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Tayler HM, Skrobot OA, Baron DH, Kehoe PG, Miners JS. Dysregulation of the renin-angiotensin system in vascular dementia. Brain Pathol 2024; 34:e13251. [PMID: 38454306 PMCID: PMC11189771 DOI: 10.1111/bpa.13251] [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: 10/06/2023] [Accepted: 02/07/2024] [Indexed: 03/09/2024] Open
Abstract
The renin-angiotensin system (RAS) regulates systemic and cerebral blood flow and is dysregulated in dementia. The major aim of this study was to determine if RAS signalling is dysregulated in vascular dementia. We measured markers of RAS signalling in white matter underlying the frontal and occipital cortex in neuropathologically confirmed cases of vascular dementia (n = 42), Alzheimer's disease (n = 50), mixed AD/VaD (n = 50) and age-matched controls (n = 50). All cases were stratified according to small vessel disease (SVD) severity across both regions. ACE-1 and ACE-2 protein and activity was measured by ELISA and fluorogenic peptide assays respectively, and angiotensin peptide (Ang-II, Ang-III and Ang-(1-7)) levels were measured by ELISA. ACE-1 protein level and enzyme activity, and Ang-II and Ang-III, were elevated in the white matter in vascular dementia in relation to SVD severity. ACE-1 and Ang-II protein levels were inversely related to MAG:PLP1 ratio, a biochemical marker of brain tissue oxygenation that when reduced indicates cerebral hypoperfusion, in a subset of cases. ACE-2 level was elevated in frontal white matter in vascular dementia. Ang-(1-7) level was elevated across all dementia groups compared to age-matched controls but was not related to SVD severity. RAS signalling was not altered in the white matter in Alzheimer's disease. In the overlying frontal cortex, ACE-1 protein was reduced and ACE-2 protein increased in vascular dementia, whereas angiotensin peptide levels were unchanged. These data indicate that RAS signalling is dysregulated in the white matter in vascular dementia and may contribute to the pathogenesis of small vessel disease.
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Affiliation(s)
- H. M. Tayler
- Dementia Research Group, Bristol Medical SchoolUniversity of BristolBristolUK
| | - O. A. Skrobot
- Dementia Research Group, Bristol Medical SchoolUniversity of BristolBristolUK
| | - D. H. Baron
- Dementia Research Group, Bristol Medical SchoolUniversity of BristolBristolUK
| | - P. G. Kehoe
- Dementia Research Group, Bristol Medical SchoolUniversity of BristolBristolUK
| | - J. S. Miners
- Dementia Research Group, Bristol Medical SchoolUniversity of BristolBristolUK
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2
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Nyúl-Tóth Á, Patai R, Csiszar A, Ungvari A, Gulej R, Mukli P, Yabluchanskiy A, Benyo Z, Sotonyi P, Prodan CI, Liotta EM, Toth P, Elahi F, Barsi P, Maurovich-Horvat P, Sorond FA, Tarantini S, Ungvari Z. Linking peripheral atherosclerosis to blood-brain barrier disruption: elucidating its role as a manifestation of cerebral small vessel disease in vascular cognitive impairment. GeroScience 2024:10.1007/s11357-024-01194-0. [PMID: 38831182 DOI: 10.1007/s11357-024-01194-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 05/06/2024] [Indexed: 06/05/2024] Open
Abstract
Aging plays a pivotal role in the pathogenesis of cerebral small vessel disease (CSVD), contributing to the onset and progression of vascular cognitive impairment and dementia (VCID). In older adults, CSVD often leads to significant pathological outcomes, including blood-brain barrier (BBB) disruption, which in turn triggers neuroinflammation and white matter damage. This damage is frequently observed as white matter hyperintensities (WMHs) in neuroimaging studies. There is mounting evidence that older adults with atherosclerotic vascular diseases, such as peripheral artery disease, ischemic heart disease, and carotid artery stenosis, face a heightened risk of developing CSVD and VCID. This review explores the complex relationship between peripheral atherosclerosis, the pathogenesis of CSVD, and BBB disruption. It explores the continuum of vascular aging, emphasizing the shared pathomechanisms that underlie atherosclerosis in large arteries and BBB disruption in the cerebral microcirculation, exacerbating both CSVD and VCID. By reviewing current evidence, this paper discusses the impact of endothelial dysfunction, cellular senescence, inflammation, and oxidative stress on vascular and neurovascular health. This review aims to enhance understanding of these complex interactions and advocate for integrated approaches to manage vascular health, thereby mitigating the risk and progression of CSVD and VCID.
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Affiliation(s)
- Ádám Nyúl-Tóth
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary
| | - Roland Patai
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Anna Csiszar
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
| | - Anna Ungvari
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary.
| | - Rafal Gulej
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Peter Mukli
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Doctoral College/Department of Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
| | - Zoltan Benyo
- Institute of Translational Medicine, Semmelweis University, 1094, Budapest, Hungary
- Cerebrovascular and Neurocognitive Disorders Research Group, HUN-REN, Semmelweis University, 1094, Budapest, Hungary
| | - Peter Sotonyi
- Department of Vascular and Endovascular Surgery, Heart and Vascular Centre, Semmelweis University, 1122, Budapest, Hungary
| | - Calin I Prodan
- Veterans Affairs Medical Center, Oklahoma City, OK, USA
- Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Eric M Liotta
- Doctoral College/Department of Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
- Department of Neurology, Division of Stroke and Neurocritical Care, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Peter Toth
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Pecs, Hungary
- Neurotrauma Research Group, Szentagothai Research Centre, University of Pecs, Pecs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, University of Pecs, Pecs, Hungary
| | - Fanny Elahi
- Departments of Neurology and Neuroscience Ronald M. Loeb Center for Alzheimer's Disease Friedman Brain Institute Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Bronx, NY, USA
| | - Péter Barsi
- ELKH-SE Cardiovascular Imaging Research Group, Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Pál Maurovich-Horvat
- ELKH-SE Cardiovascular Imaging Research Group, Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Farzaneh A Sorond
- Department of Neurology, Division of Stroke and Neurocritical Care, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Stefano Tarantini
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Doctoral College/Department of Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
| | - Zoltan Ungvari
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Doctoral College/Department of Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
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Zahr NM, Pfefferbaum A. Serum albumin and white matter hyperintensities. Transl Psychiatry 2024; 14:233. [PMID: 38824150 PMCID: PMC11144249 DOI: 10.1038/s41398-024-02953-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 05/15/2024] [Accepted: 05/20/2024] [Indexed: 06/03/2024] Open
Abstract
People living with HIV and those diagnosed with alcohol use disorders (AUD) relative to healthy individuals commonly have low levels of serum albumin, substantiated as an independent predictor of cardiovascular events. White matter hyperintensities (WMH)-a neuroimaging feature of cerebral small vessel disease-are also related to cardiovascular disease. Despite consensus regarding associations between high levels of urine albumin and WMH prevalence, and low serum albumin levels and impaired cognitive functioning, relations between serum albumin and WMH burdens have rarely been evaluated. Here, a sample including 160 individuals with AUD, 142 living with HIV, and 102 healthy controls was used to test the hypothesis that serum albumin would be inversely related to WMH volumes and directly related to cognitive performance in the two diagnostic groups. Although serum albumin and periventricular WMH volumes showed an inverse relationship in both AUD and HIV groups, this relationship persisted only in the HIV group after consideration of traditional cardiovascular (i.e., age, sex, body mass index (BMI), nicotine use, hypertension, diabetes), study-relevant (i.e., race, socioeconomic status, hepatitis C virus status), and disease-specific (i.e., CD4 nadir, HIV viral load, HIV duration) factors. Further, serum albumin contributed more significantly than periventricular WMH volume to variance in performance on a verbal learning and memory composite score in the HIV group only. Relations in both HIV and AUD groups between albumin and hematological red blood cell markers (e.g., hemoglobin, hematocrit) suggest that in this sample, serum albumin reflects hematological abnormalities. Albumin, a simple serum biomarker available in most clinical settings, may therefore help identify periventricular WMH burden and performance levels in specific cognitive domains in people living with HIV. Whether serum albumin contributes mechanistically to periventricular WMH in HIV will require additional investigation.
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Affiliation(s)
- Natalie M Zahr
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
- Neuroscience Program, SRI International, Menlo Park, CA, USA.
| | - Adolf Pfefferbaum
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Neuroscience Program, SRI International, Menlo Park, CA, USA
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Dupré N, Drieu A, Joutel A. Pathophysiology of cerebral small vessel disease: a journey through recent discoveries. J Clin Invest 2024; 134:e172841. [PMID: 38747292 PMCID: PMC11093606 DOI: 10.1172/jci172841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2024] Open
Abstract
Cerebral small vessel disease (cSVD) encompasses a heterogeneous group of age-related small vessel pathologies that affect multiple regions. Disease manifestations range from lesions incidentally detected on neuroimaging (white matter hyperintensities, small deep infarcts, microbleeds, or enlarged perivascular spaces) to severe disability and cognitive impairment. cSVD accounts for approximately 25% of ischemic strokes and the vast majority of spontaneous intracerebral hemorrhage and is also the most important vascular contributor to dementia. Despite its high prevalence and potentially long therapeutic window, there are still no mechanism-based treatments. Here, we provide an overview of the recent advances in this field. We summarize recent data highlighting the remarkable continuum between monogenic and multifactorial cSVDs involving NOTCH3, HTRA1, and COL4A1/A2 genes. Taking a vessel-centric view, we discuss possible cause-and-effect relationships between risk factors, structural and functional vessel changes, and disease manifestations, underscoring some major knowledge gaps. Although endothelial dysfunction is rightly considered a central feature of cSVD, the contributions of smooth muscle cells, pericytes, and other perivascular cells warrant continued investigation.
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Affiliation(s)
- Nicolas Dupré
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, France
| | - Antoine Drieu
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, France
| | - Anne Joutel
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, France
- GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, Paris, France
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5
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Sullivan EV, Zahr NM, Zhao Q, Pohl KM, Sassoon SA, Pfefferbaum A. Contributions of Cerebral White Matter Hyperintensities to Postural Instability in Aging With and Without Alcohol Use Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00083-1. [PMID: 38569932 DOI: 10.1016/j.bpsc.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/29/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND Both postural instability and brain white matter hyperintensities (WMHs) are noted markers of normal aging and alcohol use disorder (AUD). Here, we questioned what variables contribute to the sway path-WMH relationship in individuals with AUD and healthy control participants. METHODS The data comprised 404 balance platform sessions, yielding sway path length and magnetic resonance imaging data acquired cross-sectionally or longitudinally in 102 control participants and 158 participants with AUD ages 25 to 80 years. Balance sessions were typically conducted on the same day as magnetic resonance imaging fluid-attenuated inversion recovery acquisitions, permitting WMH volume quantification. Factors considered in multiple regression analyses as potential contributors to the relationship between WMH volumes and postural instability were age, sex, socioeconomic status, education, pedal 2-point discrimination, systolic and diastolic blood pressure, body mass index, depressive symptoms, total alcohol consumed in the past year, and race. RESULTS Initial analysis identified diagnosis, age, sex, and race as significant contributors to observed sway path-WMH relationships. Inclusion of these factors as predictors in multiple regression analyses substantially attenuated the sway path-WMH relationships in both AUD and healthy control groups. Women, irrespective of diagnosis or race, had shorter sway paths than men. Black participants, irrespective of diagnosis or sex, had shorter sway paths than non-Black participants despite having modestly larger WMH volumes than non-Black participants, which is possibly a reflection of the younger age of the Black sample. CONCLUSIONS Longer sway paths were related to larger WMH volumes in healthy men and women with and without AUD. Critically, however, age almost fully accounted for these associations.
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Affiliation(s)
- Edith V Sullivan
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California.
| | - Natalie M Zahr
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California; Center for Health Sciences, SRI International, Menlo Park, California
| | - Qingyu Zhao
- Department of Radiology, Weill Cornell Medicine, New York, New York
| | - Kilian M Pohl
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Stephanie A Sassoon
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California; Center for Health Sciences, SRI International, Menlo Park, California
| | - Adolf Pfefferbaum
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California; Center for Health Sciences, SRI International, Menlo Park, California
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6
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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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Hemminghyth MS, Chwiszczuk LJ, Breitve MH, Gísladóttir B, Grøntvedt GR, Nakling A, Rongve A, Fladby T, Kirsebom BE. Cerebrospinal fluid neurofilament light chain mediates age-associated lower learning and memory in healthy adults. Neurobiol Aging 2024; 135:39-47. [PMID: 38159464 DOI: 10.1016/j.neurobiolaging.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 12/15/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
Multiple cognitive domains, including learning, memory, and psychomotor speed, show significant reductions with age. Likewise, several cerebrospinal fluid (CSF) neurodegenerative biomarkers, including total tau (t-tau, a marker of neuronal body injury) and neurofilament light chain (NfL, a marker of axonal injury) show age-related increases in normal aging. In the current study, we aimed to investigate whether the age-effect within different cognitive domains was mediated by age-associated CSF markers for neurodegenerative changes. We fitted 10 mediation models using structural equation modeling to investigate this in a cohort of 137 healthy adults, aged 40-80 years, from the Norwegian Dementia Disease Initiation (DDI) study. Here, t-tau and NfL were defined as mediators between age and different cognitive tests. The models showed that NfL mediated the age-effect for CERAD learning and memory recall (learning: β = -0.395, p < 0.05; recall: β = -0.261, p < 0.01). No such effect was found in the other models. Our findings suggest that the age-related lower performance in verbal learning and memory may be linked to NfL-associated neurodegenerative changes in cognitively healthy adults.
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Affiliation(s)
- Mathilde Suhr Hemminghyth
- Department of Research and Innovation, Research Group for Age-Related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Neuropsychology, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway.
| | - Luiza Jadwiga Chwiszczuk
- Department of Research and Innovation, Research Group for Age-Related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Age-related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway
| | - Monica Haraldseid Breitve
- Department of Research and Innovation, Research Group for Age-Related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Neuropsychology, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Age-related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway
| | - Berglind Gísladóttir
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Clinical Molecular Biology (EpiGen), Medical Division, Akershus University Hospital and University of Oslo, Norway
| | - Gøril Rolfseng Grøntvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Arne Nakling
- Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway
| | - Arvid Rongve
- Department of Research and Innovation, Research Group for Age-Related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway; Department of Age-related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Bjørn-Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway; Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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8
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Pfefferbaum A, Zhao Q, Pohl KM, Sassoon SA, Zahr NM, Sullivan EV. Age-Accelerated Increase of White Matter Hyperintensity Volumes Is Exacerbated by Heavy Alcohol Use in People Living With HIV. Biol Psychiatry 2024; 95:231-244. [PMID: 37597798 PMCID: PMC10840832 DOI: 10.1016/j.biopsych.2023.07.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/13/2023] [Accepted: 07/30/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND Antiretroviral treatment has enabled people living with HIV infection to have a near-normal life span. With longevity comes opportunities for engaging in risky behavior, including initiation of excessive drinking. Given that both HIV infection and alcohol use disorder (AUD) can disrupt brain white matter integrity, we questioned whether HIV infection, even if successfully treated, or AUD alone results in signs of accelerated white matter aging and whether HIV+AUD comorbidity further accelerates brain aging. METHODS Longitudinal magnetic resonance imaging-FLAIR data were acquired over a 15-year period from 179 control individuals, 204 participants with AUD, 70 participants with HIV, and 75 participants with comorbid HIV+AUD. White matter hyperintensity (WMH) volumes were quantified and localized, and their functional relevance was examined with cognitive and motor testing. RESULTS The 3 diagnostic groups each had larger WMH volumes than the control group. Although all 4 groups exhibited accelerating volume increases with aging, only the HIV groups showed faster WMH enlargement than control individuals; the comorbid group showed faster acceleration than the HIV-only group. Sex and HIV infection length, but not viral suppression status, moderated acceleration. Correlations emerged between WMH volumes and attention/working memory and executive function scores of the AUD and HIV groups and between WMH volumes and motor skills in the 3 diagnostic groups. CONCLUSIONS Even treated HIV can show accelerated aging, possibly from treatment sequelae or legacy effects, and notably from AUD comorbidity. WMH volumes may be especially relevant for tracking HIV and AUD brain health because each condition is associated with liability for hypertensive processes, for which WMHs are considered a marker.
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Affiliation(s)
- Adolf Pfefferbaum
- Center for Health Sciences, SRI International, Menlo Park, California; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Qingyu Zhao
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Kilian M Pohl
- Center for Health Sciences, SRI International, Menlo Park, California; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | | | - Natalie M Zahr
- Center for Health Sciences, SRI International, Menlo Park, California; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Edith V Sullivan
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California.
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Zahr N, Pfefferbaum A. Serum albumin and white matter hyperintensities. RESEARCH SQUARE 2024:rs.3.rs-3822513. [PMID: 38260299 PMCID: PMC10802700 DOI: 10.21203/rs.3.rs-3822513/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Urine albumin, high in kidney disease, predicts cardiovascular incidents and CNS white matter hyperintensity (WMH) burdens. Serum albumin - a more general biomarker which can be low in several disorders - including kidney and liver disease, malnutrition, and inflammation - also predicts cardiovascular events and is associated with cognitive impairment in several clinical populations; relations between serum albumin and WMH prevalence, however, have rarely been evaluated. In a sample of 160 individuals with alcohol use disorder (AUD), 142 infected with HIV, and 102 healthy controls, the hypothesis was tested that lower serum albumin levels would predict larger WMH volumes and worse cognitive performance irrespective of diagnosis. After considering traditional cardiovascular risk factors (e.g., age, sex, body mass index (BMI), nicotine use, hypertension, diabetes) and study-relevant variables (i.e., primary diagnoses, race, socioeconomic status, hepatitis C virus status), serum albumin survived false discovery rate (FDR)-correction in contributing variance to larger periventricular but not deep WMH volumes. This relationship was salient in the AUD and HIV groups, but not the control group. In secondary analyses, serum albumin and periventricular WMH along with age, sex, diagnoses, BMI, and hypertension were considered for hierarchical contribution to variance in performance in 4 cognitive domains. Albumin survived FDR-correction for significantly contributing to visual and verbal learning and memory performance after accounting for diagnosis. Relations between albumin and markers of liver integrity [e.g., aspartate transaminase (AST)] and blood status (e.g., hemoglobin, red blood cell count, red cell distribution width) suggest that in this sample, albumin reflects both liver dysfunction and hematological abnormalities. The current results suggest that albumin, a simple serum biomarker available in most clinical settings, can predict variance in periventricular WMH volumes and performance in visual and verbal learning and memory cognitive domains. Whether serum albumin contributes mechanistically to periventricular WMH prevalence will require additional investigation.
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10
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Mu S, Lu W, Yu G, Zheng L, Qiu J. Deep learning-based grading of white matter hyperintensities enables identification of potential markers in multi-sequence MRI data. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 243:107904. [PMID: 37924768 DOI: 10.1016/j.cmpb.2023.107904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 10/06/2023] [Accepted: 10/27/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND White matter hyperintensities (WMHs) are widely-seen in the aging population, which are associated with cerebrovascular risk factors and age-related cognitive decline. At present, structural atrophy and functional alterations coexisted with WMHs lacks comprehensive investigation. This study developed a WMHs risk prediction model to evaluate WHMs according to Fazekas scales, and to locate potential regions with high risks across the entire brain. METHODS We developed a WMHs risk prediction model, which consisted of the following steps: T2 fluid attenuated inversion recovery (T2-FLAIR) image of each participant was firstly segmented into 1000 tiles with the size of 32 × 32 × 1, features from the tiles were extracted using the ResNet18-based feature extractor, and then a 1D convolutional neural network (CNN) was used to score all tiles based on the extracted features. Finally, a multi-layer perceptron (MLP) was constructed to predict the Fazekas scales based on the tile scores. The proposed model was trained using T2-FLAIR images, we selected tiles with abnormal scores in the test set after prediction, and evaluated their corresponding gray matter (GM) volume, white matter (WM) volume, fractional anisotropy (FA), mean diffusivity (MD), and cerebral blood flow (CBF) via longitudinal and multi-sequence Magnetic Resonance Imaging (MRI) data analysis. RESULTS The proposed WMHs risk prediction model could accurately predict the Fazekas ratings based on the tile scores from T2-FLAIR MRI images with accuracy of 0.656, 0.621 in training data set and test set, respectively. The longitudinal MRI validation revealed that most of the high-risk tiles predicted by the WMHs risk prediction model in the baseline images had WMHs in the corresponding positions in the longitudinal images. The validation on multi-sequence MRI demonstrated that WMHs were associated with GM and WM atrophies, WM micro-structural and perfusion alterations in high-risk tiles, and multi-modal MRI measures of most high-risk tiles showed significant associations with Mini Mental State Examination (MMSE) score. CONCLUSION Our proposed WMHs risk prediction model can not only accurately evaluate WMH severities according to Fazekas scales, but can also uncover potential markers of WMHs across modalities. The WMHs risk prediction model has the potential to be used for the early detection of WMH-related alterations in the entire brain and WMH-induced cognitive decline.
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Affiliation(s)
- Si Mu
- College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong, 271000, China
| | - Weizhao Lu
- Department of Radiology, the Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China
| | - Guanghui Yu
- Department of Radiology, the Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China
| | - Lei Zheng
- Department of Radiology, Rushan Hospital of Chinese Medicine, Rushan, Shandong, 264500, China.
| | - Jianfeng Qiu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medicine Sciences, Tai'an, Shandong, 271000, China; Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China.
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11
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Nishimura A, Kado T, Tobe K. Characterization of Diabetic Striatopathy With Repeated Follow-Up Using Multiple Imaging Studies. Cureus 2024; 16:e52223. [PMID: 38347980 PMCID: PMC10861287 DOI: 10.7759/cureus.52223] [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] [Accepted: 01/13/2024] [Indexed: 02/15/2024] Open
Abstract
Diabetic striatopathy is a rare condition with a prevalence of less than one in 100,000. Herein, we report a case of diabetic striatopathy exacerbated by hyperglycemia and hypoglycemia, with repeated follow-up with multiple imaging studies. This case suggested that putamen neuronal loss and dysfunction, gliosis, and ischemia are associated with diabetic striatopathy pathophysiology. In addition, striatal hyperintensity on T1-weighted MRI images was more pronounced after symptom remission when evaluated several times over a short period. Therefore, clinicians should be aware that even if MRI findings are normal in the very early stages of the onset of diabetic striatopathy, repeating MRIs at intervals may reveal typical findings.
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Affiliation(s)
- Ayumi Nishimura
- First Department of Internal Medicine, Graduate School of Medicine and Pharmaceutical Science, University of Toyama, Toyama, JPN
| | - Tomonobu Kado
- First Department of Internal Medicine, Graduate School of Medicine and Pharmaceutical Science, University of Toyama, Toyama, JPN
| | - Kazuyuki Tobe
- First Department of Internal Medicine, Graduate School of Medicine and Pharmaceutical Science, University of Toyama, Toyama, JPN
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12
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Gunkel S, Schötzau A, Fluri F. Burden of cerebral small vessel disease and changes of diastolic blood pressure affect clinical outcome after acute ischemic stroke. Sci Rep 2023; 13:22070. [PMID: 38086878 PMCID: PMC10716411 DOI: 10.1038/s41598-023-49502-6] [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: 04/19/2023] [Accepted: 12/08/2023] [Indexed: 12/18/2023] Open
Abstract
Elevated and low blood pressure (BP) may lead to poor functional outcome after ischemic stroke, which is conflicting. Hence, there must be another factor-such as cerebral small vessel disease (cSVD) -interacting with BP and thus, affecting outcome. Here, we investigate the relationship between BP and cSVD regarding outcome after stroke. Data of 423/503 stroke patients were prospectively analyzed. Diastolic (DBP) and systolic BP (SBP) were collected on hospital admission (BPad) and over the first 72 h (BP72h). cSVD-burden was determined on MR-scans. Good functional outcome was defined as a modified Rankin Scale score ≤ 2 at hospital discharge and 12 months thereafter. cSVD was a predictor of poor outcome (OR 2.8; p < 0.001). SBPad, DBPad and SBP72h were not significantly associated with outcome at any time. A significant relationship was found between DBP72h, (p < 0.01), cSVD (p = 0.013) and outcome at discharge. At 12 months, we found a relationship between outcome and DBP72h (p = 0.018) and a statistical tendency regarding cSVD (p = 0.08). Changes in DBP72h were significantly related with outcome. There was a U-shaped relationship between DBP72h and outcome at discharge. Our results suggest an individualized stroke care by either lowering or elevating DBP depending on cSVD-burden in order to influence functional outcome.
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Affiliation(s)
- Sarah Gunkel
- Department of Neurology, University Hospital Würzburg, Josef-Schneider Strasse 11, 97080, Würzburg, Germany
| | - Andreas Schötzau
- Eudox Statistics, Basel, Switzerland
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Felix Fluri
- Department of Neurology, University Hospital Würzburg, Josef-Schneider Strasse 11, 97080, Würzburg, Germany.
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13
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He Y, Li Z, Shi X, Ding J, Wang X. Metformin attenuates white matter injury and cognitive impairment induced by chronic cerebral hypoperfusion. J Cereb Blood Flow Metab 2023; 43:78-94. [PMID: 37177813 PMCID: PMC10638997 DOI: 10.1177/0271678x231175189] [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: 10/29/2022] [Revised: 03/28/2023] [Accepted: 04/01/2023] [Indexed: 05/15/2023]
Abstract
Vascular cognitive impairment and dementia (VCID) is a series of cognitive dysfunction associated with cerebrovascular diseases and currently lacks effective treatments. The white matter, which is essential for neuronal information processing and integration, is nourished by a network of capillaries and is vulnerable to chronic hypoperfusion. Here, we show that metformin, a widely used drug for the treatment of type 2 diabetes, alleviates the white matter damage and improves cognitive impairment in a mouse model of VCID established by bilateral carotid artery stenosis (BCAS)-induced chronic hypoperfusion. Mechanistically, metformin restores the dysfunctions of oligodendrocyte precursor cells (OPCs) under hypoxia. Metformin up-regulates prolyl hydroxylases 2 via activating the AMP-activated protein kinase pathway, leading to hypoxia-inducible factor-1α (HIF-1α) degradation in OPCs. These findings suggest that metformin may have a promising therapeutic role in alleviating cognitive abnormalities by ameliorating white matter damage of VCID.
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Affiliation(s)
- Yixi He
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Zhenghao Li
- Institute of Neuroscience, MOE Key Laboratory of Molecular Neurobiology, NMU, Shanghai, China
| | - Xiaoyu Shi
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Jing Ding
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Xin Wang
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
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14
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Huang R, Zhang L, Deng L, Chen C. White matter hyperintensities combined with serum NLRP3 in diagnosis of cognitive impairment in patients with cerebral small vessel disease. Scand J Clin Lab Invest 2023; 83:448-454. [PMID: 37702579 DOI: 10.1080/00365513.2023.2255974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/03/2023] [Indexed: 09/14/2023]
Abstract
Background: White matter hyperintensities (WMH) are widely used for the diagnosis of cerebral small vessel disease (CSVD). However, whether NLRP3 is correlated with cognitive impairment after CSVD is still not clear.Objective: This study aimed to investigate the diagnostic value of WMHs combined with NLRP3 for cognitive impairment after CSVD.Methods: This prospective observational study enrolled a total of 188 CSVD patients from September 2019 to May 2022. All patients received brain MRI assessment and WMH Fazekas score, as well as WMH volume, was recorded. Serum NLRP3 level was measured by ELISA. Patients' cognitive function was measured by MoCA after 6 months of diagnosis of CSVD. The serum levels of C reactive protein (CRP), interleukin (IL)-6, total cholesterol (TC), triglyceride (TG), high-density leptin cholesterol (HDL) and low-density leptin cholesterol (LDL) were recordedResults: CSVD patients with cognitive impairment had significantly higher Fazekas scores, WMH volumes, serum NLRP3 and IL-6 levels compared to patients without cognitive impairment. A positive correlation was found among Fazekas scores, WMH volumes and NLRP3 levels. The combination of WMH volume and NLRP3 could achieve a better specificity for the diagnosis of cognitive impairment. Coronary syndrome history, WMH volume and NLRP3 were found as independent risk factors for cognitive impairment after CSVD.Conclusion: Fazekas scores, WMH volume and serum NLRP3 levels are associated with cognitive impairment after CSVD and have the potential to be used as diagnostic biomarkers.
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Affiliation(s)
- Ronghui Huang
- Department of Medical Imaging, the Fourth Hospital of Changsha, Changsha, Hunan Province, P.R. China
| | - Lin Zhang
- Department of Emergency, the Fourth Hospital of Changsha, Changsha, Hunan Province, P.R. China
| | - Limeng Deng
- Department of Medical Imaging, the Fourth Hospital of Changsha, Changsha, Hunan Province, P.R. China
| | - Can Chen
- Department of Medical Imaging, the Fourth Hospital of Changsha, Changsha, Hunan Province, P.R. China
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15
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Wiersinga JHI, Rhodius-Meester HFM, Wolters FJ, Trappenburg MC, Lemstra AW, Barkhof F, Peters MJL, van der Flier WM, Muller M. Orthostatic hypotension and its association with cerebral small vessel disease in a memory clinic population. J Hypertens 2023; 41:1738-1744. [PMID: 37589676 DOI: 10.1097/hjh.0000000000003525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
BACKGROUND Orthostatic hypotension (OH), an impaired blood pressure (BP) response to postural change, has been associated with cognitive decline and dementia, possibly through cerebral small vessel disease (CSVD). We hypothesized that longer duration of BP drop and a larger BP drop is associated with increased risk of CSVD. METHODS This cross-sectional study included 3971 memory clinic patients (mean age 68 years, 45% female, 42% subjective cognitive complaints, 17% mild cognitive impairment, 41% dementia) from the Amsterdam Ageing Cohort and Amsterdam Dementia Cohort. Early OH (EOH) was defined as a drop in BP of ±20 mmHg systolic and/or 10 mmHg diastolic only at 1 min after standing, and delayed/prolonged OH (DPOH) at 1 and/or 3 min after standing. Presence of CSVD [white matter hyperintensities (WMH), lacunes, microbleeds] was assessed with MRI ( n = 3584) or CT brain (n = 389). RESULTS The prevalence of early OH was 9% and of delayed/prolonged OH 18%. Age- and sex-adjusted logistic regression analyses showed that delayed/prolonged OH, but not early OH, was significantly associated with a higher burden of WMH (OR, 95%CI: 1.21, 1.00-1.46) and lacunes (OR, 95%CI 1.34, 1.06-1.69), but not microbleeds (OR, 95%CI 1.22, 0.89-1.67). When adjusting for supine SBP, these associations attenuated (ORs, 95%CI for WMH 1.04, 0.85-1.27; for lacunes 1.21, 0.91-1.62; for microbleeds 0.95, 0.68-1.31). A larger drop in SBP was associated with increased risk of WMH and microbleeds, however, when adjusted for supine SBP, this effect diminished. CONCLUSIONS Among memory clinic patients, DPOH is more common than EOH. While longer duration and larger magnitude of BP drop coincided with a higher burden of CSVD, these associations were largely explained by high supine BP.
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Affiliation(s)
- Julia H I Wiersinga
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Internal Medicine section Geriatrics
- Amsterdam Cardiovascular Sciences, Atherosclerosis & Ischemic Syndromes
| | - Hanneke F M Rhodius-Meester
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Internal Medicine section Geriatrics
- Amsterdam UMC location Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam & Department of Neurology, Amsterdam, The Netherlands
- Oslo University Hospital, Department of Geriatric Medicine, Ullevål, Oslo, Norway
| | - Frank J Wolters
- Erasmus Medical Center, Department of Epidemiology, Rotterdam
- Erasmus Medical Center, Departments of Radiology & Nuclear Medicine and Alzheimer Center Erasmus MC, Rotterdam, The Netherlands
| | - Marijke C Trappenburg
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Internal Medicine section Geriatrics
- Amstelland Hospital, Department of Internal Medicine section Geriatrics, Amstelveen
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiology, Amsterdam, The Netherlands
| | - Afina W Lemstra
- Amsterdam UMC location Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam & Department of Neurology, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Amsterdam UMC location Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam & Department of Neurology, Amsterdam, The Netherlands
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- Amsterdam Neuroscience, Neurodegeneration, Brain Imaging, Amsterdam
| | - Mike J L Peters
- UMC Utrecht, University of Utrecht, Department of Internal Medicine section Geriatrics, Utrecht
| | - Wiesje M van der Flier
- Amsterdam UMC location Vrije Universiteit Amsterdam, Alzheimer Center Amsterdam & Department of Neurology, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Brain Imaging, Amsterdam
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam
| | - Majon Muller
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Internal Medicine section Geriatrics
- Amsterdam Cardiovascular Sciences, Atherosclerosis & Ischemic Syndromes
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16
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Hannawi Y. Cerebral Small Vessel Disease: a Review of the Pathophysiological Mechanisms. Transl Stroke Res 2023:10.1007/s12975-023-01195-9. [PMID: 37864643 DOI: 10.1007/s12975-023-01195-9] [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: 06/02/2023] [Revised: 06/02/2023] [Accepted: 09/18/2023] [Indexed: 10/23/2023]
Abstract
Cerebral small vessel disease (cSVD) refers to the age-dependent pathological processes involving the brain small vessels and leading to vascular cognitive impairment, intracerebral hemorrhage, and acute lacunar ischemic stroke. Despite the significant public health burden of cSVD, disease-specific therapeutics remain unavailable due to the incomplete understanding of the underlying pathophysiological mechanisms. Recent advances in neuroimaging acquisition and processing capabilities as well as findings from cSVD animal models have revealed critical roles of several age-dependent processes in cSVD pathogenesis including arterial stiffness, vascular oxidative stress, low-grade systemic inflammation, gut dysbiosis, and increased salt intake. These factors interact to cause a state of endothelial cell dysfunction impairing cerebral blood flow regulation and breaking the blood brain barrier. Neuroinflammation follows resulting in neuronal injury and cSVD clinical manifestations. Impairment of the cerebral waste clearance through the glymphatic system is another potential process that has been recently highlighted contributing to the cognitive decline. This review details these mechanisms and attempts to explain their complex interactions. In addition, the relevant knowledge gaps in cSVD mechanistic understanding are identified and a systematic approach to future translational and early phase clinical research is proposed in order to reveal new cSVD mechanisms and develop disease-specific therapeutics.
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Affiliation(s)
- Yousef Hannawi
- Division of Cerebrovascular Diseases and Neurocritical Care, Department of Neurology, The Ohio State University, 333 West 10th Ave, Graves Hall 3172C, Columbus, OH, 43210, USA.
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17
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Padrela BE, Lorenzini L, Collij LE, García DV, Coomans E, Ingala S, Tomassen J, Deckers Q, Shekari M, de Geus EJC, van de Giessen E, Kate MT, Visser PJ, Barkhof F, Petr J, den Braber A, Mutsaerts HJMM. Genetic, vascular and amyloid components of cerebral blood flow in a preclinical population. J Cereb Blood Flow Metab 2023; 43:1726-1736. [PMID: 37231665 PMCID: PMC10581242 DOI: 10.1177/0271678x231178993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/05/2023] [Accepted: 04/09/2023] [Indexed: 05/27/2023]
Abstract
Aging-related cognitive decline can be accelerated by a combination of genetic factors, cardiovascular and cerebrovascular dysfunction, and amyloid-β burden. Whereas cerebral blood flow (CBF) has been studied as a potential early biomarker of cognitive decline, its normal variability in healthy elderly is less known. In this study, we investigated the contribution of genetic, vascular, and amyloid-β components of CBF in a cognitively unimpaired (CU) population of monozygotic older twins. We included 134 participants who underwent arterial spin labeling (ASL) MRI and [18F]flutemetamol amyloid-PET imaging at baseline and after a four-year follow-up. Generalized estimating equations were used to investigate the associations of amyloid burden and white matter hyperintensities with CBF. We showed that, in CU individuals, CBF: 1) has a genetic component, as within-pair similarities in CBF values were moderate and significant (ICC > 0.40); 2) is negatively associated with cerebrovascular damage; and 3) is positively associated with the interaction between cardiovascular risk scores and early amyloid-β burden, which may reflect a vascular compensatory response of CBF to early amyloid-β accumulation. These findings encourage future studies to account for multiple interactions with CBF in disease trajectory analyses.
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Affiliation(s)
- Beatriz E Padrela
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - David Vállez García
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Emma Coomans
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Quinten Deckers
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Mahnaz Shekari
- BBRC: Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Eco JC de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Mara ten Kate
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC), University College London, London, UK
| | - Jan Petr
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | - Anouk den Braber
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Henk JMM Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
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18
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Badji A, Youwakim J, Cooper A, Westman E, Marseglia A. Vascular cognitive impairment - Past, present, and future challenges. Ageing Res Rev 2023; 90:102042. [PMID: 37634888 DOI: 10.1016/j.arr.2023.102042] [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: 01/26/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 08/29/2023]
Abstract
Vascular cognitive impairment (VCI) is a lifelong process encompassing a broad spectrum of cognitive disorders, ranging from subtle or mild deficits to prodromal and fully developed dementia, originating from cerebrovascular lesions such as large and small vessel disease. Genetic predisposition and environmental exposure to risk factors such as unhealthy lifestyles, hypertension, cardiovascular disease, and metabolic disorders will synergistically interact, yielding biochemical and structural brain changes, ultimately culminating in VCI. However, little is known about the pathological processes underlying VCI and the temporal dynamics between risk factors and disease mechanisms (biochemical and structural brain changes). This narrative review aims to provide an evidence-based summary of the link between individual vascular risk/disorders and cognitive dysfunction and the potential structural and biochemical pathophysiological processes. We also discuss some key challenges for future research on VCI. There is a need to shift from individual risk factors/disorders to comorbid vascular burden, identifying and integrating imaging and fluid biomarkers, implementing a life-course approach, considering possible neuroprotective influences of positive life exposures, and addressing biological sex at birth and gender differences. Finally, this review highlights the need for future researchers to leverage and integrate multidimensional data to advance our understanding of the mechanisms and pathophysiology of VCI.
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Affiliation(s)
- Atef Badji
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Jessica Youwakim
- Department of Pharmacology and Physiology, Université de Montréal, Montreal, QC, Canada; Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage (CIRCA), Montreal, QC, Canada; Groupe de Recherche sur la Signalisation Neuronal et la Circuiterie (SNC), Montreal, QC, Canada
| | - Alexandra Cooper
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Anna Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
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19
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James SN, Manning EN, Storey M, Nicholas JM, Coath W, Keuss SE, Cash DM, Lane CA, Parker T, Keshavan A, Buchanan SM, Wagen A, Harris M, Malone I, Lu K, Needham LP, Street R, Thomas D, Dickson J, Murray-Smith H, Wong A, Freiberger T, Crutch SJ, Fox NC, Richards M, Barkhof F, Sudre CH, Barnes J, Schott JM. Neuroimaging, clinical and life course correlates of normal-appearing white matter integrity in 70-year-olds. Brain Commun 2023; 5:fcad225. [PMID: 37680671 PMCID: PMC10481255 DOI: 10.1093/braincomms/fcad225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 05/30/2023] [Accepted: 08/17/2023] [Indexed: 09/09/2023] Open
Abstract
We investigate associations between normal-appearing white matter microstructural integrity in cognitively normal ∼70-year-olds and concurrently measured brain health and cognition, demographics, genetics and life course cardiovascular health. Participants born in the same week in March 1946 (British 1946 birth cohort) underwent PET-MRI around age 70. Mean standardized normal-appearing white matter integrity metrics (fractional anisotropy, mean diffusivity, neurite density index and orientation dispersion index) were derived from diffusion MRI. Linear regression was used to test associations between normal-appearing white matter metrics and (i) concurrent measures, including whole brain volume, white matter hyperintensity volume, PET amyloid and cognition; (ii) the influence of demographic and genetic predictors, including sex, childhood cognition, education, socio-economic position and genetic risk for Alzheimer's disease (APOE-ɛ4); (iii) systolic and diastolic blood pressure and cardiovascular health (Framingham Heart Study Cardiovascular Risk Score) across adulthood. Sex interactions were tested. Statistical significance included false discovery rate correction (5%). Three hundred and sixty-two participants met inclusion criteria (mean age 70, 49% female). Higher white matter hyperintensity volume was associated with lower fractional anisotropy [b = -0.09 (95% confidence interval: -0.11, -0.06), P < 0.01], neurite density index [b = -0.17 (-0.22, -0.12), P < 0.01] and higher mean diffusivity [b = 0.14 (-0.10, -0.17), P < 0.01]; amyloid (in men) was associated with lower fractional anisotropy [b = -0.04 (-0.08, -0.01), P = 0.03)] and higher mean diffusivity [b = 0.06 (0.01, 0.11), P = 0.02]. Framingham Heart Study Cardiovascular Risk Score in later-life (age 69) was associated with normal-appearing white matter {lower fractional anisotropy [b = -0.06 (-0.09, -0.02) P < 0.01], neurite density index [b = -0.10 (-0.17, -0.03), P < 0.01] and higher mean diffusivity [b = 0.09 (0.04, 0.14), P < 0.01]}. Significant sex interactions (P < 0.05) emerged for midlife cardiovascular health (age 53) and normal-appearing white matter at 70: marginal effect plots demonstrated, in women only, normal-appearing white matter was associated with higher midlife Framingham Heart Study Cardiovascular Risk Score (lower fractional anisotropy and neurite density index), midlife systolic (lower fractional anisotropy, neurite density index and higher mean diffusivity) and diastolic (lower fractional anisotropy and neurite density index) blood pressure and greater blood pressure change between 43 and 53 years (lower fractional anisotropy and neurite density index), independently of white matter hyperintensity volume. In summary, poorer normal-appearing white matter microstructural integrity in ∼70-year-olds was associated with measures of cerebral small vessel disease, amyloid (in males) and later-life cardiovascular health, demonstrating how normal-appearing white matter can provide additional information to overt white matter disease. Our findings further show that greater 'midlife' cardiovascular risk and higher blood pressure were associated with poorer normal-appearing white matter microstructural integrity in females only, suggesting that women's brains may be more susceptible to the effects of midlife blood pressure and cardiovascular health.
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Affiliation(s)
- Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Emily N Manning
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Mathew Storey
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - William Coath
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah E Keuss
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Christopher A Lane
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ashvini Keshavan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah M Buchanan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Aaron Wagen
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Centre for Medical Image Computing, University College London, London, UK
| | - Mathew Harris
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ian Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Louisa P Needham
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Rebecca Street
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David Thomas
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - John Dickson
- Institute of Nuclear Medicine, University College London Hospitals Foundation Trust, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Tamar Freiberger
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sebastian J Crutch
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Nick C Fox
- 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, Institute of Cardiovascular Science, University College London, London, UK
| | - Frederik Barkhof
- Centre for Medical Image Computing, University College London, London, UK
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
- Centre for Medical Image Computing, University College London, London, UK
- School of Biomedical Engineering, King’s College, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jonathan M Schott
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
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20
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Duering M, Biessels GJ, Brodtmann A, Chen C, Cordonnier C, de Leeuw FE, Debette S, Frayne R, Jouvent E, Rost NS, Ter Telgte A, Al-Shahi Salman R, Backes WH, Bae HJ, Brown R, Chabriat H, De Luca A, deCarli C, Dewenter A, Doubal FN, Ewers M, Field TS, Ganesh A, Greenberg S, Helmer KG, Hilal S, Jochems ACC, Jokinen H, Kuijf H, Lam BYK, Lebenberg J, MacIntosh BJ, Maillard P, Mok VCT, Pantoni L, Rudilosso S, Satizabal CL, Schirmer MD, Schmidt R, Smith C, Staals J, Thrippleton MJ, van Veluw SJ, Vemuri P, Wang Y, Werring D, Zedde M, Akinyemi RO, Del Brutto OH, Markus HS, Zhu YC, Smith EE, Dichgans M, Wardlaw JM. Neuroimaging standards for research into small vessel disease-advances since 2013. Lancet Neurol 2023; 22:602-618. [PMID: 37236211 DOI: 10.1016/s1474-4422(23)00131-x] [Citation(s) in RCA: 149] [Impact Index Per Article: 149.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/03/2023] [Accepted: 03/28/2023] [Indexed: 05/28/2023]
Abstract
Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive and other symptoms and affect activities of daily living. Standards for Reporting Vascular Changes on Neuroimaging 1 (STRIVE-1) categorised and standardised the diverse features of SVD that are visible on structural MRI. Since then, new information on these established SVD markers and novel MRI sequences and imaging features have emerged. As the effect of combined SVD imaging features becomes clearer, a key role for quantitative imaging biomarkers to determine sub-visible tissue damage, subtle abnormalities visible at high-field strength MRI, and lesion-symptom patterns, is also apparent. Together with rapidly emerging machine learning methods, these metrics can more comprehensively capture the effect of SVD on the brain than the structural MRI features alone and serve as intermediary outcomes in clinical trials and future routine practice. Using a similar approach to that adopted in STRIVE-1, we updated the guidance on neuroimaging of vascular changes in studies of ageing and neurodegeneration to create STRIVE-2.
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Affiliation(s)
- Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany; Medical Image Analysis Center, University of Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
| | - Geert Jan Biessels
- Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Amy Brodtmann
- Cognitive Health Initiative, Central Clinical School, Monash University, Melbourne, VIC, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Christopher Chen
- Department of Pharmacology, Memory Aging and Cognition Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Psychological Medicine, Memory Aging and Cognition Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Charlotte Cordonnier
- Université de Lille, INSERM, CHU Lille, U1172-Lille Neuroscience and Cognition (LilNCog), Lille, France
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Center for Medical Neuroscience, Radboudumc, Nijmegen, Netherlands
| | - Stéphanie Debette
- Bordeaux Population Health Research Center, University of Bordeaux, INSERM, UMR 1219, Bordeaux, France; Department of Neurology, Institute for Neurodegenerative Diseases, CHU de Bordeaux, Bordeaux, France
| | - Richard Frayne
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada; Department of Radiology, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Seaman Family MR Research Centre, Foothills Medical Centre, University of Calgary, Calgary, AB, Canada
| | - Eric Jouvent
- AP-HP, Lariboisière Hospital, Translational Neurovascular Centre, FHU NeuroVasc, Université Paris Cité, Paris, France; Université Paris Cité, INSERM UMR 1141, NeuroDiderot, Paris, France
| | - Natalia S Rost
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Walter H Backes
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University College of Medicine, Seoul, South Korea; Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seongn-si, South Korea
| | - Rosalind Brown
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Hugues Chabriat
- Centre Neurovasculaire Translationnel, CERVCO, INSERM U1141, FHU NeuroVasc, Université Paris Cité, Paris, France
| | - Alberto De Luca
- Image Sciences Institute, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Charles deCarli
- Department of Neurology and Center for Neuroscience, University of California, Davis, CA, USA
| | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Thalia S Field
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada; Vancouver Stroke Program, Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | - Aravind Ganesh
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada; Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada
| | - Steven Greenberg
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Karl G Helmer
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Athinoula A Martinos Center for Biomedical Imaging, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Saima Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Angela C C Jochems
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Hanna Jokinen
- Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital, University of Helsinki, Helsinki, Finland; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hugo Kuijf
- Image Sciences Institute, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Bonnie Y K Lam
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Margaret KL Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Jessica Lebenberg
- AP-HP, Lariboisière Hospital, Translational Neurovascular Centre, FHU NeuroVasc, Université Paris Cité, Paris, France; Université Paris Cité, INSERM UMR 1141, NeuroDiderot, Paris, France
| | - Bradley J MacIntosh
- Sandra E Black Centre for Brain Resilience and Repair, Hurvitz Brain Sciences, Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Computational Radiology and Artificial Intelligence Unit, Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Pauline Maillard
- Department of Neurology and Center for Neuroscience, University of California, Davis, CA, USA
| | - Vincent C T Mok
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Margaret KL Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Leonardo Pantoni
- Department of Biomedical and Clinical Science, University of Milan, Milan, Italy
| | - Salvatore Rudilosso
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Department of Neurology, Boston University Medical Center, Boston, MA, USA; Framingham Heart Study, Framingham, MA, USA
| | - Markus D Schirmer
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Colin Smith
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Julie Staals
- School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, Netherlands; Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Edinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | | | - Yilong Wang
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - David Werring
- Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Marialuisa Zedde
- Neurology Unit, Stroke Unit, Department of Neuromotor Physiology and Rehabilitation, Azienda Unità Sanitaria-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Rufus O Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oscar H Del Brutto
- School of Medicine and Research Center, Universidad de Especialidades Espiritu Santo, Ecuador
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Eric E Smith
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada; Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada; Department of Radiology, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; German Centre for Cardiovascular Research (DZHK), Munich, Germany
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK.
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Frisoni GB, van der Flier W. STRIVEing to describe small vessel disease. Lancet Neurol 2023; 22:548-549. [PMID: 37236209 DOI: 10.1016/s1474-4422(23)00197-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 05/22/2023] [Indexed: 05/28/2023]
Affiliation(s)
- Giovanni B Frisoni
- Department of Rehabilitation and Geriatrics, Memory center, Geneva University Hospitals, University of Geneva, 1205 Geneva, Switzerland.
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Amsterdam Neuroscience, Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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22
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Sible IJ, Nation DA. Blood Pressure Variability and Cerebral Perfusion Decline: A Post Hoc Analysis of the SPRINT MIND Trial. J Am Heart Assoc 2023; 12:e029797. [PMID: 37301768 PMCID: PMC10356024 DOI: 10.1161/jaha.123.029797] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 05/17/2023] [Indexed: 06/12/2023]
Abstract
Background Blood pressure variability (BPV) is predictive of cerebrovascular disease and dementia, possibly though cerebral hypoperfusion. Higher BPV is associated with cerebral blood flow (CBF) decline in observational cohorts, but relationships in samples with strictly controlled blood pressure remain understudied. We investigated whether BPV relates to change in CBF in the context of intensive versus standard antihypertensive treatment. Methods and Results In this post hoc analysis of the SPRINT MIND (Systolic Blood Pressure Intervention Trial-Memory and Cognition in Decreased Hypertension) trial, 289 participants (mean, 67.6 [7.6 SD] years, 38.8% women) underwent 4 blood pressure measurements over a 9-month period after treatment randomization (intensive versus standard) and pseudo-continuous arterial spin labeling magnetic resonance imaging at baseline and ≈4-year follow-up. BPV was calculated as tertiles of variability independent of mean. CBF was determined for whole brain, gray matter, white matter, hippocampus, parahippocampal gyrus, and entorhinal cortex. Linear mixed models examined relationships between BPV and change in CBF under intensive versus standard antihypertensive treatment. Higher BPV in the standard treatment group was associated with CBF decline in all regions (ß comparing the first versus third tertiles of BPV in whole brain: -0.09 [95% CI, -0.17 to -0.01]; P=0.03), especially in medial temporal regions. In the intensive treatment group, elevated BPV was related to CBF decline only in the hippocampus (ß, -0.10 [95% CI, -0.18, -0.01]; P=0.03). Conclusions Elevated BPV is associated with CBF decline, especially under standard blood pressure-lowering strategies. Relationships were particularly robust in medial temporal regions, consistent with prior work using observational cohorts. Findings highlight the possibility that BPV remains a risk for CBF decline even in individuals with strictly controlled mean blood pressure levels. Registration URL: http://clinicaltrials.gov. Identifier: NCT01206062.
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Affiliation(s)
- Isabel J. Sible
- Department of PsychologyUniversity of Southern CaliforniaLos AngelesCA
| | - Daniel A. Nation
- Institute for Memory Impairments and Neurological DisordersUniversity of California IrvineIrvineCA
- Department of Psychological ScienceUniversity of California IrvineIrvineCA
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23
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Pansieri J, Hadley G, Lockhart A, Pisa M, DeLuca GC. Regional contribution of vascular dysfunction in white matter dementia: clinical and neuropathological insights. Front Neurol 2023; 14:1199491. [PMID: 37396778 PMCID: PMC10313211 DOI: 10.3389/fneur.2023.1199491] [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: 04/03/2023] [Accepted: 05/25/2023] [Indexed: 07/04/2023] Open
Abstract
The maintenance of adequate blood supply and vascular integrity is fundamental to ensure cerebral function. A wide range of studies report vascular dysfunction in white matter dementias, a group of cerebral disorders characterized by substantial white matter damage in the brain leading to cognitive impairment. Despite recent advances in imaging, the contribution of vascular-specific regional alterations in white matter dementia has been not extensively reviewed. First, we present an overview of the main components of the vascular system involved in the maintenance of brain function, modulation of cerebral blood flow and integrity of the blood-brain barrier in the healthy brain and during aging. Second, we review the regional contribution of cerebral blood flow and blood-brain barrier disturbances in the pathogenesis of three distinct conditions: the archetypal white matter predominant neurocognitive dementia that is vascular dementia, a neuroinflammatory predominant disease (multiple sclerosis) and a neurodegenerative predominant disease (Alzheimer's). Finally, we then examine the shared landscape of vascular dysfunction in white matter dementia. By emphasizing the involvement of vascular dysfunction in the white matter, we put forward a hypothetical map of vascular dysfunction during disease-specific progression to guide future research aimed to improve diagnostics and facilitate the development of tailored therapies.
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Feng F, Kan W, Yang H, Ding H, Wang X, Dong R. White matter hyperintensities had a correlation with the cerebral perfusion level, but no correlation with the severity of large vessel stenosis in the anterior circulation. Brain Behav 2023; 13:e2932. [PMID: 36917737 PMCID: PMC10097076 DOI: 10.1002/brb3.2932] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 02/04/2023] [Accepted: 02/14/2023] [Indexed: 03/16/2023] Open
Abstract
OBJECTIVE The contribution of large vessel stenosis to the development of white matter hyperintensities (WMHs) has not been fully elucidated. This study aims to explore the correlation between ipsilateral white matter hyperintensities (WMHs) and the severity of large vessel stenosis in the anterior circulation and cerebral perfusion level, as well as analyze the factors influencing WMHs. METHODS A cross-sectional study of 150 patients with unilateral anterior circulation large vessel stenosis of ≥50% was conducted. The severity of ipsilateral WMHs was assessed by Fazekas scale on T2-weighted image and/or fluid-attenuated inversion recovery MR imaging, vascular stenosis severity was evaluated on computed tomography angiography images, and the level of cerebral perfusion was rated according to a staging system for abnormal cerebral perfusion based on CTP results. The relationships between the stenosis severity, cerebral perfusion level and ipsilateral WMHs severity were analyzed. A multivariate logistic regression analysis was performed to determine the factors independently influencing WMHs. RESULTS Among 150 patients (mean age, 63.12 ± 10.55 years), there was a statistically significant positive correlation between cerebral perfusion level and the severity of DWMHs and PWMHs (Gamma = 0.561, p < .001; Gamma = 0.600, p < .001), and a positive correlation between cerebral perfusion level and the severity of vascular stenosis (Gamma = 0.495, p < .001).While, there was no statistically significant correlation between the severity of vascular stenosis and the severity of DWMHs and PWMHs (Gamma = 0.188, p = .08; Gamma = 0.196, p = .06). The multivariate logistic regression analysis results demonstrated that age (OR = 1.047, 95% CI 1.003-1.093; p = .035), stroke/TIA history (OR = 2.880, 95% CI 1.154-7.190; p = .023) and stage II of cerebral perfusion (OR = 2.880, 95% CI 1.154-7.190; p = .023) were independent influencing factors on ipsilateral DWMHs. Age (OR = 1.051, 95% CI 1.009-1.094; p = .018), and stage II of cerebral perfusion (OR = 12.871, 95% CI 3.576-46.322; p < .001) were factors independently influencing ipsilateral PWMHs. CONCLUSION White matter hyperintensities may be attributed to cerebral hypoperfusion secondary to vascular stenosis but not directly to the severity of stenosis in the large vessels of anterior circulation. Moreover, longitudinal studies with sequential imaging exams may further reveal the impact of cerebral perfusion secondary to vascular stenosis on the development and progression of WMHs.
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Affiliation(s)
- Fanfan Feng
- Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Weihao Kan
- Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Hongchao Yang
- Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Hongmei Ding
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xiaolong Wang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Ruiguo Dong
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
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Wiseman SJ, Zhang JF, Gray C, Hamid C, Valdés Hernández MDC, Ballerini L, Thrippleton MJ, Manning C, Stringer M, Sleight E, Muñoz Maniega S, Morgan A, Cheng Y, Arteaga C, Jaime Garcia D, Clancy U, Doubal FN, Dhillon B, MacGillivray T, Wu YC, Wardlaw JM. Retinal capillary microvessel morphology changes are associated with vascular damage and dysfunction in cerebral small vessel disease. J Cereb Blood Flow Metab 2023; 43:231-240. [PMID: 36300327 PMCID: PMC9903216 DOI: 10.1177/0271678x221135658] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 01/24/2023]
Abstract
Cerebral small vessel disease (SVD) is a cause of stroke and dementia. Retinal capillary microvessels revealed by optical coherence tomography angiography (OCTA) are developmentally related to brain microvessels. We quantified retinal vessel density (VD) and branching complexity, investigating relationships with SVD lesions, white matter integrity on diffusion tensor imaging (DTI) and cerebrovascular reactivity (CVR) to CO2 in patients with minor stroke. We enrolled 123 patients (mean age 68.1 ± SD 9.9 years), 115 contributed retinal data. Right (R) and left (L) eyes are reported. After adjusting for age, eye disease, diabetes, blood pressure and image quality, lower VD remained associated with higher mean diffusivity (MD) (standardized β; R -0.16 [95%CI -0.32 to -0.01]) and lower CVR (L 0.17 [0.03 to 0.31] and R 0.19 [0.02 to 0.36]) in normal appearing white matter (NAWM). Sparser branching remained associated with sub-visible white matter damage shown by higher MD (R -0.24 [-0.08 to -0.40]), lower fractional anisotropy (FA) (L 0.17 [0.01 to 0.33]), and lower CVR (R 0.20 [0.02 to 0.38]) in NAWM. OCTA-derived metrics provide evidence of microvessel abnormalities that may underpin SVD lesions in the brain.
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Affiliation(s)
- Stewart J Wiseman
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Jun-Fang Zhang
- Department of Neurology, Shanghai General Hospital, Shanghai
Jiao Tong University School of Medicine, Shanghai, China
| | - Calum Gray
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Charlene Hamid
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Maria del C Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
| | - Lucia Ballerini
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Cameron Manning
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Michael Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Emilie Sleight
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
| | | | - Alasdair Morgan
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Yajun Cheng
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- Department of Neurology, West China Hospital, Sichuan
University, Chengdu, China
| | - Carmen Arteaga
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Dany Jaime Garcia
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Una Clancy
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Baljean Dhillon
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- NHS Lothian Princess Alexandra Eye Pavilion, UK
| | - Tom MacGillivray
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Yun-Cheng Wu
- Department of Neurology, Shanghai General Hospital, Shanghai
Jiao Tong University School of Medicine, Shanghai, China
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
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26
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Starmans NL, Wolters FJ, Leeuwis AE, Bron EE, Brunner La Rocca HP, Staals J, Biessels GJ, Kappelle LJ. Twenty-four hour blood pressure variability and the prevalence and the progression of cerebral white matter hyperintensities. J Cereb Blood Flow Metab 2023; 43:801-811. [PMID: 36597406 PMCID: PMC10108197 DOI: 10.1177/0271678x221149937] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Blood pressure variability (BPV) is related to cerebral white matter hyperintensities (WMH), but longitudinal studies assessing WMH progression are scarce. Patients with cardiovascular disease and control participants of the Heart-Brain Connection Study underwent 24-hour ambulatory blood pressure monitoring and repeated brain MRI at baseline and after 2 years. Using linear regression, we determined whether different measures of BPV (standard deviation, coefficient of variation, average real variability (ARV), variability independent of the mean) and nocturnal dipping were associated with WMH and whether this association was mediated or moderated by baseline cerebral perfusion. Among 177 participants (mean age: 65.9 ± 8.1 years, 33.9% female), the absence of diastolic nocturnal dipping was associated with higher WMH volume at baseline (β = 0.208, 95%CI: 0.025-0.392), but not with WMH progression among 91 participants with follow-up imaging. None of the BPV measures were associated with baseline WMH. Only 24-hour diastolic ARV was significantly associated with WMH progression (β = 0.144, 95%CI: 0.030-0.258), most profound in participants with low cerebral perfusion at baseline (p-interaction = 0.042). In conclusion, absent diastolic nocturnal dipping and 24-hour diastolic ARV were associated with higher WMH volume. Whilst requiring replication, these findings suggest that blood pressure patterns and variability may be a target for prevention of small vessel disease.
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Affiliation(s)
- Naomi Lp Starmans
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Frank J Wolters
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Annebet E Leeuwis
- Alzheimer Centre Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, VU University Medical Centre, Amsterdam, the Netherlands
| | - Esther E Bron
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | | | - Julie Staals
- Department of Neurology and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - L Jaap Kappelle
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht, the Netherlands
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27
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Woldstad C, Rusinek H, Sweeney E, Butler T, Li Y, Tanzi E, Mardy C, Harvey P, de Leon MJ, Glodzik L. Quadratic relationship between systolic blood pressure and white matter lesions in individuals with hypertension. J Hypertens 2023; 41:35-43. [PMID: 36204999 PMCID: PMC9794123 DOI: 10.1097/hjh.0000000000003292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 07/07/2022] [Accepted: 07/12/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND There is a well documented relationship between cardiovascular risk factors and the development of brain injury, which can lead to cognitive dysfunction. Hypertension (HTN) is a condition increasing the risk of silent and symptomatic ischemic brain lesions. Although benefits of hypertension treatment are indisputable, the target blood pressure value where the possibility of tissue damage is most reduced remains under debate. METHOD Our group performed a cross-sectional ( n = 376) and longitudinal ( n = 188) study of individuals without dementia or stroke (60% women n = 228, age 68.5 ± 7.4 years; men n = 148, age 70.7 ± 6.9 years). Participants were split into hypertensive ( n = 169) and normotensive ( n = 207) groups. MR images were obtained on a 3T system. Linear modeling was performed in hypertensive and normotensive cohorts to investigate the relationship between systolic (SBP) and diastolic (DBP) blood pressure, white matter lesion (WML), and brain volumes. RESULTS Participants in the hypertensive cohort showed a quadratic relationship between SBP and WML, with the lowest amounts of WML being measured in participants with readings at approximately 124 mmHg. Additionally, the hypertensive cohort also exhibited a quadratic relationship between DBP and mean hippocampal volume; participants with readings at approximately 77 mmHg showing the largest volumes. Longitudinally, all groups experienced WML growth, despite different BP trajectories, further suggesting that WML expansion may occur despite or because of BP reduction in individuals with compromised vascular system. CONCLUSION Overall, our study suggests that in the hypertensive group there is a valley of mid-range blood pressures displaying less pathology in the brain.
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Affiliation(s)
| | | | - Elizabeth Sweeney
- Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine
| | - Tracy Butler
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine
| | - Yi Li
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine
| | - Emily Tanzi
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine
| | - Christopher Mardy
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine
| | - Patrick Harvey
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine
| | - Mony J. de Leon
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine
| | - Lidia Glodzik
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine
- Department of Psychiatry, NYU School of Medicine, New York, NY, USA
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28
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Lee LH, Wu SC, Ho CF, Liang WL, Liu YC, Chou CJ. White matter hyperintensities in cholinergic pathways may predict poorer responsiveness to acetylcholinesterase inhibitor treatment for Alzheimer's disease. PLoS One 2023; 18:e0283790. [PMID: 37000849 PMCID: PMC10065432 DOI: 10.1371/journal.pone.0283790] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 03/19/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Acetylcholinesterase inhibitor (AChEI) drug regimens are the mainstay treatment options for patients with Alzheimer's disease (AD). Herein, We examined the association between clinical response to AChEI and white matter hyperintensities on magnetic resonance imaging (MRI) scan at baseline. METHODS Between 2020 and 2021, we recruited 101 individuals with a clinical diagnosis of probable AD. Each participant underwent complete neuropsychological testing and 3T (Telsa) brain magnetic resonance imaging. Responsiveness to AChEI, as assessed after 12 months, was designated as less than two points of regression in Mini-Mental State Examination scores (MMSE) and stable clinical dementia rating scale. We also evaluated MRI images by examining scores on the Cholinergic Pathways Hyperintensities Scale (CHIPS), Fazekas scale, and medial temporal atrophy (MTA) scale. RESULTS In our cohort, 52 patients (51.4%) were classified as responders. We observed significantly higher CHIPS scores in the nonresponder group (21.1 ± 12.9 vs. 14.9 ± 9.2, P = 0.007). Age at baseline, education level, sex, Clinical Dementia Rating sum of boxes scores, and three neuroimaging parameters were tested in regression models. Only CHIPS scores predicted clinical response to AChEI treatment. CONCLUSION WMHs in the cholinergic pathways, not diffuse white matter lesions or hippocampal atrophy, correlated with poorer responsiveness to AChEI treatment. Therefore, further investigation into the role of the cholinergic pathway in AD is warranted.
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Affiliation(s)
- Li-Hua Lee
- Department of Neurology, Cardinal Tien Hospital, New Taipei City, Taipei, Taiwan
| | - Shu-Ching Wu
- Department of Neurology, Cardinal Tien Hospital, New Taipei City, Taipei, Taiwan
| | - Cheng-Feng Ho
- Department of Radiology, Cardinal Tien Hospital, New Taipei City, Taipei, Taiwan
| | - Wan-Lin Liang
- Department of Medical Research, Far Eastern Hospital, New Taipei City, Taipei, Taiwan
| | - Yi-Chien Liu
- Department of Neurology, Cardinal Tien Hospital, New Taipei City, Taipei, Taiwan
- Department of Education and Research, Medical school of Fu-Jen University, New Taipei City, Taipei, Taiwan
- Geriatric Behavioral Neurology Project, Tohoku University New Industry Hatchery Center (NICHe), Sendai, Japan
- * E-mail:
| | - Chia-Ju Chou
- Department of Neurology, Cardinal Tien Hospital, New Taipei City, Taipei, Taiwan
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29
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Wang H, Xia H, Wang D, Guo Y, Wang X, Yu Y, Zhang C, Liu, Z. Serum lipoprotein phospholipase A2 level has diagnostic value for cognitive impairment in type II diabetes patients with white matter hyperintensity. ALL LIFE 2022. [DOI: 10.1080/26895293.2022.2101550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Affiliation(s)
- Haipeng Wang
- Department of Neurology, the First Affiliated Hospital of Qiqihar Medical University, 26 Xiangyang Street, Qiqihar 161041, People’s Republic of China
| | - Haimiao Xia
- Department of Neurology, the First Affiliated Hospital of Qiqihar Medical University, 26 Xiangyang Street, Qiqihar 161041, People’s Republic of China
| | - Dongxia Wang
- Department of Neurology, the First Affiliated Hospital of Qiqihar Medical University, 26 Xiangyang Street, Qiqihar 161041, People’s Republic of China
| | - Yu Guo
- Department of Neurology, the First Affiliated Hospital of Qiqihar Medical University, 26 Xiangyang Street, Qiqihar 161041, People’s Republic of China
| | - Xiaoyu Wang
- Department of Neurology, the First Affiliated Hospital of Qiqihar Medical University, 26 Xiangyang Street, Qiqihar 161041, People’s Republic of China
| | - Yue Yu
- Department of Neurology, the First Affiliated Hospital of Qiqihar Medical University, 26 Xiangyang Street, Qiqihar 161041, People’s Republic of China
| | - Chengshi Zhang
- Department of Neurology, the First Affiliated Hospital of Qiqihar Medical University, 26 Xiangyang Street, Qiqihar 161041, People’s Republic of China
| | - Zhongjin Liu,
- Department of Neurology, the First Affiliated Hospital of Qiqihar Medical University, 26 Xiangyang Street, Qiqihar 161041, People’s Republic of China
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30
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Rimmele DL, Petersen EL, Schlemm E, Kessner SS, Petersen M, Mayer C, Cheng B, Zeller T, Waldeyer C, Behrendt CA, Gerloff C, Thomalla G. Association of Carotid Plaque and Flow Velocity With White Matter Integrity in a Middle-aged to Elderly Population. Neurology 2022; 99:e2699-e2707. [PMID: 36123124 DOI: 10.1212/wnl.0000000000201297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/10/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES It is uncertain whether there is an association of carotid plaques (CPs) and flow velocities with peak width mean diffusivity (PSMD) and white matter hyperintensities (WMH) independent of shared risk factors. We aimed to study this association controlling for biomarkers of inflammation and cardiac dysfunction and typical cardiovascular risk factors and spatial distribution. METHODS We included participants from the population-based Hamburg City Health Study, recruiting citizens between 45 and 74 years of age. Medical history was obtained from structured interviews and extended laboratory tests, physical examinations, MRI of the head, echocardiography, and abdominal and carotid ultrasound were performed. We performed multivariable regression analysis with PSMD and periventricular, deep, and total volume of WMH (pWMH, dWMH, tWMH) as dependent variables. PSMD was calculated as the difference between the 95th and 5th percentiles of MD values on the white skeleton in standard space. Volumes of WMH were determined by the application of a manually trained k-nearest neighbor segmentation algorithm. WMH measured within a distance of 1 cm from the surface of the lateral ventricles were defined as pWMH and above 1 cm as dWMH. RESULTS Two thousand six hundred twenty-three participants were included. The median age was 65 years, and 56% were women. Their median tWMH was 946 mm3(IQR:419, 2,164), PSMD 2.24 mm2/s × 10-4 (IQR: 2.04, 2.47), peak systolic velocity (PSV) of internal carotid arteries 0.70m/second (IQR:0.60, 0.81), and 35% had CPs. Adjusted for age, sex, high-sensitive CRP, NT-proBNP, and commonly measured cardiovascular risk and systemic hemodynamic factors, both CPs (B = 0.15; CI: 0.04, 0.26; p = 0.006) and low PSV (B = -0.49; CI: -0.87, -0.11; p = 0.012) were significantly associated with a higher tWMH and PSMD. Low PSV (B = -0.48; CI: -0.87, -0.1; p = 0.013) was associated with pWMH and the presence of CP with pWMH (B = 0.15; CI: 0.04, 0.26; p = 0.008) and dWMH (B = 0.42; CI: 0.11, 0.74; p < 0.009). DISCUSSION Low PSV and CP are associated with WMH and PSMD independent of cardiovascular risk factors and biomarkers of inflammation and cardiac dysfunction. This points toward pathophysiologic pathways underlying both large and small vessel disease beyond the common cardiovascular risk profile. TRIAL REGISTRATION INFORMATION The trial was submitted at clinicaltrials.gov, under NCT03934957 on January 4, 2019. The first participant was enrolled in February 2016.
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Affiliation(s)
- David Leander Rimmele
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany.
| | - Elina Larissa Petersen
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Eckhard Schlemm
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Simon S Kessner
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Marvin Petersen
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Carola Mayer
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Bastian Cheng
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Tanja Zeller
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Christoph Waldeyer
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Christian-Alexander Behrendt
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Christian Gerloff
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
| | - Götz Thomalla
- From the Department of Neurology (D.L.R., E.S., S.S.K., M.P., C.M., B.C., C.G., G.T.) and Epidemiological Study Center (E.L.P.), University Medical Center Hamburg-Eppendorf, Hamburg; Departments of Cardiology (T.Z., C.W.) and Vascular Medicine (C.-A.B.), University Heart and Vascular Center UKE Hamburg; and German Center for Cardiovascular Research (DZHK) Partner Site Hamburg/Kiel/Lübeck (T.Z., C.W.), Germany
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31
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Han H, Lin Z, Soldan A, Pettigrew C, Betz JF, Oishi K, Li Y, Liu P, Albert M, Lu H. Longitudinal Changes in Global Cerebral Blood Flow in Cognitively Normal Older Adults: A Phase-Contrast MRI Study. J Magn Reson Imaging 2022; 56:1538-1545. [PMID: 35218111 PMCID: PMC9411265 DOI: 10.1002/jmri.28133] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/14/2022] [Accepted: 02/14/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Characterization of blood supply changes in older individuals is important in understanding brain aging and diseases. However, prior studies largely focused on cross-sectional design, thus change in cerebral blood flow (CBF) could not be assessed on an individual level. PURPOSE To evaluate longitudinal short-term changes in global CBF in cognitively normal older adults. STUDY TYPE Prospective, longitudinal, and cohort. POPULATION One-hundred twenty-seven cognitive-normal participants (mean age 69 ± 7 years, 47 males) underwent serial MRI with an average follow-up time of 2.1 years. FIELD STRENGTH/SEQUENCE 3 T phase-contrast (PC), three-dimensional magnetization-prepared-rapid-acquisition-of-gradient-echo (MPRAGE) and fluid-attenuated inversion recovery (FLAIR) MRI. ASSESSMENT Total CBF was measured with PC MRI allowing assessment of quantitative flow in four major feeding arteries by a trained radiologist with >3 years' experience (O.K.). Brain volume was obtained from MPRAGE MRI and measured by T1-MultiAtlas MRICloud tool. The ratio between total CBF and brain volume yielded global CBF in mL/100 g/min. White matter hyperintensity (WMH) was measured automatically using a Bayesian probability approach on FLAIR. STATISTICAL TESTS Linear mixed effect model was used to simultaneously assess cross-sectional age-differences and longitudinal age-changes in CBF. Spearman rank correlation was used to evaluate the relationship between CBF change and WMH progression. A P-value of <0.05 (two-tailed) was considered significant. RESULTS Global CBF decreased with age at a longitudinal rate of -0.56 mL/100 g/min/year (95% confidence interval [CI]: -1.09, -0.03), compared to a cross-sectional rate of -0.26 mL/100 g/min/year (95% CI: -0.41, -0.11). Changes in CBF were significantly associated with progression of WMH (Spearman rank correlation r = -0.25), as those participants who had a more rapid CBF reduction had greater increases in WMH volumes and the relationship remained significant when adjusting for baseline vascular risk scores. Additionally, age-related changes in whole-brain volume were found to be -0.151%/year (95% CI: -0.186, -0.116). DATA CONCLUSION These findings suggest that brain aging in older adults is accompanied by a rapid longitudinal reduction in CBF, the rate of which is associated with white matter damage. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
- The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Zixuan Lin
- The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Joshua F. Betz
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Kumiko Oishi
- Center for Imaging Science, Johns Hopkins University, Whiting School of Engineering, Baltimore, MD, United States
| | - Yang Li
- The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Peiying Liu
- The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Hanzhang Lu
- The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
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Sekikawa A, Wharton W, Butts B, Veliky CV, Garfein J, Li J, Goon S, Fort A, Li M, Hughes TM. Potential Protective Mechanisms of S-equol, a Metabolite of Soy Isoflavone by the Gut Microbiome, on Cognitive Decline and Dementia. Int J Mol Sci 2022; 23:11921. [PMID: 36233223 PMCID: PMC9570153 DOI: 10.3390/ijms231911921] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/27/2022] [Accepted: 10/01/2022] [Indexed: 11/16/2022] Open
Abstract
S-equol, a metabolite of soy isoflavone daidzein transformed by the gut microbiome, is the most biologically potent among all soy isoflavones and their metabolites. Soy isoflavones are phytoestrogens and exert their actions through estrogen receptor-β. Epidemiological studies in East Asia, where soy isoflavones are regularly consumed, show that dietary isoflavone intake is inversely associated with cognitive decline and dementia; however, randomized controlled trials of soy isoflavones in Western countries did not generally show their cognitive benefit. The discrepant results may be attributed to S-equol production capability; after consuming soy isoflavones, 40-70% of East Asians produce S-equol, whereas 20-30% of Westerners do. Recent observational and clinical studies in Japan show that S-equol but not soy isoflavones is inversely associated with multiple vascular pathologies, contributing to cognitive impairment and dementia, including arterial stiffness and white matter lesion volume. S-equol has better permeability to the blood-brain barrier than soy isoflavones, although their affinity to estrogen receptor-β is similar. S-equol is also the most potent antioxidant among all known soy isoflavones. Although S-equol is available as a dietary supplement, no long-term trials in humans have examined the effect of S-equol supplementation on arterial stiffness, cerebrovascular disease, cognitive decline, or dementia.
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Affiliation(s)
- Akira Sekikawa
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Whitney Wharton
- School of Nursing and Medicine, Emory University, Atlanta, GA 30322, USA
| | - Brittany Butts
- School of Nursing and Medicine, Emory University, Atlanta, GA 30322, USA
| | - Cole V. Veliky
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Joshua Garfein
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Jiatong Li
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Shatabdi Goon
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Annamaria Fort
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Mengyi Li
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Timothy M. Hughes
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
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HUNG STANLEYHUGHWA, KHLIF MOHAMEDSALAH, KRAMER SHARON, WERDEN EMILIO, BIRD LAURAJ, CAMPBELL BRUCECV, BRODTMANN AMY. Poststroke White Matter Hyperintensities and Physical Activity: A CANVAS Study Exploratory Analysis. Med Sci Sports Exerc 2022; 54:1401-1409. [DOI: 10.1249/mss.0000000000002946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Lu W, Yu C, Wang L, Wang F, Qiu J. Perfusion heterogeneity of cerebral small vessel disease revealed via arterial spin labeling MRI and machine learning. Neuroimage Clin 2022; 36:103165. [PMID: 36037662 PMCID: PMC9434130 DOI: 10.1016/j.nicl.2022.103165] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/09/2022] [Accepted: 08/22/2022] [Indexed: 12/14/2022]
Abstract
Cerebral small vessel disease (CSVD) is associated with altered cerebral perfusion. However, global and regional cerebral blood flow (CBF) are highly heterogeneous across CSVD patients. The aim of this study was to identify subtypes of CSVD with different CBF patterns using an advanced machine learning approach. 121 CSVD patients and 53 healthy controls received arterial spin label MRI, T1 structural MRI and clinical measurements. Regional CBF were used to identify distinct perfusion subtypes of CSVD via a semi-supervised machine learning algorithm. Statistical analyses were used to explore alterations in CBF, clinical measures, gray and white matter volume between healthy controls and different subtypes of CSVD. Correlation analysis was used to assess the association between clinical measures and altered CBF in each CSVD subtype. Three subtypes of CSVD with distinct CBF patterns were found. Subtype 1 showed decreased CBF in the temporal lobe and increased CBF in the parietal and occipital lobe. Subtype 2 exhibited decreased CBF in the right hemisphere of the brain, and increased CBF in the left cerebrum. Subtype 3 demonstrated decreased CBF in the posterior part of the brain, and increased CBF in anterior part of the brain. The three subtypes also differed significantly in gender (p = 0.005), the proportion of subjects with lacune (p = 0.002), with periventricular white matter hyperintensity (p = 0.043), and CSVD burden score (p = 0.048). In subtype 3, it was found that widespread decreased CBF was correlated with total CSVD burden score (r = -0.324, p = 0.029). Compared with healthy controls, the three CSVD subtypes also showed distinct volumetric patterns of white matter. The current results associate different subtypes with different clinical and imaging phenotypes, which can improve the understanding of brain perfusion alterations of CSVD and can facilitate precision diagnosis of CSVD.
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Affiliation(s)
- Weizhao Lu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China,School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Chunyan Yu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Liru Wang
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Feng Wang
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China,Corresponding authors at: No. 706 Taishan Street, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China (F. Wang). No. 619 Changcheng Road, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, China (J. Qiu).
| | - Jianfeng Qiu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China,School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China,Corresponding authors at: No. 706 Taishan Street, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China (F. Wang). No. 619 Changcheng Road, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, China (J. Qiu).
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35
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Han H, Ning Z, Yang D, Yu M, Qiao H, Chen S, Chen Z, Li D, Zhang R, Liu G, Zhao X. Associations between cerebral blood flow and progression of white matter hyperintensity in community-dwelling adults: a longitudinal cohort study. Quant Imaging Med Surg 2022; 12:4151-4165. [PMID: 35919044 PMCID: PMC9338364 DOI: 10.21037/qims-22-141] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 05/27/2022] [Indexed: 12/05/2022]
Abstract
Background White matter hyperintensity (WMH) is prevalent in elderly populations. Ischemia is characterized by a decline in cerebral blood flow (CBF) and may play a key role in the pathogenesis of WMH. However, the association between CBF reduction and WMH progression remains controversial. This study aimed to investigate the association between CBF and the progression of WMH at a 2-year follow-up of community-based, asymptomatic adults in a longitudinal cohort study across the lifespan. Methods Asymptomatic adults who participated in a community-based study were recruited and underwent brain structural and perfusion magnetic resonance imaging (MRI) at baseline and at a 2-year follow-up visit. The CBF was measured on pseudo-continuous arterial spin-labeling (pCASL) MRI. The WMH was evaluated on T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) images. Tissue segmentation was conducted on T1-weighted (T1W) images to derive binary masks of gray matter and normal-appearing white matter. Linear mixed effect models were conducted to analyze the cross-sectional and longitudinal associations between CBF and WMH. Results A total of 229 adults (mean age 57.3±12.6 years; 94 males) were enrolled at baseline, among whom 84 participants (mean age 54.1±11.9 years; 41 males) completed a follow-up visit with a mean time interval of 2.77±0.44 years. At baseline, there was a decreasing trend in gray matter (GM) CBF with an increase of WMH burden (P=0.063), but this association was attenuated after adjusting for age (P=0.362). In the longitudinal analysis, baseline WMH volume was significantly associated with the reduction of perfusion in GM [coefficient =−1.96, 95% confidence interval (CI): −3.25 to −0.67; P=0.004] and normal appearing white matter (coefficient =−0.99, 95% CI: −1.66 to −0.31; P=0.005) during follow-up. On the contrary, neither baseline CBF in GM (P=0.888) nor normal appearing white matter (P=0.850) was associated with WMH progression. In addition, CBF changes within WMH were significantly associated with both baseline (coefficient =−0.014, 95% CI: −0.025 to −0.003; P=0.017) and progression (coefficient =−1.01, 95% CI: −1.81 to −0.20; P=0.015) of WMH volume. Conclusions A WMH burden was not found to be directly associated with cortex perfusion at baseline due to the effects of age on both CBF and WMH. However, baseline WMH volume could predict the reduction of perfusion.
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Affiliation(s)
- Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Dandan Yang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.,Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Miaoxin Yu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Zhensen Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.,Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Dongye Li
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Runhua Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
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Pearson AG, Miller KB, Corkery AT, Eisenmann NA, Howery AJ, Cody KA, Chin NA, Johnson SC, Barnes JN. Sympathoexcitatory Responses to Isometric Handgrip Exercise Are Associated With White Matter Hyperintensities in Middle-Aged and Older Adults. Front Aging Neurosci 2022; 14:888470. [PMID: 35898329 PMCID: PMC9309556 DOI: 10.3389/fnagi.2022.888470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/05/2022] [Indexed: 11/13/2022] Open
Abstract
Vascular dysfunction may occur prior to declines in cognitive function and accumulation of neuropathology. White matter hyperintensities (WMH) develop due to cerebral ischemia and elevated blood pressure in midlife. The purpose of this study was to evaluate associations between cardiovascular and cerebrovascular responses to sympathoexcitatory stimuli and WMH burden in cognitively unimpaired middle-aged and older adults. Sixty-eight adults (age = 63 ± 4y, men = 20, women = 48) participated in this study. Participants completed isometric handgrip exercise (IHG) exercise at 40% of maximal voluntary contraction until fatigue followed by a 90s period of post-exercise ischemia. Heart rate (HR), mean arterial pressure (MAP), middle cerebral artery blood velocity (MCAv), and end-tidal CO2 were continuously measured throughout the protocol. Cerebrovascular resistance index (CVRi) was calculated as MAP/MCAv. WMH lesion volume and intracranial volume (ICV) were measured using a FLAIR and T1 scan on a 3T MRI scanner, respectively. WMH fraction was calculated as (WMH lesion volume/ICV)*100 and cubic root transformed. Multiple linear regressions were used to determine the association between cardiovascular and cerebrovascular responses to IHG exercise and post-exercise ischemia and WMH fraction. Multiple linear regression models were adjusted for age, sex, apolipoprotein ε4 status, and total work performed during IHG exercise. During IHG exercise, there were significant increases from baseline in HR (25 ± 12%), MAP (27 ± 11%), MCAv (5 ± 10%), and CVRi (22 ± 17%; P < 0.001 for all). During post-exercise ischemia, HR (8 ± 7%), MAP (22 ± 9%), and CVRi (23 ± 16%) remained elevated (P < 0.001) while MCAv (0 ± 10%) was not different compared to baseline. There was an inverse association between the percent change in HR (r = −0.42, P = 0.002), MAP (r = −0.41, P = 0.002), and CVRi (r = −0.31, P = 0.045), but not MCAv (r = 0.19, P = 0.971) in response to IHG exercise and WMH fraction. There were no associations between responses to post-exercise ischemia and WMH fraction. Lower sympathoexcitatory responses to IHG exercise are associated with greater WMH burden in middle-aged to older adults. These findings suggest that individuals who demonstrate smaller increases in HR, MAP, and CVRi in response to sympathoexcitatory stress have greater WMH burden.
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Affiliation(s)
- Andrew G. Pearson
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Kathleen B. Miller
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Adam T. Corkery
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Nicole A. Eisenmann
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Anna J. Howery
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Karly A. Cody
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
| | - Nathaniel A. Chin
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
- Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
| | - Sterling C. Johnson
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
- Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
- Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, WI, United States
| | - Jill N. Barnes
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
- *Correspondence: Jill N. Barnes,
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Xu W, Bai Q, Dong Q, Guo M, Cui M. Blood–Brain Barrier Dysfunction and the Potential Mechanisms in Chronic Cerebral Hypoperfusion Induced Cognitive Impairment. Front Cell Neurosci 2022; 16:870674. [PMID: 35783093 PMCID: PMC9243657 DOI: 10.3389/fncel.2022.870674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Chronic cerebral hypoperfusion (CCH) is a major cause of vascular cognitive impairment and dementia (VCID). Although the underlying mechanisms have not been fully elucidated, the emerging data suggest that blood–brain barrier (BBB) dysfunction is one of the pivotal pathological changes in CCH. BBB dysfunction appears early in CCH, contributing to the deterioration of white matter and the development of cognitive impairment. In this review, we summarize the latest experimental and clinical evidence implicating BBB disruption as a major cause of VCID. We discuss the mechanisms of BBB dysfunction in CCH, focusing on the cell interactions within the BBB, as well as the potential role of APOE genotype. In summary, we provide novel insights into the pathophysiological mechanisms underlying BBB dysfunction and the potential clinical benefits of therapeutic interventions targeting BBB in CCH.
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Affiliation(s)
- WenQing Xu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qingke Bai
- Department of Neurology, Pudong People’s Hospital, Shanghai, China
| | - Qiang Dong
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Min Guo
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- Min Guo,
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- *Correspondence: Mei Cui,
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38
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Kim WSH, Luciw NJ, Atwi S, Shirzadi Z, Dolui S, Detre JA, Nasrallah IM, Swardfager W, Bryan RN, Launer LJ, MacIntosh BJ. Associations of white matter hyperintensities with networks of gray matter blood flow and volume in midlife adults: A coronary artery risk development in young adults magnetic resonance imaging substudy. Hum Brain Mapp 2022; 43:3680-3693. [PMID: 35429100 PMCID: PMC9294299 DOI: 10.1002/hbm.25876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 12/02/2022] Open
Abstract
White matter hyperintensities (WMHs) are emblematic of cerebral small vessel disease, yet effects on the brain have not been well characterized at midlife. Here, we investigated whether WMH volume is associated with brain network alterations in midlife adults. Two hundred and fifty‐four participants from the Coronary Artery Risk Development in Young Adults study were selected and stratified by WMH burden into Lo‐WMH (mean age = 50 ± 3.5 years) and Hi‐WMH (mean age = 51 ± 3.7 years) groups of equal size. We constructed group‐level covariance networks based on cerebral blood flow (CBF) and gray matter volume (GMV) maps across 74 gray matter regions. Through consensus clustering, we found that both CBF and GMV covariance networks partitioned into modules that were largely consistent between groups. Next, CBF and GMV covariance network topologies were compared between Lo‐ and Hi‐WMH groups at global (clustering coefficient, characteristic path length, global efficiency) and regional (degree, betweenness centrality, local efficiency) levels. At the global level, there were no between‐group differences in either CBF or GMV covariance networks. In contrast, we found between‐group differences in the regional degree, betweenness centrality, and local efficiency of several brain regions in both CBF and GMV covariance networks. Overall, CBF and GMV covariance analyses provide evidence that WMH‐related network alterations are present at midlife.
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Affiliation(s)
- William S. H. Kim
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Nicholas J. Luciw
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Sarah Atwi
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Zahra Shirzadi
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Sudipto Dolui
- Center for Functional Neuroimaging University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA
| | - John A. Detre
- Center for Functional Neuroimaging University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Ilya M. Nasrallah
- Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Walter Swardfager
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
- Canadian Partnership for Stroke Recovery Sunnybrook Research Institute Toronto Ontario Canada
- Department of Pharmacology and Toxicology University of Toronto Toronto Ontario Canada
- Toronto Rehabilitation Institute, University Health Network Toronto Ontario Canada
- Dr. Sandra Black Centre for Brain Resilience & Recovery Sunnybrook Research Institute Toronto Ontario Canada
| | - Robert Nick Bryan
- Department of Diagnostic Medicine University of Texas Austin Texas USA
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Science National Institute on Aging Bethesda Maryland USA
| | - Bradley J. MacIntosh
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
- Canadian Partnership for Stroke Recovery Sunnybrook Research Institute Toronto Ontario Canada
- Dr. Sandra Black Centre for Brain Resilience & Recovery Sunnybrook Research Institute Toronto Ontario Canada
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Ford JN, Zhang Q, Sweeney EM, Merkler AE, de Leon MJ, Gupta A, Nguyen TD, Ivanidze J. Quantitative Water Permeability Mapping of Blood-Brain-Barrier Dysfunction in Aging. Front Aging Neurosci 2022; 14:867452. [PMID: 35462701 PMCID: PMC9024318 DOI: 10.3389/fnagi.2022.867452] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/10/2022] [Indexed: 11/13/2022] Open
Abstract
Blood-brain-barrier (BBB) dysfunction is a hallmark of aging and aging-related disorders, including cerebral small vessel disease and Alzheimer's disease. An emerging biomarker of BBB dysfunction is BBB water exchange rate (kW) as measured by diffusion-weighted arterial spin labeling (DW-ASL) MRI. We developed an improved DW-ASL sequence for Quantitative Permeability Mapping and evaluated whole brain and region-specific kW in a cohort of 30 adults without dementia across the age spectrum. In this cross-sectional study, we found higher kW values in the cerebral cortex (mean = 81.51 min-1, SD = 15.54) compared to cerebral white matter (mean = 75.19 min-1, SD = 13.85) (p < 0.0001). We found a similar relationship for cerebral blood flow (CBF), concordant with previously published studies. Multiple linear regression analysis with kW as an outcome showed that age was statistically significant in the cerebral cortex (p = 0.013), cerebral white matter (p = 0.033), hippocampi (p = 0.043), orbitofrontal cortices (p = 0.042), and precunei cortices (p = 0.009), after adjusting for sex and number of vascular risk factors. With CBF as an outcome, age was statistically significant only in the cerebral cortex (p = 0.026) and precunei cortices (p = 0.020). We further found moderate negative correlations between white matter hyperintensity (WMH) kW and WMH volume (r = -0.51, p = 0.02), and normal-appearing white matter (NAWM) and WMH volume (r = -0.44, p = 0.05). This work illuminates the relationship between BBB water exchange and aging and may serve as the basis for BBB-targeted therapies for aging-related brain disorders.
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Affiliation(s)
- Jeremy N. Ford
- Department of Radiology, Massachusetts General Hospital, Boston, MA, United States,Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Qihao Zhang
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Elizabeth M. Sweeney
- Department of Biostatistics, University of Pennsylvania, Philadelphia, PA, United States
| | | | - Mony J. de Leon
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Ajay Gupta
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Thanh D. Nguyen
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Jana Ivanidze
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States,*Correspondence: Jana Ivanidze,
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40
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Dolui S, Detre JA, Gaussoin SA, Herrick JS, Wang DJJ, Tamura MK, Cho ME, Haley WE, Launer LJ, Punzi HA, Rastogi A, Still CH, Weiner DE, Wright JT, Williamson JD, Wright CB, Bryan RN, Bress AP, Pajewski NM, Nasrallah IM. Association of Intensive vs Standard Blood Pressure Control With Cerebral Blood Flow: Secondary Analysis of the SPRINT MIND Randomized Clinical Trial. JAMA Neurol 2022; 79:380-389. [PMID: 35254390 PMCID: PMC8902686 DOI: 10.1001/jamaneurol.2022.0074] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
IMPORTANCE Antihypertensive treatments benefit cerebrovascular health and cognitive function in patients with hypertension, but it is uncertain whether an intensive blood pressure target leads to potentially harmful cerebral hypoperfusion. OBJECTIVE To investigate the association of intensive systolic blood pressure (SBP) control vs standard control with whole-brain cerebral blood flow (CBF). DESIGN, SETTING, AND PARTICIPANTS This substudy of the Systolic Blood Pressure Intervention Trial (SPRINT) randomized clinical trial compared the efficacy of 2 different blood pressure-lowering strategies with longitudinal brain magnetic resonance imaging (MRI) including arterial spin labeled perfusion imaging to quantify CBF. A total of 1267 adults 50 years or older with hypertension and increased cardiovascular risk but free of diabetes or dementia were screened for the SPRINT substudy from 6 sites in the US. Randomization began in November 2010 with final follow-up MRI in July 2016. Analyses were performed from September 2020 through December 2021. INTERVENTIONS Study participants with baseline CBF measures were randomized to an intensive SBP target less than 120 mm Hg or standard SBP target less than 140 mm Hg. MAIN OUTCOMES AND MEASURES The primary outcome was change in whole-brain CBF from baseline. Secondary outcomes were change in gray matter, white matter, and periventricular white matter CBF. RESULTS Among 547 participants with CBF measured at baseline, the mean (SD) age was 67.5 (8.1) years and 219 (40.0%) were women; 315 completed follow-up MRI at a median (IQR) of 4.0 (3.7-4.1) years after randomization. Mean whole-brain CBF increased from 38.90 to 40.36 (difference, 1.46 [95% CI, 0.08-2.83]) mL/100 g/min in the intensive treatment group, with no mean increase in the standard treatment group (37.96 to 37.12; difference, -0.84 [95% CI, -2.30 to 0.61] mL/100 g/min; between-group difference, 2.30 [95% CI, 0.30-4.30; P = .02]). Gray, white, and periventricular white matter CBF showed similar changes. The association of intensive vs standard treatment with CBF was generally similar across subgroups defined by age, sex, race, chronic kidney disease, SBP, orthostatic hypotension, and frailty, with the exception of an indication of larger mean increases in CBF associated with intensive treatment among participants with a history of cardiovascular disease (interaction P = .05). CONCLUSIONS AND RELEVANCE Intensive vs standard antihypertensive treatment was associated with increased, rather than decreased, cerebral perfusion, most notably in participants with a history of cardiovascular disease. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01206062.
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Affiliation(s)
- Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia.,Department of Neurology, University of Pennsylvania, Philadelphia
| | - Sarah A Gaussoin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jennifer S Herrick
- Department of Population Health Sciences, University of Utah, Salt Lake City
| | - Danny J J Wang
- Laboratory of FMRI Technology, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles.,Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles
| | - Manjula Kurella Tamura
- Geriatric Research and Education Clinical Center, Palo Alto Veterans Affairs Health Care System, Palo Alto, California.,Division of Nephrology, Stanford University School of Medicine, Palo Alto, California
| | - Monique E Cho
- Division of Nephrology and Hypertension, University of Utah, Salt Lake City
| | - William E Haley
- Department of Nephrology and Hypertension, Mayo Clinic, Jacksonville, Florida
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, Baltimore, Maryland
| | - Henry A Punzi
- Trinity Hypertension and Metabolic Research Institute, Punzi Medical Center, Carrollton, Texas.,Department of Family and Community Medicine, University of Texas Southwestern Medical Center, Dallas
| | - Anjay Rastogi
- Department of Medicine, University of California at Los Angeles School of Medicine, Los Angeles
| | - Carolyn H Still
- Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio
| | - Daniel E Weiner
- William B. Schwartz, MD, Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Jackson T Wright
- Division of Nephrology and Hypertension, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Jeff D Williamson
- Sticht Center on Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Clinton B Wright
- Stroke Branch (intramural)/Division of Clinical Research (extramural), National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - R Nick Bryan
- Department of Diagnostic Medicine; Dell Medical School, University of Texas at Austin, Austin
| | - Adam P Bress
- Department of Population Health Sciences, University of Utah, Salt Lake City
| | - Nicholas M Pajewski
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ilya M Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia
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41
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Small Vessel Disease: Ancient Description, Novel Biomarkers. Int J Mol Sci 2022; 23:ijms23073508. [PMID: 35408867 PMCID: PMC8998274 DOI: 10.3390/ijms23073508] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/20/2022] [Accepted: 03/21/2022] [Indexed: 12/22/2022] Open
Abstract
Small vessel disease (SVD) is one of the most frequent pathological conditions which lead to dementia. Biochemical and neuroimaging might help correctly identify the clinical diagnosis of this relevant brain disease. The microvascular alterations which underlie SVD have common origins, similar cognitive outcomes, and common vascular risk factors. Nevertheless, the arteriolosclerosis process, which underlines SVD development, is based on different mechanisms, not all completely understood, which start from a chronic hypoperfusion state and pass through a chronic brain inflammatory condition, inducing a significant endothelium activation and a consequent tissue remodeling action. In a recent review, we focused on the pathophysiology of SVD, which is complex, involving genetic conditions and different co-morbidities (i.e., diabetes, chronic hypoxia condition, and obesity). Currently, many points still remain unclear and discordant. In this paper, we wanted to focus on new biomarkers, which can be the expression of the endothelial dysfunction, or of the oxidative damage, which could be employed as markers of disease progression or for future targets of therapies. Therefore, we described the altered response to the endothelium-derived nitric oxide-vasodilators (ENOV), prostacyclin, C-reactive proteins, and endothelium-derived hyperpolarizing factors (EDHF). At the same time, due to the concomitant endothelial activation and chronic neuroinflammatory status, we described hypoxia-endothelial-related markers, such as HIF 1 alpha, VEGFR2, and neuroglobin, and MMPs. We also described blood–brain barrier disruption biomarkers and imaging techniques, which can also describe perivascular spaces enlargement and dysfunction. More studies should be necessary, in order to implement these results and give them a clinical benefit.
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42
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Wardlaw JM, Benveniste H, Williams A. Cerebral Vascular Dysfunctions Detected in Human Small Vessel Disease and Implications for Preclinical Studies. Annu Rev Physiol 2022; 84:409-434. [PMID: 34699267 DOI: 10.1146/annurev-physiol-060821-014521] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Cerebral small vessel disease (SVD) is highly prevalent and a common cause of ischemic and hemorrhagic stroke and dementia, yet the pathophysiology is poorly understood. Its clinical expression is highly varied, and prognostic implications are frequently overlooked in clinics; thus, treatment is currently confined to vascular risk factor management. Traditionally, SVD is considered the small vessel equivalent of large artery stroke (occlusion, rupture), but data emerging from human neuroimaging and genetic studies refute this, instead showing microvessel endothelial dysfunction impacting on cell-cell interactions and leading to brain damage. These dysfunctions reflect defects that appear to be inherited and secondary to environmental exposures, including vascular risk factors. Interrogation in preclinical models shows consistent and converging molecular and cellular interactions across the endothelial-glial-neural unit that increasingly explain the human macroscopic observations and identify common patterns of pathology despite different triggers. Importantly, these insights may offer new targets for therapeutic intervention focused on restoring endothelial-glial physiology.
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Affiliation(s)
- Joanna M Wardlaw
- Division of Neuroimaging Sciences, Centre for Clinical Brain Sciences; UK Dementia Research Institute; and Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom;
| | - Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Anna Williams
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, United Kingdom
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The Potential Impact of Neuroimaging and Translational Research on the Clinical Management of Lacunar Stroke. Int J Mol Sci 2022; 23:ijms23031497. [PMID: 35163423 PMCID: PMC8835925 DOI: 10.3390/ijms23031497] [Citation(s) in RCA: 70] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/20/2022] [Accepted: 01/24/2022] [Indexed: 12/21/2022] Open
Abstract
Lacunar infarcts represent one of the most frequent subtypes of ischemic strokes and may represent the first recognizable manifestation of a progressive disease of the small perforating arteries, capillaries, and venules of the brain, defined as cerebral small vessel disease. The pathophysiological mechanisms leading to a perforating artery occlusion are multiple and still not completely defined, due to spatial resolution issues in neuroimaging, sparsity of pathological studies, and lack of valid experimental models. Recent advances in the endovascular treatment of large vessel occlusion may have diverted attention from the management of patients with small vessel occlusions, often excluded from clinical trials of acute therapy and secondary prevention. However, patients with a lacunar stroke benefit from early diagnosis, reperfusion therapy, and secondary prevention measures. In addition, there are new developments in the knowledge of this entity that suggest potential benefits of thrombolysis in an extended time window in selected patients, as well as novel therapeutic approaches targeting different pathophysiological mechanisms involved in small vessel disease. This review offers a comprehensive update in lacunar stroke pathophysiology and clinical perspective for managing lacunar strokes, in light of the latest insights from imaging and translational studies.
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44
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Cerebral perfusion and the risk of cognitive decline and dementia in community dwelling older people. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2022; 3:100125. [PMID: 36324415 PMCID: PMC9616444 DOI: 10.1016/j.cccb.2022.100125] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/18/2022] [Accepted: 02/19/2022] [Indexed: 11/23/2022]
Abstract
Cerebral blood flow (CBF) and spatial coefficient of variation of the arterial transit time (ATT) are less sensitive markers of cognitive impairment and clinical dementia. Greater white matter hyperintensity volume (WMHV) was consistently associated with cognitive impairment and dementia, rendering it as a more sensitive longitudinal marker.
Background The arterial spin labeling-spatial coefficient of variation (sCoV) is a new vascular magnetic resonance imaging (MRI) parameter that could be a more sensitive marker for dementia-associated cerebral microvascular disease than the commonly used MRI markers cerebral blood flow (CBF) and white matter hyperintensity volume (WMHV). Methods 195 community-dwelling older people with hypertension were invited to undergo MRI twice, with a three-year interval. Cognition was evaluated every two years for 6-8 years using the mini-mental state examination (MMSE). We assessed relations of sCoV, CBF and WMHV with cognitive decline during follow-up. We also registered dementia diagnoses, up to 9 years after the first scan. In an additional analysis, we compared these MRI parameters between participants that did and did not develop dementia. Results 136/195 completed the second scan. sCoV and CBF were not associated with MMSE changes during 6-8 years of follow-up. Higher WMHV was associated with declining MMSE scores (-0.02 points/year/ml, 95%CI=-0.03 to -0.00). ScOv and CBF did not differ between participants who did (n=15) and did not (n=180) develop dementia, whereas higher WMHV was reported in participants who developed dementia after the first MRI (13.3 vs 6.1mL, p<0.001). There were no associations between longitudinal change in any of the MRI parameters and cognitive decline or subsequent dementia. Conclusion Global sCoV and CBF were less sensitive longitudinal markers of cognitive decline and dementia compared to WMHV in community-dwelling older people with hypertension. Larger longitudinal MRI perfusion studies are needed to identify possible (regional) patterns of cerebral perfusion preceding cognitive decline and dementia diagnosis.
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45
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Huang H, Zhao K, Zhu W, Li H, Zhu W. Abnormal Cerebral Blood Flow and Functional Connectivity Strength in Subjects With White Matter Hyperintensities. Front Neurol 2021; 12:752762. [PMID: 34744987 PMCID: PMC8564178 DOI: 10.3389/fneur.2021.752762] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/13/2021] [Indexed: 11/16/2022] Open
Abstract
White matter hyperintensities (WMHs) are common neuroimaging findings in the aging population and are associated with various clinical symptoms, especially cognitive impairment. Abnormal global cerebral blood flow (CBF) and specific functional connections have been reported in subjects with higher WMH loads. Nevertheless, the comprehensive functional mechanisms underlying WMH are yet to be established. In this study, by combining resting-state functional magnetic resonance imaging and arterial spin labeling, we investigated the neurovascular dysfunction in subjects with WMH in CBF, functional connectivity strength (FCS), and CBF–FCS coupling. The whole-brain alterations of all these measures were explored among non-dementia subjects with different WMH loads using a fine-grained Human Brainnetome Atlas. In addition, exploratory mediation analyses were conducted to further determine the relationships between these neuroimaging indicators, WMH load, and cognition. The results showed that subjects with higher WMH loads displayed decreased CBF and FCS mainly in regions involving the cognitive- and emotional-related brain networks, including the default mode network, salience network, and central executive network. Notably, subjects with higher WMH loads also showed an abnormal regional CBF–FCS coupling in several regions of the thalamus, posterior cingulate cortex, and parahippocampal gyrus involving the default mode network. Furthermore, regional CBF in the right inferior temporal gyrus and right dorsal caudate may mediate the relationship between WMH load and cognition in WMH subjects. These findings indicated characteristic changes in cerebral blood supply, brain activity, and neurovascular coupling in regions involving specific brain networks with the development of WMH, providing further information on pathophysiology underpinnings of the WMH and related cognitive impairment.
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Affiliation(s)
- Hao Huang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Zhao
- School of Biological Science & Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Li
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenhao Zhu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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46
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Jiménez-Sánchez L, Hamilton OKL, Clancy U, Backhouse EV, Stewart CR, Stringer MS, Doubal FN, Wardlaw JM. Sex Differences in Cerebral Small Vessel Disease: A Systematic Review and Meta-Analysis. Front Neurol 2021; 12:756887. [PMID: 34777227 PMCID: PMC8581736 DOI: 10.3389/fneur.2021.756887] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/04/2021] [Indexed: 01/12/2023] Open
Abstract
Background: Cerebral small vessel disease (SVD) is a common cause of stroke, mild cognitive impairment, dementia and physical impairments. Differences in SVD incidence or severity between males and females are unknown. We assessed sex differences in SVD by assessing the male-to-female ratio (M:F) of recruited participants and incidence of SVD, risk factor presence, distribution, and severity of SVD features. Methods: We assessed four recent systematic reviews on SVD and performed a supplementary search of MEDLINE to identify studies reporting M:F ratio in covert, stroke, or cognitive SVD presentations (registered protocol: CRD42020193995). We meta-analyzed differences in sex ratios across time, countries, SVD severity and presentations, age and risk factors for SVD. Results: Amongst 123 relevant studies (n = 36,910 participants) including 53 community-based, 67 hospital-based and three mixed studies published between 1989 and 2020, more males were recruited in hospital-based than in community-based studies [M:F = 1.16 (0.70) vs. M:F = 0.79 (0.35), respectively; p < 0.001]. More males had moderate to severe SVD [M:F = 1.08 (0.81) vs. M:F = 0.82 (0.47) in healthy to mild SVD; p < 0.001], and stroke presentations where M:F was 1.67 (0.53). M:F did not differ for recent (2015-2020) vs. pre-2015 publications, by geographical region, or age. There were insufficient sex-stratified data to explore M:F and risk factors for SVD. Conclusions: Our results highlight differences in male-to-female ratios in SVD severity and amongst those presenting with stroke that have important clinical and translational implications. Future SVD research should report participant demographics, risk factors and outcomes separately for males and females. Systematic Review Registration: [PROSPERO], identifier [CRD42020193995].
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Affiliation(s)
- Lorena Jiménez-Sánchez
- Translational Neuroscience PhD Programme, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Olivia K. L. Hamilton
- Translational Neuroscience PhD Programme, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
| | - Una Clancy
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Ellen V. Backhouse
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Catriona R. Stewart
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael S. Stringer
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Fergus N. Doubal
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Joanna M. Wardlaw
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom
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