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Knol MJ, Poot RA, Evans TE, Satizabal CL, Mishra A, Sargurupremraj M, van der Auwera S, Duperron MG, Jian X, Hostettler IC, van Dam-Nolen DHK, Lamballais S, Pawlak MA, Lewis CE, Carrion-Castillo A, van Erp TGM, Reinbold CS, Shin J, Scholz M, Håberg AK, Kämpe A, Li GHY, Avinun R, Atkins JR, Hsu FC, Amod AR, Lam M, Tsuchida A, Teunissen MWA, Aygün N, Patel Y, Liang D, Beiser AS, Beyer F, Bis JC, Bos D, Bryan RN, Bülow R, Caspers S, Catheline G, Cecil CAM, Dalvie S, Dartigues JF, DeCarli C, Enlund-Cerullo M, Ford JM, Franke B, Freedman BI, Friedrich N, Green MJ, Haworth S, Helmer C, Hoffmann P, Homuth G, Ikram MK, Jack CR, Jahanshad N, Jockwitz C, Kamatani Y, Knodt AR, Li S, Lim K, Longstreth WT, Macciardi F, Mäkitie O, Mazoyer B, Medland SE, Miyamoto S, Moebus S, Mosley TH, Muetzel R, Mühleisen TW, Nagata M, Nakahara S, Palmer ND, Pausova Z, Preda A, Quidé Y, Reay WR, Roshchupkin GV, Schmidt R, Schreiner PJ, Setoh K, Shapland CY, Sidney S, St Pourcain B, Stein JL, Tabara Y, Teumer A, Uhlmann A, van der Lugt A, Vernooij MW, Werring DJ, Windham BG, Witte AV, Wittfeld K, Yang Q, Yoshida K, Brunner HG, Le Grand Q, Sim K, Stein DJ, Bowden DW, Cairns MJ, Hariri AR, Cheung CL, Andersson S, Villringer A, Paus T, Cichon S, Calhoun VD, Crivello F, Launer LJ, White T, Koudstaal PJ, Houlden H, Fornage M, Matsuda F, Grabe HJ, Ikram MA, Debette S, Thompson PM, Seshadri S, Adams HHH. Genetic variants for head size share genes and pathways with cancer. Cell Rep Med 2024:101529. [PMID: 38703765 DOI: 10.1016/j.xcrm.2024.101529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 09/18/2023] [Accepted: 04/04/2024] [Indexed: 05/06/2024]
Abstract
The size of the human head is highly heritable, but genetic drivers of its variation within the general population remain unmapped. We perform a genome-wide association study on head size (N = 80,890) and identify 67 genetic loci, of which 50 are novel. Neuroimaging studies show that 17 variants affect specific brain areas, but most have widespread effects. Gene set enrichment is observed for various cancers and the p53, Wnt, and ErbB signaling pathways. Genes harboring lead variants are enriched for macrocephaly syndrome genes (37-fold) and high-fidelity cancer genes (9-fold), which is not seen for human height variants. Head size variants are also near genes preferentially expressed in intermediate progenitor cells, neural cells linked to evolutionary brain expansion. Our results indicate that genes regulating early brain and cranial growth incline to neoplasia later in life, irrespective of height. This warrants investigation of clinical implications of the link between head size and cancer.
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Affiliation(s)
- Maria J Knol
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Raymond A Poot
- Department of Cell Biology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Tavia E Evans
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA; The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, Bordeaux, France
| | - Muralidharan Sargurupremraj
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - Sandra van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany; German Centre of Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Marie-Gabrielle Duperron
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, Bordeaux, France
| | - Xueqiu Jian
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Isabel C Hostettler
- Stroke Research Centre, University College London, Institute of Neurology, London, UK; Department of Neurosurgery, Klinikum rechts der Isar, University of Munich, Munich, Germany; Neurosurgical Department, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Sander Lamballais
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mikolaj A Pawlak
- Department of Neurology, Poznań University of Medical Sciences, Poznań, Poland; Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Cora E Lewis
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
| | - Amaia Carrion-Castillo
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
| | - Céline S Reinbold
- Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland; Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, Canada; Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany; LIFE Research Center for Civilization Disease, Leipzig, Germany
| | - Asta K Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Radiology and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Anders Kämpe
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Gloria H Y Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Reut Avinun
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Joshua R Atkins
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Alyssa R Amod
- Department of Child and Adolescent Psychiatry, TU Dresden, Dresden, Germany
| | - Max Lam
- North Region, Institute of Mental Health, Singapore, Singapore; Population and Global Health, LKC Medicine, Nanyang Technological University, Singapore, Singapore
| | - Ami Tsuchida
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, Bordeaux, France; Groupe d'imagerie neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, Bordeaux, France
| | - Mariël W A Teunissen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Neurology, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Nil Aygün
- Department of Genetics UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yash Patel
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Dan Liang
- Department of Genetics UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexa S Beiser
- The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Frauke Beyer
- Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany; Collaborative Research Center 1052 Obesity Mechanisms, Faculty of Medicine, University of Leipzig, Leipzig, Germany; Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - R Nick Bryan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Gwenaëlle Catheline
- University of Bordeaux, CNRS, INCIA, UMR 5287, team NeuroImagerie et Cognition Humaine, Bordeaux, France; EPHE-PSL University, Bordeaux, France
| | - Charlotte A M Cecil
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Shareefa Dalvie
- Department of Child and Adolescent Psychiatry, TU Dresden, Dresden, Germany
| | - Jean-François Dartigues
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team SEPIA, UMR 1219, Bordeaux, France
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA
| | - Maria Enlund-Cerullo
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland
| | - Judith M Ford
- San Francisco Veterans Administration Medical Center, San Francisco, CA, USA; University of California, San Francisco, San Francisco, CA, USA
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Melissa J Green
- School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - Simon Haworth
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Catherine Helmer
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team LEHA, UMR 1219, Bordeaux, France
| | - Per Hoffmann
- Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland; Institute of Human Genetics, University of Bonn Medical School, Bonn, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | | | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck USC School of Medicine, Los Angeles, CA, USA
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Medical Faculty, Aachen, Germany
| | - Yoichiro Kamatani
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Annchen R Knodt
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Shuo Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Keane Lim
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Fabio Macciardi
- Laboratory of Molecular Psychiatry, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Outi Mäkitie
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden; Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland
| | - Bernard Mazoyer
- Groupe d'imagerie neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, Bordeaux, France; Centre Hospitalo-Universitaire de Bordeaux, Bordeaux, France
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; School of Psychology, University of Queensland, Brisbane, QLD, Australia; Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Susanne Moebus
- Institute for Urban Public Health, University of Duisburg-Essen, Essen, Germany
| | - Thomas H Mosley
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, MS, USA; Memory Impairment and Neurodegenerative Dementia (MIND) Center, Jackson, MS, USA
| | - Ryan Muetzel
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Thomas W Mühleisen
- Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; C. and O. Vogt Institute for Brain Research, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Manabu Nagata
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Soichiro Nakahara
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA; Unit 2, Candidate Discovery Science Labs, Drug Discovery Research, Astellas Pharma Inc, 21 Miyukigaoka, Tsukuba, Ibaraki 305-8585, Japan
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, Canada; Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Adrian Preda
- Department of Psychiatry, University of California, Irvine, Irvine, CA, USA
| | - Yann Quidé
- School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - William R Reay
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Kazuya Setoh
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Chin Yang Shapland
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, University of Bristol, Bristol, UK
| | - Stephen Sidney
- Kaiser Permanente Division of Research, Oakland, CA, USA
| | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, the Netherlands; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Jason L Stein
- Department of Genetics UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Alexander Teumer
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anne Uhlmann
- Department of Child and Adolescent Psychiatry, TU Dresden, Dresden, Germany
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - David J Werring
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
| | - B Gwen Windham
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, MS, USA; Memory Impairment and Neurodegenerative Dementia (MIND) Center, Jackson, MS, USA
| | - A Veronica Witte
- Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany; Collaborative Research Center 1052 Obesity Mechanisms, Faculty of Medicine, University of Leipzig, Leipzig, Germany; Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany; German Centre of Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Han G Brunner
- Department of Human Genetics, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Clinical Genetics MUMC+, GROW School of Oncology and Developmental Biology, and MHeNs School of Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Quentin Le Grand
- Bordeaux Population Health, University of Bordeaux, INSERM U1219, Bordeaux, France
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Dan J Stein
- Department of Child and Adolescent Psychiatry, TU Dresden, Dresden, Germany; SAMRC Unit on Risk and Resilience, University of Cape Town, Cape Town, South Africa
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia; Centre for Brain and Mental Health Research, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Ahmad R Hariri
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Sture Andersson
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany; Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Tomas Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Sven Cichon
- Department of Biomedicine, University of Basel, Basel, Switzerland; Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) {Georgia State, Georgia Tech, Emory}, Atlanta, GA, USA
| | - Fabrice Crivello
- Groupe d'imagerie neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, Bordeaux, France
| | - Lenore J Launer
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute of Aging, The National Institutes of Health, Bethesda, MD, USA
| | - Tonya White
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Peter J Koudstaal
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Henry Houlden
- Stroke Research Centre, University College London, Institute of Neurology, London, UK
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Stéphanie Debette
- Bordeaux Population Health, University of Bordeaux, INSERM U1219, Bordeaux, France; Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck USC School of Medicine, Los Angeles, CA, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA; The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Hieab H H Adams
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
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Tsuchida A, Boutinaud P, Verrecchia V, Tzourio C, Debette S, Joliot M. Early detection of white matter hyperintensities using SHIVA-WMH detector. Hum Brain Mapp 2024; 45:e26548. [PMID: 38050769 PMCID: PMC10789222 DOI: 10.1002/hbm.26548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 10/06/2023] [Accepted: 11/16/2023] [Indexed: 12/06/2023] Open
Abstract
White matter hyperintensities (WMHs) are well-established markers of cerebral small vessel disease, and are associated with an increased risk of stroke, dementia, and mortality. Although their prevalence increases with age, small and punctate WMHs have been reported with surprisingly high frequency even in young, neurologically asymptomatic adults. However, most automated methods to segment WMH published to date are not optimized for detecting small and sparse WMH. Here we present the SHIVA-WMH tool, a deep-learning (DL)-based automatic WMH segmentation tool that has been trained with manual segmentations of WMH in a wide range of WMH severity. We show that it is able to detect WMH with high efficiency in subjects with only small punctate WMH as well as in subjects with large WMHs (i.e., with confluency) in evaluation datasets from three distinct databases: magnetic resonance imaging-Share consisting of young university students, MICCAI 2017 WMH challenge dataset consisting of older patients from memory clinics, and UK Biobank with community-dwelling middle-aged and older adults. Across these three cohorts with a wide-ranging WMH load, our tool achieved voxel-level and individual lesion cluster-level Dice scores of 0.66 and 0.71, respectively, which were higher than for three reference tools tested: the lesion prediction algorithm implemented in the lesion segmentation toolbox (LPA: Schmidt), PGS tool, a DL-based algorithm and the current winner of the MICCAI 2017 WMH challenge (Park et al.), and HyperMapper tool (Mojiri Forooshani et al.), another DL-based method with high reported performance in subjects with mild WMH burden. Our tool is publicly and openly available to the research community to facilitate investigations of WMH across a wide range of severity in other cohorts, and to contribute to our understanding of the emergence and progression of WMH.
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Affiliation(s)
- Ami Tsuchida
- GIN, IMN‐UMR5293Université de Bordeaux, CEA, CNRSBordeauxFrance
- BPH‐U1219, INSERMUniversité de BordeauxBordeauxFrance
| | | | - Violaine Verrecchia
- GIN, IMN‐UMR5293Université de Bordeaux, CEA, CNRSBordeauxFrance
- BPH‐U1219, INSERMUniversité de BordeauxBordeauxFrance
| | | | | | - Marc Joliot
- GIN, IMN‐UMR5293Université de Bordeaux, CEA, CNRSBordeauxFrance
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Lima Rebouças SC, Crivello F, Tsuchida A, Tzourio C, Schweitzer C, Korobelnik J, Delcourt C, Helmer C. Association of retinal nerve layers thickness and brain imaging in healthy young subjects from the i-Share-Bordeaux study. Hum Brain Mapp 2023; 44:4722-4737. [PMID: 37401639 PMCID: PMC10400793 DOI: 10.1002/hbm.26412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 05/18/2023] [Accepted: 06/13/2023] [Indexed: 07/05/2023] Open
Abstract
Given the anatomical and functional similarities between the retina and the brain, the retina could be a "window" for viewing brain structures. We investigated the association between retinal nerve fiber layers (peripapillary retinal nerve fiber layer, ppRNFL; macular ganglion cell-inner plexiform layer, GC-IPL; and macular ganglion cell complex, GCC), and brain magnetic resonance imaging (MRI) parameters in young health adults. We included 857 students (mean age: 23.3 years, 71.3% women) from the i-Share study. We used multivariate linear models to study the cross-sectional association of each retinal nerve layer thickness assessed by spectral-domain optical coherence tomography (SD-OCT) with structural (volumes and cortical thickness), and microstructural brain markers, assessed on MRI globally and regionally. Microstructural MRI parameters included diffusion tensor imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI). On global brain analysis, thicker ppRNFL, GC-IPL and GCC were all significantly associated with patterns of diffusion metrics consistent with higher WM microstructural integrity. In regional analyses, after multiple testing corrections, our results suggested significant associations of some retinal nerve layers with brain regional gray matter occipital volumes and with diffusion MRI parameters in a region involved in the visual pathway and in regions containing associative tracts. No associations were found with global volumes or with global or regional cortical thicknesses. Results of this study suggest that some retinal nerve layers may reflect brain structures. Further studies are needed to confirm these results in young subjects.
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Affiliation(s)
| | | | - Ami Tsuchida
- University of Bordeaux, CNRS, CEA, IMN, GINBordeauxFrance
| | | | - Cédric Schweitzer
- Department of OphthalmologyBordeaux University HospitalBordeauxFrance
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4
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Duperron MG, Knol MJ, Le Grand Q, Evans TE, Mishra A, Tsuchida A, Roshchupkin G, Konuma T, Trégouët DA, Romero JR, Frenzel S, Luciano M, Hofer E, Bourgey M, Dueker ND, Delgado P, Hilal S, Tankard RM, Dubost F, Shin J, Saba Y, Armstrong NJ, Bordes C, Bastin ME, Beiser A, Brodaty H, Bülow R, Carrera C, Chen C, Cheng CY, Deary IJ, Gampawar PG, Himali JJ, Jiang J, Kawaguchi T, Li S, Macalli M, Marquis P, Morris Z, Muñoz Maniega S, Miyamoto S, Okawa M, Paradise M, Parva P, Rundek T, Sargurupremraj M, Schilling S, Setoh K, Soukarieh O, Tabara Y, Teumer A, Thalamuthu A, Trollor JN, Valdés Hernández MC, Vernooij MW, Völker U, Wittfeld K, Wong TY, Wright MJ, Zhang J, Zhao W, Zhu YC, Schmidt H, Sachdev PS, Wen W, Yoshida K, Joutel A, Satizabal CL, Sacco RL, Bourque G, Lathrop M, Paus T, Fernandez-Cadenas I, Yang Q, Mazoyer B, Boutinaud P, Okada Y, Grabe HJ, Mather KA, Schmidt R, Joliot M, Ikram MA, Matsuda F, Tzourio C, Wardlaw JM, Seshadri S, Adams HHH, Debette S. Genomics of perivascular space burden unravels early mechanisms of cerebral small vessel disease. Nat Med 2023; 29:950-962. [PMID: 37069360 PMCID: PMC10115645 DOI: 10.1038/s41591-023-02268-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 02/15/2023] [Indexed: 04/19/2023]
Abstract
Perivascular space (PVS) burden is an emerging, poorly understood, magnetic resonance imaging marker of cerebral small vessel disease, a leading cause of stroke and dementia. Genome-wide association studies in up to 40,095 participants (18 population-based cohorts, 66.3 ± 8.6 yr, 96.9% European ancestry) revealed 24 genome-wide significant PVS risk loci, mainly in the white matter. These were associated with white matter PVS already in young adults (N = 1,748; 22.1 ± 2.3 yr) and were enriched in early-onset leukodystrophy genes and genes expressed in fetal brain endothelial cells, suggesting early-life mechanisms. In total, 53% of white matter PVS risk loci showed nominally significant associations (27% after multiple-testing correction) in a Japanese population-based cohort (N = 2,862; 68.3 ± 5.3 yr). Mendelian randomization supported causal associations of high blood pressure with basal ganglia and hippocampal PVS, and of basal ganglia PVS and hippocampal PVS with stroke, accounting for blood pressure. Our findings provide insight into the biology of PVS and cerebral small vessel disease, pointing to pathways involving extracellular matrix, membrane transport and developmental processes, and the potential for genetically informed prioritization of drug targets.
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Affiliation(s)
- Marie-Gabrielle Duperron
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
- Department of Neurology, Institute of Neurodegenerative Diseases, Bordeaux University Hospital, Bordeaux, France
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Quentin Le Grand
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
| | - Tavia E Evans
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Aniket Mishra
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
| | - Ami Tsuchida
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
- Groupe d'Imagerie Neurofonctionelle - Institut des maladies neurodégénératives (GIN-IMN), UMR 5293, University of Bordeaux, CNRS, CEA, Bordeaux, France
| | - Gennady Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Takahiro Konuma
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - David-Alexandre Trégouët
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
| | - Jose Rafael Romero
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | | | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Mathieu Bourgey
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, Quebec, Canada
- Canadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada
| | - Nicole D Dueker
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Pilar Delgado
- Institut de Recerca Vall d'hebron, Neurovascular Research Lab, Universitat Autònoma de Barcelona, Barcelona, Spain
- Hospital Universitari Vall d'Hebron, Neurology Department, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Saima Hilal
- Memory Aging and Cognition Center, National University Health System, Singapore, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Rick M Tankard
- Department of Mathematics and Statistics, Curtin University, Perth, Western Australia, Australia
| | - Florian Dubost
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Medical Informatics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Yasaman Saba
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
- Institute for Molecular Biology & Biochemistry, Gottfried Schatz Research Center (for Cell Signaling, Metabolism and Aging), Medical University of Graz, Graz, Austria
| | - Nicola J Armstrong
- Department of Mathematics and Statistics, Curtin University, Perth, Western Australia, Australia
| | - Constance Bordes
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Alexa Beiser
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
- Dementia Collaborative Research Centre Assessment and Better Care, UNSW, Sydney, New South Wales, Australia
| | - Robin Bülow
- Institute for Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Caty Carrera
- Stroke Pharmacogenomics and Genetics Group, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Christopher Chen
- Memory Aging and Cognition Center, National University Health System, Singapore, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Center for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Ian J Deary
- School of Psychology, University of Edinburgh, Edinburgh, UK
| | - Piyush G Gampawar
- Institute for Molecular Biology & Biochemistry, Gottfried Schatz Research Center (for Cell Signaling, Metabolism and Aging), Medical University of Graz, Graz, Austria
| | - Jayandra J Himali
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
- Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shuo Li
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Melissa Macalli
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
| | - Pascale Marquis
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, Quebec, Canada
- Canadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada
| | - Zoe Morris
- Neuroimaging, Department of Clinical Neurosciences, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Susana Muñoz Maniega
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh, UK
| | | | - Masakazu Okawa
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Matthew Paradise
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Pedram Parva
- The Framingham Heart Study, Framingham, MA, USA
- Radiology Department, Boston University School of Medicine, Boston, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL, USA
| | | | - Sabrina Schilling
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
| | - Kazuya Setoh
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Omar Soukarieh
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Julian N Trollor
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Developmental Disability Neuropsychiatry, UNSW, Sydney, New South Wales, Australia
| | - Maria C Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Row Fogo Centre for Research into Ageing and the Brain, University of Edinburgh, Edinburgh, UK
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Tsinghua Medicine, Tsinghua University, Beijing, China
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Junyi Zhang
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Wanting Zhao
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- The Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Helena Schmidt
- Institute for Molecular Biology & Biochemistry, Gottfried Schatz Research Center (for Cell Signaling, Metabolism and Aging), Medical University of Graz, Graz, Austria
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
- Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Anne Joutel
- Institut de Psychiatrie et Neurosciences de Paris, Université Paris Cité, Inserm, France
| | - Claudia L Satizabal
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Framingham, MA, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
- Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA
| | - Ralph L Sacco
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL, USA
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Neurosurgery, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Guillaume Bourque
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, Quebec, Canada
- Canadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada
| | - Mark Lathrop
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, Quebec, Canada
| | - Tomas Paus
- University of Montreal, Faculty of Medicine, Departments of Psychiatry and Neuroscience, Montreal, Quebec, Canada
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Centre Hospitalier Universitaire Sainte Justine, Montreal, Quebec, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Israel Fernandez-Cadenas
- Stroke Pharmacogenomics and Genetics Group, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Stroke Pharmacogenomics and Genetics Group, Fundació per la Docència i la Recerca Mutua Terrassa, Terrassa, Spain
| | - Qiong Yang
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Bernard Mazoyer
- Groupe d'Imagerie Neurofonctionelle - Institut des maladies neurodégénératives (GIN-IMN), UMR 5293, University of Bordeaux, CNRS, CEA, Bordeaux, France
- Bordeaux University Hospital, Bordeaux, France
| | | | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Karen A Mather
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Marc Joliot
- Groupe d'Imagerie Neurofonctionelle - Institut des maladies neurodégénératives (GIN-IMN), UMR 5293, University of Bordeaux, CNRS, CEA, Bordeaux, France
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Christophe Tzourio
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France
- Department of Medical Informatics, Bordeaux University Hospital, Bordeaux, France
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh, UK
- Row Fogo Centre for Research into Ageing and the Brain, University of Edinburgh, Edinburgh, UK
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Framingham, MA, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
- Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA
| | - Hieab H H Adams
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
| | - Stéphanie Debette
- Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Inserm, Bordeaux, France.
- Department of Neurology, Institute of Neurodegenerative Diseases, Bordeaux University Hospital, Bordeaux, France.
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Grand QL, Tsuchida A, Koch A, Breteler MM, Seshadri S, Tzourio C, Crivello F, Debette S. Genetic analyses of diffusion MRI phenotypes: a lifespan exploration of cSVD determinants. Alzheimers Dement 2022. [DOI: 10.1002/alz.064948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Quentin Le Grand
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219 Bordeaux France
| | - Ami Tsuchida
- University of Bordeaux, CEA, CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group Bordeaux France
| | - Alexandra Koch
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE) Bonn Germany
| | - Monique M.B. Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE) Bonn Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn Bonn Germany
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine Boston MA USA
- Department of Population Health Sciences, UT Health San Antonio San Antonio TX USA
- The Framingham Heart Study Framingham MA USA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center San Antonio TX USA
| | - Christophe Tzourio
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219 Bordeaux France
- Bordeaux University Hospital, Department of Medical Informatics Bordeaux France
| | - Fabrice Crivello
- University of Bordeaux, CEA, CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group Bordeaux France
| | - Stéphanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219 Bordeaux France
- Bordeaux University Hospital, Department of Neurology, Institute of Neurodegenerative Diseases Bordeaux France
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Duperron M, Knol MJ, Grand QL, Evans TE, Mishra A, Roshchupkin GV, Konuma T, Tregouët DA, Romero JR, Frenzel S, Luciano M, Hofer E, Bourgey M, Dueker ND, Delgado P, Hilal S, Tankard RM, Dubost F, Shin J, Saba Y, Chen C, Rundek T, Teumer A, Tsuchida A, Schmidt H, Sachdev PS, Wen W, Joutel A, Satizabal CL, Sacco R, Bourque G, Lathrop M, Paus T, Fernandez‐Cadenas I, Mazoyer B, Okada Y, Grabe HJ, Mather KA, Schmidt R, Ikram MA, Tzourio C, Wardlaw JM, Seshadri S, Adams HH, Debette S. Genomics of perivascular space burden unravels early mechanisms of cerebral small vessel disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.064953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Marie‐Gabrielle Duperron
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219 Bordeaux France
| | - Maria J. Knol
- Erasmus MC ‐ University Medical Center Rotterdam Rotterdam Netherlands
| | - Quentin Le Grand
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219 Bordeaux France
| | - Tavia E Evans
- Erasmus MC University Medical Center Rotterdam Netherlands
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219 Bordeaux France
| | | | - Takahiro Konuma
- Department of Statistical Genetics, Osaka University Graduate School of Medicine Osaka Japan
- Central Pharmaceutical Research Institute Takatsuki Japan
| | | | | | | | | | - Edith Hofer
- Institut für Medizinische Informatik, Statistik und Dokumentation Graz Austria
| | | | | | - Pilar Delgado
- Institut de Recerca Vall d'hebron. Universitat Autònoma de Barcelona Barcelone Spain
| | - Saima Hilal
- National University of Singapore Singapore Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System Singapore Singapore
- Memory Aging and Cognition Center, National University Health System Singapore Singapore
| | - Rick M. Tankard
- Mathematics and Statistics, Murdoch University Australia Australia
| | - Florian Dubost
- Erasmus MC University Medical Center Rotterdam Netherlands
| | - Jean Shin
- University of Toronto Toronto ON Canada
| | - Yasaman Saba
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219 Bordeaux France
| | - Christopher Chen
- Memory Aging and Cognition Center, National University Health System Singapore Singapore
- National University of Singapore Kent Ridge Singapore
| | - Tatjana Rundek
- University of Miami Miller School of Medicine Miami Beach FL USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald Greifswald Germany
| | - Ami Tsuchida
- Univ. Bordeaux, CEA, CNRS, IMN, UMR 5293 Bordeaux France
| | | | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney Sydney NSW Australia
- Neuropsychiatric Institute, Prince of Wales Hospital Sydney NSW Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, UNSW Sydney Randwick Australia
- Neuropsychiatric Institute, Prince of Wales Hospital Randwick Australia
| | - Anne Joutel
- Institut de Psychiatrie et Neurosciences de Paris, Université de Paris, Inserm U1266 Paris France
| | - Claudia L Satizabal
- Boston University School of Medicine Boston MA USA
- Framingham Heart Study, NHLBI Framingham MA USA
- University of Texas Health Sciences Center San Antonio TX USA
| | - Ralph Sacco
- Department of Neurology, University of Miami Miller School of Medicine Miami FL USA
- Evelyn F. McKnight Brain Institute Miami FL USA
| | | | - Mark Lathrop
- McGill University and Génome Québec Innovation Centre Montréal QC Canada
| | - Tomas Paus
- University of Montreal Montreal QC Canada
- Univerity of Toronto Toronto ON Canada
| | - Israel Fernandez‐Cadenas
- Stroke Pharmacogenomics and Genetics group, Biomedical Research Institute Sant Pau Barcelona Spain
- Stroke Pharmacogenomics and Genetics group, Fundació per la Docència i la Recerca MutuaTerrassa Terrassa Spain
| | - Bernard Mazoyer
- Univ. Bordeaux, CNRS, CEA, Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives Bordeaux France
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine Suita Japan
| | - Hans J. Grabe
- University Medicine Greifswald Greifswald Germany
- German Center for Neurodegenerative Disease (DZNE) Rostock/ Greifswald Greifswald Germany
| | - Karen A Mather
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales (UNSW) Sydney Sydney NSW Australia
- Neuroscience Research Australia Sydney Australia
| | | | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC Rotterdam Netherlands
| | - Christophe Tzourio
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219 Bordeaux France
| | | | - Sudha Seshadri
- Boston University School of Medicine Boston MA USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases and Department of Population Health Sciences San Antonio TX USA
- The Framingham Heart Study Framingham MA USA
| | - Hieab H.H. Adams
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center Rotterdam Netherlands
| | - Stéphanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219 Bordeaux France
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7
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Le Grand Q, Satizabal CL, Sargurupremraj M, Mishra A, Soumaré A, Laurent A, Crivello F, Tsuchida A, Shin J, Macalli M, Singh B, Beiser AS, DeCarli C, Fletcher E, Paus T, Lathrop M, Adams HHH, Bis JC, Seshadri S, Tzourio C, Mazoyer B, Debette S. Genomic studies across the lifespan point to early mechanisms determining subcortical volumes. Biol Psychiatry Cogn Neurosci Neuroimaging 2021; 7:616-628. [PMID: 34700051 PMCID: PMC9395126 DOI: 10.1016/j.bpsc.2021.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 09/28/2021] [Accepted: 10/14/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Subcortical brain structures play a key role in pathological processes of age-related neurodegenerative disorders. Mounting evidence also suggests that early-life factors may have an impact on the development of common late-life neurological diseases, including genetic factors that can influence both brain maturation and neurodegeneration. METHODS Using large population-based brain imaging datasets across the lifespan (N<40,628) we aimed to: (i) estimate the heritability of subcortical volumes in young (18-35), middle (35-65), and older age (65+), and their genetic correlation across age groups; (ii) identify whether genetic loci associated with subcortical volumes in older persons also show associations in early adulthood, and explore underlying genes using transcriptome-wide association studies; (iii) explore their association with neurological phenotypes. RESULTS Heritability of subcortical volumes consistently decreased with increasing age. Genetic risk scores for smaller caudate nucleus, putamen and hippocampus volume in older adults were associated with smaller volumes in young adults. Individually, ten loci associated with subcortical volumes in older adults also showed associations in young adults. Within these loci, transcriptome-wide association studies showed that expression of several genes in brain tissues (especially MYLK2 and TUFM) was associated with subcortical volumes in both age-groups. One risk variant for smaller caudate nucleus volume (TUFM locus) was associated with lower cognitive performance. Genetically-predicted Alzheimer's disease was associated with smaller subcortical volumes in middle and older age. CONCLUSIONS Our findings provide novel insights into the genetic determinants of subcortical volumes across the lifespan. More studies are needed to decipher the underlying biology and clinical impact.
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Affiliation(s)
- Quentin Le Grand
- University of Bordeaux, INSERM, Bordeaux Population Health Center, UMR1219, Bordeaux, France
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, Texas; Department of Population Health Sciences, UT Health San Antonio, San Antonio, Texas; Framingham Heart Study, Framingham, Massachusetts; Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Muralidharan Sargurupremraj
- University of Bordeaux, INSERM, Bordeaux Population Health Center, UMR1219, Bordeaux, France; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, Texas
| | - Aniket Mishra
- University of Bordeaux, INSERM, Bordeaux Population Health Center, UMR1219, Bordeaux, France
| | - Aicha Soumaré
- University of Bordeaux, INSERM, Bordeaux Population Health Center, UMR1219, Bordeaux, France
| | - Alexandre Laurent
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France; CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France; CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France
| | - Fabrice Crivello
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France; CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France; CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France
| | - Ami Tsuchida
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France; CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France; CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France
| | - Jean Shin
- Department of Physiology, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada; Department of Nutritional Sciences, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Mélissa Macalli
- University of Bordeaux, INSERM, Bordeaux Population Health Center, UMR1219, Bordeaux, France
| | - Baljeet Singh
- Imaging of Dementia and Aging Laboratory, Department of Neurology, University of California Davis, Davis, California
| | - Alexa S Beiser
- Framingham Heart Study, Framingham, Massachusetts; Department of Neurology, Boston University School of Medicine, Boston, Massachusetts; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Charles DeCarli
- Imaging of Dementia and Aging Laboratory, Department of Neurology, University of California Davis, Davis, California
| | - Evan Fletcher
- Imaging of Dementia and Aging Laboratory, Department of Neurology, University of California Davis, Davis, California
| | - Tomas Paus
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, Centre Hospitalier Universitaire Sainte-Justine, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Mark Lathrop
- McGill Genome Center, McGill University, Montreal, Quebec, Canada
| | - Hieab H H Adams
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, Texas; Department of Population Health Sciences, UT Health San Antonio, San Antonio, Texas; Framingham Heart Study, Framingham, Massachusetts; Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Christophe Tzourio
- University of Bordeaux, INSERM, Bordeaux Population Health Center, UMR1219, Bordeaux, France; Bordeaux University Hospital, Department of Medical Informatics, Bordeaux, France
| | - Bernard Mazoyer
- University of Bordeaux, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France; CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France; CEA, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional imaging group, Bordeaux, France; Bordeaux University Hospital, Department of Neuroradiology, Bordeaux, France
| | - Stéphanie Debette
- University of Bordeaux, INSERM, Bordeaux Population Health Center, UMR1219, Bordeaux, France; Bordeaux University Hospital, Department of Neurology, Institute of Neurodegenerative Diseases, Bordeaux, France.
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8
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Nagase C, Tanno M, Kouzu H, Miki T, Nishida J, Murakami N, Kokubu N, Nagano N, Nishikawa R, Yoshioka N, Tsuchida A, Kita H, Ohnishi H, Miura T. Is GLP-1 insufficiency a coronary risk factor? A multicenter observational study, BOREAS-CAD2. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background and aim
Glucagon-like peptide-1 (GLP-1) regulates insulin secretion and also affords pleiotropic effects including protective effects on blood vessels. Multiple factors regulate GLP-1 secretion after meals, but a group of apparently healthy subjects showed blunted responses of GLP-1 secretion in our previous study. In this study, we examined the possibility that the reduced capacity of GLP-1 secretion is associated with increased extent of coronary artery stenosis in non-diabetic patients.
Methods and results
Non-diabetic patients who were admitted for coronary angiography without a history of coronary interventions were enrolled. Coronary artery stenosis was quantified by Gensini score (GS), and GS ≥10 was used as an outcome variable based on results of earlier studies indicating its predictive value for cardiovascular events. The patients (mean age, 66.5±8.8 years; 71% males, n=173) underwent oral 75 g-glucose tolerant tests for determination of glucose, insulin and active GLP-1 levels. The area under the curve of plasma active GLP-1 (AUC-GLP-1) was determined as an index of GLP-1 secretion capacity. AUC-GLP-1 was not correlated with fasting glucose, AUC-glucose, serum lipids, indices of insulin sensitivity or estimated glomerular filtration rate. In multivariate logistic regression analysis for GS ≥10, AUC-GLP-1 < median, age and hypertension were selected as explanatory variables, though fasting GLP-1 level was not selected.
Conclusion
The findings indicate significant association of reduced GLP-1 secretion capacity with increased extent of coronary artery stenosis in non-diabetic patients. A causal relationship between change in GLP-1 secretion capacity and coronary stenosis remains to be examined by a longitudinal study
Funding Acknowledgement
Type of funding sources: Private company. Main funding source(s): This study was supported in part by a research grant from Investigator-Initiated Studies Program of Merck Sharp & Dohme Corp./MSD K.K.
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Affiliation(s)
- C Nagase
- Sapporo Medical University, Sapporo, Japan
| | - M Tanno
- Sapporo Medical University, Sapporo, Japan
| | - H Kouzu
- Sapporo Medical University, Sapporo, Japan
| | - T Miki
- Sapporo Medical University, Sapporo, Japan
| | - J Nishida
- Sapporo Medical University, Sapporo, Japan
| | - N Murakami
- Sapporo Medical University, Sapporo, Japan
| | - N Kokubu
- Sapporo Medical University, Sapporo, Japan
| | - N Nagano
- Sapporo Medical University, Sapporo, Japan
| | | | - N Yoshioka
- Sapporo Circulation Hospital, Sapporo, Japan
| | | | - H Kita
- JCHO Hokushin Hospital, Sapporo, Japan
| | - H Ohnishi
- Sapporo Medical University, Sapporo, Japan
| | - T Miura
- Sapporo Medical University, Sapporo, Japan
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9
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Cremona S, Zago L, Mellet E, Petit L, Laurent A, Pepe A, Tsuchida A, Beguedou N, Joliot M, Tzourio C, Mazoyer B, Crivello F. Novel characterization of the relationship between verbal list-learning outcomes and hippocampal subfields in healthy adults. Hum Brain Mapp 2021; 42:5264-5277. [PMID: 34453474 PMCID: PMC8519870 DOI: 10.1002/hbm.25614] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/29/2021] [Accepted: 07/20/2021] [Indexed: 11/10/2022] Open
Abstract
The relationship between hippocampal subfield volumetry and verbal list‐learning test outcomes have mostly been studied in clinical and elderly populations, and remain controversial. For the first time, we characterized a relationship between verbal list‐learning test outcomes and hippocampal subfield volumetry on two large separate datasets of 447 and 1,442 healthy young and middle‐aged adults, and explored the processes that could explain this relationship. We observed a replicable positive linear correlation between verbal list‐learning test free recall scores and CA1 volume, specific to verbal list learning as demonstrated by the hippocampal subfield volumetry independence from verbal intelligence. Learning meaningless items was also positively correlated with CA1 volume, pointing to the role of the test design rather than word meaning. Accordingly, we found that association‐based mnemonics mediated the relationship between verbal list‐learning test outcomes and CA1 volume. This mediation suggests that integrating items into associative representations during verbal list‐learning tests explains CA1 volume variations: this new explanation is consistent with the associative functions of the human CA1.
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Affiliation(s)
- Sandrine Cremona
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Laure Zago
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Emmanuel Mellet
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Laurent Petit
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Alexandre Laurent
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Antonietta Pepe
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Ami Tsuchida
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Naka Beguedou
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Marc Joliot
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Christophe Tzourio
- Université de Bordeaux - Département Santé publique, INSERM, BPH U 1219, Bordeaux, France
| | - Bernard Mazoyer
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France.,Institut des maladies neurodégénératives clinique, CHU de Bordeaux, Bordeaux, France
| | - Fabrice Crivello
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
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10
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Tsuchida A, Laurent A, Crivello F, Petit L, Pepe A, Beguedou N, Debette S, Tzourio C, Mazoyer B. Age-Related Variations in Regional White Matter Volumetry and Microstructure During the Post-adolescence Period: A Cross-Sectional Study of a Cohort of 1,713 University Students. Front Syst Neurosci 2021; 15:692152. [PMID: 34413727 PMCID: PMC8369154 DOI: 10.3389/fnsys.2021.692152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/05/2021] [Indexed: 12/30/2022] Open
Abstract
Human brain white matter undergoes a protracted maturation that continues well into adulthood. Recent advances in diffusion-weighted imaging (DWI) methods allow detailed characterizations of the microstructural architecture of white matter, and they are increasingly utilized to study white matter changes during development and aging. However, relatively little is known about the late maturational changes in the microstructural architecture of white matter during post-adolescence. Here we report on regional changes in white matter volume and microstructure in young adults undergoing university-level education. As part of the MRi-Share multi-modal brain MRI database, multi-shell, high angular resolution DWI data were acquired in a unique sample of 1,713 university students aged 18-26. We assessed the age and sex dependence of diffusion metrics derived from diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) in the white matter regions as defined in the John Hopkins University (JHU) white matter labels atlas. We demonstrate that while regional white matter volume is relatively stable over the age range of our sample, the white matter microstructural properties show clear age-related variations. Globally, it is characterized by a robust increase in neurite density index (NDI), and to a lesser extent, orientation dispersion index (ODI). These changes are accompanied by a decrease in diffusivity. In contrast, there is minimal age-related variation in fractional anisotropy. There are regional variations in these microstructural changes: some tracts, most notably cingulum bundles, show a strong age-related increase in NDI coupled with decreases in radial and mean diffusivity, while others, mainly cortico-spinal projection tracts, primarily show an ODI increase and axial diffusivity decrease. These age-related variations are not different between males and females, but males show higher NDI and ODI and lower diffusivity than females across many tracts. These findings emphasize the complexity of changes in white matter structure occurring in this critical period of late maturation in early adulthood.
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Affiliation(s)
- Ami Tsuchida
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CEA, Bordeaux, France
| | - Alexandre Laurent
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CEA, Bordeaux, France
| | - Fabrice Crivello
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CEA, Bordeaux, France
| | - Laurent Petit
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CEA, Bordeaux, France
| | - Antonietta Pepe
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CEA, Bordeaux, France
| | - Naka Beguedou
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CEA, Bordeaux, France
| | - Stephanie Debette
- Université de Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.,Centre Hospitalier Universitaire, Bordeaux, France
| | - Christophe Tzourio
- Université de Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.,Centre Hospitalier Universitaire, Bordeaux, France
| | - Bernard Mazoyer
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR 5293, CEA, Bordeaux, France.,Université de Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.,Centre Hospitalier Universitaire, Bordeaux, France
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11
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Abstract
The frontal lobes have long been implicated in inhibitory control, but a full understanding of the underlying mechanisms remains elusive. The stop-signal task has been widely used to probe instructed response inhibition in cognitive neuroscience. The processes involved have been modeled and related to putative brain substrates. However, there has been surprisingly little human lesion research using this task, with the few existing studies implicating different prefrontal regions. Here, we tested the effects of focal prefrontal damage on stop-signal task performance in a large sample of people with chronic focal damage affecting the frontal lobes (n = 42) and demographically matched healthy individuals (n = 60). Patients with damage to the left lateral, right lateral, dorsomedial, or ventromedial frontal lobe had slower stop-signal RT compared to healthy controls. There were systematic differences in the patterns of impairment across frontal subgroups: Those with damage to the left or right lateral and dorsomedial frontal lobes, but not those with ventromedial frontal damage, were slower than controls to "go" as well as to stop. These findings suggest that multiple prefrontal regions make necessary but distinct contributions to stop-signal task performance. As a consequence, stop-signal RT slowing is not strongly localizing within the frontal lobes.
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Affiliation(s)
- Michael K Yeung
- McGill University, Montreal, Quebec, Canada.,The Hong Kong Polytechnic University
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12
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Tsuchida A, Laurent A, Crivello F, Petit L, Joliot M, Pepe A, Beguedou N, Gueye MF, Verrecchia V, Nozais V, Zago L, Mellet E, Debette S, Tzourio C, Mazoyer B. The MRi-Share database: brain imaging in a cross-sectional cohort of 1870 university students. Brain Struct Funct 2021; 226:2057-2085. [PMID: 34283296 DOI: 10.1007/s00429-021-02334-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 06/11/2021] [Indexed: 01/04/2023]
Abstract
We report on MRi-Share, a multi-modal brain MRI database acquired in a unique sample of 1870 young healthy adults, aged 18-35 years, while undergoing university-level education. MRi-Share contains structural (T1 and FLAIR), diffusion (multispectral), susceptibility-weighted (SWI), and resting-state functional imaging modalities. Here, we described the contents of these different neuroimaging datasets and the processing pipelines used to derive brain phenotypes, as well as how quality control was assessed. In addition, we present preliminary results on associations of some of these brain image-derived phenotypes at the whole brain level with both age and sex, in the subsample of 1722 individuals aged less than 26 years. We demonstrate that the post-adolescence period is characterized by changes in both structural and microstructural brain phenotypes. Grey matter cortical thickness, surface area and volume were found to decrease with age, while white matter volume shows increase. Diffusivity, either radial or axial, was found to robustly decrease with age whereas fractional anisotropy only slightly increased. As for the neurite orientation dispersion and densities, both were found to increase with age. The isotropic volume fraction also showed a slight increase with age. These preliminary findings emphasize the complexity of changes in brain structure and function occurring in this critical period at the interface of late maturation and early ageing.
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Affiliation(s)
- Ami Tsuchida
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Alexandre Laurent
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Fabrice Crivello
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Laurent Petit
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Marc Joliot
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France.,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France
| | - Antonietta Pepe
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Naka Beguedou
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Marie-Fateye Gueye
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France.,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France
| | - Violaine Verrecchia
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France.,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France
| | - Victor Nozais
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France.,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France
| | - Laure Zago
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Emmanuel Mellet
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Stéphanie Debette
- Université de Bordeaux, INSERM, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.,Centre Hospitalier Universitaire Pellegrin, Bordeaux, France
| | - Christophe Tzourio
- Université de Bordeaux, INSERM, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.,Centre Hospitalier Universitaire Pellegrin, Bordeaux, France
| | - Bernard Mazoyer
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France. .,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France. .,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France. .,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France. .,Centre Hospitalier Universitaire Pellegrin, Bordeaux, France.
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13
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Boutinaud P, Tsuchida A, Laurent A, Adonias F, Hanifehlou Z, Nozais V, Verrecchia V, Lampe L, Zhang J, Zhu YC, Tzourio C, Mazoyer B, Joliot M. 3D Segmentation of Perivascular Spaces on T1-Weighted 3 Tesla MR Images With a Convolutional Autoencoder and a U-Shaped Neural Network. Front Neuroinform 2021; 15:641600. [PMID: 34262443 PMCID: PMC8273917 DOI: 10.3389/fninf.2021.641600] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 05/24/2021] [Indexed: 11/13/2022] Open
Abstract
We implemented a deep learning (DL) algorithm for the 3-dimensional segmentation of perivascular spaces (PVSs) in deep white matter (DWM) and basal ganglia (BG). This algorithm is based on an autoencoder and a U-shaped network (U-net), and was trained and tested using T1-weighted magnetic resonance imaging (MRI) data from a large database of 1,832 healthy young adults. An important feature of this approach is the ability to learn from relatively sparse data, which gives the present algorithm a major advantage over other DL algorithms. Here, we trained the algorithm with 40 T1-weighted MRI datasets in which all "visible" PVSs were manually annotated by an experienced operator. After learning, performance was assessed using another set of 10 MRI scans from the same database in which PVSs were also traced by the same operator and were checked by consensus with another experienced operator. The Sorensen-Dice coefficients for PVS voxel detection in DWM (resp. BG) were 0.51 (resp. 0.66), and 0.64 (resp. 0.71) for PVS cluster detection (volume threshold of 0.5 within a range of 0 to 1). Dice values above 0.90 could be reached for detecting PVSs larger than 10 mm3 and 0.95 for PVSs larger than 15 mm3. We then applied the trained algorithm to the rest of the database (1,782 individuals). The individual PVS load provided by the algorithm showed a high agreement with a semi-quantitative visual rating done by an independent expert rater, both for DWM and for BG. Finally, we applied the trained algorithm to an age-matched sample from another MRI database acquired using a different scanner. We obtained a very similar distribution of PVS load, demonstrating the interoperability of this algorithm.
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Affiliation(s)
| | - Ami Tsuchida
- UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
- UMR 5293, GIN, IMN, CNRS, Bordeaux, France
- UMR 5293, GIN, IMN, CEA, Bordeaux, France
| | - Alexandre Laurent
- UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
- UMR 5293, GIN, IMN, CNRS, Bordeaux, France
- UMR 5293, GIN, IMN, CEA, Bordeaux, France
| | - Filipa Adonias
- UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
- UMR 5293, GIN, IMN, CNRS, Bordeaux, France
- UMR 5293, GIN, IMN, CEA, Bordeaux, France
| | - Zahra Hanifehlou
- Genesislab, Bordeaux, France
- Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran
| | - Victor Nozais
- Genesislab, Bordeaux, France
- UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
- UMR 5293, GIN, IMN, CNRS, Bordeaux, France
- UMR 5293, GIN, IMN, CEA, Bordeaux, France
| | - Violaine Verrecchia
- Genesislab, Bordeaux, France
- UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
- UMR 5293, GIN, IMN, CNRS, Bordeaux, France
- UMR 5293, GIN, IMN, CEA, Bordeaux, France
| | - Leonie Lampe
- Integrative Model-based Cognitive Neuroscience Research Unit Universiteit van Amsterdam, Amsterdam, Netherlands & Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany
| | - Junyi Zhang
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Christophe Tzourio
- U1219, INSERM, Bordeaux Population Health, University Bordeaux, Bordeaux, France
- Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France
| | - Bernard Mazoyer
- Genesislab, Bordeaux, France
- UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
- UMR 5293, GIN, IMN, CNRS, Bordeaux, France
- UMR 5293, GIN, IMN, CEA, Bordeaux, France
- Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France
| | - Marc Joliot
- Genesislab, Bordeaux, France
- UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
- UMR 5293, GIN, IMN, CNRS, Bordeaux, France
- UMR 5293, GIN, IMN, CEA, Bordeaux, France
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14
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Soumaré A, Beguedou N, Laurent A, Brochet B, Bordes C, Mournet S, Mellet E, Pereira E, Pollet C, Lachaize M, Mougin M, Tsuchida A, Loiseau H, Tourdias T, Tzourio C, Mazoyer B, Debette S. Prevalence, Severity, and Clinical Management of Brain Incidental Findings in Healthy Young Adults: MRi-Share Cross-Sectional Study. Front Neurol 2021; 12:675244. [PMID: 34093421 PMCID: PMC8173138 DOI: 10.3389/fneur.2021.675244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 04/19/2021] [Indexed: 01/17/2023] Open
Abstract
Background and Objectives: Young adults represent an increasingly large proportion of healthy volunteers in brain imaging research, but descriptions of incidental findings (IFs) in this age group are scarce. We aimed to assess the prevalence and severity of IFs on brain MRIs of healthy young research participants aged 18-35 years, and to describe the protocol implemented to handle them. Methods: The study population comprised 1,867 participants aged 22.1 ± 2.3 years (72% women) from MRi-Share, the cross-sectional brain MRI substudy of the i-Share student cohort. IFs were flagged during the MRI quality control. We estimated the proportion of participants with IFs [any, requiring medical referral, potentially serious (PSIFs) as defined in the UK biobank]: overall, by type and severity of the final diagnosis, as well as the number of IFs. Results: 78/1,867 participants had at least one IF [4.2%, 95% Confidence Interval (CI) 3.4-5.2%]. IFs requiring medical referral (n = 38) were observed in 36/1,867 participants (1.9%, 1.4-2.7%), and represented 47.5% of the 80 IFs initially flagged. Referred IFs were retrospectively classified as PSIFs in 25/1,867 participants (1.3%, 0.9-2.0%), accounting for 68.4% of anomalies referred (26/38). The most common final diagnosis was cysts or ventricular abnormalities in all participants (9/1,867; 0.5%, 0.2-0.9%) and in those with referred IFs (9/36; 25.0%, 13.6-41.3%), while it was multiple sclerosis or radiologically isolated syndrome in participants with PSIFs (5/19; 26.3%, 11.5-49.1%) who represented 0.1% (0.0-0.4%) and 0.2% (0.03-0.5%) of all participants, respectively. Final diagnoses were considered serious in 11/1,867 participants (0.6%, 0.3-1.1%). Among participants with referred IFs, 13.9% (5/36) required active intervention, while 50.0% (18/36) were put on clinical surveillance. Conclusions: In a large brain imaging study of young healthy adults participating in research we observed a non-negligible frequency of IFs. The etiological pattern differed from what has been described in older adults.
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Affiliation(s)
- Aïcha Soumaré
- UMR1219 Bordeaux Population Health Center (Team VINTAGE), INSERM-University of Bordeaux, Bordeaux, France
| | - Naka Beguedou
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, University of Bordeaux, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CNRS, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CEA, Bordeaux, France
| | - Alexandre Laurent
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, University of Bordeaux, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CNRS, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CEA, Bordeaux, France
| | - Bruno Brochet
- Department of Neurology, University Hospital Centre Bordeaux Pellegrin Hospital Group, Bordeaux, France
| | - Constance Bordes
- UMR1219 Bordeaux Population Health Center (Team VINTAGE), INSERM-University of Bordeaux, Bordeaux, France
| | - Sandy Mournet
- UMR1219 Bordeaux Population Health Center (Team VINTAGE), INSERM-University of Bordeaux, Bordeaux, France
| | - Emmanuel Mellet
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, University of Bordeaux, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CNRS, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CEA, Bordeaux, France
| | - Edwige Pereira
- UMR1219 Bordeaux Population Health Center (Team HEALTHY), INSERM-University of Bordeaux, Bordeaux, France
| | - Clothilde Pollet
- UMR1219 Bordeaux Population Health Center (Team HEALTHY), INSERM-University of Bordeaux, Bordeaux, France
| | - Morgane Lachaize
- UMR1219 Bordeaux Population Health Center (Team VINTAGE), INSERM-University of Bordeaux, Bordeaux, France
| | - Marie Mougin
- UMR1219 Bordeaux Population Health Center (Team HEALTHY), INSERM-University of Bordeaux, Bordeaux, France
| | - Ami Tsuchida
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, University of Bordeaux, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CNRS, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CEA, Bordeaux, France
| | - Hugues Loiseau
- Department of Neurosurgery, University Hospital Centre Bordeaux Pellegrin Hospital Group, Bordeaux, France
| | - Thomas Tourdias
- Department of Diagnostic and Therapeutic Radiology and Neuroimaging, University Hospital Centre Bordeaux Pellegrin Hospital Group, Bordeaux, France
- Magendie Neurocenter INSERM-U1215, University of Bordeaux, Bordeaux, France
| | - Christophe Tzourio
- UMR1219 Bordeaux Population Health Center (Team HEALTHY), INSERM-University of Bordeaux, Bordeaux, France
- Department of Medical Information, University Hospital Centre Bordeaux Pellegrin Hospital Group, Bordeaux, France
| | - Bernard Mazoyer
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, University of Bordeaux, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CNRS, Bordeaux, France
- Neurofunctional Imaging Group, Institute of Neurodegenerative Disease-UMR5293, CEA, Bordeaux, France
- Department of Diagnostic and Therapeutic Radiology and Neuroimaging, University Hospital Centre Bordeaux Pellegrin Hospital Group, Bordeaux, France
| | - Stéphanie Debette
- UMR1219 Bordeaux Population Health Center (Team VINTAGE), INSERM-University of Bordeaux, Bordeaux, France
- Department of Neurology, University Hospital Centre Bordeaux Pellegrin Hospital Group, Bordeaux, France
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15
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Sargurupremraj M, Suzuki H, Jian X, Sarnowski C, Evans TE, Bis JC, Eiriksdottir G, Sakaue S, Terzikhan N, Habes M, Zhao W, Armstrong NJ, Hofer E, Yanek LR, Hagenaars SP, Kumar RB, van den Akker EB, McWhirter RE, Trompet S, Mishra A, Saba Y, Satizabal CL, Beaudet G, Petit L, Tsuchida A, Zago L, Schilling S, Sigurdsson S, Gottesman RF, Lewis CE, Aggarwal NT, Lopez OL, Smith JA, Valdés Hernández MC, van der Grond J, Wright MJ, Knol MJ, Dörr M, Thomson RJ, Bordes C, Le Grand Q, Duperron MG, Smith AV, Knopman DS, Schreiner PJ, Evans DA, Rotter JI, Beiser AS, Maniega SM, Beekman M, Trollor J, Stott DJ, Vernooij MW, Wittfeld K, Niessen WJ, Soumaré A, Boerwinkle E, Sidney S, Turner ST, Davies G, Thalamuthu A, Völker U, van Buchem MA, Bryan RN, Dupuis J, Bastin ME, Ames D, Teumer A, Amouyel P, Kwok JB, Bülow R, Deary IJ, Schofield PR, Brodaty H, Jiang J, Tabara Y, Setoh K, Miyamoto S, Yoshida K, Nagata M, Kamatani Y, Matsuda F, Psaty BM, Bennett DA, De Jager PL, Mosley TH, Sachdev PS, Schmidt R, Warren HR, Evangelou E, Trégouët DA, Ikram MA, Wen W, DeCarli C, Srikanth VK, Jukema JW, Slagboom EP, Kardia SLR, Okada Y, Mazoyer B, Wardlaw JM, Nyquist PA, Mather KA, Grabe HJ, Schmidt H, Van Duijn CM, Gudnason V, Longstreth WT, Launer LJ, Lathrop M, Seshadri S, Tzourio C, Adams HH, Matthews PM, Fornage M, Debette S. Cerebral small vessel disease genomics and its implications across the lifespan. Nat Commun 2020; 11:6285. [PMID: 33293549 PMCID: PMC7722866 DOI: 10.1038/s41467-020-19111-2] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 09/10/2020] [Indexed: 12/14/2022] Open
Abstract
White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5×10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.
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Affiliation(s)
- Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Hideaki Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo, Aoba, Sendai, 980-8573, Japan
- Department of Cardiovascular Medicine, Tohoku University Hospital, 1-1, Seiryo, Aoba, Sendai, 980-8574, Japan
- Department of Brain Sciences, Imperial College London, London, W12 0NN, UK
| | - Xueqiu Jian
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, 77030, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Tavia E Evans
- Department of Clinical Genetics, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | | | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- Department of Allergy and Rheumatology, Graduate School of Medicine, the University of Tokyo, Tokyo, 113-0033, Japan
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Mohamad Habes
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Nicola J Armstrong
- Mathematics and Statistics, Murdoch University, Murdoch, WA, 6150, Australia
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, 8036, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
| | - Lisa R Yanek
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Saskia P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Social Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Rajan B Kumar
- Department of Public Health Sciences, University of California at Davis, Davis, CA, 95616, USA
| | - Erik B van den Akker
- Section of Molecular Epidemiology, Biomedical Sciences, Leiden university Medical Center, 2333 ZA, Leiden, The Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, NL, 2629 HS, USA
- Leiden Computational Biology Centre, Leiden University Medical Centre, 2333 ZA, Leiden, The Netherlands
| | - Rebekah E McWhirter
- Centre for Law and Genetics, Faculty of Law, University of Tasmania, Hobart, TAS, 7005, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
| | - Stella Trompet
- Department of Internal Medicine, section of gerontology and geriatrics, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Yasaman Saba
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
- Gottfried Schatz Research Center, Department of Molecular Biology and Biochemistry, Medical University of Graz, 8010, Graz, Austria
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, 02215, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Gregory Beaudet
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Laurent Petit
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Ami Tsuchida
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Laure Zago
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Sabrina Schilling
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | | | | | - Cora E Lewis
- University of Alabama at Birmingham School of Medicine, Birmingham, AL, 35233, USA
| | - Neelum T Aggarwal
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Oscar L Lopez
- Departments of Neurology and Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Maria C Valdés Hernández
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Row Fogo Centre for Ageing and The Brain, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Jeroen van der Grond
- Department of Radiology, Leiden University medical Center, 2333 ZA, Leiden, The Netherlands
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
- Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, 17475, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, 17475, Greifswald, Germany
| | - Russell J Thomson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
- Centre for Research in Mathematics and Data Science, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Constance Bordes
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Quentin Le Grand
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Marie-Gabrielle Duperron
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | | | | | - Pamela J Schreiner
- University of Minnesota School of Public Health, Minneapolis, MN, 55455, USA
| | - Denis A Evans
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, 02215, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Susana Muñoz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Marian Beekman
- Section of Molecular Epidemiology, Biomedical Sciences, Leiden university Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Julian Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Meike W Vernooij
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, 17489, Greifswald, Germany
| | - Wiro J Niessen
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, NL, 2629 HS, USA
| | - Aicha Soumaré
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Eric Boerwinkle
- University of Texas Health Science Center at Houston School of Public Health, Houston, TX, 77030, USA
| | - Stephen Sidney
- Kaiser Permanente Division of Research, Oakland, CA, 94612, USA
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, 55905, USA
| | - Gail Davies
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Anbupalam Thalamuthu
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Mark A van Buchem
- Row Fogo Centre for Ageing and The Brain, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - R Nick Bryan
- The University of Texas at Austin Dell Medical School, Austin, TX, 78712, USA
| | - Josée Dupuis
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Department of Cardiology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Mark E Bastin
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - David Ames
- National Ageing Research Institute Royal Melbourne Hospital, Parkville, VIC, 3052, Australia
- Academic Unit for Psychiatry of Old Age, University of Melbourne, St George's Hospital, Kew, VIC, 3101, Australia
| | - Alexander Teumer
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Internal Medicine B, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Philippe Amouyel
- Inserm U1167, 59000, Lille, France
- Department of Epidemiology and Public Health, Pasteur Institute of Lille, 59000, Lille, France
| | - John B Kwok
- Brain and Mind Centre - The University of Sydney, Camperdown, NSW, 2050, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Robin Bülow
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17489, Greifswald, Germany
| | - Ian J Deary
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Peter R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Neuroscience Research Australia, Randwick, NSW, 2031, Australia
| | - Henry Brodaty
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Dementia Centre for Research Collaboration, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Jiyang Jiang
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Kazuya Setoh
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Manabu Nagata
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Bruce M Psaty
- Departments of Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, 98195, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
- Program in Population and Medical Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Thomas H Mosley
- Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Perminder S Sachdev
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, 2031, Australia
| | - Reinhold Schmidt
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Helen R Warren
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 4NS, UK
- National Institute for Health Research Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, SW7 2AZ, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Mpizani, 455 00, Greece
| | - David-Alexandre Trégouët
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Mohammad A Ikram
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, 95817, USA
| | - Velandai K Srikanth
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Eline P Slagboom
- Section of Molecular Epidemiology, Biomedical Sciences, Leiden university Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, 565-0871, Osaka, Japan
| | - Bernard Mazoyer
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Row Fogo Centre for Ageing and The Brain, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- MRC UK Dementia Research Institute at the University of Edinburgh, Edinburgh, EH8 9YL, UK
| | - Paul A Nyquist
- Department of Neurology, Johns Hopkins School of Medicine, Baltimone, MD, 21205, USA
- General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
- Neuroscience Research Australia, Randwick, NSW, 2031, Australia
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, 17475, Greifswald, Germany
| | - Helena Schmidt
- Gottfried Schatz Research Center, Department of Molecular Biology and Biochemistry, Medical University of Graz, 8010, Graz, Austria
| | - Cornelia M Van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Vilmundur Gudnason
- Icelandic Heart Association, IS-201, Kópavogur, Iceland
- University of Iceland, Faculty of Medicine, 101, Reykjavík, Iceland
| | - William T Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, 98104-2420, USA
| | - Lenore J Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Aging, The National Institutes of Health, Bethesda, MD, 20892, USA
- Intramural Research Program/National Institute on Aging/National Institutes of Health, Bethesda, MD, 20892, USA
| | - Mark Lathrop
- University of McGill Genome Center, Montreal, QC, H3A 0G1, Canada
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, 02215, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Christophe Tzourio
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
- CHU de Bordeaux, Pole de santé publique, Service d'information médicale, 33000, Bordeaux, France
| | - Hieab H Adams
- Department of Clinical Genetics, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Paul M Matthews
- Department of Brain Sciences, Imperial College London, London, W12 0NN, UK
- UK Dementia Research Institute, London, WC1E 6BT, UK
- Data Science Institute, Imperial College London, London, SW7 2AZ, UK
| | - Myriam Fornage
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, 77030, USA.
| | - Stéphanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France.
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA.
- Department of Neurology, CHU de Bordeaux, 33000, Bordeaux, France.
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16
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Tsukamoto S, Fujita S, Ota M, Mizusawa J, Shida D, Kanemitsu Y, Ito M, Shiomi A, Komori K, Ohue M, Akazai Y, Shiozawa M, Yamaguchi T, Bando H, Tsuchida A, Okamura S, Akagi Y, Takiguchi N, Saida Y, Akasu T, Moriya Y. Long-term follow-up of the randomized trial of mesorectal excision with or without lateral lymph node dissection in rectal cancer (JCOG0212). Br J Surg 2020; 107:586-594. [PMID: 32162301 DOI: 10.1002/bjs.11513] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 11/29/2019] [Accepted: 12/18/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Japan Clinical Oncology Group (JCOG) 0212 (ClinicalTrials.gov NCT00190541) was a non-inferiority phase III trial of patients with clinical stage II-III rectal cancer without lateral pelvic lymph node enlargement. The trial compared mesorectal excision (ME) with ME and lateral lymph node dissection (LLND), with a primary endpoint of recurrence-free survival (RFS). The planned primary analysis at 5 years failed to confirm the non-inferiority of ME alone compared with ME and LLND. The present study aimed to compare ME alone and ME with LLND using long-term follow-up data from JCOG0212. METHODS Patients with clinical stage II-III rectal cancer below the peritoneal reflection and no lateral pelvic lymph node enlargement were included in this study. After surgeons confirmed R0 resection by ME, patients were randomized to receive ME alone or ME with LLND. The primary endpoint was RFS. RESULTS A total of 701 patients from 33 institutions were assigned to ME with LLND (351) or ME alone (350) between June 2003 and August 2010. The 7-year RFS rate was 71.1 per cent for ME with LLND and 70·7 per cent for ME alone (hazard ratio (HR) 1·09, 95 per cent c.i. 0·84 to 1·42; non-inferiority P = 0·064). Subgroup analysis showed improved RFS among patients with clinical stage III disease who underwent ME with LLND compared with ME alone (HR 1·49, 1·02 to 2·17). CONCLUSION Long-term follow-up data did not support the non-inferiority of ME alone compared with ME and LLND. ME with LLND is recommended for patients with clinical stage III disease, whereas LLND could be omitted in those with clinical stage II tumours.
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Affiliation(s)
- S Tsukamoto
- Department of Colorectal Surgery, Tokyo Medical University Hospital, Tokyo, Japan
| | - S Fujita
- Department of Surgery, Tochigi Cancer Centre, Tochigi, Japan
| | - M Ota
- Department of Surgery, Yokohama City University Medical Centre, Kanagawa, Japan
| | - J Mizusawa
- Japan Clinical Oncology Group Data Centre and Operations Office, National Cancer Centre Hospital, Tokyo Medical University Hospital, Tokyo, Japan
| | - D Shida
- Department of Colorectal Surgery, Tokyo Medical University Hospital, Tokyo, Japan
| | - Y Kanemitsu
- Department of Colorectal Surgery, Tokyo Medical University Hospital, Tokyo, Japan
| | - M Ito
- Colorectal Surgery Division, National Cancer Centre Hospital East, Chiba, Japan
| | - A Shiomi
- Division of Colon and Rectal Surgery, Shizuoka Cancer Centre Hospital, Shizuoka, Japan
| | - K Komori
- Department of Surgery, Aichi Cancer Centre Hospital, Aichi, Japan
| | - M Ohue
- Department of Gastroenterological Surgery, Suita Municipal Hospital, Osaka International Cancer Institute, Japan
| | - Y Akazai
- Department of Surgery, Okayama Saiseikai General Hospital, Okayama, Japan
| | - M Shiozawa
- Department of Surgery, Kanagawa Cancer Centre, Kanagawa, Japan
| | - T Yamaguchi
- Department of Surgery, Kyoto Medical Centre, Kyoto, Japan
| | - H Bando
- Department of Surgery, Ishikawa Prefectural Central Hospital, Ishikawa, Japan
| | - A Tsuchida
- Department of Surgery, Tokyo Medical University Hospital, Tokyo, Japan
| | - S Okamura
- Department of Surgery, Suita Municipal Hospital, Osaka, Japan
| | - Y Akagi
- Department of Surgery, Kurume University, Fukuoka, Japan
| | - N Takiguchi
- Department of Gastrointestinal Surgery, Chiba Cancer Centre, Chiba, Japan
| | - Y Saida
- Department of Surgery, Toho University Ohashi Medical Centre, Tokyo, Japan
| | - T Akasu
- Hospital of the Imperial Household, Tokyo, Japan
| | - Y Moriya
- Department of Surgery, Miki Hospital, Iwate, Japan
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17
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Beaudet G, Tsuchida A, Petit L, Tzourio C, Caspers S, Schreiber J, Pausova Z, Patel Y, Paus T, Schmidt R, Pirpamer L, Sachdev PS, Brodaty H, Kochan N, Trollor J, Wen W, Armstrong NJ, Deary IJ, Bastin ME, Wardlaw JM, Munõz Maniega S, Witte AV, Villringer A, Duering M, Debette S, Mazoyer B. Age-Related Changes of Peak Width Skeletonized Mean Diffusivity (PSMD) Across the Adult Lifespan: A Multi-Cohort Study. Front Psychiatry 2020; 11:342. [PMID: 32425831 PMCID: PMC7212692 DOI: 10.3389/fpsyt.2020.00342] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/06/2020] [Indexed: 12/20/2022] Open
Abstract
Parameters of water diffusion in white matter derived from diffusion-weighted imaging (DWI), such as fractional anisotropy (FA), mean, axial, and radial diffusivity (MD, AD, and RD), and more recently, peak width of skeletonized mean diffusivity (PSMD), have been proposed as potential markers of normal and pathological brain ageing. However, their relative evolution over the entire adult lifespan in healthy individuals remains partly unknown during early and late adulthood, and particularly for the PSMD index. Here, we gathered and analyzed cross-sectional diffusion tensor imaging (DTI) data from 10 population-based cohort studies in order to establish the time course of white matter water diffusion phenotypes from post-adolescence to late adulthood. DTI data were obtained from a total of 20,005 individuals aged 18.1 to 92.6 years and analyzed with the same pipeline for computing skeletonized DTI metrics from DTI maps. For each individual, MD, AD, RD, and FA mean values were computed over their FA volume skeleton, PSMD being calculated as the 90% peak width of the MD values distribution across the FA skeleton. Mean values of each DTI metric were found to strongly vary across cohorts, most likely due to major differences in DWI acquisition protocols as well as pre-processing and DTI model fitting. However, age effects on each DTI metric were found to be highly consistent across cohorts. RD, MD, and AD variations with age exhibited the same U-shape pattern, first slowly decreasing during post-adolescence until the age of 30, 40, and 50 years, respectively, then progressively increasing until late life. FA showed a reverse profile, initially increasing then continuously decreasing, slowly until the 70s, then sharply declining thereafter. By contrast, PSMD constantly increased, first slowly until the 60s, then more sharply. These results demonstrate that, in the general population, age affects PSMD in a manner different from that of other DTI metrics. The constant increase in PSMD throughout the entire adult life, including during post-adolescence, indicates that PSMD could be an early marker of the ageing process.
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Affiliation(s)
- Grégory Beaudet
- Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.,Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
| | - Ami Tsuchida
- Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.,Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
| | - Laurent Petit
- Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.,Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
| | | | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany.,Institute for Anatomy I, Medical Faculty, Heinrich Heine University Dusseldorf, Dusseldorf, Germany
| | - Jan Schreiber
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany
| | - Zdenka Pausova
- Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Yash Patel
- Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.,Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Lukas Pirpamer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia
| | | | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Susana Munõz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - A Veronica Witte
- Departmet of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Arno Villringer
- Departmet of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Stéphanie Debette
- Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France.,Bordeaux Population Health Research Center, Inserm, Bordeaux, France.,Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - Bernard Mazoyer
- Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.,Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France
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18
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Kuwabara H, Iwabuthi A, Soya R, Enomoto M, Ishizaki T, Tsuchida A, Nagakawa Y, Katsumata K, Sugimoto M. Salivary metabolomics for colorectal cancer detection. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz239.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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19
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Sato T, Miki T, Ohnishi H, Yamashita T, Takada A, Yano T, Tanno M, Tsuchida A, Miura T. Effect of sodium-glucose co-transporter-2 inhibitors on impaired ventricular repolarization in people with Type 2 diabetes. Diabet Med 2017; 34:1367-1371. [PMID: 28703863 DOI: 10.1111/dme.13424] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/10/2017] [Indexed: 02/06/2023]
Abstract
AIMS To test the hypothesis that treatment with a sodium-glucose co-transporter-2 inhibitor would reverse ventricular repolarization heterogeneity, a predictor of cardiovascular mortality, in people with Type 2 diabetes. METHODS We retrospectively analysed changes in indices of ventricular repolarization before and after treatment with a sodium-glucose co-transporter-2 inhibitor in 46 people with Type 2 diabetes. RESULTS Sodium-glucose co-transporter-2 inhibitor treatment reduced HbA1c concentration [62±13 mmol/mol (7.7±1.2%) vs 59±16 mmol/mol (7.5±1.4%)], body weight (77.8±13.9 vs 74.7±12.5 kg) and systolic blood pressure (133±18 vs 126±12 mmHg) in the study participants. Heart rate and QTc interval were not changed by sodium-glucose co-transporter-2 inhibitor treatment, but QTc dispersion was significantly reduced (median, 48.8 vs 44.2 ms). Sodium-glucose co-transporter-2 inhibitor treatment reversed QTc dispersion more in participants who had larger QTc dispersion before the treatment. Changes in systolic blood pressure (Spearman's ρ= 0.319; P=0.031), but not in HbA1c concentration, were correlated with changes in QTc dispersion after sodium-glucose co-transporter-2 inhibitor treatment. CONCLUSIONS The findings suggest that sodium-glucose co-transporter-2 inhibitor treatment reverses ventricular repolarization heterogeneity in people with Type 2 diabetes, independently of its effect on glycaemic control. The favourable effect on ventricular repolarization heterogeneity could be the mechanism by which empaglifozin reduced cardiovascular events in a recent study.
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Affiliation(s)
- T Sato
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo, Japan
| | - T Miki
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo, Japan
| | - H Ohnishi
- Department of Public Health, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - T Yamashita
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo, Japan
| | - A Takada
- Department of Cardiology, Steel Memorial Muroran Hospital, Muroran, Japan
| | - T Yano
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo, Japan
| | - M Tanno
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo, Japan
| | - A Tsuchida
- Department of Cardiology, JR Sapporo Hospital, Sapporo, Japan
| | - T Miura
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo, Japan
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20
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Abstract
Pancreatitis is a relatively rare complication in systemic lupus erythematosus (SLE). Here we present a case of SLE associated with autoimmune pancreatitis. A 37-year old woman was admitted to our hospital because of fever, skin rash, proteinuria and abdominal pain. A diagnosis of SLE was made based on her clinical, laboratory and renal histological findings showing diffuse proliferative lupus nephritis. Elevated serum amylase, typical radiographic findings and selective increase in serum IgG4 all suggested that the patient also had autoimmune pancreatitis. Systemic administration of glucocorticoid successfully induced remission of pancreatitis and nephritis along with the reduction of IgG4. Autoimmune pancreatitis is a newly recognized type of pancreatitis, in which IgG4 immune response is thought to participate pathophysiologically. Although the disease has been observed to develop in patients having various connective tissue diseases, our report is the first to describe IgG4 related autoimmune pancreatitis in a patient with SLE.
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Affiliation(s)
- S Kobayashi
- Division of Nephrology and Hematology, Toho Hospital, Gunma, Japan
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21
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Yoshida Y, Yamazaki K, Mizusawa J, Satoh M, Hinoi T, Tsuchida A, Otsuka K, Sato T, Watanabe M, Baba H, Kimura H, Idani H, Kanazawa A, Fukunaga M, Okuda J, Tajima Y, Hasegawa H, Katayama H, Hamaguchi T, Shimada Y. 2129 Predictive factor for toxicities and treatment termination in adjuvant capecitabine therapy for stage III colorectal cancer; based on the data of a randomized trial, JCOG0910. Eur J Cancer 2015. [DOI: 10.1016/s0959-8049(16)31051-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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22
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Honda K, Kobayashi M, Okusaka T, Nakamori S, Shimahara M, Ueno T, Tsuchida A, Sata N, Ioka T, Yasunami Y, Masaru Y, Kosuge T, Jung G, Yamada T. 409 Plasma biomarker for detection of early stage pancreatic cancer and risk factors for pancreatic malignancy using antibodies against apolipoprotein-AII isoforms. Eur J Cancer 2015. [DOI: 10.1016/s0959-8049(16)30243-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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23
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Goto T, Nakayama R, Yamanaka M, Takata M, Takazawa T, Watanabe K, Maruta K, Nagata R, Nagamine J, Tsuchida A, Kato H. Effects of DSP-8658, a Novel Selective Peroxisome Proliferator-activated Receptors a/γ Modulator, on Adipogenesis and Glucose Metabolism in Diabetic Obese Mice. Exp Clin Endocrinol Diabetes 2015; 123:492-9. [DOI: 10.1055/s-0035-1549965] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- T. Goto
- Drug Research Division, Sumitomo Dainippon Pharma Co., Ltd. Osaka, Japan
| | - R. Nakayama
- Drug Research Division, Sumitomo Dainippon Pharma Co., Ltd. Osaka, Japan
| | - M. Yamanaka
- Drug Research Division, Sumitomo Dainippon Pharma Co., Ltd. Osaka, Japan
| | - M. Takata
- Drug Research Division, Sumitomo Dainippon Pharma Co., Ltd. Osaka, Japan
| | - T. Takazawa
- Personnel, Sumitomo Dainippon Pharma Co., Ltd. Osaka, Japan
| | - K. Watanabe
- Drug Research Division, Sumitomo Dainippon Pharma Co., Ltd. Osaka, Japan
| | - K. Maruta
- Drug Development Division, Sumitomo Dainippon Pharma Co., Ltd. Tokyo, Japan
| | - R. Nagata
- Center for Drug Discovery and Development National Institute of Biomedical Innovation, Osaka, Japan
| | - J. Nagamine
- Drug Research Division, Sumitomo Dainippon Pharma Co., Ltd. Osaka, Japan
| | - A. Tsuchida
- Global Strategy & Business Development, Sumitomo Dainippon Pharma Co., Ltd. Tokyo, Japan
| | - H. Kato
- Center for Drug Discovery and Development National Institute of Biomedical Innovation, Osaka, Japan
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Geddes MR, Tsuchida A, Ashley V, Swick D, Fellows LK. Material-specific interference control is dissociable and lateralized in human prefrontal cortex. Neuropsychologia 2014; 64:310-9. [DOI: 10.1016/j.neuropsychologia.2014.09.024] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2014] [Revised: 09/04/2014] [Accepted: 09/09/2014] [Indexed: 12/30/2022]
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Tsuchida A, Fellows LK. Are core component processes of executive function dissociable within the frontal lobes? Evidence from humans with focal prefrontal damage. Cortex 2013. [DOI: 10.1016/j.cortex.2012.10.014] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Borras M, Roig J, Betriu A, Vilar A, Hernandez M, Martin M, Fernandez ED, Dounousi E, Kiatou V, Papagianni A, Zikou X, Pappas K, Pappas E, Tatsioni A, Tsakiris D, Siamopoulos KC, Kim JK, Kim Y, Kim SG, Kim HJ, Ahn SY, Chin HJ, Oh KH, Ahn C, Chae DW, Yazici R, Altintepe L, Bakdik S, Guney I, Arslan S, Topal M, Karagoz A, Stefan G, Mircescu G, Capusa C, Stancu S, Petrescu L, Alecu S, Nedelcu D, Bennett AHL, Pham H, Garrity M, Magdeleyns E, Vermeer C, Zhang M, Ni Z, Zhu M, Yan J, Mou S, Wang Q, Qian J, Saade A, Karavetian M, ElZein H, de Vries N, de Haseth DE, Lay Penne E, van Dam B, Bax WA, Bots ML, Grooteman MPC, van den Dorpel RA, Blankenstijn PJ, Nube MJ, Wee PM, Park JH, Jo YI, Lee JH, Cianfrone P, Comi N, Lucisano G, Piraina V, Talarico R, Fuiano G, Toyonaga M, Fukami K, Yamagishi SI, Kaida Y, Nakayama Y, Ando R, Obara N, Ueda S, Okuda S, Granatova J, Havrda M, Hruskova Z, Tesar V, Viklicky O, Rysava R, Rychlik I, Kratka K, Honsova E, Vernerova Z, Maluskova J, Vranova J, Bolkova M, Borecka K, Benakova H, Zima T, Lu KC, Yang HY, Su SL, Cao YH, Lv LL, Liu BC, Zeng R, Gao XF, Deng YY, Boelaert J, t' Kindt R, Glorieux G, Schepers E, Jorge L, Neirynck N, Lynen F, Sandra P, Sandra K, Vanholder R, Yamamoto T, Nameta M, Yoshida Y, Uhlen M, Shi Y, Tang J, Zhang J, An Y, Liao Y, Li Y, Tao Y, Wang L, Koibuchi K, Tanaka K, Aoki T, Miyagi M, Sakai K, Aikawa A, Martins AR, Branco PQ, Serra FM, Matias PJ, Lucas CP, Adragao T, Duarte J, Oliveira MM, Saraiva AM, Barata JD, Masola V, Zaza G, Granata S, Proglio M, Pontrelli P, Abaterusso C, Schena F, Gesualdo L, Gambaro G, Lupo A, Pruijm M, Hofmann L, Stuber M, Zweiacker C, Piskunowicz M, Muller ME, Vogt B, Burnier M, Togashi N, Yamashita T, Mita T, Ohnuma Y, Hasegawa T, Endo T, Tsuchida A, Ando T, Yoshida H, Miura T, Bevins A, Assi L, Ritchie J, Jesky M, Stringer S, Kalra P, Hutchison C, Harding S, Cockwell P, Viccica G, Cupisti A, Chiavistelli S, Borsari S, Pardi E, Centoni R, Fumagalli G, Cetani F, Marcocci C, Scully P, O'Flaherty D, Sankaralingam A, Hampson G, Goldsmith DJ, Pallet N, Chauvet S, Beaune P, Nochy D, Thervet E, Karras A, Bertho G, Gallyamov MG, Saginova EA, Severova MM, Krasnova TN, Kopylova AA, Cho E, Jo SK, Kim MG, Cho WY, kim HK, Trivin C, Metzger M, Boffa JJ, Vrtovsnik F, Houiller P, Haymann JP, Flamant M, Stengel B, Thervet E, Roozbeh J, Yavari V, Pakfetrat M, Zolghadr AA, Kim CS, Kim MJ, Kang YU, Choi JS, Bae EH, Ma SK, Kim SW, Lemoine S, Guebre-Egziabher F, Dubourg L, Hadj-Aissa A, Blumberg S, Katzir Z, Biro A, Cernes R, Barnea Z, Vasquez D, Gordillo R, Aller C, Fernandez B, Jabary N, Perez V, Mendiluce A, Bustamante J, Coca A, Goek ON, Sekula P, Prehn C, Meisinger C, Gieger C, Suhre K, Adamski J, Kastenmuller G, Kottgen A, Kuzniewski M, Fedak D, Dumnicka P, Solnica B, Kusnierz-Cabala B, Kapusta M, Sulowicz W, Drozdz R, Zawada AM, Rogacev KS, Hummel B, Fliser D, Geisel J, Heine GH, Kretschmer A, Volsek M, Krahn T, Kolkhof P, Kribben A, Bruck H, Koh ES, Chung S, Yoon HE, Park CW, Chang YS, Shin SJ, Deagostini MC, Vigotti FN, Ferraresi M, Consiglio V, Scognamiglio S, Moro I, Clari R, Daidola G, Versino E, Piccoli GB, Mammadrahim Agayev M, Mehrali Mammadova I, Qarib Ismayilova S, Anguiano L, Riera M, Pascual J, Barrios C, Betriu A, Valdivielso JM, Fernandez E, Soler MJ, Tsarpali V, Liakopoulos V, Panagopoulou E, Kapoukranidou D, Spaia S, Kostopoulou M, Michalaki A, Nikitidou O, Dombros N, Zhu F, Abba S, Flores-Gama C, Williams C, Cartagena C, Carter M, Kotanko P, Levin NW, Kolesnyk M, Stepanova N, Driyanska V, Stashevska N, Kundin V, Shifris I, Dudar I, Zaporozhets O, Keda T, Ishchenko M, Khil M, Choe JY, Nam SA, Kim J, Cha JH, Gliga ML, Irimescu CG, Caldararu CD, Gliga MG, Toma LV, Gomotarceanu A, Park Y, Kim Y, Jeon J, Kwon SK, Kim SJ, Kim SM, Kim HY, Montero N, Soler MJ, Barrios C, Marquez E, Berrada A, Arias C, Prada JA, Orfila MA, Mojal S, Vilaplana C, Pascual J, Vigotti FN, Attini R, Parisi S, Fassio F, Deagostini MC, Ghiotto S, Ferraresi M, Clari R, Biolcati M, Todros T, Piccoli GB, Jin K, Vaziri ND, Tramonti G, Romiti N, Chieli E, Maksudova AN, Khusnutdinova LA, Tang J, Shi Y, Zhang J, Li Y, An Y, Tao Y, Wang L, Reque JE, Quiroga B, Lopez JM, Verdallez UG, Garcia de Vinuesa M, Goicoechea M, Nayara PG, Arroyo DR, Luno J, Tanaka H, Flores-Gama C, Abbas SR, Williams C, Cartagena C, Carter M, Thijssen S, Kotanko P, Levin NW, Zhu F, Berthoux FC, Azzouz L, Afiani A, Ziane A, Mariat C, Fournier H, Kusztal M, Dzierzek P, Witkowski G, Nurzynski M, Golebiowski T, Weyde W, Klinger M, Altiparmak MR, Seyahi N, Trabulus S, Bolayirli M, Andican ZG, Suleymanlar G, Serdengecti K, Niculae A, Checherita IA, Neagoe DN, Ciocalteu A, Seiler S, Rogacev KS, Pickering JW, Emrich I, Fliser D, Heine G, Bargnoux AS, Obiols J, Kuster N, Fessler P, Badiou S, Dupuy AM, Ribstein J, Cristol JP, Yanagisawa N, Ando M, Ajisawa A, Tsuchiya K, Nitta K, Bouquegneau A, Cavalier E, Krzesinski JM, Delanaye P, Tominaga N, Shibagaki Y, Kida K, Miyake F, Kimura K, Ayvazyan A, Rameev V, Kozlovskaya L, Simonyan A, Scholze A, Marckmann P, Tepel M, Rasmussen LM, Hara M, Ando M, Tsuchiya K, Nitta K, Kanai H, Harada K, Tamura Y, Kawai Y, Al-Jebouri MM, Madash SA, Leonidovna Berezinets O, Nicolaevich Rossolovskiy A. Lab methods / biomarkers. Nephrol Dial Transplant 2013. [DOI: 10.1093/ndt/gft108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Hirata M, Itoh M, Tsuchida A, Ooishi H, Hanada K, Kajiyama G. Dexamethasone inhibits invasiveness of a human pancreatic cancer cell line. Int J Oncol 2012; 8:327-30. [PMID: 21544363 DOI: 10.3892/ijo.8.2.327] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Recent studies have shown that dexamethasone inhibits gelatinases. We investigated the effect of dexamethasone on the invasiveness of a human pancreatic cancer cell line. Tumor cells were treated with dexamethasone at various concentrations for 24 h. Cells were examined in an invasion assay. The expression and activity of MMP-9 in culture media were quantitated by Western blotting and gelatin zymogram. The invasiveness of cancer cells and expression of MMP-9 were decreased by dexamethasone in a dose-dependent manner. Dexamethasone may be a useful therapeutic agent in the treatment of pancreatic cancer.
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Tsuchida A, Fellows LK. Are You Upset? Distinct Roles for Orbitofrontal and Lateral Prefrontal Cortex in Detecting and Distinguishing Facial Expressions of Emotion. Cereb Cortex 2012; 22:2904-12. [PMID: 22223852 DOI: 10.1093/cercor/bhr370] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Ami Tsuchida
- Department of Neurology & Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada.
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Koski L, Brouillette MJ, Lalonde R, Hello B, Wong E, Tsuchida A, Fellows LK. Computerized testing augments pencil-and-paper tasks in measuring HIV-associated mild cognitive impairment*. HIV Med 2011; 12:472-80. [DOI: 10.1111/j.1468-1293.2010.00910.x] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Katsuma S, Tsuchida A, Matsuda-Imai N, Kang W, Shimada T. Role of the ubiquitin-proteasome system in Bombyx mori nucleopolyhedrovirus infection. J Gen Virol 2010; 92:699-705. [DOI: 10.1099/vir.0.027573-0] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Furuta Y, Horiguchi M, Sugaru E, Ono-Kishino M, Otani M, Sakai M, Masui Y, Tsuchida A, Sato Y, Takubo K, Hochigai H, Kimura H, Nakahira H, Nakagawa T, Taiji M. Chronic administration of DSP-7238, a novel, potent, specific and substrate-selective DPP IV inhibitor, improves glycaemic control and beta-cell damage in diabetic mice. Diabetes Obes Metab 2010; 12:421-30. [PMID: 20415690 DOI: 10.1111/j.1463-1326.2009.01180.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
AIMS The purpose of this study is to assess the in vitro enzyme inhibition profile of DSP-7238, a novel non-cyanopyrrolidine dipeptidyl peptidase (DPP) IV inhibitor and to evaluate the acute and chronic effects of this compound on glucose metabolism in two different mouse models of type 2 diabetes. METHODS The in vitro enzyme inhibition profile of DSP-7238 was assessed using plasma and recombinant enzymes including DPP IV, DPP II, DPP8, DPP9 and fibroblast activation protein alpha (FAPalpha) with fluorogenic substrates. The inhibition type was evaluated based on the Lineweaver-Burk plot. Substrate selectivity of DSP-7238 and comparator DPP IV inhibitors (vildagliptin, sitagliptin, saxagliptin and linagliptin) was evaluated by mass spectrometry based on the changes in molecular weight of peptide substrates caused by release of N-terminal dipeptides. In the in vivo experiments, high-fat diet-induced obese (DIO) mice were subjected to oral glucose tolerance test (OGTT) following a single oral administration of DSP-7238. To assess the chronic effects of DSP-7238 on glycaemic control and pancreatic beta-cell damage, DSP-7238 was administered for 11 weeks to mice made diabetic by a combination of high-fat diet (HFD) and a low-dose of streptozotocin (STZ). After the dosing period, HbA1c was measured and pancreatic damage was evaluated by biological and histological analyses. RESULTS DSP-7238 and sitagliptin both competitively inhibited recombinant human DPP IV (rhDPP IV) with K(i) values of 0.60 and 2.1 nM respectively. Neither vildagliptin nor saxagliptin exhibited competitive inhibition of rhDPP IV. DSP-7238 did not inhibit DPP IV-related enzymes including DPP8, DPP9, DPP II and FAPalpha, whereas vildagliptin and saxagliptin showed inhibition of DPP8 and DPP9. Inhibition of glucagon-like peptide-1 (GLP-1) degradation by DSP-7238 was apparently more potent than its inhibition of chemokine (C-X-C motif) ligand 10 (IP-10) or chemokine (C-X-C motif) ligand 12 (SDF-1alpha) degradation. In contrast, vildagliptin and saxagliptin showed similar degree of inhibition of degradation for all the substrates tested. Compared to treatment with the vehicle, single oral administration of DSP-7238 dose-dependently decreased plasma DPP IV activity and improved glucose tolerance in DIO mice. In addition, DSP-7238 significantly decreased HbA1c and ameliorated pancreatic damage following 11 weeks of chronic treatment in HFD/STZ mice. CONCLUSIONS We have shown in this study that DSP-7238 is a potent DPP IV inhibitor that has high specificity for DPP IV and substrate selectivity against GLP-1. We have also found that chronic treatment with DSP-7238 improves glycaemic control and ameliorates beta-cell damage in a mouse model with impaired insulin sensitivity and secretion. These findings indicate that DSP-7238 may be a new therapeutic agent for the treatment of type 2 diabetes.
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Affiliation(s)
- Y Furuta
- Pharmacology Research Laboratories, Dainippon Sumitomo Pharma Co. Ltd., Konohana-Ku, Osaka, Japan
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Tsuchida A, Fellows LK. Lesion evidence that two distinct regions within prefrontal cortex are critical for n-back performance in humans. J Cogn Neurosci 2010; 21:2263-75. [PMID: 19199405 DOI: 10.1162/jocn.2008.21172] [Citation(s) in RCA: 81] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Although prefrontal cortex is clearly important in executive function, the specific processes carried out by particular regions within human prefrontal cortex remain a matter of debate. A rapidly growing corpus of functional imaging work now implicates various areas within prefrontal cortex in a wide range of "executive" tasks. Loss-of-function studies can help constrain the interpretation of such evidence by testing to what extent particular brain areas are necessary for a given cognitive process. Here we apply a component process analysis to understand prefrontal contributions to the n-back task, a widely used test of working memory, in a cohort of patients with focal prefrontal damage. We investigated letter 2-back task performance in 27 patients with focal damage to various regions within prefrontal cortex, compared to 29 demographically matched control subjects. Both "behavior-defined" approaches, using qualitative lesion analyses and voxel-based lesion-symptom mapping methods, and more conventional "lesion-defined" groupwise comparisons were undertaken to determine the relationships between specific sites of damage within prefrontal cortex and particular aspects of n-back task performance. We confirmed a critical role for left lateral prefrontal cortex in letter 2-back performance. We also identified a critical role for medial prefrontal cortex in this task: Damage to dorsal anterior cingulate cortex and adjacent dorsal fronto-medial cortex led to a pattern of impairment marked by high false alarm rates, distinct from the impairment associated with lateral prefrontal damage. These findings provide converging support for regionally specific models of human prefrontal function.
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Affiliation(s)
- Ami Tsuchida
- Montreal Neurological Institute, Montréal, Canada.
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Taiji M, Tsuchida A, Nakagawa T, Ogawa W, Kasuga M, Noguchi H. Endocrinological function of brain-derived neurotrophic factor in diabetic mice. J Neurochem 2008. [DOI: 10.1046/j.1471-4159.81.s1.32_3.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Yamanaka M, Itakura Y, Tsuchida A, Nakagawa T, Noguchi H, Taiji M. Comparison of the antidiabetic effects of brain-derived neurotrophic factor and thiazolidinediones in obese diabetic mice. Diabetes Obes Metab 2007; 9:879-88. [PMID: 17924870 DOI: 10.1111/j.1463-1326.2006.00675.x] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
AIMS Brain-derived neurotrophic factor (BDNF) ameliorates glucose metabolism in obese diabetic db/db mice. The antidiabetic effect of BDNF is dependent on plasma insulin levels, and BDNF enhances insulin action by modulating insulin signalling in peripheral tissues. The aim of the study was to compare the antidiabetic effects of BDNF with those of thiazolidinediones (TZDs), which are insulin-sensitizing agents, through evaluation of the effects of BDNF and TZDs on glucose metabolism, energy expenditure, pancreatic function and hepatic steatosis in db/db mice. METHODS The effects of BDNF, pioglitazone and rosiglitazone on blood glucose concentration, body weight and pancreatic insulin and glucagon contents and the effects of BDNF and troglitazone treatment for 3 weeks on blood glucose concentration, body and liver weights and histological liver images were examined in db/db mice. Furthermore, since BDNF reduces food intake in obese hyperphagic diabetic mice, the effects of BDNF treatment for 3 weeks on blood glucose concentration, body weight, fat pad and liver weights and rectal temparature in db/db mice were compared with those of troglitazone under pair-fed conditions. RESULTS BDNF, pioglitazone and rosiglitazone all ameliorated hyperglycaemia in db/db mice, but BDNF increased the pancreatic insulin content more effectively than pioglitazone and rosiglitazone. The pancreatic glucagon content decreased with BDNF, but increased with pioglitazone and rosiglitazone compared with vehicle, and body weight and liver weight increased with troglitazone, but decreased with BDNF compared with vehicle. Histological analysis of the liver showed that BDNF treatment reduced the massive vacuolization observed with vehicle, whereas troglitazone worsened the vacuolization. Body weight, fat pad and liver weights in BDNF-treated mice were significantly lower than those in pair-fed troglitazone-treated db/db mice, and rectal temperature in BDNF-treated mice was significantly higher than that in pair-fed troglitazone-treated mice, suggesting that BDNF enhances energy expenditure. CONCLUSIONS These data suggest that compared with TZDs, BDNF potently ameliorates pancreatic dysfunction, fatty liver and energy expenditure, thereby exerting favourable antidiabetic effects in type 2 diabetic mice.
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Affiliation(s)
- M Yamanaka
- Pharmacology Research Laboratories, Drug Research Division, Dainippon Sumitomo Pharma Co., Ltd, Osaka, Japan.
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Ohmura E, Hosaka D, Yazawa M, Tsuchida A, Tokunaga M, Ishida H, Minagawa S, Matsuda A, Imai Y, Kawazu S, Sato T. Association of free fatty acids (FFA) and tumor necrosis factor-alpha (TNF-alpha) and insulin-resistant metabolic disorder. Horm Metab Res 2007; 39:212-7. [PMID: 17373637 DOI: 10.1055/s-2007-970421] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The roles of free fatty acids (FFA), tumor necrosis factor-alpha (TNF-alpha), and adiponectin in the development of the insulin-resistant metabolic disorder in several subjects have been studied. A total of 70 Japanese male subjects were selected according to the following three sets of criteria: subjects in group A had, (1) a fasting plasma glucose (FPG)>or=110 to <140 mg/dl, (2) a triglyceride (TG) level>or=150 mg/dl, (3) a systolic blood pressure (SBP)>or=140 and/or diastolic blood pressure (DBP)>or=90 mmHg, and (4) a body mass index (BMI)>or=25 kg/m2 (age=53.4+/-8.5 years, BMI=27.0+/-1.3 kg/m2, n=16). Subjects in group B had, (1) FPG<110 mg/dl, (2) TG<150 mg/dl, (3) SBP<140 and DBP<90 mmHg, and (4) BMI>or=25 kg/m2 (age=47.2+/-10.3 years, BMI=26.6+/-1.31 kg/m2, n=38). Subjects in group C had, (1) FPG<110 mg/dl, (2) TG<150 mg/dl, (3) SBP<140 and DBP<90 mmHg, and (4) 20>or=BMI<22 kg/m2 (age=50.4+/-9.3 years, BMI=20.9+/-0.6 kg/m2, n=16). The homeostasis model assessment of insulin resistance in group A (2.7+/-1.4) was significantly higher (p<0.0001) than in groups B (1.6+/-0.7) and C (0.9+/-0.5). FFA in group A (1.17+/-0.57 mEq/l) was significantly higher than in groups B (0.62+/-0.23 mEq/l) and C (0.48+/-0.16 mEq/l) (p<0.0001). Serum TNF-alpha in group A (1.36+/-0.62 pg/ml) was significantly higher than in groups B (0.95+/-0.35 pg/ml; p=0.003) and C (0.76+/-0.09 pg/ml; p=0.0013). No significant differences in the serum level of adiponectin were observed between groups A and B or between groups B and C. The results suggest that FFA and possibly TNF-alpha levels are closely related to the development of insulin resistance in subjects with metabolic disorders.
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Affiliation(s)
- E Ohmura
- Division of Endocrinology and Diabetes, Department of Medicine, Saitama Medical Center, Saitama Medical University, Kawagoe city, Saitama, Kamisho Health Insurance Center, Tokyo, Japan.
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Yamanaka M, Tsuchida A, Nakagawa T, Nonomura T, Ono-Kishino M, Sugaru E, Noguchi H, Taiji M. Brain-derived neurotrophic factor enhances glucose utilization in peripheral tissues of diabetic mice. Diabetes Obes Metab 2007; 9:59-64. [PMID: 17199719 DOI: 10.1111/j.1463-1326.2006.00572.x] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AIMS Repetitive subcutaneous or intracerebroventricular administration of brain-derived neurotrophic factor (BDNF) ameliorates glucose metabolism and enhances energy expenditure in obese diabetic C57BL/KsJ-db/db mice. To explore the mechanism of action through which BDNF regulates glucose metabolism, we examined the effects of BDNF on glucose utilization and norepinephrine (NE) content in peripheral tissues of diabetic mice. METHODS [(14)C]2-deoxyglucose ([(14)C]2-DG) uptake into peripheral tissues was analysed after intravenous injection of [(14)C]2-DG in db/db and normal C57BL/6 mice, and [(14)C]2-DG uptake and NE content in peripheral tissues were analysed after subcutaneous administration of BDNF (20 mg/kg) to male db/db and normal mice for 8 days. RESULTS [(14)C]2-DG uptake in the diaphragm, heart, gastrocnemius, soleus and interscapular brown adipose tissue (BAT) of db/db mice was significantly lower than in normal mice. Repetitive administration of BDNF to db/db mice for 8 days enhanced [(14)C]2-DG uptake in the diaphragm, heart, soleus, BAT and liver. The NE content in heart, skeletal muscle, interscapular BAT and liver of db/db mice given BDNF was high compared with db/db mice given vehicle, whereas no significant change in NE content in peripheral tissues was observed in normal mice given BDNF and those given vehicle. BDNF did not affect [(14)C]2-DG uptake or NE content in the white adipose tissue of db/db mice. CONCLUSIONS These data indicate that BDNF ameliorates glucose metabolism by enhancement of glucose utilization in muscle and BAT, with this effect caused by modulation of the central and peripheral nervous systems.
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Affiliation(s)
- M Yamanaka
- Dainippon Sumitomo Pharma Co. Ltd, Drug Research Division, Pharmacology Research Laboratories, Discovery Pharmacology Group I, Kasugadenaka, Konohana-ku, Osaka, Japan
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Osaka Y, Takagi Y, Hoshino S, Tachibana S, Tsuchida A, Aoki T. Combination chemotherapy with docetaxel and nedaplatin for recurrent esophageal cancer in an outpatient setting. Dis Esophagus 2006; 19:473-6. [PMID: 17069591 DOI: 10.1111/j.1442-2050.2006.00614.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The purpose of this study was to address the feasibility of combination chemotherapy of docetaxel and nedaplatin for recurrent esophageal cancer patients in an outpatient setting. Patients received docetaxel (30 mg/m(2) intravenously) on day 1 and nedaplatin (40 mg/m(2) intravenously) on day 1 every 2 weeks. In total, 28 patients with recurrent esophageal cancer after the initial treatment (esophagectomy, chemotherapy and/or chemoradiotherapy) were enrolled. Each patient received six cycles of treatment and was evaluated with a computed tomography scan. The percentage of patients who completed this therapy was 60.7%. Complete response and partial response were achieved by 3.6% and 35.7% of patients, respectively. The most frequent toxicities were leukopenia and anemia; non-hematological toxicities were generally mild. There was no treatment-related death. The median survival time and 1-year survival rate were 8.5 months and 15.9%, respectively. This outpatient combination chemotherapy was useful as second-line chemotherapy for recurrent esophageal cancer.
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Affiliation(s)
- Y Osaka
- Third Department of Surgery, Tokyo Medical University, Tokyo, Japan.
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Itoi T, Yamanouchi E, Ikeda T, Sofuni A, Kurihara T, Tsuchiya T, Tsuchida A, Kasuya K, Moriyasu F. Magnetic compression anastomosis: a novel technique for canalization of severe hilar bile duct strictures. Endoscopy 2005; 37:1248-51. [PMID: 16329026 DOI: 10.1055/s-2005-870269] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- T Itoi
- Fourth Department of Internal Medicine, Tokyo Medical University, Tokyo, Japan.
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Ogata T, Nishida J, Seo K, Kouno T, Hamaya M, Sato S, Yoshida K, Tsuchida A, Aoki T. Phase I/II trials of thermochemotherapy with S-1/CDDP in patients with advanced gastric cancer. J Clin Oncol 2005. [DOI: 10.1200/jco.2005.23.16_suppl.4245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- T. Ogata
- Niizashiki Central Gen Hosp, Saitama, Japan; Niizashiki Central Gen Hosp, Tokyo, Japan; Tokyo Medcl Univ, Tokyo, Japan
| | - J. Nishida
- Niizashiki Central Gen Hosp, Saitama, Japan; Niizashiki Central Gen Hosp, Tokyo, Japan; Tokyo Medcl Univ, Tokyo, Japan
| | - K. Seo
- Niizashiki Central Gen Hosp, Saitama, Japan; Niizashiki Central Gen Hosp, Tokyo, Japan; Tokyo Medcl Univ, Tokyo, Japan
| | - T. Kouno
- Niizashiki Central Gen Hosp, Saitama, Japan; Niizashiki Central Gen Hosp, Tokyo, Japan; Tokyo Medcl Univ, Tokyo, Japan
| | - M. Hamaya
- Niizashiki Central Gen Hosp, Saitama, Japan; Niizashiki Central Gen Hosp, Tokyo, Japan; Tokyo Medcl Univ, Tokyo, Japan
| | - S. Sato
- Niizashiki Central Gen Hosp, Saitama, Japan; Niizashiki Central Gen Hosp, Tokyo, Japan; Tokyo Medcl Univ, Tokyo, Japan
| | - K. Yoshida
- Niizashiki Central Gen Hosp, Saitama, Japan; Niizashiki Central Gen Hosp, Tokyo, Japan; Tokyo Medcl Univ, Tokyo, Japan
| | - A. Tsuchida
- Niizashiki Central Gen Hosp, Saitama, Japan; Niizashiki Central Gen Hosp, Tokyo, Japan; Tokyo Medcl Univ, Tokyo, Japan
| | - T. Aoki
- Niizashiki Central Gen Hosp, Saitama, Japan; Niizashiki Central Gen Hosp, Tokyo, Japan; Tokyo Medcl Univ, Tokyo, Japan
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Itoi T, Itokawa F, Sofuni A, Nakamura K, Tsuchida A, Yamao K, Kawai T, Moriyasu F. Puncture of solid pancreatic tumors guided by endoscopic ultrasonography: a pilot study series comparing Trucut and 19-gauge and 22-gauge aspiration needles. Endoscopy 2005; 37:362-6. [PMID: 15824948 DOI: 10.1055/s-2004-826156] [Citation(s) in RCA: 94] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND STUDY AIMS The aim of this prospective study was to compare endoscopic ultrasonography-guided Trucut needle biopsy (EUS-TNB) with EUS-guided fine-needle aspiration biopsy (EUS-FNAB) using 19- and 22-gauge needles for biopsy from different sites in patients with solid pancreatic cancers. PATIENTS AND METHODS Sixteen consecutive patients with masses in the uncinate process (n = 3), the head (n = 5), or the body and tail (n = 8) of the pancreas underwent both EUS-TNB and EUS-FNAB. The specimens obtained were evaluated by histopathological analysis alone RESULTS Tissue specimens were obtained by Trucut needle, and by 19-gauge and 22-gauge aspiration needles in 69 %, 69 %, and 100 % of patients respectively. Sensitivity for malignancy was 69 % for all needles. Tissue sampling by Trucut and by 19-gauge aspiration needle from masses in the uncinate process was impossible. The sensitivity of the Trucut and 19-gauge aspiration needles was 100 % in the 11 patients with successful procedures. If Trucut or 19-gauge aspiration needles had been used for body and tail masses, and the 22-gauge aspiration needle for masses in the uncinate process and head, the sensitivity for malignancy would have been 81 %. CONCLUSIONS EUS-TNB allows reliable tissue sampling for the diagnosis of pancreatic masses, but its use is limited to lesions in the body and tail of the pancreas. EUS-FNAB using a 22-gauge needle may be useful for accurate diagnosis in some patients with masses in the uncinate process or the head of the pancreas.
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Affiliation(s)
- T Itoi
- Fourth Department of Internal Medicine, Tokyo Medical University, Tokyo, Japan.
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Kusama M, Kaise H, Ota D, Nakayama S, Miisaka T, Tsuchida A, Aoki T, Hakamada Y, Arima M. Evaluation of sensitivity to 5-FU on the basis of TS and DPD activity in micro tissue specimens. J Clin Oncol 2004. [DOI: 10.1200/jco.2004.22.90140.651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- M. Kusama
- Tokyo Medical University, Tokyo, Japan; Tokyo Metropolitan Otsuka Hospital, Tokyo, Japan; Tokyo Metropolita Otsuka Hospital, Tokyo, Japan
| | - H. Kaise
- Tokyo Medical University, Tokyo, Japan; Tokyo Metropolitan Otsuka Hospital, Tokyo, Japan; Tokyo Metropolita Otsuka Hospital, Tokyo, Japan
| | - D. Ota
- Tokyo Medical University, Tokyo, Japan; Tokyo Metropolitan Otsuka Hospital, Tokyo, Japan; Tokyo Metropolita Otsuka Hospital, Tokyo, Japan
| | - S. Nakayama
- Tokyo Medical University, Tokyo, Japan; Tokyo Metropolitan Otsuka Hospital, Tokyo, Japan; Tokyo Metropolita Otsuka Hospital, Tokyo, Japan
| | - T. Miisaka
- Tokyo Medical University, Tokyo, Japan; Tokyo Metropolitan Otsuka Hospital, Tokyo, Japan; Tokyo Metropolita Otsuka Hospital, Tokyo, Japan
| | - A. Tsuchida
- Tokyo Medical University, Tokyo, Japan; Tokyo Metropolitan Otsuka Hospital, Tokyo, Japan; Tokyo Metropolita Otsuka Hospital, Tokyo, Japan
| | - T. Aoki
- Tokyo Medical University, Tokyo, Japan; Tokyo Metropolitan Otsuka Hospital, Tokyo, Japan; Tokyo Metropolita Otsuka Hospital, Tokyo, Japan
| | - Y. Hakamada
- Tokyo Medical University, Tokyo, Japan; Tokyo Metropolitan Otsuka Hospital, Tokyo, Japan; Tokyo Metropolita Otsuka Hospital, Tokyo, Japan
| | - M. Arima
- Tokyo Medical University, Tokyo, Japan; Tokyo Metropolitan Otsuka Hospital, Tokyo, Japan; Tokyo Metropolita Otsuka Hospital, Tokyo, Japan
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Nakagawa T, Ogawa Y, Ebihara K, Yamanaka M, Tsuchida A, Taiji M, Noguchi H, Nakao K. Anti-obesity and anti-diabetic effects of brain-derived neurotrophic factor in rodent models of leptin resistance. Int J Obes (Lond) 2003; 27:557-65. [PMID: 12704399 DOI: 10.1038/sj.ijo.0802265] [Citation(s) in RCA: 75] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Obesity in rodents and humans is mostly associated with elevated plasma leptin concentrations, suggesting a new pathological concept of 'leptin resistance'. We have demonstrated that brain-derived neurotrophic factor (BDNF) can improve obesity and diabetes of C57BL/KsJ db/db (db/db) mice. In this study, we investigated whether or not BDNF is effective in two different models of leptin resistance, an acquired model and a genetic model. DESIGN C57BL/6J mice rendered obese by consumption of a high-fat diet (diet-induced obesity (DIO) mice) were used as an acquired model and lethal yellow agouti mice (KKA(y) mice) as a genetic model of leptin resistance. Food intake and glucose metabolism were studied after acute or repetitive administration of BDNF. RESULTS Intraperitoneal administration of BDNF (10 mg/kg, twice/day) significantly reduced cumulative food intake of DIO and KKA(y) mice, whereas they were unresponsive to leptin administration. Repetitive subcutaneous administration of BDNF (10 mg/kg daily for 6 days) reduced food intake and improved impaired glucose tolerance in DIO mice. Pair feeding of vehicle-treated DIO mice with the same amount of chow consumed by the BDNF-treated group did not improve the impaired glucose homeostasis, indicating that the antidiabetic effect is not due to decreased food intake. We also observed that BDNF is effective in improving obesity and diabetes of KKA(y) mice. CONCLUSION This study demonstrated antiobesity and antidiabetic effects of BDNF in two different models of leptin resistance, thereby suggesting the therapeutic potential of BDNF in the treatment of leptin-resistant obesity and diabetes.
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Affiliation(s)
- T Nakagawa
- Discovery Research Laboatories I, Sumitomo Pharmaceuticals Research Division, Osaka, Japan
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Ikeda T, Aoki T, Miyashita T, Kasuya K, Tsuchida A, Koyanagi Y, Matsumura T, Suzuki S, Enosawa S. Experimental study of plasma recycling system by off-line bioartificial liver in rats. Transplant Proc 2002; 34:2706-10. [PMID: 12431582 DOI: 10.1016/s0041-1345(02)03383-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- T Ikeda
- Department of Surgery, Tokyo Medical University, Japan
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Affiliation(s)
- A Mimuro
- Department of Surgery, Tokyo Medical University, Tokyo, Japan.
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Yasuda Y, Kasuya K, Nishihira J, Sasaki Y, Tsuchida A, Aoki T, Koyanagi Y. Induction of cell arrest by transfection of macrophage migration inhibitory factor antisense plasmid. Int J Mol Med 2002. [DOI: 10.3892/ijmm.10.4.463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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Sasaki T, Fujimoto Y, Tsuchida A, Kawasaki Y, Kuwada Y, Chayama K. Activation of peroxisome proliferator-activated receptor gamma inhibits the growth of human pancreatic cancer. Pathobiology 2002; 69:258-65. [PMID: 12107343 DOI: 10.1159/000064336] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE In the present study, we examined the expression of peroxisome proliferator-activated receptor gamma (PPARgamma) in human pancreatic cancer and the possible effects of its ligand engagement on cell growth. METHODS Seven human pancreatic cancer cell lines and 7 surgically resected human pancreatic cancer tissues were used as samples. The expression of PPARgamma was analyzed with reverse transcription-polymerase chain reaction and immunoblotting. The interaction between PPARgamma and PPAR-responsive element (PPRE) was examined by gel shift assay. Growth inhibition by thiazolidinediones was confirmed with anchorage-dependent and anchorage-independent growth assays. RESULTS PPARgamma was detected in all cell lines tested and in 5 out of 7 cancer tissues (71%), but was not found in adjacent normal pancreatic tissues. Gel shift analysis revealed that the proteins in nuclear extracts of the pancreatic cancer cell line PANC-1 specifically bind to the PPRE. Cell growth was significantly inhibited by treatment with troglitazone and rosiglitazone in a dose- and time-dependent manner (p < 0.01). In contrast, a nonfunctional metabolic analog of troglitazone did not affect cell growth. CONCLUSION These observations suggest that PPARgamma plays an important role in human pancreatic cancer growth and that ligand-induced activation of PPARgamma would be a useful strategy for treatment of human pancreatic cancer.
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Affiliation(s)
- T Sasaki
- First Department of Internal Medicine, Hiroshima University School of Medicine, Japan.
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Tsuchida A, Nonomura T, Nakagawa T, Itakura Y, Ono-Kishino M, Yamanaka M, Sugaru E, Taiji M, Noguchi H. Brain-derived neurotrophic factor ameliorates lipid metabolism in diabetic mice. Diabetes Obes Metab 2002; 4:262-9. [PMID: 12099975 DOI: 10.1046/j.1463-1326.2002.00206.x] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
AIM It has been reported previously that brain-derived neurotrophic factor (BDNF) regulates blood glucose metabolism in rodent obese diabetic models such as C57BL/KsJ-leprdb/leprdb (db/db) mice. BDNF further regulates energy expenditure, possibly through the central and autonomous nervous systems. In this study, we evaluated the effect of BDNF on both lipid and glucose metabolisms to clarify its action mechanism. METHODS To control the energy intake, we used a pellet pair-feeding apparatus to synchronize food intake precisely between BDNF-treated and vehicle-treated db/db mice. BDNF (50 mg/kg/week) was subcutaneously injected to male db/db mice twice weekly for 3 weeks, and blood glucose, serum biochemical lipid parameters and tissue weights were measured. Liver triglyceride contents were measured and liver sections were histologically analysed. RESULTS Twice weekly BDNF treatment for 3 weeks significantly lowered blood glucose compared with pellet pair-fed, vehicle-treated db/db mice (294 +/- 109 vs. 529 +/- 91 mg/dL). Serum non-esterified free fatty acid (726 +/- 72 vs. 999 +/- 220 microEq/l), total cholesterol (125 +/- 8 vs. 151 +/- 23 mg/dL) and phospholipid levels (215 +/- 13 vs. 257 +/- 36 mg/dL) of the BDNF-treated db/db mice decreased significantly. Liver weights (1.51 +/- 0.11 vs. 2.05 +/- 0.11 g), liver triglyceride contents (17.5 +/- 1.4 vs. 26.1 +/- 2.1 mg/g) and fatty liver in histological appearance were reduced with BDNF treatment. There were no significant differences in body weights and white adipose tissue weights between the two groups. CONCLUSIONS Taken together with the accelerating effect of BDNF on energy metabolism, these findings indicate that BDNF improves glucose and lipid metabolism in obese diabetic animals without enlarging liver or adipose tissues.
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Affiliation(s)
- A Tsuchida
- Sumitomo Pharmaceuticals Co. Ltd, Discovery Research Laboratories II, Konohana-ku, Osaka 554-0022, Japan
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Tsuchida A, Yamamoto M, Nishijima Y. Laser photolysis studies on the rate constants of electron transfer reactions of aromatic molecules in solution. ACTA ACUST UNITED AC 2002. [DOI: 10.1021/j150665a053] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Aoki T, Osaka Y, Takagi Y, Okada R, Shinohara M, Tsuchida A, Sato S, Koyanagi Y. Comparative study of self-expandable metallic stent and bypass surgery for inoperable esophageal cancer. Dis Esophagus 2002; 14:208-11. [PMID: 11869321 DOI: 10.1046/j.1442-2050.2001.00186.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
We evaluated the effect of two different therapies for 23 patients with inoperable esophageal cancer, of whom 13 patients underwent placement of a metallic stent and 10 received bypass surgery. We newly defined the improved level of food intake and the effective rate based on the grade of the patient's status in order to evaluate objectively. Although the effect of stent placement was significantly better than that of bypass surgery, there were no significant differences in the improved level of food intake and the effective rate between the two groups. Four out of 10 patients in the bypass group had suture insufficiency, resulting in no oral intake and a fatal outcome. In addition, the ratio of survival period of ability to ingest orally and in-hospital mortality was significantly favorable in the stent group compared with the bypass group. In conclusion, stent placement should be the first choice for inoperable malignant stenosis or esophageal fistula.
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Affiliation(s)
- T Aoki
- Department of Surgery, Tokyo Medical University, Tokyo Japan
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Aoki T, Tsuchida A, Kasuya K, Inoue K, Saito H, Koyanagi Y. Is frozen section effective for diagnosis of unsuspected gallbladder cancer during laparoscopic cholecystectomy? Surg Endosc 2002; 16:197-200. [PMID: 11961639 DOI: 10.1007/s004640080207] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2001] [Accepted: 06/18/2001] [Indexed: 12/12/2022]
Abstract
BACKGROUND Although frozen section is recommended to prevent tumor dissemination following laparoscopic cholecystectomy (LC) for unsuspected gallbladder cancer, there are no reports concretely demonstrating its effectiveness and outcome. METHODS Frozen section during LC was performed in 990 patients with gallstones. The sensitivity, specificity of frozen section, and false-negative cases were evaluated in comparison with postoperative entire cross sections. RESULTS In frozen section, 983 cases were diagnosed as benign and 7 cases as malignant. Of the benign cases, cancer was discovered in 4 patients postoperatively in which frozen section was diagnosed as regenerative epithelial severe atypia. Sensitivity was 64% and specificity was 100%. Concerning the results of frozen section by p-TNM classification, cancer was diagnosed in 40% of Tis lesions, whereas it was found in 83% of T2 or T3 lesions. CONCLUSION Frozen section is effective in cases with T2 or greater lesions for which conversion to radical surgery should be required.
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Affiliation(s)
- T Aoki
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjuku-Ku, Tokyo 160-0023, Japan.
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