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Wefel JS, Deshmukh S, Brown PD, Grosshans DR, Sulman EP, Cerhan JH, Mehta MP, Khuntia D, Shi W, Mishra MV, Suh JH, Laack NN, Chen Y, Curtis AA, Laba JM, Elsayed A, Thakrar A, Pugh SL, Bruner DW. Impact of Apolipoprotein E Genotype on Neurocognitive Function in Patients With Brain Metastases: An Analysis of NRG Oncology's RTOG 0614. Int J Radiat Oncol Biol Phys 2024; 119:846-857. [PMID: 38101486 PMCID: PMC11162903 DOI: 10.1016/j.ijrobp.2023.12.004] [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: 04/24/2023] [Revised: 11/28/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023]
Abstract
PURPOSE Whole-brain radiation therapy (WBRT) is a common treatment for brain metastases and is frequently associated with decline in neurocognitive functioning (NCF). The e4 allele of the apolipoprotein E (APOE) gene is associated with increased risk of Alzheimer disease and NCF decline associated with a variety of neurologic diseases and insults. APOE carrier status has not been evaluated as a risk factor for onset time or extent of NCF impairment in patients with brain metastases treated with WBRT. METHODS AND MATERIALS NRG/Radiation Therapy Oncology Group 0614 treated adult patients with brain metastases with 37.5 Gy of WBRT (+/- memantine), performed longitudinal NCF testing, and included an optional blood draw for APOE analysis. NCF test results were compared at baseline and over time with mixed-effects models. A cause-specific Cox model for time to NCF failure was performed to assess the effects of treatment arm and APOE carrier status. RESULTS APOE results were available for 45% of patients (n = 227/508). NCF did not differ by APOE e4 carrier status at baseline. Mixed-effects modeling showed that APOE e4 carriers had worse memory after WBRT compared with APOE e4 noncarriers (Hopkins Verbal Learning Test-Revised total recall [least square mean difference, 0.63; P = .0074], delayed recognition [least square mean difference, 0.75; P = .023]). However, APOE e4 carrier status was not associated with time to NCF failure (hazard ratio, 0.86; 95% CI, 0.60-1.23; P = .40). Memantine delayed the time to NCF failure, regardless of carrier status (hazard ratio, 0.72; 95% CI, 0.52-1.01; P = .054). CONCLUSIONS APOE e4 carriers with brain metastases exhibited greater decline in learning and memory, executive function, and the Clinical Trial Battery Composite score after treatment with WBRT (+/- memantine), without acceleration of onset of difference in time to NCF failure.
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Affiliation(s)
- Jeffrey S Wefel
- University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Snehal Deshmukh
- NRG Oncology Statistics and Data Management Center/American College of Radiology, Philadelphia, Pennsylvania
| | | | | | - Erik P Sulman
- Laura and Isaac Perlmutter Cancer Center, New York University Langone, New York, New York
| | | | - Minesh P Mehta
- Baptist Hospital of Miami and Florida International University, Miami, Florida
| | | | - Wenyin Shi
- Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Mark V Mishra
- University of Maryland Medical Systems, Baltimore, Maryland
| | - John H Suh
- Cleveland Clinic Foundation, Cleveland, Ohio
| | | | | | - Amarinthia Amy Curtis
- Spartanburg Medical Center, Accruals for Upstate Carolina NCORP-Gibbs Regional Cancer Center, Spartanburg, South Carolina
| | - Joanna M Laba
- London Regional Cancer Program, Accruals for University of Western Ontario, London, Ontario, Canada
| | - Ahmed Elsayed
- Toledo Community Hospital Oncology Program CCOP, Toledo, Ohio
| | - Anu Thakrar
- John H. Stroger Jr Hospital of Cook County MBCCOP, Chicago, Illinois
| | - Stephanie L Pugh
- NRG Oncology Statistics and Data Management Center/American College of Radiology, Philadelphia, Pennsylvania
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Peterson A, Sathe A, Zaras D, Yang Y, Durant A, Deters KD, Shashikumar N, Pechman KR, Kim ME, Gao C, Khairi NM, Li Z, Yao T, Huo Y, Dumitrescu L, Gifford KA, Wilson JE, Cambronero F, Risacher SL, Beason-Held LL, An Y, Arfanakis K, Erus G, Davatzikos C, Tosun D, Toga AW, Thompson PM, Mormino EC, Zhang P, Schilling K, Albert M, Kukull W, Biber SA, Landman BA, Johnson SC, Schneider J, Barnes LL, Bennett DA, Jefferson AL, Resnick SM, Saykin AJ, Hohman TJ, Archer DB. Sex, racial, and APOE-ε4 allele differences in longitudinal white matter microstructure in multiple cohorts of aging and Alzheimer's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.10.598357. [PMID: 38915636 PMCID: PMC11195046 DOI: 10.1101/2024.06.10.598357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
INTRODUCTION The effects of sex, race, and Apolipoprotein E (APOE) - Alzheimer's disease (AD) risk factors - on white matter integrity are not well characterized. METHODS Diffusion MRI data from nine well-established longitudinal cohorts of aging were free-water (FW)-corrected and harmonized. This dataset included 4,702 participants (age=73.06 ± 9.75) with 9,671 imaging sessions over time. FW and FW-corrected fractional anisotropy (FAFWcorr) were used to assess differences in white matter microstructure by sex, race, and APOE-ε4 carrier status. RESULTS Sex differences in FAFWcorr in association and projection tracts, racial differences in FAFWcorr in projection tracts, and APOE-ε4 differences in FW limbic and occipital transcallosal tracts were most pronounced. DISCUSSION There are prominent differences in white matter microstructure by sex, race, and APOE-ε4 carrier status. This work adds to our understanding of disparities in AD. Additional work to understand the etiology of these differences is warranted.
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Affiliation(s)
- Amalia Peterson
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
| | - Aditi Sathe
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Dimitrios Zaras
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Yisu Yang
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Alaina Durant
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Kacie D. Deters
- Department of Integrative Biology and Physiology, University of California, Los Angeles
| | - Niranjana Shashikumar
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Kimberly R. Pechman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Michael E. Kim
- Department of Computer Science, Vanderbilt University, Nashville, TN
| | - Chenyu Gao
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN
| | - Nazirah Mohd Khairi
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN
| | - Zhiyuan Li
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN
| | - Tianyuan Yao
- Department of Computer Science, Vanderbilt University, Nashville, TN
| | - Yuankai Huo
- Department of Computer Science, Vanderbilt University, Nashville, TN
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Katherine A. Gifford
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
| | - Jo Ellen Wilson
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN
- Veteran‘s Affairs, Geriatric Research, Education and Clinical Center, Tennessee Valley Healthcare System
| | - Francis Cambronero
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Shannon L. Risacher
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
- Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN
| | - Lori L. Beason-Held
- Laboratory for Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Yang An
- Laboratory for Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL
- Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL
| | - Guray Erus
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | | | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Arthur W. Toga
- Laboratory of Neuroimaging, USC Stevens Institute of Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, CA
| | - Elizabeth C. Mormino
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Panpan Zhang
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Kurt Schilling
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN2
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN
| | | | | | | | - Marilyn Albert
- Department of Neurology, Johns Hopkins School of Medicine Baltimore, MD
| | - Walter Kukull
- National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Sarah A. Biber
- National Alzheimer’s Coordinating Center, University of Washington, Seattle, WA
| | - Bennett A. Landman
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
- Department of Computer Science, Vanderbilt University, Nashville, TN
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, TN
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN2
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin, Madison, WI
| | - Julie Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL
| | - Lisa L. Barnes
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL
| | - Angela L. Jefferson
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
- Department of Computer Science, Vanderbilt University, Nashville, TN
| | - Susan M. Resnick
- Laboratory for Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
- Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Derek B. Archer
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, TN
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Wang H, Shi L, Luo S, Luo Y, Xu C, Qiu G, Guo Q, Chen C, Lu T, Liu K, Zhu F. Associations of apolipoprotein E ε4 allele, regional cerebral blood flow, and serum liver function markers in patients with cognitive impairment. Front Neurol 2024; 15:1345705. [PMID: 38628697 PMCID: PMC11018914 DOI: 10.3389/fneur.2024.1345705] [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: 11/28/2023] [Accepted: 03/04/2024] [Indexed: 04/19/2024] Open
Abstract
Introduction The ε4 allele of the apolipoprotein E gene (APOE4) is expressed abundantly in both the brain and peripheral circulation as a genetic risk factor for Alzheimer's disease (AD). Cerebral blood flow (CBF) dysfunction is an essential feature of AD, and the liver plays an important role in the pathogenesis of dementia. However, the associations of APOE4 with CBF and liver function markers in patients with cognitive impairment remains unclear. We aimed to evaluate the associations of APOE4 with CBF measured by arterial spin labeling (ASL) magnetic resonance imaging (MRI) and serum liver function markers in participants who were diagnosed with cognitive impairment. Methods Fourteen participants with AD and sixteen with amnestic mild cognitive impairment (MCI) were recruited. In addition to providing comprehensive clinical information, all patients underwent laboratory tests and MRI. All participants were divided into carriers and noncarriers of the ε4 allele, and T-tests and Mann-Whitney U tests were used to observe the differences between APOE4 carriers and noncarriers in CBF and liver function markers. Results Regarding regional cerebral blood flow (rCBF), APOE4 carriers showed hyperperfusion in the bilateral occipital cortex, bilateral thalamus, and left precuneus and hypoperfusion in the right lateral temporal cortex when compared with noncarriers. Regarding serum liver function markers, bilirubin levels (including total, direct, and indirect) were lower in APOE4 carriers than in noncarriers. Conclusion APOE4 exerts a strong effect on CBF dysfunction by inheritance, representing a risk factor for AD. APOE4 may be related to bilirubin metabolism, potentially providing specific neural targets for the diagnosis and treatment of AD.
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Affiliation(s)
- Hao Wang
- Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Lin Shi
- BrainNow Research Institute, Guangdong, China
| | - Shimei Luo
- Department of Nuclear Magnetic Resonance, The Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen, China
| | - Yishan Luo
- BrainNow Research Institute, Guangdong, China
| | - Chunyan Xu
- Cognitive Impairment Ward of Neurology Department, The Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen, China
| | - Guozhen Qiu
- Cognitive Impairment Ward of Neurology Department, The Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen, China
| | - Qiwen Guo
- Cognitive Impairment Ward of Neurology Department, The Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen, China
| | - Chunchun Chen
- Cognitive Impairment Ward of Neurology Department, The Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen, China
| | - Taikun Lu
- Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Kangding Liu
- Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Feiqi Zhu
- Cognitive Impairment Ward of Neurology Department, The Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen, China
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Merritt VC, Maihofer AX, Gasperi M, Chanfreau-Coffinier C, Stein MB, Panizzon MS, Hauger RL, Logue MW, Delano-Wood L, Nievergelt CM. Genome-wide association study of traumatic brain injury in U.S. military veterans enrolled in the VA million veteran program. Mol Psychiatry 2024; 29:97-111. [PMID: 37875548 DOI: 10.1038/s41380-023-02304-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 09/21/2023] [Accepted: 10/11/2023] [Indexed: 10/26/2023]
Abstract
Large-scale genetic studies of traumatic brain injury (TBI) are lacking; thus, our understanding of the influence of genetic factors on TBI risk and recovery is incomplete. This study aimed to conduct a genome-wide association study (GWAS) of TBI in VA Million Veteran Program (MVP) enrollees. Participants included a multi-ancestry cohort (European, African, and Hispanic ancestries; N = 304,485; 111,494 TBI cases, 192,991 controls). TBI was assessed using MVP survey data and International Classification of Diseases (ICD) codes from the Veterans Health Administration's electronic health record. GWAS was performed using logistic regression in PLINK, and meta-analyzed in METAL. FUMA was used for post-GWAS analysis. Genomic structural equation modeling (gSEM) was conducted to investigate underlying genetic associations with TBI, and bivariate MiXeR was used to estimate phenotype specific and shared polygenicity. SNP-based heritability was 0.060 (SE = 0.004, p = 7.83×10-66). GWAS analysis identified 15 genome-wide significant (GWS) loci at p < 5×10-8. Gene-based analyses revealed 14 gene-wide significant genes; top genes included NCAM1, APOE, FTO, and FOXP2. Gene tissue expression analysis identified the brain as significantly enriched, particularly in the frontal cortex, anterior cingulate cortex, and nucleus accumbens. Genetic correlations with TBI were significant for risk-taking behaviors and psychiatric disorders, but generally not significant for the neurocognitive variables investigated. gSEM analysis revealed stronger associations with risk-taking traits than with psychiatric traits. Finally, the genetic architecture of TBI was similar to polygenic psychiatric disorders. Neurodegenerative disorders including Alzheimer's and Parkinson's disease showed much less polygenicity, however, the proportion of shared variance with TBI was high. This first well-powered GWAS of TBI identified 15 loci including genes relevant to TBI biology, and showed that TBI is a heritable trait with comparable genetic architecture and high genetic correlation with psychiatric traits. Our findings set the stage for future TBI GWASs that focus on injury severity and diversity and chronicity of symptom sequelae.
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Affiliation(s)
- Victoria C Merritt
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA.
| | - Adam X Maihofer
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Marianna Gasperi
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
| | | | - Murray B Stein
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- School of Public Health, University of California San Diego, La Jolla, CA, USA
| | - Matthew S Panizzon
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Richard L Hauger
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Mark W Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
- Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA
| | - Lisa Delano-Wood
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
| | - Caroline M Nievergelt
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
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Sparks S, Pinto J, Hayes G, Spitschan M, Bulte DP. The impact of Alzheimer's disease risk factors on the pupillary light response. Front Neurosci 2023; 17:1248640. [PMID: 37650103 PMCID: PMC10463762 DOI: 10.3389/fnins.2023.1248640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 07/31/2023] [Indexed: 09/01/2023] Open
Abstract
Alzheimer's disease (AD) is the leading cause of dementia, and its prevalence is increasing and is expected to continue to increase over the next few decades. Because of this, there is an urgent requirement to determine a way to diagnose the disease, and to target interventions to delay and ideally stop the onset of symptoms, specifically those impacting cognition and daily livelihood. The pupillary light response (PLR) is controlled by the sympathetic and parasympathetic branches of the autonomic nervous system, and impairments to the pupillary light response (PLR) have been related to AD. However, most of these studies that assess the PLR occur in patients who have already been diagnosed with AD, rather than those who are at a higher risk for the disease but without a diagnosis. Determining whether the PLR is similarly impaired in subjects before an AD diagnosis is made and before cognitive symptoms of the disease begin, is an important step before using the PLR as a diagnostic tool. Specifically, identifying whether the PLR is impaired in specific at-risk groups, considering both genetic and non-genetic risk factors, is imperative. It is possible that the PLR may be impaired in association with some risk factors but not others, potentially indicating different pathways to neurodegeneration that could be distinguished using PLR. In this work, we review the most common genetic and lifestyle-based risk factors for AD and identify established relationships between these risk factors and the PLR. The evidence here shows that many AD risk factors, including traumatic brain injury, ocular and intracranial hypertension, alcohol consumption, depression, and diabetes, are directly related to changes in the PLR. Other risk factors currently lack sufficient literature to make any conclusions relating directly to the PLR but have shown links to impairments in the parasympathetic nervous system; further research should be conducted in these risk factors and their relation to the PLR.
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Affiliation(s)
- Sierra Sparks
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Joana Pinto
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Genevieve Hayes
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Manuel Spitschan
- TUM Department of Sport and Health Sciences (TUM SG), Chronobiology and Health, Technical University of Munich, Munich, Germany
- TUM Institute for Advanced Study (TUM-IAS), Technical University of Munich, Garching, Germany
- Max Planck Institute for Biological Cybernetics, Translational Sensory and Circadian Neuroscience, Tübingen, Germany
| | - Daniel P. Bulte
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
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Navarro C, Salazar J, Díaz MP, Chacin M, Santeliz R, Vera I, D′Marco L, Parra H, Bernal MC, Castro A, Escalona D, García-Pacheco H, Bermúdez V. Intrinsic and environmental basis of aging: A narrative review. Heliyon 2023; 9:e18239. [PMID: 37576279 PMCID: PMC10415626 DOI: 10.1016/j.heliyon.2023.e18239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 06/26/2023] [Accepted: 07/12/2023] [Indexed: 08/15/2023] Open
Abstract
Longevity has been a topic of interest since the beginnings of humanity, yet its aetiology and precise mechanisms remain to be elucidated. Aging is currently viewed as a physiological phenomenon characterized by the gradual degeneration of organic physiology and morphology due to the passage of time where both external and internal stimuli intervene. The influence of intrinsic factors, such as progressive telomere shortening, genome instability due to mutation buildup, the direct or indirect actions of age-related genes, and marked changes in epigenetic, metabolic, and mitochondrial patterns constitute a big part of its underlying endogenous mechanisms. On the other hand, several psychosocial and demographic factors, such as diet, physical activity, smoking, and drinking habits, may have an even more significant impact on shaping the aging process. Consequentially, implementing dietary and exercise patterns has been proposed as the most viable alternative strategy for attenuating the most typical degenerative aging changes, thus increasing the likelihood of prolonging lifespan and achieving successful aging.
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Affiliation(s)
- Carla Navarro
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Juan Salazar
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - María P. Díaz
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Maricarmen Chacin
- Universidad Simón Bolívar, Facultad de Ciencias de la Salud, Barranquilla 080001, Colombia
| | - Raquel Santeliz
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Ivana Vera
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Luis D′Marco
- Universidad Cardenal Herrera-CEU Medicine Department, CEU Universities, 46115 Valencia, Spain
| | - Heliana Parra
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | | | - Ana Castro
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Daniel Escalona
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Henry García-Pacheco
- Universidad del Zulia, Facultad de Medicina, Departamento de Cirugía. Hospital General del Sur “Dr. Pedro Iturbe”. Maracaibo, Venezuela
- Unidad de Cirugía para la Obesidad y Metabolismo (UCOM). Maracaibo, Venezuela
| | - Valmore Bermúdez
- Universidad Simón Bolívar, Facultad de Ciencias de la Salud, Barranquilla 080001, Colombia
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Avelar-Pereira B, Belloy ME, O'Hara R, Hosseini SMH. Decoding the heterogeneity of Alzheimer's disease diagnosis and progression using multilayer networks. Mol Psychiatry 2023; 28:2423-2432. [PMID: 36539525 PMCID: PMC10279806 DOI: 10.1038/s41380-022-01886-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 09/19/2022] [Accepted: 11/10/2022] [Indexed: 12/24/2022]
Abstract
Alzheimer's disease (AD) is a multifactorial and heterogeneous disorder, which makes early detection a challenge. Studies have attempted to combine biomarkers to improve AD detection and predict progression. However, most of the existing work reports results in parallel or compares normalized findings but does not analyze data simultaneously. We tested a multi-dimensional network framework, applied to 490 subjects (cognitively normal [CN] = 147; mild cognitive impairment [MCI] = 287; AD = 56) from ADNI, to create a single model capable of capturing the heterogeneity and progression of AD. First, we constructed subject similarity networks for structural magnetic resonance imaging, amyloid-β positron emission tomography, cerebrospinal fluid, cognition, and genetics data and then applied multilayer community detection to find groups with shared similarities across modalities. Individuals were also followed-up longitudinally, with AD subjects having, on average, 4.5 years of follow-up. Our findings show that multilayer community detection allows for accurate identification of present and future AD (≈90%) and is also able to identify cases that were misdiagnosed clinically. From all MCI participants who developed AD or reverted to CN, the multilayer model correctly identified 90.8% and 88.5% of cases respectively. We observed similar subtypes across the full sample and when examining multimodal data from subjects with no AD pathology (i.e., amyloid negative). Finally, these results were also validated using an independent testing set. In summary, the multilayer framework is successful in detecting AD and provides unique insight into the heterogeneity of the disease by identifying subtypes that share similar multidisciplinary profiles of neurological, cognitive, pathological, and genetics information.
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Affiliation(s)
- Bárbara Avelar-Pereira
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, 94304, USA.
| | - Michael E Belloy
- Department of Neurology and Neurological Sciences, School of Medicine, Stanford University, Stanford, CA, 94304, USA
| | - Ruth O'Hara
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, 94304, USA
| | - S M Hadi Hosseini
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, 94304, USA.
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8
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Salazar J, Durán P, Díaz MP, Chacín M, Santeliz R, Mengual E, Gutiérrez E, León X, Díaz A, Bernal M, Escalona D, Hernández LAP, Bermúdez V. Exploring the Relationship between the Gut Microbiota and Ageing: A Possible Age Modulator. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20105845. [PMID: 37239571 DOI: 10.3390/ijerph20105845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/20/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023]
Abstract
The gut microbiota (GM) has been the subject of intense research in recent years. Therefore, numerous factors affecting its composition have been thoroughly examined, and with them, their function and role in the individual's systems. The gut microbiota's taxonomical composition dramatically impacts older adults' health status. In this regard, it could either extend their life expectancy via the modulation of metabolic processes and the immune system or, in the case of dysbiosis, predispose them to age-related diseases, including bowel inflammatory and musculoskeletal diseases and metabolic and neurological disorders. In general, the microbiome of the elderly tends to present taxonomic and functional changes, which can function as a target to modulate the microbiota and improve the health of this population. The GM of centenarians is unique, with the faculty-promoting metabolic pathways capable of preventing and counteracting the different processes associated with age-related diseases. The molecular mechanisms by which the microbiota can exhibit anti-ageing properties are mainly based on anti-inflammatory and antioxidant actions. This review focuses on analysing the current knowledge of gut microbiota characteristics and modifiers, its relationship with ageing, and the GM-modulating approaches to increase life expectancy.
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Affiliation(s)
- Juan Salazar
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Pablo Durán
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - María P Díaz
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Maricarmen Chacín
- Centro de Investigaciones en Ciencias de la Vida, Universidad Simón Bolívar, Barranquilla 080002, Colombia
- Sociedad Internacional de Rejuvenecimiento Facial No Quirúrgico (SIRF), Barranquilla 080002, Colombia
| | - Raquel Santeliz
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Edgardo Mengual
- Biological Research Institute "Doctors Orlando Castejon and Haydee V Castejon", Faculty of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Emma Gutiérrez
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Xavier León
- Instituto Ecuatoriano de Seguridad Social, Cuenca 010101, Ecuador
| | - Andrea Díaz
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | - Marycarlota Bernal
- Facultad de Ingenierias, Universidad Simón Bolívar, Cúcuta 540001, Colombia
| | - Daniel Escalona
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4001, Venezuela
| | | | - Valmore Bermúdez
- Centro de Investigaciones en Ciencias de la Vida, Universidad Simón Bolívar, Barranquilla 080002, Colombia
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9
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Guo X, Chen K, Chen Y, Xiong C, Su Y, Yao L, Reiman EM. A Computational Monte Carlo Simulation Strategy to Determine the Temporal Ordering of Abnormal Age Onset Among Biomarkers of Alzheimer's Disease. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022; 19:2613-2622. [PMID: 34428151 PMCID: PMC9588284 DOI: 10.1109/tcbb.2021.3106939] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
To quantitatively determining the temporal ordering of abnormal age onsets (AAO) among various biomarkers for Alzheimer's disease (AD), we introduced a computational Monte-Carlo simulation (CMCS) to statistically examine such ordering of an AAO pair or over all AAOs. The CMCS 1) simulates longitudinal data, estimates AAO for each iteration, and finally assesses the type-I error of an AAO pair or all AAO ordering. Using hippocampus volume (VHC), cerebral glucose hypometabolic convergence index (HCI), plasma neurofilament light (NfL), mini-mental state exam (MMSE), the auditory verbal learning test-long term memory (AVLT-LTM), short term memory (AVLT-STM) and clinical-dementia rating sum of box scale (CDR-SOB) from 382 mild cognitive impairment converters and non-converters, the CMCS estimated type-I error for the earlier AAO of VHC, AVLT_STM and AVLT_LTM each than MMSE was significant (p<0.002). The type-I error for the overall AAO temporal ordering of VHC ≤ AVLT_STM ≤ AVLT_LTM < HCI ≤ MMSE ≤ CDR-SOB ≤ NfL was p = 0.012. These findings showed that our CMCS is capable of providing statistical inferences for quantifying AAO ordering which has important implications in advancing our understanding of AD.
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10
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Ponomareva NV, Andreeva TV, Protasova M, Konovalov RN, Krotenkova MV, Kolesnikova EP, Malina DD, Kanavets EV, Mitrofanov AA, Fokin VF, Illarioshkin SN, Rogaev EI. Genetic association of apolipoprotein E genotype with EEG alpha rhythm slowing and functional brain network alterations during normal aging. Front Neurosci 2022; 16:931173. [PMID: 35979332 PMCID: PMC9376365 DOI: 10.3389/fnins.2022.931173] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/27/2022] [Indexed: 12/02/2022] Open
Abstract
The ε4 allele of the apolipoprotein E (APOE4+) genotype is a major genetic risk factor for Alzheimer’s disease (AD), but the mechanisms underlying its influence remain incompletely understood. The study aimed to investigate the possible effect of the APOE genotype on spontaneous electroencephalogram (EEG) alpha characteristics, resting-state functional MRI (fMRI) connectivity (rsFC) in large brain networks and the interrelation of alpha rhythm and rsFC characteristics in non-demented adults during aging. We examined the EEG alpha subband’s relative power, individual alpha peak frequency (IAPF), and fMRI rsFC in non-demented volunteers (age range 26–79 years) stratified by the APOE genotype. The presence of the APOE4+ genotype was associated with lower IAPF and lower relative power of the 11–13 Hz alpha subbands. The age related decrease in EEG IAPF was more pronounced in the APOE4+ carriers than in the APOE4+ non-carriers (APOE4-). The APOE4+ carriers had a stronger fMRI positive rsFC of the interhemispheric regions of the frontoparietal, lateral visual and salience networks than the APOE4– individuals. In contrast, the negative rsFC in the network between the left hippocampus and the right posterior parietal cortex was reduced in the APOE4+ carriers compared to the non-carriers. Alpha rhythm slowing was associated with the dysfunction of hippocampal networks. Our results show that in adults without dementia APOE4+ genotype is associated with alpha rhythm slowing and that this slowing is age-dependent. Our data suggest predominant alterations of inhibitory processes in large-scale brain network of non-demented APOE4+ carriers. Moreover, dysfunction of large-scale hippocampal network can influence APOE-related alpha rhythm vulnerability.
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Affiliation(s)
- Natalya V. Ponomareva
- Research Center of Neurology, Moscow, Russia
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
- *Correspondence: Natalya V. Ponomareva,
| | - Tatiana V. Andreeva
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), Moscow, Russia
| | - Maria Protasova
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), Moscow, Russia
| | | | | | | | | | | | | | | | | | - Evgeny I. Rogaev
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), Moscow, Russia
- Brudnick Neuropsychiatric Research Institute (BNRI), University of Massachusetts Medical School, Worcester, MA, United States
- Evgeny I. Rogaev,
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11
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Abstract
Introduction APOE is one of the prominent genes involved in the increased risk of developing Alzheimer's disease, but its effect on cognition in patients who are not yet diagnosed with dementia or mild cognitive impairment is relatively understudied. We aimed to examine the effect of ApoE4 on cognitive performance in unimpaired middle-aged and elderly persons. Materials and methods Our study included 51 cognitively unimpaired participants divided into ApoE4 positive patients and controls by APOE genotyping. The following clinical and demographic characteristics were collected: age, gender, education, social status, BMI, history of medical or psychiatric disorders. Patients with current anxiety or depressive disorders were excluded. Cognitive function was evaluated using MMSE, Rey Auditory-Verbal Learning Test, Rey Complex Figure test, TMT A and B and verbal fluency test. The two groups were matched for age, sex, and education. Categorial data was analyzed using Chi-Square and continuous data using Student-T test (parametric variables) or Mann-Whitney test (non-parametric variables). Statistical significance was considered at p≤.05. Results There were 11 (21.6%) ApoE4 positive patients and 40 (78.4%) controls. There were no significant differences between the groups regarding socio-demographic and clinical characteristics. The ApoE4 positive group performed slightly worse on cognitive evaluations compared to controls but only the mean scores of the Rey Complex Figure Test - Memory reached statistical significance (p=.019). Conclusion Cognitive evaluation generally rendered lower scores in the ApoE4 group compared to the control group. However, only visual memory impairment scores were significantly lower in the ApoE4 positive individuals than in controls.
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12
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Abubakar MB, Sanusi KO, Ugusman A, Mohamed W, Kamal H, Ibrahim NH, Khoo CS, Kumar J. Alzheimer’s Disease: An Update and Insights Into Pathophysiology. Front Aging Neurosci 2022; 14:742408. [PMID: 35431894 PMCID: PMC9006951 DOI: 10.3389/fnagi.2022.742408] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 02/25/2022] [Indexed: 12/17/2022] Open
Abstract
Alzheimer’s disease (AD) is an irreversible brain disorder associated with slow, progressive loss of brain functions mostly in older people. The disease processes start years before the symptoms are manifested at which point most therapies may not be as effective. In the hippocampus, the key proteins involved in the JAK2/STAT3 signaling pathway, such as p-JAK2-Tyr1007 and p-STAT3-Tyr705 were found to be elevated in various models of AD. In addition to neurons, glial cells such as astrocytes also play a crucial role in the progression of AD. Without having a significant effect on tau and amyloid pathologies, the JAK2/STAT3 pathway in reactive astrocytes exhibits a behavioral impact in the experimental models of AD. Cholinergic atrophy in AD has been traced to a trophic failure in the NGF metabolic pathway, which is essential for the survival and maintenance of basal forebrain cholinergic neurons (BFCN). In AD, there is an alteration in the conversion of the proNGF to mature NGF (mNGF), in addition to an increase in degradation of the biologically active mNGF. Thus, the application of exogenous mNGF in experimental studies was shown to improve the recovery of atrophic BFCN. Furthermore, it is now coming to light that the FGF7/FGFR2/PI3K/Akt signaling pathway mediated by microRNA-107 is also involved in AD pathogenesis. Vascular dysfunction has long been associated with cognitive decline and increased risk of AD. Vascular risk factors are associated with higher tau and cerebral beta-amyloid (Aβ) burden, while synergistically acting with Aβ to induce cognitive decline. The apolipoprotein E4 polymorphism is not just one of the vascular risk factors, but also the most prevalent genetic risk factor of AD. More recently, the research focus on AD shifted toward metabolisms of various neurotransmitters, major and minor nutrients, thus giving rise to metabolomics, the most important “omics” tool for the diagnosis and prognosis of neurodegenerative diseases based on an individual’s metabolome. This review will therefore proffer a better understanding of novel signaling pathways associated with neural and glial mechanisms involved in AD, elaborate potential links between vascular dysfunction and AD, and recent developments in “omics”-based biomarkers in AD.
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Affiliation(s)
- Murtala Bello Abubakar
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Kamaldeen Olalekan Sanusi
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Azizah Ugusman
- Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
| | - Wael Mohamed
- Department of Basic Medical Science, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Malaysia
- Department of Clinical Pharmacology, Faculty of Medicine, Menoufia University, Shebin El-Kom, Egypt
| | - Haziq Kamal
- Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
| | - Nurul Husna Ibrahim
- Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
| | - Ching Soong Khoo
- Neurology Unit, Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
| | - Jaya Kumar
- Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
- *Correspondence: Jaya Kumar,
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13
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Ma JP, Robbins CB, Lee JM, Soundararajan S, Stinnett SS, Agrawal R, Plassman BL, Lad EM, Whitson H, Grewal DS, Fekrat S. Longitudinal analysis of the retina and choroid in cognitively normal individuals at higher genetic risk for Alzheimer disease. Ophthalmol Retina 2022; 6:607-619. [PMID: 35283324 DOI: 10.1016/j.oret.2022.03.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 02/18/2022] [Accepted: 03/03/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE To assess baseline differences and longitudinal rate of change in retinal and choroidal imaging parameters between APOE ε4 carriers and non-carriers with normal cognition. DESIGN Prospective study. SUBJECTS 413 eyes of 218 individuals with normal cognition aged ≥55 years with known APOE status (98 ε4 carriers, 120 non-carriers). Exclusion criteria included diabetes mellitus, uncontrolled hypertension, glaucoma, and vitreoretinal or neurodegenerative disease. METHODS Optical coherence tomography (OCT) and OCT angiography (OCTA) was performed at baseline and at 2 years [Zeiss Cirrus HD-OCT 5000 with AngioPlex (Zeiss Meditec, Dublin, CA)]. Groups were compared using sex- and age-adjusted generalized estimating equations. MAIN OUTCOME MEASURES OCT: retinal nerve fiber layer thickness, macular ganglion cell-inner plexiform layer thickness, central subfield thickness (CST), choroidal vascularity index. OCTA: foveal avascular zone area, perfusion density (PD), vessel density, peripapillary capillary perfusion density and capillary flux index (CFI). Rate of change per year was calculated. RESULTS At baseline, ε4 carriers demonstrated decreased CST (p=0.018), PD in the 6mm Early Treatment Diabetic Retinopathy Study (ETDRS) circle (p=0.049), and temporal CFI (p=0.047). Seventy-one ε4 carriers and 78 non-carriers returned at 2 years; at follow-up, the 6mm ETDRS circle (p=0.05) and outer ring (p=0.049) showed decreased PD in ε4 carriers, with no differences in rates of change between groups (all p>0.05). CONCLUSIONS There were measured differences in CST, PD, and peripapillary CFI between APOE ε4 carriers and non-carriers with normal cognition. Larger and longer-term studies may further elucidate the potential prognostic value of these findings.
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Affiliation(s)
- Justin P Ma
- iMIND Research Group, Duke University School of Medicine, Durham, NC, USA; Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA
| | - Cason B Robbins
- iMIND Research Group, Duke University School of Medicine, Durham, NC, USA; Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA
| | - Jia Min Lee
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore
| | - Srinath Soundararajan
- iMIND Research Group, Duke University School of Medicine, Durham, NC, USA; Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA
| | - Sandra S Stinnett
- iMIND Research Group, Duke University School of Medicine, Durham, NC, USA; Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA
| | - Rupesh Agrawal
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Singapore Eye Research Institute, Singapore; Duke NUS Medical School, Singapore
| | - Brenda L Plassman
- iMIND Research Group, Duke University School of Medicine, Durham, NC, USA; Departments of Psychiatry and Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Eleonora M Lad
- Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA
| | - Heather Whitson
- Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA
| | - Dilraj S Grewal
- iMIND Research Group, Duke University School of Medicine, Durham, NC, USA; Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA
| | - Sharon Fekrat
- iMIND Research Group, Duke University School of Medicine, Durham, NC, USA; Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
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14
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Apolipoprotein e (APOE) ε4 genotype influences memory performance following remote traumatic brain injury in U.S. military service members and veterans. Brain Cogn 2021; 154:105790. [PMID: 34487993 DOI: 10.1016/j.bandc.2021.105790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 08/27/2021] [Accepted: 08/29/2021] [Indexed: 10/20/2022]
Abstract
The purpose of this study was to examine the association between the apolipoprotein E (APOE) ε4 allele and neurocognitive functioning following traumatic brain injury (TBI) in military service members and veterans (SMVs). Participants included 176 SMVs with a history of remote TBI (≥1 year post-injury), categorized into mild (n = 100), moderate (n = 40), and severe (n = 36) TBI groups. Participants completed a neuropsychological assessment and APOE genotyping (n = 46 ε4+, n = 130 ε4-). Neurocognitive composite scores representing memory, executive functioning, and visual processing speed were computed. ANCOVAs adjusting for race, education, combat exposure, and PTSD symptom severity showed a significant main effect of ε4 on the memory composite, such that ε4+ SMVs exhibited poorer memory performance than ε4- SMVs. When ε2 allele carriers were removed from the analyses, associations with memory were strengthened, demonstrating a possible protective effect of the ε2 allele. No main effect of TBI group was identified on any cognitive composite, nor were there any significant TBI group × ε4 status interactions for any cognitive composite. Future studies with larger samples are needed to verify these findings, but our results suggest an important relationship between ε4 status and memory functioning following remote TBI of all severities.
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15
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Caspers S, Röckner ME, Jockwitz C, Bittner N, Teumer A, Herms S, Hoffmann P, Nöthen MM, Moebus S, Amunts K, Cichon S, Mühleisen TW. Pathway-Specific Genetic Risk for Alzheimer's Disease Differentiates Regional Patterns of Cortical Atrophy in Older Adults. Cereb Cortex 2021; 30:801-811. [PMID: 31402375 DOI: 10.1093/cercor/bhz127] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 04/30/2019] [Accepted: 05/18/2019] [Indexed: 11/13/2022] Open
Abstract
Brain aging is highly variable and represents a challenge to delimit aging from disease processes. Moreover, genetic factors may influence both aging and disease. Here we focused on this issue and investigated effects of multiple genetic loci previously identified to be associated with late-onset Alzheimer's disease (AD) on brain structure of older adults from a population sample. We calculated a genetic risk score (GRS) using genome-wide significant single-nucleotide polymorphisms from genome-wide association studies of AD and tested its effect on cortical thickness (CT). We observed a common pattern of cortical thinning (right inferior frontal, left posterior temporal, medial occipital cortex). To identify CT changes by specific biological processes, we subdivided the GRS effect according to AD-associated pathways and performed follow-up analyses. The common pattern from the main analysis was further differentiated by pathway-specific effects yielding a more bilateral pattern. Further findings were located in the superior parietal and mid/anterior cingulate regions representing 2 unique pathway-specific patterns. All patterns, except the superior parietal pattern, were influenced by apolipoprotein E. Our step-wise approach revealed atrophy patterns that partially resembled imaging findings in early stages of AD. Our study provides evidence that genetic burden for AD contributes to structural brain variability in normal aging.
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Affiliation(s)
- Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, D-52428 Jülich, Germany.,Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Melanie E Röckner
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, D-52428 Jülich, Germany.,Institute of Human Genetics, University Hospital Bonn, Bonn, Germany
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, D-52428 Jülich, Germany.,JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Medical Faculty, Aachen, Germany
| | - Nora Bittner
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, D-52428 Jülich, Germany.,Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Herms
- Institute of Human Genetics, University Hospital Bonn, Bonn, Germany.,Department of Biomedicine, University of Basel, Basel, Switzerland.,Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Per Hoffmann
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, D-52428 Jülich, Germany.,Institute of Human Genetics, University Hospital Bonn, Bonn, Germany.,Department of Biomedicine, University of Basel, Basel, Switzerland.,Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, Bonn, Germany.,Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Katrin Amunts
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, D-52428 Jülich, Germany.,JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany.,C. & O. Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, D-52428 Jülich, Germany.,Institute of Human Genetics, University Hospital Bonn, Bonn, Germany.,Department of Biomedicine, University of Basel, Basel, Switzerland.,Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, D-52428 Jülich, Germany.,Department of Biomedicine, University of Basel, Basel, Switzerland.,C. & O. Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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16
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Goltermann J, Repple J, Redlich R, Dohm K, Flint C, Grotegerd D, Waltemate L, Lemke H, Fingas SM, Meinert S, Enneking V, Hahn T, Bauer J, Schmitt S, Meller T, Stein F, Brosch K, Steinsträter O, Jansen A, Krug A, Nenadić I, Baune BT, Rietschel M, Witt S, Forstner AJ, Nöthen M, Johnen A, Alferink J, Kircher T, Dannlowski U, Opel N. Apolipoprotein E homozygous ε4 allele status: Effects on cortical structure and white matter integrity in a young to mid-age sample. Eur Neuropsychopharmacol 2021; 46:93-104. [PMID: 33648793 DOI: 10.1016/j.euroneuro.2021.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 01/04/2021] [Accepted: 02/09/2021] [Indexed: 11/16/2022]
Abstract
Apolipoprotein E (APOE) genotype is the strongest single gene predictor of Alzheimer's disease (AD) and has been frequently associated with AD-related brain structural alterations before the onset of dementia. While previous research has primarily focused on hippocampal morphometry in relation to APOE, sporadic recent findings have questioned the specificity of the hippocampus and instead suggested more global effects on the brain. With the present study we aimed to investigate associations between homozygous APOE ε4 status and cortical gray matter structure as well as white matter microstructure. In our study, we contrasted n = 31 homozygous APOE ε4 carriers (age=34.47 years, including a subsample of n = 12 subjects with depression) with a demographically matched sample without an ε4 allele (resulting total sample: N = 62). Morphometry analyses included a) Freesurfer based cortical segmentations of thickness and surface area measures and b) tract based spatial statistics of DTI measures. We found pronounced and widespread reductions in cortical surface area of ε4 homozygotes in 57 out of 68 cortical brain regions. In contrast, no differences in cortical thickness were observed. Furthermore, APOE ε4 homozygous carriers showed significantly lower fractional anisotropy in the corpus callosum, the right internal and external capsule, the left corona radiata and the right fornix. The present findings support a global rather than regionally specific effect of homozygous APOE ε4 allele status on cortical surface area and white matter microstructure. Future studies should aim to delineate the clinical implications of these findings.
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Affiliation(s)
- Janik Goltermann
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Claas Flint
- Department of Psychiatry, University of Münster, Münster, Germany; Department of Mathematics and Computer Science, University of Münster, Germany
| | | | - Lena Waltemate
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Jochen Bauer
- Institute of Clinical Radiology, University of Münster, Germany
| | - Simon Schmitt
- Department of Psychiatry, University of Marburg, Germany
| | - Tina Meller
- Department of Psychiatry, University of Marburg, Germany
| | | | | | | | - Andreas Jansen
- Department of Psychiatry, University of Marburg, Germany
| | - Axel Krug
- Department of Psychiatry, University of Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry, University of Marburg, Germany
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany; Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
| | - Marcella Rietschel
- Department of Genetic Epidemiology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Stephanie Witt
- Department of Genetic Epidemiology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, Department of Genomics, Life & Brain Center, University of Bonn, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Markus Nöthen
- Institute of Human Genetics, Department of Genomics, Life & Brain Center, University of Bonn, Germany
| | | | - Judith Alferink
- Department of Psychiatry, University of Münster, Münster, Germany; Cells in Motion Interfaculty Centre, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry, University of Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany.
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
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17
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He JT, Zhao X, Xu L, Mao CY. Vascular Risk Factors and Alzheimer's Disease: Blood-Brain Barrier Disruption, Metabolic Syndromes, and Molecular Links. J Alzheimers Dis 2021; 73:39-58. [PMID: 31815697 DOI: 10.3233/jad-190764] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder, marked by cortical and hippocampal deposition of amyloid-β (Aβ) plaques and neurofibrillary tangles and cognitive impairment. Studies indicate a prominent link between cerebrovascular abnormalities and the onset and progression of AD, where blood-brain barrier (BBB) dysfunction and metabolic disorders play key risk factors. Pericyte degeneration, endothelial cell damage, astrocyte depolarization, diminished tight junction integrity, and basement membrane disarray trigger BBB damage. Subsequently, the altered expression of low-density lipoprotein receptor-related protein 1 and receptor for advanced glycation end products at the microvascular endothelial cells dysregulate Aβ transport across the BBB. White matter lesions and microhemorrhages, dyslipidemia, altered brain insulin signaling, and insulin resistance contribute to tau and Aβ pathogenesis, and oxidative stress, mitochondrial damage, inflammation, and hypoperfusion serve as mechanistic links between pathophysiological features of AD and ischemia. Deregulated calcium homeostasis, voltage gated calcium channel functioning, and protein kinase C signaling are also common mechanisms for both AD pathogenesis and cerebrovascular abnormalities. Additionally, APOE polymorphic alleles that characterize impaired cerebrovascular integrity function as primary genetic determinants of AD. Overall, the current review enlightens key vascular risk factors for AD and underscores pathophysiologic relationship between AD and vascular dysfunction.
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Affiliation(s)
- Jin-Ting He
- Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, Jilin Province, China
| | - Xin Zhao
- Department of Paediatrics, The First Hospital of Jilin University, Changchun, Jilin Province, China
| | - Lei Xu
- Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, Jilin Province, China
| | - Cui-Ying Mao
- Department of Cardiology, China-Japan Union Hospital, Jilin University, Changchun, Jilin Province, China
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18
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Mole JP, Fasano F, Evans J, Sims R, Kidd E, Aggleton JP, Metzler-Baddeley C. APOE-ε4-related differences in left thalamic microstructure in cognitively healthy adults. Sci Rep 2020; 10:19787. [PMID: 33188215 PMCID: PMC7666117 DOI: 10.1038/s41598-020-75992-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 10/15/2020] [Indexed: 01/05/2023] Open
Abstract
APOE-ε4 is a main genetic risk factor for developing late onset Alzheimer's disease (LOAD) and is thought to interact adversely with other risk factors on the brain. However, evidence regarding the impact of APOE-ε4 on grey matter structure in asymptomatic individuals remains mixed. Much attention has been devoted to characterising APOE-ε4-related changes in the hippocampus, but LOAD pathology is known to spread through the whole of the Papez circuit including the limbic thalamus. Here, we tested the impact of APOE-ε4 and two other risk factors, a family history of dementia and obesity, on grey matter macro- and microstructure across the whole brain in 165 asymptomatic individuals (38-71 years). Microstructural properties of apparent neurite density and dispersion, free water, myelin and cell metabolism were assessed with Neurite Orientation Density and Dispersion (NODDI) and quantitative magnetization transfer (qMT) imaging. APOE-ε4 carriers relative to non-carriers had a lower macromolecular proton fraction (MPF) in the left thalamus. No risk effects were present for cortical thickness, subcortical volume, or NODDI indices. Reduced thalamic MPF may reflect inflammation-related tissue swelling and/or myelin loss in APOE-ε4. Future prospective studies should investigate the sensitivity and specificity of qMT-based MPF as a non-invasive biomarker for LOAD risk.
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Affiliation(s)
- Jilu P Mole
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Fabrizio Fasano
- Siemens Healthcare, Henkestrasse 127, 91052, Erlangen, Germany
| | - John Evans
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Haydn Ellis Building, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Emma Kidd
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Redwood Building, King Edward VII Avenue,, Cardiff, CF10 3NB, UK
| | - John P Aggleton
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Claudia Metzler-Baddeley
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK.
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19
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Choi YY, Lee JJ, Choi KY, Seo EH, Choo IH, Kim H, Song MK, Choi SM, Cho SH, Kim BC, Lee KH. The Aging Slopes of Brain Structures Vary by Ethnicity and Sex: Evidence From a Large Magnetic Resonance Imaging Dataset From a Single Scanner of Cognitively Healthy Elderly People in Korea. Front Aging Neurosci 2020; 12:233. [PMID: 32903525 PMCID: PMC7437271 DOI: 10.3389/fnagi.2020.00233] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Accepted: 07/03/2020] [Indexed: 01/12/2023] Open
Abstract
The aging of the brain is a well-investigated topic, but existing analyses have mainly focused on Caucasian samples. To investigate brain aging in East Asians, we measured cortical and subcortical volumes from magnetic resonance imaging (MRI) scans of 1,008 cognitively normal elderly Koreans from the Gwangju Alzheimer’s and Related Dementia cohort and 342 Caucasians from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. To determine whether the aging effect varies with ethnicity and sex, beta coefficients of age and confidence intervals (CIs) were estimated in each ethnicity–sex group using a bootstrap method and a regression analysis using the relative volume to intracranial volume as predicted. The betas or aging slopes largely were not significantly different between ethnicity and sex groups in most types of brain structures. However, ethnic differences between the two female groups were found in the brain, most cortical regions, and a few subcortical regions. Ethnic differences in brain aging are likely due in large part to genetic factors; thus, we compared carriers and non-carriers of a gene relevant to longevity and neurodegenerative diseases, such as apolipoprotein E (APOE) ε4. The regions with ethnic differences in women also showed significant differences between Korean APOE ε4 non-carriers and Caucasian APOE ε4 carriers. Furthermore, Caucasian women showed significant APOE ε4 effects in the largest number of regions. These results illustrate that much of the ethnic differences in females may be explained by synergistic effects of ethnic background and APOE ε4 carrier status. Our results suggest that sex-dependent differences of aging between ethnic backgrounds may be due to ethnicity-dependent effects of genetic risk factors, such as APOE ε4. We also presented the normative information on volume estimates of the brain structures of the elderly Korean people in the subdivided age groups. This normative information of the aging brain stratified by ethnicity provides the age-related reference ranges quantified to replace visual judgment and facilitate precise clinical decision-making.
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Affiliation(s)
- Yu Yong Choi
- Gwangju Alzheimer's Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea.,Biomedical Technology Center, Chosun University Hospital, Gwangju, South Korea
| | - Jang Jae Lee
- Gwangju Alzheimer's Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea
| | - Kyu Yeong Choi
- Gwangju Alzheimer's Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea
| | - Eun Hyun Seo
- Gwangju Alzheimer's Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea.,Biomedical Technology Center, Chosun University Hospital, Gwangju, South Korea
| | - Il Han Choo
- Department of Neuropsychiatry, Chosun University School of Medicine and Hospital, Gwangju, South Korea
| | - Hoowon Kim
- Gwangju Alzheimer's Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea.,Biomedical Technology Center, Chosun University Hospital, Gwangju, South Korea.,Department of Neurology, Chosun University School of Medicine and Hospital, Gwangju, South Korea
| | - Min-Kyung Song
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, South Korea
| | - Seong-Min Choi
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, South Korea
| | - Soo Hyun Cho
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, South Korea
| | - Byeong C Kim
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, South Korea
| | - Kun Ho Lee
- Gwangju Alzheimer's Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea.,Department of Biomedical Science, Chosun University, Gwangju, South Korea.,Dementia Research Group, Korea Brain Research Institute, Daegu, South Korea
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20
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Pathogenesis, Assessments, and Management of Chemotherapy-Related Cognitive Impairment (CRCI): An Updated Literature Review. JOURNAL OF ONCOLOGY 2020; 2020:3942439. [PMID: 32684930 PMCID: PMC7333028 DOI: 10.1155/2020/3942439] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/10/2020] [Accepted: 06/08/2020] [Indexed: 02/06/2023]
Abstract
There are various cancer treatments at present, and chemotherapy is one of the main methods. Chemotherapy-related cognitive impairment (CRCI), as one of the side effects of chemotherapy, has gradually attracted the attention of more and more researchers. CRCI has been verified by subjective reports and objective neuropsychological tests so far. But oncologists' understanding of it and its treatments are still incomplete. In this review, we mainly give a comprehensive overview of the mechanism of CRCI, then describe a variety of evaluation methods, and finally summarize the treatment approaches under current medical conditions and compare it with an excellent article published in 2015 with the aim of providing directions for future research and better understanding of CRCI for clinicians.
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21
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Alam J, Sharma L. Potential Enzymatic Targets in Alzheimer's: A Comprehensive Review. Curr Drug Targets 2020; 20:316-339. [PMID: 30124150 DOI: 10.2174/1389450119666180820104723] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 06/23/2018] [Accepted: 08/15/2018] [Indexed: 12/13/2022]
Abstract
Alzheimer's, a degenerative cause of the brain cells, is called as a progressive neurodegenerative disease and appears to have a heterogeneous etiology with main emphasis on amyloid-cascade and hyperphosphorylated tau-cascade hypotheses, that are directly linked with macromolecules called enzymes such as β- & γ-secretases, colinesterases, transglutaminases, and glycogen synthase kinase (GSK-3), cyclin-dependent kinase (cdk-5), microtubule affinity-regulating kinase (MARK). The catalytic activity of the above enzymes is the result of cognitive deficits, memory impairment and synaptic dysfunction and loss, and ultimately neuronal death. However, some other enzymes also lead to these dysfunctional events when reduced to their normal activities and levels in the brain, such as α- secretase, protein kinase C, phosphatases etc; metabolized to neurotransmitters, enzymes like monoamine oxidase (MAO), catechol-O-methyltransferase (COMT) etc. or these abnormalities can occur when enzymes act by other mechanisms such as phosphodiesterase reduces brain nucleotides (cGMP and cAMP) levels, phospholipase A2: PLA2 is associated with reactive oxygen species (ROS) production etc. On therapeutic fronts, several significant clinical trials are underway by targeting different enzymes for development of new therapeutics to treat Alzheimer's, such as inhibitors for β-secretase, GSK-3, MAO, phosphodiesterase, PLA2, cholinesterases etc, modulators of α- & γ-secretase activities and activators for protein kinase C, sirtuins etc. The last decades have perceived an increasing focus on findings and search for new putative and novel enzymatic targets for Alzheimer's. Here, we review the functions, pathological roles, and worth of almost all the Alzheimer's associated enzymes that address to therapeutic strategies and preventive approaches for treatment of Alzheimer's.
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Affiliation(s)
- Jahangir Alam
- School of Pharmaceutical Sciences, Shoolini University, Solan, H.P., Pin 173229, India
| | - Lalit Sharma
- School of Pharmaceutical Sciences, Shoolini University, Solan, H.P., Pin 173229, India
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22
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Ricci M, Chiaravalloti A, Martorana A, Koch G, De Lucia V, Barbagallo G, Schillaci O. The role of epsilon phenotype in brain glucose consumption in Alzheimer's disease. Ann Nucl Med 2020; 34:254-262. [PMID: 32016694 DOI: 10.1007/s12149-020-01441-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 01/21/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVE The aim of our study was to investigate the impact of the epsilon phenotype in brain glucose consumption in a population with Alzheimer's disease. METHODS Statistical Parametric Mapping (SPM8) was used to investigate differences in brain glucose consumption (as detectable by means of 18F FDG-PET/CT) in the population examined. A total of 129 patients (72 females and 57 males) with a diagnosis of probable AD according to the NINCDS-ADRDA criteria underwent the PET/CT examination. The mean (SD) age of the patients was 70 (± 7) years; the mean Mini-Mental State Examination was 19(± 5.6). 59 expressed epsilon 4 phenotype (E4) and 70 expressed the epsilon 3 phenotype (E3). Cerebral spinal fluid amyloid, tau, and t-tau have been measured resulting equal to 367.4 (± 149.1), 584.7 (± 312.1), and 79.2(± 45.9) pg/ml, respectively. Patients with confirmed amyloid and Tau changes were classified as AD. Patients with amyloid changes but negative Tau, considered as high risk of AD, were classified as IAD. Age, sex, MMSE, scholarship, and CSF parameters were used as a covariate in the SPM analyses. RESULTS We did not find significant differences in age, gender, and MMSE and CSF parameters among groups. In the analysis of the AD group as compared to AD-E3, AD-E4 subjects show a significant reduction of brain glucose consumption in inferior frontal gyrus bilaterally (BA 45, BA 47). In the analysis of the IAD group as compared to IAD-E3, IAD-E4 subjects show a significant reduction of brain glucose consumption in right in medial, middle, and superior frontal gyrus (BA10, BA11), and in left medial and middle frontal gyrus (BA10, BA11). The differences between IAD-E3 and AD-E3 and between IAD-E4 and AD-E4 (and vice versa analysis) resulted not significant. CONCLUSIONS APO-e4 is related to a major involvement of the frontal cortex confirming its role of risk factor in AD, while APO-3 seems not related to a specific pattern, supporting the hypothesis of neutral/protective role in AD.
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Affiliation(s)
- Maria Ricci
- Department of Radiological, Oncological and Pathological Sciences, Faculty of Medicine and Surgery, La Sapienza University, Rome, Italy.
| | - Agostino Chiaravalloti
- Department of Biomedicine and Prevention, Faculty of Medicine and Surgery, Tor Vergata University, Rome, Italy
- IRCCS Neuromed, UOC Medicina Nucleare, Pozzilli, IS, Italy
| | - Alessandro Martorana
- UOSD Centro Demenze PTV, System Medicine, Faculty of Medicine and Surgery, Tor Vergata University, Rome, Italy
| | - Giacomo Koch
- UOSD Centro Demenze PTV, System Medicine, Faculty of Medicine and Surgery, Tor Vergata University, Rome, Italy
- Non Invasive Brain Stimulation Unit/Department of Behavioral and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Vincenzo De Lucia
- UOSD Centro Demenze PTV, System Medicine, Faculty of Medicine and Surgery, Tor Vergata University, Rome, Italy
| | - Gaetano Barbagallo
- Institute of Neurology, Magna Græcia University, 88100, Catanzaro, Italy
| | - Orazio Schillaci
- Department of Biomedicine and Prevention, Faculty of Medicine and Surgery, Tor Vergata University, Rome, Italy
- IRCCS Neuromed, UOC Medicina Nucleare, Pozzilli, IS, Italy
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23
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APOE in the normal brain. Neurobiol Dis 2020; 136:104724. [PMID: 31911114 DOI: 10.1016/j.nbd.2019.104724] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 12/19/2019] [Accepted: 12/31/2019] [Indexed: 12/25/2022] Open
Abstract
The APOE4 protein affects the primary neuropathological markers of Alzheimer's disease (AD): amyloid plaques, neurofibrillary tangles, and gliosis. These interactions have been investigated to understand the strong effect of APOE genotype on risk of AD. However, APOE genotype has strong effects on processes in normal brains, in the absence of the hallmarks of AD. We propose that CNS APOE is involved in processes in the normal brains that in later years apply specifically to processes of AD pathogenesis. We review the differences of the APOE protein found in the CNS compared to the plasma, including post-translational modifications (glycosylation, lipidation, multimer formation), focusing on ways that the common APOE isoforms differ from each other. We also review structural and functional studies of young human brains and control APOE knock-in mouse brains. These approaches demonstrate the effects of APOE genotype on microscopic neuron structure, gross brain structure, and behavior, primarily related to the hippocampal areas. By focusing on the effects of APOE genotype on normal brain function, approaches can be pursued to identify biomarkers of APOE dysfunction, to promote normal functions of the APOE4 isoform, and to prevent the accumulation of the pathologic hallmarks of AD with aging.
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24
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" Bridging the Gap" Everything that Could Have Been Avoided If We Had Applied Gender Medicine, Pharmacogenetics and Personalized Medicine in the Gender-Omics and Sex-Omics Era. Int J Mol Sci 2019; 21:ijms21010296. [PMID: 31906252 PMCID: PMC6982247 DOI: 10.3390/ijms21010296] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 12/21/2019] [Accepted: 12/30/2019] [Indexed: 02/06/2023] Open
Abstract
Gender medicine is the first step of personalized medicine and patient-centred care, an essential development to achieve the standard goal of a holistic approach to patients and diseases. By addressing the interrelation and integration of biological markers (i.e., sex) with indicators of psychological/cultural behaviour (i.e., gender), gender medicine represents the crucial assumption for achieving the personalized health-care required in the third millennium. However, ‘sex’ and ‘gender’ are often misused as synonyms, leading to frequent misunderstandings in those who are not deeply involved in the field. Overall, we have to face the evidence that biological, genetic, epigenetic, psycho-social, cultural, and environmental factors mutually interact in defining sex/gender differences, and at the same time in establishing potential unwanted sex/gender disparities. Prioritizing the role of sex/gender in physiological and pathological processes is crucial in terms of efficient prevention, clinical signs’ identification, prognosis definition, and therapy optimization. In this regard, the omics-approach has become a powerful tool to identify sex/gender-specific disease markers, with potential benefits also in terms of socio-psychological wellbeing for each individual, and cost-effectiveness for National Healthcare systems. “Being a male or being a female” is indeed important from a health point of view and it is no longer possible to avoid “sex and gender lens” when approaching patients. Accordingly, personalized healthcare must be based on evidence from targeted research studies aimed at understanding how sex and gender influence health across the entire life span. The rapid development of genetic tools in the molecular medicine approaches and their impact in healthcare is an example of highly specialized applications that have moved from specialists to primary care providers (e.g., pharmacogenetic and pharmacogenomic applications in routine medical practice). Gender medicine needs to follow the same path and become an established medical approach. To face the genetic, molecular and pharmacological bases of the existing sex/gender gap by means of omics approaches will pave the way to the discovery and identification of novel drug-targets/therapeutic protocols, personalized laboratory tests and diagnostic procedures (sex/gender-omics). In this scenario, the aim of the present review is not to simply resume the state-of-the-art in the field, rather an opportunity to gain insights into gender medicine, spanning from molecular up to social and psychological stances. The description and critical discussion of some key selected multidisciplinary topics considered as paradigmatic of sex/gender differences and sex/gender inequalities will allow to draft and design strategies useful to fill the existing gap and move forward.
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25
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Mathews PM, Levy E. Exosome Production Is Key to Neuronal Endosomal Pathway Integrity in Neurodegenerative Diseases. Front Neurosci 2019; 13:1347. [PMID: 31911768 PMCID: PMC6920185 DOI: 10.3389/fnins.2019.01347] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 11/29/2019] [Indexed: 12/28/2022] Open
Abstract
Dysfunction of the endosomal–lysosomal system is a prominent pathogenic factor in Alzheimer’s disease (AD) and other neurodevelopmental and neurodegenerative disorders. We and others have extensively characterized the neuronal endosomal pathway pathology that results from either triplication of the amyloid-β precursor protein (APP) gene in Down syndrome (DS) or from expression of the apolipoprotein E ε4 allele (APOE4), the greatest genetic risk factor for late-onset AD. More recently brain exosomes, extracellular vesicles that are generated within and released from endosomal compartments, have been shown to be altered in DS and by APOE4 expression. In this review, we discuss the emerging data arguing for an interdependence between exosome production and endosomal pathway integrity in the brain. In vitro and in vivo studies indicate that altered trafficking through the endosomal pathway or compromised cargo turnover within lysosomes can affect the production, secretion, and content of exosomes. Conversely, exosome biogenesis can affect the endosomal–lysosomal system. Indeed, we propose that efficient exosome release helps to modulate flux through the neuronal endosomal pathway by decompressing potential “traffic jams.” Exosome secretion may have the added benefit of unburdening the neuron’s lysosomal system by delivering endosomal–lysosomal material into the extracellular space, where other cell types may contribute to the degradation of neuronal debris. Thus, maintaining robust neuronal exosome production may prevent or mitigate endosomal and lysosomal abnormalities linked to aging and neurodegenerative diseases. While the current evidence suggests that the exosomal system in the brain can be modulated both by membrane lipid composition and the expression of key proteins that contribute to the formation and secretion of exosomes, how exosomal pathway-regulatory elements sense and respond to perturbations in the endosomal pathway is not well understood. Based upon findings from the extensively studied DS and APOE4 models, we propose that enhanced neuronal exosome secretion can be a protective response, reducing pathological disruption of the endosomal–lysosomal system in disease-vulnerable neurons. Developing therapeutic approaches that help to maintain or enhance neuronal exosome biogenesis and release may be beneficial in a range of disorders of the central nervous system.
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Affiliation(s)
- Paul M Mathews
- Center for Dementia Research, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States.,Department of Psychiatry, New York University Langone Health, New York, NY, United States.,NYU Neuroscience Institute, New York University Langone Health, New York, NY, United States
| | - Efrat Levy
- Center for Dementia Research, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States.,Department of Psychiatry, New York University Langone Health, New York, NY, United States.,NYU Neuroscience Institute, New York University Langone Health, New York, NY, United States.,Department of Biochemistry and Molecular Pharmacology, New York University Langone Health, New York, NY, United States
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26
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Okada Y, Kato T, Iwata K, Kimura Y, Nakamura A, Hattori H, Toyama H, Ishii K, Ishii K, Senda M, Ito K, Iwatsubo T. Evaluation of PiB visual interpretation with CSF Aβ and longitudinal SUVR in J-ADNI study. Ann Nucl Med 2019; 34:108-118. [PMID: 31749127 PMCID: PMC7026272 DOI: 10.1007/s12149-019-01420-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 11/11/2019] [Indexed: 12/14/2022]
Abstract
Objective The objectives of the present study were to investigate (1) whether trinary visual interpretation of amyloid positron emission tomography (PET) imaging (negative/equivocal/positive) reflects quantitative amyloid measurements and the time course of 11C-Pittsburgh compound B (PiB) amyloid accumulation, and (2) whether visually equivocal scans represent an early stage of the Alzheimer’s disease (AD) continuum in terms of an intermediate state of quantitative amyloid measurements and the changes in amyloid accumulation over time. Methods From the National Bioscience Database Center Human Database of the Japanese Alzheimer’s Disease Neuroimaging Initiative, we selected 133 individuals for this study including 33 with Alzheimer’s disease dementia (ADD), 52 with late mild cognitive impairment (LMCI), and 48 cognitively normal (CN) subjects who underwent clinical assessment, PiB PET, and structural magnetic resonance imaging (MRI) with 2 or 3-years of follow-up. Sixty-eight of the 133 individuals underwent cerebrospinal fluid amyloid-β1-42 (CSF-Ab42) analysis at baseline. The standard uptake value ratio (SUVR) of PiB PET was calculated with a method using MRI at each visit. The cross-sectional values, longitudinal changes in SUVR, and baseline CSF-Ab42 were compared among groups, which were categorized based on trinary visual reads of amyloid PET (negative/equivocal/positive). Results From the trinary visual interpretation of the PiB PET images, 55 subjects were negative, 8 were equivocal, and 70 were positive. Negative interpretation was most frequent in the CN group (70.8/10.4/18.8%: negative/equivocal/positive), and positive was most frequent in the LMCI group (34.6/1.9/63.5%) and in the ADD group (9.1/6.1/84.8%). The baseline SUVRs were 1.08 ± 0.06 in the negative group, 1.23 ± 0.15 in the equivocal group, and 1.86 ± 0.31 in the positive group (F = 174.9, p < 0.001). The baseline CSF-Ab42 level was 463 ± 112 pg/mL in the negative group, 383 ± 125 pg/mL in the equivocal group, and 264 ± 69 pg/mL in the positive group (F = 37, p < 0.001). Over the 3-year follow-up, annual changes in SUVR were − 0.00 ± 0.02 in the negative group, 0.02 ± 0.02 in the equivocal group, and 0.04 ± 0.07 in the positive group (F = 8.4, p < 0.001). Conclusions Trinary visual interpretation (negative/equivocal/positive) of amyloid PET imaging reflects quantitative amyloid measurements evaluated with PET and the CSF amyloid test as well as the amyloid accumulation over time evaluated with PET over 3 years. Subjects in the early stage of the AD continuum could be identified with an equivocal scan, because they showed intermediate quantitative amyloid PET, CSF measurements, and the amyloid accumulation over time. Electronic supplementary material The online version of this article (10.1007/s12149-019-01420-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yusuke Okada
- Department of Radiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Aichi, Japan. .,Department of Psychiatry, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan. .,Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan.
| | - Takashi Kato
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan.,Department of Radiology, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan
| | - Kaori Iwata
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan
| | - Yasuyuki Kimura
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan
| | - Akinori Nakamura
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan
| | - Hideyuki Hattori
- Department of Psychiatry, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan
| | - Hiroshi Toyama
- Department of Radiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Aichi, Japan
| | - Kazunari Ishii
- Department of Radiology, Kindai University Faculty of Medicine, 377-2 Onohigashi, Osakasayama, 589-8511, Osaka, Japan
| | - Kenji Ishii
- Diagnostic Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan
| | - Michio Senda
- Division of Molecular Imaging, Kobe City Medical Center General Hospital, 2-1-1, Minatojimaminamimachi, Chuo-ku, Kobe, 650-0047, Hyogo, Japan
| | - Kengo Ito
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan.,Department of Radiology, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan
| | - Takeshi Iwatsubo
- Department of Neuropathology, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
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27
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Operto G, Molinuevo JL, Cacciaglia R, Falcon C, Brugulat-Serrat A, Suárez-Calvet M, Grau-Rivera O, Bargalló N, Morán S, Esteller M, Gispert JD. Interactive effect of age and APOE-ε4 allele load on white matter myelin content in cognitively normal middle-aged subjects. Neuroimage Clin 2019; 24:101983. [PMID: 31520917 PMCID: PMC6742967 DOI: 10.1016/j.nicl.2019.101983] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 08/01/2019] [Accepted: 08/12/2019] [Indexed: 02/08/2023]
Abstract
The apolipoprotein E gene (APOE) ε4 allele has a strong and manifold impact on cognition and neuroimaging phenotypes in cognitively normal subjects, including alterations in the white matter (WM) microstructure. Such alterations have often been regarded as a reflection of potential thinning of the myelin sheath along axons, rather than pure axonal degeneration. Considering the main role of APOE in brain lipid transport, characterizing the impact of APOE on the myelin coating is therefore of crucial interest, especially in healthy APOE-ε4 homozygous individuals, who are exposed to a twelve-fold higher risk of developing Alzheimer's disease (AD), compared to the rest of the population. We examined T1w/T2w ratio maps in 515 cognitively healthy middle-aged participants from the ALFA study (ALzheimer and FAmilies) cohort, a single-site population-based study enriched for AD risk (68 APOE-ε4 homozygotes, 197 heterozygotes, and 250 non-carriers). Using tract-based spatial statistics, we assessed the impact of age and APOE genotype on this ratio taken as an indirect descriptor of myelin content. Healthy APOE-ε4 carriers display decreased T1w/T2w ratios in extensive regions in a dose-dependent manner. These differences were found to interact with age, suggesting faster changes in individuals with more ε4 alleles. These results obtained with T1w/T2w ratios, confirm the increased vulnerability of WM tracts in APOE-ε4 healthy carriers. Early alterations of myelin content could be the result of the impaired function of the ε4 isoform of the APOE protein in cholesterol transport. These findings help to clarify the possible interactions between the APOE-dependent non-pathological burden and age-related changes potentially at the source of the AD pathological cascade.
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Affiliation(s)
- Grégory Operto
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Raffaele Cacciaglia
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Anna Brugulat-Serrat
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Nuria Bargalló
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre Mèdic Diagnòstic Alomar, Barcelona, Spain
| | - Sebastián Morán
- Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet, Barcelona, Spain
| | - Manel Esteller
- Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet, Barcelona, Spain; Departament de Ciències Fisiològiques II, Escola de Medicina, Universitat de Barcelona, Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.
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28
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Chiesa PA, Cavedo E, Vergallo A, Lista S, Potier M, Habert M, Dubois B, Thiebaut de Schotten M, Hampel H. Differential default mode network trajectories in asymptomatic individuals at risk for Alzheimer's disease. Alzheimers Dement 2019; 15:940-950. [DOI: 10.1016/j.jalz.2019.03.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 01/25/2019] [Accepted: 03/04/2019] [Indexed: 11/16/2022]
Affiliation(s)
- Patrizia A. Chiesa
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Enrica Cavedo
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Andrea Vergallo
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Simone Lista
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Marie‐Claude Potier
- ICM Institut du Cerveau et de la Moelleépinière, CNRS UMR7225, INSERM U1127, UPMCHôpital de la Pitié‐Salpêtrière, 47 Bd de l'HôpitalParisFrance
| | - Marie‐Odile Habert
- Laboratoire d'Imagerie BiomédicaleSorbonne Université, INSERM U 1146, CNRS UMRParisFrance
- Department of Nuclear Medicine, AP‐HPHôpitalPitié‐SalpêtrièreParisFrance
- Centre Acquisition et Traitement des Images (CATI)ParisFrance
| | - Bruno Dubois
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Michel Thiebaut de Schotten
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Laboratory of Alzheimer's Neuroimaging and EpidemiologyIRCCS Centro San Giovanni di Dio FatebenefratelliBresciaItaly
- Brain Connectivity Behaviour LaboratorySorbonne UniversitiesParisFrance
- Groupe d'Imagerie NeurofonctionnelleInstitut des Maladies Neurodégénératives‐UMR 5293CNRSCEA University of BordeauxBordeauxFrance
| | - Harald Hampel
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
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29
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Koelewijn L, Lancaster TM, Linden D, Dima DC, Routley BC, Magazzini L, Barawi K, Brindley L, Adams R, Tansey KE, Bompas A, Tales A, Bayer A, Singh K. Oscillatory hyperactivity and hyperconnectivity in young APOE-ɛ4 carriers and hypoconnectivity in Alzheimer's disease. eLife 2019; 8:e36011. [PMID: 31038453 PMCID: PMC6491037 DOI: 10.7554/elife.36011] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 04/17/2019] [Indexed: 11/14/2022] Open
Abstract
We studied resting-state oscillatory connectivity using magnetoencephalography in healthy young humans (N = 183) genotyped for APOE-ɛ4, the greatest genetic risk for Alzheimer's disease (AD). Connectivity across frequencies, but most prevalent in alpha/beta, was increased in APOE-ɛ4 in a set of mostly right-hemisphere connections, including lateral parietal and precuneus regions of the Default Mode Network. Similar regions also demonstrated hyperactivity, but only in gamma (40-160 Hz). In a separate study of AD patients, hypoconnectivity was seen in an extended bilateral network that partially overlapped with the hyperconnected regions seen in young APOE-ɛ4 carriers. Using machine-learning, AD patients could be distinguished from elderly controls with reasonable sensitivity and specificity, while young APOE-e4 carriers could also be distinguished from their controls with above chance performance. These results support theories of initial hyperconnectivity driving eventual profound disconnection in AD and suggest that this is present decades before the onset of AD symptomology.
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Affiliation(s)
- Loes Koelewijn
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Thomas M Lancaster
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiffUnited Kingdom
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUnited Kingdom
| | - David Linden
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiffUnited Kingdom
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUnited Kingdom
| | - Diana C Dima
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Bethany C Routley
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Lorenzo Magazzini
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Kali Barawi
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUnited Kingdom
| | - Lisa Brindley
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Rachael Adams
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Katherine E Tansey
- Core Bioinformatics and Statistics Team, College of Biomedical and Life Sciences, Cardiff UniversityCardiffUnited Kingdom
| | - Aline Bompas
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Andrea Tales
- Department of PsychologyCollege of Human and Health Sciences, Swansea UniversitySwanseaUnited Kingdom
| | - Antony Bayer
- School of Medicine, Cardiff UniversityCardiffUnited Kingdom
| | - Krish Singh
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiffUnited Kingdom
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30
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Novotni G, Jakimovska M, Plaseska-Karanfilska D, Tanovska N, Kuzmanovski I, Aleksovski V, Karanfilovik K, Baneva-Dolnenec N, Stankovic M, Milutinovik M, Iloski S, Isjanovska R, Blazevska-Stoilkovska B, Duma A, Novotni A. Evaluation of APOE Genotype and Vascular Risk Factors As Prognostic and Risk Factors for Alzheimer's Disease and Their Influence On Age of Symptoms Onset. Open Access Maced J Med Sci 2019; 7:516-520. [PMID: 30894904 PMCID: PMC6420953 DOI: 10.3889/oamjms.2019.166] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 02/08/2019] [Accepted: 02/12/2019] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Alzheimer's disease (AD), the most common cause of dementia, is evolving to become a threatening epidemy of the 21st century. Only 21% of the predicted number of AD patients in Macedonia have been diagnosed and treated, which means that almost 80% are underdiagnosed or misdiagnosed. Apolipoprotein E gene (APOE) is recognised as the strongest genetic risk factor for sporadic AD. Whether and when Alzheimer's disease develops, depends on the very complex interaction between genetic and modifiable risk factors. It has been known that vascular factors like hypertension, diabetes mellitus, hypercholesterolemia and obesity increase the risk of developing both AD, vascular dementia and mixed AD and vascular pathology. AIM This study aims to evaluate the influence of APOEε4 allele presence and modifiable vascular risk factors (hypertension, diabetes mellitus and dyslipidemia) as prognostic and risk factors for AD and their influence on the age of onset of AD symptoms among 144 AD patients from Macedonia. MATERIAL AND METHODS Study group of a total of 144 patients diagnosed with AD was evaluated. APOE genotyping was performed using APOE haplotype-specific sequence specific-primer (SSP)-PCR (Polymerase Chain Reaction) methodology. The non-standardized questionnaire was used to obtain information about demographics, lifestyle and modifiable risk factors that could influence disease onset and phenotype. RESULTS Statistically significant association was found between the presences of APOEε4 allele in AD group versus controls. The presence of APOEε4 allele increases the risk of developing AD in a 3-fold manner. The average age of disease onset in the ε4 carrier group was 67.2 ± 8.3 and in the ε4 non-carrier group 69.7 ± 9.4. This confirms that the presence of APOEε4 allele shifts towards earlier disease onset, though the difference is not statistically significant. Out of the vascular risk factors, only hypertension was significantly associated with earlier AD onset. Out of total 144 patients, in 22.9% the first symptom onset was before the age of 65, that can be considered as early onset Alzheimer's Disease (EOAD), which is much higher than 5% for EOAD as most of the studies report. CONCLUSIONS The average age of disease onset of 68.4 years could be considered earlier than the average age of AD onset worldwide. Out of all the vascular risk factors analysed in this study, only hypertension and dyslipidemia were found to significantly increase the risk for developing AD and only the presence of hypertension influences the age of onset, shifting towards earlier disease onset. Public awareness campaigns should be organised to influence general population knowledge about Alzheimer's disease, early recognition and the influence of modifiable vascular risk factors.
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Affiliation(s)
- Gabriela Novotni
- University Clinic for Neurology, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Milena Jakimovska
- Macedonian Academy for Science and Arts, Genetic Laboratory Prof. Dr Georgi Efremov, Skopje, Republic of Macedonia
| | - Dijana Plaseska-Karanfilska
- Macedonian Academy for Science and Arts, Genetic Laboratory Prof. Dr Georgi Efremov, Skopje, Republic of Macedonia
| | - Nikolina Tanovska
- University Clinic for Neurology, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Igor Kuzmanovski
- University Clinic for Neurology, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Vasko Aleksovski
- University Clinic for Neurology, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Katerina Karanfilovik
- University Clinic for Neurology, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Natalija Baneva-Dolnenec
- University Clinic for Neurology, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Marijana Stankovic
- University Clinic for Psychiatry, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Milos Milutinovik
- University Clinic for Psychiatry, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Svetlana Iloski
- University Clinic for Psychiatry, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Rosalinda Isjanovska
- Institute for Epidemiology, Biostatistics and Medical Informatics, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Biljana Blazevska-Stoilkovska
- Faculty of Philosophy, Department of Psychology, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Aleksej Duma
- Institute of Forensic Medicine, Criminology and Medical Deontology, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
| | - Antoni Novotni
- University Clinic for Psychiatry, Clinical Centre Mother Theresa, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje, Republic of Macedonia
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31
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Metzler-Baddeley C, Mole JP, Sims R, Fasano F, Evans J, Jones DK, Aggleton JP, Baddeley RJ. Fornix white matter glia damage causes hippocampal gray matter damage during age-dependent limbic decline. Sci Rep 2019; 9:1060. [PMID: 30705365 PMCID: PMC6355929 DOI: 10.1038/s41598-018-37658-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Accepted: 12/11/2018] [Indexed: 12/21/2022] Open
Abstract
Aging leads to gray and white matter decline but their causation remains unclear. We explored two classes of models of age and dementia risk related brain changes. The first class of models emphasises the importance of gray matter: age and risk-related processes cause neurodegeneration and this causes damage in associated white matter tracts. The second class of models reverses the direction of causation: aging and risk factors cause white matter damage and this leads to gray matter damage. We compared these models with linear mediation analysis and quantitative MRI indices (from diffusion, quantitative magnetization transfer and relaxometry imaging) of tissue properties in two limbic structures implicated in age-related memory decline: the hippocampus and the fornix in 166 asymptomatic individuals (aged 38–71 years). Aging was associated with apparent glia but not neurite density damage in the fornix and the hippocampus. Mediation analysis supported white matter damage causing gray matter decline; controlling for fornix glia damage, the correlations between age and hippocampal damage disappear, but not vice versa. Fornix and hippocampal differences were both associated with reductions in episodic memory performance. These results suggest that fornix white matter glia damage may cause hippocampal gray matter damage during age-dependent limbic decline.
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Affiliation(s)
- Claudia Metzler-Baddeley
- Cardiff University Brain Research Imaging Centre (CUBRIC), Maindy Road, Cathays, Cardiff, CF24 4HQ, UK.
| | - Jilu P Mole
- Cardiff University Brain Research Imaging Centre (CUBRIC), Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Rebecca Sims
- Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Fabrizio Fasano
- Cardiff University Brain Research Imaging Centre (CUBRIC), Maindy Road, Cathays, Cardiff, CF24 4HQ, UK.,Siemens Healthcare, Head Office, Sir William Siemens Square, Surrey, GU16 8QD, UK
| | - John Evans
- Cardiff University Brain Research Imaging Centre (CUBRIC), Maindy Road, Cathays, Cardiff, CF24 4HQ, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), Maindy Road, Cathays, Cardiff, CF24 4HQ, UK.,School of Psychology, Faculty of Health Sciences, Australian Catholic University, Melbourne, Victoria, 3065, Australia
| | - John P Aggleton
- School of Psychology, Cardiff University, Tower Building, 70 Park Place, Cardiff, CF10 3AT, UK
| | - Roland J Baddeley
- Experimental Psychology, University of Bristol, 12a Priory Road, Bristol, BS8 1TU, UK
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32
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Saccade latency delays in young apolipoprotein E (APOE) epsilon 4 carriers. Behav Brain Res 2018; 353:91-97. [PMID: 30003976 DOI: 10.1016/j.bbr.2018.07.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 06/20/2018] [Accepted: 07/02/2018] [Indexed: 11/23/2022]
Abstract
The apolipoprotein E (APOE) epsilon 4 isoform has been associated with a significantly greater risk of developing late onset Alzheimer's disease (AD). However, the negative effects of APOE-ε4 allele on cognitive function vary across the lifespan: reduced memory and executive function have been found in older individuals but, paradoxically, young APOE-ε4 carriers perform better on cognitive tests and show higher neural efficiency. This study aimed to assess the association between APOE genotype and saccade latency using a prosaccade and antisaccade task in young individuals (N = 97, age: 17-35 years). Results showed that prosaccade latency was significantly delayed in a group of ε4 carriers in comparison to non-carriers, which was due to a lower rate of signal accumulation rather than a change in the criterion threshold. In contrast, there was no significant genotype difference for antisaccade latency in this young cohort. These results indicate that prosaccade latency may be useful in establishing the APOE behavioural phenotype, which could ultimately assist with distinguishing between normal and pathological aging.
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33
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Affect of APOE on information processing speed in non-demented elderly population: a preliminary structural MRI study. Brain Imaging Behav 2018; 11:977-985. [PMID: 27444731 DOI: 10.1007/s11682-016-9571-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
APOE is one of the strongest genetic factors associated with information processing speed (IPS). Herein, we explored the neural substrates underlying APOE-related IPS alteration by measuring lobar distribution of white matter hyperintensities (WMH), cortical grey matter volume (GMV) and thickness. Using the ADNI database, we evaluated 178 cognitively normal elderly individuals including 34 APOE ε2 carriers, 54 APOE ε4 carriers and 90 ε3 homozygotes. IPS was determined using Trail Making Tests (TMT). We quantified lobar distribution of WMH, cortical GM lobar volume, cortical thickness among three groups. Finally, we used Pearson's correlation and general linear models to examine structural MRI markers in relation to IPS. There were significant differences of IPS among groups, with ε4 carriers displaying the worst performance. Across groups, significant differences in frontal and parietal WMH load were observed (the highest in ε4 carriers); however, no significant differences in cortical GMV and thickness were found. Pearson's correlation analysis showed parietal WMH volume was significantly related with IPS, especially in ε4 carriers. Subsequently a general linear model demonstrated that parietal WMH volume, age and the interaction between parietal WMH volume and age, was significantly associated with IPS, even after adjusting total intracranial volume (TIV), gender and vascular risk factors. Disruption of WM structure, rather than atrophy of GM, plays a more critical role in APOE ε4 allele-specific IPS. Moreover, specific WMH loci are closely associated with IPS; increased parietal WMH volume, especially in ε4 carriers, was independently contributed to slower IPS.
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34
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Espeland MA, Chen JC, Weitlauf J, Hayden KM, Rapp SR, Resnick SM, Garcia L, Cannell B, Baker LD, Sachs BC, Tindle HA, Wallace R, Casanova R. Trajectories of Relative Performance with 2 Measures of Global Cognitive Function. J Am Geriatr Soc 2018; 66:1575-1580. [PMID: 29972592 PMCID: PMC6167188 DOI: 10.1111/jgs.15431] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 03/30/2018] [Accepted: 04/10/2018] [Indexed: 02/04/2023]
Abstract
OBJECTIVES To examine whether trajectories of global cognitive function over time in studies that change assessment protocols may be modeled based on an individual's performance relative to others in the study cohort. DESIGN Extended follow-up of a cohort originally enrolled in a clinical trial of postmenopausal hormone therapy. SETTING The Women's Health Initiative Memory Study switched from an in-person interview with the Modified Mini-Mental State Examination to a telephone-based interview with the modified Telephone Interview for Cognitive Status to assess global cognitive function over long-term follow-up. PARTICIPANTS Women aged 75 to 92 (N=2,561). MEASUREMENTS Annual cognitive assessments from participants, ranked according to age-, race- and ethnicity-adjusted performance levels, were used to identify distinct trajectories. Participants assigned to the resulting trajectories were compared for selected risk factor profiles. RESULTS Our approach grouped participants into five trajectories according to relative cognitive performance over time. These groups differed significantly according to 3 known risk factors for cognitive decline-education level, apolipoprotein E-ϵ4 genotype, and type 2 diabetes mellitus-and a biomarker based on brain structure that has been linked to cognitive decline and Alzheimer's disease. Participants with consistently low relative levels of cognitive function over time and those whose relative performance over time declined to these levels tended to have poorer risk factor profiles. CONCLUSION Longitudinal measures of an individual's relative performance on different assessment protocols for global cognitive function can be used to identify trajectories of change over time that appear to have internal validity with respect to known risk factors.
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Affiliation(s)
- Mark A Espeland
- Department of Biostatistical Sciences, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Julie Weitlauf
- Department of Veterans Affairs, Palo Alto Health Care System, Stanford, California
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, California
| | - Kathleen M Hayden
- Department of Social Sciences and Health Policy, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Stephen R Rapp
- Department of Social Sciences and Health Policy, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
- Department of Psychiatry and Behavioral Medicine, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland
| | - Lorena Garcia
- Department of Public Health Sciences, University of California at Davis, Davis, California
| | - Brad Cannell
- Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, Texas
| | - Laura D Baker
- Division of Geriatrics Department of Internal Medicine, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Bonnie C Sachs
- Division of Geriatrics Department of Internal Medicine, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
- Department of Neurology, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Hilary A Tindle
- Department of Medicine, Vanderbilt University, Nashville, Tennessee
| | - Robert Wallace
- School of Public Health, University of Iowa, Iowa City, Iowa
| | - Ramon Casanova
- Department of Biostatistical Sciences, School of Medicine, Wake Forest University, Winston-Salem, North Carolina
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Intrinsic functional connectivity alterations in cognitively intact elderly APOE ε4 carriers measured by eigenvector centrality mapping are related to cognition and CSF biomarkers: a preliminary study. Brain Imaging Behav 2018; 11:1290-1301. [PMID: 27714554 DOI: 10.1007/s11682-016-9600-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Apolipoprotein E (APOE) ε4 allele is the best established genetic risk factor for sporadic Alzheimer's disease (AD). However, there is a need to understand the effects of this genotype on the brain by simultaneously assessing intrinsic brain network and cerebral spinal fluid (CSF) biomarkers changes in healthy older ε4 carriers. Thirteen cognitively intact, elderly APOE ε4 carriers and 22 ε3 homozygotes were included in the present study. Eigenvector centrality mapping (ECM) was used to identify brain network hub organization based on resting-state functional MRI (rsfMRI). We evaluated comprehensive cognitive ability and tested levels of Aβ1-42, total-tau (t-tau) and phosphorylated-tau (p-tau181) in CSF. Comparisons of ECM between two groups were conducted, followed by correlations analyses between EC values with significant group differences and cognitive ability/CSF biomarkers. APOE ε4 carriers showed significantly decreased EC values in left medial temporal lobe (MTL), left lingual gyrus (LG) and increased EC values in left middle frontal gyrus (MFG) as compared to non-carriers. Correlation analysis demonstrated that left LG EC value correlated with Rey Auditory Verbal Learning Test total learning (RAVLT, r = 0.57, p < 0.05) and t-tau level (r = -0.57, p < 0.05), while left MFG EC values correlated with log-transformed Trail-Making Test B (TMT-B, r = -0.67, p < 0.05) in APOE ε4 carriers. This study suggests the APOE ε4 allele contributes to disruption of brain connectedness in certain functional nodes, which may result from neuronal death caused by toxicity of neurofibrillary tangles.
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Ye Q, Su F, Shu H, Gong L, Xie C, Zhang Z, Bai F. The apolipoprotein E gene affects the three-year trajectories of compensatory neural processes in the left-lateralized hippocampal network. Brain Imaging Behav 2018; 11:1446-1458. [PMID: 27734307 DOI: 10.1007/s11682-016-9623-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Previous cross-sectional studies that investigated the effects of apolipoprotein E (ApoE) ε4 status on hippocampal networks have shown inconsistent results. Aging is a well-known risk factor for Alzheimer's disease (AD) and could strongly interact with ApoE-related vulnerabilities to affect AD risk. However, no longitudinal data have been published regarding the interaction of the ApoE genotype and aging on hippocampal networks. Fifty-one patients with amnestic-type mild cognitive impairment (aMCI) and 64 matched cognitively normal elderly subjects underwent resting-state fMRI scans and neuropsychological tests at baseline and at a 35-month follow-up. Hippocampal resting-state functional connectivity (FC) data were analyzed utilizing a mixed analysis of covariance with ApoE genotype, time points and disease as fixed factors, controlling for age, sex and years of education. The notable finding was that the FC between the left hippocampus and right frontal regions for ε4 carriers longitudinally increased in the normal subjects, but decreased in aMCI patients, whereas the FC for non-carriers was maintained in normal subjects but increased in aMCI patients. Specifically, the longitudinal increases in hippocampal FC with the right inferior frontal gyrus were positively correlated with the changes in episodic memory test scores in non-carriers with aMCI. The interaction between the ApoE genotype, aging and disease suggested that aging should be considered a key regulator of the impact of the ApoE genotype on the phenotypic variants of AD. These findings also demonstrated that compensatory neural processes were accelerated in genetically high risk individuals, but could be subsequently exhausted with the onset of cognitive impairment.
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Affiliation(s)
- Qing Ye
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, 210009, China
| | - Fan Su
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, 210009, China
| | - Hao Shu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, 210009, China
| | - Liang Gong
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, 210009, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, 210009, China
| | - Zhijun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, 210009, China
| | - Feng Bai
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
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Ding Q, Tanigawa K, Kaneko J, Totsuka M, Katakura Y, Imabayashi E, Matsuda H, Hisatsune T. Anserine/Carnosine Supplementation Preserves Blood Flow in the Prefrontal Brain of Elderly People Carrying APOE e4. Aging Dis 2018; 9:334-345. [PMID: 29896423 PMCID: PMC5988590 DOI: 10.14336/ad.2017.0809] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 08/09/2017] [Indexed: 12/15/2022] Open
Abstract
In a previously reported double-blind, randomized controlled trial (RCT), we demonstrated that daily supplementation with anserine (750 mg) and carnosine (250 mg) improves brain blood flow and memory function in elderly people. Here, we conducted a sub-analysis of MRI data and test scores from the same RCT to determine whether anserine/carnosine supplementation specifically benefits elderly people carrying the APOE e4 allele, which is a risk gene for accelerated brain aging and for the onset of Alzheimer’s Disease. We collected data from 68 participants aged 65 years or older who received anserine/carnosine supplementation (ACS) or placebo for 12 months. Subjects were assessed at the start and end of the trial using several neuropsychological tests, including the Wechsler Memory Scale-Logical Memory (WMS-LM). We also collected two types of MRI data, arterial spin labeling (ASL) and diffusion tensor imaging (DTI) at the start and end of the trial. We found that ACS significantly preserved verbal memory (WMS-LM, F[1,65] = 4.2003, p = 0.0445) and blood flow at frontal areas of the brain (FWEcluster level, p < 0.001). Sub-analysis based on the APOE4 genotype showed a significant preservation of blood flow (p = 0.002, by ASL analysis) and white-matter microstructure (p = 0.003, by DTI analysis) at prefrontal areas in APOE4+ subjects in the active group, while there was no significant difference between APOE4- subjects in the active and placebo groups. The effect of ACS in preserving brain structure and function in elderly people carrying APOE4 should be verified by further studies.
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Affiliation(s)
- Qiong Ding
- 1Department of Integrated Biosciences, Graduate School of Frontier Sciences, and
| | - Kitora Tanigawa
- 1Department of Integrated Biosciences, Graduate School of Frontier Sciences, and
| | - Jun Kaneko
- 1Department of Integrated Biosciences, Graduate School of Frontier Sciences, and
| | - Mamoru Totsuka
- 2Department of Applied Biochemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Tokyo, Japan
| | - Yoshinori Katakura
- 3Graduate School of Systems Life Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan
| | - Etsuko Imabayashi
- 4Integrative Brain Imaging Center (IBIC), National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Hiroshi Matsuda
- 4Integrative Brain Imaging Center (IBIC), National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Tatsuhiro Hisatsune
- 1Department of Integrated Biosciences, Graduate School of Frontier Sciences, and
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38
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Badrnya S, Doherty T, Richardson C, McConnell RI, Lamont JV, Veitinger M, FitzGerald SP, Zellner M, Umlauf E. Development of a new biochip array for APOE4 classification from plasma samples using immunoassay-based methods. Clin Chem Lab Med 2018; 56:796-802. [PMID: 29220880 DOI: 10.1515/cclm-2017-0618] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 10/31/2017] [Indexed: 01/17/2023]
Abstract
BACKGROUND Apolipoprotein E (APOE) is a key player in lipid transport and metabolism and exists in three common isoforms: APOE2, APOE3 and APOE4. The presence of the E4 allelic variant is recognized as a major genetic risk factor for dementia and other chronic (neuro)degenerative diseases. The availability of a validated assay for rapid and reliable APOE4 classification is therefore advantageous. METHODS Biochip array technology (BAT) was successfully applied to identify directly the APOE4 status from plasma within 3 h, through simultaneous immunoassay-based detection of both specific APOE4 and total APOE levels. RESULTS Samples (n=432) were first genotyped by polymerase chain reaction (PCR), and thereafter, using BAT, the corresponding plasma was identified as null, heterozygous or homozygous for the E4 allele by calculating the ratio of APOE4 to total APOE protein. Two centers based in Austria and Ireland correctly classified 170 and 262 samples, respectively, and achieved 100% sensitivity and specificity. CONCLUSIONS This chemiluminescent biochip-based sandwich immunoarray provides a novel platform to detect rapidly and accurately an individual's APOE4 status directly from plasma. The E4 genotype of individuals has been shown previously to affect presymptomatic risk, prognosis and treatment response for a variety of diseases, including Alzheimer's disease. The biochip's potential for being incorporated in quantitative protein biomarker arrays capable of analyzing disease stages makes it a superior alternative to PCR-based APOE genotyping and may deliver additional protein-specific information on a variety of diseases in the future.
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Affiliation(s)
- Sigrun Badrnya
- Centre of Physiology and Pharmacology, Institute of Physiology, Medical University of Vienna, Vienna, Austria
| | - Tara Doherty
- Randox Teoranta, Meenmore, Dungloe, Co., Donegal, Ireland
| | | | | | | | - Michael Veitinger
- Centre of Physiology and Pharmacology, Institute of Physiology, Medical University of Vienna, Vienna, Austria
| | | | - Maria Zellner
- Centre of Physiology and Pharmacology, Institute of Vascular Biology, Medical University of Vienna, Vienna, Austria
| | - Ellen Umlauf
- Centre of Physiology and Pharmacology, Institute of Physiology, Medical University of Vienna, Vienna, Austria
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East BS, Fleming G, Peng K, Olofsson JK, Levy E, Mathews PM, Wilson DA. Human Apolipoprotein E Genotype Differentially Affects Olfactory Behavior and Sensory Physiology in Mice. Neuroscience 2018; 380:103-110. [PMID: 29678753 DOI: 10.1016/j.neuroscience.2018.04.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 04/04/2018] [Accepted: 04/09/2018] [Indexed: 11/29/2022]
Abstract
Apolipoprotein E (ApoE) is an important lipid carrier in both the periphery and the brain. The ApoE ε4 allele (ApoE4) is the single most important genetic risk-factor for Alzheimer's disease (AD) while the ε2 allele (ApoE2) is associated with a lower risk of AD-related neurodegeneration compared to the most common variant, ε3 (ApoE3). ApoE genotype affects a variety of neural circuits; however, the olfactory system appears to provide early biomarkers of ApoE genotype effects. Here, we directly compared olfactory behavior and olfactory system physiology across all three ApoE genotypes in 6-month- and 12-month-old mice with targeted replacement for the human ApoE2, ApoE3, or ApoE4 genes. Odor investigation and habituation were assessed, along with, olfactory bulb and piriform cortical local field potential activity. The results demonstrate that while initial odor investigation was unaffected by ApoE genotype, odor habituation was impaired in E4 relative to E2 mice, with E3 mice intermediate in function. There was also significant deterioration of odor habituation from 6 to 12 months of age regardless of the ApoE genotype. Olfactory system excitability and odor responsiveness were similarly determined by ApoE genotype, with an ApoE4 > ApoE3 > ApoE2 excitability ranking. Although motivated behavior is influenced by many processes, hyper-excitability of ApoE4 mice may contribute to impaired odor habituation, while hypo-excitability of ApoE2 mice may contribute to its protective effects. Given that these ApoE mice do not have AD pathology, our results demonstrate how ApoE affects the olfactory system at early stages, prior to the development of AD.
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Affiliation(s)
- Brett S East
- Emotional Brain Institute, Nathan S. Kline Institute, Orangeburg, NY 10962, USA; Department of Child & Adolescent Psychiatry, New York University School of Medicine, New York, NY 10016, USA.
| | - Gloria Fleming
- Emotional Brain Institute, Nathan S. Kline Institute, Orangeburg, NY 10962, USA
| | - Kathy Peng
- Center for Dementia Research, Nathan S. Kline Institute, Orangeburg, NY 10962, USA; Department of Neurology, New York University School of Medicine, New York, NY 10016, USA
| | - Jonas K Olofsson
- Emotional Brain Institute, Nathan S. Kline Institute, Orangeburg, NY 10962, USA; Department of Child & Adolescent Psychiatry, New York University School of Medicine, New York, NY 10016, USA; Department of Psychology, Stockholm University, SE-10691 Stockholm, Sweden
| | - Efrat Levy
- Center for Dementia Research, Nathan S. Kline Institute, Orangeburg, NY 10962, USA; Department of Biochemistry & Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA; Department of Psychiatry, New York University School of Medicine, New York, NY 10016, USA; The Neuroscience Institute, New York University School of Medicine, New York, NY 10016, USA
| | - Paul M Mathews
- Center for Dementia Research, Nathan S. Kline Institute, Orangeburg, NY 10962, USA; Department of Psychiatry, New York University School of Medicine, New York, NY 10016, USA
| | - Donald A Wilson
- Emotional Brain Institute, Nathan S. Kline Institute, Orangeburg, NY 10962, USA; Department of Child & Adolescent Psychiatry, New York University School of Medicine, New York, NY 10016, USA; The Neuroscience Institute, New York University School of Medicine, New York, NY 10016, USA; Department of Neuroscience & Physiology, New York University School of Medicine, New York, NY 10016, USA
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40
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Prieto del Val L, Cantero JL, Baena D, Atienza M. Damage of the temporal lobe and APOE status determine neural compensation in mild cognitive impairment. Cortex 2018; 101:136-153. [DOI: 10.1016/j.cortex.2018.01.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 12/31/2017] [Accepted: 01/17/2018] [Indexed: 11/16/2022]
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41
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Dubey H, Gulati K, Ray A. Recent studies on cellular and molecular mechanisms in Alzheimer’s disease: focus on epigenetic factors and histone deacetylase. Rev Neurosci 2018; 29:241-260. [DOI: 10.1515/revneuro-2017-0049] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 08/28/2017] [Indexed: 01/06/2023]
Abstract
AbstractAlzheimer’s disease (AD) is one of the most common neurodegenerative disorders mainly affecting elderly people. It is characterized by progressive loss of memory and cognitive function. More than 95% of AD cases are related to sporadic or late-onset AD (LOAD). The etiology of LOAD is still unclear. It has been reported that environmental factors and epigenetic alterations play a significant role in AD pathogenesis. Furthermore, recently, genome-wide association studies (GWAS) identified 10 novel risk genes:ABCA7,APOE,BIN1,CD2AP,CD33,CLU,CR1,MS4A6A,MS4A4E, andPICALM, which play an important role for LOAD. In this review, the therapeutic approaches of AD by epigenetic modifications have been discussed. Nowadays, HDAC inhibitors have clinically proven its activity for epigenetic modifications. Furthermore, we try to establish the relationship between HDAC inhibitors and above mentioned LOAD risk genes. Finally, we are hoping that this review may open new area of research for AD treatment.
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42
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Ng KK, Qiu Y, Lo JCY, Koay ESC, Koh WP, Chee MWL, Zhou J. Functional segregation loss over time is moderated by APOE genotype in healthy elderly. Hum Brain Mapp 2018. [PMID: 29520911 DOI: 10.1002/hbm.24036] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
We investigated the influence of the apolipoprotein E-ɛ4 allele (APOE-ɛ4) on longitudinal age-related changes in brain functional connectivity (FC) and cognition, in view of mixed cross-sectional findings. One hundred and twenty-two healthy older adults (aged 58-79; 25 APOE-ɛ4 carriers) underwent task-free fMRI scans at baseline. Seventy-eight (16 carriers) had at least one follow-up (every 2 years). Changes in intra- and internetwork FCs among the default mode (DMN), executive control (ECN), and salience (SN) networks, as well as cognition, were quantified using linear mixed models. Cross-sectionally, APOE-ɛ4 carriers had lower functional connectivity between the ECN and SN than noncarriers. Carriers also showed a stronger age-dependent decrease in visuospatial memory performance. Longitudinally, carriers had steeper increase in inter-ECN-DMN FC, indicating loss of functional segregation. The longitudinal change in processing speed performance was not moderated by APOE-ɛ4 genotype, but the brain-cognition association was. In younger elderly, faster loss of segregation was correlated with greater decline in processing speed regardless of genotype. In older elderly, such relation remained for noncarriers but reversed for carriers. APOE-ɛ4 may alter aging by accelerating the change in segregation between high-level cognitive systems. Its modulation on the longitudinal brain-cognition relationship was age-dependent.
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Affiliation(s)
- Kwun Kei Ng
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-National University of Singapore Medical School, Singapore, 169857, Singapore
| | - Yingwei Qiu
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-National University of Singapore Medical School, Singapore, 169857, Singapore.,Department of Radiology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou Shi, Guangdong Sheng, 510000, China
| | - June Chi-Yan Lo
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-National University of Singapore Medical School, Singapore, 169857, Singapore
| | - Evelyn Siew-Chuan Koay
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117549, Singapore.,Molecular Diagnosis Centre, Department of Laboratory Medicine, National University Hospital, Singapore, 119074, Singapore
| | - Woon-Puay Koh
- Office of Clinical Sciences, Duke-National University of Singapore Medical School, Singapore, 169857, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore
| | - Michael Wei-Liang Chee
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-National University of Singapore Medical School, Singapore, 169857, Singapore
| | - Juan Zhou
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-National University of Singapore Medical School, Singapore, 169857, Singapore.,Clinical Imaging Research Centre, the Agency for Science, Technology and Research and National University of Singapore, Singapore, 117599, Singapore
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43
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Madan CR, Kensinger EA. Predicting age from cortical structure across the lifespan. Eur J Neurosci 2018; 47:399-416. [PMID: 29359873 PMCID: PMC5835209 DOI: 10.1111/ejn.13835] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 01/12/2018] [Accepted: 01/15/2018] [Indexed: 01/22/2023]
Abstract
Despite interindividual differences in cortical structure, cross-sectional and longitudinal studies have demonstrated a large degree of population-level consistency in age-related differences in brain morphology. This study assessed how accurately an individual's age could be predicted by estimates of cortical morphology, comparing a variety of structural measures, including thickness, gyrification and fractal dimensionality. Structural measures were calculated across up to seven different parcellation approaches, ranging from one region to 1000 regions. The age prediction framework was trained using morphological measures obtained from T1-weighted MRI volumes collected from multiple sites, yielding a training dataset of 1056 healthy adults, aged 18-97. Age predictions were calculated using a machine-learning approach that incorporated nonlinear differences over the lifespan. In two independent, held-out test samples, age predictions had a median error of 6-7 years. Age predictions were best when using a combination of cortical metrics, both thickness and fractal dimensionality. Overall, the results reveal that age-related differences in brain structure are systematic enough to enable reliable age prediction based on metrics of cortical morphology.
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Affiliation(s)
- Christopher R. Madan
- School of Psychology, University of Nottingham, Nottingham, UK
- Department of Psychology, Boston College, Chestnut Hill, MA, USA
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44
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Hwang JY, Byun MS, Choe YM, Lee JH, Yi D, Choi JW, Hwang SH, Lee YJ, Lee DY. Moderating effect of APOE ε4 on the relationship between sleep-wake cycle and brain β-amyloid. Neurology 2018; 90:e1167-e1173. [PMID: 29490913 DOI: 10.1212/wnl.0000000000005193] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 12/22/2017] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVES To clarify the relationships between sleep-wake cycle and cerebral β-amyloid (Aβ) deposition in cognitively normal (CN) older adults, focusing primarily on the moderating effects of the APOE ε4 allele. METHODS The present study included 133 CN older adults who participated in the Korean Brain Aging Study for Early Diagnosis & Prediction of Alzheimer's Disease cohort. All participants underwent [11C] Pittsburgh compound B-PET imaging to quantify Aβ deposition in the brain and blood sampling for APOE genotyping. Sleep and circadian parameters were measured using actigraphy for 8 consecutive days. RESULTS The APOE ε4 allele had moderating effects on the associations of sleep latency (SL), mesor, and acrophase with cerebral Aβ deposition, and the interactions between APOE ε4 status and SL and between APOE ε4 status and acrophase remained significant after adjusting for multiple comparisons. In APOE ε4 noncarriers, shorter SL, higher mesor, and advanced acrophase were associated with Aβ positivity. In contrast, APOE ε4 carriers showed a relationship between delayed acrophase and Aβ accumulation that approached but did not reach significance. After the Bonferroni correction, the associations of shorter SL and higher mesor with Aβ positivity remained significant for APOE ε4 noncarriers. CONCLUSIONS Our findings suggest that the APOE ε4 allele may act as a moderator in the relationship between the sleep-wake cycle and Aβ accumulation in CN older adults. Thus, APOE ε4 status needs to be considered as a key factor when designing related research or interventions.
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Affiliation(s)
- Jeong Yeon Hwang
- From the Department of Psychiatry (Y.J.L., D.Y.L.), Seoul National University College of Medicine (J.Y.H.); Medical Research Center, Institute of Human Behavioral Medicine (M.S.B., D.Y.L.), Seoul National University; Department of Neuropsychiatry (Y.M.C.), University of Ulsan College of Medicine, Ulsan University Hospital; Department of Psychiatry (J.-W.C.), Eulji General Hospital; Department of Neuropsychiatry (J.H.L., Y.J.L., D.Y.L.), Center for Sleep and Chronobiology (Y.J.L.), Seoul National University Hospital; and Health Service Group (S.H.H.), Samsung Electronics, Co., Ltd., Suwon, Republic of Korea
| | - Min Soo Byun
- From the Department of Psychiatry (Y.J.L., D.Y.L.), Seoul National University College of Medicine (J.Y.H.); Medical Research Center, Institute of Human Behavioral Medicine (M.S.B., D.Y.L.), Seoul National University; Department of Neuropsychiatry (Y.M.C.), University of Ulsan College of Medicine, Ulsan University Hospital; Department of Psychiatry (J.-W.C.), Eulji General Hospital; Department of Neuropsychiatry (J.H.L., Y.J.L., D.Y.L.), Center for Sleep and Chronobiology (Y.J.L.), Seoul National University Hospital; and Health Service Group (S.H.H.), Samsung Electronics, Co., Ltd., Suwon, Republic of Korea
| | - Young Min Choe
- From the Department of Psychiatry (Y.J.L., D.Y.L.), Seoul National University College of Medicine (J.Y.H.); Medical Research Center, Institute of Human Behavioral Medicine (M.S.B., D.Y.L.), Seoul National University; Department of Neuropsychiatry (Y.M.C.), University of Ulsan College of Medicine, Ulsan University Hospital; Department of Psychiatry (J.-W.C.), Eulji General Hospital; Department of Neuropsychiatry (J.H.L., Y.J.L., D.Y.L.), Center for Sleep and Chronobiology (Y.J.L.), Seoul National University Hospital; and Health Service Group (S.H.H.), Samsung Electronics, Co., Ltd., Suwon, Republic of Korea
| | - Jun Ho Lee
- From the Department of Psychiatry (Y.J.L., D.Y.L.), Seoul National University College of Medicine (J.Y.H.); Medical Research Center, Institute of Human Behavioral Medicine (M.S.B., D.Y.L.), Seoul National University; Department of Neuropsychiatry (Y.M.C.), University of Ulsan College of Medicine, Ulsan University Hospital; Department of Psychiatry (J.-W.C.), Eulji General Hospital; Department of Neuropsychiatry (J.H.L., Y.J.L., D.Y.L.), Center for Sleep and Chronobiology (Y.J.L.), Seoul National University Hospital; and Health Service Group (S.H.H.), Samsung Electronics, Co., Ltd., Suwon, Republic of Korea
| | - Dahyun Yi
- From the Department of Psychiatry (Y.J.L., D.Y.L.), Seoul National University College of Medicine (J.Y.H.); Medical Research Center, Institute of Human Behavioral Medicine (M.S.B., D.Y.L.), Seoul National University; Department of Neuropsychiatry (Y.M.C.), University of Ulsan College of Medicine, Ulsan University Hospital; Department of Psychiatry (J.-W.C.), Eulji General Hospital; Department of Neuropsychiatry (J.H.L., Y.J.L., D.Y.L.), Center for Sleep and Chronobiology (Y.J.L.), Seoul National University Hospital; and Health Service Group (S.H.H.), Samsung Electronics, Co., Ltd., Suwon, Republic of Korea
| | - Jae-Won Choi
- From the Department of Psychiatry (Y.J.L., D.Y.L.), Seoul National University College of Medicine (J.Y.H.); Medical Research Center, Institute of Human Behavioral Medicine (M.S.B., D.Y.L.), Seoul National University; Department of Neuropsychiatry (Y.M.C.), University of Ulsan College of Medicine, Ulsan University Hospital; Department of Psychiatry (J.-W.C.), Eulji General Hospital; Department of Neuropsychiatry (J.H.L., Y.J.L., D.Y.L.), Center for Sleep and Chronobiology (Y.J.L.), Seoul National University Hospital; and Health Service Group (S.H.H.), Samsung Electronics, Co., Ltd., Suwon, Republic of Korea
| | - Su Hwan Hwang
- From the Department of Psychiatry (Y.J.L., D.Y.L.), Seoul National University College of Medicine (J.Y.H.); Medical Research Center, Institute of Human Behavioral Medicine (M.S.B., D.Y.L.), Seoul National University; Department of Neuropsychiatry (Y.M.C.), University of Ulsan College of Medicine, Ulsan University Hospital; Department of Psychiatry (J.-W.C.), Eulji General Hospital; Department of Neuropsychiatry (J.H.L., Y.J.L., D.Y.L.), Center for Sleep and Chronobiology (Y.J.L.), Seoul National University Hospital; and Health Service Group (S.H.H.), Samsung Electronics, Co., Ltd., Suwon, Republic of Korea
| | - Yu Jin Lee
- From the Department of Psychiatry (Y.J.L., D.Y.L.), Seoul National University College of Medicine (J.Y.H.); Medical Research Center, Institute of Human Behavioral Medicine (M.S.B., D.Y.L.), Seoul National University; Department of Neuropsychiatry (Y.M.C.), University of Ulsan College of Medicine, Ulsan University Hospital; Department of Psychiatry (J.-W.C.), Eulji General Hospital; Department of Neuropsychiatry (J.H.L., Y.J.L., D.Y.L.), Center for Sleep and Chronobiology (Y.J.L.), Seoul National University Hospital; and Health Service Group (S.H.H.), Samsung Electronics, Co., Ltd., Suwon, Republic of Korea.
| | - Dong Young Lee
- From the Department of Psychiatry (Y.J.L., D.Y.L.), Seoul National University College of Medicine (J.Y.H.); Medical Research Center, Institute of Human Behavioral Medicine (M.S.B., D.Y.L.), Seoul National University; Department of Neuropsychiatry (Y.M.C.), University of Ulsan College of Medicine, Ulsan University Hospital; Department of Psychiatry (J.-W.C.), Eulji General Hospital; Department of Neuropsychiatry (J.H.L., Y.J.L., D.Y.L.), Center for Sleep and Chronobiology (Y.J.L.), Seoul National University Hospital; and Health Service Group (S.H.H.), Samsung Electronics, Co., Ltd., Suwon, Republic of Korea
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Yuan B, Chen J, Gong L, Shu H, Liao W, Wang Z, Liu D, Xie C, Zhang Z. Mediation of episodic memory performance by the executive function network in patients with amnestic mild cognitive impairment: a resting-state functional MRI study. Oncotarget 2018; 7:64711-64725. [PMID: 27589839 PMCID: PMC5323110 DOI: 10.18632/oncotarget.11775] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Accepted: 07/18/2016] [Indexed: 12/13/2022] Open
Abstract
Deficits in episodic memory (EM) are a hallmark clinical symptom of patients with amnestic mild cognitive impairment (aMCI). Impairments in executive function (EF) are widely considered to exacerbate memory deficits and to increase the risk of conversion from aMCI to Alzheimer's disease (AD). However, the specific mechanisms underlying the interaction between executive dysfunction and memory deficits in aMCI patients remain unclear. Thus, the present study utilized resting-state functional magnetic resonance imaging (fMRI) scans of the EF network and the EM network to investigate this relationship in 79 aMCI patients and 119 healthy controls (HC). The seeds were obtained from the results of a regional homogeneity (ReHo) analysis. Functional connectivity (FC) within the EM network was determined using a seed in the right retrosplenial cortex (RSC), and FC within EF network was assessed using seeds in the right dorsolateral prefrontal cortex (DLPFC). There was a significant negative correlation between EM scores and EF scores in both the aMCI and HC groups. Compared to the HC group, aMCI patients had reduced right RSC connectivity but enhanced right DLPFC connectivity. The overlapping brain regions between the EM and EF networks were associated with FC in the right inferior parietal lobule (IPL) in the right RSC network, and in the bilateral middle cingulate cortex (MCC) and left IPL in the right DLPFC network. A mediation analysis revealed that the EF network had an indirect positive effect on EM performance in the aMCI patients. The present findings provide new insights into the neural mechanisms underlying the interaction between impaired EF and memory deficits in aMCI patients and suggest that the EF network may mediate EM performance in this population.
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Affiliation(s)
- Baoyu Yuan
- Department of Neurology, ZhongDa Hospital, Neuropsychiatric Institute, Medical School of Southeast University, Nanjing, PR China
| | - Jiu Chen
- Department of Neurology, ZhongDa Hospital, Neuropsychiatric Institute, Medical School of Southeast University, Nanjing, PR China
| | - Liang Gong
- Department of Neurology, ZhongDa Hospital, Neuropsychiatric Institute, Medical School of Southeast University, Nanjing, PR China
| | - Hao Shu
- Department of Neurology, ZhongDa Hospital, Neuropsychiatric Institute, Medical School of Southeast University, Nanjing, PR China
| | - Wenxiang Liao
- Department of Neurology, ZhongDa Hospital, Neuropsychiatric Institute, Medical School of Southeast University, Nanjing, PR China
| | - Zan Wang
- Department of Neurology, ZhongDa Hospital, Neuropsychiatric Institute, Medical School of Southeast University, Nanjing, PR China
| | - Duan Liu
- Department of Neurology, ZhongDa Hospital, Neuropsychiatric Institute, Medical School of Southeast University, Nanjing, PR China
| | - Chunming Xie
- Department of Neurology, ZhongDa Hospital, Neuropsychiatric Institute, Medical School of Southeast University, Nanjing, PR China
| | - Zhijun Zhang
- Department of Neurology, ZhongDa Hospital, Neuropsychiatric Institute, Medical School of Southeast University, Nanjing, PR China
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Mandecka M, Budziszewska M, Barczak A, Pepłońska B, Chodakowska-Żebrowska M, Filipek-Gliszczyńska A, Nesteruk M, Styczyńska M, Barcikowska M, Gabryelewicz T. Association between Cerebrospinal Fluid Biomarkers for Alzheimer's Disease, APOE Genotypes and Auditory Verbal Learning Task in Subjective Cognitive Decline, Mild Cognitive Impairment, and Alzheimer's Disease. J Alzheimers Dis 2018; 54:157-68. [PMID: 27472875 DOI: 10.3233/jad-160176] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
In the course of Alzheimer's disease (AD), early pathological changes in the brain start decades before any clinical manifestation. The concentration levels of AD cerebrospinal fluid (CSF) biomarkers, such as amyloid-β1-42 (Aβ1-42), total tau (T-tau), and phosphorylated tau (P-tau), may reflect a cerebral pathology facilitating an early diagnosis of the disease and predicting a cognitive deterioration. The aim of this study was to estimate the prevalence of AD CSF biomarkers in those individuals with a subjective cognitive decline (SCD), a mild cognitive impairment (MCI), and Alzheimer's dementia (AD-D), together with the relationships between the biomarkers, an APOE ɛ4 presence, and a verbal episodic memory performance. We included 252 patients from the memory clinic with a diagnosis of SCD (n = 85), MCI (n = 87), and AD-D (n = 80). A verbal episodic memory performance level was assessed and was based on a delayed recall trial from the 10-word list of an auditory verbal learning task (AVLT). We found that the patients with more severe cognitive impairments had significantly lower levels of Aβ1-42 and higher levels of T-tau and P-tau. This pattern was also typical for the APOE ɛ4 carriers, who had lower levels of Aβ1-42 than the noncarriers in the AD-D and MCI groups. The levels of T-tau and P-tau were significantly higher in the APOE ɛ4 carriers than in the noncarriers, but only in the MCI patients. The AVLT performance in the whole study samples was predicted by age, Aβ1-42, and the T-tau CSF biomarkers, but not by the APOE genotyping.
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Affiliation(s)
- Monika Mandecka
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | | | - Anna Barczak
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | - Beata Pepłońska
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | | | | | | | - Maria Styczyńska
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | - Maria Barcikowska
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
| | - Tomasz Gabryelewicz
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Center, Polish Academy of Science, Warsaw, Poland
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47
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Taylor WD, Boyd B, Turner R, McQuoid DR, Ashley-Koch A, MacFall JR, Saleh A, Potter GG. APOE ε4 associated with preserved executive function performance and maintenance of temporal and cingulate brain volumes in younger adults. Brain Imaging Behav 2018; 11:194-204. [PMID: 26843007 DOI: 10.1007/s11682-016-9522-9] [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: 10/22/2022]
Abstract
The APOE ε4 allele is associated with cognitive deficits and brain atrophy in older adults, but studies in younger adults are mixed. We examined APOE genotype effects on cognition and brain structure in younger adults and whether genotype effects differed by age and with presence of depression. 157 adults (32 % ε4 carriers, 46 % depressed) between 20 and 50 years of age completed neuropsychological testing, 131 of which also completed 3 T cranial MRI. We did not observe a direct effect of APOE genotype on cognitive performance or structural MRI measures. A significant genotype by age interaction was observed for executive function, where age had less of an effect on executive function in ε4 carriers. Similar interactions were observed for the entorhinal cortex, rostral and caudal anterior cingulate cortex and parahippocampal gyrus, where the effect of age on regional volumes was reduced in ε4 carriers. There were no significant interactions between APOE genotype and depression diagnosis. The ε4 allele benefits younger adults by allowing them to maintain executive function performance and volumes of cingulate and temporal cortex regions with aging, at least through age fifty years.
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Affiliation(s)
- Warren D Taylor
- The Geriatric Research, Education, and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN, 37212, USA. .,The Center for Cognitive Medicine, Department of Psychiatry, Vanderbilt University Medical Center, 1601 23rd Avenue South, Nashville, TN, 37212, USA.
| | - Brian Boyd
- The Center for Cognitive Medicine, Department of Psychiatry, Vanderbilt University Medical Center, 1601 23rd Avenue South, Nashville, TN, 37212, USA
| | - Rachel Turner
- The Center for Cognitive Medicine, Department of Psychiatry, Vanderbilt University Medical Center, 1601 23rd Avenue South, Nashville, TN, 37212, USA
| | - Douglas R McQuoid
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, 27710, USA
| | - Allison Ashley-Koch
- Center for Human Disease Modeling and Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - James R MacFall
- Department of Radiology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Ayman Saleh
- The Geriatric Research, Education, and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN, 37212, USA
| | - Guy G Potter
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, 27710, USA
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48
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Lin L, Xing G, Han Y. Advances in Resting State Neuroimaging of Mild Cognitive Impairment. Front Psychiatry 2018; 9:671. [PMID: 30574100 PMCID: PMC6291484 DOI: 10.3389/fpsyt.2018.00671] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 11/21/2018] [Indexed: 01/27/2023] Open
Abstract
The rapidly increasing number of patients with Alzheimer's disease (AD) worldwide has become a major public concern. Mild cognitive impairment (MCI), characterized with accelerated memory decline than normal aging, is a stage between cognitively unimpaired and dementia. Identification of MCI in the Alzheimer's continuum from normal aging, is important for early diagnosis and improved intervention of AD. The imaging technique has been extensively used for diagnose and understanding the mechanisms of MCI. Firstly, we review the recent progresses in the research framework of MCI depending on the clinical and/or biomarker findings. Secondly, we cover studies that use of rs-fMRI (resting state functional magnetic resonance imaging) for the brain activities and functional connectivity between normal aging and MCI. Other methodologies and multi-modal studies for investigating the mechanism and early diagnosis of MCI are also discussed. Finally, we discuss how genetic and environmental factors such as education could interact with in MCI. Overall, MCI is a heterogeneous state and employing resting state neuroimaging with other AD biomarker approaches will be able to target in the more precise population and AD-related pathology process.
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Affiliation(s)
- Li Lin
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Guoqiang Xing
- Department of Imaging & Imaging Institute of Rehabilitation and Development of Brain Function, The Second Clinical Institute of North Sichuan Medical College, Nanchong Central Hospital, Nanchong, China
| | - Ying Han
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.,Beijing Institute of Geriatrics, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
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49
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Zhou J, Liu S, Ng KK, Wang J. Applications of Resting-State Functional Connectivity to Neurodegenerative Disease. Neuroimaging Clin N Am 2017; 27:663-683. [DOI: 10.1016/j.nic.2017.06.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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50
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Chiesa PA, Cavedo E, Lista S, Thompson PM, Hampel H. Revolution of Resting-State Functional Neuroimaging Genetics in Alzheimer's Disease. Trends Neurosci 2017; 40:469-480. [PMID: 28684173 PMCID: PMC5798613 DOI: 10.1016/j.tins.2017.06.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 06/02/2017] [Accepted: 06/06/2017] [Indexed: 12/30/2022]
Abstract
The quest to comprehend genetic, biological, and symptomatic heterogeneity underlying Alzheimer's disease (AD) requires a deep understanding of mechanisms affecting complex brain systems. Neuroimaging genetics is an emerging field that provides a powerful way to analyze and characterize intermediate biological phenotypes of AD. Here, we describe recent studies showing the differential effect of genetic risk factors for AD on brain functional connectivity in cognitively normal, preclinical, prodromal, and AD dementia individuals. Functional neuroimaging genetics holds particular promise for the characterization of preclinical populations; target populations for disease prevention and modification trials. To this end, we emphasize the need for a paradigm shift towards integrative disease modeling and neuroimaging biomarker-guided precision medicine for AD and other neurodegenerative diseases.
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Affiliation(s)
- Patrizia A Chiesa
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universities, Pierre and Marie Curie University, Paris 06, Institute of Memory and Alzheimer's Disease (IM2A) & Brain and Spine Institute (ICM) UMR S 1127, Department of Neurology, Pitié-Salpêtrière Hospital, Paris, France.
| | - Enrica Cavedo
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universities, Pierre and Marie Curie University, Paris 06, Institute of Memory and Alzheimer's Disease (IM2A) & Brain and Spine Institute (ICM) UMR S 1127, Department of Neurology, Pitié-Salpêtrière Hospital, Paris, France; Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Simone Lista
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universities, Pierre and Marie Curie University, Paris 06, Institute of Memory and Alzheimer's Disease (IM2A) & Brain and Spine Institute (ICM) UMR S 1127, Department of Neurology, Pitié-Salpêtrière Hospital, Paris, France
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90232, USA
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Paris, France; Sorbonne Universities, Pierre and Marie Curie University, Paris 06, Institute of Memory and Alzheimer's Disease (IM2A) & Brain and Spine Institute (ICM) UMR S 1127, Department of Neurology, Pitié-Salpêtrière Hospital, Paris, France.
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