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Zhang X, Chen Z, Xiong Y, Zhou Q, Zhu LQ, Liu D. The emerging role of nitric oxide in the synaptic dysfunction of vascular dementia. Neural Regen Res 2025; 20:402-415. [PMID: 38819044 PMCID: PMC11317957 DOI: 10.4103/nrr.nrr-d-23-01353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 10/23/2023] [Accepted: 11/30/2023] [Indexed: 06/01/2024] Open
Abstract
With an increase in global aging, the number of people affected by cerebrovascular diseases is also increasing, and the incidence of vascular dementia-closely related to cerebrovascular risk-is increasing at an epidemic rate. However, few therapeutic options exist that can markedly improve the cognitive impairment and prognosis of vascular dementia patients. Similarly in Alzheimer's disease and other neurological disorders, synaptic dysfunction is recognized as the main reason for cognitive decline. Nitric oxide is one of the ubiquitous gaseous cellular messengers involved in multiple physiological and pathological processes of the central nervous system. Recently, nitric oxide has been implicated in regulating synaptic plasticity and plays an important role in the pathogenesis of vascular dementia. This review introduces in detail the emerging role of nitric oxide in physiological and pathological states of vascular dementia and summarizes the diverse effects of nitric oxide on different aspects of synaptic dysfunction, neuroinflammation, oxidative stress, and blood-brain barrier dysfunction that underlie the progress of vascular dementia. Additionally, we propose that targeting the nitric oxide-sGC-cGMP pathway using certain specific approaches may provide a novel therapeutic strategy for vascular dementia.
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Affiliation(s)
- Xiaorong Zhang
- Department of Pathology, Affiliated Hospital of Jiujiang University, Jiujiang, Jiangxi Province, China
- Jiujiang Clinical Precision Medicine Research Center, Jiujiang, Jiangxi Province, China
- Center for Cognitive Science and Transdisciplinary Studies, Jiujiang University, Jiangxi Province, China
| | - Zhiying Chen
- Jiujiang Clinical Precision Medicine Research Center, Jiujiang, Jiangxi Province, China
- Department of Neurology, Affiliated Hospital of Jiujiang University, Jiujiang, Jiangxi Province, China
| | - Yinyi Xiong
- Jiujiang Clinical Precision Medicine Research Center, Jiujiang, Jiangxi Province, China
- Department of Rehabilitation, Affiliated Hospital of Jiujiang University, Jiujiang, Jiangxi Province, China
| | - Qin Zhou
- Jiujiang Clinical Precision Medicine Research Center, Jiujiang, Jiangxi Province, China
| | - Ling-Qiang Zhu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Dan Liu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
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Dobrynina LA, Kremneva EI, Shamtieva KV, Geints AA, Filatov AS, Gadzhieva ZS, Gnedovskaya EV, Krotenkova MV, Maximov II. Cognitive Impairment in Cerebral Small Vessel Disease Is Associated with Corpus Callosum Microstructure Changes Based on Diffusion MRI. Diagnostics (Basel) 2024; 14:1838. [PMID: 39202326 PMCID: PMC11353603 DOI: 10.3390/diagnostics14161838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 08/19/2024] [Accepted: 08/19/2024] [Indexed: 09/03/2024] Open
Abstract
The cerebral small vessel disease (cSVD) is one of the main causes of vascular and mixed cognitive impairment (CI), and it is associated, in particular, with brain ageing. An understanding of structural tissue changes in an intact cerebral white matter in cSVD might allow one to develop the sensitive biomarkers for early diagnosis and monitoring of disease progression. PURPOSE OF THE STUDY to evaluate microstructural changes in the corpus callosum (CC) using diffusion MRI (D-MRI) approaches in cSVD patients with different severity of CI and reveal the most sensitive correlations of diffusion metrics with CI. METHODS the study included 166 cSVD patients (51.8% women; 60.4 ± 7.6 years) and 44 healthy volunteers (65.9% women; 59.6 ± 6.8 years). All subjects underwent D-MRI (3T) with signal (diffusion tensor and kurtosis) and biophysical (neurite orientation dispersion and density imaging, NODDI, white matter tract integrity, WMTI, multicompartment spherical mean technique, MC-SMT) modeling in three CC segments as well as a neuropsychological assessment. RESULTS in cSVD patients, microstructural changes were found in all CC segments already at the subjective CI stage, which was found to worsen into mild CI and dementia. More pronounced changes were observed in the forceps minor. Among the signal models FA, MD, MK, RD, and RK, as well as among the biophysical models, MC-SMT (EMD, ETR) and WMTI (AWF) metrics exhibited the largest area under the curve (>0.85), characterizing the loss of microstructural integrity, the severity of potential demyelination, and the proportion of intra-axonal water, respectively. Conclusion: the study reveals the relevance of advanced D-MRI approaches for the assessment of brain tissue changes in cSVD. The identified diffusion biomarkers could be used for the clarification and observation of CI progression.
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Affiliation(s)
- Larisa A. Dobrynina
- Research Center of Neurology, 125367 Moscow, Russia; (L.A.D.); (A.A.G.); (A.S.F.); (E.V.G.); (M.V.K.)
| | - Elena I. Kremneva
- Research Center of Neurology, 125367 Moscow, Russia; (L.A.D.); (A.A.G.); (A.S.F.); (E.V.G.); (M.V.K.)
| | - Kamila V. Shamtieva
- Research Center of Neurology, 125367 Moscow, Russia; (L.A.D.); (A.A.G.); (A.S.F.); (E.V.G.); (M.V.K.)
| | - Anastasia A. Geints
- Research Center of Neurology, 125367 Moscow, Russia; (L.A.D.); (A.A.G.); (A.S.F.); (E.V.G.); (M.V.K.)
| | - Alexey S. Filatov
- Research Center of Neurology, 125367 Moscow, Russia; (L.A.D.); (A.A.G.); (A.S.F.); (E.V.G.); (M.V.K.)
| | - Zukhra Sh. Gadzhieva
- Research Center of Neurology, 125367 Moscow, Russia; (L.A.D.); (A.A.G.); (A.S.F.); (E.V.G.); (M.V.K.)
| | - Elena V. Gnedovskaya
- Research Center of Neurology, 125367 Moscow, Russia; (L.A.D.); (A.A.G.); (A.S.F.); (E.V.G.); (M.V.K.)
| | - Marina V. Krotenkova
- Research Center of Neurology, 125367 Moscow, Russia; (L.A.D.); (A.A.G.); (A.S.F.); (E.V.G.); (M.V.K.)
| | - Ivan I. Maximov
- Department of Health and Functioning, Western Norway University of Applied Sciences (HVL), 5063 Bergen, Norway;
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Muir RT, Smith EE. The Spectrum of Cerebral Small Vessel Disease: Emerging Pathophysiologic Constructs and Management Strategies. Neurol Clin 2024; 42:663-688. [PMID: 38937035 DOI: 10.1016/j.ncl.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
Cerebral small vessel disease (CSVD) is a spectrum of disorders that affect small arterioles, venules, cortical and leptomeningeal vessels, perivascular spaces, and the integrity of neurovascular unit, blood brain barrier, and surrounding glia and neurons. CSVD is an important cause of lacunar ischemic stroke and sporadic hemorrhagic stroke, as well as dementia-which will constitute some of the most substantive population and public health challenges over the next century. This article provides an overview of updated pathophysiologic frameworks of CSVD; discusses common and underappreciated clinical and neuroimaging manifestations of CSVD; and reviews emerging genetic risk factors linked to sporadic CSVD.
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Affiliation(s)
- Ryan T Muir
- Calgary Stroke Program, Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta T2N 1N4, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Alberta T2N 1N4, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
| | - Eric E Smith
- Calgary Stroke Program, Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta T2N 1N4, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Alberta T2N 1N4, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada.
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Sun Y, Han X, Li Z, Qiu Y, Hu Y, Zhang Y, Dai Y, Wei H, Xu Q, Zhou Y. Quantifying neuroinflammation within deep gray matter in small vessel disease using diffusion tensor based free-water imaging: a longitudinal study. Front Aging Neurosci 2024; 16:1361436. [PMID: 39050988 PMCID: PMC11266054 DOI: 10.3389/fnagi.2024.1361436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 06/25/2024] [Indexed: 07/27/2024] Open
Abstract
Purpose Employing free water (FW) imaging, a cutting-edge diffusion MRI technique, we assessed neuroinflammation within deep gray matter (DGM) in small vessel disease (SVD) over 1-2 years. Method One hundred and seventy SVD patients and 21 healthy controls (HCs) underwent MRI scans and neuropsychological evaluations at baseline. These patients were then categorized into two groups: 67 displayed no cognitive impairment (NCI), while 103 exhibited vascular mild cognitive impairment (VaMCI). A follow-up study 1-2 years later included 23 from the NCI group and 28 from the VaMCI group. Calculation of FW values within DGM facilitated both cross-sectional and longitudinal analysis, revealing partial correlations between FW value changes and cognitive function alternations. Results Baseline examinations disclosed significant differences in DGM FW values among the three participant groups. We found increased mean FW values in the left pulvinar (Pul), bilateral lateral nuclei (LN) and bilateral internal medullary lamina of the thalamus in VaMCI participants compared with their NCI counterparts in longitudinal analysis. Notably, negative associations emerged between the FW value changes in the left Pul and the right LN of the thalamus and MoCA score changes in the VaMCI group over 1-2 years. Conclusions These findings support the hypothesis that increased FW value is present at the preclinical stage of SVD and remains persistent during the early course of the disease, potentially acting as the biomarker for the mechanism of underlying cognitive decline in SVD.
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Affiliation(s)
- Yawen Sun
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xu Han
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhenghao Li
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yage Qiu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ying Hu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuyao Zhang
- School of Information and Science and Technology, ShanghaiTech University, Shanghai, China
| | - Yongming Dai
- School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
| | - Hongjiang Wei
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Qun Xu
- Department of Health Manage Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Neurology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Kaur A, Fouad MH, Pozzebon C, Behlouli H, Rajah MN, Pilote L. Sex Differences in the Association Between Vascular Risk Factors and Cognitive Decline: A UK Biobank Study. JACC. ADVANCES 2024; 3:100930. [PMID: 39130034 PMCID: PMC11312777 DOI: 10.1016/j.jacadv.2024.100930] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/16/2023] [Accepted: 11/20/2023] [Indexed: 08/13/2024]
Abstract
Background Age-related cognitive decline is accelerated by vascular risk factors for cerebral small vessel disease. However, the association of vascular risk factors with cerebral small vessel disease contributing to the sex differences in cognitive decline remains unclear. Objectives The purpose of this study was to evaluate sex differences in cognitive decline and the association between vascular risk factors and cognitive decline by sex. Methods We used data from the UK Biobank (>55 years of age; n = 19,067) to assess cognitive tests (executive function, processing speed, and memory) while adjusting for baseline measurements to examine how vascular risk factors affect cognition. A univariate regression analysis was used to assess sex differences at the first time point (2014). A repeated measure analysis with a mixed effect model was used to determine cognitive decline (between 2014 and 2019). Any significant interaction between vascular risk factors and sex was investigated. Results Females had lower scores in all 3 domains at the first cognitive tests (2014). We found a significant sex-by-time interaction over a 5-year period in matrix pattern completion (P = 0.03). After adjusting for vascular risk factors, this interaction was reduced (P = 0.08). High low-density lipoprotein, low education, and high blood pressure had a greater effect on the rate of cognitive decline in the executive function for females compared to males for the sex∗vascular risk factor interaction (P < 0.05). Conclusions The rate of cognitive decline did not differ significantly between males and females. However, the impact of several vascular risk factors on cognitive decline was greater in females than in males.
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Affiliation(s)
- Amanpreet Kaur
- Department of Medicine, McGill University Health center, Montreal, Canada
- Centre for Outcomes Research and Evaluation, Research Institute, McGill University Health Centre, Montreal, Canada
| | - Moustafa H. Fouad
- Department of Medicine, McGill University Health center, Montreal, Canada
| | - Chelsea Pozzebon
- Department of Medicine, McGill University Health center, Montreal, Canada
| | - Hassan Behlouli
- Centre for Outcomes Research and Evaluation, Research Institute, McGill University Health Centre, Montreal, Canada
| | - M. Natasha Rajah
- Department of Psychology, Faculty of Arts, Toronto Metropolitan University, Toronto, Canada
- Department of Psychiatry, Faculty of Medicine & Health Sciences, McGill University, Montreal, Canada
| | - Louise Pilote
- Department of Medicine, McGill University Health center, Montreal, Canada
- Centre for Outcomes Research and Evaluation, Research Institute, McGill University Health Centre, Montreal, Canada
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Anderson ME, Wind EJ, Robison LS. Exploring the neuroprotective role of physical activity in cerebral small vessel disease. Brain Res 2024; 1833:148884. [PMID: 38527712 DOI: 10.1016/j.brainres.2024.148884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 03/27/2024]
Abstract
Cerebral small vessel disease (cSVD) is a common neurological finding characterized by abnormalities of the small blood vessels in the brain. Previous research has established a strong connection between cSVD and stroke, as well as neurodegenerative disorders, notably Alzheimer's disease (AD) and other dementias. As the search for effective interventions continues, physical activity (PA) has emerged as a potential preventative and therapeutic avenue. This review synthesizes the human and animal literature on the influence of PA on cSVD, highlighting the importance of determining optimal exercise protocols, considering aspects such as intensity, duration, timing, and exercise type. Furthermore, the necessity of widening the age bracket in research samples is discussed, ensuring a holistic understanding of the interventions across varying pathological stages of the disease. The review also suggests the potential of exploring diverse biomarkers and risk profiles associated with clinically significant outcomes. Moreover, we review findings demonstrating the beneficial effects of PA in various rodent models of cSVD, which have uncovered numerous mechanisms of neuroprotection, including increases in neuroplasticity and integrity of the vasculature and white matter; decreases in inflammation, oxidative stress, and mitochondrial dysfunction; and alterations in amyloid processing and neurotransmitter signaling. In conclusion, this review highlights the potential of physical activity as a preventive strategy for addressing cSVD, offering insights into the need for refining exercise parameters, diversifying research populations, and exploring novel biomarkers, while shedding light on the intricate mechanisms through which exercise confers neuroprotection in both humans and animal models.
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Affiliation(s)
- Maria E Anderson
- Department of Psychology, Family, and Justice Studies, University of Saint Joseph, 1678 Asylum Ave, West Hartford, CT 06117, USA
| | - Eleanor J Wind
- Department of Psychology and Neuroscience, Nova Southeastern University, 3300 S. University Drive, Fort Lauderdale, FL 33328, USA
| | - Lisa S Robison
- Department of Psychology and Neuroscience, Nova Southeastern University, 3300 S. University Drive, Fort Lauderdale, FL 33328, USA.
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Ritson M, Wheeler-Jones CPD, Stolp HB. Endothelial dysfunction in neurodegenerative disease: Is endothelial inflammation an overlooked druggable target? J Neuroimmunol 2024; 391:578363. [PMID: 38728929 DOI: 10.1016/j.jneuroim.2024.578363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/29/2024] [Accepted: 05/02/2024] [Indexed: 05/12/2024]
Abstract
Neurological diseases with a neurodegenerative component have been associated with alterations in the cerebrovasculature. At the anatomical level, these are centred around changes in cerebral blood flow and vessel organisation. At the molecular level, there is extensive expression of cellular adhesion molecules and increased release of pro-inflammatory mediators. Together, these has been found to negatively impact blood-brain barrier integrity. Systemic inflammation has been found to accelerate and exacerbate endothelial dysfunction, neuroinflammation and degeneration. Here, we review the role of cerebrovasculature dysfunction in neurodegenerative disease and discuss the potential contribution of intermittent pro-inflammatory systemic disease in causing endothelial pathology, highlighting a possible mechanism that may allow broad-spectrum therapeutic targeting in the future.
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Affiliation(s)
- Megan Ritson
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London NW1 0TU, UK
| | | | - Helen B Stolp
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London NW1 0TU, UK.
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Brown RB, Tozer DJ, Loubière L, Harshfield EL, Hong YT, Fryer TD, Williams GB, Graves MJ, Aigbirhio FI, O'Brien JT, Markus HS. MINocyclinE to Reduce inflammation and blood-brain barrier leakage in small Vessel diseAse (MINERVA): A phase II, randomized, double-blind, placebo-controlled experimental medicine trial. Alzheimers Dement 2024; 20:3852-3863. [PMID: 38629936 PMCID: PMC11180856 DOI: 10.1002/alz.13830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/13/2024] [Accepted: 03/16/2024] [Indexed: 06/18/2024]
Abstract
INTRODUCTION Cerebral small vessel disease (SVD) is a common cause of stroke/vascular dementia with few effective treatments. Neuroinflammation and increased blood-brain barrier (BBB) permeability may influence pathogenesis. In rodent models, minocycline reduced inflammation/BBB permeability. We determined whether minocycline had a similar effect in patients with SVD. METHODS MINERVA was a single-center, phase II, randomized, double-blind, placebo-controlled trial. Forty-four participants with moderate-to-severe SVD took minocycline or placebo for 3 months. Co-primary outcomes were microglial signal (determined using 11C-PK11195 positron emission tomography) and BBB permeability (using dynamic contrast-enhanced MRI). RESULTS Forty-four participants were recruited between September 2019 and June 2022. Minocycline had no effect on 11C-PK11195 binding (relative risk [RR] 1.01, 95% confidence interval [CI] 0.98-1.04), or BBB permeability (RR 0.97, 95% CI 0.91-1.03). Serum inflammatory markers were not affected. DISCUSSION 11C-PK11195 binding and increased BBB permeability are present in SVD; minocycline did not reduce either process. Whether these pathophysiological mechanisms are disease-causing remains unclear. INTERNATIONAL CLINICAL TRIALS REGISTRY PORTAL IDENTIFIER ISRCTN15483452 HIGHLIGHTS: We found focal areas of increased microglial signal and increased blood-brain barrier permeability in patients with small vessel disease. Minocycline treatment was not associated with a change in these processes measured using advanced neuroimaging. Blood-brain barrier permeability was dynamic but MRI-derived measurements correlated well with CSF/serum albumin ratio. Advanced neuroimaging is a feasible outcome measure for mechanistic clinical trials.
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Affiliation(s)
- Robin B. Brown
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Daniel J. Tozer
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Laurence Loubière
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | | | - Young T. Hong
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUK
| | - Tim D. Fryer
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUK
| | - Guy B. Williams
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUK
| | - Martin J. Graves
- Department of RadiologyUniversity of CambridgeCambridgeCambridgeUK
| | - Franklin I. Aigbirhio
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUK
| | | | - Hugh S. Markus
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
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Koohi F, Harshfield EL, Shatunov A, Markus HS. Does Thrombosis Play a Causal Role in Lacunar Stroke and Cerebral Small Vessel Disease? Stroke 2024; 55:934-942. [PMID: 38527140 PMCID: PMC10962440 DOI: 10.1161/strokeaha.123.044937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/02/2023] [Accepted: 12/05/2023] [Indexed: 03/27/2024]
Abstract
BACKGROUND The importance of thromboembolism in the pathogenesis of lacunar stroke (LS), resulting from cerebral small vessel disease (cSVD), is debated, and although antiplatelets are widely used in secondary prevention after LS, there is limited trial evidence from well-subtyped patients to support this approach. We sought to evaluate whether altered anticoagulation plays a causal role in LS and cSVD using 2-sample Mendelian randomization. METHODS From a recent genome-wide association study (n=81 190), we used 119 genetic variants associated with venous thrombosis at genome-wide significance (P<5*10-8) and with a linkage disequilibrium r2<0.001 as instrumental variables. We also used genetic associations with stroke from the GIGASTROKE consortium (62 100 ischemic stroke cases: 10 804 cardioembolic stroke, 6399 large-artery stroke, and 6811 LS). In view of the lower specificity for LS with the CT-based phenotyping mainly used in GIGASTROKE, we also used data from patients with magnetic resonance imaging-confirmed LS (n=3199). We also investigated associations with more chronic magnetic resonance imaging features of cSVD, namely, white matter hyperintensities (n=37 355) and diffusion tensor imaging metrics (n=36 533). RESULTS Mendelian randomization analyses showed that genetic predisposition to venous thrombosis was associated with an increased odds of any ischemic stroke (odds ratio [OR], 1.19 [95% CI, 1.13-1.26]), cardioembolic stroke (OR, 1.32 [95% CI, 1.21-1.45]), and large-artery stroke (OR, 1.41 [95% CI, 1.26-1.57]) but not with LS (OR, 1.07 [95% CI, 0.99-1.17]) in GIGASTROKE. Similar results were found for magnetic resonance imaging-confirmed LS (OR, 0.94 [95% CI, 0.81-1.09]). Genetically predicted risk of venous thrombosis was not associated with imaging markers of cSVD. CONCLUSIONS These findings suggest that altered thrombosis plays a role in the risk of cardioembolic and large-artery stroke but is not a causal risk factor for LS or imaging markers of cSVD. This raises the possibility that antithrombotic medication may be less effective in cSVD and underscores the necessity for further trials in well-subtyped cohorts with LS to evaluate the efficacy of different antithrombotic regimens in LS.
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Affiliation(s)
- Fatemeh Koohi
- Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom
| | - Eric L. Harshfield
- Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom
| | - Alexey Shatunov
- Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom
| | - Hugh S. Markus
- Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom
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10
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Fan D, Zhao H, Liu H, Niu H, Liu T, Wang Y. Abnormal brain activities of cognitive processes in cerebral small vessel disease: A systematic review of task fMRI studies. J Neuroradiol 2024; 51:155-167. [PMID: 37844660 DOI: 10.1016/j.neurad.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 10/18/2023]
Abstract
Cerebral small vessel disease (CSVD) is characterized by widespread functional changes in the brain, as evident from abnormal brain activations during cognitive tasks. However, the existing findings in this area are not yet conclusive. We systematically reviewed 25 studies reporting task-related fMRI in five cognitive domains in CSVD, namely executive function, working memory, processing speed, motor, and affective processing. The findings highlighted: (1) CSVD affects cognitive processes in a domain-specific manner; (2) Compensatory and regulatory effects were observed simultaneously in CSVD, which may reflect the interplay between the negative impact of brain lesion and the positive impact of cognitive reserve. Combined with behavioral and functional findings in CSVD, we proposed an integrated model to illustrate the relationship between altered activations and behavioral performance in different stages of CSVD: functional brain changes may precede and be more sensitive than behavioral impairments in the early pre-symptomatic stage; Meanwhile, compensatory and regulatory mechanisms often occur in the early stages of the disease, while dysfunction/decompensation and dysregulation often occur in the late stages. Overall, abnormal hyper-/hypo-activations are crucial for understanding the mechanisms of small vessel lesion-induced behavioral dysfunction, identifying potential neuromarker and developing interventions to mitigate the impact of CSVD on cognitive function.
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Affiliation(s)
- Dongqiong Fan
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Haichao Zhao
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China
| | - Hao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Yilong Wang
- Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China; Chinese Institute for Brain Research, Beijing, China; National Center for Neurological Disorders, Beijing, China.
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Wardlaw JM, Chabriat H, de Leeuw FE, Debette S, Dichgans M, Doubal F, Jokinen H, Katsanos AH, Ornello R, Pantoni L, Pasi M, Pavlovic AM, Rudilosso S, Schmidt R, Staals J, Taylor-Rowan M, Hussain S, Lindgren AG. European stroke organisation (ESO) guideline on cerebral small vessel disease, part 2, lacunar ischaemic stroke. Eur Stroke J 2024; 9:5-68. [PMID: 38380638 PMCID: PMC10916806 DOI: 10.1177/23969873231219416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 11/22/2023] [Indexed: 02/22/2024] Open
Abstract
A quarter of ischaemic strokes are lacunar subtype, typically neurologically mild, usually resulting from intrinsic cerebral small vessel pathology, with risk factor profiles and outcome rates differing from other stroke subtypes. This European Stroke Organisation (ESO) guideline provides evidence-based recommendations to assist with clinical decisions about management of lacunar ischaemic stroke to prevent adverse clinical outcomes. The guideline was developed according to ESO standard operating procedures and Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology. We addressed acute treatment (including progressive lacunar stroke) and secondary prevention in lacunar ischaemic stroke, and prioritised the interventions of thrombolysis, antiplatelet drugs, blood pressure lowering, lipid lowering, lifestyle, and other interventions and their potential effects on the clinical outcomes recurrent stroke, dependency, major adverse cardiovascular events, death, cognitive decline, mobility, gait, or mood disorders. We systematically reviewed the literature, assessed the evidence and where feasible formulated evidence-based recommendations, and expert concensus statements. We found little direct evidence, mostly of low quality. We recommend that patients with suspected acute lacunar ischaemic stroke receive intravenous alteplase, antiplatelet drugs and avoid blood pressure lowering according to current acute ischaemic stroke guidelines. For secondary prevention, we recommend single antiplatelet treatment long-term, blood pressure control, and lipid lowering according to current guidelines. We recommend smoking cessation, regular exercise, other healthy lifestyle modifications, and avoid obesity for general health benefits. We cannot make any recommendation concerning progressive stroke or other drugs. Large randomised controlled trials with clinically important endpoints, including cognitive endpoints, are a priority for lacunar ischaemic stroke.
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Affiliation(s)
- Joanna M Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Hugues Chabriat
- CNVT and Department of Neurology, Hopital Lariboisière, Paris, France
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Stéphanie Debette
- Bordeaux Population Health Research Center; University of Bordeaux – Inserm U1219; Bordeaux; Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux University Hospital, Bordeaux, France
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Medical Center, Munich; Munich Cluster for Systems Neurology (SyNergy), Munich; German Center for Neurodegenerative Diseases (DZNE, Munich), Munich; German Centre for Cardiovascular Research (DZHK, Munich), Munich, Germany
| | - Fergus Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor’s Building, Edinburgh, UK
| | - Hanna Jokinen
- Neurocenter, Helsinki University Hospital and University of Helsinki, HUS, Helsinki, Finland
| | - Aristeidis H Katsanos
- Neurology, McMaster University & Population Health Research Institute, Hamilton, ON, Canada
| | - Raffaele Ornello
- Neurology/Department of Biotechnological ad Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
| | | | - Marco Pasi
- Department of Neurology, University of Tours, Tours, France
| | - Aleksandra M Pavlovic
- University of Belgrade, Faculty of Special Education and Rehabilitation, Belgrade, Serbia
| | - Salvatore Rudilosso
- Comprehensive Stroke Center, Department of Neurology, Hospital Clínic of Barcelona, Barcelona, Spain
| | | | - Julie Staals
- Department of Neurology and CARIM School for cardiovascular diseases, MUMC+, Maastricht, The Netherlands
| | - Martin Taylor-Rowan
- School of Health and Wellbeing; General Practice and Primary Care, Clarice Pears Building, University of Glasgow, Glasgow, UK
| | | | - Arne G Lindgren
- Department of Clinical Sciences Lund, Neurology, Lund University; Department of Neurology, Skåne University Hospital, Lund, Skånes Universitetssjukhus, Lund, Sweden
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12
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Smith EE. Advances in Cerebral Small Vessel Disease: Sandra E. Black Lecture to the Canadian Neurological Sciences Federation. Can J Neurol Sci 2024:1-8. [PMID: 38410042 DOI: 10.1017/cjn.2024.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Cerebral small vessel diseases (CSVDs) are among the most common age-related pathologies of the brain. Arteriolosclerosis and cerebral amyloid angiopathy (CAA) are the most common CSVDs. In addition to causing stroke and dementia, CSVDs can have diverse covert radiological manifestations on computed tomography and magnetic resonance imaging including lacunes, T2-weighted white matter hyperintensities, increased density of visible perivascular spaces, microbleeds and cortical superficial siderosis. Because they cannot be visualized directly, research on the pathophysiology of CSVD has been difficult. However, advances in quantitative imaging methods, including physiological imaging such as measurement of cerebrovascular reactivity and increased vascular permeability, are beginning to allow investigation of the early effects of CSVD in living people. Furthermore, genomics, metabolomics and proteomics have the potential to illuminate previously unrecognized pathways to CSVD that could be important targets for new clinical trials.
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Affiliation(s)
- Eric E Smith
- Department of Clinical Neurosciences, Radiology and Community Health Sciences, University of Calgary, Calgary, AB, Canada
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13
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Li N, Li YL, Li LT. Development and validation of a nomogram predictive model for cerebral small vessel disease: a comprehensive retrospective analysis. Front Neurol 2024; 14:1340492. [PMID: 38259650 PMCID: PMC10801164 DOI: 10.3389/fneur.2023.1340492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
Background Cerebral small vessel disease (CSVD) is a significant contributor to stroke, intracerebral hemorrhages, and vascular dementia, particularly in the elderly. Early diagnosis remains challenging. This study aimed to develop and validate a novel nomogram for the early diagnosis of cerebral small vessel disease (CSVD). We focused on integrating cerebrovascular risk factors and blood biochemical markers to identify individuals at high risk of CSVD, thus enabling early intervention. Methods In a retrospective study conducted at the neurology department of the Affiliated Hospital of Hebei University from January 2020 to June 2022, 587 patients were enrolled. The patients were randomly divided into a training set (70%, n = 412) and a validation set (30%, n = 175). The nomogram was developed using multivariable logistic regression analysis, with variables selected through the Least Absolute Shrinkage and Selection Operator (LASSO) technique. The performance of the nomogram was evaluated based on the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, and decision curve analysis (DCA). Results Out of 88 analyzed biomarkers, 32 showed significant differences between the CSVD and non-CSVD groups. The LASSO regression identified 12 significant indicators, with nine being independent clinical predictors of CSVD. The AUC-ROC values of the nomogram were 0.849 (95% CI: 0.821-0.894) in the training set and 0.863 (95% CI: 0.810-0.917) in the validation set, indicating excellent discriminative ability. Calibration plots demonstrated good agreement between predicted and observed probabilities in both sets. DCA showed that the nomogram had significant clinical utility. Conclusions The study successfully developed a nomogram predictive model for CSVD, incorporating nine clinical predictive factors. This model offers a valuable tool for early identification and risk assessment of CSVD, potentially enhancing clinical decision-making and patient outcomes.
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Affiliation(s)
- Ning Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
| | - Ying-lei Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Emergency Medicine, Baoding First Central Hospital, Baoding, China
| | - Li-tao Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Hebei General Hospital, Shijiazhuang, China
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14
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Hainsworth AH, Markus HS, Schneider JA. Cerebral Small Vessel Disease, Hypertension, and Vascular Contributions to Cognitive Impairment and Dementia. Hypertension 2024; 81:75-86. [PMID: 38044814 PMCID: PMC10734789 DOI: 10.1161/hypertensionaha.123.19943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Hypertension-associated cerebral small vessel disease is a common finding in older people. Strongly associated with age and hypertension, small vessel disease is found at autopsy in over 50% of people aged ≥65 years, with a spectrum of clinical manifestations. It is the main cause of lacunar stroke and a major source of vascular contributions to cognitive impairment and dementia. The brain areas affected are subcortical and periventricular white matter and deep gray nuclei. Neuropathological sequelae are diffuse white matter lesions (seen as white matter hyperintensities on T2-weighted magnetic resonance imaging), small ischemic foci (lacunes or microinfarcts), and less commonly, subcortical microhemorrhages. The most common form of cerebral small vessel disease is concentric, fibrotic thickening of small penetrating arteries (up to 300 microns outer diameter) termed arteriolosclerosis. Less common forms are small artery atheroma and lipohyalinosis (the lesions described by C. Miller Fisher adjacent to lacunes). Other microvascular lesions that are not reviewed here include cerebral amyloid angiopathy and venous collagenosis. Here, we review the epidemiology, neuropathology, clinical management, genetics, preclinical models, and pathogenesis of hypertensive small vessel disease. Knowledge gaps include initiating factors, molecular pathogenesis, relationships between arterial pathology and tissue damage, possible reversibility, pharmacological targets, and molecular biomarkers. Progress is anticipated from multicell transcriptomic and proteomic profiling, novel experimental models and further target-finding and interventional clinical studies.
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Affiliation(s)
- Atticus H. Hainsworth
- Molecular and Clinical Sciences Research Institute, St George’s University of London, United Kingdom (A.H.H.)
- Department of Neurology, St George’s University Hospitals NHS Foundation Trust, London, United Kingdom (A.H.H.)
| | - Hugh S. Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.S.M.)
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Departments of Pathology and Neurological Sciences, Rush University Medical Center, Chicago, IL (J.A.S.)
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15
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Backhouse EV, Bauermeister S, Wardlaw JM. Lifetime influences on imaging markers of adverse brain health and vascular disease. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 6:100194. [PMID: 38292018 PMCID: PMC10827485 DOI: 10.1016/j.cccb.2023.100194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/13/2023] [Accepted: 12/11/2023] [Indexed: 02/01/2024]
Abstract
Cerebral small vessel disease (cSVD) is highly prevalent in the general population, increases with age and vascular risk factor exposure, and is a common cause of stroke and dementia. There is great variation in cSVD burden experienced in older age, and maintaining brain health across the life course requires looking beyond an individual's current clinical status and traditional vascular risk factors. Of particular importance are social determinants of health which can be more important than healthcare or lifestyle choices in influencing later life health outcomes, including brain health. In this paper we discuss the social determinants of cerebrovascular disease, focusing on the impact of socioeconomic status on markers of cSVD. We outline the potential mechanisms behind these associations, including early life exposures, health behaviours and brain reserve and maintenance, and we highlight the importance of public health interventions to address the key determinants and risk factors for cSVD from early life stages.
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Affiliation(s)
- Ellen V Backhouse
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
- MRC UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Sarah Bauermeister
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
- MRC UK Dementia Research Institute, University of Oxford, Oxford OX3 7JX, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
- MRC UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
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16
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Al-Thani M, Goodwin-Trotman M, Bell S, Patel K, Fleming LK, Vilain C, Abramowicz M, Allan SM, Wang T, Cader MZ, Horsburgh K, Van Agtmael T, Sinha S, Markus HS, Granata A. A novel human iPSC model of COL4A1/A2 small vessel disease unveils a key pathogenic role of matrix metalloproteinases. Stem Cell Reports 2023; 18:2386-2399. [PMID: 37977146 PMCID: PMC10724071 DOI: 10.1016/j.stemcr.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 11/19/2023] Open
Abstract
Cerebral small vessel disease (SVD) affects the small vessels in the brain and is a leading cause of stroke and dementia. Emerging evidence supports a role of the extracellular matrix (ECM), at the interface between blood and brain, in the progression of SVD pathology, but this remains poorly characterized. To address ECM role in SVD, we developed a co-culture model of mural and endothelial cells using human induced pluripotent stem cells from patients with COL4A1/A2 SVD-related mutations. This model revealed that these mutations induce apoptosis, migration defects, ECM remodeling, and transcriptome changes in mural cells. Importantly, these mural cell defects exert a detrimental effect on endothelial cell tight junctions through paracrine actions. COL4A1/A2 models also express high levels of matrix metalloproteinases (MMPs), and inhibiting MMP activity partially rescues the ECM abnormalities and mural cell phenotypic changes. These data provide a basis for targeting MMP as a therapeutic opportunity in SVD.
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Affiliation(s)
- Maha Al-Thani
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK
| | - Mary Goodwin-Trotman
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK
| | - Steven Bell
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK
| | - Krushangi Patel
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK
| | - Lauren K Fleming
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Catheline Vilain
- Department of Genetics, Hôpital Erasme, ULB Center of Human Genetics, Universite Libre de Bruxelles, Bruxelles, Belgium
| | - Marc Abramowicz
- Department of Genetics, Hôpital Erasme, ULB Center of Human Genetics, Universite Libre de Bruxelles, Bruxelles, Belgium
| | - Stuart M Allan
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Tao Wang
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, The University of Manchester, Manchester, UK; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - M Zameel Cader
- Nuffield Department of Clinical Neurosciences, Kavli Institute of Nanoscience Discovery, Dorothy Crowfoot Hodgkin Building, Sherrington Road, University of Oxford, Oxford, UK
| | - Karen Horsburgh
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Tom Van Agtmael
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Sanjay Sinha
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Hugh S Markus
- Department of Neurology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Alessandra Granata
- Department of Clinical Neurosciences, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge and Royal Papworth Hospital, Cambridge, UK.
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17
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Liu D, Cai X, Yang Y, Wang S, Mei L, Jing J, Li S, Wang M, Chen Y, Meng X, Wei T, Wang Y, Wang Y, Pan Y. Association between Life's Essential 8 and Cerebral Small Vessel Disease. Stroke Vasc Neurol 2023:svn-2023-002628. [PMID: 37989483 DOI: 10.1136/svn-2023-002628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/07/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Given that associations of Life's Essential 8 (LE8) and cerebral small vessel disease (CSVD) or its imaging markers were unclear, we examined relationship between them. METHODS The cross-sectional study included community residents from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study. We calculated the total LE8 score, medical LE8 score and behavioural score, and categorised them into low (<60), moderate (60-79) or high (≥80) group. MRI markers included lacunes, white matter hyperintensities (WMH), enlarged perivascular spaces in basal ganglia (BG-EPVS) and cerebral microbleeds (CMB). In respect of, total CSVD score (0-4 points), WMH, lacunes or CMB were categorised as two grades, and BG-EPVS (N>10) was allocated one point. Based on modified total CSVD score (0-6 points), WMH or CMB was modified to three grades, and BG-EPVS (N>20) was allocated one point. RESULTS Among 3061 participants in this study, 1424 (46.5%) were male. Higher LE8 score was associated with lower total CSVD score (moderate vs low: cOR 0.78, 95% CI 0.63 to 0.96; high vs low: cOR 0.44, 95% CI 0.33 to 0.59), and the medical score was inversely related to the total CSVD score. Furthermore, the medical score was inversely related to odds of WMH (p<0.05), modified WMH (p<0.05), lacunes (p<0.05) or BG-EPVS (p<0.05), and the behavioural score were inversely related to the odds of lacunes and BG-EPVS. CONCLUSIONS Higher LE8 score which indicates better cardiovascular status was associated with lower burden of CSVD and its MRI markers. Longitudinal studies are needed to examine the causality.
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Affiliation(s)
- Dandan Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, People's Republic of China
| | - Xueli Cai
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
- Lishui Clinical Research Center for Neurological Diseases, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Suying Wang
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Yun Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
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18
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Huang P, Chen K, Liu C, Zhen Z, Zhang R. Visualizing Cerebral Small Vessel Degeneration During Aging and Diseases Using Magnetic Resonance Imaging. J Magn Reson Imaging 2023; 58:1323-1337. [PMID: 37052571 DOI: 10.1002/jmri.28736] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 03/28/2023] [Accepted: 03/30/2023] [Indexed: 04/14/2023] Open
Abstract
Cerebral small vessel disease is a major contributor to brain disorders in older adults. It is associated with a much higher risk of stroke and dementia. Due to a lack of clinical and fluid biomarkers, diagnosing and grading small vessel disease are highly dependent on magnetic resonance imaging. In the past, researchers mostly used brain parenchymal imaging markers to represent small vessel damage, but the relationships between these surrogate markers and small vessel pathologies are complex. Recent progress in high-resolution magnetic resonance imaging methods, including time-of-flight MR angiography, phase-contrast MR angiography, black blood vessel wall imaging, susceptibility-weighted imaging, and contrast-enhanced methods, allow for direct visualization of cerebral small vessel structures. They could be powerful tools for understanding aging-related small vessel degeneration and improving disease diagnosis and treatment. This article will review progress in these imaging techniques and their application in aging and disease studies. Some challenges and future directions are also discussed. EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: 3.
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Affiliation(s)
- Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kang Chen
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chen Liu
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhiming Zhen
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Wu R, Liu H, Li H, Chen L, Wei L, Huang X, Liu X, Men X, Li X, Han L, Lu Z, Qin B. Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease. Biomed Eng Online 2023; 22:99. [PMID: 37848906 PMCID: PMC10580591 DOI: 10.1186/s12938-023-01164-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 10/10/2023] [Indexed: 10/19/2023] Open
Abstract
BACKGROUND Cerebral microbleeds (CMBs) serve as neuroimaging biomarkers to assess risk of intracerebral hemorrhage and diagnose cerebral small vessel disease (CSVD). Therefore, detecting CMBs can evaluate the risk of intracerebral hemorrhage and use its presence to support CSVD classification, both are conducive to optimizing CSVD management. This study aimed to develop and test a deep learning (DL) model based on susceptibility-weighted MR sequence (SWS) to detect CMBs and classify CSVD to assist neurologists in optimizing CSVD management. Patients with arteriolosclerosis (aSVD), cerebral amyloid angiopathy (CAA), and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) treated at three centers were enrolled between January 2017 and May 2022 in this retrospective study. The SWSs of patients from two centers were used as the development set, and the SWSs of patients from the remaining center were used as the external test set. The DL model contains a Mask R-CNN for detecting CMBs and a multi-instance learning (MIL) network for classifying CSVD. The metrics for model performance included intersection over union (IoU), Dice score, recall, confusion matrices, receiver operating characteristic curve (ROC) analysis, accuracy, precision, and F1-score. RESULTS A total of 364 SWS were recruited, including 336 in the development set and 28 in the external test set. IoU for the model was 0.523 ± 0.319, Dice score 0.627 ± 0.296, and recall 0.706 ± 0.365 for CMBs detection in the external test set. For CSVD classification, the model achieved a weighted-average AUC of 0.908 (95% CI 0.895-0.921), accuracy of 0.819 (95% CI 0.768-0.870), weighted-average precision of 0.864 (95% CI 0.831-0.897), and weighted-average F1-score of 0.829 (95% CI 0.782-0.876) in the external set, outperforming the performance of the neurologist group. CONCLUSION The DL model based on SWS can detect CMBs and classify CSVD, thereby assisting neurologists in optimizing CSVD management.
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Affiliation(s)
- Ruizhen Wu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, People's Republic of China
| | - Huaqing Liu
- Center for Artificial Intelligence in Medicine, Research Institute of Tsinghua, Pearl River Delta, Tsinghua University, No. 98 Xiangxue 8Th Road, Guangzhou, 510700, People's Republic of China
| | - Hao Li
- Department of Neurology, Maoming People's Hospital, No.101 Weimin Road, Maoming, 525000, People's Republic of China
| | - Lifen Chen
- Department of Neurology, the First Affiliated Hospital of SHANTOU University Medical College, Shantou University, No. 57 of Changping Road, Shantou, 515041, People's Republic of China
| | - Lei Wei
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, People's Republic of China
| | - Xuehong Huang
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, People's Republic of China
| | - Xu Liu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, People's Republic of China
| | - Xuejiao Men
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, People's Republic of China
| | - Xidan Li
- Center for Artificial Intelligence in Medicine, Research Institute of Tsinghua, Pearl River Delta, Tsinghua University, No. 98 Xiangxue 8Th Road, Guangzhou, 510700, People's Republic of China
| | - Lanqing Han
- Center for Artificial Intelligence in Medicine, Research Institute of Tsinghua, Pearl River Delta, Tsinghua University, No. 98 Xiangxue 8Th Road, Guangzhou, 510700, People's Republic of China
| | - Zhengqi Lu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, People's Republic of China
| | - Bing Qin
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, People's Republic of China.
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Markus HS. Cognition after stroke. Int J Stroke 2023; 18:884-887. [PMID: 37723654 DOI: 10.1177/17474930231196389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
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21
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Brown RB, Tozer DJ, Egle M, Tuladhar AM, de Leeuw FE, Markus HS. How often does white matter hyperintensity volume regress in cerebral small vessel disease? Int J Stroke 2023; 18:937-947. [PMID: 36988075 PMCID: PMC10507994 DOI: 10.1177/17474930231169132] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/14/2023] [Indexed: 03/30/2023]
Abstract
BACKGROUND AND OBJECTIVES It has been suggested that white matter hyperintensity lesions (WMHs), which typically progress over time, can also regress, and that this might be associated with favorable cognitive performance. We determined the prevalence of WMH regression in patients with cerebral small vessel disease (SVD) and examined which demographic, clinical, and radiological markers were associated with this regression. METHODS We used semi-automated lesion marking methods to quantify WMH volume at multiple timepoints in three cohorts with symptomatic SVD; two with moderate-to-severe symptomatic SVD (the SCANS observational cohort and the control arm of the PRESERVE interventional trial) and one with mild-to-moderate SVD (the RUN DMC observational cohort). Mixed-effects ordered logistic regression models were used to test which factors predicted participants to show WMH regression. RESULTS No participants (0/98) in SCANS, 6/42 (14.3%) participants in PRESERVE, and 6/276 (2.2%) in RUN DMC showed WMH regression. On multivariate analysis, only lower WMH volume (OR: 0.36, 95% CI: 0.23-0.56) and better white matter microstructural integrity assessed by fractional anisotropy using diffusion tensor imaging (OR: 1.55, 95% CI: 1.07-2.24) predicted participant classification as regressor versus stable or progressor. DISCUSSION Only a small proportion of participants demonstrated WMH regression across the three cohorts, when a blinded standardized assessment method was used. Subjects who showed regression had less severe imaging markers of disease at baseline. Our results show that lesion regression is uncommon in SVD and unlikely to be a major factor affecting the use of WMH quantification as an outcome for clinical trials.
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Affiliation(s)
- Robin B Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Daniel J Tozer
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Marco Egle
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Anil M Tuladhar
- Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Hugh S Markus
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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22
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Pauls MMH, Fish J, Binnie LR, Benjamin P, Betteridge S, Clarke B, Dhillon MPK, Ghatala R, Hainsworth FAH, Howe FA, Khan U, Kruuse C, Madigan JB, Moynihan B, Patel B, Pereira AC, Rostrup E, Shtaya ABY, Spilling CA, Trippier S, Williams R, Young R, Barrick TR, Isaacs JD, Hainsworth AH. Testing the cognitive effects of tadalafil. Neuropsychological secondary outcomes from the PASTIS trial. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 5:100187. [PMID: 37811523 PMCID: PMC10550803 DOI: 10.1016/j.cccb.2023.100187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/25/2023] [Accepted: 09/25/2023] [Indexed: 10/10/2023]
Abstract
Cerebral small vessel disease (SVD) is a major cause of cognitive impairment in older people. As secondary endpoints in a phase-2 randomised clinical trial, we tested the effects of single administration of a widely-used PDE5 inhibitor, tadalafil, on cognitive performance in older people with SVD. In a double-blinded, placebo-controlled, cross-over trial, participants received tadalafil (20 mg) and placebo on two visits ≥ 7 days apart (randomised to order of treatment). The Montreal Cognitive Assessment (MOCA) was administered at baseline, alongside a measure to estimate optimal intellectual ability (Test of Premorbid Function). Then, before and after treatment, a battery of neuropsychological tests was administered, assessing aspects of attention, information processing speed, working memory and executive function. Sixty-five participants were recruited and 55 completed the protocol (N = 55, age: 66.8 (8.6) years, range 52-87; 15/40 female/male). Median MOCA score was 26 (IQR: 23, 27], range 15-30). No significant treatment effects were seen in any of the neuropsychological tests. There was a trend towards improved performance on Digit Span Forward (treatment effect 0.37, C.I. 0.01, 0.72; P = 0.0521). We did not identify significant treatment effects of single-administration tadalafil on neuropsychological performance in older people with SVD. The trend observed on Digit Span Forward may help to inform future studies. Clinical trial registration http://www.clinicaltrials.gov. Unique identifier: NCT00123456, https://eudract.ema.europa.eu. Unique identifier: 2015-001,235-20NCT00123456.
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Affiliation(s)
- Mathilde MH Pauls
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Jessica Fish
- Neuropsychology, St George's University Hospitals NHS Foundation Trust, London, UK
- School of Health & Wellbeing, University of Glasgow, UK
| | - Lauren R Binnie
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | - Philip Benjamin
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Neuroradiology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Shai Betteridge
- Neuropsychology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Brian Clarke
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | | | - Rita Ghatala
- South London Stroke Research Network, London, UK
| | | | - Franklyn A Howe
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | - Usman Khan
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Christina Kruuse
- Department of Neurology and Neurovascular Research Unit, Herlev Gentofte Hospital, Denmark
| | - Jeremy B Madigan
- Neuroradiology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Barry Moynihan
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
- Department of Medicine, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
| | - Bhavini Patel
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Anthony C Pereira
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Egill Rostrup
- Mental Health Centre, University of Copenhagen, Glostrup, Denmark
| | - Anan BY Shtaya
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | - Catherine A Spilling
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | | | | | - Robin Young
- Robertson Centre for Biostatistics, University of Glasgow, UK
| | - Thomas R Barrick
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | - Jeremy D Isaacs
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Atticus H Hainsworth
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
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23
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Moniruzzaman M, Kadota A, Hisamatsu T, Segawa H, Kondo K, Torii S, Miyagawa N, Fujiyoshi A, Yano Y, Watanabe Y, Shiino A, Nozaki K, Ueshima H, Miura K. Relationship between Serum Irisin Levels and MRI-Measured Cerebral Small Vessel Disease in Japanese Men. J Atheroscler Thromb 2023; 30:1045-1056. [PMID: 36384910 PMCID: PMC10406628 DOI: 10.5551/jat.63824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 09/30/2022] [Indexed: 08/04/2023] Open
Abstract
AIM Irisin, an exercise-induced myokine, is a potential neurotrophic factor; however, its relationship with cerebral small vessel disease (CSVD) remains unknown. Therefore, we investigated whether serum irisin levels are associated with CSVD in healthy Japanese men. METHODS We analyzed data from 720 men free of stroke and participated in this observational study. Serum irisin levels were measured by enzyme-linked immunosorbent assay. CSVD was assessed on deep and subcortical white matter hyperintensities (DSWMHs), periventricular hyperintensities (PVHs), lacunar infarcts (LIs), and cerebral microbleeds (CMBs) on brain magnetic resonance imaging. We calculated the total CSVD score (ranges 0-4) to express the total CSVD burden. We computed the adjusted odds ratios (ORs), with 95% confidence intervals (CIs), of the total CSVD score and individual CSVD features using logistic regression models according to the quartiles of irisin (reference: Q1). RESULTS Serum irisin levels were associated with lower ORs of higher (vs. zero or lower score) total CSVD score, with the lowest risk (OR, 0.63; 95% CI, 0.41-0.97) being observed in Q3 compared to Q1 after adjustment of potential covariates. Similar results were obtained for younger adults (<65 years). Among individual CSVD features, irisin was associated with a reduced risk of LIs in the total sample and PVHs, LIs, and CMBs in younger adults. No relationship was observed in older adults (≥ 65 years). CONCLUSIONS Serum irisin levels were associated with less burden of total CSVD in healthy Japanese men. Serum irisin levels were also related with a reduced risk of PVHs, LIs, and CMBs, but not DSWMHs.
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Affiliation(s)
- Mohammad Moniruzzaman
- NCD Epidemiology Research Center (NERC), Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | - Aya Kadota
- NCD Epidemiology Research Center (NERC), Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | | | - Hiroyoshi Segawa
- NCD Epidemiology Research Center (NERC), Shiga University of Medical Science, Shiga, Japan
| | - Keiko Kondo
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | - Sayuki Torii
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | - Naoko Miyagawa
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Akira Fujiyoshi
- Department of Hygiene, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Yuichiro Yano
- NCD Epidemiology Research Center (NERC), Shiga University of Medical Science, Shiga, Japan
| | - Yoshiyuki Watanabe
- Department of Radiology, Shiga University of Medical Science, Shiga, Japan
| | - Akihiko Shiino
- Molecular Neuroscience Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Kazuhiko Nozaki
- Department of Neurosurgery, Shiga University of Medical Science, Shiga, Japan
| | - Hirotsugu Ueshima
- NCD Epidemiology Research Center (NERC), Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
| | - Katsuyuki Miura
- NCD Epidemiology Research Center (NERC), Shiga University of Medical Science, Shiga, Japan
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
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24
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Koohi F, Harshfield EL, Markus HS. Contribution of Conventional Cardiovascular Risk Factors to Brain White Matter Hyperintensities. J Am Heart Assoc 2023:e030676. [PMID: 37421292 PMCID: PMC10382123 DOI: 10.1161/jaha.123.030676] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 06/14/2023] [Indexed: 07/10/2023]
Abstract
Background White matter hyperintensities (WMHs) are a major risk factor for stroke and dementia, but their pathogenesis is incompletely understood. It has been debated how much risk is accounted for by conventional cardiovascular risk factors (CVRFs), and this has major implications as to how effective a preventative strategy targeting these risk factors will be. Methods and Results We included 41 626 UK Biobank participants (47.2% men), with a mean age of 55 years (SD, 7.5 years), who underwent brain magnetic resonance imaging at the first imaging assessment beginning in 2014. The relationships among CVRFs, cardiovascular conditions, and WMH volume as a percentage of total brain volume were examined using correlations and structural equation models. Only 32% of the variance in WMH volume was explained by measures of CVRFs, sex, and age, of which age accounted for 16%. CVRFs combined accounted for ≈15% of the variance. However, a large portion of the variance (well over 60%) remains unexplained. Of the individual CVRFs, blood pressure parameters together accounted for ≈10.5% of the total variance (diagnosis of hypertension, 4.4%; systolic blood pressure, 4.4%; and diastolic blood pressure, 1.7%). The variance explained by most individual CVRFs declined with age. Conclusions Our findings suggest the presence of other vascular and nonvascular factors underlying the development of WMHs. Although they emphasize the importance of modification of conventional CVRFs, particularly hypertension, they highlight the need to better understand risk factors underlying the considerable unexplained variance in WMHs if we are to develop better preventative approaches.
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Affiliation(s)
- Fatemeh Koohi
- Stroke Research Group Department of Clinical Neurosciences University of Cambridge Cambridge United Kingdom
| | - Eric L Harshfield
- Stroke Research Group Department of Clinical Neurosciences University of Cambridge Cambridge United Kingdom
| | - Hugh S Markus
- Stroke Research Group Department of Clinical Neurosciences University of Cambridge Cambridge United Kingdom
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25
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Shin P, Pian Q, Ishikawa H, Hamanaka G, Mandeville ET, Guo S, Fu B, Alfadhel M, Allu SR, Şencan-Eğilmez I, Li B, Ran C, Vinogradov SA, Ayata C, Lo E, Arai K, Devor A, Sakadžić S. Aerobic exercise reverses aging-induced depth-dependent decline in cerebral microcirculation. eLife 2023; 12:e86329. [PMID: 37402178 PMCID: PMC10319437 DOI: 10.7554/elife.86329] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 06/16/2023] [Indexed: 07/06/2023] Open
Abstract
Aging is a major risk factor for cognitive impairment. Aerobic exercise benefits brain function and may promote cognitive health in older adults. However, underlying biological mechanisms across cerebral gray and white matter are poorly understood. Selective vulnerability of the white matter to small vessel disease and a link between white matter health and cognitive function suggests a potential role for responses in deep cerebral microcirculation. Here, we tested whether aerobic exercise modulates cerebral microcirculatory changes induced by aging. To this end, we carried out a comprehensive quantitative examination of changes in cerebral microvascular physiology in cortical gray and subcortical white matter in mice (3-6 vs. 19-21 months old), and asked whether and how exercise may rescue age-induced deficits. In the sedentary group, aging caused a more severe decline in cerebral microvascular perfusion and oxygenation in deep (infragranular) cortical layers and subcortical white matter compared with superficial (supragranular) cortical layers. Five months of voluntary aerobic exercise partly renormalized microvascular perfusion and oxygenation in aged mice in a depth-dependent manner, and brought these spatial distributions closer to those of young adult sedentary mice. These microcirculatory effects were accompanied by an improvement in cognitive function. Our work demonstrates the selective vulnerability of the deep cortex and subcortical white matter to aging-induced decline in microcirculation, as well as the responsiveness of these regions to aerobic exercise.
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Affiliation(s)
- Paul Shin
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Qi Pian
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Hidehiro Ishikawa
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Gen Hamanaka
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Emiri T Mandeville
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Shuzhen Guo
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Buyin Fu
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Mohammed Alfadhel
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
- Department of Bioengineering, Northeastern UniversityBostonUnited States
| | - Srinivasa Rao Allu
- Department of Biochemistry and Biophysics, University of PennsylvaniaPhiladelphiaUnited States
- Department of Chemistry, University of PennsylvaniaPhiladelphiaUnited States
| | - Ikbal Şencan-Eğilmez
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
- Biophotonics Research Center, Mallinckrodt Institute of Radiology, Department of Radiology, Washington University School of MedicineSt. LouisUnited States
| | - Baoqiang Li
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Chongzhao Ran
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Sergei A Vinogradov
- Department of Biochemistry and Biophysics, University of PennsylvaniaPhiladelphiaUnited States
- Department of Chemistry, University of PennsylvaniaPhiladelphiaUnited States
| | - Cenk Ayata
- Neurovascular Research Laboratory, Department of Radiology, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
- Stroke Service, Department of Neurology, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Eng Lo
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Ken Arai
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
| | - Anna Devor
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
- Department of Biomedical Engineering, Boston UniversityBostonUnited States
| | - Sava Sakadžić
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestownUnited States
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26
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Koueik J, Wesley UV, Dempsey RJ. Pathophysiology, cellular and molecular mechanisms of large and small vessel diseases. Neurochem Int 2023; 164:105499. [PMID: 36746322 DOI: 10.1016/j.neuint.2023.105499] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/25/2023] [Accepted: 01/29/2023] [Indexed: 02/07/2023]
Abstract
Cerebrovascular disease (CVD) is the second most common cause of cognitive impairment and dementia in aged population. CVD presents in a myriad number of clinical ways based on the functional location of pathology. While primary clinical emphasis has been placed on motor, speech and visual deficits, vascular cognitive decline is a vastly under recognized and devastating condition afflicting millions of Americans. CVD, a disease of the blood vessels that supply blood to brain involves an integration between small and large vessels. Cerebral large vessel diseases (LVD) are associated with atherosclerosis, artery-to-artery embolism, intracardiac embolism and a large vessel stroke leading to substantial functional disability. Cerebral small vessel disease (SVD) is critically involved in stroke, brain hemorrhages, cognitive decline and functional loss in elderly patients. An evolving understanding of cellular and molecular mechanisms emphasizes that inflammatory vascular changes contribute to systemic pathologic conditions of the central nervous systems (CNS), with specific clinical presentations including, cognitive decline. Advances in an understanding of pathophysiology of disease processes and therapeutic interventions may help improve outcomes. This review will focus on large and small vessels diseases and their relationship to vascular cognitive decline, atherosclerosis, stroke, and inflammatory neurodegeneration. We will also emphasize the molecular and cellular mechanisms, as well as genetic and epigenetic factors associated with LVD and SVD.
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Affiliation(s)
- Joyce Koueik
- Department of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, 53792, USA
| | - Umadevi V Wesley
- Department of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, 53792, USA
| | - Robert J Dempsey
- Department of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, 53792, USA.
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27
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Chung CP, Ihara M, Hilal S, Chen LK. Targeting cerebral small vessel disease to promote healthy aging: Preserving physical and cognitive functions in the elderly. Arch Gerontol Geriatr 2023; 110:104982. [PMID: 36868073 DOI: 10.1016/j.archger.2023.104982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/15/2023] [Accepted: 02/22/2023] [Indexed: 02/27/2023]
Abstract
Cerebral small vessel disease (SVD), which is highly age-related, is the most common neuroimaging finding in community-dwelling elderly individuals. In addition to increasing the risk of dementia and stroke, SVD is associated with cognitive and physical (particularly gait speed) functional impairments in the elderly. Here, we provide evidence suggesting covert SVD, e.g. without clinically evident stroke or dementia, as a critical target to preserve the functional ability that enables well-being in older age. First, we discuss the relationship between covert SVD and geriatric syndrome. SVD lesions found in non-demented, stroke-free elderly are actually not "silent" but are associated with accelerated age-related functional decline. We also review the brain structural and functional abnormalities associated with covert SVD and the possible mechanisms underlying their contributions to SVD-related cognitive and physical functional impairments. Finally, we reveal current data, though limited, on the management of elderly patients with covert SVD to prevent SVD lesion progression and functional decline. Although it is important in aging health, covert SVD is still under-recognized or misjudged by physicians in both neurological and geriatric professions. Improving the acknowledgment, detection, interpretation, and understanding of SVD would be a multidisciplinary priority to maintain cognitive and physical functions in the elderly. The dilemmas and future directions of clinical practice and research for the elderly with covert SVD are also included in the present review.
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Affiliation(s)
- Chih-Ping Chung
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; Center for Health Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Saima Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Memory Aging and Cognition Center, National University Health System, Singapore
| | - Liang-Kung Chen
- Center for Health Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan; Taipei Municipal Gan-Dau Hospital (managed by Taipei Veterans General Hospital), Taipei, Taiwan.
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28
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Shin P, Pian Q, Ishikawa H, Hamanaka G, Mandeville ET, Shuzhen G, Buyin F, Alfadhel M, Allu SR, Şencan-Eğilmez I, Li B, Ran C, Vinogradov SA, Ayata C, Lo EH, Arai K, Devor A, Sakadžić S. Aerobic exercise reverses aging-induced depth-dependent decline in cerebral microcirculation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.12.528244. [PMID: 36824939 PMCID: PMC9949059 DOI: 10.1101/2023.02.12.528244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
Aging is a major risk factor for cognitive impairment. Aerobic exercise benefits brain function and may promote cognitive health in older adults. However, underlying biological mechanisms across cerebral gray and white matter are poorly understood. Selective vulnerability of the white matter to small vessel disease and a link between white matter health and cognitive function suggests a potential role for responses in deep cerebral microcirculation. Here, we tested whether aerobic exercise modulates cerebral microcirculatory changes induced by aging. To this end, we carried out a comprehensive quantitative examination of changes in cerebral microvascular physiology in cortical gray and subcortical white matter in mice (3-6 vs. 19-21 months old), and asked whether and how exercise may rescue age-induced deficits. In the sedentary group, aging caused a more severe decline in cerebral microvascular perfusion and oxygenation in deep (infragranular) cortical layers and subcortical white matter compared with superficial (supragranular) cortical layers. Five months of voluntary aerobic exercise partly renormalized microvascular perfusion and oxygenation in aged mice in a depth-dependent manner, and brought these spatial distributions closer to those of young adult sedentary mice. These microcirculatory effects were accompanied by an improvement in cognitive function. Our work demonstrates the selective vulnerability of the deep cortex and subcortical white matter to aging-induced decline in microcirculation, as well as the responsiveness of these regions to aerobic exercise.
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Affiliation(s)
- Paul Shin
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Corresponding author:
| | - Qi Pian
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Hidehiro Ishikawa
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Gen Hamanaka
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Emiri T Mandeville
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Guo Shuzhen
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Fu Buyin
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Mohammed Alfadhel
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Srinivasa Rao Allu
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA, USA
| | - Ikbal Şencan-Eğilmez
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Biophotonics Research Center, Mallinckrodt Institute of Radiology, Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Baoqiang Li
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Chongzhao Ran
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Sergei A Vinogradov
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA, USA
| | - Cenk Ayata
- Neurovascular Research Laboratory, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Stroke Service, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Eng H Lo
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Ken Arai
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Anna Devor
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Sava Sakadžić
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
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29
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Tozer DJ, Brown RB, Walsh J, Hong YT, Williams GB, O’Brien JT, Aigbirhio FI, Fryer TD, Markus HS. Do Regions of Increased Inflammation Progress to New White Matter Hyperintensities?: A Longitudinal Positron Emission Tomography-Magnetic Resonance Imaging Study. Stroke 2023; 54:549-557. [PMID: 36621823 PMCID: PMC9855729 DOI: 10.1161/strokeaha.122.039517] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 12/06/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND Recent studies have demonstrated increased microglial activation using 11C-PK11195 positron emission tomography imaging, indicating central nervous system inflammation, in cerebral small vessel disease. However, whether such areas of neuroinflammation progress to tissue damage is uncertain. We determined whether white matter destined to become white matter hyperintensities (WMH) at 1 year had evidence of altered inflammation at baseline. METHODS Forty subjects with small vessel disease (20 sporadic and 20 cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy) and 20 controls were recruited to this case-control observational study from in- and out-patient clinics at Addenbrooke's Hospital, Cambridge, UK and imaged at baseline with both 11C-PK11195 positron emission tomography and magnetic resonance imaging; and magnetic resonance imaging including diffusion tensor imaging was repeated at 1 year. WMH were segmented at baseline and 1 year, and areas of new lesion identified. Baseline 11C-PK11195 binding potential and diffusion tensor imaging parameters in these voxels, and normal appearing white matter, was measured. RESULTS Complete positron emission tomography-magnetic resonance imaging data was available for 17 controls, 16 sporadic small vessel disease, and 14 cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy participants. 11C-PK11195 binding in voxels destined to become new WMH was lower than in normal appearing white matter, which did not progress to WMH (-0.133[±0.081] versus -0.045 [±0.044]; P<0.001). Mean diffusivity was higher and mean fractional anisotropy lower in new WMH voxels than in normal appearing white matter (900 [±80]×10-6 versus 1045 [±149]×10-6 mm2/s and 0.37±0.05 versus 0.29±0.06, both P<0.001) consistent with new WMH showing tissue damage on diffusion tensor imaging a year prior to developing into new WMH; similar results were seen across the 3 groups. CONCLUSIONS White matter tissue destined to develop into new WMH over the subsequent year is associated with both lower neuroinflammation, and white matter ultrastructural damage at baseline. Our results suggest that this tissue is already damaged 1 year prior to lesion formation. This may reflect that the role of neuroinflammation in the lesion development process occurs at an early stage, although more studies over a longer period would be needed to investigate this further.
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Affiliation(s)
- Daniel J. Tozer
- Stroke Research Group (D.J.T., R.B.B., J.W., H.S.M.), University of Cambridge, United Kingdom
| | - Robin B. Brown
- Stroke Research Group (D.J.T., R.B.B., J.W., H.S.M.), University of Cambridge, United Kingdom
| | - Jessica Walsh
- Stroke Research Group (D.J.T., R.B.B., J.W., H.S.M.), University of Cambridge, United Kingdom
| | - Young T. Hong
- Wolfson Brain Imaging Center (Y.T.H., G.B.W., F.I.A., T.D.F.), University of Cambridge, United Kingdom
| | - Guy B. Williams
- Wolfson Brain Imaging Center (Y.T.H., G.B.W., F.I.A., T.D.F.), University of Cambridge, United Kingdom
| | - John T. O’Brien
- Department of Clinical Neurosciences, and Department of Psychiatry (J.T.O.B.), University of Cambridge, United Kingdom
| | - Franklin I. Aigbirhio
- Wolfson Brain Imaging Center (Y.T.H., G.B.W., F.I.A., T.D.F.), University of Cambridge, United Kingdom
| | - Tim D. Fryer
- Wolfson Brain Imaging Center (Y.T.H., G.B.W., F.I.A., T.D.F.), University of Cambridge, United Kingdom
| | - Hugh S. Markus
- Stroke Research Group (D.J.T., R.B.B., J.W., H.S.M.), University of Cambridge, United Kingdom
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The NLRP3 Inflammasome in Age-Related Cerebral Small Vessel Disease Manifestations: Untying the Innate Immune Response Connection. LIFE (BASEL, SWITZERLAND) 2023; 13:life13010216. [PMID: 36676165 PMCID: PMC9866483 DOI: 10.3390/life13010216] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/07/2023] [Accepted: 01/09/2023] [Indexed: 01/14/2023]
Abstract
In this narrative review, we present the evidence on nucleotide-binding and oligomerization (NOD) domain-like receptor (NLR) family pyrin domain (PYD)-containing 3 (NLRP3) inflammasome activation for its putative roles in the elusive pathomechanism of aging-related cerebral small vessel disease (CSVD). Although NLRP3 inflammasome-interleukin (IL)-1β has been implicated in the pathophysiology of coronary artery disease, its roles in cerebral arteriothrombotic micro-circulation disease such as CSVD remains unexplored. Here, we elaborate on the current manifestations of CSVD and its' complex pathogenesis and relate the array of activators and aberrant activation involving NLRP3 inflammasome with this condition. These neuroinflammatory insights would expand on our current understanding of CSVD clinical (and subclinical) heterogenous manifestations whilst highlighting plausible NLRP3-linked therapeutic targets.
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Zedde M, Linn J, Katsanos AH, Pascarella R. Editorial: Small vessel disease: From diagnosis to organized management pathways. Front Neurol 2023; 13:1120426. [PMID: 36703631 PMCID: PMC9872149 DOI: 10.3389/fneur.2022.1120426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 12/28/2022] [Indexed: 01/12/2023] Open
Affiliation(s)
- Marialuisa Zedde
- Neurology Unit, Stroke Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy,*Correspondence: Marialuisa Zedde ✉
| | - Jennifer Linn
- Institute of Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Aristeidis H. Katsanos
- Division of Neurology, McMaster University and Population Health Research Institute, Hamilton, ON, Canada
| | - Rosario Pascarella
- Neuroradiology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
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Kent DM, Leung LY, Zhou Y, Luetmer PH, Kallmes DF, Nelson J, Fu S, Puttock EJ, Zheng C, Liu H, Chen W. Association of Incidentally Discovered Covert Cerebrovascular Disease Identified Using Natural Language Processing and Future Dementia. J Am Heart Assoc 2023; 12:e027672. [PMID: 36565208 PMCID: PMC9973577 DOI: 10.1161/jaha.122.027672] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 11/09/2022] [Indexed: 12/25/2022]
Abstract
Background Covert cerebrovascular disease (CCD) has been shown to be associated with dementia in population-based studies with magnetic resonance imaging (MRI) screening, but dementia risk associated with incidentally discovered CCD is not known. Methods and Results Individuals aged ≥50 years enrolled in the Kaiser Permanente Southern California health system receiving head computed tomography (CT) or MRI for nonstroke indications from 2009 to 2019, without prior ischemic stroke/transient ischemic attack, dementia/Alzheimer disease, or visit reason/scan indication suggestive of cognitive decline or stroke were included. Natural language processing identified incidentally discovered covert brain infarction (id-CBI) and white matter disease (id-WMD) on the neuroimage report; white matter disease was characterized as mild, moderate, severe, or undetermined. We estimated risk of dementia associated with id-CBI and id-WMD. Among 241 050 qualified individuals, natural language processing identified 69 931 (29.0%) with id-WMD and 11 328 (4.7%) with id-CBI. Dementia incidence rates (per 1000 person-years) were 23.5 (95% CI, 22.9-24.0) for patients with id-WMD, 29.4 (95% CI, 27.9-31.0) with id-CBI, and 6.0 (95% CI, 5.8-6.2) without id-CCD. The association of id-WMD with future dementia was stronger in younger (aged <70 years) versus older (aged ≥70 years) patients and for CT- versus MRI-discovered lesions. For patients with versus without id-WMD on CT, the adjusted HR was 2.87 (95% CI, 2.58-3.19) for older and 1.87 (95% CI, 1.79-1.95) for younger patients. For patients with versus without id-WMD on MRI, the adjusted HR for dementia risk was 2.28 (95% CI, 1.99-2.62) for older and 1.48 (95% CI, 1.32-1.66) for younger patients. The adjusted HR for id-CBI was 2.02 (95% CI, 1.70-2.41) for older and 1.22 (95% CI, 1.15-1.30) for younger patients for either modality. Dementia risk was strongly correlated with id-WMD severity; adjusted HRs compared with patients who were negative for id-WMD by MRI ranged from 1.41 (95% CI, 1.25-1.60) for those with mild disease on MRI to 4.11 (95% CI, 3.58-4.72) for those with severe disease on CT. Conclusions Incidentally discovered CCD is common and associated with a high risk of dementia, representing an opportunity for prevention. The association is strengthened when discovered at younger age, by increasing id-WMD severity, and when id-WMD is detected by CT scan rather than MRI.
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Affiliation(s)
- David M. Kent
- Predictive Analytics and Comparative Effectiveness Center, Tufts Medical CenterBostonMA
| | | | - Yichen Zhou
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
| | | | | | - Jason Nelson
- Predictive Analytics and Comparative Effectiveness Center, Tufts Medical CenterBostonMA
| | - Sunyang Fu
- Department of AI and InformaticsMayo ClinicRochesterMN
| | - Eric J. Puttock
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
| | - Chengyi Zheng
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
| | - Hongfang Liu
- Department of AI and InformaticsMayo ClinicRochesterMN
| | - Wansu Chen
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCA
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Huang P, Zhang M. Magnetic Resonance Imaging Studies of Neurodegenerative Disease: From Methods to Translational Research. Neurosci Bull 2023; 39:99-112. [PMID: 35771383 PMCID: PMC9849544 DOI: 10.1007/s12264-022-00905-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/07/2022] [Indexed: 01/22/2023] Open
Abstract
Neurodegenerative diseases (NDs) have become a significant threat to an aging human society. Numerous studies have been conducted in the past decades to clarify their pathologic mechanisms and search for reliable biomarkers. Magnetic resonance imaging (MRI) is a powerful tool for investigating structural and functional brain alterations in NDs. With the advantages of being non-invasive and non-radioactive, it has been frequently used in both animal research and large-scale clinical investigations. MRI may serve as a bridge connecting micro- and macro-level analysis and promoting bench-to-bed translational research. Nevertheless, due to the abundance and complexity of MRI techniques, exploiting their potential is not always straightforward. This review aims to briefly introduce research progress in clinical imaging studies and discuss possible strategies for applying MRI in translational ND research.
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Affiliation(s)
- Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009 China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009 China
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Abstract
Cerebral small vessel disease (cSVD) is a major cause of stroke and dementia. This review summarizes recent developments in advanced neuroimaging of cSVD with a focus on clinical and research applications. In the first section, we highlight how advanced structural imaging techniques, including diffusion magnetic resonance imaging (MRI), enable improved detection of tissue damage, including characterization of tissue appearing normal on conventional MRI. These techniques enable progression to be monitored and may be useful as surrogate endpoint in clinical trials. Quantitative MRI, including iron and myelin imaging, provides insights into tissue composition on the molecular level. In the second section, we cover how advanced MRI techniques can demonstrate functional or dynamic abnormalities of the blood vessels, which could be targeted in mechanistic research and early-stage intervention trials. Such techniques include the use of dynamic contrast enhanced MRI to measure blood-brain barrier permeability, and MRI methods to assess cerebrovascular reactivity. In the third section, we discuss how the increased spatial resolution provided by ultrahigh field MRI at 7 T allows imaging of perforating arteries, and flow velocity and pulsatility within them. The advanced MRI techniques we describe are providing novel pathophysiological insights in cSVD and allow improved quantification of disease burden and progression. They have application in clinical trials, both in assessing novel therapeutic mechanisms, and as a sensitive endpoint to assess efficacy of interventions on parenchymal tissue damage. We also discuss challenges of these advanced techniques and suggest future directions for research.
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Affiliation(s)
- Hilde van den Brink
- Department of Neurology and
Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University,
Utrecht, The Netherlands
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences, UK
Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Marco Duering
- Medical Image Analysis Center (MIAC AG)
and qbig, Department of Biomedical Engineering, University of Basel, Basel,
Switzerland,Marco Duering, Medical Image Analysis
Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of
Basel, Marktgasse 8, Basel, CH-4051, Switzerland.
; @MarcoDuering
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35
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Abstract
Cerebral small vessel disease (SVD) causes lacunar stroke and intracerebral hemorrhage, and is the most common pathology underlying vascular cognitive impairment. Increasingly, the importance of other clinical features of SVD is being recognized including motor impairment, (vascular) parkinsonism, impaired balance, falls, and behavioral symptoms, such as depression, apathy, and personality change. Epidemiological data show a high prevalence of the characteristic magnetic resonance imaging (MRI) features of white matter hyperintensities and lacunar infarcts in community studies, and recent data suggest that it is also a major health burden in low- and middle-income countries. In this review, we cover advances in diagnosis, imaging, clinical presentations, pathogenesis, and treatment.The two most common pathologies underlying SVD are arteriolosclerosis caused by aging, hypertension, and other conventional vascular risk factors, and cerebral amyloid angiopathy (CAA) caused by vascular deposition of β-amyloid. We discuss the revised Boston criteria of CAA based on MRI features, which have been recently validated. Imaging is providing important insights into pathogenesis, including improved detection of tissue damage using diffusion tensor imaging (DTI) leading to its use to monitor progression and surrogate endpoints in clinical trials. Advanced MRI techniques can demonstrate functional or dynamic abnormalities of the blood vessels, while the high spatial resolution provided by ultrahigh field MRI at 7 T allows imaging of individual perforating arteries for the first time, and the measurement of flow velocity and pulsatility within these arteries. DTI and structural network analysis have highlighted the importance of network disruption in mediating the effect of different SVD pathologies in causing a number of symptoms, including cognitive impairment, apathy, and gait disturbance.Despite the public health importance of SVD, there are few proven treatments. We review the evidence for primary prevention, and recent data showing how intensive blood pressure lowering reduces white matter hyperintensities (WMH) progression and delays the onset of cognitive impairment. There are few treatments for secondary prevention, but a number of trials are currently evaluating novel treatment approaches. Recent advances have implicated molecular processes related to endothelial dysfunction, nitric oxide synthesis, blood-brain barrier integrity, maintenance and repair of the extracellular matrix, and inflammation. Novel treatment approaches are being developed to a number of these targets. Finally, we highlight the importance of large International collaborative initiatives in SVD to address important research questions and cover a number which have recently been established.
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Affiliation(s)
- Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Frank Erik de Leeuw
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands.,Center for Medical Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
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36
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Webb AJ, Wartolowska KA, Li L, Rothwell PM. Low Heart Rate Is Associated with Cerebral Pulsatility after TIA or Minor Stroke. Ann Neurol 2022; 92:909-920. [PMID: 36054225 PMCID: PMC9804869 DOI: 10.1002/ana.26480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/12/2022] [Accepted: 08/12/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Beta-blockers are beneficial in coronary artery disease but less so in stroke prevention and dementia, potentially due to reduced heart rate (HR). Cerebral pulsatility is strongly associated with cerebral small vessel disease (SVD) and may be increased by lower diastolic pressures resulting from longer cardiac cycles. METHODS Patients 4-6 weeks after TIA or non-disabling stroke (Oxford Vascular Study) underwent 5 minutes continuous monitoring of blood pressure (BP), electrocardiogram (ECG), and middle cerebral artery flow velocity (transcranial ultrasound). Beat-to-beat relationships between HR, blood pressure and Gosling's pulsatility index (MCA-PI) are reported as beta-coefficients from general linear models for each individual. RESULTS Across 759 patients, average MCA-PI during monitoring was associated with lower HR and diastolic BP (DBP) and greater systolic BP (SBP) (∆MCA-PI per 10 bpm/mmHg: -0.02, -0.04, 0.03, all p < 0.001), with HR particularly associated with low end-diastolic cerebral velocity (0.86, p = 0.014). Beat-to-beat HR was strongly associated with concurrent low DBP and high SBP, potentially mediating the association with greater beat-to-beat cerebral pulsatility (average ∆MCA-PI vs HR/DBP/SBP unadjusted: -0.062, -0.052, 0.0092; adjusted for concurrent BP: -0.039, -0.11, 0.041). The beat-to-beat association between HR and MCA-PI increased with age, beta-blockers, arterial stiffness, low HR (age > 70 + HR < 65 vs age < 70 + HR > 65: -0.081 vs -0.024, interaction p < 0.001), and severe SVD on MRI (age > 70 + severe vs age < 70 + none: -0.087 vs -0.047, interaction p = 0.03), with interactions between age, severe SVD, and low HR synergistically increasing MCA-PI. INTERPRETATION Low HR is associated with greater cerebral pulsatility in patients with SVD, potentially mediated by lower diastolic blood flow and representing a novel potential treatment target. ANN NEUROL 2022;92:909-920.
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Affiliation(s)
- Alastair J.S. Webb
- Wolfson Centre for Prevention of Stroke and DementiaUniversity of OxfordOxfordUK
| | | | - Linxin Li
- Wolfson Centre for Prevention of Stroke and DementiaUniversity of OxfordOxfordUK
| | - Peter M. Rothwell
- Wolfson Centre for Prevention of Stroke and DementiaUniversity of OxfordOxfordUK
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Pauls MMH, Binnie LR, Benjamin P, Betteridge S, Clarke B, Dhillon MPK, Ghatala R, Hainsworth FAH, Howe FA, Khan U, Kruuse C, Madigan JB, Moynihan B, Patel B, Pereira AC, Rostrup E, Shtaya ABY, Spilling CA, Trippier S, Williams R, Young R, Barrick TR, Isaacs JD, Hainsworth AH. The PASTIS trial: Testing tadalafil for possible use in vascular cognitive impairment. Alzheimers Dement 2022; 18:2393-2402. [PMID: 35135037 PMCID: PMC10078742 DOI: 10.1002/alz.12559] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 10/13/2021] [Accepted: 12/07/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION There are few randomized clinical trials in vascular cognitive impairment (VCI). This trial tested the hypothesis that the PDE5 inhibitor tadalafil, a widely used vasodilator, increases cerebral blood flow (CBF) in older people with symptomatic small vessel disease, the main cause of VCI. METHODS In a double-blind, placebo-controlled, cross-over trial, participants received tadalafil (20 mg) and placebo on two visits ≥7 days apart (randomized to order of treatment). The primary endpoint, change in subcortical CBF, was measured by arterial spin labelling. RESULTS Tadalafil increased CBF non-significantly in all subcortical areas (N = 55, age: 66.8 (8.6) years) with greatest treatment effect within white matter hyperintensities (+9.8%, P = .0960). There were incidental treatment effects on systolic and diastolic blood pressure (-7.8, -4.9 mmHg; P < .001). No serious adverse events were observed. DISCUSSION This trial did not identify a significant treatment effect of single-administration tadalafil on subcortical CBF. To detect treatment effects may require different dosing regimens.
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Affiliation(s)
- Mathilde M H Pauls
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK.,Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Lauren R Binnie
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK
| | - Philip Benjamin
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK.,Department of Neuroradiology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Shai Betteridge
- Department of Neuropsychology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Brian Clarke
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Mohani-Preet K Dhillon
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK
| | - Rita Ghatala
- South London Stroke Research Network, London, UK
| | - Fearghal A H Hainsworth
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK
| | - Franklyn A Howe
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK
| | - Usman Khan
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Christina Kruuse
- Department of Neurology and Neurovascular Research Unit, Herlev Gentofte Hospital, Hellerup, Denmark
| | - Jeremy B Madigan
- Department of Neuroradiology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Barry Moynihan
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK.,Department of Medicine, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
| | - Bhavini Patel
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Anthony C Pereira
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK.,Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Egill Rostrup
- Mental Health Centre, University of Copenhagen, Glostrup, Denmark
| | - Anan B Y Shtaya
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK
| | - Catherine A Spilling
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK
| | | | | | - Robin Young
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Thomas R Barrick
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK
| | - Jeremy D Isaacs
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK.,Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Atticus H Hainsworth
- Molecular & Clinical Sciences Research Institute, St George's University of London, London, UK.,Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
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38
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Han X, Zhang J, Chen S, Yu W, Zhou Y, Gu X. Mapping the current trends and hotspots of vascular cognitive impairment from 2000-2021: A bibliometric analysis. CNS Neurosci Ther 2022; 29:771-782. [PMID: 36415118 PMCID: PMC9928552 DOI: 10.1111/cns.14026] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 10/03/2022] [Accepted: 10/30/2022] [Indexed: 11/24/2022] Open
Abstract
AIMS To visualize the trends and hotspots in the scientific research related to vascular cognitive impairment (VCI) quantitatively and qualitatively. METHODS Cross-sectional bibliometric analysis of publications that related to VCI was conducted. Publications were found by searching in the Web of Science Core Collection database (WoSCC) - Edition: Science Citation Index Expanded (SCI-Expanded) from January 2000 to December 2021. Publication type was restricted to article and review in the English language. The downloaded data were screened and analyzed in January 2022. RESULTS In total, 16,264 publications were identified, with a steady increase in annual publications. The United States was the leading country in VCI research regarding publication numbers and national influence. National Institute of Aging had the highest influence among all the institutes in the field of VCI. Philip Scheltens was the most active author. The top five active authors' publications focused on pathobiology, neuroimaging standards, risk factors, prevention, and the standard diagnosis of vascular dementia (VaD). A co-cited publication clustering resulted in 19 main clusters, and the prevention, blood-brain barrier, cholesterol, cerebral amyloid angiopathy, and VaD were the top 5 clusters. Moreover, burst keywords detection revealed that the "small vessel disease" is the current hotspot in the field of VCI. CONCLUSIONS This bibliometric analysis mapped the overall research structure of VCI and analyzed the current research trends and hotspots for future studies orientation. Neuroimaging, risk factors detection, and pathobiology are the current trends in VCI research. Small vessel disease and its mechanisms are the current hotspots of VCI research.
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Affiliation(s)
- Xu Han
- Department of Radiology, Department of Anesthesiology, Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jian Zhang
- Department of Radiology, Department of Anesthesiology, Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Sifan Chen
- Department of Radiology, Department of Anesthesiology, Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Weifeng Yu
- Department of Radiology, Department of Anesthesiology, Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yan Zhou
- Department of Radiology, Department of Anesthesiology, Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiyao Gu
- Department of Radiology, Department of Anesthesiology, Renji HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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Markus HS, van Der Flier WM, Smith EE, Bath P, Biessels GJ, Briceno E, Brodtman A, Chabriat H, Chen C, de Leeuw FE, Egle M, Ganesh A, Georgakis MK, Gottesman RF, Kwon S, Launer L, Mok V, O'Brien J, Ottenhoff L, Pendlebury S, Richard E, Sachdev P, Schmidt R, Springer M, Tiedt S, Wardlaw JM, Verdelho A, Webb A, Werring D, Duering M, Levine D, Dichgans M. Framework for Clinical Trials in Cerebral Small Vessel Disease (FINESSE): A Review. JAMA Neurol 2022; 79:1187-1198. [PMID: 35969390 PMCID: PMC11036410 DOI: 10.1001/jamaneurol.2022.2262] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Cerebral small vessel disease (SVD) causes a quarter of strokes and is the most common pathology underlying vascular cognitive impairment and dementia. An important step to developing new treatments is better trial methodology. Disease mechanisms in SVD differ from other stroke etiologies; therefore, treatments need to be evaluated in cohorts in which SVD has been well characterized. Furthermore, SVD itself can be caused by a number of different pathologies, the most common of which are arteriosclerosis and cerebral amyloid angiopathy. To date, there have been few sufficiently powered high-quality randomized clinical trials in SVD, and inconsistent trial methodology has made interpretation of some findings difficult. Observations To address these issues and develop guidelines for optimizing design of clinical trials in SVD, the Framework for Clinical Trials in Cerebral Small Vessel Disease (FINESSE) was created under the auspices of the International Society of Vascular Behavioral and Cognitive Disorders. Experts in relevant aspects of SVD trial methodology were convened, and a structured Delphi consensus process was used to develop recommendations. Areas in which recommendations were developed included optimal choice of study populations, choice of clinical end points, use of brain imaging as a surrogate outcome measure, use of circulating biomarkers for participant selection and as surrogate markers, novel trial designs, and prioritization of therapeutic agents using genetic data via Mendelian randomization. Conclusions and Relevance The FINESSE provides recommendations for trial design in SVD for which there are currently few effective treatments. However, new insights into understanding disease pathogenesis, particularly from recent genetic studies, provide novel pathways that could be therapeutically targeted. In addition, whether other currently available cardiovascular interventions are specifically effective in SVD, as opposed to other subtypes of stroke, remains uncertain. FINESSE provides a framework for design of trials examining such therapeutic approaches.
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Affiliation(s)
- Hugh S Markus
- Alzheimer Center Amsterdam, Department of Neurology, Epidemiology and Data Science, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Wiesje M van Der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Epidemiology and Data Science, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Philip Bath
- Stroke Trials Unit, Mental Health & Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Emily Briceno
- Department of Physical Medicine & Rehabilitation, University of Michigan Medical School, Ann Arbor
| | - Amy Brodtman
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
- University of Melbourne, Melbourne, Victoria, Australia
- Monash University, Melbourne, Victoria, Australia
| | - Hugues Chabriat
- Department of Neurology, FHU NeuroVasc, APHP, University of Paris, Paris, France
| | - Christopher Chen
- Memory Aging and Cognition Centre, Departments of Pharmacology and Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijimegen, the Netherlands
| | - Marco Egle
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Aravind Ganesh
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Munich, Germany
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Rebecca F Gottesman
- Now with National Institute of Neurological Disorders and Stroke Intramural Research Program, Bethesda, Maryland
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sun Kwon
- University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Lenore Launer
- Intramural Research Program, National Institute on Aging, Baltimore, Maryland
| | - Vincent Mok
- Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - John O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Lois Ottenhoff
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam and the Netherlands and Brain Research Center Amsterdam, the Netherlands
| | - Sarah Pendlebury
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, NIHR Oxford Biomedical Research Centre, Departments of General (internal) Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Edo Richard
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijimegen, the Netherlands
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia
| | - Reinhold Schmidt
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Graz, Austria
| | | | - Stefan Tiedt
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh, United Kingdom
| | - Ana Verdelho
- Faculdade de Medicina, Department of Neurosciences and Mental Health, CHULN-Hospital de Santa Maria Instituto de Medicina Molecular (IMM) e Instituto de Saúde Ambiental (ISAMB), University of Lisbon, Lisbon, Portugal
| | - Alastair Webb
- Wolfson Centre for Prevention of Stroke and Dementia, Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - David Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Medical Image Analysis Center (MIAC AG) and Quantitative Biomedical Imaging Group, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Deborah Levine
- Departments of Internal Medicine and Neurology, University of Michigan, Ann Arbor
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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Liu D, Cai X, Yang Y, Wang S, Yao D, Mei L, Jing J, Li S, Yan H, Meng X, Li H, Wei T, Wang Y, Pan Y, Wang Y. Associations of Life's Simple 7 With Cerebral Small Vessel Disease. Stroke 2022; 53:2859-2867. [PMID: 35975667 DOI: 10.1161/strokeaha.122.038838] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The purpose of this study is to examine the associations of Life's Simple 7 (LS7) with risks of cerebral small vessel disease (CSVD) and its magnetic resonance imaging markers. METHODS Community-dwelling residents in Lishui city in China from the cross-sectional survey of the PRECISE study (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) were included in this study from 2017 to 2019. LS7 was analyzed as the total score, medical score (derived from the 3 metrics based on medical history and testing), and behavioral score (based on 4 metrics based on behaviors), and categorized as poor, intermediate, or ideal. A CSVD score or a modified CSVD score was derived from 4 magnetic resonance imaging markers (lacunes, microbleeds, perivascular spaces, and white matter hyperintensity) at baseline. Binary logistic regression or ordinal logistic regression model was used to estimate the relationship of LS7 scores with CSVD and magnetic resonance imaging markers. RESULTS A total of 3061 participants were included in this study. Compared with poor total LS7 score, ideal LS7 total score was associated with reduced adjusted odds of higher CSVD score (common odds ratio [cOR], 0.73 [95% CI, 0.58-0.90]) and higher modified CSVD score (cOR, 0.78 [95% CI, 0.64-0.95]). Compared with poor LS7 medical score, ideal LS7 medical score was associated with reduced adjusted odds of higher CSVD score (cOR, 0.65 [95% CI, 0.53-0.80]) and higher modified CSVD score (cOR, 0.67 [95% CI, 0.56-0.81]). Higher total LS7 score and LS7 medical score were associated with a lower risk of white matter hyperintensities and lacunes. Higher LS7 behavioral score was associated with lower risk of lacunes. CONCLUSIONS Ideal LS7 score, indicating excellent cardiovascular health, was associated with lower total CSVD burden. Optimizing the risk factors captured by LS7 may reduce the progression of CSVD.
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Affiliation(s)
- Dandan Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, China (X.C., S.W.)
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Suying Wang
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, China (X.C., S.W.)
- Cerebrovascular Research Laboratory, Lishui Hospital, Zhejiang University School of Medicine, China (S.W., L.M.)
| | - Dongxiao Yao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Lerong Mei
- Cerebrovascular Research Laboratory, Lishui Hospital, Zhejiang University School of Medicine, China (S.W., L.M.)
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | | | - Hongyi Yan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, China (T.W.)
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (Yongjun Wang)
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- Chinese Institute for Brain Research, Beijing (Yilong Wang)
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (Yilong Wang)
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Brown RB, Tozer DJ, Loubière L, Hong YT, Fryer TD, Williams GB, Graves MJ, Aigbirhio FI, O’Brien JT, Markus HS. MINocyclinE to Reduce inflammation and blood brain barrier leakage in small Vessel diseAse (MINERVA) trial study protocol. Eur Stroke J 2022; 7:323-330. [PMID: 36082255 PMCID: PMC9445404 DOI: 10.1177/23969873221100338] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/24/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Cerebral small vessel disease (SVD) is a common cause of stroke and cognitive impairment. Recent data has implicated neuroinflammation and increased blood-brain barrier (BBB) permeability in its pathogenesis, but whether such processes are causal and can be therapeutically modified is uncertain. In a rodent model of SVD, minocycline was associated with reduced white matter lesions, inflammation and BBB permeability. Aims: To determine whether blood-brain barrier permeability (measured using dynamic contrast-enhanced MRI) and microglial activation (measured by positron emission tomography using the radioligand 11C-PK11195) can be modified in SVD. Design: Phase II randomised double blind, placebo-controlled trial of minocycline 100 mg twice daily for 3 months in 44 participants with moderate to severe SVD defined as a clinical lacunar stroke and confluent white matter hyperintensities. Outcomes: Primary outcome measures are volume and intensity of focal increases of blood-brain barrier permeability and microglial activation determined using PET-MRI imaging. Secondary outcome measures include inflammatory biomarkers in serum, and change in conventional MRI markers and cognitive performance over 1 year follow up. Discussion: The MINERVA trial aims to test whether minocycline can influence novel pathological processes thought to be involved in SVD progression, and will provide insights into whether central nervous system inflammation in SVD can be therapeutically modulated.
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Affiliation(s)
- Robin B Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Daniel J Tozer
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Laurence Loubière
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Young T Hong
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, UK
| | - Tim D Fryer
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, UK
| | - Guy B Williams
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, UK
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Franklin I Aigbirhio
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, UK
| | - John T O’Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Hugh S Markus
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Ambrosino P, Bachetti T, D’Anna SE, Galloway B, Bianco A, D’Agnano V, Papa A, Motta A, Perrotta F, Maniscalco M. Mechanisms and Clinical Implications of Endothelial Dysfunction in Arterial Hypertension. J Cardiovasc Dev Dis 2022; 9:136. [PMID: 35621847 PMCID: PMC9146906 DOI: 10.3390/jcdd9050136] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/19/2022] [Accepted: 04/22/2022] [Indexed: 02/06/2023] Open
Abstract
The endothelium is composed of a monolayer of endothelial cells, lining the interior surface of blood and lymphatic vessels. Endothelial cells display important homeostatic functions, since they are able to respond to humoral and hemodynamic stimuli. Thus, endothelial dysfunction has been proposed as a key and early pathogenic mechanism in many clinical conditions. Given the relevant repercussions on cardiovascular risk, the complex interplay between endothelial dysfunction and systemic arterial hypertension has been a matter of study in recent years. Numerous articles have been published on this issue, all of which contribute to providing an interesting insight into the molecular mechanisms of endothelial dysfunction in arterial hypertension and its role as a biomarker of inflammation, oxidative stress, and vascular disease. The prognostic and therapeutic implications of endothelial dysfunction have also been analyzed in this clinical setting, with interesting new findings and potential applications in clinical practice and future research. The aim of this review is to summarize the pathophysiology of the relationship between endothelial dysfunction and systemic arterial hypertension, with a focus on the personalized pharmacological and rehabilitation strategies targeting endothelial dysfunction while treating hypertension and cardiovascular comorbidities.
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Affiliation(s)
- Pasquale Ambrosino
- Istituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation Unit of Telese Terme Institute, 82037 Telese Terme, Italy;
| | - Tiziana Bachetti
- Istituti Clinici Scientifici Maugeri IRCCS, Scientific Direction, 27100 Pavia, Italy;
| | - Silvestro Ennio D’Anna
- Istituti Clinici Scientifici Maugeri IRCCS, Pulmonary Rehabilitation Unit of Telese Terme Institute, 82037 Telese Terme, Italy;
| | - Brurya Galloway
- Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, 80131 Naples, Italy; (B.G.); (A.B.); (V.D.); (F.P.)
| | - Andrea Bianco
- Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, 80131 Naples, Italy; (B.G.); (A.B.); (V.D.); (F.P.)
| | - Vito D’Agnano
- Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, 80131 Naples, Italy; (B.G.); (A.B.); (V.D.); (F.P.)
| | - Antimo Papa
- Istituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation Unit of Telese Terme Institute, 82037 Telese Terme, Italy;
| | - Andrea Motta
- Institute of Biomolecular Chemistry, National Research Council, 80078 Pozzuoli, Italy;
| | - Fabio Perrotta
- Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, 80131 Naples, Italy; (B.G.); (A.B.); (V.D.); (F.P.)
| | - Mauro Maniscalco
- Istituti Clinici Scientifici Maugeri IRCCS, Pulmonary Rehabilitation Unit of Telese Terme Institute, 82037 Telese Terme, Italy;
- Department of Clinical Medicine and Surgery, “Federico II” University, 80131 Naples, Italy
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Fohner AE, Bartz TM, Tracy RP, Adams HHH, Bis JC, Djousse L, Satizabal CL, Lopez OL, Seshadri S, Mukamal KJ, Kuller LH, Psaty BM, Longstreth WT. Association of Serum Neurofilament Light Chain Concentration and MRI Findings in Older Adults: The Cardiovascular Health Study. Neurology 2022; 98:e903-e911. [PMID: 34921102 PMCID: PMC8901174 DOI: 10.1212/wnl.0000000000013229] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 12/08/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Neurofilament light chain (NfL) in blood is a sensitive but nonspecific marker of brain injury. This study sought to evaluate associations between NfL concentration and MRI findings of vascular brain injury in older adults. METHODS A longitudinal cohort study included 2 cranial MRI scans performed about 5 years apart and assessed for white matter hyperintensities (WMH) and infarcts. About 1 year before their second MRI, 1,362 participants (median age 77 years, 61.4% women) without a history of TIA or stroke had measurement of 4 biomarkers: NfL, total tau, glial fibrillary acidic protein (GFAP), and ubiquitin carboxyl-terminal hydrolase L1. Most (n = 1,279) also had the first MRI scan, and some (n = 633) had quantitative measurements of hippocampal and WMH. In primary analyses, we assessed associations of NfL with a 10-point white matter grade (WMG) and prevalent infarcts on second MRI and with worsening WMG and incident infarct comparing the 2 scans. A p value <0.0125 (0.05/4) was considered significant for these analyses. We also assessed associations with hippocampal and WMH volume. RESULTS In fully adjusted models, log2(NfL) concentration was associated with WMG (β = 0.27; p = 2.3 × 10-4) and worsening WMG (relative risk [RR] 1.24; p = 0.0022), but less strongly with prevalent brain infarcts (RR 1.18; p = 0.013) and not with incident brain infarcts (RR 1.18; p = 0.18). Associations were also present with WMH volume (β = 2,242.9, p = 0.0036). For the other 3 biomarkers, the associations for log2 (GFAP) concentration with WMG and worsening WMG were significant. DISCUSSION Among older adults without a history of stroke, higher serum NfL concentration was associated with covert MRI findings of vascular brain injury, especially the burden of WMH and its worsening. Whether these results offer opportunities for the use of NfL as a noninvasive biomarker of WMH or to control vascular risk factors remains to be determined.
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Affiliation(s)
- Alison E Fohner
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA.
| | - Traci M Bartz
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Russell P Tracy
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Hieab H H Adams
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Joshua C Bis
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Luc Djousse
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Claudia L Satizabal
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Oscar L Lopez
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Sudha Seshadri
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Kenneth J Mukamal
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Lewis H Kuller
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Bruce M Psaty
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - W T Longstreth
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
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White matter damage as a consequence of vascular dysfunction in a spontaneous mouse model of chronic mild chronic hypoperfusion with eNOS deficiency. Mol Psychiatry 2022; 27:4754-4769. [PMID: 35948662 PMCID: PMC9734049 DOI: 10.1038/s41380-022-01701-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 06/20/2022] [Accepted: 07/01/2022] [Indexed: 12/14/2022]
Abstract
Vascular cognitive impairment and dementia (VCID) is the second most common form of dementia after Alzheimer's disease (AD). Currently, the mechanistic insights into the evolution and progression of VCID remain elusive. White matter change represents an invariant feature. Compelling clinical neuroimaging and pathological evidence suggest a link between white matter changes and neurodegeneration. Our prior study detected hypoperfused lesions in mice with partial deficiency of endothelial nitric oxide (eNOS) at very young age, precisely matching to those hypoperfused areas identified in preclinical AD patients. White matter tracts are particularly susceptible to the vascular damage induced by chronic hypoperfusion. Using immunohistochemistry, we detected severe demyelination in the middle-aged eNOS-deficient mice. The demyelinated areas were confined to cortical and subcortical areas including the corpus callosum and hippocampus. The intensity of demyelination correlated with behavioral deficits of gait and associative recognition memory performances. By Evans blue angiography, we detected blood-brain barrier (BBB) leakage as another early pathological change affecting frontal and parietal cortex in eNOS-deficient mice. Sodium nitrate fortified drinking water provided to young and middle-aged eNOS-deficient mice completely prevented non-perfusion, BBB leakage, and white matter pathology, indicating that impaired endothelium-derived NO signaling may have caused these pathological events. Furthermore, genome-wide transcriptomic analysis revealed altered gene clusters most related to mitochondrial respiratory pathways selectively in the white matter of young eNOS-deficient mice. Using eNOS-deficient mice, we identified BBB breakdown and hypoperfusion as the two earliest pathological events, resulting from insufficient vascular NO signaling. We speculate that the compromised BBB and mild chronic hypoperfusion trigger vascular damage, along with oxidative stress and astrogliosis, accounting for the white matter pathological changes in the eNOS-deficient mouse model. We conclude that eNOS-deficient mice represent an ideal spontaneous evolving model for studying the earliest events leading to white matter changes, which will be instrumental to future therapeutic testing of drug candidates and for targeting novel/specific vascular mechanisms contributing to VCID and AD.
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Egle M, Hilal S, Tuladhar AM, Pirpamer L, Bell S, Hofer E, Duering M, Wason J, Morris RG, Dichgans M, Schmidt R, Tozer DJ, Barrick TR, Chen C, de Leeuw FE, Markus HS. Determining the OPTIMAL DTI analysis method for application in cerebral small vessel disease. NEUROIMAGE: CLINICAL 2022; 35:103114. [PMID: 35908307 PMCID: PMC9421487 DOI: 10.1016/j.nicl.2022.103114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 05/24/2022] [Accepted: 07/10/2022] [Indexed: 11/23/2022] Open
Abstract
We were not able to identify a single optimal diffusion-weighted imaging analysis strategy across all 6 cohorts. Diffusion tensor imaging measures at baseline predicted dementia conversion in cerebral small vessel disease and mild cognitive impairment. Diffusion tensor imaging measures at baseline may be sensitive to differentiate between later vascular dementia vs Alzheimer’s disease dementia. Diffusion tensor imaging measures significantly changed over time in cohorts with cerebral small vessel disease and cohorts with mild cognitive impairment. Change in diffusion tensor imaging measures were only consistently associated with dementia conversion in severe SVD. The diffusion tensor imaging measures PSMD and DSEG required the lowest minimum sample sizes for a hypothetical clinical trial in patients with sporadic cerebral small vessel disease and mild cognitive impairment.
Background DTI is sensitive to white matter (WM) microstructural damage and has been suggested as a surrogate marker for phase 2 clinical trials in cerebral small vessel disease (SVD). The study’s objective is to establish the best way to analyse the diffusion-weighted imaging data in SVD for this purpose. The ideal method would be sensitive to change and predict dementia conversion, but also straightforward to implement and ideally automated. As part of the OPTIMAL collaboration, we evaluated five different DTI analysis strategies across six different cohorts with differing SVD severity. Methods Those 5 strategies were: (1) conventional mean diffusivity WM histogram measure (MD median), (2) a principal component-derived measure based on conventional WM histogram measures (PC1), (3) peak width skeletonized mean diffusivity (PSMD), (4) diffusion tensor image segmentation θ (DSEG θ) and (5) a WM measure of global network efficiency (Geff). The association between each measure and cognitive function was tested using a linear regression model adjusted by clinical markers. Changes in the imaging measures over time were determined. In three cohort studies, repeated imaging data together with data on incident dementia were available. The association between the baseline measure, change measure and incident dementia conversion was examined using Cox proportional-hazard regression or logistic regression models. Sample size estimates for a hypothetical clinical trial were furthermore computed for each DTI analysis strategy. Results There was a consistent cross-sectional association between the imaging measures and impaired cognitive function across all cohorts. All baseline measures predicted dementia conversion in severe SVD. In mild SVD, PC1, PSMD and Geff predicted dementia conversion. In MCI, all markers except Geff predicted dementia conversion. Baseline DTI was significantly different in patients converting to vascular dementia than to Alzheimer’ s disease. Significant change in all measures was associated with dementia conversion in severe but not in mild SVD. The automatic and semi-automatic measures PSMD and DSEG θ required the lowest minimum sample sizes for a hypothetical clinical trial in single-centre sporadic SVD cohorts. Conclusion DTI parameters obtained from all analysis methods predicted dementia, and there was no clear winner amongst the different analysis strategies. The fully automated analysis provided by PSMD offers advantages particularly for large datasets.
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Affiliation(s)
- Marco Egle
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore; Memory Ageing and Cognition Center, National University Health System, Singapore
| | - Anil M Tuladhar
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Lukas Pirpamer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Steven Bell
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Edith Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Marco Duering
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - James Wason
- Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Newcastle Upon Tyne, United Kingdom
| | - Robin G Morris
- Department of Psychology (R.G.M.), King's College, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Daniel J Tozer
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Thomas R Barrick
- Neurosciences Research Centre, Institute for Molecular and Clinical Sciences, St George's, University of London, United Kingdom
| | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore; Memory Ageing and Cognition Center, National University Health System, Singapore
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
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Brown R, Low A, Markus HS. Rate of, and risk factors for, white matter hyperintensity growth: a systematic review and meta-analysis with implications for clinical trial design. J Neurol Neurosurg Psychiatry 2021; 92:1271-1277. [PMID: 34344790 DOI: 10.1136/jnnp-2021-326569] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/05/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND White matter hyperintensities (WMHs) are a highly prevalent MRI marker of cerebral small vessel disease (SVD), which predict stroke and dementia risk, and are being increasingly used as a surrogate marker in clinical trials. However, the influence of study population selection on WMH progression rate has not been studied and the effect of individual patient factors for WMH growth are not fully understood. METHODS We performed a systematic review and meta-analysis of the literature on progression of WMHs in longitudinal studies to determine rates of WMH growth, and how these varied according to population characteristics and cardiovascular risk factors. We used these data to calculate necessary sample sizes for clinical trials using WMH as an endpoint. RESULTS WMH growth rate was highest in SVD (2.50cc/year), intermediate in unselected stroke patients (1.29cc/year) and lower in patients with non-stroke cardiovascular disease, and with cognitive impairment. Age was significantly associated with progression (correlation coefficient 0.15cc/year, 95% CI 0.02 to 0.28cc/year) as was baseline lesion volume (0.6cc/year, 95% CI 0.13 to 1.06 cc/year). Both hypertension (OR 1.72, 95% CI 1.19 to 2.46) and current smoking (OR 1.48, 95% CI 1.02 to 2.16) were associated with WMH growth. Sample sizes for a clinical trial varied greatly with patient population selection and baseline lesion volume; estimates are provided. CONCLUSIONS WMH progression varies markedly according to the characteristics of the population being studied and this will have a major impact on sample sizes required in a clinical trial. Our sample size estimates provide data for planning clinical trials using WMH as an outcome measure. PROSPERO REGISTRATION NUMBER CRD42020191781.
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Affiliation(s)
- Robin Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Audrey Low
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Hugh S Markus
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Durrani R, Friedrich MG, Schulze KM, Awadalla P, Balasubramanian K, Black SE, Broet P, Busseuil D, Desai D, Dummer T, Dick A, Hicks J, Iype T, Kelton D, Kirpalani A, Lear SA, Leipsic J, Li W, McCreary CR, Moody AR, Noseworthy MD, Parraga G, Poirier P, Rangarajan S, Szczesniak D, Szuba A, Tardif JC, Teo K, Vena JE, Zatonska K, Zimny A, Lee DS, Yusuf S, Anand SS, Smith EE. Effect of Cognitive Reserve on the Association of Vascular Brain Injury With Cognition: Analysis of the PURE and CAHHM Studies. Neurology 2021; 97:e1707-e1716. [PMID: 34504021 PMCID: PMC8605614 DOI: 10.1212/wnl.0000000000012765] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 09/03/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To determine whether cognitive reserve attenuates the association of vascular brain injury with cognition. METHODS Cross-sectional data were analyzed from 2 harmonized studies: the Canadian Alliance for Healthy Hearts and Healthy Minds (CAHHM) and the Prospective Urban and Rural Epidemiology (PURE) study. Markers of cognitive reserve were education, involvement in social activities, marital status, height, and leisure physical activity, which were combined into a composite score. Vascular brain injury was defined as nonlacunar brain infarcts or high white matter hyperintensity (WMH) burden on MRI. Cognition was assessed using the Montreal Cognitive Assessment Tool (MoCA) and the Digit Symbol Substitution Test (DSST). RESULTS There were 10,916 participants age 35-81. Mean age was 58.8 years (range 35-81) and 55.8% were female. Education, moderate leisure physical activity, being in a marital partnership, being taller, and participating in social groups were each independently associated with higher cognition, as was the composite cognitive reserve score. Vascular brain injury was associated with lower cognition (β -0.35 [95% confidence interval [CI] -0.53 to -0.17] for MoCA and β -2.19 [95% CI -3.22 to -1.15] for DSST) but the association was not modified by the composite cognitive reserve variable (interaction p = 0.59 for MoCA and p = 0.72 for DSST). CONCLUSIONS Both vascular brain injury and markers of cognitive reserve are associated with cognition. However, the effects were independent such that the adverse effects of covert vascular brain injury were not attenuated by higher cognitive reserve. To improve cognitive brain health, interventions to both prevent cerebrovascular disease and promote positive lifestyles are needed.
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Affiliation(s)
- Romella Durrani
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Matthias G Friedrich
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Karleen M Schulze
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Philip Awadalla
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Kumar Balasubramanian
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Sandra E Black
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Philippe Broet
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - David Busseuil
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Dipika Desai
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Trevor Dummer
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Alexander Dick
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Jason Hicks
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Thomas Iype
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - David Kelton
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Anish Kirpalani
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Scott A Lear
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Jonathon Leipsic
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Wei Li
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Cheryl R McCreary
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Alan R Moody
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Michael D Noseworthy
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Grace Parraga
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Paul Poirier
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Sumathy Rangarajan
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Dorota Szczesniak
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Andrzej Szuba
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Jean-Claude Tardif
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Koon Teo
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Jennifer E Vena
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Katarzyna Zatonska
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Anna Zimny
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Douglas S Lee
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Salim Yusuf
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Sonia S Anand
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Eric E Smith
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada.
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Evans LE, Taylor JL, Smith CJ, Pritchard HAT, Greenstein AS, Allan SM. Cardiovascular co-morbidities, inflammation and cerebral small vessel disease. Cardiovasc Res 2021; 117:2575-2588. [PMID: 34499123 DOI: 10.1093/cvr/cvab284] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Indexed: 12/15/2022] Open
Abstract
Cerebral small vessel disease (cSVD) is the most common cause of vascular cognitive impairment and affects all levels of the brain's vasculature. Features include diverse structural and functional changes affecting small arteries and capillaries that lead to a decline in cerebral perfusion. Due to an aging population, incidence of cerebral small vessel disease (cSVD) is continually rising. Despite its prevalence and its ability to cause multiple debilitating illnesses, such as stroke and dementia, there are currently no therapeutic strategies for the treatment of cSVD. In the healthy brain, interactions between neuronal, vascular and inflammatory cells are required for normal functioning. When these interactions are disturbed, chronic pathological inflammation can ensue. The interplay between cSVD and inflammation has attracted much recent interest and this review discusses chronic cardiovascular diseases, particularly hypertension, and explores how the associated inflammation may impact on the structure and function of the small arteries of the brain in cSVD. Molecular approaches in animal studies are linked to clinical outcomes in patients and novel hypotheses regarding inflammation and cSVD are proposed that will hopefully stimulate further discussion and study in this important area.
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Affiliation(s)
- Lowri E Evans
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
| | - Jade L Taylor
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
| | - Craig J Smith
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK.,Manchester Centre for Clinical Neurosciences, Manchester Academic Health Science Centre, Salford Royal Hospital, Manchester Academic Health Sciences Centre (MAHSC)
| | - Harry A T Pritchard
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
| | - Adam S Greenstein
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
| | - Stuart M Allan
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK.,Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, UK
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Che Mohd Nassir CMN, Damodaran T, Yusof SR, Norazit A, Chilla G, Huen I, K. N. BP, Mohamed Ibrahim N, Mustapha M. Aberrant Neurogliovascular Unit Dynamics in Cerebral Small Vessel Disease: A Rheological Clue to Vascular Parkinsonism. Pharmaceutics 2021; 13:1207. [PMID: 34452169 PMCID: PMC8398765 DOI: 10.3390/pharmaceutics13081207] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/29/2021] [Accepted: 08/03/2021] [Indexed: 12/26/2022] Open
Abstract
The distinctive anatomical assemble and functionally discrete multicellular cerebrovasculature dynamics confer varying rheological and blood-brain barrier permeabilities to preserve the integrity of cerebral white matter and its neural microenvironment. This homeostasis intricately involves the glymphatic system that manages the flow of interstitial solutes, metabolic waste, and clearance through the venous circulation. As a physiologically integrated neurogliovascular unit (NGVU) serving a particularly vulnerable cerebral white matter (from hypoxia, metabolic insults, infection, and inflammation), a likely insidious process over a lifetime could inflict microenvironment damages that may lead to pathological conditions. Two such conditions, cerebral small vessel disease (CSVD) and vascular parkinsonism (VaP), with poorly understood pathomechanisms, are frequently linked to this brain-wide NGVU. VaP is widely regarded as an atypical parkinsonism, described by cardinal motor manifestations and the presence of cerebrovascular disease, particularly white matter hyperintensities (WMHs) in the basal ganglia and subcortical region. WMHs, in turn, are a recognised imaging spectrum of CSVD manifestations, and in relation to disrupted NGVU, also include enlarged perivascular spaces. Here, in this narrative review, we present and discuss on recent findings that argue for plausible clues between CSVD and VaP by focusing on aberrant multicellular dynamics of a unique integrated NGVU-a crossroad of the immune-vascular-nervous system-which may also extend fresher insights into the elusive interplay between cerebral microvasculature and neurodegeneration, and the potential therapeutic targets.
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Affiliation(s)
- Che Mohd Nasril Che Mohd Nassir
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia;
| | - Thenmoly Damodaran
- Centre for Drug Research, Universiti Sains Malaysia, Minden 11800, Penang, Malaysia; (T.D.); (S.R.Y.)
| | - Siti R. Yusof
- Centre for Drug Research, Universiti Sains Malaysia, Minden 11800, Penang, Malaysia; (T.D.); (S.R.Y.)
| | - Anwar Norazit
- Department of Biomedical Science, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Selangor, Malaysia;
| | - Geetha Chilla
- A*STAR Institute of Bioengineering and Bioimaging, Helios, 11 Biopolis Way, Singapore 138667, Singapore; (G.C.); (I.H.); (B.P.K.N.)
| | - Isaac Huen
- A*STAR Institute of Bioengineering and Bioimaging, Helios, 11 Biopolis Way, Singapore 138667, Singapore; (G.C.); (I.H.); (B.P.K.N.)
| | - Bhanu Prakash K. N.
- A*STAR Institute of Bioengineering and Bioimaging, Helios, 11 Biopolis Way, Singapore 138667, Singapore; (G.C.); (I.H.); (B.P.K.N.)
| | - Norlinah Mohamed Ibrahim
- Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Selangor, Malaysia;
| | - Muzaimi Mustapha
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia;
- Hospital Universiti Sains Malaysia, Jalan Raja Perempuan Zainab II, Kubang Kerian 16150, Kelantan, Malaysia
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50
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Wardlaw JM, Debette S, Jokinen H, De Leeuw FE, Pantoni L, Chabriat H, Staals J, Doubal F, Rudilosso S, Eppinger S, Schilling S, Ornello R, Enzinger C, Cordonnier C, Taylor-Rowan M, Lindgren AG. ESO Guideline on covert cerebral small vessel disease. Eur Stroke J 2021; 6:CXI-CLXII. [PMID: 34414301 PMCID: PMC8370079 DOI: 10.1177/23969873211012132] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 04/02/2021] [Indexed: 12/11/2022] Open
Abstract
'Covert' cerebral small vessel disease (ccSVD) is common on neuroimaging in persons without overt neurological manifestations, and increases the risk of future stroke, cognitive impairment, dependency, and death. These European Stroke Organisation (ESO) guidelines provide evidence-based recommendations to assist with clinical decisions about management of ccSVD, specifically white matter hyperintensities and lacunes, to prevent adverse clinical outcomes. The guidelines were developed according to ESO standard operating procedures and Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology. We prioritised the clinical outcomes of stroke, cognitive decline or dementia, dependency, death, mobility and mood disorders, and interventions of blood pressure lowering, antiplatelet drugs, lipid lowering, lifestyle modifications, glucose lowering and conventional treatments for dementia. We systematically reviewed the literature, assessed the evidence, formulated evidence-based recommendations where feasible, and expert consensus statements. We found little direct evidence, mostly of low quality. We recommend patients with ccSVD and hypertension to have their blood pressure well controlled; lower blood pressure targets may reduce ccSVD progression. We do not recommend antiplatelet drugs such as aspirin in ccSVD. We found little evidence on lipid lowering in ccSVD. Smoking cessation is a health priority. We recommend regular exercise which may benefit cognition, and a healthy diet, good sleep habits, avoiding obesity and stress for general health reasons. In ccSVD, we found no evidence for glucose control in the absence of diabetes or for conventional Alzheimer dementia treatments. Randomised controlled trials with clinical endpoints are a priority for ccSVD.
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Affiliation(s)
- Joanna M Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Stephanie Debette
- Bordeaux Population Health Center, University of Bordeaux, INSERM, UM1219, Team VINTAGE
- Department of Neurology, Institute for Neurodegenerative Disease, Bordeaux University Hospital, Bordeaux, France
| | - Hanna Jokinen
- HUS Neurocenter, Division of Neuropsychology, Helsinki University Hospital, University of Helsinki and Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Frank-Erik De Leeuw
- Radboud University Medical Center, Department of Neurology; Donders Center for Medical Neuroscience, Nijmegen, The Netherlands
| | - Leonardo Pantoni
- Stroke and Dementia Lab, 'Luigi Sacco' Department of Biomedical and Clinical Sciences, University of Milan, Milano, Italy
| | - Hugues Chabriat
- Department of Neurology, Hopital Lariboisiere, APHP, INSERM U 1161, FHU NeuroVasc, University of Paris, Paris, France
| | - Julie Staals
- Department of Neurology, School for Cardiovascular Diseases (CARIM), Maastricht UMC+, AZ Maastricht, the Netherlands
| | - Fergus Doubal
- Centre for Clinical Brain Sciences, UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- Dept of Medicine for the Elderly, University of Edinburgh, Edinburgh, UK
| | - Salvatore Rudilosso
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic, Barcelona, Spain
| | - Sebastian Eppinger
- University Clinic of Neurology, Medical University of Graz, Graz, Austria
| | - Sabrina Schilling
- Bordeaux Population Health Center, University of Bordeaux, INSERM, UM1219, Team VINTAGE
| | - Raffaele Ornello
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, L’Aquila, Italy
| | - Christian Enzinger
- University Clinic of Neurology, Medical University of Graz, Graz, Austria
| | - Charlotte Cordonnier
- Univ. Lille, INSERM, CHU Lille, U1172, LilNCog – Lille Neuroscience & Cognition, Lille, France
| | - Martin Taylor-Rowan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Arne G Lindgren
- Department of Clinical Sciences Lund, Neurology, Lund University; Section of Neurology, Skåne University Hospital, Lund, Sweden
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