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Abate F, Adu-Amankwah A, Ae-Ngibise KA, Agbokey F, Agyemang VA, Agyemang CT, Akgun C, Ametepe J, Arichi T, Asante KP, Balaji S, Baljer L, Basser PJ, Beauchemin J, Bennallick C, Berhane Y, Boateng-Mensah Y, Bourke NJ, Bradford L, Bruchhage M, Lorente RC, Cawley P, Cercignani M, D Sa V, Canha AD, Navarro ND, Dean DC, Delarosa J, Donald KA, Dvorak A, Edwards AD, Field D, Frail H, Freeman B, George T, Gholam J, Guerrero-Gonzalez J, Hajnal JV, Haque R, Hollander W, Hoodbhoy Z, Huentelman M, Jafri SK, Jones DK, Joubert F, Karaulanov T, Kasaro MP, Knackstedt S, Kolind S, Koshy B, Kravitz R, Lafayette SL, Lee AC, Lena B, Lepore N, Linguraru M, Ljungberg E, Lockart Z, Loth E, Mannam P, Masemola KM, Moran R, Murphy D, Nakwa FL, Nankabirwa V, Nelson CA, North K, Nyame S, O Halloran R, O'Muircheartaigh J, Oakley BF, Odendaal H, Ongeti CM, Onyango D, Oppong SA, Padormo F, Parvez D, Paus T, Pepper MS, Phiri KS, Poorman M, Ringshaw JE, Rogers J, Rutherford M, Sabir H, Sacolick L, Seal M, Sekoli ML, Shama T, Siddiqui K, Sindano N, Spelke MB, Springer PE, Suleman FE, Sundgren PC, Teixeira R, Terekegn W, Traughber M, Tuuli MG, Rensburg JV, Váša F, Velaphi S, Velasco P, Viljoen IM, Vokhiwa M, Webb A, Weiant C, Wiley N, Wintermark P, Yibetal K, Deoni S, Williams S. UNITY: A low-field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle-income settings. Dev Cogn Neurosci 2024; 69:101397. [PMID: 39029330 PMCID: PMC11315107 DOI: 10.1016/j.dcn.2024.101397] [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: 12/20/2023] [Revised: 05/28/2024] [Accepted: 05/30/2024] [Indexed: 07/21/2024] Open
Abstract
Measures of physical growth, such as weight and height have long been the predominant outcomes for monitoring child health and evaluating interventional outcomes in public health studies, including those that may impact neurodevelopment. While physical growth generally reflects overall health and nutritional status, it lacks sensitivity and specificity to brain growth and developing cognitive skills and abilities. Psychometric tools, e.g., the Bayley Scales of Infant and Toddler Development, may afford more direct assessment of cognitive development but they require language translation, cultural adaptation, and population norming. Further, they are not always reliable predictors of future outcomes when assessed within the first 12-18 months of a child's life. Neuroimaging may provide more objective, sensitive, and predictive measures of neurodevelopment but tools such as magnetic resonance (MR) imaging are not readily available in many low and middle-income countries (LMICs). MRI systems that operate at lower magnetic fields (< 100mT) may offer increased accessibility, but their use for global health studies remains nascent. The UNITY project is envisaged as a global partnership to advance neuroimaging in global health studies. Here we describe the UNITY project, its goals, methods, operating procedures, and expected outcomes in characterizing neurodevelopment in sub-Saharan Africa and South Asia.
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Affiliation(s)
- F Abate
- Addis Continental Institute of Public Health, Addis Ababa, Ethiopia; Waisman Research Center, Madison, WI, USA
| | - A Adu-Amankwah
- Korle-Bu Teaching Hospital, Accra, Ghana; Waisman Research Center, Madison, WI, USA
| | - K A Ae-Ngibise
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana; Waisman Research Center, Madison, WI, USA
| | - F Agbokey
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana; Waisman Research Center, Madison, WI, USA
| | - V A Agyemang
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana; Waisman Research Center, Madison, WI, USA
| | - C T Agyemang
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana; Waisman Research Center, Madison, WI, USA
| | - C Akgun
- flywheel.io Minneapolis, MN, USA; Waisman Research Center, Madison, WI, USA
| | - J Ametepe
- Cardiff University Brain Research Imaging Center, Cardiff University, Cardiff, UK; Waisman Research Center, Madison, WI, USA
| | - T Arichi
- Centre for the Developing Brain, Kings College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - K P Asante
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana; Waisman Research Center, Madison, WI, USA
| | - S Balaji
- Dept. of Neurology, University of British Columbia, Vancouver, BC, Canada; Waisman Research Center, Madison, WI, USA
| | - L Baljer
- Centre for Neuroimaging Sciences, King's College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - P J Basser
- National Institutes of Health, Washington, DC, USA; Waisman Research Center, Madison, WI, USA
| | - J Beauchemin
- Advanced Baby Imaging Lab, Providence, RI, USA; Waisman Research Center, Madison, WI, USA
| | - C Bennallick
- Centre for Neuroimaging Sciences, King's College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - Y Berhane
- Addis Continental Institute of Public Health, Addis Ababa, Ethiopia; Waisman Research Center, Madison, WI, USA
| | - Y Boateng-Mensah
- Korle-Bu Teaching Hospital, Accra, Ghana; Waisman Research Center, Madison, WI, USA
| | - N J Bourke
- Centre for Neuroimaging Sciences, King's College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - L Bradford
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital and the Neuroscience Institute, University of Cape Town, Cape Town, South Africa; Waisman Research Center, Madison, WI, USA
| | - Mmk Bruchhage
- Dept. of Psychology, Stavanger University, Norway; Waisman Research Center, Madison, WI, USA
| | - R Cano Lorente
- Advanced Baby Imaging Lab, Providence, RI, USA; Waisman Research Center, Madison, WI, USA
| | - P Cawley
- Centre for the Developing Brain, Kings College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - M Cercignani
- Cardiff University Brain Research Imaging Center, Cardiff University, Cardiff, UK; Waisman Research Center, Madison, WI, USA
| | - V D Sa
- Advanced Baby Imaging Lab, Providence, RI, USA; Waisman Research Center, Madison, WI, USA
| | - A de Canha
- Institute for Cellular and Molecular Medicine, Department of Medical Immunology, University of Pretoria, Pretoria, South Africa; Waisman Research Center, Madison, WI, USA
| | - N de Navarro
- Collective Minds Radiology, Sweden; Waisman Research Center, Madison, WI, USA
| | - D C Dean
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA; Waisman Research Center, Madison, WI, USA
| | - J Delarosa
- PATH, Seattle, WA, USA; Waisman Research Center, Madison, WI, USA
| | - K A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital and the Neuroscience Institute, University of Cape Town, Cape Town, South Africa; Waisman Research Center, Madison, WI, USA
| | - A Dvorak
- Dept. of Neurology, University of British Columbia, Vancouver, BC, Canada; Waisman Research Center, Madison, WI, USA
| | - A D Edwards
- Centre for the Developing Brain, Kings College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - D Field
- Collective Minds Radiology, Sweden; Waisman Research Center, Madison, WI, USA
| | - H Frail
- Hyperfine.io, Guilford, CT, USA; Waisman Research Center, Madison, WI, USA
| | - B Freeman
- University of North Carolina, Department of Obstetrics and Gynecology, Chapel Hill, USA; Waisman Research Center, Madison, WI, USA
| | - T George
- Department of Radiology, Faculty of Health Sciences, Chris Hani Baragwanath Academic Hospital, University; Waisman Research Center, Madison, WI, USA
| | - J Gholam
- Cardiff University Brain Research Imaging Center, Cardiff University, Cardiff, UK; Waisman Research Center, Madison, WI, USA
| | - J Guerrero-Gonzalez
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA; Waisman Research Center, Madison, WI, USA
| | - J V Hajnal
- Centre for the Developing Brain, Kings College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - R Haque
- International Centre for Diarrheal Disease Research, Bangladesh (Icddr,b), Dhaka, Bangladesh; Waisman Research Center, Madison, WI, USA
| | - W Hollander
- CaliberMRI, Boulder CO USA; Waisman Research Center, Madison, WI, USA
| | - Z Hoodbhoy
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan; Waisman Research Center, Madison, WI, USA
| | - M Huentelman
- TGen, Phoenix, AZ, USA; Waisman Research Center, Madison, WI, USA
| | - S K Jafri
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan; Waisman Research Center, Madison, WI, USA
| | - D K Jones
- Cardiff University Brain Research Imaging Center, Cardiff University, Cardiff, UK; Waisman Research Center, Madison, WI, USA
| | - F Joubert
- Centre for Bioinformatics and Computational Biology, Department of Biochemistry, Microbiology and Genetics, University of Pretoria, Pretoria, South Africa; Waisman Research Center, Madison, WI, USA
| | - T Karaulanov
- CaliberMRI, Boulder CO USA; Waisman Research Center, Madison, WI, USA
| | - M P Kasaro
- University of North Carolina - Global Projects Zambia, Lusaka, Zambia; Waisman Research Center, Madison, WI, USA
| | - S Knackstedt
- PATH, Seattle, WA, USA; Waisman Research Center, Madison, WI, USA
| | - S Kolind
- Dept. of Neurology, University of British Columbia, Vancouver, BC, Canada; Waisman Research Center, Madison, WI, USA
| | - B Koshy
- Developmental Paediatrics, Christian Medical College, Vellore, India; Waisman Research Center, Madison, WI, USA
| | - R Kravitz
- International Society for Magnetic Resonance in Medicine, San Fransisco, CA, USA; Waisman Research Center, Madison, WI, USA
| | - S Lecurieux Lafayette
- Centre for the Developing Brain, Kings College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - A C Lee
- Brigham and Women's Hospital, Department of Pediatrics; Harvard Medical School; Boston, MA, USA; Waisman Research Center, Madison, WI, USA
| | - B Lena
- Dept. of Radiology, Leiden University, Leiden, the Netherlands; Waisman Research Center, Madison, WI, USA
| | - N Lepore
- Dept. of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Waisman Research Center, Madison, WI, USA
| | - M Linguraru
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA; Waisman Research Center, Madison, WI, USA
| | - E Ljungberg
- Medical Radiation Physics, Lund University, Lund, Sweden; Waisman Research Center, Madison, WI, USA
| | - Z Lockart
- Department of Radiology, Faculty of Health Sciences, Steve Biko Academic Hospital, University of Pretoria, Pretoria, South Africa; Waisman Research Center, Madison, WI, USA
| | - E Loth
- Department of Forensic and Neurodevelopemental Science, Institute of Psychatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Waisman Research Center, Madison, WI, USA
| | - P Mannam
- Developmental Paediatrics, Christian Medical College, Vellore, India; Waisman Research Center, Madison, WI, USA
| | - K M Masemola
- Department of Paediatrics and Child Health, Kalafong Hospital and Faculty of Health Sciences, University of Pretoria, South Africa; Waisman Research Center, Madison, WI, USA
| | - R Moran
- Centre for Neuroimaging Sciences, King's College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - D Murphy
- Department of Forensic and Neurodevelopemental Science, Institute of Psychatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Waisman Research Center, Madison, WI, USA
| | - F L Nakwa
- Department of Paediatrics and Child Health, Chris Hani Baragwanath Academic Hospital and Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Waisman Research Center, Madison, WI, USA
| | - V Nankabirwa
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University. Kampala, Uganda; Waisman Research Center, Madison, WI, USA
| | - C A Nelson
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA, USA; Waisman Research Center, Madison, WI, USA
| | - K North
- Brigham and Women's Hospital, Department of Pediatrics; Harvard Medical School; Boston, MA, USA; Waisman Research Center, Madison, WI, USA
| | - S Nyame
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana; Waisman Research Center, Madison, WI, USA
| | - R O Halloran
- Hyperfine.io, Guilford, CT, USA; Waisman Research Center, Madison, WI, USA
| | - J O'Muircheartaigh
- Centre for the Developing Brain, Kings College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - B F Oakley
- Department of Forensic and Neurodevelopemental Science, Institute of Psychatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Waisman Research Center, Madison, WI, USA
| | - H Odendaal
- Dept Obstet Gynaecol, Stellenbosch University, South Africa; Waisman Research Center, Madison, WI, USA
| | - C M Ongeti
- Jaramogi Oginga Odinga Teaching and Referral Hospital, Kisumu, Kenya; Waisman Research Center, Madison, WI, USA
| | - D Onyango
- Jaramogi Oginga Odinga Teaching and Referral Hospital, Kisumu, Kenya; Waisman Research Center, Madison, WI, USA
| | - S A Oppong
- Korle-Bu Teaching Hospital, Accra, Ghana; Waisman Research Center, Madison, WI, USA
| | - F Padormo
- Hyperfine.io, Guilford, CT, USA; Waisman Research Center, Madison, WI, USA
| | - D Parvez
- Collective Minds Radiology, Sweden; Waisman Research Center, Madison, WI, USA
| | - T Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada; Waisman Research Center, Madison, WI, USA
| | - M S Pepper
- Institute for Cellular and Molecular Medicine, Department of Medical Immunology, University of Pretoria, Pretoria, South Africa; Waisman Research Center, Madison, WI, USA
| | - K S Phiri
- Training and Research Unit of Excellence (TRUE), Zomba Malawi; Waisman Research Center, Madison, WI, USA
| | - M Poorman
- Hyperfine.io, Guilford, CT, USA; Waisman Research Center, Madison, WI, USA
| | - J E Ringshaw
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital and the Neuroscience Institute, University of Cape Town, Cape Town, South Africa; Waisman Research Center, Madison, WI, USA
| | - J Rogers
- Hyperfine.io, Guilford, CT, USA; Waisman Research Center, Madison, WI, USA
| | - M Rutherford
- Centre for the Developing Brain, Kings College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - H Sabir
- Experimental Neonatology, University Hospitals Bonn, Bonn, Germany; Waisman Research Center, Madison, WI, USA
| | - L Sacolick
- Hyperfine.io, Guilford, CT, USA; Waisman Research Center, Madison, WI, USA
| | - M Seal
- Murdoch Children's Research Institute, Melbourne, AUS; Waisman Research Center, Madison, WI, USA
| | - M L Sekoli
- Institute for Cellular and Molecular Medicine, Department of Medical Immunology, University of Pretoria, Pretoria, South Africa; Waisman Research Center, Madison, WI, USA
| | - T Shama
- International Centre for Diarrheal Disease Research, Bangladesh (Icddr,b), Dhaka, Bangladesh; Waisman Research Center, Madison, WI, USA
| | - K Siddiqui
- Hyperfine.io, Guilford, CT, USA; Waisman Research Center, Madison, WI, USA
| | - N Sindano
- University of North Carolina - Global Projects Zambia, Lusaka, Zambia; Waisman Research Center, Madison, WI, USA
| | - M B Spelke
- University of North Carolina, Department of Obstetrics and Gynecology, Chapel Hill, USA; Waisman Research Center, Madison, WI, USA
| | - P E Springer
- Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Waisman Research Center, Madison, WI, USA
| | - F E Suleman
- Department of Radiology, Faculty of Health Sciences, Kalafong Hospital, University of Pretoria, Pretoria, South Africa; Waisman Research Center, Madison, WI, USA
| | - P C Sundgren
- Section of Diagnostic Radiology,Department of Clinical Sciences Lund, Lund University, Lund, Sweden; Waisman Research Center, Madison, WI, USA
| | - R Teixeira
- Hyperfine.io, Guilford, CT, USA; Waisman Research Center, Madison, WI, USA
| | - W Terekegn
- Addis Continental Institute of Public Health, Addis Ababa, Ethiopia; Waisman Research Center, Madison, WI, USA
| | - M Traughber
- Hyperfine.io, Guilford, CT, USA; Waisman Research Center, Madison, WI, USA
| | - M G Tuuli
- Jaramogi Oginga Odinga Teaching and Referral Hospital, Kisumu, Kenya; Waisman Research Center, Madison, WI, USA
| | - J van Rensburg
- Institute for Cellular and Molecular Medicine, Department of Medical Immunology, University of Pretoria, Pretoria, South Africa; Waisman Research Center, Madison, WI, USA
| | - F Váša
- Centre for Neuroimaging Sciences, King's College London, London, UK; Waisman Research Center, Madison, WI, USA
| | - S Velaphi
- Department of Paediatrics and Child Health, Chris Hani Baragwanath Academic Hospital and Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Waisman Research Center, Madison, WI, USA
| | - P Velasco
- flywheel.io Minneapolis, MN, USA; Waisman Research Center, Madison, WI, USA
| | - I M Viljoen
- Department of Radiology, Faculty of Health Sciences, Chris Hani Baragwanath Academic Hospital, University; Waisman Research Center, Madison, WI, USA
| | - M Vokhiwa
- Training and Research Unit of Excellence (TRUE), Zomba Malawi; Waisman Research Center, Madison, WI, USA
| | - A Webb
- Dept. of Radiology, Leiden University, Leiden, the Netherlands; Waisman Research Center, Madison, WI, USA
| | - C Weiant
- CaliberMRI, Boulder CO USA; Waisman Research Center, Madison, WI, USA
| | - N Wiley
- Dept. of Neurology, University of British Columbia, Vancouver, BC, Canada; Waisman Research Center, Madison, WI, USA
| | - P Wintermark
- Division of Newborn Medicine, Department of Pediatrics, Montreal Children's Hospital, McGill University, Montreal, QC, Canada; Waisman Research Center, Madison, WI, USA
| | - K Yibetal
- Addis Continental Institute of Public Health, Addis Ababa, Ethiopia; Waisman Research Center, Madison, WI, USA
| | - Scl Deoni
- Bill & Melinda Gates Foundation, MNCH D&T, Seattle, WA, USA; Waisman Research Center, Madison, WI, USA
| | - Scr Williams
- Centre for Neuroimaging Sciences, King's College London, London, UK; Waisman Research Center, Madison, WI, USA.
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2
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Paus T. Population Neuroscience: Principles and Advances. Curr Top Behav Neurosci 2024. [PMID: 38589637 DOI: 10.1007/7854_2024_474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
In population neuroscience, three disciplines come together to advance our knowledge of factors that shape the human brain: neuroscience, genetics, and epidemiology (Paus, Human Brain Mapping 31:891-903, 2010). Here, I will come back to some of the background material reviewed in more detail in our previous book (Paus, Population Neuroscience, 2013), followed by a brief overview of current advances and challenges faced by this integrative approach.
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Affiliation(s)
- Tomáš Paus
- Department of Psychiatry and Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
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3
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Vosberg DE, Jurisica I, Pausova Z, Paus T. Intrauterine growth and the tangential expansion of the human cerebral cortex in times of food scarcity and abundance. Nat Commun 2024; 15:1205. [PMID: 38350995 PMCID: PMC10864407 DOI: 10.1038/s41467-024-45409-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 01/22/2024] [Indexed: 02/16/2024] Open
Abstract
Tangential growth of the human cerebral cortex is driven by cell proliferation during the first and second trimester of pregnancy. Fetal growth peaks in mid-gestation. Here, we explore how genes associated with fetal growth relate to cortical growth. We find that both maternal and fetal genetic variants associated with higher birthweight predict larger cortical surface area. The relative dominance of the maternal vs. fetal variants in these associations show striking variations across birth years (1943 to 1966). The birth-year patterns vary as a function of the epigenetic status near genes differentially methylated in individuals exposed (or not) to famine during the Dutch Winter of 1944/1945. Thus, it appears that the two sets of molecular processes contribute to early cortical development to a different degree in times of food scarcity or its abundance.
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Affiliation(s)
- Daniel E Vosberg
- Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
- Research Institute of the Hospital for Sick Children, Toronto, ON, Canada
| | - Igor Jurisica
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, and Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, Toronto, ON, Canada
- Departments of Medical Biophysics and Computer Science, and the Faculty of Dentistry, University of Toronto, Toronto, ON, Canada
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Zdenka Pausova
- Research Institute of the Hospital for Sick Children, Toronto, ON, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
- ECOGENE-21, Chicoutimi, Quebec, Canada
| | - Tomáš Paus
- Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada.
- Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada.
- ECOGENE-21, Chicoutimi, Quebec, Canada.
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada.
- Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada.
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4
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Estevez-Fraga C, Altmann A, Parker CS, Scahill RI, Costa B, Chen Z, Manzoni C, Zarkali A, Durr A, Roos RAC, Landwehrmeyer B, Leavitt BR, Rees G, Tabrizi SJ, McColgan P. Genetic topography and cortical cell loss in Huntington's disease link development and neurodegeneration. Brain 2023; 146:4532-4546. [PMID: 37587097 PMCID: PMC10629790 DOI: 10.1093/brain/awad275] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 07/12/2023] [Accepted: 07/28/2023] [Indexed: 08/18/2023] Open
Abstract
Cortical cell loss is a core feature of Huntington's disease (HD), beginning many years before clinical motor diagnosis, during the premanifest stage. However, it is unclear how genetic topography relates to cortical cell loss. Here, we explore the biological processes and cell types underlying this relationship and validate these using cell-specific post-mortem data. Eighty premanifest participants on average 15 years from disease onset and 71 controls were included. Using volumetric and diffusion MRI we extracted HD-specific whole brain maps where lower grey matter volume and higher grey matter mean diffusivity, relative to controls, were used as proxies of cortical cell loss. These maps were combined with gene expression data from the Allen Human Brain Atlas (AHBA) to investigate the biological processes relating genetic topography and cortical cell loss. Cortical cell loss was positively correlated with the expression of developmental genes (i.e. higher expression correlated with greater atrophy and increased diffusivity) and negatively correlated with the expression of synaptic and metabolic genes that have been implicated in neurodegeneration. These findings were consistent for diffusion MRI and volumetric HD-specific brain maps. As wild-type huntingtin is known to play a role in neurodevelopment, we explored the association between wild-type huntingtin (HTT) expression and developmental gene expression across the AHBA. Co-expression network analyses in 134 human brains free of neurodegenerative disorders were also performed. HTT expression was correlated with the expression of genes involved in neurodevelopment while co-expression network analyses also revealed that HTT expression was associated with developmental biological processes. Expression weighted cell-type enrichment (EWCE) analyses were used to explore which specific cell types were associated with HD cortical cell loss and these associations were validated using cell specific single nucleus RNAseq (snRNAseq) data from post-mortem HD brains. The developmental transcriptomic profile of cortical cell loss in preHD was enriched in astrocytes and endothelial cells, while the neurodegenerative transcriptomic profile was enriched for neuronal and microglial cells. Astrocyte-specific genes differentially expressed in HD post-mortem brains relative to controls using snRNAseq were enriched in the developmental transcriptomic profile, while neuronal and microglial-specific genes were enriched in the neurodegenerative transcriptomic profile. Our findings suggest that cortical cell loss in preHD may arise from dual pathological processes, emerging as a consequence of neurodevelopmental changes, at the beginning of life, followed by neurodegeneration in adulthood, targeting areas with reduced expression of synaptic and metabolic genes. These events result in age-related cell death across multiple brain cell types.
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Affiliation(s)
- Carlos Estevez-Fraga
- Department of Neurodegenerative Disease, University College London, London WC1B 5EH, UK
| | - Andre Altmann
- Centre for Medical Image Computing, University College London, London WC1V 6LJ, UK
| | - Christopher S Parker
- Centre for Medical Image Computing, University College London, London WC1V 6LJ, UK
| | - Rachael I Scahill
- Department of Neurodegenerative Disease, University College London, London WC1B 5EH, UK
| | - Beatrice Costa
- Department of Neurodegenerative Disease, University College London, London WC1B 5EH, UK
- Gladstone Institutes, San Francisco, CA 94158, USA
| | - Zhongbo Chen
- Department of Neurodegenerative Disease, University College London, London WC1B 5EH, UK
| | - Claudia Manzoni
- School of Pharmacy, University College London, London WC1N 1AX, UK
| | - Angeliki Zarkali
- Dementia Research Centre, University College London, London WC1N 3AR, UK
| | - Alexandra Durr
- Sorbonne Université, Paris Brain Institute (ICM), AP-HP, Inserm, CNRS, Paris 75013, France
| | - Raymund A C Roos
- Department of Neurology, Leiden University Medical Centre, Leiden 2333, The Netherlands
| | | | - Blair R Leavitt
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver BC V5Z 4H4Canada
- Division of Neurology, Department of Medicine, University of British Columbia Hospital, Vancouver BC V6T 2B5, Canada
| | - Geraint Rees
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Sarah J Tabrizi
- Department of Neurodegenerative Disease, University College London, London WC1B 5EH, UK
| | - Peter McColgan
- Department of Neurodegenerative Disease, University College London, London WC1B 5EH, UK
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5
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Shi R, Xiang S, Jia T, Robbins TW, Kang J, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Lin X, Sahakian BJ, Feng J. Structural neurodevelopment at the individual level - a life-course investigation using ABCD, IMAGEN and UK Biobank data. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.20.23295841. [PMID: 37790416 PMCID: PMC10543061 DOI: 10.1101/2023.09.20.23295841] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Adolescents exhibit remarkable heterogeneity in the structural architecture of brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, existing research has largely focused on population averages and the neurobiological basis underlying individual heterogeneity remains poorly understood. Using structural magnetic resonance imaging from the IMAGEN cohort (n=1,543), we show that adolescents can be clustered into three groups defined by distinct developmental patterns of whole-brain gray matter volume (GMV). Genetic and epigenetic determinants of group clustering and long-term impacts of neurodevelopment in mid-to-late adulthood were investigated using data from the ABCD, IMAGEN and UK Biobank cohorts. Group 1, characterized by continuously decreasing GMV, showed generally the best neurocognitive performances during adolescence. Compared to Group 1, Group 2 exhibited a slower rate of GMV decrease and worsened neurocognitive development, which was associated with epigenetic changes and greater environmental burden. Further, Group 3 showed increasing GMV and delayed neurocognitive development during adolescence due to a genetic variation, while these disadvantages were attenuated in mid-to-late adulthood. In summary, our study revealed novel clusters of adolescent structural neurodevelopment and suggested that genetically-predicted delayed neurodevelopment has limited long-term effects on mental well-being and socio-economic outcomes later in life. Our results could inform future research on policy interventions aimed at reducing the financial and emotional burden of mental illness.
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Makowski C, Wang H, Srinivasan A, Qi A, Qiu Y, van der Meer D, Frei O, Zou J, Visscher P, Yang J, Chen CH. Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness. Proc Natl Acad Sci U S A 2023; 120:e2214834120. [PMID: 36893272 PMCID: PMC10089183 DOI: 10.1073/pnas.2214834120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 01/18/2023] [Indexed: 03/11/2023] Open
Abstract
Human cortical expansion has occurred non-uniformly across the brain. We assessed the genetic architecture of cortical global expansion and regionalization by comparing two sets of genome-wide association studies of 24 cortical regions with and without adjustment for global measures (i.e., total surface area, mean cortical thickness) using a genetically informed parcellation in 32,488 adults. We found 393 and 756 significant loci with and without adjusting for globals, respectively, where 8% and 45% loci were associated with more than one region. Results from analyses without adjustment for globals recovered loci associated with global measures. Genetic factors that contribute to total surface area of the cortex particularly expand anterior/frontal regions, whereas those contributing to thicker cortex predominantly increase dorsal/frontal-parietal thickness. Interactome-based analyses revealed significant genetic overlap of global and dorsolateral prefrontal modules, enriched for neurodevelopmental and immune system pathways. Consideration of global measures is important in understanding the genetic variants underlying cortical morphology.
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Affiliation(s)
- Carolina Makowski
- Department of Radiology, University of California San Diego, La Jolla, CA92093
| | - Hao Wang
- Department of Radiology, University of California San Diego, La Jolla, CA92093
| | - Anjali Srinivasan
- Department of Radiology, University of California San Diego, La Jolla, CA92093
| | - Anna Qi
- Department of Radiology, University of California San Diego, La Jolla, CA92093
| | - Yuqi Qiu
- School of Statistics, East China Normal University, Shanghai20050, China
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research Centre, Division of Mental Health and Addiction, University of Oslo, Oslo0450, Norway
| | - Oleksandr Frei
- Norwegian Centre for Mental Disorders Research Centre, Division of Mental Health and Addiction, University of Oslo, Oslo0450, Norway
| | - Jingjing Zou
- Division of Biostatistics and Bioinformatics, University of California San Diego, La Jolla, CA92093
| | - Peter M. Visscher
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD4072, Australia
| | - Jian Yang
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang310024, China
| | - Chi-Hua Chen
- Department of Radiology, University of California San Diego, La Jolla, CA92093
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7
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Grotzinger AD, Mallard TT, Liu Z, Seidlitz J, Ge T, Smoller JW. Multivariate genomic architecture of cortical thickness and surface area at multiple levels of analysis. Nat Commun 2023; 14:946. [PMID: 36806290 PMCID: PMC9941500 DOI: 10.1038/s41467-023-36605-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 02/08/2023] [Indexed: 02/22/2023] Open
Abstract
Recent work in imaging genetics suggests high levels of genetic overlap within cortical regions for cortical thickness (CT) and surface area (SA). We model this multivariate system of genetic relationships by applying Genomic Structural Equation Modeling (Genomic SEM) and parsimoniously define five genomic brain factors underlying both CT and SA along with a general factor capturing genetic overlap across all brain regions. We validate these factors by demonstrating the generalizability of the model to a semi-independent sample and show that the factors align with biologically and functionally relevant parcellations of the cortex. We apply Stratified Genomic SEM to identify specific categories of genes (e.g., neuronal cell types) that are disproportionately associated with pleiotropy across specific subclusters of brain regions, as indexed by the genomic factors. Finally, we examine genetic associations with psychiatric and cognitive correlates, finding that broad aspects of cognitive function are associated with a general factor for SA and that psychiatric associations are null. These analyses provide key insights into the multivariate genomic architecture of two critical features of the cerebral cortex.
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Affiliation(s)
- Andrew D Grotzinger
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.
| | - Travis T Mallard
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Zhaowen Liu
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Jakob Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Jordan W Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
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8
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Cortical profiles of numerous psychiatric disorders and normal development share a common pattern. Mol Psychiatry 2023; 28:698-709. [PMID: 36380235 DOI: 10.1038/s41380-022-01855-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 10/19/2022] [Accepted: 10/24/2022] [Indexed: 11/16/2022]
Abstract
The neurobiological bases of the association between development and psychopathology remain poorly understood. Here, we identify a shared spatial pattern of cortical thickness (CT) in normative development and several psychiatric and neurological disorders. Principal component analysis (PCA) was applied to CT of 68 regions in the Desikan-Killiany atlas derived from three large-scale datasets comprising a total of 41,075 neurotypical participants. PCA produced a spatially broad first principal component (PC1) that was reproducible across datasets. Then PC1 derived from healthy adult participants was compared to the pattern of CT differences associated with psychiatric and neurological disorders comprising a total of 14,886 cases and 20,962 controls from seven ENIGMA disease-related working groups, normative maturation and aging comprising a total of 17,697 scans from the ABCD Study® and the IMAGEN developmental study, and 17,075 participants from the ENIGMA Lifespan working group, as well as gene expression maps from the Allen Human Brain Atlas. Results revealed substantial spatial correspondences between PC1 and widespread lower CT observed in numerous psychiatric disorders. Moreover, the PC1 pattern was also correlated with the spatial pattern of normative maturation and aging. The transcriptional analysis identified a set of genes including KCNA2, KCNS1 and KCNS2 with expression patterns closely related to the spatial pattern of PC1. The gene category enrichment analysis indicated that the transcriptional correlations of PC1 were enriched to multiple gene ontology categories and were specifically over-represented starting at late childhood, coinciding with the onset of significant cortical maturation and emergence of psychopathology during the prepubertal-to-pubertal transition. Collectively, the present study reports a reproducible latent pattern of CT that captures interregional profiles of cortical changes in both normative brain maturation and a spectrum of psychiatric disorders. The pubertal timing of the expression of PC1-related genes implicates disrupted neurodevelopment in the pathogenesis of the spectrum of psychiatric diseases emerging during adolescence.
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9
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Xu J, Shin J, McGee M, Unger S, Bando N, Sato J, Vandewouw M, Patel Y, Branson HM, Paus T, Pausova Z, O'Connor DL. Intake of mother's milk by very-low-birth-weight infants and variation in DNA methylation of genes involved in neurodevelopment at 5.5 years of age. Am J Clin Nutr 2022; 116:1038-1048. [PMID: 35977396 PMCID: PMC9535521 DOI: 10.1093/ajcn/nqac221] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 08/09/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Mechanisms responsible for associations between intake of mother's milk in very-low-birth-weight (VLBW, <1500 g) infants and later neurodevelopment are poorly understood. It is proposed that early nutrition may affect neurodevelopmental pathways by altering gene expression through epigenetic modification. Variation in DNA methylation (DNAm) at cytosine-guanine dinucleotides (CpGs) is a commonly studied epigenetic modification. OBJECTIVES We aimed to assess whether early mother's milk intake by VLBW infants is associated with variations in DNAm at 5.5 y, and whether these variations correlate with neurodevelopmental phenotypes. METHODS This cohort study was a 5.5-y follow-up (2016-2018) of VLBW infants born in Ontario, Canada who participated in the Donor Milk for Improved Neurodevelopmental Outcomes trial. We performed an epigenome-wide association study (EWAS) to test whether percentage mother's milk (not including supplemental donor milk) during hospitalization was associated with DNAm in buccal cells during early childhood (n = 143; mean ± SD age: 5.7 ± 0.2 y; birth weight: 1008 ± 517 g). DNAm was assessed with the Illumina Infinium MethylationEPIC array at 814,583 CpGs. In secondary analyses, we tested associations between top-ranked CpGs and measures of early childhood neurodevelopment, e.g., total surface area of the cerebral cortex (n = 41, MRI) and Full-Scale IQ (n = 133, Wechsler Preschool and Primary Scale of Intelligence-IV). RESULTS EWAS analysis demonstrated percentage mother's milk intake by VLBW infants during hospitalization was associated with DNAm at 2 CpGs, cg03744440 [myosin XVB (MYO15B)] and cg00851389 [metallothionein 1A (MT1A)], at 5.5 y (P < 9E-08). Gene set enrichment analysis indicated that top-ranked CpGs (P < 0.001) were annotated to genes enriched in neurodevelopmental biological processes. Corroborating these findings, DNAm at several top identified CpGs from the EWAS was associated with cortical surface area and IQ at 5.5 y (P < 0.05). CONCLUSIONS In-hospital percentage mother's milk intake by VLBW infants was associated with variations in DNAm of neurodevelopmental genes at 5.5 y; some of these DNAm variations are associated with brain structure and IQ.This trial was registered at isrctn.com as ISRCTN35317141 and at clinicaltrials.gov as NCT02759809.
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Affiliation(s)
- Jingxiong Xu
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
| | - Jean Shin
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Meghan McGee
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sharon Unger
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
- Department of Pediatrics, Sinai Health, Toronto, Ontario, Canada
- Division of Neonatology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Nicole Bando
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Julie Sato
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Neuroscience & Mental Health Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Marlee Vandewouw
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada
- Neuroscience & Mental Health Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Yash Patel
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Helen M Branson
- Division of Neuroradiology, Department of Medical Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Tomas Paus
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, Faculty of Medicine and CHU Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Department of Neuroscience, Faculty of Medicine and CHU Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
| | - Zdenka Pausova
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Deborah L O'Connor
- Translational Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Pediatrics, Sinai Health, Toronto, Ontario, Canada
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10
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Makowski C, Wang H, Chen CH. Clinical opportunity awaits at the intersection of genomics and brain imaging. J Psychiatry Neurosci 2022; 47:E293-E298. [PMID: 35948342 PMCID: PMC9377545 DOI: 10.1503/jpn.220075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
| | | | - Chi-Hua Chen
- From the Center for Multimodal Imaging and Genetics, Department of Radiology, University of California San Diego, San Diego, Cali., USA
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11
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Paus T, Debette S, Seshadri S. Editorial: Population Neuroscience of Development and Aging. Front Syst Neurosci 2022; 16:897943. [PMID: 35547237 PMCID: PMC9082024 DOI: 10.3389/fnsys.2022.897943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/07/2022] [Indexed: 11/19/2022] Open
Affiliation(s)
- Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
- *Correspondence: Tomáš Paus
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, Bordeaux, France
- CHU de Bordeaux, Department of Neurology, Bordeaux, France
| | - Sudha Seshadri
- Department of Epidemiology and Biostatistics, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, United States
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12
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Sarnowski C, Ghanbari M, Bis JC, Logue M, Fornage M, Mishra A, Ahmad S, Beiser AS, Boerwinkle E, Bouteloup V, Chouraki V, Cupples LA, Damotte V, DeCarli CS, DeStefano AL, Djoussé L, Fohner AE, Franz CE, Kautz TF, Lambert JC, Lyons MJ, Mosley TH, Mukamal KJ, Pase MP, Portilla Fernandez EC, Rissman RA, Satizabal CL, Vasan RS, Yaqub A, Debette S, Dufouil C, Launer LJ, Kremen WS, Longstreth WT, Ikram MA, Seshadri S. Meta-analysis of genome-wide association studies identifies ancestry-specific associations underlying circulating total tau levels. Commun Biol 2022; 5:336. [PMID: 35396452 PMCID: PMC8993877 DOI: 10.1038/s42003-022-03287-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 03/17/2022] [Indexed: 01/27/2023] Open
Abstract
Circulating total-tau levels can be used as an endophenotype to identify genetic risk factors for tauopathies and related neurological disorders. Here, we confirmed and better characterized the association of the 17q21 MAPT locus with circulating total-tau in 14,721 European participants and identified three novel loci in 953 African American participants (4q31, 5p13, and 6q25) at P < 5 × 10-8. We additionally detected 14 novel loci at P < 5 × 10-7, specific to either Europeans or African Americans. Using whole-exome sequence data in 2,279 European participants, we identified ten genes associated with circulating total-tau when aggregating rare variants. Our genetic study sheds light on genes reported to be associated with neurological diseases including stroke, Alzheimer's, and Parkinson's (F5, MAP1B, and BCAS3), with Alzheimer's pathological hallmarks (ADAMTS12, IL15, and FHIT), or with an important function in the brain (PARD3, ELFN2, UBASH3B, SLIT3, and NSD3), and suggests that the genetic architecture of circulating total-tau may differ according to ancestry.
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Affiliation(s)
- Chloé Sarnowski
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Mark Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry and Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
| | - Myriam Fornage
- University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, F-33000, Bordeaux, France
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Eric Boerwinkle
- University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Vincent Bouteloup
- Centre Inserm U1219 Bordeaux Population Health, CIC1401-EC, Institut de Santé Publique, d'Epidémiologie et de Développement, Université de Bordeaux, CHU de Bordeaux, Pôle Santé Publique, Bordeaux, France
| | - Vincent Chouraki
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE- LabEx DISTALZ - Risk factors and molecular determinants of aging diseases, F-59000, Lille, France
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
| | - Vincent Damotte
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE- LabEx DISTALZ - Risk factors and molecular determinants of aging diseases, F-59000, Lille, France
| | - Charles S DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA, USA
| | - Anita L DeStefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Luc Djoussé
- Department of Medicine, Division of Aging, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Alison E Fohner
- Institute of Public Health Genetics and Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Carol E Franz
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Tiffany F Kautz
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE- LabEx DISTALZ - Risk factors and molecular determinants of aging diseases, F-59000, Lille, France
| | - Michael J Lyons
- Department of Psychology and Brain Sciences, Boston University, Boston, MA, USA
| | | | - Kenneth J Mukamal
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Matthew P Pase
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | | | - Robert A Rissman
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Claudia L Satizabal
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Ramachandran S Vasan
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
- Preventive Medicine & Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - Amber Yaqub
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, F-33000, Bordeaux, France
- Bordeaux University Hospital, Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux, France
| | - Carole Dufouil
- Bordeaux University Hospital, Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux, France
| | | | - William S Kremen
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - William T Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sudha Seshadri
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
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13
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Patel Y, Parker N, Salum GA, Pausova Z, Paus T. General Psychopathology, Cognition, and the Cerebral Cortex in 10-Year-Old Children: Insights From the Adolescent Brain Cognitive Development Study. Front Hum Neurosci 2022; 15:781554. [PMID: 35145385 PMCID: PMC8823367 DOI: 10.3389/fnhum.2021.781554] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/29/2021] [Indexed: 01/24/2023] Open
Abstract
General psychopathology and cognition are likely to have a bidirectional influence on each other. Yet, the relationship between brain structure, psychopathology, and cognition remains unclear. This brief report investigates the association between structural properties of the cerebral cortex [surface area, cortical thickness, intracortical myelination indexed by the T1w/T2w ratio, and neurite density assessed by restriction spectrum imaging (RSI)] with general psychopathology and cognition in a sample of children from the Adolescent Brain Cognitive Development (ABCD) study. Higher levels of psychopathology and lower levels of cognitive ability were associated with a smaller cortical surface area. Inter-regionally—across the cerebral cortex—the strength of association between an area and psychopathology is strongly correlated with the strength of association between an area and cognition. Taken together, structural deviations particularly observed in the cortical surface area influence both psychopathology and cognition.
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Affiliation(s)
- Yash Patel
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Nadine Parker
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Giovanni A. Salum
- Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Tomáš Paus
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hopitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- *Correspondence: Tomáš Paus,
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14
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Nawaz A, Shilikbay T, Skariah G, Ceman S. Unwinding the roles of RNA helicase MOV10. WILEY INTERDISCIPLINARY REVIEWS-RNA 2021; 13:e1682. [PMID: 34327836 PMCID: PMC8799784 DOI: 10.1002/wrna.1682] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 06/15/2021] [Accepted: 06/23/2021] [Indexed: 12/12/2022]
Abstract
MOV10 is an RNA helicase that associates with the RNA‐induced silencing complex component Argonaute (AGO), likely resolving RNA secondary structures. MOV10 also binds the Fragile X mental retardation protein to block AGO2 binding at some sites and associates with UPF1, a principal component of the nonsense‐mediated RNA decay pathway. MOV10 is widely expressed and has a key role in the cellular response to viral infection and in suppressing retrotransposition. Posttranslational modifications of MOV10 include ubiquitination, which leads to stimulation‐dependent degradation, and phosphorylation, which has an unknown function. MOV10 localizes to the nucleus and/or cytoplasm in a cell type‐specific and developmental stage‐specific manner. Knockout of Mov10 leads to embryonic lethality, underscoring an important role in development where it is required for the completion of gastrulation. MOV10 is expressed throughout the organism; however, most studies have focused on germline cells and neurons. In the testes, the knockdown of Mov10 disrupts proliferation of spermatogonial progenitor cells. In brain, MOV10 is significantly elevated postnatally and binds mRNAs encoding cytoskeleton and neuron projection proteins, suggesting an important role in neuronal architecture. Heterozygous Mov10 mutant mice are hyperactive and anxious and their cultured hippocampal neurons have reduced dendritic arborization. Zygotic knockdown of Mov10 in Xenopus laevis causes abnormal head and eye development and mislocalization of neuronal precursors in the brain. Thus, MOV10 plays a vital role during development, defense against viral infection and in neuronal development and function: its many roles and regulation are only beginning to be unraveled. This article is categorized under:RNA Interactions with Proteins and Other Molecules > RNA‐Protein Complexes RNA Interactions with Proteins and Other Molecules > Protein‐RNA Interactions: Functional Implications
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Affiliation(s)
- Aatiqa Nawaz
- Department of Cell and Developmental Biology, University of Illinois-Urbana Champaign, Champaign, Illinois, USA
| | - Temirlan Shilikbay
- Department of Cell and Developmental Biology, University of Illinois-Urbana Champaign, Champaign, Illinois, USA
| | - Geena Skariah
- Neuroscience Program, University of Illinois-Urbana Champaign, Champaign, Illinois, USA.,Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Stephanie Ceman
- Department of Cell and Developmental Biology, Neuroscience Program, University of Illinois-Urbana Champaign, Champaign, Illinois, USA
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15
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Medland SE, Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Thomopoulos SI, Stein JL, Franke B, Martin NG, Thompson PM. Ten years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group. Hum Brain Mapp 2020; 43:292-299. [PMID: 33300665 PMCID: PMC8675405 DOI: 10.1002/hbm.25311] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 11/16/2020] [Accepted: 11/17/2020] [Indexed: 12/22/2022] Open
Abstract
Here we review the motivation for creating the enhancing neuroimaging genetics through meta-analysis (ENIGMA) Consortium and the genetic analyses undertaken by the consortium so far. We discuss the methodological challenges, findings, and future directions of the genetics working group. A major goal of the working group is tackling the reproducibility crisis affecting "candidate gene" and genome-wide association analyses in neuroimaging. To address this, we developed harmonized analytic methods, and support their use in coordinated analyses across sites worldwide, which also makes it possible to understand heterogeneity in results across sites. These efforts have resulted in the identification of hundreds of common genomic loci robustly associated with brain structure. We have found both pleiotropic and specific genetic effects associated with brain structures, as well as genetic correlations with psychiatric and neurological diseases.
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Affiliation(s)
- Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia.,School of Psychology, University of Queensland, Brisbane, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Katrina L Grasby
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, California, USA
| | - Jodie N Painter
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Lucía Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia.,School of Psychology, University of Queensland, Brisbane, Australia.,School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia.,Faculty of Psychology, University of Murcia, Murcia, Spain
| | - Janita Bralten
- Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Derrek P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, California, USA.,Personalized Healthcare, Genentech, Inc., South San Francisco, California, USA
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Australia.,School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Fabrizio Pizzagalli
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, California, USA
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, California, USA
| | - Jason L Stein
- Department of Genetics & UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Barbara Franke
- Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, California, USA
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