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Soldan A, Wang J, Pettigrew C, Davatzikos C, Erus G, Hohman TJ, Dumitrescu L, Bilgel M, Resnick SM, Rivera-Rivera LA, Langhough R, Johnson SC, Benzinger T, Morris JC, Laws SM, Fripp J, Masters CL, Albert MS. Alzheimer's disease genetic risk and changes in brain atrophy and white matter hyperintensities in cognitively unimpaired adults. Brain Commun 2024; 6:fcae276. [PMID: 39229494 PMCID: PMC11369827 DOI: 10.1093/braincomms/fcae276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 06/25/2024] [Accepted: 08/12/2024] [Indexed: 09/05/2024] Open
Abstract
Reduced brain volumes and more prominent white matter hyperintensities on MRI scans are commonly observed among older adults without cognitive impairment. However, it remains unclear whether rates of change in these measures among cognitively normal adults differ as a function of genetic risk for late-onset Alzheimer's disease, including APOE-ɛ4, APOE-ɛ2 and Alzheimer's disease polygenic risk scores (AD-PRS), and whether these relationships are influenced by other variables. This longitudinal study examined the trajectories of regional brain volumes and white matter hyperintensities in relationship to APOE genotypes (N = 1541) and AD-PRS (N = 1093) in a harmonized dataset of middle-aged and older individuals with normal cognition at baseline (mean baseline age = 66 years, SD = 9.6) and an average of 5.3 years of MRI follow-up (max = 24 years). Atrophy on volumetric MRI scans was quantified in three ways: (i) a composite score of regions vulnerable to Alzheimer's disease (SPARE-AD); (ii) hippocampal volume; and (iii) a composite score of regions indexing advanced non-Alzheimer's disease-related brain aging (SPARE-BA). Global white matter hyperintensity volumes were derived from fluid attenuated inversion recovery (FLAIR) MRI. Using linear mixed effects models, there was an APOE-ɛ4 gene-dose effect on atrophy in the SPARE-AD composite and hippocampus, with greatest atrophy among ɛ4/ɛ4 carriers, followed by ɛ4 heterozygouts, and lowest among ɛ3 homozygouts and ɛ2/ɛ2 and ɛ2/ɛ3 carriers, who did not differ from one another. The negative associations of APOE-ɛ4 with atrophy were reduced among those with higher education (P < 0.04) and younger baseline ages (P < 0.03). Higher AD-PRS were also associated with greater atrophy in SPARE-AD (P = 0.035) and the hippocampus (P = 0.014), independent of APOE-ɛ4 status. APOE-ɛ2 status (ɛ2/ɛ2 and ɛ2/ɛ3 combined) was not related to baseline levels or atrophy in SPARE-AD, SPARE-BA or the hippocampus, but was related to greater increases in white matter hyperintensities (P = 0.014). Additionally, there was an APOE-ɛ4 × AD-PRS interaction in relation to white matter hyperintensities (P = 0.038), with greater increases in white matter hyperintensities among APOE-ɛ4 carriers with higher AD-PRS. APOE and AD-PRS associations with MRI measures did not differ by sex. These results suggest that APOE-ɛ4 and AD-PRS independently and additively influence longitudinal declines in brain volumes sensitive to Alzheimer's disease and synergistically increase white matter hyperintensity accumulation among cognitively normal individuals. Conversely, APOE-ɛ2 primarily influences white matter hyperintensity accumulation, not brain atrophy. Results are consistent with the view that genetic factors for Alzheimer's disease influence atrophy in a regionally specific manner, likely reflecting preclinical neurodegeneration, and that Alzheimer's disease risk genes contribute to white matter hyperintensity formation.
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Affiliation(s)
- Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jiangxia Wang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Christos Davatzikos
- Centre for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Guray Erus
- Centre for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Timothy J Hohman
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Logan Dumitrescu
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, Baltimore, MD 21224, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, Baltimore, MD 21224, USA
| | - Leonardo A Rivera-Rivera
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Rebecca Langhough
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Tammie Benzinger
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - John C Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Simon M Laws
- Centre for Precision Health, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Jurgen Fripp
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD 4029, Australia
| | - Colin L Masters
- The Florey Institute, University of Melbourne, Parkville, VIC 3052, Australia
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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2
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Golas AC, Salwierz P, Rajji TK, Bowie CR, Butters MA, Fischer CE, Flint AJ, Herrmann N, Mah L, Mulsant BH, Pollock BG, Taghdiri F, Wang W, Tartaglia MC. Assessing the Role of Past Depression in Patients with Mild Cognitive Impairment, with and without Biomarkers for Alzheimer's Disease. J Alzheimers Dis 2023; 92:1219-1227. [PMID: 36911939 DOI: 10.3233/jad-221097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Major depressive disorder (MDD) is a risk factor for Alzheimer's disease (AD). Cerebrovascular disease (CVD) is implicated in MDD and AD. Our study compared participants with AD positive and negative cerebrospinal fluid (CSF) biomarkers on neuropsychological performance, remitted MDD status, and CVD burden. Next, we compared AD-CSF biomarkers and white matter hyperintensities (WMH) burden among three groups: mild cognitive impairment (MCI) (n = 12), MCI with remitted MDD (MDD+MCI) (n = 12), and remitted MDD alone (MDD) (n = 7). Few participants (18%) with MCI+MDD exhibited AD(+) biomarkers. Nearly all participants had moderate-severe WMH. WMH may contribute to cognitive impairment or depression in MCI patients with AD(-) biomarkers.
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Affiliation(s)
- Angela C Golas
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Patrick Salwierz
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Tarek K Rajji
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada
| | - Christopher R Bowie
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Corinne E Fischer
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada
| | - Alastair J Flint
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,University Health Network, Toronto, ON, Canada
| | - Nathan Herrmann
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Linda Mah
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
| | - Benoit H Mulsant
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Bruce G Pollock
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Foad Taghdiri
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Wei Wang
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - M Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
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Cheng Z, Dai L, Wu Y, Cao Y, Chai X, Wang P, Liu C, Ni M, Gao F, Wang Q, Lv X. Correlation of blood-brain barrier leakage with cerebral small vessel disease including cerebral microbleeds in Alzheimer's disease. Front Neurol 2023; 14:1077860. [PMID: 36873442 PMCID: PMC9978776 DOI: 10.3389/fneur.2023.1077860] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 01/25/2023] [Indexed: 02/18/2023] Open
Abstract
Background Blood-brain barrier (BBB) damage is considered an important part of Alzheimer's disease (AD) progression, and cerebral small-vessel disease (CSVD) is commonly associated with AD. However, the relationship between BBB damage, small cerebrovascular lesions, especially cerebral microbleeds (CMBs), and amyloid and tau biomarkers remains controversial. Therefore, our study aimed to further investigate their association in our cohort of patients with AD. Methods A total of 139 individuals were divided into probable AD (18F-florbetapir PET positive, n = 101) and control group (cognitively normal, n = 38). The levels of cerebrospinal fluid (CSF) and plasma t-tau, p-tau181, Aβ40, Aβ42, and albumin were measured using corresponding commercial assay kits, and the CSF/plasma albumin ratio (Qalb), an indicator of BBB dysfunction, was calculated. CSVD burden and the number of CMBs were defined using magnetic resonance imaging. Results Patients with AD had higher Qalb (p = 0.0024), higher numbers of CMBs (p = 0.03), and greater CSVD burden (p < 0.0001). In the AD group, CMBs and CSVD correlated with a higher Qalb (p = 0.03), and the numbers of CMBs negatively correlated with CSF Aβ42 (p = 0.02). Conclusion Blood-brain barrier damage was accompanied by a more severe burden of CSVD, including CMB, in patients with AD.
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Affiliation(s)
- Zhaozhao Cheng
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Linbin Dai
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Yan Wu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Yuqin Cao
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Xianliang Chai
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Peng Wang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Chang Liu
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Ming Ni
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Feng Gao
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Qiong Wang
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Xinyi Lv
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
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Newton P, Tchounguen J, Pettigrew C, Lim C, Lin Z, Lu H, Moghekar A, Albert M, Soldan A. Regional White Matter Hyperintensities and Alzheimer's Disease Biomarkers Among Older Adults with Normal Cognition and Mild Cognitive Impairment. J Alzheimers Dis 2023; 92:323-339. [PMID: 36744337 PMCID: PMC10041440 DOI: 10.3233/jad-220846] [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] [Accepted: 12/29/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) frequently co-occurs with other brain pathologies. Recent studies suggest there may be a mechanistic link between AD and small vessel cerebrovascular disease (CVD), as opposed to simply the overlap of two disorders. OBJECTIVE We investigated the cross-sectional relationship between white matter hyperintensity (WMH) volumes (markers of CVD) and cerebrospinal fluid (CSF) biomarkers of AD. METHODS WMH volumes were assessed globally and regionally (i.e., frontal, parietal, temporal, occipital, and limbic). CSF AD biomarkers (i.e., Aβ 40, Aβ 42, Aβ 42/Aβ 40 ratio, phosphorylated tau-181 [p-tau181], and total tau [t-tau]) were measured among 152 non-demented individuals (134 cognitively unimpaired and 18 with mild cognitive impairment (MCI)). RESULTS Linear regression models showed that among all subjects, higher temporal WHM volumes were associated with AD biomarkers (higher levels of p-tau181, t-tau, and Aβ 40), particularly among APOE ɛ 4 carriers (independent of Aβ 42 levels). Higher vascular risk scores were associated with greater parietal and frontal WMH volumes (independent of CSF AD biomarker levels). Among subjects with MCI only, parietal WMH volumes were associated with a lower level of Aβ 42/Aβ 40. In addition, there was an association between higher global WMH volumes and higher CSF t-tau levels among younger participants versus older ones (∼<65 versus 65+ years), independent of Aβ 42/Aβ 40 and p-tau181. CONCLUSION These findings suggest that although WMH are primarily related to systemic vascular risk and neurodegeneration (i.e., t-tau), AD-specific pathways may contribute to the formation of WMH in a regionally-specific manner, with neurofibrillary tangles (i.e., p-tau) playing a role in temporal WMHs and amyloid (i.e., Aβ 42/Aβ 40) in parietal WMHs.
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Affiliation(s)
- Princess Newton
- Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA
| | | | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chantelle Lim
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Zixuan Lin
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - the BIOCARD Research Team
- Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
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5
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Liu X, Sun P, Yang J, Fan Y. Biomarkers involved in the pathogenesis of cerebral small-vessel disease. Front Neurol 2022; 13:969185. [PMID: 36119691 PMCID: PMC9475115 DOI: 10.3389/fneur.2022.969185] [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: 06/14/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
Cerebral small-vessel disease (CSVD) has been found to have a strong association with vascular cognitive impairment (VCI) and functional loss in elderly patients. At present, the diagnosis of CSVD mainly relies on brain neuroimaging markers, but they cannot fully reflect the overall picture of the disease. Currently, some biomarkers were found to be related to CSVD, but the underlying mechanisms remain unclear. We aimed to systematically review and summarize studies on the progress of biomarkers related to the pathogenesis of CSVD, which is mainly the relationship between these indicators and neuroimaging markers of CSVD. Concerning the pathophysiological mechanism of CSVD, the biomarkers of CSVD have been described as several categories related to sporadic and genetic factors. Monitoring of biomarkers might contribute to the early diagnosis and progression prediction of CSVD, thus providing ideas for better diagnosis and treatment of CSVD.
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6
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Lee KH, Kang KM. Association between Cerebral Small Vessel and Alzheimer’s Disease. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2022; 83:486-507. [PMID: 36238505 PMCID: PMC9514514 DOI: 10.3348/jksr.2022.0041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/15/2022] [Accepted: 05/16/2022] [Indexed: 11/15/2022]
Abstract
뇌소혈관질환은 뇌 자기공명영상에서 흔히 관찰되는 혈관성 변화로 뇌백질 고신호강도, 뇌미세출혈, 열공성 경색, 혈관주위공간 등을 포함한다. 이러한 혈관성 변화가 알츠하이머병(Alzheimer’s disease; 이하 AD)의 발병 및 진행과 관련되어 있고, 대표 병리인 베타 아밀로이드 및 타우 단백의 침착과도 연관되어 있다는 증거들이 축적되고 있다. 혈관성 변화는 생활 습관 개선이나 약물 치료를 통해 예방과 개선이 가능하기 때문에 뇌소혈관질환과 AD 및 AD 생체지표의 관련성을 연구하는 것이 중요하다. 본 종설에서는 AD와 AD 생체지표에 대해 간략히 소개하고, AD와 혈관성 변화의 관련성에 대해 축적된 증거들을 제시한 다음, 뇌소혈관질환의 병태 생리와 MR 영상 소견을 설명하고자 한다. 또 뇌소혈관질환과 AD 진단의 위험도 및 AD 생체지표와의 관련성에 대한 기존 연구 결과들을 정리하고자 한다.
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Affiliation(s)
- Kyung Hoon Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
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7
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Wang HL, Zhang CL, Qiu YM, Chen AQ, Li YN, Hu B. Dysfunction of the Blood-brain Barrier in Cerebral Microbleeds: from Bedside to Bench. Aging Dis 2021; 12:1898-1919. [PMID: 34881076 PMCID: PMC8612614 DOI: 10.14336/ad.2021.0514] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 05/14/2021] [Indexed: 02/06/2023] Open
Abstract
Cerebral microbleeds (CMBs) are a disorder of cerebral microvessels that are characterized as small (<10 mm), hypointense, round or ovoid lesions seen on T2*-weighted gradient echo MRI. There is a high prevalence of CMBs in community-dwelling healthy older people. An increasing number of studies have demonstrated the significance of CMBs in stroke, dementia, Parkinson's disease, gait disturbances and late-life depression. Blood-brain barrier (BBB) dysfunction is considered to be the event that initializes CMBs development. However, the pathogenesis of CMBs has not yet been clearly elucidated. In this review, we introduce the pathogenesis of CMBs, hypertensive vasculopathy and cerebral amyloid angiopathy, and review recent research that has advanced our understanding of the mechanisms underlying BBB dysfunction and CMBs presence. CMBs-associated risk factors can exacerbate BBB breakdown through the vulnerability of BBB anatomical and functional changes. Finally, we discuss potential pharmacological approaches to target the BBB as therapy for CMBs.
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Affiliation(s)
| | | | | | - An-qi Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Ya-nan Li
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
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8
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A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System. ELECTRONICS 2021. [DOI: 10.3390/electronics10182208] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Machine learning-based systems are gaining interest in the field of medicine, mostly in medical imaging and diagnosis. In this paper, we address the problem of automatic cerebral microbleeds (CMB) detection in magnetic resonance images. It is challenging due to difficulty in distinguishing a true CMB from its mimics, however, if successfully solved, it would streamline the radiologists work. To deal with this complex three-dimensional problem, we propose a machine learning approach based on a 2D Faster RCNN network. We aimed to achieve a reliable system, i.e., with balanced sensitivity and precision. Therefore, we have researched and analysed, among others, impact of the way the training data are provided to the system, their pre-processing, the choice of model and its structure, and also the ways of regularisation. Furthermore, we also carefully analysed the network predictions and proposed an algorithm for its post-processing. The proposed approach enabled for obtaining high precision (89.74%), sensitivity (92.62%), and F1 score (90.84%). The paper presents the main challenges connected with automatic cerebral microbleeds detection, its deep analysis and developed system. The conducted research may significantly contribute to automatic medical diagnosis.
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9
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Ikeda M, Okamoto K, Suzuki K, Takai E, Kasahara H, Furuta N, Furuta M, Tashiro Y, Shimizu C, Takatama S, Naito I, Sato M, Sakai Y, Takahashi M, Amari M, Takatama M, Higuchi T, Tsushima Y, Yokoo H, Kurabayashi M, Ishibashi S, Ishii K, Ikeda Y. Recurrent Lobar Hemorrhages and Multiple Cortical Superficial Siderosis in a Patient of Alzheimer's Disease With Homozygous APOE ε2 Allele Presenting Hypobetalipoproteinemia and Pathological Findings of 18F-THK5351 Positron Emission Tomography: A Case Report. Front Neurol 2021; 12:645625. [PMID: 34305778 PMCID: PMC8294698 DOI: 10.3389/fneur.2021.645625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 05/05/2021] [Indexed: 11/13/2022] Open
Abstract
In Alzheimer's disease, the apolipoprotein E gene (APOE) ε2 allele is a protective genetic factor, whereas the APOE ε4 allele is a genetic risk factor. However, both the APOE ε2 and the APOE ε4 alleles are genetic risk factors for lobar intracerebral hemorrhage. The reasons for the high prevalence of lobar intracerebral hemorrhage and the low prevalence of Alzheimer's disease with the APOE ε2 allele remains unknown. Here, we describe the case of a 79-year-old Japanese female with Alzheimer's disease, homozygous for the APOE ε2 allele. This patient presented with recurrent lobar hemorrhages and multiple cortical superficial siderosis. The findings on the 11C-labeled Pittsburgh Compound B-positron emission tomography (PET) were characteristic of Alzheimer's disease. 18F-THK5351 PET revealed that the accumulation of 18F-THK 5351 in the right pyramidal tract at the pontine level, the cerebral peduncle of the midbrain, and the internal capsule, reflecting the lesions of the previous lobar intracerebral hemorrhage in the right frontal lobe. Moreover, 18F-THK5351 accumulated in the bilateral globus pallidum, amygdala, caudate nuclei, and the substantia nigra of the midbrain, which were probably off-target reaction, by binding to monoamine oxidase B (MAO-B). 18F-THK5351 were also detected in the periphery of prior lobar hemorrhages and a cortical subarachnoid hemorrhage, as well as in some, but not all, areas affected by cortical siderosis. Besides, 18F-THK5351 retentions were observed in the bilateral medial temporal cortices and several cortical areas without cerebral amyloid angiopathy or prior hemorrhages, possibly where tau might accumulate. This is the first report of a patient with Alzheimer's disease, carrying homozygous APOE ε2 allele and presenting with recurrent lobar hemorrhages, multiple cortical superficial siderosis, and immunohistochemically vascular amyloid β. The 18F-THK5351 PET findings suggested MAO-B concentrated regions, astroglial activation, Waller degeneration of the pyramidal tract, neuroinflammation due to CAA related hemorrhages, and possible tau accumulation.
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Affiliation(s)
- Masaki Ikeda
- Division of General Education (Neurology), Faculty of Health & Medical Care, Saitama Medical University, Saitama, Japan.,Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan.,Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Koichi Okamoto
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Keiji Suzuki
- Department of Pathology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Eriko Takai
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hiroo Kasahara
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Natsumi Furuta
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Minori Furuta
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yuichi Tashiro
- Department of Neurology, Mito Medical Center, Mito, Japan
| | - Chisato Shimizu
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Shin Takatama
- Department of Neurosurgery, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Isao Naito
- Department of Neurosurgery, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Mie Sato
- Department of Anesthesiology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Yasujiro Sakai
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Manabu Takahashi
- Department of Cardiovascular Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Masakuni Amari
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Masamitsu Takatama
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Tetsuya Higuchi
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yoshito Tsushima
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hideaki Yokoo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jichi Medical University, Tochigi, Japan
| | - Masahiko Kurabayashi
- Department of Pathology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Shun Ishibashi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jichi Medical University, Tochigi, Japan
| | - Kenji Ishii
- Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Yoshio Ikeda
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
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10
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Ikeda M, Kodaira S, Kasahara H, Takai E, Nagashima K, Fujita Y, Makioka K, Hirayanagi K, Furuta N, Furuta M, Sanada E, Kobayashi A, Harigaya Y, Nagamine S, Hattori N, Tashiro Y, Kishi K, Shimada H, Suto T, Tanaka H, Sakai Y, Yamazaki T, Tanaka Y, Aihara Y, Amari M, Yamaguchi H, Okamoto K, Takatama M, Ishii K, Higuchi T, Tsushima Y, Ikeda Y. Cerebral Microbleeds, Cerebrospinal Fluid, and Neuroimaging Markers in Clinical Subtypes of Alzheimer's Disease. Front Neurol 2021; 12:543866. [PMID: 33889121 PMCID: PMC8056016 DOI: 10.3389/fneur.2021.543866] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 02/26/2021] [Indexed: 12/12/2022] Open
Abstract
Lobar cerebral microbleeds (CMBs) in Alzheimer's disease (AD) are associated with cerebral amyloid angiopathy (CAA) due to vascular amyloid beta (Aβ) deposits. However, the relationship between lobar CMBs and clinical subtypes of AD remains unknown. Here, we enrolled patients with early- and late-onset amnestic dominant AD, logopenic variant of primary progressive aphasia (lvPPA) and posterior cortical atrophy (PCA) who were compatible with the AD criteria. We then examined the levels of cerebrospinal fluid (CSF) biomarkers [Aβ1-42, Aβ1-40, Aβ1-38, phosphorylated tau 181 (P-Tau), total tau (T-Tau), neurofilament light chain (NFL), and chitinase 3-like 1 protein (YKL-40)], analyzed the number and localization of CMBs, and measured the cerebral blood flow (CBF) volume by 99mTc-ethyl cysteinate dimer single photon emission computerized tomography (99mTc ECD-SPECT), as well as the mean cortical standard uptake value ratio by 11C-labeled Pittsburgh Compound B-positron emission tomography (11C PiB-PET). Lobar CMBs in lvPPA were distributed in the temporal, frontal, and parietal lobes with the left side predominance, while the CBF volume in lvPPA significantly decreased in the left temporal area, where the number of lobar CMBs and the CBF volumes showed a significant inversely correlation. The CSF levels of NFL in lvPPA were significantly higher compared to the other AD subtypes and non-demented subjects. The numbers of lobar CMBs significantly increased the CSF levels of NFL in the total AD patients, additionally, among AD subtypes, the CSF levels of NFL in lvPPA predominantly were higher by increasing number of lobar CMBs. On the other hand, the CSF levels of Aβ1-38, Aβ1-40, Aβ1-42, P-Tau, and T-Tau were lower by increasing number of lobar CMBs in the total AD patients. These findings may suggest that aberrant brain hypoperfusion in lvPPA was derived from the brain atrophy due to neurodegeneration, and possibly may involve the aberrant microcirculation causing by lobar CMBs and cerebrovascular injuries, with the left side dominance, consequently leading to a clinical phenotype of logopenic variant.
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Affiliation(s)
- Masaki Ikeda
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan.,Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan.,Division of Common Education (Neurology), Faculty of Health and Medical Care, Saitama Medical University, Hidaka, Japan
| | - Sayaka Kodaira
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hiroo Kasahara
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Eriko Takai
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Kazuaki Nagashima
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yukio Fujita
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Kouki Makioka
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Kimitoshi Hirayanagi
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Natsumi Furuta
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Minori Furuta
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Etsuko Sanada
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Ayumi Kobayashi
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yasuo Harigaya
- Department of Neurology, Maebashi Red Cross Hospital, Maebashi, Japan
| | - Shun Nagamine
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Noriaki Hattori
- Department of Neuropsychiatry, Jomo Hospital, Maebashi, Japan
| | - Yuichi Tashiro
- Department of Neurology, Mito Medical Center, Mito, Japan
| | - Kazuhiro Kishi
- Department of Radiology, Gunma University Hospital, Maebashi, Japan
| | - Hirotaka Shimada
- Department of Radiology, Gunma University Hospital, Maebashi, Japan
| | - Takayuki Suto
- Department of Radiology, Gunma University Hospital, Maebashi, Japan
| | - Hisashi Tanaka
- Department of Neuropsychiatry, Tanaka Hospital, Yoshioka, Japan
| | - Yasujiro Sakai
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Tsuneo Yamazaki
- Department of Occupational Therapy, Gunma University Graduate School of Health Sciences, Maebashi, Japan
| | - Yukiko Tanaka
- Department of Geriatric Medicine, Uchida Hospital, Numata, Japan
| | - Yuko Aihara
- Department of Neurology, Shinozuka Hospital, Fujioka, Japan
| | - Masakuni Amari
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Haruyasu Yamaguchi
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan.,Tokyo Center for Dementia Research and Practices, Tokyo, Japan
| | - Koichi Okamoto
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Masamitsu Takatama
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Kenji Ishii
- Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Tetsuya Higuchi
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yoshito Tsushima
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yoshio Ikeda
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
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11
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Cedres N, Ekman U, Poulakis K, Shams S, Cavallin L, Muehlboeck S, Granberg T, Wahlund LO, Ferreira D, Westman E. Brain Atrophy Subtypes and the ATN Classification Scheme in Alzheimer's Disease. NEURODEGENER DIS 2021; 20:153-164. [PMID: 33789287 DOI: 10.1159/000515322] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 02/09/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION We investigated the association between atrophy subtypes of Alzheimer's disease (AD), the ATN classification scheme, and key demographic and clinical factors in 2 cohorts with different source characteristics (a highly selective research-oriented cohort, the Alzheimer's Disease Neuroimaging Initiative [ADNI]; and a naturalistic heterogeneous clinically oriented cohort, Karolinska Imaging Dementia Study [KIDS]). METHODS A total of 382 AD patients were included. Factorial analysis of mixed data was used to investigate associations between AD subtypes based on brain atrophy patterns, ATN profiles based on cerebrospinal fluid biomarkers, and age, sex, Mini Mental State Examination (MMSE), cerebrovascular disease (burden of white matter signal abnormalities, WMSAs), and APOE genotype. RESULTS Older patients with high WMSA burden, belonging to the typical AD subtype and showing A+T+N+ or A+T+N- profiles clustered together and were mainly from ADNI. Younger patients with low WMSA burden, limbic-predominant or minimal atrophy AD subtypes, and A+T-N- or A+T-N+ profiles clustered together and were mainly from KIDS. APOE ε4 carriers more frequently showed the A+T-N- and A+T+N- profiles. CONCLUSIONS Our findings align with the recent framework for biological subtypes of AD: the combination of risk factors, protective factors, and brain pathologies determines belonging of AD patients to distinct subtypes.
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Affiliation(s)
- Nira Cedres
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden
| | - Urban Ekman
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden
| | - Konstantinos Poulakis
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden
| | - Sara Shams
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Lena Cavallin
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Sebastian Muehlboeck
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden
| | - Tobias Granberg
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Department of Neurobiology, Karolinska Institutet, Center for Alzheimer Research, Care Sciences, and Society, Stockholm, Sweden.,Department of Neuroimaging, Institute of Psychiatry, Centre for Neuroimaging Sciences, Psychology and Neuroscience, King's College London, London, United Kingdom
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12
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Fan F, Yang C, Zhu X, Liu Z, Liu H, Li J, Jiang R, Zhang Y, Bu X, Wang Y, Wang Q, Xiang Y. Association between infectious burden and cerebral microbleeds: a pilot cross-sectional study. Ann Clin Transl Neurol 2021; 8:395-405. [PMID: 33410595 PMCID: PMC7886034 DOI: 10.1002/acn3.51285] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 11/07/2020] [Accepted: 12/03/2020] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE Cerebral microbleeds (CMBs) is a subtype of cerebral small vessel disease. Their underlying pathogenesis remains unclear. The aim of this study was to investigate the association between infectious burden (IB) and CMBs. METHODS Seven hundred and seventy-three consecutive patients who were hospitalized in the Department of Neurology in General Hospital of Western Theater Command without severe neurological symptoms were recruited and selected in this pilot cross-sectional study. CMBs were assessed using the susceptibility-weighted imaging sequence of magnetic resonance imaging. Immunoglobulin G antibodies against common pathogens, including herpes simplex virus (HSV)-1, HSV-2, cytomegalovirus (CMV), Chlamydia pneumoniae (C. pneumoniae), Mycoplasma pneumoniae (M. pneumoniae), Epstein-Barr virus (EBV), Helicobacter pylori (HP), and Borrelia burgdorferi (B. burgdorferi), were measured by commercial ELISA assays. IB was defined as a composite serologic measure of exposure to these common pathogens. RESULTS Patients with and without CMBs were defined as the CMBs group (n = 76) and the non-CMBs group (n = 81), respectively. IB was significantly different between the CMBs and non-CMBs groups. After adjusted for other risk factors, the increased IB was independently associated with the presence of CMBs (P = 0.031, OR = 3.00, 95% CI [1.11-8.15]). IB was significantly positively associated with the number of CMBs (Spearman ρ = 0.653, P < 0.001). The levels of serum inflammatory markers were significantly different between the CMBs and non-CMBs groups and among the categories of IB. INTERPRETATION IB consisting of HSV-1, HSV-2, CMV, C. pneumoniae, M. pneumoniae, EBV, HP, and B. burgdorferi was associated with CMBs. All the findings suggested that pathogen infection could be involved in the pathogenesis of CMBs.
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Affiliation(s)
- Fan Fan
- Department of Neurology, Huanggang Central Hospital, Huanggang, Hubei, China.,Department of Neurology, General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Cui Yang
- Department of Neurology, General Hospital of Western Theater Command, Chengdu, Sichuan, China.,Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Institute of Neurology, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, Sichuan, China
| | - Xiaoyan Zhu
- Basic Medical Laboratory, General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Zhilan Liu
- Department of Neurology, General Hospital of Western Theater Command, Chengdu, Sichuan, China.,Department of Clinical Medicine, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Hui Liu
- Department of Neurology, General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Jianhao Li
- Department of Radiology, General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Rui Jiang
- Department of Radiology, General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Yaolei Zhang
- Basic Medical Laboratory, General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Xianle Bu
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Yanjiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Qingsong Wang
- Department of Neurology, General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Yang Xiang
- Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
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13
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Litak J, Mazurek M, Kulesza B, Szmygin P, Litak J, Kamieniak P, Grochowski C. Cerebral Small Vessel Disease. Int J Mol Sci 2020; 21:ijms21249729. [PMID: 33419271 PMCID: PMC7766314 DOI: 10.3390/ijms21249729] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/15/2020] [Accepted: 12/17/2020] [Indexed: 01/18/2023] Open
Abstract
Cerebral small vessel disease (CSVD) represents a cluster of various vascular disorders with different pathological backgrounds. The advanced vasculature net of cerebral vessels, including small arteries, capillaries, arterioles and venules, is usually affected. Processes of oxidation underlie the pathology of CSVD, promoting the degenerative status of the epithelial layer. There are several classifications of cerebral small vessel diseases; some of them include diseases such as Binswanger’s disease, leukoaraiosis, cerebral microbleeds (CMBs) and lacunar strokes. This paper presents the characteristics of CSVD and the impact of the current knowledge of this topic on the diagnosis and treatment of patients.
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Affiliation(s)
- Jakub Litak
- Department of Neurosurgery and Pediatric Neurosurgery, Medical University of Lublin, 20-954 Lublin, Poland; (M.M.); (B.K.); (P.S.); (P.K.)
- Department of Immunology, Medical University of Lublin, 20-093 Lublin, Poland
- Correspondence:
| | - Marek Mazurek
- Department of Neurosurgery and Pediatric Neurosurgery, Medical University of Lublin, 20-954 Lublin, Poland; (M.M.); (B.K.); (P.S.); (P.K.)
| | - Bartłomiej Kulesza
- Department of Neurosurgery and Pediatric Neurosurgery, Medical University of Lublin, 20-954 Lublin, Poland; (M.M.); (B.K.); (P.S.); (P.K.)
| | - Paweł Szmygin
- Department of Neurosurgery and Pediatric Neurosurgery, Medical University of Lublin, 20-954 Lublin, Poland; (M.M.); (B.K.); (P.S.); (P.K.)
| | - Joanna Litak
- St. John’s Cancer Center in Lublin, 20-090 Lublin, Poland;
| | - Piotr Kamieniak
- Department of Neurosurgery and Pediatric Neurosurgery, Medical University of Lublin, 20-954 Lublin, Poland; (M.M.); (B.K.); (P.S.); (P.K.)
| | - Cezary Grochowski
- Department of Anatomy, Medical University of Lublin, 20-090 Lublin, Poland;
- Laboratory of Virtual Man, Department of Anatomy, Medical University of Lublin, 20-090 Lublin, Poland
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14
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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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15
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Hansen D, Ling H, Lashley T, Foley JA, Strand C, Eid TM, Holton JL, Warner TT. Novel clinicopathological characteristics differentiate dementia with Lewy bodies from Parkinson's disease dementia. Neuropathol Appl Neurobiol 2020; 47:143-156. [PMID: 32720329 DOI: 10.1111/nan.12648] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 06/26/2020] [Accepted: 07/13/2020] [Indexed: 01/09/2023]
Abstract
Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) known as Lewy body dementias have overlapping clinical and neuropathological features. Neuropathology in both includes combination of Lewy body and Alzheimer's disease (AD) pathology. Cerebral amyloid angiopathy (CAA), often seen in AD, is increasingly recognized for its association with dementia. AIMS This study investigated clinical and neuropathological differences between DLB and PDD. METHODS 52 PDD and 16 DLB cases from the Queen Square Brain Bank (QSBB) for Neurological disorders were included. Comprehensive clinical data of motor and cognitive features were obtained from medical records. Neuropathological assessment included examination of CAA, Lewy body and AD pathology. RESULTS CAA was more common in DLB than in PDD (P = 0.003). The severity of CAA was greater in DLB than in PDD (P = 0.009), with significantly higher CAA scores in the parietal lobe (P = 0.043), and the occipital lobe (P = 0.008), in DLB than in PDD. The highest CAA scores were observed in cases with APOE ε4/4 and ε2/4. Survival analysis showed worse prognosis in DLB, as DLB reached each clinical milestone sooner than PDD. Absence of dyskinesia in DLB is linked to the significantly lower lifetime cumulative dose of levodopa in comparison with PDD. CONCLUSIONS This is the first study which identified prominent concurrent CAA pathology as a pathological substrate of DLB. More prominent CAA and rapid disease progression as measured by clinical milestones distinguish DLB from PDD.
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Affiliation(s)
- D Hansen
- Reta Lila Weston Institute, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - H Ling
- Reta Lila Weston Institute, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.,Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - T Lashley
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.,Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - J A Foley
- National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - C Strand
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - T M Eid
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.,Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - J L Holton
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - T T Warner
- Reta Lila Weston Institute, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.,Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.,National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
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16
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Walsh P, Sudre CH, Fiford CM, Ryan NS, Lashley T, Frost C, Barnes J. CSF amyloid is a consistent predictor of white matter hyperintensities across the disease course from aging to Alzheimer's disease. Neurobiol Aging 2020; 91:5-14. [PMID: 32305782 DOI: 10.1016/j.neurobiolaging.2020.03.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 03/05/2020] [Accepted: 03/10/2020] [Indexed: 01/06/2023]
Abstract
This study investigated the relationship between white matter hyperintensities (WMH) and cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers. Subjects included 180 controls, 107 individuals with a significant memory concern, 320 individuals with early mild cognitive impairment, 171 individuals with late mild cognitive impairment, and 151 individuals with AD, with 3T MRI and CSF Aβ1-42, total tau (t-tau), and phosphorylated tau (p-tau) data. Multiple linear regression models assessed the relationship between WMH and CSF Aβ1-42, t-tau, and p-tau. Directionally, a higher WMH burden was associated with lower CSF Aβ1-42 within each diagnostic group, with no evidence for a difference in the slope of the association across diagnostic groups (p = 0.4). Pooling all participants, this association was statistically significant after adjustment for t-tau, p-tau, age, diagnostic group, and APOE-ε4 status (p < 0.001). Age was the strongest predictor of WMH (partial R2~16%) compared with CSF Aβ1-42 (partial R2~5%). There was no evidence for an association with WMH and either t-tau or p-tau. These data are supportive of a link between amyloid burden and presumed vascular pathology.
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Affiliation(s)
- Phoebe Walsh
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
| | - Carole H Sudre
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Centre for Medical Image Computing, University College London, London, UK
| | - Cassidy M Fiford
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Natalie S Ryan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Tammaryn Lashley
- Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK; Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Chris Frost
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; Department of Medical Statistics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Josephine Barnes
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
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17
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Cedres N, Ferreira D, Machado A, Shams S, Sacuiu S, Waern M, Wahlund LO, Zettergren A, Kern S, Skoog I, Westman E. Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities. Aging (Albany NY) 2020; 12:894-901. [PMID: 31927535 PMCID: PMC6977667 DOI: 10.18632/aging.102662] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 12/24/2019] [Indexed: 01/06/2023]
Abstract
Different measurements of white matter signal abnormalities (WMSA) are often used across studies, which hinders combination of WMSA data from different cohorts. We investigated associations between three commonly used measurements of WMSA, aiming to further understand the association between them and their potential interchangeability: the Fazekas scale, the lesion segmentation tool (LST), and FreeSurfer. We also aimed at proposing cut-off values for estimating low and high Fazekas scale WMSA burden from LST and FreeSurfer WMSA, to facilitate clinical use and interpretation of LST and FreeSurfer WMSA data. A population-based cohort of 709 individuals (all of them 70 years old, 52% female) was investigated. We found a strong association between LST and FreeSurfer WMSA, and an association of Fazekas scores with both LST and FreeSurfer WMSA. The proposed cut-off values were 0.00496 for LST and 0.00321 for FreeSurfer (Total Intracranial volumes (TIV)-corrected values). This study provides data on the association between Fazekas scores, hyperintense WMSA, and hypointense WMSA in a large population-based cohort. The proposed cut-off values for translating LST and FreeSurfer WMSA estimations to low and high Fazekas scale WMSA burden may facilitate the combination of WMSA measurements from different cohorts that used either a FLAIR or a T1-weigthed sequence.
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Affiliation(s)
- Nira Cedres
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet (KI), Stockholm, Sweden
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet (KI), Stockholm, Sweden
| | - Alejandra Machado
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet (KI), Stockholm, Sweden
| | - Sara Shams
- Department of Clinical Neuroscience, KI, Stockholm, Sweden.,Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Simona Sacuiu
- Centre for Ageing and Health at The University of Gothenburg, Gothenburg, Sweden.,Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Neuropsychiatry, Gothenburg, Sweden
| | - Margda Waern
- Centre for Ageing and Health at The University of Gothenburg, Gothenburg, Sweden.,Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Department, Gothenburg, Sweden
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet (KI), Stockholm, Sweden
| | - Anna Zettergren
- Centre for Ageing and Health at The University of Gothenburg, Gothenburg, Sweden.,Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden
| | - Silke Kern
- Centre for Ageing and Health at The University of Gothenburg, Gothenburg, Sweden.,Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Neuropsychiatry, Gothenburg, Sweden
| | - Ingmar Skoog
- Centre for Ageing and Health at The University of Gothenburg, Gothenburg, Sweden.,Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at The University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Neuropsychiatry, Gothenburg, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet (KI), Stockholm, Sweden.,Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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18
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Soldan A, Pettigrew C, Zhu Y, Wang MC, Moghekar A, Gottesman RF, Singh B, Martinez O, Fletcher E, DeCarli C, Albert M. White matter hyperintensities and CSF Alzheimer disease biomarkers in preclinical Alzheimer disease. Neurology 2019; 94:e950-e960. [PMID: 31888969 DOI: 10.1212/wnl.0000000000008864] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 08/30/2019] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE Recent studies suggest that white matter hyperintensities (WMH) on MRI, which primarily reflect small vessel cerebrovascular disease, may play a role in the evolution of Alzheimer disease (AD). In a longitudinal study, we investigated whether WMH promote the progression of AD pathology, or alter the association between AD pathology and risk of progression from normal cognition to mild cognitive impairment (MCI). METHODS Two sets of analyses were conducted. The relationship between whole brain WMH load, based on fluid-attenuated inversion recovery MRI, obtained in initially cognitively normal participants (n = 274) and time to onset of symptoms of MCI (n = 60) was examined using Cox regression models. In a subset of the participants with both MRI and CSF data (n = 204), the interaction of WMH load and CSF AD biomarkers was also evaluated. RESULTS Baseline WMH load interacted with CSF total tau (t-tau) with respect to symptom onset, but not with CSF β-amyloid 1-42 or phosphorylated tau (p-tau) 181. WMH volume was associated with time to symptom onset of MCI among individuals with low t-tau (hazard ratio [HR] 1.35, confidence interval [CI] 1.06-1.73, p = 0.013), but not those with high t-tau (HR 0.86, CI 0.56-1.32, p = 0.47). The rate of change in the CSF biomarkers over time was not associated with the rate of change in WMH volumes. CONCLUSION These results suggest that WMH primarily affect the risk of progression when CSF measures of neurodegeneration or neuronal injury (as reflected by t-tau) are low. However, CSF biomarkers of amyloid and p-tau and WMH appear to have largely independent and nonsynergistic effects on the risk of progression to MCI.
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Affiliation(s)
- Anja Soldan
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis.
| | - Corinne Pettigrew
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
| | - Yuxin Zhu
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
| | - Mei-Cheng Wang
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
| | - Abhay Moghekar
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
| | - Rebecca F Gottesman
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
| | - Baljeet Singh
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
| | - Oliver Martinez
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
| | - Evan Fletcher
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
| | - Charles DeCarli
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
| | - Marilyn Albert
- From the Department of Neurology (A.S., C.P., A.M., R.F.G., M.A.), The Johns Hopkins University School of Medicine; Department of Biostatistics (Y.Z., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and Department of Neurology (B.S., O.M., E.F., C.D.), School of Medicine, University of California, Davis
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19
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Weaver NA, Doeven T, Barkhof F, Biesbroek JM, Groeneveld ON, Kuijf HJ, Prins ND, Scheltens P, Teunissen CE, van der Flier WM, Biessels GJ. Cerebral amyloid burden is associated with white matter hyperintensity location in specific posterior white matter regions. Neurobiol Aging 2019; 84:225-234. [DOI: 10.1016/j.neurobiolaging.2019.08.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 08/02/2019] [Accepted: 08/03/2019] [Indexed: 11/24/2022]
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20
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Catak C, Zedde M, Malik R, Janowitz D, Soric V, Seegerer A, Krebs A, Düring M, Opherk C, Linn J, Wollenweber FA. Decreased CSF Levels of ß-Amyloid in Patients With Cortical Superficial Siderosis. Front Neurol 2019; 10:439. [PMID: 31105644 PMCID: PMC6498501 DOI: 10.3389/fneur.2019.00439] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 04/10/2019] [Indexed: 12/17/2022] Open
Abstract
Background: Cortical superficial siderosis (cSS) represents a key neuroimaging marker of cerebral amyloid angiopathy (CAA) that is associated with intracranial hemorrhages and cognitive impairment. Nevertheless, the association between cSS and core cerebrospinal fluid (CSF) biomarkers for dementia remain unclear. Methods: One hundred and one patients with probable (79%, 80/101) or possible (21%, 21/101) CAA according to the modified Boston criteria and mild cognitive impairment according to Petersen criteria were prospectively included between 2011 and 2016. CSF analyses of ß-amyloid 42, ß-amyloid 40, total tau and phosphorylated tau were performed using sandwich-type enzyme-linked immunosorbent-assay. All patients received MRI and Mini-Mental-State Examination (MMSE). Logistic regression analysis was used to adjust for possible confounders. Results: cSS was present in 61% (62/101). Of those, 53% (33/62) had disseminated cSS and 47% (29/62) focal cSS. ß-amyloid 42 was lower in patients with cSS than in patients without cSS (OR 0.2; 95% CI 0.08–0.6; p = 0.0052) and lower in patients with disseminated cSS than in those with focal cSS (OR 0.02; 95% CI 0.003–0.2; p = 0.00057). Presence of cSS had no association with regard to ß-amyloid 40, total tau and phosphorylated tau. Conclusions: Our results demonstrate that the presence and extent of cSS are associated with reduced CSF ß-amyloid 42 levels. Further studies are needed to investigate the underlying mechanisms of this association.
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Affiliation(s)
- Cihan Catak
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Marialuisa Zedde
- Neurology Unit, Stroke Unit, Arcispedale Santa Maria Nuova, Azienda Unità Sanitaria Locale-IRCCS Reggio Emilia, Reggio Emilia, Italy
| | - Rainer Malik
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Vivian Soric
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Anna Seegerer
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Alexander Krebs
- MVZ Labor PD Dr. Volkmann und Kollegen, Gesellschaft Bürgerlichen Rechts, Karlsruhe, Germany
| | - Marco Düring
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Christian Opherk
- Klinik für Neurologie, SLK-Kliniken Heilbronn GmbH, Heilbronn, Germany
| | - Jennifer Linn
- Institut und Poliklinik für Neuroradiologie, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Frank A Wollenweber
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
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21
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Gong L, Tian X, Zhou J, Dong Q, Tan Y, Lu Y, Wu J, Zhao Y, Liu X. Iron Dyshomeostasis Induces Binding of APP to BACE1 for Amyloid Pathology, and Impairs APP/Fpn1 Complex in Microglia: Implication in Pathogenesis of Cerebral Microbleeds. Cell Transplant 2019; 28:1009-1017. [PMID: 30776900 PMCID: PMC6728710 DOI: 10.1177/0963689719831707] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
As a putative marker of cerebral small vessel disease, cerebral microbleeds (CMBs) have been associated with vascular cognitive impairment. Both iron accumulation and amyloid protein precursor (APP) dysregulation are recognized as pathological hallmarks underlying the progression of CMBs, but their cross-talk is not yet understood. In this study, we found a profound increase of amyloid formation with increasing FeCl3 treatment, and a distinct change in APP metabolism and expression of iron homeostasis proteins (ferritin, Fpn1, iron regulatory protein) was observed at the 300 uM concentration of FeCl3. Further results revealed that extracellular iron accumulation might potentially induce binding of APP to BACE1 for amyloid formation and decrease the capability of APP/Fpn1 in mediating iron export. Our findings in this study, reflecting a probable relationship between iron dyshomeostasis and amyloid pathology, may help shed light on the underlying pathogenesis of CMBs in vascular cognitive impairment.
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Affiliation(s)
- Li Gong
- 1 Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.,Li Gong, Jing Zhou and Xiangzhu Tian contributed equally to this article
| | - Xiangzhu Tian
- 1 Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.,Li Gong, Jing Zhou and Xiangzhu Tian contributed equally to this article
| | - Jing Zhou
- 2 Department of Neurosurgery, Binhai people's hospital, Jiangsu Province, China.,Li Gong, Jing Zhou and Xiangzhu Tian contributed equally to this article
| | - Qiong Dong
- 1 Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Yan Tan
- 1 Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - You Lu
- 1 Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Jiayan Wu
- 1 Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Yanxin Zhao
- 1 Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Xueyuan Liu
- 1 Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
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22
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Freeze WM, Jacobs HIL, Schreuder FHBM, van Oostenbrugge RJ, Backes WH, Verhey FR, Klijn CJM. Blood-Brain Barrier Dysfunction in Small Vessel Disease Related Intracerebral Hemorrhage. Front Neurol 2018; 9:926. [PMID: 30483207 PMCID: PMC6240684 DOI: 10.3389/fneur.2018.00926] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 10/12/2018] [Indexed: 02/03/2023] Open
Abstract
Background and Purpose: Hypertensive vasculopathy and cerebral amyloid angiopathy are the two most common forms of cerebral small vessel disease. Both forms are associated with the development of primary intracerebral hemorrhage, but the pathophysiological mechanisms underlying spontaneous vessel rupture remain unknown. This work constitutes a systematic review on blood-brain barrier dysfunction in the etiology of spontaneous intracerebral hemorrhage due to cerebral small vessel disease. Methods: We searched Medline (1946–2018) and Embase (1974–2018) for animal and human studies reporting on blood-brain barrier dysfunction associated with intracerebral hemorrhage or cerebral microbleeds. Results: Of 26 eligible studies, 10 were animal studies and 16 were in humans. The authors found indications for blood-brain barrier dysfunction in all four animal studies addressing hypertensive vasculopathy-related intracerebral hemorrhage (n = 32 hypertensive animals included in all four studies combined), and in four of six studies on cerebral amyloid angiopathy-related intracerebral hemorrhage (n = 47). Of the studies in humans, five of six studies in patients with cerebral amyloid angiopathy-related intracerebral hemorrhage (n = 117) and seven out of nine studies examining intracerebral hemorrhage with mixed or unspecified underlying etiology (n = 489) found indications for blood-brain barrier dysfunction. One post-mortem study in hypertensive vasculopathy-related intracerebral hemorrhage (n = 82) found no evidence for blood-brain barrier abnormalities. Conclusions: Signs of blood-brain barrier dysfunction were found in 20 out of 26 studies. Blood-brain barrier integrity deserves further investigation with a view to identification of potential treatment targets for spontaneous intracerebral hemorrhage.
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Affiliation(s)
- Whitney M Freeze
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands.,Department of Radiology & Nuclear Medicine, School for Mental Health & Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands
| | - Heidi I L Jacobs
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands.,Division of Nuclear Medicine & Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Floris H B M Schreuder
- Department of Neurology, Center for Neuroscience, Donders Institute for Brain Cognition & Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Robert J van Oostenbrugge
- Department of Neurology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Walter H Backes
- Department of Radiology & Nuclear Medicine, School for Mental Health & Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands
| | - Frans R Verhey
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Center for Neuroscience, Donders Institute for Brain Cognition & Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
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23
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Liu Y, Braidy N, Poljak A, Chan DKY, Sachdev P. Cerebral small vessel disease and the risk of Alzheimer's disease: A systematic review. Ageing Res Rev 2018; 47:41-48. [PMID: 29898422 DOI: 10.1016/j.arr.2018.06.002] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 05/10/2018] [Accepted: 06/05/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) comprises a variety of disorders affecting small arteries and microvessels of the brain, manifesting as white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), and deep brain infarcts. In addition to its contribution to vascular dementia (VaD), it has also been suggested to contribute to the pathogenesis of Alzheimer's disease (AD). METHOD A systematic review of the literature available on Medline, Embase and Pubmed was undertaken, whereby CSVD was divided into WMHs, CMBs and deep brain infarcts. Biomarkers of AD pathology in the cerebrospinal fluid or plasma, or positron emission tomographic imaging for amyloid and/or tau deposition were used for AD pathology. RESULTS A total of 4117 articles were identified and 41 articles met criteria for inclusion. These consisted of 17 articles on vascular risk factors for clinical AD, 21 articles on Aβ pathology and 15 articles on tau pathology, permitting ten meta-analyses. CMBs or lobar CMBs were associated with pooled relative risk (RR) of AD at 1.546, (95%CI 0.842-2.838, z = 1.41 p = 0.160) and 1.526(95%CI 0.760-3.063, z = 1.19, p = 0.235) respectively, both non-significant. Microinfarcts were associated with significantly increased AD risk, with pooled odds ratio OR at 1.203(95%CI 1.014-1.428, 2.12 p = 0.034). Aβ pathology was significantly associated with WMHs in AD patients but not in normal age-matched controls. The pooled β (linear regression) for total WMHs with CSF Aβ42 in AD patients was -0.19(95%CI -0.26-0.11, z = 4.83 p = 0.000) and the pooled r (correlation coefficient) for WMHs and PiB in the normal population was -0.10 (95%CI -0.11-0.30, 0.93 p = 0.351). CMBs were significantly associated with Aβ pathology in AD patients. The pooled standardized mean difference (SMD) was -0.453, 95%CI -0.697- -0.208, z = 3.63 p = 0.000. There was no significant relationship between the incidence of lacunes and levels of CSFAβ, with a pooled β of 0.057 (95%CI -0.050-0.163, z = 1.05 p = 0.295). No significant relationship was found between CMBs and the levels of CSFt-tau/CSFp-tau in AD patients (-0.014, 95%CI -0.556-0.529, z = 0.05 p = 0.960; -0.058, 95%CI -0.630-0.515, z = 0.20 p = 0.844) and cortical CMBs and CSF p-tau in the normal population (0.000, 95%CI -0.706-0.706, z = 0.00 p = 0.999). CONCLUSIONS Some CSVD markers were significantly associated with clinical AD pathology and may be associated with Aβ/tau pathology. WMHs and microinfarcts were associated with increased risk of AD. It remains unclear whether they precede or follow AD pathology.
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Affiliation(s)
- Yue Liu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Nady Braidy
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia.
| | - Anne Poljak
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia; School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Daniel K Y Chan
- Department of Aged Care and Rehabilitation, Bankstown Hospital, Bankstown, NSW, Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, Euroa Centre, Prince of Wales Hospital, Sydney, Australia
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24
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Lewczuk P, Riederer P, O’Bryant SE, Verbeek MM, Dubois B, Visser PJ, Jellinger KA, Engelborghs S, Ramirez A, Parnetti L, Jack CR, Teunissen CE, Hampel H, Lleó A, Jessen F, Glodzik L, de Leon MJ, Fagan AM, Molinuevo JL, Jansen WJ, Winblad B, Shaw LM, Andreasson U, Otto M, Mollenhauer B, Wiltfang J, Turner MR, Zerr I, Handels R, Thompson AG, Johansson G, Ermann N, Trojanowski JQ, Karaca I, Wagner H, Oeckl P, van Waalwijk van Doorn L, Bjerke M, Kapogiannis D, Kuiperij HB, Farotti L, Li Y, Gordon BA, Epelbaum S, Vos SJB, Klijn CJM, Van Nostrand WE, Minguillon C, Schmitz M, Gallo C, Mato AL, Thibaut F, Lista S, Alcolea D, Zetterberg H, Blennow K, Kornhuber J, Riederer P, Gallo C, Kapogiannis D, Mato AL, Thibaut F. Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry. World J Biol Psychiatry 2018; 19:244-328. [PMID: 29076399 PMCID: PMC5916324 DOI: 10.1080/15622975.2017.1375556] [Citation(s) in RCA: 189] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In the 12 years since the publication of the first Consensus Paper of the WFSBP on biomarkers of neurodegenerative dementias, enormous advancement has taken place in the field, and the Task Force takes now the opportunity to extend and update the original paper. New concepts of Alzheimer's disease (AD) and the conceptual interactions between AD and dementia due to AD were developed, resulting in two sets for diagnostic/research criteria. Procedures for pre-analytical sample handling, biobanking, analyses and post-analytical interpretation of the results were intensively studied and optimised. A global quality control project was introduced to evaluate and monitor the inter-centre variability in measurements with the goal of harmonisation of results. Contexts of use and how to approach candidate biomarkers in biological specimens other than cerebrospinal fluid (CSF), e.g. blood, were precisely defined. Important development was achieved in neuroimaging techniques, including studies comparing amyloid-β positron emission tomography results to fluid-based modalities. Similarly, development in research laboratory technologies, such as ultra-sensitive methods, raises our hopes to further improve analytical and diagnostic accuracy of classic and novel candidate biomarkers. Synergistically, advancement in clinical trials of anti-dementia therapies energises and motivates the efforts to find and optimise the most reliable early diagnostic modalities. Finally, the first studies were published addressing the potential of cost-effectiveness of the biomarkers-based diagnosis of neurodegenerative disorders.
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Affiliation(s)
- Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, and Department of Biochemical Diagnostics, University Hospital of Białystok, Białystok, Poland
| | - Peter Riederer
- Center of Mental Health, Clinic and Policlinic of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Sid E. O’Bryant
- Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Marcel M. Verbeek
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Salpêtrièrie Hospital, INSERM UMR-S 975 (ICM), Paris 6 University, Paris, France
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
- Department of Neurology, Alzheimer Centre, Amsterdam Neuroscience VU University Medical Centre, Amsterdam, The Netherlands
| | | | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Alfredo Ramirez
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Lucilla Parnetti
- Section of Neurology, Center for Memory Disturbances, Lab of Clinical Neurochemistry, University of Perugia, Perugia, Italy
| | | | - Charlotte E. Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, Paris, France
| | - Alberto Lleó
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Spain
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Disorders (DZNE), Bonn, Germany
| | - Lidia Glodzik
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Mony J. de Leon
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Anne M. Fagan
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - José Luis Molinuevo
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Willemijn J. Jansen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Bengt Winblad
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ulf Andreasson
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel and University Medical Center Göttingen, Department of Neurology, Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry & Psychotherapy, University of Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Martin R. Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Inga Zerr
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Clinical Dementia Centre, Department of Neurology, University Medical School, Göttingen, Germany
| | - Ron Handels
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | | | - Gunilla Johansson
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Huddinge, Sweden
| | - Natalia Ermann
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ilker Karaca
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Holger Wagner
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Linda van Waalwijk van Doorn
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
| | - Dimitrios Kapogiannis
- Laboratory of Neurosciences, National Institute on Aging/National Institutes of Health (NIA/NIH), Baltimore, MD, USA
| | - H. Bea Kuiperij
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer center, Nijmegen, The Netherlands
| | - Lucia Farotti
- Section of Neurology, Center for Memory Disturbances, Lab of Clinical Neurochemistry, University of Perugia, Perugia, Italy
| | - Yi Li
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | - Brian A. Gordon
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Stéphane Epelbaum
- Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Salpêtrièrie Hospital, INSERM UMR-S 975 (ICM), Paris 6 University, Paris, France
| | - Stephanie J. B. Vos
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Catharina J. M. Klijn
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Center, Nijmegen, The Netherlands
| | | | - Carolina Minguillon
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Matthias Schmitz
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Clinical Dementia Centre, Department of Neurology, University Medical School, Göttingen, Germany
| | - Carla Gallo
- Departamento de Ciencias Celulares y Moleculares/Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Andrea Lopez Mato
- Chair of Psychoneuroimmunoendocrinology, Maimonides University, Buenos Aires, Argentina
| | - Florence Thibaut
- Department of Psychiatry, University Hospital Cochin-Site Tarnier 89 rue d’Assas, INSERM 894, Faculty of Medicine Paris Descartes, Paris, France
| | - Simone Lista
- AXA Research Fund & UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, Paris, France
| | - Daniel Alcolea
- Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Spain
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
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25
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Abstract
PURPOSE OF REVIEW Alzheimer's disease and cerebrovascular disease (CVD) commonly co-occur. Whether CVD promotes the progression of Alzheimer's disease pathology remains a source of great interest. Recent technological developments have enabled us to examine their inter-relationship using quantifiable, biomarker-based approaches. We provide an overview of advances in understanding the relationship between vascular and Alzheimer's disease pathologies, with particular emphasis on β-amyloid and tau as measured by positron emission tomography and cerebrospinal fluid (CSF) concentration, and magnetic resonance imaging markers of small vessel disease (SVD). RECENT FINDINGS The relationship between cerebral β-amyloid and various markers of SVD has been widely studied, albeit with somewhat mixed results. Significant associations have been elucidated, particularly between β-amyloid burden and white matter hyperintensities (WMH), as well as lobar cerebral microbleeds (CMB), with additive effects on cognition. There is preliminary evidence for an association between SVD and tau burden in vivo, although compared with β-amyloid, fewer studies have examined this relationship. SUMMARY The overlap between Alzheimer's disease and cerebrovascular pathologies is now being increasingly supported by imaging and CSF biomarkers, indicating a synergistic effect of these co-pathologies on cognition. The association of WMH and CMB with Alzheimer's disease pathology does not establish direction of causality, for which long-term longitudinal studies are needed.
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26
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Lang B, Kindy MS, Kozel FA, Schultz SK, Taheri S. Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: The Impact of Diverse Cerebrovascular Injury Biomarkers. J Alzheimers Dis 2018; 62:39-60. [DOI: 10.3233/jad-170733] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Brittany Lang
- Clinical Psychology Program, University of South Florida, Tampa, FL, USA
| | - Mark S. Kindy
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA
- James A. Haley VA Medical Center, Tampa, FL, USA
| | - F. Andrew Kozel
- James A. Haley VA Medical Center, Tampa, FL, USA
- Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA
| | - Susan K. Schultz
- James A. Haley VA Medical Center, Tampa, FL, USA
- Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA
| | - Saeid Taheri
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA
- Byrd Alzheimer’s Institute, Tampa, FL, USA
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27
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Banerjee G, Carare R, Cordonnier C, Greenberg SM, Schneider JA, Smith EE, Buchem MV, Grond JVD, Verbeek MM, Werring DJ. The increasing impact of cerebral amyloid angiopathy: essential new insights for clinical practice. J Neurol Neurosurg Psychiatry 2017; 88:982-994. [PMID: 28844070 PMCID: PMC5740546 DOI: 10.1136/jnnp-2016-314697] [Citation(s) in RCA: 149] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 04/26/2017] [Accepted: 05/18/2017] [Indexed: 12/29/2022]
Abstract
Cerebral amyloid angiopathy (CAA) has never been more relevant. The last 5 years have seen a rapid increase in publications and research in the field, with the development of new biomarkers for the disease, thanks to advances in MRI, amyloid positron emission tomography and cerebrospinal fluid biomarker analysis. The inadvertent development of CAA-like pathology in patients treated with amyloid-beta immunotherapy for Alzheimer's disease has highlighted the importance of establishing how and why CAA develops; without this information, the use of these treatments may be unnecessarily restricted. Our understanding of the clinical and radiological spectrum of CAA has continued to evolve, and there are new insights into the independent impact that CAA has on cognition in the context of ageing and intracerebral haemorrhage, as well as in Alzheimer's and other dementias. While the association between CAA and lobar intracerebral haemorrhage (with its high recurrence risk) is now well recognised, a number of management dilemmas remain, particularly when considering the use of antithrombotics, anticoagulants and statins. The Boston criteria for CAA, in use in one form or another for the last 20 years, are now being reviewed to reflect these new wide-ranging clinical and radiological findings. This review aims to provide a 5-year update on these recent advances, as well as a look towards future directions for CAA research and clinical practice.
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Affiliation(s)
- Gargi Banerjee
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, UK
| | - Roxana Carare
- Division of Clinical Neurosciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Charlotte Cordonnier
- Department of Neurology, Université de Lille, Inserm U1171, Degenerative and Vascular Cognitive Disorders, Centre Hospitalier Régional Universitaire de Lille, Lille, France
| | - Steven M Greenberg
- J P Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Julie A Schneider
- Departments of Pathology and Neurological Sciences, Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Eric E Smith
- Hotchkiss Brain Institute, Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Mark van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marcel M Verbeek
- Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.,Departments of Neurology and Laboratory Medicine, Radboud Alzheimer Center, Nijmegen, The Netherlands
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology and the National Hospital for Neurology and Neurosurgery, London, UK
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28
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Shams S, Martola J, Charidimou A, Larvie M, Granberg T, Shams M, Kristoffersen-Wiberg M, Wahlund LO. Topography and Determinants of Magnetic Resonance Imaging (MRI)-Visible Perivascular Spaces in a Large Memory Clinic Cohort. J Am Heart Assoc 2017; 6:JAHA.117.006279. [PMID: 28939709 PMCID: PMC5634282 DOI: 10.1161/jaha.117.006279] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Magnetic resonance imaging‐visible perivascular spaces (PVS) are related to interstitial fluid clearance pathways (including amyloid‐β) in the brain and are suggested to be a marker of cerebral small vessel disease. We investigated the role, topography, and possible implications of PVS in cognitive impairment. Methods and Results A total of 1504 patients undergoing memory clinic investigation and an associated brain magnetic resonance imaging scan were included in this cross‐sectional study. Magnetic resonance images were assessed for markers of small vessel disease. Additionally, 1039 patients had cerebrospinal fluid analysis of amyloid‐β 42, total tau (T‐tau), and phosphorylated tau (P‐tau); 520 patients had apoE genotyping done. Results were analyzed with generalized linear models. A total of 289 (19%; 95% confidence interval, 17–21) had a high‐grade PVS in the centrum semiovale (CSO) and 65 (4%; 95% confidence interval: 3%–5%) in the basal ganglia (BG). Centrum semiovale– and BG‐PVS were both associated with high age (P<0.001), hypertension (P<0.001), probable cerebral amyloid angiopathy (P<0.05), moderate‐to‐severe white matter hyperintensities (P<0.001), cortical superficial siderosis (P<0.001), cerebral microbleeds (P<0.001), and PVS. centrum semiovale–PVS was separately associated with strictly lobar cerebral microbleeds (P=0.057). BG‐PVS was associated with strictly deep cerebral microbleeds (P<0.001), lacunes (P<0.001), and vascular dementia (P=0.04). BG‐PVS showed a tendency to be associated with high cerebrospinal fluid tau (B=0.002, P=0.04) in the whole cohort and in Alzheimer's disease (B=0.005; P=0.02). No other associations with cerebrospinal fluid or the apoE e4 allele was observed. Conclusions Centrum semiovale–PVS and BG‐PVS have different underlying etiology, being associated with cerebral amyloid angiopathy and hypertensive vasculopathy, respectively, although a significant overlap between these pathologies is likely to exist.
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Affiliation(s)
- Sara Shams
- Division of Medical Imaging and Technology, Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, Stockholm, Sweden .,Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Juha Martola
- Division of Medical Imaging and Technology, Department of Clinical Science, Intervention, and Technology, 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
| | - Mykol Larvie
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Tobias Granberg
- Division of Medical Imaging and Technology, Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, Stockholm, Sweden.,Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Mana Shams
- Division of Medical Imaging and Technology, Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, Stockholm, Sweden.,Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Kristoffersen-Wiberg
- Division of Medical Imaging and Technology, Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, Stockholm, Sweden.,Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Lars-Olof Wahlund
- Department of Neurobiology, Karolinska Institutet, Stockholm, Sweden.,Division of Clinical Geriatrics, Karolinska University Hospital, Stockholm, Sweden
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29
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Sun BL, Wang LH, Yang T, Sun JY, Mao LL, Yang MF, Yuan H, Colvin RA, Yang XY. Lymphatic drainage system of the brain: A novel target for intervention of neurological diseases. Prog Neurobiol 2017; 163-164:118-143. [PMID: 28903061 DOI: 10.1016/j.pneurobio.2017.08.007] [Citation(s) in RCA: 144] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 08/11/2017] [Accepted: 08/31/2017] [Indexed: 12/20/2022]
Abstract
The belief that the vertebrate brain functions normally without classical lymphatic drainage vessels has been held for many decades. On the contrary, new findings show that functional lymphatic drainage does exist in the brain. The brain lymphatic drainage system is composed of basement membrane-based perivascular pathway, a brain-wide glymphatic pathway, and cerebrospinal fluid (CSF) drainage routes including sinus-associated meningeal lymphatic vessels and olfactory/cervical lymphatic routes. The brain lymphatic systems function physiological as a route of drainage for interstitial fluid (ISF) from brain parenchyma to nearby lymph nodes. Brain lymphatic drainage helps maintain water and ion balance of the ISF, waste clearance, and reabsorption of macromolecular solutes. A second physiological function includes communication with the immune system modulating immune surveillance and responses of the brain. These physiological functions are influenced by aging, genetic phenotypes, sleep-wake cycle, and body posture. The impairment and dysfunction of the brain lymphatic system has crucial roles in age-related changes of brain function and the pathogenesis of neurovascular, neurodegenerative, and neuroinflammatory diseases, as well as brain injury and tumors. In this review, we summarize the key component elements (regions, cells, and water transporters) of the brain lymphatic system and their regulators as potential therapeutic targets in the treatment of neurologic diseases and their resulting complications. Finally, we highlight the clinical importance of ependymal route-based targeted gene therapy and intranasal drug administration in the brain by taking advantage of the unique role played by brain lymphatic pathways in the regulation of CSF flow and ISF/CSF exchange.
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Affiliation(s)
- Bao-Liang Sun
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China.
| | - Li-Hua Wang
- Affiliated Hospital of Weifang Medical University, Weifang, Shandong 261031, China
| | - Tuo Yang
- Center of Cerebrovascular Disease Research, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Jing-Yi Sun
- Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Gangwon 220-701, Republic of Korea
| | - Lei-Lei Mao
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China
| | - Ming-Feng Yang
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China
| | - Hui Yuan
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China
| | - Robert A Colvin
- Department of Biological Sciences, Interdisciplinary Graduate Program in Molecular and Cellular Biology, Neuroscience Program, Ohio University, Athens, OH 45701, USA
| | - Xiao-Yi Yang
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China.
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30
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Shams S, Fällmar D, Schwarz S, Wahlund LO, van Westen D, Hansson O, Larsson EM, Haller S. MRI of the Swallow Tail Sign: A Useful Marker in the Diagnosis of Lewy Body Dementia? AJNR Am J Neuroradiol 2017; 38:1737-1741. [PMID: 28705819 DOI: 10.3174/ajnr.a5274] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Accepted: 04/17/2017] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE There are, to date, no MR imaging diagnostic markers for Lewy body dementia. Nigrosome 1, containing dopaminergic cells, in the substantia nigra pars compacta is hyperintense on SWI and has been called the swallow tail sign, disappearing with Parkinson disease. We aimed to study the swallow tail sign and its clinical applicability in Lewy body dementia and hypothesized that the sign would be likewise applicable in Lewy body dementia. MATERIALS AND METHODS This was a retrospective cross-sectional multicenter study including 97 patients (mean age, 65 ± 10 years; 46% women), consisting of the following: controls (n = 21) and those with Lewy body dementia (n = 19), Alzheimer disease (n = 20), frontotemporal lobe dementia (n = 20), and mild cognitive impairment (n = 17). All patients underwent brain MR imaging, with susceptibility-weighted imaging at 1.5T (n = 46) and 3T (n = 51). The swallow tail sign was assessed independently by 2 neuroradiologists. RESULTS Interrater agreement was moderate (κ = 0.4) between raters. An abnormal swallow tail sign was most common in Lewy body dementia (63%; 95% CI, 41%-85%; P < .001) and had a predictive value only in Lewy body dementia with an odds ratio of 9 (95% CI, 3-28; P < .001). The consensus rating for Lewy body dementia showed a sensitivity of 63%, a specificity of 79%, a negative predictive value of 89%, and an accuracy of 76%; values were higher on 3T compared with 1.5T. The usefulness of the swallow tail sign was rater-dependent with the highest sensitivity equaling 100%. CONCLUSIONS The swallow tail sign has diagnostic potential in Lewy body dementia and may be a complement in the diagnostic work-up of this condition.
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Affiliation(s)
- S Shams
- From the Department of Clinical Science, Intervention, and Technology (S. Shams), Division of Medical Imaging and Technology .,Department of Radiology (S. Shams)
| | - D Fällmar
- Department of Surgical Sciences (D.F., E.-M.L.), Department of Radiology, Uppsala University, Uppsala, Sweden
| | - S Schwarz
- Radiological Sciences (S. Schwarz), Division of Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - L-O Wahlund
- Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet, Stockholm, Sweden.,Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden
| | | | - O Hansson
- Memory Clinic (O.H.), Skåne University Hospital and Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - E-M Larsson
- Department of Surgical Sciences (D.F., E.-M.L.), Department of Radiology, Uppsala University, Uppsala, Sweden.,Department of Radiology (E.-M.L., D.v.W.)
| | - S Haller
- Affidea CDRC Centre de Diagnostic Radiologique de Carouge SA (S.H.), Carouge GE, Geneva, Switzerland
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31
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Sparacia G, Agnello F, La Tona G, Iaia A, Midiri F, Sparacia B. Assessment of cerebral microbleeds by susceptibility-weighted imaging in Alzheimer's disease patients: A neuroimaging biomarker of the disease. Neuroradiol J 2017; 30:330-335. [PMID: 28463092 DOI: 10.1177/1971400916689483] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Purpose The objective of this study was to correlate the presence and distribution of cerebral microbleeds in Alzheimer's disease patients with cerebrospinal fluid biomarkers (amyloid-beta and phosphorylated tau 181 protein levels) and cognitive decline by using susceptibility-weighted imaging magnetic resonance sequences at 1.5 T. Material and methods Fifty-four consecutive Alzheimer's disease patients underwent brain magnetic resonance imaging at 1.5 T to assess the presence and distribution of cerebral microbleeds on susceptibility-weighted imaging images. The images were analyzed in consensus by two neuroradiologists, each with at least 10 years' experience. Dementia severity was assessed with the Mini-Mental State Examination score. A multiple regression analysis was performed to assess the associations between the number and location of cerebral microbleed lesions with the age, sex, duration of the disease, cerebrospinal fluid amyloid-beta and phosphorylated tau 181 protein levels, and cognitive functions. Results A total of 296 microbleeds were observed in 54 patients; 38 patients (70.4%) had lobar distribution, 13 patients (24.1%) had non-lobar distribution, and the remaining three patients (5.6%) had mixed distribution, demonstrating that Alzheimer's disease patients present mainly a lobar distribution of cerebral microbleeds. The age and the duration of the disease were correlated with the number of lobar cerebral microbleeds ( P < 0.001). Cerebrospinal fluid amyloid-beta, phosphorylated tau 181 protein levels, and cognitive decline were correlated with the number of lobar cerebral microbleeds in Alzheimer's disease patients ( P < 0.001). Conclusion Lobar distribution of cerebral microbleeds is associated with Alzheimer's disease and the number of lobar cerebral microbleeds directly correlates with cerebrospinal fluid amyloid-beta and phosphorylated tau 181 protein levels and with the cognitive decline of Alzheimer's disease patients.
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Affiliation(s)
- Gianvincenzo Sparacia
- 1 DIBIMED - Sezione di Scienze Radiologiche, Università degli Studi di Palermo, Italy
| | - Francesco Agnello
- 1 DIBIMED - Sezione di Scienze Radiologiche, Università degli Studi di Palermo, Italy
| | - Giuseppe La Tona
- 1 DIBIMED - Sezione di Scienze Radiologiche, Università degli Studi di Palermo, Italy
| | - Alberto Iaia
- 2 Neuroradiology Section, Christiana Care Health System, USA
| | - Federico Midiri
- 1 DIBIMED - Sezione di Scienze Radiologiche, Università degli Studi di Palermo, Italy
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Carmona-Iragui M, Balasa M, Benejam B, Alcolea D, Fernández S, Videla L, Sala I, Sánchez-Saudinós MB, Morenas-Rodriguez E, Ribosa-Nogué R, Illán-Gala I, Gonzalez-Ortiz S, Clarimón J, Schmitt F, Powell DK, Bosch B, Lladó A, Rafii MS, Head E, Molinuevo JL, Blesa R, Videla S, Lleó A, Sánchez-Valle R, Fortea J. Cerebral amyloid angiopathy in Down syndrome and sporadic and autosomal-dominant Alzheimer's disease. Alzheimers Dement 2017; 13:1251-1260. [PMID: 28463681 DOI: 10.1016/j.jalz.2017.03.007] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 03/10/2017] [Accepted: 03/17/2017] [Indexed: 12/11/2022]
Abstract
INTRODUCTION We aimed to investigate if cerebral amyloid angiopathy (CAA) is more frequent in genetically determined than in sporadic early-onset forms of Alzheimer's disease (AD) (early-onset AD [EOAD]). METHODS Neuroimaging features of CAA, apolipoprotein (APOE), and cerebrospinal fluid amyloid β (Aβ) 40 levels were studied in subjects with Down syndrome (DS, n = 117), autosomal-dominant AD (ADAD, n = 29), sporadic EOAD (n = 42), and healthy controls (n = 68). RESULTS CAA was present in 31%, 38%, and 12% of cognitively impaired DS, symptomatic ADAD, and sporadic EOAD subjects and in 13% and 4% of cognitively unimpaired DS individuals and healthy controls, respectively. APOE ε4 genotype was borderline significantly associated with CAA in sporadic EOAD (P = .06) but not with DS or ADAD. There were no differences in Aβ040 levels between groups or between subjects with and without CAA. DISCUSSION CAA is more frequently found in genetically determined AD than in sporadic EOAD. Cerebrospinal fluid Aβ40 levels are not a useful biomarker for CAA in AD.
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Affiliation(s)
- María Carmona-Iragui
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain; Global Brain Health Institute, Trinity College Dublin, College Green, Dublin, Ireland
| | - Mircea Balasa
- Global Brain Health Institute, Trinity College Dublin, College Green, Dublin, Ireland; Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Bessy Benejam
- Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain
| | - Daniel Alcolea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Susana Fernández
- Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain
| | - Laura Videla
- Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain
| | - Isabel Sala
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - María Belén Sánchez-Saudinós
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Estrella Morenas-Rodriguez
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Roser Ribosa-Nogué
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Ignacio Illán-Gala
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Sofía Gonzalez-Ortiz
- Department of Radiology, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jordi Clarimón
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Frederick Schmitt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - David K Powell
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Michael S Rafii
- Adult Down Syndrome Clinic, Department of Neuroscience, University of California, San Diego, CA, USA; Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, CA, USA
| | - Elizabeth Head
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - José Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain; BarcelonaBeta Brain Research Center, Fundació Pasqual Maragall, Universitat Pompeu Fabra, Barcelona, Spain
| | - Rafael Blesa
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Sebastián Videla
- Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain; Faculty of Health and Life Sciences, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Alberto Lleó
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain.
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Subic A, Cermakova P, Norrving B, Winblad B, von Euler M, Kramberger MG, Eriksdotter M, Garcia-Ptacek S. Management of acute ischaemic stroke in patients with dementia. J Intern Med 2017; 281:348-364. [PMID: 28150348 DOI: 10.1111/joim.12588] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
An estimated 10% of stroke patients have an underlying dementia. As a consequence, health professionals often face the challenge of managing patients with dementia presenting with an acute stroke. Patients with dementia are less likely to receive thrombolysis (0.56-10% vs. 1-16% thrombolysis rates in the general population), be admitted to a stroke unit or receive some types of care. Anticoagulation for secondary stroke prevention is sometimes withheld, despite dementia not being listed as an exclusion criterion in current guidelines. Studies in this population are scarce, and results have been contradictory. Three observational studies have examined intravenous thrombolysis for treatment of acute ischaemic stroke in patients with dementia. In the two largest matched case-control studies, there were no significant differences between patients with and without dementia in the risks of intracerebral haemorrhage or mortality. The risk of intracerebral haemorrhage ranged between 14% and 19% for patients with dementia. Studies of other interventions for stroke are lacking for this population. Patients with dementia are less likely to be discharged home compared with controls (19% vs. 41%) and more likely to be disabled (64% vs. 59%) or die during hospitalization (22% vs. 11%). The aim of this review was to summarize current knowledge about the management of ischaemic stroke in patients with pre-existing dementia, including organizational aspects of stroke care, intravenous thrombolysis, access to stroke unit care and use of supportive treatment. Evidence to support anticoagulation for secondary prevention of stroke in patients with atrial fibrillation and antiplatelet therapy in nonembolic stroke will be discussed, as well as rehabilitation and how these factors influence patient outcomes. Finally, ethical issues, knowledge gaps and pathways for future research will be considered.
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Affiliation(s)
- A Subic
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Stockholm, Sweden.,Department of Neurology, University Medical Center, Ljubljana, Slovenia
| | - P Cermakova
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Stockholm, Sweden.,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - B Norrving
- Department of Clinical Sciences Lund, Neurology, Lund University, Skane University Hospital, Lund, Sweden
| | - B Winblad
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Stockholm, Sweden
| | - M von Euler
- Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden.,Karolinska University Hospital, Department of Clinical Pharmacology, Stockholm, Sweden
| | - M G Kramberger
- Department of Neurology, University Medical Center, Ljubljana, Slovenia
| | - M Eriksdotter
- Department of Geriatric Medicine, Karolinska University Hospital, Huddinge, Stockholm, Sweden.,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Stockholm, Sweden
| | - S Garcia-Ptacek
- Department of Geriatric Medicine, Karolinska University Hospital, Huddinge, Stockholm, Sweden.,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Stockholm, Sweden
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34
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Shams S, Granberg T, Martola J, Charidimou A, Li X, Shams M, Fereshtehnejad SM, Cavallin L, Aspelin P, Wiberg-Kristoffersen M, Wahlund LO. Cerebral microbleeds topography and cerebrospinal fluid biomarkers in cognitive impairment. J Cereb Blood Flow Metab 2017; 37:1006-1013. [PMID: 27178426 PMCID: PMC5363477 DOI: 10.1177/0271678x16649401] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2015] [Revised: 03/12/2016] [Accepted: 04/06/2016] [Indexed: 01/23/2023]
Abstract
Cerebral microbleeds, a marker of small vessel disease, are thought to be of importance in cognitive impairment. We aimed to study topographical distribution of cerebral microbleeds, and their involvement in disease pathophysiology, reflected by cerebrospinal fluid biomarkers; 1039 patients undergoing memory investigation underwent lumbar puncture and a brain magnetic resonance imaging scan. Cerebrospinal fluid samples were analyzed for amyloid β(Aβ)42, total tau(T-tau), tau phosphorylated at threonine 18(P-tau) and cerebrospinal fluid/serum albumin ratios. Magnetic resonance imaging sequences were evaluated for small vessel disease markers, including cerebral microbleeds, white matter hyperintensities and lacunes. Low Aβ42 levels were associated with lobar cerebral microbleeds in the whole cohort and Alzheimer's disease ( P < 0.001). High cerebrospinal fluid/serum albumin ratios were seen with increased number of cerebral microbleeds in the brainstem ( P < 0.001). There were tendencies for increased Aβ42 levels and decreased Tau levels with deep and infratentorial cerebral microbleeds ( P < 0.05). Lobar cerebral microbleeds were associated with white matter hyperintensities and lacunes ( P < 0.001). Probable cerebral amyloid angiopathy-related cerebral microbleeds were associated with low Aβ42 levels and lacunes, whereas probable cerebral amyloid angiopathy-unrelated cerebral microbleeds were associated with white matter hyperintensities ( P < 0.001). Our findings show that cerebral microbleed distribution is associated with different patterns of cerebrospinal fluid biomarkers, supporting different pathogenesis of deep/infratentorial and lobar cerebral microbleeds.
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Affiliation(s)
- Sara Shams
- Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Tobias Granberg
- Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Juha Martola
- Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology, 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
| | - Xiaozhen Li
- Department of Neurobiology, Care Sciences and Society, H1, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
- Division of Clinical Geriatrics, Karolinska University Hospital, Stockholm, Sweden
| | - Mana Shams
- Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Seyed-Mohammad Fereshtehnejad
- Department of Neurobiology, Care Sciences and Society, H1, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
- Division of Clinical Geriatrics, Karolinska University Hospital, Stockholm, Sweden
| | - Lena Cavallin
- Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Peter Aspelin
- Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Wiberg-Kristoffersen
- Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Lars-Olof Wahlund
- Department of Neurobiology, Care Sciences and Society, H1, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
- Division of Clinical Geriatrics, Karolinska University Hospital, Stockholm, Sweden
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35
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Finch CE, Shams S. Apolipoprotein E and Sex Bias in Cerebrovascular Aging of Men and Mice. Trends Neurosci 2016; 39:625-637. [PMID: 27546867 PMCID: PMC5040339 DOI: 10.1016/j.tins.2016.07.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 06/30/2016] [Accepted: 07/01/2016] [Indexed: 11/18/2022]
Abstract
Alzheimer disease (AD) research has mainly focused on neurodegenerative processes associated with the classic neuropathologic markers of senile plaques and neurofibrillary tangles. Additionally, cerebrovascular contributions to dementia are increasingly recognized, particularly from cerebral small vessel disease (SVD). Remarkably, in AD brains, the apolipoprotein E (ApoE) ɛ4 allele shows male excess for cerebral microbleeds (CMBs), a marker of SVD, which is opposite to the female excess of plaques and tangles. Mouse transgenic models add further complexities to sex-ApoE ɛ4 allele interactions, with female excess of both CMBs and brain amyloid. We conclude that brain aging and AD pathogenesis cannot be understood in humans without addressing major gaps in the extent of sex differences in cerebrovascular pathology.
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Affiliation(s)
- Caleb E Finch
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA; Department of Biological Sciences, Dornsife College, University of Southern California, Los Angeles, CA, USA.
| | - Sara Shams
- Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology, Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Karolinska University Hospital, Stockholm, Sweden.
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36
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Shams S, Martola J, Charidimou A, Cavallin L, Granberg T, Shams M, Forslin Y, Aspelin P, Kristoffersen-Wiberg M, Wahlund LO. Cortical superficial siderosis: Prevalence and biomarker profile in a memory clinic population. Neurology 2016; 87:1110-7. [PMID: 27534713 DOI: 10.1212/wnl.0000000000003088] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 06/01/2016] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To gain further insight into cortical superficial siderosis (cSS), a new hemorrhagic neuroimaging marker of cerebral amyloid angiopathy (CAA), and to investigate the clinical, neuroimaging, genetic, and CSF biomarker profile of cSS in a large, consecutive memory clinic series. METHODS We included 1,504 memory clinic patients undergoing dementia investigation including a brain MRI in our center. Routine CSF biomarker analysis was performed in 1,039 patients and APOE genotyping in 520 patients. MRIs were systematically evaluated for presumed marker of small vessel disease: cSS, cerebral microbleeds, enlarged perivascular spaces, white matter hyperintensities, and lacunes. RESULTS cSS was detected in 40 patients (2.7%; 95% confidence interval [CI] 1.9-3.6); cSS was focal in 33 cases (2.2%; 95% CI 1.5-3.1) and disseminated in 7 (0.5%; 95% CI 0.2-1). Vascular dementia had the highest cSS prevalence (13%; 95% CI 5.4-24.9), followed by Alzheimer disease (5%; 95% CI 3.1-7.5). The most commonly affected area was the occipital lobe (70%; 95% CI 53.5-83.4). cSS was associated with lobar cerebral microbleeds (odds ratio [OR] 7.9; 95% CI 3.4-18.1; p < 0.001), high-degree centrum semiovale perivascular spaces (OR 1.7; 95% CI 1.2-2.6; p = 0.008), and white matter hyperintensities (OR 1.5; 95% CI 1.0-2.2; p = 0.062). APOE ε4/4 genotype was more common in cSS cases compared to those without. CSF β-amyloid 42 was lower in patients with cSS (coefficient -0.09; 95% CI -0.15 to -0.03; p = 0.004). CONCLUSIONS Our large series of memory clinic patients provides evidence that cSS is related to cerebrovascular disease and may be a manifestation of severe CAA, even in patients without intracerebral hemorrhage.
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Affiliation(s)
- Sara Shams
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston.
| | - Juha Martola
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston
| | - Andreas Charidimou
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston
| | - Lena Cavallin
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston
| | - Tobias Granberg
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston
| | - Mana Shams
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston
| | - Yngve Forslin
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston
| | - Peter Aspelin
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston
| | - Maria Kristoffersen-Wiberg
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston
| | - Lars-Olof Wahlund
- From the Department of Clinical Science, Intervention, and Technology, Division of Medical Imaging and Technology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.), and Department of Neurobiology, Care Sciences, and Society (L.-O.W.), Karolinska Institutet; Department of Radiology (S.S., J.M., L.C., T.G., M.S., Y.F., P.A., M.K.-W.) and Division of Clinical Geriatrics (L.-O.W.), Karolinska University Hospital, Stockholm, Sweden; and Hemorrhagic Stroke Research Program (A.C.), Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston
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