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Nosheny RL, Yen D, Howell T, Camacho M, Moulder K, Gummadi S, Bui C, Kannan S, Ashford MT, Knight K, Mayo C, McMillan M, Petersen RC, Stricker NH, Roberson ED, Chambless C, Gersteneker A, Martin R, Kennedy R, Zhang Y, Kukull W, Flenniken D, Fockler J, Truran D, Mackin RS, Weiner MW, Morris JC, Li Y. Evaluation of the Electronic Clinical Dementia Rating for Dementia Screening. JAMA Netw Open 2023; 6:e2333786. [PMID: 37707812 PMCID: PMC10502518 DOI: 10.1001/jamanetworkopen.2023.33786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 08/01/2023] [Indexed: 09/15/2023] Open
Abstract
Importance The Clinical Dementia Rating (CDR) is a well-validated instrument widely used to detect and stage dementia due to Alzheimer disease. The digital Electronic Clinical Dementia Rating (eCDR) can be remotely self-administered and automatically scored, with potential to facilitate efficient dementia screening and staging. Objective To evaluate the association of the eCDR with the CDR and other in-clinic assessments for screening older adults for cognitive impairment. Design, Setting, and Participants This multisite, cross-sectional study used baseline data from a longitudinal, observational study from 2020 to 2023, including up to 3 years of follow-up. Participants were enrolled from 3 Alzheimer Disease Research Centers and the Brain Health Registry. Participants (aged ≥55 years, with a study partner, and no acute or unstable major medical conditions) were recruited during in-clinic visits or by automated emails. Exposures Participants completed the Uniform Data Set Version 3 (UDS; including the CDR) in supervised clinical research settings, and then completed the eCDR remotely, online and unsupervised, using their own device. Main Outcomes and Measures The primary outcomes were eCDR scores (item; categorical box and global; continuous box and global), CDR scores (item; categorical box and global), and UDS assessment scores. Associations were evaluated using linear and logistic regressions. Results A total of 3565 participants were contacted, and 288 were enrolled. Among 173 participants with item-level data (mean [SD] age, 70.84 [7.65] years; 76 women [43.9%]), eCDR to CDR concordance was 90% or higher for 33 items (63%) and 70% to 89% for 13 items (25%). Box (domain) level concordance ranged from 80% (memory) to 99% (personal care). The global score concordance rate was 81%. κ statistics were fair to moderate. Among 206 participants with box and global scores (mean [SD] age, 71.34 [7.68] years; 95 women [46.1%]), eCDR continuous global score was associated with CDR global (categorical) score with an area under the receiver operating characteristic curve of 0.79 (95% CI, 0.70-0.87). Correlations between eCDR and in-clinic UDS assessments were similar to those between CDR sum of box scores and the same in-clinic assessments. Conclusions and Relevance These findings suggest that the eCDR is valid and has potential use for screening and assessment of older adults for cognitive and functional decline related to Alzheimer disease. Instrument optimization and validation in diverse cohorts in remote settings are crucial for evaluating scalability and eCDR utility in clinical research, trials, and health care settings.
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Affiliation(s)
- Rachel L. Nosheny
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
- Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, San Francisco
| | - Daniel Yen
- Knight Alzheimer’s Disease Research Center, Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Taylor Howell
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Monica Camacho
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Krista Moulder
- Knight Alzheimer’s Disease Research Center, Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Shilpa Gummadi
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Chau Bui
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Sandhya Kannan
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Miriam T. Ashford
- Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, San Francisco
| | - Kristen Knight
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Connie Mayo
- Knight Alzheimer’s Disease Research Center, Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Maureen McMillan
- Knight Alzheimer’s Disease Research Center, Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | | | - Nikki H. Stricker
- Division of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota
| | - Erik D. Roberson
- Alzheimer’s Disease Center, Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology, University of Alabama at Birmingham, Birmingham
| | - Carol Chambless
- Alzheimer’s Disease Center, Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology, University of Alabama at Birmingham, Birmingham
| | - Adam Gersteneker
- Division of Neuropsychology, Department of Neurology, The University of Alabama at Birmingham, Birmingham
| | - Roy Martin
- Division of Neuropsychology, Department of Neurology, The University of Alabama at Birmingham, Birmingham
| | - Richard Kennedy
- Division of Gerontology, Geriatrics, and Palliative Care, Department of Medicine, University of Alabama at Birmingham, Birmingham
| | - Yue Zhang
- Alzheimer’s Disease Center, Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology, University of Alabama at Birmingham, Birmingham
| | - Walter Kukull
- Department of Epidemiology, University of Washington, Seattle
- National Alzheimer’s Coordinating Center, Seattle, Washington
| | - Derek Flenniken
- Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, San Francisco
| | - Juliet Fockler
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Diana Truran
- Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, San Francisco
| | - R. Scott Mackin
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
- Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, San Francisco
| | - Michael W. Weiner
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
- Northern California Institute for Research and Education, Department of Veterans Affairs Medical Center, San Francisco
| | - John C. Morris
- Knight Alzheimer’s Disease Research Center, Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Yan Li
- Knight Alzheimer’s Disease Research Center, Department of Neurology, Washington University School of Medicine, St Louis, Missouri
- Department of Biostatistics, Washington University School of Medicine, St Louis, Missouri
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Pang Y, Kukull W, Sano M, Albin RL, Shen C, Zhou J, Dodge HH. Predicting Progression from Normal to MCI and from MCI to AD Using Clinical Variables in the National Alzheimer's Coordinating Center Uniform Data Set Version 3: Application of Machine Learning Models and a Probability Calculator. J Prev Alzheimers Dis 2023; 10:301-313. [PMID: 36946457 PMCID: PMC10033942 DOI: 10.14283/jpad.2023.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Clinical trials are increasingly focused on pre-manifest and early Alzheimer's disease (AD). Accurately predicting clinical progressions from normal to MCI or from MCI to dementia/AD versus non-progression is challenging. Accurate identification of symptomatic progressors is important to avoid unnecessary treatment and improve trial efficiency. Due to large inter-individual variability, biomarker positivity and comorbidity information are often insufficient to identify those destined to have symptomatic progressions. Using only clinical variables, we aimed to predict clinical progressions, estimating probabilities of progressions with a small set of variables selected by machine learning approaches. This work updates our previous work that was applied to the National Alzheimer's Coordinating Center (NACC) Uniform Data Set Version 2 (V2), by using the most recent version (V3) with additional analyses. We generated a user-friendly conversion probability calculator which can be used for effectively pre-screening trial participants.
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Affiliation(s)
- Y Pang
- Hiroko H. Dodge, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA,
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Vardarajan BN, Reyes‐Dumeyer D, Piriz AL, Lantigua RA, Medrano M, Rivera D, Jiménez‐Velázquez IZ, Martin E, Pericak‐Vance MA, Bush W, Farrer L, Haines JL, Wang L, Leung YY, Schellenberg G, Kukull W, De Jager P, Bennett DA, Schneider JA, Mayeux R. Progranulin mutations in clinical and neuropathological Alzheimer's disease. Alzheimers Dement 2022; 18:2458-2467. [PMID: 35258170 PMCID: PMC9360185 DOI: 10.1002/alz.12567] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 09/07/2021] [Accepted: 12/10/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Progranulin (GRN) mutations occur in frontotemporal lobar degeneration (FTLD) and in Alzheimer's disease (AD), often with TDP-43 pathology. METHODS We determined the frequency of rs5848 and rare, pathogenic GRN mutations in two autopsy and one family cohort. We compared Braak stage, β-amyloid load, hyperphosphorylated tau (PHFtau) tangle density and TDP-43 pathology in GRN carriers and non-carriers. RESULTS Pathogenic GRN mutations were more frequent in all cohorts compared to the Genome Aggregation Database (gnomAD), but there was no evidence for association with AD. Pathogenic GRN carriers had significantly higher PHFtau tangle density adjusting for age, sex and APOE ε4 genotype. AD patients with rs5848 had higher frequencies of hippocampal sclerosis and TDP-43 deposits. Twenty-two rare, pathogenic GRN variants were observed in the family cohort. DISCUSSION GRN mutations in clinical and neuropathological AD increase the burden of tau-related brain pathology but show no specific association with β-amyloid load or AD.
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Affiliation(s)
- Badri N. Vardarajan
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- The Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia University and the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Dolly Reyes‐Dumeyer
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- The Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia University and the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Angel L. Piriz
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- The Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Rafael A. Lantigua
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of MedicineCollege of Physicians and SurgeonsColumbia University, and the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - Martin Medrano
- School of MedicinePontificia Universidad Catolica Madre y Maestra (PUCMM)SantiagoDominican Republic
| | - Diones Rivera
- Department of NeurologyCEDIMAT, Plaza de la SaludSanto DomingoDominican Republic
- School of MedicineUniversidad Pedro Henriquez Urena (UNPHU)Santo DomingoDominican Republic
| | | | - Eden Martin
- The John P. Hussman Institute for Human Genomicsand Dr. John T. Macdonald Foundation Department of Human GeneticsMiamiFloridaUSA
| | - Margaret A. Pericak‐Vance
- The John P. Hussman Institute for Human Genomicsand Dr. John T. Macdonald Foundation Department of Human GeneticsMiamiFloridaUSA
| | - William Bush
- Department of Biostatistics and EpidemiologyCase Western Reserve UniversityClevelandOhioUSA
| | - Lindsay Farrer
- Boston University School of MedicineBostonMassachusettsUSA
| | - Jonathan L. Haines
- Department of Biostatistics and EpidemiologyCase Western Reserve UniversityClevelandOhioUSA
| | - Li‐San Wang
- School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Yuk Yee Leung
- School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | | | - Walter Kukull
- Department of EpidemiologySchool of Public HealthUniversity of WashingtonSeattleWashingtonUSA
| | - Philip De Jager
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia University and the New York Presbyterian HospitalNew YorkNew YorkUSA
| | - David A. Bennett
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Julie A. Schneider
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | | | - Richard Mayeux
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- The Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia University and the New York Presbyterian HospitalNew YorkNew YorkUSA
- Department of EpidemiologySchool of Public HealthUniversity of WashingtonSeattleWashingtonUSA
- Department of PsychiatryCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
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Godrich D, Martin ER, Schellenberg G, Pericak‐Vance MA, Cuccaro M, Scott WK, Kukull W, Montine T, Beecham GW. Neuropathological lesions and their contribution to dementia and cognitive impairment in a heterogeneous clinical population. Alzheimers Dement 2022; 18:2403-2412. [PMID: 35142102 PMCID: PMC9360193 DOI: 10.1002/alz.12516] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 09/14/2021] [Accepted: 09/22/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Alzheimer disease (AD) and related dementias are characterized by damage caused by neuropathological lesions in the brain. These include AD lesions (plaques and tangles) and non-AD lesions such as vascular injury or Lewy bodies. We report here an assessment of lesion association to dementia in a large clinic-based population. METHODS We identified 5272 individuals with neuropathological data from the National Alzheimer's Coordinating Center. Individual lesions, as well as a neuropathological composite score (NPCS) were tested for association with dementia, and both functional and neurocognitive impairment using regression models. RESULTS Most individuals exhibited mixed pathologies, especially AD lesions in combination with non-AD lesions. All lesion types were associated with one or more clinical outcomes; most even while controlling for AD pathology. The NPCS was also associated with clinical outcomes. DISCUSSION These data suggest mixed-type pathologies are extremely common in a clinic-based population and may contribute to dementia and cognitive impairment.
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Affiliation(s)
- Dana Godrich
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Eden R. Martin
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Gerard Schellenberg
- Penn Neurodegeneration Genomics CenterDepartment of Pathology and Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Margaret A. Pericak‐Vance
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Michael Cuccaro
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - William K. Scott
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Walter Kukull
- Department of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Thomas Montine
- Department of PathologyStanford UniversityStanfordCaliforniaUSA
| | - Gary W. Beecham
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
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Frank B, Ally M, Tripodis Y, Puzo C, Labriolo C, Hurley L, Martin B, Palmisano J, Chan L, Steinberg E, Turk K, Budson A, O’Connor M, Au R, Qiu WQ, Goldstein L, Kukull W, Kowall N, Killiany R, Stern R, Stein T, McKee A, Mez J, Alosco M. Trajectories of Cognitive Decline in Brain Donors With Autopsy-Confirmed Alzheimer Disease and Cerebrovascular Disease. Neurology 2022; 98:e2454-e2464. [PMID: 35444054 PMCID: PMC9231841 DOI: 10.1212/wnl.0000000000200304] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/16/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Cerebrovascular disease (CBVD) is frequently comorbid with autopsy-confirmed Alzheimer disease (AD), but its contribution to the clinical presentation of AD remains unclear. We leveraged the National Alzheimer's Coordinating Center (NACC) uniform and neuropathology datasets to compare the cognitive and functional trajectories of AD+/CBVD+ and AD+/CBVD- brain donors. METHODS The sample included NACC brain donors with autopsy-confirmed AD (Braak stage ≥3, Consortium to Establish a Registry for Alzheimer's Disease score ≥2) and complete Uniform Data Set (UDS) evaluations between 2005 and 2019, with the most recent UDS evaluation within 2 years of autopsy. CBVD was defined as moderate to severe arteriosclerosis or atherosclerosis. We used propensity score weighting to isolate the effects of comorbid AD and CBVD. This method improved the balance of covariates between the AD+/CBVD+ and AD+/CBVD- groups. Longitudinal mixed-effects models were assessed with robust bayesian estimation. UDS neuropsychological test and the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) scores were primary outcomes. RESULTS Of 2,423 brain donors, 1,476 were classified as AD+/CBVD+. Compared with AD+/CVBD- donors, the AD+/CBVD+ group had accelerated decline (i.e., group × time effects) on measures of processing speed (β = -0.93, 95% CI -1.35, -0.51, Bayes factor [BF] 130.75), working memory (β = 0.05, 95% CI 0.02, 0.07, BF 3.59), verbal fluency (β = 0.10, 95% CI 0.04, 0.15, BF 1.28), naming (β = 0.09, 95% CI 0.03, 0.16, BF = 0.69), and CDR-SB (β = -0.08, 95% CI -0.12, -0.05, BF 18.11). Effects ranged from weak (BFs <3.0) to strong (BFs <150). We also found worse performance in the AD+/CBVD+ group across time on naming (β = -1.04, 95% CI -1.83, -0.25, BF 2.52) and verbal fluency (β = -0.73, 95% CI -1.30, -0.15, BF 1.34) and more impaired CDR-SB scores (β = 0.45, 95% CI 0.01, 0.89, BF 0.33). DISCUSSION In brain donors with autopsy-confirmed AD, comorbid CBVD was associated with an accelerated functional and cognitive decline, particularly on neuropsychological tests of attention, psychomotor speed, and working memory. CBVD magnified effects of AD neuropathology on semantic-related neuropsychological tasks. Findings support a prominent additive and more subtle synergistic effect for comorbid CBVD neuropathology in AD.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Michael Alosco
- From the Boston University Alzheimer's Disease Center and CTE Center (B.F., M. Ally, Y.T., C.P., C.L., B.M., J.P., L.C., E.S., K.T., A.B., M.O., R.A., W.Q.Q., L.G., N.K., R.K., R.S., T.S., A.M., J.M., M. Alosco), Boston University School of Medicine; Veteran Affairs Bedford Healthcare System (B.F., M.O., T.S., A.M.), Bedford; Department of Biostatistics (Y.T.), Boston University School of Public Health, MA; Yale School of Public Health (L.H.), New Haven, CT; Biostatistics and Epidemiology Data Analytics Center (B.M., J.P.), Boston University School of Public Health; Department of Neurology (K.T., A.B., R.A., N.K., R.S., A.M., J.M., M. Alosco), Boston University School of Medicine; Veterans Affairs Boston Healthcare System (K.T., A.B., N.K., T.S., A.M); Department of Anatomy & Neurobiology (R.A., R.K., R.S.), Boston University School of Medicine; MA; Framingham Heart Study (R.A.), National Heart, Lung, and Blood Institute, Bethesda, MD; Department of Epidemiology (R.A.), Boston University School of Public Health; Department of Psychiatry (W.Q.Q.), Boston University School of Medicine; Department of Pharmacology & Experimental Therapeutics (W.Q.Q.), Boston University School of Medicine; Department of Pathology and Laboratory Medicine (L.G.), Boston University School of Medicine; Departments of Psychiatry and Ophthalmology (L.G.), Boston University School of Medicine; Departments of Biomedical, Electrical & Computer Engineering (L.G.), Boston University College of Engineering, MA; National Alzheimer's Coordinating Center (W.K.), Department of Epidemiology, University of Washington, Seattle; Center for Biomedical Imaging (R.K.), and Boston University School of Medicine; Department of Neurosurgery (R.S.), Boston University School of Medicine, MA.
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Lima M, Tábuas‐Pereira M, Durães J, Faustino P, Simões MR, Kukull W, Knopman DS, Santana I. Portuguese version of the CDR plus NACC FTLD: Validation studies. Alz & Dem Diag Ass & Dis Mo 2022; 14:e12355. [DOI: 10.1002/dad2.12355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 06/21/2022] [Accepted: 08/09/2022] [Indexed: 12/02/2022]
Affiliation(s)
- Marisa Lima
- Neurology Department Centro Hospitalar e Universitário de Coimbra Coimbra Portugal
- University of Coimbra, Center for Research in Neuropsychology and Cognitive Behavioral Intervention (CINEICC) PsyAssessmentLab Faculty of Psychology and Educational Sciences Coimbra Portugal
- University of Coimbra Center for Innovative Biomedicine and Biotechnology (CIBB) Coimbra Portugal
| | - Miguel Tábuas‐Pereira
- Neurology Department Centro Hospitalar e Universitário de Coimbra Coimbra Portugal
- University of Coimbra Center for Innovative Biomedicine and Biotechnology (CIBB) Coimbra Portugal
- University of Coimbra Faculty of Medicine Coimbra Portugal
| | - João Durães
- Neurology Department Centro Hospitalar e Universitário de Coimbra Coimbra Portugal
- University of Coimbra Center for Innovative Biomedicine and Biotechnology (CIBB) Coimbra Portugal
- University of Coimbra Faculty of Medicine Coimbra Portugal
| | - Pedro Faustino
- Neurology Department Centro Hospitalar e Universitário de Coimbra Coimbra Portugal
| | - Mário R. Simões
- University of Coimbra, Center for Research in Neuropsychology and Cognitive Behavioral Intervention (CINEICC) PsyAssessmentLab Faculty of Psychology and Educational Sciences Coimbra Portugal
| | - Walter Kukull
- National Alzheimer's Coordinating Center Department of Epidemiology University of Washington Seattle Washington USA
| | | | - Isabel Santana
- Neurology Department Centro Hospitalar e Universitário de Coimbra Coimbra Portugal
- University of Coimbra Center for Innovative Biomedicine and Biotechnology (CIBB) Coimbra Portugal
- University of Coimbra Faculty of Medicine Coimbra Portugal
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Boccardi M, Monsch AU, Ferrari C, Altomare D, Berres M, Bos I, Buchmann A, Cerami C, Didic M, Festari C, Nicolosi V, Sacco L, Aerts L, Albanese E, Annoni JM, Ballhausen N, Chicherio C, Démonet JF, Descloux V, Diener S, Ferreira D, Georges J, Gietl A, Girtler N, Kilimann I, Klöppel S, Kustyniuk N, Mecocci P, Mella N, Pigliautile M, Seeher K, Shirk SD, Toraldo A, Brioschi-Guevara A, Chan KCG, Crane PK, Dodich A, Grazia A, Kochan NA, de Oliveira FF, Nobili F, Kukull W, Peters O, Ramakers I, Sachdev PS, Teipel S, Visser PJ, Wagner M, Weintraub S, Westman E, Froelich L, Brodaty H, Dubois B, Cappa SF, Salmon D, Winblad B, Frisoni GB, Kliegel M. Harmonizing neuropsychological assessment for mild neurocognitive disorders in Europe. Alzheimers Dement 2022; 18:29-42. [PMID: 33984176 PMCID: PMC9642857 DOI: 10.1002/alz.12365] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 03/11/2021] [Accepted: 04/05/2021] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Harmonized neuropsychological assessment for neurocognitive disorders, an international priority for valid and reliable diagnostic procedures, has been achieved only in specific countries or research contexts. METHODS To harmonize the assessment of mild cognitive impairment in Europe, a workshop (Geneva, May 2018) convened stakeholders, methodologists, academic, and non-academic clinicians and experts from European, US, and Australian harmonization initiatives. RESULTS With formal presentations and thematic working-groups we defined a standard battery consistent with the U.S. Uniform DataSet, version 3, and homogeneous methodology to obtain consistent normative data across tests and languages. Adaptations consist of including two tests specific to typical Alzheimer's disease and behavioral variant frontotemporal dementia. The methodology for harmonized normative data includes consensus definition of cognitively normal controls, classification of confounding factors (age, sex, and education), and calculation of minimum sample sizes. DISCUSSION This expert consensus allows harmonizing the diagnosis of neurocognitive disorders across European countries and possibly beyond.
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Affiliation(s)
- Marina Boccardi
- DZNE - Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald site, Rostock, Germany
- LANVIE - Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland
| | - Andreas U Monsch
- Memory Clinic, University Department of Geriatric Medicine FELIX PLATTER, Faculty of Psychology, University of Basel, Basel, Switzerland
| | - Clarissa Ferrari
- Unit of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Daniele Altomare
- LANVIE - Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland
- Memory Center, Geneva University Hospitals, Geneva, Switzerland
| | - Manfred Berres
- Department of Mathematics and Technology, University of Applied Sciences Koblenz, Koblenz, Germany
| | - Isabelle Bos
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Andreas Buchmann
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
| | - Chiara Cerami
- Institute for Advanced Studies (IUSS-Pavia), Pavia, Italy, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | - Mira Didic
- APHM, Timone, Service de Neurologie et Neuropsychologie, Hôpital Timone Adultes, Marseille, France
- Aix-Marseille Université, Inserm, INS, UMR_S 1106, 13005, Marseille, France
| | - Cristina Festari
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Valentina Nicolosi
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Leonardo Sacco
- Clinic of Neurology, Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland
| | - Liesbeth Aerts
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | | | - Jean-Marie Annoni
- Department of Neuroscience and Movement Sciences, University of Geneva and Fribourg Hospital, Geneva, Switzerland
| | - Nicola Ballhausen
- Department of Developmental Psychology, Tilburg University, Tilburg, The Netherlands
| | | | - Jean-François Démonet
- Leenaards Memory Centre-CHUV, Clinical Neuroscience Department, Cité Hospitalière CHUV, Lausanne, Switzerland
| | - Virginie Descloux
- Department of Neuroscience and Movement Sciences, University of Geneva and Fribourg Hospital, Geneva, Switzerland
| | - Suzie Diener
- Department of Neurology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | | | - Anton Gietl
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
| | - Nicola Girtler
- Clinical Psychology and Psychotherapy, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dept of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Ingo Kilimann
- DZNE - Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald site, Rostock, Germany
| | - Stefan Klöppel
- Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Nicole Kustyniuk
- Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Patrizia Mecocci
- Department of Medicine and Surgery, Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Nathalie Mella
- Cognitive Aging Lab, University of Geneva, Geneva, Switzerland
| | - Martina Pigliautile
- Department of Medicine and Surgery, Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Katrin Seeher
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Steven D Shirk
- VISN 1 New England MIRECC and VISN 1 New England GRECC, Bedford VA Healthcare System, Bedford, Department of Psychiatry and Population and Quantitative Health Sciences, University of Massachusetts Medical School, Massachusetts, USA
| | - Alessio Toraldo
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, Milan Center for Neuroscience, Milan, Italy
| | - Andrea Brioschi-Guevara
- Leenaards Memory Centre-CHUV, Clinical Neuroscience Department, Cité Hospitalière CHUV, Lausanne, Switzerland
| | - Kwun C G Chan
- National Alzheimer's Coordination Center (NACC), Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Alessandra Dodich
- Neuroimaging and Innovative Molecular Tracers Laboratory, and Division of Nuclear Medicine, Diagnostic Departement, University of Geneva, University Hospitals of Geneva, Geneva, Switzerland
- Centre for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Alice Grazia
- DZNE - Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald site, Rostock, Germany
| | - Nicole A Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | | | - Flavio Nobili
- Neurology Clinic, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dept of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Walter Kukull
- National Alzheimer's Coordination Center (NACC), Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Oliver Peters
- Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Charité, Universitätsmedizin Berlin, Berlin, Germany, ZNE, German Center for Neurodegenerative Diseases, Berlin, Germany
| | - Inez Ramakers
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Stefan Teipel
- DZNE - Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald site, Rostock, Germany
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Michael Wagner
- DZNE, German Center for Neurodegenerative Diseases, Bonn, Germany
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern Feinberg School of Medicine, Chicago, Illinois
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Lutz Froelich
- University of Heidelberg, Heidelberg, Central Institute of Mental Health, Medical Faculty Mannheim, Mannheim, Germany
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Bruno Dubois
- Hôpital Pitié-Salpêtrière, AP-HP, Alzheimer Research Institute (IM2A), and Institut du cerveau et la moelle (ICM), Sorbonne Université, Paris, France
| | - Stefano F Cappa
- Institute for Advanced Studies (IUSS-Pavia), Pavia, Italy, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | - David Salmon
- Department of Neurosciences, University of California San Diego School of Medicine, San Diego, USA
| | - Bengt Winblad
- Dept NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Giovanni B Frisoni
- LANVIE - Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland
- Memory Center, Geneva University Hospitals, Geneva, Switzerland
| | - Matthias Kliegel
- Cognitive Aging Lab, Department of Psychology, University of Geneva, Geneva, Switzerland
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8
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Gentry MT, Lapid MI, Syrjanen J, Calvert K, Hughes S, Brushaber D, Kremers W, Bove J, Brannelly P, Coppola G, Dheel C, Dickerson B, Dickinson S, Faber K, Fields J, Fong J, Foroud T, Forsberg L, Gavrilova R, Gearhart D, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grossman M, Haley D, Heuer H, Hsiung GY, Huey E, Irwin D, Jones D, Jones L, Kantarci K, Karydas A, Knopman D, Kornak J, Kramer J, Kukull W, Lucente D, Lungu C, Mackenzie I, Manoochehri M, McGinnis S, Miller B, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin K, Rascovsky K, Sengdy P, Shaw L, Tatton N, Taylor J, Toga A, Trojanowski J, Weintraub S, Wong B, Wszolek Z, Boeve BF, Boxer A, Rosen H. Quality of life and caregiver burden in familial frontotemporal lobar degeneration: Analyses of symptomatic and asymptomatic individuals within the LEFFTDS cohort. Alzheimers Dement 2020; 16:1115-1124. [PMID: 32656921 PMCID: PMC7534513 DOI: 10.1002/alz.12095] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE The Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects evaluates familial frontotemporal lobar degeneration (FTLD) kindreds with MAPT, GRN, or C9orf72 mutations. Objectives were to examine whether health-related quality of life (HRQoL) correlates with clinical symptoms and caregiver burden, and whether self-rated and informant-rated HRQoL would correlate with each other. METHODS Individuals were classified using the Clinical Dementia Rating (CDR® ) Scale plus National Alzheimer's Coordinating Center (NACC) FTLD. HRQoL was measured with DEMQOL and DEMQOL-proxy; caregiver burden with the Zarit Burden Interview (ZBI). For analysis, Pearson correlations and weighted kappa statistics were calculated. RESULTS The cohort of 312 individuals included symptomatic and asymptomatic individuals. CDR® plus NACC FTLD was negatively correlated with DEMQOL (r = -0.20, P = .001), as were ZBI and DEMQOL (r = -0.22, P = .0009). There was fair agreement between subject and informant DEMQOL (κ = 0.36, P <.0001). CONCLUSION Lower HRQoL was associated with higher cognitive/behavior impairment and higher caregiver burden. These findings demonstrate the negative impact of FTLD on individuals and caregivers.
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Affiliation(s)
| | | | | | | | | | | | | | - Jessica Bove
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Patrick Brannelly
- Tau Consortium, Rainwater Charitable Foundation, Fort Worth, Texas, USA
| | | | | | | | - Susan Dickinson
- Association for Frontotemporal Degeneration, Radnor, Pennsylvania, USA
| | - Kelley Faber
- National Cell Repository for Alzheimer's Disease (NCRAD), Indiana University, Indianapolis, Indiana, USA
| | | | | | - Tatiana Foroud
- National Cell Repository for Alzheimer's Disease (NCRAD), Indiana University, Indianapolis, Indiana, USA
| | | | | | | | | | | | | | | | | | | | | | - Ging-Yuek Hsiung
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Edward Huey
- Columbia University, New York, New York, USA
| | - David Irwin
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Lynne Jones
- Washington University, St. Louis, Missouri, USA
| | | | | | | | | | | | - Walter Kukull
- National Alzheimer's Coordinating Center (NACC), University of Washington, Seattle, Washington, USA
| | | | - Codrin Lungu
- National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, Maryland, USA
| | - Ian Mackenzie
- University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | | | | | | | - Madeline Potter
- National Cell Repository for Alzheimer's Disease (NCRAD), Indiana University, Indianapolis, Indiana, USA
| | | | | | | | | | - Pheth Sengdy
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Leslie Shaw
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nadine Tatton
- Association for Frontotemporal Degeneration, Radnor, Pennsylvania, USA
| | | | - Arthur Toga
- Laboratory of Neuroimaging (LONI), USC, Los Angeles, California, USA
| | | | | | - Bonnie Wong
- Harvard University/MGH, Boston, Massachusetts, USA
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9
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Fan CC, Banks SJ, Thompson WK, Chen CH, McEvoy LK, Tan CH, Kukull W, Bennett DA, Farrer LA, Mayeux R, Schellenberg GD, Andreassen OA, Desikan R, Dale AM. Sex-dependent autosomal effects on clinical progression of Alzheimer's disease. Brain 2020; 143:2272-2280. [PMID: 32591829 PMCID: PMC7364740 DOI: 10.1093/brain/awaa164] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 02/27/2020] [Accepted: 03/31/2020] [Indexed: 11/15/2022] Open
Abstract
Sex differences in the manifestations of Alzheimer's disease are under intense investigation. Despite the emerging importance of polygenic predictions for Alzheimer's disease, sex-dependent polygenic effects have not been demonstrated. Here, using a sex crossover analysis, we show that sex-dependent autosomal genetic effects on Alzheimer's disease can be revealed by characterizing disease progress via the hazard function. We first performed sex-stratified genome-wide associations, and then applied derived sex-dependent weights to two independent cohorts. Relative to sex-mismatched scores, sex-matched polygenic hazard scores showed significantly stronger associations with age-at-disease-onset, clinical progression, amyloid deposition, neurofibrillary tangles, and composite neuropathological scores, independent of apolipoprotein E. Models without using hazard weights, i.e. polygenic risk scores, showed lower predictive power than polygenic hazard scores with no evidence for sex differences. Our results indicate that revealing sex-dependent genetic architecture requires the consideration of temporal processes of Alzheimer's disease. This has strong implications not only for the genetic underpinning of Alzheimer's disease but also for how we estimate sex-dependent polygenic effects for clinical use.
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Affiliation(s)
- Chun Chieh Fan
- Center for Human Development, University of California, San Diego, USA
| | - Sarah J Banks
- Department of Neuroscience, University of California, San Diego, USA
| | - Wesley K Thompson
- Family Medicine and Public Health, University of California, San Diego, USA
| | - Chi-Hua Chen
- Department of Radiology, University of California, San Diego, USA
| | - Linda K McEvoy
- Family Medicine and Public Health, University of California, San Diego, USA
- Department of Radiology, University of California, San Diego, USA
| | - Chin Hong Tan
- Department of Psychology, Nanyang Technological University, Singapore
| | - Walter Kukull
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, USA
| | - David A Bennett
- Department of Neurological Science, Rush Medical College, Chicago, USA
| | | | - Richard Mayeux
- Department of Neurology and the Taub Institute at Columbia University, New York, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Ole A Andreassen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Rahul Desikan
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Anders M Dale
- Department of Radiology, University of California, San Diego, USA
- Center for Multimodal Imaging and Genetics, University of California, San Diego, USA
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10
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Mock C, Teylan M, Beecham G, Besser L, Cairns NJ, Crary JF, Katsumata Y, Nelson PT, Kukull W. The Utility of the National Alzheimer's Coordinating Center's Database for the Rapid Assessment of Evolving Neuropathologic Conditions. Alzheimer Dis Assoc Disord 2020; 34:105-111. [PMID: 32304374 PMCID: PMC7242145 DOI: 10.1097/wad.0000000000000380] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The field of dementia research is rapidly evolving, especially with regards to our understanding of the diversity of neuropathologic changes that underlie cognitive decline. Definitions and criteria for known conditions are being periodically revised and refined, and new findings are being made about neuropathologic features associated with dementia status. The database maintained by the National Alzheimer's Coordinating Center (NACC) offer researchers a robust, rapid, and statistically well-powered method to evaluate the implications of newly identified neuropathologic conditions with regards to comorbidities, demographic associations, cognitive status, neuropsychologic tests, radiographic findings, and genetics. NACC data derive from dozens of excellent US Alzheimer disease research centers, which collectively follow thousands of research volunteers longitudinally. Many of the research participants are autopsied using state-of-the-art methods. In this article, we describe the NACC database and give examples of its use in evaluating recently revised neuropathologic diagnoses, including primary age-related tauopathy (PART), limbic predominant age-related TDP-43 encephalopathy (LATE), and the preclinical stage of Alzheimer disease neuropathologic change, based on the National Institute on Aging-Alzheimer's Association consensus guidelines. The dementia research community is encouraged to make use of this readily available database as new neuropathologic changes are recognized and defined in this rapidly evolving field.
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Affiliation(s)
- Charles Mock
- National Alzheimer’s Coordinating Center, University of Washington, WA
| | - Merilee Teylan
- National Alzheimer’s Coordinating Center, University of Washington, WA
| | - Gary Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL
| | | | - Nigel J. Cairns
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - John F. Crary
- Neuropathology Brain Bank & Research Core, Departments of Pathology & Neuroscience, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY
| | - Peter T. Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY
| | - Walter Kukull
- National Alzheimer’s Coordinating Center, University of Washington, WA
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11
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Xiong C, Luo J, Coble D, Agboola F, Kukull W, Morris JC. Complex interactions underlie racial disparity in the risk of developing Alzheimer's disease dementia. Alzheimers Dement 2020; 16:589-597. [PMID: 32067357 PMCID: PMC7259475 DOI: 10.1002/alz.12060] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 12/31/2019] [Accepted: 01/03/2020] [Indexed: 11/12/2022]
Abstract
INTRODUCTION We aim to determine racial disparities and their modifying factors in risk for Alzheimer's disease (AD) dementia among cognitively normal individuals 65 years or older. METHODS Longitudinal data from the National Alzheimer's Coordinating Center Uniform Data Set on 1229 African Americans (AAs) and 6679 whites were analyzed for the risk of AD using competing risk models with death as a competing event. RESULTS Major AD risk factors modified racial differences which, when statistically significant, occurred only with older age among APOE ε4 negative individuals, but also with younger age among APOE ε4 positive individuals. The racial differences favored AAs among individuals with body mass index (BMI) < 30, but whites among individuals with a high BMI (≥ 30), and were additionally modified by sex, education, hypertension, and smoking status. CONCLUSIONS The presence, direction, and relative magnitude of racial disparity for AD represent an interactive function of major AD and cerebrovascular risk factors.
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Affiliation(s)
- Chengjie Xiong
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jingqin Luo
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Siteman Cancer Center Biostatistics Core, Washington University School of Medicine, St
| | - Dean Coble
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Folasade Agboola
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Walter Kukull
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - John C. Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, US
- Departments of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, 63110, USA
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12
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Olney NT, Ong E, Goh SYM, Bajorek L, Dever R, Staffaroni AM, Cobigo Y, Bock M, Chiang K, Ljubenkov P, Kornak J, Heuer HW, Wang P, Rascovsky K, Wolf A, Appleby B, Bove J, Bordelon Y, Brannelly P, Brushaber D, Caso C, Coppola G, Dickerson BC, Dickinson S, Domoto-Reilly K, Faber K, Ferrall J, Fields J, Fishman A, Fong J, Foroud T, Forsberg LK, Gearhart DJ, Ghazanfari B, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford NR, Grant I, Grossman M, Haley D, Hsiung G, Huey ED, Irwin DJ, Jones DT, Kantarci K, Karydas AM, Kaufer D, Kerwin D, Knopman DS, Kramer JH, Kraft R, Kremers W, Kukull W, Lapid MI, Litvan I, Mackenzie IR, Maldonado M, Manoochehri M, McGinnis SM, McKinley EC, Mendez MF, Miller BL, Onyike C, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin KP, Roberson ED, Rogalski E, Sengdy P, Shaw LM, Syrjanen J, Tartaglia MC, Tatton N, Taylor J, Toga A, Trojanowski JQ, Weintraub S, Wong B, Wszolek Z, Boxer AL, Boeve BF, Rosen HJ. Clinical and volumetric changes with increasing functional impairment in familial frontotemporal lobar degeneration. Alzheimers Dement 2020; 16:49-59. [PMID: 31784375 PMCID: PMC6988137 DOI: 10.1016/j.jalz.2019.08.196] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Introduction: The Advancing Research and Treatment in Frontotemporal Lobar Degeneration and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects longitudinal studies were designed to describe the natural history of familial-frontotemporal lobar degeneration due to autosomal dominant mutations. Methods: We examined cognitive performance, behavioral ratings, and brain volumes from the first time point in 320 MAPT, GRN, and C9orf72 family members, including 102 non–mutation carriers, 103 asymptomatic carriers, 43 mildly/questionably symptomatic carriers, and 72 carriers with dementia. Results: Asymptomatic carriers showed similar scores on all clinical measures compared with noncarriers but reduced frontal and temporal volumes. Those with mild/questionable impairment showed decreased verbal recall, fluency, and Trail Making Test performance and impaired mood and self-monitoring. Dementia was associated with impairment in all measures. All MAPT carriers with dementia showed temporal atrophy, but otherwise, there was no single cognitive test or brain region that was abnormal in all subjects. Discussion: Imaging changes appear to precede clinical changes in familial-frontotemporal lobar degeneration, but specific early clinical and imaging changes vary across individuals.
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Affiliation(s)
- Nicholas T. Olney
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Elise Ong
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Sheng-Yang M. Goh
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Lynn Bajorek
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Reilly Dever
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Adam M. Staffaroni
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Yann Cobigo
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Meredith Bock
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Kevin Chiang
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Peter Ljubenkov
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - John Kornak
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Hilary W. Heuer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Ping Wang
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Katya Rascovsky
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amelia Wolf
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Brian Appleby
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA
| | - Jessica Bove
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yvette Bordelon
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Patrick Brannelly
- Tau Consortium, Rainwater Charitable Foundation, Fort Worth, TX, USA
| | | | - Christine Caso
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Giovanni Coppola
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Bradford C. Dickerson
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
| | - Susan Dickinson
- Association for Frontotemporal Degeneration, Radnor, PA, USA
| | | | - Kelly Faber
- National Centralized Repository for Alzheimer’s Disease and Related Disorders (NCRAD), Indiana University, Indianapolis, IN, USA
| | - Jessica Ferrall
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Julie Fields
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Ann Fishman
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Jamie Fong
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Tatiana Foroud
- National Centralized Repository for Alzheimer’s Disease and Related Disorders (NCRAD), Indiana University, Indianapolis, IN, USA
| | | | | | - Behnaz Ghazanfari
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Nupur Ghoshal
- Department of Psychiatry, Washington University, St. Louis, MO, USA
- Department of Neurology, Washington University, St. Louis, MO, USA
| | - Jill Goldman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, NY, USA
- Department of Neurology, Columbia University, New York, NY, USA
| | | | | | - Ian Grant
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dana Haley
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Gingyuek Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Edward D. Huey
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, NY, USA
- Department of Neurology, Columbia University, New York, NY, USA
| | - David J. Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David T. Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Kejal Kantarci
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Anna M. Karydas
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel Kaufer
- Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Diana Kerwin
- Department of Neurology and Neurotherapeutics, Center for Alzheimer’s and Neurodegenerative Diseases, The University of Texas, Southwestern Medical Center at Dallas, Dallas, TX, USA
- Department of Internal Medicine, The University of Texas, Southwestern Medical Center at Dallas, Dallas, TX, USA
| | | | - Joel H. Kramer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Ruth Kraft
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Walter Kremers
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Walter Kukull
- National Alzheimer Coordinating Center (NACC), University of Washington, Seattle, WA, USA
| | - Maria I. Lapid
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Irene Litvan
- Department of Neurosciences, Parkinson and Other Movement Disorders Center, University of California, San Diego, San Diego, CA, USA
| | - Ian R. Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Miranda Maldonado
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Masood Manoochehri
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, NY, USA
- Department of Neurology, Columbia University, New York, NY, USA
| | - Scott M. McGinnis
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
| | - Emily C. McKinley
- Department of Neurology, Alzheimer’s Disease Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mario F. Mendez
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Bruce L. Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Chiadi Onyike
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Alex Pantelyat
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | | | - Len Petrucelli
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Madeleine Potter
- National Centralized Repository for Alzheimer’s Disease and Related Disorders (NCRAD), Indiana University, Indianapolis, IN, USA
| | | | - Eliana M. Ramos
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Katherine P. Rankin
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Erik D. Roberson
- Department of Neurology, Alzheimer’s Disease Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Emily Rogalski
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Pheth Sengdy
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Leslie M. Shaw
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jeremy Syrjanen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - M. Carmela Tartaglia
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Nadine Tatton
- Association for Frontotemporal Degeneration, Radnor, PA, USA
| | - Joanne Taylor
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Arthur Toga
- Laboratory of Neuroimaging (LONI), University of Southern California, Los Angeles, CA, USA
| | - John Q. Trojanowski
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sandra Weintraub
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Bonnie Wong
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
| | | | - Adam L. Boxer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Brad F. Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Howard J. Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
- Corresponding author. Tel.: 1 415 476 5567; Fax: 1 415 476 1816.,
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Miyagawa T, Brushaber D, Syrjanen J, Kremers W, Fields J, Forsberg LK, Heuer HW, Knopman D, Kornak J, Boxer A, Rosen HJ, Boeve BF, Appleby B, Caso C, Bordelon Y, Coppola G, Bove J, Dever R, Brannelly P, Dheel C, Dickerson B, Dickinson S, Dominguez S, Domoto-Reilly K, Faber K, Ferrell J, Fishman A, Fong J, Foroud T, Gavrilova R, Gearhart D, Ghazanfari B, Ghoshal N, Goldman JS, Graff-Radford J, Graff-Radford N, Grant I, Grossman M, Haley D, Hsiung R, Huey E, Irwin D, Jones D, Jones L, Kantarci K, Karydas A, Kaufer D, Kerwin D, Kraft R, Kramer J, Kukull W, Litvan I, Lucente D, Lungu C, Mackenzie I, Maldonado M, Manoochehri M, McGinnis S, McKinley E, Mendez MF, Miller B, Multani N, Onyike C, Padmanabhan J, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin K, Rascovsky K, Roberson ED, Rogalski E, Sengdy P, Shaw L, Tartaglia MC, Tatton N, Taylor J, Toga A, Trojanowski JQ, Wang P, Weintraub S, Wong B, Wszolek Z. Utility of the global CDR ® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium. Alzheimers Dement 2020; 16:106-117. [PMID: 31914218 PMCID: PMC7202045 DOI: 10.1002/alz.12033] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 11/20/2019] [Accepted: 12/03/2019] [Indexed: 11/10/2022]
Abstract
INTRODUCTION We created global rating scoring rules for the CDR® plus NACC FTLD to detect and track early frontotemporal lobar degeneration (FTLD) and to conduct clinical trials in FTLD. METHODS The CDR plus NACC FTLD rating was applied to 970 sporadic and familial participants from the baseline visit of Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL)/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS). Each of the eight domains of the CDR plus NACC FTLD was equally weighed in determining the global score. An interrater reliability study was completed for 40 participants. RESULTS The CDR plus NACC FTLD showed very good interrater reliability. It was especially useful in detecting clinical features of mild non-fluent/agrammatic variant primary progressive aphasia participants. DISCUSSION The global CDR plus NACC FTLD score could be an attractive outcome measure for clinical trials in symptomatic FTLD, and may be useful in natural history studies and clinical trials in FTLD spectrum disorders.
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Affiliation(s)
| | | | | | | | | | | | - Hilary W. Heuer
- University of California San Francisco, San Francisco, California, USA
| | | | - John Kornak
- University of California San Francisco, San Francisco, California, USA
| | - Adam Boxer
- University of California San Francisco, San Francisco, California, USA
| | - Howard J. Rosen
- University of California San Francisco, San Francisco, California, USA
| | | | - Brian Appleby
- Case Western Reserve University, Cleveland, Ohio, USA
| | | | - Yvette Bordelon
- University of California Los Angeles, Los Angeles, California, USA
| | - Giovanni Coppola
- University of California Los Angeles, Los Angeles, California, USA
| | - Jessica Bove
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Reilly Dever
- University of California San Francisco, San Francisco, California, USA
| | - Patrick Brannelly
- Tau Consortium, Rainwater Charitable Foundation, Fort Worth, Texas, USA
| | | | - Bradford Dickerson
- Harvard University/Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Susan Dickinson
- Association for Frontotemporal Degeneration, Radnor, Pennsylvania, USA
| | | | | | - Kelley Faber
- National Centralized Repository for Alzheimer’s Disease and Related Dementias (NCRAD), Indiana University, Indianapolis, Indiana, USA
| | - Jessica Ferrell
- University of North Carolina, Chapel Hill, North Carolina, USA
| | - Ann Fishman
- Johns Hopkins University, Baltimore, Maryland, USA
| | - Jamie Fong
- University of California San Francisco, San Francisco, California, USA
| | - Tatiana Foroud
- National Centralized Repository for Alzheimer’s Disease and Related Dementias (NCRAD), Indiana University, Indianapolis, Indiana, USA
| | | | | | | | | | | | | | | | - Ian Grant
- Northwestern University, Chicago, Illinois, USA
| | | | | | - Robin Hsiung
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Edward Huey
- Columbia University, New York, New York, USA
| | - David Irwin
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Lynne Jones
- Washington University, St. Louis, Missouri, USA
| | | | - Anna Karydas
- University of California San Francisco, San Francisco, California, USA
| | - Daniel Kaufer
- University of North Carolina, Chapel Hill, North Carolina, USA
| | - Diana Kerwin
- University of Texas Southwestern, Dallas, Texas, USA
| | | | - Joel Kramer
- University of California San Francisco, San Francisco, California, USA
| | - Walter Kukull
- National Alzheimer Coordinating Center (NACC)University of Washington, Seattle, Washington, USA
| | - Irene Litvan
- University of California San Diego, San Diego, California, USA
| | - Diane Lucente
- Harvard University/Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Codrin Lungu
- National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, Maryland, USA
| | - Ian Mackenzie
- University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | - Scott McGinnis
- Harvard University/Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Mario F. Mendez
- University of California Los Angeles, Los Angeles, California, USA
| | - Bruce Miller
- University of California San Francisco, San Francisco, California, USA
| | | | | | - Jaya Padmanabhan
- Harvard University/Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | | | | | - Madeline Potter
- National Centralized Repository for Alzheimer’s Disease and Related Dementias (NCRAD), Indiana University, Indianapolis, Indiana, USA
| | | | - Eliana M. Ramos
- University of California Los Angeles, Los Angeles, California, USA
| | - Kate Rankin
- University of California San Francisco, San Francisco, California, USA
| | | | | | | | - Pheth Sengdy
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Leslie Shaw
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Maria C. Tartaglia
- National Centralized Repository for Alzheimer’s Disease and Related Dementias (NCRAD), Indiana University, Indianapolis, Indiana, USA
| | - Nadine Tatton
- Association for Frontotemporal Degeneration, Radnor, Pennsylvania, USA
| | - Joanne Taylor
- University of California San Francisco, San Francisco, California, USA
| | - Arthur Toga
- Laboratory of Neuroimaging (LONI), University of Southern California, Los Angeles, California, USA
| | | | - Ping Wang
- University of California San Francisco, San Francisco, California, USA
| | | | - Bonnie Wong
- Harvard University/Massachusetts General Hospital, Boston, Massachusetts, USA
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Ramos EM, Dokuru DR, Van Berlo V, Wojta K, Wang Q, Huang AY, Deverasetty S, Qin Y, van Blitterswijk M, Jackson J, Appleby B, Bordelon Y, Brannelly P, Brushaber DE, Dickerson B, Dickinson S, Domoto-Reilly K, Faber K, Fields J, Fong J, Foroud T, Forsberg LK, Gavrilova R, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grant I, Grossman M, Heuer HW, Hsiung GYR, Huey E, Irwin D, Kantarci K, Karydas A, Kaufer D, Kerwin D, Knopman D, Kornak J, Kramer JH, Kremers W, Kukull W, Litvan I, Ljubenkov P, Lungu C, Mackenzie I, Mendez MF, Miller BL, Onyike C, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rankin KP, Rascovsky K, Roberson ED, Rogalski E, Shaw L, Syrjanen J, Tartaglia MC, Tatton N, Taylor J, Toga A, Trojanowski JQ, Weintraub S, Wong B, Wszolek Z, Rademakers R, Boeve BF, Rosen HJ, Boxer AL, Coppola G. Genetic screening of a large series of North American sporadic and familial frontotemporal dementia cases. Alzheimers Dement 2020; 16:118-130. [PMID: 31914217 PMCID: PMC7199807 DOI: 10.1002/alz.12011] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 08/13/2019] [Accepted: 11/18/2019] [Indexed: 12/13/2022]
Abstract
INTRODUCTION The Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) consortia are two closely connected studies, involving multiple North American centers that evaluate both sporadic and familial frontotemporal dementia (FTD) participants and study longitudinal changes. METHODS We screened the major dementia-associated genes in 302 sporadic and 390 familial (symptomatic or at-risk) participants enrolled in these studies. RESULTS Among the sporadic patients, 16 (5.3%) carried chromosome 9 open reading frame 72 (C9orf72), microtubule-associated protein tau (MAPT), and progranulin (GRN) pathogenic variants, whereas in the familial series we identified 207 carriers from 146 families. Of interest, one patient was found to carry a homozygous C9orf72 expansion, while another carried both a C9orf72 expansion and a GRN pathogenic variant. We also identified likely pathogenic variants in the TAR DNA binding protein (TARDBP), presenilin 1 (PSEN1), and valosin containing protein (VCP) genes, and a subset of variants of unknown significance in other rare FTD genes. DISCUSSION Our study reports the genetic characterization of a large FTD series and supports an unbiased sequencing screen, irrespective of clinical presentation or family history.
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Affiliation(s)
- Eliana Marisa Ramos
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Deepika Reddy Dokuru
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Victoria Van Berlo
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Kevin Wojta
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Qing Wang
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Alden Y. Huang
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Sandeep Deverasetty
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Yue Qin
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | | | | | | | - Yvette Bordelon
- University of California Los Angeles, Los Angeles, California
| | | | | | | | - Susan Dickinson
- Association for Frontotemporal Degeneration, Radnor, Pennsylvania
| | | | - Kelley Faber
- National Centralized Repository for Alzheimer’s Disease and Related Dementia (NCRAD), Indiana University, Indianapolis, Indiana
| | | | - Jamie Fong
- University of California, San Francisco, San Francisco, California
| | - Tatiana Foroud
- National Centralized Repository for Alzheimer’s Disease and Related Dementia (NCRAD), Indiana University, Indianapolis, Indiana
| | | | | | | | | | | | | | - Ian Grant
- Northwestern University, Chicago, Illinois
| | | | - Hilary W. Heuer
- University of California, San Francisco, San Francisco, California
| | | | | | - David Irwin
- University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Anna Karydas
- University of California, San Francisco, San Francisco, California
| | - Daniel Kaufer
- University of North Carolina, Chapel Hill, North Carolina
| | - Diana Kerwin
- University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - John Kornak
- University of California, San Francisco, San Francisco, California
| | - Joel H. Kramer
- University of California, San Francisco, San Francisco, California
| | | | - Walter Kukull
- National Alzheimer Coordinating Center (NACC), University of Washington, Seattle, Washington
| | - Irene Litvan
- University of California, San Diego, San Diego, California
| | - Peter Ljubenkov
- University of California, San Francisco, San Francisco, California
| | - Codrin Lungu
- National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, Maryland
| | - Ian Mackenzie
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Mario F. Mendez
- University of California Los Angeles, Los Angeles, California
| | - Bruce L. Miller
- University of California, San Francisco, San Francisco, California
| | | | | | | | | | - Madeline Potter
- National Centralized Repository for Alzheimer’s Disease and Related Dementia (NCRAD), Indiana University, Indianapolis, Indiana
| | | | | | | | | | - Leslie Shaw
- University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | - Nadine Tatton
- Association for Frontotemporal Degeneration, Radnor, Pennsylvania
| | - Joanne Taylor
- University of California, San Francisco, San Francisco, California
| | - Arthur Toga
- Laboratory of Neuroimaging (LONI), USC, Los Angeles, California
| | | | | | - Bonnie Wong
- Harvard University/MGH, Boston, Massachusetts
| | | | | | | | - Howard J. Rosen
- University of California, San Francisco, San Francisco, California
| | - Adam L. Boxer
- University of California, San Francisco, San Francisco, California
| | - Giovanni Coppola
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
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15
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Heuer HW, Wang P, Rascovsky K, Wolf A, Appleby B, Bove J, Bordelon Y, Brannelly P, Brushaber DE, Caso C, Coppola G, Dickerson B, Dickinson S, Domoto-Reilly K, Faber K, Ferrall J, Fields J, Fishman A, Fong J, Foroud T, Forsberg LK, Gearhart D, Ghazanfari B, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grant I, Grossman M, Haley D, Hsiung GY, Huey E, Irwin D, Jones D, Kantarci K, Karydas A, Kaufer D, Kerwin D, Knopman D, Kornak J, Kramer JH, Kraft R, Kremers WK, Kukull W, Litvan I, Ljubenkov P, Mackenzie IR, Maldonado M, Manoochehri M, McGinnis S, McKinley E, Mendez MF, Miller BL, Onyike C, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin KP, Roberson ED, Rogalski E, Sengdy P, Shaw L, Syrjanen J, Tartaglia MC, Tatton N, Taylor J, Toga A, Trojanowski J, Weintraub S, Wong B, Wszolek Z, Boeve BF, Rosen HJ, Boxer AL. Comparison of sporadic and familial behavioral variant frontotemporal dementia (FTD) in a North American cohort. Alzheimers Dement 2020; 16:60-70. [PMID: 31914226 PMCID: PMC7192555 DOI: 10.1002/alz.12046] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Behavioral variant frontotemporal dementia (bvFTD) may present sporadically or due to an autosomal dominant mutation. Characterization of both forms will improve understanding of the generalizability of assessments and treatments. METHODS A total of 135 sporadic (s-bvFTD; mean age 63.3 years; 34% female) and 99 familial (f-bvFTD; mean age 59.9; 48% female) bvFTD participants were identified. f-bvFTD cases included 43 with known or presumed chromosome 9 open reading frame 72 (C9orf72) gene expansions, 28 with known or presumed microtubule-associated protein tau (MAPT) mutations, 14 with known progranulin (GRN) mutations, and 14 with a strong family history of FTD but no identified mutation. RESULTS Participants with f-bvFTD were younger and had earlier age at onset. s-bvFTD had higher total Neuropsychiatric Inventory Questionnaire (NPI-Q) scores due to more frequent endorsement of depression and irritability. DISCUSSION f-bvFTD and s-bvFTD cases are clinically similar, suggesting the generalizability of novel biomarkers, therapies, and clinical tools developed in either form to the other.
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Affiliation(s)
- Hilary W Heuer
- University of California, San Francisco, San Francisco, California
| | - P Wang
- University of California, San Francisco, San Francisco, California
| | - K Rascovsky
- University of Pennsylvania, Philadelphia, Pennsylvania
| | - A Wolf
- University of California, San Francisco, San Francisco, California
| | - B Appleby
- Case Western Reserve University, Cleveland, Ohio
| | - J Bove
- University of Pennsylvania, Philadelphia, Pennsylvania
| | - Y Bordelon
- University of California, Los Angeles, Los Angeles, California
| | - P Brannelly
- Tau Consortium, Rainwater Charitable Foundation, Fort Worth, Texas
| | | | - C Caso
- U Washington, Seattle, Washington
| | - G Coppola
- University of California, Los Angeles, Los Angeles, California
| | - B Dickerson
- Harvard University/MGH, Boston, Massachusetts
| | - S Dickinson
- Association for Frontotemporal Degeneration, Radnor, Pennsylvania
| | | | - K Faber
- National Centralized Repository for Alzheimer's Disease and Related Disorders (NCRAD), Indiana University, Indianapolis, Indiana
| | - J Ferrall
- University of North Carolina, Chapel Hill, North Carolina
| | - J Fields
- Mayo Clinic, Rochester, Minnesota
| | - A Fishman
- Johns Hopkins University, Baltimore, Maryland
| | - J Fong
- University of California, San Francisco, San Francisco, California
| | - T Foroud
- National Centralized Repository for Alzheimer's Disease and Related Disorders (NCRAD), Indiana University, Indianapolis, Indiana
| | | | | | | | - N Ghoshal
- Washington University, St. Louis, Missouri
| | - J Goldman
- Columbia University, New York, New York
| | | | | | - I Grant
- Northwestern University, Chicago, Illinois
| | - M Grossman
- University of Pennsylvania, Philadelphia, Pennsylvania
| | - D Haley
- Mayo Clinic, Jacksonville, Florida
| | - G-Y Hsiung
- University of British Columbia, Vancouver, British Columbia, Canada
| | - E Huey
- Columbia University, New York, New York
| | - D Irwin
- University of Pennsylvania, Philadelphia, Pennsylvania
| | - D Jones
- Mayo Clinic, Rochester, Minnesota
| | | | - A Karydas
- University of California, San Francisco, San Francisco, California
| | - D Kaufer
- University of North Carolina, Chapel Hill, North Carolina
| | - D Kerwin
- The University of Texas, Southwestern Medical Center at Dallas, Dallas, Texas
| | | | - J Kornak
- University of California, San Francisco, San Francisco, California
| | - J H Kramer
- University of California, San Francisco, San Francisco, California
| | - R Kraft
- Mayo Clinic, Rochester, Minnesota
| | | | - W Kukull
- National Alzheimer Coordinating Center (NACC), University of Washington, Seattle, Washington
| | - I Litvan
- University of California, San Diego, San Diego, California
| | - P Ljubenkov
- University of California, San Francisco, San Francisco, California
| | - I R Mackenzie
- University of British Columbia, Vancouver, British Columbia, Canada
| | - M Maldonado
- University of California, Los Angeles, Los Angeles, California
| | | | - S McGinnis
- Harvard University/MGH, Boston, Massachusetts
| | - E McKinley
- University of Alabama at Birmingham, Birmingham, Alabama
| | - M F Mendez
- University of California, Los Angeles, Los Angeles, California
| | - B L Miller
- University of California, San Francisco, San Francisco, California
| | - C Onyike
- Johns Hopkins University, Baltimore, Maryland
| | - A Pantelyat
- Johns Hopkins University, Baltimore, Maryland
| | - R Pearlman
- Bluefield Project, San Francisco, California
| | | | - M Potter
- National Centralized Repository for Alzheimer's Disease and Related Disorders (NCRAD), Indiana University, Indianapolis, Indiana
| | | | - E M Ramos
- University of California, Los Angeles, Los Angeles, California
| | - K P Rankin
- University of California, San Francisco, San Francisco, California
| | - E D Roberson
- University of Alabama at Birmingham, Birmingham, Alabama
| | - E Rogalski
- Northwestern University, Chicago, Illinois
| | - P Sengdy
- University of British Columbia, Vancouver, British Columbia, Canada
| | - L Shaw
- University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | - N Tatton
- Association for Frontotemporal Degeneration, Radnor, Pennsylvania
| | - J Taylor
- University of California, San Francisco, San Francisco, California
| | - A Toga
- Laboratory of Neuroimaging (LONI), USC, Los Angeles, California
| | | | | | - B Wong
- Harvard University/MGH, Boston, Massachusetts
| | | | | | - H J Rosen
- University of California, San Francisco, San Francisco, California
| | - A L Boxer
- University of California, San Francisco, San Francisco, California
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Boeve B, Bove J, Brannelly P, Brushaber D, Coppola G, Dever R, Dheel C, Dickerson B, Dickinson S, Faber K, Fields J, Fong J, Foroud T, Forsberg L, Gavrilova R, Gearhart D, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grossman M, Haley D, Heuer H, Hsiung GYR, Huey E, Irwin D, Jones D, Jones L, Kantarci K, Karydas A, Knopman D, Kornak J, Kraft R, Kramer J, Kremers W, Kukull W, Lapid M, Lucente D, Mackenzie I, Manoochehri M, McGinnis S, Miller B, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin K, Rascovsky K, Sengdy P, Shaw L, Syrjanen J, Tatton N, Taylor J, Toga A, Trojanowski J, Weintraub S, Wong B, Wszolek Z, Boxer A, Rosen H. The longitudinal evaluation of familial frontotemporal dementia subjects protocol: Framework and methodology. Alzheimers Dement 2020; 16:22-36. [PMID: 31636026 PMCID: PMC6949411 DOI: 10.1016/j.jalz.2019.06.4947] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
INTRODUCTION It is important to establish the natural history of familial frontotemporal lobar degeneration (f-FTLD) and provide clinical and biomarker data for planning these studies, particularly in the asymptomatic phase. METHODS The Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects protocol was designed to enroll and follow at least 300 subjects for more than at least three annual visits who are members of kindreds with a mutation in one of the three most common f-FTLD genes-microtubule-associated protein tau, progranulin, or chromosome 9 open reading frame 72. RESULTS We present the theoretical considerations of f-FTLD and the aims/objectives of this protocol. We also describe the design and methodology for evaluating and rating subjects, in which detailed clinical and neuropsychological assessments are performed, biofluid samples are collected, and magnetic resonance imaging scans are performed using a standard protocol. DISCUSSION These data and samples, which are available to interested investigators worldwide, will facilitate planning for upcoming disease-modifying therapeutic trials in f-FTLD.
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Affiliation(s)
| | - Jessica Bove
- University of Pennsylvania, Philadelphia, PA, USA
| | - Patrick Brannelly
- Tau Consortium, Rainwater Charitable Foundation, Fort Worth, TX, USA
| | | | | | | | | | | | - Susan Dickinson
- Association for Frontotemporal Degeneration, Radnor, PA, USA
| | - Kelley Faber
- National Cell Repository for Alzheimer's Disease and Related Dementias (NCRAD), Indiana University, Indianapolis, IN, USA
| | | | | | - Tatiana Foroud
- National Cell Repository for Alzheimer's Disease and Related Dementias (NCRAD), Indiana University, Indianapolis, IN, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | - David Irwin
- University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | | | | | - Walter Kukull
- National Alzheimer Coordinating Center (NACC), University of Washington, Seattle, WA, USA
| | | | | | - Ian Mackenzie
- University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | | | | | | | - Madeline Potter
- National Cell Repository for Alzheimer's Disease and Related Dementias (NCRAD), Indiana University, Indianapolis, IN, USA
| | | | | | | | | | - Pheth Sengdy
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Les Shaw
- University of Pennsylvania, Philadelphia, PA, USA
| | | | - Nadine Tatton
- Association for Frontotemporal Degeneration, Radnor, PA, USA
| | | | - Arthur Toga
- Laboratory of Neuroimaging (LONI), USC, Los Angeles, CA, USA
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Kornak J, Fields J, Kremers W, Farmer S, Heuer HW, Forsberg L, Brushaber D, Rindels A, Dodge H, Weintraub S, Besser L, Appleby B, Bordelon Y, Bove J, Brannelly P, Caso C, Coppola G, Dever R, Dheel C, Dickerson B, Dickinson S, Dominguez S, Domoto-Reilly K, Faber K, Ferrall J, Fishman A, Fong J, Foroud T, Gavrilova R, Gearhart D, Ghazanfari B, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grant IM, Grossman M, Haley D, Hsiao J, Hsiung R, Huey ED, Irwin D, Jones D, Jones L, Kantarci K, Karydas A, Kaufer D, Kerwin D, Knopman D, Kraft R, Kramer J, Kukull W, Lapid M, Litvan I, Ljubenkov P, Lucente D, Lungu C, Mackenzie I, Maldonado M, Manoochehri M, McGinnis S, McKinley E, Mendez M, Miller B, Multani N, Onyike C, Padmanabhan J, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin K, Rascovsky K, Roberson ED, Rogalski-Miller E, Sengdy P, Shaw L, Staffaroni AM, Sutherland M, Syrjanen J, Tartaglia C, Tatton N, Taylor J, Toga A, Trojanowski J, Wang P, Wong B, Wszolek Z, Boeve B, Boxer A, Rosen H. Nonlinear Z-score modeling for improved detection of cognitive abnormality. Alzheimers Dement (Amst) 2019; 11:797-808. [PMID: 31872042 PMCID: PMC6911910 DOI: 10.1016/j.dadm.2019.08.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Conventional Z-scores are generated by subtracting the mean and dividing by the standard deviation. More recent methods linearly correct for age, sex, and education, so that these "adjusted" Z-scores better represent whether an individual's cognitive performance is abnormal. Extreme negative Z-scores for individuals relative to this normative distribution are considered indicative of cognitive deficiency. METHODS In this article, we consider nonlinear shape constrained additive models accounting for age, sex, and education (correcting for nonlinearity). Additional shape constrained additive models account for varying standard deviation of the cognitive scores with age (correcting for heterogeneity of variance). RESULTS Corrected Z-scores based on nonlinear shape constrained additive models provide improved adjustment for age, sex, and education, as indicated by higher adjusted-R2. DISCUSSION Nonlinearly corrected Z-scores with respect to age, sex, and education with age-varying residual standard deviation allow for improved detection of non-normative extreme cognitive scores.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Hiroko Dodge
- Oregon Health and Science University, Portland, OR, USA
- University of Michigan, Ann Arbor, MI, USA
| | | | - Lilah Besser
- Florida Atlantic University, Boca Raton, FL, USA
| | | | - Yvette Bordelon
- Department of Psychiatry, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Jessica Bove
- University of Pennsylvania, Philadelphia, PA, USA
| | - Patrick Brannelly
- Tau Consortium, Rainwater Charitable Foundation, Fort Worth, TX, USA
| | | | - Giovanni Coppola
- Department of Psychiatry, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | | | | | | | - Susan Dickinson
- Association for Frontotemporal Degeneration, Radnor, PA, USA
| | | | | | - Kelley Faber
- National Cell Repository for Alzheimer's Disease (NCRAD), Indiana University, Indianapolis, IN, USA
| | | | - Ann Fishman
- Johns Hopkins University, Baltimore, MD, USA
| | | | - Tatiana Foroud
- National Cell Repository for Alzheimer's Disease (NCRAD), Indiana University, Indianapolis, IN, USA
| | | | | | | | | | | | | | | | | | | | | | - John Hsiao
- National Institute on Aging (NIA), Bethesda, MD, USA
| | - Robin Hsiung
- University of British Columbia, Vancouver, British Columbia, Canada
| | | | - David Irwin
- University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Ruth Kraft
- Mayo Clinic Rochester, Rochester, MN, USA
| | | | - Walter Kukull
- National Alzheimer Coordinating Center (NACC), University of Washington, Seattle, WA, USA
| | | | | | | | | | - Codrin Lungu
- National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA
| | - Ian Mackenzie
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Miranda Maldonado
- Department of Psychiatry, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | | | | | - Emily McKinley
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mario Mendez
- Department of Psychiatry, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | | | | | | | | | | | | | | | - Madeline Potter
- National Cell Repository for Alzheimer's Disease (NCRAD), Indiana University, Indianapolis, IN, USA
| | | | - Eliana Marisa Ramos
- Department of Psychiatry, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | | | | | | | | | - Pheth Sengdy
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Les Shaw
- University of Pennsylvania, Philadelphia, PA, USA
| | | | - Margaret Sutherland
- National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA
| | | | | | - Nadine Tatton
- Association for Frontotemporal Degeneration, Radnor, PA, USA
| | | | - Arthur Toga
- Laboratory of Neuroimaging (LONI), USC, Los Angeles, CA, USA
| | | | | | | | | | - Brad Boeve
- Mayo Clinic Rochester, Rochester, MN, USA
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Gleason CE, Norton D, Zuelsdorff M, Benton SF, Wyman MF, Nystrom N, Lambrou N, Salazar H, Koscik RL, Jonaitis E, Carter F, Harris B, Gee A, Chin N, Ketchum F, Johnson SC, Edwards DF, Carlsson CM, Kukull W, Asthana S. Association between enrollment factors and incident cognitive impairment in Blacks and Whites: Data from the Alzheimer's Disease Center. Alzheimers Dement 2019; 15:1533-1545. [PMID: 31601516 PMCID: PMC6925619 DOI: 10.1016/j.jalz.2019.07.015] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Revised: 07/02/2019] [Accepted: 07/14/2019] [Indexed: 01/06/2023]
Abstract
INTRODUCTION We examined the influence of enrollment factors demonstrated to differ by race on incident mild cognitive impairment and dementia using Alzheimer's Disease Center data. METHODS Differences in rates of incident impairment between non-Latino Whites and Blacks (n = 12,242) were examined with age-at-progression survival models. Models included race, sex, education, source of recruitment, health factors, and family history of dementia. RESULTS No significant race differences in progression were observed in cognitively unimpaired participants. In those with mild cognitive impairment at baseline, Whites evidenced greater risk for progression than Blacks. Enrollment factors, for example, referral source, were significantly related to progression. DISCUSSION The finding that Blacks demonstrated lower rate of progression than Whites is contrary to the extant literature. Nested-regression analyses suggested that selection-related factors, differing by race, may account for these findings and influence our ability to accurately estimate risk for progression. It is potentially problematic to make racial comparisons using Alzheimer's Disease Center data sets.
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Affiliation(s)
- Carey E Gleason
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA; Geriatric Research, Education and Clinical Center (11G), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA.
| | - Derek Norton
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA
| | - Megan Zuelsdorff
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Susan F Benton
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA; Department of Family Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Mary F Wyman
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA; Geriatric Research, Education and Clinical Center (11G), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Naomi Nystrom
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA; Minnesota Department of Human Services, MN, USA
| | - Nickolas Lambrou
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA; Geriatric Research, Education and Clinical Center (11G), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Hector Salazar
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Rebecca L Koscik
- Department of Medicine, Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Erin Jonaitis
- Department of Medicine, Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Fabu Carter
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Brieanna Harris
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Alexander Gee
- Nehemiah Center for Urban Leadership Development, Madison, WI, USA
| | - Nathaniel Chin
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Frederick Ketchum
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Sterling C Johnson
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA; Geriatric Research, Education and Clinical Center (11G), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA; Department of Medicine, Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Dorothy F Edwards
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA; Department of Kinesiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Cynthia M Carlsson
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA; Geriatric Research, Education and Clinical Center (11G), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA; Department of Medicine, Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Walter Kukull
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA; National Alzheimer's Coordinating Center, Seattle, WA, USA
| | - Sanjay Asthana
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA; Geriatric Research, Education and Clinical Center (11G), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA; Department of Medicine, Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
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19
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Besser L, Galvin JE, Rodriguez D, Seeman T, Kukull W, Rapp SR, Smith J. Associations between neighborhood built environment and cognition vary by apolipoprotein E genotype: Multi-Ethnic Study of Atherosclerosis. Health Place 2019; 60:102188. [PMID: 31797769 PMCID: PMC6901106 DOI: 10.1016/j.healthplace.2019.102188] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 07/26/2019] [Accepted: 08/07/2019] [Indexed: 01/02/2023]
Abstract
We examined whether neighborhood built environment (BE) and cognition associations in older adults vary by apolipoprotein E (APOE) genotype, a genetic risk factor for Alzheimer's disease (AD). We conducted a cross-sectional analysis of 4091 participants. Neighborhood characteristics included social and walking destination density (SDD, WDD), intersection density, and proportion of land dedicated to retail. Individuals were categorized as APOE ε2 (lower AD risk), APOE ε4 (higher AD risk), or APOE ε3 carriers. Among APOE ε2 carriers, greater proportion of land dedicated to retail was associated with better global cognition, and greater SDD, WDD, intersection density, and proportion of land dedicated to retail was associated with better processing speed. These associations were not observed in APOE ε3 or ε4 carriers. APOE ε2 carriers may be more susceptible to the potentially beneficial effects of denser neighborhood BEs on cognition; however, longitudinal studies are needed.
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Affiliation(s)
- Lilah Besser
- School of Urban and Regional Planning, Institute for Human Health and Disease Intervention, Florida Atlantic University, 777 Glades Rd, SO-284H, Boca Raton, FL, 33431, USA.
| | - James E Galvin
- Charles E. Schmidt College of Medicine, Florida Atlantic University, 777 Glades Rd, ME-104, First Floor, Boca Raton, FL, 33431, USA.
| | - Daniel Rodriguez
- Department of City and Regional Planning, College of Environmental Design, Office 313B, Wurster Hall #1820, University of California, Berkeley, CA, 94720-1820, USA.
| | - Teresa Seeman
- David Geffen School of Medicine, University of California Los Angeles, 10945 Le Conte Avenue, Suite 2339 (PVUB Uberroth Building), Los Angeles, CA, 90095, USA.
| | - Walter Kukull
- National Alzheimer's Coordinating Center, Department of Epidemiology, University of Washington, 4311 11th Avenue NE, Suite 300, Seattle, WA, 98105, USA.
| | - Stephen R Rapp
- Departments of Psychiatry and Behavioral Medicine & Public Health Sciences, Wake Forest School of Medicine, 791 Jonestown Road, Winston-Salem, NC, 27103, USA.
| | - Jennifer Smith
- Department of Epidemiology, University of Michigan, 1415 Washington Heights, Room 2631, Ann Arbor, MI, 48109-2029, USA.
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20
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Hohman TJ, Dumitrescu L, Barnes LL, Thambisetty M, Beecham G, Kunkle B, Gifford KA, Bush WS, Chibnik LB, Mukherjee S, De Jager PL, Kukull W, Crane PK, Resnick SM, Keene CD, Montine TJ, Schellenberg GD, Haines JL, Zetterberg H, Blennow K, Larson EB, Johnson SC, Albert M, Bennett DA, Schneider JA, Jefferson AL. Sex-Specific Association of Apolipoprotein E With Cerebrospinal Fluid Levels of Tau. JAMA Neurol 2019; 75:989-998. [PMID: 29801024 DOI: 10.1001/jamaneurol.2018.0821] [Citation(s) in RCA: 189] [Impact Index Per Article: 37.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Importance The strongest genetic risk factor for Alzheimer disease (AD), the apolipoprotein E (APOE) gene, has a stronger association among women compared with men. Yet limited work has evaluated the association between APOE alleles and markers of AD neuropathology in a sex-specific manner. Objective To evaluate sex differences in the association between APOE and markers of AD neuropathology measured in cerebrospinal fluid (CSF) during life or in brain tissue at autopsy. Design, Setting, and Participants This multicohort study selected data from 10 longitudinal cohort studies of normal aging and AD. Cohorts had variable recruitment criteria and follow-up intervals and included population-based and clinic-based samples. Inclusion in our analysis required APOE genotype data and either CSF data available for analysis. Analyses began on November 6, 2017, and were completed on December 20, 2017. Main Outcomes and Measures Biomarker analyses included levels of β-amyloid 42, total tau, and phosphorylated tau measured in CSF. Autopsy analyses included Consortium to Establish a Registry for Alzheimer's Disease staging for neuritic plaques and Braak staging for neurofibrillary tangles. Results Of the 1798 patients in the CSF biomarker cohort, 862 were women, 226 had AD, 1690 were white, and the mean (SD) age was 70 [9] years. Of the 5109 patients in the autopsy cohort, 2813 were women, 4953 were white, and the mean (SD) age was 84 (9) years. After correcting for multiple comparisons using the Bonferroni procedure, we observed a statistically significant interaction between APOE-ε4 and sex on CSF total tau (β = 0.41; 95% CI, 0.27-0.55; P < .001) and phosphorylated tau (β = 0.24; 95% CI, 0.09-0.38; P = .001), whereby APOE showed a stronger association among women compared with men. Post hoc analyses suggested this sex difference was present in amyloid-positive individuals (β = 0.41; 95% CI, 0.20-0.62; P < .001) but not among amyloid-negative individuals (β = 0.06; 95% CI, -0.18 to 0.31; P = .62). We did not observe sex differences in the association between APOE and β-amyloid 42, neuritic plaque burden, or neurofibrillary tangle burden. Conclusions and Relevance We provide robust evidence of a stronger association between APOE-ε4 and CSF tau levels among women compared with men across multiple independent data sets. Interestingly, APOE-ε4 is not differentially associated with autopsy measures of neurofibrillary tangles. Together, the sex difference in the association between APOE and CSF measures of tau and the lack of a sex difference in the association with neurofibrillary tangles at autopsy suggest that APOE may modulate risk for neurodegeneration in a sex-specific manner, particularly in the presence of amyloidosis.
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Affiliation(s)
- Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Madhav Thambisetty
- Unit of Clinical and Translational Neuroscience, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Gary Beecham
- John T MacDonald Foundation Department of Human Genetics, University of Miami, Miami, Florida.,Hussman Institute for Human Genomics, University of Miami School of Medicine, Miami, Florida
| | - Brian Kunkle
- Hussman Institute for Human Genomics, University of Miami School of Medicine, Miami, Florida
| | - Katherine A Gifford
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio
| | - Lori B Chibnik
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, New York.,Cell Circuits Program, Broad Institute, Cambridge, Massachusetts
| | - Walter Kukull
- Department of Epidemiology, School of Public Health, University of Washington, Seattle
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle
| | - Susan M Resnick
- Unit of Clinical and Translational Neuroscience, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle
| | - Thomas J Montine
- Department of Pathology, Stanford University, Stanford, California
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jonathan L Haines
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,UK Dementia Research Institute, London, England
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, England
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle.,Kaiser Permanente Washington Health Research Institute, Seattle
| | - Sterling C Johnson
- Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
| | - Marilyn Albert
- Department of Neurology, the Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Angela L Jefferson
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee
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21
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Dumitrescu L, Barnes LL, Thambisetty M, Beecham G, Kunkle B, Bush WS, Gifford KA, Chibnik LB, Mukherjee S, De Jager PL, Kukull W, Crane PK, Resnick SM, Keene CD, Montine TJ, Schellenberg GD, Deming Y, Chao MJ, Huentelman M, Martin ER, Hamilton-Nelson K, Shaw LM, Trojanowski JQ, Peskind ER, Cruchaga C, Pericak-Vance MA, Goate AM, Cox NJ, Haines JL, Zetterberg H, Blennow K, Larson EB, Johnson SC, Albert M, Bennett DA, Schneider JA, Jefferson AL, Hohman TJ. Sex differences in the genetic predictors of Alzheimer's pathology. Brain 2019; 142:2581-2589. [PMID: 31497858 PMCID: PMC6736148 DOI: 10.1093/brain/awz206] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 05/03/2019] [Accepted: 05/15/2019] [Indexed: 01/01/2023] Open
Abstract
Autopsy measures of Alzheimer's disease neuropathology have been leveraged as endophenotypes in previous genome-wide association studies (GWAS). However, despite evidence of sex differences in Alzheimer's disease risk, sex-stratified models have not been incorporated into previous GWAS analyses. We looked for sex-specific genetic associations with Alzheimer's disease endophenotypes from six brain bank data repositories. The pooled dataset included 2701 males and 3275 females, the majority of whom were diagnosed with Alzheimer's disease at autopsy (70%). Sex-stratified GWAS were performed within each dataset and then meta-analysed. Loci that reached genome-wide significance (P < 5 × 10-8) in stratified models were further assessed for sex interactions. Additional analyses were performed in independent datasets leveraging cognitive, neuroimaging and CSF endophenotypes, along with age-at-onset data. Outside of the APOE region, one locus on chromosome 7 (rs34331204) showed a sex-specific association with neurofibrillary tangles among males (P = 2.5 × 10-8) but not females (P = 0.85, sex-interaction P = 2.9 × 10-4). In follow-up analyses, rs34331204 was also associated with hippocampal volume, executive function, and age-at-onset only among males. These results implicate a novel locus that confers male-specific protection from tau pathology and highlight the value of assessing genetic associations in a sex-specific manner.
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Affiliation(s)
- Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lisa L Barnes
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Madhav Thambisetty
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Gary Beecham
- John T MacDonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
- John P. Hussman Institute for Human Genomics, University of Miami School of Medicine, Miami, FL, USA
| | - Brian Kunkle
- John P. Hussman Institute for Human Genomics, University of Miami School of Medicine, Miami, FL, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Katherine A Gifford
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lori B Chibnik
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Cell Circuits Program, Broad Institute, Cambridge MA, USA
| | - Walter Kukull
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | | | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yuetiva Deming
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael J Chao
- Ronald M Loeb Center for Alzheimer’s Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matt Huentelman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Eden R Martin
- John T MacDonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
- John P. Hussman Institute for Human Genomics, University of Miami School of Medicine, Miami, FL, USA
| | - Kara Hamilton-Nelson
- John P. Hussman Institute for Human Genomics, University of Miami School of Medicine, Miami, FL, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elaine R Peskind
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami School of Medicine, Miami, FL, USA
| | - Alison M Goate
- Ronald M Loeb Center for Alzheimer’s Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nancy J Cox
- Vanderbilt Genetics Institute, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonathan L Haines
- Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Sterling C Johnson
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Marilyn Albert
- Department of Neurology, the Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Angela L Jefferson
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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Deming Y, Dumitrescu L, Barnes LL, Thambisetty M, Kunkle B, Gifford KA, Bush WS, Chibnik LB, Mukherjee S, De Jager PL, Kukull W, Huentelman M, Crane PK, Resnick SM, Keene CD, Montine TJ, Schellenberg GD, Haines JL, Zetterberg H, Blennow K, Larson EB, Johnson SC, Albert M, Moghekar A, Del Aguila JL, Fernandez MV, Budde J, Hassenstab J, Fagan AM, Riemenschneider M, Petersen RC, Minthon L, Chao MJ, Van Deerlin VM, Lee VMY, Shaw LM, Trojanowski JQ, Peskind ER, Li G, Davis LK, Sealock JM, Cox NJ, Goate AM, Bennett DA, Schneider JA, Jefferson AL, Cruchaga C, Hohman TJ. Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 2018; 136:857-872. [PMID: 29967939 PMCID: PMC6280657 DOI: 10.1007/s00401-018-1881-4] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 06/26/2018] [Accepted: 06/27/2018] [Indexed: 12/20/2022]
Abstract
Cerebrospinal fluid (CSF) levels of amyloid-β 42 (Aβ42) and tau have been evaluated as endophenotypes in Alzheimer's disease (AD) genetic studies. Although there are sex differences in AD risk, sex differences have not been evaluated in genetic studies of AD endophenotypes. We performed sex-stratified and sex interaction genetic analyses of CSF biomarkers to identify sex-specific associations. Data came from a previous genome-wide association study (GWAS) of CSF Aβ42 and tau (1527 males, 1509 females). We evaluated sex interactions at previous loci, performed sex-stratified GWAS to identify sex-specific associations, and evaluated sex interactions at sex-specific GWAS loci. We then evaluated sex-specific associations between prefrontal cortex (PFC) gene expression at relevant loci and autopsy measures of plaques and tangles using data from the Religious Orders Study and Rush Memory and Aging Project. In Aβ42, we observed sex interactions at one previous and one novel locus: rs316341 within SERPINB1 (p = 0.04) and rs13115400 near LINC00290 (p = 0.002). These loci showed stronger associations among females (β = - 0.03, p = 4.25 × 10-8; β = 0.03, p = 3.97 × 10-8) than males (β = - 0.02, p = 0.009; β = 0.01, p = 0.20). Higher levels of expression of SERPINB1, SERPINB6, and SERPINB9 in PFC was associated with higher levels of amyloidosis among females (corrected p values < 0.02) but not males (p > 0.38). In total tau, we observed a sex interaction at a previous locus, rs1393060 proximal to GMNC (p = 0.004), driven by a stronger association among females (β = 0.05, p = 4.57 × 10-10) compared to males (β = 0.02, p = 0.03). There was also a sex-specific association between rs1393060 and tangle density at autopsy (pfemale = 0.047; pmale = 0.96), and higher levels of expression of two genes within this locus were associated with lower tangle density among females (OSTN p = 0.006; CLDN16 p = 0.002) but not males (p ≥ 0.32). Results suggest a female-specific role for SERPINB1 in amyloidosis and for OSTN and CLDN16 in tau pathology. Sex-specific genetic analyses may improve understanding of AD's genetic architecture.
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Affiliation(s)
- Yuetiva Deming
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO, 63110, USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, 1207 17th Avenue S, Nashville, TN, 37212, USA
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Madhav Thambisetty
- Unit of Clinical and Translational Neuroscience, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Brian Kunkle
- Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Katherine A Gifford
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, 1207 17th Avenue S, Nashville, TN, 37212, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Lori B Chibnik
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Philip L De Jager
- Department of Neurology, Center for Translational and Computational Neuroimmunology, Columbia University Medical Center, New York, NY, USA
- Cell Circuits Program, Broad Institute, Cambridge, MA, USA
| | - Walter Kukull
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Matt Huentelman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Susan M Resnick
- Unit of Clinical and Translational Neuroscience, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | | | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jonathan L Haines
- Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Sterling C Johnson
- Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA
| | - Marilyn Albert
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Abhay Moghekar
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jorge L Del Aguila
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO, 63110, USA
| | - Maria Victoria Fernandez
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO, 63110, USA
| | - John Budde
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO, 63110, USA
| | - Jason Hassenstab
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO, 63110, USA
| | - Anne M Fagan
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | | | | | - Lennart Minthon
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Michael J Chao
- Ronald M Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vivianna M Van Deerlin
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia M-Y Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Elaine R Peskind
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Gail Li
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Lea K Davis
- Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Julia M Sealock
- Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nancy J Cox
- Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alison M Goate
- Ronald M Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Angela L Jefferson
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, 1207 17th Avenue S, Nashville, TN, 37212, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO, 63110, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, 1207 17th Avenue S, Nashville, TN, 37212, USA.
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Besser L, Kukull W, Knopman DS, Chui H, Galasko D, Weintraub S, Jicha G, Carlsson C, Burns J, Quinn J, Sweet RA, Rascovsky K, Teylan M, Beekly D, Thomas G, Bollenbeck M, Monsell S, Mock C, Zhou XH, Thomas N, Robichaud E, Dean M, Hubbard J, Jacka M, Schwabe-Fry K, Wu J, Phelps C, Morris JC. Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set. Alzheimer Dis Assoc Disord 2018; 32:351-358. [PMID: 30376508 PMCID: PMC6249084 DOI: 10.1097/wad.0000000000000279] [Citation(s) in RCA: 218] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 09/04/2018] [Indexed: 11/26/2022]
Abstract
INTRODUCTION In 2015, the US Alzheimer's Disease Centers (ADC) implemented Version 3 of the Uniform Data Set (UDS). This paper describes the history of Version 3 development and the UDS data that are freely available to researchers. METHODS UDS Version 3 was developed after years of coordination between the National Institute on Aging-appointed Clinical Task Force (CTF), clinicians from ∼30 ADCs, and the National Alzheimer's Coordinating Center (NACC). The CTF recognized the need for updates to align with the state of the science in dementia research, while being flexible to the diverse needs and diseases studied at the ADCs. Version 3 also developed a nonproprietary neuropsychological battery. RESULTS This paper focuses on the substantial Version 3 changes to the UDS forms related to clinical diagnosis and characterization of clinical symptoms to match updated consensus-based diagnostic criteria. Between March 2015 and March 2018, 4820 participants were enrolled using UDS Version 3. Longitudinal data were available for 25,337 of the 37,568 total participants using all UDS versions. DISCUSSION The results from utilization of the UDS highlight the possibility for numerous research institutions to successfully collaborate, produce, and use standardized data collection instruments for over a decade.
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Affiliation(s)
- Lilah Besser
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
- Institute for Healthy Aging and Lifespan Studies and School of Urban and Regional Planning, Florida Atlantic University, Boca Raton, FL
| | - Walter Kukull
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | | | - Helena Chui
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA
| | - Sandra Weintraub
- Departments of Psychiatry and Neurology, and Cognitive Neurology and Alzheimer’s Disease Center, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Gregory Jicha
- Department of Neurology, University of Kentucky, Lexington, KY
| | - Cynthia Carlsson
- Department of Medicine, University of Wisconsin School of Medicine and Public Health; Geriatric Research, Education and Clinical Center, Madison VA Hospital, Madison, WI
| | - Jeffrey Burns
- Department of Neurology, School of Medicine, University of Kansas, Kansas City, KS
| | - Joseph Quinn
- Department of Neurology, School of Medicine, Oregon Health & Science University, Portland, OR
| | - Robert A. Sweet
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Katya Rascovsky
- Department of Psychiatry, University of Pittsburgh School of Medicine
- Department of Neurology, University of Pittsburgh School of Medicine
- Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA
| | - Merilee Teylan
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Duane Beekly
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - George Thomas
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Mark Bollenbeck
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Sarah Monsell
- Center for Biomedical Statistics, University of Washington, Seattle, WA
| | - Charles Mock
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Xiao Hua Zhou
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Nicole Thomas
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Elizabeth Robichaud
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Margaret Dean
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Janene Hubbard
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Mary Jacka
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Kristen Schwabe-Fry
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Joylee Wu
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | | | | | - John C. Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
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24
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Burke SL, Maramaldi P, Cadet T, Kukull W. Decreasing hazards of Alzheimer's disease with the use of antidepressants: mitigating the risk of depression and apolipoprotein E. Int J Geriatr Psychiatry 2018; 33:200-211. [PMID: 28560728 PMCID: PMC5711617 DOI: 10.1002/gps.4709] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 03/02/2017] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Alzheimer's disease (AD) is a neurodegenerative disease, manifesting in clinically observable deficits in memory, thinking, and behavior that disproportionately affects older adults. Susceptibility genes, such as apolipoprotein ε4, have long been associated with an increased risk of AD diagnosis. Studies have shown associations between depression and increased risk of AD development. Furthermore, findings from previous investigations suggest mixed effects in the use of psychotropic medication in older adults. The hypothesis for this study is that antidepressant use modifies the increased hazard of depression or such that a non-significant hazard will result with respect to eventual AD development. METHODS Utilizing data from the National Alzheimer's Coordinating Center, we examined evaluations of 11,443 cognitively intact participants. Survival analysis was used to explore relationships between depression, apolipoprotein E, AD diagnosis, and antidepressant use. RESULTS An analytical sample of 8732 participants with normal cognition was examined. Among users of antidepressant medication, the hazard, in most cases, was no longer statistically significant. One generic medication showed protective benefits for users (p < 0.001). In addition, there was a statistically significant relationship between recent depression (n = 2083; p < 0.001), lifetime depression (n = 2068; p < 0.05), and ε4 carrier status (n = 2470; p < 0.001) and AD development. CONCLUSIONS The findings suggest that a mechanism related to antidepressant use may reduce the hazard of eventual AD. Furthermore, the findings reinforce the association between depression, apolipoprotein E (APOE) ε4, and AD diagnosis. This study contributes to the emerging literature exploring interventions aimed at decreasing the risk of AD by targeting potentially modifiable psychosocial risk factors such as depression. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Shanna L Burke
- Robert Stempel College of Public Health and Social Work, School of Social Work, Florida International University, Miami, FL, USA
| | - Peter Maramaldi
- Simmons College School of Social Work, Boston, MA, USA
- Oral Health Policy and Epidemiology, Harvard School of Dental Medicine, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Tamara Cadet
- Simmons College School of Social Work, Boston, MA, USA
- Oral Health Policy and Epidemiology, Harvard School of Dental Medicine, Boston, MA, USA
| | - Walter Kukull
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA
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25
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Neu SC, Pa J, Kukull W, Beekly D, Kuzma A, Gangadharan P, Wang LS, Romero K, Arneric SP, Redolfi A, Orlandi D, Frisoni GB, Au R, Devine S, Auerbach S, Espinosa A, Boada M, Ruiz A, Johnson SC, Koscik R, Wang JJ, Hsu WC, Chen YL, Toga AW. Apolipoprotein E Genotype and Sex Risk Factors for Alzheimer Disease: A Meta-analysis. JAMA Neurol 2017; 74:1178-1189. [PMID: 28846757 PMCID: PMC5759346 DOI: 10.1001/jamaneurol.2017.2188] [Citation(s) in RCA: 396] [Impact Index Per Article: 56.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Importance It is unclear whether female carriers of the apolipoprotein E (APOE) ε4 allele are at greater risk of developing Alzheimer disease (AD) than men, and the sex-dependent association of mild cognitive impairment (MCI) and APOE has not been established. Objective To determine how sex and APOE genotype affect the risks for developing MCI and AD. Data Sources Twenty-seven independent research studies in the Global Alzheimer's Association Interactive Network with data on nearly 58 000 participants. Study Selection Non-Hispanic white individuals with clinical diagnostic and APOE genotype data. Data Extraction and Synthesis Homogeneous data sets were pooled in case-control analyses, and logistic regression models were used to compute risks. Main Outcomes and Measures Age-adjusted odds ratios (ORs) and 95% confidence intervals for developing MCI and AD were calculated for men and women across APOE genotypes. Results Participants were men and women between ages 55 and 85 years. Across data sets most participants were white, and for many participants, racial/ethnic information was either not collected or not known. Men (OR, 3.09; 95% CI, 2.79-3.42) and women (OR, 3.31; CI, 3.03-3.61) with the APOE ε3/ε4 genotype from ages 55 to 85 years did not show a difference in AD risk; however, women had an increased risk compared with men between the ages of 65 and 75 years (women, OR, 4.37; 95% CI, 3.82-5.00; men, OR, 3.14; 95% CI, 2.68-3.67; P = .002). Men with APOE ε3/ε4 had an increased risk of AD compared with men with APOE ε3/ε3. The APOE ε2/ε3 genotype conferred a protective effect on women (OR, 0.51; 95% CI, 0.43-0.61) decreasing their risk of AD more (P value = .01) than men (OR, 0.71; 95% CI, 0.60-0.85). There was no difference between men with APOE ε3/ε4 (OR, 1.55; 95% CI, 1.36-1.76) and women (OR, 1.60; 95% CI, 1.43-1.81) in their risk of developing MCI between the ages of 55 and 85 years, but women had an increased risk between 55 and 70 years (women, OR, 1.43; 95% CI, 1.19-1.73; men, OR, 1.07; 95% CI, 0.87-1.30; P = .05). There were no significant differences between men and women in their risks for converting from MCI to AD between the ages of 55 and 85 years. Individuals with APOE ε4/ε4 showed increased risks vs individuals with ε3/ε4, but no significant differences between men and women with ε4/ε4 were seen. Conclusions and Relevance Contrary to long-standing views, men and women with the APOE ε3/ε4 genotype have nearly the same odds of developing AD from age 55 to 85 years, but women have an increased risk at younger ages.
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Affiliation(s)
- Scott C Neu
- Laboratory of Neuro Imaging, Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles
| | - Judy Pa
- Laboratory of Neuro Imaging, Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles
| | - Walter Kukull
- National Alzheimer's Coordinating Center, University of Washington, Seattle
| | - Duane Beekly
- National Alzheimer's Coordinating Center, University of Washington, Seattle
| | - Amanda Kuzma
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia
| | | | - Li-San Wang
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia
| | - Klaus Romero
- Coalition Against Major Disease, Critical Path Institute, Tucson, Arizona
| | - Stephen P Arneric
- Coalition Against Major Disease, Critical Path Institute, Tucson, Arizona
| | - Alberto Redolfi
- IRCCS Fatebenefratelli, The National Centre for Alzheimer's Disease, Brescia, Italy
| | - Daniele Orlandi
- IRCCS Fatebenefratelli, The National Centre for Alzheimer's Disease, Brescia, Italy
| | - Giovanni B Frisoni
- IRCCS Fatebenefratelli, The National Centre for Alzheimer's Disease, Brescia, Italy
- University Hospitals and University of Geneva, Geneva, Switzerland
| | - Rhoda Au
- Department of Anatomy and Neurobiology, Boston University Schools of Medicine and Public Health, Boston, Massachusetts
- Department Neurology and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, Massachusetts
- Framingham Heart Study, Boston University Schools of Medicine and Public Health, Boston, Massachusetts
| | - Sherral Devine
- Department of Neurology, Framingham Heart Study, Boston University School of Medicine, Boston, Massachusetts
| | - Sanford Auerbach
- Department of Neurology, Framingham Heart Study, Boston University School of Medicine, Boston, Massachusetts
| | - Ana Espinosa
- Research Center and Memory Clinic, Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Mercè Boada
- Research Center and Memory Clinic, Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Agustín Ruiz
- Research Center and Memory Clinic, Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | | | - Rebecca Koscik
- University of Wisconsin School of Medicine and Public Health, Madison
| | - Jiun-Jie Wang
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan City, Taiwan
- Neuroscience Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan
| | - Wen-Chuin Hsu
- Department of Neurology, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan
- Dementia Center, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan
| | - Yao-Liang Chen
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan
- Department of Medical Imaging and Intervention, Keelung Branch, Chang Gung Memorial Hospital, Keelung City, Taiwan
| | - Arthur W Toga
- Laboratory of Neuro Imaging, Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles
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Krysinska K, Sachdev PS, Breitner J, Kivipelto M, Kukull W, Brodaty H. Dementia registries around the globe and their applications: A systematic review. Alzheimers Dement 2017; 13:1031-1047. [PMID: 28576507 PMCID: PMC6872163 DOI: 10.1016/j.jalz.2017.04.005] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 04/05/2017] [Accepted: 04/11/2017] [Indexed: 12/22/2022]
Abstract
Patient registries are valuable tools helping to address significant challenges in research, care, and policy. Registries, well embedded in many fields of medicine and public health, are relatively new in dementia. This systematic review presents the current situation in regards to dementia registries worldwide. We identified 31 dementia registries operating on an international, national, or local level between 1986 and 2016. More than half of the registries aimed to conduct or facilitate research, including preclinical research registries and registries recruiting research volunteers. Other dementia registries collected epidemiological or quality of care data. We present evidence of practical and economic outcomes of registries for research, clinical practice and policy, and recommendations for future development. Global harmonization of recruitment methods and minimum data would facilitate international comparisons. Registries provide a positive return on investment; their establishment and maintenance require ongoing support by government, policy makers, research funding bodies, clinicians, and individuals with dementia and their caregivers.
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Affiliation(s)
- Karolina Krysinska
- Faculty of Medicine, Dementia Collaborative Research Centre, School of Psychiatry, University of New South Wales (UNSW Sydney), NSW, Australia
| | - Perminder S Sachdev
- Faculty of Medicine, Dementia Collaborative Research Centre, School of Psychiatry, University of New South Wales (UNSW Sydney), NSW, Australia; Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales (UNSW Sydney), NSW, Australia; NPI, Euroa Centre, School of Psychiatry, UNSW Sydney, NSW, Australia
| | - John Breitner
- McGill University Faculty of Medicine, Montreal, Quebec, Canada
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Care Sciences and Society (NVS), Huddinge, Sweden
| | - Walter Kukull
- National Alzheimer's Coordinating Center (NACC), University of Washington, Seattle, WA, USA
| | - Henry Brodaty
- Faculty of Medicine, Dementia Collaborative Research Centre, School of Psychiatry, University of New South Wales (UNSW Sydney), NSW, Australia; Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales (UNSW Sydney), NSW, Australia; NPI, Euroa Centre, School of Psychiatry, UNSW Sydney, NSW, Australia.
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27
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McKeith IG, Boeve BF, Dickson DW, Halliday G, Taylor JP, Weintraub D, Aarsland D, Galvin J, Attems J, Ballard CG, Bayston A, Beach TG, Blanc F, Bohnen N, Bonanni L, Bras J, Brundin P, Burn D, Chen-Plotkin A, Duda JE, El-Agnaf O, Feldman H, Ferman TJ, Ffytche D, Fujishiro H, Galasko D, Goldman JG, Gomperts SN, Graff-Radford NR, Honig LS, Iranzo A, Kantarci K, Kaufer D, Kukull W, Lee VMY, Leverenz JB, Lewis S, Lippa C, Lunde A, Masellis M, Masliah E, McLean P, Mollenhauer B, Montine TJ, Moreno E, Mori E, Murray M, O'Brien JT, Orimo S, Postuma RB, Ramaswamy S, Ross OA, Salmon DP, Singleton A, Taylor A, Thomas A, Tiraboschi P, Toledo JB, Trojanowski JQ, Tsuang D, Walker Z, Yamada M, Kosaka K. Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium. Neurology 2017; 89:88-100. [PMID: 28592453 PMCID: PMC5496518 DOI: 10.1212/wnl.0000000000004058] [Citation(s) in RCA: 2297] [Impact Index Per Article: 328.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 03/30/2017] [Indexed: 12/14/2022] Open
Abstract
The Dementia with Lewy Bodies (DLB) Consortium has refined its recommendations about the clinical and pathologic diagnosis of DLB, updating the previous report, which has been in widespread use for the last decade. The revised DLB consensus criteria now distinguish clearly between clinical features and diagnostic biomarkers, and give guidance about optimal methods to establish and interpret these. Substantial new information has been incorporated about previously reported aspects of DLB, with increased diagnostic weighting given to REM sleep behavior disorder and 123iodine-metaiodobenzylguanidine (MIBG) myocardial scintigraphy. The diagnostic role of other neuroimaging, electrophysiologic, and laboratory investigations is also described. Minor modifications to pathologic methods and criteria are recommended to take account of Alzheimer disease neuropathologic change, to add previously omitted Lewy-related pathology categories, and to include assessments for substantia nigra neuronal loss. Recommendations about clinical management are largely based upon expert opinion since randomized controlled trials in DLB are few. Substantial progress has been made since the previous report in the detection and recognition of DLB as a common and important clinical disorder. During that period it has been incorporated into DSM-5, as major neurocognitive disorder with Lewy bodies. There remains a pressing need to understand the underlying neurobiology and pathophysiology of DLB, to develop and deliver clinical trials with both symptomatic and disease-modifying agents, and to help patients and carers worldwide to inform themselves about the disease, its prognosis, best available treatments, ongoing research, and how to get adequate support.
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Padilla GV, Musci EC, McCorkle R, Kukull W, Larson PJ. Human Responses to Cancer. West J Nurs Res 2016. [DOI: 10.1177/019394598400600312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
| | - Emilie C. Musci
- Department of Nursing, San Jose State University, San Jose, California
| | - Ruth McCorkle
- School of Nursing SM-24, University of Washington, Seattle, Washington
| | - Walter Kukull
- School of Nursing SM-24, University of Washington, Seattle, Washington
| | - Patricia J. Larson
- Department of Physiological Nursing, University of California, San Francisco, San Francisco, California
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Abstract
BACKGROUND Alzheimer's disease (AD) is a neurodegenerative brain disease that causes cognitive impairment and dementia. Within the US, AD is the most common form of dementia in the elderly, affecting 1 in 10 people over the age of 65. Sleep disturbance has been called a "public health epidemic" and, like depression, is a prodromal symptom of AD but may also contribute to the risk of developing AD. It was hypothesized that sleep disturbance, depression, and the apolipoprotein E (APOE) genotype increase the likelihood of AD. METHODS Utilizing data from the National Alzheimer's Coordinating Center, information from evaluations of 11,453 cognitively asymptomatic participants was analyzed. Survival analysis was used to explore the independent relationships between depression, sleep disturbance, and APOE genotypes with eventual AD diagnosis. Cox proportional hazard models were utilized to explore the main effects and synergistic effects of psychosocial factors as moderated by APOE genotypes. RESULTS This study reinforced the association between APOE and AD. The hazard of developing AD was eight times higher for those with recent depression and the Ɛ4 homozygote (HR = 8.15 [3.70-17.95]). Among Ɛ4 carriers with clinician-verified depression, the hazard was ten times that of the reference group (HR = 10.11 [4.43-23.09]). The hazard for Ɛ4 carriers reporting sleep disturbance was almost 7 times greater than the reference group (HR = 6.79 [2.38-19.37]). CONCLUSION Findings suggest that sleep disturbance, depression, and APOE Ɛ4 genotype are associated with AD during follow-up evaluations among a group of initially cognitively asymptomatic participants. This study contributes to the literature base exploring an increased hazard or risk of AD due to potential modifiable risk factors as well as genetic biomarkers, such as APOE.
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Affiliation(s)
- Shanna L Burke
- Florida International University,Robert Stempel College of Public Health and Social Work,School of Social Work,Miami,FL,USA
| | | | - Tamara Cadet
- Simmons College School of Social Work,Boston,MA,USA
| | - Walter Kukull
- National Alzheimer's Coordinating Center (NACC),University of Washington School of Public Health,Department of Epidemiology,Seattle,WA,USA
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Burke SL, Maramaldi P, Cadet T, Kukull W. Neuropsychiatric symptoms and Apolipoprotein E: Associations with eventual Alzheimer's disease development. Arch Gerontol Geriatr 2016; 65:231-8. [PMID: 27111252 DOI: 10.1016/j.archger.2016.04.006] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Revised: 04/10/2016] [Accepted: 04/11/2016] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Alzheimer's disease (AD) is the result of neurodegeneration, which manifests clinically as deficits in memory, thinking, and behavior. It was hypothesized that neuropsychiatric symptoms and the apolipoprotein E genotype increase the likelihood of Alzheimer's disease development. METHODS Utilizing data from the National Alzheimer's Coordinating Center, information from evaluations of 11,453 cognitively intact participants was analyzed. Survival analysis was used to explore relationships between individual neuropsychiatric symptoms as determined by the Neuropsychiatric Inventory Questionnaire, apolipoprotein E, and eventual AD diagnosis. Cox proportional hazard models were utilized to explore the main effects and synergistic (additive and multiplicative) interactions. RESULTS This study provided evidence for an increased hazard of developing AD among participants with any of the symptoms assessed by the NPI-Q. The hazard of developing AD was almost thirteen times higher for ε4 carriers with delusions and eleven times greater for those with apathy and disinhibition. Statistically significant hazards (p>0.001) were also realized by ε4 carriers with hallucinations; agitation; depression; anxiety; elation; apathy; irritability; and motor, sleep, and appetite disturbances. CONCLUSIONS Findings suggest that neuropsychiatric symptoms are associated with eventual AD diagnosis among a group of cognitively asymptomatic participants at baseline. Many studies begin with a group of participants already impacted by AD diagnosis. The longitudinal analysis of a group of participants who, at baseline, demonstrated no observable signs of AD was a strength of this study. This investigation contributes to the literature exploring an increased hazard of AD due to potential modifiable risk factors and genetic biomarkers such as apolipoprotein E.
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Affiliation(s)
- Shanna L Burke
- Florida International University, Robert Stempel College of Public Health and Social Work, School of Social Work, 11200 S.W. 8th Street, AHC5 564, Miami, FL 33199, USA.
| | - Peter Maramaldi
- Simmons College School of Social Work, Boston, MA 02115-5820, USA; Oral Health Policy and Epidemiology, Harvard School of Dental Medicine, USA; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, USA.
| | - Tamara Cadet
- Simmons College School of Social Work, Boston, MA 02115-5820, USA; Oral Health Policy and Epidemiology, Harvard School of Dental Medicine, USA.
| | - Walter Kukull
- National Alzheimer's Coordinating Center (NACC) University of Washington, Department of Epidemiology Box 357236, Seattle, WA 98195-7236, USA.
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Besser LM, Litvan I, Monsell SE, Mock C, Weintraub S, Zhou XH, Kukull W. Mild cognitive impairment in Parkinson's disease versus Alzheimer's disease. Parkinsonism Relat Disord 2016; 27:54-60. [PMID: 27089852 DOI: 10.1016/j.parkreldis.2016.04.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Revised: 03/28/2016] [Accepted: 04/08/2016] [Indexed: 12/15/2022]
Abstract
INTRODUCTION No known studies have compared longitudinal characteristics between individuals with incident mild cognitive impairment due to Parkinson's disease (PD-MCI) versus Alzheimer's Disease (AD-MCI). METHODS We used longitudinal data from the National Alzheimer's Coordinating Center's Uniform Data Set to compare 41 PD-MCI and 191 AD-MCI participants according to their demographics, presence of ≥1 APOE e4 allele, and baseline and change over time in clinical characteristics, neuropsychological test scores, and Clinical Dementia Rating sum of boxes (CDR-SB). Multivariable linear regression models with generalized estimating equations were used to account for clustered data and to test for baseline and longitudinal differences in neuropsychological test scores. RESULTS PD-MCI and AD-MCI participants differed by many demographic and clinical characteristics. Significantly fewer PD-MCI participants developed dementia over one year. Compared to AD-MCI participants, PD-MCI participants performed better at baseline and over time on a global measure of cognition (Mini Mental State Exam), memory measures (immediate and delayed Logical Memory), and a language measure (Boston Naming Test), and additionally performed better over time on an attention measure (Digit Span Forward), a language measure (Vegetable List), a processing speed measure (Digit Symbol), and an overall measure of memory and functional impairment (CDR-SB). CONCLUSION Our study provides further evidence that PD-MCI is clinically distinct from AD-MCI and requires different tools for diagnosis and monitoring clinical progression. More importantly, this study suggests that PD-MCI takes longer to convert into dementia than AD-MCI, findings that require replication by other studies.
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Affiliation(s)
- Lilah M Besser
- National Alzheimer's Coordinating Center, University of Washington, 4311 11th Ave NE, Suite 300, Seattle, WA, 98105, USA.
| | - Irene Litvan
- University of California San Diego, Department of Neurosciences, National Parkinson Foundation Movement Disorder Center of Excellence, 8950 Villa La Jolla Drive, Suite C112, La Jolla, CA, 92037, USA.
| | - Sarah E Monsell
- National Alzheimer's Coordinating Center, University of Washington, 4311 11th Ave NE, Suite 300, Seattle, WA, 98105, USA.
| | - Charles Mock
- National Alzheimer's Coordinating Center, University of Washington, 4311 11th Ave NE, Suite 300, Seattle, WA, 98105, USA.
| | - Sandra Weintraub
- Cognitive Neurology and Alzheimer's Disease Center, and Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 320 E Superior, Searle 11-467, Chicago, IL, 60611, USA.
| | - Xiao-Hua Zhou
- National Alzheimer's Coordinating Center, University of Washington, 4311 11th Ave NE, Suite 300, Seattle, WA, 98105, USA.
| | - Walter Kukull
- National Alzheimer's Coordinating Center, University of Washington, 4311 11th Ave NE, Suite 300, Seattle, WA, 98105, USA.
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Monsell SE, Mock C, Fardo DW, Bertelsen S, Cairns NJ, Roe CM, Morris JC, Goate A, Kukull W. P4‐007: Genetic differences between symptomatic and asymptomatic persons with Alzheimer's disease neuropathologic change. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.06.1711] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Moulder KL, Monsell SE, Beekly D, Besser LM, Blennow K, Kukull W, Morris JC. P4‐038: Factors influencing lumbar puncture participation in Alzheimer's research. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.06.1742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
| | | | | | | | - Kaj Blennow
- Clinical Neurochemistry Laboratory/Sahlgrenska University HospitalGothenburgSweden
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Heller KB, DeCarli C, Beekly D, Besser LM, Bollenbeck M, Wu J, Carmichael OT, Phelps CH, Kukull W. P4‐129: THE NATIONAL ALZHEIMER'S COORDINATING CENTER MRI DATABASE. Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.05.1645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
| | - Charles DeCarli
- University of California at DavisSacramentoCaliforniaUnited States
| | - Duane Beekly
- University of WashingtonSeattleWashingtonUnited States
| | | | | | - Joylee Wu
- University of WashingtonSeattleWashingtonUnited States
| | | | | | - Walter Kukull
- University of WashingtonSeattleWashingtonUnited States
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Heller KB, DeCarli C, Beekly D, Besser LM, Bollenbeck M, Wu J, Carmichael OT, Phelps CH, Kukull W. IC‐P‐161: THE NATIONAL ALZHEIMER'S COORDINATING CENTER MRI DATABASE. Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.05.168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
| | - Charles DeCarli
- University of California at DavisSacramentoCaliforniaUnited States
| | - Duane Beekly
- University of WashingtonSeattleWashingtonUnited States
| | | | | | - Joylee Wu
- University of WashingtonSeattleWashingtonUnited States
| | | | | | - Walter Kukull
- University of WashingtonSeattleWashingtonUnited States
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Dugger BN, Malek‐Ahmadi M, Monsell SE, Kukull W, Woodruff B, Reiman EM, Wilson J. O1‐11‐04: CARDIOVASCULAR RISK FACTORS AND THEIR INTERACTIONS AMONG CLINICALLY DEFINED NEURODEGENERATIVE DISEASES. Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.04.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
| | | | - Sarah E. Monsell
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
| | - Walter Kukull
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
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Monsell SE, Mock C, Hassenstab J, Roe CM, Cairns NJ, Morris JC, Kukull W. Neuropsychological changes in asymptomatic persons with Alzheimer disease neuropathology. Neurology 2014; 83:434-40. [PMID: 24951474 DOI: 10.1212/wnl.0000000000000650] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine whether asymptomatic persons with Alzheimer disease (AD) neuropathologic change differ in the trajectory of their cognitive performance compared to asymptomatic persons without AD neuropathologic change. METHODS Longitudinal performance on standard neuropsychological tests was examined in participants who died within 2 years of their last cognitive assessment and who were never diagnosed with mild cognitive impairment or dementia (Clinical Dementia Rating global score of 0 at all assessments). Using cognitive and neuropathologic data collected between 2005 and 2013 from the 34 National Institute on Aging-sponsored Alzheimer's Disease Centers, cognitive trajectories were compared for persons with and without evidence of AD neuropathologic change. We evaluated rates of decline in 4 domains (episodic memory, language, attention/working memory, executive function). The significance of the differences (β) in rates of decline was tested using linear regression, adjusting for age, education, sex, and other neuropathologic lesions. RESULTS Participants who had low to high levels of AD neuropathologic change (n = 131) showed a greater rate of decline on the attention/working memory domain score (β = -0.11; 95% confidence interval = -0.19, -0.02; p = 0.02) when compared to 80 participants who died without evidence of AD neuropathologic change. CONCLUSIONS Clinically normal individuals who come to autopsy with AD neuropathologic change exhibit subtle evidence of declining cognitive trajectories for attention/working memory.
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Affiliation(s)
- Sarah E Monsell
- From the National Alzheimer's Coordinating Center (S.E.M., C.M., W.K.), University of Washington, Seattle; and Knight Alzheimer's Disease Research Center (J.H., C.M.R., N.J.C., J.C.M.), Department of Neurology, Washington University School of Medicine, St. Louis, MO.
| | - Charles Mock
- From the National Alzheimer's Coordinating Center (S.E.M., C.M., W.K.), University of Washington, Seattle; and Knight Alzheimer's Disease Research Center (J.H., C.M.R., N.J.C., J.C.M.), Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Jason Hassenstab
- From the National Alzheimer's Coordinating Center (S.E.M., C.M., W.K.), University of Washington, Seattle; and Knight Alzheimer's Disease Research Center (J.H., C.M.R., N.J.C., J.C.M.), Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Catherine M Roe
- From the National Alzheimer's Coordinating Center (S.E.M., C.M., W.K.), University of Washington, Seattle; and Knight Alzheimer's Disease Research Center (J.H., C.M.R., N.J.C., J.C.M.), Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Nigel J Cairns
- From the National Alzheimer's Coordinating Center (S.E.M., C.M., W.K.), University of Washington, Seattle; and Knight Alzheimer's Disease Research Center (J.H., C.M.R., N.J.C., J.C.M.), Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - John C Morris
- From the National Alzheimer's Coordinating Center (S.E.M., C.M., W.K.), University of Washington, Seattle; and Knight Alzheimer's Disease Research Center (J.H., C.M.R., N.J.C., J.C.M.), Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Walter Kukull
- From the National Alzheimer's Coordinating Center (S.E.M., C.M., W.K.), University of Washington, Seattle; and Knight Alzheimer's Disease Research Center (J.H., C.M.R., N.J.C., J.C.M.), Department of Neurology, Washington University School of Medicine, St. Louis, MO
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Meranus D, Kukull W. P3–161: Antithrombotic medication use and dementia incidence among people with mild cognitive impairment and atrial fibrillation. Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.1233] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Dana Meranus
- National Alzheimer's Coordinating Center Seattle Washington United States
| | - Walter Kukull
- National Alzheimer's Coordinating Center Seattle Washington United States
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Brenowitz W, Nelson P, Besser L, Bristow K, Kukull W. P2–206: Cerebral amyloid angiopathy and its co‐occurrence with Alzheimer's disease in the National Alzheimer's Coordinating Center Neuropathology data set. Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Willa Brenowitz
- National Alzheimer's Coordinating Center, University of Washington Seattle Washington United States
| | - Peter Nelson
- University of Kentucky Lexington Kentucky United States
| | - Lilah Besser
- University of Washington Seattle Washington United States
| | - Katherine Bristow
- National Alzheimer's Coordinating Center, University of Washington Seattle Washington United States
| | - Walter Kukull
- National Alzheimer's Coordinating Center Seattle Washington United States
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Wang L, Andrew Zhou X, Kukull W. P3–176: Are some individuals immune to dementia? Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.1248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Linbo Wang
- University of Washington Seattle Washington United States
| | | | - Walter Kukull
- National Alzheimer's Coordinating Center Seattle Washington United States
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Toledo J, Arnold S, Brettschneider J, Lee E, Irwin D, Xie S, Grossman M, Monsell S, Kukull W, Trojanowski J. O2–10–02: Importance of coincident neurodegenerative diseases. Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.04.190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Jon Toledo
- Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine Philadelphia Pennsylvania United States
| | - Steven Arnold
- University of Pennsylvania School of Medicine Philadelphia Pennsylvania United States
| | | | - Edward Lee
- University of Pennsylvania School of Medicine Philadelphia Pennsylvania United States
| | - David Irwin
- University of Pennsylvania School of Medicine Philadelphia Pennsylvania United States
| | - Sharon Xie
- University of Pennsylvania School of Medicine Philadelphia Pennsylvania United States
| | - Murray Grossman
- University of Pennsylvania Philadelphia Pennsylvania United States
| | - Sarah Monsell
- National Alzheimer's Coordinating Center Seattle Washington United States
| | - Walter Kukull
- National Alzheimer's Coordinating Center Seattle Washington United States
| | - John Trojanowski
- University of Pennsylvania School of Medicine Philadelphia Pennsylvania United States
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Reitz C, Jun G, Naj A, Vardarajan B, Wang L, Larson E, Graff‐Radford N, Evans D, De Jager P, Crane P, Buxbaum J, Ertekin‐Taner N, Logue M, Green R, Cantwell L, Fallin D, Manly J, Lunetta K, Kamboh I, Lopez O, Bennett D, Hall KS, Goate A, Byrd G, Kukull W, Foroud T, Haines J, Farrer L, Pericak‐Vance M, Schellenberg G, Mayeux R. P1–063: Association of TREM2 variants with Alzheimer's disease in African‐Americans: For the Alzheimer's Disease Genetics Consortium (ADGC). Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | - Gyungah Jun
- Boston University School of Medicine Boston Massachusetts United States
| | - Adam Naj
- University of Miami Hussman Institute for Human Genomics Miami Florida United States
| | | | - Li‐San Wang
- University of Pennsylvania School of Medicine Philadelphia Pennsylvania United States
| | - Eric Larson
- Group Health Research Institute Seattle Washington United States
| | | | - Denis Evans
- Rush University Medical Center Chicago Illinois United States
| | - Philip De Jager
- Brigham & Women's Hospital Boston Massachusetts United States
| | - Paul Crane
- Brigham & Women's Hospital Boston Massachusetts United States
| | | | | | - Mark Logue
- Boston University School of Medicine/Biomedical Genetics Boston Massachusetts United States
| | - Robert Green
- University of Pittsburgh Schools of Nursing and Medicine Pittsburgh Pennsylvania United States
| | - Laura Cantwell
- University of Pennsylvania Philadelphia Pennsylvania United States
| | | | - Jennifer Manly
- Columbia University Medical Center New York New York United States
| | - Kathryn Lunetta
- Boston University School of Public Health Boston Massachusetts United States
| | - Ilyas Kamboh
- University of Pittsburgh Pittsburgh Pennsylvania United States
| | - Oscar Lopez
- University of Pittsburgh Pittsburgh Pennsylvania United States
| | - David Bennett
- Rush University Medical Center Chicago Illinois United States
| | | | - Alison Goate
- Washington University, Saint Louis St. Louis Missouri United States
| | - Goldie Byrd
- North Carolina A&T State University Greensboro North Carolina United States
| | - Walter Kukull
- National Alzheimer's Coordinating Center Seattle Washington United States
| | - Tatiana Foroud
- Indiana University School of Medicine Indianapolis Indiana United States
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Monsell SE, Mock C, Roe CM, Ghoshal N, Morris JC, Cairns NJ, Kukull W. Comparison of symptomatic and asymptomatic persons with Alzheimer disease neuropathology. Neurology 2013; 80:2121-9. [PMID: 23645594 DOI: 10.1212/wnl.0b013e318295d7a1] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES We sought to identify demographic and clinical features that were associated with expression of symptoms in the presence of Alzheimer disease (AD) neuropathologic changes. METHODS We studied 82 asymptomatic (Clinical Dementia Rating global score = 0) and 824 symptomatic subjects (Clinical Dementia Rating score >0) with low to high AD neuropathologic changes at autopsy who were assessed at 1 of 34 National Institute on Aging-funded Alzheimer's Disease Centers. All subjects underwent a clinical examination within 1 year of death. Logistic regression was used to evaluate factors associated with the odds of being asymptomatic vs symptomatic. RESULTS Asymptomatic subjects tended to have low neurofibrillary tangle scores but a wide range of neuritic plaque frequencies. There were, however, a few asymptomatic subjects with very high tangle and neuritic plaque burden, as well as symptomatic subjects with few changes. In the multivariable model, asymptomatic subjects were older (odds ratio [OR] = 1.04; 95% confidence interval [CI] = 1.01-1.07), had lower clinical Hachinski Ischemic Score (OR = 0.82; 95% CI = 0.69-0.97), were less likely to have an APOE ε4 allele (OR = 0.36; 95% CI = 0.16-0.83), and had lower neurofibrillary tangle score (OR = 0.28; 95% CI = 0.17-0.45) compared with symptomatic subjects. CONCLUSIONS Dissociating clinical symptoms from pathologic findings better allows for investigation of preclinical AD. Our results suggest that although the severity of the pathology, particularly neurofibrillary tangles, has a large role in determining the extent of symptoms, other factors, including age, APOE status, and comorbidities such as cerebrovascular disease also explain differences in clinical presentation.
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Affiliation(s)
- Sarah E Monsell
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA.
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Tsuang D, Leverenz JB, Lopez OL, Hamilton RL, Bennett DA, Schneider JA, Buchman AS, Larson EB, Crane PK, Kaye JA, Kramer P, Woltjer R, Trojanowski JQ, Weintraub D, Chen-Plotkin AS, Irwin DJ, Rick J, Schellenberg GD, Watson GS, Kukull W, Nelson PT, Jicha GA, Neltner JH, Galasko D, Masliah E, Quinn JF, Chung KA, Yearout D, Mata IF, Wan JY, Edwards KL, Montine TJ, Zabetian CP. APOE ε4 increases risk for dementia in pure synucleinopathies. JAMA Neurol 2013; 70:223-8. [PMID: 23407718 DOI: 10.1001/jamaneurol.2013.600] [Citation(s) in RCA: 244] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To test for an association between the apolipoprotein E (APOE) ϵ4 allele and dementias with synucleinopathy. DESIGN Genetic case-control association study. SETTING Academic research. PATIENTS Autopsied subjects were classified into 5 categories: dementia with high-level Alzheimer disease (AD) neuropathologic changes (NCs) but without Lewy body disease (LBD) NCs (AD group; n=244), dementia with LBDNCs and high-level ADNCs (LBD-AD group; n=224), dementia with LBDNCs and no or low levels of ADNCs (pure DLB [pDLB] group; n=91), Parkinson disease dementia (PDD) with no or low levels of ADNCs (n=81), and control group (n=269). MAIN OUTCOME MEASURE The APOE allele frequencies. RESULTS The APOE ϵ4 allele frequency was significantly higher in the AD (38.1%), LBD-AD (40.6%), pDLB (31.9%), and PDD (19.1%) groups compared with the control group (7.2%; overall χ(2)(4)=185.25; P=5.56 × 10(-39)), and it was higher in the pDLB group than the PDD group (P= .01). In an age-adjusted and sex-adjusted dominant model, ϵ4 was strongly associated with AD (odds ratio, 9.9; 95% CI, 6.4-15.3), LBD-AD (odds ratio, 12.6; 95% CI, 8.1-19.8), pDLB (odds ratio, 6.1; 95% CI, 3.5-10.5), and PDD (odds ratio, 3.1; 95% CI, 1.7-5.6). CONCLUSIONS The APOE ϵ4 allele is a strong risk factor across the LBD spectrum and occurs at an increased frequency in pDLB relative to PDD. This suggests that ϵ4 increases the likelihood of presenting with dementia in the context of a pure synucleinopathy. The elevated ϵ4 frequency in the pDLB and PDD groups, in which the overall brain neuritic plaque burden was low, indicates that apoE might contribute to neurodegeneration through mechanisms unrelated to amyloid processing.
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Affiliation(s)
- Debby Tsuang
- Veterans Affairs Puget Sound Health Care System, Seattle,WA98108, USA
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Tsuang D, Leverenz JB, Lopez OL, Hamilton RL, Bennett DA, Schneider JA, Buchman AS, Larson EB, Crane PK, Kaye JA, Kramer P, Woltjer R, Kukull W, Nelson PT, Jicha GA, Neltner JH, Galasko D, Masliah E, Trojanowski JQ, Schellenberg GD, Yearout D, Huston H, Fritts-Penniman A, Mata IF, Wan JY, Edwards KL, Montine TJ, Zabetian CP. GBA mutations increase risk for Lewy body disease with and without Alzheimer disease pathology. Neurology 2012; 79:1944-50. [PMID: 23035075 DOI: 10.1212/wnl.0b013e3182735e9a] [Citation(s) in RCA: 114] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES Mutations in the GBA gene occur in 7% of patients with Parkinson disease (PD) and are a well-established susceptibility factor for PD, which is characterized by Lewy body disease (LBD) neuropathologic changes (LBDNCs). We sought to determine whether GBA influences risk of dementia with LBDNCs, Alzheimer disease (AD) neuropathologic changes (ADNCs), or both. METHODS We screened the entire GBA coding region for mutations in controls and in subjects with dementia and LBDNCs and no or low levels of ADNCs (pure dementia with Lewy bodies [pDLB]), LBDNCs and high-level ADNCs (LBD-AD), and high-level ADNCs but without LBDNCs (AD). RESULTS Among white subjects, pathogenic GBA mutations were identified in 6 of 79 pDLB cases (7.6%), 8 of 222 LBD-AD cases (3.6%), 2 of 243 AD cases (0.8%), and 3 of 381 controls (0.8%). Subjects with pDLB and LBD-AD were more likely to carry mutations than controls (pDLB: odds ratio [OR] = 7.6; 95% confidence interval [CI] = 1.8-31.9; p = 0.006; LBD-AD: OR = 4.6; CI = 1.2-17.6; p = 0.025), but there was no significant difference in frequencies between the AD and control groups (OR = 1.1; CI = 0.2-6.6; p = 0.92). There was a highly significant trend test across groups (χ(2)(1) = 19.3; p = 1.1 × 10(-5)), with the likelihood of carrying a GBA mutation increasing in the following direction: control/AD < LBD-AD < pDLB. CONCLUSIONS GBA is a susceptibility gene across the LBD spectrum, but not in AD, and appears to convey a higher risk for PD and pDLB than for LBD-AD. PD and pDLB might be more similar to one another in genetic determinants and pathophysiology than either disease is to LBD-AD.
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Affiliation(s)
- Debby Tsuang
- Veterans Affairs Puget Sound Health Care System Seattle, WA, USA.
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Meranus D, Monsell S, Thomas G, Kukull W. P4‐217: Cholinesterase inhibitors and memantine use in the National Alzheimer's Coordinating Center's Uniform Data Set: A longitudinal assessment of real‐world medication use in dementia. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.1922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Dana Meranus
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
| | - Sarah Monsell
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
| | - George Thomas
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
| | - Walter Kukull
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
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Besser L, Monsell S, Kukull W. P3‐253: Comparison of neuropsychological test scores among English and Spanish speakers in a multi‐regional sample of cognitively normal subjects. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.1476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Lilah Besser
- University of WashingtonSeattleWashingtonUnited States
| | - Sarah Monsell
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
| | - Walter Kukull
- University of WashingtonSeattleWashingtonUnited States
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Sadak T, Kukull W, Borson S, Logsdon R, Cochrane B, Herting J. Multidimensional Complexity in the Dementias: Diagnosis, Stage, Comorbidity, and Neuropsychiatric Symptoms (P07.160). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.p07.160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Beach TG, Monsell SE, Phillips LE, Kukull W. Accuracy of the clinical diagnosis of Alzheimer disease at National Institute on Aging Alzheimer Disease Centers, 2005-2010. J Neuropathol Exp Neurol 2012; 71:266-73. [PMID: 22437338 PMCID: PMC3331862 DOI: 10.1097/nen.0b013e31824b211b] [Citation(s) in RCA: 676] [Impact Index Per Article: 56.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The neuropathologic examination is considered to provide the gold standard for Alzheimer disease (AD). To determine the accuracy of currently used clinical diagnostic methods, clinical and neuropathologic data from the National Alzheimer's Coordinating Center, which gathers information from the network of National Institute on Aging (NIA)-sponsored Alzheimer Disease Centers (ADCs), were collected as part of the National Alzheimer's Coordinating Center Uniform Data Set (UDS) between 2005 and 2010. A database search initially included all 1198 subjects with at least one UDS clinical assessment and who had died and been autopsied; 279 were excluded as being not demented or because critical data fields were missing. The final subject number was 919. Sensitivity and specificity were determined based on "probable" and "possible" AD levels of clinical confidence and 4 levels of neuropathologic confidence based on varying neuritic plaque densities and Braak neurofibrillary stages. Sensitivity ranged from 70.9% to 87.3%; specificity ranged from 44.3% to 70.8%. Sensitivity was generally increased with more permissive clinical criteria and specificity was increased with more restrictive criteria, whereas the opposite was true for neuropathologic criteria. When a clinical diagnosis was not confirmed by minimum levels of AD histopathology, the most frequent primary neuropathologic diagnoses were tangle-only dementia or argyrophilic grain disease, frontotemporal lobar degeneration, cerebrovascular disease, Lewy body disease and hippocampal sclerosis. When dementia was not clinically diagnosed as AD, 39% of these cases met or exceeded minimum threshold levels of AD histopathology. Neurologists of the NIA-ADCs had higher predictive accuracy when they diagnosed AD in subjects with dementia than when they diagnosed dementing diseases other than AD. The misdiagnosis rate should be considered when estimating subject numbers for AD studies, including clinical trials and epidemiologic studies.
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Affiliation(s)
- Thomas G Beach
- Banner Sun Health Research Institute, Sun City, Arizona 85351, USA.
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Monsell S, Liu D, Weintraub S, Kukull W. P3‐091: Comparing Global measures of cognitive decline in amnestic mci subjects in the National Alzheimer's Coordinating Center (NACC) uniform data set. Alzheimers Dement 2011. [DOI: 10.1016/j.jalz.2011.05.1531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Sarah Monsell
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
| | - Danping Liu
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
| | | | - Walter Kukull
- National Alzheimer's Coordinating CenterSeattleWashingtonUnited States
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