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Uchida Y, Kan H, Sakurai K, Oishi K, Matsukawa N. Contributions of blood-brain barrier imaging to neurovascular unit pathophysiology of Alzheimer's disease and related dementias. Front Aging Neurosci 2023; 15:1111448. [PMID: 36861122 PMCID: PMC9969807 DOI: 10.3389/fnagi.2023.1111448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 01/26/2023] [Indexed: 02/11/2023] Open
Abstract
The blood-brain barrier (BBB) plays important roles in the maintenance of brain homeostasis. Its main role includes three kinds of functions: (1) to protect the central nervous system from blood-borne toxins and pathogens; (2) to regulate the exchange of substances between the brain parenchyma and capillaries; and (3) to clear metabolic waste and other neurotoxic compounds from the central nervous system into meningeal lymphatics and systemic circulation. Physiologically, the BBB belongs to the glymphatic system and the intramural periarterial drainage pathway, both of which are involved in clearing interstitial solutes such as β-amyloid proteins. Thus, the BBB is believed to contribute to preventing the onset and progression for Alzheimer's disease. Measurements of BBB function are essential toward a better understanding of Alzheimer's pathophysiology to establish novel imaging biomarkers and open new avenues of interventions for Alzheimer's disease and related dementias. The visualization techniques for capillary, cerebrospinal, and interstitial fluid dynamics around the neurovascular unit in living human brains have been enthusiastically developed. The purpose of this review is to summarize recent BBB imaging developments using advanced magnetic resonance imaging technologies in relation to Alzheimer's disease and related dementias. First, we give an overview of the relationship between Alzheimer's pathophysiology and BBB dysfunction. Second, we provide a brief description about the principles of non-contrast agent-based and contrast agent-based BBB imaging methodologies. Third, we summarize previous studies that have reported the findings of each BBB imaging method in individuals with the Alzheimer's disease continuum. Fourth, we introduce a wide range of Alzheimer's pathophysiology in relation to BBB imaging technologies to advance our understanding of the fluid dynamics around the BBB in both clinical and preclinical settings. Finally, we discuss the challenges of BBB imaging techniques and suggest future directions toward clinically useful imaging biomarkers for Alzheimer's disease and related dementias.
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Affiliation(s)
- Yuto Uchida
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States,*Correspondence: Yuto Uchida, ; Noriyuki Matsukawa,
| | - Hirohito Kan
- Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keita Sakurai
- Department of Radiology, National Center for Geriatrics and Gerontology, Ōbu, Aichi, Japan
| | - Kenichi Oishi
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Noriyuki Matsukawa
- Department of Neurology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan,*Correspondence: Yuto Uchida, ; Noriyuki Matsukawa,
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Libecap TJ, Zachariou V, Bauer CE, Wilcock DM, Jicha GA, Raslau FD, Gold BT. Enlarged Perivascular Spaces Are Negatively Associated With Montreal Cognitive Assessment Scores in Older Adults. Front Neurol 2022; 13:888511. [PMID: 35847209 PMCID: PMC9283758 DOI: 10.3389/fneur.2022.888511] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 06/06/2022] [Indexed: 11/30/2022] Open
Abstract
Emerging evidence suggests that enlarged perivascular spaces (ePVS) may be a clinically significant neuroimaging marker of global cognitive function related to cerebral small vessel disease (cSVD). We tested this possibility by assessing the relationship between ePVS and both a standardized measure of global cognitive function, the Montreal Cognitive Assessment (MoCA), and an established marker of cSVD, white matter hyperintensity volume (WMH) volume. One hundred and eleven community-dwelling older adults (56-86) underwent neuroimaging and MoCA testing. Quantification of region-specific ePVS burden was performed using a previously validated visual rating method and WMH volumes were computed using the standard ADNI pipeline. Separate linear regression models were run with ePVS as a predictor of MoCA scores and whole brain WMH volume. Results indicated a negative association between MoCA scores and both total ePVS counts (P ≤ 0.001) and centrum semiovale ePVS counts (P ≤ 0.001), after controlling for other relevant cSVD variables. Further, WMH volumes were positively associated with total ePVS (P = 0.010), basal ganglia ePVS (P ≤ 0.001), and centrum semiovale ePVS (P = 0.027). Our results suggest that ePVS burden, particularly in the centrum semiovale, may be a clinically significant neuroimaging marker of global cognitive dysfunction related to cSVD.
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Affiliation(s)
- Timothy J. Libecap
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Valentinos Zachariou
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Christopher E. Bauer
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Donna M. Wilcock
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY, United States
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Gregory A. Jicha
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States
- Department of Neurology, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Flavius D. Raslau
- Department of Radiology, College of Medicine, University of Kentucky, Lexington, KY, United States
| | - Brian T. Gold
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY, United States
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, United States
- Magnetic Resonance Imaging and Spectroscopy Center, College of Medicine, University of Kentucky, Lexington, KY, United States
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What is 'Alzheimer's disease'? The neuropathological heterogeneity of clinically defined Alzheimer's dementia. Curr Opin Neurol 2021; 34:237-245. [PMID: 33591030 DOI: 10.1097/wco.0000000000000912] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
PURPOSE OF REVIEW Beta-amyloid with paired helical filaments (PHF)-tau neurofibrillary tangles define hallmark Alzheimer's disease neuropathologic changes (AD-NC). Yet persons with Alzheimer's dementia, defined broadly as an amnestic multidomain progressive dementia, often exhibit postmortem evidence of other neuropathologies including other neurodegenerative (Lewy body disease and transactive response DNA-binding protein disease) and vascular-related brain lesions. Clinicopathologic and epidemiologic analyses demonstrate the significance of these substrates, as coinciding neuropathologies mitigate the threshold for diagnosis of Alzheimer's dementia. In addition, other biologic processes may also independently underlie a progressive amnestic dementia. Advances in research on the relationship between age-related cognitive decline and the underlying neuropathologic substrates indicate that consensus neuropathologic criteria or disease nomenclature may need new considerations or refinement. This review appraises seminal literature as well as mixed pathologies and biological factors that may be determinants of clinical and pathologic disease. RECENT FINDINGS Cognition in aging (spanning from normal cognition to dementia) represents a clinical continuum. Traditional neuropathologic substrates of dementia however do not explain the variability of cognitive decline. Conversely, not all patients with AD-NC exhibit symptomatology of Alzheimer's dementia. In addition to diagnostic plaques and tangles, other neurodegenerative, cerebrovascular, and perivascular substrates manifest through discrete tissue lesions. Factors related to energetics, neurogenetics, neuroimmunology, resilience, proteinopathies, and waste clearance are increasingly suggested to be general drivers of disease. Recognition of novel neuroimmune pathways and brain-body connections further suggest there may be broader extracranial determinants of person-specific disease. SUMMARY Alzheimer's dementia is a pathologically heterogeneous and biologically multilayered disease. Recent studies and exercises in nomenclature reveal shortcomings in existing terminologies. Recognizing and overcoming these limitations is required for experts to effectively communicate about and ultimately prevent and treat Alzheimer's dementia.
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Ayton S, Portbury S, Kalinowski P, Agarwal P, Diouf I, Schneider JA, Morris MC, Bush AI. Regional brain iron associated with deterioration in Alzheimer's disease: A large cohort study and theoretical significance. Alzheimers Dement 2021; 17:1244-1256. [PMID: 33491917 DOI: 10.1002/alz.12282] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 11/16/2020] [Accepted: 11/19/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE This paper is a proposal for an update of the iron hypothesis of Alzheimer's disease (AD), based on large-scale emerging evidence. BACKGROUND Iron featured historically early in AD research efforts for its involvement in the amyloid and tau proteinopathies, APP processing, genetics, and one clinical trial, yet iron neurochemistry remains peripheral in mainstream AD research. Much of the effort investigating iron in AD has focused on the potential for iron to provoke the onset of disease, by promoting proteinopathy though increased protein expression, phosphorylation, and aggregation. NEW/UPDATED HYPOTHESIS We provide new evidence from a large post mortem cohort that brain iron levels within the normal range were associated with accelerated ante mortem disease progression in cases with underlying proteinopathic neuropathology. These results corroborate recent findings that argue for an additional downstream role for iron as an effector of neurodegeneration, acting independently of tau or amyloid pathologies. We hypothesize that the level of tissue iron is a trait that dictates the probability of neurodegeneration in AD by ferroptosis, a regulated cell death pathway that is initiated by signals such as glutathione depletion and lipid peroxidation. MAJOR CHALLENGES FOR THE HYPOTHESIS While clinical biomarkers of ferroptosis are still in discovery, the demonstration of additional ferroptotic correlates (genetic or biomarker derived) of disease progression is required to test this hypothesis. The genes implicated in familial AD are not known to influence ferroptosis, although recent reports on APP mutations and apolipoprotein E allele (APOE) have shown impact on cellular iron retention. Familial AD mutations will need to be tested for their impact on ferroptotic vulnerability. Ultimately, this hypothesis will be substantiated, or otherwise, by a clinical trial of an anti-ferroptotic/iron compound in AD patients. LINKAGE TO OTHER MAJOR THEORIES Iron has historically been linked to the amyloid and tau proteinopathies of AD. Tau, APP, and apoE have been implicated in physiological iron homeostasis in the brain. Iron is biochemically the origin of most chemical radicals generated in biochemistry and thus closely associated with the oxidative stress theory of AD. Iron accumulation is also a well-established consequence of aging and inflammation, which are major theories of disease pathogenesis.
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Affiliation(s)
- Scott Ayton
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, and The University of Melbourne, Parkville, Australia
| | - Stuart Portbury
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, and The University of Melbourne, Parkville, Australia
| | - Pawel Kalinowski
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, and The University of Melbourne, Parkville, Australia
| | - Puja Agarwal
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, Illinois, USA
| | - Ibrahima Diouf
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, and The University of Melbourne, Parkville, Australia.,CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
| | - Julie A Schneider
- Rush Alzheimer Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Martha Clare Morris
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, Illinois, USA
| | - Ashley I Bush
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, and The University of Melbourne, Parkville, Australia
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Yaghmaie N, Syeda WT, Wu C, Zhang Y, Zhang TD, Burrows EL, Brodtmann A, Moffat BA, Wright DK, Glarin R, Kolbe S, Johnston LA. QSMART: Quantitative susceptibility mapping artifact reduction technique. Neuroimage 2021; 231:117701. [PMID: 33484853 DOI: 10.1016/j.neuroimage.2020.117701] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/19/2020] [Accepted: 12/21/2020] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Quantitative susceptibility mapping (QSM) is a novel MR technique that allows mapping of tissue susceptibility values from MR phase images. QSM is an ill-conditioned inverse problem, and although several methods have been proposed in the field, in the presence of a wide range of susceptibility sources, streaking artifacts appear around high susceptibility regions and contaminate the whole QSM map. QSMART is a post-processing pipeline that uses two-stage parallel inversion to reduce the streaking artifacts and remove banding artifact at the cortical surface and around the vasculature. METHOD Tissue and vein susceptibility values were separately estimated by generating a mask of vasculature driven from the magnitude data using a Frangi filter. Spatially dependent filtering was used for the background field removal step and the two susceptibility estimates were combined in the final QSM map. QSMART was compared to RESHARP/iLSQR and V-SHARP/iLSQR inversion in a numerical phantom, 7T in vivo single and multiple-orientation scans, 9.4T ex vivo mouse data, and 4.7T in vivo rat brain with induced focal ischemia. RESULTS Spatially dependent filtering showed better suppression of phase artifacts near cortex compared to RESHARP and V-SHARP, while preserving voxels located within regions of interest without brain edge erosion. QSMART showed successful reduction of streaking artifacts as well as improved contrast between different brain tissues compared to the QSM maps obtained by RESHARP/iLSQR and V-SHARP/iLSQR. CONCLUSION QSMART can reduce QSM artifacts to enable more robust estimation of susceptibility values in vivo and ex vivo.
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Affiliation(s)
- Negin Yaghmaie
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Biomedical Engineering, The University of Melbourne, Australia
| | - Warda T Syeda
- Melbourne Neuropsychiatry Centre, The University of Melbourne, Australia; Department of Medicine and Radiology, The University of Melbourne, Australia
| | - Chengchuan Wu
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Biomedical Engineering, The University of Melbourne, Australia
| | - Yicheng Zhang
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Biomedical Engineering, The University of Melbourne, Australia
| | - Tracy D Zhang
- Florey Institute of Neuroscience and Mental Health, Australia
| | - Emma L Burrows
- Florey Institute of Neuroscience and Mental Health, Australia
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, Australia
| | - Bradford A Moffat
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Medicine and Radiology, The University of Melbourne, Australia
| | - David K Wright
- Department of Neuroscience, Central Clinical School, Monash University, Australia
| | - Rebecca Glarin
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Radiology, Royal Melbourne Hospital, Australia
| | - Scott Kolbe
- Department of Medicine and Radiology, The University of Melbourne, Australia; Department of Neuroscience, Central Clinical School, Monash University, Australia; Department of Radiology, Alfred Hospital, Australia
| | - Leigh A Johnston
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Biomedical Engineering, The University of Melbourne, Australia; Department of Medicine and Radiology, The University of Melbourne, Australia.
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Shams M, Martola J, Charidimou A, Granberg T, Ferreira D, Westman E, Wintermark M, Iv M, Larvie M, Kristoffersen Wiberg M, Kaijser M, Forsgard N, Zetterberg H, Wahlund LO, Shams S. Cerebrospinal Fluid Metals and the Association with Cerebral Small Vessel Disease. J Alzheimers Dis 2020; 78:1229-1236. [PMID: 33104030 DOI: 10.3233/jad-200656] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Brain metal homeostasis is essential for brain health, and deregulation can result in oxidative stress on the brain parenchyma. OBJECTIVE Our objective in this study was to focus on two hemorrhagic MRI manifestations of small vessel disease [cerebral microbleeds (CMBs) and cortical superficial siderosis (cSS)] and associations with cerebrospinal fluid (CSF) iron levels. In addition, we aimed to analyze CSF biomarkers for dementia and associations with CSF metal levels. METHODS This is a cross-sectional study of 196 patients who underwent memory clinic investigation, including brain MRI. CSF was collected and analyzed for metals, amyloid-β (Aβ) 42, total tau (T-tau), and phosphorylated tau (P-tau), and CSF/serum albumin ratios. Statistical analyses were performed using generalized linear models. RESULTS No significant difference was found between CSF metal levels across diagnostic groups. Higher iron and copper levels were associated with higher CSF levels of Aβ42, T-tau, P-tau, and CSF/serum albumin ratios (p < 0.05). Zinc was associated with higher CSF/serum albumin ratios. There was no significant association between CMBs or cSS and CSF iron levels. An increase in CSF iron with the number of CMBs was seen in APOEɛ4 carriers. CONCLUSION CSF iron levels are elevated with cerebral microbleeds in APOEɛ4 carriers, with no other association seen with hemorrhagic markers of small vessel disease. The association of elevated CSF iron and copper with tau could represent findings of increased neurodegeneration in these patients.
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Affiliation(s)
- Mana Shams
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Juha Martola
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Andreas Charidimou
- Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston, MA, USA
| | - Tobias Granberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Daniel Ferreira
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden. Division of Clinical Geriatrics, Karolinska University Hospital, Stockholm, Sweden
| | - Eric Westman
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden. Division of Clinical Geriatrics, Karolinska University Hospital, Stockholm, Sweden
| | - Max Wintermark
- Department of Neuroradiology, Stanford Health Care, Stanford University, Stanford, CA, USA
| | - Michael Iv
- Department of Neuroradiology, Stanford Health Care, Stanford University, Stanford, CA, USA
| | - Mykol Larvie
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Maria Kristoffersen Wiberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Magnus Kaijser
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Niklas Forsgard
- Clinical Chemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Henrik Zetterberg
- Clinical Chemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neurodgeneration, UCL Institute of Neurology, Queen Square, London, UK
| | - Lars-Olof Wahlund
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden. Division of Clinical Geriatrics, Karolinska University Hospital, Stockholm, Sweden
| | - Sara Shams
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Department of Radiology, Karolinska University Hospital, Stockholm, Sweden.,Department of Neuroradiology, Stanford Health Care, Stanford University, Stanford, CA, USA
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