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Lee DR, Romero T, Serrano KS, Panlilio M, Rojas-Parra A, Matsuno L, Mendez MF, Willinger C, Reuben DB. Demographics, Symptoms, Psychotropic Use, and Caregiver Distress in Patients With Early vs Late Onset Dementia. Am J Geriatr Psychiatry 2024; 32:944-954. [PMID: 38600005 DOI: 10.1016/j.jagp.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/14/2024] [Accepted: 03/19/2024] [Indexed: 04/12/2024]
Abstract
BACKGROUND Understanding experiences and challenges faced by persons living with Early-Onset Dementia (EOD) compared to individuals diagnosed with Late-Onset Dementia (LOD) is important for the development of targeted interventions. OBJECTIVE Describe differences in sociodemographic, neuropsychiatric behavioral symptoms, caregiver characteristics, and psychotropic use. DESIGN, SETTING, PARTICIPANTS Cross-sectional, retrospective study including 908 UCLA Alzheimer's Dementia Care Program participants (177 with EOD and 731 with LOD). MEASUREMENTS Onset of dementia was determined using age at program enrollment, with EOD defined as age <65 years and LOD defined as age >80 years. Sociodemographic and clinical characteristics were measured once at enrollment. Behavioral symptoms were measured using the Neuropsychiatric Inventory Questionnaire (NPI-Q) severity score and caregiver distress was measured using the NPI-Q distress score. Medications included antipsychotic, antidepressant, benzodiazepines and other hypnotics, antiepileptics, and dementia medications. RESULTS EOD compared to LOD participants were more likely men, college graduates, married, live alone, and have fewer comorbidities. EOD caregivers were more often spouses (56% vs 26%, p <0.01), whereas LOD caregivers were more often children (57% vs 10%, p <0.01). EOD was associated with lower odds of being above the median (worse) NPI-Q severity (adjusted odds ratio [aOR], 0.58; 95% CI 0.35-0.96) and NPI-Q distress scores (aOR, 0.53; 95% CI 0.31-0.88). Psychotropic use did not differ between groups though symptoms were greater for LOD compared to EOD. CONCLUSION Persons with EOD compared to LOD had sociodemographic differences, less health conditions, and fewer neuropsychiatric symptoms. Future policies could prioritize counseling for EOD patients and families, along with programs to support spousal caregivers of persons with EOD.
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Affiliation(s)
- David R Lee
- Multicampus Program in Geriatric Medicine and Gerontology, Division of Geriatrics, David Geffen School of Medicine at UCLA, University of California (DRL, KS, DBR), Los Angeles, CA.
| | - Tahmineh Romero
- Department of Medicine Statistics Core (TR), David Geffen School of Medicine, University of California, Los Angeles, CA
| | - Katherine Sy Serrano
- Multicampus Program in Geriatric Medicine and Gerontology, Division of Geriatrics, David Geffen School of Medicine at UCLA, University of California (DRL, KS, DBR), Los Angeles, CA
| | - Michelle Panlilio
- Department of Medicine (MP, LM, CW), David Geffen School of Medicine, University of California, Los Angeles, CA
| | - Abel Rojas-Parra
- Department of Geriatric Medicine (ARP), Clinica Sierra Vista, Bakersfield, CA
| | - Lauren Matsuno
- Department of Medicine (MP, LM, CW), David Geffen School of Medicine, University of California, Los Angeles, CA
| | - Mario F Mendez
- Department of Neurology, Department of Psychiatry and Behavioral Sciences (MFM), David Geffen School of Medicine, University of California Los Angeles (UCLA), Neurology Service, Neurobehavior Unit, V.A. Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Christine Willinger
- Department of Medicine (MP, LM, CW), David Geffen School of Medicine, University of California, Los Angeles, CA
| | - David B Reuben
- Multicampus Program in Geriatric Medicine and Gerontology, Division of Geriatrics, David Geffen School of Medicine at UCLA, University of California (DRL, KS, DBR), Los Angeles, CA
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Broekman MMTJ, van den Biggelaar I, de Vijlder LS, Lodema C, van der Vegte Y, Groen WG, Sizoo EM. Half a Marathon a Day: Excessive Walking in People With Dementia Living in Long-Term Care Facilities. J Am Med Dir Assoc 2024; 25:104972. [PMID: 38531531 DOI: 10.1016/j.jamda.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 02/14/2024] [Accepted: 02/18/2024] [Indexed: 03/28/2024]
Affiliation(s)
- Mark M T J Broekman
- Lisidunahof, Nursing Home Specialized in (Young-Onset) Dementia, Leusden, the Netherlands
| | - Ilse van den Biggelaar
- Lisidunahof, Nursing Home Specialized in (Young-Onset) Dementia, Leusden, the Netherlands; Department of Medicine for Older People Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Lieke S de Vijlder
- Lisidunahof, Nursing Home Specialized in (Young-Onset) Dementia, Leusden, the Netherlands
| | - Caroline Lodema
- Lisidunahof, Nursing Home Specialized in (Young-Onset) Dementia, Leusden, the Netherlands
| | - Yvonne van der Vegte
- Lisidunahof, Nursing Home Specialized in (Young-Onset) Dementia, Leusden, the Netherlands
| | - Wim G Groen
- Department of Medicine for Older People Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands; Aging & Later Life, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands; Ageing & Vitality, Rehabilitation & Development, Amsterdam Movement Sciences, Amsterdam, the Netherlands
| | - Eefje M Sizoo
- Department of Medicine for Older People Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands; Aging & Later Life, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
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3
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Aerqin Q, Chen XT, Ou YN, Ma YH, Zhang YR, Hu HY, Tan L, Yu JT. Associations between multimorbidity burden and Alzheimer's pathology in older adults without dementia: the CABLE study. Neurobiol Aging 2024; 134:1-8. [PMID: 37950963 DOI: 10.1016/j.neurobiolaging.2023.09.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 09/18/2023] [Accepted: 09/22/2023] [Indexed: 11/13/2023]
Abstract
Studies have shown that multimorbidity may be associated with the Alzheimer's disease (AD) stages, but it has not been fully characterized in patients without dementia. A total of 1402 Han Chinese older adults without dementia from Chinese Alzheimer's Biomarker and LifestylE (CABLE) study were included and grouped according to their multimorbidity patterns, defined by the number of chronic disorders and cluster analysis. Multivariable linear regression models were used to detect the associations with AD-related cerebrospinal fluid (CSF) biomarkers. Multimorbidity and severe multimorbidity (≥4 chronic conditions) were significantly associated with CSF amyloid and tau levels (pFDR < 0.05). Metabolic patterns were significantly associated with higher levels of CSF Aβ40 (β = 0.159, pFDR = 0.036) and tau (P-tau: β = 0.132, pFDR = 0.035; T-tau: β = 0.126, pFDR = 0.035). The above associations were only significant in the cognitively normal (CN) group. Multimorbidity was associated with brain AD pathology before any symptomatic evidence of cognitive impairment. Identifying such high-risk groups might allow tailored interventions for AD prevention.
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Affiliation(s)
- Qiaolifan Aerqin
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao-Tong Chen
- Department of Rheumatology and Immunology, The First Hospital of China Medical University, Shenyang, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - He-Ying Hu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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4
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Heikkinen AL, Paajanen TI, Hänninen T, Tikkanen V, Hublin C, Koivisto AM, Remes AM, Krüger J. Neuropsychological Profiles, Etiologies, and Medical Comorbidities in Early-Onset Dementia and Cognitive Impairment: A Memory Outpatient Clinic Cohort Study. J Alzheimers Dis 2024; 97:1765-1776. [PMID: 38306037 DOI: 10.3233/jad-230877] [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: 02/03/2024]
Abstract
Background Although early-onset dementia (EOD) is associated with diagnostic challenges that differ from those of related to late-onset dementia, only limited studies have addressed the neuropsychological and health characteristics or specified the diagnoses underlying early-onset cognitive impairment in a real-world clinical setting. Objective To investigate the neuropsychological profiles, etiologies, and comorbidities of an unselected cohort of memory clinic patients (≤65 years at symptom onset). Methods The patients' (n = 210) diagnoses were determined based on comprehensive diagnostic workup. Medical comorbidities and neuropsychological profiles were compared between clinically relevant patient groups, namely early-onset dementia (n = 55), mild cognitive impairment due to vascular or suspected neurodegenerative (MCI-n, n = 35) or non-neurodegenerative (MCI-o, n = 106) etiologies, and subjective cognitive decline (n = 14). Results The most prevalent diagnoses were Alzheimer's disease (AD, 14%) and depression (11%). Multiple prior medical conditions were common (67%); however, EOD patients had fewer other diagnoses (p = 0.008) than MCI-o patients. Compared to other groups, EOD patients had more severe deficits (p < 0.001) on immediate and delayed memory, processing speed, symptom awareness, and global cognition. AD patients had weaker memory retention ability but less behavioral symptoms than frontotemporal dementia (FTD) patients (p≤0.05). Depression was associated with better immediate memory, symptom awareness, and global cognition than AD and FTD (p < 0.05). Conclusions EOD is associated with more severe and widespread neuropsychological deficits but fewer prior medical diagnoses than nondegenerative etiologies of cognitive impairment. AD and depression are common etiologies and the neuropsychological profiles are partly overlapping; however, memory, symptom awareness and global cognitive impairment measures may help in the differential diagnosis.
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Affiliation(s)
- Anna-Leena Heikkinen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Teemu I Paajanen
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Tuomo Hänninen
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Veera Tikkanen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
| | - Christer Hublin
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Anne M Koivisto
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Geriatrics, Helsinki University Hospital, Helsinki, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Anne M Remes
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Johanna Krüger
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
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5
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Kovalenko EA, Makhnovich EV, Bogolepova AN, Osinovskaya NA, Beregov MM. [Features of the clinical and neuroimaging picture in patients with early-onset Alzheimer's disease]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:56-63. [PMID: 38696152 DOI: 10.17116/jnevro202412404256] [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: 06/27/2024]
Abstract
The most common cause of severe cognitive impairment in adults is Alzheimer's disease (AD). Depending on the age of onset, AD is divided into early (<65 years) and late (≥65 years) forms. Early-onset AD (EOAD) is significantly less common than later-onset AD (LOAD) and accounts for only about 5-10% of cases. However, its medical and social significance, as a disease leading to loss of ability to work and legal capacity, as well as premature death in patients aged 40-64 years, is extremely high. Patients with EOAD compared with LOAD have a greater number of atypical clinical variants - 25% and 6-12.5%, respectively, which complicates the differential diagnosis of EOAD with other neurodegenerative diseases. However, the typical classical amnestic variant predominates in both EOAD and LOAD. Also, patients with EOAD have peculiarities according to neuroimaging data: when performing MRI of the brain, patients with EOAD often have more pronounced parietal atrophy and less pronounced hippocampal atrophy compared to patients with LOAD. The article pays attention to the features of the clinical and neuroimaging data in patients with EOAD; a case of a patient with EOAD is presented.
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Affiliation(s)
- E A Kovalenko
- Pirogov Russian National Research Medical University, Moscow, Russia
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
| | - E V Makhnovich
- Pirogov Russian National Research Medical University, Moscow, Russia
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
| | - A N Bogolepova
- Pirogov Russian National Research Medical University, Moscow, Russia
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
| | - N A Osinovskaya
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
| | - M M Beregov
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
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6
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Maters J, van der Steen JT, de Vugt ME, Bakker C, Koopmans RT. Palliative Care in Nursing Home Residents with Young-Onset Dementia: Professional and Family Caregiver Perspectives. J Alzheimers Dis 2024; 97:573-586. [PMID: 38217594 PMCID: PMC10836558 DOI: 10.3233/jad-230486] [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] [Accepted: 11/01/2023] [Indexed: 01/15/2024]
Abstract
BACKGROUND The evidence underpinning palliative care in dementia is mostly based on research in older populations. Little is known about the palliative care needs of people with young-onset dementia (YOD). OBJECTIVE To describe palliative care practices including advance care planning (ACP) in people with YOD residing in Dutch nursing homes. METHODS The study presents baseline questionnaire data from an observational cohort study. Physicians, family caregivers, and nursing staff completed questionnaires about 185 residents with YOD. The questionnaires included items on sociodemographics, quality of life measured with the quality of life in late-stage dementia (QUALID) scale, dementia-related somatic health problems, symptoms, pain medication, psychotropic drugs, and ACP. RESULTS The mean age was 63.9 (SD 5.8) years. Half (50.3%) of them were female. Alzheimer's disease dementia (42.2%) was the most prevalent subtype. The mean QUALID score was 24.0 (SD 7.9) as assessed by family caregivers, and 25.3 (SD 8.6) as assessed by the nursing staff. Swallowing problems were the most prevalent dementia-related health problem (11.4%). Agitation was often reported by physicians (42.0%) and nursing staff (40.5%). Psychotropics were prescribed frequently (72.3%). A minority had written advance directives (5.4%) or documentation on treatment preferences by the former general practitioner (27.2%). Global care goals most often focused on comfort (73.9%). Proportions of do-not-treat orders were higher than do-treat orders for all interventions except for hospitalization and antibiotics. CONCLUSIONS ACP must be initiated earlier, before nursing home admission. A palliative approach seems appropriate even though residents are relatively young and experience few dementia-related health problems.
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Affiliation(s)
- Jasper Maters
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboudumc Alzheimer Center, Nijmegen, the Netherlands
| | - Jenny T. van der Steen
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboudumc Alzheimer Center, Nijmegen, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Marjolein E. de Vugt
- School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Christian Bakker
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboudumc Alzheimer Center, Nijmegen, the Netherlands
- Groenhuysen, Center for Geriatric Care, Roosendaal, the Netherlands
| | - Raymond T.C.M. Koopmans
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboudumc Alzheimer Center, Nijmegen, the Netherlands
- Joachim en Anna, Center for Specialized Geriatric Care, Nijmegen, the Netherlands
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7
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Hammers DB, Eloyan A, Taurone A, Thangarajah M, Beckett L, Gao S, Kirby K, Aisen P, Dage JL, Foroud T, Griffin P, Grinberg LT, Jack CR, Kramer J, Koeppe R, Kukull WA, Mundada NS, Joie RL, Soleimani-Meigooni DN, Iaccarino L, Murray ME, Nudelman K, Polsinelli AJ, Rumbaugh M, Toga A, Touroutoglou A, Vemuri P, Atri A, Day GS, Duara R, Graff-Radford NR, Honig LS, Jones DT, Masdeu J, Mendez MF, Womack K, Musiek E, Onyike CU, Riddle M, Rogalski E, Salloway S, Sha SJ, Turner RS, Wingo TS, Wolk DA, Carrillo MC, Dickerson BC, Rabinovici GD, Apostolova LG. Profiling baseline performance on the Longitudinal Early-Onset Alzheimer's Disease Study (LEADS) cohort near the midpoint of data collection. Alzheimers Dement 2023; 19 Suppl 9:S8-S18. [PMID: 37256497 PMCID: PMC10806768 DOI: 10.1002/alz.13160] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 06/01/2023]
Abstract
OBJECTIVE The Longitudinal Early-Onset Alzheimer's Disease Study (LEADS) seeks to provide comprehensive understanding of early-onset Alzheimer's disease (EOAD; onset <65 years), with the current study profiling baseline clinical, cognitive, biomarker, and genetic characteristics of the cohort nearing the data-collection mid-point. METHODS Data from 371 LEADS participants were compared based on diagnostic group classification (cognitively normal [n = 89], amyloid-positive EOAD [n = 212], and amyloid-negative early-onset non-Alzheimer's disease [EOnonAD; n = 70]). RESULTS Cognitive performance was worse for EOAD than other groups, and EOAD participants were apolipoprotein E (APOE) ε4 homozygotes at higher rates. An amnestic presentation was common among impaired participants (81%), with several clinical phenotypes present. LEADS participants generally consented at high rates to optional trial procedures. CONCLUSIONS We present the most comprehensive baseline characterization of sporadic EOAD in the United States to date. EOAD presents with widespread cognitive impairment within and across clinical phenotypes, with differences in APOE ε4 allele carrier status appearing to be relevant. HIGHLIGHTS Findings represent the most comprehensive baseline characterization of sporadic early-onset Alzheimer's disease (EOAD) to date. Cognitive impairment was widespread for EOAD participants and more severe than other groups. EOAD participants were homozygous apolipoprotein E (APOE) ε4 carriers at higher rates than the EOnonAD group. Amnestic presentation predominated in EOAD and EOnonAD participants, but other clinical phenotypes were present.
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Affiliation(s)
- Dustin B. Hammers
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Ani Eloyan
- Department of Biostatistics, Center for Statistical Sciences, Brown University, Providence, Rhode Island, USA
| | - Alexander Taurone
- Department of Biostatistics, Center for Statistical Sciences, Brown University, Providence, Rhode Island, USA
| | - Maryanne Thangarajah
- Department of Biostatistics, Center for Statistical Sciences, Brown University, Providence, Rhode Island, USA
| | - Laurel Beckett
- Department of Public Health Sciences, University of California – Davis, Davis, California, USA
| | - Sujuan Gao
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Kala Kirby
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Paul Aisen
- Alzheimer’s Therapeutic Research Institute, University of Southern California, San Diego, California, USA
| | - Jeffrey L. Dage
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Percy Griffin
- Medical & Scientific Relations Division, Alzheimer’s Association, Chicago, Illinois, USA
| | - Lea T. Grinberg
- Department of Pathology, University of California – San Francisco, San Francisco, California, USA
- Department of Neurology, University of California – San Francisco, San Francisco, California, USA
| | | | - Joel Kramer
- Department of Neurology, University of California – San Francisco, San Francisco, California, USA
| | - Robert Koeppe
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Walter A. Kukull
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Nidhi S Mundada
- Department of Neurology, University of California – San Francisco, San Francisco, California, USA
| | - Renaud La Joie
- Department of Neurology, University of California – San Francisco, San Francisco, California, USA
| | | | - Leonardo Iaccarino
- Department of Neurology, University of California – San Francisco, San Francisco, California, USA
| | | | - Kelly Nudelman
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Angelina J. Polsinelli
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Malia Rumbaugh
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Arthur Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles, California, USA
| | - Alexandra Touroutoglou
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | | | - Alireza Atri
- Banner Sun Health Research Institute, Sun City, Arizona, USA
| | - Gregory S. Day
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Ranjan Duara
- Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center, Miami, Florida, USA
| | | | - Lawrence S. Honig
- Taub Institute and Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - David T. Jones
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joseph Masdeu
- Nantz National Alzheimer Center, Houston Methodist and Weill Cornell Medicine, Houston, Texas, USA
| | - Mario F. Mendez
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Kyle Womack
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Erik Musiek
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Chiadi U. Onyike
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Meghan Riddle
- Department of Neurology, Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Emily Rogalski
- Department of Psychiatry and Behavioral Sciences, Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Steven Salloway
- Department of Neurology, Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Sharon J. Sha
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, California, USA
| | | | - Thomas S. Wingo
- Department of Neurology and Human Genetics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - David A. Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Maria C. Carrillo
- Medical & Scientific Relations Division, Alzheimer’s Association, Chicago, Illinois, USA
| | - Bradford C. Dickerson
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Gil D. Rabinovici
- Department of Neurology, University of California – San Francisco, San Francisco, California, USA
| | - Liana G. Apostolova
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine Indianapolis, Indianapolis, Indiana, USA
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Valdez-Gaxiola CA, Maciel-Cruz EJ, Hernández-Peña R, Dumois-Petersen S, Rosales-Leycegui F, Gallegos-Arreola MP, Moreno-Ortiz JM, Figuera LE. Potential Modifying Effect of the APOEε4 Allele on Age of Onset and Clinical Manifestations in Patients with Early-Onset Alzheimer's Disease with and without a Pathogenic Variant in PSEN1 in a Sample of the Mexican Population. Int J Mol Sci 2023; 24:15687. [PMID: 37958671 PMCID: PMC10648484 DOI: 10.3390/ijms242115687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/01/2023] [Accepted: 09/23/2023] [Indexed: 11/15/2023] Open
Abstract
In Alzheimer's disease (AD), the age of onset (AoO) exhibits considerable variability, spanning from 40 to 90 years. Specifically, individuals diagnosed with AD and exhibiting symptoms prior to the age of 65 are typically classified as early onset (EOAD) cases. Notably, the apolipoprotein E (APOE) ε4 allele represents the most extensively studied genetic risk factor associated with AD. We clinically characterized and genotyped the APOEε4 allele from 101 individuals with a diagnosis of EOAD, and 69 of them were affected carriers of the autosomal dominant fully penetrant PSEN1 variant c.1292C>A (rs63750083, A431E) (PSEN1+ group), while there were 32 patients in which the genetic cause was unknown (PSEN1- group). We found a correlation between the AoO and the APOEε4 allele; patients carrying at least one APOEε4 allele showed delays, in AoO in patients in the PSEN1+ and PSEN1- groups, of 3.9 (p = 0.001) and 8.6 years (p = 0.012), respectively. The PSEN1+ group presented higher frequencies of gait disorders compared to PSEN1- group, and apraxia was more frequent with PSEN1+/APOE4+ than in the rest of the subgroup. This study shows what appears to be an inverse effect of APOEε4 in EOAD patients, as it delays AoO and modifies clinical manifestations.
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Affiliation(s)
- César A. Valdez-Gaxiola
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (E.J.M.-C.); (R.H.-P.); (S.D.-P.); (F.R.-L.); (M.P.G.-A.)
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico;
| | - Eric Jonathan Maciel-Cruz
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (E.J.M.-C.); (R.H.-P.); (S.D.-P.); (F.R.-L.); (M.P.G.-A.)
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico;
| | - Rubiceli Hernández-Peña
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (E.J.M.-C.); (R.H.-P.); (S.D.-P.); (F.R.-L.); (M.P.G.-A.)
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico;
| | - Sofía Dumois-Petersen
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (E.J.M.-C.); (R.H.-P.); (S.D.-P.); (F.R.-L.); (M.P.G.-A.)
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico;
| | - Frida Rosales-Leycegui
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (E.J.M.-C.); (R.H.-P.); (S.D.-P.); (F.R.-L.); (M.P.G.-A.)
- Maestría en Ciencias del Comportamiento, Instituto de Neurociencias, Centro Universitario de Ciencias Biológicas y Agropecuarias, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | - Martha Patricia Gallegos-Arreola
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (E.J.M.-C.); (R.H.-P.); (S.D.-P.); (F.R.-L.); (M.P.G.-A.)
| | - José Miguel Moreno-Ortiz
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico;
- Instituto de Genética Humana “Dr. Enrique Corona Rivera”, Departamento de Biología Molecular y Genómica, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | - Luis E. Figuera
- División de Genética, Centro de Investigación Biomédica de Occidente, IMSS, Guadalajara 44340, Jalisco, Mexico; (C.A.V.-G.); (E.J.M.-C.); (R.H.-P.); (S.D.-P.); (F.R.-L.); (M.P.G.-A.)
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico;
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Cations M. A devastating loss: driving cessation due to young onset dementia. Age Ageing 2023; 52:afad174. [PMID: 37725970 DOI: 10.1093/ageing/afad174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023] Open
Affiliation(s)
- Monica Cations
- College of Education, Psychology and Social Work, Flinders University, Sturt Road Bedford Park, Adelaide 5042, Australia
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10
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Seath P, Macedo-Orrego LE, Velayudhan L. Clinical characteristics of early-onset versus late-onset Alzheimer's disease: a systematic review and meta-analysis. Int Psychogeriatr 2023:1-17. [PMID: 37431284 DOI: 10.1017/s1041610223000509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
OBJECTIVES A number of studies have compared Alzheimer's disease (AD), the commonest form of dementia, based on their age of onset, i.e. before the age of 65 years (early-onset AD, EO-AD) to those developing after 65 years of age (late-onset AD, LO-AD), but the differences are not clear. We performed a systematic review and meta-analysis to compare clinical characteristics between EO-AD and LO-AD. DESIGN, MEASUREMENTS, AND PARTICIPANTS Medline, Embase, PsycINFO, and CINAHL databases were systematically searched for studies comparing time to diagnosis, cognitive scores, annual cognitive decline, activities of daily living (ADLs), neuropsychiatric symptoms (NPS), quality of life (QoL), and survival time for EO-AD and LO-AD patients. RESULTS Forty-two studies were included (EO-AD participants n = 5,544; LO-AD participants n = 16,042). An inverse variance method with random effects models was used to calculate overall effect estimates for each outcome. People with EO-AD had significantly poorer baseline cognitive performance and faster cognitive decline but longer survival times than people with LO-AD. There was no evidence that EO-AD patients differ from people with LO-AD in terms of symptom onset to diagnosis time, ADLs, and NPS. There were insufficient data to estimate overall effects of differences in QoL in EO-AD compared to LO-AD. CONCLUSIONS Our findings suggest that EO-AD differs from LO-AD in baseline cognition, cognitive decline, and survival time but otherwise has similar clinical characteristics to LO-AD. Larger studies using standardized questionnaires focusing on the clinical presentations are needed to better understand the impact of age of onset in AD.
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Affiliation(s)
- Paige Seath
- Academic Psychiatry Division, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Luis Enrique Macedo-Orrego
- Departamento de Psiquiatría, Universidad Nacional Mayor de San Marcos, Lima, Peru
- Departamento de atencion especializada de adultos mayores, Instituto Nacional de Salud Mental, Lima, Peru
| | - Latha Velayudhan
- Academic Psychiatry Division, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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11
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Xiong C, McCue LM, Buckles V, Grant E, Agboola F, Coble D, Bateman RJ, Fagan AM, Benzinger TL, Hassenstab J, Schindler SE, McDade E, Moulder K, Gordon BA, Cruchaga C, Day GS, Ikeuchi T, Suzuki K, Allegri RF, Vöglein J, Levin J, Morris JC. Cross-sectional and longitudinal comparisons of biomarkers and cognition among asymptomatic middle-aged individuals with a parental history of either autosomal dominant or late-onset Alzheimer's disease. Alzheimers Dement 2023; 19:2923-2932. [PMID: 36640138 PMCID: PMC10345163 DOI: 10.1002/alz.12912] [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: 05/05/2022] [Revised: 11/21/2022] [Accepted: 11/23/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND Comparisons of late-onset Alzheimer's disease (LOAD) and autosomal dominant AD (ADAD) are confounded by age. METHODS We compared biomarkers from cerebrospinal fluid (CSF), magnetic resonance imaging, and amyloid imaging with Pittsburgh Compound-B (PiB) across four groups of 387 cognitively normal participants, 42 to 65 years of age, in the Dominantly Inherited Alzheimer Network (DIAN) and the Adult Children Study (ACS) of LOAD: DIAN mutation carriers (MCs) and non-carriers (NON-MCs), and ACS participants with a positive (FH+) and negative (FH-) family history of LOAD. RESULTS At baseline, MCs had the lowest age-adjusted level of CSF Aβ42 and the highest levels of total and phosphorylated tau-181, and PiB uptake. Longitudinally, MC had similar increase in PiB uptake to FH+, but drastically faster decline in hippocampal volume than others, and was the only group showing cognitive decline. DISCUSSION Preclinical ADAD and LOAD share many biomarker signatures, but cross-sectional and longitudinal differences may exist.
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Affiliation(s)
- Chengjie Xiong
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Lena M. McCue
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Virginia Buckles
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Elizabeth Grant
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Folasade Agboola
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Dean Coble
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Randall J. Bateman
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Anne M Fagan
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Tammie L.S. Benzinger
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Radiology, Washington University, St. Louis, Missouri, USA
- Department of Neurological Surgery, Washington University, St. Louis, Missouri, USA
| | - Jason Hassenstab
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
- Department of Psychology, Washington University, St. Louis, Missouri, USA
| | - Suzanne E. Schindler
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Eric McDade
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Krista Moulder
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Brian A. Gordon
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Psychology, Washington University, St. Louis, Missouri, USA
- Department of Radiology, Washington University, St. Louis, Missouri, USA
| | - Carlos Cruchaga
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- Department of Psychiatry, Washington University, St. Louis, Missouri, USA
| | - Gregory S. Day
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, FL, USA
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, JAPAN
| | | | | | - Jonathan Vöglein
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - 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
| | - John C. Morris
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
- Department of Pathology and Immunology, Washington University, St. Louis, Missouri, USA
- Department of Physical Therapy, Washington University, St. Louis, Missouri, USA
- Department of Occupational Therapy, Washington University, St. Louis, Missouri, USA
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12
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Beason-Held LL, Kerley CI, Chaganti S, Moghekar A, Thambisetty M, Ferrucci L, Resnick SM, Landman BA. Health Conditions Associated with Alzheimer's Disease and Vascular Dementia. Ann Neurol 2023; 93:805-818. [PMID: 36571386 DOI: 10.1002/ana.26584] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 12/15/2022] [Accepted: 12/17/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVE We examined medical records to determine health conditions associated with dementia at varied intervals prior to dementia diagnosis in participants from the Baltimore Longitudinal Study of Aging (BLSA). METHODS Data were available for 347 Alzheimer's disease (AD), 76 vascular dementia (VaD), and 811 control participants without dementia. Logistic regressions were performed associating International Classification of Diseases, 9th Revision (ICD-9) health codes with dementia status across all time points, at 5 and 1 year(s) prior to dementia diagnosis, and at the year of diagnosis, controlling for age, sex, and follow-up length of the medical record. RESULTS In AD, the earliest and most consistent associations across all time points included depression, erectile dysfunction, gait abnormalities, hearing loss, and nervous and musculoskeletal symptoms. Cardiomegaly, urinary incontinence, non-epithelial skin cancer, and pneumonia were not significant until 1 year before dementia diagnosis. In VaD, the earliest and most consistent associations across all time points included abnormal electrocardiogram (EKG), cardiac dysrhythmias, cerebrovascular disease, non-epithelial skin cancer, depression, and hearing loss. Atrial fibrillation, occlusion of cerebral arteries, essential tremor, and abnormal reflexes were not significant until 1 year before dementia diagnosis. INTERPRETATION These findings suggest that some health conditions are associated with future dementia beginning at least 5 years before dementia diagnosis and are consistently seen over time, while others only reach significance closer to the date of diagnosis. These results also show that there are both shared and distinctive health conditions associated with AD and VaD. These results reinforce the need for medical intervention and treatment to lessen the impact of health comorbidities in the aging population. ANN NEUROL 2023;93:805-818.
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Affiliation(s)
- Lori L Beason-Held
- National Institute on Aging Intramural Research Program, Baltimore, Maryland, USA
| | - Cailey I Kerley
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Shikha Chaganti
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Madhav Thambisetty
- National Institute on Aging Intramural Research Program, Baltimore, Maryland, USA
| | - Luigi Ferrucci
- National Institute on Aging Intramural Research Program, Baltimore, Maryland, USA
| | - Susan M Resnick
- National Institute on Aging Intramural Research Program, Baltimore, Maryland, USA
| | - Bennett A Landman
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA
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Beason-Held LL. Aging, Health, and the Development of Neuropathology and Dementia: It's Complicated. Neurology 2023; 100:57-58. [PMID: 36302661 DOI: 10.1212/wnl.0000000000201540] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 09/23/2022] [Indexed: 02/05/2023] Open
Affiliation(s)
- Lori L Beason-Held
- From the Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore.
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14
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Li RY, Qin Q, Yang HC, Wang YY, Mi YX, Yin YS, Wang M, Yu CJ, Tang Y. TREM2 in the pathogenesis of AD: a lipid metabolism regulator and potential metabolic therapeutic target. Mol Neurodegener 2022; 17:40. [PMID: 35658903 PMCID: PMC9166437 DOI: 10.1186/s13024-022-00542-y] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 05/09/2022] [Indexed: 12/13/2022] Open
Abstract
Triggering receptor expressed on myeloid cells 2 (TREM2) is a single-pass transmembrane immune receptor that is mainly expressed on microglia in the brain and macrophages in the periphery. Recent studies have identified TREM2 as a risk factor for Alzheimer’s disease (AD). Increasing evidence has shown that TREM2 can affect lipid metabolism both in the central nervous system (CNS) and in the periphery. In the CNS, TREM2 affects the metabolism of cholesterol, myelin, and phospholipids and promotes the transition of microglia into a disease-associated phenotype. In the periphery, TREM2 influences lipid metabolism by regulating the onset and progression of obesity and its complications, such as hypercholesterolemia, atherosclerosis, and nonalcoholic fatty liver disease. All these altered lipid metabolism processes could influence the pathogenesis of AD through several means, including affecting inflammation, insulin resistance, and AD pathologies. Herein, we will discuss a potential pathway that TREM2 mediates lipid metabolism to influence the pathogenesis of AD in both the CNS and periphery. Moreover, we discuss the possibility that TREM2 may be a key factor that links central and peripheral lipid metabolism under disease conditions, including AD. This link may be due to impacts on the integrity of the blood–brain barrier, and we introduce potential pathways by which TREM2 affects the blood–brain barrier. Moreover, we discuss the role of lipids in TREM2-associated treatments for AD. We propose some potential therapies targeting TREM2 and discuss the prospect and limitations of these therapies.
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Affiliation(s)
- Rui-Yang Li
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Qi Qin
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Han-Chen Yang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Ying-Ying Wang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Ying-Xin Mi
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Yun-Si Yin
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Meng Wang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Chao-Ji Yu
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Yi Tang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China.
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15
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García-Martín V, de Hoyos-Alonso MC, Ariza-Cardiel G, Delgado-Puebla R, García-Domingo P, Hernández-Melo E, de Haro-de Torres JL, del Cura-González I. Neuropsychiatric symptoms and subsyndromes in patients with different stages of dementia in primary care follow-up (NeDEM project): a cross-sectional study. BMC Geriatr 2022; 22:71. [PMID: 35065615 PMCID: PMC8783993 DOI: 10.1186/s12877-022-02762-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 12/24/2021] [Indexed: 02/08/2023] Open
Abstract
Abstract
Background
The objective was to describe the prevalence and intensity of neuropsychiatric symptoms (NPSs) isolated and grouped into subsyndromes in patients with dementia in primary care (PC) to analyse their distribution based on stages of dementia and the relationship between them and the intensity of symptoms.
Methods
Design: Cross-sectional study. Setting and population: Patients with dementia, not institutionalized, in a PC follow-up. Variables: Sociodemographic and clinical variables. Assessment instruments: The frequency and intensity of NPSs were measured with the Neuropsychiatric Inventory (NPI), and the stages of dementia with the Global Deterioration Scale (GDS). Statistical analysis: The number of NPSs per patient, the mean NPI value, and the prevalence and intensity of NPSs isolated and grouped into subsyndromes were calculated, as were their 95% confidence intervals (CIs). The analyses were performed on an overall basis and by GDS scores. To analyse the association between the NPI and GDS scores, multivariate analysis was performed with a generalized linear model.
Results
Overall, 98.4% (95% CI 94.5;99.8) of the patients presented some type of NPS, with an average of five symptoms per patient. The most frequent symptoms were apathy [69.8% (95% CI 61.1;77.5)], agitation [55.8% (95% CI 46.8;64.5)] and irritability [48.8% (95% CI 39.9;57.8)]. The more intense NPSs were apathy [NPI 3.2 (95% CI 2.5;3.8)] and agitation [NPI 3.2 (95% CI 2.5;4.0)]. For subsyndromes, hyperactivity predominated [86.0% (95% CI 78.8;91.5)], followed by apathy [77.5% (95% CI 69.3;84.4]). By phase of dementia, the most common isolated symptom was apathy (60.7–75.0%). Affective symptoms and irritability predominated in the initial stages, and psychotic symptoms predominated in advanced stages. The mean NPI score was 24.9 (95% CI 21.5;28.4) and increased from 15.6 (95% CI 8.2;23.1) for GDS 3 to 28.9 (95% CI 12.6;45.1) for GDS 7. Patients with in the most advanced stages of dementia presented an NPI score 7.6 (95% CI 6.8;8.3) points higher than the score for mild dementia with adjustment for the other variables.
Conclusions
A high prevalence of NPSs was found among patients with dementia treated in PC. Symptoms change and increase in intensity as the disease progresses. Scales such as the NPI allow these symptoms to be identified, which may facilitate more stage-appropriate management.
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Differential associations between neocortical tau pathology and blood flow with cognitive deficits in early-onset vs late-onset Alzheimer's disease. Eur J Nucl Med Mol Imaging 2022; 49:1951-1963. [PMID: 34997294 PMCID: PMC9016024 DOI: 10.1007/s00259-021-05669-6] [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: 08/17/2021] [Accepted: 12/20/2021] [Indexed: 12/23/2022]
Abstract
Purpose Early-onset Alzheimer’s disease (EOAD) and late-onset Alzheimer’s disease (LOAD) differ in neuropathological burden and type of cognitive deficits. Assessing tau pathology and relative cerebral blood flow (rCBF) measured with [18F]flortaucipir PET in relation to cognition may help explain these differences between EOAD and LOAD. Methods Seventy-nine amyloid-positive individuals with a clinical diagnosis of AD (EOAD: n = 35, age-at-PET = 59 ± 5, MMSE = 23 ± 4; LOAD: n = 44, age-at-PET = 71 ± 5, MMSE = 23 ± 4) underwent a 130-min dynamic [18F]flortaucipir PET scan and extensive neuropsychological assessment. We extracted binding potentials (BPND) and R1 (proxy of rCBF) from parametric images using receptor parametric mapping, in medial and lateral temporal, parietal, occipital, and frontal regions-of-interest and used nine neuropsychological tests covering memory, attention, language, and executive functioning. We first examined differences between EOAD and LOAD in BPND or R1 using ANOVA (region-of-interest analysis) and voxel-wise contrasts. Next, we performed linear regression models to test for potential interaction effects between age-at-onset and BPND/R1 on cognition. Results Both region-of-interest and voxel-wise contrasts showed higher [18F]flortaucipir BPND values across all neocortical regions in EOAD. By contrast, LOAD patients had lower R1 values (indicative of more reduced rCBF) in medial temporal regions. For both tau and flow in lateral temporal, and occipitoparietal regions, associations with cognitive impairment were stronger in EOAD than in LOAD (EOAD BPND − 0.76 ≤ stβ ≤ − 0.48 vs LOAD − 0.18 ≤ stβ ≤ − 0.02; EOAD R1 0.37 ≤ stβ ≤ 0.84 vs LOAD − 0.25 ≤ stβ ≤ 0.16). Conclusions Compared to LOAD, the degree of lateral temporal and occipitoparietal tau pathology and relative cerebral blood-flow is more strongly associated with cognition in EOAD. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05669-6.
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Dunn R, Clayton E, Wolverson E, Hilton A. Conceptualising comorbidity and multimorbidity in dementia: A scoping review and syndemic framework. JOURNAL OF MULTIMORBIDITY AND COMORBIDITY 2022; 12:26335565221128432. [PMID: 36187908 PMCID: PMC9520180 DOI: 10.1177/26335565221128432] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Background Older people and people with dementia experience a high prevalence of multiple health conditions. The terms ‘comorbidity’ and ‘multimorbidity’ are often used interchangeably to describe this, however there are key conceptual differences between these terms and their definitions. This has led to issues in the validity and comparability of research findings, potentially inappropriate intervention development and differences in quality of health care. Objective To review how the terms ‘comorbidity’ and ‘multimorbidity’ are defined within peer-reviewed dementia research and propose an operational framework. Design A scoping review of definitions within dementia research was carried out. Searches took place across five databases: Academic Search Premier, CINAHL Complete, MEDLINE, PsycARTICLES and PsycINFO. PRISMA-ScR guidelines were followed. Results Content analysis revealed five key themes, showing significant overlap and inconsistencies from both within, and between, the comorbidity and multimorbidity definitions; 1. Number of conditions; 2. Type of health conditions; 3. The co-occurrence of conditions; 4. The inclusion of an index disease (or not); 5. Use of medical language. The analysis also revealed gaps in how the underlying concepts of the definitions relate to people with dementia living with multiple health conditions. Conclusion This scoping review found that current definitions of comorbidity and multimorbidity are heterogeneous, reductionist and disease-focussed. Recommendations are made on the design of research studies including transparency and consistency of any terms and definitions used. A syndemic framework could be a useful tool for researchers, clinicians and policy makers to consider a more holistic picture of a person with dementia’s health and wellbeing.
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Martersteck A, Sridhar J, Coventry C, Weintraub S, Mesulam MM, Rogalski E. Relationships among tau burden, atrophy, age, and naming in the aphasic variant of Alzheimer's disease. Alzheimers Dement 2021; 17:1788-1797. [PMID: 34494711 DOI: 10.1002/alz.12445] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 07/12/2021] [Accepted: 07/14/2021] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Examination of pathologic, anatomic, and cognitive relationships has been limited in primary progressive aphasia (PPA) with underlying Alzheimer's disease (AD) neuropathology. METHODS Spatial relationships between tau positron emission tomography (PET), cortical thickness, age, and naming on the Boston Naming Test (BNT) in PPA with biomarker evidence of AD (PPA-AD) were examined. RESULTS Higher tau PET burden was associated with atrophy and younger age. There was a significant left-lateralized relationship between lower BNT and more atrophy, and between lower BNT and increased tau burden. Variance in naming was primarily shared between tau and atrophy (51%), but naming was uniquely explained more by atrophy (32%) than tau (16%). Higher left anterior temporal tau burden was associated with greater 1-year rate of decline in naming. DISCUSSION PPA-AD has a similar relationship between abnormal biomarkers as first described in amnestic AD, with differing spatial extent, reflecting the left-lateralized nature of the language network.
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Affiliation(s)
- Adam Martersteck
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Radiology, Chicago, Illinois, USA
| | - Jaiashre Sridhar
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA
| | - Christina Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, Chicago, Illinois, USA
| | - M-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Neurology, Chicago, Illinois, USA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, Chicago, Illinois, USA
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Xu X, Du L, Jiang J, Yang M, Wang Z, Wang Y, Tang T, Fu X, Hao J. Microglial TREM2 Mitigates Inflammatory Responses and Neuronal Apoptosis in Angiotensin II-Induced Hypertension in Middle-Aged Mice. Front Aging Neurosci 2021; 13:716917. [PMID: 34489683 PMCID: PMC8417947 DOI: 10.3389/fnagi.2021.716917] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 07/16/2021] [Indexed: 11/15/2022] Open
Abstract
Growing evidence suggests that hypertension and aging are prominent risk factors for the development of late-onset Alzheimer's disease (LOAD) by inducement of neuroinflammation. Recent study showed that neuroinflammation via activated microglia induces reactive astrocytes, termed A1 astrocytes, that highly upregulate numerous classical complement cascade genes that are destructive to neurons in neurodegeneration diseases. Moreover, triggering receptor expressed on myeloid cells 2 (TREM2) is considered as one of the strongest single-allele genetic risk factors and plays important roles in neuroinflammation for LOAD. However, the mechanisms of microglia in the regulation of A1 astrocytic activation are still not clear. We introduced angiotensin II-induced hypertension in middle-aged mice and found that hypertension-upregulated TREM2 expression and A1 astrocytic activation were involved in neuroinflammation in the animal models used in this study. The in vitro results revealed that overexpression of microglial TREM2 not only mitigated microglial inflammatory response but also had salutary effects on reverse A1 astrocytic activation and neuronal toxicity.
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Affiliation(s)
- Xiaotian Xu
- Department of Neurology, The Affiliated Hospital, Yangzhou University, Yangzhou, China
- Department of Pharmacological & Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, United States
| | - Lin Du
- Department of Cardiology, The Affiliated Hospital, Yangzhou University, Yangzhou, China
| | - Jianxiong Jiang
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Ming Yang
- Department of Neurology, The Affiliated Hospital, Yangzhou University, Yangzhou, China
| | - Zhaoxia Wang
- Department of Neurology, The Affiliated Hospital, Yangzhou University, Yangzhou, China
| | - Yingge Wang
- Department of Neurology, The Affiliated Hospital, Yangzhou University, Yangzhou, China
| | - Tieyu Tang
- Department of Neurology, The Affiliated Hospital, Yangzhou University, Yangzhou, China
| | - Xuetao Fu
- Department of Neurology, The Affiliated Hospital, Yangzhou University, Yangzhou, China
| | - Jiukuan Hao
- Department of Pharmacological & Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, United States
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YU XIAOFENG, ZHU ZHILONG, ZHENG SHUZHAN, JIANG JIAN, JIANG JUANJUAN, CHU ZHAOHU. IN VIVO ASSESSMENT OF AMYLOID AND GLUCOSE SIGNATURES IN SUBJECTIVE COGNITIVE DECLINE SUBJECTS. J MECH MED BIOL 2021. [DOI: 10.1142/s0219519421400182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Subjective cognitive decline (SCD), characterized by self-perceived subtle cognitive impairment ahead of the appearance of explicit and measurable cognitive deficits, is regarded as the preclinical manifestation of the pathological change continuum of Alzheimer’s disease (AD). We were committed to exploring the amyloid and glucose metabolic signatures related to imminent brain metabolic changes in SCD subjects. This study included 39 subjects (mean age = 71.9 years; 14 males and 25 females) diagnosed with SCD disease and 39 gender-matched healthy controls (HCs) (mean age = 75.2; 16 males and 23 females) with brain [18F] fluorodeoxyglucose positron emission tomography (PET) images and [18F] florbetapir PET images. The standardized uptake value ratios (SUVRs) of PET images within the regions of interest (ROIs) were calculated. Inter-group SUVR differences were assessed by two-sample [Formula: see text]-testing and receiver operating characteristic curve (ROC) analyses. A generalized linear model (GLM) was employed to evaluate the correlations between amyloid and FDG uptake. Compared with HCs, SCD subjects showed significantly increased amyloid SUVR, as well as significantly increased glucose SUVR in the olfactory, amygdala, thalamus, heschl gyrus, superior and middle temporal gyrus and temporal pole (all [Formula: see text]). The amyloid SUVR of thalamus was found to have a better ROC result (area under the curve (AUC): 0.77, 95% confidence interval (CI): 0.66–0.86) in the HC group, as was the case with the glucose SUVR of the middle temporal gyrus (AUC: 0.83, 95% CI: 0.73–0.91). There were significant positive correlations between amyloid and glucose SUVRs ([Formula: see text]). The amyloid SUVR of the thalamus showed a significantly better main effect (odd ratio [Formula: see text] 2.91, 95% CI: 1.44–6.7, [Formula: see text]), and the glucose SUVR of the heschl gyrus indicated an enhanced main effect (odd ratio [Formula: see text] 5.08, 95% CI: 1.86–18.15, [Formula: see text]). SCD subjects demonstrated significant amyloid accumulation and glucose hypermetabolism in specific brain regions, and amyloid pathology overlapped with regions of glucose abnormality. These findings may advance the understanding of imminent pathological changes in the SCD stage and help to provide clinical guidelines for interventional management.
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Affiliation(s)
- XIAOFENG YU
- Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Anhui 241000, P. R. China
- School of Electrical Engineering, Anhui Polytechnic University, Anhui 241000, P. R. China
| | - ZHILONG ZHU
- Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Anhui 241000, P. R. China
- School of Electrical Engineering, Anhui Polytechnic University, Anhui 241000, P. R. China
| | - SHUZHAN ZHENG
- Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Anhui 241000, P. R. China
- School of Electrical Engineering, Anhui Polytechnic University, Anhui 241000, P. R. China
| | - JIAN JIANG
- Center of Reproductive Medicine, Yijishan Hospital of Wannan Medical College, Anhui 241001, P. R. China
| | - JUANJUAN JIANG
- Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Anhui 241000, P. R. China
- School of Electrical Engineering, Anhui Polytechnic University, Anhui 241000, P. R. China
| | - ZHAOHU CHU
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Anhui 241000, P. R. China
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21
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Sociodemographic and Clinical Characteristics of 1350 Patients With Young Onset Dementia. Alzheimer Dis Assoc Disord 2021; 35:200-207. [DOI: 10.1097/wad.0000000000000435] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 12/15/2020] [Indexed: 11/26/2022]
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22
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Therapeutic potential of mangiferin in the treatment of various neuropsychiatric and neurodegenerative disorders. Neurochem Int 2020; 143:104939. [PMID: 33346032 DOI: 10.1016/j.neuint.2020.104939] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 11/02/2020] [Accepted: 12/12/2020] [Indexed: 12/19/2022]
Abstract
Xanthones are important chemical class of bioactive products that confers therapeutic benefits. Of several xanthones, mangiferin is known to be distributed widely across several fruits, vegetables and medicinal plants. Mangiferin has been shown to exert neuroprotective effects in both in-vitro and in-vivo models. Mangiferin attenuates cerebral infarction, cerebral edema, lipid peroxidation (MDA), neuronal damage, etc. Mangiferin further potentiate levels of endogenous antioxidants to confer protection against the oxidative stress inside the neurons. Mangiferin is involved in the regulation of various signaling pathways that influences the production and levels of proinflammatory cytokines in brain. Mangiferin cosunteracted the neurotoxic effect of amyloid-beta, MPTP, rotenone, 6-OHDA etc and confer protection to neurons. These evidence suggested that the mangiferin may be a potential therapeutic strategy for the treatment of various neurological disorders. The present review demonstrated the pharmacodynamics-pharmacokinetics of mangiferin and neurotherapeutic potential in several neurological disorders with underlying mechanisms.
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La Joie R, Visani AV, Lesman-Segev OH, Baker SL, Edwards L, Iaccarino L, Soleimani-Meigooni DN, Mellinger T, Janabi M, Miller ZA, Perry DC, Pham J, Strom A, Gorno-Tempini ML, Rosen HJ, Miller BL, Jagust WJ, Rabinovici GD. Association of APOE4 and Clinical Variability in Alzheimer Disease With the Pattern of Tau- and Amyloid-PET. Neurology 2020; 96:e650-e661. [PMID: 33262228 DOI: 10.1212/wnl.0000000000011270] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 09/11/2020] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To assess whether Alzheimer disease (AD) clinical presentation and APOE4 relate to the burden and topography of β-amyloid (Aβ) and tau pathologies using in vivo PET imaging. METHODS We studied 119 Aβ-positive symptomatic patients aged 48-95 years, including 29 patients with logopenic variant primary progressive aphasia (lvPPA) and 21 with posterior cortical atrophy (PCA). Pittsburgh compound B (PiB)-Aβ and flortaucipir (tau)-PET standardized uptake value ratio (SUVR) images were created. General linear models assessed relationships between demographic/clinical variables (phenotype, age), APOE4, and PET (including global cortical and voxelwise SUVR values) while controlling for disease severity using the Clinical Dementia Rating Sum of Boxes. RESULTS PiB-PET binding showed a widespread cortical distribution with subtle differences across phenotypes and was unrelated to demographic/clinical variables or APOE4. Flortaucipir-PET was commonly elevated in temporoparietal regions, but showed marked phenotype-associated differences, with higher binding observed in occipito-parietal areas for PCA, in left temporal and inferior frontal for lvPPA, and in medial temporal areas for other AD. Cortical flortaucipir-PET binding was higher in younger patients across phenotypes (r = -0.63, 95% confidence interval [CI] -0.72, -0.50), especially in parietal and dorsal prefrontal cortices. The presence of APOE4 was associated with a focal medial temporal flortaucipir-SUVR increase, controlling for all other variables (entorhinal: + 0.310 SUVR, 95% CI 0.091, 0.530). CONCLUSIONS Clinical phenotypes are associated with differential patterns of tau but not amyloid pathology. Older age and APOE4 are not only risk factors for AD but also seem to affect disease expression by promoting a more medial temporal lobe-predominant pattern of tau pathology.
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Affiliation(s)
- Renaud La Joie
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley.
| | - Adrienne V Visani
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Orit H Lesman-Segev
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Suzanne L Baker
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Lauren Edwards
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Leonardo Iaccarino
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - David N Soleimani-Meigooni
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Taylor Mellinger
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Mustafa Janabi
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Zachary A Miller
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - David C Perry
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Julie Pham
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Amelia Strom
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Maria Luisa Gorno-Tempini
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Howard J Rosen
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Bruce L Miller
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - William J Jagust
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
| | - Gil D Rabinovici
- From the Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences (R.L.J., A.V.V., O.H.L.-V., L.E., L.I., D.N.S.-M., T.M., Z.A.M., D.C.P., J.P., A.S., M.L.G.-T., H.J.R., B.L.M., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California, San Francisco; Department of Diagnostic Imaging (O.H.L.-V.), Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Molecular Biophysics and Integrated Bioimaging Division (S.L.B., M.J., W.J.J., G.D.R.), Lawrence Berkeley National Laboratory; and Helen Wills Neuroscience Institute (W.J.J., G.D.R.), University of California Berkeley
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Bruni AC, Bernardi L, Gabelli C. From beta amyloid to altered proteostasis in Alzheimer's disease. Ageing Res Rev 2020; 64:101126. [PMID: 32683041 DOI: 10.1016/j.arr.2020.101126] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/27/2020] [Accepted: 07/13/2020] [Indexed: 12/14/2022]
Abstract
Alzheimer's disease (AD) is an age related neurodegenerative disorder causing severe disability and important socio-economic burden, but with no cure available to date. To disentangle this puzzling disease genetic studies represented an important way for the comprehension of pathogenic mechanisms. Abnormal processing and accumulation of amyloid-β peptide (Aβ) has been considered the main cause and trigger factor of the disease. The amyloid cascade theory has fallen into crisis because the failure of several anti-amyloid drugs trials and because of the simple equation AD = abnormal Aβ deposition is not always the case. We now know that multiple neurodegenerative diseases share common pathogenic mechanisms leading to accumulation of misfolded protein species. Genome Wide Association studies (GWAS) led to the identification of large numbers of DNA common variants (SNPs) distributed on different chromosomes and modulating the Alzheimer's risk. GWAS genes fall into several common pathways such as immune system and neuroinflammation, lipid metabolism, synaptic dysfunction and endocytosis, all of them addressing to novel routes for different pathogenic mechanisms. Other hints could be derived from epidemiological and experimental studies showing some lifestyles may have a major role in the pathogenesis of many age-associated diseases by modifying cell metabolism, proteostasis and microglia mediated neuroinflammation.
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Affiliation(s)
- Amalia C Bruni
- Regional Neurogenetic Centre, ASP Catanzaro, Lamezia Terme (CZ), Italy.
| | - Livia Bernardi
- Regional Neurogenetic Centre, ASP Catanzaro, Lamezia Terme (CZ), Italy
| | - Carlo Gabelli
- Regional Brain Aging Centre, Azienda Ospedale Università Di Padova, Padova Italy
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MacNeil-Vroomen JL, Thompson M, Leo-Summers L, Marottoli RA, Tai-Seale M, Allore HG. Health-care use and cost for multimorbid persons with dementia in the National Health and Aging Trends Study. Alzheimers Dement 2020; 16:1224-1233. [PMID: 32729984 PMCID: PMC9238348 DOI: 10.1002/alz.12094] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 01/06/2020] [Accepted: 01/17/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND Most persons with dementia have multiple chronic conditions; however, it is unclear whether co-existing chronic conditions contribute to health-care use and cost. METHODS Persons with dementia and ≥2 chronic conditions using the National Health and Aging Trends Study and Medicare claims data, 2011 to 2014. RESULTS Chronic kidney disease and ischemic heart disease were significantly associated with increased adjusted risk ratios of annual hospitalizations, hospitalization costs, and direct medical costs. Depression, hypertension, and stroke or transient ischemic attack were associated with direct medical and societal costs, while atrial fibrillation was associated with increased hospital and direct medical costs. No chronic condition was associated with informal care costs. CONCLUSIONS Among older adults with dementia, proactive and ambulatory care that includes informal caregivers along with primary and specialty providers, may offer promise to decrease use and costs for chronic kidney disease, ischemic heart disease, atrial fibrillation, depression, and hypertension.
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Affiliation(s)
- Janet L. MacNeil-Vroomen
- Section of Geriatrics, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut, USA
- Section of Geriatric Medicine, Department of Internal Medicine, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, the Netherlands
| | - Mary Thompson
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada
| | - Linda Leo-Summers
- Section of Geriatrics, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Richard A. Marottoli
- Section of Geriatrics, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut, USA
- Geriatrics and Extended Care, VA Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Ming Tai-Seale
- Department of Family Medicine and Public Health, School of Medicine, University of California San Diego, San Diego, California, USA
| | - Heather G. Allore
- Section of Geriatrics, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut, USA
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA
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Yen TY, Beriwal N, Kaur P, Ravat V, Patel RS. Medical Comorbidities and Association With Mortality Risk in Alzheimer's Disease: Population-Based Study of 132,405 Geriatric Inpatients. Cureus 2020; 12:e8203. [PMID: 32572359 PMCID: PMC7303507 DOI: 10.7759/cureus.8203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Objectives We used the Nationwide Inpatient Sample (NIS) to identify the demographic predictors and study the impact of chronic comorbidities on the risk of in-hospital mortality in Alzheimer’s disease (AD). Methods We included 132,405 AD patients from the NIS (2012-2014). We used descriptive statistics to discern the differences in demographics and comorbidities by in-hospital mortality. Logistic regression analysis was used to evaluate the predictors and impact of comorbidities that increase the risk of association with in-hospital mortality. Results The in-hospital mortality in AD inpatients is 1.69%, and a greater proportion were female (58.4%) and white (81.5%). Male and hispanic had a higher mortality risk than their counterparts. Hypertension (72%) is the most prevalent comorbidity. Congestive cardiac failure (CCF) and renal failure were significantly associated with a higher risk of in-hospital mortality in AD inpatients by 1.4 and 1.5 times, respectively. Psychiatric comorbidities (depression 20.4%, and psychosis 21.4%) were prevalent in AD inpatients but were negatively associated with mortality. Comorbid tumors without metastasis (1.2%) and metastatic cancer (0.3%) were least prevalent but significantly increased the risk of in-hospital mortality by 1.6 times and 2.2 times, respectively. Conclusion CCF and renal failure were significantly associated with a higher risk of in-hospital mortality in AD patients. Less prevalent comorbidities, tumors with/without metastasis increased in-hospital mortality by 59% to 117%. An integrated care model is required to manage comorbidities in AD patients to improve health-related quality of life and reduce morbidity and mortality.
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Affiliation(s)
- Ting Yu Yen
- Medicine, Poznan University of Medical Sciences, Poznan, POL
| | - Nitya Beriwal
- Medicine, Lady Hardinge Medical College, New Delhi, IND
| | - Pawandeep Kaur
- Medicine, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, IND
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Abstract
PURPOSE OF REVIEW Early-onset Alzheimer disease (AD) is defined as having an age of onset younger than 65 years. While early-onset AD is often overshadowed by the more common late-onset AD, recognition of the differences between early- and late-onset AD is important for clinicians. RECENT FINDINGS Early-onset AD comprises about 5% to 6% of cases of AD and includes a substantial percentage of phenotypic variants that differ from the usual amnestic presentation of typical AD. Characteristics of early-onset AD in comparison to late-onset AD include a larger genetic predisposition (familial mutations and summed polygenic risk), more aggressive course, more frequent delay in diagnosis, higher prevalence of traumatic brain injury, less memory impairment and greater involvement of other cognitive domains on presentation, and greater psychosocial difficulties. Neuroimaging features of early-onset AD in comparison to late-onset AD include greater frequency of hippocampal sparing and posterior neocortical atrophy, increased tau burden, and greater connectomic changes affecting frontoparietal networks rather than the default mode network. SUMMARY Early-onset AD differs substantially from late-onset AD, with different phenotypic presentations, greater genetic predisposition, and differences in neuropathologic burden and topography. Early-onset AD more often presents with nonamnestic phenotypic variants that spare the hippocampi and with greater tau burden in posterior neocortices. The early-onset AD phenotypic variants involve different neural networks than typical AD. The management of early-onset AD is similar to that of late-onset AD but with special emphasis on targeting specific cognitive areas and more age-appropriate psychosocial support and education.
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La Joie R, Visani AV, Baker SL, Brown JA, Bourakova V, Cha J, Chaudhary K, Edwards L, Iaccarino L, Janabi M, Lesman-Segev OH, Miller ZA, Perry DC, O'Neil JP, Pham J, Rojas JC, Rosen HJ, Seeley WW, Tsai RM, Miller BL, Jagust WJ, Rabinovici GD. Prospective longitudinal atrophy in Alzheimer's disease correlates with the intensity and topography of baseline tau-PET. Sci Transl Med 2020; 12:eaau5732. [PMID: 31894103 PMCID: PMC7035952 DOI: 10.1126/scitranslmed.aau5732] [Citation(s) in RCA: 328] [Impact Index Per Article: 82.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 09/13/2019] [Accepted: 11/13/2019] [Indexed: 12/16/2022]
Abstract
β-Amyloid plaques and tau-containing neurofibrillary tangles are the two neuropathological hallmarks of Alzheimer's disease (AD) and are thought to play crucial roles in a neurodegenerative cascade leading to dementia. Both lesions can now be visualized in vivo using positron emission tomography (PET) radiotracers, opening new opportunities to study disease mechanisms and improve patients' diagnostic and prognostic evaluation. In a group of 32 patients at early symptomatic AD stages, we tested whether β-amyloid and tau-PET could predict subsequent brain atrophy measured using longitudinal magnetic resonance imaging acquired at the time of PET and 15 months later. Quantitative analyses showed that the global intensity of tau-PET, but not β-amyloid-PET, signal predicted the rate of subsequent atrophy, independent of baseline cortical thickness. Additional investigations demonstrated that the specific distribution of tau-PET signal was a strong indicator of the topography of future atrophy at the single patient level and that the relationship between baseline tau-PET and subsequent atrophy was particularly strong in younger patients. These data support disease models in which tau pathology is a major driver of local neurodegeneration and highlight the relevance of tau-PET as a precision medicine tool to help predict individual patient's progression and design future clinical trials.
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Affiliation(s)
- Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
| | - Adrienne V Visani
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Suzanne L Baker
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Jesse A Brown
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Viktoriya Bourakova
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jungho Cha
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kiran Chaudhary
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Lauren Edwards
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Leonardo Iaccarino
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mustafa Janabi
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Orit H Lesman-Segev
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Zachary A Miller
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - David C Perry
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - James P O'Neil
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Julie Pham
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Julio C Rojas
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Richard M Tsai
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - William J Jagust
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
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MacNeil-Vroomen JL, Nagurney JM, Allore HG. Comorbid conditions and emergency department treat and release utilization in multimorbid persons with cognitive impairment. Am J Emerg Med 2020; 38:127-131. [PMID: 31337598 PMCID: PMC6917961 DOI: 10.1016/j.ajem.2019.07.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 07/02/2019] [Accepted: 07/16/2019] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND There is an increasing focus in the emergency department (ED) on addressing the needs of persons with cognitive impairment, most of whom have multiple chronic conditions. We investigated which common comorbidities among multimorbid persons with cognitive impairment conferred increased risk for ED treat and release utilization. METHODS We examined the association of 16 chronic conditions on use of ED treat and release visit utilization among 1006 adults with cognitive impairment and ≥ 2 comorbidities using the nationally-representative National Health and Aging Trends Study merged with Fee-For-Service Medicare claims data, 2011-2015. RESULTS At baseline, 28.5% had ≥6 conditions and 35.4% were ≥ 85 years old. After controlling for sex, age, race, education, urban-living, number of disabled activities of daily living, and sampling strata, we found significantly increased adjusted risk ratios (aRR) of ED treat and release visits for persons with depression (aRR 1.38 95% CI 1.15-1.65) representing 78/100 person-years, and osteoarthritis or rheumatoid arthritis (aRR 1.32 95% CI 1.12-1.57) representing 71/100 person-years. At baseline 93.9% had ≥1 informal caregiver and 69.7% had a caregiver that helped with medications or attended physician visits. CONCLUSION These results show that multimorbid cognitively impaired older adults with depression or osteoarthritis or rheumatoid arthritis are at higher risk of ED treat and release visits. Future ED research with multimorbid cognitively impaired persons may explore behavioral aspects of depression and/or pain and flairs associated with osteoarthritis or rheumatoid arthritis, as well as the role of informal caregivers in the care of these conditions.
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Affiliation(s)
- Janet L MacNeil-Vroomen
- Section of Geriatrics, Department of Internal Medicine, School of Medicine, Yale University, New Haven 06511, CT, United States of America; Section of Geriatric Medicine, Department of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam 110Z AZ, the Netherlands.
| | - Justine M Nagurney
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston 02215-5321, MA, United States of America
| | - Heather G Allore
- Section of Geriatrics, Department of Internal Medicine, School of Medicine, Yale University, New Haven 06511, CT, United States of America; Department of Biostatistics, Yale School of Public Health, New Haven 06511, CT, United States of America
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Survival and life-expectancy in a young-onset dementia cohort with six years of follow-up: the NeedYD-study. Int Psychogeriatr 2019; 31:1781-1789. [PMID: 30915930 DOI: 10.1017/s1041610219000152] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVES The aim of this study was to investigate survival time and life-expectancy in people with young-onset dementia (YOD) and to examine the relationship with age, sex, dementia subtype and comorbidity. DESIGN, SETTING AND PARTICIPANTS Survival was examined in 198 participants in the Needs in Young-onset Dementia study, including participants with Alzheimer's dementia (AD), vascular dementia (VaD) and frontotemporal dementia (FTD). MEASURES The primary outcomes were survival time after symptom onset and after date of diagnosis. Cox proportional hazards models were used to explore the relationship between survival and age, sex, dementia subtype and comorbidity. Additionally, the impact on remaining life expectancy was explored. RESULTS During the six-year follow-up, 77 of the participants died (38.9%), 78 participants survived (39.4%) and 43 were lost to follow-up (21.7%). The mean survival time after symptom onset and diagnosis was 209 months (95% CI 185-233) and 120 months (95% CI 110-130) respectively. Participants with AD had a statistically significant shorter survival compared with VaD participants, both regarding survival after symptom onset (p = 0.047) as well as regarding survival after diagnosis (p = 0.049). Younger age at symptom onset or at diagnosis was associated with longer survival times. The remaining life expectancy, after diagnosis, was reduced with 51% for males and 59% for females compared to the life expectancy of the general population in the same age groups. CONCLUSION/IMPLICATIONS It is important to consider the dementia subtype when persons with YOD and their families are informed about the prognosis of survival. Our study suggests longer survival times compared to other studies on YOD, and survival is prolonged compared to studies on LOD. Younger age at symptom onset or at diagnosis was positively related to survival but diagnosis at younger ages, nevertheless, still diminishes life expectancy dramatically.
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Does SCFD1 rs10139154 Polymorphism Decrease Alzheimer’s Disease Risk? J Mol Neurosci 2019; 69:343-350. [DOI: 10.1007/s12031-019-01363-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 06/25/2019] [Indexed: 12/14/2022]
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Affiliation(s)
- Makoto Ishii
- Feil Family Brain and Mind Research Institute, Department of Neurology, Weill Cornell Medicine, New York, New York
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33
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Appelhof B, Bakker C, de Vugt ME, van Duinen-van den IJssel JCL, Zwijsen SA, Smalbrugge M, Teerenstra S, Verhey FRJ, Zuidema SU, Koopmans RTCM. Effects of a Multidisciplinary Intervention on the Presence of Neuropsychiatric Symptoms and Psychotropic Drug Use in Nursing Home Residents WithYoung-Onset Dementia: Behavior and Evolution of Young-Onset Dementia Part 2 (BEYOND-II) Study. Am J Geriatr Psychiatry 2019; 27:581-589. [PMID: 30799167 DOI: 10.1016/j.jagp.2018.12.032] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 12/30/2018] [Accepted: 12/31/2018] [Indexed: 10/27/2022]
Abstract
OBJECTIVE The effect of an intervention on neuropsychiatric symptoms (NPS), particularly agitation and aggression, and psychotropic drug use (PDU) in institutionalized people with young-onset dementia (YOD) was evaluated. METHODS A randomized controlled trial was conducted using a stepped wedge design. Thirteen YOD special care units were randomly assigned to three groups, which received the intervention at different time points. Four assessments took place every 6 months during a period of 18 months. Two hundred seventy-four people with YOD who resided in YOD special care units participated, of whom 131 took part in all assessments. The intervention consisted of an educational program combined with a care program, which structured the multidisciplinary process of managing NPS. The care program included the following five steps: evaluation of psychotropic drug prescription, detection, analysis, treatment, and evaluation of treatment of NPS. The Cohen-Mansfield Agitation Inventory and the Neuropsychiatric Inventory-Nursing Home version were used to assess NPS. Data on PDU were retrieved from residents' medical files. Multilevel models were used to evaluate the effect of the intervention, which accounted for clustering of measurements in clients within units. RESULTS No significant differences were found in agitation, aggression, other NPS, or PDU after crossing over to the intervention condition. CONCLUSION We found no evidence that the intervention for management of NPS in nursing home residents with YOD was more effective in reducing agitation, aggression, other NPS, or PDU compared with care as usual.
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Affiliation(s)
- Britt Appelhof
- Department of Primary and Community Care (BA, CB, JCLD, RTCMK), Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands; Knowledge Center for Specialized Care (BA), Landrijt Archipel, Eindhoven, The Netherlands; Radboudumc Alzheimer Center (BA, CB, JCLD, RTCMK), Nijmegen, The Netherlands; Send correspondence and reprint requests to Britt Appelhof, M.Sc., Department of Primary and Community Care, Radboud University Medical Center, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands..
| | - Christian Bakker
- Department of Primary and Community Care (BA, CB, JCLD, RTCMK), Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands; Radboudumc Alzheimer Center (BA, CB, JCLD, RTCMK), Nijmegen, The Netherlands; Center for Specialized Care in Young-Onset Dementia (CB), Florence Mariahoeve, The Hague
| | - Marjolein E de Vugt
- Alzheimer Center Limburg (MEV, FRJV), School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jeannette C L van Duinen-van den IJssel
- Department of Primary and Community Care (BA, CB, JCLD, RTCMK), Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands; Radboudumc Alzheimer Center (BA, CB, JCLD, RTCMK), Nijmegen, The Netherlands
| | - Sandra A Zwijsen
- Department of General Practice and Elderly Care Medicine/Amsterdam Public Health Research Institute (SAZ, MS), VU University Medical Center, Amsterdam
| | - Martin Smalbrugge
- Department of General Practice and Elderly Care Medicine/Amsterdam Public Health Research Institute (SAZ, MS), VU University Medical Center, Amsterdam
| | - Steven Teerenstra
- Department of Health Evidence (ST), Section Biostatistics, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Frans R J Verhey
- Alzheimer Center Limburg (MEV, FRJV), School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Sytse U Zuidema
- Department of General Practice and Elderly Care Medicine (SUZ), University Medical Center Groningen, Groningen, The Netherlands
| | - Raymond T C M Koopmans
- Department of Primary and Community Care (BA, CB, JCLD, RTCMK), Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands; Radboudumc Alzheimer Center (BA, CB, JCLD, RTCMK), Nijmegen, The Netherlands; De Waalboog "Joachim en Anna" Center for Specialized Geriatric Care (RTCMK), Nijmegen, The Netherlands
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Nelis SM, Wu YT, Matthews FE, Martyr A, Quinn C, Rippon I, Rusted J, Thom JM, Kopelman MD, Hindle JV, Jones RW, Clare L. The impact of co-morbidity on the quality of life of people with dementia: findings from the IDEAL study. Age Ageing 2019; 48:361-367. [PMID: 30403771 PMCID: PMC6503940 DOI: 10.1093/ageing/afy155] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 09/12/2018] [Indexed: 12/26/2022] Open
Abstract
Background The aim was to investigate the co-morbidity profile of people with dementia and examine the associations between severity of co-morbidity, health-related quality of life (HRQoL) and quality of life (QoL). Methods The improving the experience of Dementia and Enhancing Active Life (IDEAL) cohort consisted of 1,547 people diagnosed with dementia who provided information on the number and type of co-morbid conditions. Participants also provided ratings of their health-related and dementia-specific QoL. Results The majority of the sample were living with more than one chronic condition. Hypertension was commonly reported and frequently combined with connective tissue disease, diabetes and depression. The number of co-morbid conditions was associated with low QoL scores, and those with severe co-morbidity (≥5 conditions) showed the greatest impact on their well-being. Conclusions Co-morbidity is an important risk factor for poor QoL and health status in people with dementia. Greater recognition of the nature and impact of co-morbidity is needed to inform support and interventions for people with dementia and a multidisciplinary approach to care provision is recommended.
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Affiliation(s)
- Sharon M Nelis
- REACH: The Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School and College of Life and Environmental Sciences, St Luke’s Campus, Exeter, UK
| | - Yu-Tzu Wu
- REACH: The Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School and College of Life and Environmental Sciences, St Luke’s Campus, Exeter, UK
- King’s College London, Social Epidemiology Research Group, Health Service and Population Research, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Fiona E Matthews
- Institute of Health and Society, Newcastle University, Newcastle Upon Tyne, UK
| | - Anthony Martyr
- REACH: The Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School and College of Life and Environmental Sciences, St Luke’s Campus, Exeter, UK
| | - Catherine Quinn
- REACH: The Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School and College of Life and Environmental Sciences, St Luke’s Campus, Exeter, UK
| | - Isla Rippon
- College of Health and Life Sciences, Brunel University London, London, UK
| | | | - Jeanette M Thom
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Michael D Kopelman
- King’s College London, Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, UK
| | - John V Hindle
- REACH: The Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School and College of Life and Environmental Sciences, St Luke’s Campus, Exeter, UK
| | - Roy W Jones
- RICE (The Research Institute for the Care of Older People), Bath, UK
| | - Linda Clare
- REACH: The Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School and College of Life and Environmental Sciences, St Luke’s Campus, Exeter, UK
- Wellcome Centre for Cultures and Environments of Health, University of Exeter, Exeter, UK
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Tan B, Fox S, Kruger C, Lynch M, Shanagher D, Timmons S. Investigating the healthcare utilisation and other support needs of people with young-onset dementia. Maturitas 2019; 122:31-34. [DOI: 10.1016/j.maturitas.2019.01.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 12/12/2018] [Accepted: 01/10/2019] [Indexed: 10/27/2022]
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Whitwell JL, Martin P, Graff-Radford J, Machulda MM, Senjem ML, Schwarz CG, Weigand SD, Spychalla AJ, Drubach DA, Jack CR, Lowe VJ, Josephs KA. The role of age on tau PET uptake and gray matter atrophy in atypical Alzheimer's disease. Alzheimers Dement 2019; 15:675-685. [PMID: 30853465 DOI: 10.1016/j.jalz.2018.12.016] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 11/02/2018] [Accepted: 12/29/2018] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Little is known about the role of age on neurodegeneration and protein deposition in atypical variants of Alzheimer's disease (AD). METHODS Regional tau and β-amyloid positron emission tomography standard uptake value ratios and gray matter volumes were calculated in a cohort of 42 participants with atypical AD. The relationship between regional metrics and age was modeled using a Bayesian hierarchical linear model. RESULTS Age was strongly associated with tau uptake across all cortical regions, particularly parietal, with greater uptake in younger participants. Younger age was associated with smaller parietal and lateral temporal volumes. Regional β-amyloid differed little by age. Age showed a stronger association with tau than volume and β-amyloid in all cortical regions. Age was not associated with cognitive performance. DISCUSSION Age is an important determinant of severity of cortical tau uptake in atypical AD, with young participants more likely to show widespread and severe cortical tau uptake.
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Affiliation(s)
| | - Peter Martin
- Department of Health Science Research, Mayo Clinic, Rochester MN, USA
| | | | - Mary M Machulda
- Department of Psychology and Psychiatry, Mayo Clinic, Rochester MN, USA
| | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester MN, USA; Department of Information Technology, Mayo Clinic, Rochester MN, USA
| | | | - Stephen D Weigand
- Department of Health Science Research, Mayo Clinic, Rochester MN, USA
| | | | | | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester MN, USA
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Calderón-Larrañaga A, Vetrano DL, Ferrucci L, Mercer SW, Marengoni A, Onder G, Eriksdotter M, Fratiglioni L. Multimorbidity and functional impairment-bidirectional interplay, synergistic effects and common pathways. J Intern Med 2019; 285:255-271. [PMID: 30357990 PMCID: PMC6446236 DOI: 10.1111/joim.12843] [Citation(s) in RCA: 201] [Impact Index Per Article: 40.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
This review discusses the interplay between multimorbidity (i.e. co-occurrence of more than one chronic health condition in an individual) and functional impairment (i.e. limitations in mobility, strength or cognition that may eventually hamper a person's ability to perform everyday tasks). On the one hand, diseases belonging to common patterns of multimorbidity may interact, curtailing compensatory mechanisms and resulting in physical and cognitive decline. On the other hand, physical and cognitive impairment impact the severity and burden of multimorbidity, contributing to the establishment of a vicious circle. The circle may be further exacerbated by people's reduced ability to cope with treatment and care burden and physicians' fragmented view of health problems, which cause suboptimal use of health services and reduced quality of life and survival. Thus, the synergistic effects of medical diagnoses and functional status in adults, particularly older adults, emerge as central to assessing their health and care needs. Furthermore, common pathways seem to underlie multimorbidity, functional impairment and their interplay. For example, older age, obesity, involuntary weight loss and sedentarism can accelerate damage accumulation in organs and physiological systems by fostering inflammatory status. Inappropriate use or overuse of specific medications and drug-drug and drug-disease interactions also contribute to the bidirectional association between multimorbidity and functional impairment. Additionally, psychosocial factors such as low socioeconomic status and the direct or indirect effects of negative life events, weak social networks and an external locus of control may underlie the complex interactions between multimorbidity, functional decline and negative outcomes. Identifying modifiable risk factors and pathways common to multimorbidity and functional impairment could aid in the design of interventions to delay, prevent or alleviate age-related health deterioration; this review provides an overview of knowledge gaps and future directions.
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Affiliation(s)
- A Calderón-Larrañaga
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - D L Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.,Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of the Sacred Heart, Rome, Italy.,Centro di Medicina dell'Invecchiamento, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - L Ferrucci
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - S W Mercer
- Institute of Health and Wellbeing, General Practice and Primary Care, University of Glasgow, Glasgow, UK
| | - A Marengoni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - G Onder
- Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of the Sacred Heart, Rome, Italy.,Centro di Medicina dell'Invecchiamento, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - M Eriksdotter
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
| | - L Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
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Lim L, Zhang A, Lim L, Choong TM, Silva E, Ng A, Kandiah N. High Caregiver Burden in Young Onset Dementia: What Factors Need Attention? J Alzheimers Dis 2019; 61:537-543. [PMID: 29171995 DOI: 10.3233/jad-170409] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND There is an increase in prevalence of young onset dementia (YOD). The specific problems among YOD patients and levels of caregiver burden (CB) in this group warrants further evaluation. OBJECTIVE To evaluate and compare level of CB in YOD and late onset dementia (LOD). Also, we sought to understand the specific factors, such as neuropsychiatric symptoms, that may affect the levels of caregiver burden in the YOD group. METHODS Patient-caregiver dyads with YOD and LOD were recruited from a tertiary neurology center. Levels of CB between YOD and LOD were compared among 183 patient-caregiver dyads. CB was quantified using the Zarit Burden Inventory (ZBI). Neuropsychological evaluations as well as the Neuropsychiatric Inventory were performed. Factors that influenced level of CB in YOD group was investigated with regression analyses. RESULTS There were 57 YOD and 126 LOD dyads. Caregivers of YOD subjects reported significantly higher levels of burden compared to caregivers of LOD subjects (ZBI: 17.3 versus 13.94; p = 0.015). 52.6% of YOD caregivers reported a high caregiver burden. When compared to caregivers of LOD, the odds of a caregiver of YOD reporting high caregiver burden was 2.34 (95% CI: 1.22-4.49: p = 0.010). YOD dyads with a high caregiver burden had significantly higher neuropsychiatric inventory scores. Risk factors for high caregiver burden in YOD included family history of dementia and behavioral symptoms including disinhibited behavior, delusions, and apathy. CONCLUSION Targeted support for caregivers of patients with YOD is needed to address the higher CB in this group.
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Affiliation(s)
- Linda Lim
- Department of Neurology, National Neuroscience Institute, Singapore
| | - Angeline Zhang
- Department of Neurology, National Neuroscience Institute, Singapore
| | - Levinia Lim
- Department of Neurology, National Neuroscience Institute, Singapore
| | | | - Eveline Silva
- Department of Neurology, National Neuroscience Institute, Singapore
| | - Adeline Ng
- Department of Neurology, National Neuroscience Institute, Singapore
| | - Nagaendran Kandiah
- Department of Neurology, National Neuroscience Institute, Singapore.,Duke-NUS, Graduate Medical School, Singapore
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Rodgers C, Rogerson D, Stevenson J, Porock D. Physical activity for people with young-onset dementia and carers: protocol for a scoping review. Syst Rev 2018; 7:36. [PMID: 29482653 PMCID: PMC5827995 DOI: 10.1186/s13643-018-0698-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 02/14/2018] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Physical activity has been cited as a potential symptomatic treatment option for people living with dementia. At present, much of the research concerning physical activity and dementia considers older adults, and there are several review articles summarising the evidence in this area. Less is known about physical activity for younger people with dementia, despite the marked differences in needs and preferences between the two groups. The aim of this scoping review is to systematically explore and critically appraise the current state of the evidence regarding physical activity for people with young-onset dementia and carers. METHODS Several electronic databases (i.e. MEDLINE, SPORTDiscus, CINAHL, Cochrane Library, PsycINFO, Applied Social Sciences Index & Abstracts (ASSIA) and Scopus), grey literature (i.e. NICE Evidence Search (UK) and targeted international organisations e.g. Alzheimer's Society (UK), Age UK, Young Dementia UK, Alzheimer's Association (USA), Dementia Australia) and trial registries (i.e. UK Clinical Trials Gateway, International Clinical Trials Registry Platform and EU Clinical Trials Register) will be searched for published and unpublished evidence regarding physical activity for people with young-onset dementia and carers. Studies included in the review will be subjected to a narrative synthesis to explore similarities and differences, both within and between studies, to identify patterns and themes and to postulate explanations for research findings (e.g. how and why certain interventions or programmes have worked (or not); factors that might have influenced the findings ). DISCUSSION This will be the first review to systematically explore and critically appraise the current state of the evidence regarding physical activity for people with young-onset dementia and carers. It is hoped that findings from this review will be used to inform the development of future physical activity interventions, to serve as a basis for consultation with key stakeholders and to identify appropriate outcome measures relevant to people with young-onset dementia and carers. SYSTEMATIC REVIEW REGISTRATION At present, scoping reviews are not eligible for registration on the international prospective register of systematic reviews (i.e. PROSPERO).
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Affiliation(s)
- Chloe Rodgers
- Academy of Sport and Physical activity, Sheffield Hallam University, Sheffield, UK. .,A214 Collegiate Hall, Collegiate Crescent, Sheffield Hallam University, Sheffield, S10 2BP, UK.
| | - David Rogerson
- Academy of Sport and Physical activity, Sheffield Hallam University, Sheffield, UK
| | - Judy Stevenson
- Academy of Sport and Physical activity, Sheffield Hallam University, Sheffield, UK
| | - Davina Porock
- Faculty of Health and Wellbeing, Sheffield Hallam University, Sheffield, UK
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François M, Sicsic J, Pelletier Fleury N. Drugs for Dementia and Excess of Hospitalization: A Longitudinal French Study. J Alzheimers Dis 2018; 61:1627-1637. [DOI: 10.3233/jad-170371] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Mathilde François
- Université Paris Saclay, INSERM, Centre de Recherche en Epidémiologie et Santé des Populations, Hôpital Paul Brousse, Villejuif Cedex, France
- Département de Médecine Générale, Faculté des Sciences de la Santé Simone Veille, Université Versailles-Saint-Quentin-en-Yvelines, Montigny le Bretonneux, France
| | - Jonathan Sicsic
- Université Paris Saclay, INSERM, Centre de Recherche en Epidémiologie et Santé des Populations, Hôpital Paul Brousse, Villejuif Cedex, France
| | - Nathalie Pelletier Fleury
- Université Paris Saclay, INSERM, Centre de Recherche en Epidémiologie et Santé des Populations, Hôpital Paul Brousse, Villejuif Cedex, France
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Roubroeks JAY, Smith RG, van den Hove DLA, Lunnon K. Epigenetics and DNA methylomic profiling in Alzheimer's disease and other neurodegenerative diseases. J Neurochem 2017; 143:158-170. [PMID: 28805248 DOI: 10.1111/jnc.14148] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 08/08/2017] [Accepted: 08/09/2017] [Indexed: 12/13/2022]
Abstract
Recent studies have suggested a role for epigenetic mechanisms in the complex etiology of various neurodegenerative diseases. In this review, we discuss advances that have been made toward understanding the role of epigenetic processes in neurodegenerative disorders, with a particular focus on Alzheimer's disease, where the most extensive studies have been undertaken to date. We provide a brief overview of DNA modifications, followed by a summarization of studies of DNA modifications in Alzheimer's disease and other neurodegenerative diseases.
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Affiliation(s)
| | - Rebecca G Smith
- University of Exeter Medical School, University of Exeter, Devon, UK
| | - Daniel L A van den Hove
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands.,Laboratory of Translational Neuroscience, Division of Molecular Psychiatry, Department of Psychiatry, Psychosomatics and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Katie Lunnon
- University of Exeter Medical School, University of Exeter, Devon, UK
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Abstract
Early-onset Alzheimer disease (EOAD), with onset in individuals younger than 65 years, although overshadowed by the more common late-onset AD (LOAD), differs significantly from LOAD. EOAD comprises approximately 5% of AD and is associated with delays in diagnosis, aggressive course, and age-related psychosocial needs. One source of confusion is that a substantial percentage of EOAD are phenotypic variants that differ from the usual memory-disordered presentation of typical AD. The management of EOAD is similar to that for LOAD, but special emphasis should be placed on targeting the specific cognitive areas involved and more age-appropriate psychosocial support and education.
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Affiliation(s)
- Mario F Mendez
- Behavioral Neurology Program, David Geffen School of Medicine at UCLA, 300 Westwood Plaza, Suite B-200, Box 956975, Los Angeles, CA 90095, USA; Neurobehavior Unit, VA Greater Los Angeles Healthcare System, 11301 Wilshire Boulevard, Building 206, Los Angeles, CA 90073, USA.
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43
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Liao W, Hamel REG, Olde Rikkert MGM, Oosterveld SM, Aalten P, Verhey FRJ, Scheltens P, Sistermans N, Pijnenburg YAL, van der Flier WM, Ramakers IHGB, Melis RJF. A profile of The Clinical Course of Cognition and Comorbidity in Mild Cognitive Impairment and Dementia Study (The 4C study): two complementary longitudinal, clinical cohorts in the Netherlands. BMC Neurol 2016; 16:242. [PMID: 27884130 PMCID: PMC5123233 DOI: 10.1186/s12883-016-0750-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 11/10/2016] [Indexed: 11/10/2022] Open
Abstract
Background Heterogeneous disease trajectories of mild cognitive impairment (MCI) and dementia are frequently encountered in clinical practice, but there is still insufficient knowledge to understand the reasons and mechanisms causing this heterogeneity. In addition to correlates of the disorder, patient characteristics such as their health status, social environment, comorbidities and frailty may contribute to variability in trajectories over time. The current paper outlines the study design and the study population of and provides an overview of the data collected in the Clinical Course of Cognition and Comorbidity in Mild Cognitive Impairment (4C-MCI cohort, n = 315) and Dementia (4C-Dementia cohort, n = 331) Study. Methods The two complementary longitudinal cohorts part of the 4C study began enrolment in March 2010. Participants were prospectively recruited from three collaborating Dutch Alzheimer Centers, with three annual follow-up assessments after baseline. Extensive neuropsychological assessments, and detailed profiling of comorbidities, health and frailty at each follow up were the key features of the 4C study. As such, the 4C study was designed to study if and how patients’ comorbidities and frailty are associated with the course of MCI and dementia measured with a comprehensive and multidimensional set of outcomes including cognition, daily functioning, quality of life, behavioral disturbances, caregiver burden, institutionalization and death and whether the effects of medical health and frailty differ between MCI and dementia stages of cognitive disorders. Conclusion Sampled in a clinical setting, the 4C study complements population-based studies on neurodegenerative disorders in terms of the type of assessment (e.g. comorbidity, frailty, and functional status were repeatedly assessed). The 4C study complements available clinical cohorts of MCI and dementia patients, because the exclusion criteria were kept to a minimum, to obtain a sample that is representative for the average patient visiting a memory clinic.
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Affiliation(s)
- Weiqi Liao
- Radboud Institute of Health Sciences, Department of Geriatric Medicine & Radboudumc Alzheimer Centre, Radboud University Medical Center, PO Box 9109, (House post 925), 6500 HB, Nijmegen, The Netherlands
| | - Renske E G Hamel
- Alzheimer Centre Limburg, School for Mental Health & Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Marcel G M Olde Rikkert
- Donders Institute for Brain, Cognition and Behaviour, Department of Geriatric Medicine & Radboudumc Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Saskia M Oosterveld
- Radboud Institute of Health Sciences, Department of Geriatric Medicine & Radboudumc Alzheimer Centre, Radboud University Medical Center, PO Box 9109, (House post 925), 6500 HB, Nijmegen, The Netherlands
| | - Pauline Aalten
- Alzheimer Centre Limburg, School for Mental Health & Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Frans R J Verhey
- Alzheimer Centre Limburg, School for Mental Health & Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Philip Scheltens
- Alzheimer Center & Department of Neurology, VU University Medical Center, Neuroscience Campus, Amsterdam, The Netherlands
| | - Nicole Sistermans
- Alzheimer Center & Department of Neurology, VU University Medical Center, Neuroscience Campus, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center & Department of Neurology, VU University Medical Center, Neuroscience Campus, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center & Department of Neurology, Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Inez H G B Ramakers
- Alzheimer Centre Limburg, School for Mental Health & Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - René J F Melis
- Radboud Institute of Health Sciences, Department of Geriatric Medicine & Radboudumc Alzheimer Centre, Radboud University Medical Center, PO Box 9109, (House post 925), 6500 HB, Nijmegen, The Netherlands.
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