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Barry A, Peven JC, Handen BL, Bolt D, Krinsky‐McHale SJ, Hom CL, Clare ICH, Glueck A, Harp J, Schmitt F, Zammit M, Minhas D, Luo W, Laymon C, Price J, Lee JH, Lott I, Cohen A, Ances BM, Pulsifer M, Rosa HD, Lai F, Zaman SH, Head E, Mapstone M, Christian BT, Hartley SL. Longitudinal investigation of gait and Alzheimer's disease in adults with Down syndrome. Alzheimers Dement 2025; 21:e70211. [PMID: 40289844 PMCID: PMC12035545 DOI: 10.1002/alz.70211] [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: 12/20/2024] [Revised: 03/21/2025] [Accepted: 03/29/2025] [Indexed: 04/30/2025]
Abstract
INTRODUCTION Gait abnormalities are associated with Alzheimer's disease (AD) in the general population, but it is unclear if the same is true for individuals with Down syndrome (DS). This study examined gait across 32 months in relation to neuroimaging biomarkers (amyloid beta [Aβ], neurofibrillary tangles [NFTs], and hippocampal volume), cognitive decline, and clinical AD status in adults with DS. METHODS Participants were 218 adults with DS who underwent Aβ and NFT positron emission tomography (PET) and magnetic resonance imaging (MRI) scans, cognitive testing, and gait assessments at baseline and 32 months. Residual change regression models were conducted. RESULTS Higher baseline Aβ PET and NFT PET and lower MRI hippocampal volume were associated with gait declines across 32 months. Cognitive declines were associated with gait declines. Participants with clinical dementia at 32 months had greater gait decline than those who were cognitively stable. DISCUSSION Gait impairments are a key feature of DS-associated AD (DSAD). Gait assessments could offer a quick, cost-effective, non-invasive screen for DSAD. HIGHLIGHTS Those with clinical status of dementia had lower gait performance than those who were cognitively stable. Higher baseline amyloid beta and neurofibrillary tangle volume was associated with more gait impairments. Lower baseline hippocampal volume was associated with more gait impairments. Greater decline in gait performance was associated with cognitive decline. Greater decline in gait performance was associated with more dementia symptoms.
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Affiliation(s)
- Ashlyn Barry
- Waisman CenterUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Jamie C. Peven
- Behavioral Health Service LineVA Pittsburgh Healthcare SystemPittsburghPennsylvaniaUSA
| | - Benjamin L. Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Daniel Bolt
- Waisman CenterUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Sharon J. Krinsky‐McHale
- New York Institute for Basic Research in Developmental DisabilitiesDepartment of PsychologyStaten IslandNew YorkUSA
| | - Christy L. Hom
- Deparment of Psychiatry & Human BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
| | | | - Amanda Glueck
- Department of NeurologyUniversity of KentuckyLexingtonKentuckyUSA
| | - Jordan Harp
- Department of NeurologyUniversity of KentuckyLexingtonKentuckyUSA
| | | | - Matthew Zammit
- Waisman CenterUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Davneet Minhas
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Weiquan Luo
- Department of BioengineeringUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Charles Laymon
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Julie Price
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Joseph H. Lee
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainSergievsky Centerand Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Ira Lott
- Department of PediatricsUniversity of CaliforniaIrvine School of MedicineIrvineCaliforniaUSA
| | - Annie Cohen
- Behavioral Health Service LineVA Pittsburgh Healthcare SystemPittsburghPennsylvaniaUSA
| | - Beau M. Ances
- Department of NeurologyWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Margaret Pulsifer
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - H. Diana Rosa
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Florencia Lai
- Department of NeurologyWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | | | - Elizabeth Head
- Department of Pathology & Laboratory MedicineUniversity of California, Irvine School of MedicineIrvineCaliforniaUSA
| | - Mark Mapstone
- Department of NeurologyUniversity of CaliforniaIrvine School of MedicineIrvineCaliforniaUSA
| | | | - Sigan L. Hartley
- Waisman CenterUniversity of Wisconsin–MadisonMadisonWisconsinUSA
- Department of Human Development and Family StudiesUniversity of Wisconsin–MadisonMadisonWisconsinUSA
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Boyle R, Koops EA, Ances B, Andrews EJ, Arenaza‐Urquijo EM, Benjanin A, Brickman AM, Buckley RF, Clas GS, Costello E, Coughlan GT, Conley AC, Deng F, de Paula Faria D, Edwards N, Flores‐Aguilar L, Fortea J, Ghazi Saidi L, Head E, Hom CL, Koenig K, Lao P, Lengyel I, Li Y, Loi S, Loughrey D, McGlinchey E, Newhouse P, Pertierra L, Prokopiou PC, Qi Q, de Paula França Resende E, Russell J, Scanlon CE, Schneider C, Schultz SA, Seto M, Shaka S, Soldan A, Vaqué Alcázar L, Weng Y, Wilson JE, Zaman SH, Zsadányi SE, Hartley S. Resistance and resilience to Alzheimer's disease in Down syndrome. Alzheimers Dement 2025; 21:e70151. [PMID: 40289889 PMCID: PMC12035553 DOI: 10.1002/alz.70151] [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: 12/18/2024] [Accepted: 02/26/2025] [Indexed: 04/30/2025]
Abstract
Due to the high prevalence of Alzheimer's disease (AD) in adults with Down syndrome (DS), trisomy 21 is now considered a genetic form of AD (DSAD). A better understanding of factors that can prevent or delay AD is vital to improve outcomes for adults with DS. In this narrative review, we apply AD and cognitive aging research frameworks to study resistance and resilience in DSAD. Given the variability in the timing of pathology and symptoms, we discuss the evidence supporting the role of genetic, biological, socio-behavioral, lifestyle, and environmental factors in resistance and resilience to DSAD. We also consider how co-occurring health conditions in DS may influence resistance and resilience, and how methods from AD research can be applied to DSAD. Ultimately, this framework aims to guide future research and translate findings into clinical interventions to improve outcomes in DSAD. Highlights Definitions of resistance and resilience in the genetic form of Alzheimer's disease (DSAD) are proposed for guiding the field. Variability in the timing of AD pathology and symptoms suggests the potential for resistance and resilience mechanisms in DSAD. Genetic, biological, socio-behavioral, lifestyle, and environmental factors have the potential to build resistance or resilience in DSAD. Future research will require longitudinal and experimental designs, life course approaches, and large cohort studies.
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Affiliation(s)
- Rory Boyle
- Penn Frontotemporal Degeneration CenterPerelman School of MedicineRichards Medical LaboratoriesUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Elouise A. Koops
- Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Beau Ances
- Department of NeurologyCenter for Advanced Medicine Neuroscience CenterWashington University in St. LouisSt. LouisMissouriUSA
| | - Elizabeth J. Andrews
- Department of Pathology and Laboratory MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Eider M. Arenaza‐Urquijo
- Barcelona Institute for Global Health, Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health ProgrammePompeu Fabra University Carrer de la MercèRossellóBarcelonaSpain
| | - Alexandre Benjanin
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauUniversitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria ClaretBarcelonaSpain
- Center of Biomedical Investigation Network for Neurodegenerative DiseasesPlantaMadridSpain
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainG.H. Sergievsky CenterDepartment of NeurologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Rachel F. Buckley
- Department of NeurologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Giulia S. Clas
- Laboratory of Neurodegenerative DiseasesInstitute of NeurosciencesFoundation for the Fight Against Childhood Neurological Diseases (LEN‐INEU‐Fleni‐CONICET), Fleni, Ciudad Autónoma de Buenos AiresBuenos AiresArgentina
| | - Emmet Costello
- Academic Unit of NeurologyTrinity Biomedical Sciences Institute, Trinity College DublinDublinIreland
| | - Gillian T. Coughlan
- Department of NeurologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Alexander C. Conley
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Feng Deng
- School of PsychologyShenzhen UniversityShenzhenChina
| | - Daniele de Paula Faria
- Laboratory of Nuclear Medicine (LIM43)Department of Radiology and Oncology, Faculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloSao PauloBrazil
| | - Natalie Edwards
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainG.H. Sergievsky CenterDepartment of NeurologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Lisi Flores‐Aguilar
- Department of Pathology and Laboratory MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauUniversitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria ClaretBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas. CIBERNEDBarcelonaSpain
- Barcelona Down Medical CenterFundació Catalana Síndrome de DownBarcelonaSpain
| | - Ladan Ghazi Saidi
- Department of Speech Language PathologyUniversity of Nebraska at KearneyKearneyNebraskaUSA
| | - Elizabeth Head
- Department of Pathology & Laboratory Medicine and NeurologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Christy L. Hom
- Department of Psychiatry & Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Katherine Koenig
- Imaging Sciences, Diagnostics InstituteCleveland ClinicClevelandOhioUSA
| | - Patrick Lao
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainG.H. Sergievsky CenterDepartment of NeurologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Imre Lengyel
- The Wellcome‐Wolfson Institute for Experimental MedicineSchool of Medicine Dentistry and Biomedical SciencesQueen's University BelfastBelfastUK
| | - Yi‐Ju Li
- Department of Biostatistics and BioinformaticsDuke University School of Medicine, Duke University Medical CenterDurhamNorth CarolinaUSA
| | - Samantha Loi
- Department of PsychiatryUniversity of Melbourne; Neuropsychiatry Centre, Royal Melbourne HospitalParkvilleVictoriaAustralia
| | - David Loughrey
- School of Nursing, Psychotherapy and Community HealthDublin City UniversityDublinIreland
- Global Brain Health InstituteTrinity College Institute of Neuroscience, Trinity College DublinDublinIreland
- GBHI Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Eimear McGlinchey
- Global Brain Health InstituteTrinity College Institute of Neuroscience, Trinity College DublinDublinIreland
- GBHI Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Trinity Centre for Ageing and Intellectual DisabilityTrinity College DublinDublinIreland
| | - Paul Newhouse
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
- Geriatric Research, Education, and Clinical CenterVeterans Affairs Tennessee Valley Health SystemNashvilleTennesseeUSA
| | - Lucía Pertierra
- Global Brain Health InstituteTrinity College Institute of Neuroscience, Trinity College DublinDublinIreland
- GBHI Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Cognitive Neurology, Neuropsychology and Neuropsychiatry UnitBuenos AiresArgentina
| | - Prokopis C. Prokopiou
- Department of RadiologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Qing Qi
- Trinity College Institute of NeuroscienceTrinity College DublinDublinIreland
| | | | - Jason Russell
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Catherine E. Scanlon
- Department of Psychological and Brain SciencesDrexel UniversityPhiladelphiaPennsylvaniaUSA
| | - Christoph Schneider
- Department of NeurologyInselspital and University of BernRosenbühlgasseBernSwitzerland
| | - Stephanie A. Schultz
- Department of NeurologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Mabel Seto
- Department of NeurologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Sophia Shaka
- Department of NeurologyUniversity of California, IrvineIrvineCaliforniaUSA
| | - Anja Soldan
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Lídia Vaqué Alcázar
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauUniversitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria ClaretBarcelonaSpain
| | - Yihe Weng
- Trinity College Institute of NeuroscienceTrinity College DublinDublinIreland
| | - Jo Ellen Wilson
- Center for Cognitive MedicineDepartment of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
- Geriatric Research, Education, and Clinical CenterVeterans Affairs Tennessee Valley Health SystemNashvilleTennesseeUSA
| | - Shahid H. Zaman
- Department of PsychiatrySchool of MedicineUniversity of CambridgeCambridgeUK
| | - Sára E. Zsadányi
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant PauUniversitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria ClaretBarcelonaSpain
| | - Sigan Hartley
- School of Human Ecology and Waisman Center, Nancy Nicholas HallUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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McLachlan M, Bettcher B, McVea A, DiFilippo A, Zammit M, LeMerise L, Rouanet J, Price J, Tudorascu D, Laymon C, Keator D, Lao P, Brickman AM, Fryer T, Hartley S, Ances BM, Rosas HD, Johnson S, Betthauser T, Stone CK, Zaman S, Handen B, Head E, Mapstone M, Christian BT, Investigators ABC. The striatum is an early, accurate indicator of amyloid burden using [ 11C]PiB in Down syndrome: Comparison of two radiotracers. Alzheimers Dement 2025; 21:e70141. [PMID: 40189783 PMCID: PMC11972983 DOI: 10.1002/alz.70141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Revised: 03/05/2025] [Accepted: 03/05/2025] [Indexed: 04/10/2025]
Abstract
INTRODUCTION Adults with Down syndrome demonstrate striatum-first amyloid accumulation with [11C]Pittsburgh Compound-B (PiB) positron emission tomography (PET) imaging, which has not been replicated with [18F]florbetapir (FBP). Early striatal accumulation has not been temporally quantified with respect to global cortical measures. METHODS Longitudinal PiB (n = 175 participants) and FBP (n = 92 participants) data from the Alzheimer Biomarkers Consortium-Down Syndrome (ABC-DS) were used to measure cortical and striatal binding. Generalized temporal models for cortical and striatal amyloid accumulation were created using the sampled iterative local approximation (SILA) method. RESULTS PiB demonstrated greater striatal-to-cortical ratios than FBP. SILA analysis revealed striatal amyloid burden occurs 3.40 (2.39) years earlier than the cortex in PiB. There was no difference between the cortex and striatum in FBP. DISCUSSION Among adults with Down syndrome, the striatum consistently accumulates amyloid earlier than the cortex when measured with PiB. This suggests the striatum is more sensitive to the onset of PiB PET-detectable amyloid in Down syndrome. HIGHLIGHTS Striatal amyloid is detectable 3.4 years before the cortex using PiB PET in DS. Florbetapir PET does not detect early striatal amyloid accumulation in DS. White matter can be used as reference region in longitudinal florbetapir PET. SILA trajectory models can be used to compare regional estimates for age of onset.
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Affiliation(s)
- Max McLachlan
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Brecca Bettcher
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Andrew McVea
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Alexandra DiFilippo
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Matthew Zammit
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Lisette LeMerise
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Jeremy Rouanet
- School of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Julie Price
- Mass General Research InstituteMGH, Harvard Medical SchoolBostonMassachusettsUSA
| | - Dana Tudorascu
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Charles Laymon
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - David Keator
- School of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Patrick Lao
- Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
| | - Adam M. Brickman
- Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
| | - Tim Fryer
- University of Cambridge, The Old Schools, Trinity LnCambridgeTNUK
| | - Sigan Hartley
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Beau M. Ances
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - H. Diana Rosas
- Mass General Research InstituteMGH, Harvard Medical SchoolBostonMassachusettsUSA
| | - Sterling Johnson
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Tobey Betthauser
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Charles K. Stone
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Shahid Zaman
- University of Cambridge, The Old Schools, Trinity LnCambridgeTNUK
| | - Benjamin Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Elizabeth Head
- School of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Mark Mapstone
- School of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Bradley T. Christian
- School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Adamo M, Gayer M, Jacobs A, Raynaud Q, Sebbah R, di Domenicantonio G, Latypova A, Vionnet N, Kherif F, Lutti A, Pitteloud N, Draganski B. Enduring differential patterns of neuronal loss and myelination along 6-month pulsatile gonadotropin-releasing hormone therapy in individuals with Down syndrome. Brain Commun 2025; 7:fcaf117. [PMID: 40190351 PMCID: PMC11969670 DOI: 10.1093/braincomms/fcaf117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 01/08/2025] [Accepted: 03/21/2025] [Indexed: 04/09/2025] Open
Abstract
Despite major progress in understanding the impact of the triplicated chromosome 21 on the brain and behaviour in Down syndrome, our knowledge of the underlying neurobiology in humans is still limited. We sought to address some of the pertinent questions about the drivers of brain structure differences and their associations with cognitive function in Down syndrome. To this aim, in a pilot magnetic resonance imaging (MRI) study, we monitored brain anatomy in individuals with Down syndrome receiving pulsatile gonadotropin-releasing hormone (GnRH) therapy over 6 months in comparison with typically developed age- and sex-matched healthy controls. We analysed cross-sectional (Down syndrome/healthy controls n = 11/27; Down syndrome-2 females/9 males, age 26.7 ± 5.0 years old; healthy controls-8 females/19 males, age 24.1 ± 2.5 years old) and longitudinal (Down syndrome/healthy controls n = 8/13; Down syndrome-1 female/7 males, age 26.4 ± 5.3 years old; healthy controls-4 females/9 males, 24.7 ± 2.2 years old) relaxometry and diffusion-weighted MRI data alongside standard cognitive assessment. The statistical tests looked for cross-sectional baseline differences and for differential changes over time between Down syndrome and healthy controls. The post hoc analysis confined to the Down syndrome group, tested for potential time-dependent interactions between individuals' overall cognitive performance and associated brain anatomy changes. The brain MRI statistical analyses covered both grey and white matter regions across the whole brain allowing for investigation of regional volume, macromolecular/myelin and iron content, additionally to diffusion tensor and neurite orientation and dispersion density characterization across major white matter tracts. The cross-sectional analysis showed reduced frontal, temporal and cerebellar volumes in Down syndrome with only the cerebellar differences remaining significant after adjustment for the presence of microcephaly (P family-wise-corrected < 0.05). The volume reductions were paralleled by decreased cortical and subcortical macromolecular/myelin content confined to the cortical motor system, thalamus and basal ganglia (P family-wise-corrected < 0.05). All major white matter tracts showed a ubiquitous mean diffusivity and intracellular volume fraction reduction contrasted with no differences in magnetization transfer saturation metrics (P family-wise-corrected < 0.05). Compared with healthy controls over the same period, Down syndrome individuals under GnRH therapy showed cognitive improvement (Montreal Cognitive Assessment from 11.4 ± 5.5 to 15.1 ± 5.6; P < 0.01) on the background of stability of the observed differential neuroanatomical patterns. Despite the lack of adequate Down syndrome control group, we interpret the obtained cross-sectional and longitudinal findings in young adults as evidence for predominant neurodevelopmental neuronal loss due to dysfunctional neurogenesis without signs for short-term myelin loss.
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Affiliation(s)
- Michela Adamo
- Department of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Mihaly Gayer
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - An Jacobs
- Department of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Quentin Raynaud
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Raphael Sebbah
- Department of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Giulia di Domenicantonio
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Adeliya Latypova
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Nathalie Vionnet
- Department of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Ferath Kherif
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Antoine Lutti
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Nelly Pitteloud
- Department of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, CH-1011 Lausanne, Switzerland
- Neurology Department, Max Planck Institute for Human Cognitive and Brain Sciences, D-04103 Leipzig, Germany
- Department of Neurology, Inselspital, University of Bern, CH-3010 Bern, Switzerland
- University Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, CH-3010 Bern, Switzerland
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Dohl J, Treadwell Z, Norris C, Head E. Calcineurin inhibition may prevent Alzheimer disease in people with Down syndrome. Alzheimers Dement 2025; 21:e70034. [PMID: 40042516 PMCID: PMC11881635 DOI: 10.1002/alz.70034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Revised: 01/29/2025] [Accepted: 01/30/2025] [Indexed: 03/09/2025]
Abstract
Virtually all people with Down syndrome will develop Alzheimer disease pathology during their lifetime. As Alzheimer disease is the third leading cause of death and a significant factor in end-of-life complications for adults with Down syndrome, identifying interventions is a medical necessity. Calcineurin, a Ca2+/calmodulin-dependent protein phosphatase, has recently been investigated as a possible Alzheimer treatment. This review explores the histories behind Down syndrome and Alzheimer disease, and their intersecting pathologies. This is followed by the role that calcineurin and its U.S. Food and Drug Administration-approved pharmacological inhibitor, tacrolimus, may play in the prevention or treatment of Alzheimer disease. Finally, this review discusses the gap in the literature surrounding the role of calcineurin, its regulators, and calcineurin inhibitors in the context of Down syndrome and comorbid Alzheimer disease. Future studies investigating the role that calcineurin plays in this pathology will be essential in determining the viability of calcineurin inhibitors to treat Alzheimer disease in people with Down syndrome. HIGHLIGHTS: Calcineurin, a Ca2+/calmodulin-dependent protein phosphatase, has become prominent as a possible therapeutic target to treat Alzheimer disease. People with Down syndrome develop Alzheimer pathology as they age, requiring novel therapeutics for treatment. People with Down syndrome may exhibit contraindications to calcineurin inhibition-based therapy, as they overexpress RCAN1 and DYRK1A, regulators of calcineurin. There is a significant gap in the literature involving the expression of calcineurin, RCAN1 and DYRK1A, in people with Down syndrome and Alzheimer disease, which must be addressed to determine the efficacy and safety of newly developed therapeutics.
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Affiliation(s)
- Jacob Dohl
- Department of Pathology & Laboratory MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Zoe Treadwell
- Department of Pathology & Laboratory MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Christopher Norris
- Department of Pharmacology & Nutrition Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | - Elizabeth Head
- Department of Pathology & Laboratory MedicineUniversity of CaliforniaIrvineCaliforniaUSA
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Kennedy JT, Wisch JK, Dincer A, Roman J, Gordon BA, Handen B, Benzinger TLS, Head E, Mapstone M, Christian BT, Tudorascu DL, Laymon CL, Hartley SL, Lao P, Brickman AM, Zaman SH, Ances BM. Decoding brain structure to stage Alzheimer's disease pathology in Down syndrome. Alzheimers Dement 2025; 21:e14519. [PMID: 39807622 PMCID: PMC11848172 DOI: 10.1002/alz.14519] [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: 08/22/2024] [Revised: 12/03/2024] [Accepted: 12/03/2024] [Indexed: 01/16/2025]
Abstract
INTRODUCTION Alzheimer's disease (AD) in Down syndrome (DS) is associated with changes in brain structure. It is unknown if thickness and volumetric changes can identify AD stages and if they are similar to other genetic forms of AD. METHODS Magnetic resonance imaging scans were collected for 178 DS adults (106 nonclinical, 45 preclinical, and 27 symptomatic). Cortical thickness and subcortical volumes were compared between DS groups and evaluated as a staging metric using receiver operating characteristic analyses. Thickness patterns were compared to those previously reported in autosomal-dominant AD (ADAD). RESULTS Decreased parietal and temporal lobe thickness differentiated amyloid positivity (area under the curve [AUC] = 0.83) and impairment (AUC = 0.81), and slightly outperformed subcortical volumes (AUC = 0.8/0.74). Thickness differences in DS were more widespread, severe, and had better discriminative ability than ADAD. DISCUSSION Cortical thickness can stage AD pathology in DS. Identification of brain regions affected by AD may aid in tracking disease course and evaluating treatment effects. HIGHLIGHTS DSAD is associated with reduced temporal and parietal cortical thickness. DSAD is associated with smaller hippocampal and striatal volumes. Thickness differences can stage DSAD better than other forms of AD. DSAD thickness differences are more extensive and severe than ADAD.
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Affiliation(s)
- James T. Kennedy
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
| | - Julie K. Wisch
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
| | - Aylin Dincer
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
| | - June Roman
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
| | - Brian A. Gordon
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of Psychological & Brain SciencesWashington UniversitySt. LouisMissouriUSA
| | - Benjamin Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Elizabeth Head
- Department of Pathology and Laboratory MedicineUniversity of CaliforniaMedical Sciences DIrvineCaliforniaUSA
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Mark Mapstone
- Department of NeurologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Bradley T. Christian
- Waisman Laboratory for Brain Imaging and BehaviorUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Dana L. Tudorascu
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Charles L. Laymon
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Sigan L. Hartley
- Waisman Laboratory for Brain Imaging and BehaviorUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Human Development & Family StudiesUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Patrick Lao
- Department of NeurologyColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Adam M. Brickman
- Department of NeurologyColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Shahid H. Zaman
- Cambridge Intellectual and Developmental Disabilities Research GroupUniversity of CambridgeCambridgeUK
| | - Beau M. Ances
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
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Schworer EK, Zammit MD, Wang J, Handen BL, Betthauser T, Laymon CM, Tudorascu DL, Cohen AD, Zaman SH, Ances BM, Mapstone M, Head E, Klunk WE, Christian BT, Hartley SL. Amyloid age and tau PET timeline to symptomatic Alzheimer's disease in Down syndrome. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.08.24311702. [PMID: 39211859 PMCID: PMC11361254 DOI: 10.1101/2024.08.08.24311702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Background Adults with Down syndrome (DS) are at risk for Alzheimer's disease (AD). Recent natural history cohort studies have characterized AD biomarkers, with a focus on PET amyloid-beta (Aβ) and PET tau. Leveraging these well-characterized biomarkers, the present study examined the timeline to symptomatic AD based on estimated years since reaching Aβ+, referred to as "amyloid age", and in relation to tau in a large cohort of individuals with DS. Methods In this multicenter cohort study, 25 - 57-year-old adults with DS (n = 167) were assessed twice from 2017 to 2022, with approximately 32 months between visits as part of the Alzheimer Biomarker Consortium - Down Syndrome. Adults with DS completed amyloid and tau PET scans, and were administered the modified Cued Recall Test and the Down Syndrome Mental Status Examination. Study partners completed the National Task Group-Early Detection Screen for Dementia. Findings Mixed linear regressions showed significant quadratic associations between amyloid age and cognitive performance and cubic associations between amyloid age and tau, both at baseline and across 32 months. Using broken stick regression models, differences in mCRT scores were detected beginning 2.7 years following Aβ+ in cross-sectional models, with an estimated decline of 1.3 points per year. Increases in tau began, on average, 2.7 - 6.1 years following Aβ+. On average, participants with mild cognitive impairment were 7.4 years post Aβ+ and those with dementia were 12.7 years post Aβ+. Interpretation There is a short timeline to initial cognitive decline and dementia from Aβ+ (Centiloid = 18) and tau deposition in DS relative to late onset AD. The established timeline based on amyloid age (or equivalent Centiloid values) is important for clinical practice and informing AD clinical trials, and avoids limitations of timelines based on chronological age. Funding. National Institute on Aging and the National Institute for Child Health and Human Development. Research in Context Evidence before this study: We searched PubMed for articles published involving the progression of Aβ and tau deposition in adults with Down syndrome from database inception to March 1, 2024. Terms included "amyloid", "Down syndrome", "tau", "Alzheimer's disease", "cognitive decline", and "amyloid chronicity," with no language restrictions. One previous study outlined the progression of tau in adults with Down syndrome without consideration of cognitive decline or clinical status. Other studies reported cognitive decline associated with Aβ burden and estimated years to AD symptom onset in Down syndrome. Amyloid age estimates have also been created for older neurotypical adults and compared to cognitive performance, but this has not been investigated in Down syndrome.Added value of this study: The timeline to symptomatic Alzheimer's disease in relation to amyloid, expressed as duration of Aβ+, and tau has yet to be described in adults with Down syndrome. Our longitudinal study is the first to provide a timeline of cognitive decline and transition to mild cognitive impairment and dementia in relation to Aβ+.Implications of all the available evidence: In a cohort study of 167 adults with Down syndrome, cognitive decline began 2.7 - 5.4 years and tau deposition began 2.7 - 6.1 years following Aβ+ (Centiloid = 18). Adults with Down syndrome converted to MCI after ~7 years and dementia after ~12-13 years of Aβ+. This shortened timeline to AD symptomology from Aβ+ and tau deposition in DS based on amyloid age (or corresponding Centiloid values) can inform clinical AD intervention trials and is of use in clinical settings.
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Zammit MD, Betthauser TJ, McVea AK, Laymon CM, Tudorascu DL, Johnson SC, Hartley SL, Converse AK, Minhas DS, Zaman SH, Ances BM, Stone CK, Mathis CA, Cohen AD, Klunk WE, Handen BL, Christian BT. Characterizing the emergence of amyloid and tau burden in Down syndrome. Alzheimers Dement 2024; 20:388-398. [PMID: 37641577 PMCID: PMC10843570 DOI: 10.1002/alz.13444] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/14/2023] [Accepted: 07/23/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION Almost all individuals with Down syndrome (DS) will develop neuropathological features of Alzheimer's disease (AD). Understanding AD biomarker trajectories is necessary for DS-specific clinical interventions and interpretation of drug-related changes in the disease trajectory. METHODS A total of 177 adults with DS from the Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS) underwent positron emission tomography (PET) and MR imaging. Amyloid-beta (Aβ) trajectories were modeled to provide individual-level estimates of Aβ-positive (A+) chronicity, which were compared against longitudinal tau change. RESULTS Elevated tau was observed in all NFT regions following A+ and longitudinal tau increased with respect to A+ chronicity. Tau increases in NFT regions I-III was observed 0-2.5 years following A+. Nearly all A+ individuals had tau increases in the medial temporal lobe. DISCUSSION These findings highlight the rapid accumulation of amyloid and early onset of tau relative to amyloid in DS and provide a strategy for temporally characterizing AD neuropathology progression that is specific to the DS population and independent of chronological age. HIGHLIGHTS Longitudinal amyloid trajectories reveal rapid Aβ accumulation in Down syndrome NFT stage tau was strongly associated with A+ chronicity Early longitudinal tau increases were observed 2.5-5 years after reaching A.
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Affiliation(s)
| | - Tobey J. Betthauser
- University of Wisconsin‐Madison Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Andrew K. McVea
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
| | - Charles M. Laymon
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Dana L. Tudorascu
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Sterling C. Johnson
- University of Wisconsin‐Madison Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Sigan L. Hartley
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
| | | | - Davneet S. Minhas
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Shahid H. Zaman
- Cambridge Intellectual Disability Research GroupUniversity of CambridgeCambridgeUK
| | - Beau M. Ances
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Charles K. Stone
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Chester A. Mathis
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Annie D. Cohen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - William E. Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Benjamin L. Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Bradley T. Christian
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Hartley SL, Handen B, Tudorascu D, Lee L, Cohen A, Schworer EK, Peven JC, Zammit M, Klunk W, Laymon C, Minhas D, Luo W, Zaman S, Ances B, Preboske G, Christian BT. AT(N) biomarker profiles and Alzheimer's disease symptomology in Down syndrome. Alzheimers Dement 2024; 20:366-375. [PMID: 37641428 PMCID: PMC10840615 DOI: 10.1002/alz.13446] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION Down syndrome (DS) is a genetic cause of early-onset Alzheimer's disease (AD). The National Institute on Aging-Alzheimer's Association AT(N) Research Framework is a staging model for AD biomarkers but has not been assessed in DS. METHOD Data are from the Alzheimer's Biomarker Consortium-Down Syndrome. Positron emission tomography (PET) amyloid beta (Aβ; 15 mCi of [11 C]Pittsburgh compound B) and tau (10 mCi of [18 F]AV-1451) were used to classify amyloid (A) -/+ and tau (T) +/-. Hippocampal volume classified neurodegeneration (N) -/+. The modified Cued Recall Test assessed episodic memory. RESULTS Analyses included 162 adults with DS (aged M = 38.84 years, standard deviation = 8.41). Overall, 69.8% of participants were classified as A-/T-/(N)-, 11.1% were A+/T-/(N)-, 5.6% were A+/T+/(N)-, and 9.3% were A+/T+/(N)+. Participants deemed cognitively stable were most likely to be A-T-(N)- and A+T-(N)-. Tau PET (T+) most closely aligning with memory impairment and AD clinical status. DISCUSSION Findings add to understanding of AT(N) biomarker profiles in DS. HIGHLIGHTS Overall, 69.8% of adults with Down syndrome (DS) aged 25 to 61 years were classified as amyloid (A)-/tau (T)-/neurodegeneration (N)-, 11.1% were A+/T-/(N)-, 5.6% were A+/T+/(N)-, and 9.3% were A+/T+/(N)+. The AT(N) profiles were associated with clinical Alzheimer's disease (AD) status and with memory performance, with the presence of T+ aligned with AD clinical symptomology. Findings inform models for predicting the transition to the prodromal stage of AD in DS.
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Affiliation(s)
- Sigan L. Hartley
- Waisman CenterUniversity of Wisconsin–MadisonMadisonWisconsinUSA
- School of Human EcologyUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Benjamin Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Dana Tudorascu
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Laisze Lee
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Annie Cohen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Jamie C. Peven
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Matthew Zammit
- Waisman CenterUniversity of Wisconsin–MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - William Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Charles Laymon
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of BioengineeringUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Davneet Minhas
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Weiquan Luo
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Shahid Zaman
- Department of PsychiatryUniversity of CambridgeCambridgeUK
| | - Beau Ances
- Department of NeurologyWashington University at St. LouisSt. Louis, MissouriUSA
| | | | - Bradley T. Christian
- Waisman CenterUniversity of Wisconsin–MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin–MadisonMadisonWisconsinUSA
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Soltani A, Schworer EK, Altaye M, Fidler DJ, Beebe DW, Wiley S, Hoffman EK, Voth K, Esbensen AJ. Psychometric properties of inhibitory control measures among youth with Down syndrome. JOURNAL OF INTELLECTUAL DISABILITY RESEARCH : JIDR 2023; 67:753-769. [PMID: 37218393 PMCID: PMC10524385 DOI: 10.1111/jir.13043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 04/24/2023] [Accepted: 04/26/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND Inhibitory control measures have been commonly used when assessing individuals with Down syndrome. However, minimal attention has been devoted to evaluating the appropriateness of specific assessments for use in this population, potentially leading to erroneous conclusions. This study aimed to examine the psychometric properties of measures of inhibitory control among youth with Down syndrome. We sought to examine the feasibility, presence of floor or practice effects, test-retest reliability, convergent validity and correlations with broader developmental domains of a set of inhibitory control tasks. METHODS A sample of 97 youth with Down syndrome aged 6 to 17 years old participated in verbal and visuospatial tasks of inhibitory control including the Cat/dog Stroop, Neuropsychological Assessment Second Edition (NEPSY-II) Statue, National Institutes of Health (NIH) Toolbox Cognition Battery (TCB) Flanker, Leiter-3 Attention Sustained, and the Test of Attentional Performance for Children (KiTAP) Go/No-go and Distractibility subtests. Youth also completed standardised assessments of cognition and language, and caregivers completed rating scales. Psychometric properties on the tasks of inhibitory control were evaluated against a priori criteria. RESULTS Apart from demonstrating negligible practice effects, adequate psychometric properties were not observed for any inhibitory control measure within the current sample's age range. One task with low working memory demands (NEPSY-II Statue) generally had better psychometric properties than the other tasks assessed. Subgroups of participants with an IQ greater than 30 and age more than 8 years were shown to be more likely to be able to complete the inhibition tasks. CONCLUSIONS Findings suggest better feasibility for analogue tasks rather than computerised assessments of inhibitory control. Given the weak psychometrics of several common measures, future studies are required to evaluate other inhibitory control measures, specifically those with reduced working memory demands for youth with Down syndrome. Recommendations for use of the inhibitory control tasks among youth with Down syndrome are provided.
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Affiliation(s)
- Amanallah Soltani
- Department of Educational Psychology, Kerman Branch, Islamic Azad University, Kerman, Iran
| | - Emily K. Schworer
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Mekibib Altaye
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital, Cincinnati, OH, USA
| | - Deborah J. Fidler
- Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO, USA
| | - Dean W. Beebe
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Susan Wiley
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Emily K. Hoffman
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Kellie Voth
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Anna J. Esbensen
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Schworer EK, Soltani A, Altaye M, Fidler DJ, Esbensen AJ. Cognitive flexibility assessment in youth with Down syndrome: Reliability, practice effects, and validity. RESEARCH IN DEVELOPMENTAL DISABILITIES 2023; 133:104416. [PMID: 36603310 PMCID: PMC9852016 DOI: 10.1016/j.ridd.2022.104416] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 12/14/2022] [Accepted: 12/30/2022] [Indexed: 05/31/2023]
Abstract
BACKGROUND Cognitive flexibility refers to the ability to switch between different mental sets, tasks, or strategies and is challenging for some individuals with Down syndrome (DS). The lack of reliable and valid cognitive flexibility measures for individuals with DS is a major barrier to clinical trials and intervention studies designed to address cognitive challenges specific to DS. To avoid measurement limitations that could confound interpretations of performance in clinical trials in children with DS, it is critical to use phenotype-sensitive and psychometrically sound measures of cognitive flexibility. AIM This study aimed to evaluate the psychometric properties of three measures of cognitive flexibility including Rule-Shift, Weigl Sorting, and KiTAP Flexibility in a sample of 97 youth with DS aged 6-17 years old. METHOD Data were collected at two time points with a two-week interval. Parents also completed adaptive behavior and cognitive flexibility questionnaires. Child cognitive and language abilities were also assessed. RESULTS The Weigl Sorting met the most psychometric criteria, with adequate feasibility (≥ 80 %) and significant correlations with most of the broader developmental domains; however, the levels of test-retest reliability, practice effects, and convergent validity did not meet a priori criteria. Rule-Shift and KiTAP Flexibility measures did not have acceptable feasibility; although sensitivity and specificity analyses revealed that Rule-Shift may be appropriate for a subgroup of the participants. CONCLUSION No evaluated measures met all psychometric study criteria and, therefore, additional evaluation of cognitive flexibility measures is needed for use among individuals with DS.
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Affiliation(s)
- Emily K Schworer
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; University of Wisconsin-Madison, Waisman Center, Madison, WI, USA.
| | - Amanallah Soltani
- Department of Educational Psychology, Kerman Branch, Islamic Azad University, Kerman, Iran
| | - Mekibib Altaye
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital, Cincinnati, OH, USA
| | - Deborah J Fidler
- Human Development and Family Studies, Colorado State University, Fort Collins, CO, USA
| | - Anna J Esbensen
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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12
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Soltani A, Schworer EK, Esbensen AJ. Executive functioning and verbal fluency performance in youth with Down syndrome. RESEARCH IN DEVELOPMENTAL DISABILITIES 2022; 131:104358. [PMID: 36209524 PMCID: PMC9701181 DOI: 10.1016/j.ridd.2022.104358] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 09/02/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Executive functioning (EF) is an area of challenge for individuals with Down syndrome (DS) associated with a variety of downstream difficulties. Verbal fluency performance is one potential downstream effect that is commonly assessed in individuals with DS due to the measure's utility as a predictor of dementia. Verbal fluency requires individuals to inhibit irrelevant responses, shift between groupings of related words, and monitor to prevent repetition, all skills related to EF. AIMS This study aimed to determine the association between semantic verbal fluency performance and three EF subdomains (inhibition, shifting, and working memory) in youth with DS after taking into account vocabulary and cognitive ability. METHODS AND PROCEDURES Neuropsychological assessments (verbal and visuospatial), and parent reports of EF, were completed at one time point by 69 youth with DS 6-17 years old and their caregivers. Expressive and receptive vocabulary skills and cognitive ability were also assessed. OUTCOMES AND RESULTS The results revealed that verbal fluency performance was significantly associated with neuropsychological assessments of EF and parent report of inhibition even after controlling for the effects of vocabulary and cognitive ability. CONCLUSIONS AND IMPLICATIONS The findings highlight the underlying importance of EF in verbal fluency tasks in youth with DS.
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Affiliation(s)
- Amanallah Soltani
- Department of Educational Psychology, Kerman Branch, Islamic Azad University, Kerman, Iran
| | - Emily K Schworer
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Anna J Esbensen
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
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13
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Fleming V, Hom CL, Clare ICH, Hurd-Thomas SL, Krinsky-McHale S, Handen B, Hartley SL. Cognitive outcome measures for tracking Alzheimer's disease in Down syndrome. INTERNATIONAL REVIEW OF RESEARCH IN DEVELOPMENTAL DISABILITIES 2022; 62:227-263. [PMID: 37396708 PMCID: PMC10312212 DOI: 10.1016/bs.irrdd.2022.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Down syndrome (DS) is now viewed as a genetic type of Alzheimer's disease (AD), given the near-universal presence of AD pathology in middle adulthood and the elevated risk for developing clinical AD in DS. As the field of DS prepares for AD clinical intervention trials, there is a strong need to identify cognitive measures that are specific and sensitive to the transition from being cognitively stable to the prodromal (e.g., Mild Cognitive Impairment-Down syndrome) and clinical AD (e.g., Dementia) stages of the disease in DS. It is also important to determine cognitive measures that map onto biomarkers of early AD pathology during the transition from the preclinical to the prodromal stage of the disease, as this transition period is likely to be targeted and tracked in AD clinical trials. The present chapter discusses the current state of research on cognitive measures that could be used to screen/select study participants and as potential outcome measures in future AD clinical trials with adults with DS. In this chapter, we also identify key challenges that need to be overcome and questions that need to be addressed by the DS field as it prepares for AD clinical trials in the coming years.
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Affiliation(s)
- Victoria Fleming
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- School of Human Ecology, University of Wisconsin-Madison, Madison, WI, United States
| | - Christy L Hom
- Department of Psychiatry and Human Behavior, University of California, Irvine School of Medicine, Orange, CA, United States
| | - Isabel C H Clare
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | | | - Sharon Krinsky-McHale
- New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, United States
| | - Benjamin Handen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Sigan L Hartley
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- School of Human Ecology, University of Wisconsin-Madison, Madison, WI, United States
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14
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Hartley SL, Handen BL, Tudorascu D, Lee L, Cohen A, Piro‐Gambetti B, Zammit M, Klunk W, Laymon C, Zaman S, Ances BM, Sabbagh M, Christian BT. Role of tau deposition in early cognitive decline in Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12256. [PMID: 35386473 PMCID: PMC8976157 DOI: 10.1002/dad2.12256] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/01/2021] [Accepted: 10/07/2021] [Indexed: 11/10/2022]
Abstract
Introduction Drawing on the amyloid/tau/neurodegeneration (AT[N]) model, the study examined whether the tau positron emission tomography (PET) biomarker [18F]AV-1451 was associated with episodic memory problems beyond what was predicted by the amyloid beta (Aβ) PET in Down syndrome (DS). Methods Data from 123 non-demented adults with DS (M = 47 years, standard deviation = 6.34) were analyzed. The Cued Recall Test assessed episodic memory. Tau PET standardized update value ratio (SUVR) was assessed across Braak regions as continuous and binary (high tau [TH] vs. low tau [TL]) variable. Global PET Aβ SUVR was assessed as binary variable (Aβ- vs. Aβ+). Results In models adjusting for controls, tau SUVR was negatively associated with episodic memory performance in the Aβ+ but not Aβ- group. The Aβ+/TH group evidenced significantly worse episodic memory than the Aβ+/TL group. Discussion Similar to late-onset and autosomal dominant Alzheimer's disease (AD), high tau was an indicator of early prodromal AD in DS.
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Affiliation(s)
- Sigan L. Hartley
- Waisman CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- School of Human EcologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Benjamin L. Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Dana Tudorascu
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Laise Lee
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Annie Cohen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Brianna Piro‐Gambetti
- Waisman CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- School of Human EcologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Matthew Zammit
- Waisman CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - William Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Charles Laymon
- Department of Radiology and BioengineeringUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Shahid Zaman
- Department of PsychiatryUniversity of CambridgeCambridgeUK
| | - Beau M. Ances
- Department of NeurologyWashington University at St. LouisSt. LouisMissouriUSA
| | - Marwan Sabbagh
- Cleveland ClinicLou Ruvo Center for Brain HealthLas VegasNevadaUSA
| | - Bradley T. Christian
- Waisman CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Pivtoraiko VN, Racic T, Abrahamson EE, Villemagne VL, Handen BL, Lott IT, Head E, Ikonomovic MD. Postmortem Neocortical 3H-PiB Binding and Levels of Unmodified and Pyroglutamate Aβ in Down Syndrome and Sporadic Alzheimer's Disease. Front Aging Neurosci 2021; 13:728739. [PMID: 34489686 PMCID: PMC8416541 DOI: 10.3389/fnagi.2021.728739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 07/20/2021] [Indexed: 12/01/2022] Open
Abstract
Individuals with Down syndrome (DS) have a genetic predisposition for amyloid-β (Aβ) overproduction and earlier onset of Aβ deposits compared to patients with sporadic late-onset Alzheimer’s disease (AD). Positron emission tomography (PET) with Pittsburgh Compound-B (PiB) detects fibrillar Aβ pathology in living people with DS and AD, but its relationship with heterogeneous Aβ forms aggregated within amyloid deposits is not well understood. We performed quantitative in vitro3H-PiB binding assays and enzyme-linked immunosorbent assays of fibrillar (insoluble) unmodified Aβ40 and Aβ42 forms and N-terminus truncated and pyroglutamate-modified AβNpE3-40 and AβNpE3-42 forms in postmortem frontal cortex and precuneus samples from 18 DS cases aged 43–63 years and 17 late-onset AD cases aged 62–99 years. Both diagnostic groups had frequent neocortical neuritic plaques, while the DS group had more severe vascular amyloid pathology (cerebral amyloid angiopathy, CAA). Compared to the AD group, the DS group had higher levels of Aβ40 and AβNpE3-40, while the two groups did not differ by Aβ42 and AβNpE3-42 levels. This resulted in lower ratios of Aβ42/Aβ40 and AβNpE3-42/AβNpE3-40 in the DS group compared to the AD group. Correlations of Aβ42/Aβ40 and AβNpE3-42/AβNpE3-40 ratios with CAA severity were strong in DS cases and weak in AD cases. Pyroglutamate-modified Aβ levels were lower than unmodified Aβ levels in both diagnostic groups, but within group proportions of both pyroglutamate-modified Aβ forms relative to both unmodified Aβ forms were lower in the DS group but not in the AD group. The two diagnostic groups did not differ by 3H-PiB binding levels. These results demonstrate that compared to late-onset AD cases, adult DS individuals with similar severity of neocortical neuritic plaques and greater CAA pathology have a preponderance of both pyroglutamate-modified AβNpE3-40 and unmodified Aβ40 forms. Despite the distinct molecular profile of Aβ forms and greater vascular amyloidosis in DS cases, cortical 3H-PiB binding does not distinguish between diagnostic groups that are at an advanced level of amyloid plaque pathology. This underscores the need for the development of CAA-selective PET radiopharmaceuticals to detect and track the progression of cerebral vascular amyloid deposits in relation to Aβ plaques in individuals with DS.
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Affiliation(s)
- Violetta N Pivtoraiko
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, United States.,Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Tamara Racic
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Eric E Abrahamson
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, United States.,Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Victor L Villemagne
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Benjamin L Handen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Ira T Lott
- Department of Neurology, UC Irvine School of Medicine, Orange, CA, United States
| | - Elizabeth Head
- Department of Pathology and Laboratory Medicine, UC Irvine School of Medicine, Orange, CA, United States
| | - Milos D Ikonomovic
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, United States.,Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.,Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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16
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Martinez JL, Zammit MD, West NR, Christian BT, Bhattacharyya A. Basal Forebrain Cholinergic Neurons: Linking Down Syndrome and Alzheimer's Disease. Front Aging Neurosci 2021; 13:703876. [PMID: 34322015 PMCID: PMC8311593 DOI: 10.3389/fnagi.2021.703876] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/17/2021] [Indexed: 12/31/2022] Open
Abstract
Down syndrome (DS, trisomy 21) is characterized by intellectual impairment at birth and Alzheimer's disease (AD) pathology in middle age. As individuals with DS age, their cognitive functions decline as they develop AD pathology. The susceptibility to degeneration of a subset of neurons, known as basal forebrain cholinergic neurons (BFCNs), in DS and AD is a critical link between cognitive impairment and neurodegeneration in both disorders. BFCNs are the primary source of cholinergic innervation to the cerebral cortex and hippocampus, as well as the amygdala. They play a critical role in the processing of information related to cognitive function and are directly engaged in regulating circuits of attention and memory throughout the lifespan. Given the importance of BFCNs in attention and memory, it is not surprising that these neurons contribute to dysfunctional neuronal circuitry in DS and are vulnerable in adults with DS and AD, where their degeneration leads to memory loss and disturbance in language. BFCNs are thus a relevant cell target for therapeutics for both DS and AD but, despite some success, efforts in this area have waned. There are gaps in our knowledge of BFCN vulnerability that preclude our ability to effectively design interventions. Here, we review the role of BFCN function and degeneration in AD and DS and identify under-studied aspects of BFCN biology. The current gaps in BFCN relevant imaging studies, therapeutics, and human models limit our insight into the mechanistic vulnerability of BFCNs in individuals with DS and AD.
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Affiliation(s)
- Jose L. Martinez
- Cellular and Molecular Biology Graduate Program, University of Wisconsin, Madison, WI, United States
- Waisman Center, University of Wisconsin, Madison, WI, United States
| | - Matthew D. Zammit
- Waisman Center, University of Wisconsin, Madison, WI, United States
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Nicole R. West
- Cellular and Molecular Biology Graduate Program, University of Wisconsin, Madison, WI, United States
- Waisman Center, University of Wisconsin, Madison, WI, United States
| | - Bradley T. Christian
- Waisman Center, University of Wisconsin, Madison, WI, United States
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
- Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Anita Bhattacharyya
- Waisman Center, University of Wisconsin, Madison, WI, United States
- Department of Cellular and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
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17
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Elevated soluble amyloid beta protofibrils in Down syndrome and Alzheimer's disease. Mol Cell Neurosci 2021; 114:103641. [PMID: 34091073 DOI: 10.1016/j.mcn.2021.103641] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 01/31/2023] Open
Abstract
Down syndrome (DS) is caused by trisomy of chromosome 21, which leads to a propensity to develop amyloid β (Aβ) brain pathology in early adulthood followed later by cognitive and behavioral deterioration. Characterization of the Aβ pathology is important to better understand the clinical deterioration of DS individuals and to identify interventive strategies. Brain samples from people with DS and Alzheimer's disease (AD), as well as non-demented controls (NDC), were analyzed with respect to different Aβ species. Immunohistochemical staining using antibodies towards Aβ was also performed. Elevated levels of soluble Aβ protofibrils and insoluble Aβx-40 and Aβx-42 in formic acid brain extracts, and elevated immunohistochemical staining of Aβ deposits were demonstrated with the antibody BAN2401 (lecanemab) in DS and AD compared with NDC. These data and the promising data in a large phase 2 CE clinical trial with lecanemab suggest that lecanemab may have the potential to preserve cognitive capacity in DS. Lecanemab is currently in a phase 3 CE clinical trial.
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18
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Flores-Aguilar L, Iulita MF, Kovecses O, Torres MD, Levi SM, Zhang Y, Askenazi M, Wisniewski T, Busciglio J, Cuello AC. Evolution of neuroinflammation across the lifespan of individuals with Down syndrome. Brain 2021; 143:3653-3671. [PMID: 33206953 DOI: 10.1093/brain/awaa326] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 07/18/2020] [Accepted: 08/06/2020] [Indexed: 12/13/2022] Open
Abstract
Epidemiological and experimental studies suggest that a disease-aggravating neuroinflammatory process is present at preclinical stages of Alzheimer's disease. Given that individuals with Down syndrome are at increased genetic risk of Alzheimer's disease and therefore develop the spectrum of Alzheimer's neuropathology in a uniform manner, they constitute an important population to study the evolution of neuroinflammation across the Alzheimer's continuum. Therefore, in this cross-sectional study, we characterized the brain inflammatory profile across the lifespan of individuals with Down syndrome. Microglial morphology and inflammatory cytokine expression were analysed by immunohistochemistry and electrochemiluminescent-based immunoassays in the frontal cortex from foetuses to adults with Down syndrome and control subjects (16 gestational weeks to 64 years), totalling 127 cases. Cytokine expression in mixed foetal primary cultures and hippocampus of adults with Down syndrome, as well as the effects of sex on cytokine expression were also analysed. A higher microglial soma size-to-process length ratio was observed in the frontal cortex of children and young adults with Down syndrome before the development of full-blown Alzheimer's pathology. Moreover, young adults with Down syndrome also displayed increased numbers of rod-like microglia. Increased levels of interleukin-8 and interleukin-10 were observed in children with Down syndrome (1-10 years; Down syndrome n = 5, controls n = 10) and higher levels of interleukin-1β, interleukin-1α, interleukin-6, interleukin-8, interleukin-10, interleukin-15, eotaxin-3, interferon gamma-induced protein 10, macrophage-derived chemokine, and macrophage inflammatory protein-beta, were found in young adults with Down syndrome compared to euploid cases (13-25 years, Down syndrome n = 6, controls n = 24). Increased cytokine expression was also found in the conditioned media of mixed cortical primary cultures from second trimester foetuses with Down syndrome (Down syndrome n = 7, controls n = 7). Older adults with Down syndrome (39-68 years, Down syndrome n = 22, controls n = 16) displayed reduced levels of interleukin-10, interleukin-12p40, interferon-gamma and tumour necrosis factor-alpha. Microglia displayed larger somas and shorter processes. Moreover, an increase in dystrophic microglia and rod-like microglia aligning to neurons harbouring tau pathology were also observed. Sex stratification analyses revealed that females with Down syndrome had increased interleukin-6 and interleukin-8 levels compared to males with Down syndrome. Finally, multivariate projection methods identified specific cytokine patterns among individuals with Down syndrome. Our findings indicate the presence of an early and evolving neuroinflammatory phenotype across the lifespan in Down syndrome, a knowledge that is relevant for the discovery of stage-specific targets and for the design of possible anti-inflammatory trials against Alzheimer's disease in this population.
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Affiliation(s)
| | - M Florencia Iulita
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Canada.,Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Alzheimer-Down Unit, Fundación Catalana Síndrome de Down, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Olivia Kovecses
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Canada
| | - Maria D Torres
- Department of Neurobiology and Behavior, UCI-MIND Institute, and Center for the Neurobiology of Learning and Memory, University of California, Irvine, USA
| | - Sarah M Levi
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Canada
| | - Yian Zhang
- Division of Biostatistics, New York University, Grossman School of Medicine, New York, USA
| | | | - Thomas Wisniewski
- Departments of Neurology, Pathology, and Psychiatry, Center for Cognitive Neurology, New York University, Grossman School of Medicine, New York, USA
| | - Jorge Busciglio
- Department of Neurobiology and Behavior, UCI-MIND Institute, and Center for the Neurobiology of Learning and Memory, University of California, Irvine, USA
| | - A Claudio Cuello
- Department of Anatomy and Cell Biology, McGill University, Montreal, Canada.,Department of Pharmacology and Therapeutics, McGill University, Montreal, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.,Visiting Professor, Department of Pharmacology, Oxford University, Oxford, UK
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19
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Zammit MD, Laymon CM, Tudorascu DL, Hartley SL, Piro‐Gambetti B, Johnson SC, Stone CK, Mathis CA, Zaman SH, Klunk WE, Handen BL, Cohen AD, Christian BT. Patterns of glucose hypometabolism in Down syndrome resemble sporadic Alzheimer's disease except for the putamen. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 12:e12138. [PMID: 33490360 PMCID: PMC7804861 DOI: 10.1002/dad2.12138] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/09/2020] [Accepted: 11/09/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Adults with Down syndrome (DS) are predisposed to Alzheimer's disease (AD) and the relationship between cognition and glucose metabolism in this population has yet to be evaluated. METHODS Adults with DS (N = 90; mean age [standard deviation] = 38.0 [8.30] years) underwent [C-11]Pittsburgh compound B (PiB) and [F-18]fluorodeoxyglucose (FDG) positron emission tomography scans. Associations among amyloid beta (Aβ), FDG, and measures of cognition were explored. Interregional FDG metabolic connectivity was assessed to compare cognitively stable DS and mild cognitive impairment/AD (MCI-DS/AD). RESULTS Negative associations between Aβ and FDG were evident in regions affected in sporadic AD. A positive association was observed in the putamen, which is the brain region showing the earliest increases in Aβ deposition. Both Aβ and FDG were associated with measures of cognition, and metabolic connectivity distinguished cases of MCI-DS/AD from cognitively stable DS. DISCUSSION Associations among Aβ, FDG, and cognition reveal that neurodegeneration in DS resembles sporadic AD with the exception of the putamen, highlighting the usefulness of FDG in monitoring neurodegeneration in DS.
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Affiliation(s)
| | - Charles M. Laymon
- Department of Radiology, University of PittsburghPittsburghPennsylvaniaUSA
- Department of Bioengineering, University of PittsburghPittsburghPennsylvaniaUSA
| | - Dana L. Tudorascu
- Department of Psychiatry, University of PittsburghPittsburghPennsylvaniaUSA
| | - Sigan L. Hartley
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
| | | | - Sterling C. Johnson
- University of Wisconsin‐Madison Alzheimer's Disease Research CenterMadisonWisconsinUSA
| | - Charles K. Stone
- Department of Medicine, University of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Chester A. Mathis
- Department of Radiology, University of PittsburghPittsburghPennsylvaniaUSA
| | - Shahid H. Zaman
- University of Cambridge Intellectual Disability Research GroupCambridgeUK
| | - William E. Klunk
- Department of Psychiatry, University of PittsburghPittsburghPennsylvaniaUSA
| | - Benjamin L. Handen
- Department of Psychiatry, University of PittsburghPittsburghPennsylvaniaUSA
| | - Ann D. Cohen
- Department of Psychiatry, University of PittsburghPittsburghPennsylvaniaUSA
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20
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Brown SSG, Mak E, Zaman S. Multi-Modal Imaging in Down's Syndrome: Maximizing Utility Through Innovative Neuroimaging Approaches. Front Neurol 2021; 11:629463. [PMID: 33488507 PMCID: PMC7817620 DOI: 10.3389/fneur.2020.629463] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 12/08/2020] [Indexed: 11/13/2022] Open
Abstract
In recent decades, the field of neuroimaging has experienced a surge of popularity and innovation which has led to significant advancements in the understanding of neurological disease, if not immediate clinical translation. In the case of Down's syndrome, a complex interplay of neurodevelopmental and neurodegenerative processes occur as a result of the trisomy of chromosome 21. The substantial potential impact of improved clinical intervention and the limited research under-taken to date make it a prime candidate for longitudinal neuroimaging-based study. However, as with a multitude of other multifaceted brain-based disorders, singular utilization of lone modality imaging has limited interpretability and applicability. Indeed, a present challenge facing the neuroimaging community as a whole is the methodological integration of multi-modal imaging to enhance clinical understanding. This review therefore aims to assess the current literature in Down's syndrome utilizing a multi-modal approach with regards to improvement upon consideration of a single modality. Additionally, we discuss potential avenues of future research that may effectively combine structural, functional and molecular-based imaging techniques for the significant benefit of the understanding of Down's syndrome pathology.
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Affiliation(s)
- Stephanie S. G. Brown
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Elijah Mak
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Shahid Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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21
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Zammit MD, Tudorascu DL, Laymon CM, Hartley SL, Zaman SH, Ances BM, Johnson SC, Stone CK, Mathis CA, Klunk WE, Cohen AD, Handen BL, Christian BT. PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome. Neuroimage 2021; 228:117728. [PMID: 33421595 PMCID: PMC7953340 DOI: 10.1016/j.neuroimage.2021.117728] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/14/2020] [Accepted: 12/27/2020] [Indexed: 12/17/2022] Open
Abstract
Introduction: Adults with Down syndrome (DS) are predisposed to Alzheimer’s disease (AD) and reveal early amyloid beta (Aβ) pathology in the brain. Positron emission tomography (PET) provides an in vivo measure of Aβ throughout the AD continuum. Due to the high prevalence of AD in DS, there is need for longitudinal imaging studies of Aβ to better characterize the natural history of Aβ accumulation, which will aid in the staging of this population for clinical trials aimed at AD treatment and prevention. Methods: Adults with DS (N = 79; Mean age (SD) = 42.7 (7.28) years) underwent longitudinal [C-11]Pittsburgh compound B (PiB) PET. Global Aβ burden was quantified using the amyloid load metric (AβL). Modeled PiB images were generated from the longitudinal AβL data to visualize which regions are most susceptible to Aβ accumulation in DS. AβL change was evaluated across Aβ(−), Aβ-converter, and Aβ(+) groups to assess longitudinal Aβ trajectories during different stages of AD-pathology progression. AβL change values were used to identify Aβ-accumulators within the Aβ(−) group prior to reaching the Aβ(+) threshold (previously reported as 20 AβL) which would have resulted in an Aβ-converter classification. With knowledge of trajectories of Aβ(−) accumulators, a new cutoff of Aβ(+) was derived to better identify subthreshold Aβ accumulation in DS. Estimated sample sizes necessary to detect a 25% reduction in annual Aβ change with 80% power (alpha 0.01) were determined for different groups of Aβ-status. Results: Modeled PiB images revealed the striatum, parietal cortex and precuneus as the regions with earliest detected Aβ accumulation in DS. The Aβ(−) group had a mean AβL change of 0.38 (0.58) AβL/year, while the Aβ-converter and Aβ(+) groups had change of 2.26 (0.66) and 3.16 (1.34) AβL/year, respectively. Within the Aβ(−) group, Aβ-accumulators showed no significant difference in AβL change values when compared to Aβ-converter and Aβ(+) groups. An Aβ(+) cutoff for subthreshold Aβ accumulation was derived as 13.3 AβL. The estimated sample size necessary to detect a 25% reduction in Aβ was 79 for Aβ(−) accumulators and 59 for the Aβ-converter/Aβ(+) group in DS. Conclusion: Longitudinal AβL changes were capable of distinguishing Aβ accumulators from non-accumulators in DS. Longitudinal imaging allowed for identification of subthreshold Aβ accumulation in DS during the earliest stages of AD-pathology progression. Detection of active Aβ deposition evidenced by subthreshold accumulation with longitudinal imaging can identify DS individuals at risk for AD development at an earlier stage.
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Affiliation(s)
- Matthew D Zammit
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Avenue, Madison, WI 53705, United States.
| | - Dana L Tudorascu
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States.
| | - Charles M Laymon
- University of Pittsburgh, Department of Radiology, Pittsburgh, PA, United States; University of Pittsburgh, Department of Bioengineering, Pittsburgh, PA, United States.
| | - Sigan L Hartley
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Avenue, Madison, WI 53705, United States.
| | - Shahid H Zaman
- Cambridge Intellectual Disability Research Group, University of Cambridge, Cambridge, United Kingdom.
| | - Beau M Ances
- Washington University in St. Louis Department of Neurology, St. Louis, MO, United States.
| | - Sterling C Johnson
- University of Wisconsin-Madison, Alzheimer's Disease Research Center, Madison, WI, United States.
| | - Charles K Stone
- University of Wisconsin-Madison, Department of Medicine, Madison, WI, United States.
| | - Chester A Mathis
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States.
| | - William E Klunk
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States
| | - Ann D Cohen
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States.
| | - Benjamin L Handen
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States.
| | - Bradley T Christian
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Avenue, Madison, WI 53705, United States.
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22
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Lao PJ, Gutierrez J, Keator D, Rizvi B, Banerjee A, Igwe KC, Laing KK, Sathishkumar M, Moni F, Andrews H, Krinsky-McHale S, Head E, Lee JH, Lai F, Yassa MA, Rosas HD, Silverman W, Lott IT, Schupf N, Brickman AM. Alzheimer-Related Cerebrovascular Disease in Down Syndrome. Ann Neurol 2020; 88:1165-1177. [PMID: 32944999 PMCID: PMC7729262 DOI: 10.1002/ana.25905] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 09/15/2020] [Accepted: 09/15/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Adults with Down syndrome (DS) develop Alzheimer disease (AD) pathology by their 5th decade. Compared with the general population, traditional vascular risks in adults with DS are rare, allowing examination of cerebrovascular disease in this population and insight into its role in AD without the confound of vascular risk factors. We examined in vivo magnetic resonance imaging (MRI)-based biomarkers of cerebrovascular pathology in adults with DS, and determined their cross-sectional relationship with age, beta-amyloid pathology, and mild cognitive impairment or clinical AD diagnostic status. METHODS Participants from the Biomarkers of Alzheimer's Disease in Down Syndrome study (n = 138, 50 ± 7 years, 39% women) with MRI data and a subset (n = 90) with amyloid positron emission tomography (PET) were included. We derived MRI-based biomarkers of cerebrovascular pathology, including white matter hyperintensities (WMH), infarcts, cerebral microbleeds, and enlarged perivascular spaces (PVS), as well as PET-based biomarkers of amyloid burden. Participants were characterized as cognitively stable (CS), mild cognitive impairment-DS (MCI-DS), possible AD dementia, or definite AD dementia based on in-depth assessments of cognition, function, and health status. RESULTS There were detectable WMH, enlarged PVS, infarcts, and microbleeds as early as the 5th decade of life. There was a monotonic increase in WMH volume, enlarged PVS, and presence of infarcts across diagnostic groups (CS < MCI-DS < possible AD dementia < definite AD dementia). Higher amyloid burden was associated with a higher likelihood of an infarct. INTERPRETATION The findings highlight the prevalence of cerebrovascular disease in adults with DS and add to a growing body of evidence that implicates cerebrovascular disease as a core feature of AD and not simply a comorbidity. ANN NEUROL 2020;88:1165-1177.
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Affiliation(s)
- Patrick J Lao
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
| | - José Gutierrez
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
| | - David Keator
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - Batool Rizvi
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Arit Banerjee
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Kay C Igwe
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Krystal K Laing
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Mithra Sathishkumar
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - Fahmida Moni
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Howard Andrews
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Psychology, New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY
| | - Sharon Krinsky-McHale
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Psychology, New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY
| | - Elizabeth Head
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - Joseph H Lee
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Florence Lai
- Department of Neurology, Massachusetts General Hospital, Harvard University, Boston, MA
| | - Michael A Yassa
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - H Diana Rosas
- Department of Neurology, Massachusetts General Hospital, Harvard University, Boston, MA
- Department of Radiology, Athinoula Martinos Center, Massachusetts General Hospital, Harvard University, Charlestown, MA
| | - Wayne Silverman
- Department of Pediatrics, University of California, Irvine, Irvine, CA
| | - Ira T Lott
- Department of Pediatrics, University of California, Irvine, Irvine, CA
| | - Nicole Schupf
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Adam M Brickman
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
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23
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Mak E, Grigorova M, Beresford-Webb J, Malpetti M, Walpert M, Brown S, Jones E, Clare I, Hong YT, Fryer TD, Coles JP, Aigbirhio FI, Menon DK, Nestor PJ, Holland AJ, Zaman SH. Measuring cerebral perfusion with [ 11C]-PiB R1 in Down syndrome: associations with amyloid burden and longitudinal cognitive decline. Brain Commun 2020; 3:fcaa198. [PMID: 33543138 PMCID: PMC7849981 DOI: 10.1093/braincomms/fcaa198] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 08/11/2020] [Accepted: 08/31/2020] [Indexed: 11/14/2022] Open
Abstract
Positron emission tomography imaging of glucose hypometabolism and amyloid deposition are two well-established methods to evaluate preclinical changes in Alzheimer's disease and people with Down syndrome. However, the use of both imaging modalities may overburden participants, particularly those with intellectual disabilities and cognitive impairment. The relative tracer delivery of the [11C]-Pittsburgh Compound B has been proposed as a viable surrogate for cerebral perfusion. Here, we studied the impact of amyloid pathology on perfusion changes in Down syndrome and evaluated its associations with cognitive impairment. In total, 47 adults with Down syndrome underwent the [11C]-Pittsburgh Compound B imaging and structural imaging. The structural data were processed with Freesurfer to obtain anatomical segmentations and cortical thickness. The relative tracer delivery from [11C]-Pittsburgh Compound B was derived using a simplified reference tissue model. The sample was stratified into those with minimal amyloid burden (n = 25) and those with elevated amyloid (n = 22). We found significant and widespread reductions of cerebral perfusion in those with elevated amyloid burden, independent of age, gender, cognitive function and cortical thickness. In addition, cerebral perfusion was associated with the cognitive impairment among the Down syndrome group with elevated amyloid burden. These findings highlight the promising utility of the relative tracer delivery of the [11C]-Pittsburgh Compound B as a surrogate index in clinical trials for monitoring disease progression or tracking physiologic changes over time in Down syndrome.
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Affiliation(s)
- Elijah Mak
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, CB2 0QQ, UK
| | - Monika Grigorova
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, CB2 0QQ, UK
| | - Jessica Beresford-Webb
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, CB2 0QQ, UK
| | - Maura Malpetti
- Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0SZ, UK
| | - Madeline Walpert
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, CB2 0QQ, UK
| | - Stephanie Brown
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, CB2 0QQ, UK
| | - Elizabeth Jones
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, CB2 0QQ, UK
| | - Isabel Clare
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, CB2 0QQ, UK
| | - Young T Hong
- Wolfson Brain Imaging Centre, University of Cambridge, CB2 0QQ, UK
| | - Tim D Fryer
- Wolfson Brain Imaging Centre, University of Cambridge, CB2 0QQ, UK
| | - Jonathan P Coles
- Division of Anaesthesia, University of Cambridge, Cambridge, CB2 0QQ, UK
| | | | - David K Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Peter J Nestor
- Queensland Brain Institute, University of Queensland, Queensland, QLD 4072, Australia
| | - Anthony J Holland
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, CB2 0QQ, UK
| | - Shahid H Zaman
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, CB2 0QQ, UK
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Keator DB, Doran E, Taylor L, Phelan MJ, Hom C, Tseung K, van Erp TGM, Potkin SG, Brickman AM, Rosas DH, Yassa MA, Silverman W, Lott IT. Brain amyloid and the transition to dementia in Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12126. [PMID: 33204814 PMCID: PMC7656170 DOI: 10.1002/dad2.12126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/30/2020] [Accepted: 10/01/2020] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Down syndrome (DS) is associated with elevated risk for Alzheimer's disease (AD) due to amyloid beta (Aβ) lifelong accumulation. We hypothesized that the spatial distribution of brain Aβ predicts future dementia conversion in individuals with DS. METHODS We acquired 18F-florbetapir positron emission tomography scans from 19 nondemented individuals with DS at baseline and monitored them for 4 years, with five individuals transitioning to dementia. Machine learning classification using an independent test set determined features on 18F-florbetapir standardized uptake value ratio maps that predicted transition. RESULTS In addition to "AD signature" regions including the inferior parietal cortex, temporal lobes, and the cingulum, we found that Aβ cortical binding in the prefrontal and superior frontal cortices distinguished subjects who transitioned to dementia. Classification did well in predicting transitioners. DISCUSSION Our study suggests that specific regional profiles of brain amyloid in older adults with DS may predict cognitive decline and are informative in evaluating the risk for dementia.
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Affiliation(s)
- David B. Keator
- Department of Psychiatry and Human BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
| | - Eric Doran
- Department of PediatricsIrvine Medical CenterUniversity of CaliforniaOrangeCaliforniaUSA
| | - Lisa Taylor
- Department of Psychiatry and Human BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
| | - Michael J. Phelan
- Department of StatisticsUniversity of California, IrvineIrvineCaliforniaUSA
| | - Christy Hom
- Department of Psychiatry and Human BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
| | | | - Theo G. M. van Erp
- Department of Psychiatry and Human BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
- Center for the Neurobiology of Learning and MemoryUniversity of California, IrvineIrvineCaliforniaUSA
| | - Steven G. Potkin
- Department of Psychiatry and Human BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
| | - Adam M. Brickman
- Department of NeurologyCollege of Physicians and SurgeonsColumbia University, New YorkTaub Institute for Research on Alzheimer's Disease and the Aging BrainNew YorkUSA
| | - Diana H. Rosas
- Massachusetts General HospitalHarvard UniversityBostonMassachusettsUSA
| | - Michael A. Yassa
- Department of Psychiatry and Human BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
- Center for the Neurobiology of Learning and MemoryUniversity of California, IrvineIrvineCaliforniaUSA
- Department of Neurobiology and BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
| | - Wayne Silverman
- Department of PediatricsIrvine Medical CenterUniversity of CaliforniaOrangeCaliforniaUSA
| | - Ira T. Lott
- Department of PediatricsIrvine Medical CenterUniversity of CaliforniaOrangeCaliforniaUSA
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25
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Rafii MS, Ances BM, Schupf N, Krinsky‐McHale SJ, Mapstone M, Silverman W, Lott I, Klunk W, Head E, Christian B, Lai F, Rosas HD, Zaman S, Petersen ME, Strydom A, Fortea J, Handen B, O'Bryant S. The AT(N) framework for Alzheimer's disease in adults with Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12062. [PMID: 33134477 PMCID: PMC7588820 DOI: 10.1002/dad2.12062] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/04/2020] [Indexed: 12/15/2022]
Abstract
The National Institute on Aging in conjunction with the Alzheimer's Association (NIA-AA) recently proposed a biological framework for defining the Alzheimer's disease (AD) continuum. This new framework is based upon the key AD biomarkers (amyloid, tau, neurodegeneration, AT[N]) instead of clinical symptoms and represents the latest understanding that the pathological processes underlying AD begin decades before the manifestation of symptoms. By using these same biomarkers, individuals with Down syndrome (DS), who are genetically predisposed to developing AD, can also be placed more precisely along the AD continuum. The A/T(N) framework is therefore thought to provide an objective manner by which to select and enrich samples for clinical trials. This new framework is highly flexible and allows the addition of newly confirmed AD biomarkers into the existing AT(N) groups. As biomarkers for other pathological processes are validated, they can also be added to the AT(N) classification scheme, which will allow for better characterization and staging of AD in DS. These biological classifications can then be merged with clinical staging for an examination of factors that impact the biological and clinical progression of the disease. Here, we leverage previously published guidelines for the AT(N) framework to generate such a plan for AD among adults with DS.
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Affiliation(s)
- Michael S. Rafii
- Alzheimer's Therapeutic Research Institute (ATRI)Keck School of MedicineUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Beau M. Ances
- Center for Advanced Medicine NeuroscienceWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain/G.H. Sergievsky CenterColumbia University Irving Medical CenterNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyNeurological Institute of New York, Columbia University Irving Medical CenterNew YorkNew YorkUSA
- Department of PsychiatryColumbia University Medical CenterNew YorkNew YorkUSA
| | - Sharon J. Krinsky‐McHale
- Department of PsychologyNYS Institute for Basic Research in Developmental DisabilitiesStaten IslandNew YorkUSA
| | - Mark Mapstone
- Department of NeurologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Wayne Silverman
- Department of PediatricsSchool of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Ira Lott
- Department of PediatricsSchool of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - William Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Elizabeth Head
- Department of PathologyGillespie Neuroscience Research Facility, University of CaliforniaIrvineCaliforniaUSA
| | - Brad Christian
- Department of Medical Physics and PsychiatryUniversity of Wisconsin MadisonMadisonWisconsinUSA
| | - Florence Lai
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - H. Diana Rosas
- Departments of Neurology and RadiologyMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Shahid Zaman
- Department of PsychiatrySchool of Clinical MedicineUniversity of CambridgeCambridgeUK
- Cambridgeshire and Peterborough NHS Foundation TrustFulbourn HospitalCambridgeUK
| | - Melissa E. Petersen
- Department of Family Medicine and Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental SciencesInstitute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Juan Fortea
- Sant Pau Memory UnitDepartment of NeurologyHospital de la Santa Creu i Sant PauBiomedical Research Institute Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Benjamin Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Sid O'Bryant
- Institute for Translational Research and Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
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26
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Association of sleep with cognition and beta amyloid accumulation in adults with Down syndrome. Neurobiol Aging 2020; 93:44-51. [PMID: 32447011 PMCID: PMC7380565 DOI: 10.1016/j.neurobiolaging.2020.04.018] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 04/17/2020] [Accepted: 04/19/2020] [Indexed: 12/19/2022]
Abstract
Adults with Down syndrome have an increased risk for both disordered sleep and Alzheimer's disease (AD). In the general population, disrupted sleep has been linked to beta amyloid accumulation, an early pathophysiologic feature of AD. In this study, the association among sleep, beta amyloid, and measures of AD-related cognitive decline was examined in 47 non-demented adults with Down syndrome (aged 26-56 years). Sleep was measured using actigraphy over 7 nights. Pittsburgh Compound B positron emission tomography was used to assess global and striatal beta amyloid burden. Participants had the following clinical AD status: 7 (15%) mild cognitive impairment and 40 (85%) cognitively unaffected. Average length of night-time awakenings was significantly positively associated with striatal beta amyloid and decreased cognitive performance in executive functioning and motor planning and coordination. Findings suggest that disrupted sleep is associated with beta amyloid accumulation and cognitive features of preclinical AD in Down syndrome. Early identification and treatment of sleep problems could be a lifestyle intervention that may delay beta amyloid accumulation and cognitive decline in this AD vulnerable group.
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Abstract
Individuals with Down syndrome (DS) are at high risk for developing Alzheimer's disease (AD) pathology and this has provided significant insights into our understanding of the genetic basis of AD. The present review summarizes recent clinical, neuropathologic, imaging, and fluid biomarker studies of AD in DS (DSAD), highlighting the striking similarities, as well as some notable differences, between DSAD and the more common late-onset form of AD (LOAD) in the general population, as well as the much rarer, autosomal-dominant form of AD (ADAD). There has been significant progress in our understanding of the natural history of AD biomarkers in DS and their relationship to clinically meaningful changes. Additional work is needed to clearly define the continuum of AD that has been described in the general population, such as the preclinical, prodromal, and dementia stages of AD. Multiple therapeutic approaches, including those targeting not only β-amyloid but also tau and the amyloid precursor protein itself, require consideration. Recent developments in the field are presented within the context of such efforts to conduct clinical trials to treat and potentially prevent AD in DS.
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Affiliation(s)
- Michael S Rafii
- Alzheimer's Therapeutic Research Institute (ATRI), Keck School of Medicine, University of Southern California, 9860 Mesa Rim Road, San Diego, CA, 92121, USA.
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28
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Snyder HM, Bain LJ, Brickman AM, Carrillo MC, Esbensen AJ, Espinosa JM, Fernandez F, Fortea J, Hartley SL, Head E, Hendrix J, Kishnani PS, Lai F, Lao P, Lemere C, Mobley W, Mufson EJ, Potter H, Zaman SH, Granholm AC, Rosas HD, Strydom A, Whitten MS, Rafii MS. Further understanding the connection between Alzheimer's disease and Down syndrome. Alzheimers Dement 2020; 16:1065-1077. [PMID: 32544310 PMCID: PMC8865308 DOI: 10.1002/alz.12112] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 03/25/2020] [Accepted: 04/08/2020] [Indexed: 02/06/2023]
Abstract
Improved medical care of individuals with Down syndrome (DS) has led to an increase in life expectancy to over the age of 60 years. In conjunction, there has been an increase in age-related co-occurring conditions including Alzheimer's disease (AD). Understanding the factors that underlie symptom and age of clinical presentation of dementia in people with DS may provide insights into the mechanisms of sporadic and DS-associated AD (DS-AD). In March 2019, the Alzheimer's Association, Global Down Syndrome Foundation and the LuMind IDSC Foundation partnered to convene a workshop to explore the state of the research on the intersection of AD and DS research; to identify research gaps and unmet needs; and to consider how best to advance the field. This article provides a summary of discussions, including noting areas of emerging science and discovery, considerations for future studies, and identifying open gaps in our understanding for future focus.
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Affiliation(s)
- Heather M. Snyder
- Alzheimer’s Association, Medical & Scientific Relations, Chicago, Illinois, USA
| | - Lisa J. Bain
- Independent Science Writer, Elverson, Pennsylvania, USA
| | - Adam M. Brickman
- Department of Neurology, College of Physicians and Surgeons, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, New York, USA
| | - Maria C. Carrillo
- Alzheimer’s Association, Medical & Scientific Relations, Chicago, Illinois, USA
| | - Anna J. Esbensen
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children’s Hospital Medical Center & University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Joaquin M. Espinosa
- Department of Pharmacology, Linda Crnic Institute for Down Syndrome, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Fabian Fernandez
- Departments of Psychology and Neurology, BIO5 Institute, and The Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Juan Fortea
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autonoma de Barcelona, CIBERNED, Barcelona, Spain
- Down Medical Center, Catalan Down Syndrome Foundation, Barcelona, Spain
| | - Sigan L. Hartley
- Department of Human Development and Family Studies, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Elizabeth Head
- Department of Pathology & Laboratory Medicine, University of California, Irvine, Irvine, California, USA
| | - James Hendrix
- LuMind IDSC Foundation, Burlington, Massachusetts, USA
| | - Priya S. Kishnani
- Division of Medical Genetics, Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, USA
| | - Florence Lai
- Department of Neurology, Harvard University/Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Patrick Lao
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Cynthia Lemere
- Department of Neurology, Brigham & Women’s Hospital and Harvard University, Boston, Massachusetts, USA
| | - William Mobley
- Department of Neurosciences, University of California, San Diego, San Diego, California, USA
| | | | - Huntington Potter
- Rocky Mountain Alzheimer’s Disease Center and Linda Crnic Institute for Down Syndrome, University of Colorado School of Medicine, Denver, Colorado, USA
| | - Shahid H. Zaman
- Cambridge Intellectual & Developmental Disability Research Group, Department of Psychiatry University of Cambridge, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| | - Ann-Charlotte Granholm
- Knoebel Institute for Healthy Aging, University of Denver, Denver, Colorado, USA
- Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden
| | - H. Diana Rosas
- Departments of Neurology and Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental Sciences, Psychology and Neuroscience, King’s College London, South London and the Maudsley NHS Foundation Trust, LonDowns Consortium, Institute of Psychiatry, London, UK
| | | | - Michael S. Rafii
- Alzheimer’s Therapeutics Research Institute and Department of Neurology, University of Southern California, Los Angeles, California, USA
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Keator DB, Phelan MJ, Taylor L, Doran E, Krinsky‐McHale S, Price J, Ballard EE, Kreisl WC, Hom C, Nguyen D, Pulsifer M, Lai F, Rosas DH, Brickman AM, Schupf N, Yassa MA, Silverman W, Lott IT. Down syndrome: Distribution of brain amyloid in mild cognitive impairment. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12013. [PMID: 32435685 PMCID: PMC7233421 DOI: 10.1002/dad2.12013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 01/21/2020] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Down syndrome (DS) is associated with a higher risk of dementia. We hypothesize that amyloid beta (Aβ) in specific brain regions differentiates mild cognitive impairment in DS (MCI-DS) and test these hypotheses using cross-sectional and longitudinal data. METHODS 18F-AV-45 (florbetapir) positron emission tomography (PET) data were collected to analyze amyloid burden in 58 participants clinically classified as cognitively stable (CS) or MCI-DS and 12 longitudinal CS participants. RESULTS The study confirmed our hypotheses of increased amyloid in inferior parietal, lateral occipital, and superior frontal regions as the main effects differentiating MCI-DS from the CS groups. The largest annualized amyloid increases in longitudinal CS data were in the rostral middle frontal, superior frontal, superior/middle temporal, and posterior cingulate cortices. DISCUSSION This study helps us to understand amyloid in the MCI-DS transitional state between cognitively stable aging and frank dementia in DS. The spatial distribution of Aβ may be a reliable indicator of MCI-DS in DS.
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Affiliation(s)
- David B. Keator
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCalifornia
| | - Michael J. Phelan
- Institute for Memory Impairments and Neurological Disorders, UCIrvineCalifornia
| | - Lisa Taylor
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCalifornia
| | - Eric Doran
- Department of PediatricsUniversity of CaliforniaIrvine Medical CenterOrangeCalifornia
| | - Sharon Krinsky‐McHale
- New York State Institute for Basic Research in Developmental DisabilitiesNew YorkNew York
| | - Julie Price
- Massachusetts General HospitalHarvard UniversityBostonMassachusetts
| | - Erin E. Ballard
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCalifornia
| | | | - Christy Hom
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCalifornia
| | - Dana Nguyen
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCalifornia
| | | | - Florence Lai
- Massachusetts General HospitalHarvard UniversityBostonMassachusetts
| | - Diana H. Rosas
- Massachusetts General HospitalHarvard UniversityBostonMassachusetts
| | - Adam M. Brickman
- Department of Neurology and of EpidemiologyColumbia UniversityNew YorkNew York
| | - Nicole Schupf
- Department of Neurology and of EpidemiologyColumbia UniversityNew YorkNew York
| | - Michael A. Yassa
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCalifornia
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCalifornia
| | - Wayne Silverman
- Department of PediatricsUniversity of CaliforniaIrvine Medical CenterOrangeCalifornia
| | - Ira T. Lott
- Department of PediatricsUniversity of CaliforniaIrvine Medical CenterOrangeCalifornia
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Zammit MD, Laymon CM, Betthauser TJ, Cody KA, Tudorascu DL, Minhas DS, Sabbagh MN, Johnson SC, Zaman SH, Mathis CA, Klunk WE, Handen BL, Cohen AD, Christian BT. Amyloid accumulation in Down syndrome measured with amyloid load. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12020. [PMID: 32435686 PMCID: PMC7233422 DOI: 10.1002/dad2.12020] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 12/18/2019] [Accepted: 12/20/2019] [Indexed: 12/03/2022]
Abstract
INTRODUCTION Individuals with Down syndrome (DS) show enhanced amyloid beta (Aβ) deposition in the brain. A new positron emission tomography (PET) index of amyloid load (AβL ) was recently developed as an alternative to standardized uptake value ratios (SUVrs) to quantify Aβ burden with high sensitivity for detecting and tracking Aβ change.1. METHODS AβL was calculated in a DS cohort (N = 169, mean age ± SD = 39.6 ± 8.7 years) using [C-11]Pittsburgh compound B (PiB) PET imaging. DS-specific PiB templates were created for Aβ carrying capacity (K) and non-specific binding (NS). RESULTS The highest values of Aβ carrying capacity were found in the striatum and precuneus. Longitudinal changes in AβL displayed less variability when compared to SUVrs. DISCUSSION These results highlight the utility of AβL for characterizing Aβ deposition in DS. Rates of Aβ accumulation in DS were found to be similar to that observed in late-onset Alzheimer's disease (AD; ≈3% to 4% per year), suggesting that AD progression in DS is of earlier onset but not accelerated.
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Affiliation(s)
| | - Charles M. Laymon
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvania
| | - Tobey J. Betthauser
- Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsin
| | - Karly A. Cody
- Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsin
| | - Dana L. Tudorascu
- Department of Internal MedicineUniversity of PittsburghPittsburghPennsylvania
| | - Davneet S. Minhas
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvania
| | | | - Sterling C. Johnson
- Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsin
| | - Shahid H. Zaman
- Cambridge Intellectual Disability Research GroupUniversity of CambridgeCambridgeUK
| | - Chester A. Mathis
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvania
| | - William E. Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvania
| | | | - Ann D. Cohen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvania
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Fang WQ, Hwu WL, Chien YH, Yang SY, Chieh JJ, Chang LM, Huang AC, Lee NC, Chiu MJ. Composite Scores of Plasma Tau and β-Amyloids Correlate with Dementia in Down Syndrome. ACS Chem Neurosci 2020; 11:191-196. [PMID: 31799825 DOI: 10.1021/acschemneuro.9b00585] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Dementia frequently occurs in Down syndrome (DS) patients, and early intervention is important in its management. We have previously demonstrated a positive correlation of plasma β-amyloid Aβ42 levels and negative correlations of Aβ40 and tau levels with dementia in DS. In this study, we examined more cases and constructed composite scores with both tau and amyloids to correlate with dementia in DS. Plasma Aβ42, Aβ40, and tau proteins were measured by an immunomagnetic reduction assay in DS patients. Data were randomly and repeatedly split into training and validating sets, and logistic regression was applied to calculate the area under the curve (AUC) for each biomarker. A total of 73 DS patients (among them, 23 had neurodegeneration) and 77 controls were recruited. In DS patients without dementia, plasma Aβ40 and tau levels were highly elevated, but Aβ42 levels were lower than those of the healthy controls. DS patients with dementia, compared with DS patients with no dementia, had a large decline in Aβ40 and tau but a rise in Aβ42. For biomarker scores correlating with dementia, Aβ40 revealed an AUC of 0.912; the composite score of Aβ40 × tau revealed an AUC of 0.953; and a combined composite score of 0.1 for Aβ40 × Tau +0.9 Tau × Aβ40/Aβ42 achieved the highest AUC of 0.965. Therefore, composite biomarker scores including both plasma tau and β-amyloid levels correlate with dementia in DS better than using individual biomarker scores. The pattern of tau decline and Aβ42 rise in DS patients with dementia are also different from previous findings in Alzheimer's disease.
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Affiliation(s)
- Wei-Quan Fang
- Department of Pediatrics, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Wuh-Liang Hwu
- Department of Pediatrics, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Medical Genetics, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Yin-Hsiu Chien
- Department of Pediatrics, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Medical Genetics, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | | | - Jen-Jie Chieh
- Institute of Electro-optical Science and Technology, National Taiwan Normal University, Taipei 116, Taiwan
| | - Lih-Maan Chang
- Department of Clinical Psychology, National Taiwan University Hospital, National Taiwan University, Taipei 100, Taiwan
| | - Ai-Chu Huang
- Department of Medical Genetics, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Ni-Chung Lee
- Department of Pediatrics, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Medical Genetics, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Ming-Jang Chiu
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Psychology, National Taiwan University, Taipei 106, Taiwan
- Graduate Institute of Biomedical Engineering and Bioinformatics, National Taiwan University, Taipei 106, Taiwan
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32
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Lesot MJ, Vieira S, Reformat MZ, Carvalho JP, Wilbik A, Bouchon-Meunier B, Yager RR. Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application. INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS 2020. [PMCID: PMC7274647 DOI: 10.1007/978-3-030-50153-2_28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Harmonization of magnetic resonance imaging (MRI) and positron emission tomography (PET) scans from multi-scanner and multi-site studies presents a challenging problem. We applied the Removal of Artificial Voxel Effect by Linear regression (RAVEL) method to normalize T1-MRI intensities collected on two different scanners across two different sites as part of the Neurodegeneration in Aging Down syndrome (NiAD) study. The effects on FreeSurfer regional cortical thickness and volume outcome measures, in addition to FreeSurfer-based regional quantification of amyloid PET standardized uptake value ratio (SUVR) outcomes, were evaluated. A neuroradiologist visually assessed the accuracy of FreeSurfer hippocampus segmentations with and without the application of RAVEL. Quantitative results demonstrated that the application of RAVEL intensity normalization prior to running FreeSurfer significantly impacted both FreeSurfer volume and cortical thickness outcome measures. Visual assessment demonstrated that the application of RAVEL significantly improved FreeSurfer hippocampal segmentation accuracy. The RAVEL intensity normalization had little impact on PET SUVR measures.
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Affiliation(s)
| | - Susana Vieira
- IDMEC, IST, Universidade de Lisboa, Lisbon, Portugal
| | | | | | - Anna Wilbik
- Eindhoven University of Technology, Eindhoven, The Netherlands
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Rafii MS, Zaman S, Handen BL. Integrating Biomarker Outcomes into Clinical Trials for Alzheimer's Disease in Down Syndrome. JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE 2020; 8:48-51. [PMID: 33336224 DOI: 10.14283/jpad.2020.35] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The NIH-funded Alzheimer's Biomarker Consortium Down Syndrome (ABC-DS) and the European Horizon 21 Consortium are collecting critical new information on the natural history of Alzheimer's Disease (AD) biomarkers in adults with Down syndrome (DS), a population genetically predisposed to developing AD. These studies are also providing key insights into which biomarkers best represent clinically meaningful outcomes that are most feasible in clinical trials. This paper considers how these data can be integrated in clinical trials for individuals with DS. The Alzheimer's Clinical Trial Consortium - Down syndrome (ACTC-DS) is a platform that brings expert researchers from both networks together to conduct clinical trials for AD in DS across international sites while building on their expertise and experience.
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Affiliation(s)
- M S Rafii
- Michael S. Rafii, Alzheimer's Therapeutic Research Institute (ATRI), Keck School of Medicine, University of Southern California, USA,
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Hamburg S, Lowe B, Startin CM, Padilla C, Coppus A, Silverman W, Fortea J, Zaman S, Head E, Handen BL, Lott I, Song W, Strydom A. Assessing general cognitive and adaptive abilities in adults with Down syndrome: a systematic review. J Neurodev Disord 2019; 11:20. [PMID: 31470792 PMCID: PMC6716931 DOI: 10.1186/s11689-019-9279-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 07/22/2019] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Measures of general cognitive and adaptive ability in adults with Down syndrome (DS) used by previous studies vary substantially. This review summarises the different ability measures used previously, focusing on tests of intelligence quotient (IQ) and adaptive behaviour (AB), and where possible examines floor effects and differences between DS subpopulations. We aimed to use information regarding existing measures to provide recommendations for individual researchers and the DS research community. RESULTS Nineteen studies reporting IQ test data met inclusion for this review, with 17 different IQ tests used. Twelve of these IQ tests were used in only one study while five were used in two different studies. Eleven studies reporting AB test data met inclusion for this review, with seven different AB tests used. The only AB scales to be used by more than one study were the Vineland Adaptive Behaviour Scale (VABS; used by three studies) and the Vineland Adaptive Behavior Scale 2nd Edition (VABS-II; used by two studies). A variety of additional factors were identified which make comparison of test scores between studies problematic, including different score types provided between studies (e.g. raw scores compared to age-equivalent scores) and different participant inclusion criteria (e.g. whether individuals with cognitive decline were excluded). Floor effects were common for IQ tests (particularly for standardised test scores). Data exists to suggest that floor effects may be minimised by the use of raw test scores rather than standardised test scores. Raw scores may, therefore, be particularly useful in longitudinal studies to track change in cognitive ability over time. CONCLUSIONS Studies assessing general ability in adults with DS are likely to benefit from the use of both IQ and AB scales. The DS research community may benefit from the development of reporting standards for IQ and AB data, and from the sharing of raw study data enabling further in-depth investigation of issues highlighted by this review.
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Affiliation(s)
- Sarah Hamburg
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, SE5 8AF UK
- Division of Psychiatry, University College London, London, W1T 7NF UK
- The London Down Syndrome Consortium (LonDownS), London, UK
| | - Bryony Lowe
- Division of Psychiatry, University College London, London, W1T 7NF UK
- The London Down Syndrome Consortium (LonDownS), London, UK
- Department of Psychology, Loughborough University, Loughborough, Leicestershire LE11 3TU UK
| | - Carla Marie Startin
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, SE5 8AF UK
- Division of Psychiatry, University College London, London, W1T 7NF UK
- The London Down Syndrome Consortium (LonDownS), London, UK
| | - Concepcion Padilla
- Department of Psychiatry, Herchel Smith Building for Brain & Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ UK
| | - Antonia Coppus
- Dichterbij, Center for Intellectual Disabilities, Gennep, The Netherlands
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Wayne Silverman
- Department of Pediatrics, University of California, Irvine, USA
| | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau–Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Shahid Zaman
- Department of Psychiatry, Herchel Smith Building for Brain & Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ UK
| | - Elizabeth Head
- Sanders-Brown Center on Aging, University of Kentucky, 800 South Limestone Street, Lexington, KY 40536-0230 USA
| | - Benjamin L. Handen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213 USA
| | - Ira Lott
- Departments of Pediatrics and Neurology, University of California, Irvine, USA
| | - Weihong Song
- Townsend Family Laboratories, Department of Psychiatry, The University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC V6T 1Z3 Canada
| | - André Strydom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, SE5 8AF UK
- Division of Psychiatry, University College London, London, W1T 7NF UK
- The London Down Syndrome Consortium (LonDownS), London, UK
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Abrahamson EE, Head E, Lott IT, Handen BL, Mufson EJ, Christian BT, Klunk WE, Ikonomovic MD. Neuropathological correlates of amyloid PET imaging in Down syndrome. Dev Neurobiol 2019; 79:750-766. [PMID: 31379087 DOI: 10.1002/dneu.22713] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 07/31/2019] [Accepted: 07/31/2019] [Indexed: 11/07/2022]
Abstract
Down syndrome (DS) results in an overproduction of amyloid-β (Aβ) peptide associated with early onset of Alzheimer's disease (AD). DS cases have Aβ deposits detectable histologically as young as 12-30 years of age, primarily in the form of diffuse plaques, the type of early amyloid pathology also seen at pre-clinical (i.e., pathological aging) and prodromal stages of sporadic late onset AD. In DS subjects aged >40 years, levels of cortical Aβ deposition are similar to those observed in late onset AD and in addition to diffuse plaques involve cored plaques associated with dystrophic neurites (neuritic plaques), which are of neuropathological diagnostic significance in AD. The purpose of this review is to summarize and discuss findings from amyloid PET imaging studies of DS in reference to postmortem amyloid-based neuropathology. PET neuroimaging applied to subjects with DS has the potential to (a) track the natural progression of brain pathology, including the earliest stages of amyloid accumulation, and (b) determine whether amyloid PET biomarkers predict the onset of dementia. In addition, the question that is still incompletely understood and relevant to both applications is the ability of amyloid PET to detect Aβ deposits in their earliest form.
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Affiliation(s)
- Eric E Abrahamson
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Elizabeth Head
- Department of Pathology and Laboratory Medicine, UC Irvine School of Medicine, Orange, California
| | - Ira T Lott
- Department of Neurology, UC Irvine School of Medicine, Orange, California
| | - Benjamin L Handen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Elliott J Mufson
- Department of Neurobiology, Barrow Neurological Institute, Phoenix, Arizona
| | - Bradley T Christian
- Departments of Medical Physics and Psychiatry, Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin
| | - William E Klunk
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.,Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Milos D Ikonomovic
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.,Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.,Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
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Hamlett ED, LaRosa A, Mufson EJ, Fortea J, Ledreux A, Granholm AC. Exosome release and cargo in Down syndrome. Dev Neurobiol 2019; 79:639-655. [PMID: 31347291 DOI: 10.1002/dneu.22712] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 07/20/2019] [Accepted: 07/22/2019] [Indexed: 12/11/2022]
Abstract
Down syndrome (DS) is a multisystem disorder affecting 1 in 800 births worldwide. Advancing technology, medical treatment, and social intervention have dramatically increased life expectancy, yet there are many etiologies of this disorder that are in need of further research. The advent of the ability to capture extracellular vesicles (EVs) in blood from specific cell types allows for the investigation of novel intracellular processes. Exosomes are one type of EVs that have demonstrated great potential in uncovering new biomarkers of neurodegeneration and disease, and also that appear to be intricately involved in the transsynaptic spread of pathogenic factors underlying Alzheimer's disease and other neurological diseases. Exosomes are nanosized vesicles, generated in endosomal multivesicular bodies (MVBs) and secreted by most cells in the body. Since exosomes are important mediators of intercellular communication and genetic exchange, they have emerged as a major research focus and have revealed novel biological sequelae involved in conditions afflicting the DS population. This review summarizes current knowledge on exosome biology in individuals with DS, both early in life and in aging individuals. Collectively these studies have demonstrated that complex multicellular processes underlying DS etiologies may include abnormal formation and secretion of extracellular vesicles such as exosomes.
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Affiliation(s)
- Eric D Hamlett
- Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Angela LaRosa
- Department of Pediatrics, Medical University of South Carolina, Charleston, South Carolina
| | - Elliott J Mufson
- Department of Neurobiology and Neurology, Barrow Neurological Institute, Phoenix, Arizona
| | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, CIBERNED, Universitat Autònoma de Barcelona, Barcelona, Spain.,Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Aurélie Ledreux
- Department of Biological Sciences and the Knoebel Institute for Healthy Aging, University of Denver, Denver, Colorado
| | - Ann-Charlotte Granholm
- Department of Biological Sciences and the Knoebel Institute for Healthy Aging, University of Denver, Denver, Colorado
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37
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Wilson LR, Vatansever D, Annus T, Williams GB, Hong YT, Fryer TD, Nestor PJ, Holland AJ, Zaman SH. Differential effects of Down's syndrome and Alzheimer's neuropathology on default mode connectivity. Hum Brain Mapp 2019; 40:4551-4563. [PMID: 31350817 PMCID: PMC6865660 DOI: 10.1002/hbm.24720] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 06/12/2019] [Accepted: 06/21/2019] [Indexed: 11/13/2022] Open
Abstract
Down's syndrome is a chromosomal disorder that invariably results in both intellectual disability and Alzheimer's disease neuropathology. However, only a limited number of studies to date have investigated intrinsic brain network organisation in people with Down's syndrome, none of which addressed the links between functional connectivity and Alzheimer's disease. In this cross‐sectional study, we employed 11C‐Pittsburgh Compound‐B (PiB) positron emission tomography in order to group participants with Down's syndrome based on the presence of fibrillar beta‐amyloid neuropathology. We also acquired resting state functional magnetic resonance imaging data to interrogate the connectivity of the default mode network; a large‐scale system with demonstrated links to Alzheimer's disease. The results revealed widespread positive connectivity of the default mode network in people with Down's syndrome (n = 34, ages 30–55, median age = 43.5) and a stark lack of anti‐correlation. However, in contrast to typically developing controls (n = 20, ages 30–55, median age = 43.5), the Down's syndrome group also showed significantly weaker connections in localised frontal and posterior brain regions. Notably, while a comparison of the PiB‐negative Down's syndrome group (n = 19, ages 30–48, median age = 41.0) to controls suggested that alterations in default mode connectivity to frontal brain regions are related to atypical development, a comparison of the PiB‐positive (n = 15, ages 39–55, median age = 48.0) and PiB‐negative Down's syndrome groups indicated that aberrant connectivity in posterior cortices is associated with the presence of Alzheimer's disease neuropathology. Such distinct profiles of altered connectivity not only further our understanding of the brain physiology that underlies these two inherently linked conditions but may also potentially provide a biomarker for future studies of neurodegeneration in people with Down's syndrome.
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Affiliation(s)
- Liam R Wilson
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Deniz Vatansever
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Tiina Annus
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Guy B Williams
- The Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Young T Hong
- The Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Tim D Fryer
- The Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Peter J Nestor
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Anthony J Holland
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Shahid H Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK
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Chen XQ, Mobley WC. Alzheimer Disease Pathogenesis: Insights From Molecular and Cellular Biology Studies of Oligomeric Aβ and Tau Species. Front Neurosci 2019; 13:659. [PMID: 31293377 PMCID: PMC6598402 DOI: 10.3389/fnins.2019.00659] [Citation(s) in RCA: 192] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 06/07/2019] [Indexed: 01/08/2023] Open
Abstract
Alzheimer disease (AD) represents an oncoming epidemic that without an effective treatment promises to exact extraordinary human and financial burdens. Studies of pathogenesis are essential for defining targets for discovering disease-modifying treatments. Past studies of AD neuropathology provided valuable, albeit limited, insights. Nevertheless, building on these findings, recent studies have provided an increasingly rich harvest of genetic, molecular and cellular data that are creating unprecedented opportunities to both understand and treat AD. Among the most significant are those documenting the presence within the AD brain of toxic oligomeric species of Aβ and tau. Existing data support the view that such species can propagate and spread within neural circuits. To place these findings in context we first review the genetics and neuropathology of AD, including AD in Down syndrome (AD-DS). We detail studies that support the existence of toxic oligomeric species while noting the significant unanswered questions concerning their precise structures, the means by which they spread and undergo amplification and how they induce neuronal dysfunction and degeneration. We conclude by offering a speculative synthesis for how oligomers of Aβ and tau initiate and drive pathogenesis. While 100 years after Alzheimer's first report there is much still to learn about pathogenesis and the discovery of disease-modifying treatments, the application of new concepts and sophisticated new tools are poised to deliver important advances for combatting AD.
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Affiliation(s)
- Xu-Qiao Chen
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - William C. Mobley
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
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Levman J, MacDonald A, Baumer N, MacDonald P, Stewart N, Lim A, Cogger L, Shiohama T, Takahashi E. Structural magnetic resonance imaging demonstrates abnormal cortical thickness in Down syndrome: Newborns to young adults. NEUROIMAGE-CLINICAL 2019; 23:101874. [PMID: 31176294 PMCID: PMC6551568 DOI: 10.1016/j.nicl.2019.101874] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 05/17/2019] [Accepted: 05/25/2019] [Indexed: 12/11/2022]
Abstract
Down syndrome (DS) is a genetic disorder caused by an extra copy of all or part of chromosome 21 and is characterized by intellectual disability. We performed a retrospective analysis of 47 magnetic resonance imaging (MRI) examinations of participants with DS (aged 5 to 22 years) and compared them with a large cohort of 854 brain MRIs obtained from neurotypical participants (aged 5 to 32 years) with the objective of assessing the clinical presentation of Down syndrome, towards better understanding the neurological development associated with the condition. An additional cohort of 26 MRI exams from patients with DS and 139 exams from neurotypical participants (aged 0–5 years) are included as part of a supplementary analysis. Regionally distributed cortical thickness measurements, including average measurements as well as standard deviations (intra-regional cortical thickness variability) were extracted from each examination. The largest effect sizes observed were associated with increased average cortical thickness in the postcentral gyrus with specific abnormalities observed in Brodmann's areas 1 and 3b in DS, which was observed across all age ranges. We also observed strong effect sizes associated with decreased cortical thickness variability in the lateral orbitofrontal gyrus, the postcentral gyrus and more in DS participants. Findings suggest regionally irregular gray matter development in DS that can be detected with MRI. Large scale study of the clinical presentation of Down Syndrome Abnormally increased mean cortical thicknesses identified in key regions. Abnormally decreased variability in cortical thicknesses identified within key regions Findings may be connected with abnormal pruning in Down Syndrome.
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Affiliation(s)
- Jacob Levman
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, 401 Park Dr., Boston, MA 02215, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada.
| | - Allissa MacDonald
- Department of Biology, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada
| | - Nicole Baumer
- Department of Neurology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115, USA
| | - Patrick MacDonald
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, 401 Park Dr., Boston, MA 02215, USA
| | - Natalie Stewart
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, 401 Park Dr., Boston, MA 02215, USA
| | - Ashley Lim
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, 401 Park Dr., Boston, MA 02215, USA
| | - Liam Cogger
- Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada
| | - Tadashi Shiohama
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, 401 Park Dr., Boston, MA 02215, USA
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, 401 Park Dr., Boston, MA 02215, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA
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40
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Perez SE, Miguel JC, He B, Malek-Ahmadi M, Abrahamson EE, Ikonomovic MD, Lott I, Doran E, Alldred MJ, Ginsberg SD, Mufson EJ. Frontal cortex and striatal cellular and molecular pathobiology in individuals with Down syndrome with and without dementia. Acta Neuropathol 2019; 137:413-436. [PMID: 30734106 PMCID: PMC6541490 DOI: 10.1007/s00401-019-01965-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 01/18/2019] [Accepted: 01/22/2019] [Indexed: 02/06/2023]
Abstract
Although, by age 40, individuals with Down syndrome (DS) develop amyloid-β (Aβ) plaques and tau-containing neurofibrillary tangles (NFTs) linked to cognitive impairment in Alzheimer's disease (AD), not all people with DS develop dementia. Whether Aβ plaques and NFTs are associated with individuals with DS with (DSD +) and without dementia (DSD -) is under-investigated. Here, we applied quantitative immunocytochemistry and fluorescent procedures to characterize NFT pathology using antibodies specific for tau phosphorylation (pS422, AT8), truncation (TauC3, MN423), and conformational (Alz50, MC1) epitopes, as well as Aβ and its precursor protein (APP) to frontal cortex (FC) and striatal tissue from DSD + to DSD - cases. Expression profiling of single pS422 labeled FC layer V and VI neurons was also determined using laser capture microdissection and custom-designed microarray analysis. Analysis revealed that cortical and striatal Aβ plaque burdens were similar in DSD + and DSD - cases. In both groups, most FC plaques were neuritic, while striatal plaques were diffuse. By contrast, FC AT8-positive NFTs and neuropil thread densities were significantly greater in DSD + compared to DSD -, while striatal NFT densities were similar between groups. FC pS422-positive and TauC3 NFT densities were significantly greater than Alz50-labeled NFTs in DSD + , but not DSD - cases. Putaminal, but not caudate pS422-positive NFT density, was significantly greater than TauC3-positive NFTs. In the FC, AT8 + pS422 + Alz50, TauC3 + pS422 + Alz50, pS422 + Alz50, and TauC3 + pS422 positive NFTs were more frequent in DSD + compared to DSD- cases. Single gene-array profiling of FC pS422 positive neurons revealed downregulation of 63 of a total of 864 transcripts related to Aβ/tau biology, glutamatergic, cholinergic, and monoaminergic metabolism, intracellular signaling, cell homeostasis, and cell death in DSD + compared DSD - cases. These observations suggest that abnormal tau aggregation plays a critical role in the development of dementia in DS.
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Affiliation(s)
- Sylvia E Perez
- Department of Neurobiology and Neurology, Barrow Neurological Institute, 350 W. Thomas St, Phoenix, AZ, 85013, USA
- School of Life Sciences, College of Liberal Arts and Sciences, Arizona State University, Tempe, AZ, 85287, USA
| | - Jennifer C Miguel
- Department of Neurobiology and Neurology, Barrow Neurological Institute, 350 W. Thomas St, Phoenix, AZ, 85013, USA
| | - Bin He
- Department of Neurobiology and Neurology, Barrow Neurological Institute, 350 W. Thomas St, Phoenix, AZ, 85013, USA
| | | | - Eric E Abrahamson
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, 15213, USA
- Departments of Neurology and Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Milos D Ikonomovic
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, 15213, USA
- Departments of Neurology and Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Ira Lott
- Departments of Pediatrics and Neurology, University of California, Irvine, CA, 92697, USA
| | - Eric Doran
- Departments of Pediatrics and Neurology, University of California, Irvine, CA, 92697, USA
| | - Melissa J Alldred
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, 10962, USA
- Departments of Psychiatry, NYU Neuroscience Institute, NYU Langone Medical Center, New York, NY, 10021, USA
| | - Stephen D Ginsberg
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, 10962, USA
- Departments of Psychiatry, NYU Neuroscience Institute, NYU Langone Medical Center, New York, NY, 10021, USA
- Departments of Neuroscience and Physiology, The NYU Neuroscience Institute, NYU Langone Medical Center, New York, NY, 10021, USA
| | - Elliott J Mufson
- Department of Neurobiology and Neurology, Barrow Neurological Institute, 350 W. Thomas St, Phoenix, AZ, 85013, USA.
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Tudorascu DL, Anderson SJ, Minhas DS, Yu Z, Comer D, Lao P, Hartley S, Laymon CM, Snitz BE, Lopresti BJ, Johnson S, Price JC, Mathis CA, Aizenstein HJ, Klunk WE, Handen BL, Christian BT, Cohen AD. Comparison of longitudinal Aβ in nondemented elderly and Down syndrome. Neurobiol Aging 2019; 73:171-176. [PMID: 30359879 PMCID: PMC6251757 DOI: 10.1016/j.neurobiolaging.2018.09.030] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 09/21/2018] [Accepted: 09/23/2018] [Indexed: 12/31/2022]
Abstract
Down syndrome (DS) predisposes individuals to early Alzheimer's disease (AD). Using Pittsburgh Compound B ([11C]PiB), a pattern of striatal amyloid beta (Aβ) that is elevated relative to neocortical binding has been reported, similar to that of nondemented autosomal dominant AD mutation carriers. However, it is not known whether changes in striatal and neocortical [11C]PiB retention differ over time in a nondemented DS population when compared to changes in a nondemented elderly (NDE) population. The purpose of this work was to assess longitudinal changes in trajectories of Aβ in a nondemented DS compared to an NDE cohort. The regional trajectories for anterior ventral striatum (AVS), frontal cortex, and precuneus [11C]PiB retention were explored over time using linear mixed effects models with fixed effects of time, cohort, and time-by-cohort interactions and subject as random effects. Significant differences between DS and NDE cohort trajectories for all 3 region of interests were observed (p < 0.05), with the DS cohort showing a faster accumulation in the AVS and slower accumulation in the frontal cortex and precuneus compared to the NDE cohort. These data add to the previously reported distinct pattern of early striatal deposition not commonly seen in sporadic AD by demonstrating that individuals with DS may also accumulate Aβ at a rate faster in the AVS when compared to NDE subjects.
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Affiliation(s)
- Dana L Tudorascu
- Department of Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA; Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, USA
| | - Stewart J Anderson
- Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, USA
| | - Davneet S Minhas
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Zheming Yu
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Diane Comer
- Department of Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA
| | - Patrick Lao
- Department of Medical Physics, University of Wisconsin, Madison School of Medicine, Madison, WI, USA; Department of Waisman Center, University of Wisconsin, Madison School of Medicine, Madison, WI, USA
| | - Sigan Hartley
- Department of Waisman Center, University of Wisconsin, Madison School of Medicine, Madison, WI, USA; Departments of Human Development and Family Studies, University of Wisconsin, Madison School of Medicine, Madison, WI, USA
| | - Charles M Laymon
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Biongeenering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Beth E Snitz
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brian J Lopresti
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sterling Johnson
- Department of Medical Physics, University of Wisconsin, Madison School of Medicine, Madison, WI, USA; Department of Medicine and Geriatrics, University of Wisconsin, Madison School of Medicine, Madison, WI, USA
| | - Julie C Price
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Massachusetts General Hospital, A. A. Martinos Center for Biomedical Imaging, Cambridge, MA, USA
| | - Chester A Mathis
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Howard J Aizenstein
- Department of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA
| | - William E Klunk
- Department of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA
| | - Benjamin L Handen
- Department of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA
| | - Brad T Christian
- Department of Medical Physics, University of Wisconsin, Madison School of Medicine, Madison, WI, USA; Department of Waisman Center, University of Wisconsin, Madison School of Medicine, Madison, WI, USA
| | - Ann D Cohen
- Department of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA.
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Lao PJ, Handen BL, Betthauser TJ, Cody KA, Cohen AD, Tudorascu DL, Stone CK, Price JC, Johnson SC, Klunk WE, Christian BT. Imaging neurodegeneration in Down syndrome: brain templates for amyloid burden and tissue segmentation. Brain Imaging Behav 2019; 13:345-353. [PMID: 29752653 PMCID: PMC6230506 DOI: 10.1007/s11682-018-9888-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The focus of Alzheimer's disease (AD) neuroimaging research has shifted towards an investigation of the earliest stages of AD pathogenesis, which manifests in every young adult with Down syndrome (DS; trisomy 21) resulting from a deterministic genetic predisposition to amyloid precursor protein overproduction. Due to morphological differences in brain structure in the DS population, special consideration must be given to processing pipelines and the use of normative atlases developed for the non-DS population. Further, the use of typical MRI to MRI template spatial normalization is less desirable in this cohort due to a greater presence of motion artefacts in MRI images. The diffuse nature of PiB uptake and comparatively lower spatial resolution of the PET image permits the purposing of this modality as a template for spatial normalization, which can substantially improve the robustness of this procedure in the cases of MRI images with motion. The aim of this work was to establish standardized methods for spatial normalization and tissue type segmentation using DS specific templates in order to perform voxel-wise analyses. A total of 72 adults with DS underwent [11C]PiB PET to assess brain amyloid burden and volumetric MRI imaging. A DS specific PiB template for spatial normalization and a set of DS specific prior probability templates were created with two-pass methods. With implementation of this DS specific PiB template, no participants were excluded due to poor spatial normalization, thus maximizing the sample size for PiB analyses in standardized space. In addition, difference images between prior probability templates created from the general population and the DS population reflected known morphological differences, particularly in the frontal cortex. In conclusion, DS specific templates that account for unique challenges improve spatial normalization and tissue type segmentation, and provide a framework for reliable voxel-wise analysis of AD biomarkers in this atypical population.
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Affiliation(s)
- Patrick J. Lao
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705 USA ,Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI 53705 USA
| | - Ben L. Handen
- Department of Psychiatry, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213 USA ,Department of Pediatrics, University of Pittsburgh, 4401 Penn Avenue, Pittsburgh, PA 15224 USA ,Department of Psychology, University of Pittsburgh, 201 South Bouquet Street, Pittsburgh, PA 15260 USA ,Department of Instruction and Learning, University of Pittsburgh, 230 South Bouquet Street, Pittsburgh, PA 15260 USA
| | - Tobey J. Betthauser
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705 USA ,Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI 53705 USA
| | - Karly A. Cody
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI 53705 USA
| | - Annie D. Cohen
- Department of Psychiatry, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213 USA
| | - Dana L. Tudorascu
- Department of Psychiatry, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213 USA ,Department of Internal Medicine, University of Pittsburgh, 3459 Fifth Avenue, Pittsburgh, PA 15213 USA ,Department of Biostatistics, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261 USA
| | - Charles K. Stone
- Department of Cardiovascular Medicine, University of Wisconsin-Madison, 1 South Park Street, Madison, WI 53715 USA
| | - Julie C. Price
- Department of Radiology, University of Pittsburgh, 3600 Forbes @ Meyran Avenues, Pittsburgh, PA 15213 USA ,Department of Radiology, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129 USA
| | - Sterling C. Johnson
- Department of Medicine-Geriatrics, University of Wisconsin-Madison, 1685 Highland Ave, Madison, WI 53705 USA
| | - William E. Klunk
- Department of Psychiatry, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213 USA ,Department of Neurology, University of Pittsburgh, 3471 Fifth Avenue, Pittsburgh, PA 15213 USA
| | - Bradley T. Christian
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705 USA ,Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI 53705 USA ,Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd, Madison, WI 53719 USA
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Strydom A, Coppus A, Blesa R, Danek A, Fortea J, Hardy J, Levin J, Nuebling G, Rebillat AS, Ritchie C, van Duijn C, Zaman S, Zetterberg H. Alzheimer's disease in Down syndrome: An overlooked population for prevention trials. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2018; 4:703-713. [PMID: 30581976 PMCID: PMC6296162 DOI: 10.1016/j.trci.2018.10.006] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The discovery that adults with Down syndrome (DS) have neuropathological features identical to individuals with sporadic Alzheimer's disease (AD) played a key role in the identification of the amyloid precursor protein gene on chromosome 21 and resulted in the amyloid cascade hypothesis. Individuals with DS have a lifetime risk for dementia in excess of 90%, and DS is now acknowledged to be a genetic form of AD similar to rare autosomal-dominant causes. Just as DS put the spotlight on amyloid precursor protein mutations, it is also likely to inform us of the impact of manipulating the amyloid pathway on treatment outcomes in AD. Ironically, however, individuals with DS are usually excluded from AD trials. This review will discuss primary and secondary prevention trials for AD in DS and the potential barriers and solutions to such trials and describe the Europe-wide Horizon21 Consortium to establish a DS-AD prevention clinical trials network.
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Affiliation(s)
- André Strydom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, UK
- Division of Psychiatry, University Collee London, London, UK
- The London Down Syndrome Consortium (LonDownS), UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Antonia Coppus
- Dichterbij, Center for Intellectual Disabilities, Gennep, the Netherlands
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rafael Blesa
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau- Biomedical Research Institute Sant Pau-Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Spain
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau- Biomedical Research Institute Sant Pau-Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Spain
- Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain
| | - John Hardy
- The London Down Syndrome Consortium (LonDownS), UK
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
- Reta Lila Weston Institute, Institute of Neurology, University College London, London, UK
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) site Munich, Munich, Germany
| | - Georg Nuebling
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | | | - Craig Ritchie
- Centre for Clinical Brain Sciences, Dementia Prevention Research Group, University of Edinburgh
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Shahid Zaman
- Cambridge Intellectual & Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire & Peterborough NHS Foundation Trust (CBFT), Fulbourn Hospital, Cambridge, UK
| | - Henrik Zetterberg
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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Head E, Powell DK, Schmitt FA. Metabolic and Vascular Imaging Biomarkers in Down Syndrome Provide Unique Insights Into Brain Aging and Alzheimer Disease Pathogenesis. Front Aging Neurosci 2018; 10:191. [PMID: 29977201 PMCID: PMC6021507 DOI: 10.3389/fnagi.2018.00191] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 06/06/2018] [Indexed: 12/26/2022] Open
Abstract
People with Down syndrome (DS) are at high risk for developing Alzheimer disease (AD). Neuropathology consistent with AD is present by 40 years of age and dementia may develop up to a decade later. In this review, we describe metabolic and vascular neuroimaging studies in DS that suggest these functional changes are a key feature of aging, linked to cognitive decline and AD in this vulnerable cohort. FDG-PET imaging in DS suggests systematic reductions in glucose metabolism in posterior cingulate and parietotemporal cortex. Magentic resonance spectroscopy studies show consistent decreases in neuronal health and increased myoinositol, suggesting inflammation. There are few vascular imaging studies in DS suggesting a gap in our knowledge. Future studies would benefit from longitudinal measures and combining various imaging approaches to identify early signs of dementia in DS that may be amenable to intervention.
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Affiliation(s)
- Elizabeth Head
- Department of Pharmacology & Nutritional Sciences, Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, United States
| | - David K Powell
- Magnetic Resonance Imaging and Spectroscopy Center, Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, United States
| | - Frederick A Schmitt
- Department of Neurology, Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, United States
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Tudorascu DL, Minhas DS, Lao PJ, Betthauser TJ, Yu Z, Laymon CM, Lopresti BJ, Mathis CA, Klunk WE, Handen BL, Christian BT, Cohen AD. The use of Centiloids for applying [ 11C]PiB classification cutoffs across region-of-interest delineation methods. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2018; 10:332-339. [PMID: 30014032 PMCID: PMC6024172 DOI: 10.1016/j.dadm.2018.03.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
INTRODUCTION Centiloid standardization was developed to establish a quantitative outcome measure of amyloid burden that could accommodate the integration of different amyloid positron emission tomography radiotracers or different methods of quantifying the same tracer. The goal of this study was to examine the use of Centiloids for establishing amyloid classification cutoffs for differing region-of-interest (ROI) delineation schemes. METHODS Using ROIs from hand-drawn delineation in native space as the gold standard, we compared standard uptake value ratios obtained from the 6 hand-drawn ROIs that determine amyloid-positivity classification with standard uptake value ratio obtained from 3 different automated techniques (FreeSurfer, Statistical Parametric Mapping, and superimposed hand-drawn ROIs in Pittsburgh Compound B template space). We tested between-methods reliability using repeated measures models and intraclass correlation coefficients. RESULTS We found high reliability between the hand-drawn standard method and other methods for almost all the regions considered. However, small differences in standard uptake value ratio were found to lead to unreliable classifications when the hand-drawn native space-derived cutoffs were used across other ROI delineation methods. DISCUSSION The use of Centiloid standardization greatly improved the agreement of Pittsburgh Compound B classification across methods and may serve as an alternative method for applying cutoffs across methodologically different outcomes.
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Affiliation(s)
- Dana L. Tudorascu
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Davneet S. Minhas
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Patrick J. Lao
- Department of Medical Physics, University of Wisconsin–Madison, School of Medicine, Madison, WI, USA
- Waisman Center, University of Wisconsin–Madison, School of Medicine, Madison, WI, USA
| | - Tobey J. Betthauser
- Department of Medical Physics, University of Wisconsin–Madison, School of Medicine, Madison, WI, USA
- Waisman Center, University of Wisconsin–Madison, School of Medicine, Madison, WI, USA
| | - Zheming Yu
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Charles M. Laymon
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brian J. Lopresti
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Chet A. Mathis
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - William E. Klunk
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Benjamin L. Handen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Bradley T. Christian
- Department of Medical Physics, University of Wisconsin–Madison, School of Medicine, Madison, WI, USA
- Waisman Center, University of Wisconsin–Madison, School of Medicine, Madison, WI, USA
| | - Ann D. Cohen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Head E, Helman AM, Powell D, Schmitt FA. Down syndrome, beta-amyloid and neuroimaging. Free Radic Biol Med 2018; 114:102-109. [PMID: 28935420 PMCID: PMC5748259 DOI: 10.1016/j.freeradbiomed.2017.09.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 09/12/2017] [Accepted: 09/14/2017] [Indexed: 12/20/2022]
Abstract
This review focuses on the role of Aβ in AD pathogenesis in Down syndrome and current approaches for imaging Aβ in vivo. We will describe how Aβ deposits with age, the posttranslational modifications that can occur, and detection in biofluids. Three unique case studies describing partial trisomy 21 cases without APP triplication, and the occurrences of low level mosaic trisomy 21 in an early onset AD patient are presented. Brain imaging for Aβ includes those by positron emission tomography and ligands (Pittsburgh Compound B, Florbetapir, and FDDNP) that bind Aβ have been published and are summarized here. In combination, we have learned a great deal about Aβ in DS in terms of characterizing age of onset of this pathology and it is exciting to note that there is a clinical trial in DS targeting Aβ that may lead to clinical benefits.
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Affiliation(s)
- Elizabeth Head
- University of Kentucky, Sanders-Brown Center on Aging, 800 South Limestone Street, Lexington, KY 40536, United States; University of Kentucky, Department of Pharmacology & Nutritional Sciences, Lexington, KY 40536, United States.
| | - Alex M Helman
- University of Kentucky, Sanders-Brown Center on Aging, 800 South Limestone Street, Lexington, KY 40536, United States; University of Kentucky, Department of Pharmacology & Nutritional Sciences, Lexington, KY 40536, United States; University of Kentucky, Magnetic Resonance Imaging and Spectroscopy Center, Lexington, KY 40536, United States; University of Kentucky, Department of Neurology, Lexington, KY 40536, United States
| | - David Powell
- University of Kentucky, Magnetic Resonance Imaging and Spectroscopy Center, Lexington, KY 40536, United States
| | - Frederick A Schmitt
- University of Kentucky, Sanders-Brown Center on Aging, 800 South Limestone Street, Lexington, KY 40536, United States; University of Kentucky, Department of Neurology, Lexington, KY 40536, United States
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47
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Barone E, Arena A, Head E, Butterfield DA, Perluigi M. Disturbance of redox homeostasis in Down Syndrome: Role of iron dysmetabolism. Free Radic Biol Med 2018; 114:84-93. [PMID: 28705658 PMCID: PMC5748256 DOI: 10.1016/j.freeradbiomed.2017.07.009] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 07/05/2017] [Accepted: 07/06/2017] [Indexed: 02/08/2023]
Abstract
Down Syndrome (DS) is the most common genetic form of intellectual disability that leads in the majority of cases to development of early-onset Alzheimer-like dementia (AD). The neuropathology of DS has several common features with AD including alteration of redox homeostasis, mitochondrial deficits, and inflammation among others. Interestingly, some of the genes encoded by chromosome 21 are responsible of increased oxidative stress (OS) conditions that are further exacerbated by decreased antioxidant defense. Previous studies from our groups showed that accumulation of oxidative damage is an early event in DS neurodegeneration and that oxidative modifications of selected proteins affects the integrity of the protein degradative systems, antioxidant response, neuronal integrity and energy metabolism. In particular, the current review elaborates recent findings demonstrating the accumulation of oxidative damage in DS and we focus attention on specific deregulation of iron metabolism, which affects both the central nervous system and the periphery. Iron dysmetabolism is a well-recognized factor that contributes to neurodegeneration; thus we opine that better understanding how and to what extent the concerted loss of iron dyshomeostasis and increased OS occur in DS could provide novel insights for the development of therapeutic strategies for the treatment of Alzheimer-like dementia.
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Affiliation(s)
- Eugenio Barone
- Department of Biochemical Sciences, Sapienza University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy; Universidad Autónoma de Chile, Instituto de Ciencias Biomédicas, Facultad de alud, Avenida Pedro de Valdivia 425, Providencia, Santiago, Chile
| | - Andrea Arena
- Department of Biochemical Sciences, Sapienza University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy
| | - Elizabeth Head
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506 USA; Department of Neurology, University of Kentucky, Lexington, KY 40506 USA
| | - D Allan Butterfield
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506 USA; Department of Chemistry, University of Kentucky, Lexington, KY 40506 USA
| | - Marzia Perluigi
- Department of Biochemical Sciences, Sapienza University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy.
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Neale N, Padilla C, Fonseca LM, Holland T, Zaman S. Neuroimaging and other modalities to assess Alzheimer's disease in Down syndrome. NEUROIMAGE-CLINICAL 2017; 17:263-271. [PMID: 29159043 PMCID: PMC5683343 DOI: 10.1016/j.nicl.2017.10.022] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 10/18/2017] [Accepted: 10/23/2017] [Indexed: 12/29/2022]
Abstract
People with Down syndrome (DS) develop Alzheimer's disease (AD) at higher rates and a younger age of onset compared to the general population. As the average lifespan of people with DS is increasing, AD is becoming an important health concern in this group. Neuroimaging is becoming an increasingly useful tool in understanding the pathogenesis of dementia development in relation to clinical symptoms. Furthermore, neuroimaging has the potential to play a role in AD diagnosis and monitoring of therapeutics. This review describes major recent findings from in vivo neuroimaging studies analysing DS and AD via ligand-based positron emission tomography (PET), [18F] fluorodeoxyglucose (FDG)-PET, structural magnetic resonance imaging (sMRI), and diffusion tensor imaging (DTI). Electroencephalography (EEG) and retinal imaging are also discussed as emerging modalities. The review is organized by neuroimaging method and assesses the relationship between cognitive decline and neuroimaging changes. We find that amyloid accumulation seen on PET occurs prior to dementia onset, possibly as a precursor to the atrophy and white matter changes seen in MRI studies. Future PET studies relating tau distribution to clinical symptoms will provide further insight into the role this protein plays in dementia development. Brain activity changes demonstrated by EEG and metabolic changes seen via FDG-PET may also follow predictable patterns that can help track dementia progression. Finally, newer approaches such as retinal imaging will hopefully overcome some of the limitations of neuroimaging and allow for detection of dementia at an earlier stage. We review recent neuroimaging findings in the field of Down syndrome and Alzheimer's disease. Review is organized by neuroimaging methodology. Correlation between cognitive decline and imaging findings is considered. Neuroimaging is a useful tool for studying and monitoring Alzheimer's disease in the Down syndrome population.
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Key Words
- AD, Alzheimer's disease
- APP, amyloid precursor protein
- Aβ, amyloid beta
- Biomarkers
- DS, Down syndrome
- DTI, diffusion tensor imaging
- Dementia
- Diffusion tensor imaging (DTI)
- EEG, electroencephalography
- Electroencephalography (EEG)
- FDG, fluordexoyglucose
- Magnetic resonance imaging (MRI)
- NFT, neurofibrillary tangles
- PET, positron emission tomography
- Positron emission tomography (PET)
- sMRI, structural magnetic resonance imaging
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Affiliation(s)
- Natalie Neale
- Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States.
| | - Concepcion Padilla
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, 18B Trumpington Road, Cambridge, England CB2 8AH, United Kingdom
| | - Luciana Mascarenhas Fonseca
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, 18B Trumpington Road, Cambridge, England CB2 8AH, United Kingdom; Old Age Research Group (PROTER), Department of Psychiatry, University of Sao Paulo, Rua da Reitoria, 374, Cidade Universitaria, Sao Paulo 05508-010, Brazil
| | - Tony Holland
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, 18B Trumpington Road, Cambridge, England CB2 8AH, United Kingdom
| | - Shahid Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, 18B Trumpington Road, Cambridge, England CB2 8AH, United Kingdom
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Hartley SL, Handen BL, Devenny D, Mihaila I, Hardison R, Lao PJ, Klunk WE, Bulova P, Johnson SC, Christian BT. Cognitive decline and brain amyloid-β accumulation across 3 years in adults with Down syndrome. Neurobiol Aging 2017; 58:68-76. [PMID: 28715661 DOI: 10.1016/j.neurobiolaging.2017.05.019] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 05/17/2017] [Accepted: 05/24/2017] [Indexed: 10/19/2022]
Abstract
Adults with Down syndrome (DS) have a high incidence of Alzheimer's disease (AD), providing a unique opportunity to explore the early, preclinical stages of AD neuropathology. We examined change in brain amyloid-β accumulation via the positron emission tomography tracer [11C] Pittsburgh compound B (PiB) across 2 data collection cycles, spaced 3 years apart, and decline in cognitive functioning in 58 adults with DS without clinical AD. PiB retention increased in the anterior cingulate gyrus, precuneus cortex, parietal cortex, and anterior ventral striatum. Across the 2 cycles, 14 (27.5%) participants were consistently PiB+, 31 (60.8%) were consistently PiB-, and 6 (11.7%) converted from PiB- at cycle 1 to PiB+ at cycle 2. Increased global amyloid-β was related to decline in verbal episodic memory, visual episodic memory, executive functioning, and fine motor processing speed. Participants who were consistently PiB+ demonstrated worsening of episodic memory, whereas participants who were consistently PiB- evidenced stable or improved performance. Amyloid-β accumulation may be a contributor to or biomarker of declining cognitive functioning in preclinical AD in DS.
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Affiliation(s)
- Sigan L Hartley
- Department of Human Development & Family Studies, University of Wisconsin, Madison, WI, USA; University of Wisconsin-Madison, Waisman Center, Madison, WI, USA.
| | - Benjamin L Handen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Darlynne Devenny
- New York State Institute for Basic Research in Developmental Disabilities, Albany, NY, USA
| | - Iulia Mihaila
- Department of Human Development & Family Studies, University of Wisconsin, Madison, WI, USA; University of Wisconsin-Madison, Waisman Center, Madison, WI, USA
| | - Regina Hardison
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Patrick J Lao
- University of Wisconsin-Madison, Waisman Center, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - William E Klunk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peter Bulova
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sterling C Johnson
- Department of Medicine, University of Wisconsin, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Bradley T Christian
- University of Wisconsin-Madison, Waisman Center, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
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