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Wang B, Chibnik LB, Choi SH, Blacker D, DeStefano AL, Lin H. Association of genetic risk of Alzheimer's disease and cognitive function in two European populations. Sci Rep 2025; 15:6410. [PMID: 39984543 PMCID: PMC11845681 DOI: 10.1038/s41598-025-90277-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Accepted: 02/11/2025] [Indexed: 02/23/2025] Open
Abstract
Although there is some evidence of an association between Alzheimer's disease polygenic risk score (AD PRS) and cognitive function, limited validations have been performed in large populations. We investigated the relationship between AD PRS and cognitive function in the UK Biobank in over 276,000 participants and further validated the association in the Alzheimer's Disease Neuroimaging Initiative (ADNI) sample. We developed the AD PRS (excluded the APOE variants) in the middle age UK Biobank participants (age ranged 39-72, mean age 57 years) of European ancestries by LDpred2. To validate the association of AD PRS and cognitive function internally in the UK Biobank, we linearly regressed standardized cognitive function on continuous standardized AD PRS with age at cognitive test, sex, genotyping array, first 10 principal components of genotyping, smoking, education in years, body mass index, and apolipoprotein E gene ε4 (APOE4) risk allele dosages. To validate the associations externally, we ran the linear mixed effects model in the ADNI sample free of dementia (age ranged 55-91, mean age 73), including similar covariates as fixed effects and participants' IDs as the random effect. Stratification by age, APOE4 carrier status, and cognitive status (cognitively normal or mild cognitive impairment) was also investigated. Our study validated the associations of AD PRS and cognitive function in both midlife and late-life observational cohorts. Although not all of the cognitive measures were significantly associated with AD PRS, non-verbal fluid reasoning (matrix pattern completion, β = - 0.022, P = 0.003), processing speed (such as symbol digit substitution, β = - 0.017, P = 1.08E-05), short-term memory and attention (such as pairs matching, β = - 0.014, P = 1.66E-10), and reaction time (β = - 0.010, P = 1.19E-06) were inversely associated with increasing AD PRS in the UK Biobank. Higher likelihood of cognitive impairment was also associated with higher AD PRS in the ADNI cognitive normal individuals (AD assessment scale β = 0.079, P = 0.02). In summary, we confirmed that poorer cognitive function was associated with a higher polygenic AD risk, and suggested the potential utility of the AD PRS in identifying those who may be at risk for further cognitive decline.
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Affiliation(s)
- Biqi Wang
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
| | - Lori B Chibnik
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Seung Hoan Choi
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Deborah Blacker
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Anita L DeStefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
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Miramontes S, Khan U, Ferguson EL, Sirota M, Glymour MM. The association of cholesterol levels with memory and memory change over a 14-year period in a US national cohort. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2025; 11:e70021. [PMID: 39759951 PMCID: PMC11696025 DOI: 10.1002/trc2.70021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Accepted: 10/04/2024] [Indexed: 01/07/2025]
Abstract
INTRODUCTION The impact of cholesterol on late-life cognition remains controversial. We investigated the association of high-density lipoprotein cholesterol (HDL-C) and non-HDL-C with memory in a nationally representative cohort. METHODS Health and Retirement Study (HRS) participants (N = 13,258) aged 50+ (mean age: 67.2 years) followed from 2006 to 2020 provided cholesterol measures every 4 years and cognitive assessments biennially. Linear mixed models predicted memory scores using both baseline and time-updated cholesterol values. RESULTS Higher baseline HDL-C (mean: 53.9 mg/dL) predicted better memory scores (β: 0.05, 95% confidence interval [CI]: 0.03 to 0.08), but not memory change. Baseline non-HDL-C (mean: 143 mg/dL) predicted poorer memory scores (β: -0.01, 95% CI: -0.02 to 0.00), but not memory change. Time-updated HDL-C predicted better memory (β: 0.02, 95% CI: 0.00 to 0.04), but non-HDL-C showed no such associations. DISCUSSION While higher peripheral HDL-C is linked to better memory, the small effect sizes and absence of associations of HDL-C and non-HD-CL with memory change suggests that peripheral cholesterol has a small effect on the variation of memory scores. Highlights Higher HDL-C levels predict better memory scores but not memory change across 14 years of follow-up.Baseline higher LDL-C levels predict poorer memory scores across time, but not memory change.The small effects and absence of consistent association between cholesterol levels and memory change suggest that cholesterol plays a minor role in cognitive decline.
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Affiliation(s)
- Silvia Miramontes
- Bakar Computational Health Sciences InstituteUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Umair Khan
- Bakar Computational Health Sciences InstituteUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Erin L. Ferguson
- Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Marina Sirota
- Bakar Computational Health Sciences InstituteUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of Pediatrics and MedicineUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - M. Maria Glymour
- Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
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Escamilla S, Salas-Lucia F. Thyroid Hormone and Alzheimer Disease: Bridging Epidemiology to Mechanism. Endocrinology 2024; 165:bqae124. [PMID: 39276028 DOI: 10.1210/endocr/bqae124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 08/12/2024] [Accepted: 09/12/2024] [Indexed: 09/16/2024]
Abstract
The identification of critical factors that can worsen the mechanisms contributing to the pathophysiology of Alzheimer disease is of paramount importance. Thyroid hormones (TH) fit this criterion. Epidemiological studies have identified an association between altered circulating TH levels and Alzheimer disease. The study of human and animal models indicates that TH can affect all the main cellular, molecular, and genetic mechanisms known as hallmarks of Alzheimer disease. This is true not only for the excessive production in the brain of protein aggregates leading to amyloid plaques and neurofibrillary tangles but also for the clearance of these molecules from the brain parenchyma via the blood-brain barrier and for the escalated process of neuroinflammation-and even for the effects of carrying Alzheimer-associated genetic variants. Suboptimal TH levels result in a greater accumulation of protein aggregates in the brain. The direct TH regulation of critical genes involved in amyloid beta production and clearance is remarkable, affecting the expression of multiple genes, including APP (related to amyloid beta production), APOE, LRP1, TREM2, AQP4, and ABCB1 (related to amyloid beta clearance). TH also affects microglia by increasing their migration and function and directly regulating the immunosuppressor gene CD73, impacting the immune response of these cells. Studies aiming to understand the mechanisms that could explain how changes in TH levels can contribute to the brain alterations seen in patients with Alzheimer disease are ongoing. These studies have potential implications for the management of patients with Alzheimer disease and ultimately can contribute to devising new interventions for these conditions.
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Affiliation(s)
- Sergio Escamilla
- Instituto de Neurociencias, CSIC-Universidad Miguel Hernández, Alicante 03550, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Alicante 03550, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante 03010, Spain
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Rahman MS, Harrison E, Biggs H, Seikus C, Elliott P, Breen G, Kingston N, Bradley JR, Hill SM, Tom BDM, Chinnery PF. Dynamics of cognitive variability with age and its genetic underpinning in NIHR BioResource Genes and Cognition cohort participants. Nat Med 2024; 30:1739-1748. [PMID: 38745010 PMCID: PMC11186791 DOI: 10.1038/s41591-024-02960-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 03/28/2024] [Indexed: 05/16/2024]
Abstract
A leading explanation for translational failure in neurodegenerative disease is that new drugs are evaluated late in the disease course when clinical features have become irreversible. Here, to address this gap, we cognitively profiled 21,051 people aged 17-85 years as part of the Genes and Cognition cohort within the National Institute for Health and Care Research BioResource across England. We describe the cohort, present cognitive trajectories and show the potential utility. Surprisingly, when studied at scale, the APOE genotype had negligible impact on cognitive performance. Different cognitive domains had distinct genetic architectures, with one indicating brain region-specific activation of microglia and another with glycogen metabolism. Thus, the molecular and cellular mechanisms underpinning cognition are distinct from dementia risk loci, presenting different targets to slow down age-related cognitive decline. Participants can now be recalled stratified by genotype and cognitive phenotype for natural history and interventional studies of neurodegenerative and other disorders.
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Affiliation(s)
- Md Shafiqur Rahman
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Emma Harrison
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research BioResource, Cambridge, UK
| | - Heather Biggs
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research BioResource, Cambridge, UK
| | - Chloe Seikus
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research BioResource, Cambridge, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, UK
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health Research Biomedical Research Centre for Mental Health, South London and Maudsley Hospital, London, UK
| | - Nathalie Kingston
- National Institute for Health and Care Research BioResource, Cambridge, UK
- Dept of Haematology, Cambridge University, Cambridge, UK
| | - John R Bradley
- National Institute for Health and Care Research BioResource, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Steven M Hill
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK
| | - Brian D M Tom
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
| | - Patrick F Chinnery
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
- National Institute for Health and Care Research BioResource, Cambridge, UK.
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK.
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Xu Y, Sun Z, Jonaitis E, Deming Y, Lu Q, Johnson SC, Engelman CD. Mid-to-Late Life Healthy Lifestyle Modifies Genetic Risk for Longitudinal Cognitive Aging among Asymptomatic Individuals. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.26.24307953. [PMID: 38853902 PMCID: PMC11160812 DOI: 10.1101/2024.05.26.24307953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
IMPORTANCE Genetic and lifestyle factors contribute to an individual's risk of developing Alzheimer's disease. However, it is unknown whether and how adherence to healthy lifestyles can mitigate the genetic risk of Alzheimer's. OBJECTIVE The aim of this study is to investigate whether adherence to healthy lifestyles can modify the impact of genetic predisposition to Alzheimer's disease on later-life cognitive decline. DESIGN SETTING AND PARTICIPANTS This prospective cohort study included 891 adults of European ancestry, aged 40 to 65, who were without dementia and had complete healthy-lifestyle and cognition data during the follow-up. Participants joined the Wisconsin Registry for Alzheimer's Prevention (WRAP) beginning in 2001. We conducted replication analyses using a subsample with similar baseline age range from the Health and Retirement Study (HRS). EXPOSURES We assessed participants' exposures using a continuous non-APOE polygenic risk score for Alzheimer's, a binary indicator for APOE-ε4 carrier status, and a weighted healthy-lifestyle score, including factors such as no current smoking, regular physical activity, healthy diet, light to moderate alcohol consumption, and frequent cognitive activities. MAIN OUTCOMES AND MEASURES We z-standardized cognitive scores for global (Preclinical Alzheimer's Cognitive Composite score 3 - PACC3) and domain-specific assessments (delayed recall and immediate learning). RESULTS We followed 891 individuals for up to 10 years (mean [SD] baseline age, 58 [6] years, 31% male, 38% APOE-ε4 carriers). After false discovery rate (FDR) correction, we found statistically significant PRS × lifestyle × age interactions on preclinical cognitive decline but the evidence is stronger among APOE-ε4 carriers. Among APOE-ε4 carriers, PRS-related differences in overall and memory-related domains between people scoring 0-1 and 4-5 regarding healthy lifestyles became evident around age 67 after FDR correction. These findings were robust across several sensitivity analyses and were replicated in the population-based HRS. CONCLUSION A favorable lifestyle can mitigate the genetic risk associated with current known non-APOE genetic variants for longitudinal cognitive decline, and these protective effects are particularly pronounced among APOE-ε4 carriers.
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Affiliation(s)
- Yuexuan Xu
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University
| | - Zhongxuan Sun
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Erin Jonaitis
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison
| | - Yuetiva Deming
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Qiongshi Lu
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Sterling C. Johnson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison
| | - Corinne D. Engelman
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University
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Buto PT, Wang J, La Joie R, Zimmerman SC, Glymour MM, Ackley SF, Hoffmann TJ, Yaffe K, Zeki Al Hazzouri A, Brenowitz WD. Genetic risk score for Alzheimer's disease predicts brain volume differences in mid and late life in UK biobank participants. Alzheimers Dement 2024; 20:1978-1987. [PMID: 38183377 PMCID: PMC10984491 DOI: 10.1002/alz.13610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 10/18/2023] [Accepted: 11/26/2023] [Indexed: 01/08/2024]
Abstract
INTRODUCTION We estimated the ages when associations between Alzheimer's disease (AD) genes and brain volumes begin among middle-aged and older adults. METHODS Among 45,616 dementia-free participants aged 45-80, linear regressions tested whether genetic risk score for AD (AD-GRS) had age-dependent associations with 38 regional brain magnetic resonance imaging volumes. Models were adjusted for sex, assessment center, genetic ancestry, and intracranial volume. RESULTS AD-GRS modified the estimated effect of age (per decade) on the amygdala (-0.41 mm3 [-0.42, -0.40]); hippocampus (-0.45 mm3 [-0.45, -0.44]), nucleus accumbens (-0.55 mm3 [-0.56, -0.54]), thalamus (-0.38 mm3 [-0.39, -0.37]), and medial orbitofrontal cortex (-0.23 mm3 [-0.24, -0.22]). Trends began by age 45 for the nucleus accumbens and thalamus, 48 for the hippocampus, 51 for the amygdala, and 53 for the medial orbitofrontal cortex. An AD-GRS excluding apolipoprotein E (APOE) was additionally associated with entorhinal and middle temporal cortices. DISCUSSION APOE and other genes that increase AD risk predict lower hippocampal and other brain volumes by middle age.
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Affiliation(s)
- Peter T. Buto
- Department of Epidemiology & BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
| | - Jingxuan Wang
- Department of Epidemiology & BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
| | - Renaud La Joie
- Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Scott C. Zimmerman
- Department of Epidemiology & BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - M. Maria Glymour
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
| | - Sarah F. Ackley
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
| | - Thomas J. Hoffmann
- Department of Epidemiology & BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Kristine Yaffe
- Department of Epidemiology & BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Departments of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Departments of NeurologyUniversity of CaliforniaSan FranciscoUSA
| | - Adina Zeki Al Hazzouri
- Department of EpidemiologyMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
| | - Willa D. Brenowitz
- Department of Epidemiology & BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Kaiser Permanente Center for Health ResearchPortlandOregonUSA
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Xu Y, Sun Z, Jonaitis E, Deming Y, Lu Q, Johnson SC, Engelman CD. Apolipoprotein E moderates the association between non-APOE polygenic risk score for Alzheimer's disease and aging on preclinical cognitive function. Alzheimers Dement 2024; 20:1063-1075. [PMID: 37858606 PMCID: PMC10916952 DOI: 10.1002/alz.13515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 09/01/2023] [Accepted: 09/25/2023] [Indexed: 10/21/2023]
Abstract
INTRODUCTION Variation in preclinical cognitive decline suggests additional genetic factors related to Alzheimer's disease (eg, a non-APOE polygenic risk score [PRS]) may interact with the APOE ε4 allele to influence cognitive decline. METHODS We tested the PRS × APOE ε4 × age interaction on preclinical cognition using longitudinal data from the Wisconsin Registry for Alzheimer's Prevention. All analyses were fitted using a linear mixed-effects model and adjusted for within individual/family correlation among 1190 individuals. RESULTS We found statistically significant PRS × APOE ε4 × age interactions on immediate learning (P = 0.038), delayed recall (P < 0.001), and Preclinical Alzheimer's Cognitive Composite 3 score (P = 0.026). PRS-related differences in overall and memory-related cognitive domains between people with and without APOE ε4 emerge around age 70, with a much stronger adverse PRS effect among APOE ε4 carriers. The findings were replicated in a population-based cohort. DISCUSSIONS APOE ε4 can modify the association between PRS and cognition decline. HIGHLIGHTS APOE ε4 can modify the association between polygenic risk scores (PRSs) and longitudinal cognition decline, with the modifying effects more pronounced when the PRS is constructed using a conservative P threshold (eg, P < 5e-8 ). The adverse genetic effect caused by the combined effect of the currently known genetic variants is more detrimental among APOE ε4 carriers around age 70. Individuals who are APOE ε4 carriers with high PRSs are the most vulnerable to the harmful effects caused by genetic burden.
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Affiliation(s)
- Yuexuan Xu
- Department of Population Health ScienceSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Zhongxuan Sun
- Department of Biostatistics and Medical InformaticsSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Erin Jonaitis
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Yuetiva Deming
- Department of Population Health ScienceSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of MedicineSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Qiongshi Lu
- Department of Biostatistics and Medical InformaticsSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of MedicineSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Corinne D. Engelman
- Department of Population Health ScienceSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Yu J, Tang W, Sulaiman Z, Ma X, Wang J, Shi Z, Liu Q, Xie Z, Shen Y. The Association Between Surgery and Mild Cognitive Impairment: Insight from a Case-Control Study. J Alzheimers Dis 2024; 100:1379-1388. [PMID: 39031365 DOI: 10.3233/jad-240467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2024]
Abstract
BACKGROUND Surgery may be associated with postoperative cognitive impairment in elder participants, yet the extent of its association with mild cognitive impairment (MCI) remains undetermined. OBJECTIVE To determine the relationship between surgery and MCI. METHODS The data of participants from the Alzheimer's Disease Neuroimaging Initiative were analyzed, including individuals with MCI or normal cognition. We focused on surgeries conducted after the age of 45, categorized by the number of surgeries, surgical risk, and the age at which surgeries occurred. Multivariable logistic regression was employed to determine the association between surgery and the development of MCI. RESULTS The study is comprised of 387 individuals with MCI and 578 cognitively normal individuals. The overall surgery exposure (adjusted OR = 1.14, [95% CI 0.83, 1.56], p = 0.43) and the number of surgeries (adjusted OR = 0.92 [0.62, 1.36], p = 0.67 for single exposure, adjusted OR = 1.12 [0.71, 1.78], p = 0.63 for two exposures, adjusted OR = 1.38 [0.95, 2.01], p = 0.09 for three or more exposures compared to no exposure as the reference) were not associated with the development of MCI. However, high-risk surgeries (adjusted OR = 1.79 [1.00, 3.21], p = 0.049) or surgeries occurring after the age of 75 (adjusted OR = 2.01 [1.03, 3.90], p = 0.041) were associated with a greater risk of developing MCI. CONCLUSIONS High risk surgeries occurring at an older age contribute to the development of MCI, indicating a complex of mechanistic insights for the development of postoperative cognitive impairment.
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Affiliation(s)
- Jian Yu
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
- Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai, China
| | - Wenyu Tang
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
- Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai, China
| | - Zubaidan Sulaiman
- Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin Ma
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
- Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai, China
| | - Jiayi Wang
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
- Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai, China
| | - Zhongyong Shi
- Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qidong Liu
- Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai, China
| | - Zhongcong Xie
- Geriatric Anesthesia Research Unit, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Yuan Shen
- Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Ahmed FS, Guenther BA, Thompson JL, Lagerstrom L, Robbins MA. Role of light walking pace on cognition: Findings from the Maine-Syracuse Longitudinal Study. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-15. [PMID: 37402210 PMCID: PMC10764642 DOI: 10.1080/23279095.2023.2228952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
Moderate- to vigorous intensities of physical activity are recommended for health promotion, including brain health. Regular physical activity is considered a modifiable factor to delay -perhaps prevent- onset of dementias such as Alzheimer's disease. Little is known about the benefits of light physical activity. We analyzed data from a 998 community-dwelling, cognitively unimpaired participants from the Maine-Syracuse Longitudinal Study (MSLS) and investigated the role of light physical activity, defined by walking pace, across two time points. Results revealed light levels of walking pace were associated with higher performance at the first timepoint and less decline by time 2 in the domains of verbal abstract reasoning and visual scanning and tracking, which includes both processing speed and executive function skills. When examining change over time (N = 583), increasing walking pace was associated with less decline at time two for the domains of visual scanning and tracking, working memory, visual spatial ability, and working memory, but not verbal abstract reasoning. These findings highlight the relevance of light physical activity and the need to investigate its contribution to cognitive function. From a public health perspective, this may encourage more adults to adopt a light level of exercise and still reap health benefits.
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Affiliation(s)
- Fayeza S. Ahmed
- Department of Psychology, University of Maine, 301 Beryl Warner Williams Hall, Orono, ME 04469, USA
| | - Benjamin A. Guenther
- Department of Psychology, University of Maine, 301 Beryl Warner Williams Hall, Orono, ME 04469, USA
| | - Jennifer L. Thompson
- Department of Psychology, University of Maine, 301 Beryl Warner Williams Hall, Orono, ME 04469, USA
| | - Lindsey Lagerstrom
- Department of Psychology, University of Maine, 301 Beryl Warner Williams Hall, Orono, ME 04469, USA
| | - Michael A. Robbins
- Department of Psychology, University of Maine, 301 Beryl Warner Williams Hall, Orono, ME 04469, USA
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Vasiljevic E, Koscik RL, Jonaitis E, Betthauser T, Johnson SC, Engelman CD. Cognitive trajectories diverge by genetic risk in a preclinical longitudinal cohort. Alzheimers Dement 2023; 19:3108-3118. [PMID: 36723444 PMCID: PMC10390653 DOI: 10.1002/alz.12920] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/06/2022] [Accepted: 12/12/2022] [Indexed: 02/02/2023]
Abstract
INTRODUCTION We sought to characterize the timing of changes in cognitive trajectories related to genetic risk using the apolipoprotein E (APOE) score, a continuous measure of Alzheimer's disease (AD) risk. We also aimed to determine whether that timing was different when genetic risk was measured using an AD polygenic risk score (PRS) that contains APOE. METHODS We analyzed trajectories (N ≈1135) for four neuropsychological composite scores using mixed effects regression for longitudinal change across APOE scores and PRS of participants in the Wisconsin Registry for Alzheimer's Prevention, a longitudinal study of adults aged 40 to 70 at baseline, with a median participant follow-up time of 7.8 years. RESULTS We found a significant non-linear age-by-APOE score interaction in predicting cognitive decline. Cognitive trajectories diverged by APOE score at approximately 65 years of age. A 0.5 standard deviation difference in cognition between extreme percentiles of the PRS was predicted to occur 1 to 2 years before that of the APOE score. DISCUSSION Cognitive decline differs across time and APOE score. Estimates did not substantially shift with the AD PRS. HIGHLIGHTS The apolipoprotein E (APOE) score, a continuous measure, accounts for non-linear genetic risk of Alzheimer's disease. Non-linear age interacts with the APOE score to affect cognition. Cognitive decline starts to differ by APOE score levels at approximately age 65. Cognitive decline timing by polygenic risk (including APOE) is similar to APOE alone.
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Affiliation(s)
- Eva Vasiljevic
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, 610 Walnut Dr., Madison, WI 53726, USA
- Center for Demography of Health and Aging, University of Wisconsin-Madison, 1180 Observatory Drive Madison, WI 53706, USA
| | - Rebecca Langhough Koscik
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, 610 Walnut Street, 9th Floor, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, MC 2420, Madison, Wisconsin 53792, USA
| | - Erin Jonaitis
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, 610 Walnut Street, 9th Floor, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, MC 2420, Madison, Wisconsin 53792, USA
| | - Tobey Betthauser
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, MC 2420, Madison, Wisconsin 53792, USA
- Department of Medicine, University of Wisconsin-Madison, 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, 610 Walnut Street, 9th Floor, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, MC 2420, Madison, Wisconsin 53792, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, 2500 Overlook Terrace, Madison, WI 53705, USA
| | - Corinne D. Engelman
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, 610 Walnut Dr., Madison, WI 53726, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, 610 Walnut Street, 9th Floor, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, MC 2420, Madison, Wisconsin 53792, USA
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11
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Xu Y, Sun Z, Jonaitis E, Deming Y, Lu Q, Johnson SC, Engelman CD. Apolipoprotein E moderates the association between Non- APOE Polygenic Risk Score for Alzheimer's Disease and Aging on Preclinical Cognitive Function. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.09.23291215. [PMID: 37398140 PMCID: PMC10312823 DOI: 10.1101/2023.06.09.23291215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
INTRODUCTION Variation in preclinical cognitive decline suggests additional genetic factors related to Alzheimer's disease (e.g., a non-APOE polygenic risk scores [PRS]) may interact with the APOE ε4 allele to influence cognitive decline. METHODS We tested the PRS×APOE ε4×age interaction on preclinical cognition using longitudinal data from the Wisconsin Registry for Alzheimer's Prevention. All analyses were fitted using a linear mixed-effects model and adjusted for within individual/family correlation among 1,190 individuals. RESULTS We found statistically significant PRS×APOE ε4×age interactions on immediate learning (P=0.038), delayed recall (P<0.001), and Preclinical Alzheimer's Cognitive Composite 3 score (P=0.026). PRS-related differences in overall and memory-related cognitive domains between people with and without APOE ε4 emerge around age 70, with a much stronger adverse PRS effect among APOE ε4 carriers. The findings were replicated in a population-based cohort. DISCUSSION APOE ε4 can modify the association between PRS and cognition decline.
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Affiliation(s)
- Yuexuan Xu
- Department of Population Health Science, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Zhongxuan Sun
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Erin Jonaitis
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison
| | - Yuetiva Deming
- Department of Population Health Science, School of Medicine and Public Health, University of Wisconsin-Madison
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Qiongshi Lu
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Sterling C. Johnson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison
| | - Corinne D. Engelman
- Department of Population Health Science, School of Medicine and Public Health, University of Wisconsin-Madison
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12
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Brenowitz WD, Fornage M, Launer LJ, Habes M, Davatzikos C, Yaffe K. Alzheimer's Disease Genetic Risk, Cognition, and Brain Aging in Midlife. Ann Neurol 2023; 93:629-634. [PMID: 36511390 PMCID: PMC9974745 DOI: 10.1002/ana.26569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 11/10/2022] [Accepted: 12/04/2022] [Indexed: 12/14/2022]
Abstract
We examined associations of an Alzheimer's disease (AD) Genetic Risk Score (AD-GRS) and midlife cognitive and neuroimaging outcomes in 1,252 middle-aged participants (311 with brain MRI). A higher AD-GRS based on 25 previously identified loci (excluding apolipoprotein E [APOE]) was associated with worse Montreal Cognitive Assessment (-0.14 standard deviation [SD] [95% confidence interval {CI}: -0.26, -0.02]), older machine learning predicted brain age (2.35 years[95%CI: 0.01, 4.69]), and white matter hyperintensity volume (0.35 SD [95% CI: 0.00, 0.71]), but not with a composite cognitive outcome, total brain, or hippocampal volume. APOE ε4 allele was not associated with any outcomes. AD risk genes beyond APOE may contribute to subclinical differences in cognition and brain health in midlife. ANN NEUROL 2023;93:629-634.
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Affiliation(s)
- Willa D Brenowitz
- Departments of Psychiatry and Behavioral Sciences, Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Myriam Fornage
- The University of Texas, Health Science Center at Houston, Houston, Texas, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland, USA
| | - Mohamad Habes
- Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Christos Davatzikos
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Behavioral Sciences, Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- San Francisco VA Medical Center, San Francisco, California, USA
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13
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Xu Y, Vasiljevic E, Deming YK, Jonaitis EM, Koscik RL, Van Hulle CA, Lu Q, Carboni M, Kollmorgen G, Wild N, Carlsson CM, Johnson SC, Zetterberg H, Blennow K, Engelman CD. Effect of Pathway-specific Polygenic Risk Scores for Alzheimer's Disease (AD) on Rate of Change in Cognitive Function and AD-related Biomarkers among Asymptomatic Individuals. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.30.23285142. [PMID: 36778431 PMCID: PMC9915839 DOI: 10.1101/2023.01.30.23285142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background Genetic scores for late-onset Alzheimer's disease (LOAD) have been associated with preclinical cognitive decline and biomarker variations. Compared with an overall polygenic risk score (PRS), a pathway-specific PRS (p-PRS) may be more appropriate in predicting a specific biomarker or cognitive component underlying LOAD pathology earlier in the lifespan. Objective In this study, we leveraged 10 years of longitudinal data from initially cognitively unimpaired individuals in the Wisconsin Registry for Alzheimer's Prevention and explored changing patterns in cognition and biomarkers at various age points along six biological pathways. Methods PRS and p-PRSs with and without apolipoprotein E ( APOE ) were constructed separately based on the significant SNPs associated with LOAD in a recent genome-wide association study meta-analysis and compared to APOE alone. We used a linear mixed-effects model to assess the association between PRS/p-PRSs and global/domain-specific cognitive trajectories among 1,175 individuals. We also applied the model to the outcomes of cerebrospinal fluid biomarkers for beta-amyloid 42 (Aβ42), Aβ42/40 ratio, total tau, and phosphorylated tau in a subset. Replication analyses were performed in an independent sample. Results We found p-PRSs and the overall PRS can predict preclinical changes in cognition and biomarkers. The effects of p-PRSs/PRS on rate of change in cognition, beta-amyloid, and tau outcomes are dependent on age and appear earlier in the lifespan when APOE is included in these risk scores compared to when APOE is excluded. Conclusion In addition to APOE , the p-PRSs can predict age-dependent changes in beta-amyloid, tau, and cognition. Once validated, they could be used to identify individuals with an elevated genetic risk of accumulating beta-amyloid and tau, long before the onset of clinical symptoms.
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Affiliation(s)
- Yuexuan Xu
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Eva Vasiljevic
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Center for Demography of Health and Aging, University of Wisconsin-Madison, WI, USA
| | - Yuetiva K. Deming
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison, WI, USA
| | - Erin M. Jonaitis
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison, WI, USA
| | - Rebecca L. Koscik
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison, WI, USA
| | - Carol A. Van Hulle
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison, WI, USA
| | - Qiongshi Lu
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | | | | | | | - Cynthia M. Carlsson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA
| | - Sterling C. Johnson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison, WI, 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
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - 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
| | - Corinne D. Engelman
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
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14
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Xu Y, Vasiljevic E, Deming YK, Jonaitis EM, Koscik RL, Van Hulle CA, Lu Q, Carboni M, Kollmorgen G, Wild N, Carlsson CM, Johnson SC, Zetterberg H, Blennow K, Engelman CD. Effect of Pathway-Specific Polygenic Risk Scores for Alzheimer's Disease (AD) on Rate of Change in Cognitive Function and AD-Related Biomarkers Among Asymptomatic Individuals. J Alzheimers Dis 2023; 94:1587-1605. [PMID: 37482996 PMCID: PMC10468904 DOI: 10.3233/jad-230097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
BACKGROUND Genetic scores for late-onset Alzheimer's disease (LOAD) have been associated with preclinical cognitive decline and biomarker variations. Compared with an overall polygenic risk score (PRS), a pathway-specific PRS (p-PRS) may be more appropriate in predicting a specific biomarker or cognitive component underlying LOAD pathology earlier in the lifespan. OBJECTIVE In this study, we leveraged longitudinal data from the Wisconsin Registry for Alzheimer's Prevention and explored changing patterns in cognition and biomarkers at various age points along six biological pathways. METHODS PRS and p-PRSs with and without APOE were constructed separately based on the significant SNPs associated with LOAD in a recent genome-wide association study meta-analysis and compared to APOE alone. We used a linear mixed-effects model to assess the association between PRS/p-PRSs and cognitive trajectories among 1,175 individuals. We also applied the model to the outcomes of cerebrospinal fluid biomarkers in a subset. Replication analyses were performed in an independent sample. RESULTS We found p-PRSs and the overall PRS can predict preclinical changes in cognition and biomarkers. The effects of PRS/p-PRSs on rate of change in cognition, amyloid-β, and tau outcomes are dependent on age and appear earlier in the lifespan when APOE is included in these risk scores compared to when APOE is excluded. CONCLUSION In addition to APOE, the p-PRSs can predict age-dependent changes in amyloid-β, tau, and cognition. Once validated, they could be used to identify individuals with an elevated genetic risk of accumulating amyloid-β and tau, long before the onset of clinical symptoms.
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Affiliation(s)
- Yuexuan Xu
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Eva Vasiljevic
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Center for Demography of Health and Aging, University of Wisconsin-Madison, WI, USA
| | - Yuetiva K. Deming
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison, WI, USA
| | - Erin M. Jonaitis
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison, WI, USA
| | - Rebecca L. Koscik
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison, WI, USA
| | - Carol A. Van Hulle
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison, WI, USA
| | - Qiongshi Lu
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | | | | | | | - Cynthia M. Carlsson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA
| | - Sterling C. Johnson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison, WI, 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
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - 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
| | - Corinne D. Engelman
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
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