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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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Garic D, Al-Ali KW, Nasir A, Azrak O, Grzadzinski RL, McKinstry RC, Wolff JJ, Lee CM, Pandey J, Schultz RT, St John T, Dager SR, Estes AM, Gerig G, Zwaigenbaum L, Marrus N, Botteron KN, Piven J, Styner M, Hazlett HC, Shen MD. White matter microstructure in school-age children with down syndrome. Dev Cogn Neurosci 2025; 73:101540. [PMID: 40043413 PMCID: PMC11928993 DOI: 10.1016/j.dcn.2025.101540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Revised: 02/07/2025] [Accepted: 02/17/2025] [Indexed: 03/25/2025] Open
Abstract
Down syndrome (DS) is the most common genetic cause of intellectual disability, but our understanding of white matter microstructure in children with DS remains limited. Previous studies have reported reductions in white matter integrity, but nearly all studies to date have been conducted in adults or relied solely on diffusion tensor imaging (DTI), which lacks the ability to disentangle underlying properties of white matter organization. This study examined white matter microstructural differences in 7- to 12-year-old children with DS (n = 23), autism (n = 27), and typical development (n = 50) using DTI as well as High Angular Resolution Diffusion Imaging, and Neurite Orientation and Dispersion Imaging. There was a spatially specific pattern of results that showed a dissociation between intra- and inter-hemispheric pathways. Intra-hemispheric pathways (e.g., inferior fronto-occipital fasciculus, superior longitudinal fasciculus) exhibited reduced organization and structural integrity. Inter-hemispheric pathways (e.g., corpus callosum projections) and motor pathways (e.g., corticospinal tract) showed denser neurite packing and lower neurite dispersion. The current findings provide early insight into white matter development in school-aged children with DS and have the potential to further elucidate microstructural differences and inform more targeted clinical trials than what has previously been observed through DTI models alone.
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Affiliation(s)
- Dea Garic
- Carolina Institute for Developmental Disabilities, 101 Renee Lynne Ct, Carrboro, NC 27510, USA; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, 101 Manning Dr #1, Chapel Hill, NC 27514, USA.
| | - Khalid W Al-Ali
- Department of Psychiatry, Indiana University School of Medicine, N Senate Ave, Indianapolis, IN 46202, USA.
| | - Aleeshah Nasir
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, 101 Manning Dr #1, Chapel Hill, NC 27514, USA.
| | - Omar Azrak
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, 101 Manning Dr #1, Chapel Hill, NC 27514, USA.
| | - Rebecca L Grzadzinski
- Carolina Institute for Developmental Disabilities, 101 Renee Lynne Ct, Carrboro, NC 27510, USA; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, 101 Manning Dr #1, Chapel Hill, NC 27514, USA.
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kings Highway Blvd, St. Louis, MO 63110, USA.
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota Twin Cities College of Education and Human Development, 250 Education Sciences Bldg, 56 E River Rd, Minneapolis, MN 55455, USA.
| | - Chimei M Lee
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota Twin Cities Medical School, 2025 E. River Parkway 7962A, Minneapolis, MN 55414, USA.
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, 2716 South St #5, Philadelphia, PA 19104, USA.
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, 2716 South St #5, Philadelphia, PA 19104, USA.
| | - Tanya St John
- University of Washington Autism Center, University of Washington, 1701 NE Columbia Rd, Seattle, WA 98195, USA; Department of Speech and Hearing Science, University of Washington, 1417 NE 42nd St, Seattle, WA 98105, USA.
| | - Stephen R Dager
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific St, Seattle, WA 98195, USA.
| | - Annette M Estes
- University of Washington Autism Center, University of Washington, 1701 NE Columbia Rd, Seattle, WA 98195, USA; Department of Speech and Hearing Science, University of Washington, 1417 NE 42nd St, Seattle, WA 98105, USA.
| | - Guido Gerig
- Department of Computer Science and Engineering, New York University, 251 Mercer Street, Room 305, New York, NY 10012, USA.
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, 11405-87 Avenue, Edmonton, Alberta, Canada.
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine in St. Louis, 660 S Euclid Ave, St. Louis, MO 63110, USA.
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine in St. Louis, 660 S Euclid Ave, St. Louis, MO 63110, USA.
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, 101 Renee Lynne Ct, Carrboro, NC 27510, USA; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, 101 Manning Dr #1, Chapel Hill, NC 27514, USA.
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, 101 Manning Dr #1, Chapel Hill, NC 27514, USA.
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, 101 Renee Lynne Ct, Carrboro, NC 27510, USA; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, 101 Manning Dr #1, Chapel Hill, NC 27514, USA.
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, 101 Renee Lynne Ct, Carrboro, NC 27510, USA; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, 101 Manning Dr #1, Chapel Hill, NC 27514, USA.
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Azrak O, Garic D, Nasir A, Swanson MR, Grzadzinski RL, Al-Ali K, Shen MD, Girault JB, St John T, Pandey J, Zwaigenbaum L, Estes AM, Wolff JJ, Dager SR, Schultz RT, Evans AC, Elison JT, Yacoub E, Kim SH, McKinstry RC, Gerig G, Pruett JR, Piven J, Botteron KN, Hazlett H, Marrus N, Styner MA. Early White Matter Microstructure Alterations in Infants with Down Syndrome. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.02.26.25322913. [PMID: 40061339 PMCID: PMC11888504 DOI: 10.1101/2025.02.26.25322913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/18/2025]
Abstract
Importance Down syndrome, resulting from trisomy 21, is the most prevalent chromosomal disorder and a leading cause of intellectual disability. Despite its significant impact on brain development, research on the white matter microstructure in infants with Down syndrome remains limited. Objective To investigate early white matter microstructure in infants with Down syndrome using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Design Infants were recruited and scanned between March 2019 and May 2024 as participants in prospective studies conducted by the Infant Brain Imaging Study (IBIS) Network. Data were analyzed in October 2024. Setting Data collection occurred at five research centers in Minnesota, Missouri, North Carolina, Pennsylvania, and Washington. Participants Down syndrome and control infants were scanned at 6 months of age. Control infants had no Down syndrome diagnosis and either had a typically developing older sibling or, if they had an older sibling with autism, were confirmed not to meet clinical best estimate criteria for an autism diagnosis. Exposure Diagnosis of Down syndrome. Main Outcomes and Measures The outcome of interest was white matter microstructure quantified using DTI and NODDI measures. Results A total of 49 Down syndrome (28 [57.14%] female) and 37 control (18 [48.65%] female) infants were included. Infants with Down syndrome showed significant reductions in fractional anisotropy and neurite density index across multiple association tracts, particularly in the inferior fronto-occipital fasciculus and superior longitudinal fasciculus II, consistent with reduced structural integrity and neurite density. These tracts also demonstrated increased radial diffusivity, suggesting delayed myelination. The inferior fronto-occipital fasciculus and uncinate fasciculus exhibited increased neurite dispersion and fanning in Down syndrome infants, reflected by elevated orientation dispersion index. Notably, the optic tracts in Down syndrome infants exhibited a distinct pattern of elevated fractional anisotropy and axial diffusivity, and lower radial diffusivity and orientation dispersion index, suggesting an early maturation of these pathways. Conclusions and Relevance This first characterization of white matter microstructure in Down syndrome infants reveals widespread white matter developmental delays. These findings provide new insights into the early neurodevelopment of Down syndrome and may inform early therapeutic interventions.
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Affiliation(s)
- Omar Azrak
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Dea Garic
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Aleeshah Nasir
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Meghan R Swanson
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Rebecca L Grzadzinski
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Khalid Al-Ali
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Mark D Shen
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Tanya St John
- University of Washington Autism Center, University of Washington, Seattle, WA, USA
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Lonnie Zwaigenbaum
- Autism Research Centre, Department of Pediatrics, University of Alberta, Edmonton, Canada
| | - Annette M Estes
- University of Washington Autism Center, University of Washington, Seattle, WA, USA
| | - Jason J Wolff
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Stephen R Dager
- Center on Human Development and Disability, University of Washington, Seattle, WA, USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Alan C Evans
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Essa Yacoub
- Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Sun Hyung Kim
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, US
| | - Guido Gerig
- Tandon School of Engineering, New York University, New York, NY, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Heather Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
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Grzadzinski R, Mata K, Bhatt AS, Jatkar A, Garic D, Shen MD, Girault JB, St John T, Pandey J, Zwaigenbaum L, Estes A, Shen AM, Dager S, Schultz R, Botteron K, Marrus N, Styner M, Evans A, Kim SH, McKinstry R, Gerig G, Piven J, Hazlett H. Brain volumes, cognitive, and adaptive skills in school-age children with Down syndrome. J Neurodev Disord 2024; 16:70. [PMID: 39701965 PMCID: PMC11660842 DOI: 10.1186/s11689-024-09581-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 11/06/2024] [Indexed: 12/21/2024] Open
Abstract
BACKGROUND Down syndrome (DS) is the most common congenital neurodevelopmental disorder, present in about 1 in every 700 live births. Despite its prevalence, literature exploring the neurobiology underlying DS and how this neurobiology is related to behavior is limited. This study fills this gap by examining cortical volumes and behavioral correlates in school-age children with DS. METHODS School-age children (mean = 9.7 years ± 1.1) underwent comprehensive assessments, including cognitive and adaptive assessments, as well as an MRI scan without the use of sedation. Children with DS (n = 35) were compared to available samples of typically developing (TD; n = 80) and ASD children (n = 29). ANOVAs were conducted to compare groups on cognitive and adaptive assessments. ANCOVAs (covarying for age, sex, and total cerebral volume; TCV) compared cortical brain volumes between groups. Correlations between behavioral metrics and cortical and cerebellar volumes (separately for gray (GM) and white matter (WM)) were conducted separately by group. RESULTS As expected, children with DS had significantly lower cognitive skills compared to ASD and TD children. Daily Living adaptive skills were comparable between ASD children and children with DS, and both groups scored lower than TD children. Children with DS exhibited a smaller TCV compared to ASD and TD children. Additionally, when controlling for TCV, age, and sex, children with DS had significantly smaller total GM and tissue volumes. Cerebellum volumes were significantly correlated with Daily Living adaptive behaviors in the DS group only. CONCLUSIONS Despite children with DS exhibiting lower cognitive skills and smaller brain volume overall than children with ASD, their deficits in Socialization and Daily Living adaptive skills are comparable. Differences in lobar volumes (e.g., Right Frontal GM/WM, Left Frontal WM, and Left and Right Temporal WM) were observed above and beyond overall differences in total volume. The correlation between cerebellum volumes and Daily Living adaptive behaviors in the DS group provides a novel area to explore in future research.
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Affiliation(s)
- Rebecca Grzadzinski
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, 101, Renee Lynne Court, Carrboro, NC, 27510, USA.
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Kattia Mata
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, 101, Renee Lynne Court, Carrboro, NC, 27510, USA
| | - Ambika S Bhatt
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, 101, Renee Lynne Court, Carrboro, NC, 27510, USA
| | | | - Dea Garic
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, 101, Renee Lynne Court, Carrboro, NC, 27510, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, 101, Renee Lynne Court, Carrboro, NC, 27510, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, 101, Renee Lynne Court, Carrboro, NC, 27510, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tanya St John
- University of Washington Autism Research Center, Seattle, WA, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Juhi Pandey
- Center for Autism Research at the Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Lonnie Zwaigenbaum
- Autism Research Centre, Department of Pediatrics, University of Alberta, Edmonton, Canada
| | - Annette Estes
- University of Washington Autism Research Center, Seattle, WA, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | | | - Stephen Dager
- Center On Human Development and Disability, University of Washington, Seattle, WA, USA
| | - Robert Schultz
- Center for Autism Research at the Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kelly Botteron
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Natasha Marrus
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alan Evans
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Sun Hyung Kim
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Robert McKinstry
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Guido Gerig
- Department of Computer Science and Engineering, New York University, New York, NY, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, 101, Renee Lynne Court, Carrboro, NC, 27510, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Heather Hazlett
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, 101, Renee Lynne Court, Carrboro, NC, 27510, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Rosas HD, Mercaldo ND, Hasimoglu Y, Petersen M, Lewis LR, Lai F, Powell D, Dhungana A, Demir A, Keater D, Yassa M, Brickman AM, O'Bryant S. Association of plasma neurofilament light chain with microstructural white matter changes in Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e70023. [PMID: 39583646 PMCID: PMC11582681 DOI: 10.1002/dad2.70023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 09/10/2024] [Accepted: 09/13/2024] [Indexed: 11/26/2024]
Abstract
INTRODUCTION Both micro- and macrostructural white matter (WM) abnormalities, particularly those related to axonal degeneration, are associated with cognitive decline in adults with Down syndrome (DS) prior to a diagnosis of Alzheimer disease. Neurofilament light chain (NfL) is a support protein within myelinated axons released into blood following axonal damage. In this study we investigated cross-sectional relationships between WM microstructural changes as measured by diffusion tensor imaging (DTI) and plasma NfL concentration in adults with DS without dementia. METHODS Thirty cognitively stable (CS) adults with DS underwent diffusion-weighted MRI scanning and plasma NfL measurement. DTI measures of select WM tracts were derived using automatic fiber tracking, and associations with plasma NfL were assessed using Spearman correlation coefficients. RESULTS Higher Plasma NfL was associated with greater altered diffusion measures of select tracts. DISCUSSION Early increases in plasma NfL may reflect early white matter microstructural changes prior to dementia in DS. Highlights The onset of such WM changes in DS has not yet been widely studied.WM microstructural properties correlated with plasma neurofilament light chain (NfL).NfL may reflect early, selective WM changes in adults with DS at high risk of developing AD.
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Affiliation(s)
- Herminia Diana Rosas
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Center for Neuroimaging of Aging and Neurodegenerative DiseasesMassachusetts General HospitalCharlestownMassachusettsUSA
| | - Nathaniel David Mercaldo
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Center for Neuroimaging of Aging and Neurodegenerative DiseasesMassachusetts General HospitalCharlestownMassachusettsUSA
| | - Yasemin Hasimoglu
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Center for Neuroimaging of Aging and Neurodegenerative DiseasesMassachusetts General HospitalCharlestownMassachusettsUSA
| | - Melissa Petersen
- Department of Family MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Lydia R. Lewis
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Center for Neuroimaging of Aging and Neurodegenerative DiseasesMassachusetts General HospitalCharlestownMassachusettsUSA
| | - Florence Lai
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - David Powell
- Magnetic Resonance Imaging and Spectroscopy CenterUniversity of KentuckyLexingtonKentuckyUSA
| | - Asim Dhungana
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Center for Neuroimaging of Aging and Neurodegenerative DiseasesMassachusetts General HospitalCharlestownMassachusettsUSA
| | - Ali Demir
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Center for Neuroimaging of Aging and Neurodegenerative DiseasesMassachusetts General HospitalCharlestownMassachusettsUSA
| | - David Keater
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Michael Yassa
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer's disease and the Aging Brain Department of NeurologyVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUSA
| | - Sid O'Bryant
- Department of Family MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
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Sánchez‐Moreno B, Zhang L, Mateo G, Moldenhauer F, Brudfors M, Ashburner J, Nachev P, de Asúa DR, Strange BA. Voxel-based dysconnectomic brain morphometry with computed tomography in Down syndrome. Ann Clin Transl Neurol 2024; 11:143-155. [PMID: 38158639 PMCID: PMC10791030 DOI: 10.1002/acn3.51940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 09/23/2023] [Accepted: 10/20/2023] [Indexed: 01/03/2024] Open
Abstract
OBJECTIVE Alzheimer's disease (AD) is a major health concern for aging adults with Down syndrome (DS), but conventional diagnostic techniques are less reliable in those with severe baseline disability. Likewise, acquisition of magnetic resonance imaging to evaluate cerebral atrophy is not straightforward, as prolonged scanning times are less tolerated in this population. Computed tomography (CT) scans can be obtained faster, but poor contrast resolution limits its function for morphometric analysis. We implemented an automated analysis of CT scans to characterize differences across dementia stages in a cross-sectional study of an adult DS cohort. METHODS CT scans of 98 individuals were analyzed using an automatic algorithm. Voxel-based correlations with clinical dementia stages and AD plasma biomarkers (phosphorylated tau-181 and neurofilament light chain) were identified, and their dysconnectomic patterns delineated. RESULTS Dementia severity was negatively correlated with gray (GM) and white matter (WM) volumes in temporal lobe regions, including parahippocampal gyri. Dysconnectome analysis revealed an association between WM loss and temporal lobe GM volume reduction. AD biomarkers were negatively associated with GM volume in hippocampal and cingulate gyri. INTERPRETATION Our automated algorithm and novel dysconnectomic analysis of CT scans successfully described brain morphometric differences related to AD in adults with DS, providing a new avenue for neuroimaging analysis in populations for whom magnetic resonance imaging is difficult to obtain.
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Affiliation(s)
- Beatriz Sánchez‐Moreno
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Linda Zhang
- Alzheimer Disease Research UnitCIEN Foundation, Queen Sofia Foundation Alzheimer CentreMadridSpain
| | - Gloria Mateo
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Fernando Moldenhauer
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Mikael Brudfors
- Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUK
| | - John Ashburner
- Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUK
| | - Parashkev Nachev
- High‐Dimensional Neurology GroupUniversity College London Queen Square Institute of NeurologyLondonUK
| | - Diego Real de Asúa
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Bryan A. Strange
- Alzheimer Disease Research UnitCIEN Foundation, Queen Sofia Foundation Alzheimer CentreMadridSpain
- Laboratory for Clinical NeuroscienceCTB, Universidad Politécnica de MadridMadridSpain
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7
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Conceição ASGG, Sant Ana LFG, Mattar GP, de Fátima R Silva M, Ramos AR, Oliveira AM, Carvalho CL, Gonçalves OR, Varotto BLR, Martinez LD, Leduc V, Fonseca LM, Forlenza OV. Balance and Gait: Associations With Cognitive Impairment and Dementia in Individuals With Down Syndrome. Alzheimer Dis Assoc Disord 2023; 37:349-356. [PMID: 37788381 DOI: 10.1097/wad.0000000000000580] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 08/14/2023] [Indexed: 10/05/2023]
Abstract
BACKGROUND Atypical aging in Down syndrome (DS) is associated with neuropathological characteristics consistent with Alzheimer disease. Gait abnormalities have been shown to be associated with an increased risk of dementia for the general population. The aim of this study was to determine whether gait disorders are associated with worse cognitive performance and dementia in adults with DS. METHODS We evaluated 66 individuals with DS (≥20 y of age), divided into 3 groups: stable cognition, prodromal dementia, and dementia (presumed Alzheimer disease). Each individual was evaluated with the Performance-Oriented Mobility Assessment (POMA), Timed Up and Go test, and Cambridge Examination for Mental Disorders of Older People with Down's Syndrome and Others with Intellectual Disabilities (CAMDEX-DS), in addition to a comprehensive clinical protocol to ascertain the occurrence of medical or psychiatric comorbidities. RESULTS The score on the POMA-Gait subscale score and body mass index were found to be independent predictors of prodromal dementia and dementia ( P <0.001 for both). With the exception of perception, all cognitive domains correlated with the POMA-Total score ( P <0.05). CONCLUSION A lower POMA-Gait score increases the chance of prodromal dementia and dementia in adults with DS. Unlike other research, in this study higher body mass index was also found to increase the chance of prodromal dementia and dementia. In those individuals, applying the POMA could facilitate the early diagnosis of dementia, help identify fall risks, and promote the adoption of geriatric interventions focused on improving functional mobility.
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Affiliation(s)
| | - Lívea F G Sant Ana
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry
| | - Guilherme P Mattar
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry
| | - Maria de Fátima R Silva
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry
- Old Age Research Group, Department and Institute of Psychiatry
| | - Andressa R Ramos
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry
| | | | - Claudia L Carvalho
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry
| | | | - Bruna L R Varotto
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry
| | - Luana D Martinez
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry
| | - Vinícius Leduc
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry
| | - Luciana M Fonseca
- Dental Team, Instituto de Psiquiatria do, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo HCFMUSP, São Paulo, Brazil
- Department of Community and Behavioral Health, Washington State University, Pullman, WA
| | - Orestes V Forlenza
- Laboratory of Neuroscience (LIM-27), Department and Institute of Psychiatry
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8
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Saini F, Masina F, Wells J, Rosch R, Hamburg S, Startin C, Strydom A. The mismatch negativity as an index of cognitive abilities in adults with Down syndrome. Cereb Cortex 2023; 33:9639-9651. [PMID: 37401006 PMCID: PMC10431748 DOI: 10.1093/cercor/bhad233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 06/09/2023] [Accepted: 06/10/2023] [Indexed: 07/05/2023] Open
Abstract
Down syndrome (DS) is associated with an ultra-high risk of developing Alzheimer's disease (AD). Understanding variability in pre-AD cognitive abilities may help understand cognitive decline in this population. The mismatch negativity (MMN) is an event-related potential component reflecting the detection of deviant stimuli that is thought to represent underlying memory processes, with reduced MMN amplitudes being associated with cognitive decline. To further understand the MMN in adults with DS without AD, we explored the relationships between MMN, age, and cognitive abilities (memory, language, and attention) in 27 individuals (aged 17-51) using a passive auditory oddball task. Statistically significant MMN was present only in 18 individuals up to 41 years of age and the latency were longer than canonical parameters reported in the literature. Reduced MMN amplitude was associated with lower memory scores, while longer MMN latencies were associated with poorer memory, verbal abilities, and attention. Therefore, the MMN may represent a valuable index of cognitive abilities in DS. In combination with previous findings, we hypothesize that while MMN response and amplitude may be associated with AD-related memory loss, MMN latency may be associated with speech signal processing. Future studies may explore the potential impact of AD on MMN in people with DS.
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Affiliation(s)
- Fedal Saini
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AB, UK
| | - Fabio Masina
- IRCCS San Camillo Hospital, Via Alberoni, 70, 30126 Lido VE, Italy
| | - Jasmine Wells
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AB, UK
| | - Richard Rosch
- Department of Clinical Neurophysiology, King’s College Hospital NHS Foundation Trust, Golden Jubilee, Denmark Hill, London SE5 9RS, UK
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, Queen Square, London WC1N 3AR, UK
| | - Sarah Hamburg
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AB, UK
- Division of Psychiatry, University College London, Maple House, 149 Tottenham Ct Rd, London W1T 7BN, UK
| | - Carla Startin
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AB, UK
- Division of Psychiatry, University College London, Maple House, 149 Tottenham Ct Rd, London W1T 7BN, UK
- School of Psychology, University of Roehampton, Grove House, Roehampton Lane, London, SW15 5PJ, UK
| | - André Strydom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AB, UK
- Division of Psychiatry, University College London, Maple House, 149 Tottenham Ct Rd, London W1T 7BN, UK
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9
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Nadeau PA, Jobin B, Boller B. Diagnostic Sensitivity and Specificity of Cognitive Tests for Mild Cognitive Impairment and Alzheimer's Disease in Patients with Down Syndrome: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2023; 95:13-51. [PMID: 37522203 DOI: 10.3233/jad-220991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
BACKGROUND Improved health care for people with Down syndrome (DS) has resulted in an increase in their life expectancy therefore increasing comorbidities associated with age-related problems in this population, the most frequent being Alzheimer's disease (AD). To date, several cognitive tests have been developed to evaluate cognitive changes related to the development of mild cognitive impairment (MCI) and AD in people with DS. OBJECTIVE Identify and evaluate available cognitive tests for the diagnosis of MCI and AD in people with DS. METHODS A systematic search of the Pubmed and PsycInfo databases was performed to identify articles published from January 1, 2000 and July 1, 2022. Keysearch terms were DS, AD or MCI, cognition, and assessment. Relevant studies assessing the diagnostic accuracy of cognitive tests for AD or MCI with standard clinical evaluation were extracted. Risk of bias was assessed using the QUADAS 2. RESULTS We identified 15 batteries, 2 intelligence scales, 14 memory tests, 11 executive, functioning tests, 11 motor and visuospatial functioning tests, 5 language tests, 3 attention tests, and 2 orientation tests. Analysis showed that the CAMCOG-DS present a fair to excellent diagnostic accuracy for detecting AD in patients with DS. However, for the diagnosis of MCI, this battery showed poor to good diagnostic accuracy. CONCLUSION The findings highlight important limitations of the current assessment available for the screening of mild cognitive impairment and AD in patients with DS and support the need for more clinical trials to ensure better screening for this highly at-risk population.
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Affiliation(s)
| | - Benoît Jobin
- Université du Québec à Trois-Rivière, Quebec, Canada
| | - Benjamin Boller
- Univerisité de Montréal, Quebec, Canada
- Université du Québec à Trois-Rivière, Quebec, Canada
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10
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Cañete-Massé C, Carbó-Carreté M, Peró-Cebollero M, Cui SX, Yan CG, Guàrdia-Olmos J. Abnormal degree centrality and functional connectivity in Down syndrome: A resting-state fMRI study. Int J Clin Health Psychol 2023; 23:100341. [PMID: 36262644 PMCID: PMC9551068 DOI: 10.1016/j.ijchp.2022.100341] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/10/2022] [Indexed: 11/05/2022] Open
Abstract
Background/Objective Neuroimaging studies have shown brain abnormalities in Down syndrome (DS) but have not clarified the underlying mechanisms of dysfunction. Here, we investigated the degree centrality (DC) abnormalities found in the DS group compared with the control group, and we conducted seed-based functional connectivity (FC) with the significant clusters found in DC. Moreover, we used the significant clusters of DC and the seed-based FC to elucidate differences between brain networks in DS compared with controls. Method The sample comprised 18 persons with DS (M = 28.67, SD = 4.18) and 18 controls (M = 28.56, SD = 4.26). Both samples underwent resting-state functional magnetic resonance imaging. Results DC analysis showed increased DC in the DS in temporal and right frontal lobe, as well as in the left caudate and rectus and decreased DC in the DS in regions of the left frontal lobe. Regarding seed-based FC, DS showed increased and decreased FC. Significant differences were also found between networks using Yeo parcellations, showing both hyperconnectivity and hypoconnectivity between and within networks. Conclusions DC, seed-based FC and brain networks seem altered in DS, finding hypo- and hyperconnectivity depending on the areas. Network analysis revealed between- and within-network differences, and these abnormalities shown in DS could be related to the characteristics of the population.
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Affiliation(s)
- Cristina Cañete-Massé
- Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona, Spain,UB Institute of Complex Systems, Universitat de Barcelona, Barcelona, Spain,Corresponding author at: Campus de Mundet, Universitat de Barcelona, Passeig de la Vall d'Hebron, 171, 08035 Barcelona, Spain.
| | - Maria Carbó-Carreté
- Serra Hunter Fellow, Department of Cognition, Development and Educational Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona, Spain,Institute of Neuroscience, Universitat de Barcelona, Barcelona, Spain
| | - Maribel Peró-Cebollero
- Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona, Spain,UB Institute of Complex Systems, Universitat de Barcelona, Barcelona, Spain,Institute of Neuroscience, Universitat de Barcelona, Barcelona, Spain
| | - Shi-Xian Cui
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China,International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, China,Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China,Sino-Danish College, Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China,International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, China,Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China,Sino-Danish College, Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing, China
| | - Joan Guàrdia-Olmos
- Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona, Spain,UB Institute of Complex Systems, Universitat de Barcelona, Barcelona, Spain,Institute of Neuroscience, Universitat de Barcelona, Barcelona, Spain
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11
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Souza LDP, Bermudez BB, Bufara DC, Crippa ACDS. A Retrospective Cohort Study of Combined Therapy in West Syndrome associated with Trisomy 21. Child Neurol Open 2022; 9:2329048X221132639. [PMID: 36263394 PMCID: PMC9575436 DOI: 10.1177/2329048x221132639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 11/19/2022] Open
Abstract
Background: West syndrome (WS) is a frequent epileptic encephalopathy associated with Down syndrome (DS). This study evaluated an outpatient protocol for WS in patients with DS who received vigabatrin (VGB) or VGB plus adrenocorticotrophic hormone. Methods: We analyzed infants treated in two neuropediatric centers from 2001-2021. We reviewed perinatal and familial history of epilepsy, spasm onset, treatment lag, electroencephalogram, neuroimaging, progression to epilepsy, and other neurological conditions. The outcomes were electroclinical resolution (ECR), relapses, and epilepsy progression. Results: Nineteen infants were included; 57.8% were male. The average spasm onset, follow-up, and treatment lag were 6.4 months, 8.15 years, and 2.33 months, respectively. Almost 74% had ECR after protocol intervention and minor epilepsy progression. Relapses occurred during combined therapy. Conclusions: The treatment protocol, especially combined therapy, was effective for WS in DS, impacting epilepsy progression and indicating the effectiveness of combined therapy to treat WS in patients with trisomy 21.
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Affiliation(s)
- Luciana de Paula Souza
- Paraná Federal University, Curitiba, PR, Brazil,Luciana de Paula Souza, Paraná Federal
University, Rua Quintino Bocaiuva, No. 325, Cabral 80060-900, Curitiba, Paraná,
Brazil.
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12
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Altered spontaneous brain activity in Down syndrome and its relation with cognitive outcome. Sci Rep 2022; 12:15410. [PMID: 36104362 PMCID: PMC9474876 DOI: 10.1038/s41598-022-19627-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 08/31/2022] [Indexed: 11/09/2022] Open
Abstract
AbstractAlthough Down syndrome (DS) is the most common genetic cause of neurodevelopmental delay, few neuroimaging studies have explored this population. This investigation aimed to study whole-brain resting-state spontaneous brain activity using fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) strategies to find differences in spontaneous brain activity among young people with DS and controls and to correlate these results with cognitive outcomes. The sample comprised 18 persons with DS (age mean = 28.67, standard deviation = 4.18) and 18 controls (age mean = 28.56, standard deviation = 4.26). fALFF and ReHo analyses were performed, and the results were correlated with other cognitive variables also collected (KBIT-2 and verbal fluency test). Increased activity was found in DS using fALFF in areas involving the frontal and temporal lobes and left cerebellum anterior lobe. Decreased activity in DS was found in the left parietal and occipital lobe, the left limbic lobe and the left cerebellum posterior lobe. ReHo analysis showed increased activity in certain DS areas of the left frontal lobe and left rectus, as well as the inferior temporal lobe. The areas with decreased activity in the DS participants were regions of the frontal lobe and the right limbic lobe. Altered fALFF and ReHo were found in the DS population, and this alteration could predict the cognitive abilities of the participants. To our knowledge, this is the first study to explore regional spontaneous brain activity in a population with DS. Moreover, this study suggests the possibility of using fALFF and ReHo as biomarkers of cognitive function, which is highly important given the difficulties in cognitively evaluating this population to assess dementia. More research is needed, however, to demonstrate its utility.
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13
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Saini F, Dell’Acqua F, Strydom A. Structural Connectivity in Down Syndrome and Alzheimer's Disease. Front Neurosci 2022; 16:908413. [PMID: 35937882 PMCID: PMC9354601 DOI: 10.3389/fnins.2022.908413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/21/2022] [Indexed: 12/02/2022] Open
Abstract
Down syndrome (DS) arises from the triplication of chromosome 21, which leads to an atypical neurodevelopment and the overproduction of the amyloid precursor protein, predisposing to early Alzheimer's disease (AD). Not surprisingly, trisomy 21 is widely considered a model to study predementia stages of AD. After decades, in which neural loss was the main focus, research in AD is now moving toward understanding the neurodegenerative aspects affecting white matter. Motivated by the development of magnetic resonance imaging (MRI)-based diffusion techniques, this shift in focus has led to several exploratory studies on both young and older individuals with DS. In this review, we synthesise the initial efforts made by researchers in characterising in-vivo structural connectivity in DS, together with the AD footprint on top of such pre-existing connectivity related to atypical brain development. The white matter structures found to be affected in DS are the corpus callosum and all the main long-association fibres, namely the inferior fronto-occipital fasciculus, the inferior and superior longitudinal fasciculus, the uncinate fasciculus and the cingulum bundle. Furthermore, the cingulum bundle and the corpus callosum appear to be particularly sensitive to early AD changes in this population. Findings are discussed in terms of their functional significance, alongside methodological considerations and implications for future research.
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Affiliation(s)
- Fedal Saini
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Flavio Dell’Acqua
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
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14
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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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15
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Brown SS, Mak E, Clare I, Grigorova M, Beresford-Webb J, Walpert M, Jones E, Hong YT, Fryer TD, Coles JP, Aigbirhio FI, Tudorascu D, Cohen A, Christian BT, Handen BL, Klunk WE, Menon DK, Nestor PJ, Holland AJ, Zaman SH. Support vector machine learning and diffusion-derived structural networks predict amyloid quantity and cognition in adults with Down's syndrome. Neurobiol Aging 2022; 115:112-121. [PMID: 35418341 DOI: 10.1016/j.neurobiolaging.2022.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 02/23/2022] [Accepted: 02/24/2022] [Indexed: 10/18/2022]
Abstract
Down's syndrome results from trisomy of chromosome 21, a genetic change which also confers a probable 100% risk for the development of Alzheimer's disease neuropathology (amyloid plaque and neurofibrillary tangle formation) in later life. We aimed to assess the effectiveness of diffusion-weighted imaging and connectomic modelling for predicting brain amyloid plaque burden, baseline cognition and longitudinal cognitive change using support vector regression. Ninety-five participants with Down's syndrome successfully completed a full Pittsburgh Compound B (PiB) PET-MR protocol and memory assessment at two timepoints. Our findings indicate that graph theory metrics of node degree and strength based on the structural connectome are effective predictors of global amyloid deposition. We also show that connection density of the structural network at baseline is a promising predictor of current cognitive performance. Directionality of effects were mainly significant reductions in the white matter connectivity in relation to both PiB+ status and greater rate of cognitive decline. Taken together, these results demonstrate the integral role of the white matter during neuropathological progression and the utility of machine learning methodology for non-invasively evaluating Alzheimer's disease prognosis.
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16
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Harp J, Koehl L, Van Pelt K, Head E, Jicha G, Robertson W, Lightner D, Lott I, Schmitt F. Primitive Reflexes and Dementia in Adults With Down Syndrome. Neurol Clin Pract 2022; 12:6-13. [PMID: 36157622 PMCID: PMC9491499 DOI: 10.1212/cpj.0000000000001135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 09/01/2021] [Indexed: 02/03/2023]
Abstract
Background and Objectives To determine whether primitive reflexes serve as an indicator of dementia in adults with Down syndrome (DS), we collected neurologic examination data, cognitive and behavioral assessments, and clinical consensus diagnoses of dementia from 92 adults with DS. Methods In a cross-sectional, observational study of a regional cohort, χ2 and Fisher exact tests examined individual reflexes across the diagnostic group (no, possible, or probable dementia). In 64 participants with all 8 reflexes assessed, the number of primitive reflexes was assessed as a predictor of diagnosis using age-controlled multinomial logistic regression and of performance on clinical assessments (Brief Praxis Test [BPT], Severe Impairment Battery [SIB], and the Dementia Questionnaire for People with Learning Disabilities [DLD]) using age-adjusted linear regression. Results Primitive palmomental, grasp, snout, and suck reflexes were more frequent in individuals with probable dementia, but all participants showed at least 1 primitive reflex. Multiple primitive reflexes in combination served as a better indicator of dementia, with each additional abnormal reflex tripling probability of the probable dementia group membership controlling for age. Abnormal reflex count was not associated with direct assessment of cognition and praxis (SIB and BPT) but associated with informant ratings of cognitive and behavioral functioning (DLD). Discussion The presence of multiple reflexes serves as an indicator of dementia status in DS as a supplement to direct assessment of cognition and praxis. The reflex examination may serve as a tool in the multimethod evaluation for dementia in DS, as it appears unaffected by intellectual disability and language mastery.
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Bazydlo AM, Zammit MD, Wu M, Lao PJ, Dean DC, Johnson SC, Tudorascu DL, Cohen A, Cody KA, Ances B, Laymon CM, Klunk WE, Zaman S, Handen BL, Hartley SL, Alexander AL, Christian BT. White matter microstructure associations to amyloid burden in adults with Down syndrome. Neuroimage Clin 2021; 33:102908. [PMID: 34902714 PMCID: PMC8672096 DOI: 10.1016/j.nicl.2021.102908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 10/25/2021] [Accepted: 12/03/2021] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Individuals with Down syndrome (DS) are at an increased risk of developing Alzheimer's Disease (AD). One of the early underlying mechanisms in AD pathology is the accumulation of amyloid protein plaques, which are deposited in extracellular gray matter and signify the first stage in the cascade of neurodegenerative events. AD-related neurodegeneration is also evidenced as microstructural changes in white matter. In this work, we explored the correlation of white matter microstructure with amyloid load to assess amyloid-related neurodegeneration in a cohort of adults with DS. METHODS In this study of 96 adults with DS, the relation of white matter microstructure using diffusion tensor imaging (DTI) and amyloid plaque burden using [11C]PiB PET were examined. The amyloid load (AβL) derived from [11C]PiB was used as a global measure of amyloid burden. AβL and DTI measures were compared using tract-based spatial statistics (TBSS) and corrected for imaging site and chronological age. RESULTS TBSS of the DTI maps showed widespread age-by-amyloid interaction with both fractional anisotropy (FA) and mean diffusivity (MD). Further, diffuse negative association of FA and positive association of MD with amyloid were observed. DISCUSSION These findings are consistent with the white matter microstructural changes associated with AD disease progression in late onset AD in non-DS populations.
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Affiliation(s)
- Austin M Bazydlo
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
| | - Matthew D Zammit
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Minjie Wu
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Patrick J Lao
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Douglas C Dean
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Waisman Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Sterling C Johnson
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Dana L Tudorascu
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ann Cohen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Karly A Cody
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Beau Ances
- Washington University, St. Louis, MO, USA
| | - Charles M Laymon
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - William E Klunk
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Shahid Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, University of Cambridge, Cambridge, United Kingdom
| | | | - Sigan L Hartley
- Waisman Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Andrew L Alexander
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Waisman Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Bradley T Christian
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Waisman Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
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Rujeedawa T, Carrillo Félez E, Clare ICH, Fortea J, Strydom A, Rebillat AS, Coppus A, Levin J, Zaman SH. The Clinical and Neuropathological Features of Sporadic (Late-Onset) and Genetic Forms of Alzheimer's Disease. J Clin Med 2021; 10:4582. [PMID: 34640600 PMCID: PMC8509365 DOI: 10.3390/jcm10194582] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/27/2021] [Accepted: 09/28/2021] [Indexed: 12/17/2022] Open
Abstract
The purpose of this review is to compare and highlight the clinical and pathological aspects of genetic versus acquired Alzheimer's disease: Down syndrome-associated Alzheimer's disease in (DSAD) and Autosomal Dominant Alzheimer's disease (ADAD) are compared with the late-onset form of the disease (LOAD). DSAD and ADAD present in a younger population and are more likely to manifest with non-amnestic (such as dysexecutive function features) in the prodromal phase or neurological features (such as seizures and paralysis) especially in ADAD. The very large variety of mutations associated with ADAD explains the wider range of phenotypes. In the LOAD, age-associated comorbidities explain many of the phenotypic differences.
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Affiliation(s)
- Tanzil Rujeedawa
- Cambridge Intellectual & Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge CB2 8PQ, UK; (T.R.); (E.C.F.); (I.C.H.C.)
| | - Eva Carrillo Félez
- Cambridge Intellectual & Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge CB2 8PQ, UK; (T.R.); (E.C.F.); (I.C.H.C.)
| | - Isabel C. H. Clare
- Cambridge Intellectual & Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge CB2 8PQ, UK; (T.R.); (E.C.F.); (I.C.H.C.)
- Cambridgeshire and Peterborough Foundation NHS Trust, Fulbourn CB21 5EF, UK
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain;
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
- Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, 08029 Barcelona, Spain
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK;
- South London and the Maudsley NHS Foundation Trust, The LonDowns Consortium, London SE5 8AZ, UK
| | | | - Antonia Coppus
- Department for Primary and Community Care, Department of Primary and Community Care (149 ELG), Radboud University Nijmegen Medical Center, P.O. Box 9101, 6525 GA Nijmegen, The Netherlands;
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, 80539 Munich, Germany;
- German Center for Neurodegenerative Diseases, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Shahid H. Zaman
- Cambridge Intellectual & Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge CB2 8PQ, UK; (T.R.); (E.C.F.); (I.C.H.C.)
- Cambridgeshire and Peterborough Foundation NHS Trust, Fulbourn CB21 5EF, UK
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19
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Araujo I, Henriksen A, Gamsby J, Gulick D. Impact of Alcohol Abuse on Susceptibility to Rare Neurodegenerative Diseases. Front Mol Biosci 2021; 8:643273. [PMID: 34179073 PMCID: PMC8220155 DOI: 10.3389/fmolb.2021.643273] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 01/14/2021] [Indexed: 12/22/2022] Open
Abstract
Despite the prevalence and well-recognized adverse effects of prenatal alcohol exposure and alcohol use disorder in the causation of numerous diseases, their potential roles in the etiology of neurodegenerative diseases remain poorly characterized. This is especially true of the rare neurodegenerative diseases, for which small population sizes make it difficult to conduct broad studies of specific etiological factors. Nonetheless, alcohol has potent and long-lasting effects on neurodegenerative substrates, at both the cellular and systems levels. This review highlights the general effects of alcohol in the brain that contribute to neurodegeneration across diseases, and then focuses on specific diseases in which alcohol exposure is likely to play a major role. These specific diseases include dementias (alcohol-induced, frontotemporal, and Korsakoff syndrome), ataxias (cerebellar and frontal), and Niemann-Pick disease (primarily a Type B variant and Type C). We conclude that there is ample evidence to support a role of alcohol abuse in the etiology of these diseases, but more work is needed to identify the primary mechanisms of alcohol's effects.
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Affiliation(s)
- Iskra Araujo
- Gulick Laboratory, Byrd Neuroscience Institute, University of South Florida Health, Tampa, FL, United States
| | - Amy Henriksen
- Gulick Laboratory, Byrd Neuroscience Institute, University of South Florida Health, Tampa, FL, United States
| | - Joshua Gamsby
- Gulick Laboratory, Byrd Neuroscience Institute, University of South Florida Health, Tampa, FL, United States
- Department of Molecular Medicine, Morsani College of Medicine, University of South FL, Tampa, FL, United States
| | - Danielle Gulick
- Gulick Laboratory, Byrd Neuroscience Institute, University of South Florida Health, Tampa, FL, United States
- Department of Molecular Medicine, Morsani College of Medicine, University of South FL, Tampa, FL, United States
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20
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Aschenbrenner AJ, Baksh RA, Benejam B, Beresford‐Webb JA, Coppus A, Fortea J, Handen BL, Hartley S, Head E, Jaeger J, Levin J, Loosli SV, Rebillat A, Sacco S, Schmitt FA, Thurlow KE, Zaman S, Hassenstab J, Strydom A. Markers of early changes in cognition across cohorts of adults with Down syndrome at risk of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12184. [PMID: 33969175 PMCID: PMC8088591 DOI: 10.1002/dad2.12184] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/09/2021] [Accepted: 03/09/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Down syndrome (DS), a genetic variant of early onset Alzheimer's disease (AD), lacks a suitable outcome measure for prevention trials targeting pre-dementia stages. METHODS We used cognitive test data collected in several longitudinal aging studies internationally from 312 participants with DS without dementia to identify composites that were sensitive to change over time. We then conducted additional analyses to provide support for the utility of the composites. The composites were presented to an expert panel to determine the most optimal cognitive battery based on predetermined criteria. RESULTS There were common cognitive domains across site composites, which were sensitive to early decline. The final composite consisted of memory, language/executive functioning, selective attention, orientation, and praxis tests. DISCUSSION We have identified a composite that is sensitive to early decline and thus may have utility as an outcome measure in trials to prevent or delay symptoms of AD in DS.
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Affiliation(s)
| | - R. Asaad Baksh
- Institute of Psychiatry, Psychology, and NeuroscienceDepartment of Forensic and Neurodevelopmental SciencesKing's College LondonLondonUK
- The London Down Syndrome (LonDownS) ConsortiumLondonUK
| | - Bessy Benejam
- Barcelona Down Medical CenterFundació Catalana Síndrome de DownBarcelonaSpain
| | - Jessica A. Beresford‐Webb
- Cambridge Intellectual and Developmental Disabilities Research GroupDepartment of PsychiatryUniversity of CambridgeCambridgeUK
| | - Antonia Coppus
- Department of Primary and Community CareRadboud University Medical CenterNijmegenThe Netherlands
| | - Juan Fortea
- Barcelona Down Medical CenterFundació Catalana Síndrome de DownBarcelonaSpain
- Memory Unit and Biomedical Research Institute Sant Pau (IIB Sant Pau)Neurology DepartmentHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED)MadridSpain
| | - Benjamin L. Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Sigan Hartley
- Department of Human Development & Family StudiesUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Elizabeth Head
- Department of Pathology & Laboratory MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Judith Jaeger
- CognitionMetricsLLC.WilmingtonDelawareUSA
- Deptment of Psychiatry and Behavioral SciencesAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Johannes Levin
- Department of NeurologyLudwig‐Maximilians‐Universität MünchenMunichGermany
- German Center for Neurodegenerative DiseasesMunichGermany
- Munich Cluster for Systems Neurology (SyNergy)MunichGermany
| | - Sandra V. Loosli
- Department of NeurologyLudwig‐Maximilians‐Universität MünchenMunichGermany
| | | | | | - Frederick A. Schmitt
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Departments of NeurologyNeurosurgeryBehavioral SciencePsychologyPsychiatryUniversity of KentuckyLexingtonKentuckyUSA
| | - Kate E. Thurlow
- Institute of Psychiatry, Psychology, and NeuroscienceDepartment of Forensic and Neurodevelopmental SciencesKing's College LondonLondonUK
| | - Shahid Zaman
- Cambridge Intellectual and Developmental Disabilities Research GroupDepartment of PsychiatryUniversity of CambridgeCambridgeUK
- Cambridgeshire & Peterborough NHS Foundation TrustCambridgeUK
| | - Jason Hassenstab
- Washington University in St. Louis, Department of NeurologySt. LouisMissouriUSA
| | - Andre Strydom
- Institute of Psychiatry, Psychology, and NeuroscienceDepartment of Forensic and Neurodevelopmental SciencesKing's College LondonLondonUK
- The London Down Syndrome (LonDownS) ConsortiumLondonUK
- South London and the Maudsley NHS Foundation TrustLondonUK
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21
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Bazydlo A, Zammit M, Wu M, Dean D, Johnson S, Tudorascu D, Cohen A, Cody K, Ances B, Laymon C, Klunk W, Zaman S, Handen B, Alexander A, Christian B, Hartley S. White matter microstructure associations with episodic memory in adults with Down syndrome: a tract-based spatial statistics study. J Neurodev Disord 2021; 13:17. [PMID: 33879062 PMCID: PMC8059162 DOI: 10.1186/s11689-021-09366-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 04/08/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Nearly all persons with Down syndrome will show pathology of Alzheimer's disease in their 40s. There is a critical need for studies to identify early biomarkers of these various pathological changes of Alzheimer's disease in the Down syndrome population and understand the relationship of these biomarkers to cognitive symptoms in order to inform clinical trials. Although Alzheimer's disease is often considered a disease of gray matter, white matter degeneration has been documented during the preclinical stage of Alzheimer's disease. The current study examined the association between diffusion tensor imaging (DTI) measures of white matter microstructure and episodic memory performance in 52 adults with Down syndrome. METHODS Seventy (N = 70) participants (M = 40.13, SD = 7.77 years) received baseline scans as part of the Neurodegeneration in Aging Down Syndrome (NiAD) study at two imaging facilities (36 at the University of Wisconsin-Madison [UW-Madison] and 34 at the University of Pittsburgh Medical Center [UPMC]). All participants had genetically confirmed trisomy 21. Fifty-two (N = 52) participants remained after QC. The DTI measures, fractional anisotropy (FA) and mean diffusivity (MD), were calculated for each participant. A combined measure of episodic memory was generated by summing the z-scores of (1) Free and Cued Recall test and (2) Rivermead Behavioural Memory Test for Children Picture Recognition. The DTI data were projected onto a population-derived FA skeleton and tract-based spatial statistics analysis was conducted using the FSL tool PALM to calculate Pearson's r values between FA and MD with episodic memory. RESULTS A positive correlation of episodic memory with FA and a negative correlation of episodic memory and MD in the major association white matter tracts were observed. Results were significant (p < 0.05) after correction for chronological age, imaging site, and premorbid cognitive ability. CONCLUSION These findings suggest that white matter degeneration may be implicated in early episodic memory declines prior to the onset of dementia in adults with Down syndrome. Further, our findings suggest a coupling of episodic memory and white matter microstructure independent of chronological age.
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Affiliation(s)
- Austin Bazydlo
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
| | - Matthew Zammit
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Minjie Wu
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Douglas Dean
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Sterling Johnson
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Dana Tudorascu
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ann Cohen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Karly Cody
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Beau Ances
- Washington University of St. Louis, St. Louis, MO, USA
| | - Charles Laymon
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - William Klunk
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Shahid Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, University of Cambridge, Cambridge, UK
| | - Benjamin Handen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Andrew Alexander
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Bradley Christian
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Sigan Hartley
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- School of Human Ecology, University of Wisconsin-Madison, Madison, WI, USA
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22
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Reiche L, Göttle P, Lane L, Duek P, Park M, Azim K, Schütte J, Manousi A, Schira-Heinen J, Küry P. C21orf91 Regulates Oligodendroglial Precursor Cell Fate-A Switch in the Glial Lineage? Front Cell Neurosci 2021; 15:653075. [PMID: 33796011 PMCID: PMC8008080 DOI: 10.3389/fncel.2021.653075] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 02/22/2021] [Indexed: 12/16/2022] Open
Abstract
Neuropathological diseases of the central nervous system (CNS) are frequently associated with impaired differentiation of the oligodendroglial cell lineage and subsequent alterations in white matter structure and dynamics. Down syndrome (DS), or trisomy 21, is the most common genetic cause for cognitive impairments and intellectual disability (ID) and is associated with a reduction in the number of neurons and oligodendrocytes, as well as with hypomyelination and astrogliosis. Recent studies mainly focused on neuronal development in DS and underestimated the role of glial cells as pathogenic players. This also relates to C21ORF91, a protein considered a key modulator of aberrant CNS development in DS. We investigated the role of C21orf91 ortholog in terms of oligodendrogenesis and myelination using database information as well as through cultured primary oligodendroglial precursor cells (OPCs). Upon modulation of C21orf91 gene expression, we found this factor to be important for accurate oligodendroglial differentiation, influencing their capacity to mature and to myelinate axons. Interestingly, C21orf91 overexpression initiates a cell population coexpressing astroglial- and oligodendroglial markers indicating that elevated C21orf91 expression levels induce a gliogenic shift towards the astrocytic lineage reflecting non-equilibrated glial cell populations in DS brains.
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Affiliation(s)
- Laura Reiche
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Peter Göttle
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.,Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Paula Duek
- CALIPHO Group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland.,Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Mina Park
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Kasum Azim
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Jana Schütte
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Anastasia Manousi
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Jessica Schira-Heinen
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Patrick Küry
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
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23
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Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by a Neuropsychological Assessment. Brain Sci 2021; 11:brainsci11030311. [PMID: 33801471 PMCID: PMC8001398 DOI: 10.3390/brainsci11030311] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/21/2021] [Accepted: 02/25/2021] [Indexed: 01/04/2023] Open
Abstract
Background: Studies on complexity indicators in the field of functional connectivity derived from resting-state fMRI (rs-fMRI) in Down syndrome (DS) samples and their possible relationship with cognitive functioning variables are rare. We analyze how some complexity indicators estimated in the subareas that constitute the default mode network (DMN) might be predictors of the neuropsychological outcomes evaluating Intelligence Quotient (IQ) and cognitive performance in persons with DS. Methods: Twenty-two DS people were assessed with the Kaufman Brief Test of Intelligence (KBIT) and Frontal Assessment Battery (FAB) tests, and fMRI signals were recorded in a resting state over a six-minute period. In addition, 22 controls, matched by age and sex, were evaluated with the same rs-fMRI procedure. Results: There was a significant difference in complexity indicators between groups: the control group showed less complexity than the DS group. Moreover, the DS group showed more variance in the complexity indicator distributions than the control group. In the DS group, significant and negative relationships were found between some of the complexity indicators in some of the DMN networks and the cognitive performance scores. Conclusions: The DS group is characterized by more complex DMN networks and exhibits an inverse relationship between complexity and cognitive performance based on the negative parameter estimates.
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24
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Musaeus CS, Salem LC, Kjaer TW, Waldemar G. Electroencephalographic functional connectivity is altered in persons with Down syndrome and Alzheimer's disease. JOURNAL OF INTELLECTUAL DISABILITY RESEARCH : JIDR 2021; 65:236-245. [PMID: 33336867 DOI: 10.1111/jir.12803] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 10/06/2020] [Accepted: 11/21/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Persons with Down syndrome (DS) are at increased risk of developing Alzheimer's dementia (DS-AD). Due to heterogeneity in the functioning in persons with DS, it is difficult to use cognitive testing to assess whether a person with DS has developed dementia due to AD. Electroencephalography (EEG) functional connectivity has shown promising results as a diagnostic tool for AD in persons without DS. In the current exploratory study, we investigated whether EEG functional connectivity could be used as a diagnostic marker of AD in persons with DS and the association with symptoms. METHODS Electroencephalography from 12 persons with DS and 16 persons with DS-AD were analysed, and both coherence and weighted phase lag index were calculated. In addition, we calculated the average coherence for fronto-parietal and temporo-parietal connections. Lastly, we investigated the correlation between the informant-based Dementia Screening Questionnaire in Intellectual Disability (DSQIID) and total alpha coherence. RESULTS Decreased alpha and increased delta coherence and weighted phase lag index were observed in DS-AD as compared with DS. The decrease in alpha coherence was more marked in the fronto-parietal connections as compared with the temporo-parietal connections. No significant correlation was found between DSQIID and total alpha coherence (P value = 0.095, rho = -0.335). CONCLUSION The decreased alpha coherence and weighted phase lag index have previously been found in AD. The increased delta coherence and weighted phase lag index may indicate a different initial neurophysiological presentation as compared with patients with AD or may be a sign of more advanced disease. Larger studies are needed to confirm the current findings.
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Affiliation(s)
- C S Musaeus
- Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - L C Salem
- Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - T W Kjaer
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Neurophysiology Center, Zealand University Hospital, Roskilde, Denmark
| | - G Waldemar
- Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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25
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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: 75] [Impact Index Per Article: 18.8] [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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26
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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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27
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Fonseca LM, Mattar GP, Haddad GG, Burduli E, McPherson SM, Guilhoto LMDFF, Yassuda MS, Busatto GF, Bottino CMDC, Hoexter MQ, Chaytor NS. Neuropsychiatric Symptoms of Alzheimer's Disease in Down Syndrome and Its Impact on Caregiver Distress. J Alzheimers Dis 2021; 81:137-154. [PMID: 33749644 PMCID: PMC9789481 DOI: 10.3233/jad-201009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2021] [Indexed: 01/19/2023]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) are non-cognitive manifestations common to dementia and other medical conditions, with important consequences for the patient, caregivers, and society. Studies investigating NPS in individuals with Down syndrome (DS) and dementia are scarce. OBJECTIVE Characterize NPS and caregiver distress among adults with DS using the Neuropsychiatric Inventory (NPI). METHODS We evaluated 92 individuals with DS (≥30 years of age), divided by clinical diagnosis: stable cognition, prodromal dementia, and AD. Diagnosis was determined by a psychiatrist using the Cambridge Examination for Mental Disorders of Older People with Down's Syndrome and Others with Intellectual Disabilities (CAMDEX-DS). NPS and caregiver distress were evaluated by an independent psychiatrist using the NPI, and participants underwent a neuropsychological assessment with Cambridge Cognitive Examination (CAMCOG-DS). RESULTS Symptom severity differed between-groups for delusion, agitation, apathy, aberrant motor behavior, nighttime behavior disturbance, and total NPI scores, with NPS total score being found to be a predictor of AD in comparison to stable cognition (OR for one-point increase in the NPI = 1.342, p = 0.012). Agitation, apathy, nighttime behavior disturbances, and total NPI were associated with CAMCOG-DS, and 62% of caregivers of individuals with AD reported severe distress related to NPS. Caregiver distress was most impacted by symptoms of apathy followed by nighttime behavior, appetite/eating abnormalities, anxiety, irritability, disinhibition, and depression (R2 = 0.627, F(15,76) = 8.510, p < 0.001). CONCLUSION NPS are frequent and severe in individuals with DS and AD, contributing to caregiver distress. NPS in DS must be considered of critical relevance demanding management and treatment. Further studies are warranted to understand the biological underpinnings of such symptoms.
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Affiliation(s)
- Luciana Mascarenhas Fonseca
- Department of Medical Education and Clinical Science, Washington State University, Spokane, WA, USA
- Programa Terceira Idade PROTER, Old Age Research Group, Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Guilherme Prado Mattar
- Programa Terceira Idade PROTER, Old Age Research Group, Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Glenda Guerra Haddad
- Programa Terceira Idade PROTER, Old Age Research Group, Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | | | - Sterling M. McPherson
- Department of Medical Education and Clinical Science, Washington State University, Spokane, WA, USA
| | | | | | - Geraldo Filho Busatto
- Programa Terceira Idade PROTER, Old Age Research Group, Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
- Laboratorio de Neuroimagem em Psiquiatria (LIM21, Laboratory of Psychiatric Neuroimaging), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Cassio Machado de Campos Bottino
- Programa Terceira Idade PROTER, Old Age Research Group, Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Marcelo Queiroz Hoexter
- Projeto Transtornos do Espectro Obsessivo-Compulsivo PROTOC, Obsessive-Compulsive Spectrum Disorders Program, Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Naomi Sage Chaytor
- Department of Medical Education and Clinical Science, Washington State University, Spokane, WA, USA
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28
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Thalman S, Van Pelt KL, Lin AL, Johnson NF, Jicha G, Caban-Holt A, Robertson W, Lightner D, Powell D, Head E, Schmitt F. A preliminary study of cerebral blood flow, aging and dementia in people with Down syndrome. JOURNAL OF INTELLECTUAL DISABILITY RESEARCH : JIDR 2020; 64:934-945. [PMID: 32996650 PMCID: PMC8244721 DOI: 10.1111/jir.12784] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 07/28/2020] [Accepted: 09/06/2020] [Indexed: 05/02/2023]
Abstract
BACKGROUND People with Down syndrome (DS) develop Alzheimer's disease (AD) at an earlier age of onset than those with sporadic AD. AD neuropathology is typically present in DS by 40 years of age with an onset of dementia approximately 10 years later. This early onset is due to the overexpression of amyloid precursor protein from the third copy of chromosome 21. Cerebrovascular neuropathology is thought to contribute in 40-60% of cases sporadic AD. However, the vascular contribution to dementia in people with DS has been relatively unexplored. We hypothesised that vascular perfusion is compromised in older adults with DS relative to younger individuals and is further exacerbated in those with dementia. METHOD Cerebral blood flow (CBF) was measured using pulsed arterial spin labelling in 35 cognitively characterised adults with DS (26-65 years). DS participants were also compared with 15 control subjects without DS or dementia (26-65 years). Linear regression evaluated the difference in CBF across groups and diagnosis along with assessing the association between CBF and cognitive measures within the DS cohort. RESULTS Cerebral blood flow was significantly lower among DS participants with probable AD compared with controls (P = 0.02) and DS participants with no dementia (P = 0.01). Within the DS cohort, CBF was significantly associated with the Severe Impairment Battery (SIB) measure and the Dementia Questionnaire for People with Learning Disabilities (DLD) rating (F3,25 = 5.13; P = 0.007). Both the SIB (β = 0.74; t = 2.71; P = 0.01) and DLD (β = -0.96; t = -3.87; P < 0.001) indicated greater impairment as global CBF decreased. Age was significantly associated with CBF among participants with DS. There was a non-linear effect of age, whereby CBF declined more rapidly after 45 years of age. CONCLUSIONS This preliminary study of CBF in DS indicates that cerebrovascular pathology may be a significant contributor to dementia in DS. CBF was associated with diagnosis, cognition and age. Notably, CBF decreases at a greater rate after age 45 and may represent a significant prodromal event in AD progression.
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Affiliation(s)
- S Thalman
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - K L Van Pelt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - A-L Lin
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Pharmacology & Nutritional Sciences, University of Kentucky, Lexington, KY, USA
| | - N F Johnson
- College of Health Sciences, Department of Physical Therapy, University of Kentucky, Lexington, KY, USA
| | - G Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - A Caban-Holt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - W Robertson
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - D Lightner
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - D Powell
- Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, USA
| | - E Head
- Department of Pathology & Laboratory Medicine, Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine, CA, USA
| | - F Schmitt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
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29
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Screening of Cognitive Changes in Adults with Intellectual Disabilities: A Systematic Review. Brain Sci 2020; 10:brainsci10110848. [PMID: 33198271 PMCID: PMC7698112 DOI: 10.3390/brainsci10110848] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/03/2020] [Accepted: 11/05/2020] [Indexed: 11/30/2022] Open
Abstract
Background and Aims: Screening and assessment of cognitive changes in adults with Intellectual Disabilities (ID), mainly Down Syndrome (DS), is crucial to offer appropriate services to their needs. We present a systematic review of the existing instruments assessing dementia, aiming to support researchers and clinicians’ best practice. Methods: Searches were carried out in the databases Web of Science; PubMed; PsycINFO in March 2019 and updated in October 2020. Studies were selected and examined if they: (1) focused on assessing age-related cognitive changes in persons with ID; (2) included adults and/or older adults; (3) included scales and batteries for cognitive assessment. Results: Forty-eight cross-sectional studies and twenty-seven longitudinal studies were selected representing a total sample of 6451 participants (4650 DS and 1801 with other ID). In those studies, we found 39 scales, questionnaires, and inventories, and 13 batteries for assessing cognitive and behavioural changes in adults with DS and other ID. Conclusion: The most used instrument completed by an informant or carer was the Dementia Questionnaire for Learning Disabilities (DLD), and its previous versions. We discuss the strengths and limitations of the instruments and outline recommendations for future use.
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30
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Rosas HD, Hsu E, Mercaldo ND, Lai F, Pulsifer M, Keator D, Brickman AM, Price J, Yassa M, Hom C, Krinsky‐McHale SJ, Silverman W, Lott I, Schupf N. Alzheimer-related altered white matter microstructural integrity in Down syndrome: A model for sporadic AD? ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12040. [PMID: 33204811 PMCID: PMC7648416 DOI: 10.1002/dad2.12040] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/14/2020] [Accepted: 02/19/2020] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Virtually all adults with Down syndrome (DS) develop Alzheimer's disease (AD)-associated neuropathology by the age of 40, with risk for dementia increasing from the early 50s. White matter (WM) pathology has been reported in sporadic AD, including early demyelination, microglial activation, loss of oligodendrocytes and reactive astrocytes but has not been extensively studied in the at-risk DS population. METHODS Fifty-six adults with DS (35 cognitively stable adults, 11 with mild cognitive impairment, 10 with dementia) underwent diffusion-weighted magnetic resonance imaging (MRI), amyloid imaging, and had assessments of cognition and functional abilities using tasks appropriate for persons with intellectual disability. RESULTS Early changes in late-myelinating and relative sparing of early-myelinating pathways, consistent with the retrogenesis model proposed for sporadic AD, were associated with AD-related cognitive deficits and with regional amyloid deposition. DISCUSSION Our findings suggest that quantification of WM changes in DS could provide a promising and clinically relevant biomarker for AD clinical onset and progression.
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Affiliation(s)
- H. Diana Rosas
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of RadiologyAthinoula Martinos CenterMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Eugene Hsu
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of RadiologyAthinoula Martinos CenterMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Nathaniel D. Mercaldo
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Florence Lai
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Margaret Pulsifer
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - David Keator
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Adam M. Brickman
- G. H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Julie Price
- Department of RadiologyAthinoula Martinos CenterMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Michael Yassa
- Department of Neurobiology and BehaviorUniversity of CaliforniaCalifornia, USAIrvine
| | - Christy Hom
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | | | - Wayne Silverman
- Kennedy Krieger InstituteJohns Hopkins University School of Medicine, BaltimoreMarylandUSA
- Department of PediatricsIrvine Medical CenterUniversity of CaliforniaIrvineCaliforniaUSA
| | - Ira Lott
- Department of PediatricsIrvine Medical CenterUniversity of CaliforniaIrvineCaliforniaUSA
| | - Nicole Schupf
- G. H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
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31
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Martini AC, Helman AM, McCarty KL, Lott IT, Doran E, Schmitt FA, Head E. Distribution of microglial phenotypes as a function of age and Alzheimer's disease neuropathology in the brains of people with Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12113. [PMID: 33088896 PMCID: PMC7560512 DOI: 10.1002/dad2.12113] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 09/02/2020] [Indexed: 12/23/2022]
Abstract
INTRODUCTION Microglial cells play an important role in the development of Alzheimer's disease (AD). People with Down syndrome (DS) inevitably develop AD neuropathology (DSAD) by 40 years of age. We characterized the distribution of different microglial phenotypes in the brains of people with DS and DSAD. METHODS Autopsy tissue from the posterior cingulate cortex (PCC) from people with DS, DSAD, and neurotypical controls was immunostained with the microglial marker Iba1 to assess five microglia morphological types. RESULTS Individuals with DS have more hypertrophic microglial cells in their white matter. In the gray matter, individuals with DSAD had significantly fewer ramified microglia and more dystrophic microglia than controls and the younger individuals with DS. The DSAD group also exhibited more rod-shaped and amoeboid cells than the AD group. DISCUSSION Individuals with DS and DSAD show a microglial phenotype that distinguishes them from non-DS controls.
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Affiliation(s)
- Alessandra C. Martini
- Department of Pathology and Laboratory MedicineUniversity of California, IrvineIrvineCaliforniaUSA
| | - Alex M. Helman
- Department of Molecular and Cellular BiochemistryUniversity of KentuckyLexingtonKentuckyUSA
- Sanders Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | - Katie L. McCarty
- Sanders Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | - Ira T. Lott
- Department of PediatricsUniversity of California, IrvineIrvineCaliforniaUSA
- Department of NeurologyUniversity of California, IrvineIrvineCaliforniaUSA
| | - Eric Doran
- Department of PediatricsUniversity of California, IrvineIrvineCaliforniaUSA
| | - Frederick A. Schmitt
- Sanders Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of NeurologyUniversity of KentuckyLexingtonKentuckyUSA
| | - Elizabeth Head
- Department of Pathology and Laboratory MedicineUniversity of California, IrvineIrvineCaliforniaUSA
- Department of NeurologyUniversity of KentuckyLexingtonKentuckyUSA
- Department of Pharmacology and Nutritional SciencesUniversity of KentuckyLexingtonKentuckyUSA
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32
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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: 67] [Impact Index Per Article: 13.4] [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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33
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Fonseca LM, Padilla C, Jones E, Neale N, Haddad GG, Mattar GP, Barros E, Clare ICH, Busatto GF, Bottino CMC, Hoexter MQ, Holland AJ, Zaman S. Amnestic and non-amnestic symptoms of dementia: An international study of Alzheimer's disease in people with Down's syndrome. Int J Geriatr Psychiatry 2020; 35:650-661. [PMID: 32100307 DOI: 10.1002/gps.5283] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 01/07/2020] [Accepted: 02/13/2020] [Indexed: 01/19/2023]
Abstract
UNLABELLED The presence of age-related neuropathology characteristic of Alzheimer's disease (AD) in people with Down syndrome (DS) is well-established. However, the early symptoms of dementia may be atypical and appear related to dysfunction of prefrontal circuitry. OBJECTIVE To characterize the initial informant reported age-related neuropsychiatric symptoms of dementia in people with DS, and their relationship to AD and frontal lobe function. METHODS Non-amnestic informant reported symptoms (disinhibition, apathy, and executive dysfunction) and amnestic symptoms from the CAMDEX-DS informant interview were analyzed in a cross-sectional cohort of 162 participants with DS over 30 years of age, divided into three groups: stable cognition, prodromal dementia, and AD. To investigate age-related symptoms prior to evidence of prodromal dementia we stratified the stable cognition group by age. RESULTS Amnestic and non-amnestic symptoms were present before evidence of informant-reported cognitive decline. In those who received the diagnosis of AD, symptoms tended to be more marked. Memory impairments were more marked in the prodromal dementia than the stable cognition group (OR = 35.07; P < .001), as was executive dysfunction (OR = 7.16; P < .001). Disinhibition was greater in the AD than in the prodromal dementia group (OR = 3.54; P = .04). Apathy was more pronounced in the AD than in the stable cognition group (OR = 34.18; P < .001). CONCLUSION Premorbid amnestic and non-amnestic symptoms as reported by informants increase with the progression to AD. For the formal diagnosis of AD in DS this progression of symptoms needs to be taken into account. An understanding of the unique clinical presentation of DS in AD should inform treatment options.
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Affiliation(s)
- Luciana M Fonseca
- Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil.,Department of Psychiatry, University of Cambridge, Cambridge, UK.,Department of Medical Education and Clinical Science, Washington State University, Spokane, Washington, USA
| | | | - Elizabeth Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Natalie Neale
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Glenda G Haddad
- Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Guilherme P Mattar
- Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Eriton Barros
- Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil
| | - Isabel C H Clare
- Department of Psychiatry, University of Cambridge, Cambridge, UK.,Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK.,NIHR Applied Research Collaboration East of England, Cambridge, UK
| | - Geraldo F Busatto
- Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil.,Laboratorio de Neuroimagem em Psiquiatria (LIM21, Laboratory of Psychiatric Neuroimaging), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Cassio M C Bottino
- Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Marcelo Q Hoexter
- Projeto Transtornos do Espectro Obsessivo-Compulsivo (PROTOC, Obsessive-Compulsive Spectrum Disorders Program), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | | | - Shahid Zaman
- Department of Psychiatry, University of Cambridge, Cambridge, UK.,Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
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34
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Lee NR, Nayak A, Irfanoglu MO, Sadeghi N, Stoodley CJ, Adeyemi E, Clasen LS, Pierpaoli C. Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry. Sci Rep 2020; 10:5447. [PMID: 32214129 PMCID: PMC7096514 DOI: 10.1038/s41598-020-61799-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 02/10/2020] [Indexed: 12/21/2022] Open
Abstract
Quantitative magnetic resonance imaging (MRI) investigations of brain anatomy in children and young adults with Down syndrome (DS) are limited, with no diffusion tensor imaging (DTI) studies covering that age range. We used DTI-driven tensor based morphometry (DTBM), a novel technique that extracts morphometric information from diffusion data, to investigate brain anatomy in 15 participants with DS and 15 age- and sex-matched typically developing (TD) controls, ages 6-24 years (mean age ~17 years). DTBM revealed marked hypoplasia of cerebellar afferent systems in DS, including fronto-pontine (middle cerebellar peduncle) and olivo-cerebellar (inferior cerebellar peduncle) connections. Prominent gray matter hypoplasia was observed in medial frontal regions, the inferior olives, and the cerebellum. Very few abnormalities were detected by classical diffusion MRI metrics, such as fractional anisotropy and mean diffusivity. Our results highlight the potential importance of cerebro-cerebellar networks in the clinical manifestations of DS and suggest a role for DTBM in the investigation of other brain disorders involving white matter hypoplasia or atrophy.
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Affiliation(s)
- Nancy Raitano Lee
- Drexel University, Department of Psychology, Philadelphia, PA, 19104, USA.
| | - Amritha Nayak
- National Institute of Biomedical Imaging and Bioengineering, NIH, Quantitative Medical Imaging Section, Bethesda, MD, 20892, USA
| | - M Okan Irfanoglu
- National Institute of Biomedical Imaging and Bioengineering, NIH, Quantitative Medical Imaging Section, Bethesda, MD, 20892, USA
| | - Neda Sadeghi
- National Institute of Biomedical Imaging and Bioengineering, NIH, Quantitative Medical Imaging Section, Bethesda, MD, 20892, USA
| | | | | | - Liv S Clasen
- National Institute of Mental Health, NIH, Developmental Neurogenomics Unit, Human Genetics Branch, Bethesda, MD, 20892, USA
| | - Carlo Pierpaoli
- National Institute of Biomedical Imaging and Bioengineering, NIH, Quantitative Medical Imaging Section, Bethesda, MD, 20892, USA
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Aberrant Oligodendrogenesis in Down Syndrome: Shift in Gliogenesis? Cells 2019; 8:cells8121591. [PMID: 31817891 PMCID: PMC6953000 DOI: 10.3390/cells8121591] [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] [Received: 10/31/2019] [Revised: 11/28/2019] [Accepted: 12/04/2019] [Indexed: 12/25/2022] Open
Abstract
Down syndrome (DS), or trisomy 21, is the most prevalent chromosomal anomaly accounting for cognitive impairment and intellectual disability (ID). Neuropathological changes of DS brains are characterized by a reduction in the number of neurons and oligodendrocytes, accompanied by hypomyelination and astrogliosis. Recent studies mainly focused on neuronal development in DS, but underestimated the role of glial cells as pathogenic players. Aberrant or impaired differentiation within the oligodendroglial lineage and altered white matter functionality are thought to contribute to central nervous system (CNS) malformations. Given that white matter, comprised of oligodendrocytes and their myelin sheaths, is vital for higher brain function, gathering knowledge about pathways and modulators challenging oligodendrogenesis and cell lineages within DS is essential. This review article discusses to what degree DS-related effects on oligodendroglial cells have been described and presents collected evidence regarding induced cell-fate switches, thereby resulting in an enhanced generation of astrocytes. Moreover, alterations in white matter formation observed in mouse and human post-mortem brains are described. Finally, the rationale for a better understanding of pathways and modulators responsible for the glial cell imbalance as a possible source for future therapeutic interventions is given based on current experience on pro-oligodendroglial treatment approaches developed for demyelinating diseases, such as multiple sclerosis.
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The Role of Vesicle Trafficking and Release in Oligodendrocyte Biology. Neurochem Res 2019; 45:620-629. [PMID: 31782103 DOI: 10.1007/s11064-019-02913-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 11/11/2019] [Accepted: 11/16/2019] [Indexed: 12/11/2022]
Abstract
Oligodendrocytes are a subtype of glial cells found within the central nervous system (CNS), responsible for the formation and maintenance of specialized myelin membranes which wrap neuronal axons. The development of myelin requires tight coordination for the cell to deliver lipid and protein building blocks to specific myelin segments at the right time. Both internal and external cues control myelination, thus the reception of these signals also requires precise regulation. In late years, a growing body of evidence indicates that oligodendrocytes, like many other cell types, may use extracellular vesicles (EVs) as a medium for transferring information. The field of EV research has expanded rapidly over the past decade, with new contributions that suggest EVs might have direct involvement in communications with neurons and other glial cells to fine tune oligodendroglial function. This functional role of EVs might also be maladaptive, as it has likewise been implicated in the spreading of toxic molecules within the brain during disease. In this review we will discuss the field's current understanding of extracellular vesicle biology within oligodendrocytes, and their contribution to physiologic and pathologic conditions.
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Musaeus CS, Salem LC, Kjaer TW, Waldemar G. Microstate Changes Associated With Alzheimer's Disease in Persons With Down Syndrome. Front Neurosci 2019; 13:1251. [PMID: 31849579 PMCID: PMC6892825 DOI: 10.3389/fnins.2019.01251] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Accepted: 11/05/2019] [Indexed: 11/13/2022] Open
Abstract
Down syndrome (DS) is associated with development of dementia due to Alzheimer’s disease (AD). However, due to considerable heterogeneity in intellectual function among persons with DS, it is difficult to assess whether a person with DS has developed dementia due to AD (DS-AD). EEG spectral power has previously shown very promising results with increased slowing in DS-AD compared to DS. However, another technique called microstates may be used to assess whole-brain dynamics and has to our knowledge not previously been investigated in either DS or DS-AD. The aim of the current study was to assess whether microstates could be used to differentiate between adults with DS, and DS-AD. We included EEGs from 10 persons with DS and 15 persons with DS-AD in the analysis. For the microstate analyses, we calculated four global maps, which were then back-fitted to all the EEGs. Lastly, we extracted the duration, occurrence, and coverage for each of the microstates. Here, we found the four archetypical maps as has previously been reported in the literature. We did not find any significant difference between DS and DS-AD but the largest difference in microstate duration between DS and DS-AD was found in microstate A and D. These findings are in line with structural MR studies showing that both the frontal and temporal lobes are affected in persons with DS-AD. Microstates may potentially serve as a diagnostic marker, but larger studies are needed to confirm these findings.
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Affiliation(s)
- Christian Sandøe Musaeus
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lise Cronberg Salem
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Troels Wesenberg Kjaer
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Neurophysiology Center, Zealand University Hospital, Roskilde, Denmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Hippocampal damage and white matter lesions contribute to cognitive impairment in MPTP-lesioned mice with chronic cerebral hypoperfusion. Behav Brain Res 2019; 368:111885. [DOI: 10.1016/j.bbr.2019.03.054] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 03/18/2019] [Accepted: 03/30/2019] [Indexed: 01/23/2023]
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Baburamani AA, Patkee PA, Arichi T, Rutherford MA. New approaches to studying early brain development in Down syndrome. Dev Med Child Neurol 2019; 61:867-879. [PMID: 31102269 PMCID: PMC6618001 DOI: 10.1111/dmcn.14260] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/28/2019] [Indexed: 12/19/2022]
Abstract
Down syndrome is the most common genetic developmental disorder in humans and is caused by partial or complete triplication of human chromosome 21 (trisomy 21). It is a complex condition which results in multiple lifelong health problems, including varying degrees of intellectual disability and delays in speech, memory, and learning. As both length and quality of life are improving for individuals with Down syndrome, attention is now being directed to understanding and potentially treating the associated cognitive difficulties and their underlying biological substrates. These have included imaging and postmortem studies which have identified decreased regional brain volumes and histological anomalies that accompany early onset dementia. In addition, advances in genome-wide analysis and Down syndrome mouse models are providing valuable insight into potential targets for intervention that could improve neurogenesis and long-term cognition. As little is known about early brain development in human Down syndrome, we review recent advances in magnetic resonance imaging that allow non-invasive visualization of brain macro- and microstructure, even in utero. It is hoped that together these advances may enable Down syndrome to become one of the first genetic disorders to be targeted by antenatal treatments designed to 'normalize' brain development. WHAT THIS PAPER ADDS: Magnetic resonance imaging can provide non-invasive characterization of early brain development in Down syndrome. Down syndrome mouse models enable study of underlying pathology and potential intervention strategies. Potential therapies could modify brain structure and improve early cognitive levels. Down syndrome may be the first genetic disorder to have targeted therapies which alter antenatal brain development.
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Affiliation(s)
- Ana A Baburamani
- Centre for the Developing BrainDepartment of Perinatal Imaging and HealthSchool of Biomedical Engineering & Imaging SciencesKing's College LondonKing's Health PartnersSt Thomas’ HospitalLondonUK
| | - Prachi A Patkee
- Centre for the Developing BrainDepartment of Perinatal Imaging and HealthSchool of Biomedical Engineering & Imaging SciencesKing's College LondonKing's Health PartnersSt Thomas’ HospitalLondonUK
| | - Tomoki Arichi
- Centre for the Developing BrainDepartment of Perinatal Imaging and HealthSchool of Biomedical Engineering & Imaging SciencesKing's College LondonKing's Health PartnersSt Thomas’ HospitalLondonUK,Department of BioengineeringImperial College LondonLondonUK,Children's NeurosciencesEvelina London Children's HospitalLondonUK
| | - Mary A Rutherford
- Centre for the Developing BrainDepartment of Perinatal Imaging and HealthSchool of Biomedical Engineering & Imaging SciencesKing's College LondonKing's Health PartnersSt Thomas’ HospitalLondonUK
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Rodrigues M, Nunes J, Figueiredo S, Martins de Campos A, Geraldo AF. Neuroimaging assessment in Down syndrome: a pictorial review. Insights Imaging 2019; 10:52. [PMID: 31111268 PMCID: PMC6527671 DOI: 10.1186/s13244-019-0729-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 03/07/2019] [Indexed: 02/08/2023] Open
Abstract
Down syndrome (DS), or trisomy 21, is the leading genetic cause of intellectual incapacity worldwide, with a reported incidence of about 1 in 1,000 to 1 in 1,100 live births. Besides the several commonly known physical features characteristic of this syndrome present at birth, DS may additionally affect every organ system. In addition, despite the large number of published papers concerning this syndrome, there is scarce literature focusing specifically in the typical neuroimaging features associated with this condition. The aim of this paper is to review and systematize the distinctive characteristics and abnormalities of the central nervous system, head and neck, and spine present in DS patients that should actively be searched for and evaluated by radiologists and/or neuroradiologists.
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Affiliation(s)
- Marta Rodrigues
- Neuroradiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, R. Conceição Fernandes, 1079, Vila Nova de Gaia, Portugal.
| | - Joana Nunes
- Neuroradiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, R. Conceição Fernandes, 1079, Vila Nova de Gaia, Portugal
| | - Sofia Figueiredo
- Neurology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
| | | | - Ana Filipa Geraldo
- Neuroradiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, R. Conceição Fernandes, 1079, Vila Nova de Gaia, Portugal
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Fonseca LM, Mattar GP, Haddad GG, Gonçalves AS, Miguel ADQC, Guilhoto LM, Zaman S, Holland AJ, Bottino CMDC, Hoexter MQ. Frontal-subcortical behaviors during Alzheimer's disease in individuals with Down syndrome. Neurobiol Aging 2019; 78:186-194. [PMID: 30947114 DOI: 10.1016/j.neurobiolaging.2019.02.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 02/08/2019] [Accepted: 02/28/2019] [Indexed: 11/25/2022]
Abstract
There is evidence that frontal-subcortical circuits play an important role in the initial presentation of dementia in Down syndrome (DS), including changes in behavior, a decline in working memory and executive dysfunction. We evaluated 92 individuals with DS (≥30 years of age), divided into 3 groups by diagnosis-stable cognition, prodromal dementia, and Alzheimer's disease. Each individual was evaluated with an executive protocol developed for people with intellectual disabilities and was rated for behaviors related to frontal lobe dysfunction (disinhibition, executive dysfunction, and apathy) by an informant using the Frontal Systems Behavior Scale. Informant-reported behaviors related to frontal lobe dysfunction were found to correlate negatively with executive function performance. Disinhibition and executive dysfunction were associated with the clinical stage of dementia. The odds of having Alzheimer's disease increased in parallel with increases in the domain and total Frontal Systems Behavior Scale scores (p ≤ 0.5). Disinhibition, executive dysfunction and apathy should be taken into consideration during the clinical evaluation of adults with DS, and future studies should consider the intersection of neuropathology, brain connectivity, and behavior.
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Affiliation(s)
- Luciana Mascarenhas Fonseca
- Old Age Research Group, PROTER, Department and Institute of Psychiatry, University of São Paulo School of Medicine, FMUSP, São Paulo, Brazil; Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - Guilherme Prado Mattar
- Old Age Research Group, PROTER, Department and Institute of Psychiatry, University of São Paulo School of Medicine, FMUSP, São Paulo, Brazil
| | - Glenda Guerra Haddad
- Old Age Research Group, PROTER, Department and Institute of Psychiatry, University of São Paulo School of Medicine, FMUSP, São Paulo, Brazil
| | - Aline Souza Gonçalves
- Laboratory of Neuroscience, LIM27, Department and Institute of Psychiatry, University of São Paulo School of Medicine, FMUSP, São Paulo, Brazil
| | | | - Laura Maria Guilhoto
- Association of Parents and Friends of Individuals with Intellectual Disability of São Paulo, São Paulo, Brazil; Department of Neurology and Neurosurgery, Federal University of Sao Paulo, São Paulo, Brazil
| | - Shahid Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Anthony J Holland
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Cassio Machado de Campos Bottino
- Old Age Research Group, PROTER, Department and Institute of Psychiatry, University of São Paulo School of Medicine, FMUSP, São Paulo, Brazil
| | - Marcelo Queiroz Hoexter
- Obsessive-Compulsive Spectrum Disorders Program, PROTOC, Department and Institute of Psychiatry, University of São Paulo School of Medicine, FMUSP, São Paulo, Brazil
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Abstract
Virtually all adults with Down syndrome (DS) show the neuropathological changes of Alzheimer disease (AD) by the age of 40 years. This association is partially due to overexpression of amyloid precursor protein, encoded by APP, as a result of the location of this gene on chromosome 21. Amyloid-β accumulates in the brain across the lifespan of people with DS, which provides a unique opportunity to understand the temporal progression of AD and the epigenetic factors that contribute to the age of dementia onset. This age dependency in the development of AD in DS can inform research into the presentation of AD in the general population, in whom a longitudinal perspective of the disease is not often available. Comparison of the risk profiles, biomarker profiles and genetic profiles of adults with DS with those of individuals with AD in the general population can help to determine common and distinct pathways as well as mechanisms underlying increased risk of dementia. This Review evaluates the similarities and differences between the pathological cascades and genetics underpinning DS and AD with the aim of providing a platform for common exploration of these disorders.
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Affiliation(s)
- Ira T Lott
- Department of Pediatrics and Neurology, School of Medicine, University of California, Irvine, CA, USA.
| | - Elizabeth Head
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
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Helman AM, Siever M, McCarty KL, Lott IT, Doran E, Abner EL, Schmitt FA, Head E. Microbleeds and Cerebral Amyloid Angiopathy in the Brains of People with Down Syndrome with Alzheimer's Disease. J Alzheimers Dis 2019; 67:103-112. [PMID: 30452414 PMCID: PMC6424116 DOI: 10.3233/jad-180589] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Cerebrovascular pathology is a significant mediator in Alzheimer's disease (AD) in the general population. In people with Down syndrome (DS), the contribution of vascular pathology to dementia may play a similar role in age of onset and/or the rate of progression of AD. In the current study, we explored the extent of microbleeds (MBs) and the link between cerebral amyloid angiopathy (CAA) and MBs in the frontal cortex (FCTX) and occipital cortex (OCTX) in an autopsy series from individuals with DS (<40 years), DS with AD pathology (DSAD), sporadic AD, and control cases (2-83 years). Sections were immunostained against Aβ1 - 40 and an adjacent section stained using Prussian blue for MBs. MBs were both counted and averaged in each case and CAA was scored based on previously published methods. MBs were more frequent in DS cases relative to controls but present to a similar extent as sporadic AD. This aligned with CAA scores, with more extensive CAA in DS relative to controls in both brain regions. CAA was also more frequent in DSAD cases relative to sporadic AD. We found CAA to be associated with MBs and that MBs increased with age in DS after 30 years of age in the OCTX and after 40 years of age in the FCTX. MB and CAA appear to be a significant contributors to the development of dementia in people with DS and are important targets for future clinical trials.
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Affiliation(s)
- Alex M Helman
- Department of Molecular & Cellular Biochemistry, University of Kentucky, Lexington, KY, USA
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Morgan Siever
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Katie L McCarty
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Ira T Lott
- Department of Pediatrics, University of California, Irvine, Irvine, CA, USA
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
| | - Eric Doran
- Department of Pediatrics, University of California, Irvine, Irvine, CA, USA
| | - Erin L Abner
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Epidemiology, University of Kentucky, Lexington, KY, USA
| | - Frederick A Schmitt
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Elizabeth Head
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Pharmacology & Nutritional Sciences, University of Kentucky, Lexington, KY, USA
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Abstract
OBJECTIVES As surprisingly little is known about the developing brain studied in vivo in youth with Down syndrome (DS), the current review summarizes the small DS pediatric structural neuroimaging literature and begins to contextualize existing research within a developmental framework. METHODS A systematic review of the literature was completed, effect sizes from published studies were reviewed, and results are presented with respect to the DS cognitive behavioral phenotype and typical brain development. RESULTS The majority of DS structural neuroimaging studies describe gross differences in brain morphometry and do not use advanced neuroimaging methods to provide nuanced descriptions of the brain. There is evidence for smaller total brain volume (TBV), total gray matter (GM) and white matter, cortical lobar, hippocampal, and cerebellar volumes. When reductions in TBV are accounted for, specific reductions are noted in subregions of the frontal lobe, temporal lobe, cerebellum, and hippocampus. A review of cortical lobar effect sizes reveals mostly large effect sizes from early childhood through adolescence. However, deviance is smaller in adolescence. Despite these smaller effects, frontal GM continues to be largely deviant in adolescence. An examination of age-frontal GM relations using effect sizes from published studies and data from Lee et al. (2016) reveals that while there is a strong inverse relationship between age and frontal GM volume in controls across childhood and adolescence, this is not observed in DS. CONCLUSIONS Further developmentally focused research, ideally using longitudinal neuroimaging, is needed to elucidate the nature of the DS neuroanatomic phenotype during childhood and adolescence. (JINS, 2018, 24, 966-976).
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White matter involvement in young non-demented Down's syndrome subjects: a tract-based spatial statistic analysis. Neuroradiology 2018; 60:1335-1341. [PMID: 30264168 DOI: 10.1007/s00234-018-2102-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 09/17/2018] [Indexed: 10/28/2022]
Abstract
PURPOSE Cognitive decline in Down syndrome generally shows neurodegenerative aspects similar to what is observed in Alzheimer's disease. Few studies reported information on white matter integrity. The aim of this study was to evaluate white matter alterations in a cohort of young Down subjects, without dementia, by means of DTI technique, compared to a normal control group. METHODS The study group consisted of 17 right-handed subjects with DS and many control subjects. All individuals participating in this study were examined by MR exam including DTI acquisition (32 non-coplanar directions); image processing and analysis were performed using FMRIB Software Library (FSL version 4.1.9, http://www.fmrib.ox.ac.uk/fsl )) software package. Finally, the diffusion tensor was estimated voxel by voxel and the FA map derived from the tensor. A two-sample t test was performed to assess differences between DS and control subjects. RESULTS The FA is decreased in DS subjects, compared to control subjects, in the region of the anterior thalamic radiation, the inferior fronto-occipital fasciculum, the inferior longitudinal fasciculum, and the cortico-spinal tract, bilaterally. CONCLUSIONS The early white matter damage visible in our DS subjects could have great impact in the therapeutic management, in particular in better adapting the timing of therapies to counteract the toxic effect of the deposition of amyloid that leads to oxidative stress.
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Fenoll R, Pujol J, Esteba-Castillo S, de Sola S, Ribas-Vidal N, García-Alba J, Sánchez-Benavides G, Martínez-Vilavella G, Deus J, Dierssen M, Novell-Alsina R, de la Torre R. Anomalous White Matter Structure and the Effect of Age in Down Syndrome Patients. J Alzheimers Dis 2018; 57:61-70. [PMID: 28222523 DOI: 10.3233/jad-161112] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Neural tissue alterations in Down syndrome are fully expressed at relatively late developmental stages. In addition, there is an early presence of neurodegenerative changes in the late life stages. OBJECTIVE The aims of this study were both to characterize white matter abnormalities in the brain of adult Down syndrome patients using diffusion tensor imaging (DTI) and to investigate whether degenerative alterations in white matter structure are detectable before dementia is clinically evident. METHODS Forty-five adult non-demented Down syndrome patients showing a wide age range (18-52 years) and a matched 45-subject control group were assessed. DTI fractional anisotropy (FA) brain maps were generated and selected cognitive tests were administered. RESULTS Compared with healthy controls, non-demented Down syndrome patients showed lower DTI FA in white matter involving the major pathways, but with more severe alterations in the frontal-subcortical circuits. White matter FA decreased with age at a similar rate in both DS and control groups. CONCLUSIONS Our results contribute to characterizing the expression of white matter structural alterations in adult Down syndrome. However, an accelerated aging effect was not demonstrated, which may suggest that the FA measurements used are not sufficiently sensitive or, alternatively, age-related white matter neurodegeneration is not obvious prior to overt clinical dementia.
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Affiliation(s)
- Raquel Fenoll
- MRI Research Unit, Department of Radiology, Hospital del Mar, Barcelona, Spain
| | - Jesus Pujol
- MRI Research Unit, Department of Radiology, Hospital del Mar, Barcelona, Spain.,Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM G21, Barcelona, Spain
| | - Susanna Esteba-Castillo
- Specialized Department in Mental Health and Intellectual Disability, Institut d'Assistència Sanitària (IAS), Girona, Catalonia, Spain
| | - Susana de Sola
- Integrative Pharmacology and Neuroscience Systems Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain.,Cellular & Systems Neurobiology, Centre for Genomic Regulation (CRG), Barcelona, Spain
| | - Núria Ribas-Vidal
- Specialized Department in Mental Health and Intellectual Disability, Institut d'Assistència Sanitària (IAS), Girona, Catalonia, Spain
| | - Javier García-Alba
- Specialized Department in Mental Health and Intellectual Disability, Institut d'Assistència Sanitària (IAS), Girona, Catalonia, Spain
| | - Gonzalo Sánchez-Benavides
- Integrative Pharmacology and Neuroscience Systems Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Gerard Martínez-Vilavella
- Integrative Pharmacology and Neuroscience Systems Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Joan Deus
- MRI Research Unit, Department of Radiology, Hospital del Mar, Barcelona, Spain.,Department of Clinical and Health Psychology, Autonomous University of Barcelona, Spain
| | - Mara Dierssen
- Cellular & Systems Neurobiology, Centre for Genomic Regulation (CRG), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Ramón Novell-Alsina
- Cellular & Systems Neurobiology, Centre for Genomic Regulation (CRG), Barcelona, Spain
| | - Rafael de la Torre
- Integrative Pharmacology and Neuroscience Systems Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain.,Department de Ciències Experimentals i de la Salut Universitat Pompeu Fabra (CEXS-UPF), Barcelona, Spain
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A longitudinal study of brain anatomy changes preceding dementia in Down syndrome. NEUROIMAGE-CLINICAL 2018; 18:160-166. [PMID: 29868444 PMCID: PMC5984600 DOI: 10.1016/j.nicl.2018.01.024] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 12/18/2017] [Accepted: 01/18/2018] [Indexed: 12/21/2022]
Abstract
Background We longitudinally assessed Down syndrome individuals at the age of risk of developing dementia to measure changes in brain anatomy and their relationship to cognitive impairment progression. Methods Forty-two Down syndrome individuals were initially included, of whom 27 (mean age 46.8 years) were evaluable on the basis of completing the 2-year follow-up and success in obtaining good quality MRI exams. Voxel-based morphometry was used to estimate regional brain volumes at baseline and follow-up on 3D anatomical images. Longitudinal volume changes for the group and their relationship with change in general cognitive status and specific cognitive domains were mapped. Results As a group, significant volume reduction was identified in the substantia innominata region of the basal forebrain, hippocampus, lateral temporal cortex and left arcuate fasciculus. Volume reduction in the substantia innominata and hippocampus was more prominent in individuals whose clinical status changed from cognitively stable to mild cognitive impairment or dementia during the follow-up. Relevantly, longitudinal memory score change was specifically associated with volume change in the hippocampus, prospective memory with prefrontal lobe and verbal comprehension with language-related brain areas. Conclusions Results are notably concordant with the well-established anatomical changes signaling the progression to dementia in Alzheimer's disease, despite the dense baseline pathology that developmentally accumulates in Down syndrome. This commonality supports the potential value of Down syndrome as a genetic model of Alzheimer's neurodegeneration and may serve to further support the view that Down syndrome patients are best candidates to benefit from treatment research in Alzheimer's disease.
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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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50
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Manna C, Officioso A, Trojsi F, Tedeschi G, Leoncini S, Signorini C, Ciccoli L, De Felice C. Increased non-protein bound iron in Down syndrome: contribution to lipid peroxidation and cognitive decline. Free Radic Res 2016; 50:1422-1431. [DOI: 10.1080/10715762.2016.1253833] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Caterina Manna
- Department of Biochemistry, Biophysics and General Pathology, School of Medicine, Second University of Naples, Naples, Italy
| | - Arbace Officioso
- Department of Biochemistry, Biophysics and General Pathology, School of Medicine, Second University of Naples, Naples, Italy
| | - Francesca Trojsi
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Gioacchino Tedeschi
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Silvia Leoncini
- Child Neuropsychiatry Unit, University Hospital, Azienda Ospedaliera Universitaria Senese (AOUS), Policlinico “S.M. alle Scotte”, Siena, Italy
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | - Cinzia Signorini
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | - Lucia Ciccoli
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | - Claudio De Felice
- Neonatal Intensive Care Unit, University Hospital, AOUS, Policlinico “S. M. alle Scotte”, Siena, Italy
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