantitative Health SciencesMayo Clinic RochesterRochesterMinnesotaUSA
| | - Val J. Lowe
- Department of RadiologyMayo Clinic RochesterRochesterMinnesotaUSA
| | | | - Julie A. Fields
- Department of Psychiatry and PsychologyMayo Clinic RochesterRochesterMinnesotaUSA
| | - Gorazd B. Stokin
- International Clinical Research Center/St. Anne HospitalBrnoCzech Republic
| | - Walter K. Kremers
- Department of Quantitative Health SciencesMayo Clinic RochesterRochesterMinnesotaUSA
| | - Eugene L. Scharf
- Department of NeurologyMayo Clinic RochesterRochesterMinnesotaUSA
| | - Clifford R. Jack
- Department of RadiologyMayo Clinic RochesterRochesterMinnesotaUSA
| | - David S. Knopman
- Department of NeurologyMayo Clinic RochesterRochesterMinnesotaUSA
| | - Ronald C. Petersen
- Department of Quantitative Health SciencesMayo Clinic RochesterRochesterMinnesotaUSA
- Department of NeurologyMayo Clinic RochesterRochesterMinnesotaUSA
| | - Maria Vassilaki
- Department of Quantitative Health SciencesMayo Clinic RochesterRochesterMinnesotaUSA
| | - Yonas E. Geda
- Department of NeurologyFranke Global Neuroscience Education CenterBarrow Neurological InstitutePhoenixArizonaUSA
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14
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Bogdan A, Fabre R, Desmidt T, Golebiowski J, Topin J, Bethus I, Hanon O, Boutoleau-Bretonniere C, Wagemann N, Annweiler C, Ousset PJ, Godefroy O, Rouch I, Paccalin M, Sukhorukova M, Gabelle A, Robert G, David R. Different Trajectories of Apathy and Depression Among Subjective Cognitive Impairment Individuals with or without Conversion to Dementia: Results from the Memento Cohort in France. J Alzheimers Dis 2023; 95:415-426. [PMID: 37545236 DOI: 10.3233/jad-230162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
BACKGROUND Apathy and depression are two early behavioral symptoms in Alzheimer's disease (AD) and related disorders that often occur prior to the onset of cognitive decline and memory disturbances. Both have been associated with an increased risk of conversion to dementia, with a distinct neuropathology. OBJECTIVE The assessment of the trajectories of apathy and depression and their independent impact on dementia conversion. METHODS Apathy and Depression were measured using the Neuropsychiatric Inventory for caregiver (NPI) and clinician (NPI-C), among the nondemented individuals reporting subjective cognitive decline (SCD) at baseline. They were followed up over a 60-month period. Some converted to dementia, according to the methodology carried out by the French Memento Cohort. RESULTS Among individuals with SCD (n = 2,323), the levels of apathy and depression were low and did not evolve significantly over the 60-month period, despite a trend in apathy increasing as of month 24. Regarding SCD individuals who converted to dementia within the 60-month period (n = 27), the prevalence of depression remained globally steady, while the levels of apathy increased over time. CONCLUSION Apathy and depression have different trajectories among individuals with SCD and apathy alone is more likely-compared to depression-to be associated with conversion to dementia.
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Affiliation(s)
- Anamaria Bogdan
- Cote d'Azur University, Nice University Hospital, Department of Old Age Psychiatry, Nice, France
| | - Roxane Fabre
- Nice University Hospital, Department of Public Health, Nice, France
| | | | | | - Jérémie Topin
- Côte D'Azur University, Chemistry Institute of Nice, France
| | - Ingrid Bethus
- Côte d'Azur University, IPMC (Institut de Pharmacologie Moléculaire et cellulaire), Sophia Antipolis, France
| | - Olivier Hanon
- Université Paris Cité - EA4468 APHP-Hôpitaux Universitaires Paris Centre - Service de Gériatrie- hôpital Broca, Paris, France
| | | | | | | | - Pierre-Jean Ousset
- Toulouse Clinical Research Center, Toulouse University Hospital, Toulouse, France
| | - Olivier Godefroy
- Department of Neurology, Amiens University Hospital, Amiens, France
| | - Isabelle Rouch
- Memory Clinic (CMRR) Saint Etienne, INSERM U1219, Bordeaux, France
| | - Marc Paccalin
- Department of Geriatry, Memory Clinic (CMRR), CIC U1402, Poitiers University Hospital, Poitiers, France
| | | | - Audrey Gabelle
- Memory Clinic (CMRR), Montpellier University Hospital, Montpellier, France
| | | | - Renaud David
- Cote d'Azur University, Nice University Hospital, Department of Old Age Psychiatry, Nice, France
- NICE BRAIN non-profitorganization for research on brain, Nice, France
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15
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Qiu J, Goldstein FC, Hanfelt JJ. An Exploration of Subgroups of Neuropsychiatric Symptoms in Mild Cognitive Impairment and Their Risks of Conversion to Dementia or Death. Am J Geriatr Psychiatry 2022; 30:925-934. [PMID: 35067420 PMCID: PMC9250542 DOI: 10.1016/j.jagp.2021.12.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 01/26/2023]
Abstract
OBJECTIVE To explore the heterogeneity of neuropsychiatric symptom (NPS) complexes in individuals with mild cognitive impairment (MCI) and assess the relative risks of converting to dementia or dying. DESIGN Latent class analysis using 7,971 participants with MCI. SETTING Participants in the Uniform Data Set (UDS) from 39 NIH Alzheimer's Disease Centers. PARTICIPANTS Persons with a diagnosis of MCI at initial visit from each center and with either a Mini-Mental State Examination (MMSE) score of 22 or greater or an equivalent education-adjusted Montreal Cognitive Assessment (MoCA) score of 16 or greater. MEASUREMENTS Neuropsychiatric Inventory Questionnaire (NPI-Q) administered at initial visit. RESULTS In addition to a subgroup with mild or no NPS (relative frequency, 50%), three empirically-based subgroups of NPS were identified: 1) an "affect" or "negative mood" subgroup (27%) with depression, anxiety, apathy, nighttime disturbance, and change in appetite; 2) a "hyperactive" subgroup (14%) with agitation, irritability, and disinhibition; and 3) a "psychotic with additional severe NPS" subgroup (9%) with the highest risk of delusions and hallucinations, as well as highest risk of all other NPS. Each of these three subgroups had significantly higher risk of converting to dementia than the "mild NPS" class, with the "psychotic with additional severe NPS" subgroup possessing a 64% greater risk. The subgroups did not differ in their risks of death without dementia. CONCLUSION Our findings of three NPS subgroups in MCI characterized by affect, hyperactive, or psychotic features are largely consistent with a previous 3-factor model of NPS found in a demented population. The consistency of these findings across studies and samples, coupled with our results on the associated risks of converting to dementia, suggests that the NPS structure is robust, and warrants further consideration in classification models of MCI.
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Affiliation(s)
- Jiayue Qiu
- School of Dental Medicine, University of Pennsylvania
| | - Felicia C. Goldstein
- Department of Neurology, Emory University School of Medicine,Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine
| | - John J. Hanfelt
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine,Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health
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16
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Johansson M, Stomrud E, Johansson PM, Svenningsson A, Palmqvist S, Janelidze S, van Westen D, Mattsson-Carlgren N, Hansson O. Development of Apathy, Anxiety, and Depression in Cognitively Unimpaired Older Adults: Effects of Alzheimer's Disease Pathology and Cognitive Decline. Biol Psychiatry 2022; 92:34-43. [PMID: 35346458 DOI: 10.1016/j.biopsych.2022.01.012] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 01/12/2022] [Accepted: 01/16/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND The impact of Alzheimer's disease (AD) pathology and cognitive deficits on longitudinal neuropsychiatric symptoms is unclear, especially in early disease stages. METHODS Cognitively unimpaired older adults (N = 356) enrolled in the prospective Swedish BioFINDER study were examined. Neuropsychiatric assessments encompassed the Apathy Evaluation Scale and the Hospital Anxiety and Depression Scale, performed biennially (together with tests of global cognition) for up to 8 years. Biomarkers were measured in cerebrospinal fluid or plasma at baseline. Magnetic resonance imaging quantified white matter lesions. We used linear mixed-effect models to test associations between baseline AD biomarkers (for amyloid-β [Aβ], tau, and neurodegeneration) and white matter lesions with longitudinal neuropsychiatric symptoms (apathy, anxiety, and depressive symptoms). We also tested associations between changes in cognition and changes in neuropsychiatric symptoms. Finally, we tested if change in cognition mediated the effects of different brain pathologies on neuropsychiatric symptoms. RESULTS Aβ pathology at baseline was associated with increasing levels of apathy (β = -0.284, p = .005) and anxiety (β = -0.060, p = .011) longitudinally. More rapid decline of cognition over time was related to increasing levels of apathy. The effects of baseline Aβ pathology on longitudinal apathy were partly mediated by changes in cognitive performance (proportion mediated 23%). CONCLUSIONS Aβ pathology may drive the development of both apathy and anxiety in very early stages of AD, largely independent of cognitive change. The effect of Aβ on apathy is only partially conveyed by worse cognition. Together, these findings highlight certain neuropsychiatric symptoms as early manifestations of AD.
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Affiliation(s)
- Maurits Johansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Helsingborg, Sweden; Clinical Department of Psychiatry, Helsingborg Hospital, Helsingborg, Sweden.
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Per Mårten Johansson
- Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Helsingborg, Sweden; Department of Internal Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden
| | - Anna Svenningsson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Danielle van Westen
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden; Image and Function, Skåne University Hospital Lund, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden; Department of Neurology, Skåne University Hospital Lund, Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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17
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Moulinet I, Touron E, Mézenge F, Dautricourt S, De La Sayette V, Vivien D, Marchant NL, Poisnel G, Chételat G. Depressive Symptoms Have Distinct Relationships With Neuroimaging Biomarkers Across the Alzheimer’s Clinical Continuum. Front Aging Neurosci 2022; 14:899158. [PMID: 35795235 PMCID: PMC9251580 DOI: 10.3389/fnagi.2022.899158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/30/2022] [Indexed: 01/02/2023] Open
Abstract
Background Depressive and anxiety symptoms are frequent in Alzheimer’s disease and associated with increased risk of developing Alzheimer’s disease in older adults. We sought to examine their relationships to Alzheimer’s disease biomarkers across the preclinical and clinical stages of the disease. Method Fifty-six healthy controls, 35 patients with subjective cognitive decline and 56 amyloid-positive cognitively impaired patients on the Alzheimer’s continuum completed depression and anxiety questionnaires, neuropsychological tests and neuroimaging assessments. We performed multiple regressions in each group separately to assess within group associations of depressive and anxiety symptoms with either cognition (global cognition and episodic memory) or neuroimaging data (gray matter volume, glucose metabolism and amyloid load). Results Depressive symptoms, but not anxiety, were higher in patients with subjective cognitive decline and cognitively impaired patients on the Alzheimer’s continuum compared to healthy controls. Greater depressive symptoms were associated with higher amyloid load in subjective cognitive decline patients, while they were related to higher cognition and glucose metabolism, and to better awareness of cognitive difficulties, in cognitively impaired patients on the Alzheimer’s continuum. In contrast, anxiety symptoms were not associated with brain integrity in any group. Conclusion These data show that more depressive symptoms are associated with greater Alzheimer’s disease biomarkers in subjective cognitive decline patients, while they reflect better cognitive deficit awareness in cognitively impaired patients on the Alzheimer’s continuum. Our findings highlight the relevance of assessing and treating depressive symptoms in the preclinical stages of Alzheimer’s disease.
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Affiliation(s)
- Inès Moulinet
- Physiopathology and Imaging of Neurological Disorders (PhIND), Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Université de Caen Normandie, Caen, France
| | - Edelweiss Touron
- Physiopathology and Imaging of Neurological Disorders (PhIND), Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Université de Caen Normandie, Caen, France
| | - Florence Mézenge
- Physiopathology and Imaging of Neurological Disorders (PhIND), Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Université de Caen Normandie, Caen, France
| | - Sophie Dautricourt
- Physiopathology and Imaging of Neurological Disorders (PhIND), Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Université de Caen Normandie, Caen, France
- CHU de Caen, Service de Neurologie, Caen, France
| | | | - Denis Vivien
- Physiopathology and Imaging of Neurological Disorders (PhIND), Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Université de Caen Normandie, Caen, France
- Département de Recherche Clinique, CHU de Caen-Normandie, Caen, France
| | | | - Géraldine Poisnel
- Physiopathology and Imaging of Neurological Disorders (PhIND), Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Université de Caen Normandie, Caen, France
| | - Gaël Chételat
- Physiopathology and Imaging of Neurological Disorders (PhIND), Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Université de Caen Normandie, Caen, France
- *Correspondence: Gaël Chételat,
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18
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Kan CN, Xu X, Schmetterer L, Venketasubramanian N, Chen C, Tan CH. Interactions of comorbid neuropsychiatric subsyndromes with neurodegenerative and cerebrovascular pathologies on cognition. Neurobiol Aging 2021; 109:239-246. [PMID: 34814099 DOI: 10.1016/j.neurobiolaging.2021.10.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 09/23/2021] [Accepted: 10/17/2021] [Indexed: 10/20/2022]
Abstract
Comorbid neuropsychiatric symptoms are commonly found in individuals with dementia and is likely influenced by a combination of neurodegenerative and cerebrovascular pathophysiology. We evaluated the associations of a validated composite MRI-based quantitative measure of both neurodegeneration (hippocampus volume and cortical thickness of AD-specific regions) and cerebrovascular disease (CeVD; white matter hyperintensities and infarcts) with neuropsychiatric subsyndromes, and their interactions on cognition in a community-based sample across the disease spectrum (N = 773). Lower composite MRI scores corresponding to greater comorbid neurodegeneration and CeVD burden were associated with hyperactivity (OR = 1.48) and apathy (OR = 1.90) subsyndromes. Lower MRI scores with concomitant hyperactivity was associated with greater cognitive impairment, especially in patients who were at least moderately impaired, while the interaction with apathy was not dependent on disease stage. These MRI scores interaction models resulted in a better fit than models consisting of neurodegeneration or CeVD alone. Integrating multiple biomarkers with specific, disease stage-dependent neuropsychiatric subsyndromes may provide a more holistic risk profile to facilitate the identification of individuals at the highest risk of disease progression.
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Affiliation(s)
- Cheuk Ni Kan
- Memory Aging & Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Xin Xu
- Memory Aging & Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, China
| | - Leopold Schmetterer
- Singapore Eye Research Institute (SERI), Singapore National Eye Center, Singapore; Academic Clinical Program, Duke-NUS Medical School, Singapore; SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore; School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore; Department of Clinical Pharmacology, Medical University Vienna, Vienna, Austria; Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria; Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland
| | | | - Christopher Chen
- Memory Aging & Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chin Hong Tan
- Division of Psychology, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
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19
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Sun Y, Xu W, Chen KL, Shen XN, Tan L, Yu JT. Mild behavioral impairment correlates of cognitive impairments in older adults without dementia: mediation by amyloid pathology. Transl Psychiatry 2021; 11:577. [PMID: 34759274 PMCID: PMC8580970 DOI: 10.1038/s41398-021-01675-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 09/10/2021] [Accepted: 09/27/2021] [Indexed: 12/13/2022] Open
Abstract
The relationship between mild behavioral impairment (MBI) and Alzheimer's disease (AD) is intricate and still not well investigated. The purpose of the study is to examine the roles of the AD imaging pathologies in modulating the associations of MBI with cognitive impairments. We analyzed 1129 participants (563 [49.86%] female), who had measures of Neuropsychiatric Inventory Questionnaire (NPI-Q), cognition, and amyloid PET AD biomarkers from the Alzheimer's disease Neuroimaging Initiative (ADNI). We assess the longitudinal neuropathological and clinical correlates of baseline MBI via linear mixed effects and Cox proportional hazard models. The mediation analyses were used to test the mediation effects of AD pathologies on cognition. We found that MBI was associated with worse global cognition as represented by Mini-Mental State Examination (MMSE) (p < 0.001), and higher β-amyloid burden (p < 0.001). β-amyloid partially mediated the effects of MBI on cognition with the mediation percentage varied from 14.67 to 40.86% for general cognition, memory, executive, and language functions for non-dementia individuals. However, no significant associations were discovered between MBI and tau burden or neurodegeneration. Furthermore, longitudinal analyses revealed that individuals with MBI had a faster increase in brain amyloid burden (p < 0.001) and a higher risk of clinical conversion (HR = 2.42, 95% CI = 1.45 to 4.01 p < 0.001). In conclusion, MBI could be an imperative prediction indicator of clinical and pathological progression. In addition, amyloid pathologies might partially mediate the influences of MBI on cognitive impairments and AD risk.
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Affiliation(s)
- Yan Sun
- grid.410645.20000 0001 0455 0905Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Xu
- grid.410645.20000 0001 0455 0905Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ke-Liang Chen
- grid.8547.e0000 0001 0125 2443Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xue-Ning Shen
- grid.8547.e0000 0001 0125 2443Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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20
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Kwon CY, Lee B. Acupuncture for Behavioral and Psychological Symptoms of Dementia: A Systematic Review and Meta-Analysis. J Clin Med 2021; 10:jcm10143087. [PMID: 34300254 PMCID: PMC8303524 DOI: 10.3390/jcm10143087] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/07/2021] [Accepted: 07/10/2021] [Indexed: 12/31/2022] Open
Abstract
Dementia is an important health issue worldwide, and non-pharmacological strategies for the management of behavioral and psychological symptoms of dementia (BPSD) are considered to be important. This review analyzes the effectiveness and safety of acupuncture for BPSD. Thirteen electronic databases were comprehensively searched to find clinical studies using acupuncture on BPSD, published up to December 2020. Five randomized controlled clinical trials and two before-after studies, mainly on Alzheimer’s disease (AD), were included. Meta-analysis suggested that the total effective rate based on BPSD symptoms in the acupuncture combined with psychotropic drugs group was significantly higher than that in the psychotropic drugs group (risk ratio, 1.27; 95% confidence interval, 1.11 to 1.45; I2 = 51%). In terms of other outcomes related to BPSD, acupuncture as an adjunctive therapy, but not as monotherapy, was associated with significant benefits in most included studies. However, the included studies did not have optimal methodological quality. Our review highlights the limited evidence proving the effectiveness and safety of acupuncture for BPSD in patients with AD. Although some clinical studies have reported the potential benefits of adjuvant acupuncture in managing BPSD, the evidence is not robust and is based on small studies. Therefore, high-quality research in this field is needed.
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Affiliation(s)
- Chan-Young Kwon
- Department of Oriental Neuropsychiatry, Dong-eui University College of Korean Medicine, 52-57 Yangjeong-ro, Busanjin-gu, Busan 47227, Korea
- Correspondence: ; Tel.: +82-51-850-8808
| | - Boram Lee
- Department of Clinical Korean Medicine, Graduate School, Kyung Hee University, 26 Kyunghee-daero, Dongdaemun-gu, Seoul 02447, Korea;
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21
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Chen Y, Dang M, Zhang Z. Brain mechanisms underlying neuropsychiatric symptoms in Alzheimer's disease: a systematic review of symptom-general and -specific lesion patterns. Mol Neurodegener 2021; 16:38. [PMID: 34099005 PMCID: PMC8186099 DOI: 10.1186/s13024-021-00456-1] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 05/11/2021] [Indexed: 12/16/2022] Open
Abstract
Neuropsychiatric symptoms (NPSs) are common in patients with Alzheimer's disease (AD) and are associated with accelerated cognitive impairment and earlier deaths. This review aims to explore the neural pathogenesis of NPSs in AD and its association with the progression of AD. We first provide a literature overview on the onset times of NPSs. Different NPSs occur in different disease stages of AD, but most symptoms appear in the preclinical AD or mild cognitive impairment stage and develop progressively. Next, we describe symptom-general and -specific patterns of brain lesions. Generally, the anterior cingulate cortex is a commonly damaged region across all symptoms, and the prefrontal cortex, especially the orbitofrontal cortex, is also a critical region associated with most NPSs. In contrast, the anterior cingulate-subcortical circuit is specifically related to apathy in AD, the frontal-limbic circuit is related to depression, and the amygdala circuit is related to anxiety. Finally, we elucidate the associations between the NPSs and AD by combining the onset time with the neural basis of NPSs.
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Affiliation(s)
- Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875 China
- BABRI Centre, Beijing Normal University, Beijing, 100875 China
| | - Mingxi Dang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875 China
- BABRI Centre, Beijing Normal University, Beijing, 100875 China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875 China
- BABRI Centre, Beijing Normal University, Beijing, 100875 China
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Matuskova V, Ismail Z, Nikolai T, Markova H, Cechova K, Nedelska Z, Laczo J, Wang M, Hort J, Vyhnalek M. Mild Behavioral Impairment Is Associated With Atrophy of Entorhinal Cortex and Hippocampus in a Memory Clinic Cohort. Front Aging Neurosci 2021; 13:643271. [PMID: 34108874 PMCID: PMC8180573 DOI: 10.3389/fnagi.2021.643271] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 04/16/2021] [Indexed: 12/22/2022] Open
Abstract
Objectives Mild behavioral impairment (MBI) is a syndrome describing late-onset persistent neuropsychiatric symptoms (NPS) in non-demented older adults. Few studies to date have investigated the associations of MBI with structural brain changes. Our aim was to explore structural correlates of NPS in a non-demented memory clinic sample using the Mild Behavioral Impairment Checklist (MBI-C) that has been developed to measure MBI. Methods One hundred sixteen non-demented older adults from the Czech Brain Aging Study with subjective cognitive concerns were classified as subjective cognitive decline (n = 37) or mild cognitive impairment (n = 79). Participants underwent neurological and neuropsychological examinations and brain magnetic resonance imaging (MRI) (1.5 T). The Czech version of the MBI-C was administered to participants’ informants. Five a priori selected brain regions were measured, namely, thicknesses of the orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), posterior cingulate cortex (PCC), and entorhinal cortex (ERC) and volume of the hippocampus (HV), and correlated with MBI-C total and domain scores. Results Entorhinal cortex was associated with MBI-C total score (rS = −0.368, p < 0.001) and with impulse dyscontrol score (rS = −0.284, p = 0.002). HV was associated with decreased motivation (rS = −0.248, p = 0.008) and impulse dyscontrol score (rS = −0.240, p = 0.011). Conclusion Neuropsychiatric symptoms, particularly in the MBI impulse dyscontrol and motivation domains, are associated with medial temporal lobe atrophy in a clinical cohort of non-demented older adults. This study supports earlier involvement of temporal rather than frontal regions in NPS manifestation. Since these regions are typically affected early in the course of Alzheimer’s disease (AD), the MBI-C may potentially help further identify individuals at-risk of developing AD dementia.
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Affiliation(s)
- Veronika Matuskova
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Zahinoor Ismail
- Department of Psychiatry, Cumming School of Medicine, Calgary, AB, Canada.,Department of Clinical Neurosciences, Cumming School of Medicine, Calgary, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, Calgary, AB, Canada.,Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Tomas Nikolai
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Hana Markova
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Katerina Cechova
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Zuzana Nedelska
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Jan Laczo
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Meng Wang
- Department of Clinical Neurosciences, Cumming School of Medicine, Calgary, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, Calgary, AB, Canada
| | - Jakub Hort
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Martin Vyhnalek
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
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Yasuno F, Minami H, Hattori H. Relationship between neuropsychiatric symptoms and Alzheimer's disease pathology: An in vivo positron emission tomography study. Int J Geriatr Psychiatry 2021; 36:598-605. [PMID: 33165946 PMCID: PMC7933053 DOI: 10.1002/gps.5459] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/15/2020] [Accepted: 11/01/2020] [Indexed: 11/11/2022]
Abstract
OBJECTIVES To investigate the relationship between amyloid-β- and tau-based Alzheimer's disease (AD) pathologies assessed using positron emission tomography imaging and neuropsychiatric symptoms (NPS) in a sample of AD continuum including clinically normal subjects and patients with mild cognitive impairment or AD. METHODS We analyzed datasets of the Alzheimer's disease Neuroimaging Initiative and included amyloid-positive subjects who underwent an AV-45 scan within 1 year of an AV-1451 scan (n = 99). Correlation between standardized uptake value ratio (SUVR) of AV-45 and AV-1451 and the Neuropsychiatric Inventory (NPI) score (and its four domain subscores for hyperactivity, psychosis, affective, and apathy) was evaluated. Stepwise logistic regression analysis was used to examine the influence of SUVRs on the presence of NPS. SUVRs were also tested for their ability to discriminate the group with NPS using receiver operating characteristic (ROC) curve analyses. RESULTS Significant positive relationships were found between the total NPI score and affective symptoms and Braak 1&2 (transentorhinal region) AV-1451 SUVR. Stepwise logistic regression analysis identified tau accumulation in the area of Braak 1&2 as a significant covariate discriminating the presence of affective symptoms. The area under the ROC curve analysis showed that subjects with affective symptoms were discriminated by AV-1451 SUVR with an accuracy of 77.7%. CONCLUSIONS Tau aggregation in the transentorhinal region, where neurodegeneration affected by tau pathology was seen in the early stage of AD, correlated with more severe NPS, especially affective symptoms. Therefore, tau pathology in the transentorhinal cortex might be associated with affective symptoms in the early stage of AD.
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Affiliation(s)
- Fumihiko Yasuno
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan,Correspondence to: Fumihiko Yasuno, MD, PhD, Department of Psychiatry, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho Obu, Aichi 474-8511, Japan. Tel.: +81-562-46-2311; Fax: +81-562-44-8518;
| | - Hiroyuki Minami
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hideyuki Hattori
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
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Trait anxiety, a personality risk factor associated with Alzheimer's Disease. Prog Neuropsychopharmacol Biol Psychiatry 2021; 105:110124. [PMID: 33035604 DOI: 10.1016/j.pnpbp.2020.110124] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 09/24/2020] [Accepted: 10/02/2020] [Indexed: 12/25/2022]
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disease in elderly population and the leading cause of dementia worldwide. While senile plaques and neurofibrillary tangles have been proposed as the principal histopathologic hallmarks of AD, the exact etiology of this disease is still far from being clearly understood. AD has been recognized as pathological consequences of complex interactions among genetic, aging, medical, life style and psychosocial factors. Recently, the roles of neuroticism personality traits in AD incidence and progression have come into focus. More specifically, increasing evidence has further shown that the trait anxiety, one major component of neuroticism predicting the individual vulnerability in response to stress, is a risk factor for AD and may correlated with various AD pathologies. In this review, we summarized recent literature on the association of trait anxiety with AD. We also discussed the possible neuroendocrinological and neurochemical mechanisms of this association, which may provide clinical implications for AD diagnosis and therapy.
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25
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Tamil Selvan S, Ravichandar R, Kanta Ghosh K, Mohan A, Mahalakshmi P, Gulyás B, Padmanabhan P. Coordination chemistry of ligands: Insights into the design of amyloid beta/tau-PET imaging probes and nanoparticles-based therapies for Alzheimer’s disease. Coord Chem Rev 2021. [DOI: 10.1016/j.ccr.2020.213659] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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26
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Fagiani F, Lanni C, Racchi M, Govoni S. (Dys)regulation of Synaptic Activity and Neurotransmitter Release by β-Amyloid: A Look Beyond Alzheimer's Disease Pathogenesis. Front Mol Neurosci 2021; 14:635880. [PMID: 33716668 PMCID: PMC7943918 DOI: 10.3389/fnmol.2021.635880] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 01/25/2021] [Indexed: 01/08/2023] Open
Abstract
Beside its widely studied role in the pathogenesis of Alzheimer's disease (AD), β-amyloid (Aβ) is a normal and soluble product of neuronal metabolism that regulates several key physiological functions, exerting neuromodulatory effects on synaptic plasticity, memory, and neurotransmitter release. Such effects have been observed to occur in a hormetic fashion, with Aβ exhibiting a dual role influenced by its concentration, the different isoforms, or aggregation forms of the peptide. However, to date, our knowledge about the physiological functions of Aβ and, in particular, its modulatory role on synaptic activity and neurotransmission in the normal brain is fragmentary, thus hindering a clear comprehension of the biological mechanisms underlying the derangement from function to dysfunction. In particular, according to the amyloid cascade hypothesis, the switch from physiology to pathology is linked to the abnormal increase in Aβ levels, due to an imbalance in Aβ production and clearance. In this regard, increased Aβ levels have been hypothesized to induce early defects in synaptic function and such alterations have been suggested to account, at least in part, for the onset of neuropsychiatric symptoms (e.g., apathy, anxiety, changes in mood, depression, and agitation/aggression), frequently observed in the prodromal stage of AD. Therefore, understanding the biological mechanisms underlying early synaptic alterations in AD is a key starting point to frame the relevant time windows for AD treatment and to gain insight into AD etiopathogenesis.
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Affiliation(s)
- Francesca Fagiani
- Department of Drug Sciences, Pharmacology Section, University of Pavia, Pavia, Italy.,Istituto Universitario di Studi Superiori - IUSS, Pavia, Italy
| | - Cristina Lanni
- Department of Drug Sciences, Pharmacology Section, University of Pavia, Pavia, Italy
| | - Marco Racchi
- Department of Drug Sciences, Pharmacology Section, University of Pavia, Pavia, Italy
| | - Stefano Govoni
- Department of Drug Sciences, Pharmacology Section, University of Pavia, Pavia, Italy
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27
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Patel P, Masurkar AV. The Relationship of Anxiety with Alzheimer's Disease: A Narrative Review. Curr Alzheimer Res 2021; 18:359-371. [PMID: 34429045 DOI: 10.2174/1567205018666210823095603] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 03/18/2021] [Accepted: 04/05/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND There is an increased effort to better understand neuropsychiatric symptoms of Alzheimer's Disease (AD) as an important feature of symptomatic burden as well as potential modifiable factors of the disease process. Anxiety is one of the most common neuropsychiatric symptoms in Alzheimer's Disease (AD). A growing body of work has emerged that addresses the epidemiology and biological correlations of anxiety in AD. METHODS Here, we review human studies in research and clinical cohorts that examined anxiety in AD. We focused on work related to prevalence across AD stages, correlation with established biomarkers, relationship with AD neuropathology and genetic risk factors, and impact on progression. RESULTS Anxiety is prominent in the early stages and increases across the spectrum of functional stages. Biomarker relationships are strongest at the level of FDG-PET and amyloid measured via PET or cerebrospinal fluid analysis. Neuropathologically, anxiety emerges with early Braak stage tau pathology. The presence of the apolipoprotein E e4 allele is associated with increased anxiety at all stages, most notably at mild cognitive impairment. Anxiety portended a faster progression at all predementia stages. CONCLUSION This body of work suggests a close biological relationship between anxiety and AD that begins in early stages and influences functional decline. As such, we discuss future work that would improve our understanding of this relationship and test the validity of anxiolytic treatment as disease modifying therapy for AD.
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Affiliation(s)
- Palak Patel
- Department of Neurology, School of Medicine, New York University, New York, NY, United States
| | - Arjun V Masurkar
- Department of Neurology, School of Medicine, New York University, New York, NY, United States
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28
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Lussier FZ, Pascoal TA, Chamoun M, Therriault J, Tissot C, Savard M, Kang MS, Mathotaarachchi S, Benedet AL, Parsons M, Qureshi MNI, Thomas ÉM, Shin M, Dion LA, Massarweh G, Soucy JP, Tsai IH, Vitali P, Ismail Z, Rosa-Neto P, Gauthier S. Mild behavioral impairment is associated with β-amyloid but not tau or neurodegeneration in cognitively intact elderly individuals. Alzheimers Dement 2020; 16:192-199. [PMID: 31914223 PMCID: PMC7041633 DOI: 10.1002/alz.12007] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 11/18/2019] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Mild behavioral impairment (MBI) is characterized by the emergence of neuropsychiatric symptoms in elderly persons. Here, we examine the associations between MBI and Alzheimer's disease (AD) biomarkers in asymptomatic elderly individuals. METHODS Ninety-six cognitively normal elderly individuals underwent MRI, [18 F]AZD4694 β-amyloid-PET, and [18 F]MK6240 tau-PET. MBI was assessed using the MBI Checklist (MBI-C). Pearson's correlations and voxel-based regressions were used to evaluate the relationship between MBI-C score and [18 F]AZD4694 retention, [18 F]MK6240 retention, and gray matter (GM) volume. RESULTS Pearson correlations revealed a positive relationship between MBI-C score and global and striatal [18 F]AZD4694 standardized uptake value ratios (SUVRs). Voxel-based regression analyses revealed a positive correlation between MBI-C score and [18 F]AZD4694 retention. No significant correlations were found between MBI-C score and [18 F]MK6240 retention or GM volume. CONCLUSION We demonstrate for the first time a link between MBI and early AD pathology in a cognitively intact elderly population, supporting the use of the MBI-C as a metric to enhance clinical trial enrolment.
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Affiliation(s)
- Firoza Z Lussier
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Tharick A Pascoal
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Mira Chamoun
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Joseph Therriault
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Cécile Tissot
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Mélissa Savard
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada
| | - Min Su Kang
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.,Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Sulantha Mathotaarachchi
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada
| | - Andrea L Benedet
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Marlee Parsons
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Muhammad Naveed Iqbal Qureshi
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Émilie M Thomas
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Monica Shin
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Laurie-Anne Dion
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada
| | - Gassan Massarweh
- Montreal Neurological Institute, Montreal, Quebec, Canada.,Department of Radiochemistry, McGill University, Montreal, Quebec, Canada
| | - Jean-Paul Soucy
- Montreal Neurological Institute, Montreal, Quebec, Canada.,Department of Radiochemistry, McGill University, Montreal, Quebec, Canada
| | - I-Huang Tsai
- Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Paolo Vitali
- Alzheimer's Disease Research Unit, The McGill University Research Centre for Studies in Aging, Verdun, Quebec, Canada
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.,Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Serge Gauthier
- Alzheimer's Disease Research Unit, The McGill University Research Centre for Studies in Aging, Verdun, Quebec, Canada
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Krell-Roesch J, Syrjanen JA, Rakusa M, Vemuri P, Machulda MM, Kremers WK, Mielke MM, Lowe VJ, Jack CR, Knopman DS, Stokin GB, Petersen RC, Vassilaki M, Geda YE. Association of Cortical and Subcortical β-Amyloid With Standardized Measures of Depressive and Anxiety Symptoms in Adults Without Dementia. J Neuropsychiatry Clin Neurosci 2020; 33:64-71. [PMID: 33086924 PMCID: PMC7856245 DOI: 10.1176/appi.neuropsych.20050103] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The purpose of this study was to test the hypothesis that subcortical β-amyloid (Aβ) deposition was associated with elevated scores on standardized measures of depressive and anxiety symptoms when compared with cortical (Aβ) deposition in persons without dementia. METHODS The authors performed a cross-sectional study, derived from the population-based Mayo Clinic Study of Aging, comprising participants aged ≥70 years (N=1,022; 55% males; 28% apolipoprotein E [APOE] ε4 carriers; without cognitive impairment, N=842; mild cognitive impairment; N=180). To assess Aβ deposition in cortical and subcortical (the amygdala, striatum, and thalamus) regions, participants underwent Pittsburgh Compound B positron emission tomography (PiB-PET) and completed the Beck Depression Inventory-II (BDI-II) and the Beck Anxiety Inventory (BAI). The investigators ran linear regression models to examine the association between PiB-PET standardized uptake value ratios (SUVRs) in the neocortex and subcortical regions and depressive and anxiety symptoms (BDI-II and BAI total scores). Models were adjusted for age, sex, education level, and APOE ε4 carrier status and stratified by cognitive status (without cognitive impairment, mild cognitive impairment). RESULTS Cortical PiB-PET SUVRs were associated with depressive symptoms (β=0.57 [SE=0.13], p<0.001) and anxiety symptoms (β=0.34 [SE=0.13], p=0.011). PiB-PET SUVRs in the amygdala were associated only with depressive symptoms (β=0.80 [SE=0.26], p=0.002). PiB-PET SUVRs in the striatum and thalamus were associated with depressive symptoms (striatum: β=0.69 [SE=0.18], p<0.001; thalamus: β=0.61 [SE=0.24], p=0.011) and anxiety symptoms (striatum: β=0.56 [SE=0.18], p=0.002; thalamus: β=0.65 [SE=0.24], p=0.008). In the mild cognitive impairment subsample, Aβ deposition, regardless of neuroanatomic location, was associated with depressive symptoms but not anxiety symptoms. CONCLUSIONS Elevated amyloid deposition in cortical and subcortical brain regions was associated with higher depressive and anxiety symptoms, although these findings did not significantly differ by cortical versus subcortical Aβ deposition. This cross-sectional observation needs to be confirmed by a longitudinal study.
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Affiliation(s)
- Janina Krell-Roesch
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Jeremy A Syrjanen
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Martin Rakusa
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Prashanthi Vemuri
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Mary M Machulda
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Walter K Kremers
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Michelle M Mielke
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Val J Lowe
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Clifford R Jack
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - David S Knopman
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Gorazd B Stokin
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Ronald C Petersen
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Maria Vassilaki
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Yonas E Geda
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
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Wells RE, Kerr C, Dossett ML, Danhauer SC, Sohl SJ, Sachs BC, Feeley JW, Wolkin J, Wall R, Kaptchuk T, Press DZ, Phillips RS, Yeh GY. Can Adults with Mild Cognitive Impairment Build Cognitive Reserve and Learn Mindfulness Meditation? Qualitative Theme Analyses from a Small Pilot Study. J Alzheimers Dis 2020; 70:825-842. [PMID: 31282418 DOI: 10.3233/jad-190191] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND/OBJECTIVE High levels of chronic stress negatively impact the hippocampus and are associated with increased incidence of mild cognitive impairment (MCI) and Alzheimer's disease. While mindfulness meditation may mitigate the effects of chronic stress, it is uncertain if adults with MCI have the capacity to learn mindfulness meditation. METHODS 14 adults with MCI were randomized 2:1 to Mindfulness Based Stress Reduction (MBSR) or a wait-list control group. We conducted qualitative interviews with those who completed MBSR. Transcribed interviews were: a) coded using an emergent themes inductive approach informed by grounded theory; b) rated 0-10, with higher scores reflecting greater perceived benefit from, and understanding of, mindfulness meditation. Ratings were correlated with daily home practice times and baseline level of cognitive function. RESULTS Seven themes emerged from the interviews: positive perceptions of class; development of mindfulness skills, including meta-cognition; importance of the group experience; enhanced well-being; shift in MCI perspective; decreased stress reactivity and increased relaxation; improvement in interpersonal skills. Ratings of perceived benefit and understanding ranged from 2-10 (mean = 7) and of 0-9.5 (mean = 6), respectively. Many participants experienced substantial benefit/understanding, some had moderate, and a few had minimal benefit/understanding. Understanding the key concepts of mindfulness was highly positively correlated with ≥20 minutes/day of home practice (r = 0.90) but not with baseline cognitive function (r = 0.13). CONCLUSIONS Most adults with MCI were able to learn mindfulness meditation and had improved MCI acceptance, self-efficacy, and social engagement. Cognitive reserve may be enhanced through a mindfulness meditation program even in patients with MCI.
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Affiliation(s)
- Rebecca Erwin Wells
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Catherine Kerr
- Department of Family Medicine and Mindfulness-Wellness Program, Brown University School of Medicine, Providence, RI, USA
| | - Michelle L Dossett
- Department of Medicine and Benson-Henry Institute for Mind Body Medicine, Division of General Internal Medicine, Massachusetts General Hospital; and Harvard Medical School, Boston, MA, USA
| | - Suzanne C Danhauer
- Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Stephanie J Sohl
- Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Bonnie C Sachs
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jacquelyn Walsh Feeley
- Graduate School of Nursing, University of Massachusetts Medical School, Worcester, MA, USA
| | | | - Robert Wall
- Mclean Hospital Borden Cottage, Camden, ME, USA
| | - Ted Kaptchuk
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Daniel Z Press
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Russell S Phillips
- Department of Medicine, Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Gloria Y Yeh
- Department of Medicine, Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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Caraci F, Santagati M, Caruso G, Cannavò D, Leggio GM, Salomone S, Drago F. New antipsychotic drugs for the treatment of agitation and psychosis in Alzheimer's disease: focus on brexpiprazole and pimavanserin. F1000Res 2020; 9. [PMID: 32695312 PMCID: PMC7344175 DOI: 10.12688/f1000research.22662.1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/03/2020] [Indexed: 12/17/2022] Open
Abstract
Behavioral and psychological symptoms of dementia are symptoms of disturbed perception, mood, behavior, and thought content that occurred frequently. These symptoms, which include apathy, depression, anxiety, psychosis, agitation, and aggression, can serve as predictors of and early clinical diagnostic markers for Alzheimer's disease (AD) and are common precipitants of institutional care. Agitation and psychosis are associated with accelerated disease progression and increased tau phosphorylation in patients with AD. Current guidelines recommend the use of second-generation antipsychotics for the treatment of agitation and psychosis in AD, but only after first-line non-pharmacological interventions and for no longer than 12 weeks because long-term use of these drugs is associated with an increased risk of mortality and an increased frequency of cerebrovascular events. Therefore, new antipsychotic drugs with improved efficacy and safety are needed as an alternative to current antipsychotic drugs. In this report, we discuss some of the most relevant advances in the field of agitation and psychosis in AD and focus on the recent positive clinical evidence observed with two new antipsychotics drugs: brexpiprazole and pimavanserin. Brexpiprazole is a receptor partial agonist (D2, D3, 5-HT1A), receptor antagonist (5-HT2A/B, α1B/α2C) according to the neuroscience-based nomenclature. Two recent phase III clinical trials have shown that brexpiprazole 2 mg/day is effective for the treatment of agitation in patients with AD and has an improved tolerability and safety profile compared with currently available second-generation antipsychotics. Pimavanserin is a receptor antagonist (5-HT2A, 5-HT2C) that has been given market authorization for psychosis occurring in Parkinson's disease. Recent phase II studies suggest that this drug is effective in AD patients with more severe psychosis, although further long-term studies are needed to better define the efficacy and long-term safety profile of pimavanserin for the treatment of psychosis in AD.
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Affiliation(s)
- Filippo Caraci
- Department of Drug Sciences, University of Catania, Viale Andrea Doria 6, 95125, Catania, Italy.,Oasi Research Institute - IRCCS, Via Conte Ruggero 73, 94018, Troina, Italy
| | - Mario Santagati
- ASP3 Catania, Department of Mental Health, Alzheimer Psychogeriatric Center Corso Italia 234, 95127, Catania, Italy
| | - Giuseppe Caruso
- Oasi Research Institute - IRCCS, Via Conte Ruggero 73, 94018, Troina, Italy
| | - Dario Cannavò
- ASP3 Catania, Department of Mental Health, Alzheimer Psychogeriatric Center Corso Italia 234, 95127, Catania, Italy
| | - Gian Marco Leggio
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia 89, 95123, Catania, Italy
| | - Salvatore Salomone
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia 89, 95123, Catania, Italy
| | - Filippo Drago
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia 89, 95123, Catania, Italy
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32
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Kempuraj D, Ahmed ME, Selvakumar GP, Thangavel R, Raikwar SP, Zaheer SA, Iyer SS, Burton C, James D, Zaheer A. Psychological Stress-Induced Immune Response and Risk of Alzheimer's Disease in Veterans from Operation Enduring Freedom and Operation Iraqi Freedom. Clin Ther 2020; 42:974-982. [PMID: 32184013 PMCID: PMC7308186 DOI: 10.1016/j.clinthera.2020.02.018] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 02/19/2020] [Accepted: 02/22/2020] [Indexed: 12/26/2022]
Abstract
PURPOSE Psychological stress is a significant health problem in veterans and their family members. Traumatic brain injury (TBI) and stress lead to the onset, progression, and worsening of several inflammatory and neurodegenerative diseases in veterans and civilians. Alzheimer's disease (AD) is a progressive, irreversible neuroinflammatory disease that causes problems with memory, thinking, and behavior. TBIs and chronic psychological stress cause and accelerate the pathology of neuroinflammatory diseases such as AD. However, the precise molecular and cellular mechanisms governing neuroinflammation and neurodegeneration are currently unknown, especially in veterans. The purpose of this review article was to advance the hypothesis that stress and TBI-mediated immune response substantially contribute and accelerate the pathogenesis of AD in veterans and their close family members and civilians. METHODS The information in this article was collected and interpreted from published articles in PubMed between 1985 and 2020 using the key words stress, psychological stress, Afghanistan war, Operation Enduring Freedom (OEF), Iraq War, Operation Iraqi Freedom (OIF), Operation New Dawn (OND), traumatic brain injury, mast cell and stress, stress and neuroimmune response, stress and Alzheimer's disease, traumatic brain injury, and Alzheimer's disease. FINDINGS Chronic psychological stress and brain injury induce the generation and accumulation of beta-amyloid peptide, amyloid plaques, neurofibrillary tangles, and phosphorylation of tau in the brain, thereby contributing to AD pathogenesis. Active military personnel and veterans are under enormous psychological stress due to various war-related activities, including TBIs, disabilities, fear, new environmental conditions, lack of normal life activities, insufficient communications, explosions, military-related noise, and health hazards. Brain injury, stress, mast cell, and other immune cell activation can induce headache, migraine, dementia, and upregulate neuroinflammation and neurodegeneration in veterans of Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn. TBIs, posttraumatic stress disorder, psychological stress, pain, glial activation, and dementia in active military personnel, veterans, or their family members can cause AD several years later in their lives. We suggest that there are increasing numbers of veterans with TBIs and stress and that these veterans may develop AD late in life if no appropriate therapeutic intervention is available. IMPLICATIONS Per these published reports, the fact that TBIs and psychological stress can accelerate the pathogenesis of AD should be recognized. Active military personnel, veterans, and their close family members should be evaluated regularly for stress symptoms to prevent the pathogenesis of neurodegenerative diseases, including AD.
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Affiliation(s)
- Duraisamy Kempuraj
- Harry S. Truman Memorial Veterans Hospital, US Department of Veterans Affairs, Columbia, MO, USA; Department of Neurology, School of Medicine, University of Missouri, Columbia, MO, USA; Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
| | - Mohammad Ejaz Ahmed
- Harry S. Truman Memorial Veterans Hospital, US Department of Veterans Affairs, Columbia, MO, USA; Department of Neurology, School of Medicine, University of Missouri, Columbia, MO, USA; Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Govindhasamy Pushpavathi Selvakumar
- Harry S. Truman Memorial Veterans Hospital, US Department of Veterans Affairs, Columbia, MO, USA; Department of Neurology, School of Medicine, University of Missouri, Columbia, MO, USA; Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Ramasamy Thangavel
- Harry S. Truman Memorial Veterans Hospital, US Department of Veterans Affairs, Columbia, MO, USA; Department of Neurology, School of Medicine, University of Missouri, Columbia, MO, USA; Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Sudhanshu P Raikwar
- Harry S. Truman Memorial Veterans Hospital, US Department of Veterans Affairs, Columbia, MO, USA; Department of Neurology, School of Medicine, University of Missouri, Columbia, MO, USA; Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Smita A Zaheer
- Department of Neurology, School of Medicine, University of Missouri, Columbia, MO, USA; Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Shankar S Iyer
- Harry S. Truman Memorial Veterans Hospital, US Department of Veterans Affairs, Columbia, MO, USA; Department of Neurology, School of Medicine, University of Missouri, Columbia, MO, USA; Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA
| | | | | | - Asgar Zaheer
- Harry S. Truman Memorial Veterans Hospital, US Department of Veterans Affairs, Columbia, MO, USA; Department of Neurology, School of Medicine, University of Missouri, Columbia, MO, USA; Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
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Abstract
REASONS FOR THE STUDY The Neuropsychiatric Inventory (NPI) has been used for studies of neuropsychiatric symptoms in neurodegenerative disorders for the past 25 years. This article reviews the history of the development and application of the NPI. MAIN FINDINGS The NPI consists of 10 (or 12) items that are assayed with questions, subquestions, and ratings of frequency and severity. The NPI has been shown to be valid and reliable. The NPI has been translated into approximately 40 languages; it has 4 of versions designed for different clinical applications. The NPI studies show contrasting profiles of behavioral symptoms in different neurologic disorders. The NPI has been used in approximately 350 clinical trials. In economic studies, the NPI captures the cost of behavioral symptoms in dementias. PRINCIPLE CONCLUSIONS The NPI is a useful instrument for capturing behavioral changes in Alzheimer disease and other neurodegenerative disorders.
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Affiliation(s)
- Jeffrey Cummings
- Department of Brain Health, School of integrated Health Sciences, UNLV, Las Vegas, NV, USA,Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, USA
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34
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Yoo HS, Lee S, Chung SJ, Lee YH, Ye BS, Sohn YH, Yun M, Lee PH. Clinical and striatal dopamine transporter predictors of β-amyloid in dementia with Lewy bodies. Neurology 2020; 94:e1344-e1352. [PMID: 32086384 DOI: 10.1212/wnl.0000000000009168] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Accepted: 11/06/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the relationship between β-amyloid (Aβ) deposition and striatal dopamine depletion, cognitive functions, and neuropsychiatric symptoms in dementia with Lewy bodies (DLB). METHODS We consecutively recruited 51 patients with DLB who had undergone a neuropsychological test, Neuropsychiatric Inventory assessment, brain MRI, N-(3-[18F]fluoropropyl)-2β-carbon ethoxy-3β-(4-iodophenyl) PET, and 18F-florbetaben PET within 6 months. The patients were divided into Aβ-negative (DLB-Aβ-, n = 20) and Aβ-positive (DLB-Aβ+, n = 31) groups according to the brain amyloid plaque load score. We performed comparative analyses of dopamine transporter (DAT) activity, neuropsychological profile, and neuropsychiatric symptoms between the 2 groups. RESULTS Compared to the DLB-Aβ- group, the DLB-Aβ+ group had a younger age at diagnosis (p = 0.017), poorer performance in attention (p = 0.028) and visuospatial (p = 0.006) functions, and higher proportion of anxiety (p = 0.006) and total neuropsychiatric burden (p = 0.013). Those in the DLB-Aβ+ group also had lower DAT activity in the anterior putamen (p = 0.015) and ventral striatum (p = 0.006) regardless of age, sex, and years of education. In addition, lower DAT activity in the ventral striatum was significantly associated with anxiety and total neuropsychiatric burden in DLB. CONCLUSIONS This study demonstrated that Aβ deposition in DLB is associated with diagnosis at a younger age, higher cognitive and neuropsychiatric burden, and decreased DAT activity, suggesting that evaluation of clinical features and DAT activity can predict the presence of Aβ in DLB.
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Affiliation(s)
- Han Soo Yoo
- From the Department of Neurology (H.S.Y., S.J.C., Y.H.L., B.S.Y., Y.H.S., P.H.L.), the Department of Nuclear Medicine (S.L., M.Y.), and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Sangwon Lee
- From the Department of Neurology (H.S.Y., S.J.C., Y.H.L., B.S.Y., Y.H.S., P.H.L.), the Department of Nuclear Medicine (S.L., M.Y.), and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea.
| | - Seok Jong Chung
- From the Department of Neurology (H.S.Y., S.J.C., Y.H.L., B.S.Y., Y.H.S., P.H.L.), the Department of Nuclear Medicine (S.L., M.Y.), and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Yang Hyun Lee
- From the Department of Neurology (H.S.Y., S.J.C., Y.H.L., B.S.Y., Y.H.S., P.H.L.), the Department of Nuclear Medicine (S.L., M.Y.), and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea.
| | - Byoung Seok Ye
- From the Department of Neurology (H.S.Y., S.J.C., Y.H.L., B.S.Y., Y.H.S., P.H.L.), the Department of Nuclear Medicine (S.L., M.Y.), and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Young H Sohn
- From the Department of Neurology (H.S.Y., S.J.C., Y.H.L., B.S.Y., Y.H.S., P.H.L.), the Department of Nuclear Medicine (S.L., M.Y.), and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea
| | - Mijin Yun
- From the Department of Neurology (H.S.Y., S.J.C., Y.H.L., B.S.Y., Y.H.S., P.H.L.), the Department of Nuclear Medicine (S.L., M.Y.), and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea.
| | - Phil Hyu Lee
- From the Department of Neurology (H.S.Y., S.J.C., Y.H.L., B.S.Y., Y.H.S., P.H.L.), the Department of Nuclear Medicine (S.L., M.Y.), and Severance Biomedical Science Institute (P.H.L.), Yonsei University College of Medicine, Seoul, South Korea.
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35
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Apathy and anxiety are early markers of Alzheimer's disease. Neurobiol Aging 2020; 85:74-82. [DOI: 10.1016/j.neurobiolaging.2019.10.008] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 10/11/2019] [Accepted: 10/12/2019] [Indexed: 01/03/2023]
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Goukasian N, Hwang KS, Romero T, Grotts J, Do TM, Groh JR, Bateman DR, Apostolova LG. Association of brain amyloidosis with the incidence and frequency of neuropsychiatric symptoms in ADNI: a multisite observational cohort study. BMJ Open 2019; 9:e031947. [PMID: 31857304 PMCID: PMC6937083 DOI: 10.1136/bmjopen-2019-031947] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVE To investigate the relationship between amyloid burden and frequency of existing and incidence of new neuropsychiatric symptoms (NPS) in elderly with and without cognitive decline. METHODS 275 cognitively normal controls (NC), 100 subjective memory complaint (SMC), 559 mild cognitive impairment (MCI) and 143 Alzheimer's disease dementia subjects from the Alzheimer's Disease Neuroimaging Initiative received (18F)-florbetapir positron emission tomography (PET) scans. Yearly neuropsychiatric inventory (Neuropsychiatric Inventory (NPI)/NPI-Questionnaire) data were collected from the study partners at each visit. Mean standard uptake volume ratios (SUVR) normalised to whole cerebellum were obtained. Positive amyloid PET scan was defined as mean SUVR ≥1.17. Fisher's exact test was used to compare frequency and incidence between amyloid positive and amyloid negative subjects. Survival analyses were used to estimate of neuropsychiatric symptoms (NPS) between amyloid positive and amyloid negative subjects. Survival analyses were used to estimate hazard ratios for developing the most common NPS by amyloid status. RESULTS No differences in NPS frequency were seen between amyloid positive and amyloid negative NC, SMC, MCI or dementia groups. MCI subjects with amyloid pathology however tended to have greater frequency x severity (FxS) of anxiety, hallucinations, delusions, apathy, disinhibition, irritability, aberrant motor behavior, and appetite, but not agitation, depression, night-time disturbances, or elation. MCI subjects with amyloid pathology were at greater risk for developing apathy, anxiety and agitation over time. Baseline presence of agitation and apathy and new onset agitation, irritability and apathy predicted faster conversion to dementia among MCI subjects. CONCLUSIONS Amyloid pathology is associated with greater rate of development of new NPS in MCI. Anxiety and delusions are significant predictors of amyloid pathology. Agitation, irritability and apathy are significant predictors for conversion from MCI to dementia.
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Affiliation(s)
| | - Kristy S Hwang
- Neurology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Tamineh Romero
- Medicine Statistics Core, University of California Los Angeles, Los Angeles, California, USA
| | - Jonathan Grotts
- Medicine Statistics Core, University of California Los Angeles, Los Angeles, California, USA
| | - Triet M Do
- Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Jenna R Groh
- Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Daniel R Bateman
- Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Liana G Apostolova
- Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Ehrenberg AJ, Suemoto CK, França Resende EDP, Petersen C, Leite REP, Rodriguez RD, Ferretti-Rebustini REDL, You M, Oh J, Nitrini R, Pasqualucci CA, Jacob-Filho W, Kramer JH, Gatchel JR, Grinberg LT. Neuropathologic Correlates of Psychiatric Symptoms in Alzheimer's Disease. J Alzheimers Dis 2019; 66:115-126. [PMID: 30223398 DOI: 10.3233/jad-180688] [Citation(s) in RCA: 144] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Clarifying the relationships between neuropsychiatric symptoms and Alzheimer's disease (AD)-related pathology may open avenues for effective treatments. Here, we investigate the odds of developing neuropsychiatric symptoms across increasing burdens of neurofibrillary tangle and amyloid-β pathology. Participants who passed away between 2004 and 2014 underwent comprehensive neuropathologic evaluation at the Biobank for Aging Studies from the Faculty of Medicine at the University of São Paulo. Postmortem interviews with reliable informants were used to collect information regarding neuropsychiatric and cognitive status. Of 1,092 cases collected, those with any non-Alzheimer pathology were excluded, bringing the cohort to 455 cases. Braak staging was used to evaluate neurofibrillary tangle burden, and the CERAD neuropathology score was used to evaluate amyloid-β burden. The 12-item neuropsychiatric inventory was used to evaluate neuropsychiatric symptoms and CDR-SOB score was used to evaluate dementia status. In Braak I/II, significantly increased odds were detected for agitation, anxiety, appetite changes, depression, and sleep disturbances, compared to controls. Increased odds of agitation continue into Braak III/IV. Braak V/VI is associated with higher odds for delusions. No increased odds for neuropsychiatric symptoms were found to correlate with amyloid-β pathology. Increased odds of neuropsychiatric symptoms are associated with early neurofibrillary tangle pathology, suggesting that subcortical neurofibrillary tangle accumulation with minimal cortical pathology is sufficient to impact quality of life and that neuropsychiatric symptoms are a manifestation of AD biological processes.
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Affiliation(s)
- Alexander J Ehrenberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | | | - Elisa de Paula França Resende
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Cathrine Petersen
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | - Michelle You
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jun Oh
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | - Joel H Kramer
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | | | - Lea T Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,University of São Paulo Medical School, São Paulo, Brazil.,Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
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Banning LCP, Ramakers IHGB, Deckers K, Verhey FRJ, Aalten P. Affective symptoms and AT(N) biomarkers in mild cognitive impairment and Alzheimer's disease: A systematic literature review. Neurosci Biobehav Rev 2019; 107:346-359. [PMID: 31525387 DOI: 10.1016/j.neubiorev.2019.09.014] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 09/06/2019] [Accepted: 09/09/2019] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Alzheimer's disease (AD) biomarkers such as amyloid, p-tau and neuronal injury markers have been associated with affective symptoms in cognitively impaired individuals, but results are conflicting. METHODS CINAHL, Embase, PsycINFO and PubMed were searched for studies evaluating AD biomarkers with affective symptoms in mild cognitive impairment and AD dementia. Studies were classified according to AT(N) research criteria. RESULT Forty-five abstracts fulfilled eligibility criteria, including in total 8,293 patients (41 cross-sectional studies and 7 longitudinal studies). Depression and night-time behaviour disturbances were not related to AT(N) markers. Apathy was associated with A markers (PET, not CSF). Mixed findings were reported for the association between apathy and T(N) markers; anxiety and AT(N) markers; and between agitation and irritability and A markers. Agitation and irritability were not associated with T(N) markers. DISCUSSION Whereas some AD biomarkers showed to be associated with affective symptoms in AD, most evidence was inconsistent. This is likely due to differences in study design or heterogeneity in affective symptoms. Directions for future research are given.
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Affiliation(s)
- Leonie C P Banning
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Inez H G B Ramakers
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Kay Deckers
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Frans R J Verhey
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Pauline Aalten
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
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Dietlin S, Soto M, Kiyasova V, Pueyo M, de Mauleon A, Delrieu J, Ousset PJ, Vellas B. Neuropsychiatric Symptoms and Risk of Progression to Alzheimer’s Disease Among Mild Cognitive Impairment Subjects. J Alzheimers Dis 2019; 70:25-34. [DOI: 10.3233/jad-190025] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Simon Dietlin
- Gerontopôle, INSERM U 1027, Alzheimer’s Disease Research and Clinical Center, Toulouse University Hospital, France
| | - Maria Soto
- Gerontopôle, INSERM U 1027, Alzheimer’s Disease Research and Clinical Center, Toulouse University Hospital, France
| | - Vera Kiyasova
- Institut de Recherches Internationales Servier, Suresnes, France
| | - Maria Pueyo
- Institut de Recherches Internationales Servier, Suresnes, France
| | - Adelaïde de Mauleon
- Gerontopôle, INSERM U 1027, Alzheimer’s Disease Research and Clinical Center, Toulouse University Hospital, France
| | - Julien Delrieu
- Gerontopôle, INSERM U 1027, Alzheimer’s Disease Research and Clinical Center, Toulouse University Hospital, France
| | - Pierre Jean Ousset
- Gerontopôle, INSERM U 1027, Alzheimer’s Disease Research and Clinical Center, Toulouse University Hospital, France
| | - Bruno Vellas
- Gerontopôle, INSERM U 1027, Alzheimer’s Disease Research and Clinical Center, Toulouse University Hospital, France
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Krell-Roesch J, Vassilaki M, Mielke MM, Kremers WK, Lowe VJ, Vemuri P, Machulda MM, Christianson TJ, Syrjanen JA, Stokin GB, Butler LM, Traber M, Jack CR, Knopman DS, Roberts RO, Petersen RC, Geda YE. Cortical β-amyloid burden, neuropsychiatric symptoms, and cognitive status: the Mayo Clinic Study of Aging. Transl Psychiatry 2019; 9:123. [PMID: 30923322 PMCID: PMC6438979 DOI: 10.1038/s41398-019-0456-z] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 02/16/2019] [Indexed: 12/22/2022] Open
Abstract
Neuropsychiatric symptoms (NPS) are a risk factor for cognitive impairment and are associated with cortical β-amyloid (Aβ) deposition. We conducted a cross-sectional study derived from the ongoing population-based Mayo Clinic Study of Aging to examine the frequency of NPS among cognitively unimpaired (CU) and mild cognitive impairment (MCI) participants who either have normal (A-) or abnormal (A+) Aβ deposition. We also investigated whether combined presence of MCI and amyloid positivity (MCI/A+) is associated with greater odds of having NPS as compared to CU/A- (defined as reference group). Participants were 1627 CU and MCI individuals aged ≥ 50 years (54% males; median age 73 years). All participants underwent NPS assessment (Neuropsychiatric Inventory Questionnaire (NPI-Q); Beck Depression Inventory II (BDI-II); Beck Anxiety Inventory (BAI)) and 11C-PiB-PET. Participants with an SUVR > 1.42 were classified as A+. We conducted multivariable logistic regression analyses adjusted for age, sex, education, and APOE ε4 genotype status. The sample included 997 CU/A-, 446 CU/A+, 78 MCI/A-, and 106 MCI/A+ persons. For most NPS, the highest frequency of NPS was found in MCI/A+ and the lowest in CU/A-. The odds ratios of having NPS, depression (BDI ≥ 13), or anxiety (BAI ≥ 8, ≥ 10) were consistently highest for MCI/A+ participants. In conclusion, MCI with Aβ burden of the brain is associated with an increased risk of having NPS as compared to MCI without Aβ burden. This implies that the underlying Alzheimer's disease biology (i.e., cerebral Aβ amyloidosis) may drive both cognitive and psychiatric symptoms.
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Affiliation(s)
- Janina Krell-Roesch
- 0000 0000 8875 6339grid.417468.8Translational Neuroscience and Aging Laboratory, Mayo Clinic, Scottsdale, AZ USA ,0000 0001 0075 5874grid.7892.4Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Maria Vassilaki
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Michelle M. Mielke
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA ,0000 0004 0459 167Xgrid.66875.3aDepartment of Neurology, Mayo Clinic, Rochester, MN USA
| | - Walter K. Kremers
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Val J. Lowe
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Radiology, Mayo Clinic, Rochester, MN USA
| | - Prashanthi Vemuri
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Radiology, Mayo Clinic, Rochester, MN USA
| | - Mary M. Machulda
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN USA
| | - Teresa J. Christianson
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Jeremy A. Syrjanen
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Gorazd B. Stokin
- International Clinical Research Center/St. Anne Hospital, Brno, Czech Republic
| | - Lesley M. Butler
- 0000 0004 0374 1269grid.417570.0F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Martin Traber
- 0000 0004 0374 1269grid.417570.0F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Clifford R. Jack
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Radiology, Mayo Clinic, Rochester, MN USA
| | - David S. Knopman
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Neurology, Mayo Clinic, Rochester, MN USA
| | - Rosebud O. Roberts
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA ,0000 0004 0459 167Xgrid.66875.3aDepartment of Neurology, Mayo Clinic, Rochester, MN USA
| | - Ronald C. Petersen
- 0000 0004 0459 167Xgrid.66875.3aDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA ,0000 0004 0459 167Xgrid.66875.3aDepartment of Neurology, Mayo Clinic, Rochester, MN USA
| | - Yonas E. Geda
- 0000 0000 8875 6339grid.417468.8Translational Neuroscience and Aging Laboratory, Mayo Clinic, Scottsdale, AZ USA ,0000 0004 0459 167Xgrid.66875.3aDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA ,0000 0000 8875 6339grid.417468.8Department of Psychiatry and Psychology, Mayo Clinic, Scottsdale, AZ USA ,0000 0000 8875 6339grid.417468.8Department of Neurology, Mayo Clinic, Scottsdale, AZ USA
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Seifan A, Ganzer CA, Ryon K, Lin M, Mahmudur R, Adolfo H, Shih C, Jacobs AR, Greenwald M, Isaacson RS. Detecting Non-cognitive Features of Prodromal Neurodegenerative Diseases. Curr Aging Sci 2019; 11:242-249. [PMID: 30845903 PMCID: PMC6635426 DOI: 10.2174/1874609812666190204094233] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Revised: 12/29/2018] [Accepted: 01/03/2019] [Indexed: 01/28/2023]
Abstract
BACKGROUND Prodromal Neurodegenerative Disease (ND) due to tauopathies such as Alzheimer's Disease (AD) and Synucleinopathies (SN) such as Parkinson's Disease (PD) and Dementia with Lewy Bodies (DLB) present subtly. Although ND are considered cognitive disorders, in fact ND present with behavioral and even medical symptomatology years to decades prior to the onset of cognitive changes. Recognizing prodromal ND syndromes is a public health priority because ND is common, disabling and expensive. Diagnosing prodromal ND in real world clinical settings is challenging because ND of the same pathology can present with different symptoms in different people. Individual variability in nature and variability in nurture across the life course influence how ND pathology manifests clinically. The objective of this study was to describe how non-cognitive symptoms from behavioral, medical, neurological and psychiatric domains cluster in prodromal and early stages of ND. METHODS This was an observational study of patients receiving routine clinical care for memory disorders. All patients receiving a standardized evaluation including complete neurological history and examination and standardized brief neuropsychological testing. A Principal Component Analysis (PCA) considering emotion, motor, sensory and sleep factors was performed on the entire sample of patients in order to identify co-occurring symptom clusters. All patients received a consensus diagnosis adjudicated by at least two dementia experts. Patients were grouped into Cognitively Normal, Detectable Cognitive Impairment, and Mild Cognitive Impairment categories due to AD and/or PD/LBD or NOS pathology. Symptom cluster scores were compared between clinical diagnostic groups. RESULTS In this study 165 patients completed baseline neuropsychological testing and reported subjective measures of non-cognitive symptoms. Four syndrome specific symptom factors emerged and eight non-specific symptom factors. Symptoms of personality changes, paranoia, hallucinations, cravings, agitation, and changes in appetite grouped together into a cluster consistent with an "SN Non-motor Phenotype". Appetite, walking, balance, hearing, increased falls, and dandruff grouped together into a cluster consistent with an "SN Motor Phenotype". The Prodromal AD phenotype included symptoms of anxiety, irritability, apathy, sleep disturbance and social isolation. The fourth factor included symptoms of increased sweating, twitching, and tremor grouped into a cluster consistent with an Autonomic phenotype. CONCLUSION Non-cognitive features can be reliably measured by self-report in busy clinical settings. Such measurement can be useful in distinguishing patients with different etiologies of ND. Better characterization of unique, prodromal, non-cognitive ND trajectories could improve public health efforts to modify the course of ND for all patients at risk.
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Affiliation(s)
| | - Christine A. Ganzer
- Address correspondence to this author at the Hunter College, Nursing. New York, USA; Tel: 212-481-4338; E-mail:
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Veitch DP, Weiner MW, Aisen PS, Beckett LA, Cairns NJ, Green RC, Harvey D, Jack CR, Jagust W, Morris JC, Petersen RC, Saykin AJ, Shaw LM, Toga AW, Trojanowski JQ. Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative. Alzheimers Dement 2018; 15:106-152. [PMID: 30321505 DOI: 10.1016/j.jalz.2018.08.005] [Citation(s) in RCA: 283] [Impact Index Per Article: 40.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Accepted: 08/21/2018] [Indexed: 02/06/2023]
Abstract
INTRODUCTION The overall goal of the Alzheimer's Disease Neuroimaging Initiative (ADNI) is to validate biomarkers for Alzheimer's disease (AD) clinical trials. ADNI is a multisite, longitudinal, observational study that has collected many biomarkers since 2004. Recent publications highlight the multifactorial nature of late-onset AD. We discuss selected topics that provide insights into AD progression and outline how this knowledge may improve clinical trials. METHODS We used standard methods to identify nearly 600 publications using ADNI data from 2016 and 2017 (listed in Supplementary Material and searchable at http://adni.loni.usc.edu/news-publications/publications/). RESULTS (1) Data-driven AD progression models supported multifactorial interactions rather than a linear cascade of events. (2) β-Amyloid (Aβ) deposition occurred concurrently with functional connectivity changes within the default mode network in preclinical subjects and was followed by specific and progressive disconnection of functional and anatomical networks. (3) Changes in functional connectivity, volumetric measures, regional hypometabolism, and cognition were detectable at subthreshold levels of Aβ deposition. 4. Tau positron emission tomography imaging studies detailed a specific temporal and spatial pattern of tau pathology dependent on prior Aβ deposition, and related to subsequent cognitive decline. 5. Clustering studies using a wide range of modalities consistently identified a "typical AD" subgroup and a second subgroup characterized by executive impairment and widespread cortical atrophy in preclinical and prodromal subjects. 6. Vascular pathology burden may act through both Aβ dependent and independent mechanisms to exacerbate AD progression. 7. The APOE ε4 allele interacted with cerebrovascular disease to impede Aβ clearance mechanisms. 8. Genetic approaches identified novel genetic risk factors involving a wide range of processes, and demonstrated shared genetic risk for AD and vascular disorders, as well as the temporal and regional pathological associations of established AD risk alleles. 9. Knowledge of early pathological changes guided the development of novel prognostic biomarkers for preclinical subjects. 10. Placebo populations of randomized controlled clinical trials had highly variable trajectories of cognitive change, underscoring the importance of subject selection and monitoring. 11. Selection criteria based on Aβ positivity, hippocampal volume, baseline cognitive/functional measures, and APOE ε4 status in combination with improved cognitive outcome measures were projected to decrease clinical trial duration and cost. 12. Multiple concurrent therapies targeting vascular health and other AD pathology in addition to Aβ may be more effective than single therapies. DISCUSSION ADNI publications from 2016 and 2017 supported the idea of AD as a multifactorial disease and provided insights into the complexities of AD disease progression. These findings guided the development of novel biomarkers and suggested that subject selection on the basis of multiple factors may lower AD clinical trial costs and duration. The use of multiple concurrent therapies in these trials may prove more effective in reversing AD disease progression.
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Affiliation(s)
- Dallas P Veitch
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA; Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Michael W Weiner
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA; Department of Radiology, University of California, San Francisco, CA, USA; Department of Medicine, University of California, San Francisco, CA, USA; Department of Psychiatry, University of California, San Francisco, CA, USA; Department of Neurology, University of California, San Francisco, CA, USA.
| | - Paul S Aisen
- Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, CA, USA
| | - Laurel A Beckett
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA, USA
| | - Nigel J Cairns
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA; Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Robert C Green
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Danielle Harvey
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA, USA
| | | | - William Jagust
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - John C Morris
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA
| | | | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Arthur W Toga
- Laboratory of Neuroimaging, Institute of Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute on Aging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Alzheimer's Disease Core Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Udall Parkinson's Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Chen C, Hu Z, Jiang Z, Zhou F. Prevalence of anxiety in patients with mild cognitive impairment: A systematic review and meta-analysis. J Affect Disord 2018; 236:211-221. [PMID: 29747139 DOI: 10.1016/j.jad.2018.04.110] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 03/12/2018] [Accepted: 04/08/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND Prevalence rates of anxiety in patients with mild cognitive impairment (MCI) varied widely across studies and may confer a higher likelihood of progression to dementia. Our aim was to estimate the prevalence of anxiety in MCI and identify reasons for heterogeneity in the reported results. METHODS A computerized search in PubMed, EMBASE, and Psyc INFO for studies on anxiety in MCI was performed up to March 2017. The overall prevalence of anxiety in patients with MCI was pooled using a random-effects model. Heterogeneity was explored using stratification (recruitment resource; method of anxiety diagnosis; method of MCI diagnosis; and region) and random-effects meta-regression. RESULTS Of 2494 unique abstracts, 290 were selected for full-text review, and 39 studies, representing 10,587 patients, met all inclusion criteria. The overall pooled prevalence of depression in patients with MCI was 21.0% (95% CI, 16.2-26.7) with significant heterogeneity present (I2 = 97.2%, p < 0.001). When stratified by source, the prevalence of anxiety in patients with MCI in community-based samples was 14.3% (95% CI, 9.7-20.5) and was 31.2% (95% CI, 23.6-40.0) in clinic-based samples, which was significantly different (p < 0.01). The prevalence of anxiety estimates also differed significantly, when stratification by the method of anxiety diagnosis (p < 0.01). However, the criteria used for MCI diagnosis and geographical region did not significantly influence the prevalence estimate. LIMITATIONS We did not consider the usage of anti-anxiety drugs and language bias. CONCLUSIONS The prevalence of anxiety in patients with MCI was common and variability in prevalence of anxiety across studies can be attributed partly to the source of the sample and method of anxiety diagnosis. Further research is needed to identify sources of heterogeneity.
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Affiliation(s)
- Chunli Chen
- Department of Neurology, Second Xiangya Hospital, Hunan, PR China
| | - Zhiping Hu
- Department of Neurology, Second Xiangya Hospital, Hunan, PR China
| | - Zheng Jiang
- Department of Neurology, Second Xiangya Hospital, Hunan, PR China.
| | - Fangfang Zhou
- Department of Neurology, Second Xiangya Hospital, Hunan, PR China
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Moon B, Kim S, Park YH, Lim JS, Youn YC, Kim S, Jang JW. Depressive Symptoms are Associated with Progression to Dementia in Patients with Amyloid-Positive Mild Cognitive Impairment. J Alzheimers Dis 2018; 58:1255-1264. [PMID: 28550264 DOI: 10.3233/jad-170225] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Depressive symptoms are prevalent in patients with mild cognitive impairment (MCI) and are considered to be a risk factor for progression to dementia. OBJECTIVE The purpose of this study was to evaluate whether depressive symptoms in MCI promote disease progression in a manner related to amyloid status, and to determine the relationship between depressive symptoms and longitudinal cerebral structural changes. METHODS Baseline data for 336 patients with MCI (75 with depression and 261 without) from the Alzheimer's Disease Neuroimaging Initiative study were analyzed. All participants underwent comprehensive cognitive testing, volumetric magnetic resonance imaging (MRI), and [18F]AV45 positron emission tomography amyloid imaging. Depressive symptoms were measured using the Neuropsychiatric Inventory Questionnaire. A voxel-based morphometric analysis using volumetric brain MRI data was used to compare longitudinal structural changes related to depressive symptoms. RESULTS The conversion rate to dementia was different between patients with and without depression in amyloid-positive MCI (40.8% versus 19.7%, respectively; p = 0.006). Patients who were amyloid-positive at baseline also exhibited a greater degree of 2-year cognitive decline. Depression in amyloid-positive MCI was associated with longitudinal cortical atrophy in the left cingulate gyrus. CONCLUSION Our study indicates that the presence of depressive symptoms in patients with amyloid-positive MCI is associated with higher progression to dementia and longitudinal cortical atrophy.
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Affiliation(s)
- Byungseung Moon
- College of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - Seongheon Kim
- College of Medicine, Kangwon National University, Chuncheon, Republic of Korea.,Department of Neurology, Kangwon National University Hospital, Chuncheon, Republic of Korea
| | - Young Ho Park
- Clinical Neuroscience Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.,Department of Neurology, Seoul National University College of Medicine, Seoul, Korea
| | - Jae-Sung Lim
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Young Chul Youn
- Department of Neurology, College of Medicine, Chung-Ang University, Seoul, Republic of Korea
| | - SangYun Kim
- Clinical Neuroscience Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.,Department of Neurology, Seoul National University College of Medicine, Seoul, Korea
| | - Jae-Won Jang
- College of Medicine, Kangwon National University, Chuncheon, Republic of Korea.,Department of Neurology, Kangwon National University Hospital, Chuncheon, Republic of Korea
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Bloniecki V, Aarsland D, Blennow K, Cummings J, Falahati F, Winblad B, Freund-Levi Y. Effects of Risperidone and Galantamine Treatment on Alzheimer's Disease Biomarker Levels in Cerebrospinal Fluid. J Alzheimers Dis 2018; 57:387-393. [PMID: 28269767 DOI: 10.3233/jad-160758] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Treatment for neuropsychiatric symptoms (NPS) in dementia is insufficient. Antipsychotics and acetylcholinesterase inhibitors are used generating symptomatic improvements in behavior and cognition, but few studies have investigated their effect on Alzheimer's disease (AD) biomarkers in cerebrospinal fluid (CSF). OBJECTIVE This is a secondary analysis based on an earlier clinical trial comparing the treatment effects on NPS. The aim of this study was to examine whether treatment with risperidone and galantamine affect levels of the biomarkers T-Tau, P-Tau, Aβ1-42, and Aβ42/40-ratio in CSF. The secondary aim was to test if baseline levels of these biomarkers are associated with the clinical course of NPS. METHODS 83 patients (mean + SD 77.9.6±7.7 years) with dementia and NPS were randomized to galantamine (n = 44) or risperidone (n = 39) treatment. CSF samples were collected at baseline and after 12 weeks. RESULTS Changes in levels of biomarkers between the two treatment groups did not differ significantly. Low baseline levels of Aβ1 - 42 was significantly associated with reduction of irritability at follow up. Low baseline levels of Aβ1-42, Aβ42/40, and P-Tau were significant correlates of reduction in appetite and eating disorders. CSF Aβ1-42 levels in patients treated with risperidone were significantly decreased at follow up, showing an 8% (40 pg/mL) reduction as compared with baseline (p = 0.03). CONCLUSIONS Our results suggest that risperidone may affect the CSF profile of AD biomarkers indicating more amyloid pathology. Treatment with galantamine did not affect the CSF biomarkers in any direction. The AD CSF biomarkers displayed correlations with specific NPS suggesting potential research questions to be pursued.
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Affiliation(s)
- Victor Bloniecki
- Department of Neurobiology, Caring Sciences and Society (NVS), Division of Clinical Geriatrics, Karolinska Institute, Stockholm, Sweden
| | - Dag Aarsland
- Department of Neurobiology, Caring Sciences and Society (NVS), Division of Clinical Geriatrics, Karolinska Institute, Stockholm, Sweden.,Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden.,Center for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at University of Gothenburg, Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Jeffrey Cummings
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Farshad Falahati
- Department of Neurobiology, Caring Sciences and Society (NVS), Division of Clinical Geriatrics, Karolinska Institute, Stockholm, Sweden
| | - Bengt Winblad
- Department of Neurobiology, Karolinska Institute, Caring Sciences and Society (NVS), Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | - Yvonne Freund-Levi
- Department of Neurobiology, Caring Sciences and Society (NVS), Division of Clinical Geriatrics, Karolinska Institute, Stockholm, Sweden.,Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
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Wen MC, Chan LL, Tan LC, Tan EK. Mild cognitive impairment in Parkinson's disease: a distinct clinical entity? Transl Neurodegener 2017; 6:24. [PMID: 28919975 PMCID: PMC5596909 DOI: 10.1186/s40035-017-0094-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 08/30/2017] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Mild cognitive impairment in Parkinson's disease (PD-MCI) is a common clinical condition. Understanding its pathology and clinical features is important for early intervention before the onset of dementia. In the past, variable definitions and differences in neuropsychological batteries generated divergent results of the affected cognitive patterns. MAIN BODY The introduction of PD-MCI criteria by the Movement Disorders Society (MDS) Task Force provides a more uniform system for defining and measuring PD-MCI and may improve the validity of future research. PD-MCI is likely to be heterogeneous since it can coexist with Alzheimer's disease and/ or Lewy body pathologies in PD. Pathogeneses of neuropsychiatric disturbances, such as depression, anxiety and apathy, are associated with PD with or without MCI. In addition, cognitive reserve formed by patients' unique life experiences may influence the outward cognitive performance despite the presence of the aforementioned pathogeneses and hence alter the diagnosis of MCI. CONCLUSION The overlap of cognitive impairment across different neurodegenerative diseases suggests that PD-MCI is likely to result from a mixture of complex pathophysiologies, rather than being a distinct pathologic entity. Differentiating MCI from other organic symptoms in PD would facilitate novel therapeutic strategies.
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Affiliation(s)
- Ming-Ching Wen
- Department of Research, National Neuroscience Institute, Singapore, Singapore
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Ling Ling Chan
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore
| | - Louis C.S. Tan
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Eng King Tan
- Department of Research, National Neuroscience Institute, Singapore, Singapore
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
- Duke-NUS Medical School, Singapore, Singapore
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Tautvydaitė D, Antonietti JP, Henry H, von Gunten A, Popp J. Relations between personality changes and cerebrospinal fluid biomarkers of Alzheimer's disease pathology. J Psychiatr Res 2017; 90:12-20. [PMID: 28213293 DOI: 10.1016/j.jpsychires.2016.12.024] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 12/15/2016] [Accepted: 12/16/2016] [Indexed: 11/30/2022]
Abstract
Specific changes in personality profiles may represent early non-cognitive symptoms of Alzheimer's disease (AD). Evaluating the subject's personality changes may add significant clinical information, as well as help to better understand the interaction between personality change, cognitive decline, and cerebral pathology. With this study we aimed to describe the relationship between personality changes and cerebrospinal fluid (CSF) markers of AD pathology at early clinical stages of the disease. One hundred and ten subjects, of whom 66 cognitively impaired patients (57 with mild cognitive impairment (MCI), and 9 with mild dementia) and 44 healthy controls, had neuropsychological examination as well as lumbar puncture to determine concentrations of CSF biomarkers of AD pathology (amyloid beta1-42 (Aβ1-42), phosphorylated tau (ptau-181), and total-tau (tau)). The Revised NEO Personality Inventory (NEO-PI-R) was administered twice, once to evaluate subjects' current personality and once to assess personality traits retrospectively 5 years before evaluation. Subjects with an AD CSF biomarker profile showed significant increase in neuroticism and decrease in conscientiousness over time as compared to non-AD CSF biomarker group. In regression analysis controlling for global cognition as measured by the MMSE score, increasing neuroticism and decreasing extraversion, openness to experience and conscientiousness were associated with lower Aβ1-42 concentrations but not with tau and ptau-181 concentrations. Our findings suggest that early and specific changes in personality are associated with cerebral AD pathology. Concentrations of CSF biomarkers, additionally to severity of the cognitive impairment, significantly contribute in predicting specific personality changes.
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Affiliation(s)
- D Tautvydaitė
- Department of Psychiatry, Service of Old Age Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - J P Antonietti
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
| | - H Henry
- Service of Biomedicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - A von Gunten
- Department of Psychiatry, Service of Old Age Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - J Popp
- Department of Psychiatry, Service of Old Age Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
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Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC, Harvey D, Jack CR, Jagust W, Morris JC, Petersen RC, Saykin AJ, Shaw LM, Toga AW, Trojanowski JQ. Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials. Alzheimers Dement 2017; 13:e1-e85. [PMID: 28342697 PMCID: PMC6818723 DOI: 10.1016/j.jalz.2016.11.007] [Citation(s) in RCA: 179] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 11/21/2016] [Accepted: 11/28/2016] [Indexed: 01/31/2023]
Abstract
INTRODUCTION The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued development and standardization of methodologies for biomarkers and has provided an increased depth and breadth of data available to qualified researchers. This review summarizes the over 400 publications using ADNI data during 2014 and 2015. METHODS We used standard searches to find publications using ADNI data. RESULTS (1) Structural and functional changes, including subtle changes to hippocampal shape and texture, atrophy in areas outside of hippocampus, and disruption to functional networks, are detectable in presymptomatic subjects before hippocampal atrophy; (2) In subjects with abnormal β-amyloid deposition (Aβ+), biomarkers become abnormal in the order predicted by the amyloid cascade hypothesis; (3) Cognitive decline is more closely linked to tau than Aβ deposition; (4) Cerebrovascular risk factors may interact with Aβ to increase white-matter (WM) abnormalities which may accelerate Alzheimer's disease (AD) progression in conjunction with tau abnormalities; (5) Different patterns of atrophy are associated with impairment of memory and executive function and may underlie psychiatric symptoms; (6) Structural, functional, and metabolic network connectivities are disrupted as AD progresses. Models of prion-like spreading of Aβ pathology along WM tracts predict known patterns of cortical Aβ deposition and declines in glucose metabolism; (7) New AD risk and protective gene loci have been identified using biologically informed approaches; (8) Cognitively normal and mild cognitive impairment (MCI) subjects are heterogeneous and include groups typified not only by "classic" AD pathology but also by normal biomarkers, accelerated decline, and suspected non-Alzheimer's pathology; (9) Selection of subjects at risk of imminent decline on the basis of one or more pathologies improves the power of clinical trials; (10) Sensitivity of cognitive outcome measures to early changes in cognition has been improved and surrogate outcome measures using longitudinal structural magnetic resonance imaging may further reduce clinical trial cost and duration; (11) Advances in machine learning techniques such as neural networks have improved diagnostic and prognostic accuracy especially in challenges involving MCI subjects; and (12) Network connectivity measures and genetic variants show promise in multimodal classification and some classifiers using single modalities are rivaling multimodal classifiers. DISCUSSION Taken together, these studies fundamentally deepen our understanding of AD progression and its underlying genetic basis, which in turn informs and improves clinical trial design.
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Affiliation(s)
- Michael W Weiner
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA; Department of Radiology, University of California, San Francisco, CA, USA; Department of Medicine, University of California, San Francisco, CA, USA; Department of Psychiatry, University of California, San Francisco, CA, USA; Department of Neurology, University of California, San Francisco, CA, USA.
| | - Dallas P Veitch
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA
| | - Paul S Aisen
- Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, CA, USA
| | - Laurel A Beckett
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA, USA
| | - Nigel J Cairns
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA; Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Robert C Green
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Danielle Harvey
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA, USA
| | | | - William Jagust
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - John C Morris
- Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, CA, USA
| | | | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Arthur W Toga
- Laboratory of Neuroimaging, Institute of Neuroimaging and Informatics, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute on Aging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Alzheimer's Disease Core Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Udall Parkinson's Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Kim HG, Kong EJ, Cheon EJ, Kim HW, Koo BH. Association between Cerebral Amyloid Deposition and Clinical Factors Including Cognitive Function in Geriatric Depression: Pilot Study Using Amyloid Positron Emission Tomography. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2016; 14:378-382. [PMID: 27776391 PMCID: PMC5083935 DOI: 10.9758/cpn.2016.14.4.378] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 06/23/2016] [Accepted: 06/24/2016] [Indexed: 01/27/2023]
Abstract
The purpose of this study was to explore the relationship between cerebral amyloid deposition and overall clinical factors including cognitive functions in geriatric depression by using ¹⁸F-florbetaben positron emission tomography. Thirteen subjects aged over 60 years who had a history of major depressive disorder and also had subjective memory complaint were included. Of all subjects, 3 subjects judged as amyloid positive, and the others judged as amyloid negative. Their memory, visuospatial functions and attention abilities were negatively correlated with amyloid deposition in specific brain regions, but their language and recognition abilities were not correlated with any region. The amyloid deposition of the whole brain region was significantly negatively correlated with immediate memory.
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Affiliation(s)
- Hye-Geum Kim
- Department of Psychiatry, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu,
Korea
| | - Eun-Jung Kong
- Department of Nuclear Medicine, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu,
Korea
| | - Eun-Jin Cheon
- Department of Psychiatry, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu,
Korea
| | - Hae-Won Kim
- Department of Nuclear Medicine, Dongsan Medical Center, Keimyung University School of Medicine, Daegu,
Korea
| | - Bon-Hoon Koo
- Department of Psychiatry, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu,
Korea
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