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Valdés Hernández MC, Duarte Coello R, Morozova A, McFadden J, Jardine C, Barclay G, McIntyre D, Chappell FM, Stringer M, Thrippleton MJ, Wardlaw JM. Avenues in the Analysis of Enlarged Perivascular Spaces Quantified from Brain Magnetic Resonance Images Acquired at 1.5T and 3T Magnetic Field Strengths. Neuroimaging Clin N Am 2025; 35:251-265. [PMID: 40210381 DOI: 10.1016/j.nic.2024.12.003] [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: 04/12/2025]
Abstract
MR imaging-visible perivascular spaces (PVS) have been associated with disease phenotypes, risk factors, sleep measures, and overall brain health. We review avenues in the analysis of PVS quantified from brain MR imaging across dissimilar acquisition protocols, imaging modalities, scanner manufacturers and magnetic field strengths. We conduct a pilot analysis to evaluate different avenues to harmonise PVS assessments from using different parameters using brain MR imaging from 100 adult volunteers, acquired at two different magnetic field strengths with different sequence parameters. The 2024 MICCAI Enlarged Perivascular Spaces Segmentation Challenge provides a representative MRI dataset on which to test other harmonization methods.
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Affiliation(s)
- Maria C Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK; UK Dementia Research Institute Centre, University of Edinburgh, Room FU427, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
| | - Roberto Duarte Coello
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK; UK Dementia Research Institute Centre, University of Edinburgh, Room FU427, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.
| | - Alexandra Morozova
- Third Faculty of Medicine, Charles University, Ruská 2411, 100 00 Praha 10-Vinohrady, Czechia
| | - John McFadden
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK; UK Dementia Research Institute Centre, University of Edinburgh, Room FU427, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
| | - Charlotte Jardine
- Edinburgh Imaging Facility, Royal Infirmary of Edinburgh, 51 Little France Crescent, Edinburgh, EH16 4SA, UK
| | - Gayle Barclay
- Edinburgh Imaging Facility, Royal Infirmary of Edinburgh, 51 Little France Crescent, Edinburgh, EH16 4SA, UK
| | - Donna McIntyre
- Edinburgh Imaging Facility, Royal Infirmary of Edinburgh, 51 Little France Crescent, Edinburgh, EH16 4SA, UK
| | - Francesca M Chappell
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK; Deanery of Clinical Sciences, University of Edinburgh, The Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
| | - Michael Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK; UK Dementia Research Institute Centre, University of Edinburgh, Room FU427, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK; UK Dementia Research Institute Centre, University of Edinburgh, Room FU427, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
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Schipper MR, van Harten TW, Razoux-Schultz AT, Kaushik K, Hirschler L, Voigt S, Rasing I, Koemans EA, van Dort R, van der Zwet RGJ, Schriemer SE, van Zwet EW, van der Grond J, van Buchem MA, Greenberg SM, Wermer MJH, van Osch MJP, van Walderveen MAA, van Rooden S. Cross-sectional and longitudinal quantification of total white matter perivascular space volume fraction in Dutch-type Cerebral Amyloid Angiopathy. Neuroimage Clin 2025; 46:103778. [PMID: 40209571 DOI: 10.1016/j.nicl.2025.103778] [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: 01/15/2025] [Revised: 03/07/2025] [Accepted: 04/01/2025] [Indexed: 04/12/2025]
Abstract
Enlarged perivascular spaces (PVS) in the centrum semiovale are an important marker of Cerebral Amyloid Angiopathy (CAA) and are thought to reflect brain clearance dysfunction. However, the current golden standard for assessing PVS is limited to a unilateral, single slice, qualitative analysis, which has the disadvantage of a strong ceiling effect. We aim to introduce a whole-brain PVS volume fraction (PVSvf) measurement to assess cross-sectional and longitudinal PVSvf differences between pre-symptomatic and symptomatic Dutch-type CAA (D-CAA) mutation carriers and similar-age controls. PVSvf was assessed with a Frangi-vesselness filter-based, segmentation tool developed in-house and was compared cross-sectionally in 70 participants (28 symptomatic D-CAA, 17 pre-symptomatic D-CAA, 10 controls > 50 years, 17 controls ≤ 50 years) and longitudinally in 40 participants (16 symptomatic D-CAA, 13 pre-symptomatic D-CAA, 11 controls combined from both age groups). We found a higher baseline PVSvf in symptomatic D-CAA compared to controls ≤ 50 years (p < 0.0001, 95% CI [-0.051, -0.025]) and controls > 50 years (p < 0.0001, 95% CI [-0.042, -0.016]), in pre-symptomatic D-CAA compared to controls ≤ 50 years (p = 0.023, 95% CI [-0.035, -0.002]), and in controls > 50 years compared to controls ≤ 50 years (p < 0.001, 95% CI [0.004, 0.014]). We found no group differences in PVSvf change over time. The introduction of this quantitative measure of PVS volume in D-CAA showed cross-sectional differences already in pre-symptomatic D-CAA, indicating increased PVSvf in the early stages of D-CAA. We did not observe longitudinal differences over a four-year follow-up when analyzed at group level.
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Affiliation(s)
- Manon R Schipper
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
| | - Thijs W van Harten
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Kanishk Kaushik
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lydiane Hirschler
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Sabine Voigt
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ingeborg Rasing
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Emma A Koemans
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Rosemarie van Dort
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Sanne E Schriemer
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Erik W van Zwet
- Department of Biostatistics, Leiden University Medical Center, Leiden, the Netherlands
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Steven M Greenberg
- Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands; Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
| | | | | | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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Zhang X, Pei X, Shi Y, Yang Y, Bai X, Chen T, Zhao Y, Yang Q, Ye J, Leng X, Yang Q, Bai R, Wang Y, Sui B. Unveiling connections between venous disruption and cerebral small vessel disease using diffusion tensor image analysis along perivascular space (DTI-ALPS): A 7-T MRI study. Int J Stroke 2025; 20:497-506. [PMID: 39402900 DOI: 10.1177/17474930241293966] [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: 11/07/2024]
Abstract
BACKGROUND Cerebral venous disruption is one of the characteristic findings in cerebral small vessel disease (CSVD), and its disruption may impede perivascular glymphatic drainage. And lower diffusivity along perivascular space (DTI-ALPS) index has been suggested to be with the presence and severity of CSVD. However, the relationships between venous disruption, DTI-ALPS index, and CSVD neuroimaging features remain unclear. AIMS To investigate the association between venous integrity and perivascular diffusion activity, and explore the mediating role of DTI-ALPS index between venous disruption and CSVD imaging features. METHODS In this cross-sectional study, 31 patients (mean age, 59.0 ± 9.9 years) were prospectively enrolled and underwent 7-T magnetic resonance (MR) imaging. DTI-ALPS index was measured to quantify the perivascular diffusivity. The visibility and continuity of deep medullary veins (DMVs) were evaluated based on a brain region-based visual score on high-resolution susceptibility-weighted imaging. White matter hyperintensity (WMH) and perivascular space (PVS) were assessed using qualitative and quantitative methods. Linear regression and mediation analysis were performed to analyze the relationships among DMV scores, DTI-ALPS index, and CSVD features. RESULTS The DTI-ALPS index was significantly associated with the parietal DMV score (β = -0.573, p corrected = 0.004). Parietal DMV score was associated with WMH volume (β = 0.463, p corrected = 0.013) and PVS volume in basal ganglia (β = 0.415, p corrected = 0.028). Mediation analyses showed that DTI-ALPS index manifested a full mediating effect on the association between parietal DMV score and WMH (indirect effect = 0.115, Pm = 43.1%), as well as between parietal DMV score and PVS volume in basal ganglia (indirect effect = 0.161, Pm = 42.8%). CONCLUSION Cerebral venous disruption is associated with glymphatic activity, and with WMH and PVS volumes. Our results suggest cerebral venous integrity may play a critical role in preserving perivascular glymphatic activity; while disruption of small veins may impair the perivascular diffusivity, thereby contributing to the development of WMH and PVS enlargement.
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Affiliation(s)
- Xue Zhang
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xun Pei
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yulu Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoyan Bai
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tong Chen
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuanbin Zhao
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qianqian Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinyi Ye
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xinyi Leng
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
| | - Ruiliang Bai
- Key Laboratory of Biomedical Engineering of Education Ministry, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
- Department of Physical Medicine and Rehabilitation, School of Medicine of the Affiliated Sir Run Shumen Shaw Hospital and Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, Hangzhou, China
- MOE Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Binbin Sui
- Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Alten B, Gokcal E, Warren A, van Veluw SJ, Kozberg M, Gurol ME, Viswanathan A, Greenberg SM. Cerebrospinal Fluid Beta-Amyloid Concentration and Clinical and Radiographic Manifestations of Cerebral Amyloid Angiopathy. J Am Heart Assoc 2025; 14:e040025. [PMID: 40028849 DOI: 10.1161/jaha.124.040025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Accepted: 01/27/2025] [Indexed: 03/05/2025]
Abstract
BACKGROUND Cerebral amyloid angiopathy (CAA) is driven by vascular Aβ (amyloid-beta) deposition, which can be detected as reduced Aβ species in cerebrospinal fluid (CSF). We sought to identify relationships between CSF Aβ and tau concentrations and various manifestations of CAA. METHODS This is a retrospective cross-sectional single-center study of patients diagnosed with CAA per Boston Criteria version 2.0, had magnetic resonance imaging brain scans, and underwent CSF testing for Aβ and tau concentrations between 2008 and 2022. Associations between clinical/magnetic resonance imaging features and CSF biomarker concentrations were investigated with univariate and multivariate models. RESULTS We identified 31 patients aged 69.6±8.4 years, of whom 20 presented with cognitive complaints, 9 with CAA-related macrohemorrhage (lobar intraparenchymal or convexity subarachnoid hemorrhage), and 2 with transient focal neurological episodes. Presence of macrohemorrhage (301.8±112 pg/mL versus 400.9±123 pg/mL, P=0.029), cortical superficial siderosis (309.6±131 mg/dL versus 412.3±100 pg/mL, P=0.021), and severe enlarged perivascular spaces in centrum semiovale (285.8±91 pg/mL versus 428.3±117 pg/mL, P<0.001) were associated with lower Aβ42 concentrations. Aβ42 concentrations inversely correlated with the number of these manifestations, being lowest in patients having all three. Patients with cognitive complaints had higher t-tau (total tau; 551±320 pg/mL versus 317.2±141 pg/mL, P=0.03) and trended toward having higher p-tau (phosphorylated tau at threonine 181) concentrations (75.69±39 pg/mL versus 49.24±22 pg/mL, P=0.05). CONCLUSIONS Lower CSF Aβ42, suggesting higher amyloid burden, is associated with CAA-related macrohemorrhages and severe enlarged perivascular spaces in centrum semiovale, suggesting potential mechanistic links and CSF Aβ42 as a potential biomarker for progression of CAA. CSF tau concentrations are linked to cognitive complaints, likely representing comorbid Alzheimer disease pathology.
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Affiliation(s)
- Baris Alten
- Mass General Brigham Neurology Residency Program Boston MA USA
- Department of Neurology Massachusetts General Hospital Boston MA USA
- Department of Neurology Brigham and Women's Hospital Boston MA USA
| | - Elif Gokcal
- Department of Neurology Massachusetts General Hospital Boston MA USA
| | - Andrew Warren
- Department of Neurology Massachusetts General Hospital Boston MA USA
| | | | - Mariel Kozberg
- Department of Neurology Massachusetts General Hospital Boston MA USA
| | - M Edip Gurol
- Department of Neurology Massachusetts General Hospital Boston MA USA
| | - Anand Viswanathan
- Department of Neurology Massachusetts General Hospital Boston MA USA
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Lin J, Liu J, Luo Q, Zhuang J, Xiao R, Wang H, Yang X, Wei X, Cai J. Association of lymphocyte-to-C-reactive protein ratio with cerebral small vessel disease: a cross-sectional study based on dose-response analysis. Front Neurol 2024; 15:1480115. [PMID: 39777309 PMCID: PMC11704889 DOI: 10.3389/fneur.2024.1480115] [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: 08/13/2024] [Accepted: 12/09/2024] [Indexed: 01/11/2025] Open
Abstract
Objective We investigated the relationship between lymphocyte-to-C-reactive protein ratio (LCR) and common imaging markers of cerebral small vessel disease (CSVD). Methods Data from 835 CSVD patients were analyzed using univariate and multivariate logistic regression to determine CSVD-associated factors. Multivariate models assessed the association between LCR and CSVD, including common imaging markers. Subgroup analysis by age, sex, smoking history, hypertension, lipid levels, and other factors was conducted. The receiver operating characteristic curve analysis and 10-fold cross-validation were performed to evaluate the predictive performance of LCR. Results Lymphocyte-to-C-reactive protein ratio was independently associated with a decreased risk of CSVD (p < 0.001), indicating a protective role of LCR against CSVD. Among the imaging markers of CSVD, LCR in the highest quartile was negatively associated with moderate-to-severe white matter hyperintensities (WMH) (p = 0.002) and moderate-to-severe enlarged perivascular spaces (EPVS) (p < 0.001), but not with lacune (p > 0.05). The restrictive cubic spline analysis revealed a linear dose-response relationship between log-transformed LCR and the incidence of CSVD (P non-linear = 0.090) as well as moderate-to-severe WMH (P non-linear = 0.304), with a non-linear association with moderate and severe EPVS (P non-linear = 0.001). In the subgroup analyses, LCR remained a significant association with CSVD in most subgroups (p < 0.05). Notably, a significant correlation was observed between LCR and CSVD (p < 0.001) in the subgroups of non-smokers, those with neutrophil count ≤6.3 × 109/L, and with high-density lipoprotein cholesterol ≥1 mmol/L. No interaction effect was identified between the variables and the LCR (p > 0.1). The predictive capability of LCR for CSVD was confirmed through receiver operating characteristic curve analysis. Conclusion Lymphocyte-to-C-reactive protein ratio is an independent protective factor for CSVD and is associated with lower WMH or EPVS burden but not lacune. Inflammation is involved in CSVD pathophysiology through multiple pathways, providing potential targets for CSVD intervention.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Jiangping Cai
- Department of Neurology, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China
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Waymont JMJ, Valdés Hernández MDC, Bernal J, Duarte Coello R, Brown R, Chappell FM, Ballerini L, Wardlaw JM. Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain. Neuroimage 2024; 297:120685. [PMID: 38914212 DOI: 10.1016/j.neuroimage.2024.120685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/20/2024] [Accepted: 06/10/2024] [Indexed: 06/26/2024] Open
Abstract
Research into magnetic resonance imaging (MRI)-visible perivascular spaces (PVS) has recently increased, as results from studies in different diseases and populations are cementing their association with sleep, disease phenotypes, and overall health indicators. With the establishment of worldwide consortia and the availability of large databases, computational methods that allow to automatically process all this wealth of information are becoming increasingly relevant. Several computational approaches have been proposed to assess PVS from MRI, and efforts have been made to summarise and appraise the most widely applied ones. We systematically reviewed and meta-analysed all publications available up to September 2023 describing the development, improvement, or application of computational PVS quantification methods from MRI. We analysed 67 approaches and 60 applications of their implementation, from 112 publications. The two most widely applied were the use of a morphological filter to enhance PVS-like structures, with Frangi being the choice preferred by most, and the use of a U-Net configuration with or without residual connections. Older adults or population studies comprising adults from 18 years old onwards were, overall, more frequent than studies using clinical samples. PVS were mainly assessed from T2-weighted MRI acquired in 1.5T and/or 3T scanners, although combinations using it with T1-weighted and FLAIR images were also abundant. Common associations researched included age, sex, hypertension, diabetes, white matter hyperintensities, sleep and cognition, with occupation-related, ethnicity, and genetic/hereditable traits being also explored. Despite promising improvements to overcome barriers such as noise and differentiation from other confounds, a need for joined efforts for a wider testing and increasing availability of the most promising methods is now paramount.
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Affiliation(s)
- Jennifer M J Waymont
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - Maria Del C Valdés Hernández
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK.
| | - José Bernal
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK; German Centre for Neurodegenerative Diseases (DZNE), Germany; Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Germany
| | - Roberto Duarte Coello
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - Rosalind Brown
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - Francesca M Chappell
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | | | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
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Javierre-Petit C, Kontzialis M, Leurgans SE, Bennett DA, Schneider JA, Arfanakis K. Quantitative assessment of enlarged perivascular spaces via deep-learning in community-based older adults reveals independent associations with vascular neuropathologies, vascular risk factors and cognition. Brain Commun 2024; 6:fcae252. [PMID: 39130513 PMCID: PMC11316207 DOI: 10.1093/braincomms/fcae252] [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: 01/17/2024] [Revised: 05/24/2024] [Accepted: 07/27/2024] [Indexed: 08/13/2024] Open
Abstract
Enlarged perivascular spaces (EPVS) are common in older adults, but their neuropathologic correlates are unclear mainly because most work to date has relied on visual rating scales and/or clinical cohorts. The present study first developed a deep-learning model for automatic segmentation, localization and quantification of EPVS in ex vivo brain MRI, and then used this model to investigate the neuropathologic, clinical and cognitive correlates of EPVS in 817 community-based older adults that underwent autopsy. The new method exhibited high sensitivity in detecting EPVS as small as 3 mm3, good segmentation accuracy and consistency. Most EPVS were located in the frontal lobe, but the highest density was observed in the basal ganglia. EPVS in the cerebrum and specifically in the frontal lobe were associated with infarcts independent of other neuropathologies, while temporal and occipital EPVS were associated with cerebral amyloid angiopathy. EPVS in most brain lobes were also associated with diabetes mellitus independently of neuropathologies, while basal ganglia EPVS were independently associated with hypertension, supporting the notion of independent pathways from diabetes and hypertension to EPVS. Finally, EPVS were associated with lower cognitive performance independently of neuropathologies and clinical variables, suggesting that EPVS represent additional abnormalities contributing to lower cognition.
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Affiliation(s)
- Carles Javierre-Petit
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - Marinos Kontzialis
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Sue E Leurgans
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL 60612, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL 60612, USA
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
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8
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Abdul Hamid H, Hambali A, Okon U, Che Mohd Nassir CMN, Mehat MZ, Norazit A, Mustapha M. Is cerebral small vessel disease a central nervous system interstitial fluidopathy? IBRO Neurosci Rep 2024; 16:98-105. [PMID: 39007087 PMCID: PMC11240297 DOI: 10.1016/j.ibneur.2023.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/20/2023] [Accepted: 12/22/2023] [Indexed: 07/16/2024] Open
Abstract
A typical anatomical congregate and functionally distinct multicellular cerebrovascular dynamic confer diverse blood-brain barrier (BBB) and microstructural permeabilities to conserve the health of brain parenchymal and its microenvironment. This equanimity presupposes the glymphatic system that governs the flow and clearance of metabolic waste and interstitial fluids (ISF) through venous circulation. Following the introduction of glymphatic system concept, various studies have been carried out on cerebrospinal fluid (CSF) and ISF dynamics. These studies reported that the onset of multiple diseases can be attributed to impairment in the glymphatic system, which is newly referred as central nervous system (CNS) interstitial fluidopathy. One such condition includes cerebral small vessel disease (CSVD) with poorly understood pathomechanisms. CSVD is an umbrella term to describe a chronic progressive disorder affecting the brain microvasculature (or microcirculation) involving small penetrating vessels that supply cerebral white and deep gray matter. This review article proposes CSVD as a form of "CNS interstitial fluidopathy". Linking CNS interstitial fluidopathy with CSVD will open a better insight pertaining to the perivascular space fluid dynamics in CSVD pathophysiology. This may lead to the development of treatment and therapeutic strategies to ameliorate the pathology and adverse effect of CSVD.
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Affiliation(s)
- Hafizah Abdul Hamid
- Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - Aqilah Hambali
- Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - Udemeobong Okon
- Department of Physiology, Faculty of Basic Medical Science, University of Calabar, Etagbor, PMB 1115 Calabar, Nigeria
| | - Che Mohd Nasril Che Mohd Nassir
- Department of Anatomy and Physiology, School of Basic Medical Sciences, Faculty of Medicine, Universiti Sultan Zainal Abidin (UniSZA), 20400 Kuala Terengganu, Terengganu, Malaysia
| | - Muhammad Zulfadli Mehat
- Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - Anwar Norazit
- Department of Biomedical Science, Faculty of Medicine, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Muzaimi Mustapha
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
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Zhou L, Nguyen TD, Chiang GC, Wang XH, Xi K, Hu T, Tanzi EB, Butler TA, de Leon MJ, Li Y. Parenchymal CSF fraction is a measure of brain glymphatic clearance and positively associated with amyloid beta deposition on PET. Alzheimers Dement 2024; 20:2047-2057. [PMID: 38184796 PMCID: PMC10984424 DOI: 10.1002/alz.13659] [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: 09/15/2023] [Revised: 11/29/2023] [Accepted: 11/30/2023] [Indexed: 01/08/2024]
Abstract
INTRODUCTION Mapping of microscopic changes in the perivascular space (PVS) of the cerebral cortex, beyond magnetic resonance-visible PVS in white matter, may enhance our ability to diagnose Alzheimer's disease (AD) early. METHODS We used the cerebrospinal fluid (CSF) water fraction (CSFF), a magnetic resonance imaging-based biomarker, to characterize brain parenchymal CSF water, reflecting microscopic PVS in parenchyma. We measured CSFF and amyloid beta (Aβ) using 11 C Pittsburgh compound B positron emission tomography to investigate their relationship at both the subject and voxel levels. RESULTS Our research has demonstrated a positive correlation between the parenchymal CSFF, a non-invasive imaging biomarker indicative of parenchymal glymphatic clearance, and Aβ deposition, observed at both individual and voxel-based assessments in the posterior cingulate cortex. DISCUSSION This study shows that an increased parenchymal CSFF is associated with Aβ deposition, suggesting that CSFF could serve as a biomarker for brain glymphatic clearance, which can be used to detect early fluid changes in PVS predisposing individuals to the development of AD. HIGHLIGHTS Cerebrospinal fluid fraction (CSFF) could be a biomarker of parenchymal perivascular space. CSFF is positively associated with amyloid beta (Aβ) deposition at subject level. CSFF in an Aβ+ region is higher than in an Aβ- region in the posterior cingulate cortex. Correspondence is found between Aβ deposition and glymphatic clearance deficits measured by CSFF.
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Affiliation(s)
- Liangdong Zhou
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Thanh D. Nguyen
- Department of RadiologyMRI Research Institute (MRIRI)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Gloria C. Chiang
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
- Department of RadiologyDivision of NeuroradiologyWeill Cornell MedicineNew York‐Presbyterian HospitalNew YorkNew YorkUSA
| | - Xiuyuan H. Wang
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Ke Xi
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Tsung‐Wei Hu
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Emily B. Tanzi
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Tracy A. Butler
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Mony J. de Leon
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Yi Li
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
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10
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Raposo N, Périole C, Planton M. In-vivo diagnosis of cerebral amyloid angiopathy: an updated review. Curr Opin Neurol 2024; 37:19-25. [PMID: 38038409 DOI: 10.1097/wco.0000000000001236] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
PURPOSE OF REVIEW Sporadic cerebral amyloid angiopathy (CAA) is a highly prevalent small vessel disease in ageing population with potential severe complications including lobar intracerebral hemorrhage (ICH), cognitive impairment, and dementia. Although diagnosis of CAA was made only with postmortem neuropathological examination a few decades ago, diagnosing CAA without pathological proof is now allowed in living patients. This review focuses on recently identified biomarkers of CAA and current diagnostic criteria. RECENT FINDINGS Over the past few years, clinicians and researchers have shown increased interest for CAA, and important advances have been made. Thanks to recent insights into mechanisms involved in CAA and advances in structural and functional neuroimaging, PET amyloid tracers, cerebrospinal fluid and plasma biomarkers analysis, a growing number of biomarkers of CAA have been identified. Imaging-based diagnostic criteria including emerging biomarkers have been recently developed or updated, enabling accurate and earlier diagnosis of CAA in living patients. SUMMARY Recent advances in neuroimaging allow diagnosing CAA in the absence of pathological examination. Current imaging-based criteria have high diagnostic performance in patients presenting with ICH, but is more limited in other clinical context such as cognitively impaired patients or asymptomatic individuals. Further research is still needed to improve diagnostic accuracy.
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Affiliation(s)
- Nicolas Raposo
- Department of neurology, Toulouse University Hospital
- Clinical Investigation Center, CIC1436, Toulouse University Hospital, F-CRIN/Strokelink Network, Toulouse
- Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France
| | - Charlotte Périole
- Department of neurology, Toulouse University Hospital
- Clinical Investigation Center, CIC1436, Toulouse University Hospital, F-CRIN/Strokelink Network, Toulouse
| | - Mélanie Planton
- Department of neurology, Toulouse University Hospital
- Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France
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11
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Banerjee G, Schott JM, Ryan NS. Familial cerebral amyloid disorders with prominent white matter involvement. HANDBOOK OF CLINICAL NEUROLOGY 2024; 204:289-315. [PMID: 39322385 DOI: 10.1016/b978-0-323-99209-1.00010-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2024]
Abstract
Familial cerebral amyloid disorders are characterized by the accumulation of fibrillar protein aggregates, which deposit in the parenchyma as plaques and in the vasculature as cerebral amyloid angiopathy (CAA). Amyloid β (Aβ) is the most common of these amyloid proteins, accumulating in familial and sporadic forms of Alzheimer's disease and CAA. However, there are also a number of rare, hereditary, non-Aβ cerebral amyloidosis. The clinical manifestations of these familial cerebral amyloid disorders are diverse, including cognitive or neuropsychiatric presentations, intracerebral hemorrhage, seizures, myoclonus, headache, ataxia, and spasticity. Some mutations are associated with extensive white matter hyperintensities on imaging, which may or may not be accompanied by hemorrhagic imaging markers of CAA; others are associated with occipital calcification. We describe the clinical, imaging, and pathologic features of these disorders and discuss putative disease mechanisms. Familial disorders of cerebral amyloid accumulation offer unique insights into the contributions of vascular and parenchymal amyloid to pathogenesis and the pathways underlying white matter involvement in neurodegeneration. With Aβ immunotherapies now entering the clinical realm, gaining a deeper understanding of these processes and the relationships between genotype and phenotype has never been more relevant.
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Affiliation(s)
- Gargi Banerjee
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, United Kingdom; UK Dementia Research Institute at UCL, London, United Kingdom
| | - Natalie S Ryan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, United Kingdom; UK Dementia Research Institute at UCL, London, United Kingdom.
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12
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Banerjee G, Collinge J, Fox NC, Lashley T, Mead S, Schott JM, Werring DJ, Ryan NS. Clinical considerations in early-onset cerebral amyloid angiopathy. Brain 2023; 146:3991-4014. [PMID: 37280119 PMCID: PMC10545523 DOI: 10.1093/brain/awad193] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 04/16/2023] [Accepted: 05/01/2023] [Indexed: 06/08/2023] Open
Abstract
Cerebral amyloid angiopathy (CAA) is an important cerebral small vessel disease associated with brain haemorrhage and cognitive change. The commonest form, sporadic amyloid-β CAA, usually affects people in mid- to later life. However, early-onset forms, though uncommon, are increasingly recognized and may result from genetic or iatrogenic causes that warrant specific and focused investigation and management. In this review, we firstly describe the causes of early-onset CAA, including monogenic causes of amyloid-β CAA (APP missense mutations and copy number variants; mutations of PSEN1 and PSEN2) and non-amyloid-β CAA (associated with ITM2B, CST3, GSN, PRNP and TTR mutations), and other unusual sporadic and acquired causes including the newly-recognized iatrogenic subtype. We then provide a structured approach for investigating early-onset CAA, and highlight important management considerations. Improving awareness of these unusual forms of CAA amongst healthcare professionals is essential for facilitating their prompt diagnosis, and an understanding of their underlying pathophysiology may have implications for more common, late-onset, forms of the disease.
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Affiliation(s)
- Gargi Banerjee
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, W1W 7FF, UK
| | - John Collinge
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, W1W 7FF, UK
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - Tammaryn Lashley
- The Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Disorders, UCL Queen Square Institute of Neurology, London, W1 1PJ, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Simon Mead
- MRC Prion Unit at University College London (UCL), Institute of Prion Diseases, UCL, London, W1W 7FF, UK
| | - Jonathan M Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Natalie S Ryan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
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13
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Haller S, Jäger HR, Vernooij MW, Barkhof F. Neuroimaging in Dementia: More than Typical Alzheimer Disease. Radiology 2023; 308:e230173. [PMID: 37724973 DOI: 10.1148/radiol.230173] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Alzheimer disease (AD) is the most common cause of dementia. The prevailing theory of the underlying pathology assumes amyloid accumulation followed by tau protein aggregation and neurodegeneration. However, the current antiamyloid and antitau treatments show only variable clinical efficacy. Three relevant points are important for the radiologic assessment of dementia. First, besides various dementing disorders (including AD, frontotemporal dementia, and dementia with Lewy bodies), clinical variants and imaging subtypes of AD include both typical and atypical AD. Second, atypical AD has overlapping radiologic and clinical findings with other disorders. Third, the diagnostic process should consider mixed pathologies in neurodegeneration, especially concurrent cerebrovascular disease, which is frequent in older age. Neuronal loss is often present at, or even before, the onset of cognitive decline. Thus, for effective emerging treatments, early diagnosis before the onset of clinical symptoms is essential to slow down or stop subsequent neuronal loss, requiring molecular imaging or plasma biomarkers. Neuroimaging, particularly MRI, provides multiple imaging parameters for neurodegenerative and cerebrovascular disease. With emerging treatments for AD, it is increasingly important to recognize AD variants and other disorders that mimic AD. Describing the individual composition of neurodegenerative and cerebrovascular disease markers while considering overlapping and mixed diseases is necessary to better understand AD and develop efficient individualized therapies.
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Affiliation(s)
- Sven Haller
- From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology (H.R.J., F.B.), and Centre for Medical Image Computing, Institute of Healthcare Engineering (F.B.), University College London, London, England; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, England (H.R.J.); Departments of Epidemiology and Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands (M.W.V.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
| | - Hans Rolf Jäger
- From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology (H.R.J., F.B.), and Centre for Medical Image Computing, Institute of Healthcare Engineering (F.B.), University College London, London, England; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, England (H.R.J.); Departments of Epidemiology and Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands (M.W.V.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
| | - Meike W Vernooij
- From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology (H.R.J., F.B.), and Centre for Medical Image Computing, Institute of Healthcare Engineering (F.B.), University College London, London, England; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, England (H.R.J.); Departments of Epidemiology and Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands (M.W.V.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
| | - Frederik Barkhof
- From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology (H.R.J., F.B.), and Centre for Medical Image Computing, Institute of Healthcare Engineering (F.B.), University College London, London, England; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, England (H.R.J.); Departments of Epidemiology and Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands (M.W.V.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
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14
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Koemans EA, Chhatwal JP, van Veluw SJ, van Etten ES, van Osch MJP, van Walderveen MAA, Sohrabi HR, Kozberg MG, Shirzadi Z, Terwindt GM, van Buchem MA, Smith EE, Werring DJ, Martins RN, Wermer MJH, Greenberg SM. Progression of cerebral amyloid angiopathy: a pathophysiological framework. Lancet Neurol 2023; 22:632-642. [PMID: 37236210 DOI: 10.1016/s1474-4422(23)00114-x] [Citation(s) in RCA: 74] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 02/21/2023] [Accepted: 03/14/2023] [Indexed: 05/28/2023]
Abstract
Cerebral amyloid angiopathy, which is defined by cerebrovascular deposition of amyloid β, is a common age-related small vessel pathology associated with intracerebral haemorrhage and cognitive impairment. Based on complementary lines of evidence from in vivo studies of individuals with hereditary, sporadic, and iatrogenic forms of cerebral amyloid angiopathy, histopathological analyses of affected brains, and experimental studies in transgenic mouse models, we present a framework and timeline for the progression of cerebral amyloid angiopathy from subclinical pathology to the clinical manifestation of the disease. Key stages that appear to evolve sequentially over two to three decades are (stage one) initial vascular amyloid deposition, (stage two) alteration of cerebrovascular physiology, (stage three) non-haemorrhagic brain injury, and (stage four) appearance of haemorrhagic brain lesions. This timeline of stages and the mechanistic processes that link them have substantial implications for identifying disease-modifying interventions for cerebral amyloid angiopathy and potentially for other cerebral small vessel diseases.
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Affiliation(s)
- Emma A Koemans
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Jasmeer P Chhatwal
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Susanne J van Veluw
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Ellis S van Etten
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Matthias J P van Osch
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Hamid R Sohrabi
- Centre for Healthy Ageing, Health Future Institute, Murdoch University, Perth, WA, Australia; Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Mariel G Kozberg
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Zahra Shirzadi
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Gisela M Terwindt
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Mark A van Buchem
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK; National Hospital for Neurology and Neurosurgery, London, UK
| | - Ralph N Martins
- Centre for Healthy Ageing, Health Future Institute, Murdoch University, Perth, WA, Australia; Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia; School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Marieke J H Wermer
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Steven M Greenberg
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
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15
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Nagaraja N, DeKosky S, Duara R, Kong L, Wang WE, Vaillancourt D, Albayram M. Imaging features of small vessel disease in cerebral amyloid angiopathy among patients with Alzheimer's disease. Neuroimage Clin 2023; 38:103437. [PMID: 37245492 PMCID: PMC10236212 DOI: 10.1016/j.nicl.2023.103437] [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: 09/06/2022] [Revised: 05/07/2023] [Accepted: 05/14/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND AND PURPOSE Cerebral small vessel disease biomarkers including white matter hyperintensities (WMH), lacunes, and enlarged perivascular spaces (ePVS) are under investigation to identify those specific to cerebral amyloid angiopathy (CAA). In subjects with Alzheimer's disease (AD), we assessed characteristic features and amounts of WMH, lacunes, and ePVS in four CAA categories (no, mild, moderate and severe CAA) and correlated these with Clinical Dementia Rating sum of boxes (CDRsb) score, ApoE genotype, and neuropathological changes at autopsy. METHODS The study included patients with a clinical diagnosis of dementia due to AD and neuropathological confirmation of AD and CAA in the National Alzheimer's Coordinating Center (NACC) database. The WMH, lacunes, and ePVS were evaluated using semi-quantitative scales. Statistical analyses compared the WMH, lacunes, and ePVS values in the four CAA groups with vascular risk factors and AD severity treated as covariates, and to correlate the imaging features with CDRsb score, ApoE genotype, and neuropathological findings. RESULTS The study consisted of 232 patients, of which 222 patients had FLAIR data available and 105 patients had T2-MRI. Occipital predominant WMH were significantly associated with the presence of CAA (p = 0.007). Among the CAA groups, occipital predominant WMH was associated with severe CAA (β = 1.22, p = 0.0001) compared with no CAA. Occipital predominant WMH were not associated with the CDRsb score performed at baseline (p = 0.68) or at follow-up 2-4 years after the MRI (p = 0.92). There was no significant difference in high grade ePVS in the basal ganglia (p = 0.63) and centrum semiovale (p = 0.95) among the four CAA groups. The WMH and ePVS on imaging did not correlate with the number of ApoE ε4 alleles but the WMH (periventricular and deep) correlated with the presence of infarcts, lacunes and microinfarcts on neuropathology. CONCLUSION Among patients with AD, occipital predominant WMH is more likely to be found in patients with severe CAA than in those without CAA. The high-grade ePVS in centrum semiovale were common in all AD patients regardless of CAA severity.
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Affiliation(s)
- Nandakumar Nagaraja
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA.
| | - Steven DeKosky
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA; McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Ranjan Duara
- Department of Neurology, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - Lan Kong
- Department of Public Health Sciences, Penn State University College of Medicine, Hershey, PA, USA
| | - Wei-En Wang
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - David Vaillancourt
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA; Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Mehmet Albayram
- Department of Radiology, College of Medicine, University of Florida, Gainesville, FL, USA
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16
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Grangeon L, Charbonnier C, Zarea A, Rousseau S, Rovelet-Lecrux A, Bendetowicz D, Lemaitre M, Malrain C, Quillard-Muraine M, Cassinari K, Maltete D, Pariente J, Moreaud O, Magnin E, Cretin B, Mackowiak MA, Sillaire AR, Vercelletto M, Dionet E, Felician O, Rod-Olivieri P, Thomas-Antérion C, Godeneche G, Sauvée M, Cartz-Piver L, Le Ber I, Chauvire V, Jonveaux T, Balageas AC, Laquerriere A, Duyckaerts C, Vital A, de Paula AM, Meyronet D, Guyant-Marechal L, Hannequin D, Tournier-Lasserve E, Campion D, Nicolas G, Wallon D. Phenotype and imaging features associated with APP duplications. Alzheimers Res Ther 2023; 15:93. [PMID: 37170141 PMCID: PMC10173644 DOI: 10.1186/s13195-023-01172-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 01/18/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND APP duplication is a rare genetic cause of Alzheimer disease and cerebral amyloid angiopathy (CAA). We aimed to evaluate the phenotypes of APP duplications carriers. METHODS Clinical, radiological, and neuropathological features of 43 APP duplication carriers from 24 French families were retrospectively analyzed, and MRI features and cerebrospinal fluid (CSF) biomarkers were compared to 40 APP-negative CAA controls. RESULTS Major neurocognitive disorders were found in 90.2% symptomatic APP duplication carriers, with prominent behavioral impairment in 9.7%. Symptomatic intracerebral hemorrhages were reported in 29.2% and seizures in 51.2%. CSF Aβ42 levels were abnormal in 18/19 patients and 14/19 patients fulfilled MRI radiological criteria for CAA, while only 5 displayed no hemorrhagic features. We found no correlation between CAA radiological signs and duplication size. Compared to CAA controls, APP duplication carriers showed less disseminated cortical superficial siderosis (0% vs 37.5%, p = 0.004 adjusted for the delay between symptoms onset and MRI). Deep microbleeds were found in two APP duplication carriers. In addition to neurofibrillary tangles and senile plaques, CAA was diffuse and severe with thickening of leptomeningeal vessels in all 9 autopsies. Lewy bodies were found in substantia nigra, locus coeruleus, and cortical structures of 2/9 patients, and one presented vascular amyloid deposits in basal ganglia. DISCUSSION Phenotypes associated with APP duplications were heterogeneous with different clinical presentations including dementia, hemorrhage, and seizure and different radiological presentations, even within families. No apparent correlation with duplication size was found. Amyloid burden was severe and widely extended to cerebral vessels as suggested by hemorrhagic features on MRI and neuropathological data, making APP duplication an interesting model of CAA.
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Affiliation(s)
- Lou Grangeon
- Department of Neurology and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France.
- Department of Neurology, Rouen University Hospital, Rouen Cedex, 76031, France.
| | - Camille Charbonnier
- Department of Genetics and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - Aline Zarea
- Department of Neurology and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - Stephane Rousseau
- Department of Genetics and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - Anne Rovelet-Lecrux
- Department of Genetics and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - David Bendetowicz
- Neurology Department, Sorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS and APHP, Hôpital de la Pitié-Salpétrière APHP, Paris, France
| | - Marion Lemaitre
- Geriatric department, Seclin-Carvin Hospital, Seclin, France
| | - Cécile Malrain
- Department of Neurology, Rennes Hospital, Rennes, France
| | | | - Kevin Cassinari
- Department of Genetics and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - David Maltete
- Department of Neurology and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - Jeremie Pariente
- Neurology Department, Toulouse University Hospital and Toulouse NeuroImaging Center (ToNIC) INSERM-Univeristy of Toulouse Paul Sabatier, Toulouse, France
| | - Olivier Moreaud
- Department of Neurology, Grenoble Hospital, Grenoble, France
| | - Eloi Magnin
- Department of Neurology, Besancon Hospital, Besancon, France
| | - Benjamin Cretin
- Department of Neurology, Hautepierre Hospital, Strasbourg, France
| | | | | | | | - Elsa Dionet
- Department of Neurology, Clermont-Ferrand Hospital, Clermont-Ferrand, France
| | - Olivier Felician
- APHM, Service de Neurologie et Neuropsychologie, CHU Timone, Marseille, France
- Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | | | | | - Gaelle Godeneche
- Department of Neurology, La Rochelle Hospital, La Rochelle, France
| | - Mathilde Sauvée
- Department of Neurology, Grenoble Hospital, Grenoble, France
| | - Leslie Cartz-Piver
- Centre Mémoire Ressources et Recherche (CMRR), Limoges University Hospital, Limoges, France
| | - Isabelle Le Ber
- Neurology Department, Sorbonne Université, Paris Brain Institute - ICM, Inserm, CNRS and APHP, Hôpital de la Pitié-Salpétrière APHP, Paris, France
| | - Valérie Chauvire
- Department of Neurology, Angers University Hospital, Angers, France
| | - Therèse Jonveaux
- Department of Neurology, Nancy University Hospital, Nancy, France
| | | | - Annie Laquerriere
- Department of Neuropathology, F 76000, Normandy Center for Genomic and Personalized Medicine, Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Rouen, France
| | - Charles Duyckaerts
- Sorbonne Unviersité, INSERM, CNRS U1127, ICM and Laboratoire de Neuropathologie R. Escourolle, Hospital Pitie-Salpêtrière, Paris, France
| | - Anne Vital
- Department of Pathology, University Hospital, Bordeaux, France
| | | | - David Meyronet
- Department of Pathology, Hopital Civil University Hospital, Lyon, France
| | - Lucie Guyant-Marechal
- Department of Genetics and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - Didier Hannequin
- Department of Neurology and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - Elisabeth Tournier-Lasserve
- AP-HP, Groupe Hospitalier Saint-Louis Lariboisière-Fernand-Widal, Service de Génétique Moléculaire Neurovasculaire, INSERM UMR 1141, NeuroDiderot, Université de Paris, Paris, France
| | - Dominique Campion
- Department of Genetics and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - Gaël Nicolas
- Department of Genetics and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
| | - David Wallon
- Department of Neurology and CNR-MAJ, Univ Rouen Normandie, U1245 and CHU Rouen, 76000, Rouen, France
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17
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Manini A, Pantoni L. Genetic Causes of Cerebral Small Vessel Diseases: A Practical Guide for Neurologists. Neurology 2023; 100:766-783. [PMID: 36535782 PMCID: PMC10115494 DOI: 10.1212/wnl.0000000000201720] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 11/09/2022] [Indexed: 12/23/2022] Open
Abstract
Cerebral small vessel disease (CSVD) includes various entities affecting the brain and, often, systemic small arteries, arterioles, venules, and capillaries. The underlying causes of CSVD are different, and some of them are genetic. Monogenic CSVDs are responsible for 1%-5% of all strokes and for several other disturbances. Despite many genes being involved, the phenotypes of monogenic CSVD partly overlap. Given that the genetic testing for different diseases can be challenging and time-consuming, the practicing neurologist should be adequately informed of the genetic background of CSVD and should be able to select patients to undergo genetic assessment and the genes to be analyzed. The purpose of this review was to summarize clinical, neurologic and non-neurologic, and neuroimaging features of monogenic CSVD and to provide a flowchart to be used in clinical practice to guide neurologists in this field. The proposed flowchart and the relative tables can be applied to 3 different settings, depending on the presentation: (1) ischemic stroke and/or transient ischemic attack, (2) cerebral hemorrhage, and (3) other neurologic, non-neurologic, and/or neuroimaging features of monogenic CSVD, in the absence of stroke syndromes because of infarction or hemorrhage.
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Affiliation(s)
- Arianna Manini
- From the Stroke and Dementia Lab (A.M., L.P.), Department of Biomedical and Clinical Sciences, University of Milan, Italy; Department of Neurology and Laboratory of Neuroscience (A.M.), IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Leonardo Pantoni
- From the Stroke and Dementia Lab (A.M., L.P.), Department of Biomedical and Clinical Sciences, University of Milan, Italy; Department of Neurology and Laboratory of Neuroscience (A.M.), IRCCS Istituto Auxologico Italiano, Milan, Italy.
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18
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Ramaswamy S, Khasiyev F, Gutierrez J. Brain Enlarged Perivascular Spaces as Imaging Biomarkers of Cerebrovascular Disease: A Clinical Narrative Review. J Am Heart Assoc 2022; 11:e026601. [PMID: 36533613 PMCID: PMC9798817 DOI: 10.1161/jaha.122.026601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Perivascular spaces or Virchow-Robin spaces form pathways along the subarachnoid spaces that facilitate the effective clearance of brain metabolic by-products through intracellular exchange and drainage of cerebrospinal fluid. Best seen on magnetic resonance imaging of the brain, enlarged perivascular spaces (EPVSs) are increasingly recognized as potential imaging biomarkers of neurological conditions. EPVSs are an established subtype of cerebral small-vessel disease; however, their associations with other cerebrovascular disorders are yet to be fully understood. In particular, there has been great interest in the association between the various parameters of EPVSs, such as number, size, and topography, and vascular neurological conditions. Studies have identified cross-sectional and longitudinal relationships between EPVS parameters and vascular events, such as ischemic stroke (both clinical and silent), intracerebral hemorrhage, vascular risk factors, such as age and hypertension, and neurodegenerative processes, such as vascular dementia and Alzheimer disease. However, these studies are limited by heterogeneity of data and the lack of consistent results across studied populations. Existing meta-analyses also fail to provide uniformity of results. We performed a qualitative narrative review with an aim to provide an overview of the associations between EPVSs and cerebrovascular diseases, which may help recognize gaps in our knowledge, inform the design of future studies, and advance the role of EPVSs as imaging biomarkers.
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Affiliation(s)
- Srinath Ramaswamy
- Department of NeurologySUNY Downstate Health Sciences UniversityBrooklynNY
| | - Farid Khasiyev
- Department of NeurologySt. Louis University School of MedicineSt. LouisMO
| | - Jose Gutierrez
- Department of NeurologyColumbia University Irving Medical CenterNew YorkNY
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19
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Shi X, Zhou N, Sun B, Wu Y, Hu Y, Ning Y. Perivascular Space Predicts Brain Hypometabolism of Individuals with Underlying Amyloid Pathology. J Alzheimers Dis 2022; 90:1329-1337. [DOI: 10.3233/jad-220426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Reduced signal on fluorodeoxyglucose-positron emission tomography (FDG-PET) is a valid proxy for neurodegeneration in Alzheimer’s disease (AD). Perivascular space (PVS) is believed to be associated with AD pathology and cognitive decline. Objective: This study aimed to investigate the associations of PVS with FDG-PET and cognitive performance based on the burden of amyloid pathology. Methods: We used magnetic resonance imaging (MRI) data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). MRI-visible PVS in basal ganglia (BG) and centrum semi-oval (CSO) were visually classified as: none/mild, moderate or frequent/severe. The association of PVS with brain FDG-PET was explored based on the burden of amyloid pathology, where a cerebrospinal fluid (CSF) t-tau/Aβ42 with the ratio≥0.27 was defined as high amyloid pathology. Moreover, the relationships between PVS and cognitive performance variables (ADNI-MEM and ADNI-EF) were studied. Results: For participants with higher tau/Aβ42 ratio, CSO-PVS severity was independently associated with lower FDG-PET. There were significant interaction effects between moderate or frequent/severe CSO-PVS and time on FDG decline in people with high amyloid pathology. The interaction between CSO-PVS and time (follow-up) was consistently associated with ADNI-MEM and ADNI-EF decline in individuals with high amyloid pathology. Conclusion: The study established the differential utility of PVS in BG and CSO for predicting brain metabolism. These findings suggest that CSO-PVS serves as a contributing factor to brain metabolism and cognitive decline associated with amyloid pathology.
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Affiliation(s)
- Xiaolei Shi
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Nan Zhou
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bin Sun
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yongshun Wu
- The Department of Radiology, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yachun Hu
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- Department of Neurology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
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20
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Xu JQ, Liu QQ, Huang SY, Duan CY, Lu HB, Cao Y, Hu JZ. The lymphatic system: a therapeutic target for central nervous system disorders. Neural Regen Res 2022; 18:1249-1256. [PMID: 36453401 PMCID: PMC9838139 DOI: 10.4103/1673-5374.355741] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
The lymphatic vasculature forms an organized network that covers the whole body and is involved in fluid homeostasis, metabolite clearance, and immune surveillance. The recent identification of functional lymphatic vessels in the meninges of the brain and the spinal cord has provided novel insights into neurophysiology. They emerge as major pathways for fluid exchange. The abundance of immune cells in lymphatic vessels and meninges also suggests that lymphatic vessels are actively involved in neuroimmunity. The lymphatic system, through its role in the clearance of neurotoxic proteins, autoimmune cell infiltration, and the transmission of pro-inflammatory signals, participates in the pathogenesis of a variety of neurological disorders, including neurodegenerative and neuroinflammatory diseases and traumatic injury. Vascular endothelial growth factor C is the master regulator of lymphangiogenesis, a process that is critical for the maintenance of central nervous system homeostasis. In this review, we summarize current knowledge and recent advances relating to the anatomical features and immunological functions of the lymphatic system of the central nervous system and highlight its potential as a therapeutic target for neurological disorders and central nervous system repair.
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Affiliation(s)
- Jia-Qi Xu
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, Hunan Province, China,Mobile Health Ministry of Education - China Mobile Joint Laboratory, Changsha, Hunan Province, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Qian-Qi Liu
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, Hunan Province, China,Mobile Health Ministry of Education - China Mobile Joint Laboratory, Changsha, Hunan Province, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Sheng-Yuan Huang
- Department of Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Chun-Yue Duan
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, Hunan Province, China,Mobile Health Ministry of Education - China Mobile Joint Laboratory, Changsha, Hunan Province, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Hong-Bin Lu
- Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, Hunan Province, China,Mobile Health Ministry of Education - China Mobile Joint Laboratory, Changsha, Hunan Province, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China,Department of Sports Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province, China,Correspondence to: Yong Cao, or ; Hong-Bin Lu, ; Jian-Zhong Hu, .
| | - Yong Cao
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, Hunan Province, China,Mobile Health Ministry of Education - China Mobile Joint Laboratory, Changsha, Hunan Province, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China,Correspondence to: Yong Cao, or ; Hong-Bin Lu, ; Jian-Zhong Hu, .
| | - Jian-Zhong Hu
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, Hunan Province, China,Mobile Health Ministry of Education - China Mobile Joint Laboratory, Changsha, Hunan Province, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China,Correspondence to: Yong Cao, or ; Hong-Bin Lu, ; Jian-Zhong Hu, .
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21
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van Harten T, Heijmans A, van Rooden S, Wermer MJ, van Osch MJ, Kuijf HJ, van Veluw SJ, Greenberg SM, van Buchem MA, van der Grond J, van Walderveen MA. Brain Deep Medullary Veins on 7T MRI in Dutch-Type Hereditary Cerebral Amyloid Angiopathy. J Alzheimers Dis 2022; 90:381-388. [DOI: 10.3233/jad-220354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Deep medullary vein (DMV) changes occur in cerebral small vessel diseases (SVD) and in Alzheimer’s disease. Cerebral amyloid angiopathy (CAA) is a common SVD that has a high co-morbidity with Alzheimer’s disease. So far, DMVs have not been evaluated in CAA. Objective: To evaluate DMVs in Dutch-type hereditary CAA (D-CAA) mutation carriers and controls, in relation to MRI markers associated with D-CAA. Methods: Quantitative DMV parameters length, tortuosity, inhomogeneity, and density were quantified on 7 Tesla 3D susceptibility weighted MRI in pre-symptomatic D-CAA mutation carriers (n = 8), symptomatic D-CAA mutation carriers (n = 8), and controls (n = 25). Hemorrhagic MRI markers (cerebral microbleeds, intracerebral hemorrhages, cortical superficial siderosis, convexity subarachnoid hemorrhage), non-hemorrhagic MRI markers (white matter hyperintensities, enlarged perivascular spaces, lacunar infarcts, cortical microinfarcts), cortical grey matter perfusion, and diffusion tensor imaging parameters were assessed in D-CAA mutation carriers. Univariate general linear analysis was used to determine associations between DMV parameters and MRI markers. Results: Quantitative DMV parameters length, tortuosity, inhomogeneity, and density did not differ between pre-symptomatic D-CAA mutation carriers, symptomatic D-CAA mutation carriers, and controls. No associations were found between DMV parameters and MRI markers associated with D-CAA. Conclusion: This study indicates that vascular amyloid-β deposition does not affect DMV parameters. In patients with CAA, DMVs do not seem to play a role in the pathogenesis of MRI markers associated with CAA.
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Affiliation(s)
- Thijs van Harten
- C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Anne Heijmans
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke J.H. Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Matthias J.P. van Osch
- C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Hugo J. Kuijf
- Image Science Institute, University Medical Center Utrecht, The Netherlands
| | - Susanne J. van Veluw
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, J.P.K. Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Steven M. Greenberg
- Department of Neurology, J.P.K. Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Mark A. van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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22
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Barnes A, Ballerini L, Valdés Hernández MDC, Chappell FM, Muñoz Maniega S, Meijboom R, Backhouse EV, Stringer MS, Duarte Coello R, Brown R, Bastin ME, Cox SR, Deary IJ, Wardlaw JM. Topological relationships between perivascular spaces and progression of white matter hyperintensities: A pilot study in a sample of the Lothian Birth Cohort 1936. Front Neurol 2022; 13:889884. [PMID: 36090857 PMCID: PMC9449650 DOI: 10.3389/fneur.2022.889884] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Enlarged perivascular spaces (PVS) and white matter hyperintensities (WMH) are features of cerebral small vessel disease which can be seen in brain magnetic resonance imaging (MRI). Given the associations and proposed mechanistic link between PVS and WMH, they are hypothesized to also have topological proximity. However, this and the influence of their spatial proximity on WMH progression are unknown. We analyzed longitudinal MRI data from 29 out of 32 participants (mean age at baseline = 71.9 years) in a longitudinal study of cognitive aging, from three waves of data collection at 3-year intervals, alongside semi-automatic segmentation masks for PVS and WMH, to assess relationships. The majority of deep WMH clusters were found adjacent to or enclosing PVS (waves-1: 77%; 2: 76%; 3: 69%), especially in frontal, parietal, and temporal regions. Of the WMH clusters in the deep white matter that increased between waves, most increased around PVS (waves-1-2: 73%; 2-3: 72%). Formal statistical comparisons of severity of each of these two SVD markers yielded no associations between deep WMH progression and PVS proximity. These findings may suggest some deep WMH clusters may form and grow around PVS, possibly reflecting the consequences of impaired interstitial fluid drainage via PVS. The utility of these relationships as predictors of WMH progression remains unclear.
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Affiliation(s)
- Abbie Barnes
- College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Lucia Ballerini
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Maria del C. Valdés Hernández
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Francesca M. Chappell
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Susana Muñoz Maniega
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Rozanna Meijboom
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Ellen V. Backhouse
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael S. Stringer
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Roberto Duarte Coello
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Rosalind Brown
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark E. Bastin
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Simon R. Cox
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Ian J. Deary
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Joanna M. Wardlaw
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
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23
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Goeldlin M, Stewart C, Radojewski P, Wiest R, Seiffge D, Werring DJ. Clinical neuroimaging in intracerebral haemorrhage related to cerebral small vessel disease: contemporary practice and emerging concepts. Expert Rev Neurother 2022; 22:579-594. [PMID: 35850578 DOI: 10.1080/14737175.2022.2104157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION About 80% of all non-traumatic intracerebral haemorrhage (ICH) are caused by the sporadic cerebral small vessel diseases deep perforator arteriopathy (DPA, also termed hypertensive arteriopathy or arteriolosclerosis) and cerebral amyloid angiopathy (CAA), though these frequently co-exist in older people. Contemporary neuroimaging (MRI and CT) detects an increasing spectrum of haemorrhagic and non-haemorrhagic imaging biomarkers of small vessel disease which may identify the underlying arteriopathies. AREAS COVERED We discuss biomarkers for cerebral small vessel disease subtypes in ICH, and explore their implications for clinical practice and research. EXPERT OPINION ICH is not a single disease, but results from a defined range of vascular pathologies with important implications for prognosis and treatment. The terms "primary" and "hypertensive" ICH are poorly defined and should be avoided, as they encourage incomplete investigation and classification. Imaging-based criteria for CAA will show improved diagnostic accuracy, but specific imaging biomarkers of DPA are needed. Ultra-high-field 7T-MRI using structural and quantitative MRI may provide further insights into mechanisms and pathophysiology of small vessel disease. We expect neuroimaging biomarkers and classifications to allow personalized treatments (e.g. antithrombotic drugs) in clinical practice and to improve patient selection and monitoring in trials of targeted therapies directed at the underlying arteriopathies.
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Affiliation(s)
- Martina Goeldlin
- Department of Neurology, Inselspital Bern University Hospital and University of Bern, Bern, Switzerland.,Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Catriona Stewart
- Stroke Research Group, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Piotr Radojewski
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital University Hospital Bern, Switzerland
| | - Roland Wiest
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital University Hospital Bern, Switzerland
| | - David Seiffge
- Department of Neurology, Inselspital Bern University Hospital and University of Bern, Bern, Switzerland
| | - David J Werring
- Stroke Research Group, UCL Queen Square Institute of Neurology, London, United Kingdom
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24
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van Dijk SE, van der Grond J, Lak J, van den Berg-Huysmans A, Labadie G, Terwindt GM, Wermer MJH, Gurol ME, van Buchem MA, Greenberg SM, van Rooden S. Longitudinal Progression of Magnetic Resonance Imaging Markers and Cognition in Dutch-Type Hereditary Cerebral Amyloid Angiopathy. Stroke 2022; 53:2006-2015. [PMID: 35360926 PMCID: PMC9126261 DOI: 10.1161/strokeaha.121.035826] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Hemorrhagic and ischemic magnetic resonance imaging lesions as well as the more recently described decrease in vasomotor reactivity have been suggested as possible biomarkers for cerebral amyloid angiopathy (CAA). Analyses of these markers have been primarily cross-sectional during the symptomatic phase of the disease, with little data on their longitudinal progression, particularly in the presymptomatic phase of the disease when it may be most responsive to treatment. We used the unique opportunity provided by studying Dutch-type hereditary cerebral amyloid angiopathy (D-CAA) to determine longitudinal progression of CAA biomarkers during the presymptomatic as well as the symptomatic phase of the disease.
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Affiliation(s)
- Suzanne E van Dijk
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. (S.E.v.D., J.v.d.G., J.L., A.v.d.B-H, G.L., M.A.v.B., S.v.R)
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. (S.E.v.D., J.v.d.G., J.L., A.v.d.B-H, G.L., M.A.v.B., S.v.R)
| | - Jessie Lak
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. (S.E.v.D., J.v.d.G., J.L., A.v.d.B-H, G.L., M.A.v.B., S.v.R)
| | - Annette van den Berg-Huysmans
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. (S.E.v.D., J.v.d.G., J.L., A.v.d.B-H, G.L., M.A.v.B., S.v.R)
| | - Gerda Labadie
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. (S.E.v.D., J.v.d.G., J.L., A.v.d.B-H, G.L., M.A.v.B., S.v.R)
| | - Gisela M Terwindt
- Department of Neurology,Leiden University Medical Center, Leiden, the Netherlands. (G.M.T., M.J.H.W.)
| | - Marieke J H Wermer
- Department of Neurology,Leiden University Medical Center, Leiden, the Netherlands. (G.M.T., M.J.H.W.)
| | - M Edip Gurol
- Department of Neurology, Massachusetts General Hospital, Boston (M.E.G., S.M.G.)
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. (S.E.v.D., J.v.d.G., J.L., A.v.d.B-H, G.L., M.A.v.B., S.v.R)
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Boston (M.E.G., S.M.G.)
| | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. (S.E.v.D., J.v.d.G., J.L., A.v.d.B-H, G.L., M.A.v.B., S.v.R)
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25
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Perosa V, Oltmer J, Munting LP, Freeze WM, Auger CA, Scherlek AA, van der Kouwe AJ, Iglesias JE, Atzeni A, Bacskai BJ, Viswanathan A, Frosch MP, Greenberg SM, van Veluw SJ. Perivascular space dilation is associated with vascular amyloid-β accumulation in the overlying cortex. Acta Neuropathol 2022; 143:331-348. [PMID: 34928427 PMCID: PMC9047512 DOI: 10.1007/s00401-021-02393-1] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 11/10/2021] [Accepted: 12/02/2021] [Indexed: 12/14/2022]
Abstract
Perivascular spaces (PVS) are compartments surrounding cerebral blood vessels that become visible on MRI when enlarged. Enlarged PVS (EPVS) are commonly seen in patients with cerebral small vessel disease (CSVD) and have been suggested to reflect dysfunctional perivascular clearance of soluble waste products from the brain. In this study, we investigated histopathological correlates of EPVS and how they relate to vascular amyloid-β (Aβ) in cerebral amyloid angiopathy (CAA), a form of CSVD that commonly co-exists with Alzheimer's disease (AD) pathology. We used ex vivo MRI, semi-automatic segmentation and validated deep-learning-based models to quantify EPVS and associated histopathological abnormalities. Severity of MRI-visible PVS during life was significantly associated with severity of MRI-visible PVS on ex vivo MRI in formalin fixed intact hemispheres and corresponded with PVS enlargement on histopathology in the same areas. EPVS were located mainly around the white matter portion of perforating cortical arterioles and their burden was associated with CAA severity in the overlying cortex. Furthermore, we observed markedly reduced smooth muscle cells and increased vascular Aβ accumulation, extending into the WM, in individually affected vessels with an EPVS. Overall, these findings are consistent with the notion that EPVS reflect impaired outward flow along arterioles and have implications for our understanding of perivascular clearance mechanisms, which play an important role in the pathophysiology of CAA and AD.
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Affiliation(s)
- Valentina Perosa
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, J. Philip Kistler Stroke Research Center, Cambridge Str. 175, Suite 300, Boston, MA, 02114, USA.
- Department of Neurology, Otto-Von-Guericke University, Magdeburg, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
| | - Jan Oltmer
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Leon P Munting
- Massachusetts General Hospital, MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA, USA
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Whitney M Freeze
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neuropsychology and Psychiatry, Maastricht University, Maastricht, The Netherlands
| | - Corinne A Auger
- Massachusetts General Hospital, MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA, USA
| | - Ashley A Scherlek
- Massachusetts General Hospital, MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA, USA
- Rush Alzheimer Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Andre J van der Kouwe
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Juan Eugenio Iglesias
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Centre for Medical Image Computing, University College London, London, UK
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alessia Atzeni
- Centre for Medical Image Computing, University College London, London, UK
| | - Brian J Bacskai
- Massachusetts General Hospital, MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA, USA
| | - Anand Viswanathan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, J. Philip Kistler Stroke Research Center, Cambridge Str. 175, Suite 300, Boston, MA, 02114, USA
| | - Matthew P Frosch
- Massachusetts General Hospital, MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA, USA
- Neuropathology Service, C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, J. Philip Kistler Stroke Research Center, Cambridge Str. 175, Suite 300, Boston, MA, 02114, USA
| | - Susanne J van Veluw
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, J. Philip Kistler Stroke Research Center, Cambridge Str. 175, Suite 300, Boston, MA, 02114, USA
- Massachusetts General Hospital, MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA, USA
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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26
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Kim HJ, Cho H, Park M, Kim JW, Ahn SJ, Lyoo CH, Suh SH, Ryu YH. MRI-Visible Perivascular Spaces in the Centrum Semiovale Are Associated with Brain Amyloid Deposition in Patients with Alzheimer Disease-Related Cognitive Impairment. AJNR Am J Neuroradiol 2021; 42:1231-1238. [PMID: 33985952 DOI: 10.3174/ajnr.a7155] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 01/21/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The association of perivascular spaces in the centrum semiovale with amyloid accumulation among patients with Alzheimer disease-related cognitive impairment is unknown. We evaluated this association in patients with Alzheimer disease-related cognitive impairment and β-amyloid deposition, assessed with [18F] florbetaben PET/CT. MATERIALS AND METHODS MR imaging and [18F] florbetaben PET/CT images of 144 patients with Alzheimer disease-related cognitive impairment were retrospectively evaluated. MR imaging-visible perivascular spaces were rated on a 4-point visual scale: a score of ≥3 or <3 indicated a high or low degree of MR imaging-visible perivascular spaces, respectively. Amyloid deposition was evaluated using the brain β-amyloid plaque load scoring system. RESULTS Compared with patients negative for β-amyloid, those positive for it were older and more likely to have lower cognitive function, a diagnosis of Alzheimer disease, white matter hyperintensity, the Apolipoprotein E ε4 allele, and a high degree of MR imaging-visible perivascular spaces in the centrum semiovale. Multivariable analysis, adjusted for age and Apolipoprotein E status, revealed that a high degree of MR imaging-visible perivascular spaces in the centrum semiovale was independently associated with β-amyloid positivity (odds ratio, 2.307; 95% CI, 1.036-5.136; P = .041). CONCLUSIONS A high degree of MR imaging-visible perivascular spaces in the centrum semiovale independently predicted β-amyloid positivity in patients with Alzheimer disease-related cognitive impairment. Thus, MR imaging-visible perivascular spaces in the centrum semiovale are associated with amyloid pathology of the brain and could be an indirect imaging marker of amyloid burden in patients with Alzheimer disease-related cognitive impairment.
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Affiliation(s)
- H J Kim
- From the Department of Nuclear Medicine (H.J.K., Y.H.R.)
- Department of Nuclear Medicine (H.J.K.), Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, South Korea
| | | | - M Park
- Radiology (M.P., J.W.K., S.J.A., S.H.S.), Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - J W Kim
- Radiology (M.P., J.W.K., S.J.A., S.H.S.), Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - S J Ahn
- Radiology (M.P., J.W.K., S.J.A., S.H.S.), Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | | | - S H Suh
- Radiology (M.P., J.W.K., S.J.A., S.H.S.), Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Y H Ryu
- From the Department of Nuclear Medicine (H.J.K., Y.H.R.)
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27
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Jäkel L, De Kort AM, Klijn CJM, Schreuder FHBM, Verbeek MM. Prevalence of cerebral amyloid angiopathy: A systematic review and meta-analysis. Alzheimers Dement 2021; 18:10-28. [PMID: 34057813 PMCID: PMC9290643 DOI: 10.1002/alz.12366] [Citation(s) in RCA: 141] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 04/05/2021] [Accepted: 04/12/2021] [Indexed: 01/05/2023]
Abstract
Reported prevalence estimates of sporadic cerebral amyloid angiopathy (CAA) vary widely. CAA is associated with cognitive dysfunction and intracerebral hemorrhage, and linked to immunotherapy‐related side‐effects in Alzheimer's disease (AD). Given ongoing efforts to develop AD immunotherapy, accurate estimates of CAA prevalence are important. CAA can be diagnosed neuropathologically or during life using MRI markers including strictly lobar microbleeds. In this meta‐analysis of 170 studies including over 73,000 subjects, we show that in patients with AD, CAA prevalence based on pathology (48%) is twice that based on presence of strictly lobar cerebral microbleeds (22%); in the general population this difference is three‐fold (23% vs 7%). Both methods yield similar estimated prevalences of CAA in cognitively normal elderly (5% to 7%), in patients with intracerebral hemorrhage (19% to 24%), and in patients with lobar intracerebral hemorrhage (50% to 57%). However, we observed large heterogeneity among neuropathology and MRI protocols, which calls for standardized assessment and reporting of CAA.
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Affiliation(s)
- Lieke Jäkel
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - Anna M De Kort
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands
| | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Cente, Nijmegen, The Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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28
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Tsai HH, Pasi M, Tsai LK, Huang CC, Chen YF, Lee BC, Yen RF, Gurol ME, Jeng JS. Centrum Semiovale Perivascular Space and Amyloid Deposition in Spontaneous Intracerebral Hemorrhage. Stroke 2021; 52:2356-2362. [PMID: 33874751 DOI: 10.1161/strokeaha.120.032139] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Hsin-Hsi Tsai
- Department of Neurology, National Taiwan University Hospital Bei-Hu Branch, Taipei (H.-H.T.).,Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei (H.-H.T.).,Department of Neurology (H.-H.T., L.-K.T., J.-S.J.), National Taiwan University Hospital, Taipei
| | - Marco Pasi
- University of Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, France (M.P.)
| | - Li-Kai Tsai
- Department of Neurology (H.-H.T., L.-K.T., J.-S.J.), National Taiwan University Hospital, Taipei
| | - Chi-Ching Huang
- School of Medicine, College of Medicine, National Taiwan University, Taipei (C.-C.H.)
| | - Ya-Fang Chen
- Department of Medical Imaging (Y.-F.C., B.-C.L.), National Taiwan University Hospital, Taipei
| | - Bo-Ching Lee
- Department of Medical Imaging (Y.-F.C., B.-C.L.), National Taiwan University Hospital, Taipei
| | - Ruoh-Fang Yen
- Department of Nuclear Medicine (R.-F.Y.), National Taiwan University Hospital, Taipei
| | - M Edip Gurol
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (M.E.G.)
| | - Jiann-Shing Jeng
- Department of Neurology (H.-H.T., L.-K.T., J.-S.J.), National Taiwan University Hospital, Taipei
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29
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Chwalisz BK. Cerebral amyloid angiopathy and related inflammatory disorders. J Neurol Sci 2021; 424:117425. [PMID: 33840507 DOI: 10.1016/j.jns.2021.117425] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/27/2020] [Accepted: 03/24/2021] [Indexed: 11/19/2022]
Abstract
Inflammatory cerebral amyloid angiopathy is a largely reversible inflammatory vasculopathy that develops in an acute or subacute fashion in reaction to amyloid protein deposition in the central nervous system blood vessels. There are two recognized pathologically characterized variants: cerebral amyloid angiopathy-related inflammation (CAAri) and A beta-related angiitis (ABRA). Both variants produce a clinical picture that resembles primary angiitis of the CNS but is distinguished by a characteristic radiologic appearance. Although originally defined as a clinicopathologic diagnosis, it can now often be diagnosed based on clinicoradiologic criteria, though confirmation with brain and meningeal biopsy is still required in some cases. This disorder typically responds to steroids but addition of other immune suppressants may be needed in some cases to control the disease.
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Affiliation(s)
- B K Chwalisz
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, 15 Parkman Street, Suite 835, Boston, MA 02114, USA; Division of Neuro-Ophthalmology, Department of Ophthalmology, Massachusetts Eye & Ear Infirmary/Harvard Medical School, Boston, MA, USA.
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30
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Taoka T, Naganawa S. Imaging for central nervous system (CNS) interstitial fluidopathy: disorders with impaired interstitial fluid dynamics. Jpn J Radiol 2021; 39:1-14. [PMID: 32653987 PMCID: PMC7813706 DOI: 10.1007/s11604-020-01017-0] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 07/02/2020] [Indexed: 02/07/2023]
Abstract
After the introduction of the glymphatic system hypothesis, an increasing number of studies on cerebrospinal fluid and interstitial fluid dynamics within the brain have been investigated and reported. A series of diseases are known which develop due to abnormality of the glymphatic system including Alzheimer's disease, traumatic brain injury, stroke, or other disorders. These diseases or disorders share the characteristics of the glymphatic system dysfunction or other mechanisms related to the interstitial fluid dynamics. In this review article, we propose "Central Nervous System (CNS) Interstitial Fluidopathy" as a new concept encompassing diseases whose pathologies are majorly associated with abnormal interstitial fluid dynamics. Categorizing these diseases or disorders as "CNS interstitial fluidopathies," will promote the understanding of their mechanisms and the development of potential imaging methods for the evaluation of the disease as well as clinical methods for disease treatment or prevention. In other words, having a viewpoint of the dynamics of interstitial fluid appears relevant for understanding CNS diseases or disorders, and it would be possible to develop novel common treatment methods or medications for "CNS interstitial fluidopathies."
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Affiliation(s)
- Toshiaki Taoka
- Department of Innovative Biomedical Visualization (iBMV), Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8550, Japan. .,Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
| | - Shinji Naganawa
- Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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31
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Bae JH, Kim JM, Park KY, Han SH. Association between arterial stiffness and the presence of cerebral small vessel disease markers. Brain Behav 2021; 11:e01935. [PMID: 33211410 PMCID: PMC7821631 DOI: 10.1002/brb3.1935] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 09/30/2020] [Accepted: 10/21/2020] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE We investigated the effect of arterial stiffness on the severity of enlarged perivascular spaces (EPVSs) and cerebral microbleeds (CMBs) at different brain locations. METHODS A total of 854 stroke patients underwent both brachial-ankle pulse wave velocity (baPWV) measurement and brain MRI. The extent of EPVS was separately rated at the levels of the basal ganglia (BG) and centrum semiovale (CS). The CMBs were categorized as strictly lobar CMB and deep CMB. The patients were categorized according to baPWV quartiles, and multivariable logistic regressions were performed to evaluate whether the baPWV increment was independently associated with each cerebral SVD marker at different locations. The odds ratio (OR) with 95% confidence interval (CI) was derived on the reference of the first quartile. RESULTS Severe EPVSs at BG and CS were detected in 243 (28.5%) and 353 patients (41.3%), respectively. The increment of baPWV quartiles was associated with both severe BG EPVS burden (Q4: OR = 2.58, CI = 1.45-4.60) and severe CS EPVS burden (Q4: OR = 2.06, CI = 1.24-3.42). Deep CMBs were found in 259 patients (30.3%), and strictly lobar CMBs were found in 170 patients (19.9%). Multivariable logistic regression model revealed deep CMB was independently associated with the baPWV increment (Q4: OR = 2.52, CI = 1.62-3.94). However, strictly lobar CMB had a neutral relationship with baPWV. CONCLUSION Increased arterial stiffness is consistently associated with the presence of deep CMB and severe EPVS burden at the BG and CS, suggesting a common pathophysiologic mechanism.
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Affiliation(s)
- Jae-Han Bae
- Department of Neurology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jeong-Min Kim
- Department of Neurology, Seoul National University Hospital, Seoul, Korea
| | - Kwang-Yeol Park
- Department of Neurology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Su-Hyun Han
- Department of Neurology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
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32
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Javierre-Petit C, Schneider JA, Kapasi A, Makkinejad N, Tamhane AA, Leurgans SE, Mehta RI, Barnes LL, Bennett DA, Arfanakis K. Neuropathologic and Cognitive Correlates of Enlarged Perivascular Spaces in a Community-Based Cohort of Older Adults. Stroke 2020; 51:2825-2833. [PMID: 32757750 PMCID: PMC7484322 DOI: 10.1161/strokeaha.120.029388] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND PURPOSE Enlarged perivascular spaces (EPVS) have been associated with aging, increased stroke risk, decreased cognitive function, and vascular dementia. However, the relationship of EPVS with age-related neuropathologies is not well understood. Therefore, the purpose of this study was to assess the neuropathologic correlates of EPVS in a large community-based cohort of older adults. The cognitive correlates of EPVS over and beyond those of other pathologies were also assessed. METHODS This study included 654 older deceased and autopsied participants of 3 longitudinal community-based studies of aging that had available data on cognition, ex vivo brain magnetic resonance imaging, and detailed neuropathologic examination. EPVS seen on ex vivo magnetic resonance imaging were histologically validated. Experienced observers rated EPVS burden in ex vivo magnetic resonance imaging using a semiquantitative 4-level scale. Elastic-net regularized ordinal logistic regression was used to investigate associations of EPVS burden with age-related neuropathologies. Mixed-effects models of cognition controlling for neuropathologies, demographics, and clinical factors, were used to determine whether EPVS burden has additional contributions to cognitive decline. RESULTS EPVS burden in the whole group was associated with gross infarcts (odds ratio=1.67, P=0.0017) and diabetes mellitus (odds ratio=1.73, P=0.004). When considering only nondemented participants (with mild or no cognitive impairment), EPVS burden was associated with gross infarcts (odds ratio=1.74, P=0.016) and microscopic infarcts (odds ratio=1.79, P=0.013). EPVS burden was associated with faster decline in visuospatial abilities (estimate=-0.009, P=0.028), in the whole group, as well as lower levels of semantic memory (estimate=-0.13, P=0.048) and visuospatial abilities (estimate=-0.11, P=0.016) at the time of death. CONCLUSIONS EPVS and infarcts may share similar neurobiological pathways regardless of dementia status. EPVS burden is linked to diabetes mellitus independently of neuropathologies, extending recent findings in animal studies implicating diabetes mellitus in impairment of the glymphatic system. Finally, EPVS burden may reflect additional brain tissue injury that may contribute to cognitive decline, not captured with traditional neuropathologic measures.
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Affiliation(s)
- Carles Javierre-Petit
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago (C.J.P., N.M., K.A.)
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Alifiya Kapasi
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Nazanin Makkinejad
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago (C.J.P., N.M., K.A.)
| | - Ashish A Tamhane
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Rupal I Mehta
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago (C.J.P., N.M., K.A.).,Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
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33
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Ghali MGZ, Marchenko V, Yaşargil MG, Ghali GZ. Structure and function of the perivascular fluid compartment and vertebral venous plexus: Illumining a novel theory on mechanisms underlying the pathogenesis of Alzheimer's, cerebral small vessel, and neurodegenerative diseases. Neurobiol Dis 2020; 144:105022. [PMID: 32687942 DOI: 10.1016/j.nbd.2020.105022] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 06/13/2020] [Accepted: 07/15/2020] [Indexed: 01/14/2023] Open
Abstract
Blood dynamically and richly supplies the cerebral tissue via microvessels invested in pia matter perforating the cerebral substance. Arteries penetrating the cerebral substance derive an investment from one or two successive layers of pia mater, luminally apposed to the pial-glial basal lamina of the microvasculature and abluminally apposed to a series of aquaporin IV-studded astrocytic end feet constituting the soi-disant glia limitans. The full investment of successive layers forms the variably continuous walls of the periarteriolar, pericapillary, and perivenular divisions of the perivascular fluid compartment. The pia matter disappears at the distal periarteriolar division of the perivascular fluid compartment. Plasma from arteriolar blood sequentially transudates into the periarteriolar division of the perivascular fluid compartment and subarachnoid cisterns in precession to trickling into the neural interstitium. Fluid from the neural interstitium successively propagates into the venules through the subarachnoid cisterns and perivenular division of the perivascular fluid compartment. Fluid fluent within the perivascular fluid compartment flows gegen the net direction of arteriovenular flow. Microvessel oscillations at the central tendency of the cerebral vasomotion generate corresponding oscillations of within the surrounding perivascular fluid compartment, interposed betwixt the abluminal surface of the vessels and internal surface of the pia mater. The precise microanatomy of this most fascinating among designable spaces has eluded the efforts of various investigators to interrogate its structure, though most authors non-consensusly concur the investing layers effectively and functionally segregate the perivascular and subarachnoid fluid compartments. Enlargement of the perivascular fluid compartment in a variety of neurological disorders, including senile dementia of the Alzheimer's type and cerebral small vessel disease, may alternately or coordinately constitute a correlative marker of disease severity and a possible cause implicated in the mechanistic pathogenesis of these conditions. Venular pressures modulating oscillatory dynamic flow within the perivascular fluid compartment may similarly contribute to the development of a variety among neurological disorders. An intimate understanding of subtle features typifying microanatomy and microphysiology of the investing structures and spaces of the cerebral microvasculature may powerfully inform mechanistic pathophysiology mediating a variety of neurovascular ischemic, neuroinfectious, neuroautoimmune, and neurodegenerative diseases.
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Affiliation(s)
- Michael George Zaki Ghali
- Department of Neurological Surgery, University of California San Francisco, 505 Parnassus Street, San Francisco, CA 94143, United States; Department of Neurobiology and Anatomy, 2900 W. Queen Lane, Philadelphia, PA 19129, United States.
| | - Vitaliy Marchenko
- Department of Neurobiology and Anatomy, 2900 W. Queen Lane, Philadelphia, PA 19129, United States; Department of Neurophysiology, Bogomoletz Institute, Kyiv, Ukraine; Department of Neuroscience, Московский государственный университет имени М. В., Ломоносова GSP-1, Leninskie Gory, Moscow 119991, Russian Federation
| | - M Gazi Yaşargil
- Department of Neurosurgery, University Hospital Zurich Rämistrasse 100, 8091 Zurich, Switzerland
| | - George Zaki Ghali
- United States Environmental Protection Agency, Arlington, Virginia, USA; Emeritus Professor of Toxicology, Purdue University, West Lafayette, Indiana, USA
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Du H, Chen C, Ye C, Lin F, Wei J, Xia P, Chen R, Wu S, Yuan Q, Chen H, Xiao Y, Liu N. Association Between Steno-Occlusive Middle Cerebral Artery and Basal Ganglia Perivascular Spaces. Front Neurol 2020; 11:293. [PMID: 32390930 PMCID: PMC7191059 DOI: 10.3389/fneur.2020.00293] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 03/27/2020] [Indexed: 11/13/2022] Open
Abstract
Objectives: Enlarged perivascular spaces in the basal ganglia (BG-EPVS) share common vascular risk factors with atherosclerosis. However, little is known about the relationship between steno-occlusive middle cerebral artery (MCA) and BG-EPVS. In this cross-sectional study, we aimed to test the hypothesis that severe MCA stenosis or occlusion is associated with increased MRI-visible BG-EPVS. Methods: We retrospectively reviewed 112 patients with a steno-occlusive MCA from Fujian Medical University Union Hospital between January 2014 and December 2018. We rated BG-EPVS, white matter hyperintensities (WMH), and lacunes as markers of cerebral small vessel disease (CSVD) on magnetic resonance image (MRI). The severity of steno-occlusive MCA was assessed by computed tomography angiography (CTA) and was classified into moderate (50-69%), severe (70-99%), and occlusion (100%). We evaluated the association of steno-occlusive MCA for >10 BG-EPVS using logistic regression model adjusted for age, gender, hypertension, MR-visible WMH, and lacunes. We also compared the number of BG-EPVS between the affected side and unaffected side in patients with only unilateral steno-occlusive MCA. Results: In multivariable logistic regression analysis, age (OR = 1.07, 95%CI: 1.03-1.13, p = 0.003), hypertension (OR = 2.77, 95%CI: 1.02-7.51, p = 0.046), severe MCA stenosis (OR = 3.65, 95%CI: 1.12-11.87, p = 0.032), or occlusion (OR = 3.67, 95%CI: 1.20-11.27, p = 0.023) were significantly associated with >10 BG-EPVS. The number of BG-EPVS in the affected side was higher than the unaffected side in patients with severe MCA stenosis (12 [9-14] vs. 8 [6-11], p = 0.001) or occlusion (11 [7-14] vs. 8 [5-11], p = 0.028). Conclusions: BG-EPVS were more prevalent in patients with severe MCA atherosclerosis. Our findings suggest a biological link between severe steno-occlusive MCA and increased BG-EPVS. These results need confirmation in prospective studies.
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Affiliation(s)
- Houwei Du
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
| | - Chao Chen
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China.,Department of Neurology, Fuzhou Second Hospital Affiliated to Xiamen University, Fuzhou, China
| | - Chengbin Ye
- Department of Radiology, The People's Hospital of Fujian Traditional Chinese Medicine University, Fuzhou, China
| | - Feifei Lin
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jin Wei
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.,School of Health Sciences, College of Health and Medicine, University of Tasmania, Newham, VIC, Australia
| | - Pincang Xia
- Department of STDs and HIV/AIDS Control and Prevention, Fujian Province Center for Disease Control and Prevention, Fuzhou, China
| | - Ronghua Chen
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
| | - Sangru Wu
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
| | - Qilin Yuan
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hongbin Chen
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yingchun Xiao
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China
| | - Nan Liu
- Department of Neurology, Stroke Research Center, Fujian Medical University Union Hospital, Fuzhou, China.,Department of Rehabilitation, Fujian Medical University Union Hospital, Fuzhou, China
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Zhu X, Xu F, Hoos MD, Lee H, Benveniste H, Van Nostrand WE. Reduced Levels of Cerebrospinal Fluid/Plasma Aβ40 as an Early Biomarker for Cerebral Amyloid Angiopathy in RTg-DI Rats. Int J Mol Sci 2020; 21:ijms21010303. [PMID: 31906317 PMCID: PMC6982234 DOI: 10.3390/ijms21010303] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 12/28/2019] [Accepted: 12/30/2019] [Indexed: 02/06/2023] Open
Abstract
The accumulation of fibrillar amyloid β-protein (Aβ) in blood vessels of the brain, the condition known as cerebral amyloid angiopathy (CAA), is a common small vessel disease that promotes cognitive impairment and is strongly associated with Alzheimer’s disease. Presently, the clinical diagnosis of this condition relies on neuroimaging markers largely associated with cerebral macro/microbleeds. However, these are markers of late-stage disease detected after extensive cerebral vascular amyloid accumulation has become chronic. Recently, we generated a novel transgenic rat model of CAA (rTg-DI) that recapitulates multiple aspects of human CAA disease with the progressive accumulation of cerebral vascular amyloid, largely composed of Aβ40, and the consistent emergence of subsequent microbleeds. Here, we investigated the levels of Aβ40 in the cerebrospinal fluid (CSF) and plasma of rTg-DI rats as CAA progressed from inception to late stage disease. The levels of Aβ40 in CSF and plasma precipitously dropped at the early onset of CAA accumulation at three months of age and continued to decrease with the progression of disease. Notably, the reduction in CSF/plasma Aβ40 levels preceded the emergence of cerebral microbleeds, which first occurred at about six months of age, as detected by in vivo magnetic resonance imaging and histological staining of brain tissue. These findings support the concept that reduced CSF/plasma levels of Aβ40 could serve as a biomarker for early stage CAA disease prior to the onset of cerebral microbleeds for future therapeutic intervention.
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Affiliation(s)
- Xiaoyue Zhu
- George & Anne Ryan Institute for Neuroscience, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI 02881, USA; (X.Z.); (F.X.); (M.D.H.)
| | - Feng Xu
- George & Anne Ryan Institute for Neuroscience, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI 02881, USA; (X.Z.); (F.X.); (M.D.H.)
| | - Michael D. Hoos
- George & Anne Ryan Institute for Neuroscience, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI 02881, USA; (X.Z.); (F.X.); (M.D.H.)
- Enzo Life Sciences, 10 Executive Blvd, Farmingdale, NY 11735, USA
| | - Hedok Lee
- Department of Anesthesiology, Yale University, New Haven, CT 06520, USA; (H.L.); (H.B.)
| | - Helene Benveniste
- Department of Anesthesiology, Yale University, New Haven, CT 06520, USA; (H.L.); (H.B.)
| | - William E. Van Nostrand
- George & Anne Ryan Institute for Neuroscience, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI 02881, USA; (X.Z.); (F.X.); (M.D.H.)
- Correspondence: ; Tel.: +1-401-874-2363
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36
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Raposo N, Planton M, Payoux P, Péran P, Albucher JF, Calviere L, Viguier A, Rousseau V, Hitzel A, Chollet F, Olivot JM, Bonneville F, Pariente J. Enlarged perivascular spaces and florbetapir uptake in patients with intracerebral hemorrhage. Eur J Nucl Med Mol Imaging 2019; 46:2339-2347. [PMID: 31359110 DOI: 10.1007/s00259-019-04441-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 07/16/2019] [Indexed: 12/14/2022]
Abstract
PURPOSE Enlarged perivascular spaces in the centrum semiovale (CSO-EPVS) have been linked to cerebral amyloid angiopathy (CAA). To get insight into the underlying mechanisms of this association, we investigated the relationship between amyloid-β deposition assessed by 18F-florbetapir PET and CSO-EPVS in patients with acute intracerebral hemorrhage (ICH). METHODS We prospectively enrolled 18 patients with lobar ICH (suggesting CAA) and 20 with deep ICH (suggesting hypertensive angiopathy), who underwent brain MRI and 18F-florbetapir PET. EPVS were assessed on MRI using a validated 4-point visual rating scale in the centrum semiovale and the basal ganglia (BG-EPVS). PET images were visually assessed, blind to clinical and MRI data. We evaluated the association between florbetapir PET positivity and high degree (score> 2) of CSO-EPVS and BG-EPVS. RESULTS High CSO-EPVS degree was more common in patients with lobar ICH than deep ICH (55.6% vs. 20.0%; p = 0.02). Eight (57.1%) patients with high CSO-EPVS degree had a positive florbetapir PET compared with 4 (16.7%) with low CSO-EPVS degree (p = 0.01). In contrast, prevalence of florbetapir PET positivity was similar between patients with high vs. low BG-EPVS. In multivariable analysis adjusted for age, hypertension, and MRI markers of CAA, florbetapir PET positivity (odds ratio (OR) 6.44, 95% confidence interval (CI) 1.32-38.93; p = 0.03) was independently associated with high CSO-EPVS degree. CONCLUSIONS Among patients with spontaneous ICH, high degree of CSO-EPVS but not BG-EPVS is associated with amyloid PET positivity. The findings provide further evidence that CSO-EPVS are markers of vascular amyloid burden that may be useful in diagnosing CAA.
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Affiliation(s)
- Nicolas Raposo
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France. .,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
| | - Mélanie Planton
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Pierre Payoux
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.,Department of Nuclear Medicine, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Patrice Péran
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Jean François Albucher
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Lionel Calviere
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Alain Viguier
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Vanessa Rousseau
- Department of Epidemiology, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Anne Hitzel
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.,Department of Nuclear Medicine, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - François Chollet
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Jean Marc Olivot
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Fabrice Bonneville
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.,Department of Neuroradiology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Jérémie Pariente
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Place Baylac, 31059, Toulouse Cedex 9, France.,Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
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