1
|
Dubal DB, Elser HC. β-Amyloid in Cognitively Unimpaired Individuals-Blame Mom? JAMA Neurol 2024:2820197. [PMID: 38885009 DOI: 10.1001/jamaneurol.2024.1748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Affiliation(s)
- Dena B Dubal
- Department of Neurology and Weill Institute of Neurosciences, University of California, San Francisco
- Associate Editor, JAMA Neurology
| | - Holly C Elser
- Department of Neurology, University of Pennsylvania, Philadelphia
- Editorial Fellow, JAMA Neurology
| |
Collapse
|
2
|
Green ZD, Vidoni ED, Swerdlow RH, Burns JM, Morris JK, Honea RA. Increased Functional Connectivity of the Precuneus in Individuals with a Family History of Alzheimer's Disease. J Alzheimers Dis 2023; 91:559-571. [PMID: 36463439 PMCID: PMC9912732 DOI: 10.3233/jad-210326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND First-degree relatives of individuals with late-onset Alzheimer's disease (AD) have increased risk for AD, with children of affected parents at an especially high risk. OBJECTIVE We aimed to investigate default mode network connectivity, medial temporal cortex volume, and cognition in cognitively healthy (CH) individuals with (FH+) and without (FH-) a family history of AD, alongside amnestic mild cognitive impairment (aMCI) and AD individuals, to determine the context and directionality of dysfunction in at-risk individuals. Our primary hypothesis was that there would be a linear decline (CH FH- > CH FH+ > aMCI > AD) within the risk groups on all measures of AD risk. METHODS We used MRI and fMRI to study cognitively healthy individuals (n = 28) with and without AD family history (FH+ and FH-, respectively), those with aMCI (n = 31) and early-stage AD (n = 25). We tested connectivity within the default mode network, as well as measures of volume and thickness within the medial temporal cortex and selected seed regions. RESULTS As expected, we identified decreased medial temporal cortex volumes in the aMCI and AD groups compared to cognitively healthy groups. We also observed patterns of connectivity across risk groups that suggest a nonlinear relationship of change, such that the FH+ group showed increased connectivity compared to the FH- and AD groups (CH FH+ > CH FH- > aMCI > AD). This pattern emerged primarily in connectivity between the precuneus and frontal regions. CONCLUSION These results add to a growing literature that suggests compensatory brain function in otherwise cognitively healthy individuals with a family history of AD.
Collapse
Affiliation(s)
- Zachary D. Green
- University of Kansas Alzheimer’s Disease Research Center, University of Kansas School of Medicine, Kansas City, KS, USA,
Department of Neurology, University of Kansas School of Medicine, Kansas City, KS, USA
| | - Eric D. Vidoni
- University of Kansas Alzheimer’s Disease Research Center, University of Kansas School of Medicine, Kansas City, KS, USA,
Department of Neurology, University of Kansas School of Medicine, Kansas City, KS, USA
| | - Russell H. Swerdlow
- University of Kansas Alzheimer’s Disease Research Center, University of Kansas School of Medicine, Kansas City, KS, USA,
Department of Neurology, University of Kansas School of Medicine, Kansas City, KS, USA
| | - Jeffrey M. Burns
- University of Kansas Alzheimer’s Disease Research Center, University of Kansas School of Medicine, Kansas City, KS, USA,
Department of Neurology, University of Kansas School of Medicine, Kansas City, KS, USA
| | - Jill K. Morris
- University of Kansas Alzheimer’s Disease Research Center, University of Kansas School of Medicine, Kansas City, KS, USA,
Department of Neurology, University of Kansas School of Medicine, Kansas City, KS, USA
| | - Robyn A. Honea
- University of Kansas Alzheimer’s Disease Research Center, University of Kansas School of Medicine, Kansas City, KS, USA,
Department of Neurology, University of Kansas School of Medicine, Kansas City, KS, USA,Correspondence to: Robyn A. Honea, University of Kansas School of Medicine, Department of Neurology, University of Kansas Alzheimer’s Disease Research Center, 4350 Shawnee Mission Parkway, Fairway, KS, 66205, USA. Tel.: +1 913 588 5514; E-mail:
| |
Collapse
|
3
|
Stamm BC, Lao PJ, Rizvi B, Colon J, Igwe K, Chesebro AG, Maas B, Schupf N, Mayeux R, Manly JJ, Brickman AM. Parental History of Dementia Is Associated with Increased Small Vessel Cerebrovascular Disease. J Gerontol A Biol Sci Med Sci 2020; 75:2156-2161. [PMID: 31838489 PMCID: PMC7566406 DOI: 10.1093/gerona/glz291] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Small vessel cerebrovascular dysfunction that manifests on magnetic resonance imaging (MRI) as white matter hyperintensities (WMH) is linked to increased risk and progression of Alzheimer's disease (AD), but there is considerable debate about whether it represents a core feature of the disease. Parental history of dementia is a risk factor for AD, suggesting a strong heritable component; the examination of the extent to which parental history of dementia is associated with cerebrovascular disease could provide insight into the aggregation of AD and cerebrovascular disease. METHODS This study included 481 community-dwelling older adults (mean age = 74.07 ± 5.81; 56% women) with available MRI scans. Participants were classified as having a parental history of dementia or having no parental history based on self-report. Total WMH values were calculated and compared between the two groups with general linear models, adjusting for relevant covariates. We also compared WMH volume between those with a reported sibling history of dementia and those without. RESULTS One hundred twelve participants reported having a parental history of dementia and 369 reported no parental history. Those with parental history had greater total WMH volume than those without (F = 4.17, p = .042, partial η 2 = 0.009). Results were strongest for those with maternal versus paternal history (F = 2.43, p = .089, partial η 2 = 0.010 vs <0.001) and among Hispanic (F = 5.57, p = .020, partial η 2 = 0.038) and non-Hispanic White participants (F = 4.17, p = .042, partial η 2 = 0.009). Those with reported sibling history of dementia did not differ from those without. CONCLUSIONS Older adults with parental, particularly maternal, history of dementia have increased WMH. The results highlight the possibility that cerebrovascular changes are a core feature of AD, as WMH severity and parental history aggregate together.
Collapse
Affiliation(s)
- Bessie C Stamm
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Patrick J Lao
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Batool Rizvi
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Juliet Colon
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Kay Igwe
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Anthony G Chesebro
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Benjamin Maas
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
- G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
- G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Jennifer J Manly
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
- G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Adam M Brickman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
- G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
| |
Collapse
|
4
|
Park KS, Ganesh AB, Berry NT, Mobley YP, Karper WB, Labban JD, Wahlheim CN, Williams TM, Wideman L, Etnier JL. The effect of physical activity on cognition relative to APOE genotype (PAAD-2): study protocol for a phase II randomized control trial. BMC Neurol 2020; 20:231. [PMID: 32503473 PMCID: PMC7274941 DOI: 10.1186/s12883-020-01732-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 04/16/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND By 2050, the prevalence of Alzheimer's disease (AD) in the United States is predicted to reach 13.8 million. Despite worldwide research efforts, a cure for AD has not been identified. Thus, it is critical to identify preventive strategies that can reduce the risk of or delay the onset of AD. Physical activity (PA) has potential in this regard. This randomized clinical trial aims to (a) test the causal relationship between PA and AD-associated cognitive function for persons with a family history of AD (FH+), (b) determine the moderating role of apolipoprotein epsilon 4 (APOE4) carrier status on cognition, and (c) assess cerebral structure, cerebral function, and putative biomarkers as mediators of the effects of PA on cognition. METHODS We are recruiting cognitively normal, middle aged (40-65 years) sedentary adults with FH+. Participants are randomly assigned to a 12-month PA intervention for 3 days/week or to a control group maintaining their normal lifestyle. Saliva samples are taken at pre-test to determine APOE genotype. At pre-, mid-, and post-tests, participants complete a series of cognitive tests to assess information-processing speed, verbal and visual episodic memory, constructional praxis, mnemonic discrimination, and higher-order executive functions. At pre- and post-tests, brain imaging and blood biomarkers are assessed. DISCUSSION We hypothesize that 1) the PA group will demonstrate improved cognition compared with controls; 2) PA-derived cognitive changes will be moderated by APOE4 status; and 3) PA-induced changes in neural and blood biomarkers will contribute to cognitive changes and differ as a function of APOE4 status. Our results may provide important insights into the potential of PA to preserve neurocognitive function in people with a heightened risk of AD due to FH+ and as moderated by APOE4 status. By using sophisticated analytic techniques to assess APOE as a moderator and neurobiological mechanisms as mediators across trajectories of cognitive change in response to PA, we will advance our understanding of the potential of PA in protecting against AD. TRIAL REGISTRATION ClinicalTrials.gov NCT03876314. Registered March 15, 2019.
Collapse
Affiliation(s)
- Kyoung Shin Park
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, 27402, USA
| | - Alexis B Ganesh
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, 27402, USA
| | | | - Yashonda P Mobley
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, 27402, USA
| | - William B Karper
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, 27402, USA
| | - Jeffrey D Labban
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, 27402, USA
| | - Christopher N Wahlheim
- Department of Psychology, University of North Carolina at Greensboro, Greensboro, NC, 27402, USA
| | - Tomika M Williams
- Department of Advanced Nursing Practice and Education, East Carolina University, Greenville, NC, 27858, USA
| | - Laurie Wideman
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, 27402, USA
| | - Jennifer L Etnier
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, 27402, USA.
| |
Collapse
|
5
|
|
6
|
Buckley RF, Mormino EC, Amariglio RE, Properzi MJ, Rabin JS, Lim YY, Papp KV, Jacobs HIL, Burnham S, Hanseeuw BJ, Doré V, Dobson A, Masters CL, Waller M, Rowe CC, Maruff P, Donohue MC, Rentz DM, Kirn D, Hedden T, Chhatwal J, Schultz AP, Johnson KA, Villemagne VL, Sperling RA. Sex, amyloid, and APOE ε4 and risk of cognitive decline in preclinical Alzheimer's disease: Findings from three well-characterized cohorts. Alzheimers Dement 2018; 14:1193-1203. [PMID: 29803541 PMCID: PMC6131023 DOI: 10.1016/j.jalz.2018.04.010] [Citation(s) in RCA: 154] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 03/19/2018] [Accepted: 04/10/2018] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Our objective was to investigate the effect of sex on cognitive decline within the context of amyloid β (Aβ) burden and apolipoprotein E genotype. METHODS We analyzed sex-specific effects on Aβ-positron emission tomography, apolipoprotein, and rates of change on the Preclinical Alzheimer Cognitive Composite-5 across three cohorts, such as the Alzheimer's Disease Neuroimaging Initiative, Australian Imaging, Biomarker and Lifestyle, and Harvard Aging Brain Study (n = 755; clinical dementia rating = 0; age (standard deviation) = 73.6 (6.5); female = 55%). Mixed-effects models of cognitive change by sex, Aβ-positron emission tomography, and apolipoprotein ε4 were examined with quadratic time effects over a median of 4 years of follow-up. RESULTS Apolipoprotein ε4 prevalence and Aβ burden did not differ by sex. Sex did not directly influence cognitive decline. Females with higher Aβ exhibited faster decline than males. Post hoc contrasts suggested that females who were Aβ and apolipoprotein ε4 positive declined faster than their male counterparts. DISCUSSION Although Aβ did not differ by sex, cognitive decline was greater in females with higher Aβ. Our findings suggest that sex may play a modifying role on risk of Alzheimer's disease-related cognitive decline.
Collapse
Affiliation(s)
- Rachel F. Buckley
- The Florey Institute, The University of Melbourne, Victoria, Australia
- Melbourne School of Psychological Science, University of Melbourne, Victoria, Australia
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | | | - Rebecca E. Amariglio
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Michael J. Properzi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jennifer S. Rabin
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Yen Ying Lim
- The Florey Institute, The University of Melbourne, Victoria, Australia
| | - Kathryn V. Papp
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Heidi I. L. Jacobs
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Samantha Burnham
- The Australian eHealth Research Centre, CSIRO Health & Biosecurity, Victoria, Australia
| | - Bernard J. Hanseeuw
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Neurology, Cliniques Universitaires Saint-Luc, Institute of Neuroscience, Université Catholique de Louvain, 10 Avenue Hippocrate, 1200 Brussels, Belgium
| | - Vincent Doré
- The Australian eHealth Research Centre, CSIRO Health & Biosecurity, Queensland, Australia
| | - Annette Dobson
- The University of Queensland, School of Public Health, Faculty of Medicine, Queensland, Australia
| | - Colin L. Masters
- The Florey Institute, The University of Melbourne, Victoria, Australia
| | - Michael Waller
- The University of Queensland, School of Public Health, Faculty of Medicine, Queensland, Australia
| | - Christopher C. Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Health, Victoria, Australia
- The Department of Medicine, Austin Health, The University of Melbourne, Victoria, Australia
| | | | - Michael C. Donohue
- Department of Neurology, University of Southern California, San Diego, California, USA Words: 4122
| | - Dorene M. Rentz
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Dylan Kirn
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Trey Hedden
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA
| | - Jasmeer Chhatwal
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Aaron P. Schultz
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Keith A. Johnson
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA
| | - Victor L. Villemagne
- Department of Nuclear Medicine and Centre for PET, Austin Health, Victoria, Australia
- The Department of Medicine, Austin Health, The University of Melbourne, Victoria, Australia
| | - Reisa A. Sperling
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | | | - the Australian Imaging, Biomarker and Lifestyle study of ageing
- Corresponding author: Rachel F. Buckley, PhD, Address: Department of Neurology, Level 10, Athinoula A. Martinos Center for Biomedical Imaging, 149 13th St, Charlestown, MA, USA 02129,
| | | |
Collapse
|
7
|
Qian J, Chiou SH, Maye JE, Atem F, Johnson KA, Betensky RA. Threshold regression to accommodate a censored covariate. Biometrics 2018; 74:1261-1270. [PMID: 29933515 DOI: 10.1111/biom.12922] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 05/01/2018] [Accepted: 05/01/2018] [Indexed: 12/01/2022]
Abstract
In several common study designs, regression modeling is complicated by the presence of censored covariates. Examples of such covariates include maternal age of onset of dementia that may be right censored in an Alzheimer's amyloid imaging study of healthy subjects, metabolite measurements that are subject to limit of detection censoring in a case-control study of cardiovascular disease, and progressive biomarkers whose baseline values are of interest, but are measured post-baseline in longitudinal neuropsychological studies of Alzheimer's disease. We propose threshold regression approaches for linear regression models with a covariate that is subject to random censoring. Threshold regression methods allow for immediate testing of the significance of the effect of a censored covariate. In addition, they provide for unbiased estimation of the regression coefficient of the censored covariate. We derive the asymptotic properties of the resulting estimators under mild regularity conditions. Simulations demonstrate that the proposed estimators have good finite-sample performance, and often offer improved efficiency over existing methods. We also derive a principled method for selection of the threshold. We illustrate the approach in application to an Alzheimer's disease study that investigated brain amyloid levels in older individuals, as measured through positron emission tomography scans, as a function of maternal age of dementia onset, with adjustment for other covariates. We have developed an R package, censCov, for implementation of our method, available at CRAN.
Collapse
Affiliation(s)
- Jing Qian
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts, U.S.A
| | - Sy Han Chiou
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, U.S.A
| | - Jacqueline E Maye
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, U.S.A.,Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, U.S.A
| | - Folefac Atem
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, Texas, U.S.A
| | - Keith A Johnson
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, U.S.A
| | - Rebecca A Betensky
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, U.S.A
| |
Collapse
|
8
|
Wolters FJ, van der Lee SJ, Koudstaal PJ, van Duijn CM, Hofman A, Ikram MK, Vernooij MW, Ikram MA. Parental family history of dementia in relation to subclinical brain disease and dementia risk. Neurology 2017; 88:1642-1649. [DOI: 10.1212/wnl.0000000000003871] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 01/31/2017] [Indexed: 12/22/2022] Open
Abstract
Objective:To determine the association of parental family history with risk of dementia by age at onset and sex of affected parent in a population-based cohort.Methods:From 2000 to 2002, we assessed parental history of dementia in participants without dementia of the Rotterdam Study. We investigated associations of parental history with risk of dementia until 2015, adjusting for demographics, cardiovascular risk factors, and known genetic risk variants. Furthermore, we determined the association between parental history and markers of neurodegeneration and vascular disease on MRI.Results:Of 2,087 participants (mean age 64 years, 55% female), 407 (19.6%) reported a history of dementia in either parent (mean age at diagnosis 79 years). During a mean follow-up of 12.2 years, 142 participants developed dementia. Parental history was associated with risk of dementia independently of known genetic risk factors (hazard ratio [HR] 1.67, 95% confidence interval [CI] 1.12–2.48), in particular when parents were diagnosed at younger age (<80 years: HR 2.58, 95% CI 1.61–4.15; ≥80 years: HR 1.01, 95% CI 0.58–1.77). Accordingly, age at diagnosis in probands was highly correlated with age at diagnosis in their parents <80 years (r = 0.57, p = 0.001) but not thereafter (r = 0.17, p = 0.55). Among 1,161 participants without dementia with brain MRI, parental history was related to lower cerebral perfusion and higher burden of white matter lesions and microbleeds. Dementia risk and MRI markers were similar for paternal and maternal history.Conclusions:Parental history of dementia increases risk of dementia, primarily when age at parental diagnosis is <80 years. Unexplained heredity may be attributed in part to cerebral hypoperfusion and small vessel disease. We found no evidence of preferential maternal compared to paternal transmission.
Collapse
|
9
|
Volpi L, Pagni C, Radicchi C, Cintoli S, Miccoli M, Bonuccelli U, Tognoni G. Detecting cognitive impairment at the early stages: The challenge of first line assessment. J Neurol Sci 2017; 377:12-18. [PMID: 28477679 DOI: 10.1016/j.jns.2017.03.034] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 02/16/2017] [Accepted: 03/21/2017] [Indexed: 02/02/2023]
Affiliation(s)
- Leda Volpi
- Department of Clinical and Experimental Medicine, University of Pisa, Italy.
| | - Cristina Pagni
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - Claudia Radicchi
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - Simona Cintoli
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - Mario Miccoli
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - Ubaldo Bonuccelli
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - Gloria Tognoni
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| |
Collapse
|
10
|
Atem FD, Qian J, Maye JE, Johnson KA, Betensky RA. Linear Regression with a Randomly Censored Covariate: Application to an Alzheimer's Study. J R Stat Soc Ser C Appl Stat 2016; 66:313-328. [PMID: 28239197 DOI: 10.1111/rssc.12164] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The association between maternal age of onset of dementia and amyloid deposition (measured by in vivo positron emission tomography (PET) imaging) in cognitively normal older offspring is of interest. In a regression model for amyloid, special methods are required due to the random right censoring of the covariate of maternal age of onset of dementia. Prior literature has proposed methods to address the problem of censoring due to assay limit of detection, but not random censoring. We propose imputation methods and a survival regression method that do not require parametric assumptions about the distribution of the censored covariate. Existing imputation methods address missing covariates, but not right censored covariates. In simulation studies, we compare these methods to the simple, but inefficient complete case analysis, and to thresholding approaches. We apply the methods to the Alzheimer's study.
Collapse
Affiliation(s)
| | - Jing Qian
- University of Massachusetts, Amherst, USA
| | | | | | | |
Collapse
|