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Räsänen J, Helisalmi S, Heikkinen S, Raivo J, Korhonen VE, Martiskainen H, Junkkari A, Grenier-Boley B, Bellenguez C, Oinas M, Avellan C, Frantzen J, Kotkansalo A, Rinne J, Ronkainen A, Kauppinen M, von Und Zu Fraunberg M, Lönnrot K, Satopää J, Perola M, Koivisto AM, Julkunen V, Portaankorva AM, Mannermaa A, Soininen H, Jääskeläinen JE, Lambert JC, Eide PK, Palotie A, Kurki MI, Hiltunen M, Leinonen V, Lipponen A. Low prevalence of CWH43 variants among Finnish and Norwegian idiopathic normal pressure hydrocephalus patients: a cohort-based observational study. Fluids Barriers CNS 2025; 22:17. [PMID: 39948543 PMCID: PMC11827454 DOI: 10.1186/s12987-025-00625-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Accepted: 01/22/2025] [Indexed: 02/16/2025] Open
Abstract
BACKGROUND Heterozygous CWH43 loss-of-function (LOF) variants have been identified as iNPH risk factors, with 10-15% of iNPH patients carrying these variants in cohorts from the US. Mouse model harboring CWH43 LOF variants display a hydrocephalic phenotype with ventricular cilia alterations. Our aim was to study the effect of CWH43 variants on disease risk and clinical phenotype in Finnish and Norwegian iNPH cohorts. METHODS We analyzed CWH43 LOF frameshift deletions (4:49032652 CA/C, Leu533Ter and 4:49061875 CA/C, Lys696AsnfsTer23) in Finnish iNPH patients from the Kuopio NPH registry (n = 630) and FinnGen (iNPH n = 1 131, controls n = 495 400), and Norwegian iNPH patients from EADB (n = 306). The Kuopio and Norwegian cohorts included possible and probable iNPH patients based on the American-European iNPH guidelines. FinnGen cohort included iNPH patients based on ICD-10 G91.2 with the exclusion of secondary etiologies, and controls having no diagnosis of hydrocephalus. RESULTS In the Kuopio cohort of Finnish iNPH patients, 2.9% carried CWH43 variants (Leu533Ter 2.1%, Lys696AsnfsTer23 0.8%), with one homozygous Leu533Ter carrier. In FinnGen, 3.1% of iNPH patients carried heterozygous variants (Leu533Ter 2.6%, Lys696AsnfsTer23 0.5%) compared to 2.5% of controls (p = 0.219, OR = 1.23, 95% CI 0.85-1.72), with no effect on disease risk or onset age. Importantly in the FinnGen cohort, none of the 23 compound heterozygote or 59 homozygote individuals had hydrocephalus diagnosis. In the Norwegian iNPH cohort, 5.2% of patients were heterozygous variant carriers (Leu533Ter 3.3%, Lys696AsnfsTer23 2.0%). No differences in clinical phenotype (age, triad symptoms, shunt response, vascular comorbidities) were found between carriers and noncarriers in any cohort. However, 74% of variant-carrying iNPH patients in FinnGen were female, compared to 47% of noncarriers (p = 0.002). Pedigrees indicated no autosomal dominant co-inheritance of iNPH and the CWH43 variants. CONCLUSIONS We studied the iNPH-associated CWH43 LOF variants for the first time on a population-scale. Contrary to previously reported findings in smaller cohorts, our study revealed a low prevalence of these variants in the population-scale Finnish iNPH cohort, with no effect on disease risk of iNPH. The prevalence in the Norwegian iNPH cohort was also low compared to previous studies.
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Affiliation(s)
- Joel Räsänen
- Department of Neurosurgery, Kuopio University Hospital and Institute of Clinical Medicine - Neurosurgery, University of Eastern Finland, P.O.Box 100, 70029, Kuopio, KYS, Finland
| | - Seppo Helisalmi
- Faculty of Health Sciences, School of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Genome Center of Eastern Finland, Kuopio, Finland
- Biocenter Kuopio, University of Eastern Finland, Kuopio, Finland
| | - Sami Heikkinen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Joose Raivo
- Faculty of Health Sciences, School of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Genome Center of Eastern Finland, Kuopio, Finland
- Biocenter Kuopio, University of Eastern Finland, Kuopio, Finland
| | - Ville E Korhonen
- Department of Neurosurgery, Kuopio University Hospital and Institute of Clinical Medicine - Neurosurgery, University of Eastern Finland, P.O.Box 100, 70029, Kuopio, KYS, Finland
| | - Henna Martiskainen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Antti Junkkari
- Department of Neurology, Clinical Neurosciences, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Benjamin Grenier-Boley
- U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, Lille, France
| | - Céline Bellenguez
- U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, Lille, France
| | - Minna Oinas
- Department of Neurosurgery, Kuopio University Hospital and Institute of Clinical Medicine - Neurosurgery, University of Eastern Finland, P.O.Box 100, 70029, Kuopio, KYS, Finland
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Cecilia Avellan
- Neurocenter, Department of Neurosurgery, University Hospital of Turku and Clinical Neurosciences, University of Turku, Turku, Finland
| | - Janek Frantzen
- Neurocenter, Department of Neurosurgery, University Hospital of Turku and Clinical Neurosciences, University of Turku, Turku, Finland
| | - Anna Kotkansalo
- Neurocenter, Department of Neurosurgery, University Hospital of Turku and Clinical Neurosciences, University of Turku, Turku, Finland
| | - Jaakko Rinne
- Neurocenter, Department of Neurosurgery, University Hospital of Turku and Clinical Neurosciences, University of Turku, Turku, Finland
| | - Antti Ronkainen
- Department of Neurosurgery, Tampere University Hospital, Tampere, Finland
| | - Mikko Kauppinen
- Unit of Clinical Neuroscience, Neurosurgery, University of Oulu and Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Mikael von Und Zu Fraunberg
- Unit of Clinical Neuroscience, Neurosurgery, University of Oulu and Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Kimmo Lönnrot
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jarno Satopää
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Markus Perola
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
- University of Helsinki, Helsinki, Finland
| | - Anne M Koivisto
- Department of Neurosciences, University of Helsinki, Helsinki, Finland
- Department of Geriatrics, Helsinki University Hospital, Helsinki, Finland
- NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - Valtteri Julkunen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | | | - Arto Mannermaa
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, and Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Juha E Jääskeläinen
- Department of Neurosurgery, Kuopio University Hospital and Institute of Clinical Medicine - Neurosurgery, University of Eastern Finland, P.O.Box 100, 70029, Kuopio, KYS, Finland
| | - Jean-Charles Lambert
- U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, Lille, France
| | - Per K Eide
- Department of Neurosurgery, Oslo University Hospital-Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Brain Fluid Research, University of Oslo, Oslo, Norway
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
- Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, USA
| | - Mitja I Kurki
- Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, USA
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Ville Leinonen
- Department of Neurosurgery, Kuopio University Hospital and Institute of Clinical Medicine - Neurosurgery, University of Eastern Finland, P.O.Box 100, 70029, Kuopio, KYS, Finland.
| | - Anssi Lipponen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
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2
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McGill MB, Clark AL, Schnyer DM. Traumatic brain injury, posttraumatic stress disorder, and vascular risk are independently associated with white matter aging in Vietnam-Era veterans. J Int Neuropsychol Soc 2024; 30:923-934. [PMID: 39558525 DOI: 10.1017/s1355617724000626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2024]
Abstract
OBJECTIVE Traumatic brain injury (TBI), mental health conditions (e.g., posttraumatic stress disorder [PTSD]), and vascular comorbidities (e.g., hypertension, diabetes) are highly prevalent in the Veteran population and may exacerbate age-related changes to cerebral white matter (WM). Our study examined (1) relationships between health conditions-TBI history, PTSD, and vascular risk-and cerebral WM micro- and macrostructure, and (2) associations between WM measures and cognition. METHOD We analyzed diffusion tensor images from 183 older male Veterans (mean age = 69.18; SD = 3.61) with (n = 95) and without (n = 88) a history of TBI using tractography. Generalized linear models examined associations between health conditions and diffusion metrics. Total WM hyperintensity (WMH) volume was calculated from fluid-attenuated inversion recovery images. Robust regression examined associations between health conditions and WMH volume. Finally, elastic net regularized regression examined associations between WM measures and cognitive performance. RESULTS Veterans with and without TBI did not differ in severity of PTSD or vascular risk (p's >0.05). TBI history, PTSD, and vascular risk were independently associated with poorer WM microstructural organization (p's <0.5, corrected), however the effects of vascular risk were more numerous and widespread. Vascular risk was positively associated with WMH volume (p = 0.004, β=0.200, R2 = 0.034). Higher WMH volume predicted poorer processing speed (R2 = 0.052). CONCLUSIONS Relative to TBI history and PTSD, vascular risk may be more robustly associated with WM micro- and macrostructure. Furthermore, greater WMH burden is associated with poorer processing speed. Our study supports the importance of vascular health interventions in mitigating negative brain aging outcomes in Veterans.
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Affiliation(s)
- Makenna B McGill
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Alexandra L Clark
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - David M Schnyer
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
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3
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Patel Y, Shin J, Sliz E, Tang A, Mishra A, Xia R, Hofer E, Rajula HSR, Wang R, Beyer F, Horn K, Riedl M, Yu J, Völzke H, Bülow R, Völker U, Frenzel S, Wittfeld K, Van der Auwera S, Mosley TH, Bouteloup V, Lambert JC, Chêne G, Dufouil C, Tzourio C, Mangin JF, Gottesman RF, Fornage M, Schmidt R, Yang Q, Witte V, Scholz M, Loeffler M, Roshchupkin GV, Ikram MA, Grabe HJ, Seshadri S, Debette S, Paus T, Pausova Z. Genetic risk factors underlying white matter hyperintensities and cortical atrophy. Nat Commun 2024; 15:9517. [PMID: 39496600 PMCID: PMC11535513 DOI: 10.1038/s41467-024-53689-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 10/18/2024] [Indexed: 11/06/2024] Open
Abstract
White matter hyperintensities index structural abnormalities in the cerebral white matter, including axonal damage. The latter may promote atrophy of the cerebral cortex, a key feature of dementia. Here, we report a study of 51,065 individuals from 10 cohorts demonstrating that higher white matter hyperintensity volume associates with lower cortical thickness. The meta-GWAS of white matter hyperintensities-associated cortical 'atrophy' identifies 20 genome-wide significant loci, and enrichment in genes specific to vascular cell types, astrocytes, and oligodendrocytes. White matter hyperintensities-associated cortical 'atrophy' showed positive genetic correlations with vascular-risk traits and plasma biomarkers of neurodegeneration, and negative genetic correlations with cognitive functioning. 15 of the 20 loci regulated the expression of 54 genes in the cerebral cortex that, together with their co-expressed genes, were enriched in biological processes of axonal cytoskeleton and intracellular transport. The white matter hyperintensities-cortical thickness associations were most pronounced in cortical regions with higher expression of genes specific to excitatory neurons with long-range axons traversing through the white matter. The meta-GWAS-based polygenic risk score predicts vascular and all-cause dementia in an independent sample of 500,348 individuals. Thus, the genetics of white matter hyperintensities-related cortical atrophy involves vascular and neuronal processes and increases dementia risk.
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Affiliation(s)
- Yash Patel
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Jean Shin
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Eeva Sliz
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Ariana Tang
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Aniket Mishra
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France
| | - Rui Xia
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Edith Hofer
- Institut für Medizinische Informatik, Statistik und Dokumentation, Graz, Austria
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Hema Sekhar Reddy Rajula
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France
| | - Ruiqi Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Frauke Beyer
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Katrin Horn
- Institute for Medical Informatics, Statistics and Epidemiology; Leipzig University, Leipzig, Germany
| | - Max Riedl
- Institute for Medical Informatics, Statistics and Epidemiology; Leipzig University, Leipzig, Germany
| | - Jing Yu
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Thomas H Mosley
- The MIND Center, The University of Mississippi Medical Center, Jackson, MS, USA
| | - Vincent Bouteloup
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France
- CHU Bordeaux, CIC 1401 EC, Pôle Santé Publique, Bordeaux, France
| | - Jean-Charles Lambert
- U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, INSERM, CHU Lille, Institut Pasteur de Lille, University of Lille, Lille, France
| | - Geneviève Chêne
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France
- Department of Public Health, CHU de Bordeaux, Bordeaux, France
| | - Carole Dufouil
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France
| | - Christophe Tzourio
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France
- Department of Public Health, CHU de Bordeaux, Bordeaux, France
| | | | - Rebecca F Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, Bethesda, Maryland, USA
| | - Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Reinhold Schmidt
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Veronica Witte
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology; Leipzig University, Leipzig, Germany
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology; Leipzig University, Leipzig, Germany
- Leipzig Research Centre for Civilization Diseases; Leipzig University, Leipzig, Germany
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Hans J Grabe
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | | | - Stephanie Debette
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France
- Bordeaux University Hospital, Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux, France
| | - Tomas Paus
- Centre hospitalier universitaire Sainte-Justine, University of Montreal, Montreal, Canada.
- Departments of Psychiatry and Neuroscience, Faculty of Medicine, University of Montreal, Montreal, Canada.
- Department of Psychiatry, McGill University, Montreal, Canada.
- ECOGENE-21, Chicoutimi, Canada.
| | - Zdenka Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada.
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.
- Centre hospitalier universitaire Sainte-Justine, University of Montreal, Montreal, Canada.
- ECOGENE-21, Chicoutimi, Canada.
- Department of Pediatrics, Faculty of Medicine, University of Montreal, Montreal, Canada.
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4
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Liu H, Jing J, Jiang J, Wen W, Zhu W, Li Z, Pan Y, Cai X, Liu C, Zhou Y, Meng X, Wang Y, Li H, Jiang Y, Zheng H, Wang S, Niu H, Kochan N, Brodaty H, Wei T, Sachdev PS, Fan Y, Liu T, Wang Y. Exploring the link between brain topological resilience and cognitive performance in the context of aging and vascular risk factors: A cross-ethnicity population-based study. Sci Bull (Beijing) 2024; 69:2735-2744. [PMID: 38664095 DOI: 10.1016/j.scib.2024.04.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 02/08/2024] [Accepted: 04/07/2024] [Indexed: 09/09/2024]
Abstract
Brain aging is typically associated with a significant decline in cognitive performance. Vascular risk factors (VRF) and subsequent atherosclerosis (AS) play a major role in this process. Brain resilience reflects the brain's ability to withstand external perturbations, but the relationship of brain resilience with cognition during the aging process remains unclear. Here, we investigated how brain topological resilience (BTR) is associated with cognitive performance in the face of aging and vascular risk factors. We used data from two cross-ethnicity community cohorts, PolyvasculaR Evaluation for Cognitive Impairment and Vascular Events (PRECISE, n = 2220) and Sydney Memory and Ageing Study (MAS, n = 246). We conducted an attack simulation on brain structural networks based on k-shell decomposition and node degree centrality. BTR was defined based on changes in the size of the largest subgroup of the network during the simulation process. Subsequently, we explored the negative correlations of BTR with age, VRF, and AS, and its positive correlation with cognitive performance. Furthermore, using structural equation modeling (SEM), we constructed path models to analyze the directional dependencies among these variables, demonstrating that aging, AS, and VRF affect cognition by disrupting BTR. Our results also indicated the specificity of this metric, independent of brain volume. Overall, these findings underscore the supportive role of BTR on cognition during aging and highlight its potential application as an imaging marker for objective assessment of brain cognitive performance.
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Affiliation(s)
- Hao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Jing Jing
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
| | - Jiyang Jiang
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Wei Wen
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Wanlin Zhu
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Zixiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yuesong Pan
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, China
| | - Chang Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Yijun Zhou
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yilong Wang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Huaguang Zheng
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, China
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Nicole Kochan
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Henry Brodaty
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, China
| | - Perminder S Sachdev
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Yubo Fan
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China.
| | - Yongjun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
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5
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Abouzari M, Abiri A, Tawk K, Tsang C, Patel B, Khoshsar A, Djalilian HR. White Matter Hyperintensity in Patients with Sudden Sensorineural Hearing Loss. Diagnostics (Basel) 2024; 14:1109. [PMID: 38893635 PMCID: PMC11171904 DOI: 10.3390/diagnostics14111109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 05/20/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
OBJECTIVE To compare white matter hyperintensities (WMHs) on T2-weighted magnetic resonance imaging (MRI) of patients with sudden sensorineural hearing loss (SSNHL) and analyze subpopulations with age-matched controls. METHODS T2-weighted MRI scans of 150 patients with SSNHL were assessed for WMHs and compared with the data of 148 healthy age-matched adults. Assessments of WMHs included independent grading of deep white matter hyperintensities (DWMHs) and periventricular hyperintensities (PVHs). WMH severity was visually rated using the Fazekas and Mirsen scales by two independent observers. RESULTS Fazekas grades for PVHs (p < 0.001) and DWMHs (p < 0.001) of SSNHL patients were found to be significantly greater than those of healthy participants. The average Mirsen grades for DWMHs of healthy and SSNHL patients were evaluated to be 0.373 ± 0.550 and 2.140 ± 0.859, respectively. Mirsen grades for DWMHs of SSNHL patients were found to be significantly greater (p < 0.001) than those of healthy participants. The Mirsen scale was found to have higher sensitivity (p < 0.001) than the Fazekas scale in grading PVHs and DWMHs. No significant difference (p = 0.24) was found in specificities between the two scales. CONCLUSIONS Patients with sudden hearing loss have a much higher likelihood of having periventricular and deep white matter hyperintensities compared to age-matched controls. These findings indicate that sudden hearing loss patients are more likely to have microvascular changes in the brain, which may indicate a vascular and/or migraine origin to sudden sensorineural hearing loss.
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Affiliation(s)
- Mehdi Abouzari
- Department of Otolaryngology–Head and Neck Surgery, University of California, Irvine, CA 92697, USA
| | - Arash Abiri
- Department of Otolaryngology–Head and Neck Surgery, University of California, Irvine, CA 92697, USA
- Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA
| | - Karen Tawk
- Department of Otolaryngology–Head and Neck Surgery, University of California, Irvine, CA 92697, USA
| | - Cynthia Tsang
- Department of Otolaryngology–Head and Neck Surgery, University of California, Irvine, CA 92697, USA
| | - Beenish Patel
- Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA
| | - Avissa Khoshsar
- Department of Otolaryngology–Head and Neck Surgery, University of California, Irvine, CA 92697, USA
| | - Hamid R. Djalilian
- Department of Otolaryngology–Head and Neck Surgery, University of California, Irvine, CA 92697, USA
- Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA
- Department of Neurological Surgery, University of California, Irvine, CA 92697, USA
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6
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Shrestha S, Zhu X, London SJ, Sullivan KJ, Lutsey PL, Windham BG, Griswold ME, Mosley Jr TH. Association of Lung Function With Cognitive Decline and Incident Dementia in the Atherosclerosis Risk in Communities Study. Am J Epidemiol 2023; 192:1637-1646. [PMID: 37392093 PMCID: PMC11292409 DOI: 10.1093/aje/kwad140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/28/2023] [Accepted: 06/13/2023] [Indexed: 07/02/2023] Open
Abstract
We examined the associations between lung function and incident dementia and cognitive decline in 12,688 participants in the ARIC Study who provided lung function measurements in 1990-1992. Cognitive tests were administered up to 7 times, and dementia was ascertained through 2019. We used shared parameter models to jointly fit proportional hazard models and linear mixed-effect models to estimate lung-function-associated dementia rate and cognitive change, respectively. Higher forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) were associated with reduced dementia (n = 2,452 persons developed dementia); hazard ratios per 1-L increase in FEV1 and FVC were 0.79 (95% confidence interval (CI): 0.71, 0.89) and 0.81 (95% CI: 0.74, 0.89), respectively. Each 1-L increase in FEV1 and FVC was associated with a 0.08-standard deviation (SD) (95% CI: 0.05, 0.12) and a 0.05-SD (95% CI: 0.02, 0.07) attenuation of 30-year cognitive decline, respectively. A 1% increase in FEV1/FVC ratio was associated with 0.008-SD (95% CI: 0.004, 0.012) less cognitive decline. We observed statistical interaction between FEV1 and FVC, suggesting that cognitive declines depended on values of specific FEV1 and FVC (as compared with FEV1, FVC, or FEV1/FVC ratio models that suggested linear incremental associations). Our findings may have important implications for reducing the burden of cognitive decline that is attributable to environmental exposures and associated lung function impairment.
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Affiliation(s)
- Srishti Shrestha
- Correspondence to Dr. Srishti Shrestha, Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216 (e-mail: )
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7
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Kindler C, Upadhyay N, Bendella Z, Dorn F, Keil VC, Petzold GC. Independent and additive contribution of white matter hyperintensities and Alzheimer's disease pathology to basal forebrain cholinergic system degeneration. Neuroimage Clin 2023; 39:103477. [PMID: 37478584 PMCID: PMC10387606 DOI: 10.1016/j.nicl.2023.103477] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/30/2023] [Accepted: 07/12/2023] [Indexed: 07/23/2023]
Abstract
OBJECTIVES Degeneration of the cholinergic basal forebrain nuclei (CBFN) system has been studied extensively in Alzheimer's disease (AD). White matter hyperintensities are a hallmark of aging as well as a common co-morbidity of AD, but their contribution to CBFN degeneration has remained unclear. Therefore, we explored the influence of white matter hyperintensities within cholinergic subcortical-cortical projection pathways on CBFN volumes and regional gray matter volumes in AD and age- and gender-matched controls. METHODS We analyzed magnetic resonance images (MRI) from 42 patients with AD and 87 age- and gender-matched control subjects. We assessed the white matter hyperintensity burden within the cholinergic projection pathways using the Cholinergic Pathways Hyperintensities Scale (CHIPS), and applied probabilistic anatomical maps for the analysis of CBFN volumes, i.e. the Ch1-3 compartment and the Ch4 cell group (nucleus basalis of Meynert), by diffeomorphic anatomical registration using exponentiated lie algebra analysis of voxel-based morphometry. Using multiple linear regression analyses, we explored correlations between regional gray matter volumes and the extent of white matter hyperintensities or CBFN volumes in both groups. RESULTS In AD, all CBFN volumes were significantly smaller than in controls, and white matter hyperintensity burden within the cholinergic projection pathways was not correlated with CBFN volume. In controls, white matter hyperintensity burden within the cholinergic projection pathways was inversely correlated with CBFN volume when corrected for sex and total intracranial volume, but this correlation was no longer significant after correction for age. Voxel-wise multiple linear regression analyses using threshold-free cluster enhancement revealed that in controls, cholinergic pathway hyperintensities correlated with gray matter loss in perisylvian areas, whereas the were no effects in AD. Moreover, we found that CBFN volumes correlated with distinct regional cortical atrophy patterns in both groups. CONCLUSION Our results indicate that white matter hyperintensities and AD pathology contribute independently but additively to the degeneration of cholinergic basal forebrain structures. Whereas AD is primarily associated with CBFN volume loss, cholinergic degeneration associated with white matter hyperintensities appears to involve disruption of cholinergic cortical projection fibers with less pronounced effects on CBFN volumes.
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Affiliation(s)
- Christine Kindler
- Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany
| | - Neeraj Upadhyay
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany; Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Zeynep Bendella
- Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Franziska Dorn
- Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Vera C Keil
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Gabor C Petzold
- Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany.
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8
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Alban SL, Lynch KM, Ringman JM, Toga AW, Chui HC, Sepehrband F, Choupan J. The association between white matter hyperintensities and amyloid and tau deposition. Neuroimage Clin 2023; 38:103383. [PMID: 36965457 PMCID: PMC10060905 DOI: 10.1016/j.nicl.2023.103383] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 02/09/2023] [Accepted: 03/16/2023] [Indexed: 03/22/2023]
Abstract
White matter hyperintensities (WMHs) frequently occur in Alzheimer's Disease (AD) and have a contribution from ischemia, though their relationship with β-amyloid and cardiovascular risk factors (CVRFs) is not completely understood. We used AT classification to categorize individuals based on their β-amyloid and tau pathologies, then assessed the effects of β-amyloid and tau on WMH volume and number. We then determined regions in which β-amyloid and WMH accumulation were related. Last, we analyzed the effects of various CVRFs on WMHs. As secondary analyses, we observed effects of age and sex differences, atrophy, cognitive scores, and APOE genotype. PET, MRI, FLAIR, demographic, and cardiovascular health data was collected from the Alzheimer's Disease Neuroimaging Initiative (ADNI-3) (N = 287, 48 % male). Participants were categorized as A + and T + if their Florbetapir SUVR and Flortaucipir SUVR were above 0.79 and 1.25, respectively. WMHs were mapped on MRI using a deep convolutional neural network (Sepehrband et al., 2020). CVRF scores were based on history of hypertension, systolic and diastolic blood pressure, pulse rate, respiration rate, BMI, and a cumulative score with 6 being the maximum score. Regression models and Pearson correlations were used to test associations and correlations between variables, respectively, with age, sex, years of education, and scanner manufacturer as covariates of no interest. WMH volume percent was significantly associated with global β-amyloid (r = 0.28, p < 0.001), but not tau (r = 0.05, p = 0.25). WMH volume percent was higher in individuals with either A + or T + pathology compared to controls, particularly within in the A+/T + group (p = 0.007, Cohen's d = 0.4, t = -2.5). Individual CVRFs nor cumulative CVRF scores were associated with increased WMH volume. Finally, the regions where β-amyloid and WMH count were most positively associated were the middle temporal region in the right hemisphere (r = 0.18, p = 0.002) and the fusiform region in the left hemisphere (r = 0.017, p = 0.005). β-amyloid and WMH have a clear association, though the mechanism facilitating this association is still not fully understood. The associations found between β-amyloid and WMH burden emphasizes the relationship between β-amyloid and vascular lesion formation while factors like CVRFs, age, and sex affect AD development through various mechanisms. These findings highlight potential causes and mechanisms of AD as targets for future preventions and treatments. Going forward, a larger emphasis may be placed on β-amyloid's vascular effects and the implications of impaired brain clearance in AD.
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Affiliation(s)
- Sierra L Alban
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kirsten M Lynch
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - John M Ringman
- Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Arthur W Toga
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Helena C Chui
- Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Farshid Sepehrband
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jeiran Choupan
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; NeuroScope Inc., Scarsdale, NY, USA
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9
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Alanko V, Gaminde-Blasco A, Quintela-López T, Loera-Valencia R, Solomon A, Björkhem I, Cedazo-Minguez A, Maioli S, Tabacaru G, Latorre-Leal M, Matute C, Kivipelto M, Alberdi E, Sandebring-Matton A. 27-hydroxycholesterol promotes oligodendrocyte maturation: Implications for hypercholesterolemia-associated brain white matter changes. Glia 2023; 71:1414-1428. [PMID: 36779429 DOI: 10.1002/glia.24348] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 01/19/2023] [Accepted: 01/23/2023] [Indexed: 02/14/2023]
Abstract
Oxidized cholesterol metabolite 27-hydroxycholesterol (27-OH) is a potential link between hypercholesterolemia and neurodegenerative diseases since unlike peripheral cholesterol, 27-OH is transported across the blood-brain barrier. However, the effects of high 27-OH levels on oligodendrocyte function remain unexplored. We hypothesize that during hypercholesterolemia 27-OH may impact oligodendrocytes and myelin and thus contribute to the disconnection of neural networks in neurodegenerative diseases. To test this idea, we first investigated the effects of 27-OH in cultured oligodendrocytes and found that it induces cell death of immature O4+ /GalC+ oligodendrocytes along with stimulating differentiation of PDGFR+ oligodendrocyte progenitors (OPCs). Next, transgenic mice with increased systemic 27-OH levels (Cyp27Tg) underwent behavioral testing and their brains were immunohistochemically stained and lysed for immunoblotting. Chronic exposure to 27-OH in mice resulted in increased myelin basic protein (MBP) but not 2',3'-cyclic-nucleotide 3'-phosphodiesterase (CNPase) or myelin oligodendrocyte glycoprotein (MOG) levels in the corpus callosum and cerebral cortex. Intriguingly, we also found impairment of spatial learning suggesting that subtle changes in myelinated axons of vulnerable areas like the hippocampus caused by 27-OH may contribute to impaired cognition. Finally, we found that 27-OH levels in cerebrospinal fluid from memory clinic patients were associated with levels of the myelination regulating CNPase, independently of Alzheimer's disease markers. Thus, 27-OH promotes OPC differentiation and is toxic to immature oligodendrocytes as well as it subtly alters myelin by targeting oligodendroglia. Taken together, these data indicate that hypercholesterolemia-derived higher 27-OH levels change the oligodendrocytic capacity for appropriate myelin remodeling which is a crucial factor in neurodegeneration and aging.
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Affiliation(s)
- Vilma Alanko
- Division of Clinical Geriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden.,Division of Neurogeriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden
| | - Adhara Gaminde-Blasco
- Department of Neuroscience, University of Basque Country (UPV/EHU) and CIBERNED, Leioa, Spain.,Achucarro Basque Center for Neuroscience, Leioa, Spain
| | - Tania Quintela-López
- Department of Neuroscience, University of Basque Country (UPV/EHU) and CIBERNED, Leioa, Spain.,Achucarro Basque Center for Neuroscience, Leioa, Spain
| | - Raúl Loera-Valencia
- Division of Neurogeriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden
| | - Alina Solomon
- Division of Clinical Geriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden.,Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland.,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
| | - Ingemar Björkhem
- Department of Laboratory Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Angel Cedazo-Minguez
- Division of Neurogeriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden
| | - Silvia Maioli
- Division of Neurogeriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden
| | - Graziella Tabacaru
- Division of Neurogeriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden
| | - María Latorre-Leal
- Division of Neurogeriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden
| | - Carlos Matute
- Department of Neuroscience, University of Basque Country (UPV/EHU) and CIBERNED, Leioa, Spain.,Achucarro Basque Center for Neuroscience, Leioa, Spain
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden.,Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland.,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Elena Alberdi
- Department of Neuroscience, University of Basque Country (UPV/EHU) and CIBERNED, Leioa, Spain.,Achucarro Basque Center for Neuroscience, Leioa, Spain
| | - Anna Sandebring-Matton
- Division of Clinical Geriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden.,Division of Neurogeriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden.,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
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10
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Escher CE, Asken BM, Bunte AV, Fonseca C, You M, Kramer JH, Casaletto KB. Roles of physical activity and diet in cognitive aging: is more better? Clin Neuropsychol 2023; 37:286-303. [PMID: 35403566 PMCID: PMC10593423 DOI: 10.1080/13854046.2022.2060867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 03/28/2022] [Indexed: 01/28/2023]
Abstract
Objective: To determine the synergistic effects of nutrition, specifically adherence to the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet, and physical activity on cognition and brain outcomes in a cross-sectional healthy aging cohort. Methods: A total of 132 adults (age range 52-91; Clinical Dementia Rating = 0) from the UCSF Brain Aging Project completed a 15-item MIND diet food frequency questionnaire and an 11-item self-report measure of weekly physical activity (Physical Activity Scale [PASE]). Cognitive outcomes included executive functioning, episodic memory, and language. Neuroimaging outcomes consisted of total grey matter volume and total white matter volume, adjusted for total intracranial volumes. All regression interaction models adjusted for age, sex, education, and a composite vascular burden score. Results: There was a significant interaction between PASE and MIND on executive functioning and total grey matter volume. Low levels of both related to disproportionately poorer cognitive and brain structural outcomes. Increasing levels of either, but not both, PASE or MIND related to better executive functioning and gray matter outcomes. For memory, language, and total white matter volume, the interaction between PASE and MIND showed the same directionality but did not reach statistical significance. Conclusions: Higher levels of physical activity associated with better executive functioning and gray matter volume, particularly when diet was poor. Similarly, higher levels of MIND diet adherence were associated with better brain and cognitive outcomes when physical activity was low. However, highest levels of physical activity and MIND diet together did not necessarily lead to disproportionately better cognitive and brain volume outcomes.
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Affiliation(s)
- Catherine E. Escher
- University of California San Francisco
- Zuckerberg San Francisco General Hospital
- Palo Alto University
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11
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Dang M, Sang F, Long S, Chen Y. The Aging Patterns of Brain Structure, Function, and Energy Metabolism. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1419:85-97. [PMID: 37418208 DOI: 10.1007/978-981-99-1627-6_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
The normal aging process brings changes in brain structure, function, and energy metabolism, which are presumed to contribute to the age-related decline in brain function and cognitive ability. This chapter aims to summarize the aging patterns of brain structure, function, and energy metabolism to distinguish them from the pathological changes associated with neurodegenerative diseases and explore protective factors in aging. We first described the normal atrophy pattern of cortical gray matter with age, which is negatively affected by some neurodegenerative diseases and is protected by a healthy lifestyle, such as physical exercise. Next, we summarized the main types of age-related white matter lesions, including white matter atrophy and hyperintensity. Age-related white matter changes mainly occurred in the frontal lobe, and white matter lesions in posterior regions may be an early sign of Alzheimer's disease. In addition, the relationship between brain activity and various cognitive functions during aging was discussed based on electroencephalography, magnetoencephalogram, and functional magnetic resonance imaging. An age-related reduction in occipital activity is coupled with increased frontal activity, which supports the posterior-anterior shift in aging (PASA) theory. Finally, we discussed the relationship between amyloid-β deposition and tau accumulation in the brain, as pathological manifestations of neurodegenerative disease and aging.
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Affiliation(s)
- Mingxi Dang
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, China
| | - Feng Sang
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, China
| | - Shijie Long
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, China.
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, China.
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12
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Choi J, Kim JY, Kwon HJ, Choi HJ, Kim SH, Kim S, Lee J, Park JE. Association of cerebral white matter hyperintensities with coronary artery calcium in a healthy population: a cross-sectional study. Sci Rep 2022; 12:21562. [PMID: 36513747 PMCID: PMC9747792 DOI: 10.1038/s41598-022-25654-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022] Open
Abstract
In brain magnetic resonance imaging (MRI), white matter hyperintensity (WMH) is a commonly encountered finding and is known to reflect cerebral small vessel disease. The aim of our study was to investigate the association of coronary artery calcium (CAC) with WMH and elucidate the relationship between WMH and atherosclerotic risk factors in a large-scale healthy population. This retrospective study included 1337 individuals who underwent brain MRI and CAC scoring computed tomography at healthcare centers affiliated with a tertiary hospital. Cerebral WMH was defined as Fazekas score greater than 2 on brain MRI. Intracranial artery stenosis (ICAS) was also assessed and determined to be present when stenosis was more than 50% on angiography. The associations of risk factors, CAC score, and ICAS with cerebral WMH were assessed by multivariable regression analysis. In multivariable analysis, categories of higher CAC scores showed increased associations with both periventricular and deep WMHs in a dose-dependent relationship. The presence of ICAS was also significantly related to cerebral WMH, and among the clinical variables, age and hypertension were independent risk factors. In conclusion, CAC showed a significant association with cerebral WMH in a healthy population, which might provide evidence for referring to the CAC score to identify individuals with risk of cerebral WMH.
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Affiliation(s)
- Jinyoung Choi
- grid.264381.a0000 0001 2181 989XDepartment of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, 03181 Republic of Korea
| | - Jung Youn Kim
- grid.410886.30000 0004 0647 3511Department of Radiology, CHA Bundang Medical Center, CHA University, Seongnam, Gyeonggi-Do 13496 Republic of Korea
| | - Heon-Ju Kwon
- grid.264381.a0000 0001 2181 989XDepartment of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, 03181 Republic of Korea
| | - Hye Jeong Choi
- grid.410886.30000 0004 0647 3511Department of Radiology, CHA Bundang Medical Center, CHA University, Seongnam, Gyeonggi-Do 13496 Republic of Korea
| | - Sang Heum Kim
- grid.410886.30000 0004 0647 3511Department of Radiology, CHA Bundang Medical Center, CHA University, Seongnam, Gyeonggi-Do 13496 Republic of Korea
| | - Sinae Kim
- grid.264381.a0000 0001 2181 989XDivision of Biostatistics, Department of R&D Management, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, 03181 Republic of Korea
| | - Jungbin Lee
- grid.412678.e0000 0004 0634 1623Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Gyeonggi-Do 14584 Republic of Korea
| | - Ji Eun Park
- grid.413967.e0000 0001 0842 2126Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505 Republic of Korea
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13
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Zhao MY, Woodward A, Fan AP, Chen KT, Yu Y, Chen DY, Moseley ME, Zaharchuk G. Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques . J Cereb Blood Flow Metab 2022; 42:700-717. [PMID: 34806918 PMCID: PMC9254040 DOI: 10.1177/0271678x211056702] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Cerebrovascular reactivity (CVR), the capacity of the brain to increase cerebral blood flow (CBF) to meet changes in physiological demand, is an important biomarker to evaluate brain health. Typically, this brain "stress test" is performed by using a medical imaging modality to measure the CBF change between two states: at baseline and after vasodilation. However, since there are many imaging modalities and many ways to augment CBF, a wide range of CVR values have been reported. An understanding of CVR reproducibility is critical to determine the most reliable methods to measure CVR as a clinical biomarker. This review focuses on CVR reproducibility studies using neuroimaging techniques in 32 articles comprising 427 total subjects. The literature search was performed in PubMed, Embase, and Scopus. The review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We identified 5 factors of the experimental subjects (such as sex, blood characteristics, and smoking) and 9 factors of the measuring technique (such as the imaging modality, the type of the vasodilator, and the quantification method) that have strong effects on CVR reproducibility. Based on this review, we recommend several best practices to improve the reproducibility of CVR quantification in neuroimaging studies.
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Affiliation(s)
- Moss Y Zhao
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Amanda Woodward
- Lane Medical Library, Stanford University, Stanford, CA, USA
| | - Audrey P Fan
- Department of Biomedical Engineering, University of California Davis, Davis, CA, USA.,Department of Neurology, University of California Davis, Davis, CA, USA
| | - Kevin T Chen
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Yannan Yu
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - David Y Chen
- Department of Medical Imaging, Taipei Medical University - Shuan-Ho Hospital, New Taipei City.,Department of Radiology, School of Medicine, Taipei Medical University, Taipei *Research materials supporting this publication can be accessed at https://doi.org/10.25740/hd852bg4538
| | | | - Greg Zaharchuk
- Department of Radiology, Stanford University, Stanford, CA, USA
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14
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Beck D, de Lange AG, Pedersen ML, Alnæs D, Maximov II, Voldsbekk I, Richard G, Sanders A, Ulrichsen KM, Dørum ES, Kolskår KK, Høgestøl EA, Steen NE, Djurovic S, Andreassen OA, Nordvik JE, Kaufmann T, Westlye LT. Cardiometabolic risk factors associated with brain age and accelerate brain ageing. Hum Brain Mapp 2022; 43:700-720. [PMID: 34626047 PMCID: PMC8720200 DOI: 10.1002/hbm.25680] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 09/02/2021] [Accepted: 09/25/2021] [Indexed: 11/17/2022] Open
Abstract
The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with dementia and other brain disorders. In this mixed cross-sectional and longitudinal study (interval mean = 19.7 months), including 790 healthy individuals (mean age = 46.7 years, 53% women), we investigated CMRs and health indicators including anthropometric measures, lifestyle factors, and blood biomarkers in relation to brain structure using MRI-based morphometry and diffusion tensor imaging (DTI). We performed tissue specific brain age prediction using machine learning and performed Bayesian multilevel modeling to assess changes in each CMR over time, their respective association with brain age gap (BAG), and their interaction effects with time and age on the tissue-specific BAGs. The results showed credible associations between DTI-based BAG and blood levels of phosphate and mean cell volume (MCV), and between T1-based BAG and systolic blood pressure, smoking, pulse, and C-reactive protein (CRP), indicating older-appearing brains in people with higher cardiometabolic risk (smoking, higher blood pressure and pulse, low-grade inflammation). Longitudinal evidence supported interactions between both BAGs and waist-to-hip ratio (WHR), and between DTI-based BAG and systolic blood pressure and smoking, indicating accelerated ageing in people with higher cardiometabolic risk (smoking, higher blood pressure, and WHR). The results demonstrate that cardiometabolic risk factors are associated with brain ageing. While randomized controlled trials are needed to establish causality, our results indicate that public health initiatives and treatment strategies targeting modifiable cardiometabolic risk factors may also improve risk trajectories and delay brain ageing.
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Affiliation(s)
- Dani Beck
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Ann‐Marie G. de Lange
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- LREN, Centre for Research in Neurosciences‐Department of Clinical NeurosciencesCHUV and University of LausanneLausanneSwitzerland
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - Mads L. Pedersen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Bjørknes CollegeOsloNorway
| | - Ivan I. Maximov
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Department of Health and FunctioningWestern Norway University of Applied SciencesBergenNorway
| | - Irene Voldsbekk
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
| | - Geneviève Richard
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
| | - Anne‐Marthe Sanders
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Kristine M. Ulrichsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Erlend S. Dørum
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Knut K. Kolskår
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Einar A. Høgestøl
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
| | - Nils Eiel Steen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
| | - Srdjan Djurovic
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| | | | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of Psychiatry and PsychotherapyUniversity of TübingenTubingenGermany
| | - Lars T. Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
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15
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Keller JA, Kant IM, Slooter AJ, van Montfort SJ, van Buchem MA, van Osch MJ, Hendrikse J, de Bresser J. Different cardiovascular risk factors are related to distinct white matter hyperintensity MRI phenotypes in older adults. NEUROIMAGE: CLINICAL 2022; 35:103131. [PMID: 36002958 PMCID: PMC9421504 DOI: 10.1016/j.nicl.2022.103131] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 07/09/2022] [Accepted: 07/27/2022] [Indexed: 11/26/2022] Open
Abstract
White matter hyperintensity (WMH) shape: a novel, advanced MRI marker. Hypertension correlates with a more irregular shape of periventricular/confluent WMH. Different cardiovascular/pathological mechanisms lead to distinct WMH MRI phenotypes.
The underlying mechanisms of the association between cardiovascular risk factors and a higher white matter hyperintensity (WMH) burden are unknown. We investigated the association between cardiovascular risk factors and advanced WMH markers in 155 non-demented older adults (mean age: 71 ± 5 years). The association between cardiovascular risk factors and quantitative MRI-based WMH shape and volume markers were examined using linear regression analysis. Presence of hypertension was associated with a more irregular shape of periventricular/confluent WMH (convexity (B (95 % CI)): −0.12 (−0.22–−0.03); concavity index: 0.06 (0.02–0.11)), but not with total WMH volume (0.22 (−0.15–0.59)). Presence of diabetes was associated with deep WMH volume (0.89 (0.15–1.63)). Body mass index or hyperlipidemia showed no association with WMH markers. In conclusion, different cardiovascular risk factors seem to be related to a distinct pattern of WMH shape markers in non-demented older adults. These findings may suggest that different underlying cardiovascular pathological mechanisms lead to different WMH MRI phenotypes, which may be valuable for early detection of individuals at risk for stroke and dementia.
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16
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Spilling CA, Dhillon MPK, Burrage DR, Ruickbie S, Baker EH, Barrick TR, Jones PW. Factors affecting brain structure in smoking-related diseases: Chronic Obstructive Pulmonary Disease (COPD) and coronary artery disease. PLoS One 2021; 16:e0259375. [PMID: 34739504 PMCID: PMC8570465 DOI: 10.1371/journal.pone.0259375] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 10/18/2021] [Indexed: 11/24/2022] Open
Abstract
Background Changes in brain structure and cognitive decline occur in Chronic Obstructive Pulmonary Disease (COPD). They also occur with smoking and coronary artery disease (CAD), but it is unclear whether a common mechanism is responsible. Methods Brain MRI markers of brain structure were tested for association with disease markers in other organs. Where possible, principal component analysis (PCA) was used to group markers within organ systems into composite markers. Univariate relationships between brain structure and the disease markers were explored using hierarchical regression and then entered into multivariable regression models. Results 100 participants were studied (53 COPD, 47 CAD). PCA identified two brain components: brain tissue volumes and white matter microstructure, and six components from other organ systems: respiratory function, plasma lipids, blood pressure, glucose dysregulation, retinal vessel calibre and retinal vessel tortuosity. Several markers could not be grouped into components and were analysed as single variables, these included brain white matter hyperintense lesion (WMH) volume. Multivariable regression models showed that less well organised white matter microstructure was associated with lower respiratory function (p = 0.028); WMH volume was associated with higher blood pressure (p = 0.036) and higher C-Reactive Protein (p = 0.011) and lower brain tissue volume was associated with lower cerebral blood flow (p<0.001) and higher blood pressure (p = 0.001). Smoking history was not an independent correlate of any brain marker. Conclusions Measures of brain structure were associated with a range of markers of disease, some of which appeared to be common to both COPD and CAD. No single common pathway was identified, but the findings suggest that brain changes associated with smoking-related diseases may be due to vascular, respiratory, and inflammatory changes.
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Affiliation(s)
- Catherine A Spilling
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom
| | - Mohani-Preet K Dhillon
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom
| | - Daniel R Burrage
- Institute for Infection and Immunity, St George's University of London, London, United Kingdom
| | - Sachelle Ruickbie
- Respiratory Medicine, St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Emma H Baker
- Institute for Infection and Immunity, St George's University of London, London, United Kingdom
| | - Thomas R Barrick
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom
| | - Paul W Jones
- Institute for Infection and Immunity, St George's University of London, London, United Kingdom
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17
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Jung Y, Viviano RP, van Rooden S, van der Grond J, Rombouts SARB, Damoiseaux JS. White Matter Hyperintensities and Apolipoprotein E Affect the Association Between Mean Arterial Pressure and Objective and Subjective Cognitive Functioning in Older Adults. J Alzheimers Dis 2021; 84:1337-1350. [PMID: 34657884 DOI: 10.3233/jad-210695] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND White matter hyperintensities (WMH) show a robust relationship with arterial pressure as well as objective and subjective cognitive functioning. In addition, APOE ɛ4 carriership may influence how arterial pressure affects cognitive functioning. OBJECTIVE To determine the role of region-specific WMH burden and APOE ɛ4 carriership on the relationship between mean arterial pressure (MAP) and cognitive function as well as subjective cognitive decline (SCD). METHODS The sample consisted of 87 cognitively unimpaired middle-aged to older adults aged 50-85. We measured WMH volume for the whole brain, anterior thalamic radiation (ATR), forceps minor, and superior longitudinal fasciculus (SLF). We examined whether WMH burden mediated the relationship between MAP and cognition (i.e., TMT-A score for processing speed; Stroop performance for executive function) as well as SCD (i.e., Frequency of Forgetting (FoF)), and whether APOE ɛ4 carriership moderated that mediation. RESULTS WMH burden within SLF mediated the effect of MAP on Stroop performance. Both whole brain and ATR WMH burden mediated the effect of MAP on FoF score. In the MAP-WMH-Stroop relationship, the mediation effect of SLF WMH and the effect of MAP on SLF WMH were significant only in APOE ɛ4 carriers. In the MAP-WMH-FoF relationship, the effect of MAP on whole brain WMH burden was significant only in ɛ4 carriers. CONCLUSION WMH burden and APOE genotype explain the link between blood pressure and cognitive function and may enable a more accurate assessment of the effect of high blood pressure on cognitive decline and risk for dementia.
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Affiliation(s)
- Youjin Jung
- Department of Psychology, Wayne State University, Detroit, MI, USA.,Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | - Raymond P Viviano
- Department of Psychology, Wayne State University, Detroit, MI, USA.,Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Serge A R B Rombouts
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.,Institute of Psychology, Leiden University, Leiden, Netherlands
| | - Jessica S Damoiseaux
- Department of Psychology, Wayne State University, Detroit, MI, USA.,Institute of Gerontology, Wayne State University, Detroit, MI, USA
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18
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Medrano-Martorell S, Capellades J, Jiménez-Conde J, González-Ortiz S, Vilas-González M, Rodríguez-Campello A, Ois Á, Cuadrado-Godia E, Avellaneda C, Fernández I, Merino-Peña E, Roquer J, Martí-Fàbregas J, Giralt-Steinhauer E. Risk factors analysis according to regional distribution of white matter hyperintensities in a stroke cohort. Eur Radiol 2021; 32:272-280. [PMID: 34117555 DOI: 10.1007/s00330-021-08106-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/18/2021] [Accepted: 05/27/2021] [Indexed: 01/11/2023]
Abstract
OBJECTIVES The spectrum of distribution of white matter hyperintensities (WMH) may reflect different functional, histopathological, and etiological features. We examined the relationships between cerebrovascular risk factors (CVRF) and different patterns of WMH in MRI using a qualitative visual scale in ischemic stroke (IS) patients. METHODS We assembled clinical data and imaging findings from patients of two independent cohorts with recent IS. MRI scans were evaluated using a modified visual scale from Fazekas, Wahlund, and Van Swieten. WMH distributions were analyzed separately in periventricular (PV-WMH) and deep (D-WMH) white matter, basal ganglia (BG-WMH), and brainstem (B-WMH). Presence of confluence of PV-WMH and D-WMH and anterior-versus-posterior WMH predominance were also evaluated. Statistical analysis was performed with SPSS software. RESULTS We included 618 patients, with a mean age of 72 years (standard deviation [SD] 11 years). The most frequent WMH pattern was D-WMH (73%). In a multivariable analysis, hypertension was associated with PV-WMH (odds ratio [OR] 1.79, 95% confidence interval [CI] 1.29-2.50, p = 0.001) and BG-WMH (OR 2.13, 95% CI 1.19-3.83, p = 0.012). Diabetes mellitus was significantly related to PV-WMH (OR 1.69, 95% CI 1.24-2.30, p = 0.001), D-WMH (OR 1.46, 95% CI 1.07-1.49, p = 0.017), and confluence patterns of D-WMH and PV-WMH (OR 1.62, 95% CI 1.07-2.47, p = 0.024). Hyperlipidemia was found to be independently related to brainstem distribution (OR 1.70, 95% CI 1.08-2.69, p = 0.022). CONCLUSIONS Different CVRF profiles were significantly related to specific WMH spatial distribution patterns in a large IS cohort. KEY POINTS • An observational study of WMH in a large IS cohort was assessed by a modified visual evaluation. • Different CVRF profiles were significantly related to specific WMH spatial distribution patterns. • Distinct WMH anatomical patterns could be related to different pathophysiological mechanisms.
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Affiliation(s)
- Santiago Medrano-Martorell
- Department of Neuroradiology, Hospital Clínic i Provincial, Villarroel, 170, Barcelona, Spain.
- Department of Neuroradiology, Hospital del Mar, Department of Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
| | - Jaume Capellades
- Department of Neuroradiology, Hospital del Mar, Department of Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Jordi Jiménez-Conde
- Department of Neurology, Hospital del Mar; Neurovascular Research Group, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona (UAB)/DCEXS-Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Sofía González-Ortiz
- Department of Neuroradiology, Hospital Clínic i Provincial, Villarroel, 170, Barcelona, Spain
- Department of Neuroradiology, Hospital del Mar, Department of Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Marta Vilas-González
- Department of Neuroradiology, Hospital del Mar, Department of Medicine, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Ana Rodríguez-Campello
- Department of Neurology, Hospital del Mar; Neurovascular Research Group, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona (UAB)/DCEXS-Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Ángel Ois
- Department of Neurology, Hospital del Mar; Neurovascular Research Group, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona (UAB)/DCEXS-Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Elisa Cuadrado-Godia
- Department of Neurology, Hospital del Mar; Neurovascular Research Group, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona (UAB)/DCEXS-Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Carla Avellaneda
- Department of Neurology, Hospital del Mar; Neurovascular Research Group, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona (UAB)/DCEXS-Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Isabel Fernández
- Department of Neurology, Hospital del Mar; Neurovascular Research Group, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona (UAB)/DCEXS-Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Elisa Merino-Peña
- Department of Neuroradiology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Jaume Roquer
- Department of Neurology, Hospital del Mar; Neurovascular Research Group, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona (UAB)/DCEXS-Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Joan Martí-Fàbregas
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Eva Giralt-Steinhauer
- Department of Neurology, Hospital del Mar; Neurovascular Research Group, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona (UAB)/DCEXS-Universitat Pompeu Fabra (UPF), Barcelona, Spain
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19
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Grosu S, Lorbeer R, Hartmann F, Rospleszcz S, Bamberg F, Schlett CL, Galie F, Selder S, Auweter S, Heier M, Rathmann W, Mueller-Peltzer K, Ladwig KH, Peters A, Ertl-Wagner BB, Stoecklein S. White matter hyperintensity volume in pre-diabetes, diabetes and normoglycemia. BMJ Open Diabetes Res Care 2021; 9:9/1/e002050. [PMID: 34183320 PMCID: PMC8240582 DOI: 10.1136/bmjdrc-2020-002050] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 06/01/2021] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION As white matter hyperintensities (WMHs) of the brain are associated with an increased risk of stroke, cognitive decline, and depression, elucidating the associated risk factors is important. In addition to age and hypertension, pre-diabetes and diabetes may play important roles in the development of WMHs. Previous studies have, however, shown conflicting results. We aimed to investigate the effect of diabetes status and quantitative markers of glucose metabolism on WMH volume in a population-based cohort without prior cardiovascular disease. RESEARCH DESIGN AND METHODS 400 participants underwent 3 T MRI. WMHs were manually segmented on 3D fluid-attenuated inversion recovery images. An oral glucose tolerance test (OGTT) was administered to all participants not previously diagnosed with diabetes to assess 2-hour serum glucose concentrations. Fasting glucose concentrations and glycated hemoglobin (HbA1c) levels were measured. Zero-inflated negative binomial regression analyses of WMH volume and measures of glycemic status were performed while controlling for cardiovascular risk factors and multiple testing. RESULTS The final study population comprised 388 participants (57% male; age 56.3±9.2 years; n=98 with pre-diabetes, n=51 with diabetes). Higher WMH volume was associated with pre-diabetes (p=0.001) and diabetes (p=0.026) compared with normoglycemic control participants after adjustment for cardiovascular risk factors. 2-hour serum glucose (p<0.001), but not fasting glucose (p=0.389) or HbA1c (p=0.050), showed a significant positive association with WMH volume after adjustment for cardiovascular risk factors. CONCLUSION Our results indicate that high 2-hour serum glucose concentration in OGTT, but not fasting glucose levels, may be an independent risk factor for the development of WMHs, with the potential to inform intensified prevention strategies in individuals at risk of WMH-associated morbidity.
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Affiliation(s)
- Sergio Grosu
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Roberto Lorbeer
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Felix Hartmann
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Franziska Galie
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Sonja Selder
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Sigrid Auweter
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Katharina Mueller-Peltzer
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Karl-Heinz Ladwig
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Department of Psychosomatic Medicine and Psychotherapy, Hospital Rechts der Isar, Technical University Munich, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Birgit B Ertl-Wagner
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Sophia Stoecklein
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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20
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Butt A, Kamtchum-Tatuene J, Khan K, Shuaib A, Jickling GC, Miyasaki JM, Smith EE, Camicioli R. White matter hyperintensities in patients with Parkinson's disease: A systematic review and meta-analysis. J Neurol Sci 2021; 426:117481. [PMID: 33975191 DOI: 10.1016/j.jns.2021.117481] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/25/2021] [Accepted: 05/02/2021] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Mechanisms driving neurodegeneration in Parkinson's disease (PD) are unclear and neurovascular dysfunction may be a contributing factor. White matter hyperintensities (WMH) are commonly found on brain MRI in patients with PD. It is controversial if they are more prevalent or more severe in PD compared with controls. This systematic review aims to answer this question. METHODS A systematic search of electronic databases was conducted for studies of WMH in patients with PD. A qualitative synthesis was done for studies reporting WMH prevalence or WMH scores on a visual rating scale (VRS). In studies reporting total WMH volume, the difference between patients with PD and controls was pooled using random effects meta-analysis. RESULTS Among 3860 subjects from 24 studies, 2360 were cases and 1500 controls. Fifteen studies reported WMH scores and four studies reported the prevalence of WMH. On VRS, five studies reported no difference in WMH scores, three found higher WMH scores in PD compared to controls, three reported increased WMH scores either in periventricular or deep white matter, and four reported higher scores only in PD with dementia. In studies reporting WMH volume, there was no difference between patients with PD and controls (pooled standardized mean difference = 0.1, 95%CI: -0.1-0.4, I2 = 81%). CONCLUSION WMH are not more prevalent or severe in patients with PD than in age-matched controls. PD dementia may have more severe WMH compared to controls and PD with normal cognition. Prospective studies using standardized methods of WMH assessment are needed.
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Affiliation(s)
- Asif Butt
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada.
| | - Joseph Kamtchum-Tatuene
- Neuroscience and Mental Health Institute, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Khurshid Khan
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
| | - Ashfaq Shuaib
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
| | - Glen C Jickling
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
| | - Janis M Miyasaki
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada
| | - Richard Camicioli
- Department of Medicine, Division of Neurology, University of Alberta, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada
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21
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Byeon G, Byun MS, Yi D, Lee JH, Jeon SY, Ko K, Jung G, Lee JY, Kim YK, Lee YS, Kang KM, Sohn CH, Lee DY. Synergistic Effect of Serum Homocysteine and Diabetes Mellitus on Brain Alterations. J Alzheimers Dis 2021; 81:287-295. [PMID: 33749655 DOI: 10.3233/jad-210036] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Both elevated blood homocysteine and diabetes mellitus (DM) are related to cognitive impairments or dementia. A previous study also demonstrated that the association between homocysteine and cognitive decline was much stronger in individuals with DM than in those without DM. OBJECTIVE This study aimed to examine the interactive effect of blood homocysteine and DM on brain pathological changes including brain atrophy, amyloid-β and tau deposition, and small vessel disease (SVD) related to cognitive impairments. METHODS A total of 430 non-demented older adults underwent comprehensive clinical assessment, measurement of serum homocysteine level, [11C] Pittsburgh Compound B (PiB) PET, [18F] AV-1451 PET, and brain MRI. RESULTS The interactive effect of homocysteine with the presence of DM on brain atrophy, especially in aging-related brain regions, was significant. Higher homocysteine concentration was associated with more prominent brain atrophy in individuals with DM, but not in those without DM. In contrast, interaction effect of homocysteine and DM was found neither on Alzheimer's disease (AD) pathologies, including amyloid-β and tau deposition, nor white matter hyperintensity volume as a measure of SVD. CONCLUSION The present findings suggest that high blood homocysteine level and DM synergistically aggravate brain damage independently of AD and cerebrovascular disease. With regard to preventing dementia or cognitive decline in older adults, these results support the importance of strictly controlling blood glucose in individuals with hyperhomocysteinemia and lowering blood homocysteine level in those with DM.
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Affiliation(s)
- Gihwan Byeon
- Department of Neuropsychiatry, Kangwon National University Hospital, Chuncheon, Republic of Korea
| | - Min Soo Byun
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea
| | - Jun Ho Lee
- Department of Psychiatry, National Center for Mental Health, Seoul, Republic of Korea
| | - So Yeon Jeon
- Department of Neuropsychiatry, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Kang Ko
- Department of Psychiatry, National Center for Mental Health, Seoul, Republic of Korea
| | - Gijung Jung
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jun-Young Lee
- Department of Neuropsychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Yun-Sang Lee
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chul-Ho Sohn
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Dong Young Lee
- Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea.,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
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22
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Uddin N, Tivarus M, Adams H, Little E, Schifitto G, Lande MB. Magnetic Resonance Imaging in Childhood Primary Hypertension: Potential in the Study of Cognitive Outcomes. Hypertension 2021; 77:751-758. [PMID: 33566685 PMCID: PMC7880540 DOI: 10.1161/hypertensionaha.120.15242] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Primary hypertension in youth and young adulthood is associated with decreased neurocognitive test performance both in midlife and during youth itself, leading to concern of subsequent cognitive decline and dementia in later life. The early vascular effects of hypertension in youth are likely involved in the pathogenesis of hypertensive target organ damage to the brain, but the potential impact of antihypertensive treatment from youth on subsequent cognitive health is not known. This review will highlight the need to answer the question of whether treatment of hypertension from early in life would slow cognitive decline in adulthood, and will then outline, for the nonneurologist, magnetic resonance imaging techniques potentially useful in the study of the pathogenesis of decreased cognition in hypertensive youth and for use as potential biomarkers for early antihypertensive treatment interventions.
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Affiliation(s)
- Nasir Uddin
- Department of Neurology, University of Rochester,
Rochester, NY
| | - Madalina Tivarus
- Department of Imaging Sciences, University of Rochester,
Rochester, NY
- Department of Neuroscience, University of Rochester,
Rochester, NY
| | - Heather Adams
- Department of Neurology, University of Rochester,
Rochester, NY
- Department of Pediatrics, University of Rochester,
Rochester, NY
| | - Erika Little
- Department of Pediatrics, University of Rochester,
Rochester, NY
| | - Giovanni Schifitto
- Department of Neurology, University of Rochester,
Rochester, NY
- Department of Imaging Sciences, University of Rochester,
Rochester, NY
| | - Marc B. Lande
- Department of Pediatrics, University of Rochester,
Rochester, NY
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23
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Pahlavian SH, Wang X, Ma S, Zheng H, Casey M, D’Orazio LM, Shao X, Ringman JM, Chui H, Wang DJJ, Yan L. Cerebroarterial pulsatility and resistivity indices are associated with cognitive impairment and white matter hyperintensity in elderly subjects: A phase-contrast MRI study. J Cereb Blood Flow Metab 2021; 41:670-683. [PMID: 32501154 PMCID: PMC7922759 DOI: 10.1177/0271678x20927101] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 04/10/2020] [Accepted: 04/20/2020] [Indexed: 01/22/2023]
Abstract
Increased cerebroarterial pulsations are thought to be contributing factors in microvascular damage and cognitive impairment. In this study, we assessed the utility of two-dimensional (2D) phase-contrast MRI (PC-MRI) in quantifying cerebroarterial pulsations and evaluated the associations of pulsatile and non-pulsatile hemodynamic measures with cognitive performance and white matter hyperintensities (WMH). Neurocognitive assessments on 50 elderly subjects were performed using clinical dementia rating (CDR) and Montreal cognitive assessment (MoCA). An electrocardiogram-gated 2D PC-MRI sequence was used to calculate mean flow rate, pulsatility index (PI), and resistivity index (RI) of the internal carotid artery. For each subject, whole brain global cerebral blood flow (gCBF) and relative WMH volume were also quantified. Elevated RI was significantly associated with reduced cognitive performance quantified using MoCA (p = 0.04) and global CDR (p = 0.02). PI and RI were both significantly associated with relative WMH volume (p = 0.01, p < 0.01, respectively). However, non-pulsatile hemodynamic measures were not associated with cognitive impairment or relative WMH volume. This study showed that the cerebroarterial pulsatile measures obtained using PC-MRI have stronger association with the measures of cognitive impairment compared to global blood flow measurement and as such, might be useful as potential biomarkers of cerebrovascular dysfunction in preclinical populations.
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Affiliation(s)
- Soroush H Pahlavian
- USC Stevens Neuroimaging and
Informatics Institute, Keck School of Medicine, University of Southern
California, Los Angeles, CA, USA
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
| | - Xinhui Wang
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
| | - Samantha Ma
- USC Stevens Neuroimaging and
Informatics Institute, Keck School of Medicine, University of Southern
California, Los Angeles, CA, USA
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
| | - Hong Zheng
- USC Stevens Neuroimaging and
Informatics Institute, Keck School of Medicine, University of Southern
California, Los Angeles, CA, USA
| | - Marlena Casey
- USC Stevens Neuroimaging and
Informatics Institute, Keck School of Medicine, University of Southern
California, Los Angeles, CA, USA
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
| | - Lina M D’Orazio
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
| | - Xingfeng Shao
- USC Stevens Neuroimaging and
Informatics Institute, Keck School of Medicine, University of Southern
California, Los Angeles, CA, USA
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
| | - John M Ringman
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
| | - Helena Chui
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
| | - Danny JJ Wang
- USC Stevens Neuroimaging and
Informatics Institute, Keck School of Medicine, University of Southern
California, Los Angeles, CA, USA
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
| | - Lirong Yan
- USC Stevens Neuroimaging and
Informatics Institute, Keck School of Medicine, University of Southern
California, Los Angeles, CA, USA
- Department of Neurology, University
of Southern California, Los Angeles, CA, USA
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24
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Associated factors of white matter hyperintensity volume: a machine-learning approach. Sci Rep 2021; 11:2325. [PMID: 33504924 PMCID: PMC7840689 DOI: 10.1038/s41598-021-81883-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 01/11/2021] [Indexed: 01/08/2023] Open
Abstract
To identify the most important parameters associated with cerebral white matter hyperintensities (WMH), in consideration of potential collinearity, we used a data-driven machine-learning approach. We analysed two independent cohorts (KORA and SHIP). WMH volumes were derived from cMRI-images (FLAIR). 90 (KORA) and 34 (SHIP) potential determinants of WMH including measures of diabetes, blood-pressure, medication-intake, sociodemographics, life-style factors, somatic/depressive-symptoms and sleep were collected. Elastic net regression was used to identify relevant predictor covariates associated with WMH volume. The ten most frequently selected variables in KORA were subsequently examined for robustness in SHIP. The final KORA sample consisted of 370 participants (58% male; age 55.7 ± 9.1 years), the SHIP sample comprised 854 participants (38% male; age 53.9 ± 9.3 years). The most often selected and highly replicable parameters associated with WMH volume were in descending order age, hypertension, components of the social environment (i.e. widowed, living alone) and prediabetes. A systematic machine-learning based analysis of two independent, population-based cohorts showed, that besides age and hypertension, prediabetes and components of the social environment might play important roles in the development of WMH. Our results enable personal risk assessment for the development of WMH and inform prevention strategies tailored to the individual patient.
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25
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Anderson VC, Tagge IJ, Li X, Quinn JF, Kaye JA, Bourdette DN, Spain RI, Riccelli LP, Sammi MK, Springer CS, Rooney WD. Observation of Reduced Homeostatic Metabolic Activity and/or Coupling in White Matter Aging. J Neuroimaging 2020; 30:658-665. [PMID: 32558031 PMCID: PMC7529981 DOI: 10.1111/jon.12744] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/01/2020] [Accepted: 06/02/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND AND PURPOSE Transvascular water exchange plays a key role in the functional integrity of the blood-brain barrier (BBB). In white matter (WM), a variety of imaging modalities have demonstrated age-related changes in structure and metabolism, but the extent to which water exchange is altered remains unclear. Here, we investigated the cumulative effects of healthy aging on WM capillary water exchange. METHODS A total of 38 healthy adults (aged 36-80 years) were studied using 7T dynamic contrast enhanced MRI. Blood volume fraction (vb ) and capillary water efflux rate constant (kpo ) were determined by fitting changes in the 1 H2 O longitudinal relaxation rate constant (R1 ) during contrast agent bolus passage to a two-compartment exchange model. WM volume was determined by morphometric analysis of structural images. RESULTS R1 values and WM volume showed similar trajectories of age-related decline. Among all subjects, vb and kpo averaged 1.7 (±0.5) mL/100 g of tissue and 2.1 (±1.1) s-1 , respectively. While vb showed minimal changes over the 40-year-age span of participants, kpo declined 0.06 s-1 (ca. 3%) per year (r = -.66; P < .0005), from near 4 s-1 at age 30 to ca. 2 s-1 at age 70. The association remained significant after controlling for WM volume. CONCLUSIONS Previous studies have shown that kpo tracks Na+ , K+ -ATPase activity-dependent water exchange at the BBB and likely reflects neurogliovascular unit (NGVU) coupled metabolic activity. The age-related decline in kpo observed here is consistent with compromised NGVU metabolism in older individuals and the dysregulated cellular bioenergetics that accompany normal brain aging.
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Affiliation(s)
- Valerie C Anderson
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR
| | - Ian J Tagge
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR
| | - Xin Li
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR
| | - Joseph F Quinn
- Department of Neurology, Oregon Health & Science University, Portland, OR
| | - Jeffrey A Kaye
- Department of Neurology, Oregon Health & Science University, Portland, OR
| | - Dennis N Bourdette
- Department of Neurology, Oregon Health & Science University, Portland, OR
| | - Rebecca I Spain
- Department of Neurology, Oregon Health & Science University, Portland, OR
| | - Louis P Riccelli
- Diagnostic Radiology, Oregon Health & Science University, Portland, OR
| | - Manoj K Sammi
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR
| | - Charles S Springer
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR
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26
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Abstract
Although acute ischemic stroke remains one of the most common causes of death and disability worldwide, it is a potentially treatable condition if appropriately managed in a timely manner. The goals of acute stroke imaging include establishing a diagnosis as fast as possible with (1) accurate infarct quantification, (2) intracranial and cervical vasculature assessment, and (3) brain perfusion analysis for detection of infarct core and potentially salvageable penumbra allowing optimal patient selection for appropriate therapy. Given the extensive number of images generated from acute stroke imaging studies and as "time is brain," this article aims to highlight a logical approach for the radiologist in acute stroke computed tomography imaging in order to accurately interpret and communicate results in a timely manner.
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Affiliation(s)
- D Byrne
- Division of Neuroradiology, Vancouver General Hospital, Vancouver, British Columbia, Canada
- University of British Columbia, Vancouver, British Columbia, Canada
| | - J P Walsh
- University of British Columbia, Vancouver, British Columbia, Canada
- Division of Emergency Radiology, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - G Sugrue
- University of British Columbia, Vancouver, British Columbia, Canada
- Division of Emergency Radiology, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - S Nicolaou
- University of British Columbia, Vancouver, British Columbia, Canada
- Division of Emergency Radiology, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - A Rohr
- Division of Neuroradiology, Vancouver General Hospital, Vancouver, British Columbia, Canada
- University of British Columbia, Vancouver, British Columbia, Canada
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27
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Elkhatib TH, Elsaid AF, Al-Molla RM, Khamis ME, Fahmi RM. Prevalence and Associated Risk Factors of Cerebral Microbleeds in Egyptian Patients with Acute Ischemic Stroke and Atrial Fibrillation. J Stroke Cerebrovasc Dis 2020; 29:104703. [DOI: 10.1016/j.jstrokecerebrovasdis.2020.104703] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 01/24/2020] [Accepted: 01/25/2020] [Indexed: 11/29/2022] Open
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28
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Wei J, Palta P, Meyer ML, Kucharska-Newton A, Pence BW, Aiello AE, Power MC, Walker KA, Sharrett AR, Tanaka H, Jack CR, Mosley TH, Reid RI, Reyes DA, Heiss G. Aortic Stiffness and White Matter Microstructural Integrity Assessed by Diffusion Tensor Imaging: The ARIC-NCS. J Am Heart Assoc 2020; 9:e014868. [PMID: 32157957 PMCID: PMC7335527 DOI: 10.1161/jaha.119.014868] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Background Changes in white matter microstructural integrity are detectable before appearance of white matter lesions on magnetic resonance imaging as a manifestation of cerebral small‐vessel disease. The information relating poor white matter microstructural integrity to aortic stiffness, a hallmark of aging, is limited. We aimed to examine the association between aortic stiffness and white matter microstructural integrity among older adults. Methods and Results We conducted a cross‐sectional study to examine the association between aortic stiffness and white matter microstructural integrity among 1484 men and women (mean age, 76 years) at the 2011 to 2013 examination of the ARIC‐NCS (Atherosclerosis Risk in Communities Neurocognitive Study). Aortic stiffness was measured as carotid‐femoral pulse wave velocity. Cerebral white matter microstructural integrity was measured as fractional anisotropy and mean diffusivity using diffusion tensor imaging. Multivariable linear regression was used to examine the associations of carotid‐femoral pulse wave velocity with fractional anisotropy and mean diffusivity of the overall cerebrum and at regions of interest. Each 1‐m/s higher carotid‐femoral pulse wave velocity was associated with lower overall fractional anisotropy (β=−0.03; 95% CI, −0.05 to −0.02) and higher overall mean diffusivity (β=0.03; 95% CI, 0.02–0.04). High carotid‐femoral pulse wave velocity (upper 25th percentile) was associated with lower fractional anisotropy (β=−0.40; 95% CI, −0.61 to −0.20) and higher overall mean diffusivity (β=0.27; 95% CI, 0.10–0.43). Similar associations were observed at individual regions of interest. Conclusions High aortic stiffness is associated with low cerebral white matter microstructural integrity among older adults. Aortic stiffness may serve as a target for the prevention of poor cerebral white matter microstructural integrity.
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Affiliation(s)
- Jingkai Wei
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC
| | - Priya Palta
- School of Medicine Columbia University New York NY.,Department of Epidemiology Mailman School of Public Health Columbia University New York NY
| | - Michelle L Meyer
- Department of Emergency Medicine School of Medicine University of North Carolina at Chapel Hill Chapel Hill NC
| | - Anna Kucharska-Newton
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC.,Department of Epidemiology College of Public Health University of Kentucky Lexington KY
| | - Brian W Pence
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC
| | - Allison E Aiello
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC
| | - Melinda C Power
- Department of Epidemiology and Biostatistics Milken Institute School of Public Health Washington DC
| | - Keenan A Walker
- Department of Neurology Johns Hopkins University Baltimore MD
| | - A Richey Sharrett
- Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD
| | - Hirofumi Tanaka
- Department of Kinesiology and Health Education University of Texas at Austin TX
| | | | | | - Robert I Reid
- Department of Information Technology Mayo Clinic Rochester MN
| | | | - Gerardo Heiss
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC
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29
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Khezrian M, Waymont JMJ, Myint PK, McNeil CJ, Whalley LJ, Staff R, Murray AD. Aspirin moderates the association between cardiovascular risk, brain white matter hyperintensity total lesion volume and processing speed in normal ageing. Maturitas 2020; 133:49-53. [PMID: 32005423 DOI: 10.1016/j.maturitas.2020.01.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 12/09/2019] [Accepted: 01/04/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Cardiovascular risk is associated with cognitive decline and this effect is attributed to brain pathology, including white matter hyperintensity (WMH) burden. Low-dose aspirin is frequently recommended for reducing vascular events. We investigated the effect of taking aspirin on the association between cardiovascular risk, WMH burden and cognitive function. STUDY DESIGN The study sample was drawn from 318 dementia-free adults aged 67-71 years. Brain magnetic resonance imaging (MRI) scans were acquired from 239 participants. MAIN OUTCOME MEASURES WMH total lesion volumes (TLV) were extracted using the automated lesion segmentation algorithm. We measured cardiovascular risk by calculating ASSIGN score. Cognitive ability was measured using a test of processing speed. We developed structural equation models to test our hypothesis. RESULTS Sixty-eight participants (47.1 % male, mean age = 68.8 years) reported that they took aspirin. The demographic measures did not differ significantly by aspirin use. Among aspirin users, there was a strong negative association between WMH TLV and cognition (β = -0.43, p-value < 0.001), while in non-users of aspirin the only significant predictor of poorer cognition was cardiovascular risk (β = -0.17, p-value = 0.001). CONCLUSIONS Aspirin use moderates the negative effect of WMH burden on cognition. Considering WMH burden in addition to cardiovascular risk could improve the prediction of cognitive decline in older adults with aspirin use.
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Affiliation(s)
- Mina Khezrian
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK.
| | - Jennifer M J Waymont
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Phyo K Myint
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - Christopher J McNeil
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Lawrence J Whalley
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - Roger Staff
- Aberdeen Royal Infirmary, NHS Grampian, Foresterhill, Aberdeen, UK
| | - Alison D Murray
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
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30
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Brugulat-Serrat A, Salvadó G, Operto G, Cacciaglia R, Sudre CH, Grau-Rivera O, Suárez-Calvet M, Falcon C, Sánchez-Benavides G, Gramunt N, Minguillon C, Fauria K, Barkhof F, Molinuevo JL, Gispert JD. White matter hyperintensities mediate gray matter volume and processing speed relationship in cognitively unimpaired participants. Hum Brain Mapp 2019; 41:1309-1322. [PMID: 31778002 PMCID: PMC7267988 DOI: 10.1002/hbm.24877] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 10/25/2019] [Accepted: 11/14/2019] [Indexed: 12/17/2022] Open
Abstract
White matter hyperintensities (WMH) have been extensively associated with cognitive impairment and reductions in gray matter volume (GMv) independently. This study explored whether WMH lesion volume mediates the relationship between cerebral patterns of GMv and cognition in 521 (mean age 57.7 years) cognitively unimpaired middle‐aged individuals. Episodic memory (EM) was measured with the Memory Binding Test and executive functions (EF) using five WAIS‐IV subtests. WMH were automatically determined from T2 and FLAIR sequences and characterized using diffusion‐weighted imaging (DWI) parameters. WMH volume was entered as a mediator in a voxel‐wise mediation analysis relating GMv and cognitive performance (with both EM and EF composites and the individual tests independently). The mediation model was corrected by age, sex, education, number of Apolipoprotein E (APOE)‐ε4 alleles and total intracranial volume. We found that even at very low levels of WMH burden in the cohort (median volume of 3.2 mL), higher WMH lesion volume was significantly associated with a widespread pattern of lower GMv in temporal, frontal, and cerebellar areas. WMH mediated the relationship between GMv and EF, mainly driven by processing speed, but not EM. DWI parameters in these lesions were compatible with incipient demyelination and axonal loss. These findings lead to the reflection on the relevance of the control of cardiovascular risk factors in middle‐aged individuals as a valuable preventive strategy to reduce or delay cognitive decline.
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Affiliation(s)
- Anna Brugulat-Serrat
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Raffaele Cacciaglia
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Carole H Sudre
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.,Dementia Research Centre, UCL, London, UK.,Centre for Medical Imaging Computing, Faculty of Engineering, University College London, London, UK
| | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | | | - Carolina Minguillon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Karine Fauria
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Frederik Barkhof
- Centre for Medical Imaging Computing, Faculty of Engineering, University College London, London, UK.,Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,Radiology & Nuclear Medicine, VU University Medical Centre, Amsterdam, Netherland
| | - José L Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - Juan D Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
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31
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Spilling CA, Jones PW, Dodd JW, Barrick TR. Disruption of white matter connectivity in chronic obstructive pulmonary disease. PLoS One 2019; 14:e0223297. [PMID: 31581226 PMCID: PMC6776415 DOI: 10.1371/journal.pone.0223297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 09/19/2019] [Indexed: 11/19/2022] Open
Abstract
Background Mild cognitive impairment is a common systemic manifestation of chronic obstructive pulmonary disease (COPD). However, its pathophysiological origins are not understood. Since, cognitive function relies on efficient communication between distributed cortical and subcortical regions, we investigated whether people with COPD have disruption in white matter connectivity. Methods Structural networks were constructed for 30 COPD patients (aged 54–84 years, 57% male, FEV1 52.5% pred.) and 23 controls (aged 51–81 years, 48% Male). Networks comprised 90 grey matter regions (nodes) interconnected by white mater fibre tracts traced using deterministic tractography (edges). Edges were weighted by the number of streamlines adjusted for a) streamline length and b) end-node volume. White matter connectivity was quantified using global and nodal graph metrics which characterised the networks connection density, connection strength, segregation, integration, nodal influence and small-worldness. Between-group differences in white matter connectivity and within-group associations with cognitive function and disease severity were tested. Results COPD patients’ brain networks had significantly lower global connection strength (p = 0.03) and connection density (p = 0.04). There was a trend towards COPD patients having a reduction in nodal connection density and connection strength across the majority of network nodes but this only reached significance for connection density in the right superior temporal gyrus (p = 0.02) and did not survive correction for end-node volume. There were no other significant global or nodal network differences or within-group associations with disease severity or cognitive function. Conclusion COPD brain networks show evidence of damage compared to controls with a reduced number and strength of connections. This loss of connectivity was not sufficient to disrupt the overall efficiency of network organisation, suggesting that it has redundant capacity that makes it resilient to damage, which may explain why cognitive dysfunction is not severe. This might also explain why no direct relationships could be found with cognitive measures. Smoking and hypertension are known to have deleterious effects on the brain. These confounding effects could not be excluded.
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Affiliation(s)
- Catherine A. Spilling
- Neuroscience Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, Tooting, London, United Kingdom
| | - Paul W. Jones
- Institute of Infection and Immunity, St George's, University of London, Tooting, London, United Kingdom
| | - James W. Dodd
- Academic Respiratory Unit, Second Floor, Learning and Research, Southmead Hospital, University of Bristol, Westbury-on-Trym, Bristol, United Kingdom
| | - Thomas R. Barrick
- Neuroscience Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, Tooting, London, United Kingdom
- * E-mail:
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32
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Spilling CA, Bajaj MPK, Burrage DR, Ruickbie S, Thai NJ, Baker EH, Jones PW, Barrick TR, Dodd JW. Contributions of cardiovascular risk and smoking to chronic obstructive pulmonary disease (COPD)-related changes in brain structure and function. Int J Chron Obstruct Pulmon Dis 2019; 14:1855-1866. [PMID: 31686798 PMCID: PMC6709516 DOI: 10.2147/copd.s213607] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 07/10/2019] [Indexed: 12/12/2022] Open
Abstract
Background Brain damage and cardiovascular disease are extra-pulmonary manifestations of chronic obstructive pulmonary disease (COPD). Cardiovascular risk factors and smoking are contributors to neurodegeneration. This study investigates whether there is a specific, COPD-related deterioration in brain structure and function independent of cardiovascular risk factors and smoking. Materials and methods Neuroimaging and clinical markers of brain structure (micro- and macro-) and function (cognitive function and mood) were compared between 27 stable COPD patients (age: 63.0±9.1 years, 59.3% male, forced expiratory volume in 1 second [FEV1]: 58.1±18.0% pred.) and 23 non-COPD controls with >10 pack years smoking (age: 66.6±7.5 years, 52.2% male, FEV1: 100.6±19.1% pred.). Clinical relationships and group interactions with brain structure were also tested. All statistical analyses included correction for cardiovascular risk factors, smoking, and aortic stiffness. Results COPD patients had significantly worse cognitive function (p=0.011), lower mood (p=0.046), and greater gray matter atrophy (p=0.020). In COPD patients, lower mood was associated with markers of white matter (WM) microstructural damage (p<0.001), and lower lung function (FEV1/forced vital capacity and FEV1) with markers of both WM macro (p=0.047) and microstructural damage (p=0.028). Conclusion COPD is associated with both structural (gray matter atrophy) and functional (worse cognitive function and mood) brain changes that cannot be explained by measures of cardiovascular risk, aortic stiffness, or smoking history alone. These results have important implications to guide the development of new interventions to prevent or delay progression of neuropsychiatric comorbidities in COPD. Relationships found between mood and microstructural abnormalities suggest that in COPD, anxiety, and depression may occur secondary to WM damage. This could be used to better understand disabling symptoms such as breathlessness, improve health status, and reduce hospital admissions.
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Affiliation(s)
- Catherine A Spilling
- Institute for Molecular and Clinical Sciences, St George’s University of London, LondonSW17 ORE, UK
| | - Mohani-Preet K Bajaj
- Institute for Molecular and Clinical Sciences, St George’s University of London, LondonSW17 ORE, UK
| | - Daniel R Burrage
- Institute for Infection and Immunity, St George’s University of London, LondonSW17 ORE, UK
| | - Sachelle Ruickbie
- Institute for Infection and Immunity, St George’s University of London, LondonSW17 ORE, UK
| | - N Jade Thai
- Clinical Research and Imaging Centre, University of Bristol, BristolBS2 8DX, UK
| | - Emma H Baker
- Institute for Infection and Immunity, St George’s University of London, LondonSW17 ORE, UK
| | - Paul W Jones
- Institute for Infection and Immunity, St George’s University of London, LondonSW17 ORE, UK
| | - Thomas R Barrick
- Institute for Molecular and Clinical Sciences, St George’s University of London, LondonSW17 ORE, UK
| | - James W Dodd
- Academic Respiratory Unit, University of Bristol, BristolBS10 5NB, UK
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Vedala K, Nagabandi AK, Looney S, Bruno A. Factors Associated with Leukoaraiosis Severity in Acute Stroke Patients. J Stroke Cerebrovasc Dis 2019; 28:1897-1901. [DOI: 10.1016/j.jstrokecerebrovasdis.2019.04.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 03/24/2019] [Accepted: 04/04/2019] [Indexed: 11/29/2022] Open
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Walhovd KB, Howell GR, Ritchie SJ, Staff RT, Cotman CW. What are the earlier life contributions to reserve and resilience? Neurobiol Aging 2019; 83:135-139. [PMID: 31307838 DOI: 10.1016/j.neurobiolaging.2019.04.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 04/22/2019] [Indexed: 12/30/2022]
Abstract
The brain's structures and functions arise from a combination of developmental processes and interaction with environmental experiences, beginning in utero and continuing throughout the lifespan. Broadly, the process that we think of as "successful aging" likely has its foundation in early life and is continuously shaped as life experiences are programmed into the brain in response to a changing environment. Thus, individual lifestyle choices and interventions aimed at increasing cognitive reserve and resilience could change the course of cognitive aging. To determine the relative efficacy of these approaches, we will need to understand how the timing of these interventions (e.g., age, duration, frequency) influences cognitive capacity through the lifespan. Although analysis of age-related changes in cognitive function reveals a general decline at the population level, it has become clear that there is great individual variance in the extent to which cognitive function changes with advanced age. The factors responsible for the individual differences in cognitive decline are unclear, but uncovering them with new analytical tools, epigenetic approaches, and subpopulation studies will provide a roadmap toward enhancing reserve and resilience in the population at large and preserving cognitive function in a greater number of aging individuals.
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Affiliation(s)
- Kristine B Walhovd
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | | | - Stuart J Ritchie
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Roger T Staff
- Aberdeen Royal Infirmary, NHS Grampian, Scotland, UK
| | - Carl W Cotman
- Institute for Brain Aging and Dementia, University of California, Irvine, CA, USA.
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Metabolic syndrome alters relationships between cardiometabolic variables, cognition and white matter hyperintensity load. Sci Rep 2019; 9:4356. [PMID: 30867458 PMCID: PMC6416472 DOI: 10.1038/s41598-019-40630-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 02/01/2019] [Indexed: 02/05/2023] Open
Abstract
Cardiometabolic risk factors influence white matter hyperintensity (WMH) development: in metabolic syndrome (MetS), higher WMH load is often reported but the relationships between specific cardiometabolic variables, WMH load and cognitive performance are uncertain. We investigated these in a Brazilian sample (aged 50–85) with (N = 61) and without (N = 103) MetS. Stepwise regression models identified effects of cardiometabolic and demographic variables on WMH load (from FLAIR MRI) and verbal recall performance. WMH volume was greater in MetS, but verbal recall performance was not impaired. Age showed the strongest relationship with WMH load. Across all participants, systolic blood pressure (SBP) and fasting blood glucose were also contributors, and WMH volume was negatively associated with verbal recall performance. In non-MetS, higher HbA1c, SBP, and number of MetS components were linked to poorer recall performance while higher triglyceride levels appeared to be protective. In MetS only, these relationships were absent but education exerted a strongly protective effect on recall performance. Thus, results support MetS as a construct: the clustering of cardiometabolic variables in MetS alters their individual relationships with cognition; instead, MetS is characterised by a greater reliance on cognitive reserve mechanisms. In non-MetS, strategies to control HbA1c and SBP should be prioritised as these have the largest impact on cognition.
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Huang W, Lv T, Li H, Du S, Yang C, Yuan S. [Correlation of apolipoprotein AI, apolipoprotein B and their ratio with the severity of cerebral white matter lesions]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2019; 38:992-996. [PMID: 30187870 DOI: 10.3969/j.issn.1673-4254.2018.08.15] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To investigate the correlation of apolipoprotein AI (ApoAI), ApoB, ApoB/ApoAI and the severity of brain white matter lesions (WML). METHODS A total of 648 patients with WML confirmed by brain magnetic resonance imaging (MRI) were divided into mild WML group (n=386) and moderate to severe WML group (n=262) according to evaluations with the Fazekas scale. The demographic data, blood biochemical parameters and the levels of ApoAI, ApoB and ApoB/AI ratio were compared between the two groups to identify the risk factors of moderate to severe WML. RESULTS Univariate analysis showed that age, gender, hypertension, diabetes, coronary heart disease, previous stroke, homocysteine, HDL-C, ApoAI, and ApoB/AI ratio all differed significantly between the two groups (P < 0.05), but ApoB levels were similar between them (P > 0.05). Multivariate logistic regression analysis revealed that with ApoAI and ApoB/AI ratio as the continuous variables, after adjustment for the compounding factors, ApoB/AI ratio was an independent risk factor (OR=11.456, 95% CI: 3.622-36.229, P < 0.001) and ApoAI was an independent protective factor for moderate to severe WML (OR=0.068, 95% CI: 0.018-0.262, P < 0.001). With the upper quartiles of ApoAI level (1.38 g/L) and ApoB/AI ratio (0.58) as their respective cutoff values, patients with a high ApoAI level and a low ApoB/AI ratio were found to have the lowest incidence of moderate to severe WML (P < 0.001). CONCLUSIONS An increased ApoB/AI ratio is an independent risk factor and an increased ApoAI level is an independent protective factor for moderate to severe WML.
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Affiliation(s)
- Weihua Huang
- Department of Neurology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - Tianming Lv
- Department of Neurology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - Huanmin Li
- Department of Neurology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - Shuhua Du
- Department of Neurology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - Canhong Yang
- Department of Neurology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - Shiqi Yuan
- Department of Neurology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
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An acute stroke CT imaging algorithm incorporating automated perfusion analysis. Emerg Radiol 2019; 26:319-329. [PMID: 30706257 DOI: 10.1007/s10140-019-01675-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 01/15/2019] [Indexed: 12/16/2022]
Abstract
In this paper, we propose a CT imaging algorithm for patients presenting with suspected acute stroke that incorporates automated CT perfusion (CTP) imaging. The algorithm details evaluation of the non-contrast CT (NCCT) for hemorrhage and acute ischemia, calculation of ASPECTS, with performance and interpretation of CTP if appropriate. In particular, we consider the key steps in expeditious interpretation of non-contrast CT and CT angiography in the context of suspected acute ischemic stroke. Given the recent expansion of the "imaging based" treatment window for thrombectomy from 6 to 24 h in the 2018 American Heart Association stroke guidelines, we consider the key criteria in the decision to perform CT perfusion and the patient cohorts in which this might be most helpful. We also describe how imaging findings might be incorporated into the treatment paradigm for suspected with acute ischemic stroke and we allude to some of the most frequently encountered pitfalls associated with CTP which we think will be particularly helpful for radiologists and stroke physicians who are considering adding CT perfusion to their work-up for acute stroke.
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38
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Salvadó G, Brugulat-Serrat A, Sudre CH, Grau-Rivera O, Suárez-Calvet M, Falcon C, Fauria K, Cardoso MJ, Barkhof F, Molinuevo JL, Gispert JD. Spatial patterns of white matter hyperintensities associated with Alzheimer's disease risk factors in a cognitively healthy middle-aged cohort. ALZHEIMERS RESEARCH & THERAPY 2019; 11:12. [PMID: 30678723 PMCID: PMC6346579 DOI: 10.1186/s13195-018-0460-1] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 12/18/2018] [Indexed: 11/17/2022]
Abstract
Background White matter hyperintensities (WMH) of presumed vascular origin have been associated with an increased risk of Alzheimer’s disease (AD). This study aims to describe the patterns of WMH associated with dementia risk estimates and individual risk factors in a cohort of middle-aged/late middle-aged individuals (mean 58 (interquartile range 51–64) years old). Methods Magnetic resonance imaging and AD risk factors were collected from 575 cognitively unimpaired participants. WMH load was automatically calculated in each brain lobe and in four equidistant layers from the ventricular surface to the cortical interface. Global volumes and regional patterns of WMH load were analyzed as a function of the Cardiovascular Risk Factors, Aging and Incidence of Dementia (CAIDE) dementia risk score, as well as family history of AD and Apolipoprotein E (APOE) genotype. Additional analyses were performed after correcting for the effect of age and hypertension. Results The studied cohort showed very low WMH burden (median 1.94 cm3) and 20-year dementia risk estimates (median 1.47 %). Even so, higher CAIDE scores were significantly associated with increased global WMH load. The main drivers of this association were age and hypertension, with hypercholesterolemia and body mass index also displaying a minor, albeit significant, influence. Regionally, CAIDE scores were positively associated with WMH in anterior areas, mostly in the frontal lobe. Age and hypertension showed significant association with WMH in almost all regions analyzed. The APOE-ε2 allele showed a protective effect over global WMH with a pattern that comprised juxtacortical temporo-occipital and fronto-parietal deep white matter regions. Participants with maternal family history of AD had higher WMH load than those without, especially in temporal and occipital lobes. Conclusions WMH load is associated with AD risk factors even in cognitively unimpaired subjects with very low WMH burden and dementia risk estimates. Our results suggest that tight control of modifiable risk factors in middle-age/late middle-age could have a significant impact on late-life dementia. Electronic supplementary material The online version of this article (10.1186/s13195-018-0460-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Gemma Salvadó
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain
| | - Anna Brugulat-Serrat
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain
| | - Carole H Sudre
- Engineering and Imaging Sciences, King's College London, London, UK.,Dementia Research Centre, University College London, London, UK.,Centre for Medical Imaging Computing, Faculty of Engineering, University College London, London, UK
| | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Karine Fauria
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - M Jorge Cardoso
- Engineering and Imaging Sciences, King's College London, London, UK.,Dementia Research Centre, University College London, London, UK
| | - Frederik Barkhof
- Centre for Medical Imaging Computing, Faculty of Engineering, University College London, London, UK.,Brain Repair and Rehabilitation, University College London, London, UK.,Radiology & Nuclear Medicine, VU University Medical Centre, Amsterdam, Netherlands
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain. .,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain. .,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain. .,Universitat Pompeu Fabra, Barcelona, Spain.
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Yu L, Yang L, Zhang X, Yuan J, Li Y, Yang S, Gu H, Hu W, Gao S. Age and recurrent stroke are related to the severity of white matter hyperintensities in lacunar infarction patients with diabetes. Clin Interv Aging 2018; 13:2487-2494. [PMID: 30584289 PMCID: PMC6290865 DOI: 10.2147/cia.s184463] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background and purpose White matter hyperintensities (WMH) is identified as a marker of cerebral small vessel diseases and is a major contributor to cognitive impairment, depression, gait disturbance, and urinary incontinence. However, the risk factors for WMH in patients with type 2 diabetes mellitus (T2DM) has not been well explored. Thus, in this study, we aimed to investigate the relationship between the severity of WMH and vascular risk factors in lacunar infarction patients with T2DM. Methods Consecutive lacunar infarction patients with T2DM were recruited in this cross-sectional study. Paraventricular WMH (P-WMH) and deep WMH (D-WMH) were separately scored by the Fazekas scale, and classified into two categories by the severity. Vascular risk factors and clinical features were compared between the mild and severe WMH. Multiple logistic regression analysis was used to determine the relationship between severity of WMH and vascular risk factors. Results A total of 327 participants aged 34–91 years were enrolled in this study. Compared with the patients with mild P-WMH, the patients with severe P-WMH had higher age (P=0.031), higher proportion of hypertension (P=0.042) and stroke (P<0.001). Levels of TG, LDL, and HbA1c were significantly higher in patients with mild P-WMH. Compared with the patients with mild D-WMH the patients with severe D-WMH had higher age and hyperhomocysteinemia (HCY) level (P<0.001), higher proportion of hyperlipidemia (P=0.008), and stroke (P<0.001). Multivariable logistic regression analyses showed that higher age and recurrent stroke were independently related to severe P-WMH and D-WMH in lacunar infarction patients with T2DM. Conclusions Age and recurrent stroke are related to the severity of P-WMH and D-WMH in lacunar infarction patients with T2DM.
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Affiliation(s)
- Ling Yu
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Lei Yang
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Xiaoyu Zhang
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Junliang Yuan
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Yue Li
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Shuna Yang
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Hua Gu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Wenli Hu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Shan Gao
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
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MR evaluation of encephalic leukoaraiosis in sudden sensorineural hearing loss (SSNHL) patients. Neurol Sci 2018; 40:357-362. [PMID: 30465101 DOI: 10.1007/s10072-018-3647-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 11/13/2018] [Indexed: 10/27/2022]
Abstract
Epidemiological evidence suggests a strict correlation between sudden sensorineural hearing loss (SSNHL) and cerebrovascular disorders. Leukoaraiosis represents a diffuse alteration of the periventricular and subcortical white matter. The aim of our study was to verify if the presence of white matter hyperintensity (WMH) was higher in patients affected by SSNHL compared to controls and evaluate the correlation between WMH and the cardiovascular risk factors, hearing level, and the response to therapy in SSNHL patients. The study group included 36 subjects affected by unilateral SSNHL. Thirty-six age- and sex-matched normal subjects with a negative history of SSNHL were used as controls. All patients underwent magnetic resonance imaging (MRI) (1.5 Tesla GE Signa) and the extent of leukoaraiosis was assessed with the Fazekas scale. The results of the present study demonstrate a high prevalence of WMH in SSNHL patients compared to controls confirming the hypothesis of a vascular impairment in SSNHL patients. The higher recovery rate in patients with greater periventricular white matter hyperintensity (PWMH) may suggest a vascular etiology that is still responsive to medical treatment. We aim to expand both the number of patients and the controls to avoid the limitation of the still small number to warrant solid scientific conclusions.
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41
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Aljondi R, Szoeke C, Steward C, Gorelik A, Desmond P. The effect of midlife cardiovascular risk factors on white matter hyperintensity volume and cognition two decades later in normal ageing women. Brain Imaging Behav 2018; 14:51-61. [DOI: 10.1007/s11682-018-9970-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Fladt J, Kronlage C, De Marchis GM. Cerebral White Matter Hyperintensities and Microbleeds in Acute Ischemic Stroke: Impact on Recanalization Therapies. A Review of the Literature. Neurosci Lett 2018; 687:55-64. [PMID: 30194982 DOI: 10.1016/j.neulet.2018.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 08/31/2018] [Accepted: 09/03/2018] [Indexed: 12/30/2022]
Abstract
Cerebral white matter hyperintensities (WMH) and cerebral microbleeds (CMBs) are frequently seen on brain imaging acquired for acute ischemic stroke. Given the raising use of recanalization therapies - both intravenous and endovascular - the interest on the impact of WMH and CMBs on the risk of intracerebral hemorrhage and on functional outcome is growing. In this review, we will discuss the relevance of WMH and CMBs among patients with an acute ischemic stroke, focusing on the implications for recanalization therapies.
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Affiliation(s)
- J Fladt
- Department of Neurology, University Hospital Basel, Switzerland
| | - C Kronlage
- Department of Neurology, University Hospital Basel, Switzerland
| | - G M De Marchis
- Department of Neurology, University Hospital Basel, Switzerland.
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Nunley KA, Metti AL, Klein R, Klein BE, Saxton JA, Orchard TJ, Costacou T, Aizenstein HJ, Rosano C. Long-term changes in retinal vascular diameter and cognitive impairment in type 1 diabetes. Diab Vasc Dis Res 2018; 15:223-232. [PMID: 29488397 DOI: 10.1177/1479164118758581] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To assess associations between cognitive impairment and longitudinal changes in retinal microvasculature, over 18 years, in adults with type 1 diabetes. RESEARCH DESIGN AND METHODS Participants of the Pittsburgh Epidemiology of Diabetes Complications Study received ≥3 fundus photographs between baseline (1986-1988) and time of cognitive assessment (2010-2015: N = 119; 52% male; mean age and type 1 diabetes duration 43 and 34 years, respectively). Central retinal arteriolar equivalent and central retinal venular equivalent were estimated via computer-based methods; overall magnitude and speed of narrowing were quantified as cumulative average and slope, respectively. Median regression models estimated associations of central retinal arteriolar equivalent and central retinal venular equivalent measures with cognitive impairment status, adjusted for type 1 diabetes duration. Interactions with HbA1c, proliferative retinopathy and white matter hyperintensities were assessed. RESULTS Compared with participants without cognitive impairment, those with clinically relevant cognitive impairment experienced 1.8% greater and 31.1% faster central retinal arteriolar equivalent narrowing during prior years (t = -2.93, p = 0.004 and t = -3.97, p < 0.0001, respectively). Interactions with HbA1c, proliferative retinopathy and white matter hyperintensities were not significant. No associations were found between central retinal arteriolar equivalent at baseline, at time of cognitive testing, or any central retinal venular equivalent measures, and cognitive impairment. CONCLUSION Long-term arterial retinal changes could indicate type 1 diabetes-related cognitive impairment. Studies examining longitudinal central retinal arteriolar equivalent changes as early biomarkers of cognitive impairment risk are warranted.
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Affiliation(s)
- Karen A Nunley
- 1 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrea L Metti
- 1 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ronald Klein
- 2 Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Barbara E Klein
- 2 Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Judith A Saxton
- 3 Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Trevor J Orchard
- 1 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tina Costacou
- 1 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Howard J Aizenstein
- 4 Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Caterina Rosano
- 1 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
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Yin ZG, Wang QS, Yu K, Wang WW, Lin H, Yang ZH. Sex differences in associations between blood lipids and cerebral small vessel disease. Nutr Metab Cardiovasc Dis 2018; 28:28-34. [PMID: 29162363 DOI: 10.1016/j.numecd.2017.10.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 07/31/2017] [Accepted: 10/01/2017] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND AIMS Dyslipidemia predicts higher risk of coronary events and stroke and might be associated with cerebral small vessel disease (SVD). Previous studies linking blood lipids and SVD have yielded inconsistent results, which may be attributable to sex differences in lipids metabolism. The aim of this study was to investigate the relationships between blood lipids and SVD in neurologically healthy men and women. METHODS AND RESULTS Consecutive 817 people aged 50 years or more were enrolled and underwent magnetic resonance imaging scans to evaluate the periventricular white matter lesions (PVWMLs), deep white matter lesions (DWMLs) and silent brain infarction (SBI). Fasting total cholesterol, triglyceride, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol, apolipoprotein A-1 (apoA-1) and apolipoprotein B were assessed. Multivariable logistic regression analyses were performed to determine the associations of blood lipids with PVWMLs, DWMLs and SBI. HDL-C (for PVWMLs: OR 0.36, 95% CI 0.19-0.71; for DWMLs: OR 0.35, 95% CI 0.20-0.63) and apoA-1 (for PVWMLs: OR 0.27, 95% CI 0.11-0.66; for DWMLs: OR 0.22, 95% CI 0.10-0.48) were inversely associated with the severity of PVWMLs and DWMLs in women but not in men after adjustment for age, hypertension, diabetes, current smoking, daily drinking, body mass index and uric acid. Additionally, no blood lipids were significantly associated with SBI. CONCLUSIONS Our findings demonstrate that sex differences may exist in the associations between lipids and SVD. HDL-C and apoA-1 levels were inversely associated with the severity of PVWMLs and DWMLs in women.
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Affiliation(s)
- Z-G Yin
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
| | - Q-S Wang
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China.
| | - K Yu
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
| | - W-W Wang
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
| | - H Lin
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
| | - Z-H Yang
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
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45
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Wischik CM, Schelter BO, Wischik DJ, Storey JMD, Harrington CR. Modeling Prion-Like Processing of Tau Protein in Alzheimer's Disease for Pharmaceutical Development. J Alzheimers Dis 2018; 62:1287-1303. [PMID: 29226873 PMCID: PMC5870021 DOI: 10.3233/jad-170727] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2017] [Indexed: 12/14/2022]
Abstract
Following our discovery of a fragment from the repeat domain of tau protein as a structural constituent of the PHF-core in Alzheimer's disease (AD), we developed an assay that captured several key features of the aggregation process. Tau-tau binding through the core tau fragment could be blocked by the same diaminophenothiazines found to dissolve proteolytically stable PHFs isolated from AD brain. We found that the PHF-core tau fragment is inherently capable of auto-catalytic self-propagation in vitro, or "prion-like processing", that has now been demonstrated for several neurodegenerative disorders. Here we review the findings that led to the first clinical trials to test tau aggregation inhibitor therapy in AD as a way to block this cascade. Although further trials are still needed, the results to date suggest that a treatment targeting the prion-like processing of tau protein may have a role in both prevention and treatment of AD.
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Affiliation(s)
- Claude M. Wischik
- TauRx Therapeutics Ltd., Singapore
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Björn O. Schelter
- TauRx Therapeutics Ltd., Singapore
- Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, UK
| | - Damon J. Wischik
- TauRx Therapeutics Ltd., Singapore
- Computer Laboratory, University of Cambridge, Cambridge, UK
| | - John M. D. Storey
- TauRx Therapeutics Ltd., Singapore
- Department of Chemistry, University of Aberdeen, Aberdeen, UK
| | - Charles R. Harrington
- TauRx Therapeutics Ltd., Singapore
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
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Belathur Suresh M, Fischl B, Salat DH. Factors influencing accuracy of cortical thickness in the diagnosis of Alzheimer's disease. Hum Brain Mapp 2017; 39:1500-1515. [PMID: 29271096 DOI: 10.1002/hbm.23922] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 11/28/2017] [Accepted: 12/07/2017] [Indexed: 02/04/2023] Open
Abstract
There is great value to use of structural neuroimaging in the assessment of Alzheimer's disease (AD). However, to date, predictive value of structural imaging tend to range between 80% and 90% in accuracy and it is unclear why this is the case given that structural imaging should parallel the pathologic processes of AD. There is a possibility that clinical misdiagnosis relative to the gold standard pathologic diagnosis and/or additional brain pathologies are confounding factors contributing to reduced structural imaging classification accuracy. We examined potential factors contributing to misclassification of individuals with clinically diagnosed AD purely from cortical thickness measures. Correctly classified and incorrectly classified groups were compared across a range of demographic, biological, and neuropsychological data including cerebrospinal fluid biomarkers, amyloid imaging, white matter hyperintensity (WMH) volume, cognitive, and genetic factors. Individual subject analyses suggested that at least a portion of the control individuals misclassified as AD from structural imaging additionally harbor substantial AD biomarker pathology and risk, yet are relatively resistant to cognitive symptoms, likely due to "cognitive reserve," and therefore clinically unimpaired. In contrast, certain clinical control individuals misclassified as AD from cortical thickness had increased WMH volume relative to other controls in the sample, suggesting that vascular conditions may contribute to classification accuracy from cortical thickness measures. These results provide examples of factors that contribute to the accuracy of structural imaging in predicting a clinical diagnosis of AD, and provide important information about considerations for future work aimed at optimizing structural based diagnostic classifiers for AD.
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Affiliation(s)
- Mahanand Belathur Suresh
- MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Department of Information Science and Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India
| | - Bruce Fischl
- MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - David H Salat
- MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, Massachusetts
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Spilling CA, Jones PW, Dodd JW, Barrick TR. White matter lesions characterise brain involvement in moderate to severe chronic obstructive pulmonary disease, but cerebral atrophy does not. BMC Pulm Med 2017. [PMID: 28629404 PMCID: PMC5474872 DOI: 10.1186/s12890-017-0435-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background Brain pathology is relatively unexplored in chronic obstructive pulmonary disease (COPD). This study is a comprehensive investigation of grey matter (GM) and white matter (WM) changes and how these relate to disease severity and cognitive function. Methods T1-weighted and fluid-attenuated inversion recovery images were acquired for 31 stable COPD patients (FEV1 52.1% pred., PaO2 10.1 kPa) and 24 age, gender-matched controls. T1-weighted images were segmented into GM, WM and cerebrospinal fluid (CSF) tissue classes using a semi-automated procedure optimised for use with this cohort. This procedure allows, cohort-specific anatomical features to be captured, white matter lesions (WMLs) to be identified and includes a tissue repair step to correct for misclassification caused by WMLs. Tissue volumes and cortical thickness were calculated from the resulting segmentations. Additionally, a fully-automated pipeline was used to calculate localised cortical surface and gyrification. WM and GM tissue volumes, the tissue volume ratio (indicator of atrophy), average cortical thickness, and the number, size, and volume of white matter lesions (WMLs) were analysed across the whole-brain and regionally – for each anatomical lobe and the deep-GM. The hippocampus was investigated as a region-of-interest. Localised (voxel-wise and vertex-wise) variations in cortical gyrification, GM density and cortical thickness, were also investigated. Statistical models controlling for age and gender were used to test for between-group differences and within-group correlations. Robust statistical approaches ensured the family-wise error rate was controlled in regional and local analyses. Results There were no significant differences in global, regional, or local measures of GM between patients and controls, however, patients had an increased volume (p = 0.02) and size (p = 0.04) of WMLs. In patients, greater normalised hippocampal volume positively correlated with exacerbation frequency (p = 0.04), and greater WML volume was associated with worse episodic memory (p = 0.05). A negative relationship between WML and FEV1 % pred. approached significance (p = 0.06). Conclusions There was no evidence of cerebral atrophy within this cohort of stable COPD patients, with moderate airflow obstruction. However, there were indications of WM damage consistent with an ischaemic pathology. It cannot be concluded whether this represents a specific COPD, or smoking-related, effect. Electronic supplementary material The online version of this article (doi:10.1186/s12890-017-0435-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Catherine A Spilling
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, Cranmer Terrace, Tooting, London, SW17 ORE, UK.
| | - Paul W Jones
- Institute of Infection and Immunity, St George's University of London, Cranmer Terrace, Tooting, London, SW17 ORE, UK
| | - James W Dodd
- Academic Respiratory Unit, Second Floor, Learning and Research, Southmead Hospital, University of Bristol, Southmead Road, Westbury-on-Trym, Bristol, BS10 5NB, UK
| | - Thomas R Barrick
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, Cranmer Terrace, Tooting, London, SW17 ORE, UK
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Relationship between white matter hyperintensities volume and the circle of Willis configurations in patients with carotid artery pathology. Eur J Radiol 2017; 89:111-116. [DOI: 10.1016/j.ejrad.2017.01.031] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 01/17/2017] [Accepted: 01/30/2017] [Indexed: 11/18/2022]
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Fukui Y, Hishikawa N, Ichinose J, Sato K, Nakano Y, Morihara R, Ohta Y, Yamashita T, Abe K. Different clinical effect of four antidementia drugs for Alzheimer's disease patients depending on white matter severity. Geriatr Gerontol Int 2017; 17:1991-1999. [PMID: 28276131 DOI: 10.1111/ggi.13007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Revised: 11/28/2016] [Accepted: 01/04/2017] [Indexed: 11/29/2022]
Abstract
AIM To examine the clinical effect of four antidementia drugs (donepezil, galantamine, rivastigmine and memantine) in Alzheimer's disease patients who were divided into subgroups based on their periventricular hyperintensity (PVH) severity. METHODS A total of 551 Alzheimer's disease patients (201 men and 350 women) were divided into four subgroups based on their PVH severity (0-III). They received monotherapy for 12 months. We compared the clinical effects at the baseline, and at 3, 6 and 12 months after initiation. RESULTS The baseline age became higher with PVH grades, and the Mini-Mental State Examination and Hasegawa Dementia Scale-Revised showed a decrease that was dependent on white matter severity. Although the PVH 0 subgroup showed stable cognitive, affective and ADL functions until 12 months in all four drug groups, the PVH I subgroup showed an improved Apathy Scale from the baseline in response to memantine at 3 and 9 months (P < 0.05), and galantamine at 9 months (P < 0.01). In the PVH II subgroup, the Mini-Mental State Examination showed a significant improvement from the baseline in response to galantamine (P < 0.05) at 9 months and Hasegawa Dementia Scale-Revised (P < 0.05) at 3 months. In the PVH III subgroup, cognitive and affective functions were preserved in all four drug groups until 12 months, but activities of daily living deteriorated in the riverstigmine group at 6 and 12 months (P < 0.05). CONCLUSIONS The present study shows that these four drugs showed sensitivity dependent on white matter severity that clinically affected cognitive, affective and activities of daily living functions. Geriatr Gerontol Int 2017; 17: 1991-1999.
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Affiliation(s)
- Yusuke Fukui
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Nozomi Hishikawa
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Jin Ichinose
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Kota Sato
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Yumiko Nakano
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Ryuta Morihara
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Yasuyuki Ohta
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Toru Yamashita
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Koji Abe
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
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50
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Jolly TA, Cooper PS, Rennie JL, Levi CR, Lenroot R, Parsons MW, Michie PT, Karayanidis F. Age-related decline in task switching is linked to both global and tract-specific changes in white matter microstructure. Hum Brain Mapp 2017; 38:1588-1603. [PMID: 27879030 PMCID: PMC6866847 DOI: 10.1002/hbm.23473] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 11/08/2016] [Accepted: 11/08/2016] [Indexed: 11/11/2022] Open
Abstract
Task-switching performance relies on a broadly distributed frontoparietal network and declines in older adults. In this study, they investigated whether this age-related decline in task switching performance was mediated by variability in global or regional white matter microstructural health. Seventy cognitively intact adults (43-87 years) completed a cued-trials task switching paradigm. Microstructural white matter measures were derived using diffusion tensor imaging (DTI) analyses on the diffusion-weighted imaging (DWI) sequence. Task switching performance decreased with increasing age and radial diffusivity (RaD), a measure of white matter microstructure that is sensitive to myelin structure. RaD mediated the relationship between age and task switching performance. However, the relationship between RaD and task switching performance remained significant when controlling for age and was stronger in the presence of cardiovascular risk factors. Variability in error and RT mixing cost were associated with RaD in global white matter and in frontoparietal white matter tracts, respectively. These findings suggest that age-related increase in mixing cost may result from both global and tract-specific disruption of cerebral white matter linked to the increased incidence of cardiovascular risks in older adults. Hum Brain Mapp 38:1588-1603, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Todd A.D. Jolly
- Functional Neuroimaging Laboratory, School of PsychologyUniversity of NewcastleNewcastleAustralia
- Priority Research Centre for Stroke and Brain Injury, University of NewcastleNewcastleAustralia
- Priority Research Centre for Brain and Mental Health Research, University of NewcastleNewcastleAustralia
- Hunter Medical Research InstituteNewcastleAustralia
| | - Patrick S. Cooper
- Functional Neuroimaging Laboratory, School of PsychologyUniversity of NewcastleNewcastleAustralia
- Priority Research Centre for Stroke and Brain Injury, University of NewcastleNewcastleAustralia
- Priority Research Centre for Brain and Mental Health Research, University of NewcastleNewcastleAustralia
- Hunter Medical Research InstituteNewcastleAustralia
| | - Jaime L. Rennie
- Functional Neuroimaging Laboratory, School of PsychologyUniversity of NewcastleNewcastleAustralia
- Priority Research Centre for Stroke and Brain Injury, University of NewcastleNewcastleAustralia
- Priority Research Centre for Brain and Mental Health Research, University of NewcastleNewcastleAustralia
- Hunter Medical Research InstituteNewcastleAustralia
| | - Christopher R. Levi
- Priority Research Centre for Stroke and Brain Injury, University of NewcastleNewcastleAustralia
- Hunter Medical Research InstituteNewcastleAustralia
- School of Medicine and Public HealthUniversity of NewcastleNewcastleAustralia
| | - Rhoshel Lenroot
- Neuroscience Research Australia, University of New South WalesSydneyAustralia
| | - Mark W. Parsons
- Priority Research Centre for Stroke and Brain Injury, University of NewcastleNewcastleAustralia
- Hunter Medical Research InstituteNewcastleAustralia
- School of Medicine and Public HealthUniversity of NewcastleNewcastleAustralia
| | - Patricia T. Michie
- Functional Neuroimaging Laboratory, School of PsychologyUniversity of NewcastleNewcastleAustralia
- Priority Research Centre for Brain and Mental Health Research, University of NewcastleNewcastleAustralia
- Hunter Medical Research InstituteNewcastleAustralia
| | - Frini Karayanidis
- Functional Neuroimaging Laboratory, School of PsychologyUniversity of NewcastleNewcastleAustralia
- Priority Research Centre for Stroke and Brain Injury, University of NewcastleNewcastleAustralia
- Hunter Medical Research InstituteNewcastleAustralia
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