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Shimizu E, Goto-Hirano K, Motoi Y, Arai M, Hattori N. Symptoms and age of prodromal Alzheimer's disease in Down syndrome: a systematic review and meta-analysis. Neurol Sci 2024; 45:2445-2460. [PMID: 38228941 DOI: 10.1007/s10072-023-07292-9] [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: 07/20/2023] [Accepted: 12/22/2023] [Indexed: 01/18/2024]
Abstract
The diagnostic criteria for adult-onset Alzheimer's disease (AD) in patients with Down syndrome (DS) have not been standardised. This study investigated the specific symptoms of AD in the prodromal stage of DS, the mean age at diagnosis at each stage of dementia, and the relationship between intellectual disability (ID) and dementia. PubMed, Web of Science, and Embase were searched for studies on DS, AD, early-stage disease, initial symptoms, and prodromal dementia registered between January 2012 and January 2022. We also performed a meta-analysis of the differences between the mean age at prodromal symptoms and AD diagnosis and the proportion of mild cognitive impairment in patients with mild and moderately abnormal ID. We selected 14 articles reporting the behavioural and psychological symptoms of dementia (BPSD) and memory- and language-related impairments as early symptoms of AD in patients with DS. The specific symptoms of BPSD were classified into five categories: irritability (agitation), apathy, abnormal behaviour, adaptive functioning, and sleep disturbance. The mean age at the diagnosis of prodromal symptoms and AD dementia was 52.7 and 56.2 years, respectively (mean difference, + 3.11 years; 95% CI 1.82-4.40) in the meta-analysis. The diagnosis of mild dementia tended to correlate with ID severity (odds ratio [OR], 1.38; 95% CI 0.87-2.18). The features of behaviour-variant frontotemporal dementia may be clinically confirmed in diagnosing early symptoms of DS-associated AD (DSAD). Moreover, age-appropriate cognitive assessment is important. Further studies are required to evaluate DSAD using a combination of biomarkers and ID-related data.
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Affiliation(s)
- Eri Shimizu
- Department of Clinical Genetics, Juntendo University, 2-1-1, Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan
| | - Keiko Goto-Hirano
- Department of Clinical Genetics, Juntendo University, 2-1-1, Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.
| | - Yumiko Motoi
- The Medical Center for Dementia, Juntendo Hospital, Tokyo, Japan
| | - Masami Arai
- Department of Clinical Genetics, Juntendo University, 2-1-1, Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan
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Ghosh U, Tse E, Yang H, Shi M, Carlo CD, Wang F, Merz GE, Prusiner SB, Southworth DR, Condello C. Cryo-EM Structures Reveal Tau Filaments from Down Syndrome Adopt Alzheimer's Disease Fold. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.02.587507. [PMID: 38617229 PMCID: PMC11014571 DOI: 10.1101/2024.04.02.587507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Down syndrome (DS) is a common genetic condition caused by trisomy of chromosome 21. Among the complex clinical features including musculoskeletal, neurological and cardiovascular disabilities, individuals with DS have an increased risk of developing progressive dementia and early onset Alzheimer's Disease (AD). This is attributed to the increased gene dosage of amyloid-β (Aβ) precursor protein gene, the formation of self-propagating Aβ and tau prion conformers, and the deposition of neurotoxic Aβ plaques and tau neurofibrillary tangles. Tau amyloid fibrils have previously been established to adopt many distinct conformations across different neurodegenerative conditions. Here we report the characterization of brain samples from four DS cases spanning 36 to 63 years of age by spectral confocal imaging with conformation-specific dyes and cryo-electron microscopy (cryo-EM) to determine structures of isolated tau fibrils. High-resolution structures reveal paired helical filament (PHF) and straight filament (SF) conformations of tau that are identical to those determined from AD. The PHFs and SFs are made of two C-shaped protofilaments with a cross-β/β-helix motif. Similar to filaments from AD cases, most filaments from the DS cases adopted the PHF form, while a minority (~20%) formed SFs. Samples from the youngest individual with no documented dementia had sparse tau deposits. To isolate tau for cryo-EM from this challenging sample we used a novel affinity-grid method involving a graphene-oxide surface derivatized with anti-tau antibodies. This improved isolation and revealed primarily tau PHFs and a minor population of chronic traumatic encephalopathy type II-like filaments were present in this youngest case. These findings expand the similarities between AD and DS to the molecular level, providing insight into their related pathologies and the potential for targeting common tau filament folds by small-molecule therapeutics and diagnostics.
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Larsen FK, Baksh RA, McGlinchey E, Langballe EM, Benejam B, Beresford‐Webb J, McCarron M, Coppus A, Falquero S, Fortea J, Levin J, Loosli SV, Mark R, Rebillat A, Zaman S, Strydom A. Age of Alzheimer's disease diagnosis in people with Down syndrome and associated factors: Results from the Horizon 21 European Down syndrome consortium. Alzheimers Dement 2024; 20:3270-3280. [PMID: 38506627 PMCID: PMC11095427 DOI: 10.1002/alz.13779] [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: 11/24/2023] [Revised: 02/07/2024] [Accepted: 02/09/2024] [Indexed: 03/21/2024]
Abstract
INTRODUCTION People with Down syndrome (DS) have high risk of developing Alzheimer's disease (AD). This study examined mean ages of AD diagnosis and associations with co-occurring conditions among adults with DS from five European countries. METHODS Data from 1335 people with DS from the Horizon 21 European DS Consortium were used for the analysis. RESULTS Mean ages of AD diagnosis ranged between 51.4 (SD 7.0) years (United Kingdom) and 55.6 (SD 6.8) years (France). Sleep-related and mental health problems were associated with earlier age of AD diagnosis. The higher number of co-occurring conditions the more likely the person with DS is diagnosed with AD at an earlier age. DISCUSSION Mean age of AD diagnosis in DS was relatively consistent across countries. However, co-occurring conditions varied and impacted on age of diagnosis, suggesting that improvements can be made in diagnosing and managing these conditions to delay onset of AD in DS. HIGHLIGHTS Mean age of AD diagnosis was relatively consistent between countries Sleep problems and mental health problems were associated with earlier age of AD diagnosis APOE ε4 carriers were diagnosed with AD at an earlier age compared to non-carriers Number of co-occurring conditions was associated with earlier age of AD diagnosis No differences between level of intellectual disability and mean age of AD diagnosis.
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Affiliation(s)
- Frode Kibsgaard Larsen
- The Norwegian National Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
- Institute of Clinical MedicineFaculty of MedicineUniversity of OsloOsloNorway
| | - R. Asaad Baksh
- Institute of PsychiatryPsychology, and NeuroscienceDepartment of Forensic and Neurodevelopmental Sciences, King's College LondonLondonUK
- The London Down Syndrome (LonDownS) ConsortiumLondonUK
| | - Eimear McGlinchey
- Trinity Centre for Ageing and Intellectual DisabilityTrinity College Dublin, Lincoln GateDublinIreland
- Global Brain Health InstituteTrinity College Dublin & University of CaliforniaSan FranciscoCaliforniaUSA
| | - Ellen Melbye Langballe
- The Norwegian National Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
- Department of Geriatric MedicineOslo University HospitalOsloNorway
| | - Bessy Benejam
- Barcelona Down Medical CenterFundació Catalana Síndrome de DownBarcelonaSpain
| | - Jessica Beresford‐Webb
- Department of PsychiatryUniversity of CambridgeThe Old SchoolsCambridgeUK
- Cambridgeshire & Peterborough NHS Foundation TrustFulbourn HospitalCambridgeUK
| | - Mary McCarron
- Trinity Centre for Ageing and Intellectual DisabilityTrinity College Dublin, Lincoln GateDublinIreland
| | - Antonia Coppus
- Department of Primary and Community CareRadboud University Medical CenterNijmegenThe Netherlands
| | | | - Juan Fortea
- Barcelona Down Medical CenterFundació Catalana Síndrome de DownBarcelonaSpain
- Sant Pau Memory UnitDepartment of NeurologyHospital of Sant Pau, Sant Pau Research InstituteBarcelonaSpain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED)Monforte de LemosMadridSpain
| | - 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
- Department of NeurologyUniversity Hospital ZurichZurichSwitzerland
| | - Ruth Mark
- Cognitive NeuropsychologyTilburg UniversityTilburgThe Netherlands
| | | | - Shahid Zaman
- Department of PsychiatryUniversity of CambridgeThe Old SchoolsCambridgeUK
- Cambridgeshire & Peterborough NHS Foundation TrustFulbourn HospitalCambridgeUK
| | - Andre Strydom
- Institute of PsychiatryPsychology, and NeuroscienceDepartment of Forensic and Neurodevelopmental Sciences, King's College LondonLondonUK
- The London Down Syndrome (LonDownS) ConsortiumLondonUK
- South London and the Maudsley NHS Foundation TrustLondonUK
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Dan L, Hao Y, Li J, Wang T, Zhao W, Wang H, Qiao L, Xie P. Neuroprotective effects and possible mechanisms of berberine in animal models of Alzheimer's disease: a systematic review and meta-analysis. Front Pharmacol 2024; 14:1287750. [PMID: 38259291 PMCID: PMC10800531 DOI: 10.3389/fphar.2023.1287750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 10/26/2023] [Indexed: 01/24/2024] Open
Abstract
Background: Recently, multiple preclinical studies have reported the beneficial effect of berberine in the treatment of Alzheimer's disease (AD). Nevertheless, the neuroprotective effects and possible mechanisms of berberine against AD are not universally recognized. This study aimed to conduct a systematic review and meta-analysis by integrating relevant animal studies to assess the neuroprotective effects and potential mechanisms of berberine on AD. Methods: We systematically searched PubMed, Embase, Scopus and Web of Science databases that reported the effects of berberine on AD models up to 1 February 2023. The escape latency, times of crossing platform, time spent in the target quadrant and pro-oligomerized amyloid beta 42 (Aβ1-42) were included as primary outcomes. The secondary outcomes were the Tau-ps 204, Tau-ps 404, β-site of APP cleaving enzyme (BACE1), amyloid precursor protein (APP), acetylcholine esterase (AChE), tumor necrosis factor ⍺ (TNF-α), interleukin 1β (IL-1β), IL-6, nitric oxide (NO), glial fibrillary acidic protein (GFAP), malonaldehyde (MDA), glutathione S-transferase (GST), glutathione (GSH), glutathione peroxidase (GPx), Beclin-1 and neuronal apoptosis cells. This meta-analysis was conducted using RevMan 5.4 and STATA 15.1. The SYRCLE's risk of bias tool was used to assess the methodological quality. Results: Twenty-two studies and 453 animals were included in the analysis. The overall results showed that berberine significantly shortened the escape latency (p < 0.00001), increased times of crossing platform (p < 0.00001) and time spent in the target quadrant (p < 0.00001), decreased Aβ1-42 deposition (p < 0.00001), Tau-ps 202 (p < 0.00001) and Tau-ps 404 (p = 0.002), and improved BACE1, APP, AChE, Beclin-1, neuronal apoptosis cells, oxidative stress and inflammation levels. Conclusion: Berberine may be a promising drug for the treatment of AD based on preclinical evidence (especially when the dose was 5-260 mg/kg). The potential mechanisms for these protective effects may be closely related to anti-neuroinflammation, anti-oxidative stress, modulation of autophagy, inhibition of neuronal apoptosis and protection of cholinergic system. However, these results may be limited by the quality of existing research. Larger and methodologically more rigorous preclinical research are needed to provide more convincing evidence.
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Affiliation(s)
- Lijuan Dan
- School of Clinical Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yanwei Hao
- Department of Geriatrics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiaxin Li
- Department of Geriatrics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tianyuan Wang
- Traditional Chinese medicine department, 363 Hospital of Chengdu, Chengdu, China
| | - Weiwei Zhao
- Department of Geriatrics, Xi’an Hospital of Traditional Chinese Medicine, Xi’an, China
| | - Hui Wang
- Department of Geriatrics, Xi’an Hospital of Traditional Chinese Medicine, Xi’an, China
| | - Liyan Qiao
- Department of Geriatrics, Xi’an Hospital of Traditional Chinese Medicine, Xi’an, China
| | - Peijun Xie
- Department of Geriatrics, Xi’an Hospital of Traditional Chinese Medicine, Xi’an, China
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Wagemann O, Li Y, Hassenstab J, Aschenbrenner AJ, McKay NS, Gordon BA, Benzinger TLS, Xiong C, Cruchaga C, Renton AE, Perrin RJ, Berman SB, Chhatwal JP, Farlow MR, Day GS, Ikeuchi T, Jucker M, Lopera F, Mori H, Noble JM, Sánchez-Valle R, Schofield PR, Morris JC, Daniels A, Levin J, Bateman RJ, McDade E, Llibre-Guerra JJ. Investigation of sex differences in mutation carriers of the Dominantly Inherited Alzheimer Network. Alzheimers Dement 2024; 20:47-62. [PMID: 37740921 PMCID: PMC10841236 DOI: 10.1002/alz.13460] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/10/2023] [Accepted: 08/13/2023] [Indexed: 09/25/2023]
Abstract
INTRODUCTION Studies suggest distinct differences in the development, presentation, progression, and response to treatment of Alzheimer's disease (AD) between females and males. We investigated sex differences in cognition, neuroimaging, and fluid biomarkers in dominantly inherited AD (DIAD). METHODS Three hundred twenty-five mutation carriers (55% female) and one hundred eighty-six non-carriers (58% female) of the Dominantly Inherited Alzheimer Network Observational Study were analyzed. Linear mixed models and Spearman's correlation explored cross-sectional sex differences in cognition, cerebrospinal fluid (CSF) biomarkers, Pittsburgh compound B positron emission tomography (11 C-PiB PET) and structural magnetic resonance imaging (MRI). RESULTS Female carriers performed better than males on delayed recall and processing speed despite similar hippocampal volumes. As the disease progressed, symptomatic females revealed higher increases in MRI markers of neurodegeneration and memory impairment. PiB PET and established CSF AD markers revealed no sex differences. DISCUSSION Our findings suggest an initial cognitive reserve in female carriers followed by a pronounced increase in neurodegeneration coupled with worse performance on delayed recall at later stages of DIAD.
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Affiliation(s)
- Olivia Wagemann
- Department of Neurology, Washington University St. Louis, St. Louis, Missouri, USA
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Yan Li
- Department of Biostatistics, Washington University St. Louis, St. Louis, Missouri, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University St. Louis, St. Louis, Missouri, USA
| | | | - Nicole S McKay
- Department of Radiology, Washington University St. Louis, St. Louis, Missouri, USA
| | - Brian A Gordon
- Department of Radiology, Washington University St. Louis, St. Louis, Missouri, USA
| | - Tammie L S Benzinger
- Department of Radiology, Washington University St. Louis, St. Louis, Missouri, USA
| | - Chengjie Xiong
- Department of Biostatistics, Washington University St. Louis, St. Louis, Missouri, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University St. Louis, St. Louis, Missouri, USA
| | - Alan E Renton
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Richard J Perrin
- Department of Neurology, Washington University St. Louis, St. Louis, Missouri, USA
- Department of Pathology and Immunology, Washington University St. Louis, St. Louis, Missouri, USA
| | - Sarah B Berman
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jasmeer P Chhatwal
- Department of Neurology, Massachusetts General and Brigham & Female's Hospitals, Harvard Medical School, Boston, Massachusetts, USA
| | - Martin R Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Gregory S Day
- Department of Neurology, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Mathias Jucker
- Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia (GNA), Universidad de Antioquia, Medellin, Colombia
| | - Hiroshi Mori
- Department of Clinical Neuroscience, Osaka Metropolitan University Medical School, Nagaoka Sutoku University, Osaka, Japan
| | - James M Noble
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Raquel Sánchez-Valle
- Department of Neurology, Hospital Clínic de Barcelona (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - John C Morris
- Department of Neurology, Washington University St. Louis, St. Louis, Missouri, USA
| | - Alisha Daniels
- Department of Neurology, Washington University St. Louis, St. Louis, Missouri, USA
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Randall J Bateman
- Department of Neurology, Washington University St. Louis, St. Louis, Missouri, USA
| | - Eric McDade
- Department of Neurology, Washington University St. Louis, St. Louis, Missouri, USA
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Millar PR, Gordon BA, Wisch JK, Schultz SA, Benzinger TL, Cruchaga C, Hassenstab JJ, Ibanez L, Karch C, Llibre-Guerra JJ, Morris JC, Perrin RJ, Supnet-Bell C, Xiong C, Allegri RF, Berman SB, Chhatwal JP, Chrem Mendez PA, Day GS, Hofmann A, Ikeuchi T, Jucker M, Lee JH, Levin J, Lopera F, Niimi Y, Sánchez-González VJ, Schofield PR, Sosa-Ortiz AL, Vöglein J, Bateman RJ, Ances BM, McDade EM. Advanced structural brain aging in preclinical autosomal dominant Alzheimer disease. Mol Neurodegener 2023; 18:98. [PMID: 38111006 PMCID: PMC10729487 DOI: 10.1186/s13024-023-00688-3] [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: 07/03/2023] [Accepted: 11/28/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND "Brain-predicted age" estimates biological age from complex, nonlinear features in neuroimaging scans. The brain age gap (BAG) between predicted and chronological age is elevated in sporadic Alzheimer disease (AD), but is underexplored in autosomal dominant AD (ADAD), in which AD progression is highly predictable with minimal confounding age-related co-pathology. METHODS We modeled BAG in 257 deeply-phenotyped ADAD mutation-carriers and 179 non-carriers from the Dominantly Inherited Alzheimer Network using minimally-processed structural MRI scans. We then tested whether BAG differed as a function of mutation and cognitive status, or estimated years until symptom onset, and whether it was associated with established markers of amyloid (PiB PET, CSF amyloid-β-42/40), phosphorylated tau (CSF and plasma pTau-181), neurodegeneration (CSF and plasma neurofilament-light-chain [NfL]), and cognition (global neuropsychological composite and CDR-sum of boxes). We compared BAG to other MRI measures, and examined heterogeneity in BAG as a function of ADAD mutation variants, APOE ε4 carrier status, sex, and education. RESULTS Advanced brain aging was observed in mutation-carriers approximately 7 years before expected symptom onset, in line with other established structural indicators of atrophy. BAG was moderately associated with amyloid PET and strongly associated with pTau-181, NfL, and cognition in mutation-carriers. Mutation variants, sex, and years of education contributed to variability in BAG. CONCLUSIONS We extend prior work using BAG from sporadic AD to ADAD, noting consistent results. BAG associates well with markers of pTau, neurodegeneration, and cognition, but to a lesser extent, amyloid, in ADAD. BAG may capture similar signal to established MRI measures. However, BAG offers unique benefits in simplicity of data processing and interpretation. Thus, results in this unique ADAD cohort with few age-related confounds suggest that brain aging attributable to AD neuropathology can be accurately quantified from minimally-processed MRI.
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Affiliation(s)
- Peter R Millar
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA.
| | - Brian A Gordon
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Julie K Wisch
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Stephanie A Schultz
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Tammie Ls Benzinger
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Jason J Hassenstab
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Laura Ibanez
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
- NeuroGenomics & Informatics Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Celeste Karch
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | | | - John C Morris
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Richard J Perrin
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Pathology & Immunology, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Chengjie Xiong
- Department of Biostatistics, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Sarah B Berman
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jasmeer P Chhatwal
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Gregory S Day
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Anna Hofmann
- German Center for Neurodegenerative Diseases (DZNE), 72076, Tübingen, Germany
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, 72076, Tübingen, Germany
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE), 72076, Tübingen, Germany
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, 72076, Tübingen, Germany
| | - Jae-Hong Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Yoshiki Niimi
- Unit for Early and Exploratory Clinical Development, The University of Tokyo Hospital, Bunkyo-Ku, Tokyo, Japan
| | - Victor J Sánchez-González
- Departamento de Clínicas, CUALTOS, Universidad de Guadalajara, Tepatitlán de Morelos, Jalisco, México
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Ana Luisa Sosa-Ortiz
- Instituto Nacional de Neurologia y Neurocirugía MVS, CDMX, Ciudad de México, Mexico
| | - Jonathan Vöglein
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - Randall J Bateman
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Beau M Ances
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Eric M McDade
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
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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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Guo Y, Sun CK, Tang L, Tan MS. Microglia PTK2B/Pyk2 in the Pathogenesis of Alzheimer's Disease. Curr Alzheimer Res 2023; 20:692-704. [PMID: 38321895 DOI: 10.2174/0115672050299004240129051655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 01/16/2024] [Accepted: 01/22/2024] [Indexed: 02/08/2024]
Abstract
Alzheimer's disease (AD) is a highly hereditary disease with complex genetic susceptibility factors. Extensive genome-wide association studies have established a distinct susceptibility link between the protein tyrosine kinase 2β (PTK2B) gene and late-onset Alzheimer's disease (LOAD), but the specific pathogenic mechanisms remain incompletely understood. PTK2B is known to be expressed in neurons, and recent research has revealed its more important significance in microglia. Elucidating the role of PTK2B high expression in microglia in AD's progression is crucial for uncovering novel pathogenic mechanisms of the disease. Our review of existing studies suggests a close relationship between PTK2B/proline-rich tyrosine kinase 2 (Pyk2) and tau pathology, and this process might be β-amyloid (Aβ) dependence. Pyk2 is hypothesized as a pivotal target linking Aβ and tau pathologies. Concurrently, Aβ-activated Pyk2 participates in the regulation of microglial activation and its proinflammatory functions. Consequently, it is reasonable to presume that Pyk2 in microglia contributes to amyloid-induced tau pathology in AD via a neuroinflammatory pathway. Furthermore, many things remain unclear, such as identifying the specific pathways that lead to the release of downstream inflammatory factors due to Pyk2 phosphorylation and whether all types of inflammatory factors can activate neuronal kinase pathways. Additionally, further in vivo experiments are essential to validate this hypothesized pathway. Considering PTK2B/Pyk2's potential role in AD pathogenesis, targeting this pathway may offer innovative and promising therapeutic approaches for AD.
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Affiliation(s)
- Yun Guo
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Cheng-Kun Sun
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Qingdao, China
| | - Lian Tang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Meng-Shan Tan
- School of Clinical Medicine, Weifang Medical University, Weifang, China
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Qingdao, China
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- Department of Neurology, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China
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