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Soldan A, Wang J, Pettigrew C, Davatzikos C, Erus G, Hohman TJ, Dumitrescu L, Bilgel M, Resnick SM, Rivera-Rivera LA, Langhough R, Johnson SC, Benzinger T, Morris JC, Laws SM, Fripp J, Masters CL, Albert MS. Alzheimer's disease genetic risk and changes in brain atrophy and white matter hyperintensities in cognitively unimpaired adults. Brain Commun 2024; 6:fcae276. [PMID: 39229494 PMCID: PMC11369827 DOI: 10.1093/braincomms/fcae276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 06/25/2024] [Accepted: 08/12/2024] [Indexed: 09/05/2024] Open
Abstract
Reduced brain volumes and more prominent white matter hyperintensities on MRI scans are commonly observed among older adults without cognitive impairment. However, it remains unclear whether rates of change in these measures among cognitively normal adults differ as a function of genetic risk for late-onset Alzheimer's disease, including APOE-ɛ4, APOE-ɛ2 and Alzheimer's disease polygenic risk scores (AD-PRS), and whether these relationships are influenced by other variables. This longitudinal study examined the trajectories of regional brain volumes and white matter hyperintensities in relationship to APOE genotypes (N = 1541) and AD-PRS (N = 1093) in a harmonized dataset of middle-aged and older individuals with normal cognition at baseline (mean baseline age = 66 years, SD = 9.6) and an average of 5.3 years of MRI follow-up (max = 24 years). Atrophy on volumetric MRI scans was quantified in three ways: (i) a composite score of regions vulnerable to Alzheimer's disease (SPARE-AD); (ii) hippocampal volume; and (iii) a composite score of regions indexing advanced non-Alzheimer's disease-related brain aging (SPARE-BA). Global white matter hyperintensity volumes were derived from fluid attenuated inversion recovery (FLAIR) MRI. Using linear mixed effects models, there was an APOE-ɛ4 gene-dose effect on atrophy in the SPARE-AD composite and hippocampus, with greatest atrophy among ɛ4/ɛ4 carriers, followed by ɛ4 heterozygouts, and lowest among ɛ3 homozygouts and ɛ2/ɛ2 and ɛ2/ɛ3 carriers, who did not differ from one another. The negative associations of APOE-ɛ4 with atrophy were reduced among those with higher education (P < 0.04) and younger baseline ages (P < 0.03). Higher AD-PRS were also associated with greater atrophy in SPARE-AD (P = 0.035) and the hippocampus (P = 0.014), independent of APOE-ɛ4 status. APOE-ɛ2 status (ɛ2/ɛ2 and ɛ2/ɛ3 combined) was not related to baseline levels or atrophy in SPARE-AD, SPARE-BA or the hippocampus, but was related to greater increases in white matter hyperintensities (P = 0.014). Additionally, there was an APOE-ɛ4 × AD-PRS interaction in relation to white matter hyperintensities (P = 0.038), with greater increases in white matter hyperintensities among APOE-ɛ4 carriers with higher AD-PRS. APOE and AD-PRS associations with MRI measures did not differ by sex. These results suggest that APOE-ɛ4 and AD-PRS independently and additively influence longitudinal declines in brain volumes sensitive to Alzheimer's disease and synergistically increase white matter hyperintensity accumulation among cognitively normal individuals. Conversely, APOE-ɛ2 primarily influences white matter hyperintensity accumulation, not brain atrophy. Results are consistent with the view that genetic factors for Alzheimer's disease influence atrophy in a regionally specific manner, likely reflecting preclinical neurodegeneration, and that Alzheimer's disease risk genes contribute to white matter hyperintensity formation.
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Affiliation(s)
- Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jiangxia Wang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Christos Davatzikos
- Centre for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Guray Erus
- Centre for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Timothy J Hohman
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Logan Dumitrescu
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, Baltimore, MD 21224, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, Baltimore, MD 21224, USA
| | - Leonardo A Rivera-Rivera
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Rebecca Langhough
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Tammie Benzinger
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - John C Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Simon M Laws
- Centre for Precision Health, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Jurgen Fripp
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD 4029, Australia
| | - Colin L Masters
- The Florey Institute, University of Melbourne, Parkville, VIC 3052, Australia
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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2
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Panigrahy A, Schmithorst V, Ceschin R, Lee V, Beluk N, Wallace J, Wheaton O, Chenevert T, Qiu D, Lee JN, Nencka A, Gagoski B, Berman JI, Yuan W, Macgowan C, Coatsworth J, Fleysher L, Cannistraci C, Sleeper LA, Hoskoppal A, Silversides C, Radhakrishnan R, Markham L, Rhodes JF, Dugan LM, Brown N, Ermis P, Fuller S, Cotts TB, Rodriguez FH, Lindsay I, Beers S, Aizenstein H, Bellinger DC, Newburger JW, Umfleet LG, Cohen S, Zaidi A, Gurvitz M. Design and Harmonization Approach for the Multi-Institutional Neurocognitive Discovery Study (MINDS) of Adult Congenital Heart Disease (ACHD) Neuroimaging Ancillary Study: A Technical Note. J Cardiovasc Dev Dis 2023; 10:381. [PMID: 37754810 PMCID: PMC10532244 DOI: 10.3390/jcdd10090381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/28/2023] Open
Abstract
Dramatic advances in the management of congenital heart disease (CHD) have improved survival to adulthood from less than 10% in the 1960s to over 90% in the current era, such that adult CHD (ACHD) patients now outnumber their pediatric counterparts. ACHD patients demonstrate domain-specific neurocognitive deficits associated with reduced quality of life that include deficits in educational attainment and social interaction. Our hypothesis is that ACHD patients exhibit vascular brain injury and structural/physiological brain alterations that are predictive of specific neurocognitive deficits modified by behavioral and environmental enrichment proxies of cognitive reserve (e.g., level of education and lifestyle/social habits). This technical note describes an ancillary study to the National Heart, Lung, and Blood Institute (NHLBI)-funded Pediatric Heart Network (PHN) "Multi-Institutional Neurocognitive Discovery Study (MINDS) in Adult Congenital Heart Disease (ACHD)". Leveraging clinical, neuropsychological, and biospecimen data from the parent study, our study will provide structural-physiological correlates of neurocognitive outcomes, representing the first multi-center neuroimaging initiative to be performed in ACHD patients. Limitations of the study include recruitment challenges inherent to an ancillary study, implantable cardiac devices, and harmonization of neuroimaging biomarkers. Results from this research will help shape the care of ACHD patients and further our understanding of the interplay between brain injury and cognitive reserve.
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Affiliation(s)
- Ashok Panigrahy
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, 45th Str., Penn Ave., Pittsburgh, PA 15201, USA
| | - Vanessa Schmithorst
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Rafael Ceschin
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Vince Lee
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Nancy Beluk
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Julia Wallace
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Olivia Wheaton
- HealthCore Inc., 480 Pleasant Str., Watertown, MA 02472, USA;
| | - Thomas Chenevert
- Department of Radiology, Michigan Medicine University of Michigan, 1500 E Medical Center Dr., Ann Arbor, MI 48109, USA;
- Congenital Heart Center, C. S. Mott Children’s Hospital, 1540 E Hospital Dr., Ann Arbor, MI 48109, USA
| | - Deqiang Qiu
- Department of Radiology and Imaging Sciences, Emory School of Medicine, 1364 Clifton Rd., Atlanta, GA 30322, USA;
| | - James N Lee
- Department of Radiology, The University of Utah, 50 2030 E, Salt Lake City, UT 84112, USA;
| | - Andrew Nencka
- Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave., Milwaukee, WI 53226, USA;
| | - Borjan Gagoski
- Department of Radiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA;
| | - Jeffrey I. Berman
- Department of Radiology, Children’s Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA 19104, USA;
| | - Weihong Yuan
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA;
- Department of Radiology, University of Cincinnati College of Medicine, 3230 Eden Ave., Cincinnati, OH 45267, USA
| | - Christopher Macgowan
- Department of Medical Biophysics, University of Toronto, 101 College Str. Suite 15-701, Toronto, ON M5G 1L7, Canada;
- The Hospital for Sick Children Division of Translational Medicine, 555 University Ave., Toronto, ON M5G 1X8, Canada
| | - James Coatsworth
- Department of Radiology, Medical University of South Carolina, 171 Ashley Ave., Room 372, Charleston, SC 29425, USA;
| | - Lazar Fleysher
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave., New York, NY 10029, USA; (L.F.); (C.C.); (A.Z.)
| | - Christopher Cannistraci
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave., New York, NY 10029, USA; (L.F.); (C.C.); (A.Z.)
| | - Lynn A. Sleeper
- Department of Cardiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA; (L.A.S.); (J.W.N.); (M.G.)
| | - Arvind Hoskoppal
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Candice Silversides
- Department of Cardiology, University of Toronto, C. David Naylor Building, 6 Queen’s Park Crescent West, Third Floor, Toronto, ON M5S 3H2, Canada;
| | - Rupa Radhakrishnan
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 University Blvd., Indianapolis, IN 46202, USA;
| | - Larry Markham
- Department of Cardiology, University of Indiana School of Medicine, 545 Barnhill Dr., Indianapolis, IN 46202, USA;
| | - John F. Rhodes
- Department of Cardiology, Medical University of South Carolina, 96 Jonathan Lucas Str. Ste. 601, MSC 617, Charleston, SC 29425, USA;
| | - Lauryn M. Dugan
- Department of Cardiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA; (L.M.D.); (N.B.)
| | - Nicole Brown
- Department of Cardiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA; (L.M.D.); (N.B.)
| | - Peter Ermis
- Department of Radiology, Texas Children’s Hospital, Houston, TX 77030, USA; (P.E.); (S.F.)
| | - Stephanie Fuller
- Department of Radiology, Texas Children’s Hospital, Houston, TX 77030, USA; (P.E.); (S.F.)
| | - Timothy Brett Cotts
- Departments of Internal Medicine and Pediatrics, Michigan Medicine University of Michigan, 1500 E Medical Center Dr., Ann Arbor, MI 48109, USA;
| | - Fred Henry Rodriguez
- Department of Cardiology, Emory School of Medicine, 100 Woodruff Circle, Atlanta, GA 30322, USA;
| | - Ian Lindsay
- Department of Cardiology, The University of Utah, 95 S 2000 E, Salt Lake City, UT 84112, USA;
| | - Sue Beers
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O’Hara Str., Pittsburgh, PA 15213, USA; (S.B.); (H.A.)
| | - Howard Aizenstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O’Hara Str., Pittsburgh, PA 15213, USA; (S.B.); (H.A.)
| | - David C. Bellinger
- Cardiac Neurodevelopmental Program, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA;
| | - Jane W. Newburger
- Department of Cardiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA; (L.A.S.); (J.W.N.); (M.G.)
| | - Laura Glass Umfleet
- Department of Neuropsychology, Medical College of Wisconsin, 9200 W Wisconsin Ave., Milwaukee, WI 53226, USA;
| | - Scott Cohen
- Heart and Vascular Center, Medical College of Wisconsin, 8701 Watertown Plank Rd., Milwaukee, WI 53226, USA;
| | - Ali Zaidi
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave., New York, NY 10029, USA; (L.F.); (C.C.); (A.Z.)
| | - Michelle Gurvitz
- Department of Cardiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA; (L.A.S.); (J.W.N.); (M.G.)
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3
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Zheng W, Liu H, Li Z, Li K, Wang Y, Hu B, Dong Q, Wang Z. Classification of Alzheimer's disease based on hippocampal multivariate morphometry statistics. CNS Neurosci Ther 2023; 29:2457-2468. [PMID: 37002795 PMCID: PMC10401169 DOI: 10.1111/cns.14189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/07/2023] [Accepted: 03/13/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive cognitive decline, and mild cognitive impairment (MCI) is associated with a high risk of developing AD. Hippocampal morphometry analysis is believed to be the most robust magnetic resonance imaging (MRI) markers for AD and MCI. Multivariate morphometry statistics (MMS), a quantitative method of surface deformations analysis, is confirmed to have strong statistical power for evaluating hippocampus. AIMS We aimed to test whether surface deformation features in hippocampus can be employed for early classification of AD, MCI, and healthy controls (HC). METHODS We first explored the differences in hippocampus surface deformation among these three groups by using MMS analysis. Additionally, the hippocampal MMS features of selective patches and support vector machine (SVM) were used for the binary classification and triple classification. RESULTS By the results, we identified significant hippocampal deformation among the three groups, especially in hippocampal CA1. In addition, the binary classification of AD/HC, MCI/HC, AD/MCI showed good performances, and area under curve (AUC) of triple-classification model achieved 0.85. Finally, positive correlations were found between the hippocampus MMS features and cognitive performances. CONCLUSIONS The study revealed significant hippocampal deformation among AD, MCI, and HC. Additionally, we confirmed that hippocampal MMS can be used as a sensitive imaging biomarker for the early diagnosis of AD at the individual level.
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Affiliation(s)
- Weimin Zheng
- Department of Radiology, Aerospace Center Hospital, Beijing, China
| | - Honghong Liu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Zhigang Li
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Kuncheng Li
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, Arizona, USA
| | - Bin Hu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Qunxi Dong
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Zhiqun Wang
- Department of Radiology, Aerospace Center Hospital, Beijing, China
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4
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Harrison JR, Foley SF, Baker E, Bracher-Smith M, Holmans P, Stergiakouli E, Linden DEJ, Caseras X, Jones DK, Escott-Price V. Pathway-specific polygenic scores for Alzheimer's disease are associated with changes in brain structure in younger and older adults. Brain Commun 2023; 5:fcad229. [PMID: 37744023 PMCID: PMC10517196 DOI: 10.1093/braincomms/fcad229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 05/17/2023] [Accepted: 08/23/2023] [Indexed: 09/26/2023] Open
Abstract
Genome-wide association studies have identified multiple Alzheimer's disease risk loci with small effect sizes. Polygenic risk scores, which aggregate these variants, are associated with grey matter structural changes. However, genome-wide scores do not allow mechanistic interpretations. The present study explored associations between disease pathway-specific scores and grey matter structure in younger and older adults. Data from two separate population cohorts were used as follows: the Avon Longitudinal Study of Parents and Children, mean age 19.8, and UK Biobank, mean age 64.4 (combined n = 18 689). Alzheimer's polygenic risk scores were computed using the largest genome-wide association study of clinically assessed Alzheimer's to date. Relationships between subcortical volumes and cortical thickness, pathway-specific scores and genome-wide scores were examined. Increased pathway-specific scores were associated with reduced cortical thickness in both the younger and older cohorts. For example, the reverse cholesterol transport pathway score showed evidence of association with lower left middle temporal cortex thickness in the younger Avon participants (P = 0.034; beta = -0.013, CI -0.025, -0.001) and in the older UK Biobank participants (P = 0.019; beta = -0.003, CI -0.005, -4.56 × 10-4). Pathway scores were associated with smaller subcortical volumes, such as smaller hippocampal volume, in UK Biobank older adults. There was also evidence of positive association between subcortical volumes in Avon younger adults. For example, the tau protein-binding pathway score was negatively associated with left hippocampal volume in UK Biobank (P = 8.35 × 10-05; beta = -11.392, CI -17.066, -5.718) and positively associated with hippocampal volume in the Avon study (P = 0.040; beta = 51.952, CI 2.445, 101.460). The immune response score had a distinct pattern of association, being only associated with reduced thickness in the right posterior cingulate in older and younger adults (P = 0.011; beta = -0.003, CI -0.005, -0.001 in UK Biobank; P = 0.034; beta = -0.016, CI -0.031, -0.001 in the Avon study). The immune response score was associated with smaller subcortical volumes in the older adults, but not younger adults. The disease pathway scores showed greater evidence of association with imaging phenotypes than the genome-wide score. This suggests that pathway-specific polygenic methods may allow progress towards a mechanistic understanding of structural changes linked to polygenic risk in pre-clinical Alzheimer's disease. Pathway-specific profiling could further define pathophysiology in individuals, moving towards precision medicine in Alzheimer's disease.
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Affiliation(s)
- Judith R Harrison
- Institute of Neuroscience, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK
| | - Sonya F Foley
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK
| | - Emily Baker
- Dementia Research Institute & MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Matthew Bracher-Smith
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Peter Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Evie Stergiakouli
- Bristol Population Health Science Institute, Bristol University, Oakfield House, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK
- Mary MacKillop Institute for Health Research, Australian Catholic University, 5/215 Spring St, Melbourne, VIC 3000, Australia
| | - Valentina Escott-Price
- Dementia Research Institute & MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
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5
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Sauty B, Durrleman S. Impact of sex and APOE- ε4 genotype on patterns of regional brain atrophy in Alzheimer's disease and healthy aging. Front Neurol 2023; 14:1161527. [PMID: 37333001 PMCID: PMC10272760 DOI: 10.3389/fneur.2023.1161527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/19/2023] [Indexed: 06/20/2023] Open
Abstract
Alzheimer's Disease (AD) is a heterogeneous disease that disproportionately affects women and people with the APOE-ε4 susceptibility gene. We aim to describe the not-well-understood influence of both risk factors on the dynamics of brain atrophy in AD and healthy aging. Regional cortical thinning and brain atrophy were modeled over time using non-linear mixed-effect models and the FreeSurfer software with t1-MRI scans from the Alzheimer's Disease Neuroimaging Initiative (N = 1,502 subjects, 6,728 images in total). Covariance analysis was used to disentangle the effect of sex and APOE genotype on the regional onset age and pace of atrophy, while correcting for educational level. A map of the regions mostly affected by neurodegeneration is provided. Results were confirmed on gray matter density data from the SPM software. Women experience faster atrophic rates in the temporal, frontal, parietal lobes and limbic system and earlier onset in the amygdalas, but slightly later onset in the postcentral and cingulate gyri as well as all regions of the basal ganglia and thalamus. APOE-ε4 genotypes leads to earlier and faster atrophy in the temporal, frontal, parietal lobes, and limbic system in AD patients, but not in healthy patients. Higher education was found to slightly delay atrophy in healthy patients, but not for AD patients. A cohort of amyloid positive patients with MCI showed a similar impact of sex as in the healthy cohort, while APOE-ε4 showed similar associations as in the AD cohort. Female sex is as strong a risk factor for AD as APOE-ε4 genotype regarding neurodegeneration. Women experience a sharper atrophy in the later stages of the disease, although not a significantly earlier onset. These findings may have important implications for the development of targeted intervention.
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6
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Forno G, Contador J, Pérez-Millan A, Guillen N, Falgàs N, Sarto J, Tort-Merino A, Castellví M, Bosch B, Fernández-Villullas G, Balasa M, Antonell A, Sala-Llonch R, Sanchez-Valle R, Hornberger M, Lladó A. The APOE4 effect: structural brain differences in Alzheimer's disease according to the age at symptom onset. Eur J Neurol 2023; 30:597-605. [PMID: 36463489 PMCID: PMC10108138 DOI: 10.1111/ene.15657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/17/2022] [Accepted: 12/01/2022] [Indexed: 12/07/2022]
Abstract
BACKGROUND AND PURPOSE How the APOE genotype can differentially affect cortical and subcortical memory structures in biomarker-confirmed early-onset (EOAD) and late-onset (LOAD) Alzheimer's disease (AD) was assessed. METHOD Eighty-seven cerebrospinal fluid (CSF) biomarker-confirmed AD patients were classified according to their APOE genotype and age at onset. 28 were EOAD APOE4 carriers (+EOAD), 21 EOAD APOE4 non-carriers (-EOAD), 23 LOAD APOE4 carriers (+LOAD) and 15 LOAD APOE4 non-carriers (-LOAD). Grey matter (GM) volume differences were analyzed using voxel-based morphometry in Papez circuit regions. Multiple regression analyses were performed to determine the relation between GM volume loss and cognition. RESULTS Significantly more mammillary body atrophy in +EOAD compared to -EOAD is reported. The medial temporal and posterior cingulate cortex showed less GM in +LOAD compared to -LOAD. Medial temporal GM volume loss was also found in +EOAD compared to -LOAD. With an exception for +EOAD, medial temporal GM was strongly associated with episodic memory in the three groups, whilst posterior cingulate cortex GM volume was more related with visuospatial abilities. Visuospatial abilities and episodic memory were also associated with the anterior thalamic nucleus in -LOAD. CONCLUSIONS Our results show that the APOE genotype has a significant effect on GM integrity as a function of age of disease onset. Specifically, whilst LOAD APOE4 genotype is mostly associated with increased medial temporal and parietal atrophy compared to -LOAD, for EOAD APOE4 might have a more specific effect on subcortical (mammillary body) structures. The findings suggest that APOE genotype needs to be taken into account when classifying patients by age at onset.
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Affiliation(s)
- Gonzalo Forno
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- School of Psychology, Universidad de los Andes, Santiago, Chile
| | - Jose Contador
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Agnès Pérez-Millan
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Institute of Neurosciences. Department of Biomedicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Nuria Guillen
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Neus Falgàs
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Atlantic Fellow for Equity in Brain Health, Global Brain Heath Institute, University of California, San Francisco, California, USA
| | - Jordi Sarto
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Adrià Tort-Merino
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Magdalena Castellví
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Guadalupe Fernández-Villullas
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Mircea Balasa
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Atlantic Fellow for Equity in Brain Health, Global Brain Heath Institute, University of California, San Francisco, California, USA
- Atlantic Fellow for Equity in Brain Health, Global Brain Heath Institute, Trinity College Dublin, Dublin, Irland
| | - Anna Antonell
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Roser Sala-Llonch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Institute of Neurosciences. Department of Biomedicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Biomedical Imaging Group, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | | | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
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Grasset L, Power MC, Crivello F, Tzourio C, Chêne G, Dufouil C. How Traumatic Brain Injury History Relates to Brain Health MRI Markers and Dementia Risk: Findings from the 3C Dijon Cohort. J Alzheimers Dis 2023; 92:183-193. [PMID: 36710672 PMCID: PMC10041415 DOI: 10.3233/jad-220658] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND The long-term effects of traumatic brain injury (TBI) with loss of consciousness (LOC) on magnetic resonance imaging (MRI) markers of brain health and on dementia risk are still debated. OBJECTIVE To investigate the associations of history of TBI with LOC with incident dementia and neuroimaging markers of brain structure and small vessel disease lesions. METHODS The analytical sample consisted in 4,144 participants aged 65 and older who were dementia-free at baseline from the Three City -Dijon study. History of TBI with LOC was self-reported at baseline. Clinical Dementia was assessed every two to three years, up to 12 years of follow-up. A subsample of 1,675 participants <80 years old underwent a brain MRI at baseline. We investigated the associations between history of TBI with LOC and 1) incident all cause and Alzheimer's disease (AD) dementia using illness-death models, and 2) neuroimaging markers at baseline. RESULTS At baseline, 8.3% of the participants reported a history of TBI with LOC. In fully-adjusted models, participants with a history of TBI with LOC had no statistically significant differences in dementia risk (HR = 0.90, 95% CI = 0.60-1.36) or AD risk (HR = 1.03, 95% CI = 0.69-1.52), compared to participants without TBI history. History of TBI with LOC was associated with lower white matter volume (β= -4.58, p = 0.048), but not with other brain volumes, white matter hyperintensities volume, nor covert brain infarct. CONCLUSION This study did not find evidence of an association between history of TBI with LOC and dementia or AD dementia risks over 12-year follow-up, brain atrophy, or markers of small vessel disease.
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Affiliation(s)
- Leslie Grasset
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219; CIC1401-EC, Bordeaux, France
| | - Melinda C Power
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | | | - Christophe Tzourio
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219; Bordeaux, France
| | - Geneviève Chêne
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219; CIC1401-EC, Bordeaux, France.,Pole de sante publique Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
| | - Carole Dufouil
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219; CIC1401-EC, Bordeaux, France.,Pole de sante publique Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
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Satizabal CL, Himali JJ, Beiser AS, Ramachandran V, Melo van Lent D, Himali D, Aparicio HJ, Maillard P, DeCarli CS, Harris WS, Seshadri S. Association of Red Blood Cell Omega-3 Fatty Acids With MRI Markers and Cognitive Function in Midlife: The Framingham Heart Study. Neurology 2022; 99:e2572-e2582. [PMID: 36198518 PMCID: PMC9754651 DOI: 10.1212/wnl.0000000000201296] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 08/10/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Diet may be a key contributor to brain health in midlife. In particular, omega-3 fatty acids have been related to better neurologic outcomes in older adults. However, studies focusing on midlife are lacking. We investigated the cross-sectional association of red blood cell (RBC) omega-3 fatty acid concentrations with MRI and cognitive markers of brain aging in a community-based sample of predominantly middle-aged adults and further explore effect modification by APOE genotype. METHODS We included participants from the Third-Generation and Omni 2 cohorts of the Framingham Heart Study attending their second examination. Docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) concentrations were measured from RBC using gas chromatography, and the Omega-3 index was calculated as EPA + DHA. We used linear regression models to relate omega-3 fatty acid concentrations to brain MRI measures (i.e., total brain, total gray matter, hippocampal, and white matter hyperintensity volumes) and cognitive function (i.e., episodic memory, processing speed, executive function, and abstract reasoning) adjusting for potential confounders. We further tested for interactions between omega-3 fatty acid levels and APOE genotype (e4 carrier vs noncarrier) on MRI and cognitive outcomes. RESULTS We included 2,183 dementia-free and stroke-free participants (mean age of 46 years, 53% women, 22% APOE-e4 carriers). In multivariable models, higher Omega-3 index was associated with larger hippocampal volumes (standard deviation unit beta ±standard error; 0.003 ± 0.001, p = 0.013) and better abstract reasoning (0.17 ± 0.07, p = 0.013). Similar results were obtained for DHA or EPA concentrations individually. Stratification by APOE-e4 status showed associations between higher DHA concentrations or Omega-3 index and larger hippocampal volumes in APOE-e4 noncarriers, whereas higher EPA concentrations were related to better abstract reasoning in APOE-e4 carriers. Finally, higher levels of all omega-3 predictors were related to lower white matter hyperintensity burden but only in APOE-e4 carriers. DISCUSSION Our results, albeit exploratory, suggest that higher omega-3 fatty acid concentrations are related to better brain structure and cognitive function in a predominantly middle-aged cohort free of clinical dementia. These associations differed by APOE genotype, suggesting potentially different metabolic patterns by APOE status. Additional studies in middle-aged populations are warranted to confirm these findings.
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Affiliation(s)
- Claudia L Satizabal
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD.
| | - Jayandra Jung Himali
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
| | - Alexa S Beiser
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
| | - Vasan Ramachandran
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
| | - Debora Melo van Lent
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
| | - Dibya Himali
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
| | - Hugo J Aparicio
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
| | - Pauline Maillard
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
| | - Charles S DeCarli
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
| | - William S Harris
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
| | - Sudha Seshadri
- From the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.L.S., J.J.H., D.M.L., S.S.), UT Health San Antonio, San Antonio, TX; Department of Population Health Sciences (C.L.S., J.J.H.), UT Health San Antonio, San Antonio, TX; Department of Neurology (C.L.S., J.J.H., A.S.B., D.M.L., H.J.A., S.S.), Boston University School of Medicine, Boston, MA; The Framingham Heart Study (C.L.S., J.J.H., A.S.B., V.R., D.M.L., D.H., H.J.A., S.S.), Framingham, MA; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health, Boston, MA; Department of Medicine (V.R.), Boston University School of Medicine, Boston, MA; Department of Epidemiology (V.R.), Boston University School of Public Health, Boston, MA; Center for Computing and Data Sciences (V.R.), Boston University, Boston, MA; Imaging of Dementia and Aging Laboratory and Center for Neurosciences (P.M., C.S.D.), Davis, CA; Department of Neurology (C.S.D.), UC Davis School of Medicine, Sacramento, CA; Sanford School of Medicine (W.S.H.), University of South Dakota, Sioux Falls, SD; and Fatty Acid Research Institute (W.S.H.), Sioux Falls, SD
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Li S, An N, Chen N, Wang Y, Yang L, Wang Y, Yao Z, Hu B. The impact of Alzheimer's disease susceptibility loci on lateral ventricular surface morphology in older adults. Brain Struct Funct 2022; 227:913-924. [PMID: 35028746 DOI: 10.1007/s00429-021-02429-y] [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: 01/22/2021] [Accepted: 11/13/2021] [Indexed: 11/25/2022]
Abstract
The enlargement of ventricular volume is a general trend in the elderly, especially in patients with Alzheimer's disease (AD). Multiple susceptibility loci have been reported to have an increased risk for AD and the morphology of brain structures are affected by the variations in the risk loci. Therefore, we hypothesized that genes contributed significantly to the ventricular surface, and the changes of ventricular surface were associated with the impairment of cognitive functions. After the quality controls (QC) and genotyping, a lateral ventricular segmentation method was employed to obtain the surface features of lateral ventricle. We evaluated the influence of 18 selected AD susceptibility loci on both volume and surface morphology across 410 subjects from Alzheimer's Disease Neuroimaging Initiative (ADNI). Correlations were conducted between radial distance (RD) and Montreal Cognitive Assessment (MoCA) subscales. Only the C allele at the rs744373 loci in BIN1 gene significantly accelerated the atrophy of lateral ventricle, including the anterior horn, body, and temporal horn of left lateral ventricle. No significant effect on lateral ventricle was found at other loci. Our results revealed that most regions of the bilateral ventricular surface were significantly negatively correlated with cognitive scores, particularly in delayed recall. Besides, small areas of surface were negatively correlated with language, orientation, and visuospatial scores. Together, our results indicated that the genetic variation affected the localized areas of lateral ventricular surface, and supported that lateral ventricle was an important brain structure associated with cognition in the elderly.
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Affiliation(s)
- Shan Li
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Na An
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Nan Chen
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Yin Wang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Lin Yang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Zhijun Yao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China.
| | - Bin Hu
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, ShangHai, China.
- Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University and Institute of Semiconductors, Chinese Academy of Sciences, LanZhou, China.
- Engineering Research Center of Open Source Software and Real-Time System, Ministry of Education, Lanzhou University, Lanzhou, China.
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Wang G, Zhou W, Kong D, Qu Z, Ba M, Hao J, Yao T, Dong Q, Su Y, Reiman EM, Caselli RJ, Chen K, Wang Y. Studying APOE ɛ4 Allele Dose Effects with a Univariate Morphometry Biomarker. J Alzheimers Dis 2022; 85:1233-1250. [PMID: 34924383 PMCID: PMC10498787 DOI: 10.3233/jad-215149] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND A univariate neurodegeneration biomarker (UNB) based on MRI with strong statistical discrimination power would be highly desirable for studying hippocampal surface morphological changes associated with APOE ɛ4 genetic risk for AD in the cognitively unimpaired (CU) population. However, existing UNB work either fails to model large group variances or does not capture AD induced changes. OBJECTIVE We proposed a subspace decomposition method capable of exploiting a UNB to represent the hippocampal morphological changes related to the APOE ɛ4 dose effects among the longitudinal APOE ɛ4 homozygotes (HM, N = 30), heterozygotes (HT, N = 49) and non-carriers (NC, N = 61). METHODS Rank minimization mechanism combined with sparse constraint considering the local continuity of the hippocampal atrophy regions is used to extract group common structures. Based on the group common structures of amyloid-β (Aβ) positive AD patients and Aβ negative CU subjects, we identified the regions-of-interest (ROI), which reflect significant morphometry changes caused by the AD development. Then univariate morphometry index (UMI) is constructed from these ROIs. RESULTS The proposed UMI demonstrates a more substantial statistical discrimination power to distinguish the longitudinal groups with different APOE ɛ4 genotypes than the hippocampal volume measurements. And different APOE ɛ4 allele load affects the shrinkage rate of the hippocampus, i.e., HM genotype will cause the largest atrophy rate, followed by HT, and the smallest is NC. CONCLUSION The UMIs may capture the APOE ɛ4 risk allele-induced brain morphometry abnormalities and reveal the dose effects of APOE ɛ4 on the hippocampal morphology in cognitively normal individuals.
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Affiliation(s)
- Gang Wang
- School of Ulsan Ship and Ocean College, Ludong University, Yantai, China
| | - Wenju Zhou
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
| | - Deping Kong
- School of Information and Electrical Engineering, Ludong University, Yantai, China
| | - Zongshuai Qu
- School of Information and Electrical Engineering, Ludong University, Yantai, China
| | - Maowen Ba
- Department of Neurology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Jinguang Hao
- School of Information and Electrical Engineering, Ludong University, Yantai, China
| | - Tao Yao
- School of Information and Electrical Engineering, Ludong University, Yantai, China
| | - Qunxi Dong
- Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, China
- School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA
| | - Yi Su
- Banner Alzheimer’s Institute, 100 Washtenaw Avenue, Phoenix, AZ, USA
| | - Eric M Reiman
- Banner Alzheimer’s Institute, 100 Washtenaw Avenue, Phoenix, AZ, USA
| | | | - Kewei Chen
- Banner Alzheimer’s Institute, 100 Washtenaw Avenue, Phoenix, AZ, USA
| | - Yalin Wang
- School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA
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11
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Thomas A, Crivello F, Mazoyer B, Debette S, Tzourio C, Samieri C. Fish Intake and MRI Burden of Cerebrovascular Disease in Older Adults. Neurology 2021; 97:e2213-e2222. [PMID: 34732545 DOI: 10.1212/wnl.0000000000012916] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 09/15/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Fish intake may prevent cerebrovascular disease (CVD), yet the mechanisms are unclear, especially regarding its impact on subclinical damage. Assuming that fish may have pleiotropic effect on cerebrovascular health, we investigated the association of fish intake with global CVD burden based on brain MRI markers. METHODS This cross-sectional analysis included participants from the Three-City Dijon population-based cohort (age ≥65 years) without dementia, stroke, or history of hospitalized cardiovascular disease who underwent brain MRI with automated assessment of white matter hyperintensities, visual detection of covert infarcts, and grading of dilated perivascular spaces. Fish intake was assessed through a frequency questionnaire, and the primary outcome measure was defined as the first component of a factor analysis of mixed data applied to MRI markers. The association of fish intake with the CVD burden indicator was studied with linear regressions. RESULTS In total, 1,623 participants (mean age 72.3 years, 63% women) were included. The first component of factor analysis (32.4% of explained variance) was associated with higher levels of all 3 MRI markers. Higher fish intake was associated with lower CVD burden. In a model adjusted for total intracranial volume, compared to participants consuming fish <1 time per week, those consuming fish 2 to 3 and ≥4 times per week had a β = -0.19 (95% confidence interval -0.37 to -0.01) and β = -0.30 (-0.57 to -0.03) lower indicator of CVD burden, respectively (p trend < 0.001). We found evidence of effect modification by age such that the association of fish to CVD was stronger in younger participants (65-69 years) and not significant in participants ≥75 years of age. For comparison, in the younger age group, consuming fish 2 to 3 times a week was roughly equivalent (in the opposite direction) to the effect of hypertension. DISCUSSION In this large population-based study, higher frequency of fish intake was associated with lower CVD burden, especially among participants <75 years of age, suggesting a beneficial effect on brain vascular health before manifestation of overt brain disease. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that in individuals without stroke or dementia, higher fish intake is associated with lower subclinical CVD on MRI.
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Affiliation(s)
- Aline Thomas
- From the University of Bordeaux (A.T., S.D., C.T., C.S.), INSERM, BPH, U1219; and University of Bordeaux (F.C., B.M.), CNRS, CEA, Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, France.
| | - Fabrice Crivello
- From the University of Bordeaux (A.T., S.D., C.T., C.S.), INSERM, BPH, U1219; and University of Bordeaux (F.C., B.M.), CNRS, CEA, Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, France
| | - Bernard Mazoyer
- From the University of Bordeaux (A.T., S.D., C.T., C.S.), INSERM, BPH, U1219; and University of Bordeaux (F.C., B.M.), CNRS, CEA, Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, France
| | - Stephanie Debette
- From the University of Bordeaux (A.T., S.D., C.T., C.S.), INSERM, BPH, U1219; and University of Bordeaux (F.C., B.M.), CNRS, CEA, Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, France
| | - Christophe Tzourio
- From the University of Bordeaux (A.T., S.D., C.T., C.S.), INSERM, BPH, U1219; and University of Bordeaux (F.C., B.M.), CNRS, CEA, Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, France
| | - Cecilia Samieri
- From the University of Bordeaux (A.T., S.D., C.T., C.S.), INSERM, BPH, U1219; and University of Bordeaux (F.C., B.M.), CNRS, CEA, Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, France
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12
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Forno G, Lladó A, Hornberger M. Going round in circles-The Papez circuit in Alzheimer's disease. Eur J Neurosci 2021; 54:7668-7687. [PMID: 34656073 DOI: 10.1111/ejn.15494] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 10/01/2021] [Accepted: 10/12/2021] [Indexed: 11/29/2022]
Abstract
The hippocampus is regarded as the pivotal structure for episodic memory symptoms associated with Alzheimer's disease (AD) pathophysiology. However, what is often overlooked is that the hippocampus is 'only' one part of a network of memory critical regions, the Papez circuit. Other Papez circuit regions are often regarded as less relevant for AD as they are thought to sit 'downstream' of the hippocampus. However, this notion is oversimplistic, and increasing evidence suggests that other Papez regions might be affected before or concurrently with the hippocampus. In addition, AD research has mostly focused on episodic memory deficits, whereas spatial navigation processes are also subserved by the Papez circuit with increasing evidence supporting its valuable potential as a diagnostic measure of incipient AD pathophysiology. In the current review, we take a step forward analysing recent evidence on the structural and functional integrity of the Papez circuit across AD disease stages. Specifically, we will review the integrity of specific Papez regions from at-genetic-risk (APOE4 carriers), to mild cognitive impairment (MCI), to dementia stage of sporadic AD and autosomal dominant AD (ADAD). We related those changes to episodic memory and spatial navigation/orientation deficits in AD. Finally, we provide an overview of how the Papez circuit is affected in AD diseases and their specific symptomology contributions. This overview strengthened the need for moving away from a hippocampal-centric view to a network approach on how the whole Papez circuit is affected in AD and contributes to its symptomology, informing future research and clinical approaches.
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Affiliation(s)
- Gonzalo Forno
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,School of Psychology, Universidad de los Andes, Santiago, Chile.,Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department, ICBM, Neurosciences Department, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
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13
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An N, Fu Y, Shi J, Guo HN, Yang ZW, Li YC, Li S, Wang Y, Yao ZJ, Hu B. Synergistic Effects of APOE and CLU May Increase the Risk of Alzheimer's Disease: Acceleration of Atrophy in the Volumes and Shapes of the Hippocampus and Amygdala. J Alzheimers Dis 2021; 80:1311-1327. [PMID: 33682707 DOI: 10.3233/jad-201162] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The volume loss of the hippocampus and amygdala in non-demented individuals has been reported to increase the risk of developing Alzheimer's disease (AD). Many neuroimaging genetics studies mainly focused on the individual effects of APOE and CLU on neuroimaging to understand their neural mechanisms, whereas their synergistic effects have been rarely studied. OBJECTIVE To assess whether APOE and CLU have synergetic effects, we investigated the epistatic interaction and combined effects of the two genetic variants on morphological degeneration of hippocampus and amygdala in the non-demented elderly at baseline and 2-year follow-up. METHODS Besides the widely-used volume indicator, the surface-based morphometry method was also adopted in this study to evaluate shape alterations. RESULTS Our results showed a synergistic effect of homozygosity for the CLU risk allele C in rs11136000 and APOEɛ4 on the hippocampal and amygdalar volumes during a 2-year follow-up. Moreover, the combined effects of APOEɛ4 and CLU C were stronger than either of the individual effects in the atrophy progress of the amygdala. CONCLUSION These findings indicate that brain morphological changes are caused by more than one gene variant, which may help us to better understand the complex endogenous mechanism of AD.
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Affiliation(s)
- Na An
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China
| | - Yu Fu
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China
| | - Jie Shi
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China
| | - Han-Ning Guo
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China
| | - Zheng-Wu Yang
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China
| | - Yong-Chao Li
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China
| | - Shan Li
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China
| | - Yin Wang
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China
| | - Zhi-Jun Yao
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China
| | - Bin Hu
- School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China.,Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
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14
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Wu J, Dong Q, Gui J, Zhang J, Su Y, Chen K, Thompson PM, Caselli RJ, Reiman EM, Ye J, Wang Y. Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases. Front Neurosci 2021; 15:669595. [PMID: 34421510 PMCID: PMC8377280 DOI: 10.3389/fnins.2021.669595] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 07/15/2021] [Indexed: 01/04/2023] Open
Abstract
Biomarker assisted preclinical/early detection and intervention in Alzheimer’s disease (AD) may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is the accumulation of beta-amyloid (Aβ) plaques in the human brain. However, current methods to detect Aβ pathology are either invasive (lumbar puncture) or quite costly and not widely available (amyloid PET). Our prior studies show that magnetic resonance imaging (MRI)-based hippocampal multivariate morphometry statistics (MMS) are an effective neurodegenerative biomarker for preclinical AD. Here we attempt to use MRI-MMS to make inferences regarding brain Aβ burden at the individual subject level. As MMS data has a larger dimension than the sample size, we propose a sparse coding algorithm, Patch Analysis-based Surface Correntropy-induced Sparse-coding and Max-Pooling (PASCS-MP), to generate a low-dimensional representation of hippocampal morphometry for each individual subject. Then we apply these individual representations and a binary random forest classifier to predict brain Aβ positivity for each person. We test our method in two independent cohorts, 841 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and 260 subjects from the Open Access Series of Imaging Studies (OASIS). Experimental results suggest that our proposed PASCS-MP method and MMS can discriminate Aβ positivity in people with mild cognitive impairment (MCI) [Accuracy (ACC) = 0.89 (ADNI)] and in cognitively unimpaired (CU) individuals [ACC = 0.79 (ADNI) and ACC = 0.81 (OASIS)]. These results compare favorably relative to measures derived from traditional algorithms, including hippocampal volume and surface area, shape measures based on spherical harmonics (SPHARM) and our prior Patch Analysis-based Surface Sparse-coding and Max-Pooling (PASS-MP) methods.
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Affiliation(s)
- Jianfeng Wu
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, United States
| | - Qunxi Dong
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, United States.,Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, China
| | - Jie Gui
- School of Cyber Science and Engineering, Southeast University, Nanjing, China
| | - Jie Zhang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, United States
| | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ, United States
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, United States
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, United States
| | - Richard J Caselli
- Department of Neurology, Mayo Clinic Arizona, Scottsdale, AZ, United States
| | - Eric M Reiman
- Banner Alzheimer's Institute, Phoenix, AZ, United States
| | - Jieping Ye
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States
| | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, United States
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15
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Dong Q, Zhang W, Stonnington CM, Wu J, Gutman BA, Chen K, Su Y, Baxter LC, Thompson PM, Reiman EM, Caselli RJ, Wang Y. Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline. NEUROIMAGE-CLINICAL 2020; 27:102338. [PMID: 32683323 PMCID: PMC7371915 DOI: 10.1016/j.nicl.2020.102338] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/15/2020] [Accepted: 07/02/2020] [Indexed: 12/31/2022]
Abstract
A completely automated surface-based ventricular morphometry system. Generate a whole connected 3D ventricular shape model. Test-retest the system in two independent CU subject cohorts. Subregional ventricular abnormalities prior to clinically memory decline.
Ventricular volume (VV) is a widely used structural magnetic resonance imaging (MRI) biomarker in Alzheimer’s disease (AD) research. Abnormal enlargements of VV can be detected before clinically significant memory decline. However, VV does not pinpoint the details of subregional ventricular expansions. Here we introduce a ventricular morphometry analysis system (VMAS) that generates a whole connected 3D ventricular shape model and encodes a great deal of ventricular surface deformation information that is inaccessible by VV. VMAS contains an automated segmentation approach and surface-based multivariate morphometry statistics. We applied VMAS to two independent datasets of cognitively unimpaired (CU) groups. To our knowledge, it is the first work to detect ventricular abnormalities that distinguish normal aging subjects from those who imminently progress to clinically significant memory decline. Significant bilateral ventricular morphometric differences were first shown in 38 members of the Arizona APOE cohort, which included 18 CU participants subsequently progressing to the clinically significant memory decline within 2 years after baseline visits (progressors), and 20 matched CU participants with at least 4 years of post-baseline cognitive stability (non-progressors). VMAS also detected significant differences in bilateral ventricular morphometry in 44 Alzheimer’s Disease Neuroimaging Initiative (ADNI) subjects (18 CU progressors vs. 26 CU non-progressors) with the same inclusion criterion. Experimental results demonstrated that the ventricular anterior horn regions were affected bilaterally in CU progressors, and more so on the left. VMAS may track disease progression at subregional levels and measure the effects of pharmacological intervention at a preclinical stage.
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Affiliation(s)
- Qunxi Dong
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Wen Zhang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | | | - Jianfeng Wu
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Boris A Gutman
- Armour College of Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Leslie C Baxter
- Human Brain Imaging Laboratory, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA, USA
| | | | | | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
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16
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Malykhin NV, Travis S, Fujiwara E, Huang Y, Camicioli R, Olsen F. The associations of the
BDNF
and
APOE
polymorphisms, hippocampal subfield volumes, and episodic memory performance across the lifespan. Hippocampus 2020; 30:1081-1097. [DOI: 10.1002/hipo.23217] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 03/23/2020] [Accepted: 04/25/2020] [Indexed: 12/14/2022]
Affiliation(s)
- Nikolai V. Malykhin
- Neuroscience and Mental Health Institute University of Alberta Edmonton Alberta Canada
- Department of Biomedical Engineering University of Alberta Edmonton Alberta Canada
- Department of Psychiatry University of Alberta Edmonton Alberta Canada
| | - Scott Travis
- Neuroscience and Mental Health Institute University of Alberta Edmonton Alberta Canada
| | - Esther Fujiwara
- Neuroscience and Mental Health Institute University of Alberta Edmonton Alberta Canada
- Department of Psychiatry University of Alberta Edmonton Alberta Canada
| | - Yushan Huang
- Department of Biomedical Engineering University of Alberta Edmonton Alberta Canada
| | | | - Fraser Olsen
- Department of Biomedical Engineering University of Alberta Edmonton Alberta Canada
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17
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Nosheny RL, Insel PS, Mattsson N, Tosun D, Buckley S, Truran D, Schuff N, Aisen PS, Weiner MW. Associations among amyloid status, age, and longitudinal regional brain atrophy in cognitively unimpaired older adults. Neurobiol Aging 2019; 82:110-119. [PMID: 31437719 PMCID: PMC7198229 DOI: 10.1016/j.neurobiolaging.2019.07.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 06/28/2019] [Accepted: 07/07/2019] [Indexed: 01/18/2023]
Abstract
The goal of this study was to compare regional brain atrophy patterns in cognitively unimpaired (CU) older adults with and without brain accumulation of amyloid-β (Aβ) to elucidate contributions of Aβ, age, and other variables to atrophy rates. In 80 CU participants from the Alzheimer's Disease Neuroimaging Initiative, we determined effects of Aβ and age on longitudinal, regional atrophy rates, while accounting for confounding variables including sex, APOE ε4 genotype, white matter lesions, and cerebrospinal fluid total and phosphorylated tau levels. We not only found overlapping patterns of atrophy in Aβ+ versus Aβ- participants but also identified regions where atrophy pattern differed between the 2 groups. Higher Aβ load was associated with increased longitudinal atrophy in the entorhinal cortex, amygdala, and hippocampus, even when accounting for age and other variables. Age was associated with atrophy in insula, fusiform gyrus, and isthmus cingulate, even when accounting for Aβ. We found age by Aβ interactions in the postcentral gyrus and lateral orbitofrontal cortex. These results elucidate the separate and related effects of age, Aβ, and other important variables on longitudinal brain atrophy rates in CU older adults.
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Affiliation(s)
- Rachel L Nosheny
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA; Department of Psychiatry, University of California, CA, USA.
| | - Philip S Insel
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Niklas Mattsson
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Duygu Tosun
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA; Department of Radiology and Biomedical Imaging, University of California, CA, USA
| | - Shannon Buckley
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA
| | - Diana Truran
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA
| | - N Schuff
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA
| | - Paul S Aisen
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine of USC, San Diego, CA, USA
| | - Michael W Weiner
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA; Department of Psychiatry, University of California, CA, USA; Department of Radiology and Biomedical Imaging, University of California, CA, USA
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18
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Choi KY, Lee JJ, Gunasekaran TI, Kang S, Lee W, Jeong J, Lim HJ, Zhang X, Zhu C, Won SY, Choi YY, Seo EH, Lee SC, Gim J, Chung JY, Chong A, Byun MS, Seo S, Ko PW, Han JW, McLean C, Farrell J, Lunetta KL, Miyashita A, Hara N, Won S, Choi SM, Ha JM, Jeong JH, Kuwano R, Song MK, An SSA, Lee YM, Park KW, Lee HW, Choi SH, Rhee S, Song WK, Lee JS, Mayeux R, Haines JL, Pericak-Vance MA, Choo ILH, Nho K, Kim KW, Lee DY, Kim S, Kim BC, Kim H, Jun GR, Schellenberg GD, Ikeuchi T, Farrer LA, Lee KH, Neuroimaging Initative AD. APOE Promoter Polymorphism-219T/G is an Effect Modifier of the Influence of APOE ε4 on Alzheimer's Disease Risk in a Multiracial Sample. J Clin Med 2019; 8:jcm8081236. [PMID: 31426376 PMCID: PMC6723529 DOI: 10.3390/jcm8081236] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/09/2019] [Accepted: 08/12/2019] [Indexed: 12/21/2022] Open
Abstract
Variants in the APOE gene region may explain ethnic differences in the association of Alzheimer’s disease (AD) with ε4. Ethnic differences in allele frequencies for three APOE region SNPs (single nucleotide polymorphisms) were identified and tested for association in 19,398 East Asians (EastA), including Koreans and Japanese, 15,836 European ancestry (EuroA) individuals, and 4985 African Americans, and with brain imaging measures of cortical atrophy in sub-samples of Koreans and EuroAs. Among ε4/ε4 individuals, AD risk increased substantially in a dose-dependent manner with the number of APOE promoter SNP rs405509 T alleles in EastAs (TT: OR (odds ratio) = 27.02, p = 8.80 × 10−94; GT: OR = 15.87, p = 2.62 × 10−9) and EuroAs (TT: OR = 18.13, p = 2.69 × 10−108; GT: OR = 12.63, p = 3.44 × 10−64), and rs405509-T homozygotes had a younger onset and more severe cortical atrophy than those with G-allele. Functional experiments using APOE promoter fragments demonstrated that TT lowered APOE expression in human brain and serum. The modifying effect of rs405509 genotype explained much of the ethnic variability in the AD/ε4 association, and increasing APOE expression might lower AD risk among ε4 homozygotes.
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Affiliation(s)
- Kyu Yeong Choi
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
| | - Jang Jae Lee
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
| | - Tamil Iniyan Gunasekaran
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea
| | - Sarang Kang
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Life Science, Chosun University, Gwangju 61452, Korea
| | - Wooje Lee
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
| | - Jangho Jeong
- Department of Life Science, Chung-Ang University, Seoul 06974, Korea
| | - Ho Jae Lim
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Life Science, Chosun University, Gwangju 61452, Korea
| | - Xiaoling Zhang
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Congcong Zhu
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA
| | - So-Yoon Won
- Department of Biochemistry and Signaling Disorder Research Center, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
| | - Yu Yong Choi
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
| | - Eun Hyun Seo
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Premedical Science, Chosun University College of Medicine, Gwangju 61452, Korea
| | - Seok Cheol Lee
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
| | - Jungsoo Gim
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea
| | - Ji Yeon Chung
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Neurology, Chosun University Hospital, Gwangju 61452, Korea
| | - Ari Chong
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Nuclear Medicine, Chosun University Hospital, Gwangju 61452, Korea
| | - Min Soo Byun
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul 03080, Korea
| | - Sujin Seo
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
| | - Pan-Woo Ko
- Department of Neurology, Kyungpook National University School of Medicine, Daegu 41944, Korea
| | - Ji-Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do 13620, Korea
| | - Catriona McLean
- Department of Pathology, The Alfred Hospital, Melbourne, Victoria 3004, Australia
| | - John Farrell
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Akinori Miyashita
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Norikazu Hara
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Sungho Won
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
| | - Seong-Min Choi
- Department of Neurology, Chonnam National University Medical School, Gwangju 61469, Korea
| | - Jung-Min Ha
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Nuclear Medicine, Chosun University Hospital, Gwangju 61452, Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul 07985, Korea
| | - Ryozo Kuwano
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Min Kyung Song
- Chonnam national university Gwangju 2nd geriatric hospital, Gwangju 61748, Korea
| | - Seong Soo A An
- Department of Bionanotechnology, Gachon University, Seongnam, Gyeonggi-do 13120, Korea
| | - Young Min Lee
- Department of Psychiatry, Pusan National University School of Medicine, Busan 50612, Korea
| | - Kyung Won Park
- Department of Neurology, Donga University College of Medicine, Busan 49315, Korea
| | - Ho-Won Lee
- Department of Neurology, Kyungpook National University School of Medicine, Daegu 41944, Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon 22212, Korea
| | - Sangmyung Rhee
- Department of Life Science, Chung-Ang University, Seoul 06974, Korea
| | - Woo Keun Song
- Bio Imaging and Cell Logistics Research Center, School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
| | - Jung Sup Lee
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea
| | - Richard Mayeux
- Department of Neurology and Sergievsky Center, Columbia University, New York, NY 10032, USA
| | - Jonathan L Haines
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Margaret A Pericak-Vance
- Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL 33101, USA
| | - I L Han Choo
- Department of Neuropsychiatry, Chosun University School of Medicine and Hospital, Gwangju 61453, Korea
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Ki-Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do 13620, Korea
| | - Dong Young Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul 03080, Korea
| | - SangYun Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do 13620, Korea
| | - Byeong C Kim
- Department of Neurology, Chonnam National University Medical School, Gwangju 61469, Korea
| | - Hoowon Kim
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea
- Department of Neurology, Chosun University Hospital, Gwangju 61452, Korea
| | - Gyungah R Jun
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104-4238, USA
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Departments of Neurology, Ophthalmology, and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, MA 02118, USA
| | - Kun Ho Lee
- National Research Center for Dementia, Chosun University, Gwangju 61452, Korea.
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea.
- Department of Life Science, Chosun University, Gwangju 61452, Korea.
- Department of Neural Development and Disease, Korea Brain Research Institute, Daegu 41062, Korea.
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Dong Q, Zhang W, Wu J, Li B, Schron EH, McMahon T, Shi J, Gutman BA, Chen K, Baxter LC, Thompson PM, Reiman EM, Caselli RJ, Wang Y. Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects. NEUROIMAGE-CLINICAL 2019; 22:101744. [PMID: 30852398 PMCID: PMC6411498 DOI: 10.1016/j.nicl.2019.101744] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 02/02/2019] [Accepted: 03/02/2019] [Indexed: 11/30/2022]
Abstract
Apolipoprotein E (APOE) e4 is the major genetic risk factor for late-onset Alzheimer's disease (AD). The dose-dependent impact of this allele on hippocampal volumes has been documented, but its influence on general hippocampal morphology in cognitively unimpaired individuals is still elusive. Capitalizing on the study of a large number of cognitively unimpaired late middle aged and older adults with two, one and no APOE-e4 alleles, the current study aims to characterize the ability of our automated surface-based hippocampal morphometry algorithm to distinguish between these three levels of genetic risk for AD and demonstrate its superiority to a commonly used hippocampal volume measurement. We examined the APOE-e4 dose effect on cross-sectional hippocampal morphology analysis in a magnetic resonance imaging (MRI) database of 117 cognitively unimpaired subjects aged between 50 and 85 years (mean = 57.4, SD = 6.3), including 36 heterozygotes (e3/e4), 37 homozygotes (e4/e4) and 44 non-carriers (e3/e3). The proposed automated framework includes hippocampal surface segmentation and reconstruction, higher-order hippocampal surface correspondence computation, and hippocampal surface deformation analysis with multivariate statistics. In our experiments, the surface-based method identified APOE-e4 dose effects on the left hippocampal morphology. Compared to the widely-used hippocampal volume measure, our hippocampal morphometry statistics showed greater statistical power by distinguishing cognitively unimpaired subjects with two, one, and no APOE-e4 alleles. Our findings mirrored previous studies showing that APOE-e4 has a dose effect on the acceleration of brain structure deformities. The results indicated that the proposed surface-based hippocampal morphometry measure is a potential preclinical AD imaging biomarker for cognitively unimpaired individuals. Applied surface-based hippocampal morphometry on cognitively unimpaired subjects. Our study identified APOE-e4 dose effects on cognitively unimpaired subjects. Surface-based hippocampal morphometry outperformed the hippocampal volume measure. Surface-based hippocampal morphometry may be a potential preclinical AD biomarker.
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Affiliation(s)
- Qunxi Dong
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Wen Zhang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Jianfeng Wu
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Bolun Li
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | | | - Travis McMahon
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Jie Shi
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Boris A Gutman
- Armour College of Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Leslie C Baxter
- Human Brain Imaging Laboratory, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA, USA
| | | | | | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
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Effects of APOE-ε4 allele load on brain morphology in a cohort of middle-aged healthy individuals with enriched genetic risk for Alzheimer's disease. Alzheimers Dement 2018; 14:902-912. [PMID: 29605385 DOI: 10.1016/j.jalz.2018.01.016] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 12/21/2017] [Accepted: 01/30/2018] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Apolipoprotein E (APOE)-ε4 is the major genetic risk factor for Alzheimer's disease. However, the dose-dependent impact of this allele on brain morphology of healthy individuals remains unclear. METHODS We analyzed gray matter volumes (GMvs) in a sample of 533 healthy middle-aged individuals with a substantial representation of ε4-carriers (207 heterozygotes and 65 homozygotes). RESULTS We found APOE-ε4 additive GMv reductions in the right hippocampus, caudate, precentral gyrus, and cerebellar crus. In these regions, the APOE genotype interacted with age, with homozygotes displaying lower GMv after the fifth decade of life. APOE-ε4 was also associated to greater GMv in the right thalamus, left occipital gyrus, and right frontal cortex. DISCUSSION Our data indicate that APOE-ε4 exerts additive effects on GMv in regions relevant for Alzheimer's disease pathophysiology already in healthy individuals. These findings elucidate the mechanisms underlying the increased Alzheimer's disease risk in ε4-carriers, suggesting a dose-dependent disease vulnerability on the brain structure level.
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21
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Kunz L, Reuter M, Axmacher N, Montag C. Conscientiousness is Negatively Associated with Grey Matter Volume in Young APOE ɛ4-Carriers. J Alzheimers Dis 2018; 56:1135-1144. [PMID: 28106551 DOI: 10.3233/jad-160854] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The etiology of late onset Alzheimer's disease (LOAD) depends on multiple factors, among which the APOE ɛ4 allele is the most adverse genetic determinant and conscientiousness represents an influential personality trait. A potential association of both factors with brain structure in young adulthood may constitute a constellation that sets the course toward or against the subtle disease progression of LOAD that starts decades before clinical manifestation. Hence, in the present study, we examined the modulating effects of APOE ɛ4 on the relation between personality dimensions, including conscientiousness, and total grey matter volume (GMV) in young healthy adults using an a priori genotyping design. 105 participants completed an inventory assessing the Five Factor Model of Personality (NEO-FFI) and a structural MRI scan. Total GMV was estimated using both Freesurfer as well as VBM8. Across all participants, total GMV was positively associated with extraversion and negatively related to age. In APOE ɛ4-carriers- but not in APOE ɛ4-non-carriers- conscientiousness was negatively associated with total GMV. In line with the hypothesis of antagonistic pleiotropy of the APOE ɛ4 allele, this result suggests that young APOE ɛ4-carriers with increased total GMV may particularly benefit from cognitive advantages and thus have a lower need to engage in conscientious behavior. In this subset of young APOE ɛ4-carriers, the reduction in conscientiousness could then bring along adverse health behavior in the long run, potentiating the risk for LOAD. Hence, young APOE ɛ4-carriers with increased total GMV may be at a particularly high risk for LOAD.
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Affiliation(s)
- Lukas Kunz
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Epileptology, University of Bonn, Bonn, Germany.,Department of Neuropsychology, Institute of Cognitive Neuroscience, Ruhr-University Bochum, Bochum, Germany
| | - Martin Reuter
- Department of Psychology, University of Bonn, Bonn, Germany.,Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
| | - Nikolai Axmacher
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Epileptology, University of Bonn, Bonn, Germany.,Department of Neuropsychology, Institute of Cognitive Neuroscience, Ruhr-University Bochum, Bochum, Germany
| | - Christian Montag
- Institute for Psychology and Education, Ulm University, Ulm, Germany.,Key Laboratory for NeuroInformation/Center for Information in BioMedicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
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22
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Tardif CL, Devenyi GA, Amaral RSC, Pelleieux S, Poirier J, Rosa‐Neto P, Breitner J, Chakravarty MM. Regionally specific changes in the hippocampal circuitry accompany progression of cerebrospinal fluid biomarkers in preclinical Alzheimer's disease. Hum Brain Mapp 2018; 39:971-984. [PMID: 29164798 PMCID: PMC6866392 DOI: 10.1002/hbm.23897] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 11/10/2017] [Accepted: 11/13/2017] [Indexed: 01/18/2023] Open
Abstract
Neuropathological and in vivo brain imaging studies agree that the cornu ammonis 1 and subiculum subfields of the hippocampus are most vulnerable to atrophy in the prodromal phases of Alzheimer's disease (AD). However, there has been limited investigation of the structural integrity of the components of the hippocampal circuit, including subfields and extra-hippocampal white matter structure, in relation to the progression of well-accepted cerebrospinal fluid (CSF) biomarkers of AD, amyloid-β 1-42 (Aβ) and total-tau (tau). We investigated these relationships in 88 aging asymptomatic individuals with a parental or multiple-sibling familial history of AD. Apolipoprotein (APOE) ɛ4 risk allele carriers were identified, and all participants underwent cognitive testing, structural magnetic resonance imaging, and lumbar puncture for CSF assays of tau, phosphorylated-tau (p-tau) and Aβ. Individuals with a reduction in CSF Aβ levels (an indicator of amyloid accretion into neuritic plaques) as well as evident tau pathology (believed to be linked to neurodegeneration) exhibited lower subiculum volume, lower fornix microstructural integrity, and a trend towards lower cognitive score than individuals who showed only reduction in CSF Aβ. In contrast, persons with normal levels of tau showed an increase in structural MR markers in relation to declining levels of CSF Aβ. These results suggest that hippocampal subfield volume and extra-hippocampal white matter microstructure demonstrate a complex pattern where an initial volume increase is followed by decline among asymptomatic individuals who, in some instances, may be a decade or more away from onset of cognitive or functional impairment.
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Affiliation(s)
- Christine L. Tardif
- Cerebral Imaging Centre, Douglas Mental Health University InstituteVerdunQuebecCanada
- Montreal Neurological InstituteMontrealQuebecCanada
- Department of Biomedical EngineeringMcGill UniversityMontrealQuebecCanada
| | - Gabriel A. Devenyi
- Cerebral Imaging Centre, Douglas Mental Health University InstituteVerdunQuebecCanada
- Department of PsychiatryMcGill UniversityMontrealQuebecCanada
| | - Robert S. C. Amaral
- Cerebral Imaging Centre, Douglas Mental Health University InstituteVerdunQuebecCanada
| | - Sandra Pelleieux
- Centre for the Studies on the Prevention of AD, Douglas Mental Health University InstituteVerdunQuebecCanada
| | - Judes Poirier
- Centre for the Studies on the Prevention of AD, Douglas Mental Health University InstituteVerdunQuebecCanada
| | - Pedro Rosa‐Neto
- Montreal Neurological InstituteMontrealQuebecCanada
- McGill University, Research Centre for Studies in AgingMontreal QuebecCanada
| | | | - M. Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University InstituteVerdunQuebecCanada
- Department of Biomedical EngineeringMcGill UniversityMontrealQuebecCanada
- Department of PsychiatryMcGill UniversityMontrealQuebecCanada
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23
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Nao J, Sun H, Wang Q, Ma S, Zhang S, Dong X, Ma Y, Wang X, Zheng D. Adverse Effects of the Apolipoprotein E ε4 Allele on Episodic Memory, Task Switching and Gray Matter Volume in Healthy Young Adults. Front Hum Neurosci 2017; 11:346. [PMID: 28706481 PMCID: PMC5489690 DOI: 10.3389/fnhum.2017.00346] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 06/15/2017] [Indexed: 11/13/2022] Open
Abstract
Many studies have shown that healthy elderly subjects and patients with Alzheimer’s disease (AD) who carry the apolipoprotein E (ApoE) ε4 allele have worse cognitive function and more severe brain atrophy than non-carriers. However, it remains unclear whether this ApoE polymorphism leads to changes of cognition and brain morphology in healthy young adults. In this study, we used an established model to measure verbal episodic memory and core executive function (EF) components (response inhibition, working memory and task switching) in 32 ApoE ε4 carriers and 40 non-carriers between 20 years and 40 years of age. To do this, we carried out an adapted auditory verbal learning test and three computerized EF tasks. High-resolution head magnetic resonance scans were performed in all participants and voxel-based morphometry (VBM) was used for image processing and analysis. Multivariate analysis of variance (ANOVA) performed on memory measures showed that the overall verbal episodic memory of ApoE ε4 carriers was significantly worse than non-carriers (Wilk’s λ = 4.884, P = 0.004). No significant differences were detected in overall EF between the two groups. Post hoc analyses revealed group differences in terms of immediate recall, recognition and task switching, which favored non-carriers. VBM analysis showed gray matter (GM) bilateral reductions in the medial and dorsolateral frontal, parietal and left temporal cortices in the carrier group relative to the non-carrier group, which were most significant in the bilateral anterior and middle cingulate gyri. However, these changes in GM volume were not directly associated with changes in cognitive function. Our data show that the ApoE ε4 allele is associated with poorer performance in verbal episodic memory and task switching, and a reduction in GM volume in healthy young adults, suggesting that the effects of ApoE ε4 upon cognition and brain morphology exist long before the possible occurrence of AD.
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Affiliation(s)
- Jianfei Nao
- Department of Neurology, Shengjing Hospital of China Medical UniversityShenyang, China
| | - Hongzan Sun
- Department of Radiology, Shengjing Hospital of China Medical UniversityShenyang, China
| | - Qiushi Wang
- Department of Radiology, Shengjing Hospital of China Medical UniversityShenyang, China
| | - Shuang Ma
- Department of Neurology, Shengjing Hospital of China Medical UniversityShenyang, China
| | - Shuo Zhang
- Department of Neurology, Shengjing Hospital of China Medical UniversityShenyang, China
| | - Xiaoyu Dong
- Department of Neurology, Shengjing Hospital of China Medical UniversityShenyang, China
| | - Ying Ma
- Department of Neurology, Shengjing Hospital of China Medical UniversityShenyang, China
| | - Xiaoming Wang
- Department of Radiology, Shengjing Hospital of China Medical UniversityShenyang, China
| | - Dongming Zheng
- Department of Neurology, Shengjing Hospital of China Medical UniversityShenyang, China
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24
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Mak E, Gabel S, Mirette H, Su L, Williams GB, Waldman A, Wells K, Ritchie K, Ritchie C, O’Brien J. Structural neuroimaging in preclinical dementia: From microstructural deficits and grey matter atrophy to macroscale connectomic changes. Ageing Res Rev 2017; 35:250-264. [PMID: 27777039 DOI: 10.1016/j.arr.2016.10.001] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 08/26/2016] [Accepted: 10/19/2016] [Indexed: 12/18/2022]
Abstract
The last decade has witnessed a proliferation of neuroimaging studies characterising brain changes associated with Alzheimer's disease (AD), where both widespread atrophy and 'signature' brain regions have been implicated. In parallel, a prolonged latency period has been established in AD, with abnormal cerebral changes beginning many years before symptom onset. This raises the possibility of early therapeutic intervention, even before symptoms, when treatments could have the greatest effect on disease-course modification. Two important prerequisites of this endeavour are (1) accurate characterisation or risk stratification and (2) monitoring of progression using neuroimaging outcomes as a surrogate biomarker in those without symptoms but who will develop AD, here referred to as preclinical AD. Structural neuroimaging modalities have been used to identify brain changes related to risk factors for AD, such as familial genetic mutations, risk genes (for example apolipoprotein epsilon-4 allele), and/or family history. In this review, we summarise structural imaging findings in preclinical AD. Overall, the literature suggests early vulnerability in characteristic regions, such as the medial temporal lobe structures and the precuneus, as well as white matter tracts in the fornix, cingulum and corpus callosum. We conclude that while structural markers are promising, more research and validation studies are needed before future secondary prevention trials can adopt structural imaging biomarkers as either stratification or surrogate biomarkers.
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25
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APOE moderates compensatory recruitment of neuronal resources during working memory processing in healthy older adults. Neurobiol Aging 2017; 56:127-137. [PMID: 28528773 DOI: 10.1016/j.neurobiolaging.2017.04.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 03/17/2017] [Accepted: 04/13/2017] [Indexed: 11/20/2022]
Abstract
The APOE ε4 allele increases the risk for sporadic Alzheimer's disease and modifies brain activation patterns of numerous cognitive domains. We assessed cognitively intact older adults with a letter n-back task to determine if previously observed increases in ε4 carriers' working-memory-related brain activation are compensatory such that they serve to maintain working memory function. Using multiple regression models, we identified interactions of APOE variant and age in bilateral hippocampus independently from task performance: ε4 carriers only showed a decrease in activation with increasing age, suggesting high sensitivity of fMRI data for detecting changes in Alzheimer's disease-relevant brain areas before cognitive decline. Moreover, we identified ε4 carriers to show higher activations in task-negative medial and task-positive inferior frontal areas along with better performance under high working memory load relative to non-ε4 carriers. The increased frontal recruitment is compatible with models of neuronal compensation, extends on existing evidence, and suggests that ε4 carriers require additional neuronal resources to successfully perform a demanding working memory task.
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26
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Ferreira D, Hansson O, Barroso J, Molina Y, Machado A, Hernández-Cabrera JA, Muehlboeck JS, Stomrud E, Nägga K, Lindberg O, Ames D, Kalpouzos G, Fratiglioni L, Bäckman L, Graff C, Mecocci P, Vellas B, Tsolaki M, Kłoszewska I, Soininen H, Lovestone S, Ahlström H, Lind L, Larsson EM, Wahlund LO, Simmons A, Westman E. The interactive effect of demographic and clinical factors on hippocampal volume: A multicohort study on 1958 cognitively normal individuals. Hippocampus 2017; 27:653-667. [DOI: 10.1002/hipo.22721] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 02/09/2017] [Accepted: 02/15/2017] [Indexed: 11/08/2022]
Affiliation(s)
- Daniel Ferreira
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
| | - Oskar Hansson
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - José Barroso
- Department of Clinical Psychology; Psychobiology and Methodology, University of La Laguna; La Laguna 38071 Spain
| | - Yaiza Molina
- Department of Clinical Psychology; Psychobiology and Methodology, University of La Laguna; La Laguna 38071 Spain
- Faculty of Health Sciences; University Fernando Pessoa Canarias, Las Palmas de Gran Canaria; Spain
| | - Alejandra Machado
- Department of Clinical Psychology; Psychobiology and Methodology, University of La Laguna; La Laguna 38071 Spain
| | | | - J-Sebastian Muehlboeck
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
| | - Erik Stomrud
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - Katarina Nägga
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - Olof Lindberg
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - David Ames
- National Ageing Research Institute; Parkville; Victoria 3050 Australia
- University of Melbourne Academic Unit for Psychiatry of Old Age; St George's Hospital, Kew; Victoria 3101 Australia
| | - Grégoria Kalpouzos
- Aging Research Center (ARC); Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; 113 30 Stockholm Sweden
| | - Laura Fratiglioni
- Aging Research Center (ARC); Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; 113 30 Stockholm Sweden
- Stockholm Gerontology Research Centre; Stockholm 11330 Sweden
| | - Lars Bäckman
- Aging Research Center (ARC); Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; 113 30 Stockholm Sweden
- Stockholm Gerontology Research Centre; Stockholm 11330 Sweden
| | - Caroline Graff
- Division of Neurogeriatrics; Department of Neurobiology Care Sciences and Society, Centre for Alzheimer Research, Karolinska Institutet; Stockholm 14157 Sweden
- Department of Geriatric Medicine; Karolinska University Hospital Huddinge; Stockholm 14186 Sweden
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics; University of Perugia; Perugia 06100 Italy
| | - Bruno Vellas
- INSERM U 558; University of Toulouse; Toulouse 31024 France
| | - Magda Tsolaki
- 3rd Department of Neurology; Aristoteleion Panepistimeion Thessalonikis; Thessaloniki 54124 Greece
| | | | - Hilkka Soininen
- University of Eastern Finland and Kuopio University Hospital; Kuopio 70211 Finland
| | - Simon Lovestone
- Department of Psychiatry; Warneford Hospital University of Oxford; Oxford OX37JX United Kingdom
| | - Håkan Ahlström
- Department of Surgical Sciences; Radiology, Uppsala University; Uppsala 75185 Sweden
| | - Lars Lind
- Department of Medical Sciences; Uppsala University; Uppsala 75185 Sweden
| | - Elna-Marie Larsson
- Department of Surgical Sciences; Radiology, Uppsala University; Uppsala 75185 Sweden
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
| | - Andrew Simmons
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
- NIHR Biomedical Research Centre for Mental Health; London SE58AF United Kingdom
- NIHR Biomedical Research Unit for Dementia; London SE58AF United Kingdom
- Institute of Psychiatry; King's College London; London SE58AF United Kingdom
| | - Eric Westman
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
- Institute of Psychiatry; King's College London; London SE58AF United Kingdom
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Abstract
OBJECTIVE Low socioeconomic position (SEP) has been linked to an increased risk of dementia and cognitive decline. However, little is known about the association between SEP and morphologic brain changes in older age. This study examines the relationships between indicators of life-course SEP with both hippocampal volume (HcV) and HcV loss in a population-based cohort of 1328 older adults aged 65 to 80 years. METHODS Multivariable linear regression models were used to estimate the associations of SEP with baseline HcV and the annual rate of HcV atrophy according to three life-course conceptual models: the sensitive/critical periods model (which explored SEP in specific periods: in childhood [using parental education], early adulthood [based on participants' education], and midlife [based on participants' socioprofessional group]); the accumulation-of-risk model (life-course cumulative SEP), and the social mobility model (life-course SEP trajectories). RESULTS Participants with lower midlife SEP had smaller HcV (-0.08 cm; 95% confidence interval, -0.15 to -0.01) and 0.17% (95% confidence interval, 0.04%-0.30%) faster hippocampal atrophy than participants with higher midlife SEP. Childhood and early adulthood SEPs were not related to hippocampal measures. The accumulation-of-risk and the social mobility models revealed that the accumulation of socioeconomic disadvantage and declining socioeconomic trajectories were related to faster hippocampal atrophy. CONCLUSIONS In this cohort of older adults, lower socioprofessional attainment in midlife and disadvantageous life-course socioeconomic position were associated with faster hippocampal atrophy, a cerebral change linked to cognitive disorders. Results support the hypothesized links between socioenvironmental exposures related to stress and/or cognitive enrichment and brain/cognitive reserve capacities.
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Reiter K, Nielson KA, Durgerian S, Woodard JL, Smith JC, Seidenberg M, Kelly DA, Rao SM. Five-Year Longitudinal Brain Volume Change in Healthy Elders at Genetic Risk for Alzheimer's Disease. J Alzheimers Dis 2017; 55:1363-1377. [PMID: 27834774 PMCID: PMC5924681 DOI: 10.3233/jad-160504] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Neuropathological changes associated with Alzheimer's disease (AD) precede symptom onset by more than a decade. Possession of an apolipoprotein E (APOE) ɛ4 allele is the strongest genetic risk factor for late onset AD. Cross-sectional studies of cognitively intact elders have noted smaller hippocampal/medial temporal volumes in ɛ4 carriers (ɛ4+) compared to ɛ4 non-carriers (ɛ4-). Few studies, however, have examined long-term, longitudinal, anatomical brain changes comparing healthy ɛ4+ and ɛ4- individuals. The current five-year study examined global and regional volumes of cortical and subcortical grey and white matter and ventricular size in 42 ɛ4+ and 30 ɛ4- individuals. Cognitively intact participants, ages 65-85 at study entry, underwent repeat anatomical MRI scans on three occasions: baseline, 1.5, and 4.75 years. Results indicated no between-group volumetric differences at baseline. Over the follow-up interval, the ɛ4+ group experienced a greater rate of volume loss in total grey matter, bilateral hippocampi, right hippocampal subfields, bilateral lingual gyri, bilateral parahippocampal gyri, and right lateral orbitofrontal cortex compared to the ɛ4- group. Greater loss in grey matter volumes in ɛ4+ participants were accompanied by greater increases in lateral, third, and fourth ventricular volumes. Rate of change in white matter volumes did not differentiate the groups. The current results indicate that longitudinal measurements of brain atrophy can serve as a sensitive biomarker for identifying neuropathological changes in persons at genetic risk for AD and potentially, for assessing the efficacy of treatments designed to slow or prevent disease progression during the preclinical stage of AD.
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Affiliation(s)
| | - Kristy A. Nielson
- Department of Psychology, Marquette University
- Department of Neurology, Medical College of Wisconsin
| | | | | | - J. Carson Smith
- Department of Kinesiology, School of Public Health, University of Maryland
| | | | - Dana A. Kelly
- Department of Psychology, Rosalind Franklin University
| | - Stephen M. Rao
- Schey Center for Cognitive Neuroimaging, Lou Ruvo Center for Brain Health, Neurological Institute, Cleveland Clinic
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Konishi K, Bhat V, Banner H, Poirier J, Joober R, Bohbot VD. APOE2 Is Associated with Spatial Navigational Strategies and Increased Gray Matter in the Hippocampus. Front Hum Neurosci 2016; 10:349. [PMID: 27468260 PMCID: PMC4942687 DOI: 10.3389/fnhum.2016.00349] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2015] [Accepted: 06/28/2016] [Indexed: 11/30/2022] Open
Abstract
The Apolipoprotein E (APOE) gene has a strong association with Alzheimer’s disease (AD). The ε4 allele is a well-documented genetic risk factor of AD. In contrast, the ε2 allele of the APOE gene is known to be protective against AD. Much of the focus on the APOE gene has been on the ε4 allele in both young and older adults and few studies have looked into the cognitive and brain structure correlates of the ε2 allele, especially in young adults. In the current study, we investigated the relationship between APOE genotype, navigation behavior, and hippocampal gray matter in healthy young adults. One-hundred and twenty-four healthy young adults were genotyped and tested on the 4on8 virtual maze, a task that allows for the assessment of navigation strategy. The task assesses the spontaneous use of either a hippocampus-dependent spatial strategy or a caudate nucleus-dependent response strategy. Of the 124 participants, 37 underwent structural magnetic resonance imaging (MRI). We found that ε2 carriers use a hippocampus-dependent spatial strategy to a greater extent than ε3 homozygous individuals and ε4 carriers. We also found that APOE ε2 allele carriers have more gray matter in the hippocampus compared to ε3 homozygous individuals and ε4 carriers. Our findings suggest that the protective effects of the ε2 allele may, in part, be expressed through increased hippocampus gray matter and increased use of hippocampus-dependent spatial strategies. The current article demonstrates the relationship between brain structure, navigation behavior, and APOE genotypes in healthy young adults.
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Affiliation(s)
- Kyoko Konishi
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University Verdun, QC, Canada
| | - Venkat Bhat
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University Verdun, QC, Canada
| | - Harrison Banner
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University Verdun, QC, Canada
| | - Judes Poirier
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University Verdun, QC, Canada
| | - Ridha Joober
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University Verdun, QC, Canada
| | - Véronique D Bohbot
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University Verdun, QC, Canada
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Riedel BC, Thompson PM, Brinton RD. Age, APOE and sex: Triad of risk of Alzheimer's disease. J Steroid Biochem Mol Biol 2016; 160:134-47. [PMID: 26969397 PMCID: PMC4905558 DOI: 10.1016/j.jsbmb.2016.03.012] [Citation(s) in RCA: 379] [Impact Index Per Article: 47.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2015] [Revised: 03/02/2016] [Accepted: 03/06/2016] [Indexed: 02/06/2023]
Abstract
Age, apolipoprotein E ε4 (APOE) and chromosomal sex are well-established risk factors for late-onset Alzheimer's disease (LOAD; AD). Over 60% of persons with AD harbor at least one APOE-ε4 allele. The sex-based prevalence of AD is well documented with over 60% of persons with AD being female. Evidence indicates that the APOE-ε4 risk for AD is greater in women than men, which is particularly evident in heterozygous women carrying one APOE-ε4 allele. Paradoxically, men homozygous for APOE-ε4 are reported to be at greater risk for mild cognitive impairment and AD. Herein, we discuss the complex interplay between the three greatest risk factors for Alzheimer's disease, age, APOE-ε4 genotype and chromosomal sex. We propose that the convergence of these three risk factors, and specifically the bioenergetic aging perimenopause to menopause transition unique to the female, creates a risk profile for AD unique to the female. Further, we discuss the specific risk of the APOE-ε4 positive male which appears to emerge early in the aging process. Evidence for impact of the triad of AD risk factors is most evident in the temporal trajectory of AD progression and burden of pathology in relation to APOE genotype, age and sex. Collectively, the data indicate complex interactions between age, APOE genotype and gender that belies a one size fits all approach and argues for a precision medicine approach that integrates across the three main risk factors for Alzheimer's disease.
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Affiliation(s)
- Brandalyn C Riedel
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089, USA
| | - Paul M Thompson
- USC Institute for Neuroimaging and Informatics, University of Southern California, Marina del Rey, CA 90292, USA
| | - Roberta Diaz Brinton
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA.
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Influence of APOE Genotype on Hippocampal Atrophy over Time - An N=1925 Surface-Based ADNI Study. PLoS One 2016; 11:e0152901. [PMID: 27065111 PMCID: PMC4827849 DOI: 10.1371/journal.pone.0152901] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Accepted: 03/21/2016] [Indexed: 11/25/2022] Open
Abstract
The apolipoprotein E (APOE) e4 genotype is a powerful risk factor for late-onset Alzheimer’s disease (AD). In the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort, we previously reported significant baseline structural differences in APOE e4 carriers relative to non-carriers, involving the left hippocampus more than the right—a difference more pronounced in e4 homozygotes than heterozygotes. We now examine the longitudinal effects of APOE genotype on hippocampal morphometry at 6-, 12- and 24-months, in the ADNI cohort. We employed a new automated surface registration system based on conformal geometry and tensor-based morphometry. Among different hippocampal surfaces, we computed high-order correspondences, using a novel inverse-consistent surface-based fluid registration method and multivariate statistics consisting of multivariate tensor-based morphometry (mTBM) and radial distance. At each time point, using Hotelling’s T2 test, we found significant morphological deformation in APOE e4 carriers relative to non-carriers in the full cohort as well as in the non-demented (pooled MCI and control) subjects at each follow-up interval. In the complete ADNI cohort, we found greater atrophy of the left hippocampus than the right, and this asymmetry was more pronounced in e4 homozygotes than heterozygotes. These findings, combined with our earlier investigations, demonstrate an e4 dose effect on accelerated hippocampal atrophy, and support the enrichment of prevention trial cohorts with e4 carriers.
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Masdeu JC, Pascual B. Genetic and degenerative disorders primarily causing dementia. HANDBOOK OF CLINICAL NEUROLOGY 2016; 135:525-564. [PMID: 27432682 DOI: 10.1016/b978-0-444-53485-9.00026-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Neuroimaging comprises a powerful set of instruments to diagnose the different causes of dementia, clarify their neurobiology, and monitor their treatment. Magnetic resonance imaging (MRI) depicts volume changes with neurodegeneration and inflammation, as well as abnormalities in functional and structural connectivity. MRI arterial spin labeling allows for the quantification of regional cerebral blood flow, characteristically altered in Alzheimer's disease, diffuse Lewy-body disease, and the frontotemporal dementias. Positron emission tomography allows for the determination of regional metabolism, with similar abnormalities as flow, and for the measurement of β-amyloid and abnormal tau deposition in the brain, as well as regional inflammation. These instruments allow for the quantification in vivo of most of the pathologic features observed in disorders causing dementia. Importantly, they allow for the longitudinal study of these abnormalities, having revealed, for instance, that the deposition of β-amyloid in the brain can antecede by decades the onset of dementia. Thus, a therapeutic window has been opened and the efficacy of immunotherapies directed at removing β-amyloid from the brain of asymptomatic individuals is currently being tested. Tau and inflammation imaging, still in their infancy, combined with genomics, should provide powerful insights into these disorders and facilitate their treatment.
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Affiliation(s)
- Joseph C Masdeu
- Department of Neurology, Houston Methodist Hospital, Houston, TX, USA.
| | - Belen Pascual
- Department of Neurology, Houston Methodist Hospital, Houston, TX, USA
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Papenberg G, Lindenberger U, Bäckman L. Aging-related magnification of genetic effects on cognitive and brain integrity. Trends Cogn Sci 2015; 19:506-14. [PMID: 26187033 DOI: 10.1016/j.tics.2015.06.008] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 06/11/2015] [Accepted: 06/22/2015] [Indexed: 11/17/2022]
Abstract
Heritability studies document substantial genetic influences on cognitive performance and decline in old age. Increasing evidence shows that effects of genetic variations on cognition, brain structure, and brain function become stronger as people age. Disproportionate impairments are typically observed for older individuals carrying disadvantageous genotypes of different candidate genes. These data support the resource-modulation hypothesis, which states that genetic effects are magnified in persons with constrained neural resources, such as older adults. However, given that findings are not unequivocal, we discuss the need to address several factors that may resolve inconsistencies in the extant literature (gene-gene and gene-environment interactions, study populations, gene-environment correlations, and epigenetic mechanisms).
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Affiliation(s)
- Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Kaffashian S, Tzourio C, Soumaré A, Dufouil C, Mazoyer B, Schraen-Maschke S, Buée L, Debette S. Association of plasma β-amyloid with MRI markers of structural brain aging the 3-City Dijon study. Neurobiol Aging 2015; 36:2663-70. [PMID: 26242707 DOI: 10.1016/j.neurobiolaging.2015.03.016] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Revised: 03/14/2015] [Accepted: 03/19/2015] [Indexed: 12/23/2022]
Abstract
Cerebral β-amyloid (Aβ) deposition and atrophy are central features of Alzheimer disease. Studies of Alzheimer disease biomarkers have largely focused on Aβ in cerebrospinal fluid (CSF), and there is uncertainty as to what plasma Aβ may be a marker. We examined the association of Aβ levels in the plasma with magnetic resonance imaging (MRI)-markers of brain aging, including longitudinal changes in global and regional brain volumes, in dementia-free persons. We studied 1530 participants of the Three-City-Dijon cohort, aged 65-80 years. Plasma Aβ measurement and magnetic resonance imaging were performed at baseline and after a 4-year follow up. Total brain, gray matter, and hippocampal volume were estimated using voxel-based morphometry, and annualized change in brain volumes was calculated. Increased plasma Aβ1-40 was associated with lower baseline hippocampal volume. Although baseline plasma Aβ levels were not associated with longitudinal change in brain volumes, consistently high plasma Aβ1-40 levels were associated with faster total brain atrophy and consistently low plasma Aβ1-42/Aβ1-40 ratio, with increased total brain atrophy and gray matter atrophy. In dementia-free older adults, high plasma Aβ1-40 and low plasma Aβ1-42/Aβ1-40 ratio were associated with smaller hippocampal volume and accelerated global and regional brain atrophy respectively.
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Affiliation(s)
| | | | - Aïcha Soumaré
- INSERM U897, University of Bordeaux, Bordeaux, France
| | | | | | | | - Luc Buée
- CHRU de Lille, Lille, France; INSERM U837, Lille, France
| | - Stéphanie Debette
- INSERM U897, University of Bordeaux, Bordeaux, France; Department of Neurology, Bordeaux University Hospital, Bordeaux, France; Department of Neurology, Framingham Heart Study, Boston University School of Medicine, Boston MA, USA
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Elbejjani M, Fuhrer R, Abrahamowicz M, Mazoyer B, Crivello F, Tzourio C, Dufouil C. Depression, depressive symptoms, and rate of hippocampal atrophy in a longitudinal cohort of older men and women. Psychol Med 2015; 45:1931-1944. [PMID: 25896060 DOI: 10.1017/s0033291714003055] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Several studies have reported smaller hippocampal volume (HcV) in depression patients; however, the temporality of the association remains unknown. One proposed hypothesis is that depression may cause HcV loss. This study evaluates whether previous depression and recent depressive symptoms are associated with HcV and HcV loss. METHOD We used a prospective cohort of older adults (n = 1328; age = 65-80 years) with two cerebral magnetic resonance imaging examinations at baseline and 4-year follow-up. Using multivariable linear regression models, we estimated, in stratified analyses by gender, the association between indicators of history of depression and its severity (age at onset, recurrence, hospitalization for depression), proximal depressive symptoms [Center for Epidemiologic Studies-Depression (CES-D) scale], baseline antidepressant use, and the outcomes: baseline HcV and annual percentage change in HcV. RESULTS At baseline, women with more depressive symptoms had smaller HcV [-0.05 cm3, 95% confidence interval (CI) -0.1 to -0.01 cm3 per 10-unit increase in CES-D scores]. History of depression was associated with a 0.2% faster annual HcV loss in women (95% CI 0.01-0.36%). More baseline depressive symptoms and worsening of these symptoms were also associated with accelerated HcV loss in women. No associations were observed in men. Treatment for depression was associated with slower HcV loss in women and men. CONCLUSIONS While only concomitant depressive symptoms were associated with HcV, both previous depression and more proximal depressive symptoms were associated with faster HcV loss in women.
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Affiliation(s)
- M Elbejjani
- Department of Epidemiology,Biostatistics, and Occupational Health,McGill University,1020 Pine Avenue West,Montreal,Quebec,Canada
| | - R Fuhrer
- Department of Epidemiology,Biostatistics, and Occupational Health,McGill University,1020 Pine Avenue West,Montreal,Quebec,Canada
| | - M Abrahamowicz
- Department of Epidemiology,Biostatistics, and Occupational Health,McGill University,1020 Pine Avenue West,Montreal,Quebec,Canada
| | | | | | - C Tzourio
- University of Bordeaux,Bordeaux,France
| | - C Dufouil
- University of Bordeaux,Bordeaux,France
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Sheppard DP, Graves LV, Holden HM, Delano-Wood L, Bondi MW, Gilbert PE. Spatial pattern separation differences in older adult carriers and non-carriers for the apolipoprotein E epsilon 4 allele. Neurobiol Learn Mem 2015; 129:113-9. [PMID: 25957133 DOI: 10.1016/j.nlm.2015.04.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Revised: 04/13/2015] [Accepted: 04/23/2015] [Indexed: 12/24/2022]
Abstract
We examined the performance of healthy young (n=57) and older adults (n=43) genotyped as apolipoprotein E-ε4 (APOE-ε4) carriers or APOE-ε4 non-carriers on a delayed match-to-sample task involving varying degrees of spatial interference hypothesized to assess spatial pattern separation. Older adult ε4 carriers were further divided into "impaired" and "unimpaired" groups based on their performance on a standardized test of verbal memory. We found that performance on the spatial pattern separation test increased as a function of decreased spatial interference across all groups. The older ε4 carriers in the impaired group performed significantly worse (p<.05) than unimpaired ε4 carriers, ε4 non-carriers, and young adults. The data suggest that spatial pattern separation may be less efficient in a subset of healthy older adults with subtle memory decline who are carriers of the ε4 allele. However, pattern separation performance may be comparable to that of young adults in a subset of older adult ε4 carriers and more broadly among non-carriers. Our findings offer additional evidence that pattern separation may vary in older adults, and they provide novel insight into pattern separation efficiency in ε4-positive older adults.
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Affiliation(s)
- David P Sheppard
- Department of Psychology, San Diego State University, San Diego, CA, USA; Department of Psychology, University of Houston, Houston, TX, USA.
| | - Lisa V Graves
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
| | - Heather M Holden
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
| | - Lisa Delano-Wood
- VA San Diego Healthcare System, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, School of Medicine, La Jolla, CA, USA.
| | - Mark W Bondi
- VA San Diego Healthcare System, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, School of Medicine, La Jolla, CA, USA.
| | - Paul E Gilbert
- Department of Psychology, San Diego State University, San Diego, CA, USA; San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
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Cherbuin N, Sargent-Cox K, Easteal S, Sachdev P, Anstey KJ. Hippocampal atrophy is associated with subjective memory decline: The PATH Through Life study. Am J Geriatr Psychiatry 2015; 23:446-55. [PMID: 25204687 DOI: 10.1016/j.jagp.2014.07.009] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Revised: 07/04/2014] [Accepted: 07/21/2014] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To investigate whether subjective memory decline (SMD) in cognitively healthy individuals is associated with hippocampal atrophy. METHODS Multiple regression analyses assessing the relationship between hippocampal atrophy over 4 years and SMD at baseline and follow-up in 305 cognitively healthy individuals aged 60-64 years free from dementia, mild cognitive impairment, and other neurological disorders. RESULTS SMD at baseline was not a significant predictor of hippocampal atrophy. However, SMD at follow-up was associated with greater hippocampal atrophy. Associations were reduced but remained significant after controlling for anxiety and depression symptomatology. CONCLUSION Hippocampal atrophy was associated with incident/persisting SMD and this association was not, or only partly, explained by anxiety and depression symptomatology. These results are consistent with a biological origin to subjective memory decline. SMD should be included in screening and neuropsychological batteries.
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Affiliation(s)
- Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, Australia.
| | - Kerry Sargent-Cox
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, Australia
| | - Simon Easteal
- John Curtin School of Medical Research, Australian National University, Canberra, Australia
| | - Perminder Sachdev
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Kaarin J Anstey
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, Australia
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Fraser MA, Shaw ME, Cherbuin N. A systematic review and meta-analysis of longitudinal hippocampal atrophy in healthy human ageing. Neuroimage 2015; 112:364-374. [PMID: 25800208 DOI: 10.1016/j.neuroimage.2015.03.035] [Citation(s) in RCA: 114] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2014] [Revised: 02/13/2015] [Accepted: 03/14/2015] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION This review aimed to produce hippocampal atrophy rate estimates from healthy ageing studies as well as control samples from observational studies across the adult lifespan which can be used as benchmarks to evaluate abnormal changes in pathological conditions. METHODS The review followed PRISMA guidelines. PUBMED (to February 2014) was searched for longitudinal MRI studies reporting hippocampal atrophy or volume change in cognitively healthy individuals. Titles were screened and non-English, duplicate or irrelevant entries were excluded. Remaining record abstracts were reviewed to identify studies for full text retrieval. Full text was retrieved and screened against inclusion/exclusion criteria. Bibliographies and previous reviews were examined to identify additional studies. Data were summarised using meta-analysis and age, segmentation technique and study type were tested as potential moderators using meta-regression. It was hypothesised that population studies would produce higher atrophy rates than clinical observational studies. RESULTS The systematic search identified 4410 entries and 119 studies were retrieved with 58 failing selection or quality criteria, 30 were excluded as multiple reports and 3 studies were unsuitable for meta-analysis. The remaining 28 studies were included in the meta-analysis, n=3422, 44.65% male, 11,735 person-years of follow-up, mean age was 24.50 to 83 years. Mean total hippocampal atrophy for the entire sample was 0.85% per year (95% CI 0.63, 1.07). Age based atrophy rates were 0.38% per year (CI 0.14, 0.62) for studies with mean age <55 years (n=413), 0.98% (CI 0.27, 1.70) for 55 to <70 years (n=426), and 1.12% (CI 0.86, 1.38) for ≥70 years (n=2583). Meta-regression indicated age was associated with increased atrophy rates of 0.0263% (CI 0.0146, 0.0379) per year and automated segmentation approaches were associated with a reduced atrophy rate of -0.466% (CI -0.841, -0.090). Population studies were not associated with a significant effect on atrophy. Analyses of 11 studies separately measuring left and right hippocampal atrophy (n=1142) provided little evidence of laterality effects. While no study separately reported atrophy by gender, a number tested for gender effects and 2 studies reported higher atrophy in males. CONCLUSIONS Hippocampal atrophy rates increase with age with the largest increases occurring from midlife onwards. Manual segmentation approaches result in higher measured atrophy rates.
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Affiliation(s)
- Mark A Fraser
- Centre for Research on Ageing, Health and Wellbeing, Florey, Building 54, Mills Road, Australian National University, Canberra, ACT 2601, Australia.
| | - Marnie E Shaw
- Centre for Research on Ageing, Health and Wellbeing, Florey, Building 54, Mills Road, Australian National University, Canberra, ACT 2601, Australia
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, Florey, Building 54, Mills Road, Australian National University, Canberra, ACT 2601, Australia
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Genetics and Functional Imaging: Effects of APOE, BDNF, COMT, and KIBRA in Aging. Neuropsychol Rev 2015; 25:47-62. [DOI: 10.1007/s11065-015-9279-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Accepted: 01/20/2015] [Indexed: 01/28/2023]
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40
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Nosheny RL, Insel PS, Truran D, Schuff N, Jack CR, Aisen PS, Shaw LM, Trojanowski JQ, Weiner MW. Variables associated with hippocampal atrophy rate in normal aging and mild cognitive impairment. Neurobiol Aging 2015; 36:273-82. [PMID: 25175807 PMCID: PMC5832349 DOI: 10.1016/j.neurobiolaging.2014.07.036] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2013] [Revised: 07/24/2014] [Accepted: 07/26/2014] [Indexed: 01/18/2023]
Abstract
The goal of this study was to identify factors contributing to hippocampal atrophy rate (HAR) in clinically normal older adults (NC) and participants with mild cognitive impairment (MCI). Longitudinal HAR was measured on T1-weighted magnetic resonance imaging, and the contribution of age, gender, apolipoprotein E (ApoE) ε4 status, intracranial volume, white matter lesions, and β-amyloid (Aβ) levels to HAR was determined using linear regression. Age-related effects of HAR were compared in Aβ positive (Aβ+) and Aβ negative (Aβ-) participants. Age and Aβ levels had independent effects on HAR in NC, whereas gender, ApoE ε4 status, and Aβ levels were associated with HAR in MCI. In multivariable models, Aβ levels were associated with HAR in NC; ApoE ε4 and Aβ levels were associated with HAR in MCI. In MCI, age was a stronger predictor of HAR in Aβ- versus Aβ+ participants. HAR was higher in Aβ+ participants, but most of the HAR was because of factors other than Aβ status. Age-related effects on HAR did not differ between NC versus MCI participants with the same Aβ status. Therefore, we conclude that even when accounting for other covariates, Aβ status, and not age, is a significant predictor of HAR; and that most of the HAR is not accounted for by Aβ status in either NC or MCI.
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Affiliation(s)
- Rachel L Nosheny
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA.
| | - Philip S Insel
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA
| | - Diana Truran
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA
| | - Norbert Schuff
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA
| | | | - Paul S Aisen
- Department of Neurosciences, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - Leslie M Shaw
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Michael W Weiner
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA; Department of Radiology and Biomedical Imaging, University of California, CA, USA
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Dell'Acqua F, Khan W, Gottlieb N, Giampietro V, Ginestet C, Bouls D, Newhouse S, Dobson R, Banaschewski T, Barker GJ, Bokde ALW, Büchel C, Conrod P, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Lemaítre H, Nees F, Paus T, Pausova Z, Rietschel M, Smolka MN, Ströhle A, Gallinat J, Westman E, Schumann G, Lovestone S, Simmons A. Tract Based Spatial Statistic Reveals No Differences in White Matter Microstructural Organization between Carriers and Non-Carriers of the APOE ɛ4 and ɛ2 Alleles in Young Healthy Adolescents. J Alzheimers Dis 2015; 47:977-84. [PMID: 26401776 DOI: 10.3233/jad-140519] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The apolipoprotein E (APOE) ɛ4 allele is the best established genetic risk factor for Alzheimer's disease (AD) and has been previously associated with alterations in structural gray matter and changes in functional brain activity in healthy middle-aged individuals and older non-demented subjects. In order to determine the neural mechanism by which APOE polymorphisms affect white matter (WM) structure, we investigated the diffusion characteristics of WM tracts in carriers and non-carriers of the APOE ɛ4 and ɛ2 alleles using an unbiased whole brain analysis technique (Tract Based Spatial Statistics) in a healthy young adolescent (14 years) cohort. A large sample of healthy young adolescents (n = 575) were selected from the European neuroimaging-genetics IMAGEN study with available APOE status and accompanying diffusion imaging data. MR Diffusion data was acquired on 3T systems using 32 diffusion-weighted (DW) directions and 4 non-DW volumes (b-value = 1,300 s/mm² and isotropic resolution of 2.4×2.4×2.4 mm). No significant differences in WM structure were found in diffusion indices between carriers and non-carriers of the APOE ɛ4 and ɛ2 alleles, and dose-dependent effects of these variants were not established, suggesting that differences in WM structure are not modulated by the APOE polymorphism. In conclusion, our results suggest that microstructural properties of WM structure are not associated with the APOE ɛ4 and ɛ2 alleles in young adolescence, suggesting that the neural effects of these variants are not evident in 14-year-olds and may only develop later in life.
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Affiliation(s)
- Flavio Dell'Acqua
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
- NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Wasim Khan
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
- NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Natalie Gottlieb
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
- NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | | | - Cedric Ginestet
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
| | - David Bouls
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
- NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Steven Newhouse
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
- NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Richard Dobson
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
- NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Tobias Banaschewski
- Central Institute of Mental Health, Mannheim, Germany
- Medical Faculty Mannheim, University of Heidelberg, Germany
| | | | - Arun L W Bokde
- Institute of Neuroscience and Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | | | - Patricia Conrod
- King's College London, Institute of Psychiatry, London, UK
- Department of Psychiatry, Universite de Montreal, CHU Ste Justine Hospital, Canada
| | - Herta Flor
- Central Institute of Mental Health, Mannheim, Germany
- Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Vincent Frouin
- Neurospin, Commissariat à l'Energie Atomique et aux Energies Alternatives, Paris, France
| | - Hugh Garavan
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Penny Gowland
- School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Anreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Germany
| | - Hervé Lemaítre
- Institut National de la Santé et de la Recherche Médicale, INSERM CEA Unit 1000 "Imaging & Psychiatry", University Paris Sud, Orsay, and AP-HP Department of Adolescent Psychopathology and Medicine, Maison de Solenn, University Paris Descartes, Paris, France
| | - Frauke Nees
- Central Institute of Mental Health, Mannheim, Germany
- Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Tomas Paus
- Rotman Research Institute, University of Toronto, Toronto, Canada
- School of Psychology, University of Nottingham, Nottingham, UK
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Marcella Rietschel
- Central Institute of Mental Health, Mannheim, Germany
- Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Michael N Smolka
- Neuroimaging Center, Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Germany
| | - Andreas Ströhle
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Germany
| | - Jean Gallinat
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Germany
| | | | - Gunther Schumann
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
| | - Simon Lovestone
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
- NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Andrew Simmons
- King's College London, Institute of Psychiatry, London, UK
- NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
- NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
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42
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Ungar L, Altmann A, Greicius MD. Apolipoprotein E, gender, and Alzheimer's disease: an overlooked, but potent and promising interaction. Brain Imaging Behav 2014; 8:262-73. [PMID: 24293121 DOI: 10.1007/s11682-013-9272-x] [Citation(s) in RCA: 180] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Alzheimer's disease (AD) is an increasingly prevalent, fatal neurodegenerative disease that has proven resistant, thus far, to all attempts to prevent it, forestall it, or slow its progression. The ε4 allele of the Apolipoprotein E gene (APOE4) is a potent genetic risk factor for sporadic and late-onset familial AD. While the link between APOE4 and AD is strong, many expected effects, like increasing the risk of conversion from MCI to AD, have not been widely replicable. One critical, and commonly overlooked, feature of the APOE4 link to AD is that several lines of evidence suggest it is far more pronounced in women than in men. Here we review previous literature on the APOE4 by gender interaction with a particular focus on imaging-related studies.
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Affiliation(s)
- Leo Ungar
- Functional Imaging in Neuropsychiatric Disorders (FIND) Lab, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA,
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Crivello F, Tzourio-Mazoyer N, Tzourio C, Mazoyer B. Longitudinal assessment of global and regional rate of grey matter atrophy in 1,172 healthy older adults: modulation by sex and age. PLoS One 2014; 9:e114478. [PMID: 25469789 PMCID: PMC4255026 DOI: 10.1371/journal.pone.0114478] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2014] [Accepted: 11/07/2014] [Indexed: 11/23/2022] Open
Abstract
To characterize the neuroanatomical changes in healthy older adults is important to differentiate pathological from normal brain structural aging. The present study investigated the annualized rate of GM atrophy in a large sample of older participants, focusing on the hippocampus, and searching for modulation by age and sex. In this 4-year longitudinal community cohort study, we used a VBM analysis to estimate the annualized rate of GM loss, at both the global and regional levels, in 1,172 healthy older adults (65–82 years) scanned at 1.5T. The global annualized rate of GM was −4.0 cm3/year (−0.83%/year). The highest rates of regional GM loss were found in the frontal and parietal cortices, middle occipital gyri, temporal cortex and hippocampus. The rate of GM atrophy was higher in women (−4.7 cm3/year, −0.91%/year) than men (−3.3 cm3/year, −0.65%/year). The global annualized rate of GM atrophy remained constant throughout the age range of the cohort, in both sexes. This pattern was replicated at the regional level, with the exception of the hippocampi, which showed a rate of GM atrophy that accelerated with age (2.8%/year per year of age) similarly for men and women. The present study reports a global and regional description of the annualized rate of grey matter loss and its evolution after the age of 65. Our results suggest greater anatomical vulnerability of women in late life and highlight a specific vulnerability of the hippocampus to the aging processes after 65 years of age.
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Affiliation(s)
- Fabrice Crivello
- Université de Bordeaux, GIN, UMR 5296, Bordeaux, France
- CNRS, GIN, UMR 5296, Bordeaux, France
- CEA, GIN, UMR 5296, Bordeaux, France
- * E-mail:
| | - Nathalie Tzourio-Mazoyer
- Université de Bordeaux, GIN, UMR 5296, Bordeaux, France
- CNRS, GIN, UMR 5296, Bordeaux, France
- CEA, GIN, UMR 5296, Bordeaux, France
| | | | - Bernard Mazoyer
- Université de Bordeaux, GIN, UMR 5296, Bordeaux, France
- CNRS, GIN, UMR 5296, Bordeaux, France
- CEA, GIN, UMR 5296, Bordeaux, France
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Rondina JM, Squarzoni P, Souza-Duran FL, Tamashiro-Duran JH, Scazufca M, Menezes PR, Vallada H, Lotufo PA, de Toledo Ferraz Alves TC, Busatto Filho G. Framingham Coronary Heart Disease Risk Score Can be Predicted from Structural Brain Images in Elderly Subjects. Front Aging Neurosci 2014; 6:300. [PMID: 25520654 PMCID: PMC4249461 DOI: 10.3389/fnagi.2014.00300] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Accepted: 10/16/2014] [Indexed: 12/28/2022] Open
Abstract
Recent literature has presented evidence that cardiovascular risk factors (CVRF) play an important role on cognitive performance in elderly individuals, both those who are asymptomatic and those who suffer from symptoms of neurodegenerative disorders. Findings from studies applying neuroimaging methods have increasingly reinforced such notion. Studies addressing the impact of CVRF on brain anatomy changes have gained increasing importance, as recent papers have reported gray matter loss predominantly in regions traditionally affected in Alzheimer's disease (AD) and vascular dementia in the presence of a high degree of cardiovascular risk. In the present paper, we explore the association between CVRF and brain changes using pattern recognition techniques applied to structural MRI and the Framingham score (a composite measure of cardiovascular risk largely used in epidemiological studies) in a sample of healthy elderly individuals. We aim to answer the following questions: is it possible to decode (i.e., to learn information regarding cardiovascular risk from structural brain images) enabling individual predictions? Among clinical measures comprising the Framingham score, are there particular risk factors that stand as more predictable from patterns of brain changes? Our main findings are threefold: (i) we verified that structural changes in spatially distributed patterns in the brain enable statistically significant prediction of Framingham scores. This result is still significant when controlling for the presence of the APOE 4 allele (an important genetic risk factor for both AD and cardiovascular disease). (ii) When considering each risk factor singly, we found different levels of correlation between real and predicted factors; however, single factors were not significantly predictable from brain images when considering APOE4 allele presence as covariate. (iii) We found important gender differences, and the possible causes of that finding are discussed.
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Affiliation(s)
- Jane Maryam Rondina
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo , São Paulo , Brazil ; Centre for Computational Statistics and Machine Learning, Department of Computer Science, University College London , London , UK
| | - Paula Squarzoni
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo , São Paulo , Brazil ; Núcleo de Apoio à Pesquisa em Neurociência Aplicada (NAPNA), University of São Paulo , São Paulo , Brazil
| | - Fabio Luis Souza-Duran
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo , São Paulo , Brazil ; Núcleo de Apoio à Pesquisa em Neurociência Aplicada (NAPNA), University of São Paulo , São Paulo , Brazil
| | - Jaqueline Hatsuko Tamashiro-Duran
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo , São Paulo , Brazil ; Núcleo de Apoio à Pesquisa em Neurociência Aplicada (NAPNA), University of São Paulo , São Paulo , Brazil
| | - Marcia Scazufca
- Department and Institute of Psychiatry, University of São Paulo , São Paulo , Brazil
| | - Paulo Rossi Menezes
- Department of Preventive Medicine, University of São Paulo , São Paulo , Brazil
| | - Homero Vallada
- Núcleo de Apoio à Pesquisa em Neurociência Aplicada (NAPNA), University of São Paulo , São Paulo , Brazil ; Department and Institute of Psychiatry, University of São Paulo , São Paulo , Brazil
| | - Paulo A Lotufo
- Center for Clinical and Epidemiologic Research, University of São Paulo , São Paulo , Brazil
| | - Tania Correa de Toledo Ferraz Alves
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo , São Paulo , Brazil ; Núcleo de Apoio à Pesquisa em Neurociência Aplicada (NAPNA), University of São Paulo , São Paulo , Brazil ; Department and Institute of Psychiatry, University of São Paulo , São Paulo , Brazil
| | - Geraldo Busatto Filho
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo , São Paulo , Brazil ; Núcleo de Apoio à Pesquisa em Neurociência Aplicada (NAPNA), University of São Paulo , São Paulo , Brazil ; Department and Institute of Psychiatry, University of São Paulo , São Paulo , Brazil
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45
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Duriez Q, Crivello F, Mazoyer B. Sex-related and tissue-specific effects of tobacco smoking on brain atrophy: assessment in a large longitudinal cohort of healthy elderly. Front Aging Neurosci 2014; 6:299. [PMID: 25404916 PMCID: PMC4217345 DOI: 10.3389/fnagi.2014.00299] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Accepted: 10/15/2014] [Indexed: 01/07/2023] Open
Abstract
We investigated the cross-sectional and longitudinal effects of tobacco smoking on brain atrophy in a large cohort of healthy elderly participants (65–80 years). MRI was used for measuring whole brain (WB), gray matter (GM), white matter (WM), and hippocampus (HIP) volumes at study entry time (baseline, N = 1451), and the annualized rates of variation of these volumes using a 4-year follow-up MRI in a subpart of the cohort (N = 1111). Effects of smoking status (never, former, or current smoker) at study entry and of lifetime tobacco consumption on these brain phenotypes were studied using sex-stratified AN(C)OVAs, including other health parameters as covariates. At baseline, male current smokers had lower GM, while female current smokers had lower WM. In addition, female former smokers exhibited reduced baseline HIP, the reduction being correlated with lifetime tobacco consumption. Longitudinal analyses demonstrated that current smokers, whether men or women, had larger annualized rates of HIP atrophy, as compared to either non or former smokers, independent of their lifetime consumption of tobacco. There was no effect of smoking on the annualized rate of WM loss. In all cases, measured sizes of these tobacco-smoking effects were of the same order of magnitude than those of age, and larger than effect sizes of any other covariate. These results demonstrate that tobacco smoking is a major factor of brain aging, with sex- and tissue specific effects, notably on the HIP annualized rate of atrophy after the age of 65.
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Affiliation(s)
- Quentin Duriez
- Life Sciences, University of Bordeaux, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Centre National de la Recherche Scientifique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Commisariat à l'Energie Atomique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France
| | - Fabrice Crivello
- Life Sciences, University of Bordeaux, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Centre National de la Recherche Scientifique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Commisariat à l'Energie Atomique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France
| | - Bernard Mazoyer
- Life Sciences, University of Bordeaux, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Centre National de la Recherche Scientifique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Commisariat à l'Energie Atomique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France
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Elbejjani M, Fuhrer R, Abrahamowicz M, Mazoyer B, Crivello F, Tzourio C, Dufouil C. Hippocampal atrophy and subsequent depressive symptoms in older men and women: results from a 10-year prospective cohort. Am J Epidemiol 2014; 180:385-93. [PMID: 25086051 PMCID: PMC4128769 DOI: 10.1093/aje/kwu132] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2013] [Accepted: 04/29/2014] [Indexed: 11/12/2022] Open
Abstract
Several studies have reported smaller hippocampal volume in patients with depression. However, the temporality of the association is undetermined. One hypothesis is that hippocampal atrophy might be a susceptibility factor for depression. In the present study, we assessed whether hippocampal atrophy was associated with subsequent depressive symptoms in a cohort of older French adults (n = 1,309) who were 65-80 years of age and enrolled into the study in 1999-2001 in Dijon, France. Subjects were followed for more than 10 years. Participants underwent 2 cerebral magnetic resonance imaging scans, one at baseline and one at the 4-year follow-up. We used linear mixed models to estimate the associations of hippocampal atrophy with 1) the average depressive symptom scores over follow-up (using the Center for Epidemiologic Studies-Depression scale) measured biennially over the subsequent 6 years and 2) changes in symptom scores over follow-up. In women, a 2-standard-deviation increase in annual hippocampal atrophy was associated with a 1.67-point (95% confidence interval: 0.59, 2.77) increase in the average depressive symptom score over follow-up and with a 1.97-point (95% confidence interval: 0.68, 3.24) increase in scores over the 2 subsequent years but not with later changes in symptoms. No association was detected in men. Accounting for potential selective attrition (using inverse probability weights) did not alter results. Hippocampal atrophy was associated with more subsequent depressive symptoms and with shorter-term worsening of symptoms in women.
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Affiliation(s)
| | - Rebecca Fuhrer
- Correspondence to Dr. Rebecca Fuhrer, Department of Epidemiology, Biostatistics, and Occupational Health, McGill University Faculty of Medicine, 1020 Pine Avenue West, Montreal, Quebec H3A 1A2 (e-mail: )
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47
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Alfred T, Ben-Shlomo Y, Cooper R, Hardy R, Cooper C, Deary IJ, Elliott J, Gunnell D, Harris SE, Kivimaki M, Kumari M, Martin RM, Power C, Sayer AA, Starr JM, Kuh D, Day INM. Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme. AGE (DORDRECHT, NETHERLANDS) 2014; 36:9673. [PMID: 25073452 PMCID: PMC4150901 DOI: 10.1007/s11357-014-9673-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2013] [Accepted: 06/18/2014] [Indexed: 06/03/2023]
Abstract
The APOE ε2/3/4 genotype has been associated with low-density lipoprotein cholesterol (LDL-C) and Alzheimer disease. However, evidence for associations with measures of cognitive performance in adults without dementia has been mixed, as it is for physical performance. Associations may also be evident in other genotypes implicated in LDL-C levels. As part of the Healthy Ageing across the Life Course (HALCyon) collaborative research programme, genotypic information was obtained for APOE ε2/3/4, rs515135 (APOB), rs2228671 (LDLR) and rs629301 (SORT1) from eight cohorts of adults aged between 44 and 90 + years. We investigated associations with four measures of cognitive (word recall, phonemic fluency, semantic fluency and search speed) and physical capability (grip strength, get up and go/walk speed, timed chair rises and ability to balance) using meta-analyses. Overall, little evidence for associations between any of the genotypes and measures of cognitive capability was observed (e.g. pooled beta for APOE ε4 effect on semantic fluency z score = -0.02; 95 % CI = -0.05 to 0.02; p value = 0.3; n = 18,796). However, there was borderline evidence within studies that negative effects of APOE ε4 on nonverbal ability measures become more apparent with age. Few genotypic associations were observed with physical capability measures. The findings from our large investigation of middle-aged to older adults in the general population suggest that effects of APOE on cognitive capability are at most modest and are domain- and age-specific, while APOE has little influence on physical capability. In addition, other LDL-C-related genotypes have little impact on these traits.
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Affiliation(s)
- Tamuno Alfred
- School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK,
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48
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Volume of the hippocampal subfields in healthy adults: differential associations with age and a pro-inflammatory genetic variant. Brain Struct Funct 2014; 220:2663-74. [PMID: 24947882 DOI: 10.1007/s00429-014-0817-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Accepted: 06/05/2014] [Indexed: 12/14/2022]
Abstract
The hippocampus is one of the most age-sensitive brain regions, yet the mechanisms of hippocampal shrinkage remain unclear. Recent studies suggest that hippocampal subfields are differentially vulnerable to aging and differentially sensitive to vascular risk. Promoters of inflammation are frequently proposed as major contributors to brain aging and vascular disease but their effects on hippocampal subfields are unknown. We examined the associations of hippocampal subfield volumes with age, a vascular risk factor (hypertension), and genetic polymorphisms associated with variation in pro-inflammatory cytokines levels (IL-1β C-511T and IL-6 C-174G) and risk for Alzheimer's disease (APOEε4) in healthy adult volunteers (N = 80; age = 22-82 years). Volumes of three hippocampal subfields, cornu ammonis (CA) 1-2, CA3-dentate gyrus, and the subiculum were manually measured on high-resolution magnetic resonance images. Advanced age was differentially associated with smaller volume of CA1-2, whereas carriers of the T allele of IL-1β C-511T polymorphism had smaller volume of all hippocampal subfields than CC homozygotes did. Neither of the other genetic variants, nor diagnosis of hypertension, was associated with any of the measured volumes. The results support the notion that volumes of age-sensitive brain regions may be affected by pro-inflammatory factors that may be targeted by therapeutic interventions.
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49
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Manning EN, Barnes J, Cash DM, Bartlett JW, Leung KK, Ourselin S, Fox NC. APOE ε4 is associated with disproportionate progressive hippocampal atrophy in AD. PLoS One 2014; 9:e97608. [PMID: 24878738 PMCID: PMC4039513 DOI: 10.1371/journal.pone.0097608] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2013] [Accepted: 04/22/2014] [Indexed: 11/30/2022] Open
Abstract
Objectives To investigate whether APOE ε4 carriers have higher hippocampal atrophy rates than non-carriers in Alzheimer's disease (AD), mild cognitive impairment (MCI) and controls, and if so, whether higher hippocampal atrophy rates are still observed after adjusting for concurrent whole-brain atrophy rates. Methods MRI scans from all available visits in ADNI (148 AD, 307 MCI, 167 controls) were used. MCI subjects were divided into “progressors” (MCI-P) if diagnosed with AD within 36 months or “stable” (MCI-S) if a diagnosis of MCI was maintained. A joint multi-level mixed-effect linear regression model was used to analyse the effect of ε4 carrier-status on hippocampal and whole-brain atrophy rates, adjusting for age, gender, MMSE and brain-to-intracranial volume ratio. The difference in hippocampal rates between ε4 carriers and non-carriers after adjustment for concurrent whole-brain atrophy rate was then calculated. Results Mean adjusted hippocampal atrophy rates in ε4 carriers were significantly higher in AD, MCI-P and MCI-S (p≤0.011, all tests) compared with ε4 non-carriers. After adjustment for whole-brain atrophy rate, the difference in mean adjusted hippocampal atrophy rate between ε4 carriers and non-carriers was reduced but remained statistically significant in AD and MCI-P. Conclusions These results suggest that the APOE ε4 allele drives atrophy to the medial-temporal lobe region in AD.
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Affiliation(s)
- Emily N. Manning
- Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
- * E-mail:
| | - Josephine Barnes
- Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
| | - David M. Cash
- Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
- Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Jonathan W. Bartlett
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Kelvin K. Leung
- Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
- Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Sebastien Ourselin
- Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
- Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Nick C. Fox
- Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
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50
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Taylor JL, Scanlon BK, Farrell M, Hernandez B, Adamson MM, Ashford JW, Noda A, Murphy GM, Weiner MW. APOE-epsilon4 and aging of medial temporal lobe gray matter in healthy adults older than 50 years. Neurobiol Aging 2014; 35:2479-2485. [PMID: 24929969 DOI: 10.1016/j.neurobiolaging.2014.05.011] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2013] [Revised: 04/23/2014] [Accepted: 05/11/2014] [Indexed: 12/31/2022]
Abstract
Atrophy of the hippocampus and surrounding temporal regions occurs in Alzheimer's disease (AD). APOE ε4, the major genetic risk factor for late-onset AD, has been associated with smaller volume in these regions before amyloidosis can be detected by AD biomarkers. To examine APOE ε4 effects in relation to aging, we performed a longitudinal magnetic resonance imaging study involving cognitively normal adults (25 APOE ε4 carriers and 31 ε3 homozygotes), initially aged 51-75 years. We used growth curve analyses, which can provide information about APOE ε4-related differences initially and later in life. Hippocampal volume was the primary outcome; nearby medial temporal regions were secondary outcomes. Brain-derived neurotrophic factor, val66met was a secondary covariate. APOE ε4 carriers had significantly smaller initial hippocampal volumes than ε3 homozygotes. Rate of hippocampal atrophy was not greater in the APOE ε4 group, although age-related atrophy was detected in the overall sample. The findings add to the growing evidence that effects of APOE ε4 on hippocampal size begin early in life, underscoring the importance of early interventions to increase reserve.
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Affiliation(s)
- Joy L Taylor
- Veterans Affairs Palo Alto Health Care System, Sierra-Pacific MIRECC, Palo Alto CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
| | - Blake K Scanlon
- Veterans Affairs Palo Alto Health Care System, Sierra-Pacific MIRECC, Palo Alto CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michelle Farrell
- Veterans Affairs Palo Alto Health Care System, Sierra-Pacific MIRECC, Palo Alto CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Beatriz Hernandez
- Veterans Affairs Palo Alto Health Care System, Sierra-Pacific MIRECC, Palo Alto CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Maheen M Adamson
- Veterans Affairs Palo Alto Health Care System, Sierra-Pacific MIRECC, Palo Alto CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - J Wesson Ashford
- Veterans Affairs Palo Alto Health Care System, Sierra-Pacific MIRECC, Palo Alto CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Art Noda
- Veterans Affairs Palo Alto Health Care System, Sierra-Pacific MIRECC, Palo Alto CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Greer M Murphy
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael W Weiner
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA; Department of Radiology, University of California, San Francisco, CA, USA
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