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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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Delabar JM, Lagarde J, Fructuoso M, Mohammad A, Bottlaender M, Doran E, Lott I, Rivals I, Schmitt FA, Head E, Sarazin M, Potier MC. Increased plasma DYRK1A with aging may protect against neurodegenerative diseases. Transl Psychiatry 2023; 13:111. [PMID: 37015911 PMCID: PMC10073199 DOI: 10.1038/s41398-023-02419-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 04/06/2023] Open
Abstract
Early markers are needed for more effective prevention of Alzheimer's disease. We previously showed that individuals with Alzheimer's disease have decreased plasma DYRK1A levels compared to controls. We assessed DYRK1A in the plasma of cognitively healthy elderly volunteers, individuals with either Alzheimer's disease (AD), tauopathies or Down syndrome (DS), and in lymphoblastoids from individuals with DS. DYRK1A levels were inversely correlated with brain amyloid β burden in asymptomatic elderly individuals and AD patients. Low DYRK1A levels were also detected in patients with tauopathies. Individuals with DS had higher DYRK1A levels than controls, although levels were lower in individuals with DS and with dementia. These data suggest that plasma DYRK1A levels could be used for early detection of at risk individuals of AD and for early detection of AD. We hypothesize that lack of increase of DYRK1A at middle age (40-50 years) could be a warning before the cognitive decline, reflecting increased risk for AD.
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Affiliation(s)
- Jean M Delabar
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, 75013, France.
| | - Julien Lagarde
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, Paris, 75013, France
- Paris-Saclay University, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, Orsay, 91400, France
| | - Marta Fructuoso
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, 75013, France
| | - Ammara Mohammad
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, 75013, France
| | - Michel Bottlaender
- Paris-Saclay University, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, Orsay, 91400, France
| | - Eric Doran
- School of Medicine, Department of Pediatrics, University of California, Irvine, CA, 92697, USA
| | - Ira Lott
- School of Medicine, Department of Pediatrics, University of California, Irvine, CA, 92697, USA
| | - Isabelle Rivals
- Equipe de Statistique Appliquée, ESPCI Paris, INSERM, UMRS 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, PSL Research University, Paris, 75005, France
| | - Frederic A Schmitt
- Department of Neurology, University of Kentucky, Lexington, KY, 40506, USA
| | - Elizabeth Head
- Department of Neurology, University of Kentucky, Lexington, KY, 40506, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - Marie Sarazin
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, Paris, 75013, France
- Paris-Saclay University, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, Orsay, 91400, France
| | - Marie-Claude Potier
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, 75013, France.
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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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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: 0.5] [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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