1
|
Zhang T, Lv H, Zhao X, Zeng N, Hui Y, Chen S, Wu N, Xu M, Wu Y, Xing A, Shi H, Zhang S, Liang X, Wang Y, Wu S, Cui L, Wang Z, Liu Y. Serum uric acid is associated with midbrain enlarged perivascular spaces: Results from Multi-modality Medical imaging sTudy bAsed on KaiLuan Study (META-KLS). Prog Neuropsychopharmacol Biol Psychiatry 2024; 133:111000. [PMID: 38580007 DOI: 10.1016/j.pnpbp.2024.111000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/15/2024] [Accepted: 03/30/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Serum uric acid (SUA) is a major cause of cardiovascular and cerebrovascular diseases. Whether and to what extent the excess risk of enlarged perivascular spaces (EPVS) conferred by SUA is unknown. The study was conducted to investigate the association between SUA and EPVS in different brain regions. METHODS Data are from Multi-modality medical imaging study based on Kailuan study (META-KLS) in this cross-sectional study. Participants were divided into five groups based on SUA levels, and EPVS in basal ganglia (BG), centrum semiovale (CSO) and midbrain (MB) was systematically assessed and divided into Low and High group. Odds ratio (OR) and 95% confidence intervals (95% CIs) for high EPVS outcomes were estimated using multivariable logistic regression analysis. Restricted cubic spline (RCS) was used to further investigate dose-response relationship. RESULTS A total of 1014 participants aged 25-83 years from 11 centers were enrolled in the study. In the multivariable-adjusted model, SUA, as an independent risk factor, correlated positively with high degree of MB-EPVS (OR, 1.002; 95% CI, 1.000 to 1.004; p = 0.023) in general population. In addition, RCS further demonstrated the linear association between SUA and MB-EPVS (p = 0.072). No association was found between SUA and BG-EPVS or CSO-EPVS. CONCLUSION SUA was an independent risk factor of MB-EPVS. High SUA levels were more predictive of increased risk occurrence of high degree of MB-EPVS, supporting a linear association between SUA and MB-EPVS and further indicating that SUA may play an important role in cerebral small vessel disease. TRIAL REGISTRATION The KaiLuan Study and META-KLS were registered online (ChiCTR2000029767 on chictr.org.cn and NCT05453877 on Clinicaltrials.gov, respectively).
Collapse
Affiliation(s)
- Tong Zhang
- Department of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Han Lv
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xinyu Zhao
- Clinical Epidemiology & EBM Unit, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Na Zeng
- School of Public Health, Peking University, Beijing, China
| | - Ying Hui
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiovascular Lab, Kailuan General Hospital, Tangshan, Hebei, China
| | - Ning Wu
- Department of Medical Imaging, Yanjing Medical College, Capital Medical University, Beijing, China
| | - Mingze Xu
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; Beijing Intelligent Brain Cloud Inc, Beijing, China
| | - YunTao Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Aijun Xing
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Huijing Shi
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Shun Zhang
- Department of Psychiatry, Kailuan Mental Health Center, Tangshan, Hebei, China
| | - Xiaoliang Liang
- Department of Psychiatry, Kailuan Mental Health Center, Tangshan, Hebei, China
| | - Yongxin Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China; Department of MR, Kailuan General Hospital, Tangshan, Hebei, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Liufu Cui
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
| | - Yanying Liu
- Department of Rheumatology and Immunology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
| |
Collapse
|
2
|
Mena Romo L, Mengual JJ, Avellaneda-Gómez C, García-Sánchez SM, Font MÀ, Montull C, Castrillo L, Lleixa M, Bargalló N, Laredo C, Amaro S, Armario P, Gómez-Choco M. Association between blood-brain barrier permeability and changes in pulse wave velocity following a recent small subcortical infarct. Hypertens Res 2024:10.1038/s41440-024-01764-x. [PMID: 38942814 DOI: 10.1038/s41440-024-01764-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/27/2024] [Accepted: 06/04/2024] [Indexed: 06/30/2024]
Abstract
Cerebral small vessel disease (cSVD) is associated with increased blood-brain barrier (BBB) permeability. We sought to evaluate whether arterial stiffness might be associated with BBB permeability in patients with cSVD. We assessed BBB permeability using Dynamic Contrast-Enhanced MRI (DCE-MRI) in 29 patients that had suffered a recent small subcortical infarct (RSSI). BBB permeability in the whole brain (WB), gray matter (GM) and white matter (WM) was assessed with the parameter Ktrans. We used ambulatory blood pressure monitoring to measure 24-h systolic blood pressure (24-h SBP), diastolic blood pressure (24-h DBP), and pulse wave velocity (24-h PWV) both after stroke and following a 2-year follow-up. The differences between both measurements were calculated as Δ24-h SBP, Δ24-h DBP and Δ24-h PWV. DCE-MRI was acquired at a median (IQR) of 24 (19-27) months after stroke. Median age was 66.7 (9.7) years, and 24 (83%) patients were men. Median (IQR) Δ24-h PWV was 0.3 (-0.1, 0.5) m/s. WB-Ktrans, GM-Ktrans, and WM-Ktrans were associated with Δ24-h PWV (Spearman's, r [95% CI], WB 0.651 [0.363-0.839]; GM 0.657 [0.373-0.845], WM 0.530[0.197-0.777]) but not with Δ24-h SBP or Δ24-h DBP. These associations remained significant after adjustment with linear regression models, controlling for age, sex, body mass index, and Δ24-h SBP (b[95% CI], WB 0.725[0.384-1.127], GM 0.629 [0.316-1.369], WM 0.865 [0.455-0.892]) or Δ24-h DBP (b[95% CI], WM 0.707 [0.370-1.103], GM 0.643 [0.352-1.371], WM 0.772 [0.367-0.834]). Our results suggest that an increment on arterial stiffness in the months following a RSSI might increase BBB permeability.
Collapse
Affiliation(s)
- Luis Mena Romo
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Juan José Mengual
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Carla Avellaneda-Gómez
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Sonia María García-Sánchez
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
- Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain
| | | | - Caterina Montull
- Radiology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Laura Castrillo
- Radiology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Mercè Lleixa
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
| | - Nuria Bargalló
- Radiology Department CDIC, Neuroradiology section, Hospital Clínic de Barcelona., Barcelona, Spain
| | - Carlos Laredo
- Magnetic Resonance Imaging Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Sergio Amaro
- Comprehensive Stroke Center, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Neurociéncies Clíniques i Experimentals, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Pedro Armario
- Internal Medicine Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Manuel Gómez-Choco
- Neurology Department, Complex Hospitalari Universitari Moisès Broggi, Sant Joan Despí, Spain.
- Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.
| |
Collapse
|
3
|
Tuovinen T, Häkli J, Rytty R, Krüger J, Korhonen V, Järvelä M, Helakari H, Kananen J, Nikkinen J, Veijola J, Remes AM, Kiviniemi V. The relative brain signal variability increases in the behavioral variant of frontotemporal dementia and Alzheimer's disease but not in schizophrenia. J Cereb Blood Flow Metab 2024:271678X241262583. [PMID: 38897598 DOI: 10.1177/0271678x241262583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Overlapping symptoms between Alzheimer's disease (AD), behavioral variant of frontotemporal dementia (bvFTD), and schizophrenia (SZ) can lead to misdiagnosis and delays in appropriate treatment, especially in cases of early-onset dementia. To determine the potential of brain signal variability as a diagnostic tool, we assessed the coefficient of variation of the BOLD signal (CVBOLD) in 234 participants spanning bvFTD (n = 53), AD (n = 17), SZ (n = 23), and controls (n = 141). All underwent functional and structural MRI scans. Data unveiled a notable increase in CVBOLD in bvFTD patients across both datasets (local and international, p < 0.05), revealing an association with clinical scores (CDR and MMSE, r = 0.46 and r = -0.48, p < 0.0001). While SZ and control group demonstrated no significant differences, a comparative analysis between AD and bvFTD patients spotlighted elevated CVBOLD in the frontopolar cortices for the latter (p < 0.05). Furthermore, CVBOLD not only presented excellent diagnostic accuracy for bvFTD (AUC 0.78-0.95) but also showcased longitudinal repeatability. During a one-year follow-up, the CVBOLD levels increased by an average of 35% in the bvFTD group, compared to a 2% increase in the control group (p < 0.05). Our findings suggest that CVBOLD holds promise as a biomarker for bvFTD, offering potential for monitoring disease progression and differentiating bvFTD from AD and SZ.
Collapse
Affiliation(s)
- Timo Tuovinen
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Jani Häkli
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Riikka Rytty
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Neurology, Hyvinkää Hospital, The Wellbeing Services County of Central Uusimaa, Hyvinkää, Finland
| | - Johanna Krüger
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Neurology, Neurocenter, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Vesa Korhonen
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Matti Järvelä
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Heta Helakari
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Janne Kananen
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Clinical Neurophysiology, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Juha Nikkinen
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Department of Oncology and Radiotherapy, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Juha Veijola
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Research Unit of Clinical Medicine, Department of Psychiatry, University of Oulu, Oulu, Finland
- Department of Psychiatry, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Anne M Remes
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Vesa Kiviniemi
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| |
Collapse
|
4
|
Wang L, Lyu J, Han D, Bian X, Zhang D, Wang H, Hao F, Duan L, Ma L, Lou X. Imaging Assessments and Clinical Significance of Brain Frailty in Moyamoya Disease. AJNR Am J Neuroradiol 2024:ajnr.A8232. [PMID: 38782594 DOI: 10.3174/ajnr.a8232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/09/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND AND PURPOSE Imaging assessment of brain frailty in ischemic stroke has been extensively studied, while the correlation between brain frailty and Moyamoya disease remains obscure. This study aimed to investigate the imaging characteristics of brain frailty and its clinical applications in Moyamoya disease. MATERIALS AND METHODS This study included 60 patients with Moyamoya disease (107 hemispheres). All patients were divided into stroke and nonstroke groups based on clinical symptoms and imaging findings. The modified brain frailty score was adapted to consider 4 imaging signs: white matter hyperintensity, enlargement of perivascular space, old vascular lesions, and cerebral microbleed. The relative CBF of the MCA territory was quantified using pseudocontinuous arterial-spin labeling. Surgical outcome after revascularization surgery was defined by the Matsushima grade. RESULTS The relative CBF of the MCA territory decreased as the modified brain frailty score and periventricular white matter hyperintensity grades increased (ρ = -0.22, P = .02; ρ = -0.27, P = .005). Clinically, the modified brain frailty score could identify patients with Moyamoya disease with stroke (OR = 2.00, P = .02). Although the modified brain frailty score showed no predictive value for surgical outcome, basal ganglia enlargement of the perivascular space had a significant correlation with the postoperative Matsushima grade (OR = 1.29, P = .03). CONCLUSIONS The modified brain frailty score could reflect a cerebral perfusion deficit and clinical symptoms of Moyamoya disease, and its component basal ganglia enlargement of perivascular space may be a promising marker to predict surgical outcome and thus aid future clinical decision-making.
Collapse
Affiliation(s)
- Liuxian Wang
- From the Department of Radiology (L.X.W., J.H.L., D.S.H., X.B.B., D.K.Z., H.W., L.M., X.L.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| | - Jinhao Lyu
- From the Department of Radiology (L.X.W., J.H.L., D.S.H., X.B.B., D.K.Z., H.W., L.M., X.L.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| | - Dongshan Han
- From the Department of Radiology (L.X.W., J.H.L., D.S.H., X.B.B., D.K.Z., H.W., L.M., X.L.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| | - Xiangbing Bian
- From the Department of Radiology (L.X.W., J.H.L., D.S.H., X.B.B., D.K.Z., H.W., L.M., X.L.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| | - Dekang Zhang
- From the Department of Radiology (L.X.W., J.H.L., D.S.H., X.B.B., D.K.Z., H.W., L.M., X.L.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| | - Hui Wang
- From the Department of Radiology (L.X.W., J.H.L., D.S.H., X.B.B., D.K.Z., H.W., L.M., X.L.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| | - Fangbin Hao
- Department of Neurosurgery (F.B.H., L.D.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| | - Lian Duan
- Department of Neurosurgery (F.B.H., L.D.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| | - Lin Ma
- From the Department of Radiology (L.X.W., J.H.L., D.S.H., X.B.B., D.K.Z., H.W., L.M., X.L.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| | - Xin Lou
- From the Department of Radiology (L.X.W., J.H.L., D.S.H., X.B.B., D.K.Z., H.W., L.M., X.L.), Chinese PLA General Hospital/Chinese PLA Medical School, Beijing, China
| |
Collapse
|
5
|
Chen Y, Zhao Z, Huang J, Wang T, Qu Y. Computer-aided cognitive training combined with tDCS can improve post-stroke cognitive impairment and cerebral vasomotor function: a randomized controlled trial. BMC Neurol 2024; 24:132. [PMID: 38641827 PMCID: PMC11027365 DOI: 10.1186/s12883-024-03613-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 03/26/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND Post-stroke cognitive impairment (PSCI) is the focus and difficulty of poststroke rehabilitation intervention with an incidence of up to 61%, which may be related to the deterioration of cerebrovascular function. Computer-aided cognitive training (CACT) can improve cognitive function through scientific training targeting activated brain regions, becoming a popular training method in recent years. Transcranial direct current stimulation (tDCS), a non-invasive brain stimulation technique, can regulate the cerebral vascular nerve function, and has an effect on the rehabilitation of cognitive dysfunction after stroke. This study examined the effectiveness of both CACT and tDCS on cognitive and cerebrovascular function after stroke, and explored whether CACT combined with tDCS was more effective. METHODS A total of 72 patients with PSCI were randomly divided into the conventional cognitive training (CCT) group (n = 18), tDCS group (n = 18), CACT group (n = 18), and CACT combined with tDCS group (n = 18). Patients in each group received corresponding 20-minute treatment 15 times a week for 3 consecutive weeks. Montreal Cognitive Assessment (MoCA) and the Instrumental Activities of Daily Living Scale (IADL) were used to assess patients' cognitive function and the activities of daily living ability. Transcranial Doppler ultrasound (TCD) was used to assess cerebrovascular function, including cerebral blood flow velocity (CBFV), pulse index (PI), and breath holding index (BHI). These outcome measures were measured before and after treatment. RESULTS Compared with those at baseline, both the MoCA and IADL scores significantly increased after treatment (P < 0.01) in each group. There was no significantly difference in efficacy among CCT, CACT and tDCS groups. The CACT combined with tDCS group showed greater improvement in MoCA scores compared with the other three groups (P < 0.05), especially in the terms of visuospatial and executive. BHI significantly improved only in CACT combined with tDCS group after treatment (p ≤ 0.05) but not in the other groups. Besides, no significant difference in CBFV or PI was found before and after the treatments in all groups. CONCLUSION Both CACT and tDCS could be used as an alternative to CCT therapy to improve cognitive function and activities of daily living ability after stroke. CACT combined with tDCS may be more effective improving cognitive function and activities of daily living ability in PSCI patients, especially visuospatial and executive abilities, which may be related to improved cerebral vasomotor function reflected by the BHI. TRIAL REGISTRATION NUMBER The study was registered in the Chinese Registry of Clinical Trials (ChiCTR2100054063). Registration date: 12/08/2021.
Collapse
Affiliation(s)
- Yin Chen
- Department of Rehabilitation MedicineInstitute/University/Hospita, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- College of Rehabilitation Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- Sichuan Provincial Key Laboratory of Rehabilitation Medicine, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Ziqi Zhao
- Department of Rehabilitation MedicineInstitute/University/Hospita, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- College of Rehabilitation Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- Sichuan Provincial Key Laboratory of Rehabilitation Medicine, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Jiapeng Huang
- Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, China
| | - Tingting Wang
- Department of Rehabilitation MedicineInstitute/University/Hospita, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- College of Rehabilitation Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- Sichuan Provincial Key Laboratory of Rehabilitation Medicine, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yun Qu
- Department of Rehabilitation MedicineInstitute/University/Hospita, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China.
- College of Rehabilitation Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China.
- Sichuan Provincial Key Laboratory of Rehabilitation Medicine, Sichuan University, Chengdu, Sichuan, 610041, China.
| |
Collapse
|
6
|
Chen Y, He X, Cai J, Li Q. Functional aspects of the brain lymphatic drainage system in aging and neurodegenerative diseases. J Biomed Res 2024; 38:206-221. [PMID: 38430054 PMCID: PMC11144931 DOI: 10.7555/jbr.37.20230264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/30/2023] [Accepted: 02/29/2024] [Indexed: 03/03/2024] Open
Abstract
The phenomenon of an aging population is advancing at a precipitous rate. Alzheimer's disease (AD) and Parkinson's disease (PD) are two of the most common age-associated neurodegenerative diseases, both of which are primarily characterized by the accumulation of toxic proteins and the progressive demise of neuronal structures. Recent discoveries about the brain lymphatic drainage system have precipitated a growing body of investigations substantiating its novel roles, including the clearance of macromolecular waste and the trafficking of immune cells. Notably, aquaporin 4-mediated glymphatic transport, crucial for maintaining neural homeostasis, becomes disrupted during the aging process and is further compromised in the pathogenesis of AD and PD. Functional meningeal lymphatic vessels, which facilitate the drainage of cerebrospinal fluid into the deep cervical lymph nodes, are integral in bridging the central nervous system with peripheral immune responses. Dysfunction in these meningeal lymphatic vessels exacerbates pathological trajectory of the age-related neurodegenerative disease. This review explores modulatory influence of the glymphatic system and meningeal lymphatic vessels on the aging brain and its associated neurodegenerative disorders. It also encapsulates the insights of potential mechanisms and prospects of the targeted non-pharmacological interventions.
Collapse
Affiliation(s)
- Yan Chen
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Shandong Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China
| | - Xiaoxin He
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Jiachen Cai
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Qian Li
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| |
Collapse
|
7
|
Allison EY, Al-Khazraji BK. Cerebrovascular adaptations to habitual resistance exercise with aging. Am J Physiol Heart Circ Physiol 2024; 326:H772-H785. [PMID: 38214906 DOI: 10.1152/ajpheart.00625.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/10/2024] [Accepted: 01/10/2024] [Indexed: 01/13/2024]
Abstract
Resistance training (RT) is associated with improved metabolism, bone density, muscular strength, and lower risk of osteoporosis, sarcopenia, and cardiovascular disease. Although RT imparts many physiological benefits, cerebrovascular adaptations to chronic RT are not well defined. Participation in RT is associated with greater resting peripheral arterial diameters, improved endothelial function, and general cardiovascular health, whereas simultaneously linked to reductions in central arterial compliance. Rapid blood pressure fluctuations during resistance exercise, combined with reduced arterial compliance, could lead to cerebral microvasculature damage and subsequent cerebral hypoperfusion. Reductions in cerebral blood flow (CBF) accompany normal aging, where chronic reductions in CBF are associated with changes in brain structure and function, and increased risk of neurodegeneration. It remains unclear whether reductions in arterial compliance with RT relate to subclinical cerebrovascular pathology, or if such adaptations require interpretation in the context of RT specifically. The purpose of this narrative review is to synthesize literature pertaining to cerebrovascular adaptations to RT at different stages of the life span. This review also aims to identify gaps in the current understanding of the long-term impacts of RT on cerebral hemodynamics and provide a mechanistic rationale for these adaptations as they relate to aging, cerebral vasculature, and overall brain health.
Collapse
Affiliation(s)
- Elric Y Allison
- Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
| | - Baraa K Al-Khazraji
- Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
- School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada
| |
Collapse
|
8
|
Zavriyev AI, Kaya K, Wu KC, Pierce ET, Franceschini MA, Robinson MB. Measuring pulsatile cortical blood flow and volume during carotid endarterectomy. BIOMEDICAL OPTICS EXPRESS 2024; 15:1355-1369. [PMID: 38495722 PMCID: PMC10942688 DOI: 10.1364/boe.507730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 03/19/2024]
Abstract
Carotid endarterectomy (CEA) involves removal of plaque in the carotid artery to reduce the risk of stroke and improve cerebral perfusion. This study aimed to investigate the utility of assessing pulsatile blood volume and flow during CEA. Using a combined near-infrared spectroscopy/diffuse correlation spectroscopy instrument, pulsatile hemodynamics were assessed in 12 patients undergoing CEA. Alterations to pulsatile amplitude, pulse transit time, and beat morphology were observed in measurements ipsilateral to the surgical side. The additional information provided through analysis of pulsatile hemodynamic signals has the potential to enable the discovery of non-invasive biomarkers related to cortical perfusion.
Collapse
Affiliation(s)
- Alexander I. Zavriyev
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kutlu Kaya
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kuan Cheng Wu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Eric T. Pierce
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Maria Angela Franceschini
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Mitchell B. Robinson
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
9
|
Xie L, Zhang Y, Hong H, Xu S, Cui L, Wang S, Li J, Liu L, Lin M, Luo X, Li K, Zeng Q, Zhang M, Zhang R, Huang P. Higher intracranial arterial pulsatility is associated with presumed imaging markers of the glymphatic system: An explorative study. Neuroimage 2024; 288:120524. [PMID: 38278428 DOI: 10.1016/j.neuroimage.2024.120524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/17/2024] [Accepted: 01/23/2024] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND Arterial pulsation has been suggested as a key driver of paravascular cerebrospinal fluid flow, which is the foundation of glymphatic clearance. However, whether intracranial arterial pulsatility is associated with glymphatic markers in humans has not yet been studied. METHODS Seventy-three community participants were enrolled in the study. 4D phase-contrast magnetic resonance imaging (MRI) was used to quantify the hemodynamic parameters including flow pulsatility index (PIflow) and area pulsatility index (PIarea) from 13 major intracerebral arterial segments. Three presumed neuroimaging markers of the glymphatic system were measured: including dilation of perivascular space (PVS), diffusivity along the perivascular space (ALPS), and volume fraction of free water (FW) in white matter. We explored the relationships between PIarea, PIflow, and the presumed glymphatic markers, controlling for related covariates. RESULTS PIflow in the internal carotid artery (ICA) C2 segment (OR, 1.05; 95 % CI, 1.01-1.10, per 0.01 increase in PI) and C4 segment (OR, 1.05; 95 % CI, 1.01-1.09) was positively associated with the dilation of basal ganglia PVS, and PIflow in the ICA C4 segment (OR, 1.06, 95 % CI, 1.02-1.10) was correlated with the dilation of PVS in the white matter. ALPS was associated with PIflow in the basilar artery (β, -0.273, p, 0.046) and PIarea in the ICA C2 (β, -0.239, p, 0.041) and C7 segments (β, -0.238, p, 0.037). CONCLUSIONS Intracranial arterial pulsatility was associated with presumed neuroimaging markers of the glymphatic system, but the results were not consistent across different markers. Further studies are warranted to confirm these findings.
Collapse
Affiliation(s)
- Linyun Xie
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Yao Zhang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Hui Hong
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Shan Xu
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Lei Cui
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Shuyue Wang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Jixuan Li
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Lingyun Liu
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Miao Lin
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Xiao Luo
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Kaicheng Li
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Qingze Zeng
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Minming Zhang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Ruiting Zhang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Peiyu Huang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China.
| |
Collapse
|
10
|
Fois M, Diaz-Artiles A, Zaman SY, Ridolfi L, Scarsoglio S. Linking cerebral hemodynamics and ocular microgravity-induced alterations through an in silico-in vivo head-down tilt framework. NPJ Microgravity 2024; 10:22. [PMID: 38413627 PMCID: PMC10899661 DOI: 10.1038/s41526-024-00366-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 02/15/2024] [Indexed: 02/29/2024] Open
Abstract
Head-down tilt (HDT) has been widely proposed as a terrestrial analog of microgravity and used also to investigate the occurrence of spaceflight-associated neuro-ocular syndrome (SANS), which is currently considered one of the major health risks for human spaceflight. We propose here an in vivo validated numerical framework to simulate the acute ocular-cerebrovascular response to 6° HDT, to explore the etiology and pathophysiology of SANS. The model links cerebral and ocular posture-induced hemodynamics, simulating the response of the main cerebrovascular mechanisms, as well as the relationship between intracranial and intraocular pressure to HDT. Our results from short-term (10 min) 6° HDT show increased hemodynamic pulsatility in the proximal-to-distal/capillary-venous cerebral direction, a marked decrease (-43%) in ocular translaminar pressure, and an increase (+31%) in ocular perfusion pressure, suggesting a plausible explanation of the underlying mechanisms at the onset of ocular globe deformation and edema formation over longer time scales.
Collapse
Affiliation(s)
- Matteo Fois
- Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, 10129, Italy.
| | - Ana Diaz-Artiles
- Department of Aerospace Engineering, Texas A&M University, 3141 TAMU, College Station, TX, 77843-3141, USA
- Department of Kinesiology and Sport Management, Texas A&M University, 2929 Research Pkwy, College Station, TX, 77845, USA
| | - Syeda Yasmin Zaman
- Department of Aerospace Engineering, Texas A&M University, 3141 TAMU, College Station, TX, 77843-3141, USA
| | - Luca Ridolfi
- Department of Environmental, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, 10129, Italy
- PolitoBioMed Lab, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, 10129, Italy
| | - Stefania Scarsoglio
- Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, 10129, Italy
- PolitoBioMed Lab, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, 10129, Italy
| |
Collapse
|
11
|
Zhong W, Xia Y, Ying Y, Wang Y, Yang L, Liang X, Zhao Q, Wu J, Liang Z, Wang X, Cheng X, Ding D, Dong Q. Cerebral pulsatility in relation with various imaging markers of cerebral small vessel disease: a longitudinal community-based study. Ther Adv Neurol Disord 2024; 17:17562864241227304. [PMID: 38371383 PMCID: PMC10874147 DOI: 10.1177/17562864241227304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 01/03/2024] [Indexed: 02/20/2024] Open
Abstract
Background Cerebral pulsatility is thought to reflect arterial stiffness and downstream microvascular resistance. Although previous studies indicated cerebral pulsatility might closely relate to development of cerebral small vessel disease (SVD), yet evidence remain controversial and longitudinal data are rare. Objective We aimed to explore relationships of cerebral pulsatility with severity and progression of various SVD imaging markers among the community-dwelling elderly. Design A longitudinal cohort study. Methods As part of the prospective community-based Shanghai Aging Study cohort, dementia- and stroke-free elderly were recruited for baseline assessment of cerebral pulsatility and SVD severity during 2010-2011 and traced for SVD progression during 2016-2017. Cerebral pulsatility was quantified for both anterior and posterior circulation with transcranial Doppler ultrasound. SVD imaging markers were measured with brain magnetic resonance imaging (MRI) including white matter hyperintensities (WMHs), enlarged perivascular spaces (ePVS), lacunes, and microbleeds. The cross-sectional and longitudinal relationships between cerebral pulsatility and SVD were analyzed by univariable and multivariable regression models. Results Totally, 188 eligible subjects were included at baseline and out of them, 100 (53.19%) returned for a 7-year follow-up. At baseline, increased pulsatility of posterior circulation was independently associated with more periventricular WMH (PWMH) and ePVS in basal ganglia (BG-ePVS) but not with other SVD markers. Longitudinally, higher posterior pulsatility predicted greater PWMH progression in participants with hypertension (β = 2.694, standard error [SE] = 1.112, p = 0.020), whereas pulsatility of anterior circulation was shown to prevent BG-ePVS progression among followed-up elderly (β = -6.737, SE = 2.685, p = 0.012). However, no significant relationship was found between cerebral pulsatility and burden of lacunes or cerebral microbleeds. Conclusion Higher pulsatility of posterior circulation could worsen PWMH progression, especially for participants with hypertension. But for development of ePVS, increased cerebral pulsatility could play a compensatory role among several healthy elderly. The distinct relationships between cerebral pulsatility and various SVD markers emphasized the importance of individualized SVD management.
Collapse
Affiliation(s)
- Weiyi Zhong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yiwei Xia
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yunqing Ying
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yi Wang
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Lumeng Yang
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Institute of Neurology, National Clinical Research, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, National Clinical Research, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianjun Wu
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Zonghui Liang
- Department of Radiology, Jing’an District Center Hospital, Shanghai, China
| | - Xiaoxiao Wang
- Center for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Xin Cheng
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ding Ding
- Institute of Neurology, National Clinical Research, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, Shanghai 200040, China
| | - Qiang Dong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, Shanghai 200040, China
- State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| |
Collapse
|
12
|
Zhang Y, Zhang R, Hong H, Wang S, Xie L, Cui L, Li J, Hong L, Li K, Zeng Q, Zhou Y, Zhang M, Sun J, Huang P. An Investigation of Cerebral Vascular Functional Properties in Middle-to-Old Age Community People With High Vascular Risk Profiles. J Magn Reson Imaging 2024. [PMID: 38329184 DOI: 10.1002/jmri.29278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 01/23/2024] [Accepted: 01/23/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Vascular degeneration is an important cause of brain damage in aging. Assessing the functional properties of the cerebral vascular system may aid early diagnosis and prevention. PURPOSE To investigate the relationships between potential vascular functional markers and vascular risks, brain parenchymal damage, and cognition. STUDY TYPE Retrospective. SUBJECTS Two hundred two general community subjects (42-80 years, males/females: 127/75). FIELD STRENGTH/SEQUENCE 3 T, spin echo T1W/T2W/FLAIR, resting-state functional MRI with an echo-planar sequence (rsfMRI), pseudo-continuous arterial spin labeling (pCASL) with a three-dimensional gradient-spin echo sequence. ASSESSMENT Cerebral blood flow (CBF) in gray matter calculated using pCASL, blood transit times calculated using rsfMRI, and the SD of internal carotid arteries signal (ICAstd ) calculated using rsfMRI; visual assessment for lacunes; quantification of white matter hyperintensity volume; permutation test for quality control; collection of demographic and clinical data, Montreal Cognitive Assessment, Mini-Mental State Examination. STATISTICAL TESTS Kolmogorov-Smirnov test; Spearman rank correlation analysis; Multivariable linear regression analysis controlling for covariates; The level of statistical significance was set at P < 0.05. RESULTS Age was negatively associated with ICAstd (β = -0.180). Diabetes was associated with longer blood transit time from large arteries to capillary bed (β = 0.185, adjusted for age, sex, and intracranial volume). Larger ICAstd was associated with less presence of lacunes (odds ratio: 0.418, adjusted for age and sex). Higher gray matter CBF (β = 0.154) and larger ICAstd (β = 0.136) were associated with better MoCA scores (adjusted for age, sex, and education). DATA CONCLUSION Prolonged blood transit time, decreased ICAstd , and diminished CBF were associated with vascular dysfunction and cognitive impairment. They may serve as vascular functional markers in future studies. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
Collapse
Affiliation(s)
- Yao Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Linyun Xie
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lei Cui
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jixuan Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Luwei Hong
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ying Zhou
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianzhong Sun
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| |
Collapse
|
13
|
Lan H, Lei X, Wang C, Wu Z, Liang C, Xu Z. Deep vein diameters and perivascular space scores are associated with deep medullary vein hypo-visibility in patients with white matter hyperintensity. Quant Imaging Med Surg 2024; 14:1417-1428. [PMID: 38415162 PMCID: PMC10895096 DOI: 10.21037/qims-23-426] [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: 03/31/2023] [Accepted: 11/14/2023] [Indexed: 02/29/2024]
Abstract
Background Deep medullary vein (DMV) hypo-visibility is correlated with white matter hyperintensity (WMH), but the underlying causes remain unclear. This study aimed to explore the relationship between deep vein diameters and perivascular space (PVS) scores, and DMV hypo-visibility in the presence of WMH. Methods This cross-sectional study prospectively analyzed the clinical and imaging data of 190 cerebral small vessel disease patients with WMH and 40 healthy controls from the Lishui Hospital of Traditional Chinese Medicine affiliated with Zhejiang Chinese Medical University. PVS scores ranging from 0 to 4 were determined according to the PVS counts in the basal ganglia area on T2-weighted magnetic resonance images; high-grade PVS was defined as a PVS score >1. The diameters of the deep cerebral veins, including the bilateral septal veins (SVs), thalamostriate veins (TSVs), lateral ventricular veins (LVVs), and internal cerebral veins, were measured using susceptibility weighted imaging (SWI). Left and right DMV scores, ranging from 0 to 9, were calculated based on the visibility of the DMV on SWI in the ipsilateral frontal, parietal, and occipital lobes. Results The deep cerebral vein diameters, left and right DMV scores, and high-grade PVS differed between the healthy controls and WMH patients (P<0.05). Left DMV scores were independently associated with age {β [95% confidence interval (CI)]: 0.050 (0.018, 0.082)}, high-grade PVS [β (95% CI): 0.998 (0.262, 1.737)], and the diameters of the ipsilateral SVs [β (95% CI): -1.114 (-1.754, -0.475)], SVs [β (95% CI): -0.734 (-1.191, -0.277)], and LVVs [β (95% CI): -0.921 (-1.567, -0.275)] [all false discovery rate (FDR)-corrected P<0.05]. Right DMV scores were independently associated with age [β (95% CI): 0.071 (0.037, 0.105)], high-grade PVS [β (95% CI): 0.873 (0.111, 1.635)], and the diameters of the ipsilateral SVs [β (95% CI): -0.837 (-1.386, -0.289)], TSVs [β (95% CI): -0.875 (-1.331, -0.419)], and LVVs [β (95% CI): -1.813 (-2.484, -1.142)] (all FDR-corrected P<0.05). Conclusions Decreased hypo-visibility of DMVs on SWI was associated with a higher age, the presence of high-grade PVS, and smaller diameters of the ipsilateral deep cerebral veins in individuals with WMH. Our findings provide novel insights into the probable mechanisms leading to high DMV scores.
Collapse
Affiliation(s)
- Haiyuan Lan
- Department of Radiology, Lishui Hospital of Traditional Chinese Medicine Affiliated with Zhejiang Chinese Medical University, Lishui, China
| | - Xinjun Lei
- Department of Radiology, Lishui Hospital of Traditional Chinese Medicine Affiliated with Zhejiang Chinese Medical University, Lishui, China
| | - Chaoping Wang
- Department of Radiology, Lishui Hospital of Traditional Chinese Medicine Affiliated with Zhejiang Chinese Medical University, Lishui, China
| | - Zehui Wu
- Department of Radiology, Lishui Hospital of Traditional Chinese Medicine Affiliated with Zhejiang Chinese Medical University, Lishui, China
| | - Chenjing Liang
- Department of Radiology, Lishui Hospital of Traditional Chinese Medicine Affiliated with Zhejiang Chinese Medical University, Lishui, China
| | - Zhihua Xu
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| |
Collapse
|
14
|
Delli Pizzi S, Gambi F, Di Pietro M, Caulo M, Sensi SL, Ferretti A. BOLD cardiorespiratory pulsatility in the brain: from noise to signal of interest. Front Hum Neurosci 2024; 17:1327276. [PMID: 38259340 PMCID: PMC10800549 DOI: 10.3389/fnhum.2023.1327276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 12/11/2023] [Indexed: 01/24/2024] Open
Abstract
Functional magnetic resonance imaging (fMRI) based on the Blood Oxygen Level Dependent (BOLD) contrast has been extensively used to map brain activity and connectivity in health and disease. Standard fMRI preprocessing includes different steps to remove confounds unrelated to neuronal activity. First, this narrative review explores how signal fluctuations due to cardiac and respiratory activity, usually considered as "physiological noise" and regressed out from fMRI time series. However, these signal components bear useful information about some mechanisms of brain functioning (e.g., glymphatic clearance) or cerebrovascular compliance in response to arterial pressure waves. Aging and chronic diseases can cause stiffening of the aorta and other main arteries, with a reduced dampening effect resulting in greater transmission of pressure impulses to the brain. Importantly, the continuous hammering of cardiac pulsations can produce local alterations of the mechanical properties of the small cerebral vessels, with a progressive deterioration that ultimately affects neuronal functionality. Second, the review emphasizes how fMRI can study the brain patterns most affected by cardiac pulsations in health and disease with high spatiotemporal resolution, offering the opportunity to identify much more specific risk markers than systemic factors based on measurements of the vascular compliance of large arteries or other global risk factors. In this regard, modern fast fMRI acquisition techniques allow a better characterization of these pulsatile signal components due to reduced aliasing effects, turning what has been traditionally considered as noise in a signal of interest that can be used to develop novel non-invasive biomarkers in different clinical contexts.
Collapse
Affiliation(s)
- Stefano Delli Pizzi
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, Chieti, Italy
| | - Francesco Gambi
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, Chieti, Italy
| | | | - Massimo Caulo
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), “G. d’Annunzio” University, Chieti, Italy
| | - Stefano L. Sensi
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), “G. d’Annunzio” University, Chieti, Italy
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), “G. d’Annunzio” University, Chieti, Italy
- UdA-TechLab, Research Center, University “G. d’Annunzio” of Chieti-Pescara, Chieti, Italy
| |
Collapse
|
15
|
Rowsthorn E, Pham W, Nazem-Zadeh MR, Law M, Pase MP, Harding IH. Imaging the neurovascular unit in health and neurodegeneration: a scoping review of interdependencies between MRI measures. Fluids Barriers CNS 2023; 20:97. [PMID: 38129925 PMCID: PMC10734164 DOI: 10.1186/s12987-023-00499-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/05/2023] [Indexed: 12/23/2023] Open
Abstract
The neurovascular unit (NVU) is a complex structure that facilitates nutrient delivery and metabolic waste clearance, forms the blood-brain barrier (BBB), and supports fluid homeostasis in the brain. The integrity of NVU subcomponents can be measured in vivo using magnetic resonance imaging (MRI), including quantification of enlarged perivascular spaces (ePVS), BBB permeability, cerebral perfusion and extracellular free water. The breakdown of NVU subparts is individually associated with aging, pathology, and cognition. However, how these subcomponents interact as a system, and how interdependencies are impacted by pathology remains unclear. This systematic scoping review identified 26 studies that investigated the inter-relationships between multiple subcomponents of the NVU in nonclinical and neurodegenerative populations using MRI. A further 112 studies investigated associations between the NVU and white matter hyperintensities (WMH). We identify two putative clusters of NVU interdependencies: a 'vascular' cluster comprising BBB permeability, perfusion and basal ganglia ePVS; and a 'fluid' cluster comprising ePVS, free water and WMH. Emerging evidence suggests that subcomponent coupling within these clusters may be differentially related to aging, neurovascular injury or neurodegenerative pathology.
Collapse
Affiliation(s)
- Ella Rowsthorn
- Department of Neuroscience, Central Clinical School, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Turner Institute for Brain and Mental Health & School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC, 3168, Australia
| | - William Pham
- Department of Neuroscience, Central Clinical School, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Mohammad-Reza Nazem-Zadeh
- Department of Neuroscience, Central Clinical School, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Meng Law
- Department of Neuroscience, Central Clinical School, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Radiology, Alfred Health, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Electrical and Computer Systems Engineering, Monash University, 14 Alliance Lane, Clayton, VIC, 3168, Australia
| | - Matthew P Pase
- Turner Institute for Brain and Mental Health & School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC, 3168, Australia
- Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Ian H Harding
- Department of Neuroscience, Central Clinical School, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
- Monash Biomedical Imaging, Monash University, 762-772 Blackburn Road, Clayton, VIC, 3168, Australia.
| |
Collapse
|
16
|
Hsu SL, Liao YC, Wu CH, Chang FC, Chen YL, Lai KL, Chung CP, Chen SP, Lee YC. Impaired cerebral interstitial fluid dynamics in cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy. Brain Commun 2023; 6:fcad349. [PMID: 38162905 PMCID: PMC10757449 DOI: 10.1093/braincomms/fcad349] [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: 08/30/2023] [Revised: 10/19/2023] [Accepted: 12/18/2023] [Indexed: 01/03/2024] Open
Abstract
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy, caused by cysteine-altering variants in NOTCH3, is the most prevalent inherited cerebral small vessel disease. Impaired cerebral interstitial fluid dynamics has been proposed as one of the potential culprits of neurodegeneration and may play a critical role in the initiation and progression of cerebral small vessel disease. In the present study, we aimed to explore the cerebral interstitial fluid dynamics in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy and to evaluate its association with clinical features, imaging biomarkers and disease severity of cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy. Eighty-one participants carrying a cysteine-altering variant in NOTCH3, including 44 symptomatic cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy patients and 37 preclinical carriers, and 21 age- and sex-matched healthy control individuals were recruited. All participants underwent brain MRI studies and neuropsychological evaluations. Cerebral interstitial fluid dynamics was investigated by using the non-invasive diffusion tensor image analysis along the perivascular space method. We found that cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy patients exhibited significantly lower values of diffusion tensor image analysis along the perivascular space index comparing to preclinical carriers and healthy controls. For the 81 subjects carrying NOTCH3 variants, older age and presence of hypertension were independently associated with decreased diffusion tensor image analysis along the perivascular space index. The degree of cerebral interstitial fluid dynamics was strongly related to the severity of cerebral small vessel disease imaging markers, with a positive correlation between diffusion tensor image analysis along the perivascular space index and brain parenchymal fraction and negative correlations between diffusion tensor image analysis along the perivascular space index and total volume of white matter hyperintensity, peak width of skeletonized mean diffusivity, lacune numbers and cerebral microbleed counts. In addition, diffusion tensor image analysis along the perivascular space index was a significant risk factor associated with the development of clinical symptoms of stroke or cognitive dysfunction in individuals carrying NOTCH3 variants. In cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy patients, diffusion tensor image analysis along the perivascular space index was significantly associated with Mini-Mental State Examination scores. Mediation analysis showed that compromised cerebral interstitial fluid dynamics was not only directly associated with cognitive dysfunction but also had an indirect effect on cognition by influencing brain atrophy, white matter disruption, lacunar lesions and cerebral microbleeds. In conclusion, cerebral interstitial fluid dynamics is impaired in cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy and its disruption may play an important role in the pathogenesis of cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy. Diffusion tensor image analysis along the perivascular space index may serve as a biomarker of disease severity for cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy.
Collapse
Affiliation(s)
- Shao-Lun Hsu
- Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Department of Neurology, National Yang Ming Chiao Tung University School of Medicine, Taipei 11221, Taiwan
| | - Yi-Chu Liao
- Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Department of Neurology, National Yang Ming Chiao Tung University School of Medicine, Taipei 11221, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Chia-Hung Wu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Feng-Chi Chang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Yung-Lin Chen
- Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Kuan-Lin Lai
- Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Department of Neurology, National Yang Ming Chiao Tung University School of Medicine, Taipei 11221, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Chih-Ping Chung
- Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Department of Neurology, National Yang Ming Chiao Tung University School of Medicine, Taipei 11221, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Shih-Pin Chen
- Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Department of Neurology, National Yang Ming Chiao Tung University School of Medicine, Taipei 11221, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Division of Translational Research, Department of Medical, Neurological Institute, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Yi-Chung Lee
- Department of Neurology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Department of Neurology, National Yang Ming Chiao Tung University School of Medicine, Taipei 11221, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
| |
Collapse
|
17
|
Huang H, Hsu P, Tsai S, Chuang Y, Chen D, Xu G, Chen C, Kuo Y, Huang C. High-Spatiotemporal-Resolution Ultrasound Flow Imaging to Determine Cerebrovascular Hemodynamics in Alzheimer's Disease Mice Model. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2302345. [PMID: 37964413 PMCID: PMC10724386 DOI: 10.1002/advs.202302345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/28/2023] [Indexed: 11/16/2023]
Abstract
Although the relationships of cerebrovascular hemodynamic dysfunction with neurodegenerative diseases remain unclear, many studies have indicated that poor cerebral perfusion accelerates the progression of neurodegenerative diseases, such as Alzheimer's disease (AD). Small animal models are widely used in AD research. However, providing an imaging modality with a high spatiotemporal resolution and sufficiently large field of view to assess cerebrovascular hemodynamics in vivo remains a challenge. The present study proposes a novel technique for high-spatiotemporal-resolution vector micro-Doppler imaging (HVμDI) based on contrast-free ultrafast high frequency ultrasound imaging to visualize the cerebrovascular hemodynamics of the mouse, with a data acquisition time of 0.4 s, a minimal detectable vessel size of 38 µm, and a temporal resolution of 500 Hz. In vivo experiments are conducted on wild-type and AD mice. Cerebrovascular hemodynamics are quantified using the cerebral vascular density, diameter, velocity, tortuosity, cortical flow pulsatility, and instant flow direction variations. Results reveal that AD significantly change the cerebrovascular hemodynamics. HVμDI offers new opportunities for in vivo analysis of cerebrovascular hemodynamics in neurodegenerative pathologies in preclinical animal research.
Collapse
Affiliation(s)
- Hsin Huang
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - Pei‐Ling Hsu
- Department of AnatomySchool of MedicineCollege of MedicineKaohsiung Medical UniversityKaohsiung80708Taiwan
- Department of Medical ResearchKaohsiung Medical University HospitalKaohsiung80708Taiwan
- Drug Development and Value Creation Research CenterKaohsiung Medical UniversityKaohsiung80708Taiwan
| | - Sheng‐Feng Tsai
- Department of Cell Biology and AnatomyCollege of MedicineNational Cheng Kung UniversityTainan70101Taiwan
- Institute of Basic Medical SciencesCollege of MedicineNational Cheng Kung UniversityTainan70101Taiwan
| | - Yi‐Hsiang Chuang
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - De‐Quan Chen
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - Guo‐Xuan Xu
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - Chien Chen
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
| | - Yu‐Min Kuo
- Department of Cell Biology and AnatomyCollege of MedicineNational Cheng Kung UniversityTainan70101Taiwan
- Institute of Basic Medical SciencesCollege of MedicineNational Cheng Kung UniversityTainan70101Taiwan
| | - Chih‐Chung Huang
- Department of Biomedical EngineeringNational Cheng Kung UniversityTainan70101Taiwan
- Medical Device Innovation CenterNational Cheng Kung UniversityTainan70101Taiwan
| |
Collapse
|
18
|
Sleight E, Stringer MS, Clancy U, Arteaga C, Jaime Garcia D, Hewins W, Jochems AC, Hamilton OK, Manning C, Morgan AG, Locherty R, Cheng Y, Liu X, Zhang J, Hamilton I, Jardine C, Brown R, Sakka E, Kampaite A, Wiseman S, Valdés-Hernández MC, Chappell FM, Doubal FN, Marshall I, Thrippleton MJ, Wardlaw JM. Cerebrovascular Reactivity in Patients With Small Vessel Disease: A Cross-Sectional Study. Stroke 2023; 54:2776-2784. [PMID: 37814956 PMCID: PMC10589433 DOI: 10.1161/strokeaha.123.042656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 09/06/2023] [Accepted: 09/19/2023] [Indexed: 10/11/2023]
Abstract
BACKGROUND Cerebrovascular reactivity (CVR) is inversely related to white matter hyperintensity severity, a marker of cerebral small vessel disease (SVD). Less is known about the relationship between CVR and other SVD imaging features or cognition. We aimed to investigate these cross-sectional relationships. METHODS Between 2018 and 2021 in Edinburgh, we recruited patients presenting with lacunar or cortical ischemic stroke, whom we characterized for SVD features. We measured CVR in subcortical gray matter, normal-appearing white matter, and white matter hyperintensity using 3T magnetic resonance imaging. We assessed cognition using Montreal Cognitive Assessment. Statistical analyses included linear regression models with CVR as outcome, adjusted for age, sex, and vascular risk factors. We reported regression coefficients with 95% CIs. RESULTS Of 208 patients, 182 had processable CVR data sets (median age, 68.2 years; 68% men). Although the strength of association depended on tissue type, lower CVR in normal-appearing tissues and white matter hyperintensity was associated with larger white matter hyperintensity volume (BNAWM=-0.0073 [95% CI, -0.0133 to -0.0014] %/mm Hg per 10-fold increase in percentage intracranial volume), more lacunes (BNAWM=-0.00129 [95% CI, -0.00215 to -0.00043] %/mm Hg per lacune), more microbleeds (BNAWM=-0.00083 [95% CI, -0.00130 to -0.00036] %/mm Hg per microbleed), higher deep atrophy score (BNAWM=-0.00218 [95% CI, -0.00417 to -0.00020] %/mm Hg per score point increase), higher perivascular space score (BNAWM=-0.0034 [95% CI, -0.0066 to -0.0002] %/mm Hg per score point increase in basal ganglia), and higher SVD score (BNAWM=-0.0048 [95% CI, -0.0075 to -0.0021] %/mm Hg per score point increase). Lower CVR in normal-appearing tissues was related to lower Montreal Cognitive Assessment without reaching convention statistical significance (BNAWM=0.00065 [95% CI, -0.00007 to 0.00137] %/mm Hg per score point increase). CONCLUSIONS Lower CVR in patients with SVD was related to more severe SVD burden and worse cognition in this cross-sectional analysis. Longitudinal analysis will help determine whether lower CVR predicts worsening SVD severity or vice versa. REGISTRATION URL: https://www.isrctn.com; Unique identifier: ISRCTN12113543.
Collapse
Affiliation(s)
- Emilie Sleight
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Michael S. Stringer
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Una Clancy
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Carmen Arteaga
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Daniela Jaime Garcia
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Will Hewins
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Angela C.C. Jochems
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Olivia K.L. Hamilton
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Cameron Manning
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Alasdair G. Morgan
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Rachel Locherty
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Yajun Cheng
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- Department of Neurology, West China Hospital of Sichuan University, Chengdu (Y.C.)
| | - Xiaodi Liu
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- Department of Medicine, University of Hong Kong (X.L.)
| | - Junfang Zhang
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, China (J.Z.)
| | - Iona Hamilton
- Edinburgh Imaging Facility RIE (I.H., C.J., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Charlotte Jardine
- Edinburgh Imaging Facility RIE (I.H., C.J., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Rosalind Brown
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Eleni Sakka
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Agniete Kampaite
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Stewart Wiseman
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Maria C. Valdés-Hernández
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Francesca M. Chappell
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Fergus N. Doubal
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Ian Marshall
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Michael J. Thrippleton
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- Edinburgh Imaging Facility RIE (I.H., C.J., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- UK Dementia Research Institute (E. Sleight, M.S.S., U.C., C.A., D.J.G., W.H., A.C.C.J., O.K.L.H., C.M., A.G.M., R.L., Y.C., X.L., J.Z., R.B., E. Sakka, A.K., S.W., M.C.V.-H., F.M.C., F.N.D., I.M., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
- Edinburgh Imaging Facility RIE (I.H., C.J., M.J.T., J.M.W.), University of Edinburgh, United Kingdom
| |
Collapse
|
19
|
Zhong J, Lin W, Chen J, Gao Q. Higher critical closing pressure is independently associated with enlarged basal ganglia perivascular spaces. Front Neurol 2023; 14:1165469. [PMID: 37920831 PMCID: PMC10619908 DOI: 10.3389/fneur.2023.1165469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 09/18/2023] [Indexed: 11/04/2023] Open
Abstract
Objective This study aimed to explore the association between cerebral hemodynamic parameters focused on the critical closing pressure (CCP) and enlarged perivascular spaces (EPVS). Methods Cerebral blood velocity in the middle cerebral artery (MCAv) and non-invasive continuous blood pressure (NIBP) were measured using a transcranial Doppler (TCD) and Finometer, followed by the calculation of cerebral hemodynamic parameters including CCP, resistance area product (RAP), pulsatility index (PI), and pulse pressure (PP). EPVS were graded separately in the basal ganglia (BG) and centrum semiovale (CSO), using a visual semiquantitative ordinal scale. Patients with EPVS >10 were classified into the severe BG-EPVS group and severe CSO-EPVS group, and the remainder into the mild BG-EPVS group and the mild CSO-EPVS group. Spearman's correlation and binary logistic regression analysis were performed to analyze the relationship between hemodynamic parameters and BG-EPVS and CSO-EPVS, respectively. Results Overall, 107 patients were enrolled. The severe BG-EPVS group had higher CCP, mean arterial blood pressure (MABP), systolic blood pressure (SBP), and diastolic blood pressure (DBP) than that in the mild BG-EPVS group (p < 0.05). There was no statistical difference in hemodynamic parameters between the severe CSO-EPVS group and the mild CSO-EPVS group. Spearman's correlation analysis showed that CCP was positively associated with BG-EPVS (rho = 0.331, p < 0.001) and CSO-EPVS (rho = 0.154, p = 0.044). The binary logistic regression analysis showed that CCP was independently associated with severe BG-EPVS (p < 0.05) and not with CSO-EPVS (p > 0.05) after adjusting for confounders. Conclusion CCP representing cerebrovascular tension was independently associated with BG-EPVS.
Collapse
Affiliation(s)
| | | | | | - Qingchun Gao
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
20
|
Du H, Zheng J, Li X, Dong Y, Cheng Y, Liu C, Hu J, Chen X. The correlation between medial pattern of intracranial arterial calcification and white matter hyperintensities. Atherosclerosis 2023; 381:117247. [PMID: 37634296 DOI: 10.1016/j.atherosclerosis.2023.117247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/17/2023] [Accepted: 08/18/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND AND AIMS Despite reported correlations between intracranial arterial calcification (IAC) and white matter hyperintensities (WMH), little is known about the relationship between IAC pattern and WMH. By differentiating intimal and medial IAC, we aimed to investigate the relationship between IAC pattern and WMH. METHODS Consecutive acute stroke patients were included. IAC pattern was categorized as intimal or medial on plain brain CT. The number of cerebral arteries involved by IAC for each patient was recorded. IAC severity was defined as focal or diffuse. On brain MRI, the burden of WMH was visually graded and classified as absent mild, moderate and severe. Multiple logistic regression was performed to examine the relationship between IAC and WMH. RESULTS Among 265 patients, intimal IAC was detected in 54.7% patients and medial IAC in 48.5% patients. Diffuse IAC was present in 27.9% patients, all of which were medial. WMH was found in 75.5% patients, including 39.6% patients with mild WMH, 26.0% with moderate WMH, and 9.8% with severe WMH. The severity of medial IAC was correlated with WMH occurrence (p < 0.001). Chi-square linear trend suggested the number of arteries involved by medial IAC (p < 0.001) and the severity of medial IAC (p < 0.001) were correlated with WMH burden. Multiple ordinal logistic regression demonstrated a positive correlation of WMH burden with the number of arteries involved by medial IAC (p < 0.001) and the severity of medial IAC (p < 0.001). CONCLUSIONS Medial IAC was correlated with WMH. The dose-effect relationship between medial IAC and WMH suggests underlying shared mechanisms of intracranial large artery disease and small vessel disease.
Collapse
Affiliation(s)
- Heng Du
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region of China
| | - Jianrong Zheng
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Xuelong Li
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region of China
| | - Yanjing Dong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region of China
| | - Yajing Cheng
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Cong Liu
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Jun Hu
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
| | - Xiangyan Chen
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region of China.
| |
Collapse
|
21
|
Koemans EA, Chhatwal JP, van Veluw SJ, van Etten ES, van Osch MJP, van Walderveen MAA, Sohrabi HR, Kozberg MG, Shirzadi Z, Terwindt GM, van Buchem MA, Smith EE, Werring DJ, Martins RN, Wermer MJH, Greenberg SM. Progression of cerebral amyloid angiopathy: a pathophysiological framework. Lancet Neurol 2023; 22:632-642. [PMID: 37236210 DOI: 10.1016/s1474-4422(23)00114-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 02/21/2023] [Accepted: 03/14/2023] [Indexed: 05/28/2023]
Abstract
Cerebral amyloid angiopathy, which is defined by cerebrovascular deposition of amyloid β, is a common age-related small vessel pathology associated with intracerebral haemorrhage and cognitive impairment. Based on complementary lines of evidence from in vivo studies of individuals with hereditary, sporadic, and iatrogenic forms of cerebral amyloid angiopathy, histopathological analyses of affected brains, and experimental studies in transgenic mouse models, we present a framework and timeline for the progression of cerebral amyloid angiopathy from subclinical pathology to the clinical manifestation of the disease. Key stages that appear to evolve sequentially over two to three decades are (stage one) initial vascular amyloid deposition, (stage two) alteration of cerebrovascular physiology, (stage three) non-haemorrhagic brain injury, and (stage four) appearance of haemorrhagic brain lesions. This timeline of stages and the mechanistic processes that link them have substantial implications for identifying disease-modifying interventions for cerebral amyloid angiopathy and potentially for other cerebral small vessel diseases.
Collapse
Affiliation(s)
- Emma A Koemans
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Jasmeer P Chhatwal
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Susanne J van Veluw
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Ellis S van Etten
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Matthias J P van Osch
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Hamid R Sohrabi
- Centre for Healthy Ageing, Health Future Institute, Murdoch University, Perth, WA, Australia; Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Mariel G Kozberg
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Zahra Shirzadi
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Gisela M Terwindt
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Mark A van Buchem
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK; National Hospital for Neurology and Neurosurgery, London, UK
| | - Ralph N Martins
- Centre for Healthy Ageing, Health Future Institute, Murdoch University, Perth, WA, Australia; Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia; School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Marieke J H Wermer
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Steven M Greenberg
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
| |
Collapse
|
22
|
He Y, Li Z, Shi X, Ding J, Wang X. Roles of NG2 Glia in Cerebral Small Vessel Disease. Neurosci Bull 2023; 39:519-530. [PMID: 36401147 PMCID: PMC10043141 DOI: 10.1007/s12264-022-00976-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 09/02/2022] [Indexed: 11/19/2022] Open
Abstract
Cerebral small vessel disease (CSVD) is one of the most prevalent pathologic processes affecting 5% of people over 50 years of age and contributing to 45% of dementia cases. Increasing evidence has demonstrated the pathological roles of chronic hypoperfusion, impaired cerebral vascular reactivity, and leakage of the blood-brain barrier in CSVD. However, the pathogenesis of CSVD remains elusive thus far, and no radical treatment has been developed. NG2 glia, also known as oligodendrocyte precursor cells, are the fourth type of glial cell in addition to astrocytes, microglia, and oligodendrocytes in the mammalian central nervous system. Many novel functions for NG2 glia in physiological and pathological states have recently been revealed. In this review, we discuss the role of NG2 glia in CSVD and the underlying mechanisms.
Collapse
Affiliation(s)
- Yixi He
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Zhenghao Li
- Institute of Neuroscience, MOE Key Laboratory of Molecular Neurobiology, NMU, Shanghai, 200433, China
| | - Xiaoyu Shi
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Jing Ding
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China.
| | - Xin Wang
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China.
| |
Collapse
|
23
|
Reiländer A, Pilatus U, Schüre JR, Shrestha M, Deichmann R, Nöth U, Hattingen E, Gracien RM, Wagner M, Seiler A. Impaired oxygen extraction and adaptation of intracellular energy metabolism in cerebral small vessel disease. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 4:100162. [PMID: 36851996 PMCID: PMC9957754 DOI: 10.1016/j.cccb.2023.100162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/25/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND We aimed to investigate whether combined phosphorous (31P) magnetic resonance spectroscopic imaging (MRSI) and quantitative T 2 ' mapping are able to detect alterations of the cerebral oxygen extraction fraction (OEF) and intracellular pH (pHi) as markers the of cellular energy metabolism in cerebral small vessel disease (SVD). MATERIALS AND METHODS 32 patients with SVD and 17 age-matched healthy control subjects were examined with 3-dimensional 31P MRSI and oxygenation-sensitive quantitative T 2 ' mapping (1/ T 2 ' = 1/T2* - 1/T2) at 3 Tesla (T). PHi was measured within the white matter hyperintensities (WMH) in SVD patients. Quantitative T 2 ' values were averaged across the entire white matter (WM). Furthermore, T 2 ' values were extracted from normal-appearing WM (NAWM) and the WMH and compared between patients and controls. RESULTS Quantitative T 2 ' values were significantly increased across the entire WM and in the NAWM in patients compared to control subjects (149.51 ± 16.94 vs. 138.19 ± 12.66 ms and 147.45 ± 18.14 vs. 137.99 ± 12.19 ms, p < 0.05). WM T 2 ' values correlated significantly with the WMH load (ρ=0.441, p = 0.006). Increased T 2 ' was significantly associated with more alkaline pHi (ρ=0.299, p < 0.05). Both T 2 ' and pHi were significantly positively correlated with vascular pulsatility in the distal carotid arteries (ρ=0.596, p = 0.001 and ρ=0.452, p = 0.016). CONCLUSIONS This exploratory study found evidence of impaired cerebral OEF in SVD, which is associated with intracellular alkalosis as an adaptive mechanism. The employed techniques provide new insights into the pathophysiology of SVD with regard to disease-related consequences on the cellular metabolic state.
Collapse
Key Words
- BBB, blood-brain barrier
- CBF, cerebral blood flow
- CBV, cerebral blood volume
- CMRO2, Cerebral metabolic rate of oxygen
- Cellular energy metabolism
- DTI, diffusion tensor imaging
- GE, gradient echo
- Hb, hemoglobin
- ICA, internal carotid artery
- MR spectroscopy
- MRI, magnetic resonance imaging
- MRS, magnetic resonance spectroscopy
- MRSI, magnetic resonance spectroscopic imaging
- Microstructural impairment
- NAWM, normal-appearing white matter
- OEF, oxygen extraction fraction
- Oxygen extraction fraction
- PI, Pulsatility index
- RF, radio frequency
- SVD, cerebral small vessel disease
- Small vessel disease
- TR, repetition time
- WM, white matter
- WMH, white matter hyperintensities
- pHi, intracellular pH
- quantitative MRI
Collapse
Affiliation(s)
- Annemarie Reiländer
- Department of Neurology, Goethe University Hospital Frankfurt, Schleusenweg 2-16, Frankfurt 60528, Germany
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Ulrich Pilatus
- Institute of Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Jan-Rüdiger Schüre
- Institute of Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Manoj Shrestha
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Ralf Deichmann
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Ulrike Nöth
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Elke Hattingen
- Institute of Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - René-Maxime Gracien
- Department of Neurology, Goethe University Hospital Frankfurt, Schleusenweg 2-16, Frankfurt 60528, Germany
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Marlies Wagner
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
- Institute of Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Alexander Seiler
- Department of Neurology, Goethe University Hospital Frankfurt, Schleusenweg 2-16, Frankfurt 60528, Germany
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| |
Collapse
|
24
|
Wiseman SJ, Zhang JF, Gray C, Hamid C, Valdés Hernández MDC, Ballerini L, Thrippleton MJ, Manning C, Stringer M, Sleight E, Muñoz Maniega S, Morgan A, Cheng Y, Arteaga C, Jaime Garcia D, Clancy U, Doubal FN, Dhillon B, MacGillivray T, Wu YC, Wardlaw JM. Retinal capillary microvessel morphology changes are associated with vascular damage and dysfunction in cerebral small vessel disease. J Cereb Blood Flow Metab 2023; 43:231-240. [PMID: 36300327 PMCID: PMC9903216 DOI: 10.1177/0271678x221135658] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 01/24/2023]
Abstract
Cerebral small vessel disease (SVD) is a cause of stroke and dementia. Retinal capillary microvessels revealed by optical coherence tomography angiography (OCTA) are developmentally related to brain microvessels. We quantified retinal vessel density (VD) and branching complexity, investigating relationships with SVD lesions, white matter integrity on diffusion tensor imaging (DTI) and cerebrovascular reactivity (CVR) to CO2 in patients with minor stroke. We enrolled 123 patients (mean age 68.1 ± SD 9.9 years), 115 contributed retinal data. Right (R) and left (L) eyes are reported. After adjusting for age, eye disease, diabetes, blood pressure and image quality, lower VD remained associated with higher mean diffusivity (MD) (standardized β; R -0.16 [95%CI -0.32 to -0.01]) and lower CVR (L 0.17 [0.03 to 0.31] and R 0.19 [0.02 to 0.36]) in normal appearing white matter (NAWM). Sparser branching remained associated with sub-visible white matter damage shown by higher MD (R -0.24 [-0.08 to -0.40]), lower fractional anisotropy (FA) (L 0.17 [0.01 to 0.33]), and lower CVR (R 0.20 [0.02 to 0.38]) in NAWM. OCTA-derived metrics provide evidence of microvessel abnormalities that may underpin SVD lesions in the brain.
Collapse
Affiliation(s)
- Stewart J Wiseman
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Jun-Fang Zhang
- Department of Neurology, Shanghai General Hospital, Shanghai
Jiao Tong University School of Medicine, Shanghai, China
| | - Calum Gray
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Charlene Hamid
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Maria del C Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
| | - Lucia Ballerini
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Cameron Manning
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Michael Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Emilie Sleight
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
| | | | - Alasdair Morgan
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Yajun Cheng
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- Department of Neurology, West China Hospital, Sichuan
University, Chengdu, China
| | - Carmen Arteaga
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Dany Jaime Garcia
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Una Clancy
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Baljean Dhillon
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- NHS Lothian Princess Alexandra Eye Pavilion, UK
| | - Tom MacGillivray
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Yun-Cheng Wu
- Department of Neurology, Shanghai General Hospital, Shanghai
Jiao Tong University School of Medicine, Shanghai, China
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| |
Collapse
|
25
|
van den Kerkhof M, van der Thiel MM, van Oostenbrugge RJ, Postma AA, Kroon AA, Backes WH, Jansen JF. Impaired damping of cerebral blood flow velocity pulsatility is associated with the number of perivascular spaces as measured with 7T MRI. J Cereb Blood Flow Metab 2023; 43:937-946. [PMID: 36704826 DOI: 10.1177/0271678x231153374] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Arterial walls stiffen with age, cardiovascular risk factors, and various vascular diseases, which may lead to less damping of the arterial blood flow pulse, subsequent microvascular damage, and enlarged perivascular spaces (PVS). However, the exact interplay between these processes is unclear. This study aimed to investigate the relation between blood flow velocity pulsatility in the small lenticulostriate arteries and their supplying middle cerebral artery and the respective damping factor (DF), with the number of MRI-visible PVS in elderly subjects. Blood flow velocity waveforms were obtained in 45 subjects (median age [range]: 64 [48-81] years, 47% male) using 7T MRI. PVS were scored in the basal ganglia (BG) and centrum semiovale (CSO). Spearman correlation analyses were used to determine associations of the blood flow pulsatility and the DF, with PVS score, adjusted for age and sex. We found a significant association between a lower DF and a higher number of PVS in the BG (rs = -0.352, P = 0.021), but not in the CSO. This finding supports the supposed pathophysiological mechanism in which excessive kinetic energy deposition leads to damage of small perforating arteries and contributes to the enlargement of PVS at the level of the BG, but possible other pathways might also be of influence.
Collapse
Affiliation(s)
- Marieke van den Kerkhof
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Merel M van der Thiel
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.,Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Robert J van Oostenbrugge
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands.,Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Alida A Postma
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Abraham A Kroon
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.,Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Walter H Backes
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.,Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Jacobus Fa Jansen
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| |
Collapse
|
26
|
Bickel MA, Csik B, Gulej R, Ungvari A, Nyul-Toth A, Conley SM. Cell non-autonomous regulation of cerebrovascular aging processes by the somatotropic axis. Front Endocrinol (Lausanne) 2023; 14:1087053. [PMID: 36755922 PMCID: PMC9900125 DOI: 10.3389/fendo.2023.1087053] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/04/2023] [Indexed: 01/24/2023] Open
Abstract
Age-related cerebrovascular pathologies, ranging from cerebromicrovascular functional and structural alterations to large vessel atherosclerosis, promote the genesis of vascular cognitive impairment and dementia (VCID) and exacerbate Alzheimer's disease. Recent advances in geroscience, including results from studies on heterochronic parabiosis models, reinforce the hypothesis that cell non-autonomous mechanisms play a key role in regulating cerebrovascular aging processes. Growth hormone (GH) and insulin-like growth factor 1 (IGF-1) exert multifaceted vasoprotective effects and production of both hormones is significantly reduced in aging. This brief overview focuses on the role of age-related GH/IGF-1 deficiency in the development of cerebrovascular pathologies and VCID. It explores the mechanistic links among alterations in the somatotropic axis, specific macrovascular and microvascular pathologies (including capillary rarefaction, microhemorrhages, impaired endothelial regulation of cerebral blood flow, disruption of the blood brain barrier, decreased neurovascular coupling, and atherogenesis) and cognitive impairment. Improved understanding of cell non-autonomous mechanisms of vascular aging is crucial to identify targets for intervention to promote cerebrovascular and brain health in older adults.
Collapse
Affiliation(s)
- Marisa A. Bickel
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Boglarka Csik
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Rafal Gulej
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Anna Ungvari
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- International Training Program in Geroscience, Department of Public Health, Semmelweis University, Budapest, Hungary
| | - Adam Nyul-Toth
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- International Training Program in Geroscience, Department of Public Health, Semmelweis University, Budapest, Hungary
- Institute of Biophysics, Biological Research Centre, Eötvös Lorand Research Network (ELKH), Szeged, Hungary
| | - Shannon M. Conley
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| |
Collapse
|
27
|
A hybrid hierarchical strategy for registration of 7T TOF-MRI to 7T PC-MRI intracranial vessel data. Int J Comput Assist Radiol Surg 2023; 18:837-844. [PMID: 36662415 PMCID: PMC10113302 DOI: 10.1007/s11548-023-02836-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 01/09/2023] [Indexed: 01/21/2023]
Abstract
PURPOSE 7T time-of-flight (TOF) MRI provides high resolution for the evaluation of cerebrovascular vessels and pathologies. In combination with 4D flow fields acquired with phase-contrast (PC) MRI, hemodynamic information can be extracted to enhance the analysis by providing direct measurements in the larger arteries or patient-specific boundary conditions. Hence, a registration between both modalities is required. METHODS To combine TOF and PC-MRI data, we developed a hybrid registration approach. Vessels and their centerlines are segmented from the TOF data. The centerline is fit to the intensity ridges of the lower resolved PC-MRI data, which provides temporal information. We used a metric that utilizes a scaled sum of weighted intensities and gradients on the normal plane. The registration is then guided by decoupled local affine transformations. It is applied hierarchically following the branching order of the vessel tree. RESULTS A landmark validation over Monte Carlo simulations yielded an average mean squared error of 184.73 mm and an average Hausdorff distance of 15.20 mm. The hierarchical traversal that transforms child vessels with their parents registers even small vessels not detectable in the PC-MRI. CONCLUSION The presented work combines high-resolution tomographic information from 7T TOF-MRI and measured flow data from 4D 7T PC-MRI scan for the arteries of the brain. This enables usage of patient-specific flow parameters for realistic simulations, thus supporting research in areas such as cerebral small vessel disease. Automatization and free deformations can help address the limiting error measures in the future.
Collapse
|
28
|
van Dinther M, Bennett J, Thornton GD, Voorter PH, Ezponda Casajús A, Hughes A, Captur G, Holtackers RJ, Staals J, Backes WH, Bastarika G, Jones EA, González A, van Oostenbrugge RJ, Treibel TA. Evaluation of Microvascular Rarefaction in Vascular Cognitive Impairment and Heart Failure (CRUCIAL): Study Protocol for an Observational Study. Cerebrovasc Dis Extra 2023; 13:18-32. [PMID: 36646051 PMCID: PMC9939919 DOI: 10.1159/000529067] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/29/2022] [Indexed: 01/18/2023] Open
Abstract
INTRODUCTION Microvascular rarefaction, the functional reduction in perfused microvessels and structural reduction of microvascular density, seems to be an important mechanism in the pathophysiology of small blood vessel-related disorders including vascular cognitive impairment (VCI) due to cerebral small vessel disease and heart failure with preserved ejection fraction (HFpEF). Both diseases share common risk factors including hypertension, diabetes mellitus, obesity, and ageing; in turn, these comorbidities are associated with microvascular rarefaction. Our consortium aims to investigate novel non-invasive tools to quantify microvascular health and rarefaction in both organs, as well as surrogate biomarkers for cerebral and/or cardiac rarefaction (via sublingual capillary health, vascular density of the retina, and RNA content of circulating extracellular vesicles), and to determine whether microvascular density relates to disease severity. METHODS The clinical research program of CRUCIAL consists of four observational cohort studies. We aim to recruit 75 VCI patients, 60 HFpEF patients, 60 patients with severe aortic stenosis (AS) undergoing surgical aortic valve replacement as a pressure overload HFpEF model, and 200 elderly participants with mixed comorbidities to serve as controls. Data collected will include medical history, physical examination, cognitive testing, advanced brain and cardiac MRI, ECG, echocardiography, sublingual capillary health, optical coherence tomography angiography (OCTa), extracellular vesicles RNA analysis, and myocardial remodelling-related serum biomarkers. The AS cohort undergoing surgery will also have myocardial biopsy for histological microvascular assessment. DISCUSSION CRUCIAL will examine the pathophysiological role of microvascular rarefaction in VCI and HFpEF using advanced brain and cardiac MRI techniques. Furthermore, we will investigate surrogate biomarkers for non-invasive, faster, easier, and cheaper assessment of microvascular density since these are more likely to be disseminated into widespread clinical practice. If microvascular rarefaction is an early marker of developing small vessel diseases, then measuring rarefaction may allow preclinical diagnosis, with implications for screening, risk stratification, and prevention. Further knowledge of the relevance of microvascular rarefaction and its underlying mechanisms may provide new avenues for research and therapeutic targets.
Collapse
Affiliation(s)
- Maud van Dinther
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jonathan Bennett
- Institute of Cardiovascular Science, University College London, London, UK
| | - George D. Thornton
- Institute of Cardiovascular Science, University College London, London, UK
| | - Paulien H.M. Voorter
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Alun Hughes
- Institute of Cardiovascular Science, University College London, London, UK
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Gabriella Captur
- Institute of Cardiovascular Science, University College London, London, UK
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Robert J. Holtackers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - CRUCIAL Consortium Clinical Members
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
- Institute of Cardiovascular Science, University College London, London, UK
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, UK
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
- Program of Cardiovascular Diseases, CIMA, Universidad de Navarra and IdiSNA, Pamplona, Spain
- CIBERCV, Carlos III Institute of Health, Madrid, Spain
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Walter H. Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Gorka Bastarika
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | | | - Arantxa González
- Program of Cardiovascular Diseases, CIMA, Universidad de Navarra and IdiSNA, Pamplona, Spain
- CIBERCV, Carlos III Institute of Health, Madrid, Spain
| | - Robert J. van Oostenbrugge
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | | |
Collapse
|
29
|
Hamdy S, Fathy M, Elnasser AA, Darwish EAF, Hamid E, Aref H, El Nahas N. Vasomotor reactivity in patients with cerebral small vessel disease vs. internal border zone infarction and its correlation with disease outcome. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2022. [DOI: 10.1186/s41983-022-00537-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Available data collected from patients of different types of cerebrovascular strokes can detect risk factors, severity and clinical outcome of these patients. Differentiating between different types of strokes is mandatory for early diagnosis and proper management. The aim of this study is to compare between cerebral small vessel disease with lacunar infarctions and internal border zone infarctions regarding vasomotor reactivity by using transcranial color-coded duplex and its correlation with their MRI perfusion, disease severity and outcome.
Results
On admission, 56.7% of patients in lacunar stroke had impaired reactivity vs. 100% of patients in internal border zone group. At 3 months follow-up, this number dropped to 23.3% in lacunar group, but persisted as 100% in internal border zone group. On comparing the 3 perfusion parameters between the 2 groups, there was statistically significant impairment in all parameters in patients with internal border zone infarction than patients with lacunar infarction (longer time to peak, decreased cerebral blood flow and cerebral blood volume). By comparing the severity of the stroke by using National Institute of Health and Stroke Scale, it was found that patients with internal border zone infarction had higher disability than patients with lacunar infarction on admission and on discharge. At 3 months follow-up, the lacunar group had a better outcome than of the border zone group.
Conclusion
Patients having internal border zone infarction had higher clinical disability and worse prognosis, together with more impairment in vasomotor reactivity and MRI perfusion parameters than patients having lacunar infarction.
Collapse
|
30
|
The Underlying Role of the Glymphatic System and Meningeal Lymphatic Vessels in Cerebral Small Vessel Disease. Biomolecules 2022; 12:biom12060748. [PMID: 35740873 PMCID: PMC9221030 DOI: 10.3390/biom12060748] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/21/2022] [Accepted: 05/24/2022] [Indexed: 02/01/2023] Open
Abstract
There is a growing prevalence of vascular cognitive impairment (VCI) worldwide, and most research has suggested that cerebral small vessel disease (CSVD) is the main contributor to VCI. Several potential physiopathologic mechanisms have been proven to be involved in the process of CSVD, such as blood-brain barrier damage, small vessels stiffening, venous collagenosis, cerebral blood flow reduction, white matter rarefaction, chronic ischaemia, neuroinflammation, myelin damage, and subsequent neurodegeneration. However, there still is a limited overall understanding of the sequence and the relative importance of these mechanisms. The glymphatic system (GS) and meningeal lymphatic vessels (mLVs) are the analogs of the lymphatic system in the central nervous system (CNS). As such, these systems play critical roles in regulating cerebrospinal fluid (CSF) and interstitial fluid (ISF) transport, waste clearance, and, potentially, neuroinflammation. Accumulating evidence has suggested that the glymphatic and meningeal lymphatic vessels played vital roles in animal models of CSVD and patients with CSVD. Given the complexity of CSVD, it was significant to understand the underlying interaction between glymphatic and meningeal lymphatic transport with CSVD. Here, we provide a novel framework based on new advances in main four aspects, including vascular risk factors, potential mechanisms, clinical subtypes, and cognition, which aims to explain how the glymphatic system and meningeal lymphatic vessels contribute to the progression of CSVD and proposes a comprehensive insight into the novel therapeutic strategy of CSVD.
Collapse
|
31
|
Barisano G, Lynch KM, Sibilia F, Lan H, Shih NC, Sepehrband F, Choupan J. Imaging perivascular space structure and function using brain MRI. Neuroimage 2022; 257:119329. [PMID: 35609770 PMCID: PMC9233116 DOI: 10.1016/j.neuroimage.2022.119329] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/04/2022] [Accepted: 05/19/2022] [Indexed: 12/03/2022] Open
Abstract
In this article, we provide an overview of current neuroimaging methods for studying perivascular spaces (PVS) in humans using brain MRI. In recent years, an increasing number of studies highlighted the role of PVS in cerebrospinal/interstial fluid circulation and clearance of cerebral waste products and their association with neurological diseases. Novel strategies and techniques have been introduced to improve the quantification of PVS and to investigate their function and morphological features in physiological and pathological conditions. After a brief introduction on the anatomy and physiology of PVS, we examine the latest technological developments to quantitatively analyze the structure and function of PVS in humans with MRI. We describe the applications, advantages, and limitations of these methods, providing guidance and suggestions on the acquisition protocols and analysis techniques that can be applied to study PVS in vivo. Finally, we review the human neuroimaging studies on PVS across the normative lifespan and in the context of neurological disorders.
Collapse
Affiliation(s)
- Giuseppe Barisano
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA; Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA..
| | - Kirsten M Lynch
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
| | - Francesca Sibilia
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
| | - Haoyou Lan
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA; Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Nien-Chu Shih
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
| | - Farshid Sepehrband
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
| | - Jeiran Choupan
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, USA
| |
Collapse
|
32
|
Cerebrovascular function and its association with systemic artery function and stiffness in older adults with and without mild cognitive impairment. Eur J Appl Physiol 2022; 122:1843-1856. [PMID: 35522276 PMCID: PMC9287231 DOI: 10.1007/s00421-022-04956-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/15/2022] [Indexed: 01/23/2023]
Abstract
PURPOSE Our aim was to compare cerebrovascular and systemic vascular function between older adults with and without mild cognitive impairment (MCI), and to determine which measures of vascular function best predict the presence of MCI. METHODS In 41 adults with MCI and 33 adults without MCI (control) we compared middle cerebral artery velocity (MCAv) and cerebrovascular pulsatility index (PI) at rest, cerebrovascular reactivity to CO2, and responsiveness to changes in blood pressure (%∆MCAv/%∆MAP). Systemic vascular function was assessed by flow-mediated dilation (FMD) and stiffness by pulse wave velocity (PWV). RESULTS Cerebrovascular PI was higher in MCI compared with control (mean ± SD: 1.17 ± 0.27 vs. 1.04 ± 0.21), and MCI exhibited a lower %∆MCAv/%∆MAP (1.26 ± 0.44 vs. 1.50 ± 0.55%). Absolute (p = 0.76) and relative cerebrovascular reactivity to CO2 (p = 0.34) was similar between MCI and control. When age was included as a covariate the significant difference in cerebral PI between groups was lost. PWV was higher (13.2 ± 2.2 vs. 11.3 ± 2.5 m s-1) and FMD% (4.41 ± 1.70 vs. 5.43 ± 2.15%) was lower in MCI compared with control. FMD% was positively associated with PI across the cohort. Logistic regression analysis indicated that FMD and PWV significantly discriminated between MCI and controls, independent of age, whereas the inclusion of cerebrovascular measures did not improve the predictive accuracy of the model. CONCLUSION These findings raise the possibility that early changes in systemic vascular stiffness and endothelial function may contribute to altered cerebrovascular haemodynamics and impaired cognitive function, and present potential targets for prevention and treatment strategies in people with MCI.
Collapse
|
33
|
Yu L, Hu X, Li H, Zhao Y. Perivascular Spaces, Glymphatic System and MR. Front Neurol 2022; 13:844938. [PMID: 35592469 PMCID: PMC9110928 DOI: 10.3389/fneur.2022.844938] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/28/2022] [Indexed: 12/29/2022] Open
Abstract
The importance of the perivascular space (PVS) as one of the imaging markers of cerebral small vessel disease (CSVD) has been widely appreciated by the neuroradiologists. The PVS surrounds the small blood vessels in the brain and has a signal consistent with the cerebrospinal fluid (CSF) on MR. In a variety of physio-pathological statuses, the PVS may expand. The discovery of the cerebral glymphatic system has provided a revolutionary perspective to elucidate its pathophysiological mechanisms. Research on the function and pathogenesis of this system has become a prevalent topic among neuroradiologists. It is now believed that this system carries out the similar functions as the lymphatic system in other parts of the body and plays an important role in the removal of metabolic waste and the maintenance of homeostatic fluid circulation in the brain. In this article, we will briefly describe the composition of the cerebral glymphatic system, the influencing factors, the MR manifestations of the PVS and the related imaging technological advances. The aim of this research is to provide a reference for future clinical studies of the PVS and glymphatic system.
Collapse
Affiliation(s)
- Linya Yu
- Department of Radiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaofei Hu
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Haitao Li
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Haitao Li
| | - Yilei Zhao
- Department of Radiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Yilei Zhao
| |
Collapse
|
34
|
Cerebral small vessel disease alters neurovascular unit regulation of microcirculation integrity involved in vascular cognitive impairment. Neurobiol Dis 2022; 170:105750. [DOI: 10.1016/j.nbd.2022.105750] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 03/09/2022] [Accepted: 05/08/2022] [Indexed: 12/25/2022] Open
|
35
|
Perosa V, Arts T, Assmann A, Mattern H, Speck O, Oltmer J, Heinze HJ, Düzel E, Schreiber S, Zwanenburg JJM. Pulsatility Index in the Basal Ganglia Arteries Increases with Age in Elderly with and without Cerebral Small Vessel Disease. AJNR Am J Neuroradiol 2022; 43:540-546. [PMID: 35332021 PMCID: PMC8993201 DOI: 10.3174/ajnr.a7450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 01/05/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Cerebral small vessel disease contributes to stroke and cognitive impairment and interacts with Alzheimer disease pathology. Because of the small dimensions of the affected vessels, in vivo characterization of blood flow properties is challenging but important to unravel the underlying mechanisms of the disease. MATERIALS AND METHODS A 2D phase-contrast sequence at 7T MR imaging was used to assess blood flow velocity and the pulsatility index of the perforating basal ganglia arteries. We included patients with cerebral amyloid angiopathy (n = 8; identified through the modified Boston criteria), hypertensive arteriopathy (n = 12; identified through the presence of strictly deep or mixed cerebral microbleeds), and age- and sex-matched controls (n = 28; no cerebral microbleeds). RESULTS Older age was related to a greater pulsatility index, irrespective of cerebral small vessel disease. In hypertensive arteriopathy, there was an association between lower blood flow velocity of the basal ganglia and the presence of peri-basal ganglia WM hyperintensities. CONCLUSIONS Our results suggest that age might be the driving factor for altered cerebral small vessel hemodynamics. Furthermore, this study puts cerebral small vessel disease downstream pathologies in the basal ganglia region in relation to blood flow characteristics of the basal ganglia microvasculature.
Collapse
Affiliation(s)
- V Perosa
- From the Department of Neurology (V.P., A.A., J.O., H.-J.H., S.S.)
- German Center for Neurodegenerative Diseases (V.P., O.S., H.-J.H., E.D., S.S.), Magdeburg, Germany
- J. Philip Kistler Stroke Research Center (V.P.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - T Arts
- Department of Radiology (T.A., J.J.M.Z.), University Medical Center Utrecht, Utrecht, the Netherlands
| | - A Assmann
- From the Department of Neurology (V.P., A.A., J.O., H.-J.H., S.S.)
| | | | - O Speck
- German Center for Neurodegenerative Diseases (V.P., O.S., H.-J.H., E.D., S.S.), Magdeburg, Germany
- Leibniz-Institute for Neurobiology (O.S., H.-J.H.), Magdeburg, Germany
- Center for Behavioral Brain Sciences (O.S., H.-J.H., E.D.), Magdeburg, Germany
| | - J Oltmer
- From the Department of Neurology (V.P., A.A., J.O., H.-J.H., S.S.)
| | - H-J Heinze
- From the Department of Neurology (V.P., A.A., J.O., H.-J.H., S.S.)
- German Center for Neurodegenerative Diseases (V.P., O.S., H.-J.H., E.D., S.S.), Magdeburg, Germany
- Leibniz-Institute for Neurobiology (O.S., H.-J.H.), Magdeburg, Germany
- Center for Behavioral Brain Sciences (O.S., H.-J.H., E.D.), Magdeburg, Germany
| | - E Düzel
- Institute of Cognitive Neurology and Dementia Research (E.D.), Ottovon-Guericke University, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (V.P., O.S., H.-J.H., E.D., S.S.), Magdeburg, Germany
- Center for Behavioral Brain Sciences (O.S., H.-J.H., E.D.), Magdeburg, Germany
- Institute of Cognitive Neuroscience (E.D.), University College London, London, UK
| | - S Schreiber
- From the Department of Neurology (V.P., A.A., J.O., H.-J.H., S.S.)
- German Center for Neurodegenerative Diseases (V.P., O.S., H.-J.H., E.D., S.S.), Magdeburg, Germany
| | - J J M Zwanenburg
- Department of Radiology (T.A., J.J.M.Z.), University Medical Center Utrecht, Utrecht, the Netherlands
| |
Collapse
|
36
|
Wardlaw JM, Benveniste H, Williams A. Cerebral Vascular Dysfunctions Detected in Human Small Vessel Disease and Implications for Preclinical Studies. Annu Rev Physiol 2022; 84:409-434. [PMID: 34699267 DOI: 10.1146/annurev-physiol-060821-014521] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Cerebral small vessel disease (SVD) is highly prevalent and a common cause of ischemic and hemorrhagic stroke and dementia, yet the pathophysiology is poorly understood. Its clinical expression is highly varied, and prognostic implications are frequently overlooked in clinics; thus, treatment is currently confined to vascular risk factor management. Traditionally, SVD is considered the small vessel equivalent of large artery stroke (occlusion, rupture), but data emerging from human neuroimaging and genetic studies refute this, instead showing microvessel endothelial dysfunction impacting on cell-cell interactions and leading to brain damage. These dysfunctions reflect defects that appear to be inherited and secondary to environmental exposures, including vascular risk factors. Interrogation in preclinical models shows consistent and converging molecular and cellular interactions across the endothelial-glial-neural unit that increasingly explain the human macroscopic observations and identify common patterns of pathology despite different triggers. Importantly, these insights may offer new targets for therapeutic intervention focused on restoring endothelial-glial physiology.
Collapse
Affiliation(s)
- Joanna M Wardlaw
- Division of Neuroimaging Sciences, Centre for Clinical Brain Sciences; UK Dementia Research Institute; and Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom;
| | - Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Anna Williams
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, United Kingdom
| |
Collapse
|
37
|
Connectomic-genetic signatures in the cerebral small vessel disease. Neurobiol Dis 2022; 167:105671. [DOI: 10.1016/j.nbd.2022.105671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 01/31/2022] [Accepted: 02/21/2022] [Indexed: 11/19/2022] Open
|
38
|
Li M, Kitamura A, Beverley J, Koudelka J, Duncombe J, Lennen R, Jansen MA, Marshall I, Platt B, Wiegand UK, Carare RO, Kalaria RN, Iliff JJ, Horsburgh K. Impaired Glymphatic Function and Pulsation Alterations in a Mouse Model of Vascular Cognitive Impairment. Front Aging Neurosci 2022; 13:788519. [PMID: 35095472 PMCID: PMC8793139 DOI: 10.3389/fnagi.2021.788519] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 12/07/2021] [Indexed: 12/24/2022] Open
Abstract
Large vessel disease and carotid stenosis are key mechanisms contributing to vascular cognitive impairment (VCI) and dementia. Our previous work, and that of others, using rodent models, demonstrated that bilateral common carotid stenosis (BCAS) leads to cognitive impairment via gradual deterioration of the neuro-glial-vascular unit and accumulation of amyloid-β (Aβ) protein. Since brain-wide drainage pathways (glymphatic) for waste clearance, including Aβ removal, have been implicated in the pathophysiology of VCI via glial mechanisms, we hypothesized that glymphatic function would be impaired in a BCAS model and exacerbated in the presence of Aβ. Male wild-type and Tg-SwDI (model of microvascular amyloid) mice were subjected to BCAS or sham surgery which led to a reduction in cerebral perfusion and impaired spatial learning acquisition and cognitive flexibility. After 3 months survival, glymphatic function was evaluated by cerebrospinal fluid (CSF) fluorescent tracer influx. We demonstrated that BCAS caused a marked regional reduction of CSF tracer influx in the dorsolateral cortex and CA1-DG molecular layer. In parallel to these changes increased reactive astrogliosis was observed post-BCAS. To further investigate the mechanisms that may lead to these changes, we measured the pulsation of cortical vessels. BCAS impaired vascular pulsation in pial arteries in WT and Tg-SwDI mice. Our findings show that BCAS influences VCI and that this is paralleled by impaired glymphatic drainage and reduced vascular pulsation. We propose that these additional targets need to be considered when treating VCI.
Collapse
Affiliation(s)
- Mosi Li
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Medical School, UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Akihiro Kitamura
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Department of Neurology, Shiga University of Medical Science, Otsu, Japan
| | - Joshua Beverley
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Juraj Koudelka
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Jessica Duncombe
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Ross Lennen
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Maurits A Jansen
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Ian Marshall
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Bettina Platt
- School of Medicine, Medical Sciences and Nutrition, College of Life Sciences and Medicine, University of Aberdeen, Aberdeen, United Kingdom
| | - Ulrich K Wiegand
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Roxana O Carare
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Rajesh N Kalaria
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Jeffrey J Iliff
- VISN 20 Mental Illness Research, Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, United States
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, United States
- Department of Neurology, University of Washington School of Medicine, Seattle, WA, United States
| | - Karen Horsburgh
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| |
Collapse
|
39
|
Wang H, Han X, Li M, Yang ZH, Liu WH, Wang ZC. Long-term hemodialysis may affect enlarged perivascular spaces in maintenance hemodialysis patients: evidence from a pilot MRI study. Quant Imaging Med Surg 2022; 12:341-353. [PMID: 34993083 DOI: 10.21037/qims-20-1246] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 06/23/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND Hemodialysis (HD) causes various nervous system abnormalities. Alterations in white matter (WM) microstructure after long-term HD have been reported in a few previous studies; however, no studies have been performed to investigate enlarged perivascular spaces (PVS) in WM regions. We measured cerebral blood flow (CBF) and white matter volume (WMV) in HD patients to assess enlarged PVS severity in the WM across the whole brain and suggest possible explanations for this. METHODS Fifty-one HD patients and 51 age-, sex-, and education-matched healthy controls (HCs) were recruited. The number of enlarged PVS in the centrum semiovale (CS), cerebral watershed (CW), and basal ganglia (BG) regions were assessed by T2-weighted MRI. CBF was estimated by arterial spin labeling (ASL), which is a non-invasive perfusion imaging technique. WMV was assessed by the computational anatomy toolbox (CAT12), which is a statistical analysis package. Differences in descriptive variables (two-tailed t-tests, χ2 tests, Mann-Whitney U tests, and Friedman M tests), an intra-class correlation between radiologists, the relationship between enlarged PVS number and HD duration, normalized CBF and WMV (multiple regression), and group differences in CBF and WMV {voxel-wise t-tests with age and sex as covariates [cluster size >50 voxels, false discovery rate (FDR) corrected, P<0.05]} were assessed. RESULTS HD patients displayed a more significant number of CS-PVS and CW-PVS in WM regions compared with the HCs, but there was no significant difference in the number of BG-PVS. The number of CS-PVS and CW-PVS were positively associated with HD duration. The number of CW-PVS was positively associated with CBF changes and WMV alteration in HD patients. Meanwhile, significant differences in the blood pressure (BP) readings pre-HD, intra-HD, and post-HD were observed in HD patients. Compared with the HCs, the HD patients showed higher CBF in the CS, CW, and BG regions (P<0.05). Hence, decreased WMV in the CS, CW, and BG regions were shown in the HD patients compared with the HCs (P<0.05). CONCLUSIONS Enlarged CS-PVS and CW-PVS on MRI might be a feature of long-term HD patients. Enlarged CW-PVS number is associated with higher CBF in the CW region and lower WMV in the CW region in HD patients.
Collapse
Affiliation(s)
- Hao Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xue Han
- Department of Nephrology, Faculty of Kidney Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Mingan Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zheng-Han Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Wen-Hu Liu
- Department of Nephrology, Faculty of Kidney Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhen-Chang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
40
|
Wang X, Cui L, Ji X. Cognitive impairment caused by hypoxia: from clinical evidences to molecular mechanisms. Metab Brain Dis 2022; 37:51-66. [PMID: 34618295 DOI: 10.1007/s11011-021-00796-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 07/09/2021] [Indexed: 12/23/2022]
Abstract
Hypoxia is a state of reduced oxygen supply and excessive oxygen consumption. According to the duration of hypoxic period, it can be classified as acute and chronic hypoxia. Both acute and chronic hypoxia could induce abundant neurological deficits. Although there have been significant advances in the pathophysiological injuries, few studies have focused on the cognitive dysfunction. In this review, we focused on the clinical evidences and molecular mechanisms of cognitive impairment under acute and chronic hypoxia. Hypoxia can impair several cognitive domains such as attention, learning and memory, procession speed and executive function, which are similar in acute and chronic hypoxia. The severity of cognitive deficit correlates with the duration and degree of hypoxia. Recovery can be achieved after acute hypoxia, while sequelae or even dementia can be observed after chronic hypoxia, perhaps due to the different molecular mechanisms. Cardiopulmonary compensatory response, glycolysis, oxidative stress, calcium overload, adenosine, mitochondrial disruption, inflammation and excitotoxicity contribute to the molecular mechanisms of cognitive deficit after acute hypoxia. During the chronic stage of hypoxia, different adaptive responses, impaired neurovascular coupling, apoptosis, transcription factors-mediated inflammation, as well as Aβ accumulation and tau phosphorylation account for the neurocognitive deficit. Moreover, brain structural changes with hippocampus and cortex atrophy, ventricle enlargement, senile plaque and neurofibrillary tangle deposition can be observed under chronic hypoxia rather than acute hypoxia.
Collapse
Affiliation(s)
- Xiaoyin Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Lili Cui
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xunming Ji
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China.
- Department of Neurosurgery, Xuanwu Hospital of Capital Medical University, No 45, Changchun Street, Beijing, 100053, Xicheng District, China.
| |
Collapse
|
41
|
Blair GW, Janssen E, Stringer MS, Thrippleton MJ, Chappell F, Shi Y, Hamilton I, Flaherty K, Appleton JP, Doubal FN, Bath PM, Wardlaw JM. Effects of Cilostazol and Isosorbide Mononitrate on Cerebral Hemodynamics in the LACI-1 Randomized Controlled Trial. Stroke 2021; 53:29-33. [PMID: 34847709 PMCID: PMC8700302 DOI: 10.1161/strokeaha.121.034866] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Supplemental Digital Content is available in the text. Cerebral small vessel disease—a major cause of stroke and dementia—is associated with cerebrovascular dysfunction. We investigated whether short-term isosorbide mononitrate (ISMN) and cilostazol, alone or in combination, improved magnetic resonance imaging–measured cerebrovascular function in patients with lacunar ischemic stroke.
Collapse
Affiliation(s)
- Gordon W Blair
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Esther Janssen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands (E.J.)
| | - Michael S Stringer
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Michael J Thrippleton
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Francesca Chappell
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Yulu Shi
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Iona Hamilton
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Katie Flaherty
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, United Kingdom (K.F., J.P.A., P.M.B.)
| | - Jason P Appleton
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, United Kingdom (K.F., J.P.A., P.M.B.).,Stroke, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital, Mindelsohn Way, United Kingdom (J.P.A.)
| | - Fergus N Doubal
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| | - Philip M Bath
- Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, United Kingdom (K.F., J.P.A., P.M.B.).,Stroke, Queen's Medical Centre Campus, Nottingham University Hospitals NHS Trust, United Kingdom (P.M.B.)
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Institute Centre at the University of Edinburgh, United Kingdom (G.W.B., M.S.S., M.J.T., F.C., Y.S., I.H., F.N.D., J.M.W.)
| |
Collapse
|
42
|
Kalaria RN, Sepulveda-Falla D. Cerebral Small Vessel Disease in Sporadic and Familial Alzheimer Disease. THE AMERICAN JOURNAL OF PATHOLOGY 2021; 191:1888-1905. [PMID: 34331941 PMCID: PMC8573679 DOI: 10.1016/j.ajpath.2021.07.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 06/15/2021] [Accepted: 07/02/2021] [Indexed: 01/26/2023]
Abstract
Alzheimer disease (AD) is the most common cause of dementia. Biological definitions of AD are limited to the cerebral burden of amyloid β plaques, neurofibrillary pathology, and neurodegeneration. However, current evidence suggests that various features of small vessel disease (SVD) are part of and covertly modify both sporadic and familial AD. Neuroimaging studies suggest that white matter hyperintensities explained by vascular mechanisms occurs frequently in the AD spectrum. Recent advances have further emphasized that frontal periventricular and posterior white matter hyperintensities are associated with cerebral amyloid angiopathy in familial AD. Although whether SVD markers precede the classically recognized biomarkers of disease is debatable, post-mortem studies show that SVD pathology incorporating small cortical and subcortical infarcts, microinfarcts, microbleeds, perivascular spacing, and white matter attenuation is commonly found in sporadic as well as in mutation carriers with confirmed familial AD. Age-related cerebral vessel pathologies such as arteriolosclerosis and cerebral amyloid angiopathy modify progression or worsen risk by shifting the threshold for cognitive impairment and AD dementia. The incorporation of SVD as a biomarker is warranted in the biological definition of AD. Therapeutic interventions directly reducing the burden of brain amyloid β have had no major impact on the disease or delaying cognitive deterioration, but lowering the risk of vascular disease seems the only rational approach to tackle both early- and late-onset AD dementia.
Collapse
Affiliation(s)
- Rajesh N Kalaria
- Neurovascular Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom; Department of Human Anatomy, College of Health Sciences, University of Nairobi, Nairobi, Kenya.
| | - Diego Sepulveda-Falla
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| |
Collapse
|
43
|
Cao J, Yao D, Li R, Guo X, Hao J, Xie M, Li J, Pan D, Luo X, Yu Z, Wang M, Wang W. Digoxin Ameliorates Glymphatic Transport and Cognitive Impairment in a Mouse Model of Chronic Cerebral Hypoperfusion. Neurosci Bull 2021; 38:181-199. [PMID: 34704235 PMCID: PMC8821764 DOI: 10.1007/s12264-021-00772-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 07/04/2021] [Indexed: 02/03/2023] Open
Abstract
The glymphatic system plays a pivotal role in maintaining cerebral homeostasis. Chronic cerebral hypoperfusion, arising from small vessel disease or carotid stenosis, results in cerebrometabolic disturbances ultimately manifesting in white matter injury and cognitive dysfunction. However, whether the glymphatic system serves as a potential therapeutic target for white matter injury and cognitive decline during hypoperfusion remains unknown. Here, we established a mouse model of chronic cerebral hypoperfusion via bilateral common carotid artery stenosis. We found that the hypoperfusion model was associated with significant white matter injury and initial cognitive impairment in conjunction with impaired glymphatic system function. The glymphatic dysfunction was associated with altered cerebral perfusion and loss of aquaporin 4 polarization. Treatment of digoxin rescued changes in glymphatic transport, white matter structure, and cognitive function. Suppression of glymphatic functions by treatment with the AQP4 inhibitor TGN-020 abolished this protective effect of digoxin from hypoperfusion injury. Our research yields new insight into the relationship between hemodynamics, glymphatic transport, white matter injury, and cognitive changes after chronic cerebral hypoperfusion.
Collapse
Affiliation(s)
- Jie Cao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Di Yao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Rong Li
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China ,Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Xuequn Guo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China ,Department of Respiratory Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, 362000 China
| | - Jiahuan Hao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Minjie Xie
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Jia Li
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Dengji Pan
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Xiang Luo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Zhiyuan Yu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Minghuan Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| | - Wei Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China ,Key Laboratory of Neurological Diseases of the Chinese Ministry of Education, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China
| |
Collapse
|
44
|
Benveniste H, Nedergaard M. Cerebral small vessel disease: A glymphopathy? Curr Opin Neurobiol 2021; 72:15-21. [PMID: 34407477 DOI: 10.1016/j.conb.2021.07.006] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 07/09/2021] [Accepted: 07/14/2021] [Indexed: 12/23/2022]
Abstract
Small vessel disease (SVD) is a common instigator of dementia in the aging population. The hallmarks of SVD are enlargement of the perivascular spaces and white matter hyperintensities. The latter represents local fluid accumulation in white matter that either subsides or develops into lacunar infarcts. We here propose that failure of brain fluid transport-via the glymphatic system-plays a key role in initiation and progression of SVD. Our major case for this concept is that perivascular spaces are utilized as waterways for influx of cerebrospinal fluid. Stagnation of glymphatic transport may drive loss of brain fluid homeostasis leading to transient white matter edema, perivascular dilation, and ultimately demyelination. This review will discuss how glymphatic rodent studies of hypertension and diabetes have provided new insight into the pathogenesis of SVD.
Collapse
Affiliation(s)
- Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, New Haven, CT, USA
| | - Maiken Nedergaard
- Center for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark; Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, 14642, USA.
| |
Collapse
|
45
|
Kostrikov S, Johnsen KB, Braunstein TH, Gudbergsson JM, Fliedner FP, Obara EAA, Hamerlik P, Hansen AE, Kjaer A, Hempel C, Andresen TL. Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors. Commun Biol 2021; 4:815. [PMID: 34211069 PMCID: PMC8249617 DOI: 10.1038/s42003-021-02275-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 05/25/2021] [Indexed: 02/06/2023] Open
Abstract
Precise methods for quantifying drug accumulation in brain tissue are currently very limited, challenging the development of new therapeutics for brain disorders. Transcardial perfusion is instrumental for removing the intravascular fraction of an injected compound, thereby allowing for ex vivo assessment of extravasation into the brain. However, pathological remodeling of tissue microenvironment can affect the efficiency of transcardial perfusion, which has been largely overlooked. We show that, in contrast to healthy vasculature, transcardial perfusion cannot remove an injected compound from the tumor vasculature to a sufficient extent leading to considerable overestimation of compound extravasation. We demonstrate that 3D deep imaging of optically cleared tumor samples overcomes this limitation. We developed two machine learning-based semi-automated image analysis workflows, which provide detailed quantitative characterization of compound extravasation patterns as well as tumor angioarchitecture in large three-dimensional datasets from optically cleared samples. This methodology provides a precise and comprehensive analysis of extravasation in brain tumors and allows for correlation of extravasation patterns with specific features of the heterogeneous brain tumor vasculature.
Collapse
Affiliation(s)
- Serhii Kostrikov
- Section for Biotherapeutic Engineering and Drug Targeting, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Kasper B Johnsen
- Section for Biotherapeutic Engineering and Drug Targeting, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Thomas H Braunstein
- Core Facility for Integrated Microscopy, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Johann M Gudbergsson
- Section for Biotherapeutic Engineering and Drug Targeting, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
- Laboratory for Neurobiology, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Frederikke P Fliedner
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Department of Biomedical Sciences, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
- Department of Biomedical Sciences, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
| | - Elisabeth A A Obara
- Brain Tumor Biology, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Clinical Biochemistry, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Bispebjerg, Denmark
| | - Petra Hamerlik
- Brain Tumor Biology, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anders E Hansen
- Section for Biotherapeutic Engineering and Drug Targeting, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Andreas Kjaer
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Department of Biomedical Sciences, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
- Department of Biomedical Sciences, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
| | - Casper Hempel
- Section for Biotherapeutic Engineering and Drug Targeting, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
| | - Thomas L Andresen
- Section for Biotherapeutic Engineering and Drug Targeting, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
| |
Collapse
|
46
|
Imaging neurovascular, endothelial and structural integrity in preparation to treat small vessel diseases. The INVESTIGATE-SVDs study protocol. Part of the SVDs@Target project. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2021; 2:100020. [PMID: 36324725 PMCID: PMC9616332 DOI: 10.1016/j.cccb.2021.100020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/25/2021] [Accepted: 06/20/2021] [Indexed: 12/30/2022]
Abstract
Background Sporadic cerebral small vessel disease (SVD) and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) share clinical and neuroimaging features and possibly vascular dysfunction(s). However few studies have included both conditions, assessed more than one vascular dysfunction simultaneously, or included more than one centre. The INVESTIGATE-SVDs study will assess several cerebrovascular dysfunctions with MRI in participants with sporadic SVD or CADASIL at three European centres. Methods We will recruit participants with sporadic SVDs (ischaemic stroke or vascular cognitive impairment) and CADASIL in Edinburgh, Maastricht and Munich. We will perform detailed clinical and neuropsychological phenotyping of the participants, and neuroimaging including structural MRI, cerebrovascular reactivity MRI (CVR: using carbon dioxide challenge), phase contrast MRI (arterial, venous and CSF flow and pulsatility), dynamic contrast-enhanced MRI (blood brain barrier (BBB) leakage) and multishell diffusion imaging. Participants will measure their blood pressure (BP) and its variability over seven days using a telemetric device. Discussion INVESTIGATE-SVDs will assess the relationships of BBB integrity, CVR, pulsatility and CSF flow in sporadic SVD and CADASIL using a multisite, multimodal MRI protocol. We aim to establish associations between these measures of vascular function, risk factors particularly BP and its variability, and brain parenchymal lesions in these two SVD phenotypes. Additionally we will test feasibility of complex multisite MRI, provide reliable intermediary outcome measures and sample size estimates for future trials.
Collapse
Key Words
- BBB, blood brain barrier
- BOLD, blood oxygen level dependent
- BP, blood pressure
- BPv, blood pressure variability
- Blood-brain barrier permeability
- CADASIL
- CADASIL, cerebral autosomal dominant arteriopathy with leukoencephalopathy and subcortical infarcts
- CBF, cerebral blood flow
- CERAD+, consortium to establish a disease registry for Alzheimer's disease plus battery
- CO2, carbon dioxide
- CSF, cerebrospinal fluid
- CVR, cerebrovascular reactivity
- Cerebral small vessel disease
- Cerebrovascular reactivity
- DCE, dynamic contrast enhanced
- EtCO2, end-tidal carbon dioxide
- GM, grey matter
- MMSE, mini-mental state examination
- MRI
- MoCA, Montreal cognitive exam
- NIHSS, national institute for health stroke scale
- PI, pulsatility index
- PVS, perivascular space
- RSSI, recent small subcortical infarct
- SVDs, small vessel diseases
- WM, white matter
- WMH, white matter hyperintensity
Collapse
|
47
|
Ren X, Liu S, Lian C, Li H, Li K, Li L, Zhao G. Dysfunction of the Glymphatic System as a Potential Mechanism of Perioperative Neurocognitive Disorders. Front Aging Neurosci 2021; 13:659457. [PMID: 34163349 PMCID: PMC8215113 DOI: 10.3389/fnagi.2021.659457] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 05/18/2021] [Indexed: 12/21/2022] Open
Abstract
Perioperative neurocognitive disorder (PND) frequently occurs in the elderly as a severe postoperative complication and is characterized by a decline in cognitive function that impairs memory, attention, and other cognitive domains. Currently, the exact pathogenic mechanism of PND is multifaceted and remains unclear. The glymphatic system is a newly discovered glial-dependent perivascular network that subserves a pseudo-lymphatic function in the brain. Recent studies have highlighted the significant role of the glymphatic system in the removal of harmful metabolites in the brain. Dysfunction of the glymphatic system can reduce metabolic waste removal, leading to neuroinflammation and neurological disorders. We speculate that there is a causal relationship between the glymphatic system and symptomatic progression in PND. This paper reviews the current literature on the glymphatic system and some perioperative factors to discuss the role of the glymphatic system in PND.
Collapse
Affiliation(s)
- Xuli Ren
- Department of Anaesthesiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Shan Liu
- Department of Neurology, First Affiliated Hospital of Jilin University, Changchun, China
| | - Chuang Lian
- Department of Anaesthesiology, Jilin City People's Hospital, Jilin, China
| | - Haixia Li
- Department of Neurology, First Affiliated Hospital of Jilin University, Changchun, China
| | - Kai Li
- Department of Anaesthesiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Longyun Li
- Department of Anaesthesiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Guoqing Zhao
- Department of Anaesthesiology, China-Japan Union Hospital of Jilin University, Changchun, China.,Jilin University, Changchun, China
| |
Collapse
|
48
|
Stewart CR, Stringer MS, Shi Y, Thrippleton MJ, Wardlaw JM. Associations Between White Matter Hyperintensity Burden, Cerebral Blood Flow and Transit Time in Small Vessel Disease: An Updated Meta-Analysis. Front Neurol 2021; 12:647848. [PMID: 34017302 PMCID: PMC8129542 DOI: 10.3389/fneur.2021.647848] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 04/01/2021] [Indexed: 12/16/2022] Open
Abstract
Cerebral small vessel disease (SVD) is a major contributor to stroke and dementia, characterized by white matter hyperintensities (WMH) on neuroimaging. WMH are associated with reduced cerebral blood flow (CBF) cross-sectionally, though longitudinal associations remain unclear. We updated a 2016 systematic review, identifying 30 new studies, 27 cross-sectional (n = 2,956) and 3 longitudinal (n = 440). Cross-sectionally, 10/27 new studies (n = 1,019) included sufficient data for meta-analysis, which we meta-analyzed with 24 previously reported studies (n = 1,161), total 34 (n = 2,180). Our meta-analysis showed that patients with lower CBF had worse WMH burden (mean global CBF: standardized mean difference (SMD): −0.45, 95% confidence interval (CI): −0.64, −0.27). Longitudinally, associations between baseline CBF and WMH progression varied: the largest study (5 years, n = 252) found no associations, while another small study (4.5 years, n = 52) found that low CBF in the periventricular WMH penumbra predicted WMH progression. We could not meta-analyse longitudinal studies due to different statistical and methodological approaches. We found that CBF was lower in WMH than in normal-appearing white matter in an additional meta-analysis (5 cross-sectional studies; n = 295; SMD: −1.51, 95% CI: −1.94, −1.07). These findings highlight that relationships between resting CBF and WMH are complex. Further longitudinal studies analyzing regional CBF and subsequent WMH change are required to determine the role of CBF in SVD progression.
Collapse
Affiliation(s)
- Catriona R Stewart
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael S Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute at the University of Edinburgh, Edinburgh Medical School, Edinburgh, United Kingdom
| | - Yulu Shi
- Beijing Tian Tan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute at the University of Edinburgh, Edinburgh Medical School, Edinburgh, United Kingdom
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute at the University of Edinburgh, Edinburgh Medical School, Edinburgh, United Kingdom
| |
Collapse
|
49
|
Moore EE, Jefferson AL. Impact of Cardiovascular Hemodynamics on Cognitive Aging. Arterioscler Thromb Vasc Biol 2021; 41:1255-1264. [PMID: 33567862 DOI: 10.1161/atvbaha.120.311909] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
[Figure: see text].
Collapse
Affiliation(s)
- Elizabeth E Moore
- Vanderbilt Memory & Alzheimer's Center (E.E.M., A.L.J.), Vanderbilt University Medical Center, Nashville, TN.,Medical Scientist Training Program, School of Medicine, Vanderbilt University, Nashville, TN (E.E.M.)
| | - Angela L Jefferson
- Vanderbilt Memory & Alzheimer's Center (E.E.M., A.L.J.), Vanderbilt University Medical Center, Nashville, TN.,Department of Neurology (A.L.J.), Vanderbilt University Medical Center, Nashville, TN
| |
Collapse
|
50
|
Morgan AG, Thrippleton MJ, Wardlaw JM, Marshall I. 4D flow MRI for non-invasive measurement of blood flow in the brain: A systematic review. J Cereb Blood Flow Metab 2021; 41:206-218. [PMID: 32936731 PMCID: PMC8369999 DOI: 10.1177/0271678x20952014] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 06/22/2020] [Accepted: 07/05/2020] [Indexed: 01/25/2023]
Abstract
The brain's vasculature is essential for brain health and its dysfunction contributes to the onset and development of many dementias and neurological disorders. While numerous in vivo imaging techniques exist to investigate cerebral haemodynamics in humans, phase-contrast magnetic resonance imaging (MRI) has emerged as a reliable, non-invasive method of quantifying blood flow within intracranial vessels. In recent years, an advanced form of this method, known as 4D flow, has been developed and utilised in patient studies, where its ability to capture complex blood flow dynamics within any major vessel across the acquired volume has proved effective in collecting large amounts of information in a single scan. While extremely promising as a method of examining the vascular system's role in brain-related diseases, the collection of 4D data can be time-consuming, meaning data quality has to be traded off against the acquisition time. Here, we review the available literature to examine 4D flow's capabilities in assessing physiological and pathological features of the cerebrovascular system. Emerging techniques such as dynamic velocity-encoding and advanced undersampling methods, combined with increasingly high-field MRI scanners, are likely to bring 4D flow to the forefront of cerebrovascular imaging studies in the years to come.
Collapse
Affiliation(s)
- Alasdair G Morgan
- Brain Research Imaging Centre, Centre for Clinical Brain
Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute at The University of Edinburgh,
Edinburgh Medical School, Edinburgh, UK
| | - Michael J Thrippleton
- Brain Research Imaging Centre, Centre for Clinical Brain
Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute at The University of Edinburgh,
Edinburgh Medical School, Edinburgh, UK
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain
Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute at The University of Edinburgh,
Edinburgh Medical School, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology,
University of Edinburgh, Edinburgh, UK
| | - Ian Marshall
- Brain Research Imaging Centre, Centre for Clinical Brain
Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute at The University of Edinburgh,
Edinburgh Medical School, Edinburgh, UK
| |
Collapse
|