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Walker KA, An Y, Moghekar A, Moaddel R, Duggan MR, Peng Z, Tian Q, Pilling LC, Drouin SM, Espeland MA, Rapp SR, Hayden KM, Shadyab AH, Casanova R, Thambisetty M, Rapp PR, Kapogiannis D, Ferrucci L, Resnick SM. Proteomic analysis of APOEε4 carriers implicates lipid metabolism, complement and lymphocyte signaling in cognitive resilience. Mol Neurodegener 2024; 19:81. [PMID: 39482741 PMCID: PMC11526661 DOI: 10.1186/s13024-024-00772-2] [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: 03/30/2024] [Accepted: 10/16/2024] [Indexed: 11/03/2024] Open
Abstract
BACKGROUND Apolipoprotein E (APOE) ε4 allele is the strongest genetic risk factor for late onset Alzheimer's disease (AD). This case-cohort study used targeted plasma biomarkers and large-scale proteomics to examine the biological mechanisms that allow some APOEε4 carriers to maintain normal cognitive functioning in older adulthood. METHODS APOEε4 carriers and APOEε3 homozygotes enrolled in the Women's Health Initiative Memory Study (WHIMS) from 1996 to 1999 were classified as resilient if they remained cognitively unimpaired beyond age 80, and as non-resilient if they developed cognitive impairment before or at age 80. AD pathology (Aß42/40) and neurodegeneration (NfL, tau) biomarkers, as well as 1007 proteins (Olink) were quantified in blood collected at study enrollment (on average 14 years prior) when participants were cognitively normal. We identified plasma proteins that distinguished between resilient and non-resilient APOEε4 carriers, examined whether these associations generalized to APOEε3 homozygotes, and replicated these findings in the UK Biobank. RESULTS A total of 1610 participants were included (baseline age: 71.3 [3.8 SD] years; all White; 42% APOEε4 carriers). Compared to resilient APOEε4 carriers, non-resilient APOEε4 carriers had lower Aß42/40/tau ratio and greater NfL at baseline. Proteomic analyses identified four proteins differentially expressed between resilient and non-resilient APOEε4 carriers at an FDR-corrected P < 0.05. While one of the candidate proteins, a marker of neuronal injury (NfL), also distinguished resilient from non-resilient APOEε3 homozygotes, the other three proteins, known to be involved in lipid metabolism (ANGPTL4) and immune signaling (PTX3, NCR1), only predicted resilient vs. non-resilient status among APOEε4 carriers (protein*genotype interaction-P < 0.05). Three of these four proteins also predicted 14-year dementia risk among APOEε4 carriers in the UK Biobank validation sample (N = 9420). While the candidate proteins showed little to no association with targeted biomarkers of AD pathology, protein network and enrichment analyses suggested that natural killer (NK) cell and T lymphocyte signaling (via PKC-θ) distinguished resilient from non-resilient APOEε4 carriers. CONCLUSIONS We identified and replicated a plasma proteomic signature associated with cognitive resilience among APOEε4 carriers. These proteins implicate specific immune processes in the preservation of cognitive status despite elevated genetic risk for AD. Future studies in diverse cohorts will be needed to assess the generalizability of these results.
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Affiliation(s)
- Keenan A Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA.
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ruin Moaddel
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Michael R Duggan
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Zhongsheng Peng
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Qu Tian
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Luke C Pilling
- Department of Clinical & Biomedical Sciences, Faculty of Health & Life Science, University of Exeter, Exeter, UK
| | - Shannon M Drouin
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Mark A Espeland
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Stephen R Rapp
- Department of Psychiatry & Behavioral Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Social Science & Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Kathleen M Hayden
- Department of Social Science & Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Aladdin H Shadyab
- Division of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, and Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Ramon Casanova
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Madhav Thambisetty
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Peter R Rapp
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Dimitrios Kapogiannis
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
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Wang X, Younan D, Petkus AJ, Beavers DP, Espeland MA, Chui HC, Resnick SM, Gatz M, Kaufman JD, Wellenius GA, Whitsel EA, Manson JE, Chen JC. Ambient Air Pollution and Long-Term Trajectories of Episodic Memory Decline among Older Women in the WHIMS-ECHO Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:97009. [PMID: 34516296 PMCID: PMC8437247 DOI: 10.1289/ehp7668] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 08/17/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Episodic memory decline varies by age and underlying neuropathology. Whether ambient air pollution contributes to the heterogeneity of episodic memory decline in older populations remains unclear. OBJECTIVES We estimated associations between air pollution exposures and episodic memory decline according to pollutant, exposure time window, age, and latent class subgroups defined by episodic memory trajectories. METHODS Participants were from the Women's Health Initiative Memory Study-Epidemiology of Cognitive Health Outcomes. Older women (n = 2,056 ; 74-92 years of age) completed annual (2008-2018) episodic memory assessments using the telephone-based California Verbal Learning Test (CVLT). We estimated 3-y average fine particulate matter [PM with an aerodynamic diameter of ≤ 2.5 μ m (PM 2.5 )] and nitrogen dioxide (NO 2 ) exposures at baseline and 10 y earlier (recent and remote exposures, respectively), using regionalized national universal kriging. Separate latent class mixed models were used to estimate associations between interquartile range increases in exposures and CVLT trajectories in women ≤ 80 and > 80 years of age , adjusting for covariates. RESULTS Two latent classes were identified for women ≤ 80 years of age (n = 828 ), "slow-decliners" {slope = - 0.12 / y [95% confidence interval (CI): - 0.23 , - 0.01 ] and "fast-decliners" [slope = - 1.79 / y (95% CI: - 2.08 , - 1.50 )]}. In the slow-decliner class, but not the fast-decliner class, PM 2.5 exposures were associated with a greater decline in CVLT scores over time, with a stronger association for recent vs. remote exposures [- 0.16 / y (95% CI: - 2.08 , - 0.03 ) per 2.88 μ g / m 3 and - 0.11 / y (95% CI: - 0.22 , 0.01) per 3.27 μ g / m 3 , respectively]. Among women ≥ 80 years of age (n = 1,128 ), the largest latent class comprised "steady-decliners" [slope = - 1.35 / y (95% CI: - 1.53 , - 1.17 )], whereas the second class, "cognitively resilient", had no decline in CVLT on average. PM 2.5 was not associated with episodic memory decline in either class. A 6.25 -ppb increase in recent NO 2 was associated with nonsignificant acceleration of episodic memory decline in the ≤ 80 -y-old fast-decliner class [- 0.21 / y (95% CI: - 0.45 , 0.04)], and in the > 80 -y-old cognitively resilient class [- 0.10 / y (95% CI: - 0.24 , 0.03)] and steady-decliner class [- 0.11 / y (95% CI: - 0.27 , 0.05)]. Associations with recent NO 2 exposure in women > 80 years of age were stronger and statistically significant when 267 women with incident probable dementia were excluded [e.g., - 0.12 / y (95% CI: - 0.22 , - 0.02 ) for the cognitively resilient class]. In contrast with changes in CVLT over time, there were no associations between exposures and CVLT scores during follow-up in any subgroup. DISCUSSION In a community-dwelling U.S. population of older women, associations between late-life exposure to ambient air pollution and episodic memory decline varied by age-related cognitive trajectories, exposure time windows, and pollutants. https://doi.org/10.1289/EHP7668.
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Affiliation(s)
- Xinhui Wang
- Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Diana Younan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Andrew J Petkus
- Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Daniel P Beavers
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Mark A Espeland
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA
| | - Helena C Chui
- Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Department of Health and Human Services, Baltimore, Maryland, USA
| | - Margaret Gatz
- Center for Economic and Social Research, University of Southern California, Los Angeles, California, USA
| | - Joel D Kaufman
- Departments of Environmental & Occupational Health Sciences, Medicine (General Internal Medicine), and Epidemiology, University of Washington, Seattle, Washington, USA
| | - Gregory A Wellenius
- Department of Environmental Health, Boston University, Boston, Massachusetts, USA
| | - Eric A Whitsel
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - JoAnn E Manson
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jiu-Chiuan Chen
- Department of Neurology, University of Southern California, Los Angeles, California, USA
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
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Röhr S, Arai H, Mangialasche F, Matsumoto N, Peltonen M, Raman R, Riedel‐Heller SG, Sakurai T, Snyder HM, Sugimoto T, Carrillo M, Kivipelto M, Espeland MA. Impact of the COVID-19 pandemic on statistical design and analysis plans for multidomain intervention clinical trials: Experience from World-Wide FINGERS. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12143. [PMID: 33738333 PMCID: PMC7948446 DOI: 10.1002/trc2.12143] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/06/2021] [Indexed: 12/14/2022]
Abstract
INTRODUCTION The coronavirus disease-19 (COVID-19) pandemic presents challenges to the conduct of randomized clinical trials of lifestyle interventions. METHODS World-Wide FINGERS is an international network of clinical trials to assess the impact of multidomain lifestyle intervention on cognitive decline in at-risk adults. Individual trials are tailoring successful approaches from the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) to local cultures and environments. The network convened a forum for researchers to discuss statistical design and analysis issues they faced during the pandemic. We report on experiences of three trials that, at various stages of conduct, altered designs and analysis plans to navigate these issues. We provide recommendations for future trials to consider as they develop and launch behavioral intervention trials. RESULTS The pandemic led researchers to change recruitment plans, interrupt timelines for assessments and intervention delivery, and move to remote intervention and assessment protocols. The necessity of these changes add emphasis to the importance, in study design and analysis, of intention to treat approaches, flexibility, within-site stratification, interim power projections, and sensitivity analyses. DISCUSSION Robust approaches to study design and analysis are critical to negotiate issues related to the intervention. The world-wide network of similarly oriented clinical trials will allow us to evaluate the effectiveness of responses to the pandemic across cultures, local environments, and phases of the pandemic.
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Affiliation(s)
- Susanne Röhr
- Institute of Social Medicine, Occupational Health and Public Health (ISAP)Medical FacultyUniversity of LeipzigLeipzigGermany
- Global Brain Health Institute (GBHI)Trinity College DublinDublinIreland
| | - Hidenori Arai
- National Center for Geriatrics and GerontologyObuJapan
| | - Francesca Mangialasche
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of Neurobiology Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Aging Research CenterCenter for Alzheimer ResearchDepartment of Neurobiology Care Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Nanae Matsumoto
- Center for Comprehensive Care and Research for Memory Disorders (NMTSTS)National Center for Geriatrics and GerontologyObuJapan
| | - Markku Peltonen
- Public Health Promotion UnitFinnish Institute for Health and WelfareHelsinkiFinland
| | - Rema Raman
- Alzheimer's Therapeutic Research InstituteUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Steffi G. Riedel‐Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP)Medical FacultyUniversity of LeipzigLeipzigGermany
| | - Takashi Sakurai
- Center for Comprehensive Care and Research for Memory Disorders (NMTSTS)National Center for Geriatrics and GerontologyObuJapan
| | - Heather M. Snyder
- Medical & Scientific RelationsAlzheimer's AssociationChicagoIllinoisUSA
| | - Taiki Sugimoto
- Center for Comprehensive Care and Research for Memory Disorders (NMTSTS)National Center for Geriatrics and GerontologyObuJapan
| | - Maria Carrillo
- Medical & Scientific RelationsAlzheimer's AssociationChicagoIllinoisUSA
| | - Miia Kivipelto
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of Neurobiology Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Public Health Promotion UnitFinnish Institute for Health and WelfareHelsinkiFinland
- Institute of Public Health and Clinical NutritionUniversity of Eastern FinlandKuopioFinland
- Theme AgingKarolinska University HospitalStockholmSweden
- The Ageing Epidemiology Research UnitSchool of Public HealthImperial College LondonLondonUK
| | - Mark A. Espeland
- Departments of Internal Medicine and Biostatistics and Data ScienceWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
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