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Sun H, Mehta S, Khaitova M, Cheng B, Hao X, Spann M, Scheinost D. Brain age prediction and deviations from normative trajectories in the neonatal connectome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.23.590811. [PMID: 38712238 PMCID: PMC11071351 DOI: 10.1101/2024.04.23.590811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Structural and functional connectomes undergo rapid changes during the third trimester and the first month of postnatal life. Despite progress, our understanding of the developmental trajectories of the connectome in the perinatal period remains incomplete. Brain age prediction uses machine learning to estimate the brain's maturity relative to normative data. The difference between the individual's predicted and chronological age-or brain age gap (BAG)-represents the deviation from these normative trajectories. Here, we assess brain age prediction and BAGs using structural and functional connectomes for infants in the first month of life. We used resting-state fMRI and DTI data from 611 infants (174 preterm; 437 term) from the Developing Human Connectome Project (dHCP) and connectome-based predictive modeling to predict postmenstrual age (PMA). Structural and functional connectomes accurately predicted PMA for term and preterm infants. Predicted ages from each modality were correlated. At the network level, nearly all canonical brain networks-even putatively later developing ones-generated accurate PMA prediction. Additionally, BAGs were associated with perinatal exposures and toddler behavioral outcomes. Overall, our results underscore the importance of normative modeling and deviations from these models during the perinatal period.
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2
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Ogonowski NS, García-Marín LM, Fernando AS, Flores-Ocampo V, Rentería ME. Impact of genetic predisposition to late-onset neurodegenerative diseases on early life outcomes and brain structure. Transl Psychiatry 2024; 14:185. [PMID: 38605018 PMCID: PMC11009228 DOI: 10.1038/s41398-024-02898-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 04/13/2024] Open
Abstract
Most patients with late-onset neurodegenerative diseases such as Alzheimer's and Parkinson's have a complex aetiology resulting from numerous genetic risk variants of small effects located across the genome, environmental factors, and the interaction between genes and environment. Over the last decade, genome-wide association studies (GWAS) and post-GWAS analyses have shed light on the polygenic architecture of these diseases, enabling polygenic risk scores (PRS) to estimate an individual's relative genetic liability for presenting with the disease. PRS can screen and stratify individuals based on their genetic risk, potentially years or even decades before the onset of clinical symptoms. An emerging body of evidence from various research studies suggests that genetic susceptibility to late-onset neurodegenerative diseases might impact early life outcomes, including cognitive function, brain structure and function, and behaviour. This article summarises recent findings exploring the potential impact of genetic susceptibility to neurodegenerative diseases on early life outcomes. A better understanding of the impact of genetic susceptibility to neurodegenerative diseases early in life could be valuable in disease screening, detection, and prevention and in informing treatment strategies before significant neural damage has occurred. However, ongoing studies have limitations. Overall, our review found several studies focused on APOE haplotypes and Alzheimer's risk, but a limited number of studies leveraging polygenic risk scores or focused on genetic susceptibility to other late-onset conditions.
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Affiliation(s)
- Natalia S Ogonowski
- Mental Health & Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Luis M García-Marín
- Mental Health & Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Amali S Fernando
- Mental Health & Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Victor Flores-Ocampo
- Mental Health & Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Miguel E Rentería
- Mental Health & Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
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3
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Vance JM, Farrer LA, Huang Y, Cruchaga C, Hyman BT, Pericak-Vance MA, Goate AM, Greicius MD, Griswold AJ, Haines JL, Tcw J, Schellenberg GD, Tsai LH, Herz J, Holtzman DM. Report of the APOE4 National Institute on Aging/Alzheimer Disease Sequencing Project Consortium Working Group: Reducing APOE4 in Carriers is a Therapeutic Goal for Alzheimer's Disease. Ann Neurol 2024; 95:625-634. [PMID: 38180638 DOI: 10.1002/ana.26864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 12/06/2023] [Accepted: 12/09/2023] [Indexed: 01/06/2024]
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder and one of the leading causes of disability worldwide. The apolipoprotein E4 gene (APOE4) is the strongest genetic risk factor for AD. In 2023, the APOE4 National Institute on Aging/Alzheimer's Disease Sequencing Project working group came together to gather data and discuss the question of whether to reduce or increase APOE4 as a therapeutic intervention for AD. It was the unanimous consensus that cumulative data from multiple studies in humans and animal models support that lowering APOE4 should be a target for therapeutic approaches for APOE4 carriers. ANN NEUROL 2024;95:625-634.
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Affiliation(s)
- Jeffery M Vance
- John T. McDonald Department of Human Genetics, John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Lindsay A Farrer
- Departments of Medicine (Biomedical Genetics), Neurology and Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Departments of Epidemiology and Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yadong Huang
- Department of Neurology, Gladstone Center for Translational Advancement, Gladstone Institute of Neurological Disease, University of California, San Francisco, San Francisco, CA, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Bradley T Hyman
- Alzheimer Research Unit, Department of Neurology, The Massachusetts General Hospital Institute for Neurodegenerative Disease, Harvard Medical School, Boston, MA, USA
| | - Margaret A Pericak-Vance
- John T. McDonald Department of Human Genetics, John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Alison M Goate
- Departments of Genetics & Genomic Sciences, Ronald M. Loeb Center for Alzheimer's disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Anthony J Griswold
- John P. Hussman Institute for Human Genomics, The Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jonathan L Haines
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Julia Tcw
- Departments of Pharmacology, Physiology & Biophysics, Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Bioinformatics Program, Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Li-Huei Tsai
- Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Joachim Herz
- Departments of Molecular Genetics, Neuroscience, Neurology, Center for Translational Neurodegeneration Research, UT Southwestern, Dallas, TX, USA
| | - David M Holtzman
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
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4
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Lima-Cooper G, Ouma BJ, Datta D, Bond C, Soto AA, Conroy AL, Park GS, Bangirana P, Joloba ML, Opoka RO, Idro R, John CC. Apolipoprotein-E4: risk of severe malaria and mortality and cognitive impairment in pediatric cerebral malaria. Pediatr Res 2023:10.1038/s41390-023-02912-8. [PMID: 38007518 DOI: 10.1038/s41390-023-02912-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 10/21/2023] [Accepted: 11/02/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND The relationship of apolipoprotein-E4 (APOE4) to mortality and cognition after severe malaria in children is unknown. METHODS APOE genotyping was performed in children with cerebral malaria (CM, n = 261), severe malarial anemia (SMA, n = 224) and community children (CC, n = 213). Cognition was assessed over 2-year follow-up. RESULTS A greater proportion of children with CM or SMA than CC had APOE4 (n = 162, 31.0%; n = 142, 31.7%; n = 103, 24.2%, respectively, p = 0.02), but no difference was seen in APOE3 (n = 310, 59.4%; n = 267, 59.6%; n = 282, 66.2%, respectively, p = 0.06), or APOE2 (n = 50, 9.6%; n = 39, 8.7%; and n = 41, 9.6%, respectively, p = 0.87). APOE4 was associated with increased mortality in CM (odds ratio, 2.28; 95% CI, 1.01, 5.11). However, APOE4 was associated with better long-term cognition (ß, 0.55; 95% CI, 0.04, 1.07, p = 0.04) and attention (ß 0.78; 95% CI, 0.26, 1.30, p = 0.004) in children with CM < 5 years old, but worse attention (ß, -0.90; 95% CI, -1.69, -0.10, p = 0.03) in children with CM ≥ 5 years old. Among children with CM, risk of post-discharge malaria was increased with APOE4 and decreased with APOE3. CONCLUSIONS APOE4 is associated with higher risk of CM or SMA and mortality in children with CM, but better long-term cognition in CM survivors <5 years of age.
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Affiliation(s)
- Giselle Lima-Cooper
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benson J Ouma
- Department of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Dibyadyuti Datta
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Caitlin Bond
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Alejandro A Soto
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andrea L Conroy
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Gregory S Park
- Office of the Vice President for Research, University of Minnesota, Minneapolis, MN, USA
| | - Paul Bangirana
- Department of Psychiatry, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Moses L Joloba
- Department of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Robert O Opoka
- Department of Pediatrics and Child Health, Makerere University, Kampala, Uganda
| | - Richard Idro
- Department of Pediatrics and Child Health, Makerere University, Kampala, Uganda
- Nuffield Department of Medicine, Centre of Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | - Chandy C John
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, IN, USA.
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5
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Walhovd KB, Lövden M, Fjell AM. Timing of lifespan influences on brain and cognition. Trends Cogn Sci 2023; 27:901-915. [PMID: 37563042 DOI: 10.1016/j.tics.2023.07.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/04/2023] [Accepted: 07/04/2023] [Indexed: 08/12/2023]
Abstract
Modifiable risk and protective factors for boosting brain and cognitive development and preventing neurodegeneration and cognitive decline are embraced in neuroimaging studies. We call for sobriety regarding the timing and quantity of such influences on brain and cognition. Individual differences in the level of brain and cognition, many of which present already at birth and early in development, appear stable, larger, and more pervasive than differences in change across the lifespan. Incorporating early-life factors, including genetics, and investigating both level and change will reduce the risk of ascribing undue importance and causality to proximate factors in adulthood and older age. This has implications for both mechanistic understanding and prevention.
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Affiliation(s)
- Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
| | - Martin Lövden
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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6
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Harrison JR, Foley SF, Baker E, Bracher-Smith M, Holmans P, Stergiakouli E, Linden DEJ, Caseras X, Jones DK, Escott-Price V. Pathway-specific polygenic scores for Alzheimer's disease are associated with changes in brain structure in younger and older adults. Brain Commun 2023; 5:fcad229. [PMID: 37744023 PMCID: PMC10517196 DOI: 10.1093/braincomms/fcad229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 05/17/2023] [Accepted: 08/23/2023] [Indexed: 09/26/2023] Open
Abstract
Genome-wide association studies have identified multiple Alzheimer's disease risk loci with small effect sizes. Polygenic risk scores, which aggregate these variants, are associated with grey matter structural changes. However, genome-wide scores do not allow mechanistic interpretations. The present study explored associations between disease pathway-specific scores and grey matter structure in younger and older adults. Data from two separate population cohorts were used as follows: the Avon Longitudinal Study of Parents and Children, mean age 19.8, and UK Biobank, mean age 64.4 (combined n = 18 689). Alzheimer's polygenic risk scores were computed using the largest genome-wide association study of clinically assessed Alzheimer's to date. Relationships between subcortical volumes and cortical thickness, pathway-specific scores and genome-wide scores were examined. Increased pathway-specific scores were associated with reduced cortical thickness in both the younger and older cohorts. For example, the reverse cholesterol transport pathway score showed evidence of association with lower left middle temporal cortex thickness in the younger Avon participants (P = 0.034; beta = -0.013, CI -0.025, -0.001) and in the older UK Biobank participants (P = 0.019; beta = -0.003, CI -0.005, -4.56 × 10-4). Pathway scores were associated with smaller subcortical volumes, such as smaller hippocampal volume, in UK Biobank older adults. There was also evidence of positive association between subcortical volumes in Avon younger adults. For example, the tau protein-binding pathway score was negatively associated with left hippocampal volume in UK Biobank (P = 8.35 × 10-05; beta = -11.392, CI -17.066, -5.718) and positively associated with hippocampal volume in the Avon study (P = 0.040; beta = 51.952, CI 2.445, 101.460). The immune response score had a distinct pattern of association, being only associated with reduced thickness in the right posterior cingulate in older and younger adults (P = 0.011; beta = -0.003, CI -0.005, -0.001 in UK Biobank; P = 0.034; beta = -0.016, CI -0.031, -0.001 in the Avon study). The immune response score was associated with smaller subcortical volumes in the older adults, but not younger adults. The disease pathway scores showed greater evidence of association with imaging phenotypes than the genome-wide score. This suggests that pathway-specific polygenic methods may allow progress towards a mechanistic understanding of structural changes linked to polygenic risk in pre-clinical Alzheimer's disease. Pathway-specific profiling could further define pathophysiology in individuals, moving towards precision medicine in Alzheimer's disease.
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Affiliation(s)
- Judith R Harrison
- Institute of Neuroscience, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK
| | - Sonya F Foley
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK
| | - Emily Baker
- Dementia Research Institute & MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Matthew Bracher-Smith
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Peter Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Evie Stergiakouli
- Bristol Population Health Science Institute, Bristol University, Oakfield House, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK
- Mary MacKillop Institute for Health Research, Australian Catholic University, 5/215 Spring St, Melbourne, VIC 3000, Australia
| | - Valentina Escott-Price
- Dementia Research Institute & MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
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7
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Pluck G. The Misguided Veneration of Averageness in Clinical Neuroscience: A Call to Value Diversity over Typicality. Brain Sci 2023; 13:860. [PMID: 37371340 DOI: 10.3390/brainsci13060860] [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: 05/08/2023] [Revised: 05/16/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Research and practice in clinical neurosciences often involve cognitive assessment. However, this has traditionally used a nomothetic approach, comparing the performance of patients to normative samples. This method of defining abnormality places the average test performance of neurologically healthy individuals at its center. However, evidence suggests that neurological 'abnormalities' are very common, as is the diversity of cognitive abilities. The veneration of central tendency in cognitive assessment, i.e., equating typicality with healthy or ideal, is, I argue, misguided on neurodiversity, bio-evolutionary, and cognitive neuroscientific grounds. Furthermore, the use of average performance as an anchor point for normal performance is unreliable in practice and frequently leads to the mischaracterization of cognitive impairments. Examples are explored of how individuals who are already vulnerable for socioeconomic reasons can easily be over-pathologized. At a practical level, by valuing diversity rather than typicality, cognitive assessments can become more idiographic and focused on change at the level of the individual. The use of existing methods that approach cognitive assessment ideographically is briefly discussed, including premorbid estimation methods and informant reports. Moving the focus away from averageness to valuing diversity for both clinical cognitive assessments and inclusion of diverse groups in research is, I argue, a more just and effective way forward for clinical neurosciences.
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Affiliation(s)
- Graham Pluck
- Clinical Cognitive Sciences Laboratory, Faculty of Psychology, Chulalongkorn University, Borommaratchachonnani Srisattaphat Building, 254 Phayathai Road, Bangkok 10330, Thailand
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8
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Alex AM, Buss C, Davis EP, Campos GDL, Donald KA, Fair DA, Gaab N, Gao W, Gilmore JH, Girault JB, Grewen K, Groenewold NA, Hankin BL, Ipser J, Kapoor S, Kim P, Lin W, Luo S, Norton ES, O'Connor TG, Piven J, Qiu A, Rasmussen JM, Skeide MA, Stein DJ, Styner MA, Thompson PM, Wakschlag L, Knickmeyer R. Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders. Biol Psychiatry 2023; 93:905-920. [PMID: 36932005 PMCID: PMC10136952 DOI: 10.1016/j.biopsych.2023.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 01/30/2023]
Abstract
Imaging genetics provides an opportunity to discern associations between genetic variants and brain imaging phenotypes. Historically, the field has focused on adults and adolescents; very few imaging genetics studies have focused on brain development in infancy and early childhood (from birth to age 6 years). This is an important knowledge gap because developmental changes in the brain during the prenatal and early postnatal period are regulated by dynamic gene expression patterns that likely play an important role in establishing an individual's risk for later psychiatric illness and neurodevelopmental disabilities. In this review, we summarize findings from imaging genetics studies spanning from early infancy to early childhood, with a focus on studies examining genetic risk for neuropsychiatric disorders. We also introduce the Organization for Imaging Genomics in Infancy (ORIGINs), a working group of the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium, which was established to facilitate large-scale imaging genetics studies in infancy and early childhood.
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Affiliation(s)
- Ann M Alex
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan
| | - Claudia Buss
- Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Medical Psychology, Berlin, Germany; Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Elysia Poggi Davis
- Department of Pediatrics, University of California Irvine, Irvine, California; Department of Psychology, University of Denver, Denver, Colorado
| | - Gustavo de Los Campos
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Departments of Epidemiology & Biostatistics, Michigan State University, East Lansing, Michigan; Department of Statistics & Probability, Michigan State University, East Lansing, Michigan
| | - Kirsten A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Damien A Fair
- Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, Minnesota; Institute of Child Development, College of Education and Human Development, University of Minnesota, Minneapolis, Minnesota; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nadine Gaab
- Harvard Graduate School of Education, Harvard University, Cambridge, Massachusetts
| | - Wei Gao
- Cedars-Sinai Biomedical Imaging Research Institute, Los Angeles, California; Departments of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, California
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Karen Grewen
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Nynke A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa; South African Medical Research Council Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa; Department of Paediatrics and Child Health, University of Cape Town, Faculty of Health Sciences, Cape Town, South Africa
| | - Benjamin L Hankin
- Psychology Department, University of Illinois Urbana,-Champaign, Illinois
| | - Jonathan Ipser
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Shreya Kapoor
- Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Pilyoung Kim
- Department of Psychology, University of Denver, Denver, Colorado
| | - Weili Lin
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Shan Luo
- Department of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California; Department of Psychology, University of Southern California, Los Angeles, California; Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, California
| | - Elizabeth S Norton
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois; Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, New York
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore; NUS (Suzhou) Research Institute, National University of Singapore, China; the Institute for Health, National University of Singapore, Singapore; School of Computer Engineering and Science, Shanghai University, Shanghai, China; Institute of Data Science, National University of Singapore, Singapore; Department of Biomedical Engineering, the Johns Hopkins University, Baltimore, Maryland
| | - Jerod M Rasmussen
- Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Michael A Skeide
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Martin A Styner
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of the Sunshine Coast, Marina del Rey, California
| | - Laurie Wakschlag
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Rebecca Knickmeyer
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Department of Pediatrics and Human Development, Michigan State University, East Lansing, Michigan.
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9
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Le H, Dimitrakopoulou K, Patel H, Curtis C, Cordero-Grande L, Edwards AD, Hajnal J, Tournier JD, Deprez M, Cullen H. Effect of schizophrenia common variants on infant brain volumes: cross-sectional study in 207 term neonates in developing Human Connectome Project. Transl Psychiatry 2023; 13:121. [PMID: 37037832 PMCID: PMC10085987 DOI: 10.1038/s41398-023-02413-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 03/16/2023] [Accepted: 03/24/2023] [Indexed: 04/12/2023] Open
Abstract
Increasing lines of evidence suggest deviations from the normal early developmental trajectory could give rise to the onset of schizophrenia during adolescence and young adulthood, but few studies have investigated brain imaging changes associated with schizophrenia common variants in neonates. This study compared the brain volumes of both grey and white matter regions with schizophrenia polygenic risk scores (PRS) for 207 healthy term-born infants of European ancestry. Linear regression was used to estimate the relationship between PRS and brain volumes, with gestational age at birth, postmenstrual age at scan, ancestral principal components, sex and intracranial volumes as covariates. The schizophrenia PRS were negatively associated with the grey (β = -0.08, p = 4.2 × 10-3) and white (β = -0.13, p = 9.4 × 10-3) matter superior temporal gyrus volumes, white frontal lobe volume (β = -0.09, p = 1.5 × 10-3) and the total white matter volume (β = -0.062, p = 1.66 × 10-2). This result also remained robust when incorporating individuals of Asian ancestry. Explorative functional analysis of the schizophrenia risk variants associated with the right frontal lobe white matter volume found enrichment in neurodevelopmental pathways. This preliminary result suggests possible involvement of schizophrenia risk genes in early brain growth, and potential early life structural alterations long before the average age of onset of the disease.
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Affiliation(s)
- Hai Le
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK.
| | - Konstantina Dimitrakopoulou
- Translational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Hamel Patel
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
| | - Charles Curtis
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, ISCIII, Madrid, Spain
| | - A David Edwards
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
| | - Joseph Hajnal
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
| | - Jacques-Donald Tournier
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
| | - Maria Deprez
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
| | - Harriet Cullen
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
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10
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The molecular genetic basis of creativity: a mini review and perspectives. PSYCHOLOGICAL RESEARCH 2023; 87:1-16. [PMID: 35217895 DOI: 10.1007/s00426-022-01649-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 01/16/2022] [Indexed: 01/27/2023]
Abstract
Although creativity is one of the defining features of human species, it is just the beginning of an ambitious attempt for psychologists to understand its genetic basis. With ongoing efforts, great progress has been achieved in molecular genetic studies of creativity. In this mini review, we highlighted recent molecular genetic findings for both domain-general and domain-specific creativity, and provided some perspectives for future studies. It is expected that this work will provide an update on the knowledge regarding the molecular genetic basis of creativity, and contribute to the further development of this field.
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11
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Jena A, Montoya CA, Young W, Mullaney JA, Roy D, Dilger RN, Giezenaar C, McNabb WC, Roy NC. The effects of ruminant milk treatments on hippocampal, striatal, and prefrontal cortex gene expression in pigs as a model for the human infant. Front Neurosci 2022; 16:937845. [PMID: 36046471 PMCID: PMC9421158 DOI: 10.3389/fnins.2022.937845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/19/2022] [Indexed: 11/14/2022] Open
Abstract
While infant formula is usually bovine milk-based, interest in other ruminant milk-based formulas is growing. However, whether different ruminant milk treatments with varying nutrient compositions influence the infant’s brain development remains unknown. The aim was to determine the effects of consuming bovine, caprine, or ovine milk on brain gene expression in the early postnatal period using a pig model of the human infant. Starting at postnatal day 7 or 8, pigs were exclusively fed bovine, ovine, or caprine milk for 15 days. The mRNA abundance of 77 genes in the prefrontal cortex, hippocampus, and striatum regions was measured at postnatal day 21 or 22 using NanoString. The expression level of two hippocampal and nine striatal genes was most affected by milk treatments, particularly ovine milk. These modulatory genes are involved in glutamate, gamma-aminobutyric acid, serotonin, adrenaline and neurotrophin signaling and the synaptic vesicle cycle. The expression level of genes involved in gamma-aminobutyric acid signaling was associated with pigs’ lactose intake. In contrast, milk treatments did not affect the mRNA abundance of the genes in the prefrontal cortex. This study provides the first evidence of the association of different ruminant milk treatments with brain gene expression related to cognitive function in the first 3 months of postnatal life.
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Affiliation(s)
- Ankita Jena
- Riddet Institute, Massey University, Palmerston North, New Zealand
- School of Food and Advanced Technology, College of Sciences, Massey University, Palmerston North, New Zealand
- AgResearch, Palmerston North, New Zealand
| | - Carlos A. Montoya
- Riddet Institute, Massey University, Palmerston North, New Zealand
- AgResearch, Palmerston North, New Zealand
| | - Wayne Young
- Riddet Institute, Massey University, Palmerston North, New Zealand
- AgResearch, Palmerston North, New Zealand
- High-Value Nutrition National Science Challenge, Auckland, New Zealand
| | - Jane A. Mullaney
- Riddet Institute, Massey University, Palmerston North, New Zealand
- AgResearch, Palmerston North, New Zealand
- High-Value Nutrition National Science Challenge, Auckland, New Zealand
| | - Debashree Roy
- Riddet Institute, Massey University, Palmerston North, New Zealand
| | - Ryan N. Dilger
- Department of Animal Sciences, University of Illinois, Urbana, IL, United States
| | - Caroline Giezenaar
- Riddet Institute, Massey University, Palmerston North, New Zealand
- Food Experience and Sensory Testing (FEAST) Laboratory, School of Food and Advanced Technology, Massey University, Palmerston North, New Zealand
| | - Warren C. McNabb
- Riddet Institute, Massey University, Palmerston North, New Zealand
- High-Value Nutrition National Science Challenge, Auckland, New Zealand
| | - Nicole C. Roy
- Riddet Institute, Massey University, Palmerston North, New Zealand
- High-Value Nutrition National Science Challenge, Auckland, New Zealand
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
- *Correspondence: Nicole C. Roy,
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12
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Alex AM, Ruvio T, Xia K, Jha SC, Girault JB, Wang L, Li G, Shen D, Cornea E, Styner MA, Gilmore JH, Knickmeyer RC. Influence of gonadal steroids on cortical surface area in infancy. Cereb Cortex 2022; 32:3206-3223. [PMID: 34952542 PMCID: PMC9340392 DOI: 10.1093/cercor/bhab410] [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: 04/09/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 12/27/2022] Open
Abstract
Sex differences in the human brain emerge as early as mid-gestation and have been linked to sex hormones, particularly testosterone. Here, we analyzed the influence of markers of early sex hormone exposure (polygenic risk score (PRS) for testosterone, salivary testosterone, number of CAG repeats, digit ratios, and PRS for estradiol) on the growth pattern of cortical surface area in a longitudinal cohort of 722 infants. We found PRS for testosterone and right-hand digit ratio to be significantly associated with surface area, but only in females. PRS for testosterone at the most stringent P value threshold was positively associated with surface area development over time. Higher right-hand digit ratio, which is indicative of low prenatal testosterone levels, was negatively related to surface area in females. The current work suggests that variation in testosterone levels during both the prenatal and postnatal period may contribute to cortical surface area development in female infants.
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Affiliation(s)
- Ann Mary Alex
- Neuroengineering Division, Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Tom Ruvio
- Neuroengineering Division, Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Kai Xia
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Li Wang
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Gang Li
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Dinggang Shen
- School of Biomedical Engineering, ShanghaiTech University, Shanghai 201210, China
- Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rebecca C Knickmeyer
- Address correspondence to Rebecca C. Knickmeyer, Institute for Quantitative Health Science and Engineering, 775 Woodlot Dr, East Lansing, MI 48824, USA.
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13
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McCorkindale AN, Mundell HD, Guennewig B, Sutherland GT. Vascular Dysfunction Is Central to Alzheimer's Disease Pathogenesis in APOE e4 Carriers. Int J Mol Sci 2022; 23:7106. [PMID: 35806110 PMCID: PMC9266739 DOI: 10.3390/ijms23137106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 06/23/2022] [Accepted: 06/23/2022] [Indexed: 11/16/2022] Open
Abstract
Alzheimer's disease (AD) is the most common form of dementia and the leading risk factor, after age, is possession of the apolipoprotein E epsilon 4 allele (APOE4). Approximately 50% of AD patients carry one or two copies of APOE4 but the mechanisms by which it confers risk are still unknown. APOE4 carriers are reported to demonstrate changes in brain structure, cognition, and neuropathology, but findings have been inconsistent across studies. In the present study, we used multi-modal data to characterise the effects of APOE4 on the brain, to investigate whether AD pathology manifests differently in APOE4 carriers, and to determine if AD pathomechanisms are different between carriers and non-carriers. Brain structural differences in APOE4 carriers were characterised by applying machine learning to over 2000 brain MRI measurements from 33,384 non-demented UK biobank study participants. APOE4 carriers showed brain changes consistent with vascular dysfunction, such as reduced white matter integrity in posterior brain regions. The relationship between APOE4 and AD pathology was explored among the 1260 individuals from the Religious Orders Study and Memory and Aging Project (ROSMAP). APOE4 status had a greater effect on amyloid than tau load, particularly amyloid in the posterior cortical regions. APOE status was also highly correlated with cerebral amyloid angiopathy (CAA). Bulk tissue brain transcriptomic data from ROSMAP and a similar dataset from the Mount Sinai Brain Bank showed that differentially expressed genes between the dementia and non-dementia groups were enriched for vascular-related processes (e.g., "angiogenesis") in APOE4 carriers only. Immune-related transcripts were more strongly correlated with AD pathology in APOE4 carriers with some transcripts such as TREM2 and positively correlated with pathology severity in APOE4 carriers, but negatively in non-carriers. Overall, cumulative evidence from the largest neuroimaging, pathology, and transcriptomic studies available suggests that vascular dysfunction is key to the development of AD in APOE4 carriers. However, further studies are required to tease out non-APOE4-specific mechanisms.
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Affiliation(s)
- Andrew N. McCorkindale
- Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2050, Australia; (A.N.M.); (H.D.M.)
| | - Hamish D. Mundell
- Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2050, Australia; (A.N.M.); (H.D.M.)
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2050, Australia
| | - Boris Guennewig
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2050, Australia
| | - Greg T. Sutherland
- Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2050, Australia; (A.N.M.); (H.D.M.)
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14
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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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15
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Piers RJ, Liu Y, Ang TFA, Tao Q, Au R, Qiu WQ. Association Between Elevated Depressive Symptoms and Cognitive Function Moderated by APOE4 Status: Framingham Offspring Study. J Alzheimers Dis 2021; 80:1269-1279. [PMID: 33646152 DOI: 10.3233/jad-200998] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Depression and Apolipoprotein E4 (APOE4) are associated with decreased cognitive function and differences in brain structure. OBJECTIVE This study investigated whether APOE4 status moderates the association between elevated depressive symptoms, cognitive function, and brain structure. METHODS Stroke- and dementia-free participants (n = 1,968) underwent neuropsychological evaluation, brain MRI, and depression screening. Linear and logistic regression was used to examine all associations. Secondary analyses were performed using interaction terms to assess effect modification by APOE4 status. RESULTS Elevated depressive symptoms were associated with lower cognitive performance in several domains. In stratified analyses, elevated depressive symptoms were associated with poorer visual short- and long-term memory performance for APOE4 + participants. Elevated depressive symptoms were not associated with any brain structure in this study sample. CONCLUSION Elevated depressive symptoms impact cognitive function in non-demented individuals. Having the APOE4 allele may exacerbate the deleterious effects of elevated depressive symptoms on visual memory performance. Screening for elevated depressive symptoms in both research studies and clinical practice may be warranted to avoid false positive identification of neurodegeneration, particularly among those who are APOE4 + .
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Affiliation(s)
- Ryan J Piers
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Yulin Liu
- The Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Ting F A Ang
- The Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.,Slone Epidemiology Center, Boston University School of Medicine, Boston, MA, USA
| | - Qiushan Tao
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA
| | - Rhoda Au
- The Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.,Slone Epidemiology Center, Boston University School of Medicine, Boston, MA, USA.,Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.,Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA
| | - Wei Qiao Qiu
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA.,Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
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16
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Kawasaki Y, Oishi K, Hernandez A, Ernst T, Wu D, Otsuka Y, Ceritoglu C, Chang L. Brain-derived neurotrophic factor Val66Met variant on brain volumes in infants. Brain Struct Funct 2021; 226:919-925. [PMID: 33474578 DOI: 10.1007/s00429-020-02207-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 12/19/2020] [Indexed: 10/22/2022]
Abstract
The brain-derived neurotrophic factor (BDNF) has many important roles in neurogenesis and neuronal health. BDNF is also involved in learning and memory. Individuals with BDNF-Val66Met variant (Met +) are at higher risk for neuropsychiatric disorders and have smaller hippocampi and amgydalae compared to those without this variant (Met -). Whether these smaller brain volumes are already present at birth is unknown and were evaluated. 66 newborn infants were genotyped for BDNF-rs6265 and had brain MRI scans. The T1-weighted images were automatically parcellated for hippocampus and amygdala, as well as the intracranial volume (ICV), total brain volume, total gray and white matter, using a multi-atlas label fusion method implemented in the MRICloud ( https://braingps.anatomyworks.org ). The segmented brain volumes were normalized to the ICV for group comparisons. The two infant groups were not different in their demographics and birth characteristics. However, compared to Met - infants, the Met + infants had smaller hippocampi (p = 0.013), smaller amygdalae (p = 0.041), and less steep age-related declines in total brain volume and % white matter volume. The smaller relative hippocampal and amygdala volumes in Met + infants suggest that the Met + genotype affected prenatal developmental processes. In addition, the slower age-dependent declines in the relative total brain and white matter volumes of the Met + group in this cross-sectional dataset suggest the BDNF-Val66Met variant might have an ongoing negative influence on the postnatal developmental processes.
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Affiliation(s)
- Yukako Kawasaki
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Neonatology, Maternal and Perinatal Center, Toyama University Hospital, Toyama, Japan
| | - Kenichi Oishi
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Antonette Hernandez
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA
| | - Thomas Ernst
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA
- Departments of Diagnostic Radiology and Nuclear Medicine, and Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University of School of Medicine, Baltimore, MD, USA
| | - Dan Wu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Yoshihisa Otsuka
- Department of Neurology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Can Ceritoglu
- Center for Imaging Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Linda Chang
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA.
- Departments of Diagnostic Radiology and Nuclear Medicine, and Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
- Department of Neurology, Johns Hopkins University of School of Medicine, Baltimore, MD, USA.
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17
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Knickmeyer RC, Nguyen CT, Young JT, Haunton A, Kosorok MR, Gilmore JH, Styner M, Rothmond DA, Noble PL, Lenroot R, Weickert CS. Impact of gonadectomy on maturational changes in brain volume in adolescent macaques. Psychoneuroendocrinology 2021; 124:105068. [PMID: 33260081 PMCID: PMC8121100 DOI: 10.1016/j.psyneuen.2020.105068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 09/29/2020] [Accepted: 11/12/2020] [Indexed: 10/23/2022]
Abstract
Adolescence is a transitional period between childhood and adulthood characterized by significant changes in global and regional brain tissue volumes. It is also a period of increasing vulnerability to psychiatric illness. The relationship between these patterns and increased levels of circulating sex steroids during adolescence remains unclear. The objective of the current study was to determine whether gonadectomy, prior to puberty, alters adolescent brain development in male rhesus macaques. Ninety-six structural MRI scans were acquired from 12 male rhesus macaques (8 time points per animal over a two-year period). Six animals underwent gonadectomy and 6 animals underwent a sham operation at 29 months of age. Mixed-effects models were used to determine whether gonadectomy altered developmental trajectories of global and regional brain tissue volumes. We observed a significant effect of gonadectomy on the developmental trajectory of prefrontal gray matter (GM), with intact males showing peak volumes around 3.5 years of age with a subsequent decline. In contrast, prefrontal GM volumes continued to increase in gonadectomized males until the end of the study. We did not observe a significant effect of gonadectomy on prefrontal white matter or on any other global or regional brain tissue volumes, though we cannot rule out that effects might be detected in a larger sample. Results suggest that the prefrontal cortex is more vulnerable to gonadectomy than other brain regions.
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Affiliation(s)
- Rebecca C. Knickmeyer
- Michigan State University, Institute for Quantitative Health Science and Engineering, Room 2114, Bio Engineering Facility, 775 Woodlot Dr., East Lansing, MI, 48824 USA,University of North Carolina at Chapel Hill, Department of Psychiatry, Campus Box #7160, Chapel Hill, NC 27599-7160, USA
| | - Crystal T. Nguyen
- University of North Carolina at Chapel Hill, Department of Biostatistics, Campus Box #7420, Chapel Hill, NC 27599-7420, USA
| | - Jeffrey T. Young
- University of North Carolina at Chapel Hill, Department of Psychiatry, Campus Box #7160, Chapel Hill, NC 27599-7160, USA
| | - Anne Haunton
- North Carolina School of Science and Mathematics, 1219 Broad St, Durham, NC 27705, USA.
| | - Michael R. Kosorok
- University of North Carolina at Chapel Hill, Department of Biostatistics, Campus Box #7420, Chapel Hill, NC 27599-7420, USA
| | - John H. Gilmore
- University of North Carolina at Chapel Hill, Department of Psychiatry, Campus Box #7160, Chapel Hill, NC 27599-7160, USA
| | - Martin Styner
- University of North Carolina at Chapel Hill, Department of Psychiatry, Campus Box #7160, Chapel Hill, NC 27599-7160, USA; University of North Carolina at Chapel Hill, Department of Computer Science, Campus Box #3175, Chapel Hill, NC 27599-3175, USA.
| | - Debora A. Rothmond
- Schizophrenia Research Laboratory, Neuroscience Research Australia, Randwick NSW 2031, Australia
| | - Pamela L. Noble
- Laboratory of Neuropsychology, National Institute for Mental Health, National Institutes of Health, Bethesda, MD 20892-9663
| | - Rhoshel Lenroot
- University of New Mexico, Department of Psychiatry and Behavioral Sciences, Albuquerque, NM 87131, USA.
| | - Cynthia Shannon Weickert
- School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia; Department of Neuroscience & Physiology, Upstate Medical University, Syracuse, NY 13210, USA.
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Fu X, Zhang G, Liu Y, Zhang L, Zhang F, Zhou C. Altered expression of the DISC1 gene in peripheral blood of patients with schizophrenia. BMC MEDICAL GENETICS 2020; 21:194. [PMID: 33008326 PMCID: PMC7532617 DOI: 10.1186/s12881-020-01132-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Accepted: 09/24/2020] [Indexed: 11/17/2022]
Abstract
Background Schizophrenia is a severe, heritable, and refractory psychiatric disorder. Several studies have shown that the disrupted in schizophrenia 1 (DISC1) gene is closely associated with schizophrenia by its role in neuronal morphology, synaptic function, brain development, and dopamine homeostasis etc. This study intended to investigate the expression levels of DISC1 gene in schizophrenia patients compared with healthy controls, and the expression variation of DISC1 gene before and after antipsychotic treatment in schizophrenia patients. Methods In this study, we compared DISC1 expression levels in blood of 48 healthy controls, and 32 schizophrenia patients before and after 12 weeks of antipsychotic treatment using real-time quantitative PCR (RT-qPCR) analysis. Results The expression levels of DISC1 gene in peripheral blood mononuclear cells of schizophrenia patients before antipsychotic treatment were higher than those in healthy controls (P < 0.01); whereas after antipsychotic treatment, the expression levels of DISC1 gene in peripheral blood mononuclear cells of schizophrenia patients still remained increased (P < 0.01). Conclusions Our study provided further support for the involvement of DISC1 in the development of schizophrenia.
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Affiliation(s)
- Xiaoqian Fu
- Department of Clinical Psychology, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Guofu Zhang
- Wuxi Mental Health Center of Nanjing Medical University, 156 Qianrong Road, Wuxi, China.
| | - Yansong Liu
- Department of Clinical Psychology, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Ling Zhang
- Department of Clinical Psychology, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Fuquan Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, Jiangsu Province, China.
| | - Conghua Zhou
- School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang, China.
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19
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Walhovd KB, Fjell AM, Sørensen Ø, Mowinckel AM, Reinbold CS, Idland AV, Watne LO, Franke A, Dobricic V, Kilpert F, Bertram L, Wang Y. Genetic risk for Alzheimer disease predicts hippocampal volume through the human lifespan. NEUROLOGY-GENETICS 2020; 6:e506. [PMID: 33134508 PMCID: PMC7577559 DOI: 10.1212/nxg.0000000000000506] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 07/17/2020] [Indexed: 11/27/2022]
Abstract
Objective To test the hypothesis that genetic risk for Alzheimer disease (AD) may represent a stable influence on the brain from early in life, rather than being primarily age dependent, we investigated in a lifespan sample of 1,181 persons with a total of 2,690 brain scans, whether higher polygenic risk score (PGS) for AD and presence of APOE ε4 was associated with lower hippocampal volumes to begin with, as an offset effect, or possibly faster decline in older age. Methods Using general additive mixed models, we assessed the relations of PGS for AD, including variants in APOE with hippocampal volume and its change in a cognitively healthy longitudinal lifespan sample (age range: 4–95 years, mean visit age 39.7 years, SD 26.9 years), followed for up to 11 years. Results AD-PGS and APOE ε4 in isolation showed a significant negative effect on hippocampal volume. The effect of a 1 sample SD increase in AD-PGS on hippocampal volume was estimated to –36.4 mm3 (confidence interval [CI]: –71.8, –1.04) and the effect of carrying ε4 allele(s) –107.0 mm3 (CI: –182.0, –31.5). Offset effects of AD-PGS and APOE ε4 were present in hippocampal development, and interactions between age and genetic risk on volume change were not consistently observed. Conclusions Endophenotypic manifestation of polygenic risk for AD may be seen across the lifespan in cognitively healthy persons, not being confined to clinical populations or older age. This emphasizes that a broader population and age range may be relevant targets for attempts to prevent AD.
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Affiliation(s)
- Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Athanasia Monika Mowinckel
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Céline Sonja Reinbold
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Ane-Victoria Idland
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Leiv Otto Watne
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Andre Franke
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Valerija Dobricic
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Fabian Kilpert
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Lars Bertram
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Yunpeng Wang
- Center for Lifespan Changes in Brain and Cognition (K.B.W., A.M.F., Ø.S., A.M.M., C.S.R., A.-V.I., L.B., Y.W.), Department of Psychology, University of Oslo; Division of Radiology and Nuclear Medicine (K.B.W., A.M.F.), Oslo University Hospital, Rikshospitalet; Oslo Delirium Research Group (A.-V.I., L.O.W.), Department of Geriatric Medicine, and Institute of Basic Medical Sciences (A.-V.I., L.O.W.), University of Oslo, Norway; Institute of Clinical Molecular Biology (A.F.), Christian-Albrechts-University of Kiel; and Lübeck Interdisciplinary Platform for Genome Analytics (V.D., F.K., L.B.), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
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D’Souza H, Mason L, Mok KY, Startin CM, Hamburg S, Hithersay R, Baksh RA, Hardy J, Strydom A, Thomas MSC. Differential Associations of Apolipoprotein E ε4 Genotype With Attentional Abilities Across the Life Span of Individuals With Down Syndrome. JAMA Netw Open 2020; 3:e2018221. [PMID: 32986108 PMCID: PMC7522696 DOI: 10.1001/jamanetworkopen.2020.18221] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
IMPORTANCE Risk of Alzheimer disease (AD) is particularly high for individuals with Down syndrome (DS). The ε4 allele of the apolipoprotein E gene (APOE ε4) is associated with an additional risk for AD. In typical development, there is evidence that the APOE ε4 genotype is associated with an early cognitive advantage. Here we investigate associations of APOE ε4 with attention across the life span of individuals with DS. OBJECTIVE To investigate associations between APOE ε4 and attentional abilities in young children and in adults with DS. DESIGN, SETTINGS, AND PARTICIPANTS In this cross-sectional study, data were collected from 80 young children with DS (8-62 months of age) and 240 adults with DS (16-71 years of age) during the period from 2013 to 2018 at a research center to examine the association between APOE status (ε4 carrier vs ε4 noncarrier) and attentional abilities. EXPOSURE APOE status (ε4 carrier vs ε4 noncarrier). MAIN OUTCOMES AND MEASURES For the children, attentional ability was assessed using an eye-tracking paradigm, the gap-overlap task; the size of the gap effect was the primary outcome. For the adults, attentional ability was assessed using the CANTAB simple reaction time task; the standard deviation of response time latencies was the primary outcome. Cross-sectional developmental trajectories were constructed linking attentional ability with age in ε4 carriers and ε4 noncarriers for children and adults separately. RESULTS The child sample comprised 23 ε4 carriers and 57 ε4 noncarriers. The adult sample comprised 61 ε4 carriers and 179 ε4 noncarriers. For the children, a significant difference between trajectory intercepts (ηp2 = 0.14) indicated that ε4 carriers (B = 100.24 [95% CI, 18.52-181.96]) exhibited an attentional advantage over ε4 noncarriers (B = 314.78 [95% CI, 252.17-377.39]). There was an interaction between APOE status and age (ηp2 = 0.10); while the gap effect decreased with age for ε4 noncarriers (B = -4.58 [95% CI, -6.67 to -2.48]), reflecting the development of the attention system, there was no change across age in ε4 carriers (B = 0.77 [95% CI, -1.57 to 3.12]). For the adults, there was no main effect of ε4 carrier status, but there was an interaction between APOE status and age (B = 0.02 [95% CI, 0.004-0.07]), so that ε4 carriers had poorer attentional ability than ε4 noncarriers at older ages. CONCLUSIONS AND RELEVANCE APOE ε4 is associated with an attentional advantage early in development and a disadvantage later in life for individuals with DS, similar to the pattern reported in typical development. Understanding the differential role of APOE across the life span is an important step toward future interventions.
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Affiliation(s)
- Hana D’Souza
- Department of Psychology and Newnham College, University of Cambridge, Cambridge, United Kingdom
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
- The London Down Syndrome (LonDownS) Consortium, London, United Kingdom
| | - Luke Mason
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Kin Y. Mok
- The London Down Syndrome (LonDownS) Consortium, London, United Kingdom
- Queen Square Institute of Neurology, Department of Neurodegenerative Disease, University College London, London, United Kingdom
- Division of Life Science, Hong Kong University of Science and Technology, Hong Kong SAR, People’s Republic of China
| | - Carla M. Startin
- The London Down Syndrome (LonDownS) Consortium, London, United Kingdom
- Institute of Psychiatry, Psychology, and Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, London, United Kingdom
- Department of Psychology, University of York, York, United Kingdom
| | - Sarah Hamburg
- The London Down Syndrome (LonDownS) Consortium, London, United Kingdom
| | - Rosalyn Hithersay
- The London Down Syndrome (LonDownS) Consortium, London, United Kingdom
- Institute of Psychiatry, Psychology, and Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, London, United Kingdom
| | - R. Asaad Baksh
- The London Down Syndrome (LonDownS) Consortium, London, United Kingdom
- Institute of Psychiatry, Psychology, and Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, London, United Kingdom
| | - John Hardy
- The London Down Syndrome (LonDownS) Consortium, London, United Kingdom
- Queen Square Institute of Neurology, Department of Neurodegenerative Disease, University College London, London, United Kingdom
- UK Dementia Research Institute at University College London, University College London Institute of Neurology, Department of Neurodegenerative Disease, University College London, London, United Kingdom
- Reta Lila Weston Institute, Queen Square Institute of Neurology, University College London, London, United Kingdom
- National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, United Kingdom
- Institute for Advanced Study, Hong Kong University of Science and Technology, Hong Kong SAR, People’s Republic of China
| | - Andre Strydom
- The London Down Syndrome (LonDownS) Consortium, London, United Kingdom
- Institute of Psychiatry, Psychology, and Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, London, United Kingdom
- South London and the Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - Michael S. C. Thomas
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
- The London Down Syndrome (LonDownS) Consortium, London, United Kingdom
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21
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Remer J, Dean DC, Chen K, Reiman RA, Huentelman MJ, Reiman EM, Deoni SCL. Longitudinal white matter and cognitive development in pediatric carriers of the apolipoprotein ε4 allele. Neuroimage 2020; 222:117243. [PMID: 32822813 PMCID: PMC7779366 DOI: 10.1016/j.neuroimage.2020.117243] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 07/01/2020] [Accepted: 08/05/2020] [Indexed: 01/14/2023] Open
Abstract
We have previously demonstrated cross-sectional differences in magnetic resonance imaging (MRI) measurements of white matter myelin and gray matter in infants with or without the apolipoprotein ε4 allele, a major genetic risk factor for late-onset Alzheimer's disease (AD). In this study, we sought to compare longitudinal MRI white matter myelin and cognitive-behavioral changes in infants and young children with and without this allele. Serial MRI and cognitive tests were obtained on 223 infants and young children, including 74 ε4 carriers and 149 non-carriers, 2–68 months of age, matched for age, gestational duration, birth weight, sex ratio, maternal age, education, and socioeconomic status. Automated brain mapping algorithms and non-linear mixed models were used to characterize and compare trajectories of white matter myelin and cognitive-behavioral test scores. The APOE ε4 carriers had statistically significant differences in white matter myelin development, in the uncinate fasciculus, temporal lobe, internal capsule and occipital lobe. Additionally, ε4 carriers had a slightly greater rate of development in early learning composite a surrogate measure of IQ representative of expressive language, receptive language, fine motor, and visual skills, but displayed slightly lower non verbal development quotient scores a composite measure of fine motor and visual skills across the entire age range. This study supports the possibility that ε4 carriers have slightly altered rates of white matter and cognitive development in childhood. It continues to raise questions about the role of APOE in human brain development and the relevance of these developmental differences to the predisposition to AD.
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Affiliation(s)
- Justin Remer
- Advanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, USA; Department of Pediatrics, Warren Alpert Medical School at Brown University, Providence RI, USA.
| | - Douglas C Dean
- Department of Pediatrics, University of Wisconsin-Madison, Madison WI 53705 USA; Department of Medical Physics, University of Wisconsin-Madison, Madison WI 5305 USA; Waisman Center, University of Wisconsin-Madison, Madison WI 53705 USA
| | - Kewei Chen
- Arizona Alzheimer's Consortium, University of Arizona School of Medicine, Tucson and Phoenix AZ, USA; Banner Alzheimer's Institute, Phoenix, AZ, USA; University of Arizona College of Medicine, Phoenix, AZ, USA; Arizona State University, Phoenix, AZ, USA
| | - Rebecca A Reiman
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Matthew J Huentelman
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Eric M Reiman
- Arizona Alzheimer's Consortium, University of Arizona School of Medicine, Tucson and Phoenix AZ, USA; Banner Alzheimer's Institute, Phoenix, AZ, USA; University of Arizona College of Medicine, Phoenix, AZ, USA; Arizona State University, Phoenix, AZ, USA; Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Sean C L Deoni
- Advanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, USA; Department of Pediatrics, Warren Alpert Medical School at Brown University, Providence RI, USA; Maternal, Newborn, and Child Health Discovery and Tools, Bill and Melinda Gates Foundation; Seattle WA, USA
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Rodrigue AL, Alexander-Bloch AF, Knowles EEM, Mathias SR, Mollon J, Koenis MMG, Perrone-Bizzozero NI, Almasy L, Turner JA, Calhoun VD, Glahn DC. Genetic Contributions to Multivariate Data-Driven Brain Networks Constructed via Source-Based Morphometry. Cereb Cortex 2020; 30:4899-4913. [PMID: 32318716 DOI: 10.1093/cercor/bhaa082] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 02/12/2020] [Accepted: 03/17/2020] [Indexed: 11/14/2022] Open
Abstract
Identifying genetic factors underlying neuroanatomical variation has been difficult. Traditional methods have used brain regions from predetermined parcellation schemes as phenotypes for genetic analyses, although these parcellations often do not reflect brain function and/or do not account for covariance between regions. We proposed that network-based phenotypes derived via source-based morphometry (SBM) may provide additional insight into the genetic architecture of neuroanatomy given its data-driven approach and consideration of covariance between voxels. We found that anatomical SBM networks constructed on ~ 20 000 individuals from the UK Biobank were heritable and shared functionally meaningful genetic overlap with each other. We additionally identified 27 unique genetic loci that contributed to one or more SBM networks. Both GWA and genetic correlation results indicated complex patterns of pleiotropy and polygenicity similar to other complex traits. Lastly, we found genetic overlap between a network related to the default mode and schizophrenia, a disorder commonly associated with neuroanatomic alterations.
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Affiliation(s)
- Amanda L Rodrigue
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Emma E M Knowles
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Samuel R Mathias
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Josephine Mollon
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Marinka M G Koenis
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA.,Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT 06106, USA
| | - Nora I Perrone-Bizzozero
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.,Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA
| | - Laura Almasy
- Department of Genetics, Perelman School of Medicine, and the Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jessica A Turner
- Psychology Department, Neurosciences Institute, Georgia State University, Atlanta, GA 30303, USA.,The Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA
| | - Vince D Calhoun
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA.,Psychology Department, Neurosciences Institute, Georgia State University, Atlanta, GA 30303, USA.,The Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.,Mind Research Network, Department of Psychiatry and Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.,Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT 06106, USA
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Vázquez-Bourgon J, Ayesa-Arriola R, Fatjó-Vilas M, Roiz-Santiañez R, Fañanás L, Crespo-Facorro B. Effect of DISC1 Polymorphisms on the Long-term Course of Neurocognitive Deficits in Non-affective Psychosis. Eur Psychiatry 2020; 30:861-7. [DOI: 10.1016/j.eurpsy.2015.07.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Revised: 07/10/2015] [Accepted: 07/13/2015] [Indexed: 12/12/2022] Open
Abstract
AbstractNeurocognitive deficits are core symptoms of schizophrenia that determine a poorer outcome. High variability in the progression of neuropsychological deficits in schizophrenia has been described. It is still unknown whether genetic variations can affect the course of cognitive deficits. Variations in the Disrupted in Schizophrenia 1 (DISC1) gene have previously been associated with neurocognitive deficits. This study investigated the association between 3 DISC1 polymorphisms (rs6675281 (Leu607Phe), rs1000731, and rs821616 (Ser704Cys)) and long-term (3 years) cognitive performance. One-hundred-thirty-three Caucasian drug-naive patients experiencing a first episode of non-affective psychosis were genotyped. Cognitive function was assessed at baseline and after 3 years of initiating treatment. Other clinical and socio-demographic variables were recorded to eliminate potential confounding effects. Patients carrying the A allele of rs1000731 exhibited a significant improvement in Working Memory and Attention domains, and the homozygosity of the A allele of rs821616 showed a significant improvement in Motor Dexterity performance over 3 years of follow-up. In conclusion, DISC1 gene variations may affect the course of cognitive deficits found in patients suffering from the first episode of non-affective psychosis.
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Iacono D, Feltis GC. Impact of Apolipoprotein E gene polymorphism during normal and pathological conditions of the brain across the lifespan. Aging (Albany NY) 2020; 11:787-816. [PMID: 30677746 PMCID: PMC6366964 DOI: 10.18632/aging.101757] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 01/05/2019] [Indexed: 12/12/2022]
Abstract
The central nervous system (CNS) is the cellular substrate for the integration of complex, dynamic, constant, and simultaneous interactions among endogenous and exogenous stimuli across the entire human lifespan. Numerous studies on aging-related brain diseases show that some genes identified as risk factors for some of the most common neurodegenerative diseases - such as the allele 4 of APOE gene (APOE4) for Alzheimer's disease (AD) - have a much earlier neuro-anatomical and neuro-physiological impact. The impact of APOE polymorphism appears in fact to start as early as youth and early-adult life. Intriguingly, though, those same genes associated with aging-related brain diseases seem to influence different aspects of the brain functioning much earlier actually, that is, even from the neonatal periods and earlier. The APOE4, an allele classically associated with later-life neurodegenerative disorders as AD, seems in fact to exert a series of very early effects on phenomena of neuroplasticity and synaptogenesis that begin from the earliest periods of life such as the fetal ones.We reviewed some of the findings supporting the hypothesis that APOE polymorphism is an early modifier of various neurobiological aspects across the entire human lifespan - from the in-utero to the centenarian life - during both normal and pathological conditions of the brain.
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Affiliation(s)
- Diego Iacono
- Neuropathology Research, Biomedical Research Institute of New Jersey (BRInj), Cedar Knolls, NJ 07927, USA.,MidAtlantic Neonatology Associates (MANA), Morristown, NJ 07960, USA.,Atlantic Neuroscience Institute, Atlantic Health System (AHS), Overlook Medical Center, Summit, NJ 07901, USA
| | - Gloria C Feltis
- Neuropathology Research, Biomedical Research Institute of New Jersey (BRInj), Cedar Knolls, NJ 07927, USA
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Ferreira D, Nordberg A, Westman E. Biological subtypes of Alzheimer disease: A systematic review and meta-analysis. Neurology 2020; 94:436-448. [PMID: 32047067 PMCID: PMC7238917 DOI: 10.1212/wnl.0000000000009058] [Citation(s) in RCA: 182] [Impact Index Per Article: 45.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 12/17/2019] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To test the hypothesis that distinct subtypes of Alzheimer disease (AD) exist and underlie the heterogeneity within AD, we conducted a systematic review and meta-analysis on AD subtype studies based on postmortem and neuroimaging data. METHODS EMBASE, PubMed, and Web of Science databases were consulted until July 2019. RESULTS Neuropathology and neuroimaging studies have consistently identified 3 subtypes of AD based on the distribution of tau-related pathology and regional brain atrophy: typical, limbic-predominant, and hippocampal-sparing AD. A fourth subtype, minimal atrophy AD, has been identified in several neuroimaging studies. Typical AD displays tau-related pathology and atrophy both in hippocampus and association cortex and has a pooled frequency of 55%. Limbic-predominant, hippocampal-sparing, and minimal atrophy AD had a pooled frequency of 21%, 17%, and 15%, respectively. Between-subtype differences were found in age at onset, age at assessment, sex distribution, years of education, global cognitive status, disease duration, APOE ε4 genotype, and CSF biomarker levels. CONCLUSION We identified 2 core dimensions of heterogeneity: typicality and severity. We propose that these 2 dimensions determine individuals' belonging to one of the AD subtypes based on the combination of protective factors, risk factors, and concomitant non-AD brain pathologies. This model is envisioned to aid with framing hypotheses, study design, interpretation of results, and understanding mechanisms in future subtype studies. Our model can be used along the A/T/N classification scheme for AD biomarkers. Unraveling the heterogeneity within AD is critical for implementing precision medicine approaches and for ultimately developing successful disease-modifying drugs for AD.
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Affiliation(s)
- Daniel Ferreira
- From the Division of Clinical Geriatrics (D.F., A.N., E.W.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden; Theme Aging (A.N.), Karolinska University Hospital, Huddinge, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
| | - Agneta Nordberg
- From the Division of Clinical Geriatrics (D.F., A.N., E.W.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden; Theme Aging (A.N.), Karolinska University Hospital, Huddinge, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Eric Westman
- From the Division of Clinical Geriatrics (D.F., A.N., E.W.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden; Theme Aging (A.N.), Karolinska University Hospital, Huddinge, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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26
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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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27
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Walhovd KB, Fjell AM, Westerhausen R, Nyberg L, Ebmeier KP, Lindenberger U, Bartrés-Faz D, Baaré WF, Siebner HR, Henson R, Drevon CA, Strømstad Knudsen GP, Ljøsne IB, Penninx BW, Ghisletta P, Rogeberg O, Tyler L, Bertram L. Healthy minds 0–100 years: Optimising the use of European brain imaging cohorts (“Lifebrain”). Eur Psychiatry 2020; 50:47-56. [DOI: 10.1016/j.eurpsy.2017.12.006] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 10/04/2017] [Accepted: 10/05/2017] [Indexed: 12/26/2022] Open
Abstract
AbstractThe main objective of “Lifebrain” is to identify the determinants of brain, cognitive and mental (BCM) health at different stages of life. By integrating, harmonising and enriching major European neuroimaging studies across the life span, we will merge fine-grained BCM health measures of more than 5000 individuals. Longitudinal brain imaging, genetic and health data are available for a major part, as well as cognitive and mental health measures for the broader cohorts, exceeding 27,000 examinations in total. By linking these data to other databases and biobanks, including birth registries, national and regional archives, and by enriching them with a new online data collection and novel measures, we will address the risk factors and protective factors of BCM health. We will identify pathways through which risk and protective factors work and their moderators. Exploiting existing European infrastructures and initiatives, we hope to make major conceptual, methodological and analytical contributions towards large integrative cohorts and their efficient exploitation. We will thus provide novel information on BCM health maintenance, as well as the onset and course of BCM disorders. This will lay a foundation for earlier diagnosis of brain disorders, aberrant development and decline of BCM health, and translate into future preventive and therapeutic strategies. Aiming to improve clinical practice and public health we will work with stakeholders and health authorities, and thus provide the evidence base for prevention and intervention.
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28
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Lamballais S, Muetzel RL, Ikram MA, Tiemeier H, Vernooij MW, White T, Adams HHH. Genetic Burden for Late-Life Neurodegenerative Disease and Its Association With Early-Life Lipids, Brain, Behavior, and Cognition. Front Psychiatry 2020; 11:33. [PMID: 32116848 PMCID: PMC7018686 DOI: 10.3389/fpsyt.2020.00033] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 01/10/2020] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Genetics play a significant role in the etiology of late-life neurodegenerative diseases like Alzheimer's disease, Parkinson's disease, and frontotemporal dementia. Part of the individual differences in risk for these diseases can be traced back decades before the onset of disease symptoms. Previous studies have shown evidence for plausible links of apolipoprotein E (APOE), the most important genetic marker for Alzheimer's disease, with early-life cognition and neuroimaging markers. We aimed to assess whether genome-wide genetic burden for the aforementioned neurodegenerative diseases plays a role in early-life processes. METHODS We studied children from the Generation R Study, a prospective birth cohort. APOE genotypes and polygenic genetic burdens for Alzheimer's disease, Parkinson's disease, and frontotemporal dementia were obtained through genome-wide genotyping. Non-verbal intelligence was assessed through cognitive tests at the research center around the age of 6 years, and educational attainment through a national school performance test around the age of 11 years. The Child Behavior Checklist was administered around the age of 10 years, and data from the anxious/depressed, withdrawn/depressed, and the internalizing behavior problems scales were used. Children participated in a neuroimaging study when they were 10 years old, in which structural brain metrics were obtained. Lipid serum profiles, which may be influenced by APOE genotype, were assessed from venal blood obtained around the age of 6 years. The sample size per analysis varied between 1,641 and 3,650 children due to completeness of data. RESULTS We did not find evidence that APOE genotype or the polygenic scores impact on childhood nonverbal intelligence, educational attainment, internalizing behavior, and global brain structural measures including total brain volume and whole brain fractional anisotropy (all p > 0.05). Carriership of the APOE ε2 allele was associated with lower and APOE ε4 with higher low-density lipoprotein cholesterol concentrations when compared to APOE ε3/ε3 carriers. CONCLUSION We found no evidence that genetic burden for late-life neurodegenerative diseases associates with early-life cognition, internalizing behavior, or global brain structure.
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Affiliation(s)
- Sander Lamballais
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Ryan L Muetzel
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Mohammad Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Social and Behavioral Science, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Tonya White
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Hieab H H Adams
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Clinical Genetics, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
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Abstract
Radiogenomics, defined as the integrated analysis of radiologic imaging and genetic data, is a well-established tool shown to augment neuroimaging in the clinical diagnosis, prognostication, and scientific study of late-onset Alzheimer disease (LOAD). Early work using candidate single nucleotide polymorphisms (SNPs) identified genetic variation in APOE, BIN1, CLU, and CR1 as key modifiers of brain structure and function using magnetic resonance imaging (MRI). More recently, polygenic risk scores used in conjunction with MRI and positron emission tomography have shown great promise as a risk-stratification tool for clinical trials and care-management decisions. In addition, recent work using multimodal MRI and positron emission tomography as proxies of LOAD progression has identified novel risk variants that are enhancing our understanding of LOAD pathophysiology and progression. Herein, we highlight key studies and trends in the radiogenomics of LOAD over the past two decades and their implications for clinical practice and scientific research.
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30
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Wang D, Guo T, Guo Q, Zhang S, Zhang J, Luo J. The Association Between Schizophrenia Risk Variants and Creativity in Healthy Han Chinese Subjects. Front Psychol 2019; 10:2218. [PMID: 31649580 PMCID: PMC6792478 DOI: 10.3389/fpsyg.2019.02218] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 09/17/2019] [Indexed: 11/14/2022] Open
Abstract
Although previous evidence has suggested that there is a genetic link between schizophrenia and creativity, the specific genetic variants that underlie the link are still largely unknown. To further explore the potential genetic link between schizophrenia and creativity, in a sample of 580 healthy Han Chinese subjects, this study aimed to (1) validate the role of Neuregulin 1 (NRG1) rs6994992 (one schizophrenia risk variant that has been previously linked to creativity in the European population) in the relationship between schizophrenia and creativity and (2) explore the associations between 10 other schizophrenia risk variants and creativity. For NRG1 rs6994992, the result validated its association with creativity measures. However, since NRG1 rs6994992 is not a schizophrenia risk variant in the Han Chinese population, the validated association suggested that ethnic difference may exist in the relationship between NRG1 rs6994992, schizophrenia and creativity. For other schizophrenia risk variants, the result only demonstrated a nominal association between ZNF536 rs2053079 and creativity measures which would not survive correction for multiple testing. No association between polygenic risk score for these 10 schizophrenia risk variants and creativity measures was observed. In conclusion, this study provides limited evidence for the associations between these schizophrenia risk variants and creativity in healthy Han Chinese subjects. Future studies are warranted to better understand the potential genetic link between schizophrenia and creativity.
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Affiliation(s)
- Dan Wang
- Beijing Key Laboratory of Learning and Cognition, Department of Psychology, The Collaborative Innovation Center for Capital Education Development, Capital Normal University, Beijing, China
| | - Tingting Guo
- Beijing Gese Technology Co., Ltd., Beijing, China
| | - Qi Guo
- Beijing Key Laboratory of Learning and Cognition, Department of Psychology, The Collaborative Innovation Center for Capital Education Development, Capital Normal University, Beijing, China
| | - Shun Zhang
- Department of Psychology, Shandong Normal University, Jinan, China
| | - Jinghuan Zhang
- Department of Psychology, Shandong Normal University, Jinan, China
| | - Jing Luo
- Beijing Key Laboratory of Learning and Cognition, Department of Psychology, The Collaborative Innovation Center for Capital Education Development, Capital Normal University, Beijing, China
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31
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Sulkava S, Taka AM, Kantojärvi K, Pölkki P, Morales-Muñoz I, Milani L, Porkka-Heiskanen T, Saarenpää-Heikkilä O, Kylliäinen A, Juulia Paavonen E, Paunio T. Variation near MTNR1A associates with early development and interacts with seasons. J Sleep Res 2019; 29:e12925. [PMID: 31588999 DOI: 10.1111/jsr.12925] [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: 04/09/2019] [Revised: 08/20/2019] [Accepted: 09/04/2019] [Indexed: 11/30/2022]
Abstract
Melatonin is a circadian regulatory hormone with neuroprotective properties. We have previously demonstrated the association of the genetic variant rs12506228 near the melatonin receptor 1A gene (MTNR1A) with intolerance to shift-work. Furthermore, this variant has been connected to Alzheimer's disease. Because of the previously suggested role of melatonin signalling in foetal neurocognitive and sleep development, we studied here the association of rs12506228 with early development. The study sample comprised 8-month-old infants from the Finnish CHILD-SLEEP birth cohort (n = 1,301). Parental questionnaires assessed socioemotional, communication and motor development, as well as sleep length and night awakenings. The A allele of rs12506228 showed an association with slower socioemotional (p = .025) and communication (p = .0098) development, but no direct association with sleep. However, the association of the Finnish seasons with infant sleep length interacted with rs12506228. Taken together, rs12506228 near MTNR1A, which has been previously linked to adult and elderly traits, is shown here to associate with slower early cognitive development. In addition, these results suggest that the darker seasons associate with longer infant sleep time, but only in the absence of the rs12506228 AA genotype. Because the risk allele has been connected to fewer brain MT1 melatonin receptors, these associations may reflect the influence of decreased melatonin signalling in early development.
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Affiliation(s)
- Sonja Sulkava
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.,Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Antti-Mathias Taka
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.,Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Katri Kantojärvi
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.,Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Pirjo Pölkki
- Department of Social Sciences, University of Eastern Finland, Kuopio, Finland
| | - Isabel Morales-Muñoz
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.,Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Outi Saarenpää-Heikkilä
- Tampere Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Anneli Kylliäinen
- Psychology, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - E Juulia Paavonen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.,Pediatric Research Center, Child Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tiina Paunio
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.,Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
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32
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Dai X, Hadjipantelis P, Wang JL, Deoni SCL, Müller HG. Longitudinal associations between white matter maturation and cognitive development across early childhood. Hum Brain Mapp 2019; 40:4130-4145. [PMID: 31187920 PMCID: PMC6771612 DOI: 10.1002/hbm.24690] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 05/02/2019] [Accepted: 05/27/2019] [Indexed: 12/11/2022] Open
Abstract
From birth to 5 years of age, brain structure matures and evolves alongside emerging cognitive and behavioral abilities. In relating concurrent cognitive functioning and measures of brain structure, a major challenge that has impeded prior investigation of their time‐dynamic relationships is the sparse and irregular nature of most longitudinal neuroimaging data. We demonstrate how this problem can be addressed by applying functional concurrent regression models (FCRMs) to longitudinal cognitive and neuroimaging data. The application of FCRM in neuroimaging is illustrated with longitudinal neuroimaging and cognitive data acquired from a large cohort (n = 210) of healthy children, 2–48 months of age. Quantifying white matter myelination by using myelin water fraction (MWF) as imaging metric derived from MRI scans, application of this methodology reveals an early period (200–500 days) during which whole brain and regional white matter structure, as quantified by MWF, is positively associated with cognitive ability, while we found no such association for whole brain white matter volume. Adjusting for baseline covariates including socioeconomic status as measured by maternal education (SES‐ME), infant feeding practice, gender, and birth weight further reveals an increasing association between SES‐ME and cognitive development with child age. These results shed new light on the emerging patterns of brain and cognitive development, indicating that FCRM provides a useful tool for investigating these evolving relationships.
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Affiliation(s)
- Xiongtao Dai
- Department of Statistics, Iowa State University, Ames, Iowa
| | | | - Jane-Ling Wang
- Department of Statistics, University of California Davis, Davis, California
| | - Sean C L Deoni
- Advanced Baby Imaging Lab, Brown University School of Engineering, Providence, Rhode Island.,Children's Hospital Imaging of Learning & Development Lab, Department of Radiology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado
| | - Hans-Georg Müller
- Department of Statistics, University of California Davis, Davis, California
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33
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Reynolds CA, Smolen A, Corley RP, Munoz E, Friedman NP, Rhee SH, Stallings MC, DeFries JC, Wadsworth SJ. APOE effects on cognition from childhood to adolescence. Neurobiol Aging 2019; 84:239.e1-239.e8. [PMID: 31126628 DOI: 10.1016/j.neurobiolaging.2019.04.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 04/13/2019] [Accepted: 04/14/2019] [Indexed: 01/10/2023]
Abstract
The ε4 allele of APOE is a well-established genetic risk factor for cognitive aging and dementia, but its influence on early life cognition is unknown. Consequently, we assessed associations of APOE genotypes with cognitive performance during 7, 12, and 16 year-assessments in our ongoing Colorado Adoption/Twin Study of Lifespan behavioral development (CATSLife). In general, APOE ε4 was associated with lower Verbal, Performance, and Full Scale IQ scores during childhood and adolescence (e.g., Full Scale IQ was lower by 1.91 points per ε4 allele, d = -0.13), with larger effects in females (e.g., average Full Scale IQ scores were 3.41 points lower in females per each ε4 allele vs. 0.33 points lower in males). Thus, these results suggest that deleterious effects of the APOE ε4 allele are manifested before adulthood, especially in females, and support both early origin theories and differential life-course vulnerabilities for later cognitive impairment.
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Affiliation(s)
- Chandra A Reynolds
- Department of Psychology, University of California, Riverside, Riverside, CA, USA.
| | - Andrew Smolen
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Elizabeth Munoz
- Department of Psychology, University of California, Riverside, Riverside, CA, USA
| | - Naomi P Friedman
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Soo Hyun Rhee
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Michael C Stallings
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - John C DeFries
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Sally J Wadsworth
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
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Dong Q, Zhang W, Wu J, Li B, Schron EH, McMahon T, Shi J, Gutman BA, Chen K, Baxter LC, Thompson PM, Reiman EM, Caselli RJ, Wang Y. Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects. NEUROIMAGE-CLINICAL 2019; 22:101744. [PMID: 30852398 PMCID: PMC6411498 DOI: 10.1016/j.nicl.2019.101744] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 02/02/2019] [Accepted: 03/02/2019] [Indexed: 11/30/2022]
Abstract
Apolipoprotein E (APOE) e4 is the major genetic risk factor for late-onset Alzheimer's disease (AD). The dose-dependent impact of this allele on hippocampal volumes has been documented, but its influence on general hippocampal morphology in cognitively unimpaired individuals is still elusive. Capitalizing on the study of a large number of cognitively unimpaired late middle aged and older adults with two, one and no APOE-e4 alleles, the current study aims to characterize the ability of our automated surface-based hippocampal morphometry algorithm to distinguish between these three levels of genetic risk for AD and demonstrate its superiority to a commonly used hippocampal volume measurement. We examined the APOE-e4 dose effect on cross-sectional hippocampal morphology analysis in a magnetic resonance imaging (MRI) database of 117 cognitively unimpaired subjects aged between 50 and 85 years (mean = 57.4, SD = 6.3), including 36 heterozygotes (e3/e4), 37 homozygotes (e4/e4) and 44 non-carriers (e3/e3). The proposed automated framework includes hippocampal surface segmentation and reconstruction, higher-order hippocampal surface correspondence computation, and hippocampal surface deformation analysis with multivariate statistics. In our experiments, the surface-based method identified APOE-e4 dose effects on the left hippocampal morphology. Compared to the widely-used hippocampal volume measure, our hippocampal morphometry statistics showed greater statistical power by distinguishing cognitively unimpaired subjects with two, one, and no APOE-e4 alleles. Our findings mirrored previous studies showing that APOE-e4 has a dose effect on the acceleration of brain structure deformities. The results indicated that the proposed surface-based hippocampal morphometry measure is a potential preclinical AD imaging biomarker for cognitively unimpaired individuals. Applied surface-based hippocampal morphometry on cognitively unimpaired subjects. Our study identified APOE-e4 dose effects on cognitively unimpaired subjects. Surface-based hippocampal morphometry outperformed the hippocampal volume measure. Surface-based hippocampal morphometry may be a potential preclinical AD biomarker.
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Affiliation(s)
- Qunxi Dong
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Wen Zhang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Jianfeng Wu
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Bolun Li
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | | | - Travis McMahon
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Jie Shi
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Boris A Gutman
- Armour College of Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Leslie C Baxter
- Human Brain Imaging Laboratory, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA, USA
| | | | | | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
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35
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Zhang Z, Cui J, Gao F, Li Y, Zhang G, Liu M, Yan R, Shen Y, Li R. Elevated cleavage of neuregulin-1 by beta-secretase 1 in plasma of schizophrenia patients. Prog Neuropsychopharmacol Biol Psychiatry 2019; 90:161-168. [PMID: 30500411 DOI: 10.1016/j.pnpbp.2018.11.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 11/23/2018] [Accepted: 11/24/2018] [Indexed: 01/22/2023]
Abstract
Neuregulin 1 (NRG1) is a key candidate susceptibility gene for schizophrenia. It is reported that the function of NRG1 can be regulated by cleavage via the β-Secretase (BACE1), particularly during early development. While current knowledge suggested that schizophrenia might have different phenotypes, it is unknown whether BACE1-cleaved-NRG1 (BACE1-NRG1) activity is related to clinical phenotypes of schizophrenia. In the current study, we used a newly developed enzymatic assay to detect BACE1-NRG1 activity in the human plasma and investigated the levels of cleavage of NRG1 by BACE1 in the plasma from schizophrenia patients. Our results are the first to demonstrate that the level of plasma BACE1-NRG1 activity was significantly increased in subjects affected with schizophrenia compared with healthy controls. Interestingly, the elevated BACE1-NRG1 activity was correlated with the disease severity and duration of schizophrenia, such as patients suffering from shorter-term course and worse disease status expressed higher BACE1-NRG1 activity levels compared to whom with longer duration and less severity of the disease. Furthermore, this is also the first report that the alternation of BACE1-NRG1 activity was a substrate -specific event in schizophrenia. Together, our findings suggested that the plasma BACE1-NRG1 activity can be a potential biomarker for the early diagnosis of schizophrenia.
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Affiliation(s)
- Zhengrong Zhang
- National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Jie Cui
- Center for Hormone Advanced Science and Education, Roskamp Institute, Sarasota, FL 34243, USA
| | - Feng Gao
- Neurodegenerative Disorder Research Center, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
| | - Yuhong Li
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100069, China
| | - Guofu Zhang
- National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Min Liu
- National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Riqiang Yan
- Department of Neurosciences, University of Connecticut School of Medicine, Farmington, CT 06269, USA
| | - Yong Shen
- Neurodegenerative Disorder Research Center, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
| | - Rena Li
- National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Center for Hormone Advanced Science and Education, Roskamp Institute, Sarasota, FL 34243, USA; Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100069, China.
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36
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Gao W, Grewen K, Knickmeyer RC, Qiu A, Salzwedel A, Lin W, Gilmore JH. A review on neuroimaging studies of genetic and environmental influences on early brain development. Neuroimage 2019; 185:802-812. [PMID: 29673965 PMCID: PMC6191379 DOI: 10.1016/j.neuroimage.2018.04.032] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Revised: 04/11/2018] [Accepted: 04/13/2018] [Indexed: 12/11/2022] Open
Abstract
The past decades witnessed a surge of interest in neuroimaging study of normal and abnormal early brain development. Structural and functional studies of normal early brain development revealed massive structural maturation as well as sequential, coordinated, and hierarchical emergence of functional networks during the infancy period, providing a great foundation for the investigation of abnormal early brain development mechanisms. Indeed, studies of altered brain development associated with either genetic or environmental risks emerged and thrived. In this paper, we will review selected studies of genetic and environmental risks that have been relatively more extensively investigated-familial risks, candidate risk genes, and genome-wide association studies (GWAS) on the genetic side; maternal mood disorders and prenatal drug exposures on the environmental side. Emerging studies on environment-gene interactions will also be reviewed. Our goal was not to perform an exhaustive review of all studies in the field but to leverage some representative ones to summarize the current state, point out potential limitations, and elicit discussions on important future directions.
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Affiliation(s)
- Wei Gao
- Biomedical Imaging Research Institute (BIRI), Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, CA, United States; Department of Medicine, University of California, Los Angeles, CA, United States.
| | - Karen Grewen
- Department of Psychiatry, Neurobiology, and Psychology, University of North Carolina Chapel Hill, Chapel Hill, NC, United States
| | - Rebecca C Knickmeyer
- Department of Psychiatry, University of North Carolina at Chapel Hill, N.C, United States
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore
| | - Andrew Salzwedel
- Biomedical Imaging Research Institute (BIRI), Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, CA, United States
| | - Weili Lin
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, NC, United States
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, N.C, United States
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37
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Mattsson N, Ossenkoppele R, Smith R, Strandberg O, Ohlsson T, Jögi J, Palmqvist S, Stomrud E, Hansson O. Greater tau load and reduced cortical thickness in APOE ε4-negative Alzheimer's disease: a cohort study. Alzheimers Res Ther 2018; 10:77. [PMID: 30086796 PMCID: PMC6081879 DOI: 10.1186/s13195-018-0403-x] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 07/09/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Alzheimer's disease is characterized by aggregated β-amyloid and tau proteins, but the clinical presentations and patterns of brain atrophy vary substantially. A part of this heterogeneity may be linked to the risk allele APOE ε4. The spread of tau pathology is related to atrophy and cognitive decline, but little data exist on the effects of APOE ε4 on tau. The objective of this preliminary study was therefore to test if tau load and brain structure differ by APOE ε4 in Alzheimer's disease. METHODS Sixty-five β-amyloid-positive patients at the prodromal and dementia stages of Alzheimer's disease were enrolled, including APOE ε4-positive (n = 46) and APOE ε4-negative (n = 19) patients. 18F-AV-1451 positron emission tomography was used to measure tau and brain magnetic resonance imaging (MRI) was used to measure cortical thickness. RESULTS Compared with their APOE ε4-positive counterparts, APOE ε4-negative patients had greater tau load and reduced cortical thickness, with the most pronounced effects for both in the parietal cortex. Relative to the overall cortical tau load, APOE ε4-positive patients had greater tau load in the entorhinal cortex. APOE ε4-positive patients also had slightly greater cortical β-amyloid load. There was an interaction between APOE ε4 and 18F-AV-1451 on cortical thickness, with greater effects of 18F-AV-1451 on cortical thickness in APOE ε4-negative patients. APOE ε4 and 18F-AV-1451 were independent predictors of cognition, but showed distinct associations with different cognitive tests. CONCLUSIONS APOE genotype may be associated with differences in pathways in Alzheimer's disease, potentially through differential development and spread of tau, as well as through effects on cognitive outcomes involving non-tau-related mechanisms.
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Affiliation(s)
- Niklas Mattsson
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
- VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Ruben Smith
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
- VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Olof Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Tomas Ohlsson
- Department of Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Jonas Jögi
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Lund, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
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38
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Effects of APOE ε4 on neuroimaging, cerebrospinal fluid biomarkers, and cognition in prodromal Alzheimer's disease. Neurobiol Aging 2018; 71:81-90. [PMID: 30107289 DOI: 10.1016/j.neurobiolaging.2018.07.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 06/06/2018] [Accepted: 07/04/2018] [Indexed: 01/06/2023]
Abstract
Apolipoprotein (APOE) ε4 is a major genetic risk factor for Alzheimer's disease (AD), but its importance for the clinical and biological heterogeneity in AD is unclear, particularly at the prodromal stage. We analyzed 151 prodromal AD patients (44 APOE ε4-negative and 107 APOE ε4-positive) from the BioFINDER study. We tested cognition, 18F-flutemetamol β-amyloid (Aβ) positron emission tomography, cerebrospinal fluid biomarkers of Aβ, tau and neurodegeneration, and magnetic resonance imaging of white matter pathology and brain structure. Despite having similar cortical Aβ-load and baseline global cognition (mini mental state examination), APOE ε4-negative prodromal AD had more nonamnestic cognitive impairment, higher cerebrospinal fluid levels of Aβ-peptides and neuronal injury biomarkers, more white matter pathology, more cortical atrophy, and faster decline of mini mental state examination, compared to APOE ε4-positive prodromal AD. The absence of APOE ε4 is associated with an atypical phenotype of prodromal AD. This suggests that APOE ε4 may impact both the diagnostics of AD in early stages and potentially also effects of disease-modifying treatments.
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39
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Knickmeyer RC, Xia K, Lu Z, Ahn M, Jha SC, Zou F, Zhu H, Styner M, Gilmore JH. Impact of Demographic and Obstetric Factors on Infant Brain Volumes: A Population Neuroscience Study. Cereb Cortex 2018; 27:5616-5625. [PMID: 27797836 DOI: 10.1093/cercor/bhw331] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Indexed: 11/14/2022] Open
Abstract
Individual differences in neuroanatomy are associated with intellectual ability and psychiatric risk. Factors responsible for this variability remain poorly understood. We tested whether 17 major demographic and obstetric variables were associated with individual differences in brain volumes in 756 neonates assessed with MRI. Gestational age at MRI, sex, gestational age at birth, and birthweight were the most significant predictors, explaining 31% to 59% of variance. Unexpectedly, earlier born babies had larger brains than later born babies after adjusting for other predictors. Our results suggest earlier born children experience accelerated brain growth, either as a consequence of the richer sensory environment they experience outside the womb or in response to other factors associated with delivery. In the full sample, maternal and paternal education, maternal ethnicity, maternal smoking, and maternal psychiatric history showed marginal associations with brain volumes, whereas maternal age, paternal age, paternal ethnicity, paternal psychiatric history, and income did not. Effects of parental education and maternal ethnicity are partially mediated by differences in birthweight. Remaining effects may reflect differences in genetic variation or cultural capital. In particular late initiation of prenatal care could negatively impact brain development. Findings could inform public health policy aimed at optimizing child development.
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Affiliation(s)
- Rebecca C Knickmeyer
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599-7160, USA
| | - Kai Xia
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599-7160, USA
| | - Zhaohua Lu
- Department of Human Development and Family Studies, Quantitative Developmental Systems Methodology, Pennsylvania State University, University Park, PA 16802, USA
| | - Mihye Ahn
- Department of Mathematics and Statistics, University of Nevada, Reno, NV 89557-0084, USA
| | - Shaili C Jha
- Curriculum in Neurobiology,University of North Carolina, Chapel Hill, NC 27599-7320, USA
| | - Fei Zou
- Department of Biostatistics,University of North Carolina, Chapel Hill, NC 27599-7420, USA
| | - Hongtu Zhu
- Department of Biostatistics,University of North Carolina, Chapel Hill, NC 27599-7420, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599-7160, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599-7160, USA
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40
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Genetic variant for behavioral regulation factor of executive function and its possible brain mechanism in attention deficit hyperactivity disorder. Sci Rep 2018; 8:7620. [PMID: 29769613 PMCID: PMC5956073 DOI: 10.1038/s41598-018-26042-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 04/30/2018] [Indexed: 12/18/2022] Open
Abstract
As a childhood-onset psychiatric disorder, attention deficit hyperactivity disorder (ADHD) is complicated by phenotypic and genetic heterogeneity. Lifelong executive function deficits in ADHD are described in many literatures and have been proposed as endophenotypes of ADHD. However, its genetic basis is still elusive. In this study, we performed a genome-wide association study of executive function, rated with Behavioral Rating Inventory of Executive Function (BRIEF), in ADHD children. We identified one significant variant (rs852004, P = 2.51e-08) for the overall score of BRIEF. The association analyses for each component of executive function found this locus was more associated with inhibit and monitor components. Further principle component analysis and confirmatory factor analysis provided an ADHD-specific executive function pattern including inhibit and monitor factors. SNP rs852004 was mainly associated with the Behavioral Regulation factor. Meanwhile, we found the significant locus was associated with ADHD symptom. The Behavioral Regulation factor mediated its effect on ADHD symptom. Functional magnetic resonance imaging (fMRI) analyses further showed evidence that this variant affected the activity of inhibition control related brain regions. It provided new insights for the genetic basis of executive function in ADHD.
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41
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Batalle D, Edwards AD, O'Muircheartaigh J. Annual Research Review: Not just a small adult brain: understanding later neurodevelopment through imaging the neonatal brain. J Child Psychol Psychiatry 2018; 59:350-371. [PMID: 29105061 PMCID: PMC5900873 DOI: 10.1111/jcpp.12838] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/04/2017] [Indexed: 12/27/2022]
Abstract
BACKGROUND There has been a recent proliferation in neuroimaging research focusing on brain development in the prenatal, neonatal and very early childhood brain. Early brain injury and preterm birth are associated with increased risk of neurodevelopmental disorders, indicating the importance of this early period for later outcome. SCOPE AND METHODOLOGY Although using a wide range of different methodologies and investigating diverse samples, the common aim of many of these studies has been to both track normative development and investigate deviations in this development to predict behavioural, cognitive and neurological function in childhood. Here we review structural and functional neuroimaging studies investigating the developing brain. We focus on practical and technical complexities of studying this early age range and discuss how neuroimaging techniques have been successfully applied to investigate later neurodevelopmental outcome. CONCLUSIONS Neuroimaging markers of later outcome still have surprisingly low predictive power and their specificity to individual neurodevelopmental disorders is still under question. However, the field is still young, and substantial challenges to both acquiring and modeling neonatal data are being met.
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Affiliation(s)
- Dafnis Batalle
- Centre for the Developing BrainSchool of Imaging Sciences & Biomedical EngineeringKing's College LondonLondonUK
| | - A. David Edwards
- Centre for the Developing BrainSchool of Imaging Sciences & Biomedical EngineeringKing's College LondonLondonUK
| | - Jonathan O'Muircheartaigh
- Centre for the Developing BrainSchool of Imaging Sciences & Biomedical EngineeringKing's College LondonLondonUK
- Department of NeuroimagingInstitute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
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42
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de Araujo CM, Zugman A, Swardfager W, Belangero SIN, Ota VK, Spindola LM, Hakonarson H, Pellegrino R, Gadelha A, Salum GA, Pan PM, de Moura LM, Del Aquilla M, Picon FA, Amaro E, Sato JR, Brietzke E, Grassi-Oliveira R, Rohde LAP, Miguel EC, Bressan RA, Jackowski AP. Effects of the brain-derived neurotropic factor variant Val66Met on cortical structure in late childhood and early adolescence. J Psychiatr Res 2018; 98:51-58. [PMID: 29288952 DOI: 10.1016/j.jpsychires.2017.12.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 11/18/2017] [Accepted: 12/14/2017] [Indexed: 11/19/2022]
Abstract
BACKGROUND The brain-derived neurotrophic factor (BDNF) Val66Met polymorphism (rs6265) has been associated with several neuropsychiatric disorders and regional structural brain changes in adults, but little is known about Val66Met's effect on brain morphology during typical or atypical neurodevelopment. Windows of vulnerability to psychopathology may be associated with the different alleles of the Val66Met polymorphism during childhood and adolescence. METHODOLOGY We investigated the effect of Val66Met on cortical thickness in MRI scans of 718 children and adolescents (6-12 years old) with typical development, and in those meeting DSM criteria for a psychiatric disorder. RESULTS Val66Met had a significant effect on cortical thickness. Considering the typically developing group, Met-carriers presented thicker parietal and occipital lobes and prefrontal cortices compared to Val homozygotes. Met-carriers with psychiatric disorders presented thicker medial and lateral temporal cortices than Val homozygotes. Furthermore, a significant genotype × psychiatric diagnosis interaction was found: Met-carriers with a psychiatric diagnosis presented thinner bilateral prefrontal cortices than Val homozygotes. CONCLUSION This study provides evidence that Val66Met is associated with cortical maturation in children and adolescents with and without psychiatric disorders.
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Affiliation(s)
- Celia Maria de Araujo
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Universidade Federal de São Paulo, Brazil.
| | - Andre Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Universidade Federal de São Paulo, Brazil
| | - Walter Swardfager
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Canada; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Canada
| | - Sintia Iole Nogueira Belangero
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Universidade Federal de São Paulo, Brazil; Department of Morphology and Genetics, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Vanessa Kiyomi Ota
- Department of Psychiatry, Universidade Federal de São Paulo, Brazil; Department of Morphology and Genetics, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Leticia Maria Spindola
- Department of Psychiatry, Universidade Federal de São Paulo, Brazil; Department of Morphology and Genetics, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Renata Pellegrino
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Ary Gadelha
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Universidade Federal de São Paulo, Brazil
| | - Giovanni Abrahão Salum
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Pedro Mario Pan
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Universidade Federal de São Paulo, Brazil
| | | | - Marco Del Aquilla
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Universidade Federal de São Paulo, Brazil
| | - Felipe Almeida Picon
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Edson Amaro
- Institute of Radiology (INRAD), Universidade de São Paulo, São Paulo, Brazil
| | - João Ricardo Sato
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Mathematics & Statistics Institute, Universidade Federal do ABC, Santo André, Brazil
| | - Elisa Brietzke
- Department of Psychiatry, Universidade Federal de São Paulo, Brazil
| | - Rodrigo Grassi-Oliveira
- Developmental Cognitive Neuroscience Laboratory (DCNL), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Luis Augusto P Rohde
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Euripedes Constantino Miguel
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department & Institute of Psychiatry (IPq), Universidade de São Paulo, São Paulo, Brazil
| | - Rodrigo A Bressan
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Universidade Federal de São Paulo, Brazil
| | - Andrea Parolin Jackowski
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil; Department of Psychiatry, Universidade Federal de São Paulo, Brazil
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43
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Khan W, Giampietro V, Banaschewski T, Barker GJ, Bokde ALW, Büchel C, Conrod P, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Ittermann B, Lemaître H, Nees F, Paus T, Pausova Z, Rietschel M, Smolka MN, Ströhle A, Gallinat J, Vellas B, Soininen H, Kloszewska I, Tsolaki M, Mecocci P, Spenger C, Villemagne VL, Masters CL, Muehlboeck JS, Bäckman L, Fratiglioni L, Kalpouzos G, Wahlund LO, Schumann G, Lovestone S, Williams SCR, Westman E, Simmons A. A Multi-Cohort Study of ApoE ɛ4 and Amyloid-β Effects on the Hippocampus in Alzheimer's Disease. J Alzheimers Dis 2018; 56:1159-1174. [PMID: 28157104 PMCID: PMC5302035 DOI: 10.3233/jad-161097] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
The apolipoprotein E (APOE) gene has been consistently shown to modulate the risk of Alzheimer’s disease (AD). Here, using an AD and normal aging dataset primarily consisting of three AD multi-center studies (n = 1,781), we compared the effect of APOE and amyloid-β (Aβ) on baseline hippocampal volumes in AD patients, mild cognitive impairment (MCI) subjects, and healthy controls. A large sample of healthy adolescents (n = 1,387) was also used to compare hippocampal volumes between APOE groups. Subjects had undergone a magnetic resonance imaging (MRI) scan and APOE genotyping. Hippocampal volumes were processed using FreeSurfer. In the AD and normal aging dataset, hippocampal comparisons were performed in each APOE group and in ɛ4 carriers with positron emission tomography (PET) Aβ who were dichotomized (Aβ+/Aβ–) using previous cut-offs. We found a linear reduction in hippocampal volumes with ɛ4 carriers possessing the smallest volumes, ɛ3 carriers possessing intermediate volumes, and ɛ2 carriers possessing the largest volumes. Moreover, AD and MCI ɛ4 carriers possessed the smallest hippocampal volumes and control ɛ2 carriers possessed the largest hippocampal volumes. Subjects with both APOE ɛ4 and Aβ positivity had the lowest hippocampal volumes when compared to Aβ- ɛ4 carriers, suggesting a synergistic relationship between APOE ɛ4 and Aβ. However, we found no hippocampal volume differences between APOE groups in healthy 14-year-old adolescents. Our findings suggest that the strongest neuroanatomic effect of APOE ɛ4 on the hippocampus is observed in AD and groups most at risk of developing the disease, whereas hippocampi of old and young healthy individuals remain unaffected.
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Affiliation(s)
- Wasim Khan
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK.,NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | | | - Tobias Banaschewski
- Central Institute of Mental Health, Mannheim, Germany.,Medical Faculty Mannheim, University of Heidelberg, Germany
| | | | - Arun L W Bokde
- Institute of Neuroscience and Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | | | - Patricia Conrod
- King's College London, Institute of Psychiatry, London, UK.,Department of Psychiatry, Universite de Montreal, CHU Ste Justine Hospital, Canada
| | - Herta Flor
- Central Institute of Mental Health, Mannheim, Germany.,Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Vincent Frouin
- Neurospin, Commissariat à l'Energie Atomique et aux Energies Alternatives, Paris, France
| | - Hugh Garavan
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.,Departments of Psychiatry and Psychology, University of Vermont, USA
| | - Penny Gowland
- School of Physics and Astronomy, University of Nottingham, UK
| | - Anreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Berlin, Germany
| | - Hervé Lemaître
- Institute National de la Santé et de la Recherche Médicale, INSERM CEA Unit 1000 "Imaging & Psychiatry", University Paris Sud, Orsay, and AP-HP Department of Adolescent Psychopathology and Medicine, Maison de Solenn, University Paris Descartes, Paris, France
| | - Frauke Nees
- Central Institute of Mental Health, Mannheim, Germany.,Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Tomas Paus
- otman Research Institute, University of Toronto, Toronto, Canada.,School of Psychology, University of Nottingham, UK.,Montreal Neurological Institute, McGill University, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Marcella Rietschel
- Central Institute of Mental Health, Mannheim, Germany.,Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Michael N Smolka
- Neuroimaging Center, Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Germany
| | - Andreas Ströhle
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jeurgen Gallinat
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Bruno Vellas
- INSERM U 558, University of Toulouse, Toulouse, France
| | - Hilkka Soininen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | | | - Magda Tsolaki
- Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Christian Spenger
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Victor L Villemagne
- The Florey Institute of Neuroscience and Mental Health, Parkville, Vic., Australia.,University of Melbourne, Parkville, Vic., Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, Parkville, Vic., Australia.,University of Melbourne, Parkville, Vic., Australia
| | - J-Sebastian Muehlboeck
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars-Olof Wahlund
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Gunther Schumann
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK
| | - Simon Lovestone
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK.,NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Steven C R Williams
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK.,NIHR Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Eric Westman
- King's College London, Institute of Psychiatry, London, UK.,Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Andrew Simmons
- King's College London, Institute of Psychiatry, London, UK.,NIHR Biomedical Research Centre for Mental Health, King's College London, London, UK.,NIHR Biomedical Research Unit for Dementia, King's College London, London, UK.,Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
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44
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Gilmore JH, Knickmeyer RC, Gao W. Imaging structural and functional brain development in early childhood. Nat Rev Neurosci 2018; 19:123-137. [PMID: 29449712 PMCID: PMC5987539 DOI: 10.1038/nrn.2018.1] [Citation(s) in RCA: 450] [Impact Index Per Article: 75.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
In humans, the period from term birth to ∼2 years of age is characterized by rapid and dynamic brain development and plays an important role in cognitive development and risk of disorders such as autism and schizophrenia. Recent imaging studies have begun to delineate the growth trajectories of brain structure and function in the first years after birth and their relationship to cognition and risk of neuropsychiatric disorders. This Review discusses the development of grey and white matter and structural and functional networks, as well as genetic and environmental influences on early-childhood brain development. We also discuss initial evidence regarding the usefulness of early imaging biomarkers for predicting cognitive outcomes and risk of neuropsychiatric disorders.
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Affiliation(s)
- John H Gilmore
- Department of Psychiatry, CB# 7160, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Rebecca C Knickmeyer
- Department of Psychiatry, CB# 7160, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Wei Gao
- Biomedical Imaging Research Institute, Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, University of California, Los Angeles, CA, USA
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45
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Perkins M, Wolf AB, Chavira B, Shonebarger D, Meckel JP, Leung L, Ballina L, Ly S, Saini A, Jones TB, Vallejo J, Jentarra G, Valla J. Altered Energy Metabolism Pathways in the Posterior Cingulate in Young Adult Apolipoprotein E ɛ4 Carriers. J Alzheimers Dis 2018; 53:95-106. [PMID: 27128370 PMCID: PMC4942726 DOI: 10.3233/jad-151205] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The APOE gene, encoding apolipoprotein E, is the primary genetic risk factor for late-onset Alzheimer’s disease (AD). Apolipoprotein E ɛ4 allele (APOE4) carriers have alterations in brain structure and function (as measured by brain imaging) even as young adults. Examination of this population is valuable in further identifying details of these functional changes and their association with vulnerability to AD decades later. Previous work demonstrates functional declines in mitochondrial activity in the posterior cingulate cortex, a key region in the default mode network, which appears to be strongly associated with functional changes relevant to AD risk. Here, we demonstrate alterations in the pathways underlying glucose, ketone, and mitochondrial energy metabolism. Young adult APOE4 carriers displayed upregulation of specific glucose (GLUT1 & GLUT3) and monocarboxylate (MCT2) transporters, the glucose metabolism enzyme hexokinase, the SCOT & AACS enzymes involved in ketone metabolism, and complexes I, II, and IV of the mitochondrial electron transport chain. The monocarboxylate transporter (MCT4) was found to be downregulated in APOE4 carriers. These data suggest that widespread dysregulation of energy metabolism in this at-risk population, even decades before possible disease onset. Therefore, these findings support the idea that alterations in brain energy metabolism may contribute significantly to the risk that APOE4 confers for AD.
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Affiliation(s)
- Michelle Perkins
- Midwestern University, Glendale, AZ, USA.,Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Andrew B Wolf
- University of Colorado School of Medicine, Aurora, CO, USA
| | - Bernardo Chavira
- Midwestern University, Glendale, AZ, USA.,Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | | | - J P Meckel
- Midwestern University, Glendale, AZ, USA
| | - Lana Leung
- Midwestern University, Glendale, AZ, USA.,Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | | | - Sarah Ly
- Neuroscience Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Aman Saini
- Midwestern University, Glendale, AZ, USA
| | | | - Johana Vallejo
- Midwestern University, Glendale, AZ, USA.,Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Garilyn Jentarra
- Midwestern University, Glendale, AZ, USA.,Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Jon Valla
- Midwestern University, Glendale, AZ, USA.,Arizona Alzheimer's Consortium, Phoenix, AZ, USA
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46
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Arslan A. Mapping the Schizophrenia Genes by Neuroimaging: The Opportunities and the Challenges. Int J Mol Sci 2018; 19:ijms19010219. [PMID: 29324666 PMCID: PMC5796168 DOI: 10.3390/ijms19010219] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 01/05/2018] [Accepted: 01/07/2018] [Indexed: 12/18/2022] Open
Abstract
Schizophrenia (SZ) is a heritable brain disease originating from a complex interaction of genetic and environmental factors. The genes underpinning the neurobiology of SZ are largely unknown but recent data suggest strong evidence for genetic variations, such as single nucleotide polymorphisms, making the brain vulnerable to the risk of SZ. Structural and functional brain mapping of these genetic variations are essential for the development of agents and tools for better diagnosis, treatment and prevention of SZ. Addressing this, neuroimaging methods in combination with genetic analysis have been increasingly used for almost 20 years. So-called imaging genetics, the opportunities of this approach along with its limitations for SZ research will be outlined in this invited paper. While the problems such as reproducibility, genetic effect size, specificity and sensitivity exist, opportunities such as multivariate analysis, development of multisite consortia for large-scale data collection, emergence of non-candidate gene (hypothesis-free) approach of neuroimaging genetics are likely to contribute to a rapid progress for gene discovery besides to gene validation studies that are related to SZ.
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Affiliation(s)
- Ayla Arslan
- Genetics and Bioengineering Program, Faculty of Engineering and Natural Sciences, International University of Sarajevo, Hrasnica cesta, 15 Ilidza, Sarajevo 71210, Bosnia and Herzegovina.
- Department of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Uskudar University, Istanbul 34662, Turkey.
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47
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Morphometry and Development: Changes in Brain Structure from Birth to Adult Age. NEUROMETHODS 2018. [DOI: 10.1007/978-1-4939-7647-8_10] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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48
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Piers RJ. Structural brain volume differences between cognitively intact ApoE4 carriers and non-carriers across the lifespan. Neural Regen Res 2018; 13:1309-1312. [PMID: 30106031 PMCID: PMC6108197 DOI: 10.4103/1673-5374.235408] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Apolipoprotein E4 (ApoE4) is a prominent genetic risk factor for Alzheimer's disease. The purpose of this review is to explore differences in structural brain volume detected by magnetic resonance imaging between cognitively intact ApoE4 carriers and non-carriers across the lifespan (i.e., older adults, middle-aged adults, young adults, children and adolescents, and neonates). Consistent findings are found throughout various developmental stages. This area of research may elucidate the mechanisms by which ApoE4 influences risk of developing Alzheimer's disease. It could also inform potential treatment strategies and interventions for carriers of the ApoE4 allele.
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Affiliation(s)
- Ryan J Piers
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
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49
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Walhovd KB, Fjell AM, Westerhausen R, Nyberg L, Ebmeier KP, Lindenberger U, Bartrés-Faz D, Baaré WFC, Siebner HR, Henson R, Drevon CA, Knudsen GP, Budin-Ljøsne I, Penninx BWJH, Ghisletta P, Rogeberg O, Tyler L, Bertram L. Healthy minds from 0-100 years: Optimising the use of European brain imaging cohorts ("Lifebrain"). Eur Psychiatry 2017; 47:76-87. [PMID: 29127911 DOI: 10.1016/j.eurpsy.2017.10.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 10/04/2017] [Accepted: 10/05/2017] [Indexed: 11/17/2022] Open
Abstract
The main objective of "Lifebrain" is to identify the determinants of brain, cognitive and mental (BCM) health at different stages of life. By integrating, harmonising and enriching major European neuroimaging studies across the life span, we will merge fine-grained BCM health measures of more than 5,000 individuals. Longitudinal brain imaging, genetic and health data are available for a major part, as well as cognitive and mental health measures for the broader cohorts, exceeding 27,000 examinations in total. By linking these data to other databases and biobanks, including birth registries, national and regional archives, and by enriching them with a new online data collection and novel measures, we will address the risk factors and protective factors of BCM health. We will identify pathways through which risk and protective factors work and their moderators. Exploiting existing European infrastructures and initiatives, we hope to make major conceptual, methodological and analytical contributions towards large integrative cohorts and their efficient exploitation. We will thus provide novel information on BCM health maintenance, as well as the onset and course of BCM disorders. This will lay a foundation for earlier diagnosis of brain disorders, aberrant development and decline of BCM health, and translate into future preventive and therapeutic strategies. Aiming to improve clinical practice and public health we will work with stakeholders and health authorities, and thus provide the evidence base for prevention and intervention.
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Affiliation(s)
- K B Walhovd
- Department of Psychology, University of Oslo Centre for Lifespan Changes in Brain and Cognition (UiO), Harald Schelderups Hus, Forskningsveien 3A, N-0373 Oslo, Norway.
| | - A M Fjell
- Department of Psychology, University of Oslo Centre for Lifespan Changes in Brain and Cognition (UiO), Harald Schelderups Hus, Forskningsveien 3A, N-0373 Oslo, Norway
| | - R Westerhausen
- Department of Psychology, University of Oslo Centre for Lifespan Changes in Brain and Cognition (UiO), Harald Schelderups Hus, Forskningsveien 3A, N-0373 Oslo, Norway
| | - L Nyberg
- Centre for Functional Brain Imaging (Umeå), Umeå Universitet, SE-90187 Umeå, Sweden.
| | - K P Ebmeier
- Department of Psychiatry (UOXF), University of Oxford Wellcome Centre for Integrative Neuroimaging, Warneford Hospital, University of Oxford, OX37JX Oxford, UK.
| | - U Lindenberger
- Centre for Lifespan Psychology (MPIB), Max-Planck Institute for Human Development, Lentzeallee 94, D-14195 Berlin, Germany.
| | - D Bartrés-Faz
- Facultat de Medicina, Campus Clínic, C/. Casanova, University of Barcelona Brain Stimulation Lab (UB), 143, Ala Nord, 5a planta, S-08036 Barcelona, Spain.
| | - W F C Baaré
- Region Hovedstaden (RegionH), Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Section 714, Kettegard Allé 30, DK-2650 Hvidovre, Denmark.
| | - H R Siebner
- Region Hovedstaden (RegionH), Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Section 714, Kettegard Allé 30, DK-2650 Hvidovre, Denmark
| | - R Henson
- Medical Research Council Cognition and Brain Science Unit (MRC), University of Cambridge, 15, Chaucer Road, CB2 7EF Cambridge, UK.
| | - C A Drevon
- Vitas AS (Analytical Services), Gaustadalléen 21, N-0349 Oslo, Norway.
| | - G P Knudsen
- Norwegian Institute of Public Health Oslo (NIPH), PO Box 4404 Nydalen, N-0403 Oslo, Norway.
| | - I Budin-Ljøsne
- Norwegian Institute of Public Health Oslo (NIPH), PO Box 4404 Nydalen, N-0403 Oslo, Norway
| | - B W J H Penninx
- VU University Medical Centre (VUmc), PO Box 7057, NL-1007 Amsterdam, MB, USA.
| | - P Ghisletta
- Research Group: Methodology and Data Analysis, Faculty of Psychology and Educational Sciences, University of Geneva (UNIGE), Sandrine Amstutz, Uni Mail, 4(e) étage, boulevard du Pont-d'Arve 40, 1205 Geneva, Switzerland; Swiss Distance Learning University, Überlandstrasse 12, Postfach 689 CH-3900 Brig, Switzerland.
| | - O Rogeberg
- Ragnar Frisch Centre for Economic Research (Frisch), Gaustadalleen 21, N-0349 Oslo, Norway.
| | - L Tyler
- University of Cambridge Department of Psychology (UCAM), Downing Street, CB2 3EB Cambridge, UK.
| | - L Bertram
- University of Lübeck Interdisciplinary Platform for Genome Analytics (LIGA-UzL), University of Lübeck, Maria-Goeppert-Str. 1 (MFC1), 23562 D-Lübeck, Germany.
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50
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Di Battista AM, Heinsinger NM, Rebeck GW. Alzheimer's Disease Genetic Risk Factor APOE-ε4 Also Affects Normal Brain Function. Curr Alzheimer Res 2017; 13:1200-1207. [PMID: 27033053 DOI: 10.2174/1567205013666160401115127] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Revised: 03/15/2016] [Accepted: 03/28/2016] [Indexed: 12/24/2022]
Abstract
APOE-ε4 is the strongest genetic risk factor for Alzheimer's disease (AD), and is associated with an increase in the levels of amyloid deposition and an early age of onset. Recent data demonstrate that AD pathological changes occur decades before clinical symptoms, raising questions about the precise onset of the disease. Now a convergence of approaches in mice and humans has demonstrated that APOE-ε4 affects normal brain function even very early in life in the absence of gross AD pathological changes. Normal mice expressing APOE4 have task-specific spatial learning deficits, as well as reduced NMDAR-dependent signaling and structural changes to presynaptic and postsynaptic compartments in neurons, particularly in hippocampal regions. Young humans possessing APOE-ε4 are more adept than APOE-ε4 negative individuals at some behavioral tasks, and functional magnetic resonance imaging has shown that inheritance of APOE-ε4 has specific effects on medial temporal brain activities. These findings suggest that inheritance of APOE-ε4 causes life long changes to the brain that may be related to the late risk of AD. Several possible mechanisms of how APOE-ε4 could affect brain neurochemistry, structure, and function are reviewed.
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Affiliation(s)
| | | | - G William Rebeck
- New Research Building, WP- 13, 3970 Reservoir Rd, NW, Washington, DC 20007; USA
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