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Xhima K, Ottoy J, Gibson E, Zukotynski K, Scott C, Feliciano GJ, Adamo S, Kuo PH, Borrie MJ, Chertkow H, Frayne R, Laforce R, Noseworthy MD, Prato FS, Sahlas DJ, Smith EE, Sossi V, Thiel A, Soucy JP, Tardif JC, Goubran M, Black SE, Ramirez J. Distinct spatial contributions of amyloid pathology and cerebral small vessel disease to hippocampal morphology. Alzheimers Dement 2024. [PMID: 38574400 DOI: 10.1002/alz.13791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 01/22/2024] [Accepted: 02/09/2024] [Indexed: 04/06/2024]
Abstract
INTRODUCTION Cerebral small vessel disease (SVD) and amyloid beta (Aβ) pathology frequently co-exist. The impact of concurrent pathology on the pattern of hippocampal atrophy, a key substrate of memory impacted early and extensively in dementia, remains poorly understood. METHODS In a unique cohort of mixed Alzheimer's disease and moderate-severe SVD, we examined whether total and regional neuroimaging measures of SVD, white matter hyperintensities (WMH), and Aβ, as assessed by 18F-AV45 positron emission tomography, exert additive or synergistic effects on hippocampal volume and shape. RESULTS Frontal WMH, occipital WMH, and Aβ were independently associated with smaller hippocampal volume. Frontal WMH had a spatially distinct impact on hippocampal shape relative to Aβ. In contrast, hippocampal shape alterations associated with occipital WMH spatially overlapped with Aβ-vulnerable subregions. DISCUSSION Hippocampal degeneration is differentially sensitive to SVD and Aβ pathology. The pattern of hippocampal atrophy could serve as a disease-specific biomarker, and thus guide clinical diagnosis and individualized treatment strategies for mixed dementia.
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Affiliation(s)
- Kristiana Xhima
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Julie Ottoy
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Erin Gibson
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Katherine Zukotynski
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Departments of Medicine and Radiology, McMaster University, Hamilton, Ontario, Canada
- Department of Medical Imaging, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Christopher Scott
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Ginelle J Feliciano
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Sabrina Adamo
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Phillip H Kuo
- Departments of Medical Imaging, Medicine, Biomedical Engineering, University of Arizona, Tucson, Arizona, USA
| | - Michael J Borrie
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Howard Chertkow
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Richard Frayne
- Departments of Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, Université Laval, Quebec City, Quebec, Canada
| | - Michael D Noseworthy
- Departments of Medicine and Radiology, McMaster University, Hamilton, Ontario, Canada
- Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada
| | - Frank S Prato
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | | | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Vesna Sossi
- Physics and Astronomy Department and DM Center for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander Thiel
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Jean-Paul Soucy
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Jean-Claude Tardif
- Montreal Heart Institute, Université de Montréal, Montreal, Quebec, Canada
| | - Maged Goubran
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Sandra E Black
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Joel Ramirez
- Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
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Ozzoude M, Varriano B, Beaton D, Ramirez J, Adamo S, Holmes MF, Scott CJM, Gao F, Sunderland KM, McLaughlin P, Goubran M, Kwan D, Roberts A, Bartha R, Symons S, Tan B, Swartz RH, Abrahao A, Saposnik G, Masellis M, Lang AE, Marras C, Zinman L, Shoesmith C, Borrie M, Fischer CE, Frank A, Freedman M, Montero-Odasso M, Kumar S, Pasternak S, Strother SC, Pollock BG, Rajji TK, Seitz D, Tang-Wai DF, Turnbull J, Dowlatshahi D, Hassan A, Casaubon L, Mandzia J, Sahlas D, Breen DP, Grimes D, Jog M, Steeves TDL, Arnott SR, Black SE, Finger E, Rabin J, Tartaglia MC. White matter hyperintensities and smaller cortical thickness are associated with neuropsychiatric symptoms in neurodegenerative and cerebrovascular diseases. Alzheimers Res Ther 2023; 15:114. [PMID: 37340319 PMCID: PMC10280981 DOI: 10.1186/s13195-023-01257-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 06/01/2023] [Indexed: 06/22/2023]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) are a core feature of most neurodegenerative and cerebrovascular diseases. White matter hyperintensities and brain atrophy have been implicated in NPS. We aimed to investigate the relative contribution of white matter hyperintensities and cortical thickness to NPS in participants across neurodegenerative and cerebrovascular diseases. METHODS Five hundred thirteen participants with one of these conditions, i.e. Alzheimer's Disease/Mild Cognitive Impairment, Amyotrophic Lateral Sclerosis, Frontotemporal Dementia, Parkinson's Disease, or Cerebrovascular Disease, were included in the study. NPS were assessed using the Neuropsychiatric Inventory - Questionnaire and grouped into hyperactivity, psychotic, affective, and apathy subsyndromes. White matter hyperintensities were quantified using a semi-automatic segmentation technique and FreeSurfer cortical thickness was used to measure regional grey matter loss. RESULTS Although NPS were frequent across the five disease groups, participants with frontotemporal dementia had the highest frequency of hyperactivity, apathy, and affective subsyndromes compared to other groups, whilst psychotic subsyndrome was high in both frontotemporal dementia and Parkinson's disease. Results from univariate and multivariate results showed that various predictors were associated with neuropsychiatric subsyndromes, especially cortical thickness in the inferior frontal, cingulate, and insula regions, sex(female), global cognition, and basal ganglia-thalamus white matter hyperintensities. CONCLUSIONS In participants with neurodegenerative and cerebrovascular diseases, our results suggest that smaller cortical thickness and white matter hyperintensity burden in several cortical-subcortical structures may contribute to the development of NPS. Further studies investigating the mechanisms that determine the progression of NPS in various neurodegenerative and cerebrovascular diseases are needed.
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Affiliation(s)
- Miracle Ozzoude
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 2S8, Canada
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Psychology, Faculty of Health, York University, Toronto, ON, Canada
| | - Brenda Varriano
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 2S8, Canada
- Central Michigan University College of Medicine, Mount Pleasant, MI, USA
| | - Derek Beaton
- Data Science & Advanced Analytic, St. Michael's Hospital, Toronto, ON, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Sabrina Adamo
- Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Scarborough, ON, Canada
| | - Melissa F Holmes
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Christopher J M Scott
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Fuqiang Gao
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | | | | | - Maged Goubran
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
- Queen's University, Kingston, ON, Canada
| | - Angela Roberts
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Western University, London, ON, Canada
| | - Robert Bartha
- Robarts Research Institute, Western University, London, ON, Canada
| | - Sean Symons
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Brian Tan
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Richard H Swartz
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Agessandro Abrahao
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
| | - Gustavo Saposnik
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Mario Masellis
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
| | - Anthony E Lang
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Edmond J Safra Program for Parkinson Disease, Movement Disorder Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Connie Marras
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Edmond J Safra Program for Parkinson Disease, Movement Disorder Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Lorne Zinman
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
| | - Christen Shoesmith
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Michael Borrie
- Robarts Research Institute, Western University, London, ON, Canada
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Corinne E Fischer
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada
| | - Andrew Frank
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada
- Bruyère Research Institute, Ottawa, ON, Canada
| | - Morris Freedman
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Division of Neurology, Baycrest Health Sciences, Toronto, ON, Canada
| | - Manuel Montero-Odasso
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Lawsone Health Research Institute, London, ON, Canada
- Gait and Brain Lab, Parkwood Institute, London, ON, Canada
| | - Sanjeev Kumar
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Stephen Pasternak
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Stephen C Strother
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Bruce G Pollock
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tarek K Rajji
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada
| | - Dallas Seitz
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - David F Tang-Wai
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Memory Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - John Turnbull
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada
| | - Leanne Casaubon
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
| | - Jennifer Mandzia
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- St. Joseph's Healthcare Centre, London, ON, Canada
| | - Demetrios Sahlas
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - David P Breen
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - David Grimes
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada
| | - Mandar Jog
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- London Health Sciences Centre, London, ON, Canada
| | - Thomas D L Steeves
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Stephen R Arnott
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Sandra E Black
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Jennifer Rabin
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 2S8, Canada.
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada.
- Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada.
- Memory Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada.
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Pieruccini-Faria F, Cornish B, Binns M, Fraser J, Haddad SMH, Sunderland K, Ramirez J, Beaton D, Kwan D, Dilliott AA, Scott C, Sarquis-Adamson Y, Black A, Van Ooteghem K, Casaubon L, Dowlatshahi D, Hassan A, Mandzia J, Sahlas D, Saposnik G, Tan B, Hegele R, Bulman D, Ghani M, Robinson J, Rogaeva E, Farhan S, Symons S, Nanayakkara N, Arnott SR, Berezuk C, Holmes M, Adamo S, Ozzoude M, Zamyadi M, Lou W, Sujanthan S, Bartha R, Black SE, Swartz RH, McIlroy W, Montero-Odasso M. Association of Dual-Task Gait Cost and White Matter Hyperintensity Burden Poststroke: Results From the ONDRI. Neurorehabil Neural Repair 2023:15459683231177606. [PMID: 37269105 DOI: 10.1177/15459683231177606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
BACKGROUND Acute change in gait speed while performing a mental task [dual-task gait cost (DTC)], and hyperintensity magnetic resonance imaging signals in white matter are both important disability predictors in older individuals with history of stroke (poststroke). It is still unclear, however, whether DTC is associated with overall hyperintensity volume from specific major brain regions in poststroke. METHODS This is a cohort study with a total of 123 older (69 ± 7 years of age) participants with history of stroke were included from the Ontario Neurodegenerative Disease Research Initiative. Participants were clinically assessed and had gait performance assessed under single- and dual-task conditions. Structural neuroimaging data were analyzed to measure both, white matter hyperintensity (WMH) and normal appearing volumes. Percentage of WMH volume in frontal, parietal, occipital, and temporal lobes as well as subcortical hyperintensities in basal ganglia + thalamus were the main outcomes. Multivariate models investigated associations between DTC and hyperintensity volumes, adjusted for age, sex, years of education, global cognition, vascular risk factors, APOE4 genotype, residual sensorimotor symptoms from previous stroke and brain volume. RESULTS There was a significant positive global linear association between DTC and hyperintensity burden (adjusted Wilks' λ = .87, P = .01). Amongst all WMH volumes, hyperintensity burden from basal ganglia + thalamus provided the most significant contribution to the global association (adjusted β = .008, η2 = .03; P = .04), independently of brain atrophy. CONCLUSIONS In poststroke, increased DTC may be an indicator of larger white matter damages, specifically in subcortical regions, which can potentially affect the overall cognitive processing and decrease gait automaticity by increasing the cortical control over patients' locomotion.
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Affiliation(s)
- Frederico Pieruccini-Faria
- Gait and Brain Lab, St. Joseph's Hospital, Parkwood Institute, Lawson Health Research Institute, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Benjamin Cornish
- Neuroscience, Mobility and Balance Lab (NiMBaL), Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Malcolm Binns
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Julia Fraser
- Neuroscience, Mobility and Balance Lab (NiMBaL), Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Seyyed M H Haddad
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Kelly Sunderland
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Joel Ramirez
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Derek Beaton
- Data Science & Advanced Analytics, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Allison A Dilliott
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Robarts Research Institute, Western University, London, ON, Canada
| | - Christopher Scott
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Yanina Sarquis-Adamson
- Gait and Brain Lab, St. Joseph's Hospital, Parkwood Institute, Lawson Health Research Institute, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Alanna Black
- Gait and Brain Lab, St. Joseph's Hospital, Parkwood Institute, Lawson Health Research Institute, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Karen Van Ooteghem
- Neuroscience, Mobility and Balance Lab (NiMBaL), Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Leanne Casaubon
- Department of Medicine, Sunnybrook HSC, University of Toronto; Dr. Sandra Black Centre for Brain Resilience and Recovery; Hurvitz Brain Sciences Research Program Director, Sunnybrook Research Institute; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Research Institute, Northern Ontario School of Medicine, Thunder Bay, ON, Canada
| | - Jennifer Mandzia
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, and London Health Sciences Center, London, ON, Canada
| | - Demetrios Sahlas
- Division of Neurology, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Gustavo Saposnik
- St. Michaels Hospital, University of Toronto, Toronto, ON, Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Robert Hegele
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Dennis Bulman
- Department of Medicine, University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Mahdi Ghani
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - John Robinson
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Sali Farhan
- Department of Neurology and Neurosurgery, Department of Human Genetics, The Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Sean Symons
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Nuwan Nanayakkara
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Stephen R Arnott
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Courtney Berezuk
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Melissa Holmes
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Cananda; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health; University of Toronto, Toronto, ON, Canada
| | - Sujeevini Sujanthan
- Department of Ophthalmology and Visual Sciences, Research Institute of the McGill University Health Center, Montreal, QC, Canada
| | - Robert Bartha
- Department of Medicine, Robarts Research Institute, Schulich of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Sandra E Black
- Department of Medicine, Sunnybrook HSC, University of Toronto; Dr. Sandra Black Centre for Brain Resilience and Recovery; Hurvitz Brain Sciences Research Program Director, Sunnybrook Research Institute; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - William McIlroy
- Neuroscience, Mobility and Balance Lab (NiMBaL), Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Manuel Montero-Odasso
- Department of Medicine (Geriatrics) and Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
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Carvalho de Abreu DC, Pieruccini-Faria F, Sarquis-Adamson Y, Black A, Fraser J, Van Ooteghem K, Cornish B, Grimes D, Jog M, Masellis M, Steeves T, Nanayakkara N, Ramirez J, Scott C, Holmes M, Ozzoude M, Berezuk C, Symons S, Mohammad Hassan Haddad S, Arnott SR, Binns M, Strother S, Beaton D, Sunderland K, Theyers A, Tan B, Zamyadi M, Levine B, Orange JB, Roberts AC, Lou W, Sujanthan S, Breen DP, Marras C, Kwan D, Adamo S, Peltsch A, Troyer AK, Black SE, McLaughlin PM, Lang AE, McIlroy W, Bartha R, Montero-Odasso M. White matter hyperintensity burden predicts cognitive but not motor decline in Parkinson's disease: results from the Ontario Neurodegenerative Diseases Research Initiative. Eur J Neurol 2023; 30:920-933. [PMID: 36692250 DOI: 10.1111/ene.15692] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 12/29/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND AND PURPOSE The pathophysiology of Parkinson's disease (PD) negatively affects brain network connectivity, and in the presence of brain white matter hyperintensities (WMHs) cognitive and motor impairments seem to be aggravated. However, the role of WMHs in predicting accelerating symptom worsening remains controversial. The objective was to investigate whether location and segmental brain WMH burden at baseline predict cognitive and motor declines in PD after 2 years. METHODS Ninety-eight older adults followed longitudinally from Ontario Neurodegenerative Diseases Research Initiative with PD of 3-8 years in duration were included. Percentages of WMH volumes at baseline were calculated by location (deep and periventricular) and by brain region (frontal, temporal, parietal, occipital lobes and basal ganglia + thalamus). Cognitive and motor changes were assessed from baseline to 2-year follow-up. Specifically, global cognition, attention, executive function, memory, visuospatial abilities and language were assessed as were motor symptoms evaluated using the Movement Disorder Society Unified Parkinson's Disease Rating Scale Part III, spatial-temporal gait variables, Freezing of Gait Questionnaire and Activities Specific Balance Confidence Scale. RESULTS Regression analysis adjusted for potential confounders showed that total and periventricular WMHs at baseline predicted decline in global cognition (p < 0.05). Also, total WMH burden predicted the decline of executive function (p < 0.05). Occipital WMH volumes also predicted decline in global cognition, visuomotor attention and visuospatial memory declines (p < 0.05). WMH volumes at baseline did not predict motor decline. CONCLUSION White matter hyperintensity burden at baseline predicted cognitive but not motor decline in early to mid-stage PD. The motor decline observed after 2 years in these older adults with PD is probably related to the primary neurodegenerative process than comorbid white matter pathology.
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Affiliation(s)
- Daniela Cristina Carvalho de Abreu
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, University of Western Ontario, Ontario, London, Canada
- Department of Physical Therapy, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Frederico Pieruccini-Faria
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, University of Western Ontario, Ontario, London, Canada
- Gait and Brain Laboratory, Lawson Health Research Institute, London, Ontario, Canada
| | | | - Alanna Black
- Gait and Brain Laboratory, Lawson Health Research Institute, London, Ontario, Canada
| | - Julia Fraser
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Karen Van Ooteghem
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Benjamin Cornish
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - David Grimes
- Department of Medicine (Neurology), Ottawa Hospital Research Institute, University of Ottawa Brain and Mind Research Institute, Ottawa, Ontario, Canada
| | - Mandar Jog
- Division of Neurology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Mario Masellis
- Cognitive and Movement Disorders Clinic, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Thomas Steeves
- Division of Neurology, Department of Medicine, St Michael's Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Nuwan Nanayakkara
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Christopher Scott
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Melissa Holmes
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Miracle Ozzoude
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Courtney Berezuk
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Sean Symons
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | | | - Stephen R Arnott
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Malcolm Binns
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Stephen Strother
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Derek Beaton
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Kelly Sunderland
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Athena Theyers
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Brian Tan
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Brian Levine
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Joseph B Orange
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Canadian Centre for Activity and Aging, Western University, London, Ontario, Canada
| | - Angela C Roberts
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Canadian Centre for Activity and Aging, Western University, London, Ontario, Canada
- Department of Computer Science, Western University, London, Ontario, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sujeevini Sujanthan
- Department of Ophthalmology and Visual Sciences, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| | - David P Breen
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Connie Marras
- Edmond J Safra Program in Parkinson's Disease, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Sabrina Adamo
- Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Alicia Peltsch
- Faculty of Engineering and Applied Science, Queen's University, Kingston, Ontario, Canada
| | - Angela K Troyer
- Neuropsychology and Cognitive Health Program, Baycrest Health Sciences, Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Sandra E Black
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | | | - Anthony E Lang
- Division of Neurology, Department of Medicine, Edmond J Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - William McIlroy
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Robarts Research Institute, Western University, London, Canada
| | | | - Manuel Montero-Odasso
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, University of Western Ontario, Ontario, London, Canada
- Gait and Brain Laboratory, Lawson Health Research Institute, London, Ontario, Canada
- Division of Geriatric Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
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5
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Geng J, Gao F, Ramirez J, Honjo K, Holmes MF, Adamo S, Ozzoude M, Szilagyi GM, Scott CJM, Stebbins GT, Nyenhuis DL, Goubran M, Black SE. Secondary thalamic atrophy related to brain infarction may contribute to post-stroke cognitive impairment. J Stroke Cerebrovasc Dis 2023; 32:106895. [PMID: 36495644 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 10/24/2022] [Accepted: 11/10/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND PURPOSE The thalamus is a key brain hub that is globally connected to many cortical regions. Previous work highlights thalamic contributions to multiple cognitive functions, but few studies have measured thalamic volume changes or cognitive correlates. This study investigates associations between thalamic volumes and post-stroke cognitive function. METHODS Participants with non-thalamic brain infarcts (3-42 months) underwent MRI and cognitive testing. Focal infarcts and thalami were traced manually. In cases with bilateral infarcts, the side of the primary infarct volume defined the hemisphere involved. Brain parcellation and volumetrics were extracted using a standardized and previously validated neuroimaging pipeline. Age and gender-matched healthy controls provided normal comparative thalamic volumes. Thalamic atrophy was considered when the volume exceeded 2 standard deviations greater than the controls. RESULTS Thalamic volumes ipsilateral to the infarct in stroke patients (n=55) were smaller than left (4.4 ± 1.4 vs. 5.4 ± 0.5 cc, p < 0.001) and right (4.4 ± 1.4 vs. 5.5 ± 0.6 cc, p < 0.001) thalamic volumes in the controls. After controlling for head-size and global brain atrophy, infarct volume independently correlated with ipsilateral thalamic volume (β= -0.069, p=0.024). Left thalamic atrophy correlated significantly with poorer cognitive performance (β = 4.177, p = 0.008), after controlling for demographics and infarct volumes. CONCLUSIONS Our results suggest that the remote effect of infarction on ipsilateral thalamic volume is associated with global post-stroke cognitive impairment.
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Affiliation(s)
- Jieli Geng
- Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Fuqiang Gao
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery (Sunnybrook site), Toronto, Ontario, Canada
| | - Kie Honjo
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery (Sunnybrook site), Toronto, Ontario, Canada
| | - Melissa F Holmes
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
| | - Sabrina Adamo
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
| | - Miracle Ozzoude
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
| | - Gregory M Szilagyi
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
| | - Christopher J M Scott
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
| | - Glen T Stebbins
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - David L Nyenhuis
- Hauenstein Neuroscience Center, Saint Mary's Health Care, Grand Rapids, MI, USA; LCC International University
| | - Maged Goubran
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery (Sunnybrook site), Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Ontario, Canada
| | - Sandra E Black
- LC Campbell Cognitive Neurology, Dr. Sandra Black Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Ontario, Canada; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery (Sunnybrook site), Toronto, Ontario, Canada; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Ontario, Canada.
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6
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Ottoy J, Ozzoude M, Zukotynski K, Kang MS, Adamo S, Scott C, Ramirez J, Swardfager W, Lam B, Bhan A, Mojiri P, Kiss A, Strother S, Bocti C, Borrie M, Chertkow H, Frayne R, Hsiung R, Laforce RJ, Noseworthy MD, Prato FS, Sahlas DJ, Smith EE, Kuo PH, Chad JA, Pasternak O, Sossi V, Thiel A, Soucy JP, Tardif JC, Black SE, Goubran M. Amyloid-PET of the white matter: Relationship to free water, fiber integrity, and cognition in patients with dementia and small vessel disease. J Cereb Blood Flow Metab 2023; 43:921-936. [PMID: 36695071 DOI: 10.1177/0271678x231152001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
White matter (WM) injury is frequently observed along with dementia. Positron emission tomography with amyloid-ligands (Aβ-PET) recently gained interest for detecting WM injury. Yet, little is understood about the origin of the altered Aβ-PET signal in WM regions. Here, we investigated the relative contributions of diffusion MRI-based microstructural alterations, including free water and tissue-specific properties, to Aβ-PET in WM and to cognition. We included a unique cohort of 115 participants covering the spectrum of low-to-severe white matter hyperintensity (WMH) burden and cognitively normal to dementia. We applied a bi-tensor diffusion-MRI model that differentiates between (i) the extracellular WM compartment (represented via free water), and (ii) the fiber-specific compartment (via free water-adjusted fractional anisotropy [FA]). We observed that, in regions of WMH, a decrease in Aβ-PET related most closely to higher free water and higher WMH volume. In contrast, in normal-appearing WM, an increase in Aβ-PET related more closely to higher cortical Aβ (together with lower free water-adjusted FA). In relation to cognitive impairment, we observed a closer relationship with higher free water than with either free water-adjusted FA or WM PET. Our findings support free water and Aβ-PET as markers of WM abnormalities in patients with mixed dementia, and contribute to a better understanding of processes giving rise to the WM PET signal.
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Affiliation(s)
- Julie Ottoy
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Miracle Ozzoude
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Katherine Zukotynski
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Departments of Medicine and Radiology, McMaster University, Hamilton, ON, Canada.,Department of Medical Imaging, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Min Su Kang
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Sabrina Adamo
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Christopher Scott
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Walter Swardfager
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Benjamin Lam
- Department of Medicine (Division of Neurology), Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Aparna Bhan
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Parisa Mojiri
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Alex Kiss
- Department of Research Design and Biostatistics, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Stephen Strother
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,The Rotman Research Institute Baycrest, University of Toronto, Toronto, ON, Canada
| | - Christian Bocti
- Service de Neurologie, Département de Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Michael Borrie
- Lawson Health Research Institute, Western University, London, ON, Canada
| | - Howard Chertkow
- Jewish General Hospital and Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Richard Frayne
- Departments of Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Robin Hsiung
- Physics and Astronomy Department and DM Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Robert Jr Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, Université Laval, Québec, QC, Canada
| | - Michael D Noseworthy
- Departments of Medicine and Radiology, McMaster University, Hamilton, ON, Canada.,Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
| | - Frank S Prato
- Lawson Health Research Institute, Western University, London, ON, Canada
| | | | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Phillip H Kuo
- Department of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, AZ, USA
| | - Jordan A Chad
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,The Rotman Research Institute Baycrest, University of Toronto, Toronto, ON, Canada
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Vesna Sossi
- Physics and Astronomy Department and DM Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Alexander Thiel
- Jewish General Hospital and Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Jean-Paul Soucy
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | | | - Sandra E Black
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medicine (Division of Neurology), Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Maged Goubran
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Physical Sciences Platform, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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7
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Sunderland KM, Beaton D, Arnott SR, Kleinstiver P, Kwan D, Lawrence-Dewar JM, Ramirez J, Tan B, Bartha R, Black SE, Borrie M, Brien D, Casaubon LK, Coe BC, Cornish B, Dilliott AA, Dowlatshahi D, Finger E, Fischer C, Frank A, Fraser J, Freedman M, Greenberg B, Grimes DA, Hassan A, Hatch W, Hegele RA, Hudson C, Jog M, Kumar S, Lang A, Levine B, Lou W, Mandzia J, Marras C, McIlroy W, Montero-Odasso M, Munoz DG, Munoz DP, Orange JB, Park DS, Pasternak SH, Pieruccini-Faria F, Rajji TK, Roberts AC, Robinson JF, Rogaeva E, Sahlas DJ, Saposnik G, Scott CJM, Seitz D, Shoesmith C, Steeves TDL, Strong MJ, Strother SC, Swartz RH, Symons S, Tang-Wai DF, Tartaglia MC, Troyer AK, Turnbull J, Zinman L, McLaughlin PM, Masellis M, Binns MA, Adamo S, Berezuk C, Black A, Breen DP, Bulman D, Chen Y, El‐Defrawy S, Farhan S, Ghani M, Gonder J, Haddad SMH, Holmes M, Huang J, Leontieva E, Mandelcorn E, Margolin E, Nanayakkara N, Ozzoude M, Peltsch AJ, Pollock B, Raamana P, Rashkovan N, Yanina, Southwell A, Sujanthan S, Tayyari F, Van Ooteghem K, Woulfe J, Zamyadi M, Zou G. Characteristics of the Ontario Neurodegenerative Disease Research Initiative cohort. Alzheimers Dement 2023; 19:226-243. [PMID: 36318754 DOI: 10.1002/alz.12632] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 12/01/2021] [Accepted: 12/17/2021] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Understanding synergies between neurodegenerative and cerebrovascular pathologies that modify dementia presentation represents an important knowledge gap. METHODS This multi-site, longitudinal, observational cohort study recruited participants across prevalent neurodegenerative diseases and cerebrovascular disease and assessed participants comprehensively across modalities. We describe univariate and multivariate baseline features of the cohort and summarize recruitment, data collection, and curation processes. RESULTS We enrolled 520 participants across five neurodegenerative and cerebrovascular diseases. Median age was 69 years, median Montreal Cognitive Assessment score was 25, median independence in activities of daily living was 100% for basic and 93% for instrumental activities. Spousal study partners predominated; participants were often male, White, and more educated. Milder disease stages predominated, yet cohorts reflect clinical presentation. DISCUSSION Data will be shared with the global scientific community. Within-disease and disease-agnostic approaches are expected to identify markers of severity, progression, and therapy targets. Sampling characteristics also provide guidance for future study design.
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Affiliation(s)
- Kelly M Sunderland
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Stephen R Arnott
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Peter Kleinstiver
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | | | - Joel Ramirez
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Robert Bartha
- Robarts Research Institute, Western University, London, Ontario, Canada.,Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Sandra E Black
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Michael Borrie
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,St. Joseph's Healthcare Centre, London, Ontario, Canada
| | - Donald Brien
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Leanne K Casaubon
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Toronto Western Hospital, Toronto, Ontario, Canada
| | - Brian C Coe
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Benjamin Cornish
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Allison A Dilliott
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Robarts Research Institute, Western University, London, Ontario, Canada
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Elizabeth Finger
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Lawson Health Research Institute, London, Ontario, Canada
| | - Corinne Fischer
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Andrew Frank
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Julia Fraser
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Morris Freedman
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Division of Neurology, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Barry Greenberg
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - David A Grimes
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute, Thunder Bay, Ontario, Canada
| | - Wendy Hatch
- Kensington Eye Institute, Toronto, Ontario, Canada.,Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Robert A Hegele
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Robarts Research Institute, Western University, London, Ontario, Canada
| | - Christopher Hudson
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.,School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada
| | - Mandar Jog
- London Health Sciences Centre, London, Ontario, Canada
| | - Sanjeev Kumar
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Lang
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Centre, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Brian Levine
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jennifer Mandzia
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Department of Clinical Neurological Sciences, London Health Sciences Centre, London, Ontario, Canada
| | - Connie Marras
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Centre, Toronto Western Hospital, Toronto, Ontario, Canada
| | - William McIlroy
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Manuel Montero-Odasso
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Lawson Health Research Institute, London, Ontario, Canada.,Gait and Brain Lab, Parkwood Institute, London, Ontario, Canada
| | - David G Munoz
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Joseph B Orange
- School of Communication Sciences and Disorders, Elborn College, Western University, London, Ontario, Canada
| | - David S Park
- Hotchkiss Brain Institute, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Stephen H Pasternak
- St. Joseph's Healthcare Centre, London, Ontario, Canada.,Cognitive Neurology and Alzheimer's Disease Research Centre, Parkwood Institute, London, Ontario, Canada
| | - Frederico Pieruccini-Faria
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Lawson Health Research Institute, London, Ontario, Canada.,Gait and Brain Lab, Parkwood Institute, London, Ontario, Canada
| | - Tarek K Rajji
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Angela C Roberts
- School of Communication Sciences and Disorders, Elborn College, Western University, London, Ontario, Canada.,Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
| | - John F Robinson
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Robarts Research Institute, Western University, London, Ontario, Canada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | | | - Gustavo Saposnik
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Christopher J M Scott
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Dallas Seitz
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | | | - Michael J Strong
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Canadian Institutes for Health Research, Ottawa, Ontario, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Richard H Swartz
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Sean Symons
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - David F Tang-Wai
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Angela K Troyer
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Neuropsychology and Cognitive Health, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - John Turnbull
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Lorne Zinman
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Paula M McLaughlin
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.,Nova Scotia Health, Halifax, Nova Scotia, Canada
| | - Mario Masellis
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Malcolm A Binns
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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8
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Haddad SMH, Scott CJM, Ozzoude M, Berezuk C, Holmes M, Adamo S, Ramirez J, Arnott SR, Nanayakkara ND, Binns M, Beaton D, Lou W, Sunderland K, Sujanthan S, Lawrence J, Kwan D, Tan B, Casaubon L, Mandzia J, Sahlas D, Saposnik G, Hassan A, Levine B, McLaughlin P, Orange JB, Roberts A, Troyer A, Black SE, Dowlatshahi D, Strother SC, Swartz RH, Symons S, Montero-Odasso M, ONDRI Investigators, Bartha R. Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity. Int J Biomed Imaging 2022; 2022:5860364. [PMID: 36313789 PMCID: PMC9616672 DOI: 10.1155/2022/5860364] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 04/21/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2023] Open
Abstract
Alterations in tissue microstructure in normal-appearing white matter (NAWM), specifically measured by diffusion tensor imaging (DTI) fractional anisotropy (FA), have been associated with cognitive outcomes following stroke. The purpose of this study was to comprehensively compare conventional DTI measures of tissue microstructure in NAWM to diverse vascular brain lesions in people with cerebrovascular disease (CVD) and to examine associations between FA in NAWM and cerebrovascular risk factors. DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured in cerebral tissues and cerebrovascular anomalies from 152 people with CVD participating in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). Ten cerebral tissue types were segmented including NAWM, and vascular lesions including stroke, periventricular and deep white matter hyperintensities, periventricular and deep lacunar infarcts, and perivascular spaces (PVS) using T1-weighted, proton density-weighted, T2-weighted, and fluid attenuated inversion recovery MRI scans. Mean DTI metrics were measured in each tissue region using a previously developed DTI processing pipeline and compared between tissues using multivariate analysis of covariance. Associations between FA in NAWM and several CVD risk factors were also examined. DTI metrics in vascular lesions differed significantly from healthy tissue. Specifically, all tissue types had significantly different MD values, while FA was also found to be different in most tissue types. FA in NAWM was inversely related to hypertension and modified Rankin scale (mRS). This study demonstrated the differences between conventional DTI metrics, FA, MD, AD, and RD, in cerebral vascular lesions and healthy tissue types. Therefore, incorporating DTI to characterize the integrity of the tissue microstructure could help to define the extent and severity of various brain vascular anomalies. The association between FA within NAWM and clinical evaluation of hypertension and disability provides further evidence that white matter microstructural integrity is impacted by cerebrovascular function.
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Affiliation(s)
- Seyyed M. H. Haddad
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada
| | - Christopher J. M. Scott
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | - Miracle Ozzoude
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | | | - Melissa Holmes
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | - Sabrina Adamo
- Clinical Neurosciences, University of Toronto, Toronto, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | - Stephen R. Arnott
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Nuwan D. Nanayakkara
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada
| | - Malcolm Binns
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Kelly Sunderland
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | | | - Jane Lawrence
- Thunder Bay Regional Health Research Institute, Thunder Bay, Canada
| | | | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Leanne Casaubon
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Jennifer Mandzia
- Department of Medicine, Division of Neurology, University of Western Ontario, London, Canada
| | - Demetrios Sahlas
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | | | - Ayman Hassan
- Thunder Bay Regional Research Institute, Thunder Bay, Canada
| | - Brian Levine
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | | | - J. B. Orange
- School of Communication Sciences and Disorders, Western University, London, Canada
| | - Angela Roberts
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorder, Northwestern University, Evanston, USA
| | - Angela Troyer
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
| | - Sandra E. Black
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
- Sunnybrook Health Sciences Centre, University of Toronto, Stroke Research Program, Toronto, Canada
| | | | - Stephen C. Strother
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Richard H. Swartz
- Sunnybrook Health Sciences Centre, University of Toronto, Stroke Research Program, Toronto, Canada
| | - Sean Symons
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Manuel Montero-Odasso
- Department of Medicine, Division of Geriatric Medicine, Parkwood Hospital, St. Joseph's Health Care London, London, Canada
| | - ONDRI Investigators
- Ontario Neurodegenerative Disease Initiative, Ontario Brain Institute, Toronto, Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada
- Department of Medical Biophysics, University of Western Ontario, London, Canada
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9
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Ottoy J, Ozzoude M, Zukotynski K, Adamo S, Scott C, Gaudet V, Ramirez J, Swardfager W, Cogo-Moreira H, Lam B, Bhan A, Mojiri P, Kang MS, Rabin JS, Kiss A, Strother S, Bocti C, Borrie M, Chertkow H, Frayne R, Hsiung R, Laforce RJ, Noseworthy MD, Prato FS, Sahlas DJ, Smith EE, Kuo PH, Sossi V, Thiel A, Soucy JP, Tardif JC, Black SE, Goubran M. Vascular burden and cognition: Mediating roles of neurodegeneration and amyloid PET. Alzheimers Dement 2022; 19:1503-1517. [PMID: 36047604 DOI: 10.1002/alz.12750] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 06/06/2022] [Accepted: 06/10/2022] [Indexed: 11/06/2022]
Abstract
It remains unclear to what extent cerebrovascular burden relates to amyloid beta (Aβ) deposition, neurodegeneration, and cognitive dysfunction in mixed disease populations with small vessel disease and Alzheimer's disease (AD) pathology. In 120 subjects, we investigated the association of vascular burden (white matter hyperintensity [WMH] volumes) with cognition. Using mediation analyses, we tested the indirect effects of WMH on cognition via Aβ deposition (18 F-AV45 positron emission tomography [PET]) and neurodegeneration (cortical thickness or 18 F fluorodeoxyglucose PET) in AD signature regions. We observed that increased total WMH volume was associated with poorer performance in all tested cognitive domains, with the strongest effects observed for semantic fluency. These relationships were mediated mainly via cortical thinning, particularly of the temporal lobe, and to a lesser extent serially mediated via Aβ and cortical thinning of AD signature regions. WMH volumes differentially impacted cognition depending on lobar location and Aβ status. In summary, our study suggests mainly an amyloid-independent pathway in which vascular burden affects cognitive function via localized neurodegeneration. HIGHLIGHTS: Alzheimer's disease often co-exists with vascular pathology. We studied a unique cohort enriched for high white matter hyperintensities (WMH). High WMH related to cognitive impairment of semantic fluency and executive function. This relationship was mediated via temporo-parietal atrophy rather than metabolism. This relationship was, to lesser extent, serially mediated via amyloid beta and atrophy.
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Affiliation(s)
- Julie Ottoy
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Miracle Ozzoude
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Katherine Zukotynski
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Departments of Medicine and Radiology, McMaster University, Hamilton, Ontario, Canada.,Department of Medical Imaging, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.,Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sabrina Adamo
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Christopher Scott
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Vincent Gaudet
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Walter Swardfager
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Hugo Cogo-Moreira
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Department of Education, ICT and Learning, Østfold University College, Halden, Norway
| | - Benjamin Lam
- Department of Medicine (Division of Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Aparna Bhan
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Parisa Mojiri
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Min Su Kang
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.,Physical Sciences Platform, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Jennifer S Rabin
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.,Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada
| | - Alex Kiss
- Department of Research Design and Biostatistics, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Stephen Strother
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,The Rotman Research Institute Baycrest, University of Toronto, Toronto, Ontario, Canada
| | - Christian Bocti
- Département de Médecine, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Michael Borrie
- Lawson Health Research Institute, Western University, London, Ontario, Canada
| | - Howard Chertkow
- Jewish General Hospital and Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Richard Frayne
- Departments of Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Robin Hsiung
- Physics and Astronomy Department and DM Center for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert Jr Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, Université Laval, Quebec City, Quebec, Canada
| | - Michael D Noseworthy
- Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada
| | - Frank S Prato
- Lawson Health Research Institute, Western University, London, Ontario, Canada
| | | | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Phillip H Kuo
- Department of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Arizona, USA
| | - Vesna Sossi
- Physics and Astronomy Department and DM Center for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander Thiel
- Jewish General Hospital and Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Jean-Paul Soucy
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Jean-Claude Tardif
- Montreal Heart Institute, Université de Montréal, Montreal, Quebec, Canada
| | - Sandra E Black
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Department of Medicine (Division of Neurology), University of Toronto, Toronto, Ontario, Canada.,Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Maged Goubran
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Physical Sciences Platform, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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10
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Nanayakkara ND, Arnott SR, Scott CJM, Solovey I, Liang S, Fonov VS, Gee T, Broberg DN, Haddad SMH, Ramirez J, Berezuk C, Holmes M, Adamo S, Ozzoude M, Theyers A, Sujanthan S, Zamyadi M, Casaubon L, Dowlatshahi D, Mandzia J, Sahlas D, Saposnik G, Hassan A, Swartz RH, Strother SC, Szilagyi GM, Black SE, Symons S, Investigators ONDRI, Bartha R. Increased brain volumetric measurement precision from multi-site 3D T1-weighted 3 T magnetic resonance imaging by correcting geometric distortions. Magn Reson Imaging 2022; 92:150-160. [PMID: 35753643 DOI: 10.1016/j.mri.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 04/29/2022] [Accepted: 06/19/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE Magnetic resonance imaging (MRI) scanner-specific geometric distortions may contribute to scanner induced variability and decrease volumetric measurement precision for multi-site studies. The purpose of this study was to determine whether geometric distortion correction increases the precision of brain volumetric measurements in a multi-site multi-scanner study. METHODS Geometric distortion variation was quantified over a one-year period at 10 sites using the distortion fields estimated from monthly 3D T1-weighted MRI geometrical phantom scans. The variability of volume and distance measurements were quantified using synthetic volumes and a standard quantitative MRI (qMRI) phantom. The effects of geometric distortion corrections on MRI derived volumetric measurements of the human brain were assessed in two subjects scanned on each of the 10 MRI scanners and in 150 subjects with cerebrovascaular disease (CVD) acquired across imaging sites. RESULTS Geometric distortions were found to vary substantially between different MRI scanners but were relatively stable on each scanner over a one-year interval. Geometric distortions varied spatially, increasing in severity with distance from the magnet isocenter. In measurements made with the qMRI phantom, the geometric distortion correction decreased the standard deviation of volumetric assessments by 35% and distance measurements by 42%. The average coefficient of variance decreased by 16% in gray matter and white matter volume estimates in the two subjects scanned on the 10 MRI scanners. CONCLUSION Geometric distortion correction using an up-to-date correction field is recommended to increase precision in volumetric measurements made from MRI images.
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Affiliation(s)
- Nuwan D Nanayakkara
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | | | - Christopher J M Scott
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Igor Solovey
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Shuai Liang
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada
| | - Vladimir S Fonov
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Tom Gee
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada
| | - Dana N Broberg
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Seyyed M H Haddad
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Joel Ramirez
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Courtney Berezuk
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Melissa Holmes
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Athena Theyers
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada
| | | | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada
| | - Leanne Casaubon
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Jennifer Mandzia
- Department of Medicine, Division of Neurology, Western University, London, ON, Canada
| | - Demetrios Sahlas
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | | | - Ayman Hassan
- Thunder Bay Regional Research Institute, Thunder Bay, ON, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Gregory M Szilagyi
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Sean Symons
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | | | - Robert Bartha
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Departments of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
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11
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Ramirez J, Berberian SA, Breen DP, Gao F, Ozzoude M, Adamo S, Scott CJ, Berezuk C, Yhap V, Mestre TA, Marras C, Tartaglia MC, Grimes D, Jog M, Kwan D, Tan B, Binns MA, Arnott SR, Bartha R, Symons S, Masellis M, Black SE, Lang AE. Small and Large Magnetic Resonance Imaging–Visible Perivascular Spaces in the Basal Ganglia of Parkinson's Disease Patients. Mov Disord 2022; 37:1304-1309. [DOI: 10.1002/mds.29010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/18/2022] [Accepted: 03/16/2022] [Indexed: 11/08/2022] Open
Affiliation(s)
- Joel Ramirez
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Stephanie A. Berberian
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - David P. Breen
- Centre for Clinical Brain Sciences University of Edinburgh Edinburgh United Kingdom
- Anne Rowling Regenerative Neurology Clinic University of Edinburgh Edinburgh United Kingdom
- Usher Institute of Population Health Sciences and Informatics University of Edinburgh Edinburgh United Kingdom
| | - Fuqiang Gao
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Miracle Ozzoude
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Tanz Centre for Research in Neurodegenerative Diseases University of Toronto Toronto Ontario Canada
| | - Sabrina Adamo
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Christopher J.M. Scott
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Courtney Berezuk
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Vanessa Yhap
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
| | - Tiago A. Mestre
- Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute University of Ottawa Ottawa Ontario Canada
| | - Connie Marras
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital Toronto Ontario Canada
| | - Maria C. Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases University of Toronto Toronto Ontario Canada
- Division of Neurology, Toronto Western Hospital University Health Network Toronto Ontario Canada
| | - David Grimes
- University of Ottawa Brain and Mind Research Institute Ottawa Hospital Research Institute Ottawa Ontario Canada
| | - Mandar Jog
- Department of Clinical Neurological Sciences Western University London Ontario Canada
| | - Donna Kwan
- Queen's University, Centre for Neuroscience Studies Kingston Ontario Canada
| | - Brian Tan
- Rotman Research Institute, Baycrest Health Sciences Centre Toronto Ontario Canada
| | - Malcolm A. Binns
- Rotman Research Institute, Baycrest Health Sciences Centre Toronto Ontario Canada
| | - Stephen R. Arnott
- Rotman Research Institute, Baycrest Health Sciences Centre Toronto Ontario Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Department of Medical Biophysics University of Western Ontario London Ontario Canada
| | - Sean Symons
- Department of Medical Imaging University of Toronto, Sunnybrook Health Sciences Centre Toronto Ontario Canada
| | - Mario Masellis
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Department of Medicine (Neurology) Sunnybrook Health Sciences Centre and University of Toronto Toronto Ontario Canada
| | - Sandra E. Black
- Dr. Sandra Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Rotman Research Institute, Baycrest Health Sciences Centre Toronto Ontario Canada
- Department of Medicine (Neurology) Sunnybrook Health Sciences Centre and University of Toronto Toronto Ontario Canada
| | - Anthony E. Lang
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital Toronto Ontario Canada
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12
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Mojiri Forooshani P, Biparva M, Ntiri EE, Ramirez J, Boone L, Holmes MF, Adamo S, Gao F, Ozzoude M, Scott CJM, Dowlatshahi D, Lawrence-Dewar JM, Kwan D, Lang AE, Marcotte K, Leonard C, Rochon E, Heyn C, Bartha R, Strother S, Tardif JC, Symons S, Masellis M, Swartz RH, Moody A, Black SE, Goubran M. Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation. Hum Brain Mapp 2022; 43:2089-2108. [PMID: 35088930 PMCID: PMC8996363 DOI: 10.1002/hbm.25784] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 12/14/2021] [Accepted: 01/10/2022] [Indexed: 01/18/2023] Open
Abstract
White matter hyperintensities (WMHs) are frequently observed on structural neuroimaging of elderly populations and are associated with cognitive decline and increased risk of dementia. Many existing WMH segmentation algorithms produce suboptimal results in populations with vascular lesions or brain atrophy, or require parameter tuning and are computationally expensive. Additionally, most algorithms do not generate a confidence estimate of segmentation quality, limiting their interpretation. MRI‐based segmentation methods are often sensitive to acquisition protocols, scanners, noise‐level, and image contrast, failing to generalize to other populations and out‐of‐distribution datasets. Given these concerns, we propose a novel Bayesian 3D convolutional neural network with a U‐Net architecture that automatically segments WMH, provides uncertainty estimates of the segmentation output for quality control, and is robust to changes in acquisition protocols. We also provide a second model to differentiate deep and periventricular WMH. Four hundred thirty‐two subjects were recruited to train the CNNs from four multisite imaging studies. A separate test set of 158 subjects was used for evaluation, including an unseen multisite study. We compared our model to two established state‐of‐the‐art techniques (BIANCA and DeepMedic), highlighting its accuracy and efficiency. Our Bayesian 3D U‐Net achieved the highest Dice similarity coefficient of 0.89 ± 0.08 and the lowest modified Hausdorff distance of 2.98 ± 4.40 mm. We further validated our models highlighting their robustness on “clinical adversarial cases” simulating data with low signal‐to‐noise ratio, low resolution, and different contrast (stemming from MRI sequences with different parameters). Our pipeline and models are available at: https://hypermapp3r.readthedocs.io.
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Affiliation(s)
- Parisa Mojiri Forooshani
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Mahdi Biparva
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Emmanuel E Ntiri
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Joel Ramirez
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Lyndon Boone
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Melissa F Holmes
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Fuqiang Gao
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Christopher J M Scott
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa Brain and Mind Institute, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | | | - Donna Kwan
- Department of Psychology, Faculty of Health, York University, Toronto, Ontario, Canada
| | - Anthony E Lang
- The Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Karine Marcotte
- School of Speech Pathology and Audiology, University of Montreal, Montreal, Quebec, Canada.,Centre intégré universitaire de santé et de services sociaux du Nord-de-l'île-de-Montréal, Montreal, Quebec, Canada
| | - Carol Leonard
- Audiology and Speech-Language Pathology Program, School of Rehabilitation Sciences, University of Ottawa, Ottawa, Ontario, Canada.,Department of Speech-Language Pathology and the Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth Rochon
- Department of Speech-Language Pathology and the Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada.,KITE Research Institute, Toronto Rehab, University Health Network, Toronto, Ontario, Canada
| | - Chris Heyn
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Robarts Research Institute, Western University, London, Ontario, Canada
| | - Stephen Strother
- Department of Medical Biophysics, Rotman Research Institute, Baycrest, University of Toronto, Toronto, Ontario, Canada
| | - Jean-Claude Tardif
- Montreal Heart Institute, University of Montreal, Montreal, Quebec, Canada
| | - Sean Symons
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Mario Masellis
- Department of Medicine (Neurology Division), Sunnybrook HSC and University of Toronto, Toronto, Ontario, Canada
| | - Richard H Swartz
- Department of Medicine (Neurology Division), Sunnybrook HSC and University of Toronto, Toronto, Ontario, Canada
| | - Alan Moody
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada.,Department of Medicine (Neurology Division), Sunnybrook HSC and University of Toronto, Toronto, Ontario, Canada
| | - Maged Goubran
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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13
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Zukotynski K, Black SE, Kuo PH, Bhan A, Adamo S, Scott CJM, Lam B, Masellis M, Kumar S, Fischer CE, Tartaglia MC, Lang AE, Tang-Wai DF, Freedman M, Vasdev N, Gaudet V. Exploratory Assessment of K-means Clustering to Classify 18F-Flutemetamol Brain PET as Positive or Negative. Clin Nucl Med 2021; 46:616-620. [PMID: 33883495 DOI: 10.1097/rlu.0000000000003668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
RATIONALE We evaluated K-means clustering to classify amyloid brain PETs as positive or negative. PATIENTS AND METHODS Sixty-six participants (31 men, 35 women; age range, 52-81 years) were recruited through a multicenter observational study: 19 cognitively normal, 25 mild cognitive impairment, and 22 dementia (11 Alzheimer disease, 3 subcortical vascular cognitive impairment, and 8 Parkinson-Lewy Body spectrum disorder). As part of the neurocognitive and imaging evaluation, each participant had an 18F-flutemetamol (Vizamyl, GE Healthcare) brain PET. All studies were processed using Cortex ID software (General Electric Company, Boston, MA) to calculate SUV ratios in 19 regions of interest and clinically interpreted by 2 dual-certified radiologists/nuclear medicine physicians, using MIM software (MIM Software Inc, Cleveland, OH), blinded to the quantitative analysis, with final interpretation based on consensus. K-means clustering was retrospectively used to classify the studies from the quantitative data. RESULTS Based on clinical interpretation, 46 brain PETs were negative and 20 were positive for amyloid deposition. Of 19 cognitively normal participants, 1 (5%) had a positive 18F-flutemetamol brain PET. Of 25 participants with mild cognitive impairment, 9 (36%) had a positive 18F-flutemetamol brain PET. Of 22 participants with dementia, 10 (45%) had a positive 18F-flutemetamol brain PET; 7 of 11 participants with Alzheimer disease (64%), 1 of 3 participants with vascular cognitive impairment (33%), and 2 of 8 participants with Parkinson-Lewy Body spectrum disorder (25%) had a positive 18F-flutemetamol brain PET. Using clinical interpretation as the criterion standard, K-means clustering (K = 2) gave sensitivity of 95%, specificity of 98%, and accuracy of 97%. CONCLUSIONS K-means clustering may be a powerful algorithm for classifying amyloid brain PET.
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Affiliation(s)
| | | | - Phillip H Kuo
- Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona Cancer Center, University of Arizona, Tucson, AZ
| | - Aparna Bhan
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto
| | - Sabrina Adamo
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto
| | - Christopher J M Scott
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto
| | | | | | | | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, St Michael's Hospital, University of Toronto
| | | | | | | | | | | | - Vincent Gaudet
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada
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14
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Geng J, Honjo K, Gao F, Ramirez J, Holmes M, Adamo S, Ozzoude M, Scott CJ, Goubran M, Nyenhuis DL, Black SE. Abstract P359: Secondary Thalamic Atrophy Related to Brain Infarction is Associated With Post-Stroke Cognitive Impairment. Stroke 2021. [DOI: 10.1161/str.52.suppl_1.p359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
The thalamus is globally connected to many brain regions. Previous work highlights thalamic contributions to multiple cognitive functions, but few studies have measured thalamic volume changes or explored correlates of such changes with post-stroke cognition. Hence this study investigates possible associations of thalamic volumes with post-stroke cognitive functions.
Methods:
Participants with brain infarcts (6-42 months) underwent volumetric brain MRI and cognitive testing, including the Montreal Cognitive Assessment (MoCA). Focal Brain infarcts and thalami were traced manually. If the patient had bilateral infarcts, the side of the primary infarct volume defined the hemisphere involved. Brain parcellation and volumetrics used our comprehensive semi-automatic brain region and vascular lesion extraction pipeline (Ramirez, Neuroimage, 2011). MRI in 24 age and gender-matched healthy people provided normal comparative thalamic volumes. Thalamic atrophy was defined by percent thalamic volume loss in the stroke hemisphere compared to the other side. Spearman correlation assessed relationships between thalamic and infarct volumes and MoCA scores. Logistic regression analysis assessed whether thalamic atrophy correlated with MoCA score.
Results:
Thalami volumes ipsilateral to the infarct in stroke patients (n=55) were smaller than left (4.4 ± 1.4 vs. 5.4 ± 0.8 cc, p = 0.012) and right (4.4 ± 1.4 vs. 5.3 ± 0.7 cc, p = 0.024) thalamic volumes in the controls. Thalamic volumes were inversely correlated with ipsilateral infarct volumes (r = -0.384, p = 0.004). After controlling for head-size and brain atrophy, infarct volume independently correlated with ipsilateral thalamic volume s (β= -0.068, P=0.026), and only frontal infarcts (β = 2.300, p = 0.021) independently contributed to > 15% ipsilateral thalamic atrophy. Left thalamic atrophy of > 10% correlated significantly with poorer MoCA performance (β = 3.139, p = 0.023), after controlling for demographics and infarct volumes.
Conclusions:
Our results suggest that remote effects of infarction on ipsilateral thalamic volume, presumably related to disrupted thalamic-cortical interconnectivity, is associated with a commonly used metric of post-stroke cognitive impairment.
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Affiliation(s)
- Jieli Geng
- Dept of Neurology, Renji Hosp, Sch of Medicine, Shanghai Jiaotong Univ, Shanghai, China
| | - Kie Honjo
- LC Campbell Cognitive Neurology Rsch Unit, Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute, Univ of Toronto, Toronto, Canada
| | - Fuqiang Gao
- LC Campbell Cognitive Neurology Rsch Unit, Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute, Univ of Toronto, Toronto, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology Rsch Unit, Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute, Univ of Toronto, Toronto, Canada
| | - Melissa Holmes
- LC Campbell Cognitive Neurology Rsch Unit, Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute, Univ of Toronto, Toronto, Canada
| | - Sabrina Adamo
- LC Campbell Cognitive Neurology Rsch Unit, Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute, Univ of Toronto, Toronto, Canada
| | - Miracle Ozzoude
- LC Campbell Cognitive Neurology Rsch Unit, Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute, Univ of Toronto, Toronto, Canada
| | - Christopher J Scott
- LC Campbell Cognitive Neurology Rsch Unit, Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute, Univ of Toronto, Toronto, Canada
| | - Maged Goubran
- LC Campbell Cognitive Neurology Rsch Unit, Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute, Univ of Toronto, Toronto, Canada
| | - David L Nyenhuis
- Hauenstein Neuroscience Cntr, Saint Mary’s Health Care, Grand Rapids, MI
| | - Sandra E Black
- LC Campbell Cognitive Neurology Rsch Unit, Hurvitz Brain Sciences Rsch Program, Sunnybrook Rsch Institute, Univ of Toronto, Toronto, Canada
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15
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Ntiri EE, Holmes MF, Forooshani PM, Ramirez J, Gao F, Ozzoude M, Adamo S, Scott CJM, Dowlatshahi D, Lawrence-Dewar JM, Kwan D, Lang AE, Symons S, Bartha R, Strother S, Tardif JC, Masellis M, Swartz RH, Moody A, Black SE, Goubran M. Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs. Neuroinformatics 2021; 19:597-618. [PMID: 33527307 DOI: 10.1007/s12021-021-09510-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/01/2021] [Indexed: 11/30/2022]
Abstract
Successful segmentation of the total intracranial vault (ICV) and ventricles is of critical importance when studying neurodegeneration through neuroimaging. We present iCVMapper and VentMapper, robust algorithms that use a convolutional neural network (CNN) to segment the ICV and ventricles from both single and multi-contrast MRI data. Our models were trained on a large dataset from two multi-site studies (N = 528 subjects for ICV, N = 501 for ventricular segmentation) consisting of older adults with varying degrees of cerebrovascular lesions and atrophy, which pose significant challenges for most segmentation approaches. The models were tested on 238 participants, including subjects with vascular cognitive impairment and high white matter hyperintensity burden. Two of the three test sets came from studies not used in the training dataset. We assessed our algorithms relative to four state-of-the-art ICV extraction methods (MONSTR, BET, Deep Extraction, FreeSurfer, DeepMedic), as well as two ventricular segmentation tools (FreeSurfer, DeepMedic). Our multi-contrast models outperformed other methods across many of the evaluation metrics, with average Dice coefficients of 0.98 and 0.96 for ICV and ventricular segmentation respectively. Both models were also the most time efficient, segmenting the structures in orders of magnitude faster than some of the other available methods. Our networks showed an increased accuracy with the use of a conditional random field (CRF) as a post-processing step. We further validated both segmentation models, highlighting their robustness to images with lower resolution and signal-to-noise ratio, compared to tested techniques. The pipeline and models are available at: https://icvmapp3r.readthedocs.io and https://ventmapp3r.readthedocs.io to enable further investigation of the roles of ICV and ventricles in relation to normal aging and neurodegeneration in large multi-site studies.
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Affiliation(s)
- Emmanuel E Ntiri
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Melissa F Holmes
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Parisa M Forooshani
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Joel Ramirez
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Fuqiang Gao
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Christopher J M Scott
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Dar Dowlatshahi
- Department of Medicine, The Ottawa Hospital, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Donna Kwan
- Department of Psychology, Faculty of Health, York University, Toronto, Canada
| | - Anthony E Lang
- The Edmond J. Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Canada.,Department of Medicine (Neurology division), University of Toronto, Toronto, Canada
| | - Sean Symons
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Robarts Research Institute, University of Western Ontario, London, Canada
| | - Stephen Strother
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | | | - Mario Masellis
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medicine (Neurology division), University of Toronto, Toronto, Canada.,Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medicine (Neurology division), University of Toronto, Toronto, Canada.,Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada
| | - Alan Moody
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.,Department of Medicine (Neurology division), University of Toronto, Toronto, Canada.,Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada
| | - Maged Goubran
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, Canada. .,Canadian Partnership for Stroke Recovery, Heart and Stroke Foundation, Toronto, Canada.
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16
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Ramirez J, Holmes MF, Scott CJM, Ozzoude M, Adamo S, Szilagyi GM, Goubran M, Gao F, Arnott SR, Lawrence-Dewar JM, Beaton D, Strother SC, Munoz DP, Masellis M, Swartz RH, Bartha R, Symons S, Black SE. Ontario Neurodegenerative Disease Research Initiative (ONDRI): Structural MRI Methods and Outcome Measures. Front Neurol 2020; 11:847. [PMID: 32849254 PMCID: PMC7431907 DOI: 10.3389/fneur.2020.00847] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 07/07/2020] [Indexed: 01/18/2023] Open
Abstract
The Ontario Neurodegenerative Research Initiative (ONDRI) is a 3 years multi-site prospective cohort study that has acquired comprehensive multiple assessment platform data, including 3T structural MRI, from neurodegenerative patients with Alzheimer's disease, mild cognitive impairment, Parkinson's disease, amyotrophic lateral sclerosis, frontotemporal dementia, and cerebrovascular disease. This heterogeneous cross-section of patients with complex neurodegenerative and neurovascular pathologies pose significant challenges for standard neuroimaging tools. To effectively quantify regional measures of normal and pathological brain tissue volumes, the ONDRI neuroimaging platform implemented a semi-automated MRI processing pipeline that was able to address many of the challenges resulting from this heterogeneity. The purpose of this paper is to serve as a reference and conceptual overview of the comprehensive neuroimaging pipeline used to generate regional brain tissue volumes and neurovascular marker data that will be made publicly available online.
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Affiliation(s)
- Joel Ramirez
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Melissa F Holmes
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Christopher J M Scott
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Miracle Ozzoude
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Sabrina Adamo
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Gregory M Szilagyi
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Maged Goubran
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Fuqiang Gao
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | | | | | - Derek Beaton
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
| | - Stephen C Strother
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Rotman Research Institute, Baycrest, Toronto, ON, Canada
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Sean Symons
- Department of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada
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17
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Goubran M, Ntiri EE, Akhavein H, Holmes M, Nestor S, Ramirez J, Adamo S, Ozzoude M, Scott C, Gao F, Martel A, Swardfager W, Masellis M, Swartz R, MacIntosh B, Black SE. Hippocampal segmentation for brains with extensive atrophy using three-dimensional convolutional neural networks. Hum Brain Mapp 2020; 41:291-308. [PMID: 31609046 PMCID: PMC7267905 DOI: 10.1002/hbm.24811] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 09/09/2019] [Accepted: 09/19/2019] [Indexed: 11/22/2022] Open
Abstract
Hippocampal volumetry is a critical biomarker of aging and dementia, and it is widely used as a predictor of cognitive performance; however, automated hippocampal segmentation methods are limited because the algorithms are (a) not publicly available, (b) subject to error with significant brain atrophy, cerebrovascular disease and lesions, and/or (c) computationally expensive or require parameter tuning. In this study, we trained a 3D convolutional neural network using 259 bilateral manually delineated segmentations collected from three studies, acquired at multiple sites on different scanners with variable protocols. Our training dataset consisted of elderly cases difficult to segment due to extensive atrophy, vascular disease, and lesions. Our algorithm, (HippMapp3r), was validated against four other publicly available state-of-the-art techniques (HippoDeep, FreeSurfer, SBHV, volBrain, and FIRST). HippMapp3r outperformed the other techniques on all three metrics, generating an average Dice of 0.89 and a correlation coefficient of 0.95. It was two orders of magnitude faster than some of the tested techniques. Further validation was performed on 200 subjects from two other disease populations (frontotemporal dementia and vascular cognitive impairment), highlighting our method's low outlier rate. We finally tested the methods on real and simulated "clinical adversarial" cases to study their robustness to corrupt, low-quality scans. The pipeline and models are available at: https://hippmapp3r.readthedocs.ioto facilitate the study of the hippocampus in large multisite studies.
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Affiliation(s)
- Maged Goubran
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
| | - Emmanuel Edward Ntiri
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
| | - Hassan Akhavein
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
| | - Melissa Holmes
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
| | - Sean Nestor
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
| | - Sabrina Adamo
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
| | - Miracle Ozzoude
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
| | - Christopher Scott
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
| | - Fuqiang Gao
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
| | - Anne Martel
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Walter Swardfager
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
- Department of Pharmacology and ToxicologyUniversity of TorontoTorontoOntarioCanada
| | - Mario Masellis
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
- Department of Medicine (Neurology division)University of TorontoTorontoOntarioCanada
| | - Richard Swartz
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
- Department of Medicine (Neurology division)University of TorontoTorontoOntarioCanada
| | - Bradley MacIntosh
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Sandra E. Black
- LC Campbell Cognitive Neurology UnitHurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Canadian Partnership for Stroke RecoveryHeart and Stroke FoundationTorontoOntarioCanada
- Department of Medical ImagingUniversity of TorontoTorontoOntarioCanada
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Ramirez J, Singh N, Adamo S, Maged Goubran, Thayalasuthan V, Zhang B, Tardif JC, Black SE, Moody AR. Carotid Atherosclerosis and Cerebral Small Vessel Disease: Preliminary Results from the Canadian Atherosclerosis Imaging Network Project 1. ATHEROSCLEROSIS SUPP 2018. [DOI: 10.1016/j.atherosclerosissup.2018.04.473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Adamo S, Nilsson J, Krebs A, Steiner U, Cozzio A, French LE, Kolios AGA. Successful treatment of SAPHO syndrome with apremilast. Br J Dermatol 2018; 179:959-962. [PMID: 29034454 DOI: 10.1111/bjd.16071] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/10/2017] [Indexed: 01/02/2023]
Abstract
SAPHO (synovitis, acne, pustulosis, hyperostosis and osteitis) syndrome is a rare disease with inflammatory osteoarticular and skin involvement. The pathogenesis of SAPHO syndrome remains unclear, but evidence suggests it may be an autoinflammatory disease triggered upon exposure to infectious agents in genetically predisposed individuals. Induction of the interleukin (IL)-23/T helper 17 axis in addition to neutrophil activation seem to play a key role, and therapies targeting these immunological pathways, including tumour necrosis factor (TNF) inhibitors, ustekinumab, secukinumab and the IL-1 inhibitor anakinra, are potential treatment options that need further investigation. Here we report a case of a 24-year-old woman with SAPHO syndrome who presented at our clinic with palmoplantar pustulosis and sternoclavicular joint involvement. Previous treatments with topical steroids and keratolytics combined with nonsteroidal anti-inflammatory drugs, intravenous methylprednisolone, methotrexate and sulfasalazine had all failed to improve symptoms. Therapy with etanercept was not tolerated, and because of a previous demyelinating peripheral neuropathy, further treatment with TNF inhibitors was avoided. We initiated ustekinumab 45 mg, which improved skin manifestations but not joint pain. Dose escalation to 90 mg initially improved joint pain, but the dose had to be reduced to 45 mg again because of increased infections. During subsequent 45-mg ustekinumab treatment, joint pain exacerbated so we switched to adalimumab which caused an exacerbation of the disease, so we switched to secukinumab, which improved skin and joint symptoms significantly but was associated with a pustular hypersensitivity reaction. Finally, we began treatment with apremilast, a pan-cytokine approach, resulting in stabilization of the skin and joint symptoms without side-effects. To our knowledge, this is the first case report of apremilast as a treatment for SAPHO syndrome.
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Affiliation(s)
| | | | | | | | - A Cozzio
- Department of Dermatology, University Hospital, Zurich, Switzerland
| | - L E French
- Department of Dermatology, Venerology and Allergology, Kantonsspital, St. Gallen, Switzerland
| | - A G A Kolios
- Department of Immunology.,Department of Dermatology, Venerology and Allergology, Kantonsspital, St. Gallen, Switzerland
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Vellucci R, Fanelli G, Pannuti R, Peruselli C, Adamo S, Alongi G, Amato F, Consoletti L, Lamarca L, Liguori S, Lo Presti C, Maione A, Mameli S, Marinangeli F, Marulli S, Minotti V, Miotti D, Montanari L, Moruzzi G, Palermo S, Parolini M, Poli P, Tirelli W, Valle A, Romualdi P. What to Do, and What Not to Do, When Diagnosing and Treating Breakthrough Cancer Pain (BTcP): Expert Opinion. Drugs 2016; 76:315-30. [PMID: 26755179 PMCID: PMC4757619 DOI: 10.1007/s40265-015-0519-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Clinical management of breakthrough cancer
pain (BTcP) is still not satisfactory despite the availability of effective pharmacological agents. This is in part linked to the lack of clarity regarding certain essential aspects of BTcP, including terminology, definition, epidemiology and assessment. Other barriers to effective management include a widespread prejudice among doctors and patients concerning the use of opioids, and inadequate assessment of pain severity, resulting in the prescription of ineffective drugs or doses. This review presents an overview of the appropriate and inappropriate actions to take in the diagnosis and treatment of BTcP, as determined by a panel of experts in the field. The ultimate aim is to provide a practical contribution to the unresolved issues in the management of BTcP. Five ‘things to do’ and five ‘things not to do’ in the diagnosis and treatment of BTcP are proposed, and evidence supporting said recommendations are described. It is the duty of all healthcare workers involved in managing cancer patients to be mindful of the possibility of BTcP occurrence and not to underestimate its severity. It is vital that all the necessary steps are carried out to establish an accurate and timely diagnosis, principally by establishing effective communication with the patient, the main information source. It is crucial that BTcP is treated with an effective pharmacological regimen and drug(s), dose and administration route prescribed are designed to suit the particular type of pain and importantly the individual needs of the patient.
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Affiliation(s)
| | - R Vellucci
- SOD Cure Palliative e Terapia del Dolore, Ospedale Universitario Careggi, Florence, Italy.
| | - G Fanelli
- SC Anestesia, Rianimazione e Terapia Antalgica, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - R Pannuti
- Fondazione ANT Italia Onlus, Andria, Italy
| | - C Peruselli
- SC Cure Palliative, Ospedale di Biella, Ponderano, BI, Italy
| | - S Adamo
- UO Terapia del Dolore, ARNAS Civico di Palermo, Palermo, Italy
| | - G Alongi
- Hospice e Cure Palliative, ASP 1di Agrigento, Agrigento, Italy
| | - F Amato
- UOC Terapia del Dolore e Cure Palliative, Azienda ospedaliera di Cosenza, Cosenza, Italy.,Past President Feder Dolore-SICD, Cosenza, Italy
| | - L Consoletti
- Struttura di Medicina del Dolore, Ospedale Universitario "Ospedali Riuniti", Foggia, Italy
| | - L Lamarca
- UOS Cure Palliative e Terapia Antalgica, Azienda ULSS N. 10 "Veneto Orientale", San Donà di Piave, VE, Italy
| | - S Liguori
- USC Cure Palliative Terapia del Dolore, Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy
| | - C Lo Presti
- UOD Terapia del Dolore e Cure Palliative, ACO San Filippo Neri, ASLRME, Rome, Italy
| | - A Maione
- Terapia antalgica e Cure Palliative, Presidio Ospedaliero "S. Maria della Pietà", Nola, NA, Italy
| | - S Mameli
- SC Terapia del Dolore, Presidio Ospedaliero "A. Businco", Cagliari, Italy
| | - F Marinangeli
- Scuola di Specializzazione di Anestesia, Rianimazione e Terapia Intensiva, Università dell'Aquila, L'Aquila, Italy
| | - S Marulli
- OC Anestesia, Rianimazione e Terapia Iperbarica, UOS-I Gruppo Operatorio, Ospedale "Vito Fazzi", Lecce, Italy
| | - V Minotti
- SC Oncologia Medica, Azienda Ospedaliera "S.M. della Misericordia", Perugia, Italy
| | - D Miotti
- UO Cure Palliative e Terapia del Dolore, Fondazione Salvatore Maugeri-IRCCS, Pavia, Italy
| | - L Montanari
- UO Semplice Cure Palliative, Ravenna, Italy.,Dipartimento Onco-ematologico, AUSL della Romagna c/o Presidio Ospedaliero Umberto I, Lugo di Ravenna, Italy
| | - G Moruzzi
- UOS Hospice, Azienda Sanitaria Provinciale di Siracusa, Siracuse, Italy
| | - S Palermo
- UOC Terapia Antalgica, IRCCS San Martino-IST, Genoa, Italy
| | - M Parolini
- UOC Anestesia e Rianimazione B, Azienda Universitaria integrata di Verona, Verona, Italy
| | - P Poli
- UO Terapia del Dolore, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - W Tirelli
- Centro di Terapia del Dolore, Hospice "Fondazione Roma Sanità", Rome, Italy.,Centro di Rianimazione e Terapia del Dolore e Cure Palliative, Istituto Nazionale Tumori "Regina Elena", Rome, Italy
| | - A Valle
- Fondazione FARO, Turin, Italy
| | - P Romualdi
- Dipartimento di Farmacia e Biotecnologie, Alma mater studiorum, Università di Bologna, Bologna, Italy
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22
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Adamo S, Biggs A, Mitroff S. Visual Searches Need Their Own Personal Space: The Importance of Spacing Between Simultaneously Presented Search Arrays. J Vis 2013. [DOI: 10.1167/13.9.683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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23
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Carta M, Petretto D, Adamo S, Bhat K, Lecca M, Mura G, Carta V, Angermeyer M, Moro M. Counseling in primary care improves depression and quality of life. Clin Pract Epidemiol Ment Health 2012; 8:152-7. [PMID: 23173011 PMCID: PMC3502887 DOI: 10.2174/1745017901208010152] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2012] [Revised: 05/14/2012] [Accepted: 03/14/2012] [Indexed: 11/24/2022]
Abstract
Introduction: To measure the effectiveness on Quality of Life of adjunctive cognitive behavioral counseling in the setting of General Practitioners (GPs) along with the treatment as usual (TAU;) for the treatment of depression. Methods: Six month-controlled trial of patients who were referred to randomly assigned GPs (four for experimental group of patients and ten for the control) was done. Experimental sample had 34 patients with DSM-IV diagnosis of Depression (Depressed Episode, Dysthymia, or Adjustment Disorder with Depressed Mood) receiving the TAU supplemented with counseling. Control group had 30 patients with diagnosis of Depression receiving only the TAU. Results: The Beck Depression Inventory (BDI) score improved in both groups. Patients in the experimental group showed greater improvement compared to the control group at T2. The World Health Organization Quality OF Life Questionnaire (WHOQOL) score also improved in the experimental group but not in the control group. The improvement in the experimental group was statistically significant in terms of both BDI and WHOQOL scores. Conclusions: Adding counseling to TAU in general medical practice settings is more effective in controlling the symptoms of depression and improving the quality of life as measured over a period of six months, than TAU alone. These results while encouraging, also calls for a larger study involving a largersample size and a longer period of time.
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Affiliation(s)
- Mg Carta
- Centro di Psichiatria di Consultazione e Psicosomatica, University of Cagliari and AOU Cagliari, Italy
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de Sherbinin A, Castro M, Gemenne F, Cernea MM, Adamo S, Fearnside PM, Krieger G, Lahmani S, Oliver-Smith A, Pankhurst A, Scudder T, Singer B, Tan Y, Wannier G, Boncour P, Ehrhart C, Hugo G, Pandey B, Shi G. Climate change. Preparing for resettlement associated with climate change. Science 2011; 334:456-7. [PMID: 22034418 DOI: 10.1126/science.1208821] [Citation(s) in RCA: 167] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- A de Sherbinin
- Center for International Earth Science Information Network (CIESIN), The Earth Institute, Columbia University, Palisades, NY 10964, USA.
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25
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Galetta D, Gebbia V, Romito S, Ferraù F, De Marinis F, Cigolari S, Adamo S, Colucci G. Activity and tolerability of Cisplatin (CDDP) and Fotemustine (FTM) combination in the treatment of patients with non-small cell lung cancer (NSCLC) with brain metastases (BM): A multicentric phase II study of the Gruppo Oncologico dell’Italia Meridionale (GOIM). EJC Suppl 2008. [DOI: 10.1016/j.ejcsup.2008.06.095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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26
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Carrara M, Desideri S, Azzurro M, Bulighin GM, Di Piramo D, Lomonaco L, Adamo S. Small intestine bacterial overgrowth in patients with irritable bowel syndrome. Eur Rev Med Pharmacol Sci 2008; 12:197-202. [PMID: 18700692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Recent investigations in patients with irritable bowel syndrome (IBS) undergoing a breath test (BT) with lactulose, have shown inconclusive results on a possible association between IBS and a small intestine bacterial overgrowth (SIBO), as well as on the effective prevalence of SIBO in IBS patients, because of different geographic areas involved and different criteria adopted for the BT positivity. The aim of this study was to estimate the prevalence of SIBO among IBS patients by means a lactulose BT. Between January 2005 and December 2006, all the patients who were sent to our Gastroenterology Unit by general practitioners (GPs) for "functional" gastrointestinal (GI) symptoms, underwent a lactulose BT for diagnosis of SIBO. The test was considered positive if the hydrogen concentrations in the expired air increased more than 20 ppm over basal values within 90 minutes. A total of 127 patients have been selected, 28 males and 99 females, aged between 17 and 76 (mean age: 41.4 years), with an IBS diagnosis based on the Roma II criteria. Fifty-five patients (43%) resulted positive to the lactulose BT. No significant difference was observed between IBS patients with (SIBO+) and without (SIBO-) an intestinal bacteria contamination. In conclusion, our results indicate that SIBO is relatively frequent in IBS patients and that execution of a lactulose BT should be encouraged in all these patients, being the only way to make correct diagnosis of SIBO and establish a valid therapeutic treatment.
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Affiliation(s)
- M Carrara
- Department of Gastroenterology, Ospedale Orlandi, Bussolengo, Verona, Italy.
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27
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Miserocchi G, Messinesi G, Tana F, Passoni E, Adamo S, Romano R, Beretta E. Mechanisms behind inter-individual differences in lung diffusing capacity. Eur J Appl Physiol 2007; 102:561-8. [DOI: 10.1007/s00421-007-0625-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2007] [Indexed: 11/29/2022]
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28
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Musarò A, Giacinti C, Pelosi L, Dobrowolny G, Barberi L, Nardis C, Coletti D, Scicchitano BM, Adamo S, Molinaro M. Stem cell-mediated muscle regeneration and repair in aging and neuromuscular diseases. Eur J Histochem 2007; 51 Suppl 1:35-43. [PMID: 17703592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023] Open
Abstract
One of the most exciting aspirations of current medical science is the regeneration of damaged body parts. The capacity of adult tissues to regenerate in response to injury stimuli represents an important homeostatic process that until recently was thought to be limited in mammals to tissues with high turnover such as blood and skin. However, it is now generally accepted that each tissue type, even those considered post-mitotic, such as nerve or muscle, contains a reserve of undifferentiated progenitor cells, loosely termed stem cells, participating in tissue regeneration and repair. Skeletal muscle regeneration is a coordinate process in which several factors are sequentially activated to maintain and preserve muscle structure and function upon injury stimuli. In this review, we will discuss the role of stem cells in muscle regeneration and repair and the critical role of specific factors, such as IGF-1, vasopressin and TNF-alpha, in the modulation of the myogenic program and in the regulation of muscle regeneration and homeostasis.
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Affiliation(s)
- A Musarò
- Department of Histology and Medical Embryology, CE-BEMM and Interuniversity Institute of Myology, Sapienza University of Rome, Italy.
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29
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De Arcangelis V, Coletti D, Canato M, Molinaro M, Adamo S, Reggiani C, Naro F. Hypertrophy and transcriptional regulation induced in myogenic cell line L6-C5 by an increase of extracellular calcium. J Cell Physiol 2005; 202:787-95. [PMID: 15389566 DOI: 10.1002/jcp.20174] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Calcium plays a pivotal role in the establishment of the differentiated phenotype in myogenic cells but the involved molecular mechanisms are still matter of debate. Here we studied the effects of exposing L6-C5 myogenic cells to high extracellular Ca2+ concentration ([Ca2+]o), which induces an increase of intracellular calcium ([Ca2+]i) without involving Ca2+ release from the intracellular stores but exclusively due to plasma membrane influx (Naro et al., 2003). Exposure of L6-C5 cells to [Ca2+]o up to 20 mM for 30 min, before shifting them into a differentiative medium, induced the appearance of multinucleated, myosin-positive myotubes, much larger than in control cells with an increased protein/DNA ratio. These large myotubes showed nuclear accumulation of the hypertrophy marker GATA-2. The hypertrophic growth of these cells was blocked by cyclosporin A (CsA), FK506, or overexpression of a calcineurin-dominant negative protein, suggesting the involvement in this process of the Ca2+ responsive phosphatase calcineurin. Furthermore, transient exposure of L6-C5 cells to high [Ca2+]o increased the expression of luciferase reporter driven by myoglobin (Mb) and beta-MHC promoters but not IIB-MHC and MCK promoters. Luciferase transcription driven by CK promoter was, instead, enhanced by mobilizing Ca2+ from the intracellular stores. These data indicate that a transient increase of [Ca2+]i due to plasma-membrane influx is sufficient to induce a hypertrophic phenotype and an increased expression of slow-fiber genes but not fast-fiber genes.
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Affiliation(s)
- V De Arcangelis
- Dipartimento di Istologia ed Embriologia Medica, Università di Roma La Sapienza, Italy
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30
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Cannavò A, Cecil P, Cortesi M, Coletti D, Adamo S, Naro F, Tomei F. [PCBs cause necrosis of L6C5 myoblasts]. G Ital Med Lav Ergon 2005; 27:244-9. [PMID: 16124539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Polychlorinated biphenyls (PCBs) are structurally related to dioxins, widely used in the past in various industrial applications and daily used products. Although PCBs production was discontinued more than twenty years ago, their chemical stability and high lipophilicity make them persistent pollutants and dangerous occupational contaminants. Skeletal muscle is an important site of PCB accumulation. Our previous results about the effects of PCBs on L6C5 myoblasts, showed that "low concentrations" (< 10 microg/ml) of these compounds inhibit in vitro myogenic differentiation in a concentration-dependent fashion, while toxic effects only begin to be evident at PCB concentrations > or = 10 microg/ml. In the present paper we wondered if the observed cell mortality is due to necrosis or if it depends on the activation of programmed cell death mechanisms (apoptosis). Using different methods of analysis, we have observed that PCBs cause necrosis of myogenic cells and that such effect is related to the employed concentrations and to the time of exposure (EC50 approximately = 50 microg/ml). Our results may help to explain the creatin kinase elevation, observed in the blood of patients acutely exposed to high concentrations of PCBs, as the consequence of a necrotic damage of the skeletal muscle. It will be therefore interesting to evaluate the presence of muscular damages in the chronic exposures to PCBs.
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Affiliation(s)
- A Cannavò
- Cattedra e Scuola di Specializzazione in Medicina del Lavoro, I(a) Facoltà di Medicina e Chirurgia, Università degli Studi di Roma La Sapienza
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Campieri M, Adamo S, Valpiani D, D'Arienzo A, D'Albasio G, Pitzalis M, Cesari P, Casetti T, Castiglione GN, Rizzello F, Manguso F, Varoli G, Gionchetti P. Oral beclometasone dipropionate in the treatment of extensive and left-sided active ulcerative colitis: a multicentre randomised study. Aliment Pharmacol Ther 2003; 17:1471-80. [PMID: 12823149 DOI: 10.1046/j.1365-2036.2003.01609.x] [Citation(s) in RCA: 80] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
AIM To explore the efficacy and safety of the topically acting steroid beclometasone dipropionate (BDP) in an oral controlled release formulation in the treatment of extensive or left-sided ulcerative colitis. METHODS In a multicentre, randomised, parallel-group, single-blind study, patients with active mild to moderate ulcerative colitis were randomised to a 4-week treatment with BDP 5 mg/day o.d. vs. 5-ASA 0.8 g t.d.s. The primary efficacy variable was the decrease of Disease Activity Index (DAI) (clinical symptoms and endoscopic appearance of mucosa). Safety was evaluated by monitoring adverse events, vital signs, haematochemical parameters and adrenal function. RESULTS One hundred and seventy-seven patients were enrolled and randomly treated with BDP (n = 90) or 5-ASA (n = 87). Mean DAI score decreased in both treatments groups (P < 0.0001 vs. baseline for both groups). Clinical remission was achieved in 63.0% of patients in the BDP group vs. 62.5% in the 5-ASA group. A significant DAI score improvement (P < 0.05) in favour of BDP was observed in patients with extensive disease. Both treatments were well tolerated. Mean plasma cortisol levels were significantly reduced vs. baseline in BDP recipients, but without signs of pituitary-adrenal function depletion. CONCLUSION Oral BDP gave an overall treatment result in patients with active ulcerative colitis without signs of systemic side-effects.
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Affiliation(s)
- M Campieri
- Institute of Clinical Medicine, S.Orsola-Malpighi Hospital, University of Bologna, Verona, Italy.
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Rizzello F, Gionchetti P, D'Arienzo A, Manguso F, Di Matteo G, Annese V, Valpiani D, Casetti T, Adamo S, Prada A, Castiglione GN, Varoli G, Campieri M. Oral beclometasone dipropionate in the treatment of active ulcerative colitis: a double-blind placebo-controlled study. Aliment Pharmacol Ther 2002; 16:1109-16. [PMID: 12030952 DOI: 10.1046/j.1365-2036.2002.01298.x] [Citation(s) in RCA: 106] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
AIM To evaluate efficacy and safety of oral beclometasone dipropionate (BDP) when added to 5-ASA in the treatment of patients with active ulcerative colitis. METHODS In a 4-week, placebo-controlled, double-blind study, patients with extensive or left-sided mild to moderate active ulcerative colitis were randomized to receive oral 5-ASA (3.2 g/day) plus BDP (5 mg/day) or placebo. Clinical, endoscopic and histologic features, and haematochemical parameters were recorded at baseline and at the end of the study. RESULTS One hundred and nineteen patients were enrolled and randomly treated with BDP plus 5-ASA (n = 58) or placebo plus 5-ASA (n = 61). Both treatment groups showed a statistically significant decrease of disease activity index (DAI) and histology score at the end of treatment (P = 0.001, each). DAI score was lower in the BDP group than in the placebo group (P = 0.014), with more patients in clinical remission in the BDP group (58.6% vs. 34.4%, P = 0.008). Serum cortisol levels significantly decreased in BDP group vs. baseline (P = 0.002), but without signs of pituitary-adrenal function depletion. A low incidence of adverse events was observed in both groups. CONCLUSIONS Oral BDP in combination with oral 5-ASA is significantly more effective than 5-ASA alone in the treatment of patients with extensive or left-sided active ulcerative colitis.
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Affiliation(s)
- F Rizzello
- Institute of Clinical Medicine, S.Orsola-Malpighi Hospital, University of Bologna, Via Massarenti 9, 40138 Bologna, Italy
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Adamo S. Order and progress for some--death and disease for others: living conditions of non-whites in Rio de Janeiro, 1890-1940. Stud Soc Sci West Ga Coll 2001; 25:17-30. [PMID: 11618187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
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Coletti D, Palleschi S, Silvestroni L, Cannavò A, Vivarelli E, Tomei F, Molinaro M, Adamo S. Polychlorobiphenyls inhibit skeletal muscle differentiation in culture. Toxicol Appl Pharmacol 2001; 175:226-33. [PMID: 11559021 DOI: 10.1006/taap.2001.9237] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Polychlorinated biphenyls (PCBs) are ubiquitous and persistent pollutants whose role in developmental toxicity is of great concern. The observation that the offspring of PCB-exposed mothers (both in humans and rodents) display reduced body mass prompted us to investigate the effects of commercial mixtures of PCB congeners (Aroclor 1232, 1254, and 1262) on differentiation of both a myogenic cell line and primary myogenic cell cultures. The fusion of L6 myoblasts into multinucleated myotubes and the increase of creatine kinase (CK) activity were dose-dependently inhibited by Aroclor 1254 at concentrations (0.1-4 microg/ml) that caused no effect on cell density. Ultrastructural analysis demonstrated that Aroclor 1254 also prevented the accumulation of contractile filaments while inducing hypertrophy of the smooth endoplasmic reticulum and appearance of membrane-filled autophagosomes. Half-maximal inhibition (IC50) of CK activity accumulation occurred at 0.01 microg/ml for Aroclor 1262, 2 microg/ml for Aroclor 1254, and 8 microg/ml for Aroclor 1232. Aroclor-dependent inhibition of myogenic differentiation was also shown by the reduced expression and nuclear accumulation of beta-galactosidase in primary cultures of fetal myoblasts from transgenic mice expressing this reporter gene under the control of the myosin light chain promoter. These data show that skeletal muscle differentiation is specifically impaired by PCBs and may explain the reported depression of body mass growth in PCB-exposed offspring at birth. Furthermore, myogenic cell cultures are highly sensitive to PCBs and allow the detection of biological effects of environmental levels of these pollutants.
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Affiliation(s)
- D Coletti
- Department of Histology and Medical Embryology, University La Sapienza, 00185 Rome, Italy
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Coletti D, Palleschi S, Silvestroni L, Tomei F, Molinaro M, Adamo S. Surface remodeling associated with vasopressin-induced membrane traffic in L6 myogenic cells. Arch Histol Cytol 2001; 63:441-9. [PMID: 11201202 DOI: 10.1679/aohc.63.441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The plasma membrane is dynamically remodeled as a function of the cell cycle, motility and membrane traffic. We have previously shown that arg8-vasopressin (AVP) stimulation of L6 myoblasts induces the activation of phosholipase D during the first minutes of stimulation, and the differentiation of 1,6 myoblasts as a long term effect. We now report that AVP also induces two types of morphological responses in L6 cells within a few minutes of stimulation: exocytosis, apparent as uncoated pits, and the generation of membrane projections and reffles. Thus, such an experimental model is suitable for the study of hormone-induced morphological surface modifications and their regulatory mechanisms. In L6 cells, AVP-induced projection generation depends on the integrity of microfilaments, intermediate filaments, and microtubules. Moreover, projection generation and exocytosis appear to be independently regulated phenomena: in fact, inhibition of the de novo synthesis of phosphatidylcholine inhibits membrane traffic but fails to block projection appearance. Conversely, the latter phenomenon, unlike exocytosis, is mediated by PI3-kinase signaling. Thus, AVP induces two early, independently regulated morphological modifications in L6 cells: exocytosis, involved in plasma membrane phospholipid turnover, and membrane projections, likely involved in cell migration.
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Affiliation(s)
- D Coletti
- Department of Histology and Medical Embryology, University La Sapienza, Rome, Italy
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Coletti D, Silvestroni L, Naro F, Molinaro M, Adamo S, Palleschi S. Vesicle-mediated phosphatidylcholine reapposition to the plasma membrane following hormone-induced phospholipase D activation. Exp Cell Res 2000; 256:94-104. [PMID: 10739656 DOI: 10.1006/excr.2000.4812] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Phospholipase D (PLD) activation involved in signal transduction may lead to the hydrolysis of conspicuous amounts of phosphatidylcholine (PC). This study shows that PLD activation significantly alters the plasma membrane (PM) environment and the membrane exchange dynamics. PC-PLD activation in vasopressin (AVP)-stimulated L6 myogenic cells was accompanied by increased exocytosis and decreased membrane fluidity, as shown by transmission EM and fluorescence spectroscopy of trimethylammonium-diphenyl-hexatriene. AVP-induced exocytosis appeared to be brefeldin A-insensitive. PLD inhibition by Zn(2+) and PC de novo synthesis inhibition by hexadecylphosphocholine abolished AVP-induced vesicle traffic. Upon AVP stimulation, metabolically labeled PC decreased in PM, then transiently increased in microsomes, and returned to the prestimulus level in the PM within 5 min, a phenomenon requiring PC neosynthesis and microtubule functionality. Vesicle traffic with similar features was also observed after endothelin-1-induced PC-PLD activation in rat peritubular myoid cells. These results indicate that, in nonsecretory cells, exocytosis coupled to PC de novo synthesis restores PM-PC, conspicuously consumed during PLD-mediated signal transduction.
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Affiliation(s)
- D Coletti
- Department of Histology and Medical Embryology, University "La Sapienza,", Rome, Italy
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Naro F, Sette C, Vicini E, De Arcangelis V, Grange M, Conti M, Lagarde M, Molinaro M, Adamo S, Némoz G. Involvement of type 4 cAMP-phosphodiesterase in the myogenic differentiation of L6 cells. Mol Biol Cell 1999; 10:4355-67. [PMID: 10588663 PMCID: PMC25763 DOI: 10.1091/mbc.10.12.4355] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Myogenic cell differentiation is induced by Arg(8)-vasopressin, whereas high cAMP levels and protein kinase A (PKA) activity inhibit myogenesis. We investigated the role of type 4 phosphodiesterase (PDE4) during L6-C5 myoblast differentiation. Selective PDE4 inhibition resulted in suppression of differentiation induced by vasopressin. PDE4 inhibition prevented vasopressin-induced nuclear translocation of the muscle-specific transcription factor myogenin without affecting its overall expression level. The effects of PDE4 inhibition could be attributed to an increase of cAMP levels and PKA activity. RNase protection, reverse transcriptase PCR, immunoprecipitation, Western blot, and enzyme activity assays demonstrated that the PDE4D3 isoform is the major PDE4 expressed in L6-C5 myoblasts and myotubes, accounting for 75% of total cAMP-hydrolyzing activity. Vasopressin cell stimulation caused a biphasic increase of PDE4 activity, which peaked at 2 and 15 min and remained elevated for 48 h. In the continuous presence of vasopressin, cAMP levels and PKA activity were lowered. PDE4D3 overexpression increased spontaneous and vasopressin-dependent differentiation of L6-C5 cells. These results show that PDE4D3 plays a key role in the control of cAMP levels and differentiation of L6-C5 cells. Through the modulation of PDE4 activity, vasopressin inhibits the cAMP signal transduction pathway, which regulates myogenesis possibly by controlling the subcellular localization of myogenin.
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Affiliation(s)
- F Naro
- Dipartimento di Istologia ed Embriologia Medica, Università "La Sapienza," 00161 Rome, Italy
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Coletti D, Palleschi S, Adamo S, Silvestroni L. Hormonal regulation of phosphatidylcholine metabolism and transport. Lipids 1999; 34 Suppl:S71. [PMID: 10419093 DOI: 10.1007/bf02562233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- D Coletti
- Department of Histology and Medical Embryology, University La Sapienza, Rome, Italy
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39
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Naro F, Vicini E, Sette C, Grange M, Prigent AF, Curci R, Lagarde M, Némoz G, Adamo S. Phosphatidic acid-dependent activation of adenosine-3',5'-cyclic-monophosphate-phosphodiesterase is necessary for Arg-vasopressin induction of myogenesis. Lipids 1999; 34 Suppl:S81-2. [PMID: 10419098 DOI: 10.1007/bf02562238] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- F Naro
- Dip. Istologia Embriologia Med., Univ. di Roma La Sapienza, Rome, Italy
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Carrara M, Azzurro M, Adamo S. Retreatment with human leukocyte interferon alpha of chronic hepatitis C, recurring after a first cycle with recombinant interferon. Ital J Gastroenterol Hepatol 1998; 30:234-5. [PMID: 9675668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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41
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Minotti S, Scicchitano BM, Nervi C, Scarpa S, Lucarelli M, Molinaro M, Adamo S. Vasopressin and insulin-like growth factors synergistically induce myogenesis in serum-free medium. Cell Growth Differ 1998; 9:155-63. [PMID: 9486852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Terminal differentiation of myogenic cells has long been known to be positively regulated by insulin-like growth factors (IGFs). Arg8-vasopressin (AVP) has been recently reported to potently induce myogenic differentiation. In the present study, the effects and the mechanisms of action of AVP and IGFs on myogenic cells have been investigated under conditions allowing growth and differentiation of myogenic cells in a simple serum-free medium. Under these conditions, L6 and L5 myogenic cells slowly proliferate and do not undergo differentiation (less than 1% fusion up to 7 days). AVP rapidly (2-3 days) and dose-dependently induces the formation of multinucleated myotubes. Creatine kinase activity and myosin accumulation are strongly up-regulated by AVP. Insulin or IGF-I or IGF-II, at concentrations that cause extensive differentiation in serum-containing medium, induces a modest degree of differentiation in serum-free medium. The simultaneous presence of AVP and of one of the IGFs in the synthetic medium induces maximal differentiation of L6, L5, and satellite cells. The expression of both myogenin and Myf-5 is dramatically stimulated by AVP. Our results indicate that AVP induces a significant level of myogenic differentiation in the absence of other factors. Furthermore, they suggest that to express their full myogenic potential, IGFs require the presence of other factors normally present in serum and fully mimicked by AVP. These studies support the conclusion that terminal myogenic differentiation may depend on the presence of differentiation factors rather than the absence of growth factors.
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Affiliation(s)
- S Minotti
- Dipartimento di Istologia ed Embriologia Medica, Università La Sapienza, Rome, Italy
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Benedetti L, Levin AA, Scicchitano BM, Grignani F, Allenby G, Diverio D, Lo Coco F, Avvisati G, Ruthardt M, Adamo S, Pelicci PG, Nervi C. Characterization of the retinoid binding properties of the major fusion products present in acute promyelocytic leukemia cells. Blood 1997; 90:1175-85. [PMID: 9242550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
The bcr1- and bcr3- promyelocytic leukemia/retinoic acid receptor alpha (PML/RAR alpha) are the two major fusion proteins expressed in acute promyelocytic leukemia (APL) patients. These proteins, which are present in different lengths of PML (amino acids 1-552 and 1-394, respectively), contain most of the functional domains of PML and RAR alpha, bind all-trans-retinoic acid (t-RA), and act as t-RA-dependent transcription factors. T-RA is an effective inducer of clinical remission only in patients carrying the t(15;17) and expressing the PML/RAR alpha products. However, in APL patients achieving complete remission with t-RA therapy the bcr3-PML/RAR alpha product has been found associated with a poorer prognosis than bcr1-PML/RAR alpha. In the present study we have investigated the structural and functional properties of the bcr3-PML/RAR alpha in comparison to the previously characterized bcr1-PML/RAR alpha. In particular, we have measured the binding properties of the two endogenous ligands t-RA and 9-cis-RA to both of these isoforms. T-RA binding analysis of nuclear and cytosolic extracts prepared from bcr3-PML/RAR alpha APL patients and from bcr3-PML/RAR alpha COS-1 transfected cells indicates that this protein is present only as high-molecular-weight nuclear complexes. Using saturation binding assays and Scatchard analyses we found that t-RA binds with slightly less affinity to the bcr3-PML/RAR alpha receptor than to bcr1-PML/RAR alpha or RAR alpha (Kd = 0.4 nmol/L, 0.13 nmol/L or 0.09 nmol/L, respectively). Moreover, two different high-affinity 9-cis-RA binding sites (Kd = 0.45 and 0.075 nmol/L) were detectable in the bcr3-PML/RAR alpha product but not in the bcr1-PML/RAR alpha product (Kd = 0.77 nmol/L). By competition binding experiments we showed that 9-cis-RA binds with higher specificity to the bcr3-PML/RAR alpha isoform than to the bcr1-PML/RAR alpha or RAR alpha. Consistent with these data, the binding of 9-cis-RA to the bcr3-PML/RAR alpha product resulted in increased transcriptional activation of the RA-responsive element (RARE) TRE, but not of the betaRARE, in transiently transfected COS-1 cells. These results provide evidence indicating that preferential retinoid binding to the different PML/RAR alpha products can be measured.
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MESH Headings
- Alitretinoin
- Animals
- Antineoplastic Agents/metabolism
- Antineoplastic Agents/pharmacology
- Antineoplastic Agents/therapeutic use
- Binding, Competitive
- COS Cells
- Chromosomes, Human, Pair 15/genetics
- Chromosomes, Human, Pair 15/ultrastructure
- Chromosomes, Human, Pair 17/genetics
- Chromosomes, Human, Pair 17/ultrastructure
- DNA-Binding Proteins/metabolism
- Gene Expression Regulation, Leukemic/drug effects
- Humans
- Kruppel-Like Transcription Factors
- Leukemia, Promyelocytic, Acute/drug therapy
- Leukemia, Promyelocytic, Acute/metabolism
- Neoplasm Proteins/classification
- Neoplasm Proteins/metabolism
- Oncogene Proteins, Fusion/classification
- Oncogene Proteins, Fusion/metabolism
- Prognosis
- Promyelocytic Leukemia Zinc Finger Protein
- Protein Binding
- Recombinant Fusion Proteins/metabolism
- Remission Induction
- Structure-Activity Relationship
- Transcription Factors/metabolism
- Transcription, Genetic
- Transfection
- Translocation, Genetic
- Tretinoin/metabolism
- Tretinoin/pharmacology
- Tretinoin/therapeutic use
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Affiliation(s)
- L Benedetti
- Department of Histology and Medical Embryology, University La Sapienza, Rome, Italy
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Abstract
Arg8-vasopressin (AVP) is a potent inducer of myogenic differentiation stimulating the expression of myogenic regulatory factors. To understand the mechanism of its effect on myogenesis, we investigated the early signals induced by AVP in myogenic target cells. In the rat skeletal muscle cell line L6, AVP selectively stimulates phosphatidylinositol (PtdIns) and phosphatidylcholine (PtdCho) breakdown, through the activation of phospholipases C and D (PLC, PLD), as shown by the generation of Ins(1,4,5)P3 and phosphatidylethanol (PtdEtOH), respectively. AVP induces the biphasic increase of sn-1,2-diacylglycerol (DAG) consisting in a rapid peak followed by a sustained phase, and the monophasic generation of phosphatidic acid (PA). Propranolol (a PA phosphatase inhibitor) and Zn2+ (a PLD inhibitor), abolish the sustained phase of DAG generation. Our data indicate that PtdIns-PLC activity is mainly responsible for the rapid phase of AVP-dependent DAG generation, whereas the sustained phase is dependent upon PtdCho-PLD activity and PA dephosphorylation, ruling out any significant role of DAG kinase. Modifications of PA level correlate with parallel changes of PLC activity, indicating a possible cross-talk between the two signal transduction pathways in the intact cell. PLD activation is elicited at AVP concentrations two orders of magnitude lower than those required for PLC activation. The differentiation of L6 myoblasts into multinucleated fibers is stimulated significantly by AVP at concentrations at which PLD, but not PLC, is activated. These data provide the first evidence for an important role of PLD in the mechanism of AVP-induced muscle differentiation.
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Affiliation(s)
- F Naro
- Istituto di Istologia e Embriologia generale, Universita La Sapienza, Roma, Italy
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Adamo S, Linn C, Beckage N. Correlation between changes in host behaviour and octopamine levels in the tobacco hornworm Manduca sexta parasitized by the gregarious braconid parasitoid wasp Cotesia congregata. J Exp Biol 1997; 200:117-27. [PMID: 9317459 DOI: 10.1242/jeb.200.1.117] [Citation(s) in RCA: 52] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The parasitoid wasp Cotesia congregata lays its eggs within the body of its host, the larval form of the tobacco hornworm Manduca sexta. Host behaviour appeared normal until approximately 8 h prior to the emergence of the parasitoids from their host at which time M. sexta feeding and locomotion declined irreversibly. This change in host behaviour may be to the advantage of the wasp since unparasitized M. sexta presented with wasp pupae ate them. Despite the decline in feeding and locomotion, hosts with emerged parasitoids had normal reflexes and showed no other signs of debilitation. Concomitant with the change in host behaviour, octopamine concentration measured using high-performance liquid chromatography with electrochemical detection (HPLC-ED) increased from 22.2±2.1 pg µl-1 to 143.7±7.8 pg µl-1 in the haemolymph of the host. In unparasitized M. sexta, however, increased octopamine levels were correlated with increased activity. We discuss possible explanations for the co-occurrence of high haemolymph octopamine levels and low behavioural arousal in parasitized M. sexta.
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Benedetti L, Grignani F, Scicchitano BM, Jetten AM, Diverio D, Lo Coco F, Avvisati G, Gambacorti-Passerini C, Adamo S, Levin AA, Pelicci PG, Nervi C. Retinoid-induced differentiation of acute promyelocytic leukemia involves PML-RARalpha-mediated increase of type II transglutaminase. Blood 1996; 87:1939-50. [PMID: 8634442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
All-trans retinoic acid (t-RA) administration leads to complete remission in acute promyelocytic leukemia (APL) patients by inducing growth arrest and differentiation of the leukemic clone. In the present study, we show that t-RA treatment dramatically induced type II transglutaminase (type II TGase) expression in cells carrying the t(15;17) translocation and expressing the PML-RARalpha product such as the APL-derived NB4 cell line and fresh leukemic cells from APL patients. This induction correlated with t-RA-induced growth arrest, granulocytic differentiation, and upregulation of the leukocyte adherence receptor beta subunit (CD18) gene expression. The increase in type II TGase was not abolished by cycloheximide treatment, suggesting that synthesis of a protein intermediate was not required for the induction. t-RA did not significantly alter the rate of growth arrest and did not stimulate differentiation and type II TGase activity in NB4.306 cells, a t-RA-resistant subclone of the NB4 cell line, or in leukemic cells derived from two patients morphologically defined as APL but lacking the t(15;17). However, in NB4.306 cells, t-RA treatment was able to increase CD18 mRNA expression in a manner similar to NB4 cells. The molecular mechanisms involved in the induction of these genes were investigated. In NB4 cells, using novel receptor-selective ligands such as 9-cis-RA, TTNPB, AM580, and SR11217, we found that RAR- and RARalpha-selective retinoids were able to induce growth arrest, granulocytic differentiation, and type II TGase, whereas the RXR-selective retinoid SR11217 was inactive. Moreover, an RAR alpha-antagonist completely inhibited the expression of type II TGase and CD18 induced by these selective retinoids in NB4 cells. In NB4.306 cells, an RARalpha-dependent signaling pathway was found involved in the modulation of CD18 expression. In addition, expression of the PML-RARalpha gene in myeloid U937 precursor cells resulted in the ability of these cells to induce type II TGase in response to t-RA. On the basis of these results we hypothesize a specific involvement of a signaling pathway involving PML-RAR alpha for the induction of growth arrest, granulocytic differentiation, and type II TGase by retinoids in APL cells.
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MESH Headings
- Apoptosis/drug effects
- Benzoates/pharmacology
- CD18 Antigens/biosynthesis
- CD18 Antigens/genetics
- Cell Differentiation/drug effects
- Chromosomes, Human, Pair 15/genetics
- Chromosomes, Human, Pair 15/ultrastructure
- Chromosomes, Human, Pair 17/genetics
- Chromosomes, Human, Pair 17/ultrastructure
- Cytosol/enzymology
- Drug Resistance, Neoplasm
- Enzyme Induction/drug effects
- Fenretinide/pharmacology
- Gene Expression Regulation, Leukemic/drug effects
- Humans
- Isoenzymes/biosynthesis
- Isoenzymes/genetics
- Leukemia, Promyelocytic, Acute/genetics
- Leukemia, Promyelocytic, Acute/pathology
- Neoplasm Proteins/chemistry
- Neoplasm Proteins/drug effects
- Neoplasm Proteins/genetics
- Neoplasm Proteins/physiology
- Neoplastic Stem Cells/drug effects
- Neoplastic Stem Cells/enzymology
- Neoplastic Stem Cells/pathology
- Oncogene Proteins, Fusion/chemistry
- Oncogene Proteins, Fusion/drug effects
- Oncogene Proteins, Fusion/physiology
- Protein Multimerization
- Receptors, Retinoic Acid/drug effects
- Receptors, Retinoic Acid/physiology
- Retinoids/pharmacology
- Signal Transduction/drug effects
- Tetrahydronaphthalenes/pharmacology
- Transglutaminases/biosynthesis
- Transglutaminases/genetics
- Translocation, Genetic
- Tretinoin/pharmacology
- Tumor Cells, Cultured/drug effects
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Affiliation(s)
- L Benedetti
- Institute of Histology and General Embryology, University La Sapienza, Rome, Italy
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Liberati A, Betti A, Mancini S, Di Clemente F, Genua A, Adamo S, Gemini M, Boccanera A, Caricchi P. 252 Idarubicin, cyclophosphamide, vincristine and methylprednisolone followed by G-CSF in the treatment of advanced multiple myeloma. Eur J Cancer 1995. [DOI: 10.1016/0959-8049(95)95510-d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Cinieri S, Di Clemente F, Mancini S, Ferrajoli A, Genua A, Adamo S, Di Costanzo F, Buzzi F, Biscottini B, Liberati A. 253 Tolerability of high-dose cyclophosphamide and carboplatinum followed by GM-CSF infusion. Eur J Cancer 1995. [DOI: 10.1016/0959-8049(95)95511-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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48
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Bouché M, Zappelli F, Polimeni M, Adamo S, Wetsel WC, Senni MI, Molinaro M. Rapid activation and down-regulation of protein kinase C alpha in 12-O-Tetradecanoylphorbol-13-acetate-induced differentiation of human rhabdomyosarcoma cells. Cell Growth Differ 1995; 6:845-852. [PMID: 7547506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Human rhabdomyosarcoma RD cells express the myogenic regulatory factors MyoD and myogenin but differentiate spontaneously very poorly. Prolonged treatment of RD cells with the protein kinase C (PKC) activator 12-O-tetradecanoylphorbol-13-acetate (TPA) induces growth arrest and myogenic differentiation as shown by the accumulation of alpha-actin and myosin light and heavy chains, without affecting the expression of MyoD and myogenin. In this study, we show that short-term phorbol ester treatment of the cultures is sufficient to trigger myogenic differentiation but not growth arrest. Furthermore, PKC inhibitors, such as staurosporine or calphostin C, prevent TPA-induced differentiation but not cell growth arrest. These data suggest that the two events are mediated by different pathways; a possible interpretation is that the activation of one or more PKC isoforms mediates the induction of differentiation, whereas the down-regulation of the same or different isoforms mediates the growth arrest. To address the mechanism whereby TPA affects cell growth and differentiation in RD cells, we first analyzed PKC isoenzyme distribution. We found that RD cells express the alpha, beta 1, gamma, and sigma PKC isoenzymes. Only the alpha isoform is exclusively found in the soluble fraction, but it translocates to the membrane fraction within 5 min of TPA treatment and is completely down-regulated after 6 h. The other isoenzymes are found associated to both the soluble and the particulate fractions and are down-regulated after long-term TPA treatment. By immunofluorescence analysis, we show that the PKC alpha down-regulation is specific for those cells that respond to TPA by activating the muscle phenotype. We propose that TPA-induced differentiation in RD cells is mediated by the transient activation of PKC alpha, which activates some of the intracellular events that are necessary for MyoD and myogenin transacting activity and for the induction of terminal differentiation of RD cells. By contrast, the constitutively active beta 1 and sigma are responsible for the maintenance of cell growth, and their down-regulation is responsible for long-term TPA-induced cell growth arrest.
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Affiliation(s)
- M Bouché
- Institute of Histology and General Embryology, University of Rome La Sapienza, Italy
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49
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Nervi C, Benedetti L, Minasi A, Molinaro M, Adamo S. Arginine-vasopressin induces differentiation of skeletal myogenic cells and up-regulation of myogenin and Myf-5. Cell Growth Differ 1995; 6:81-9. [PMID: 7718487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
The neurohypophyseal nonapeptide arginine8-vasopressin (AVP) induces phosphoinositide turnover and calcium and pH changes in skeletal myogenic cells in culture. In order to investigate the effect of AVP on skeletal myogenesis, we examined the effect of this hormone on proliferating mononucleated L6 myoblast cultures. Addition of AVP to the medium resulted in the formation of much larger myotubes than those formed in its absence and in a significant increase (2.2-fold) of the percentage of fusion within 3-4 days of treatment. The effect of AVP was dose dependent, in the 10 nM to 1 microM range, and was observed also in primary cultures of mouse satellite cells. The rate of growth of L6 cells was not affected by AVP treatment. The induction of morphological differentiation by AVP correlated with an increased expression of muscle-specific gene products, such as myosin, and an increased number of acetylcholine receptor sites. The accumulation of mRNA transcripts of the acetylcholine receptor subunits was also enhanced by AVP. The mechanism involved in the myogenic action of AVP was investigated. Using AVP-related peptides and antagonists, we found that a specific chemical structure is required and that V1 receptors probably mediate the effect on myogenesis. Expression of muscle-specific transcription factor genes Myf-5 and myogenin and their products are strongly upregulated by AVP. Our findings support the hypothesis that AVP may represent a novel physiological modulator of skeletal muscle differentiation through its action on muscle regulatory genes.
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Affiliation(s)
- C Nervi
- Institute of Histology and General Embryology, University of Rome La Sapienza, Italy
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50
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Abstract
Arginine vasopressin (AVP) induced concentration-dependent (10(-9) to 10(-6) M) stimulation of inositol phosphate production and a biphasic increment of cytosolic free Ca2+ concentration ([Ca2+]i) in skeletal myogenic cells in culture. These effects were almost completely abolished when the cells were pretreated with the AVP antagonist [deamino-Pen1,Val4,D-Arg8]-vasopressin before stimulation with AVP, thus confirming a V1 receptor-mediated effect. Inositol 1,4,5-trisphosphate production was maximally stimulated within 2-3 s of treatment with AVP, immediately followed by release of Ca2+ from intracellular deposits. Both effects were inhibited by treatment with 12-O-tetradecanoyl phorbol 13-acetate (TPA). Such effect of TPA was reversed by the protein kinase C inhibitor staurosporine. Vasopressin also regulated the intracellular pH of responsive cells with mechanisms involving both Na+ and anion transport across the plasma membrane. However, unlike in other cell types, AVP stimulated the Na(+)-H+ antiport only simultaneously with a dramatic cell acidification or after treatment with TPA. Response to AVP was observed in L6 and L5 and, to a lesser extent, in chick embryo myogenic cells, regardless of the stage of differentiation (myoblast or myotube). Comparison of different subclones of the L6 cell line demonstrated that the responsiveness to AVP correlated positively with their myogenic potential.
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Affiliation(s)
- A Teti
- Institute of Histology and General Embryology, School of Medicine, University La Sapienza, Rome, Italy
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