1
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Wang MB, Rahmani F, Benzinger TLS, Raji CA. Edge Density Imaging Identifies White Matter Biomarkers of Late-Life Obesity and Cognition. Aging Dis 2024; 15:1899-1912. [PMID: 37196133 PMCID: PMC11272213 DOI: 10.14336/ad.2022.1210] [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: 08/13/2022] [Accepted: 12/10/2022] [Indexed: 05/19/2023] Open
Abstract
Alzheimer disease (AD) and obesity are related to disruptions in the white matter (WM) connectome. We examined the link between the WM connectome and obesity and AD through edge-density imaging/index (EDI), a tractography-based method that characterizes the anatomical embedding of tractography connections. A total of 60 participants, 30 known to convert from normal cognition or mild-cognitive impairment to AD within a minimum of 24 months of follow up, were selected from the Alzheimer disease Neuroimaging Initiative (ADNI). Diffusion-weighted MR images from the baseline scans were used to extract fractional anisotropy (FA) and EDI maps that were subsequently averaged using deterministic WM tractography based on the Desikan-Killiany atlas. Multiple linear and logistic regression analysis were used to identify the weighted sum of tract-specific FA or EDI indices that maximized correlation to body-mass-index (BMI) or conversion to AD. Participants from the Open Access Series of Imaging Studies (OASIS) were used as an independent validation for the BMI findings. The edge-density rich, periventricular, commissural and projection fibers were among the most important WM tracts linking BMI to FA as well as to EDI. WM fibers that contributed significantly to the regression model related to BMI overlapped with those that predicted conversion; specifically in the frontopontine, corticostriatal, and optic radiation pathways. These results were replicated by testing the tract-specific coefficients found using ADNI in the OASIS-4 dataset. WM mapping with EDI enables identification of an abnormal connectome implicated in both obesity and conversion to AD.
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Affiliation(s)
- Maxwell Bond Wang
- Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA.
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
- Medical Scientist Training Program, University of Pittsburgh/Carnegie Mellon University, Pittsburgh, PA, USA.
| | - Farzaneh Rahmani
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA.
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University, St. Louis, Missouri, USA.
| | - Tammie L. S Benzinger
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA.
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University, St. Louis, Missouri, USA.
| | - Cyrus A Raji
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA.
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University, St. Louis, Missouri, USA.
- Department of Neurology, Washington University in Saint Louis, St. Louis, Missouri, USA
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2
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Dobrynina LA, Makarova AG, Shabalina AA, Burmak AG, Shlapakova PS, Shamtieva KV, Tsypushtanova MM, Kremneva EI, Zabitova MR, Filatov AS, Gnedovskaya EV. The Role of Changes in the Expression of Inflammation-Associated Genes in the Variants of Cerebral Small Vessel Disease. Int J Mol Sci 2024; 25:8113. [PMID: 39125683 PMCID: PMC11311284 DOI: 10.3390/ijms25158113] [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: 06/05/2024] [Revised: 07/22/2024] [Accepted: 07/22/2024] [Indexed: 08/12/2024] Open
Abstract
Age-dependent cerebral small vessel disease (CSVD) is a common disease with a high social burden characterized by heterogeneity of forms and frequent comorbidity with Alzheimer's disease (AD). Previously, we identified two MRI types of CSVD with specific clinical presentation and, probably, different mechanisms. The present study included 34 patients with CSVD and white matter hyperintensity (WMH) of stage Fazekas (F) 3 (mean age 61.7 ± 8.9) and 11 volunteers (mean age 57.3 ± 9.7). Total RNA was isolated from peripheral blood leukocytes. The expression of 58 protein-coding genes associated with CSVD and/or AD and 4 reference genes were assessed as part of the original panel for the NanoString nCounter analyzer. Testing results were validated by real-time PCR. There was a significant decrease in the expression levels of the ACOX1, CD33, CD2AP, TNFR1, and VEGFC genes in MRI type 2 relative to the control group as well as a decrease in the expression level of the CD33 gene in MRI type 2 compared to MRI type 1. Processes associated with inflammatory pathways with decreased expression of the identified genes are important in the development of MRI type 2 of CSVD. Given the direct connection of the established genes with AD, the importance of this form of CSVD in comorbidity with AD has been assumed.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Maryam R. Zabitova
- Research Center of Neurology, 80 Volokolamskoe Shosse, 125367 Moscow, Russia; (L.A.D.); (A.G.M.); (A.A.S.); (A.G.B.); (P.S.S.); (K.V.S.); (M.M.T.); (E.I.K.); (A.S.F.); (E.V.G.)
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3
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Drenthen GS, Elschot EP, van der Knaap N, Uher D, Voorter PHM, Backes WH, Jansen JFA, van der Thiel MM. Imaging Interstitial Fluid With MRI: A Narrative Review on the Associations of Altered Interstitial Fluid With Vascular and Neurodegenerative Abnormalities. J Magn Reson Imaging 2024; 60:40-53. [PMID: 37823526 DOI: 10.1002/jmri.29056] [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: 07/14/2023] [Revised: 09/27/2023] [Accepted: 09/27/2023] [Indexed: 10/13/2023] Open
Abstract
Interstitial fluid (ISF) refers to the fluid between the parenchymal cells and along the perivascular spaces (PVS). ISF plays a crucial role in delivering nutrients and clearing waste products from the brain. This narrative review focuses on the use of MRI techniques to measure various ISF characteristics in humans. The complementary value of contrast-enhanced and noncontrast-enhanced techniques is highlighted. While contrast-enhanced MRI methods allow measurement of ISF transport and flow, they lack quantitative assessment of ISF properties. Noninvasive MRI techniques, including multi-b-value diffusion imaging, free-water-imaging, T2-decay imaging, and DTI along the PVS, offer promising alternatives to derive ISF measures, such as ISF volume and diffusivity. The emerging role of these MRI techniques in investigating ISF alterations in neurodegenerative diseases (eg, Alzheimer's disease and Parkinson's disease) and cerebrovascular diseases (eg, cerebral small vessel disease and stroke) is discussed. This review also emphasizes current challenges of ISF imaging, such as the microscopic scale at which ISF has to be measured, and discusses potential focus points for future research to overcome these challenges, for example, the use of high-resolution imaging techniques. Noninvasive MRI methods for measuring ISF characteristics hold significant potential and may have a high clinical impact in understanding the pathophysiology of neurodegenerative and cerebrovascular disorders, as well as in evaluating the efficacy of ISF-targeted therapies in clinical trials. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Gerhard S Drenthen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Elles P Elschot
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Noa van der Knaap
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Daniel Uher
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Paulien H M Voorter
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Merel M van der Thiel
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
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4
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Mena Romo L, Mengual JJ, Avellaneda-Gómez C, García-Sánchez SM, Font MÀ, Montull C, Castrillo L, Lleixa M, Bargalló N, Laredo C, Amaro S, Armario P, Gómez-Choco M. Association between blood-brain barrier permeability and changes in pulse wave velocity following a recent small subcortical infarct. Hypertens Res 2024:10.1038/s41440-024-01764-x. [PMID: 38942814 DOI: 10.1038/s41440-024-01764-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/27/2024] [Accepted: 06/04/2024] [Indexed: 06/30/2024]
Abstract
Cerebral small vessel disease (cSVD) is associated with increased blood-brain barrier (BBB) permeability. We sought to evaluate whether arterial stiffness might be associated with BBB permeability in patients with cSVD. We assessed BBB permeability using Dynamic Contrast-Enhanced MRI (DCE-MRI) in 29 patients that had suffered a recent small subcortical infarct (RSSI). BBB permeability in the whole brain (WB), gray matter (GM) and white matter (WM) was assessed with the parameter Ktrans. We used ambulatory blood pressure monitoring to measure 24-h systolic blood pressure (24-h SBP), diastolic blood pressure (24-h DBP), and pulse wave velocity (24-h PWV) both after stroke and following a 2-year follow-up. The differences between both measurements were calculated as Δ24-h SBP, Δ24-h DBP and Δ24-h PWV. DCE-MRI was acquired at a median (IQR) of 24 (19-27) months after stroke. Median age was 66.7 (9.7) years, and 24 (83%) patients were men. Median (IQR) Δ24-h PWV was 0.3 (-0.1, 0.5) m/s. WB-Ktrans, GM-Ktrans, and WM-Ktrans were associated with Δ24-h PWV (Spearman's, r [95% CI], WB 0.651 [0.363-0.839]; GM 0.657 [0.373-0.845], WM 0.530[0.197-0.777]) but not with Δ24-h SBP or Δ24-h DBP. These associations remained significant after adjustment with linear regression models, controlling for age, sex, body mass index, and Δ24-h SBP (b[95% CI], WB 0.725[0.384-1.127], GM 0.629 [0.316-1.369], WM 0.865 [0.455-0.892]) or Δ24-h DBP (b[95% CI], WM 0.707 [0.370-1.103], GM 0.643 [0.352-1.371], WM 0.772 [0.367-0.834]). Our results suggest that an increment on arterial stiffness in the months following a RSSI might increase BBB permeability.
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Affiliation(s)
- Luis Mena Romo
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Juan José Mengual
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Carla Avellaneda-Gómez
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Sonia María García-Sánchez
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
- Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain
| | | | - Caterina Montull
- Radiology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Laura Castrillo
- Radiology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Mercè Lleixa
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Nuria Bargalló
- Radiology Department CDIC, Neuroradiology section, Hospital Clínic de Barcelona., Barcelona, Spain
| | - Carlos Laredo
- Magnetic Resonance Imaging Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Sergio Amaro
- Comprehensive Stroke Center, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Neurociéncies Clíniques i Experimentals, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Pedro Armario
- Internal Medicine Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Manuel Gómez-Choco
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain.
- Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.
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5
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Jia R, Solé-Guardia G, Kiliaan AJ. Blood-brain barrier pathology in cerebral small vessel disease. Neural Regen Res 2024; 19:1233-1240. [PMID: 37905869 DOI: 10.4103/1673-5374.385864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 08/22/2023] [Indexed: 11/02/2023] Open
Abstract
ABSTRACT Cerebral small vessel disease is a neurological disease that affects the brain microvasculature and which is commonly observed among the elderly. Although at first it was considered innocuous, small vessel disease is nowadays regarded as one of the major vascular causes of dementia. Radiological signs of small vessel disease include small subcortical infarcts, white matter magnetic resonance imaging hyperintensities, lacunes, enlarged perivascular spaces, cerebral microbleeds, and brain atrophy; however, great heterogeneity in clinical symptoms is observed in small vessel disease patients. The pathophysiology of these lesions has been linked to multiple processes, such as hypoperfusion, defective cerebrovascular reactivity, and blood-brain barrier dysfunction. Notably, studies on small vessel disease suggest that blood-brain barrier dysfunction is among the earliest mechanisms in small vessel disease and might contribute to the development of the hallmarks of small vessel disease. Therefore, the purpose of this review is to provide a new foundation in the study of small vessel disease pathology. First, we discuss the main structural domains and functions of the blood-brain barrier. Secondly, we review the most recent evidence on blood-brain barrier dysfunction linked to small vessel disease. Finally, we conclude with a discussion on future perspectives and propose potential treatment targets and interventions.
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Affiliation(s)
- Ruxue Jia
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition & Behavior, Center for Medical Neuroscience, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, Nijmegen, the Netherlands
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6
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Reiter JT, Schulte F, Bauer T, David B, Endler C, Isaak A, Schuch F, Bitzer F, Witt JA, Hattingen E, Deichmann R, Attenberger U, Becker AJ, Helmstaedter C, Radbruch A, Surges R, Friedman A, Rüber T. Evidence for interictal blood-brain barrier dysfunction in people with epilepsy. Epilepsia 2024; 65:1462-1474. [PMID: 38436479 DOI: 10.1111/epi.17929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 02/11/2024] [Accepted: 02/12/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Interictal blood-brain barrier dysfunction in chronic epilepsy has been demonstrated in animal models and pathological specimens. Ictal blood-brain barrier dysfunction has been shown in humans in vivo using an experimental quantitative magnetic resonance imaging (MRI) protocol. Here, we hypothesized that interictal blood-brain barrier dysfunction is also present in people with drug-resistant epilepsy. METHODS Thirty-nine people (21 females, mean age at MRI ± SD = 30 ± 8 years) with drug-resistant epilepsy were prospectively recruited and underwent interictal T1-relaxometry before and after administration of a paramagnetic contrast agent. Likewise, quantitative T1 was acquired in 29 people without epilepsy (12 females, age at MRI = 48 ± 18 years). Quantitative T1 difference maps were calculated and served as a surrogate imaging marker for blood-brain barrier dysfunction. Values of quantitative T1 difference maps inside hemispheres ipsilateral to the presumed seizure onset zone were then compared, on a voxelwise level and within presumed seizure onset zones, to the contralateral side of people with epilepsy and to people without epilepsy. RESULTS Compared to the contralateral side, ipsilateral T1 difference values were significantly higher in white matter (corrected p < .05), gray matter (uncorrected p < .05), and presumed seizure onset zones (p = .04) in people with epilepsy. Compared to people without epilepsy, significantly higher T1 difference values were found in the anatomical vicinity of presumed seizure onset zones (p = .004). A subgroup of people with hippocampal sclerosis demonstrated significantly higher T1 difference values in the ipsilateral hippocampus and in regions strongly interconnected with the hippocampus compared to people without epilepsy (corrected p < .01). Finally, z-scores reflecting the deviation of T1 difference values within the presumed seizure onset zone were associated with verbal memory performance (p = .02) in people with temporal lobe epilepsy. SIGNIFICANCE Our results indicate a blood-brain barrier dysfunction in drug-resistant epilepsy that is detectable interictally in vivo, anatomically related to the presumed seizure onset zone, and associated with cognitive deficits.
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Affiliation(s)
- Johannes T Reiter
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - Freya Schulte
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - Tobias Bauer
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - Bastian David
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Christoph Endler
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Fabiane Schuch
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Felix Bitzer
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | | | - Elke Hattingen
- Institute of Neuroradiology, University Hospital and Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Ralf Deichmann
- Brain Imaging Center, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Albert J Becker
- Department of Neuropathology, University Hospital Bonn, Bonn, Germany
| | | | | | - Rainer Surges
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Alon Friedman
- Department of Medical Neuroscience, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
- Departments of Cognitive and Brain Sciences, Physiology, and Cell Biology, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Theodor Rüber
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
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7
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Pacholko A, Iadecola C. Hypertension, Neurodegeneration, and Cognitive Decline. Hypertension 2024; 81:991-1007. [PMID: 38426329 PMCID: PMC11023809 DOI: 10.1161/hypertensionaha.123.21356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Elevated blood pressure is a well-established risk factor for age-related cognitive decline. Long linked to cognitive impairment on vascular bases, increasing evidence suggests a potential association of hypertension with the neurodegenerative pathology underlying Alzheimer disease. Hypertension is well known to disrupt the structural and functional integrity of the cerebral vasculature. However, the mechanisms by which these alterations lead to brain damage, enhance Alzheimer pathology, and promote cognitive impairment remain to be established. Furthermore, critical questions concerning whether lowering blood pressure by antihypertensive medications prevents cognitive impairment have not been answered. Recent developments in neurovascular biology, brain imaging, and epidemiology, as well as new clinical trials, have provided insights into these critical issues. In particular, clinical and basic findings on the link between neurovascular dysfunction and the pathobiology of neurodegeneration have shed new light on the overlap between vascular and Alzheimer pathology. In this review, we will examine the progress made in the relationship between hypertension and cognitive impairment and, after a critical evaluation of the evidence, attempt to identify remaining knowledge gaps and future research directions that may advance our understanding of one of the leading health challenges of our time.
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Affiliation(s)
- Anthony Pacholko
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY
| | - Costantino Iadecola
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY
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8
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Clancy U, Kancheva AK, Valdés Hernández MDC, Jochems ACC, Muñoz Maniega S, Quinn TJ, Wardlaw JM. Imaging Biomarkers of VCI: A Focused Update. Stroke 2024; 55:791-800. [PMID: 38445496 DOI: 10.1161/strokeaha.123.044171] [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: 03/07/2024]
Abstract
Vascular cognitive impairment is common after stroke, in memory clinics, medicine for the elderly services, and undiagnosed in the community. Vascular disease is said to be the second most common cause of dementia after Alzheimer disease, yet vascular dysfunction is now known to predate cognitive decline in Alzheimer disease, and most dementias at older ages are mixed. Neuroimaging has a major role in identifying the proportion of vascular versus other likely pathologies in patients with cognitive impairment. Here, we aim to provide a pragmatic but evidence-based summary of the current state of potential imaging biomarkers, focusing on magnetic resonance imaging and computed tomography, which are relevant to diagnosing, estimating prognosis, monitoring vascular cognitive impairment, and incorporating our own experiences. We focus on markers that are well-established, with a known profile of association with cognitive measures, but also consider more recently described, including quantitative tissue markers of vascular injury. We highlight the gaps in accessibility and translation to more routine clinical practice.
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Affiliation(s)
- Una Clancy
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, The University of Edinburgh, United Kingdom (U.C., M.d.C.V.H. A.C.C.J., S.M.M., J.M.W.)
| | - Angelina K Kancheva
- School of Cardiovascular and Metabolic Health, University of Glasgow, United Kingdom (A.K.K., T.J.Q.)
| | - Maria Del C Valdés Hernández
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, The University of Edinburgh, United Kingdom (U.C., M.d.C.V.H. A.C.C.J., S.M.M., J.M.W.)
| | - Angela C C Jochems
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, The University of Edinburgh, United Kingdom (U.C., M.d.C.V.H. A.C.C.J., S.M.M., J.M.W.)
| | - Susana Muñoz Maniega
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, The University of Edinburgh, United Kingdom (U.C., M.d.C.V.H. A.C.C.J., S.M.M., J.M.W.)
| | - Terence J Quinn
- School of Cardiovascular and Metabolic Health, University of Glasgow, United Kingdom (A.K.K., T.J.Q.)
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, The University of Edinburgh, United Kingdom (U.C., M.d.C.V.H. A.C.C.J., S.M.M., J.M.W.)
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9
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Ip BYM, Ko H, Lam BYK, Au LWC, Lau AYL, Huang J, Kwok AJ, Leng X, Cai Y, Leung TWH, Mok VCT. Current and Future Treatments of Vascular Cognitive Impairment. Stroke 2024; 55:822-839. [PMID: 38527144 DOI: 10.1161/strokeaha.123.044174] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Affiliation(s)
- Bonaventure Yiu Ming Ip
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
- Kwok Tak Seng Centre for Stroke Research and Intervention, Hong Kong SAR, China (B.Y.M.I., X.L., T.W.H.L.)
| | - Ho Ko
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Bonnie Yin Ka Lam
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Lisa Wing Chi Au
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Alexander Yuk Lun Lau
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
| | - Junzhe Huang
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Andrew John Kwok
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Xinyi Leng
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Kwok Tak Seng Centre for Stroke Research and Intervention, Hong Kong SAR, China (B.Y.M.I., X.L., T.W.H.L.)
| | - Yuan Cai
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
| | - Thomas Wai Hong Leung
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Kwok Tak Seng Centre for Stroke Research and Intervention, Hong Kong SAR, China (B.Y.M.I., X.L., T.W.H.L.)
| | - Vincent Chung Tong Mok
- Division of Neurology, Department of Medicine and Therapeutics (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Li Ka Shing Institute of Health Sciences (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., X.L., C.Y., T.W.H.L., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Lau Tat-Chuen Research Centre of Brain Degenerative Diseases in Chinese (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., A.Y.L.L., J.H., A.J.K., C.Y., V.C.T.M.), Faculty of Medicine, The Chinese University of Hong Kong
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong (B.Y.M.I., H.K., B.Y.K.L., L.W.C.A., J.H., A.J.K., C.Y., V.C.T.M.)
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10
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Voorter PHM, van Dinther M, Jansen WJ, Postma AA, Staals J, Jansen JFA, van Oostenbrugge RJ, van der Thiel MM, Backes WH. Blood-Brain Barrier Disruption and Perivascular Spaces in Small Vessel Disease and Neurodegenerative Diseases: A Review on MRI Methods and Insights. J Magn Reson Imaging 2024; 59:397-411. [PMID: 37658640 DOI: 10.1002/jmri.28989] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/17/2023] [Accepted: 08/17/2023] [Indexed: 09/03/2023] Open
Abstract
Perivascular spaces (PVS) and blood-brain barrier (BBB) disruption are two key features of cerebral small vessel disease (cSVD) and neurodegenerative diseases that have been linked to cognitive impairment and are involved in the cerebral waste clearance system. Magnetic resonance imaging (MRI) offers the possibility to study these pathophysiological processes noninvasively in vivo. This educational review provides an overview of the MRI techniques used to assess PVS functionality and BBB disruption. MRI-visible PVS can be scored on structural images by either (subjectively) counting or (automatically) delineating the PVS. We highlight emerging (diffusion) techniques to measure proxies of perivascular fluid and its movement, which may provide a more comprehensive understanding of the role of PVS in diseases. For the measurement of BBB disruption, we explain the most commonly used MRI technique, dynamic contrast-enhanced (DCE) MRI, as well as a more recently developed technique based on arterial spin labeling (ASL). DCE MRI and ASL are thought to measure complementary characteristics of the BBB. Furthermore, we describe clinical studies that have utilized these MRI techniques in cSVD and neurodegenerative diseases, particularly Alzheimer's disease (AD). These studies demonstrate the role of PVS and BBB dysfunction in these diseases and provide insight into the large overlap, but also into the differences between cSVD and AD. Overall, MRI techniques may provide valuable insights into the pathophysiological mechanisms underlying these diseases and have the potential to be used as markers for disease progression and treatment response. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Paulien H M Voorter
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Maud van Dinther
- School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Willemijn J Jansen
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Julie Staals
- School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Robert J van Oostenbrugge
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Merel M van der Thiel
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
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11
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Zakharov VV, Chernousov PA, Vekhova KA, Bogolepova AN. [Cognitive impairment in patients with arterial hypertension]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:41-48. [PMID: 38696150 DOI: 10.17116/jnevro202412404241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Arterial hypertension (AH) is a leading risk factor for cardiovascular diseases including cerebrovascular complications. Strokes and/or vascular cognitive impairment (VCI) are considered as a clinical sign of brain damage as a target organ in hypertension. To identify and assess the severity of VCI, patients with hypertension should undergo a neuropsychological assessment. Neuroimaging confirm the vascular origin of cognitive impairment. Patient management should include antihypertensive therapy along with neuroprotection. Among different neuroprotective therapy, ethylmethylhydroxypyridine succinate (mexidol) is one of medication with serious evidence of clinical efficacy.
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Affiliation(s)
- V V Zakharov
- Sechenov First Moscow Medical University (Sechenov University), Moscow, Russia
| | - P A Chernousov
- Sechenov First Moscow Medical University (Sechenov University), Moscow, Russia
| | - K A Vekhova
- Sechenov First Moscow Medical University (Sechenov University), Moscow, Russia
| | - A N Bogolepova
- Pirogov Russian National Research Medical University, Moscow, Russia
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
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12
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Scheuermann BC, Parr SK, Schulze KM, Kunkel ON, Turpin VG, Liang J, Ade CJ. Associations of Cerebrovascular Regulation and Arterial Stiffness With Cerebral Small Vessel Disease: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2023; 12:e032616. [PMID: 37930079 PMCID: PMC10727345 DOI: 10.1161/jaha.123.032616] [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: 09/12/2023] [Accepted: 10/24/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Cerebral small vessel disease (cSVD) is a major contributing factor to ischemic stroke and dementia. However, the vascular pathologies of cSVD remain inconclusive. The aim of this systematic review and meta-analysis was to characterize the associations between cSVD and cerebrovascular reactivity (CVR), cerebral autoregulation, and arterial stiffness (AS). METHODS AND RESULTS MEDLINE, Web of Science, and Embase were searched from inception to September 2023 for studies reporting CVR, cerebral autoregulation, or AS in relation to radiological markers of cSVD. Data were extracted in predefined tables, reviewed, and meta-analyses performed using inverse-variance random effects models to determine pooled odds ratios (ORs). A total of 1611 studies were identified; 142 were included in the systematic review, of which 60 had data available for meta-analyses. Systematic review revealed that CVR, cerebral autoregulation, and AS were consistently associated with cSVD (80.4%, 78.6%, and 85.4% of studies, respectively). Meta-analysis in 7 studies (536 participants, 32.9% women) revealed a borderline association between impaired CVR and cSVD (OR, 2.26 [95% CI, 0.99-5.14]; P=0.05). In 37 studies (27 952 participants, 53.0% women) increased AS, per SD, was associated with cSVD (OR, 1.24 [95% CI, 1.15-1.33]; P<0.01). Meta-regression adjusted for comorbidities accounted for one-third of the AS model variance (R2=29.4%, Pmoderators=0.02). Subgroup analysis of AS studies demonstrated an association with white matter hyperintensities (OR, 1.42 [95% CI, 1.18-1.70]; P<0.01). CONCLUSIONS The collective findings of the present systematic review and meta-analyses suggest an association between cSVD and impaired CVR and elevated AS. However, longitudinal investigations into vascular stiffness and regulatory function as possible risk factors for cSVD remain warranted.
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Affiliation(s)
| | - Shannon K. Parr
- Department of KinesiologyKansas State UniversityManhattanKSUSA
| | | | | | | | - Jia Liang
- Department of Biostatistics, St. Jude Children’s Research HospitalMemphisTNUSA
| | - Carl J. Ade
- Department of KinesiologyKansas State UniversityManhattanKSUSA
- Department of Physician’s Assistant Studies, Kansas State UniversityManhattanKSUSA
- Johnson Cancer Research CenterKansas State UniversityManhattanKSUSA
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13
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Xie P, Kancherla K, Chandramohan S, Braidy N, Chan EKW, Xu YH, Chan DKY. Involvement of single nucleotide polymorphisms of junction adhesion molecule with small vessel vascular dementia. Aging Med (Milton) 2023; 6:347-352. [PMID: 38239713 PMCID: PMC10792332 DOI: 10.1002/agm2.12278] [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: 09/06/2023] [Revised: 11/20/2023] [Accepted: 11/29/2023] [Indexed: 01/22/2024] Open
Abstract
Objectives It is now recognized that blood brain barrier (BBB) leakage occurs in cerebral small vascular disease (CSVD) and plays a significant role in the pathophysiology of vascular dementia. We hypothesized that genetic polymorphisms of junctional adhesion molecule-A (JAM-A) (which may result in compromised structure of tight junction proteins that form the BBB) in combination with cerebrovascular risk factors hypertension, lipid disorders, and type 2 diabetes may result in BBB leakage and increase the individual's risk of CSVD-related dementia. Methods In this case-control study, 97 controls with a mean Mini-Mental State Exam (MMSE) score of 29 and 38 CSVD-related vascular dementia participants (mean MMSE score of 19) were recruited. Bloods were collected for the analysis of two common single nucleotide polymorphisms (SNPs) of the JAM-A genotypes rs790056 and rs2481084 using real-time polymerase chain reaction (PCR) assay. Medical history of hypertension, hyperlipidemia, and diabetes was collected for all participants. Results Polymorphisms of genotype JAM-A SNP rs790056 showed statistically significant result when the subgroup with hyperlipidemia was analyzed (OR = 3.130, p = 0.042 for TC + CC genotypes with hyperlipidaemia vs controls). Similar result was found with diabetes (OR = 4.670, p = 0.031 for TC + CC genotypes vs controls). No significant result was found with hypertension. Borderline results of statistical significance were found for JAM-A SNP rs2481084 with hyperlipidemia (OR = 3.210, p = 0.054 for TC + CC genotypes vs controls) and with diabetes (OR = 3.620, p = 0.069 for TC + CC genotypes vs controls) but not for hypertension. The borderline results might have been due to lack of statistical power because of small sample size. Conclusions These results lend further support that cerebrovascular risk factors interact with genetic polymorphisms of BBB proteins to increase the risk of vascular dementia.
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Affiliation(s)
- Peter Xie
- Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Kiran Kancherla
- Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - Nady Braidy
- Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Ingham InstituteLiverpoolNew South WalesAustralia
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - Ying Hua Xu
- Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Ingham InstituteLiverpoolNew South WalesAustralia
- Department of Aged Care and RehabilitationBankstown HospitalBankstownNew South WalesAustralia
| | - Daniel K. Y. Chan
- Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Ingham InstituteLiverpoolNew South WalesAustralia
- Department of Aged Care and RehabilitationBankstown HospitalBankstownNew South WalesAustralia
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14
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Ma Y, Chen S, Li Y, Wang J, Yang J, Jing J, Liu X, Li Y, Wang J, Zhang P, Tang Z. Effects of Dl-3-n-butylphthalide on cognitive functions and blood-brain barrier in chronic cerebral hypoperfusion rats. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2023; 396:3207-3220. [PMID: 37243759 PMCID: PMC10567816 DOI: 10.1007/s00210-023-02530-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 05/14/2023] [Indexed: 05/29/2023]
Abstract
Vascular cognitive impairment (VCI) has been one of the major types of cognitive impairment. Blood-brain barrier damage plays an essential part in the pathogenesis of VCI. At present, the treatment of VCI is mainly focused on prevention, with no drug clinically approved for the treatment of VCI. This study aimed to investigate the effects of DL-3-n-butylphthalide (NBP) on VCI rats. A modified bilateral common carotid artery occlusion (mBCCAO) model was applied to mimic VCI. The feasibility of the mBCCAO model was verified by laser Doppler, 13N-Ammonia-Positron Emission Computed Tomography (PET), and Morris Water Maze. Subsequently, the Morris water maze experiment, Evans blue staining, and western blot of tight junction protein were performed to evaluate the effect of different doses of NBP (40 mg/kg, 80 mg/kg) on the improvement of cognitive impairment and BBB disruption induced by mBCCAO. Immunofluorescence was employed to examine the changes in pericyte coverage in the mBCCAO model and the effect of NBP on pericyte coverage was preliminarily explored. mBCCAO surgery led to obvious cognitive impairment and the decrease of whole cerebral blood flow, among which the blood flow in the cortex, hippocampus and thalamus brain regions decreased more significantly. High-dose NBP (80 mg/kg) improved long-term cognitive function in mBCCAO rats, alleviated Evans blue leakage and reduced the loss of tight junction proteins (ZO-1, Claudin-5) in the early course of the disease, thereby exerting a protective effect on the blood-brain barrier. No significant changes in pericyte coverage were observed after mBCCAO. High-dose NBP improved cognitive function in mBCCAO rats. High-dose NBP protected the integrity of BBB by upregulating TJ protein expression, rather than regulating pericyte coverage ratio. NBP could be a potential drug for the treatment of VCI.
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Affiliation(s)
- Yang Ma
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Neurology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, China
| | - Shiling Chen
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanwei Li
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiahui Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingfei Yang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Jing
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xia Liu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yunjie Li
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingyi Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Zhouping Tang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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15
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Huang P, Chen K, Liu C, Zhen Z, Zhang R. Visualizing Cerebral Small Vessel Degeneration During Aging and Diseases Using Magnetic Resonance Imaging. J Magn Reson Imaging 2023; 58:1323-1337. [PMID: 37052571 DOI: 10.1002/jmri.28736] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 03/28/2023] [Accepted: 03/30/2023] [Indexed: 04/14/2023] Open
Abstract
Cerebral small vessel disease is a major contributor to brain disorders in older adults. It is associated with a much higher risk of stroke and dementia. Due to a lack of clinical and fluid biomarkers, diagnosing and grading small vessel disease are highly dependent on magnetic resonance imaging. In the past, researchers mostly used brain parenchymal imaging markers to represent small vessel damage, but the relationships between these surrogate markers and small vessel pathologies are complex. Recent progress in high-resolution magnetic resonance imaging methods, including time-of-flight MR angiography, phase-contrast MR angiography, black blood vessel wall imaging, susceptibility-weighted imaging, and contrast-enhanced methods, allow for direct visualization of cerebral small vessel structures. They could be powerful tools for understanding aging-related small vessel degeneration and improving disease diagnosis and treatment. This article will review progress in these imaging techniques and their application in aging and disease studies. Some challenges and future directions are also discussed. EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: 3.
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Affiliation(s)
- Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kang Chen
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chen Liu
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhiming Zhen
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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16
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Freeze WM, van Veluw SJ, Jansen WJ, Bennett DA, Jacobs HIL. Locus coeruleus pathology is associated with cerebral microangiopathy at autopsy. Alzheimers Dement 2023; 19:5023-5035. [PMID: 37095709 PMCID: PMC10593911 DOI: 10.1002/alz.13096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 03/10/2023] [Accepted: 03/27/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION We investigated the link between locus coeruleus (LC) pathology and cerebral microangiopathy in two large neuropathology datasets. METHODS We included data from the National Alzheimer's Coordinating Center (NACC) database (n = 2197) and Religious Orders Study and Rush Memory and Aging Project (ROSMAP; n = 1637). Generalized estimating equations and logistic regression were used to examine associations between LC hypopigmentation and presence of cerebral amyloid angiopathy (CAA) or arteriolosclerosis, correcting for age at death, sex, cortical Alzheimer's disease (AD) pathology, ante mortem cognitive status, and presence of vascular and genetic risk factors. RESULTS LC hypopigmentation was associated with higher odds of overall CAA in the NACC dataset, leptomeningeal CAA in the ROSMAP dataset, and arteriolosclerosis in both datasets. DISCUSSION LC pathology is associated with cerebral microangiopathy, independent of cortical AD pathology. LC degeneration could potentially contribute to the pathways relating vascular pathology to AD. Future studies of the LC-norepinephrine system on cerebrovascular health are warranted. HIGHLIGHTS We associated locus coeruleus (LC) pathology and cerebral microangiopathy in two large autopsy datasets. LC hypopigmentation was consistently related to arteriolosclerosis in both datasets. LC hypopigmentation was related to cerebral amyloid angiopathy (CAA) presence in the National Alzheimer's Coordinating Center dataset. LC hypopigmentation was related to leptomeningeal CAA in the Religious Orders Study and Rush Memory and Aging Project dataset. LC degeneration may play a role in the pathways relating vascular pathology to Alzheimer's disease.
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Affiliation(s)
- WM Freeze
- Department of Radiology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, 6229 ET, Maastricht, the Netherlands
| | - SJ van Veluw
- Department of Radiology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands
- Department of Neurology, J. Philip Kistler Stroke Research Center, MGH, Boston, MA 02114, USA
| | - WJ Jansen
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, 6229 ET, Maastricht, the Netherlands
- Banner Alzheimer’s Institute, Phoenix, AZ 85006, USA
| | - DA Bennett
- Department of Neurological Sciences, Rush Alzheimer’s Disease Center, Rush University Medical Center; Chicago, IL 60612, USA
| | - HIL Jacobs
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, 6229 ET, Maastricht, the Netherlands
- Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
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17
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Dobrynina LA, Shabalina AA, Shamtieva KV, Kremneva EI, Zabitova MR, Krotenkova MV, Burmak AG, Gnedovskaya EV. L-Arginine-eNOS-NO Functional System in Brain Damage and Cognitive Impairments in Cerebral Small Vessel Disease. Int J Mol Sci 2023; 24:14537. [PMID: 37833984 PMCID: PMC10572456 DOI: 10.3390/ijms241914537] [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: 07/26/2023] [Revised: 09/23/2023] [Accepted: 09/24/2023] [Indexed: 10/15/2023] Open
Abstract
Cerebral small vessel disease (CSVD) is a significant cause of cognitive impairment (CI), disability, and mortality. The insufficient effectiveness of antihypertensive therapy in curbing the disease justifies the search for potential targets for modifying therapy and indicators supporting its use. Using a laser-assisted optical rotational cell analyzer (LORRCA, Mechatronics, The Netherlands), the rheological properties and deformability of erythrocytes before and after incubation with 10 μmol/L of L-arginine, the nitric oxide (NO) donor, blood-brain barrier (BBB) permeability assessed by dynamic contrast-enhanced MRI, clinical, and MRI signs were studied in 73 patients with CSVD (48 women, mean age 60.1 ± 6.5 years). The control group consisted of 19 volunteers (14 women (73.7%), mean age 56.9 ± 6.4 years). The erythrocyte disaggregation rate (y-dis) after incubation with L-arginine showed better performance than other rheological characteristics in differentiating patients with reduced NO bioavailability/NO deficiency by its threshold values. Patients with y-dis > 113 s-1 had more severe CI, arterial hypertension, white matter lesions, and increased BBB permeability in grey matter and normal-appearing white matter (NAWM). A test to assess changes in the erythrocyte disaggregation rate after incubation with L-arginine can be used to identify patients with impaired NO bioavailability. L-arginine may be part of a therapeutic strategy for CSVD with CI.
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Affiliation(s)
| | | | | | | | - Maryam R. Zabitova
- Research Center of Neurology, 80 Volokolamskoe Shosse, 125367 Moscow, Russia; (L.A.D.); (A.A.S.); (K.V.S.); (E.I.K.); (M.V.K.); (A.G.B.); (E.V.G.)
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18
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Lindland ES, Solheim AM, Andreassen S, Bugge R, Eikeland R, Reiso H, Lorentzen ÅR, Harbo HF, Beyer MK, Bjørnerud A. Dynamic contrast-enhanced MRI shows altered blood-brain barrier function of deep gray matter structures in neuroborreliosis: a case-control study. Eur Radiol Exp 2023; 7:52. [PMID: 37710058 PMCID: PMC10501980 DOI: 10.1186/s41747-023-00365-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 06/22/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Main aim was assessment of regional blood-brain barrier (BBB) function by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in patients with neuroborreliosis. Secondary aim was to study the correlation of BBB function with biochemical, clinical, and cognitive parameters. METHODS Regional ethical committee approved this prospective single-center case-control study. Within 1 month after diagnosis of neuroborreliosis, 55 patients underwent DCE-MRI. The patient group consisted of 25 males and 30 females with mean age 58 years, and the controls were 8 males and 7 females with mean age 57 years. Pharmacokinetic compartment modelling with Patlak fit was applied, providing estimates for capillary leakage rate and blood volume fraction. Nine anatomical brain regions were sampled with auto-generated binary masks. Fatigue, severity of clinical symptoms and findings, and cognitive function were assessed in the acute phase and 6 months after treatment. RESULTS Leakage rates and blood volume fractions were lower in patients compared to controls in the thalamus (p = 0.027 and p = 0.018, respectively), caudate nucleus (p = 0.009 for both), and hippocampus (p = 0.054 and p = 0.009). No correlation of leakage rates with fatigue, clinical disease severity or cognitive function was found. CONCLUSIONS In neuroborreliosis, leakage rate and blood volume fraction in the thalamus, caudate nucleus, and hippocampus were lower in patients compared to controls. DCE-MRI provided new insight to pathophysiology of neuroborreliosis, and can serve as biomarker of BBB function and regulatory mechanisms of the neurovascular unit in infection and inflammation. RELEVANCE STATEMENT DCE-MRI provided new insight to pathophysiology of neuroborreliosis, and can serve as biomarker of blood-brain barrier function and regulatory mechanisms of the neurovascular unit in infection and inflammation. KEY POINTS • Neuroborreliosis is an infection with disturbed BBB function. • Microvessel leakage can be studied with DCE-MRI. • Prospective case-control study showed altered microvessel properties in thalamus, caudate, and hippocampus.
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Affiliation(s)
- Elisabeth S Lindland
- Department of Radiology, Sorlandet Hospital, Sykehusveien 1, N-4809, Arendal, Norway.
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Anne Marit Solheim
- Department of Neurology, Sorlandet Hospital, Kristiansand, Norway
- Institute of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Silje Andreassen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Pediatrics, Sorlandet Hospital, Arendal, Norway
| | - Robin Bugge
- Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway
| | - Randi Eikeland
- The Norwegian National Advisory Unit On Tick-Borne Diseases, Sorlandet Hospital, Kristiansand, Norway
- Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway
| | - Harald Reiso
- The Norwegian National Advisory Unit On Tick-Borne Diseases, Sorlandet Hospital, Kristiansand, Norway
| | - Åslaug R Lorentzen
- Department of Neurology, Sorlandet Hospital, Kristiansand, Norway
- The Norwegian National Advisory Unit On Tick-Borne Diseases, Sorlandet Hospital, Kristiansand, Norway
| | - Hanne F Harbo
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Mona K Beyer
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Atle Bjørnerud
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- Department of Physics, University of Oslo, Oslo, Norway
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19
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Thomas J, Jezzard P, Webb AJS. Low-frequency oscillations in the brain show differential regional associations with severity of cerebral small vessel disease: a systematic review. Front Neurosci 2023; 17:1254209. [PMID: 37719157 PMCID: PMC10501452 DOI: 10.3389/fnins.2023.1254209] [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: 07/06/2023] [Accepted: 08/15/2023] [Indexed: 09/19/2023] Open
Abstract
Background Cerebral small vessel disease (cSVD) is associated with endothelial dysfunction but the pathophysiology is poorly understood. Low-frequency oscillations (LFOs) in the BOLD signal partly reflect cerebrovascular function and have the potential to identify endothelial dysfunction in cSVD. A systematic review was performed to assess the reported relationships between imaging markers of cSVD and LFOs. Methods Medline and EMBASE were searched for original studies reporting an association between LFOs and STRIVE-defined imaging markers of cSVD, including: white matter hyperintensities (WMH), enlarged perivascular spaces, lacunes, CADASIL, and cerebral microbleeds, from inception to September 1, 2022. Variations in LFOs were extracted, where available, on a global, tissue-specific, or regional level, in addition to participant demographics, data acquisition, methods of analysis, and study quality. Where a formal meta-analysis was not possible, differences in the number of studies reporting LFO magnitude by presence or severity of cSVD were determined by sign test. Results 15 studies were included from 841 titles. Studies varied in quality, acquisition parameters, and in method of analysis. Amplitude of low-frequency fluctuation (ALFF) in resting state fMRI was most commonly assessed (12 studies). Across 15 studies with differing markers of cSVD (9 with WMH; 1 with cerebral microbleeds; 1 with lacunar infarcts; 1 with CADASIL; 3 with multiple markers), LFOs in patients with cSVD were decreased in the posterior cortex (22 of 32 occurrences across all studies, p = 0.05), increased in the deep grey nuclei (7 of 7 occurrences across all studies, p = 0.016), and potentially increased in the temporal lobes (9 of 11 occurrences across all studies, p = 0.065). Conclusion Despite limited consensus on the optimal acquisition and analysis methods, there was reasonably consistent regional variation in LFO magnitude by severity of cSVD markers, supporting its potential as a novel index of endothelial dysfunction. We propose a consistent approach to measuring LFOs to characterise targetable mechanisms underlying cSVD.
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Affiliation(s)
- James Thomas
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Peter Jezzard
- FMRIB Division, Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Alastair J. S. Webb
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
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20
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Elias A, Padinjakara N, Lautenschlager NT. Effects of intermittent fasting on cognitive health and Alzheimer's disease. Nutr Rev 2023; 81:1225-1233. [PMID: 37043764 PMCID: PMC10413426 DOI: 10.1093/nutrit/nuad021] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023] Open
Abstract
OBJECTIVE Caloric restriction by intermittent fasting produces several metabolic changes, such as increased insulin sensitivity and use of ketone bodies as energy sources. In humans, intermittent fasting has been studied in hypertension, diabetes, and related conditions, but, to date, not as a strategy to reduce the risk of emergent dementia. In this scoping review, the relevance of intermittent fasting as a potential preventive intervention for Alzheimer's dementia is explored. BACKGROUND The beneficial effects of calorie restriction have been documented in animals and humans. Decreased oxidative stress damage and attenuated inflammatory responses are associated with intermittent fasting. These changes have a favorable impact on the vascular endothelium and stress-induced cellular adaptation. RESULTS Physiological alterations associated with fasting have profound implications for pathological mechanisms associated with dementias, particularly Alzheimer's disease. Compared with ad libitum feeding, caloric restriction in animals was associated with a reduction in β-amyloid accumulation, which is the cardinal pathological marker of Alzheimer's disease. Animal studies have demonstrated synaptic adaptations in the hippocampus and enhanced cognitive function after fasting, consistent with these theoretical frameworks. Furthermore, vascular dysfunction plays a crucial role in Alzheimer's disease pathology, and intermittent fasting promotes vascular health. CONCLUSIONS These observations lead to a hypothesis that intermittent fasting over the years will potentially reverse or delay the pathological process in Alzheimer's disease.
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Affiliation(s)
- Alby Elias
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, North-Western Mental Health, Melbourne Health, Victoria, Australia
| | - Noushad Padinjakara
- Department of Endocrinology and Metabolic Medicine, South Warwickshire University NHS Foundation Trust, Coventry, United Kingdom
| | - Nicola T Lautenschlager
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, North-Western Mental Health, Melbourne Health, Victoria, Australia
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21
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Emmerson JT, Do Carmo S, Liu Y, Shalhoub A, Liu A, Bonomo Q, Malcolm JC, Breuillaud L, Cuello AC. Progressive human-like tauopathy with downstream neurodegeneration and neurovascular compromise in a transgenic rat model. Neurobiol Dis 2023; 184:106227. [PMID: 37454780 DOI: 10.1016/j.nbd.2023.106227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 06/27/2023] [Accepted: 07/11/2023] [Indexed: 07/18/2023] Open
Abstract
Tauopathies, including frontotemporal dementia (FTD) and Alzheimer's disease (AD), clinically present with progressive cognitive decline and the deposition of neurofibrillary tangles (NFTs) in the brain. Neurovascular compromise is also prevalent in AD and FTD however the relationship between tau and the neurovascular unit is less understood relative to other degenerative phenotypes. Current animal models confer the ability to recapitulate aspects of the CNS tauopathies, however, existing models either display overaggressive phenotypes, or do not develop neuronal loss or genuine neurofibrillary lesions. In this report, we communicate the longitudinal characterization of brain tauopathy in a novel transgenic rat model, coded McGill-R955-hTau. The model expresses the longest isoform of human P301S tau. Homozygous R955-hTau rats displayed a robust, progressive accumulation of mutated human tau leading to the detection of tau hyperphosphorylation and cognitive deficits accelerating from 14 months of age. This model features extensive tau hyperphosphorylation with endogenous tau recruitment, authentic neurofibrillary lesions, and tau-associated neuronal loss, ventricular dilation, decreased brain volume, and gliosis in aged rats. Further, we demonstrate how neurovascular integrity becomes compromised at aged life stages using a combination of electron microscopy, injection of the tracer horseradish peroxidase and immunohistochemical approaches.
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Affiliation(s)
- Joshua T Emmerson
- Department of Pharmacology & Therapeutics, McGill University, Montreal H3G1Y6, Canada
| | - Sonia Do Carmo
- Department of Pharmacology & Therapeutics, McGill University, Montreal H3G1Y6, Canada
| | - Yingying Liu
- Department of Pharmacology & Therapeutics, McGill University, Montreal H3G1Y6, Canada
| | - Ali Shalhoub
- Department of Biochemistry, McGill University, Montreal H3A 0C7, Canada
| | - Ai Liu
- Integrated Program in Neuroscience, McGill University, Montreal H3A 1A1, Canada
| | - Quentin Bonomo
- Integrated Program in Neuroscience, McGill University, Montreal H3A 1A1, Canada
| | - Janice C Malcolm
- Department of Anatomy and Cell Biology, McGill University, Montreal H3A 0C7, Canada
| | - Lionel Breuillaud
- Department of Pharmacology & Therapeutics, McGill University, Montreal H3G1Y6, Canada
| | - A Claudio Cuello
- Department of Pharmacology & Therapeutics, McGill University, Montreal H3G1Y6, Canada; Integrated Program in Neuroscience, McGill University, Montreal H3A 1A1, Canada; Department of Pharmacology, Oxford University, Oxford OX13QT, UK.
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22
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Inoue Y, Shue F, Bu G, Kanekiyo T. Pathophysiology and probable etiology of cerebral small vessel disease in vascular dementia and Alzheimer's disease. Mol Neurodegener 2023; 18:46. [PMID: 37434208 PMCID: PMC10334598 DOI: 10.1186/s13024-023-00640-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/28/2023] [Indexed: 07/13/2023] Open
Abstract
Vascular cognitive impairment and dementia (VCID) is commonly caused by vascular injuries in cerebral large and small vessels and is a key driver of age-related cognitive decline. Severe VCID includes post-stroke dementia, subcortical ischemic vascular dementia, multi-infarct dementia, and mixed dementia. While VCID is acknowledged as the second most common form of dementia after Alzheimer's disease (AD) accounting for 20% of dementia cases, VCID and AD frequently coexist. In VCID, cerebral small vessel disease (cSVD) often affects arterioles, capillaries, and venules, where arteriolosclerosis and cerebral amyloid angiopathy (CAA) are major pathologies. White matter hyperintensities, recent small subcortical infarcts, lacunes of presumed vascular origin, enlarged perivascular space, microbleeds, and brain atrophy are neuroimaging hallmarks of cSVD. The current primary approach to cSVD treatment is to control vascular risk factors such as hypertension, dyslipidemia, diabetes, and smoking. However, causal therapeutic strategies have not been established partly due to the heterogeneous pathogenesis of cSVD. In this review, we summarize the pathophysiology of cSVD and discuss the probable etiological pathways by focusing on hypoperfusion/hypoxia, blood-brain barriers (BBB) dysregulation, brain fluid drainage disturbances, and vascular inflammation to define potential diagnostic and therapeutic targets for cSVD.
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Affiliation(s)
- Yasuteru Inoue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Francis Shue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Guojun Bu
- SciNeuro Pharmaceuticals, Rockville, MD 20850 USA
| | - Takahisa Kanekiyo
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
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23
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Bommarito G, Garibotto V, Frisoni GB, Assal F, Lalive PH, Allali G. The Two-Way Route between Delirium Disorder and Dementia: Insights from COVID-19. NEURODEGENER DIS 2023; 22:91-103. [PMID: 37054684 DOI: 10.1159/000530566] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/23/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Delirium disorder is a frequent neurological complication of SARS-CoV-2 infection and associated with increased disease severity and mortality. Cognitive impairment is a major risk factor for developing delirium disorder during COVID-19, which, in turn, increases the risk of subsequent neurological complications and cognitive decline. SUMMARY The bidirectional connection between delirium disorder and dementia likely resides at multiple levels, and its pathophysiological mechanisms during COVID-19 include endothelial damage, blood-brain barrier dysfunction, and local inflammation, with activation of microglia and astrocytes. Here, we describe the putative pathogenic pathways underlying delirium disorder during COVID-19 and highlight how they cross with the ones leading to neurodegenerative dementia. KEY MESSAGES The analysis of the two-sided link can offer useful insights for confronting with long-term neurological consequences of COVID-19 and framing future prevention and early treatment strategies.
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Affiliation(s)
- Giulia Bommarito
- Department of Clinical Neurosciences, Lausanne University Hospitals and University of Lausanne, Lausanne, Switzerland
| | - Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals and NIMTlab, University of Geneva, Geneva, Switzerland
| | - Giovanni B Frisoni
- Memory Center and LANVIE-Laboratory of Neuroimaging of Aging, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Frédéric Assal
- Department of Clinical Neurosciences, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Patrice H Lalive
- Department of Clinical Neurosciences, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Laboratory Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
| | - Gilles Allali
- Department of Clinical Neurosciences, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
- Division of Cognitive and Motor Aging, Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York, USA
- Leenaards Memory Center, Lausanne University Hospitals and University of Lausanne, Lausanne, Switzerland
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24
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Wei Z, Liu H, Lin Z, Yao M, Li R, Liu C, Li Y, Xu J, Duan W, Lu H. Non-contrast assessment of blood-brain barrier permeability to water in mice: An arterial spin labeling study at cerebral veins. Neuroimage 2023; 268:119870. [PMID: 36640948 PMCID: PMC9908858 DOI: 10.1016/j.neuroimage.2023.119870] [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: 08/23/2022] [Revised: 11/15/2022] [Accepted: 01/10/2023] [Indexed: 01/13/2023] Open
Abstract
Blood-brain barrier (BBB) plays a critical role in protecting the brain from toxins and pathogens. However, in vivo tools to assess BBB permeability are scarce and often require the use of exogenous contrast agents. In this study, we aimed to develop a non-contrast arterial-spin-labeling (ASL) based MRI technique to estimate BBB permeability to water in mice. By determining the relative fraction of labeled water spins that were exchanged into the brain tissue as opposed to those that remained in the cerebral veins, we estimated indices of global BBB permeability to water including water extraction fraction (E) and permeability surface-area product (PS). First, using multiple post-labeling delay ASL experiments, we estimated the bolus arrival time (BAT) of the labeled spins to reach the great vein of Galen (VG) to be 691.2 ± 14.5 ms (N = 5). Next, we investigated the dependence of the VG ASL signal on labeling duration and identified an optimal imaging protocol with a labeling duration of 1200 ms and a PLD of 100 ms. Quantitative E and PS values in wild-type mice were found to be 59.9 ± 3.2% and 260.9 ± 18.9 ml/100 g/min, respectively. In contrast, mice with Huntington's disease (HD) revealed a significantly higher E (69.7 ± 2.4%, P = 0.026) and PS (318.1 ± 17.1 ml/100 g/min, P = 0.040), suggesting BBB breakdown in this mouse model. Reproducibility studies revealed a coefficient-of-variation (CoV) of 4.9 ± 1.7% and 6.1 ± 1.2% for E and PS, respectively. The proposed method may open new avenues for preclinical research on pathophysiological mechanisms of brain diseases and therapeutic trials in animal models.
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Affiliation(s)
- Zhiliang Wei
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA.
| | - Hongshuai Liu
- Division of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA
| | - Zixuan Lin
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA
| | - Minmin Yao
- Division of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA
| | - Ruoxuan Li
- Division of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA
| | - Chang Liu
- Division of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA
| | - Yuguo Li
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA
| | - Jiadi Xu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA
| | - Wenzhen Duan
- Division of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Hanzhang Lu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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25
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He Y, Li Z, Shi X, Ding J, Wang X. Roles of NG2 Glia in Cerebral Small Vessel Disease. Neurosci Bull 2023; 39:519-530. [PMID: 36401147 PMCID: PMC10043141 DOI: 10.1007/s12264-022-00976-w] [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: 04/09/2022] [Accepted: 09/02/2022] [Indexed: 11/19/2022] Open
Abstract
Cerebral small vessel disease (CSVD) is one of the most prevalent pathologic processes affecting 5% of people over 50 years of age and contributing to 45% of dementia cases. Increasing evidence has demonstrated the pathological roles of chronic hypoperfusion, impaired cerebral vascular reactivity, and leakage of the blood-brain barrier in CSVD. However, the pathogenesis of CSVD remains elusive thus far, and no radical treatment has been developed. NG2 glia, also known as oligodendrocyte precursor cells, are the fourth type of glial cell in addition to astrocytes, microglia, and oligodendrocytes in the mammalian central nervous system. Many novel functions for NG2 glia in physiological and pathological states have recently been revealed. In this review, we discuss the role of NG2 glia in CSVD and the underlying mechanisms.
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Affiliation(s)
- Yixi He
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Zhenghao Li
- Institute of Neuroscience, MOE Key Laboratory of Molecular Neurobiology, NMU, Shanghai, 200433, China
| | - Xiaoyu Shi
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Jing Ding
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China.
| | - Xin Wang
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China.
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26
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Harris WJ, Asselin MC, Hinz R, Parkes LM, Allan S, Schiessl I, Boutin H, Dickie BR. In vivo methods for imaging blood-brain barrier function and dysfunction. Eur J Nucl Med Mol Imaging 2023; 50:1051-1083. [PMID: 36437425 PMCID: PMC9931809 DOI: 10.1007/s00259-022-05997-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 10/09/2022] [Indexed: 11/29/2022]
Abstract
The blood-brain barrier (BBB) is the interface between the central nervous system and systemic circulation. It tightly regulates what enters and is removed from the brain parenchyma and is fundamental in maintaining brain homeostasis. Increasingly, the BBB is recognised as having a significant role in numerous neurological disorders, ranging from acute disorders (traumatic brain injury, stroke, seizures) to chronic neurodegeneration (Alzheimer's disease, vascular dementia, small vessel disease). Numerous approaches have been developed to study the BBB in vitro, in vivo, and ex vivo. The complex multicellular structure and effects of disease are difficult to recreate accurately in vitro, and functional aspects of the BBB cannot be easily studied ex vivo. As such, the value of in vivo methods to study the intact BBB cannot be overstated. This review discusses the structure and function of the BBB and how these are affected in diseases. It then discusses in depth several established and novel methods for imaging the BBB in vivo, with a focus on MRI, nuclear imaging, and high-resolution intravital fluorescence microscopy.
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Affiliation(s)
- William James Harris
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL, Manchester, UK
| | - Marie-Claude Asselin
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK
| | - Rainer Hinz
- Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
| | - Laura Michelle Parkes
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL, Manchester, UK
| | - Stuart Allan
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL, Manchester, UK
| | - Ingo Schiessl
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL, Manchester, UK
| | - Herve Boutin
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK.
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL, Manchester, UK.
- Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK.
| | - Ben Robert Dickie
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK
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27
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Abstract
Cerebral small vessel disease (CSVD) has emerged as a common factor driving age-dependent diseases, including stroke and dementia. CSVD-related dementia will affect a growing fraction of the aging population, requiring improved recognition, understanding, and treatments. This review describes evolving criteria and imaging biomarkers for the diagnosis of CSVD-related dementia. We describe diagnostic challenges, particularly in the context of mixed pathologies and the absence of highly effective biomarkers for CSVD-related dementia. We review evidence regarding CSVD as a risk factor for developing neurodegenerative disease and potential mechanisms by which CSVD leads to progressive brain injury. Finally, we summarize recent studies on the effects of major classes of cardiovascular medicines relevant to CSVD-related cognitive impairment. Although many key questions remain, the increased attention to CSVD has resulted in a sharper vision for what will be needed to meet the upcoming challenges imposed by this disease.
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Affiliation(s)
- Fanny M. Elahi
- Departments of Neurology and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY
- Neurology Service, VA Bronx Healthcare System, Bronx, NY
| | - Michael M. Wang
- Departments of Neurology and Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI
- Neurology Service, VA Ann Arbor Healthcare System, Ann Arbor, MI
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28
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Yang Y, Knol MJ, Wang R, Mishra A, Liu D, Luciano M, Teumer A, Armstrong N, Bis JC, Jhun MA, Li S, Adams HHH, Aziz NA, Bastin ME, Bourgey M, Brody JA, Frenzel S, Gottesman RF, Hosten N, Hou L, Kardia SLR, Lohner V, Marquis P, Maniega SM, Satizabal CL, Sorond FA, Valdés Hernández MC, van Duijn CM, Vernooij MW, Wittfeld K, Yang Q, Zhao W, Boerwinkle E, Levy D, Deary IJ, Jiang J, Mather KA, Mosley TH, Psaty BM, Sachdev PS, Smith JA, Sotoodehnia N, DeCarli CS, Breteler MMB, Ikram MA, Grabe HJ, Wardlaw J, Longstreth WT, Launer LJ, Seshadri S, Debette S, Fornage M. Epigenetic and integrative cross-omics analyses of cerebral white matter hyperintensities on MRI. Brain 2023; 146:492-506. [PMID: 35943854 PMCID: PMC9924914 DOI: 10.1093/brain/awac290] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/23/2022] [Accepted: 07/08/2022] [Indexed: 11/13/2022] Open
Abstract
Cerebral white matter hyperintensities on MRI are markers of cerebral small vessel disease, a major risk factor for dementia and stroke. Despite the successful identification of multiple genetic variants associated with this highly heritable condition, its genetic architecture remains incompletely understood. More specifically, the role of DNA methylation has received little attention. We investigated the association between white matter hyperintensity burden and DNA methylation in blood at ∼450 000 cytosine-phosphate-guanine (CpG) sites in 9732 middle-aged to older adults from 14 community-based studies. Single CpG and region-based association analyses were carried out. Functional annotation and integrative cross-omics analyses were performed to identify novel genes underlying the relationship between DNA methylation and white matter hyperintensities. We identified 12 single CpG and 46 region-based DNA methylation associations with white matter hyperintensity burden. Our top discovery single CpG, cg24202936 (P = 7.6 × 10-8), was associated with F2 expression in blood (P = 6.4 × 10-5) and co-localized with FOLH1 expression in brain (posterior probability = 0.75). Our top differentially methylated regions were in PRMT1 and in CCDC144NL-AS1, which were also represented in single CpG associations (cg17417856 and cg06809326, respectively). Through Mendelian randomization analyses cg06809326 was putatively associated with white matter hyperintensity burden (P = 0.03) and expression of CCDC144NL-AS1 possibly mediated this association. Differentially methylated region analysis, joint epigenetic association analysis and multi-omics co-localization analysis consistently identified a role of DNA methylation near SH3PXD2A, a locus previously identified in genome-wide association studies of white matter hyperintensities. Gene set enrichment analyses revealed functions of the identified DNA methylation loci in the blood-brain barrier and in the immune response. Integrative cross-omics analysis identified 19 key regulatory genes in two networks related to extracellular matrix organization, and lipid and lipoprotein metabolism. A drug-repositioning analysis indicated antihyperlipidaemic agents, more specifically peroxisome proliferator-activated receptor-alpha, as possible target drugs for white matter hyperintensities. Our epigenome-wide association study and integrative cross-omics analyses implicate novel genes influencing white matter hyperintensity burden, which converged on pathways related to the immune response and to a compromised blood-brain barrier possibly due to disrupted cell-cell and cell-extracellular matrix interactions. The results also suggest that antihyperlipidaemic therapy may contribute to lowering risk for white matter hyperintensities possibly through protection against blood-brain barrier disruption.
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Affiliation(s)
- Yunju Yang
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science at Houston, Houston, TX 77030, USA
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC University Medical Center, 3015 GD, Rotterdam, The Netherlands
| | - Ruiqi Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, F-33000 Bordeaux, France
| | - Dan Liu
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald 17475, Germany
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, 15-269, Poland
| | - Nicola Armstrong
- Mathematics and Statistics, Curtin University, 6845 Perth, Australia
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 02115, USA
| | - Min A Jhun
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48104, USA
| | - Shuo Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Hieab H H Adams
- Department of Epidemiology, Erasmus MC University Medical Center, 3015 GD, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, 3015 GD, Rotterdam, The Netherlands
| | - Nasir Ahmad Aziz
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, 53127 Bonn, Germany
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, EH8 9AB, UK
| | - Mathieu Bourgey
- Canadian Centre for Computational Genomics, McGill University, Montréal, Quebec, Canada H3A 0G1
- Department for Human Genetics, McGill University Genome Centre, McGill University, Montréal, Quebec, Canada H3A 0G1
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 02115, USA
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17475, Germany
| | - Rebecca F Gottesman
- Stroke Branch, National Institutes of Neurological Disorders and Stroke, Bethesda, MD 20814, USA
| | - Norbert Hosten
- Department of Radiology and Neuroradiology, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48104, USA
| | - Valerie Lohner
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
| | - Pascale Marquis
- Canadian Centre for Computational Genomics, McGill University, Montréal, Quebec, Canada H3A 0G1
- Department for Human Genetics, McGill University Genome Centre, McGill University, Montréal, Quebec, Canada H3A 0G1
| | - Susana Muñoz Maniega
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, EH8 9AB, UK
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases and Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX 78229, USA
- The Framingham Heart Study, Framingham, MA 01701, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA 02115, USA
| | - Farzaneh A Sorond
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Maria C Valdés Hernández
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, EH8 9AB, UK
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC University Medical Center, 3015 GD, Rotterdam, The Netherlands
- Nuffield Department of Population Health, Oxford University, Oxford, OX3 7LF, UK
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, 3015 GD, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, 3015 GD, Rotterdam, The Netherlands
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17475, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, 17475 Rostock, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- The Framingham Heart Study, Framingham, MA 01701, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48104, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA 01701, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20814, USA
| | - Ian J Deary
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW 2052, Australia
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW 2052, Australia
- Neuroscience Research Australia, Sydney, NSW 2031, Australia
| | - Thomas H Mosley
- The Memory Impairment Neurodegenerative Dementia (MIND) Research Center, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 02115, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98104, USA
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW 2052, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, University of New South Wales, Randwick, NSW 2031, Australia
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48104, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 02115, USA
| | - Charles S DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA 95816, USA
| | - Monique M B Breteler
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, 53127 Bonn, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, 3015 GD, Rotterdam, The Netherlands
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17475, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, 17475 Rostock, Germany
| | - Joanna Wardlaw
- Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, EH8 9AB, UK
| | - W T Longstreth
- Department of Epidemiology, University of Washington, Seattle, WA 98104, USA
- Department of Neurology, University of Washington, Seattle, WA 98104, USA
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases and Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX 78229, USA
- The Framingham Heart Study, Framingham, MA 01701, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA 02115, USA
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, F-33000 Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, MA 02115, USA
- CHU de Bordeaux, Department of Neurology, F-33000 Bordeaux, France
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science at Houston, Houston, TX 77030, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science at Houston, Houston, TX 77030, USA
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29
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Uchida Y, Kan H, Sakurai K, Oishi K, Matsukawa N. Contributions of blood-brain barrier imaging to neurovascular unit pathophysiology of Alzheimer's disease and related dementias. Front Aging Neurosci 2023; 15:1111448. [PMID: 36861122 PMCID: PMC9969807 DOI: 10.3389/fnagi.2023.1111448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 01/26/2023] [Indexed: 02/11/2023] Open
Abstract
The blood-brain barrier (BBB) plays important roles in the maintenance of brain homeostasis. Its main role includes three kinds of functions: (1) to protect the central nervous system from blood-borne toxins and pathogens; (2) to regulate the exchange of substances between the brain parenchyma and capillaries; and (3) to clear metabolic waste and other neurotoxic compounds from the central nervous system into meningeal lymphatics and systemic circulation. Physiologically, the BBB belongs to the glymphatic system and the intramural periarterial drainage pathway, both of which are involved in clearing interstitial solutes such as β-amyloid proteins. Thus, the BBB is believed to contribute to preventing the onset and progression for Alzheimer's disease. Measurements of BBB function are essential toward a better understanding of Alzheimer's pathophysiology to establish novel imaging biomarkers and open new avenues of interventions for Alzheimer's disease and related dementias. The visualization techniques for capillary, cerebrospinal, and interstitial fluid dynamics around the neurovascular unit in living human brains have been enthusiastically developed. The purpose of this review is to summarize recent BBB imaging developments using advanced magnetic resonance imaging technologies in relation to Alzheimer's disease and related dementias. First, we give an overview of the relationship between Alzheimer's pathophysiology and BBB dysfunction. Second, we provide a brief description about the principles of non-contrast agent-based and contrast agent-based BBB imaging methodologies. Third, we summarize previous studies that have reported the findings of each BBB imaging method in individuals with the Alzheimer's disease continuum. Fourth, we introduce a wide range of Alzheimer's pathophysiology in relation to BBB imaging technologies to advance our understanding of the fluid dynamics around the BBB in both clinical and preclinical settings. Finally, we discuss the challenges of BBB imaging techniques and suggest future directions toward clinically useful imaging biomarkers for Alzheimer's disease and related dementias.
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Affiliation(s)
- Yuto Uchida
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States,*Correspondence: Yuto Uchida, ; Noriyuki Matsukawa,
| | - Hirohito Kan
- Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keita Sakurai
- Department of Radiology, National Center for Geriatrics and Gerontology, Ōbu, Aichi, Japan
| | - Kenichi Oishi
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Noriyuki Matsukawa
- Department of Neurology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan,*Correspondence: Yuto Uchida, ; Noriyuki Matsukawa,
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30
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Initial and ongoing tobacco smoking elicits vascular damage and distinct inflammatory response linked to neurodegeneration. Brain Behav Immun Health 2023; 28:100597. [PMID: 36817509 PMCID: PMC9931921 DOI: 10.1016/j.bbih.2023.100597] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 12/07/2022] [Accepted: 01/21/2023] [Indexed: 01/30/2023] Open
Abstract
Tobacco smoking is strongly linked to vascular damage contributing to the development of hypertension, atherosclerosis, as well as increasing the risk for neurodegeneration. Still, the involvement of the innate immune system in the development of vascular damage upon chronic tobacco use before the onset of clinical symptoms is not fully characterized. Our data provide evidence that a single acute exposure to tobacco elicits the secretion of extracellular vesicles expressing CD105 and CD49e from endothelial cells, granting further recognition of early preclinical biomarkers of vascular damage. Furthermore, we investigated the effects of smoking on the immune system of healthy asymptomatic chronic smokers compared to never-smokers, focusing on the innate immune system. Our data reveal a distinct immune landscape representative for early stages of vascular damage in clinically asymptomatic chronic smokers, before tobacco smoking related diseases develop. These results indicate a dysregulated immuno-vascular axis in chronic tobacco smokers that are otherwise considered as healthy individuals. The distinct alterations are characterized by increased CD36 expression by the blood monocyte subsets, neutrophilia and increased plasma IL-18 and reduced levels of IL-33, IL-10 and IL-8. Additionally, reduced levels of circulating BDNF and elevated sTREM2, which are associated with neurodegeneration, suggest a considerable impact of tobacco smoking on CNS function in clinically healthy individuals. These findings provide profound insight into the initial and ongoing effects of tobacco smoking and the potential vascular damage contributing to neurodegenerative disorders, specifically cerebrovascular dysfunction and dementia.
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31
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Abstract
Hypertension affects a significant proportion of the adult and aging population and represents an important risk factor for vascular cognitive impairment and late-life dementia. Chronic high blood pressure continuously challenges the structural and functional integrity of the cerebral vasculature, leading to microvascular rarefaction and dysfunction, and neurovascular uncoupling that typically impairs cerebral blood supply. Hypertension disrupts blood-brain barrier integrity, promotes neuroinflammation, and may contribute to amyloid deposition and Alzheimer pathology. The mechanisms underlying these harmful effects are still a focus of investigation, but studies in animal models have provided significant molecular and cellular mechanistic insights. Remaining questions relate to whether adequate treatment of hypertension may prevent deterioration of cognitive function, the threshold for blood pressure treatment, and the most effective antihypertensive drugs. Recent advances in neurovascular biology, advanced brain imaging, and detection of subtle behavioral phenotypes have begun to provide insights into these critical issues. Importantly, a parallel analysis of these parameters in animal models and humans is feasible, making it possible to foster translational advancements. In this review, we provide a critical evaluation of the evidence available in experimental models and humans to examine the progress made and identify remaining gaps in knowledge.
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Affiliation(s)
| | - Costantino Iadecola
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY
| | - Daniela Carnevale
- Department of Molecular Medicine, “Sapienza” University of Rome, Italy
- Research Unit of Neuro and Cardiovascular Pathophysiology, IRCCS Neuromed, Pozzilli, Italy
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32
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Huang P, Zhang M. Magnetic Resonance Imaging Studies of Neurodegenerative Disease: From Methods to Translational Research. Neurosci Bull 2023; 39:99-112. [PMID: 35771383 PMCID: PMC9849544 DOI: 10.1007/s12264-022-00905-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/07/2022] [Indexed: 01/22/2023] Open
Abstract
Neurodegenerative diseases (NDs) have become a significant threat to an aging human society. Numerous studies have been conducted in the past decades to clarify their pathologic mechanisms and search for reliable biomarkers. Magnetic resonance imaging (MRI) is a powerful tool for investigating structural and functional brain alterations in NDs. With the advantages of being non-invasive and non-radioactive, it has been frequently used in both animal research and large-scale clinical investigations. MRI may serve as a bridge connecting micro- and macro-level analysis and promoting bench-to-bed translational research. Nevertheless, due to the abundance and complexity of MRI techniques, exploiting their potential is not always straightforward. This review aims to briefly introduce research progress in clinical imaging studies and discuss possible strategies for applying MRI in translational ND research.
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Affiliation(s)
- Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009 China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009 China
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33
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Mena Romo L, Gómez-Choco M. Neuroimaging in small vessel disease. HIPERTENSION Y RIESGO VASCULAR 2023; 40:25-33. [PMID: 35676196 DOI: 10.1016/j.hipert.2022.05.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 11/28/2022]
Abstract
The objective of this article is to review the literature on neuroimaging in small vessel disease. A review was carried out through the Pubmed search engine, without a filter of years, using terms such as: cerebral small vessel disease; white matter hyperintensity; brain microbleed; WBC. Small vessel disease is the most common vascular pathology. Its basis is in the affectation of the small cerebral vessels that eventually causes an alteration in the blood-brain barrier. Its clinical implication is highly relevant. Using magnetic resonance imaging, different expressions of the disease have been observed, such as white matter hyperintensities, microbleeds or lacunar infarcts. Other more recent techniques, such as brain blood flow measurements, are helping to increase understanding of the pathophysiology of this disease.
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Affiliation(s)
- L Mena Romo
- Complex Hospitalari Despí Moisès Broggi, Servicio de Neurología, Spain.
| | - M Gómez-Choco
- Complex Hospitalari Despí Moisès Broggi, Servicio de Neurología, Spain
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34
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Zhao Y, Zhu W, Wan T, Zhang X, Li Y, Huang Z, Xu P, Huang K, Ye R, Xie Y, Liu X. Vascular endothelium deploys caveolin-1 to regulate oligodendrogenesis after chronic cerebral ischemia in mice. Nat Commun 2022; 13:6813. [PMID: 36357389 PMCID: PMC9649811 DOI: 10.1038/s41467-022-34293-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 10/18/2022] [Indexed: 11/12/2022] Open
Abstract
Oligovascular coupling contributes to white matter vascular homeostasis. However, little is known about the effects of oligovascular interaction on oligodendrocyte precursor cell (OPC) changes in chronic cerebral ischemia. Here, using a mouse of bilateral carotid artery stenosis, we show a gradual accumulation of OPCs on vasculature with impaired oligodendrogenesis. Mechanistically, chronic ischemia induces a substantial loss of endothelial caveolin-1 (Cav-1), leading to vascular secretion of heat shock protein 90α (HSP90α). Endothelial-specific over-expression of Cav-1 or genetic knockdown of vascular HSP90α restores normal vascular-OPC interaction, promotes oligodendrogenesis and attenuates ischemic myelin damage. miR-3074(-1)-3p is identified as a direct inducer of Cav-1 reduction in mice and humans. Endothelial uptake of nanoparticle-antagomir improves myelin damage and cognitive deficits dependent on Cav-1. In summary, our findings demonstrate that vascular abnormality may compromise oligodendrogenesis and myelin regeneration through endothelial Cav-1, which may provide an intercellular mechanism in ischemic demyelination.
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Affiliation(s)
- Ying Zhao
- grid.41156.370000 0001 2314 964XDepartment of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000 China
| | - Wusheng Zhu
- grid.41156.370000 0001 2314 964XDepartment of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000 China
| | - Ting Wan
- grid.233520.50000 0004 1761 4404Department of Neurology, Xijing Hospital, Air Force Medical University, Xi’an, Shanxi 710032 China
| | - Xiaohao Zhang
- grid.89957.3a0000 0000 9255 8984Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000 China
| | - Yunzi Li
- grid.41156.370000 0001 2314 964XDepartment of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000 China
| | - Zhenqian Huang
- grid.41156.370000 0001 2314 964XDepartment of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000 China
| | - Pengfei Xu
- grid.59053.3a0000000121679639Stroke Center & Department of Neurology, The Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036 Anhui China
| | - Kangmo Huang
- grid.41156.370000 0001 2314 964XDepartment of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000 China
| | - Ruidong Ye
- grid.41156.370000 0001 2314 964XDepartment of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000 China
| | - Yi Xie
- grid.41156.370000 0001 2314 964XDepartment of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000 China
| | - Xinfeng Liu
- grid.41156.370000 0001 2314 964XDepartment of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000 China ,grid.59053.3a0000000121679639Stroke Center & Department of Neurology, The Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036 Anhui China
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Vikner T, Karalija N, Eklund A, Malm J, Lundquist A, Gallewicz N, Dahlin M, Lindenberger U, Riklund K, Bäckman L, Nyberg L, Wåhlin A. 5-Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions. Ann Neurol 2022; 92:871-881. [PMID: 36054261 PMCID: PMC9804392 DOI: 10.1002/ana.26475] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 08/01/2022] [Accepted: 08/01/2022] [Indexed: 01/05/2023]
Abstract
OBJECTIVE High cerebral arterial pulsatility index (PI), white matter lesions (WMLs), enlarged perivascular spaces (PVSs), and lacunar infarcts are common findings in the elderly population, and considered indicators of small vessel disease (SVD). Here, we investigate the potential temporal ordering among these variables, with emphasis on determining whether high PI is an early or delayed manifestation of SVD. METHODS In a population-based cohort, 4D flow MRI data for cerebral arterial pulsatility was collected for 159 participants at baseline (age 64-68), and for 122 participants at follow-up 5 years later. Structural MRI was used for WML and PVS segmentation, and lacune identification. Linear mixed-effects (LME) models were used to model longitudinal changes testing for pairwise associations, and latent change score (LCS) models to model multiple relationships among variables simultaneously. RESULTS Longitudinal 5-year increases were found for WML, PVS, and PI. Cerebral arterial PI at baseline did not predict changes in WML or PVS volume. However, WML and PVS volume at baseline predicted 5-year increases in PI. This was shown for PI increases in relation to baseline WML and PVS volumes using LME models (R ≥ 0.24; p < 0.02 and R ≥ 0.23; p < 0.03, respectively) and LCS models ( β = 0.28; p = 0.015 and β = 0.28; p = 0.009, respectively). Lacunes at baseline were unrelated to PI. INTERPRETATION In healthy older adults, indicators of SVD are related in a lead-lag fashion, in which the expression of WML and PVS precedes increases in cerebral arterial PI. Hence, we propose that elevated PI is a relatively late manifestation, rather than a risk factor, for cerebral SVD. ANN NEUROL 2022;92:871-881.
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Affiliation(s)
- Tomas Vikner
- Department of Radiation SciencesUmeå UniversityUmeåSweden
| | - Nina Karalija
- Department of Radiation SciencesUmeå UniversityUmeåSweden
- Umeå Center for Functional Brain Imaging (UFBI)Umeå UniversityUmeåSweden
| | - Anders Eklund
- Department of Radiation SciencesUmeå UniversityUmeåSweden
- Umeå Center for Functional Brain Imaging (UFBI)Umeå UniversityUmeåSweden
| | - Jan Malm
- Department of Clinical Science, NeurosciencesUmeå UniversityUmeåSweden
| | - Anders Lundquist
- Umeå Center for Functional Brain Imaging (UFBI)Umeå UniversityUmeåSweden
- Department of Statistics, USBEUmeå UniversityUmeåSweden
| | | | - Magnus Dahlin
- Department of Radiation SciencesUmeå UniversityUmeåSweden
| | - Ulman Lindenberger
- Center for Lifespan PsychologyMax Planck Institute for Human DevelopmentBerlinGermany
- Max PlanckUCL Centre for Computational Psychiatry and Ageing ResearchBerlinGermany
- Max PlanckUCL Centre for Computational Psychiatry and Ageing ResearchLondonUK
| | - Katrine Riklund
- Department of Radiation SciencesUmeå UniversityUmeåSweden
- Umeå Center for Functional Brain Imaging (UFBI)Umeå UniversityUmeåSweden
| | - Lars Bäckman
- Ageing Research CenterKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Lars Nyberg
- Department of Radiation SciencesUmeå UniversityUmeåSweden
- Umeå Center for Functional Brain Imaging (UFBI)Umeå UniversityUmeåSweden
- Department of Integrative Medical Biology (IMB)Umeå UniversityUmeåSweden
| | - Anders Wåhlin
- Department of Radiation SciencesUmeå UniversityUmeåSweden
- Umeå Center for Functional Brain Imaging (UFBI)Umeå UniversityUmeåSweden
- Department of Applied Physics and ElectronicsUmeå UniversityUmeåSweden
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36
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Low A, Prats-Sedano MA, McKiernan E, Carter SF, Stefaniak JD, Nannoni S, Su L, Dounavi ME, Muniz-Terrera G, Ritchie K, Lawlor B, Naci L, Malhotra P, Mackay C, Koychev I, Ritchie CW, Markus HS, O’Brien JT. Modifiable and non-modifiable risk factors of dementia on midlife cerebral small vessel disease in cognitively healthy middle-aged adults: the PREVENT-Dementia study. Alzheimers Res Ther 2022; 14:154. [PMID: 36224605 PMCID: PMC9554984 DOI: 10.1186/s13195-022-01095-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 09/29/2022] [Indexed: 11/07/2022]
Abstract
Background Considerable overlap exists between the risk factors of dementia and cerebral small vessel disease (SVD). However, studies remain limited to older cohorts wherein pathologies of both dementia (e.g. amyloid) and SVD (e.g. white matter hyperintensities) already co-exist. In younger asymptomatic adults, we investigated differential associations and interactions of modifiable and non-modifiable inherited risk factors of (future) late-life dementia to (present-day) mid-life SVD. Methods Cognitively healthy middle-aged adults (aged 40–59; mean 51.2 years) underwent 3T MRI (n = 630) as part of the PREVENT-Dementia study. To assess SVD, we quantified white matter hyperintensities, enlarged perivascular spaces, microbleeds, lacunes, and computed composite scores of SVD burden and subtypes of hypertensive arteriopathy and cerebral amyloid angiopathy (CAA). Non-modifiable (inherited) risk factors were APOE4 status and parental family history of dementia. Modifiable risk factors were derived from the 2020 Lancet Commission on dementia prevention (early/midlife: education, hypertension, obesity, alcohol, hearing impairment, head injuries). Confirmatory factor analysis (CFA) was used to evaluate the latent variables of SVD and risk factors. Structural equation modelling (SEM) of the full structural assessed associations of SVD with risk factors and APOE4*risk interaction. Results In SEM, the latent variable of global SVD related to the latent variable of modifiable midlife risk SVD (β = 0.80, p = .009) but not non-modifiable inherited risk factors of APOE4 or family history of dementia. Interaction analysis demonstrated that the effect of modifiable risk on SVD was amplified in APOE4 non-carriers (β = − 0.31, p = .009), rather than carriers. These associations and interaction effects were observed in relation to the SVD subtype of hypertensive arteriopathy, rather than CAA. Sensitivity analyses using separate general linear models validated SEM results. Conclusions Established modifiable risk factors of future (late-life) dementia related to present-day (mid-life) SVD, suggesting that early lifestyle modifications could potentially reduce rates of vascular cognitive impairment attributed to SVD, a major ‘silent’ contributor to global dementia cases. This association was amplified in APOE4 non-carriers, suggesting that lifestyle modifications could be effective even in those with genetic predisposition to dementia. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-01095-4.
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Affiliation(s)
- Audrey Low
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - Maria A. Prats-Sedano
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - Elizabeth McKiernan
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - Stephen F. Carter
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - James D. Stefaniak
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK ,grid.5335.00000000121885934Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Stefania Nannoni
- grid.5335.00000000121885934Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Li Su
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK ,grid.11835.3e0000 0004 1936 9262Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Maria-Eleni Dounavi
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK
| | - Graciela Muniz-Terrera
- grid.4305.20000 0004 1936 7988Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Karen Ritchie
- grid.4305.20000 0004 1936 7988Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK ,grid.457377.5INSERM, Montpellier, France
| | - Brian Lawlor
- grid.8217.c0000 0004 1936 9705Institute of Neuroscience, Trinity College Dublin, University of Dublin, Dublin, Ireland
| | - Lorina Naci
- grid.8217.c0000 0004 1936 9705Institute of Neuroscience, Trinity College Dublin, University of Dublin, Dublin, Ireland
| | - Paresh Malhotra
- grid.417895.60000 0001 0693 2181Division of Brain Science, Imperial College Healthcare NHS Trust, London, UK
| | - Clare Mackay
- grid.4991.50000 0004 1936 8948Department of Psychiatry, Oxford University, Oxford, UK
| | - Ivan Koychev
- grid.4991.50000 0004 1936 8948Department of Psychiatry, Oxford University, Oxford, UK
| | - Craig W. Ritchie
- grid.4305.20000 0004 1936 7988Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Hugh S. Markus
- grid.5335.00000000121885934Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - John T. O’Brien
- grid.5335.00000000121885934Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0SP UK ,grid.450563.10000 0004 0412 9303Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
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Huo Y, Wang Y, Guo C, Liu Q, Shan L, Liu M, Wu H, Li G, Lv H, Lu L, Zhou Y, Feng J, Han Y. Deep white matter hyperintensity is spatially correlated to MRI-visible perivascular spaces in cerebral small vessel disease on 7 Tesla MRI. Stroke Vasc Neurol 2022; 8:144-150. [PMID: 36170993 PMCID: PMC10176991 DOI: 10.1136/svn-2022-001611] [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: 03/29/2022] [Accepted: 09/14/2022] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND The association between perivascular space (PVS) and white matter hyperintensity (WMH) has been unclear. Normal-appearing white matter (NAWM) around WMH is also found correlated with the development of focal WMH. This study aims to investigate the topological connections among PVS, deep WMH (dWMH) and NAWM around WMH using 7 Tesla (7T) MRI. METHODS Thirty-two patients with non-confluent WMHs and 16 subjects without WMHs were recruited from our department and clinic. We compared the PVS burden between patients with and without WMHs using a 5-point scale. Then, the dilatation and the number of PVS within a radius of 1 cm around each dWMH were compared with those of a reference site (without WMH) in the contralateral hemisphere. In this study, we define NAWM as an area within the radius of 1 cm around each dWMH. Furthermore, we assessed the spatial relationship between dWMH and PVS. RESULTS Higher PVS scores in the centrum semiovale were found in patients with >5 dWMHs (median 3) than subjects without dWMH (median 2, p = 0.014). We found there was a greater dilatation and a higher number of PVS in NAWM around dWMH than at the reference sites (p<0.001, p<0.001). In addition, 79.59% of the dWMHs were spatially connected with PVS. CONCLUSION dWMH, NAWM surrounding WMH and MRI-visible PVS are spatially correlated in the early stage of cerebral small vessel disease. Future study of WMH and NAWM should not overlook MRI-visible PVS.
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Affiliation(s)
- Yajing Huo
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yilin Wang
- Georgetown Preparatory School, North Bethesda, Maryland, USA
| | - Cen Guo
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qianyun Liu
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Lili Shan
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Mingyuan Liu
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Haibo Wu
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Guanwu Li
- Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Huihui Lv
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Lingdan Lu
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yintin Zhou
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Yan Han
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Mayer C, Nägele FL, Petersen M, Frey BM, Hanning U, Pasternak O, Petersen E, Gerloff C, Thomalla G, Cheng B. Free-water diffusion MRI detects structural alterations surrounding white matter hyperintensities in the early stage of cerebral small vessel disease. J Cereb Blood Flow Metab 2022; 42:1707-1718. [PMID: 35410517 PMCID: PMC9441727 DOI: 10.1177/0271678x221093579] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
In cerebral small vessel disease (CSVD), both white matter hyperintensities (WMH) of presumed vascular origin and the normal-appearing white matter (NAWM) contain microstructural brain alterations on diffusion-weighted MRI (DWI). Contamination of DWI-derived metrics by extracellular free-water can be corrected with free-water (FW) imaging. We investigated the alterations in FW and FW-corrected fractional anisotropy (FA-t) in WMH and surrounding tissue and their association with cerebrovascular risk factors. We analysed 1,000 MRI datasets from the Hamburg City Health Study. DWI was used to generate FW and FA-t maps. WMH masks were segmented on FLAIR and T1-weighted MRI and dilated repeatedly to create 8 NAWM masks representing increasing distance from WMH. Linear models were applied to compare FW and FA-t across WMH and NAWM masks and in association with cerebrovascular risk. Median age was 64 ± 14 years. FW and FA-t were altered 8 mm and 12 mm beyond WMH, respectively. Smoking was significantly associated with FW in NAWM (p = 0.008) and FA-t in WMH (p = 0.008) and in NAWM (p = 0.003) while diabetes and hypertension were not. Further research is necessary to examine whether FW and FA-t alterations in NAWM are predictors for developing WMH.
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Affiliation(s)
- Carola Mayer
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Felix L Nägele
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marvin Petersen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Benedikt M Frey
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, USA.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, USA
| | - Elina Petersen
- Clinical for Cardiology, University Heart and Vascular Center, Germany.,Population Health Research Department, University Heart and Vascular Center, Hamburg, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Safri AA, Nassir CMNCM, Iman IN, Mohd Taib NH, Achuthan A, Mustapha M. Diffusion tensor imaging pipeline measures of cerebral white matter integrity: An overview of recent advances and prospects. World J Clin Cases 2022; 10:8450-8462. [PMID: 36157806 PMCID: PMC9453345 DOI: 10.12998/wjcc.v10.i24.8450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/20/2022] [Accepted: 07/17/2022] [Indexed: 02/05/2023] Open
Abstract
Cerebral small vessel disease (CSVD) is a leading cause of age-related microvascular cognitive decline, resulting in significant morbidity and decreased quality of life. Despite a progress on its key pathophysiological bases and general acceptance of key terms from neuroimaging findings as observed on the magnetic resonance imaging (MRI), key questions on CSVD remain elusive. Enhanced relationships and reliable lesion studies, such as white matter tractography using diffusion-based MRI (dMRI) are necessary in order to improve the assessment of white matter architecture and connectivity in CSVD. Diffusion tensor imaging (DTI) and tractography is an application of dMRI that provides data that can be used to non-invasively appraise the brain white matter connections via fiber tracking and enable visualization of individual patient-specific white matter fiber tracts to reflect the extent of CSVD-associated white matter damage. However, due to a lack of standardization on various sets of software or image pipeline processing utilized in this technique that driven mostly from research setting, interpreting the findings remain contentious, especially to inform an improved diagnosis and/or prognosis of CSVD for routine clinical use. In this minireview, we highlight the advances in DTI pipeline processing and the prospect of this DTI metrics as potential imaging biomarker for CSVD, even for subclinical CSVD in at-risk individuals.
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Affiliation(s)
- Amanina Ahmad Safri
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
| | - Che Mohd Nasril Che Mohd Nassir
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
| | - Ismail Nurul Iman
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
| | - Nur Hartini Mohd Taib
- Department of Radiology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
| | - Anusha Achuthan
- School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
| | - Muzaimi Mustapha
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
- Department of Neurosciences, Hospital Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
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40
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Gao Y, Li D, Lin J, Thomas AM, Miao J, Chen D, Li S, Chu C. Cerebral small vessel disease: Pathological mechanisms and potential therapeutic targets. Front Aging Neurosci 2022; 14:961661. [PMID: 36034144 PMCID: PMC9412755 DOI: 10.3389/fnagi.2022.961661] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Cerebral small vessel disease (CSVD) represents a diverse cluster of cerebrovascular diseases primarily affecting small arteries, capillaries, arterioles and venules. The diagnosis of CSVD relies on the identification of small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, and microbleeds using neuroimaging. CSVD is observed in 25% of strokes worldwide and is the most common pathology of cognitive decline and dementia in the elderly. Still, due to the poor understanding of pathophysiology in CSVD, there is not an effective preventative or therapeutic approach for CSVD. The most widely accepted approach to CSVD treatment is to mitigate vascular risk factors and adopt a healthier lifestyle. Thus, a deeper understanding of pathogenesis may foster more specific therapies. Here, we review the underlying mechanisms of pathological characteristics in CSVD development, with a focus on endothelial dysfunction, blood-brain barrier impairment and white matter change. We also describe inflammation in CSVD, whose role in contributing to CSVD pathology is gaining interest. Finally, we update the current treatments and preventative measures of CSVD, as well as discuss potential targets and novel strategies for CSVD treatment.
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Affiliation(s)
- Yue Gao
- Department of Neurointervention and Neurological Intensive Care, Dalian Municipal Central Hospital, Dalian, China
| | - Di Li
- Department of Neurointervention and Neurological Intensive Care, Dalian Municipal Central Hospital, Dalian, China
| | - Jianwen Lin
- Department of Neurology, Dalian Municipal Central Hospital, Dalian, China
| | - Aline M. Thomas
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institution, Baltimore, MD, United States
| | - Jianyu Miao
- Department of Neurology, Dalian Municipal Central Hospital, Dalian, China
| | - Dong Chen
- Department of Neurosurgery, Dalian Municipal Central Hospital, Dalian, China
| | - Shen Li
- Department of Neurology and Psychiatry, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chengyan Chu
- Department of Neurology, Dalian Municipal Central Hospital, Dalian, China
- *Correspondence: Chengyan Chu,
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García-García I, Michaud A, Jurado MÁ, Dagher A, Morys F. Mechanisms linking obesity and its metabolic comorbidities with cerebral grey and white matter changes. Rev Endocr Metab Disord 2022; 23:833-843. [PMID: 35059979 DOI: 10.1007/s11154-021-09706-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/14/2021] [Indexed: 02/07/2023]
Abstract
Obesity is a preventable risk factor for cerebrovascular disorders and it is associated with cerebral grey and white matter changes. Specifically, individuals with obesity show diminished grey matter volume and thickness, which seems to be more prominent among fronto-temporal regions in the brain. At the same time, obesity is associated with lower microstructural white matter integrity, and it has been found to precede increases in white matter hyperintensity load. To date, however, it is unclear whether these findings can be attributed solely to obesity or whether they are a consequence of cardiometabolic complications that often co-exist with obesity, such as low-grade systemic inflammation, hypertension, insulin resistance, or dyslipidemia. In this narrative review we aim to provide a comprehensive overview of the potential impact of obesity and a number of its cardiometabolic consequences on brain integrity, both separately and in synergy with each other. We also identify current gaps in knowledge and outline recommendations for future research.
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Affiliation(s)
- Isabel García-García
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Barcelona, Spain.
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.
| | | | - María Ángeles Jurado
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Alain Dagher
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Filip Morys
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
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Oestreich LKL, O'Sullivan MJ. Transdiagnostic In Vivo Magnetic Resonance Imaging Markers of Neuroinflammation. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:638-658. [PMID: 35051668 DOI: 10.1016/j.bpsc.2022.01.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 05/13/2023]
Abstract
Accumulating evidence suggests that inflammation is not limited to archetypal inflammatory diseases such as multiple sclerosis, but instead represents an intrinsic feature of many psychiatric and neurological disorders not typically classified as neuroinflammatory. A growing body of research suggests that neuroinflammation can be observed in early and prodromal stages of these disorders and, under certain circumstances, may lead to tissue damage. Traditional methods to assess neuroinflammation include serum or cerebrospinal fluid markers and positron emission tomography. These methods require invasive procedures or radiation exposure and lack the exquisite spatial resolution of magnetic resonance imaging (MRI). There is, therefore, an increasing interest in noninvasive neuroimaging tools to evaluate neuroinflammation reliably and with high specificity. While MRI does not provide information at a cellular level, it facilitates the characterization of several biophysical tissue properties that are closely linked to neuroinflammatory processes. The purpose of this review is to evaluate the potential of MRI as a noninvasive, accessible, and cost-effective technology to image neuroinflammation across neurological and psychiatric disorders. We provide an overview of current and developing MRI methods used to study different aspects of neuroinflammation and weigh their strengths and shortcomings. Novel MRI contrast agents are increasingly able to target inflammatory processes directly, therefore offering a high degree of specificity, particularly if used in conjunction with multitissue, biophysical diffusion MRI compartment models. The capability of these methods to characterize several aspects of the neuroinflammatory milieu will likely push MRI to the forefront of neuroimaging modalities used to characterize neuroinflammation transdiagnostically.
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Affiliation(s)
- Lena K L Oestreich
- Centre for Clinical Research, The University of Queensland, Brisbane, Queensland, Australia; Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia.
| | - Michael J O'Sullivan
- Centre for Clinical Research, The University of Queensland, Brisbane, Queensland, Australia; Institute of Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia; Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
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Libecap TJ, Zachariou V, Bauer CE, Wilcock DM, Jicha GA, Raslau FD, Gold BT. Enlarged Perivascular Spaces Are Negatively Associated With Montreal Cognitive Assessment Scores in Older Adults. Front Neurol 2022; 13:888511. [PMID: 35847209 PMCID: PMC9283758 DOI: 10.3389/fneur.2022.888511] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 06/06/2022] [Indexed: 11/30/2022] Open
Abstract
Emerging evidence suggests that enlarged perivascular spaces (ePVS) may be a clinically significant neuroimaging marker of global cognitive function related to cerebral small vessel disease (cSVD). We tested this possibility by assessing the relationship between ePVS and both a standardized measure of global cognitive function, the Montreal Cognitive Assessment (MoCA), and an established marker of cSVD, white matter hyperintensity volume (WMH) volume. One hundred and eleven community-dwelling older adults (56-86) underwent neuroimaging and MoCA testing. Quantification of region-specific ePVS burden was performed using a previously validated visual rating method and WMH volumes were computed using the standard ADNI pipeline. Separate linear regression models were run with ePVS as a predictor of MoCA scores and whole brain WMH volume. Results indicated a negative association between MoCA scores and both total ePVS counts (P ≤ 0.001) and centrum semiovale ePVS counts (P ≤ 0.001), after controlling for other relevant cSVD variables. Further, WMH volumes were positively associated with total ePVS (P = 0.010), basal ganglia ePVS (P ≤ 0.001), and centrum semiovale ePVS (P = 0.027). Our results suggest that ePVS burden, particularly in the centrum semiovale, may be a clinically significant neuroimaging marker of global cognitive dysfunction related to cSVD.
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Affiliation(s)
- Timothy J. Libecap
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Valentinos Zachariou
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Christopher E. Bauer
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Donna M. Wilcock
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Gregory A. Jicha
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States
- Department of Neurology, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Flavius D. Raslau
- Department of Radiology, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Brian T. Gold
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States
- Magnetic Resonance Imaging and Spectroscopy Center, College of Medicine, University of Kentucky, Lexington, KY, United States
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Kuipers S, Overmars LM, van Es B, de Bresser J, Bron EE, Hoefer IE, Kappelle LJ, Teunissen CE, Biessels GJ, Haitjema S. A cluster of blood-based protein biomarkers reflecting coagulation relates to the burden of cerebral small vessel disease. J Cereb Blood Flow Metab 2022; 42:1282-1293. [PMID: 35086368 PMCID: PMC9207498 DOI: 10.1177/0271678x221077339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Biological processes underlying cerebral small vessel disease (cSVD) are largely unknown. We hypothesized that identification of clusters of inter-related bood-based biomarkers that are associated with the burden of cSVD provides leads on underlying biological processes. In 494 participants (mean age 67.6 ± 8.7 years; 36% female; 75% cardiovascular diseases; 25% reference participants) we assessed the relation between 92 blood-based biomarkers from the OLINK cardiovascular III panel and cSVD, using cluster-based analyses. We focused particularly on white matter hyperintensities (WMH). Nineteen biomarkers individually correlated with WMH ratio (r range: 0.16-0.27, Bonferroni corrected p-values <0.05), of which sixteen biomarkers formed one biomarker cluster. Pathway analysis showed that this biomarker cluster predominantly reflected coagulation processes. This cluster related also significantly to other cSVD manifestations (lacunar infarcts, microbleeds, and enlarged perivascular spaces), which supports generalizability beyond WMHs. To study possible causal effects of biological processes reflected by the cluster we performed a mediation analysis that showed a mediation effect of the cluster on the relation between age and WMH ratio (proportion mediated 17%), and hypertension and WMH-volume (proportion mediated 21%). In conclusion, we identified a cluster of blood-based biomarkers reflecting coagulation, that is related to manifestations of cSVD, corroborating involvement of coagulation abnormalities in the etiology of cSVD.
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Affiliation(s)
- Sanne Kuipers
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - L Malin Overmars
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Bram van Es
- Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Esther E Bron
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Imo E Hoefer
- Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - L Jaap Kappelle
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, VrijeUniversiteit Amsterdam, Amsterdam, the Netherlands
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Saskia Haitjema
- Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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Montagne A, Barnes SR, Nation DA, Kisler K, Toga AW, Zlokovic BV. Imaging subtle leaks in the blood-brain barrier in the aging human brain: potential pitfalls, challenges, and possible solutions. GeroScience 2022; 44:1339-1351. [PMID: 35469116 PMCID: PMC9213625 DOI: 10.1007/s11357-022-00571-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/10/2022] [Indexed: 02/06/2023] Open
Abstract
Recent studies using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with gadolinium-based contrast agents (GBCA) have demonstrated subtle blood-brain barrier (BBB) leaks in the human brain during normal aging, in individuals with age-related cognitive dysfunction, genetic risk for Alzheimer's disease (AD), mild cognitive impairment, early AD, cerebral small vessel disease (SVD), and other neurodegenerative disorders. In these neurological conditions, the BBB leaks, quantified by the unidirectional BBB GBCA tracer's constant Ktrans maps, are typically orders of magnitude lower than in brain tumors, after stroke and/or during relapsing episodes of multiple sclerosis. This puts extra challenges for the DCE-MRI technique by pushing calculations towards its lower limits of detectability. In addition, presently, there are no standardized multivendor protocols or evidence of repeatability and reproducibility. Nevertheless, subtle BBB leaks may critically contribute to the pathophysiology of cognitive impairment and dementia associated with AD or SVD, and therefore, efforts to improve sensitivity of detection, reliability, and reproducibility are warranted. A larger number of participants scanned by different MR scanners at different clinical sites are sometimes required to detect differences in BBB integrity between control and at-risk groups, which impose additional challenges. Here, we focus on these new challenges and propose some approaches to normalize and harmonize DCE data between different scanners. In brief, we recommend specific regions to be used for the tracer's vascular input function and DCE data processing and how to find and correct negative Ktrans values that are physiologically impossible. We hope this information will prove helpful to new investigators wishing to study subtle BBB damage in neurovascular and neurodegenerative conditions and in the aging human brain.
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Affiliation(s)
- Axel Montagne
- UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
| | - Samuel R Barnes
- Department of Radiology, Loma Linda University, Loma Linda, CA, USA.
| | - Daniel A Nation
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine, CA, USA
- Department of Psychological Science, University of California Irvine, Irvine, CA, USA
| | - Kassandra Kisler
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Arthur W Toga
- Laboratory of Neuroimaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Berislav V Zlokovic
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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46
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Daily blood pressure profile and blood-brain barrier permeability in patients with cerebral small vessel disease. Sci Rep 2022; 12:7723. [PMID: 35545641 PMCID: PMC9095696 DOI: 10.1038/s41598-022-11172-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 04/19/2022] [Indexed: 11/23/2022] Open
Abstract
Cerebral small vessel disease (CSVD) plays an important role in cognitive impairment, stroke, disability, and death. Hypertension is the main risk factor for CSVD. The use of antihypertensive therapy has not resulted in the expected decrease in CSVD complications, which may be related to the underestimation of significance of daily blood pressure profile for blood–brain barrier (BBB) permeability. 53 patients with CSVD of varying severity (mean age 60.08 ± 6.8 years, 69.8% women, subjects with treated long-standing hypertension vs. normotensive subjects − 84.8% vs. 15.2%) and 17 healthy volunteers underwent ambulatory blood pressure monitoring (ABPM) and MRI, including T1-weighted dynamic contrast-enhanced magnetic resonance imaging for assessing BBB permeability. Most of ABPM parameters in CSVD patients did not differ from controls, but were associated with the severity of white matter hyperintensity (WMH) and the total CSVD score. BBB permeability in normal-appearing white matter (NAWM) and grey matter (GM) was significantly higher in CSVD patients, and the severity of BBB permeability remained similar in patients with different stages of WMH. Among BBB permeability parameters, the area under the curve, corresponding to an increase in the contrast transit time in NAWM, had the greatest number of correlations with deviations of ABPM parameters. BBB permeability in CSVD is a universal mechanism of NAWM and GM damage associated with a slight increase in ABPM parameters. It is obvious that the treatment of hypertension in patients with not severe WMH should be more aggressive and carried out under the control of ABPM.
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47
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Zhou R, Qian S, Cho WCS, Zhou J, Jin C, Zhong Y, Wang J, Zhang X, Xu Z, Tian M, Chan LWC, Zhang H. Microbiota-microglia connections in age-related cognition decline. Aging Cell 2022; 21:e13599. [PMID: 35349746 PMCID: PMC9124309 DOI: 10.1111/acel.13599] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/08/2022] [Accepted: 03/13/2022] [Indexed: 12/13/2022] Open
Abstract
Aging is an inevitable process that all individuals experience, of which the extent differs among individuals. It has been recognized as the risk factor of neurodegenerative diseases by affecting gut microbiota compositions, microglia, and cognition abilities. Aging‐induced changes in gut microbiota compositions have a critical role in orchestrating the morphology and functions of microglia through the gut‐brain axis. Gut microbiota communicates with microglia by its secreted metabolites and neurotransmitters. This is highly associated with age‐related cognitive declines. Here, we review the main composition of microbiota in the aged individuals, outline the changes of the brain in age‐related cognitive decline from a neuroinflammation perspective, especially the changes of morphology and functions of microglia, discuss the crosstalk between microbiota and microglia in the aged brain and further highlight the role of microbiota‐microglia connections in neurodegenerative diseases (Alzheimer's disease and Parkinson's disease).
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Affiliation(s)
- Rui Zhou
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR China
| | - Shufang Qian
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
| | - William C. S. Cho
- Department of Clinical Oncology Queen Elizabeth Hospital Hong Kong SAR China
| | - Jinyun Zhou
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
| | - Chentao Jin
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
| | - Yan Zhong
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
| | - Jing Wang
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
| | - Xiaohui Zhang
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
| | - Zhoujiao Xu
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
| | - Mei Tian
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
| | - Lawrence W. C. Chan
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR China
| | - Hong Zhang
- Department of Nuclear Medicine and Medical PET Center The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
- Key Laboratory for Biomedical Engineering of Ministry of Education Zhejiang University Hangzhou China
- The College of Biomedical Engineering and Instrument Science of Zhejiang University Hangzhou China
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48
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Biesbroek JM, Weaver NA, Aben HP, Kuijf HJ, Abrigo J, Bae HJ, Barbay M, Best JG, Bordet R, Chappell FM, Chen CPLH, Dondaine T, van der Giessen RS, Godefroy O, Gyanwali B, Hamilton OKL, Hilal S, Huenges Wajer IMC, Kang Y, Kappelle LJ, Kim BJ, Köhler S, de Kort PLM, Koudstaal PJ, Kuchcinski G, Lam BYK, Lee BC, Lee KJ, Lim JS, Lopes R, Makin SDJ, Mendyk AM, Mok VCT, Oh MS, van Oostenbrugge RJ, Roussel M, Shi L, Staals J, Valdés-Hernández MDC, Venketasubramanian N, Verhey FRJ, Wardlaw JM, Werring DJ, Xin X, Yu KH, van Zandvoort MJE, Zhao L, Biessels GJ. Network impact score is an independent predictor of post-stroke cognitive impairment: A multicenter cohort study in 2341 patients with acute ischemic stroke. Neuroimage Clin 2022; 34:103018. [PMID: 35504223 PMCID: PMC9079101 DOI: 10.1016/j.nicl.2022.103018] [Citation(s) in RCA: 4] [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: 12/21/2021] [Revised: 03/14/2022] [Accepted: 04/22/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Post-stroke cognitive impairment (PSCI) is a common consequence of stroke. Accurate prediction of PSCI risk is challenging. The recently developed network impact score, which integrates information on infarct location and size with brain network topology, may improve PSCI risk prediction. AIMS To determine if the network impact score is an independent predictor of PSCI, and of cognitive recovery or decline. METHODS We pooled data from patients with acute ischemic stroke from 12 cohorts through the Meta VCI Map consortium. PSCI was defined as impairment in ≥ 1 cognitive domain on neuropsychological examination, or abnormal Montreal Cognitive Assessment. Cognitive recovery was defined as conversion from PSCI < 3 months post-stroke to no PSCI at follow-up, and cognitive decline as conversion from no PSCI to PSCI. The network impact score was related to serial measures of PSCI using Generalized Estimating Equations (GEE) models, and to PSCI stratified according to post-stroke interval (<3, 3-12, 12-24, >24 months) and cognitive recovery or decline using logistic regression. Models were adjusted for age, sex, education, prior stroke, infarct volume, and study site. RESULTS We included 2341 patients with 4657 cognitive assessments. PSCI was present in 398/844 patients (47%) <3 months, 709/1640 (43%) at 3-12 months, 243/853 (28%) at 12-24 months, and 208/522 (40%) >24 months. Cognitive recovery occurred in 64/181 (35%) patients and cognitive decline in 26/287 (9%). The network impact score predicted PSCI in the univariable (OR 1.50, 95%CI 1.34-1.68) and multivariable (OR 1.27, 95%CI 1.10-1.46) GEE model, with similar ORs in the logistic regression models for specified post-stroke intervals. The network impact score was not associated with cognitive recovery or decline. CONCLUSIONS The network impact score is an independent predictor of PSCI. As such, the network impact score may contribute to a more precise and individualized cognitive prognostication in patients with ischemic stroke. Future studies should address if multimodal prediction models, combining the network impact score with demographics, clinical characteristics and other advanced brain imaging biomarkers, will provide accurate individualized prediction of PSCI. A tool for calculating the network impact score is freely available at https://metavcimap.org/features/software-tools/lsm-viewer/.
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Affiliation(s)
- J Matthijs Biesbroek
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands.
| | - Nick A Weaver
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Hugo P Aben
- Department of Neurology, Elisabeth Tweesteden Hospital, Tilburg, the Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jill Abrigo
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Mélanie Barbay
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences (UR UPJV 4559), Jules Verne Picardy University, 80054 Amiens Cedex, France
| | - Jonathan G Best
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Russell Square House, 10 - 12 Russell Square, London WC1B 5EH, UK
| | - Régis Bordet
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | - Francesca M Chappell
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Christopher P L H Chen
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Thibaut Dondaine
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | | | - Olivier Godefroy
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences (UR UPJV 4559), Jules Verne Picardy University, 80054 Amiens Cedex, France
| | - Bibek Gyanwali
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Olivia K L Hamilton
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Irene M C Huenges Wajer
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands
| | - Yeonwook Kang
- Department of Psychology, Hallym University, Chuncheon, South Korea
| | - L Jaap Kappelle
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Paul L M de Kort
- Department of Neurology, Elisabeth Tweesteden Hospital, Tilburg, the Netherlands
| | - Peter J Koudstaal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Gregory Kuchcinski
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | - Bonnie Y K Lam
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Margaret Kam Ling Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Byung-Chul Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Renaud Lopes
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | | | - Anne-Marie Mendyk
- Université Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | - Vincent C T Mok
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, Margaret Kam Ling Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, South Korea
| | | | - Martine Roussel
- Department of Neurology, Amiens University Hospital, Laboratory of Functional Neurosciences (UR UPJV 4559), Jules Verne Picardy University, 80054 Amiens Cedex, France
| | - Lin Shi
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China; BrainNow Research Institute, Shenzhen, Guangdong Province, China
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Maria Del C Valdés-Hernández
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | | | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Joanna M Wardlaw
- Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Russell Square House, 10 - 12 Russell Square, London WC1B 5EH, UK
| | - Xu Xin
- Department of Pharmacology, National University of Singapore, Singapore, Singapore; Memory, Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, South Korea
| | - Martine J E van Zandvoort
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands
| | - Lei Zhao
- BrainNow Research Institute, Shenzhen, Guangdong Province, China
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht, the Netherlands
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49
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Sliz E, Shin J, Ahmad S, Williams DM, Frenzel S, Gauß F, Harris SE, Henning AK, Hernandez MV, Hu YH, Jiménez B, Sargurupremraj M, Sudre C, Wang R, Wittfeld K, Yang Q, Wardlaw JM, Völzke H, Vernooij MW, Schott JM, Richards M, Proitsi P, Nauck M, Lewis MR, Launer L, Hosten N, Grabe HJ, Ghanbari M, Deary IJ, Cox SR, Chaturvedi N, Barnes J, Rotter JI, Debette S, Ikram MA, Fornage M, Paus T, Seshadri S, Pausova Z. Circulating Metabolome and White Matter Hyperintensities in Women and Men. Circulation 2022; 145:1040-1052. [PMID: 35050683 PMCID: PMC9645366 DOI: 10.1161/circulationaha.121.056892] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/02/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND White matter hyperintensities (WMH), identified on T2-weighted magnetic resonance images of the human brain as areas of enhanced brightness, are a major risk factor of stroke, dementia, and death. There are no large-scale studies testing associations between WMH and circulating metabolites. METHODS We studied up to 9290 individuals (50.7% female, average age 61 years) from 15 populations of 8 community-based cohorts. WMH volume was quantified from T2-weighted or fluid-attenuated inversion recovery images or as hypointensities on T1-weighted images. Circulating metabolomic measures were assessed with mass spectrometry and nuclear magnetic resonance spectroscopy. Associations between WMH and metabolomic measures were tested by fitting linear regression models in the pooled sample and in sex-stratified and statin treatment-stratified subsamples. Our basic models were adjusted for age, sex, age×sex, and technical covariates, and our fully adjusted models were also adjusted for statin treatment, hypertension, type 2 diabetes, smoking, body mass index, and estimated glomerular filtration rate. Population-specific results were meta-analyzed using the fixed-effect inverse variance-weighted method. Associations with false discovery rate (FDR)-adjusted P values (PFDR)<0.05 were considered significant. RESULTS In the meta-analysis of results from the basic models, we identified 30 metabolomic measures associated with WMH (PFDR<0.05), 7 of which remained significant in the fully adjusted models. The most significant association was with higher level of hydroxyphenylpyruvate in men (PFDR.full.adj=1.40×10-7) and in both the pooled sample (PFDR.full.adj=1.66×10-4) and statin-untreated (PFDR.full.adj=1.65×10-6) subsample. In men, hydroxyphenylpyruvate explained 3% to 14% of variance in WMH. In men and the pooled sample, WMH were also associated with lower levels of lysophosphatidylcholines and hydroxysphingomyelins and a larger diameter of low-density lipoprotein particles, likely arising from higher triglyceride to total lipids and lower cholesteryl ester to total lipids ratios within these particles. In women, the only significant association was with higher level of glucuronate (PFDR=0.047). CONCLUSIONS Circulating metabolomic measures, including multiple lipid measures (eg, lysophosphatidylcholines, hydroxysphingomyelins, low-density lipoprotein size and composition) and nonlipid metabolites (eg, hydroxyphenylpyruvate, glucuronate), associate with WMH in a general population of middle-aged and older adults. Some metabolomic measures show marked sex specificities and explain a sizable proportion of WMH variance.
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Affiliation(s)
- Eeva Sliz
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Jean Shin
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Dylan M. Williams
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Friederike Gauß
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sarah E. Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ann-Kristin Henning
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Maria Valdes Hernandez
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Yi-Han Hu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Beatriz Jiménez
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - Carole Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London
- School of Biomedical Engineering & Imaging Sciences, King’s College London
| | - Ruiqi Wang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, and Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Petroula Proitsi
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthew R. Lewis
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Ian J. Deary
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Simon R. Cox
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Myriam Fornage
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, USA
| | - Tomas Paus
- Departments of Psychiatry and Neuroscience and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- ECOGENE-21, Chicoutimi, QC, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
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Kettunen P, Bjerke M, Eckerström C, Jonsson M, Zetterberg H, Blennow K, Svensson J, Wallin A. Blood-brain barrier dysfunction and reduced cerebrospinal fluid levels of soluble amyloid precursor protein-β in patients with subcortical small-vessel disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12296. [PMID: 35356486 PMCID: PMC8949877 DOI: 10.1002/dad2.12296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 01/13/2022] [Accepted: 01/30/2022] [Indexed: 11/30/2022]
Abstract
Introduction Subcortical small-vessel disease (SSVD) is the most common vascular cognitive disorder. However, because no disease-specific cerebrospinal fluid (CSF) biomarkers are available for SSVD, our aim was to identify such markers. Methods We included 170 healthy controls and patients from the Gothenburg Mild Cognitive Impairment (MCI) study clinically diagnosed with SSVD dementia, Alzheimer's disease (AD), or mixed AD/SSVD. We quantified CSF levels of amyloid-β (Aβ)x-38, Aβx-40, Aβx-42, as well as soluble amyloid precursor protein (sAPP)-α and sAPP-β. Results sAPP-β was lower in SSVD patients than in AD patients and controls. Receiver-operating characteristic (ROC) analyses showed that sAPP-β moderately separated SSVD from AD and controls. Moreover, the CSF/serum albumin ratio was elevated exclusively in SSVD and could moderately separate SSVD from the other groups in ROC analyses. Discussion SSVD has a biomarker profile that differs from that of AD and controls, and to some extent also from mixed AD/SSVD, suggesting that signs of blood-brain barrier (BBB) dysfunction and sAPP-β could be additional tools to diagnose SSVD. Highlights Patients with subcortical small-vessel disease (SSVD) exhibited reduced levels of sAPP-β and disturbances of the blood-brain barrier (BBB).This biochemical pattern is different from that of Alzheimer's disease (AD) and to some degree from that of mixed AD/SSVD.Our findings are speaking in favor of the concept that SSVD is a distinct vascular cognitive disorder (VCD) form.
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Affiliation(s)
- Petronella Kettunen
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Maria Bjerke
- Laboratory of Neurochemistry, Department of Clinical Biology and Center for NeurosciencesUniversitair Ziekenhuis BrusselBrusselsBelgium
- Department of Biomedical SciencesInstitute Born‐BungeUniversity of AntwerpAntwerpBelgium
| | - Carl Eckerström
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Immunology and Transfusion MedicineSahlgrenska University HospitalGothenburgSweden
| | - Michael Jonsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Johan Svensson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Region Västra Götaland, Department of Internal MedicineSkaraborg Central HospitalSkövdeSweden
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
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