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Lu J, Zuo X, Cai A, Xiao F, Xu Z, Wang R, Miao C, Yang C, Zheng X, Wang J, Ding X, Xiong W. Cerebral small vessel injury in mice with damage to ACE2-expressing cerebral vascular endothelial cells and post COVID-19 patients. Alzheimers Dement 2024. [PMID: 39352003 DOI: 10.1002/alz.14279] [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: 02/26/2024] [Revised: 08/27/2024] [Accepted: 08/29/2024] [Indexed: 10/03/2024]
Abstract
INTRODUCTION The angiotensin-converting enzyme 2 (ACE2), which is expressed in cerebral vascular endothelial cells (CVECs), has been currently identified as a functional receptor for SARS-CoV-2. METHODS We specifically induced injury to ACE2-expressing CVECs in mice and evaluated the effects of such targeted damage through magnetic resonance imaging (MRI) and cognitive behavioral tests. In parallel, we recruited a single-center cohort of COVID-19 survivors and further assessed their brain microvascular injury based on cognition and emotional scales, cranial MRI scans, and blood proteomic measurements. RESULTS Here, we show an array of pathological and behavioral alterations characteristic of cerebral small vessel disease (CSVD) in mice that targeted damage to ACE2-expressing CVECs, and COVID-19 survivors. These CSVD-like manifestations persist for at least 7 months post-recovery from COVID-19. DISCUSSION Our findings suggest that SARS-CoV-2 may induce cerebral small vessel damage with persistent sequelae, underscoring the imperative for heightened clinical vigilance in mitigating or treating SARS-CoV-2-mediated cerebral endothelial injury throughout infection and convalescence. HIGHLIGHTS Cerebral small vessel disease-associated changes were observed after targeted damage to angiotensin-converting enzyme 2-expressing cerebral vascular endothelial cells. SARS-CoV-2 may induce cerebral small vessel damage with persistent sequelae. Clinical vigilance is needed in preventing SARS-CoV-2-induced cerebral endothelial damage during infection and recovery.
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Affiliation(s)
- Jieping Lu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Xin Zuo
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Aoling Cai
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
- The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Fang Xiao
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Zhenyu Xu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Rui Wang
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Chenjian Miao
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Chen Yang
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Xingxing Zheng
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Jie Wang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoling Ding
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Wei Xiong
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- Anhui Province Key Laboratory of Biomedical Aging Research, Hefei, China
- CAS Key Laboratory of Brain Function and Disease, Hefei, China
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Pan ZA, Zhang DD, Liu ZY, Shu MJ, Zhai FF, Yao M, Zhou LX, Ni J, Jin ZY, Zhang SY, Cui LY, Han F, Zhu YC. Risk factor differences in five-year progression of Intracranial artery stenosis and cerebral small vessel disease in general population. BMC Neurol 2024; 24:328. [PMID: 39243002 PMCID: PMC11378397 DOI: 10.1186/s12883-024-03835-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 08/28/2024] [Indexed: 09/09/2024] Open
Abstract
BACKGROUND Intracranial artery stenosis (ICAS) and cerebral small vessel disease (CSVD) are associated with a heavy socioeconomic burden; however, their longitudinal changes remain controversial. METHODS We conducted a longitudinal analysis on 756 participants of Shunyi Cohort who underwent both baseline and follow-up brain magnetic resonance imaging (MRI) and MR angiography in order to investigate the risk factors for ICAS and CSVD progression in community population. Incident ICAS was defined as new stenosis occurring in at least one artery or increased severity of the original artery stenosis. CSVD markers included lacunes, cerebral microbleeds (CMB), and white matter hyperintensities (WMH). RESULTS After 5.58 ± 0.49 years of follow-up, 8.5% of the 756 participants (53.7 ± 8.0 years old, 65.1% women) had incident ICAS. Body mass index (BMI) (OR = 1.09, 95% CI = 1.01-1.17, p = 0.035) and diabetes mellitus (OR = 2.67, 95% CI = 1.44-4.93, p = 0.002) were independent risk factors for incident ICAS. Hypertension was an independent risk factor for incident lacunes (OR = 2.12, 95% CI = 1.20-3.77, p = 0.010) and CMB (OR = 2.32, 95% CI = 1.22-4.41, p = 0.011), while WMH progression was primarily affected by BMI (β = 0.108, SE = 0.006, p = 0.002). A higher LDL cholesterol level was found to independently protect against WMH progression (β = -0.076, SE = 0.027, p = 0.019). CONCLUSIONS Modifiable risk factor profiles exhibit different in patients with ICAS and CSVD progression. Controlling BMI and diabetes mellitus may help to prevent incident ICAS, and antihypertensive therapy may conduce to mitigate lacunes and CMB progression. LDL cholesterol may play an inverse role in large arteries and small vessels.
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Affiliation(s)
- Zi-Ang Pan
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China
| | - Ding-Ding Zhang
- Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Zi-Yue Liu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China
| | - Mei-Jun Shu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China
| | - Fei-Fei Zhai
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China
| | - Ming Yao
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China
| | - Li-Xin Zhou
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China
| | - Jun Ni
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China
| | - Zheng-Yu Jin
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Shu-Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Li-Ying Cui
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China
| | - Fei Han
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China.
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No. 1 Shuaifuyuan, Wangfujing, Beijing, 100730, China.
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Wang ZJ, Hu X, Xie YF, Yao WJ, Deng L, Li ZQ, Pu MJ, Lv XN, Hu ZC, Zhang JT, Li Q. Prevalence of small vessel disease and incidental DWI-positive lesions in patients with aneurysmal subarachnoid hemorrhage versus intracerebral hemorrhage. Eur Stroke J 2024; 9:639-647. [PMID: 38372251 PMCID: PMC11418497 DOI: 10.1177/23969873241232327] [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: 10/17/2023] [Accepted: 01/25/2024] [Indexed: 02/20/2024] Open
Abstract
INTRODUCTION Aneurysmal subarachnoid hemorrhage (aSAH) and intracerebral hemorrhage (ICH) are main forms of hemorrhagic stroke. Data regarding cerebral small vessel disease (SVD) burden and incidental small lesions on diffusion-weighted imaging (DWI) following aSAH are sparse. PATIENTS AND METHODS We retrospectively analyzed a prospective cohort of aSAH and ICH patients with brain MRI within 30 days after onset from March 2015 to January 2023. White matter hyperintensity (WMH), lacune, perivascular space, cerebral microbleed (CMB), total SVD score, and incidental DWI lesions were assessed and compared between aSAH and ICH. Clinical and radiological characteristics associated with small DWI lesions in aSAH were investigated. RESULTS We included 180 patients with aSAH (median age [IQR] 53 [47-61] years) and 299 with ICH (63 [53-73] years). DWI lesions were more common in aSAH than ICH (47.8% vs 14.4%, p < 0.001). Higher total SVD score was associated with ICH versus aSAH irrespective of hematoma location, whereas DWI lesions and strictly lobar CMBs were correlated with aSAH. Multivariable analysis showed that shorter time from onset to MRI, anterior circulation aneurysm rupture, CMB ⩾ 5, and total SVD score were associated with DWI lesions in aSAH. DISCUSSION AND CONCLUSION Incidental DWI lesions and strictly lobar CMBs were more frequent in aSAH versus ICH whereas ICH had higher SVD burden. Incidental DWI lesions in aSAH were associated with multiple clinical and imaging factors. Longitudinal studies to investigate the dynamic change and prognostic value of the covert hemorrhagic and ischemic lesions in aSAH seem justified.
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Affiliation(s)
- Zi-Jie Wang
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiao Hu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yan-Fang Xie
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Wen-Jun Yao
- Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Lan Deng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zuo-Qiao Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ming-Jun Pu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xin-Ni Lv
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zi-Cheng Hu
- Department of Neurology, People’s Hospital of Hechuan, Chongqing, China
| | - Jiang-Tao Zhang
- Department of Neurology, Chengde Central Hospital, Chengde, Hebei, China
| | - Qi Li
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Cerebrovascular Disease Research, Chongqing, China
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Arenaza‐Urquijo EM, Boyle R, Casaletto K, Anstey KJ, Vila‐Castelar C, Colverson A, Palpatzis E, Eissman JM, Kheng Siang Ng T, Raghavan S, Akinci M, Vonk JMJ, Machado LS, Zanwar PP, Shrestha HL, Wagner M, Tamburin S, Sohrabi HR, Loi S, Bartrés‐Faz D, Dubal DB, Vemuri P, Okonkwo O, Hohman TJ, Ewers M, Buckley RF. Sex and gender differences in cognitive resilience to aging and Alzheimer's disease. Alzheimers Dement 2024; 20:5695-5719. [PMID: 38967222 PMCID: PMC11350140 DOI: 10.1002/alz.13844] [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: 11/08/2023] [Revised: 03/08/2024] [Accepted: 03/21/2024] [Indexed: 07/06/2024]
Abstract
Sex and gender-biological and social constructs-significantly impact the prevalence of protective and risk factors, influencing the burden of Alzheimer's disease (AD; amyloid beta and tau) and other pathologies (e.g., cerebrovascular disease) which ultimately shape cognitive trajectories. Understanding the interplay of these factors is central to understanding resilience and resistance mechanisms explaining maintained cognitive function and reduced pathology accumulation in aging and AD. In this narrative review, the ADDRESS! Special Interest Group (Alzheimer's Association) adopted a multidisciplinary approach to provide the foundations and recommendations for future research into sex- and gender-specific drivers of resilience, including a sex/gender-oriented review of risk factors, genetics, AD and non-AD pathologies, brain structure and function, and animal research. We urge the field to adopt a sex/gender-aware approach to resilience to advance our understanding of the intricate interplay of biological and social determinants and consider sex/gender-specific resilience throughout disease stages. HIGHLIGHTS: Sex differences in resilience to cognitive decline vary by age and cognitive status. Initial evidence supports sex-specific distinctions in brain pathology. Findings suggest sex differences in the impact of pathology on cognition. There is a sex-specific change in resilience in the transition to clinical stages. Gender and sex factors warrant study: modifiable, immune, inflammatory, and vascular.
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Affiliation(s)
- Eider M. Arenaza‐Urquijo
- Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health ProgrammeBarcelona Institute for Global Health (ISGlobal)BarcelonaSpain
- University of Pompeu FabraBarcelonaBarcelonaSpain
| | - Rory Boyle
- Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Kaitlin Casaletto
- Department of NeurologyMemory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Kaarin J. Anstey
- University of New South Wales Ageing Futures InstituteSydneyNew South WalesAustralia
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of Psychology, University of New South WalesSidneyNew South WalesAustralia
| | | | - Aaron Colverson
- University of Florida Center for Arts in Medicine Interdisciplinary Research LabUniversity of Florida, Center of Arts in MedicineGainesvilleFloridaUSA
| | - Eleni Palpatzis
- Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health ProgrammeBarcelona Institute for Global Health (ISGlobal)BarcelonaSpain
- University of Pompeu FabraBarcelonaBarcelonaSpain
| | - Jaclyn M. Eissman
- Vanderbilt Memory and Alzheimer's Center, Department of NeurologyVanderbilt University Medical CenterNashvilleTennesseeUSA
- Vanderbilt Genetics InstituteVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Ted Kheng Siang Ng
- Rush Institute for Healthy Aging and Department of Internal MedicineRush University Medical CenterChicagoIllinoisUSA
| | | | - Muge Akinci
- Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health ProgrammeBarcelona Institute for Global Health (ISGlobal)BarcelonaSpain
- University of Pompeu FabraBarcelonaBarcelonaSpain
| | - Jet M. J. Vonk
- Department of NeurologyMemory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Luiza S. Machado
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal Do Rio Grande Do Sul, FarroupilhaPorto AlegreBrazil
| | - Preeti P. Zanwar
- Jefferson College of Population Health, Thomas Jefferson UniversityPhiladelphiaPennsylvaniaUSA
- The Network on Life Course and Health Dynamics and Disparities, University of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Maude Wagner
- Rush Alzheimer's Disease Center, Rush University Medical CenterChicagoIllinoisUSA
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement SciencesUniversity of VeronaVeronaItaly
| | - Hamid R. Sohrabi
- Centre for Healthy AgeingHealth Future InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- School of Psychology, Murdoch UniversityMurdochWestern AustraliaAustralia
| | - Samantha Loi
- Neuropsychiatry Centre, Royal Melbourne HospitalParkvilleVictoriaAustralia
- Department of PsychiatryUniversity of MelbourneParkvilleVictoriaAustralia
| | - David Bartrés‐Faz
- Department of MedicineFaculty of Medicine and Health Sciences & Institut de NeurociènciesUniversity of BarcelonaBarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques (IDIBAPS)BarcelonaBarcelonaSpain
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autónoma de BarcelonaBadalonaBarcelonaSpain
| | - Dena B. Dubal
- Department of Neurology and Weill Institute of NeurosciencesUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Biomedical and Neurosciences Graduate ProgramsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | | | - Ozioma Okonkwo
- Alzheimer's Disease Research Center and Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer's Center, Department of NeurologyVanderbilt University Medical CenterNashvilleTennesseeUSA
- Vanderbilt Genetics InstituteVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Michael Ewers
- Institute for Stroke and Dementia ResearchKlinikum der Universität MünchenLudwig Maximilians Universität (LMU)MunichGermany
- German Center for Neurodegenerative Diseases (DZNE, Munich)MunichGermany
| | - Rachel F. Buckley
- Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
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Li C, Wang J, Han X, Li Y, Liu K, Zhao M, Gong T, Hou T, Wang Y, Cong L, Song L, Du Y. Development and validation of a diagnostic model for cerebral small vessel disease among rural older adults in China. Front Neurol 2024; 15:1388653. [PMID: 39036632 PMCID: PMC11258008 DOI: 10.3389/fneur.2024.1388653] [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: 02/21/2024] [Accepted: 06/26/2024] [Indexed: 07/23/2024] Open
Abstract
Objectives Cerebral small vessel disease (CSVD) visible on MRI can be asymptomatic. We sought to develop and validate a model for detecting CSVD in rural older adults. Methods This study included 1,192 participants in the MRI sub-study within the Multidomain Interventions to Delay Dementia and Disability in Rural China. Total sample was randomly divided into training set and validation set. MRI markers of CSVD were assessed following the international criteria, and total CSVD burden was assessed on a scale from 0 to 4. Logistic regression analyses were used to screen risk factors and develop the diagnostic model. A nomogram was used to visualize the model. Model performance was assessed using the area under the receiver-operating characteristic curve (AUC), calibration plot, and decision curve analysis. Results The model included age, high blood pressure, white blood cell count, neutrophil-to-lymphocyte ratio (NLR), and history of cerebral infarction. The AUC was 0.71 (95% CI, 0.67-0.76) in the training set and 0.69 (95% CI, 0.63-0.76) in the validation set. The model showed high coherence between predicted and observed probabilities in both the training and validation sets. The model had higher net benefits than the strategy assuming all participants either at high risk or low risk of CSVD for probability thresholds ranging 50-90% in the training set, and 65-98% in the validation set. Conclusion A model that integrates routine clinical factors could detect CSVD in older adults, with good discrimination and calibration. The model has implication for clinical decision-making.
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Affiliation(s)
- Chunyan Li
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jiafeng Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Xiaodong Han
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Yuanjing Li
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Keke Liu
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Mingqing Zhao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Tao Gong
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Tingting Hou
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Yongxiang Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Lin Cong
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Lin Song
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Yifeng Du
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
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Zhang D, Ma H, Liu C, Li Y. Relationship between morning blood pressure variability and cerebral microbleed burden in patients with hypertension. J Clin Hypertens (Greenwich) 2024; 26:665-673. [PMID: 38775194 PMCID: PMC11180696 DOI: 10.1111/jch.14831] [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: 09/16/2023] [Revised: 03/26/2024] [Accepted: 04/26/2024] [Indexed: 06/18/2024]
Abstract
Cerebral microbleeds (CMBs) can be understood as a type of target organ damage caused by hypertension. We aimed to explore the association of the CMB burden with morning blood pressure (BP) variability in patients with hypertension. We divided patients with hypertension into two groups: a group with 1-10 CMBs and a group with more than 10 CMBs. The duration, grade, medication, and control of hypertension were recorded in all patients. Morning home BP measurements were performed every 3 days for a month. A total of 791 patients were recruited. Full factor model analysis showed that higher morning home diastolic BP variability (standard deviation [SD], OR = 1.080, 95% CI: 1.024-1.140, P = .005; coefficient of variation [CV], OR = 1.076, 95% CI: 1.028-1.128, P = .002) was associated with more than 10 CMBs. Morning home systolic and diastolic blood pressure variability (SD, CV, average real variability) in more than 10 non-lobar CMBs group was significantly higher than that in 1-10 non-lobar CMBs group (P < .05).The multivariate analysis showed higher morning home diastolic blood pressure variability (SD, OR = 1.124, 95% CI: 1.031-1.224, P = .008; CV, OR = 1.099, 95% CI: 1.019-1.186, P = .015; average real variability, OR = 1.055, 95% CI: 0.995-1.120, P = .075) was associated with more than 10 non-lobar CMBs. There was no significant relationship between morning home systolic blood pressure variability and more than 10 non-lobar CMBs (P > .05). Higher morning home diastolic blood pressure variability was associated with more than 10 CMBs and more than 10 non-lobar CMBs.
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Affiliation(s)
- Dongsen Zhang
- Department of NeurologyTangshan GongRen HospitalTangshanChina
| | - Hongying Ma
- Department of NeurologyTangshan GongRen HospitalTangshanChina
| | - Chunqin Liu
- Department of NeurologyTangshan GongRen HospitalTangshanChina
| | - Yongqiu Li
- Department of NeurologyTangshan GongRen HospitalTangshanChina
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Huang WQ, Lin Q, Tzeng CM. Leukoaraiosis: Epidemiology, Imaging, Risk Factors, and Management of Age-Related Cerebral White Matter Hyperintensities. J Stroke 2024; 26:131-163. [PMID: 38836265 PMCID: PMC11164597 DOI: 10.5853/jos.2023.02719] [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: 08/18/2023] [Accepted: 01/15/2024] [Indexed: 06/06/2024] Open
Abstract
Leukoaraiosis (LA) manifests as cerebral white matter hyperintensities on T2-weighted magnetic resonance imaging scans and corresponds to white matter lesions or abnormalities in brain tissue. Clinically, it is generally detected in the early 40s and is highly prevalent globally in individuals aged >60 years. From the imaging perspective, LA can present as several heterogeneous forms, including punctate and patchy lesions in deep or subcortical white matter; lesions with periventricular caps, a pencil-thin lining, and smooth halo; as well as irregular lesions, which are not always benign. Given its potential of having deleterious effects on normal brain function and the resulting increase in public health burden, considerable effort has been focused on investigating the associations between various risk factors and LA risk, and developing its associated clinical interventions. However, study results have been inconsistent, most likely due to potential differences in study designs, neuroimaging methods, and sample sizes as well as the inherent neuroimaging heterogeneity and multi-factorial nature of LA. In this article, we provided an overview of LA and summarized the current knowledge regarding its epidemiology, neuroimaging classification, pathological characteristics, risk factors, and potential intervention strategies.
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Affiliation(s)
- Wen-Qing Huang
- Department of Central Laboratory, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Lin
- Department of Neurology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- Xiamen Clinical Research Center for Neurological Diseases, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- Fujian Provincial Clinical Research Center for Brain Diseases, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- The Third Clinical College, Fujian Medical University, Fuzhou, Fujian, China
| | - Chi-Meng Tzeng
- Translational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, China
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Meng Y, Wang S, Zhu W, Wang T, Liu D, Wang M, Pi J, Liu Y, Zhuo Z, Pan Y, Wang Y. Association of Mean Upper Cervical Spinal Cord Cross-Sectional Area With Cerebral Small Vessel Disease: A Community-Based Cohort Study. Stroke 2024; 55:687-695. [PMID: 38269540 DOI: 10.1161/strokeaha.123.044666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 12/13/2023] [Indexed: 01/26/2024]
Abstract
BACKGROUND The purpose of this study was to investigate the association between the mean upper cervical spinal cord cross-sectional area (MUCCA) and the risk and severity of cerebral small vessel disease (CSVD). METHODS Community-dwelling residents in Lishui City, China, from the cross-sectional survey in the PRECISE cohort study (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) conducted from 2017 to 2019. We included 1644 of 3067 community-dwelling adults in the PRECISE study after excluding those with incorrect, incomplete, insufficient, or missing clinical or imaging data. Total and modified total CSVD scores, as well as magnetic resonance imaging features, including white matter hyperintensity, lacunes, cerebral microbleeds, enlarged perivascular spaces, and brain atrophy, were assessed at the baseline. The Spinal Cord Toolbox was used to measure the upper cervical spinal cord cross-sectional area of the C1 to C3 segments of the spinal cord and its average value was taken as MUCCA. Participants were divided into 4 groups according to quartiles of MUCCA. Associations were analyzed using linear regression models adjusted for age, sex, current smoking and drinking, medical history, intracranial volume, and total cortical volume. RESULTS The means±SD age of the participants was 61.4±6.5 years, and 635 of 1644 participants (38.6%) were men. The MUCCA was smaller in patients with CSVD than those without CSVD. Using the total CSVD score as a criterion, the MUCCA was 61.78±6.12 cm2 in 504 of 1644 participants with CSVD and 62.74±5.94 cm2 in 1140 of 1644 participants without CSVD. Using the modified total CSVD score, the MUCCA was 61.81±6.04 cm2 in 699 of 1644 participants with CSVD and 62.91±5.94 cm2 in 945 of 1644 without CSVD. There were statistical differences between the 2 groups after adjusting for covariates in 3 models. The MUCCA was negatively associated with the total and modified total CSVD scores (adjusted β value, -0.009 [95% CI, -0.01 to -0.003] and -0.007 [95% CI, -0.01 to -0.0006]) after adjustment for covariates. Furthermore, the MUCCA was negatively associated with the white matter hyperintensity burden (adjusted β value, -0.01 [95% CI, -0.02 to -0.003]), enlarged perivascular spaces in the basal ganglia (adjusted β value, -0.005 [95% CI, -0.009 to -0.001]), lacunes (adjusted β value, -0.004 [95% CI, -0.007 to -0.0007]), and brain atrophy (adjusted β value, -0.009 [95% CI, -0.01 to -0.004]). CONCLUSIONS The MUCCA and CSVD were correlated. Spinal cord atrophy may serve as an imaging marker for CSVD; thus, small vessel disease may involve the spinal cord in addition to being intracranial.
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Affiliation(s)
- Yufei Meng
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
- Dongzhimen Hospital, Beijing University of Chinese Medicine, China (Y.M.)
| | - Suying Wang
- Department of Neurology and Cerebrovascular Research Laboratory, Lishui Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical University, Zhejiang, China (S.W.)
| | - Wanlin Zhu
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
| | - Tingting Wang
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (T.W., D.L., M.W., Y.P., Y.W.)
| | - Dandan Liu
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (T.W., D.L., M.W., Y.P., Y.W.)
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (T.W., D.L., M.W., Y.P., Y.W.)
| | - Jingtao Pi
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
| | - Yaou Liu
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
| | - Zhizheng Zhuo
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
- China National Clinical Research Center for Neurological Diseases, Beijing (T.W., D.L., M.W., Y.P., Y.W.)
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital (Y.M., W.Z., T.W., D.L., M.W., J.P., Y.L., Z.Z., Y.P., Y.W.), Capital Medical University, China
- Advanced Innovation Center for Human Brain Protection (Y.W.), Capital Medical University, China
- Beijing Laboratory of Oral Health (Y.W.), Capital Medical University, China
- Chinese Institute for Brain Research, Beijing, China (Y.W.)
- National Center for Neurological Diseases, Beijing, China (Y.W.)
- China National Clinical Research Center for Neurological Diseases, Beijing (T.W., D.L., M.W., Y.P., Y.W.)
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Qiao T, Tian H, Shan S, Shan L, Peng Z, Ke J, Li M, Wu Y, Han Y. Causal relationship between inflammatory factors and cerebral small vessel disease: Univariate, multivariate, and summary-data-based mendelian randomization analysis. Brain Behav 2024; 14:e3399. [PMID: 38340139 PMCID: PMC10858724 DOI: 10.1002/brb3.3399] [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: 09/30/2023] [Revised: 12/28/2023] [Accepted: 01/01/2024] [Indexed: 02/12/2024] Open
Abstract
OBJECTIVE To explore the impact of inflammatory factors on the incidence of cerebral small vessel disease (CSVD), we performed a mendelian randomization (MR) study to analyze the causal relationship between multiple inflammatory factors and CSVD imaging markers and utilized summary-data-based mendelian randomization (SMR) analysis to infer whether the impact of instrumental variables (IVs) on disease is mediated by gene expression or DNA methylation. METHODS Using public databases such as UKB and IEU, and original genome-wide association studies, we obtained IVs related to exposure (inflammatory factors) and outcome (CSVD imaging markers). We performed the inverse variance weighted, weighted median, and MR-Egger methods to assess causal effects between exposure and outcome in univariate MR analysis. To evaluate their heterogeneity, a series of sensitivity analyses were conducted, including the Cochrane Q test, MR-Egger intercept test, MR-Presso, and leave-one-out analysis. We also applied mediation and multivariate MR analysis to explore the interactions between positive exposures on the same outcome. Additionally, we conducted the SMR, which utilizes instruments within or near relevant genes in blood or brain tissues, to elucidate the causal associations with CSVD markers. RESULTS ABO Univariate MR of multiple cohorts revealed that the risk of small vessel stroke (SVS) increases with elevated levels of TNF-related apoptosis-inducing ligand (TRAIL, OR, 1.23, 95% CI, 1.08-1.39) and interleukin-1 receptor-like 2, (IL-1RL2, OR, 1.29, 95% CI, 1.04-1.61). IL-18 was a potential risk factor for extensive basal ganglia perivascular space burden (BGPVS, OR, 1.02, 95% CI, 1.00-1.05). Moreover, the risk of extensive white matter perivascular space burden (WMPVS) decreased with rising levels of E-selectin (OR, .98, 95% CI, .97-1.00), IL-1RL2 (OR, .97, 95% CI, .95-1.00), IL-3 receptor subunit alpha (IL-3Ra, OR, .98, 95% CI, .97-1.00), and IL-5 receptor subunit alpha (IL-5Ra, OR, .98, 95% CI, .97-1.00). Mediation and multivariate MR analysis indicated that E-selectin and IL-3Ra might interact during the pathogenesis of WMPVS. SMR estimates showed that TRAIL-related IVs rs5030044 and rs2304456 increased the risk of SVS by increasing the expression of gene Kininogen-1 (KNG1) in the cerebral cortex, particularly in the frontal cortex (βsmr = .10, Psmr = .003, FDR = .04). Instruments (rs507666 and rs2519093) related to E-selectin and IL-3Ra could increase the risk of WMPVS by enhancing DNA methylation of the gene ABO in blood tissue (βsmr = .01-.02, Psmr = .001, FDR = .01-.03). CONCLUSION According to MR and SMR analysis, higher levels of TRAIL increased the risk of SVS by upregulating gene expression of KNG1 in brain cortex tissues. In addition, protective effects of E-selectin and IL-3a levels on WMPVS were regulated by increased DNA methylation of gene ABO in blood tissue.
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Affiliation(s)
- Tian‐Ci Qiao
- Department of NeurologyYueyang Hospital of Integrated Traditional Chinese and Western MedicineShanghaiChina
- Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Hao‐Yu Tian
- Department of NeurologyYueyang Hospital of Integrated Traditional Chinese and Western MedicineShanghaiChina
- Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Shi‐Zhe Shan
- Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijingChina
| | - Li‐Li Shan
- Department of NeurologyYueyang Hospital of Integrated Traditional Chinese and Western MedicineShanghaiChina
| | - Zheng‐Yu Peng
- Department of NeurologyYueyang Hospital of Integrated Traditional Chinese and Western MedicineShanghaiChina
- Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Jia Ke
- Taihe HospitalHubei University of MedicineShiyanHubeiChina
| | - Meng‐Ting Li
- Department of NeurologyYueyang Hospital of Integrated Traditional Chinese and Western MedicineShanghaiChina
- Shanghai University of Traditional Chinese MedicineShanghaiChina
| | - Yang Wu
- Department of NeurologyYueyang Hospital of Integrated Traditional Chinese and Western MedicineShanghaiChina
| | - Yan Han
- Department of NeurologyYueyang Hospital of Integrated Traditional Chinese and Western MedicineShanghaiChina
- Shanghai University of Traditional Chinese MedicineShanghaiChina
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Wei HL, Wei C, Yu YS, Yu X, Chen Y, Li J, Zhang H, Chen X. Dysfunction of the triple-network model is associated with cognitive impairment in patients with cerebral small vessel disease. Heliyon 2024; 10:e24701. [PMID: 38298689 PMCID: PMC10828708 DOI: 10.1016/j.heliyon.2024.e24701] [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: 05/05/2023] [Revised: 11/29/2023] [Accepted: 01/12/2024] [Indexed: 02/02/2024] Open
Abstract
Purpose This study aimed to demonstrate the correlations between the altered functional connectivity patterns in the triple-network model and cognitive impairment in patients with cerebral small vascular disease (CSVD). Methods Resting-state functional magnetic resonance imaging data were obtained from 22 patients with CSVD and 20 healthy controls. The resting-state data were analyzed using independent component analysis and functional network connectivity (FNC) analysis to explore the functional alterations in the intrinsic triple-network model including the salience network (SN), default mode network (DMN), and central executive network (CEN), and their correlations with the cognitive deficits and clinical observations in the patients with CSVD. Results Compared to the healthy controls, the patients with CSVD exhibited increased connectivity patterns in the CEN-DMN and decreased connectivity patterns in the DMN-SN, CEN-SN, intra-SN, and intra-DMN. Significant negative correlations were detected between the intra-DMN connectivity pattern and the Montreal Cognitive Assessment (MoCA) total scores (r = -0.460, p = 0.048) and MoCA abstraction scores (r = -0.565, p = 0.012), and a positive correlation was determined between the intra-SN connectivity pattern and the MoCA abstraction scores (r = 0.491, p = 0.033). Conclusions Our study findings suggest that the functional alterations in the triple-network model are associated with the cognitive deficits in patients with CSVD and shed light on the importance of the triple-network model in the pathogenesis of CSVD.
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Affiliation(s)
- Heng-Le Wei
- Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, Jiangsu, PR China
| | - Cunsheng Wei
- Department of Neurology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, Jiangsu, PR China
| | - Yu-Sheng Yu
- Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, Jiangsu, PR China
| | - Xiaorong Yu
- Department of Neurology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, Jiangsu, PR China
| | - Yuan Chen
- Department of Neurology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, Jiangsu, PR China
| | - Junrong Li
- Department of Neurology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, Jiangsu, PR China
| | - Hong Zhang
- Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, Jiangsu, PR China
| | - Xuemei Chen
- Department of Neurology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, Jiangsu, PR China
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Mu S, Lu W, Yu G, Zheng L, Qiu J. Deep learning-based grading of white matter hyperintensities enables identification of potential markers in multi-sequence MRI data. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 243:107904. [PMID: 37924768 DOI: 10.1016/j.cmpb.2023.107904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 10/06/2023] [Accepted: 10/27/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND White matter hyperintensities (WMHs) are widely-seen in the aging population, which are associated with cerebrovascular risk factors and age-related cognitive decline. At present, structural atrophy and functional alterations coexisted with WMHs lacks comprehensive investigation. This study developed a WMHs risk prediction model to evaluate WHMs according to Fazekas scales, and to locate potential regions with high risks across the entire brain. METHODS We developed a WMHs risk prediction model, which consisted of the following steps: T2 fluid attenuated inversion recovery (T2-FLAIR) image of each participant was firstly segmented into 1000 tiles with the size of 32 × 32 × 1, features from the tiles were extracted using the ResNet18-based feature extractor, and then a 1D convolutional neural network (CNN) was used to score all tiles based on the extracted features. Finally, a multi-layer perceptron (MLP) was constructed to predict the Fazekas scales based on the tile scores. The proposed model was trained using T2-FLAIR images, we selected tiles with abnormal scores in the test set after prediction, and evaluated their corresponding gray matter (GM) volume, white matter (WM) volume, fractional anisotropy (FA), mean diffusivity (MD), and cerebral blood flow (CBF) via longitudinal and multi-sequence Magnetic Resonance Imaging (MRI) data analysis. RESULTS The proposed WMHs risk prediction model could accurately predict the Fazekas ratings based on the tile scores from T2-FLAIR MRI images with accuracy of 0.656, 0.621 in training data set and test set, respectively. The longitudinal MRI validation revealed that most of the high-risk tiles predicted by the WMHs risk prediction model in the baseline images had WMHs in the corresponding positions in the longitudinal images. The validation on multi-sequence MRI demonstrated that WMHs were associated with GM and WM atrophies, WM micro-structural and perfusion alterations in high-risk tiles, and multi-modal MRI measures of most high-risk tiles showed significant associations with Mini Mental State Examination (MMSE) score. CONCLUSION Our proposed WMHs risk prediction model can not only accurately evaluate WMH severities according to Fazekas scales, but can also uncover potential markers of WMHs across modalities. The WMHs risk prediction model has the potential to be used for the early detection of WMH-related alterations in the entire brain and WMH-induced cognitive decline.
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Affiliation(s)
- Si Mu
- College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong, 271000, China
| | - Weizhao Lu
- Department of Radiology, the Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China
| | - Guanghui Yu
- Department of Radiology, the Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China
| | - Lei Zheng
- Department of Radiology, Rushan Hospital of Chinese Medicine, Rushan, Shandong, 264500, China.
| | - Jianfeng Qiu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medicine Sciences, Tai'an, Shandong, 271000, China; Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China.
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Scheuermann BC, Parr SK, Schulze KM, Kunkel ON, Turpin VG, Liang J, Ade CJ. Associations of Cerebrovascular Regulation and Arterial Stiffness With Cerebral Small Vessel Disease: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2023; 12:e032616. [PMID: 37930079 PMCID: PMC10727345 DOI: 10.1161/jaha.123.032616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 10/24/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Cerebral small vessel disease (cSVD) is a major contributing factor to ischemic stroke and dementia. However, the vascular pathologies of cSVD remain inconclusive. The aim of this systematic review and meta-analysis was to characterize the associations between cSVD and cerebrovascular reactivity (CVR), cerebral autoregulation, and arterial stiffness (AS). METHODS AND RESULTS MEDLINE, Web of Science, and Embase were searched from inception to September 2023 for studies reporting CVR, cerebral autoregulation, or AS in relation to radiological markers of cSVD. Data were extracted in predefined tables, reviewed, and meta-analyses performed using inverse-variance random effects models to determine pooled odds ratios (ORs). A total of 1611 studies were identified; 142 were included in the systematic review, of which 60 had data available for meta-analyses. Systematic review revealed that CVR, cerebral autoregulation, and AS were consistently associated with cSVD (80.4%, 78.6%, and 85.4% of studies, respectively). Meta-analysis in 7 studies (536 participants, 32.9% women) revealed a borderline association between impaired CVR and cSVD (OR, 2.26 [95% CI, 0.99-5.14]; P=0.05). In 37 studies (27 952 participants, 53.0% women) increased AS, per SD, was associated with cSVD (OR, 1.24 [95% CI, 1.15-1.33]; P<0.01). Meta-regression adjusted for comorbidities accounted for one-third of the AS model variance (R2=29.4%, Pmoderators=0.02). Subgroup analysis of AS studies demonstrated an association with white matter hyperintensities (OR, 1.42 [95% CI, 1.18-1.70]; P<0.01). CONCLUSIONS The collective findings of the present systematic review and meta-analyses suggest an association between cSVD and impaired CVR and elevated AS. However, longitudinal investigations into vascular stiffness and regulatory function as possible risk factors for cSVD remain warranted.
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Affiliation(s)
| | - Shannon K. Parr
- Department of KinesiologyKansas State UniversityManhattanKSUSA
| | | | | | | | - Jia Liang
- Department of Biostatistics, St. Jude Children’s Research HospitalMemphisTNUSA
| | - Carl J. Ade
- Department of KinesiologyKansas State UniversityManhattanKSUSA
- Department of Physician’s Assistant Studies, Kansas State UniversityManhattanKSUSA
- Johnson Cancer Research CenterKansas State UniversityManhattanKSUSA
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Silva AR, Santos I, Fernandes C, Silva C, Pereira D, Galego O, Queiroz H, Almeida MDR, Baldeiras I, Santo G. The relevance of the socio-emotional deficits in cerebral small vessels disease (CSVD): An exploratory study with sporadic CSVD and CADASIL patients. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 5:100186. [PMID: 38162294 PMCID: PMC10757198 DOI: 10.1016/j.cccb.2023.100186] [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: 04/19/2023] [Revised: 09/03/2023] [Accepted: 09/25/2023] [Indexed: 01/03/2024]
Abstract
Background Cerebral Small Vessels Disease (CSVD) is categorized in different forms, the most common being the sporadic form and a genetic variant - Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). Amongst the most frequent clinical manifestations are the neuropsychological changes of cognitive, behavioral, and emotional nature, whose features are still under debate. Objective This exploratory study aimed to compare the neuropsychological profile of a sporadic CSVD sample and a CADASIL sample with an age, education, and gender matched control group, between the ages of 30-65 YO (total sample mean age=51.16; SD=4.31). Methods 20 patients with sporadic CSVD, 20 patients with CADASIL and 20 matched controls completed a neuropsychological assessment battery. Global cognitive state, processing speed, working memory, attention, executive dysfunction, episodic memory, social cognition, impulsivity, apathy, alexithymia, depression, and anxiety were measured. White matter hyperintensities (WMH) volume were quantified and measured as lesion burden. Results The cognitive differences found between the clinical groups combined (after confirming no differences between the two clinical groups) and matched controls were restricted to speed processing scores (d = 0.32 95 % CI [.12-.47]). The socio-emotional and behavioral profile revealed significantly higher levels of depression (d = 0.21, 95 % CI [.16-.33]). and anxiety (d = 0.25 95 % CI [.19-.32]) in CADASIL and sporadic CSVD groups, and the same for the alexithymia score (d = 0.533 95 % CI [.32-.65]) were the clinical groups revealed impoverished emotional processing compared to controls. WMH only significantly correlated with the cognitive changes and age. Conclusions In our study, CADASIL and sporadic cSVD patients combined, present multiple emotional-behavioral symptoms - alexithymia, anxiety, depression, and in a lower extent apathy and impulsivity - suggesting for the presence of emotion dysregulation behaviors, present independently of age and of the presence of cognitive deficits. Despite of the small sample size that could underpower some findings, this exploratory research supported that these symptoms may have a significant impact in disease monitoring, progression, and prognosis, requiring further investigation regarding their neurophysiological substrates.
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Affiliation(s)
- Ana Rita Silva
- CINEICC – Center for Research in Neuropsychology and Cognitive Behavioral Interventions of the University of Coimbra, Colegio Novo Street, N/A, Coimbra 3000-115, Portugal
| | - Irina Santos
- Neurology Department, Academic and Clinical Centre – Coimbra University Hospitals, Coimbra, Portugal
| | - Carolina Fernandes
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra, CNC-CIBB, Coimbra, Portugal
| | - Cristiana Silva
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra, CNC-CIBB, Coimbra, Portugal
| | - Daniela Pereira
- Neurorradiology Functional Unit, Coimbra University Hospitals, Coimbra, Portugal
| | - Orlando Galego
- Neurorradiology Functional Unit, Coimbra University Hospitals, Coimbra, Portugal
| | - Henrique Queiroz
- Neurorradiology Functional Unit, Coimbra University Hospitals, Coimbra, Portugal
| | | | - Inês Baldeiras
- Faculty of Medicine of the University of Coimbra, Coimbra, Portugal
| | - Gustavo Santo
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra, CNC-CIBB, Coimbra, Portugal
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Yang Y, Cai X, Zhou M, Chen Y, Pi J, Zhao M, Shi Y, Wang S, Jing J, Chen W, Meng X, Wang Y, Pan Y, Wang Y. Prevalence and Risk Factors of Cerebral Small Vessel Disease from a Population-Based Cohort in China. Neuroepidemiology 2023; 57:413-422. [PMID: 37734325 DOI: 10.1159/000533678] [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: 02/12/2023] [Accepted: 07/25/2023] [Indexed: 09/23/2023] Open
Abstract
INTRODUCTION Cerebral small vessel disease (CSVD) is a significant burden of morbidity and mortality among elderly people around the world. Epidemiological data with complete CSVD evaluations and a large sample size in the general population are still limited. METHODS Community-dwelling residents in Lishui city in China from the cross-sectional survey of the Polyvascular Evaluation for Cognitive Impairment and Vascular Events (PRECISE) study were included in this study from 2017 to 2019. All participants underwent 3 Tesla brain magnetic resonance images to assess CSVD imaging markers. Demographic and risk factor data were collected. The general and age-specific prevalence of lacune, confluent white matter hyperintensity (WMH), moderate-severe enlarged perivascular spaces (EPVS), cerebral microbleed (CMB), and total CSVD score (an ordinal scale from 0 to 4, counting the presence of four imaging markers of CSVD) was evaluated. Associations between vascular risk factors and these markers were analyzed by multivariable logistic regression. RESULTS A total of 3,063 participants were enrolled. The mean age was 61.2 years and 46.5% were men. The most prevalent CSVD marker was confluent WMH (16.7%), followed by CMB (10.2%), moderate-severe EPVS in the basal ganglia (BG-EPVS) (9.8%), and lacune (5.6%). 30.5% of the participants have at least one of the four markers (total CSVD score ≥1 points). The prevalence of CSVD markers increases as age increases. Age and hypertension were independent risk factors for four CSVD markers and the total CSVD score. CONCLUSIONS In this Chinese cohort with community-based adults aged 50-75 years, our findings showed a prevalence of 30.5% for CSVD. The most prevalent CSVD marker was confluent WMH, followed by CMB, moderate-severe BG-EPVS, and lacune. The risk factors for CSVD must be strictly screened and controlled in adults living in the community.
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Affiliation(s)
- Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China,
- China National Clinical Research Center for Neurological Diseases, Beijing, China,
| | - Xueli Cai
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Mengyuan Zhou
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yiyi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jingtao Pi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Mengxi Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yulu Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Weiqi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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15
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Wang J, Li J, Luo D, Huang M, Ao D, Liu X, Wang X, Ge W, Zhu Y. Extracellular Vesicles Play a Central Role in Cerebral Venous Disease-Associated Brain Atrophy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301574. [PMID: 37438638 PMCID: PMC10520650 DOI: 10.1002/advs.202301574] [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: 03/10/2023] [Revised: 06/17/2023] [Indexed: 07/14/2023]
Abstract
Cerebral venous abnormalities, distinct from traditional arterial diseases, have been linked to brain atrophy in a previous community-based cohort study, specifically in relation to the reduction of deep medullary veins (r-DMVs). To better understand the properties and biological functions of serum extracellular vesicles (EVs) in cerebral venous disease-associated brain atrophy, EVs are extracted from the serum of both participants with r-DMV and normal controls and analyzed their proteomic profiles using Tandem Mass Tag label quantitation analysis. Phenotypic experiments showed that EVs from individuals with r-DMVs are able to disrupt the normal functions of neurons, endothelial cells, and smooth muscle cells, and induce A1 reactive astrocytes. Additionally, this study provided a comprehensive characterization of the proteomic profile of DMV EVs and found that the collagen hydroxyproline is upregulated, while complement C3 is downregulated in the r-DMV group, suggesting that r-DMV may not be a simple pathological phenomenon and highlighting the potential involvement of EVs in the progression of brain atrophy in r-DMVs which has implications for the development of future therapeutic strategies.
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Affiliation(s)
- Jia‐Yu Wang
- Department of NeurologyState Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100730China
- Department of ImmunologyInstitute of Basic Medical Sciences Chinese Academy of Medical SciencesSchool of Basic Medicine Peking Union Medical CollegeBeijing100005China
- Department of Histology and EmbryologyBasic Medical CollegeChina Medical UniversityShenyang110122China
| | - Jing‐Ying Li
- Department of ImmunologyInstitute of Basic Medical Sciences Chinese Academy of Medical SciencesSchool of Basic Medicine Peking Union Medical CollegeBeijing100005China
| | - Dan Luo
- Department of ImmunologyInstitute of Basic Medical Sciences Chinese Academy of Medical SciencesSchool of Basic Medicine Peking Union Medical CollegeBeijing100005China
| | - Mei‐Ying Huang
- Department of NeurologyState Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100730China
| | - Dong‐Hui Ao
- Department of NeurologyState Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100730China
| | - Xin‐nan Liu
- Department of ImmunologyInstitute of Basic Medical Sciences Chinese Academy of Medical SciencesSchool of Basic Medicine Peking Union Medical CollegeBeijing100005China
| | - Xia Wang
- Department of ImmunologyInstitute of Basic Medical Sciences Chinese Academy of Medical SciencesSchool of Basic Medicine Peking Union Medical CollegeBeijing100005China
| | - Wei Ge
- Department of ImmunologyInstitute of Basic Medical Sciences Chinese Academy of Medical SciencesSchool of Basic Medicine Peking Union Medical CollegeBeijing100005China
| | - Yi‐Cheng Zhu
- Department of NeurologyState Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100730China
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16
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Tajmirriahi M, Saadatnia M, Shemirani H, Sadeghi M, Chamasemani A, Safaei A. The Incidence of Cardiovascular Events in Small Versus Large Ischemic Stroke; A Three-Year Cohort Study. ARYA ATHEROSCLEROSIS 2023; 19:35-42. [PMID: 38882650 PMCID: PMC11178998 DOI: 10.48305/arya.2023.26660.2820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 05/16/2023] [Indexed: 06/18/2024]
Abstract
INTRODUCTION Cerebral ischemia and coronary artery disease (CAD), the major leading causes of mortality and morbidity worldwide, are pathophysiologically interrelated. Cerebral ischemic events are categorized as large or small vessels disease. The current study compares the factors related to CAD events incidence following ischemic large versus small disease CVA. METHOD The current cohort study was conducted on 225 patients with ischemic stroke in two groups of large (n=75) and small (n=150) vessel disease during 2018-19. The patients' demographic, medical, and clinical characteristics were recruited. They were followed for three years regarding the incidence of CAD events, including ST-elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI), unstable angina (UA), and sudden cardiac death (SCD). Data about the coronary angiography, computed tomography angiography (CTA), Single Photon Emission Computed Tomography (SPECT), and the therapeutic approach were gathered. RESULTS There were insignificant differences between the patients with small versus large vessels CVA in terms of ACS incidence (P-value=0.105), type of the events (P-value=0.836), angiographic (P-value=0.671), SPECT (P-value=0.99) and CTA findings (P-value>0.99) and approached CAD (P-value=0.728). Cox regression assessments revealed an increased risk of CAD events due to large versus small vessels disease after adjustments for hypertension, diabetes mellitus, dyslipidemia, re-stroke, and the previous history of IHD (HR=2.005, 95%CI: 1.093-2.988, P-value=0.021). CONCLUSION According to the findings of this study, large-vessel involvement in an ischemic stroke was associated with more than a two-fold increase in the three-year probability of ischemic heart disease incidencet.
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Affiliation(s)
- Marzieh Tajmirriahi
- Hypertension Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Saadatnia
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hasan Shemirani
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Masoumeh Sadeghi
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Chamasemani
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ali Safaei
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute; Isfahan University of Medical Sciences; Isfahan; Iran
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17
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Zhao W, Cheng B, Zhu T, Cui Y, Shen Y, Fu X, Li M, Feng Y, Zhang S. Effects of white matter hyperintensity on cognitive function in PD patients: a meta-analysis. Front Neurol 2023; 14:1203311. [PMID: 37621858 PMCID: PMC10445042 DOI: 10.3389/fneur.2023.1203311] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/27/2023] [Indexed: 08/26/2023] Open
Abstract
Background Parkinson's disease (PD) is often accompanied by cognitive dysfunction, which imposes a heavy burden on patients, their families, and society. Early identification and intervention are particularly important, but reliable biomarkers for identifying PD-related cognitive impairment at an early stage are currently lacking. Although numerous clinical studies have investigated the association between brain white matter hyperintensity (WMH) and cognitive decline, the findings regarding the relationships between WMH and cognitive dysfunction in PD patients have been inconsistent. Therefore, this study aims to conduct a meta-analysis of the effect of WMH on PD cognitive function. Methods This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. We systematically searched relevant literature from databases such as PubMed, Web of Science, EMBASE, CNKI, and CBM. The retrieval time was limited to database records created up until December 31, 2022. Additionally, we manually retrieved references for full-text reading. Statistical data analysis was performed using RevMan 5.3 and Stata 15.0 software. Results This study encompassed 23 individual studies and involved 2,429 patients with PD. The group of PD with mild cognitive impairment (PD-MCI) exhibited a significantly higher overall level of WMH than the group of PD with normal cognitive function (PD-NC) (SMD = 0.37, 95% CI: 0.21-0.52, p < 0.01). This finding was consistent across subgroup analyses based on different ethnicities (Asian or Caucasian), WMH assessment methods (visual rating scale or volumetry), and age matching. In addition to the overall differences in WMH load between the PD-MCI and PD-NC groups, the study found that specific brain regions, including periventricular white matter hyperintensity (PVH) and deep white matter hyperintensity (DWMH), had significantly higher WMH load in the PD-MCI group compared to the PD-NC group. The study also conducted a meta-analysis of WMH load data for PD with dementia (PDD) and PD without dementia (PDND), revealing that the overall WMH load in the PDD group was significantly higher than that in the PDND group (SMD = 0.98, 95% CI: 0.56-1.41, p < 0.01). This finding was consistent across subgroup analyses based on different ethnicities and age matching. Moreover, regarding specific brain regions (PVH or DWMH), the study found that the PDD group had significantly higher WMH load than the PDND group (p < 0.01). Conclusion WMH was associated with PD cognitive dysfunction. The early appearance of WMH may indicate PD with MCI.
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Affiliation(s)
- Wenhao Zhao
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Bo Cheng
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Tao Zhu
- Department of Preventive Medicine, North Sichuan Medical College, Nanchong, China
| | - Yingjuan Cui
- Department of Nursing, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Yao Shen
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Xudong Fu
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Maogeng Li
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Yuliang Feng
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
| | - Shushan Zhang
- Department of Neurology, Affiliated Hospital of Medical College, North Sichuan Medical College, Nanchong, China
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18
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Tan SM, Ho JS, Sia CH, Leow AS, Seet RC, Teoh HL, Yuen LZ, Tham CH, Chua CY, Yap ES, Chan BP, Lim MJ, Sharma VK, Yeo LL, Tu TM, Tan BY. Etiologies, mechanisms, and risk factors of ischemic stroke in a young Asian adult cohort. J Stroke Cerebrovasc Dis 2023; 32:107134. [PMID: 37172470 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107134] [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: 10/02/2022] [Revised: 03/18/2023] [Accepted: 04/09/2023] [Indexed: 05/15/2023] Open
Abstract
OBJECTIVES Risk factors and causes of acute ischemic stroke (AIS) are more diverse in young adults, and traditional stroke classifications may be inadequate. Precise characterisation of AIS is important for guiding management and prognostication. We describe stroke subtypes, risk factors and etiologies for AIS in a young Asian adult population. MATERIALS AND METHODS Young AIS patients aged 18-50 years admitted to two comprehensive stroke centres from 2020-2022 were included. Stroke etiologies and risk factors were adjudicated using Trial of Org 10172 in Acute Stroke Treatment (TOAST) and International Pediatric Stroke Study (IPSS) risk factors. Potential embolic sources (PES) were identified in a subgroup with embolic stroke of undetermined source (ESUS). These were compared across sex, ethnicities and age groups (18-39 years versus 40-50 years). RESULTS A total of 276 AIS patients were included, with mean age 43±5.7 years and 70.3% male. Median duration of follow-up was 5 months (IQR: 3-10). The most common TOAST subtypes were small-vessel disease (32.6%) and undetermined etiology (24.6%). IPSS risk factors were identified in 95% of all patients and 90% with undetermined etiology. IPSS risk factors included atherosclerosis (59.5%), cardiac disorders (18.7%), prothrombotic states (12.4%) and arteriopathy (7.7%). In this cohort, 20.3% had ESUS, of which 73.2% had at least one PES, which increased to 84.2% in those <40 years old. CONCLUSIONS Young adults have diverse risk factors and causes of AIS. IPSS risk factors and ESUS-PES construct are comprehensive classification systems that may better reflect heterogeneous risk factors and etiologies in young stroke patients.
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Affiliation(s)
- Sarah Ml Tan
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | - Jamie Sy Ho
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | - Ching-Hui Sia
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore
| | - Aloysius S Leow
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | - Raymond Cs Seet
- Division of Neurology, Department of Medicine, National University Hospital, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore
| | - Hock Luen Teoh
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | - Linus Zh Yuen
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore
| | - Carol Huilian Tham
- Department of Neurology, National Neuroscience Institute, SingHealth, Singapore
| | - Christopher Yk Chua
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | - Eng Soo Yap
- Department of Laboratory Medicine, National University Hospital, Singapore
| | - Bernard Pl Chan
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | - Mervyn Jr Lim
- Division of Neurosurgery, Department of Surgery, National University Hospital, Singapore
| | - Vijay K Sharma
- Division of Neurology, Department of Medicine, National University Hospital, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore
| | - Leonard Ll Yeo
- Division of Neurology, Department of Medicine, National University Hospital, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore
| | - Tian Ming Tu
- Department of Neurology, National Neuroscience Institute, SingHealth, Singapore
| | - Benjamin Yq Tan
- Division of Neurology, Department of Medicine, National University Hospital, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore.
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Zhu Z, Vanderschelden B, Lee SJ, Blackwill H, Shafie M, Soun JE, Chow D, Chang P, Stradling D, Qian T, Yu W. Methamphetamine use increases the risk of cerebral small vessel disease in young patients with acute ischemic stroke. Sci Rep 2023; 13:8494. [PMID: 37231082 DOI: 10.1038/s41598-023-35788-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/24/2023] [Indexed: 05/27/2023] Open
Abstract
Methamphetamine use causes spikes in blood pressure. Chronic hypertension is a major risk factor for cerebral small vessel disease (cSVD). The aim of this study is to investigate whether methamphetamine use increases the risk of cSVD. Consecutive patients with acute ischemic stroke at our medical center were screened for methamphetamine use and evidence of cSVD on MRI of the brain. Methamphetamine use was identified by self-reported history and/or positive urine drug screen. Propensity score matching was used to select non-methamphetamine controls. Sensitivity analysis was performed to assess the effect of methamphetamine use on cSVD. Among 1369 eligible patients, 61 (4.5%) were identified to have a history of methamphetamine use and/or positive urine drug screen. Compared with the non-methamphetamine group (n = 1306), the patients with methamphetamine abuse were significantly younger (54.5 ± 9.7 vs. 70.5 ± 12.4, p < 0.001), male (78.7% vs. 54.0%, p < 0.001) and White (78.7% vs. 50.4%, p < 0.001). Sensitivity analysis showed that methamphetamine use was associated with increased white matter hyperintensities, lacunes, and total burden of cSVD. The association was independent of age, sex, concomitant cocaine use, hyperlipidemia, acute hypertension, and stroke severity. Our findings suggest that methamphetamine use increases the risk of cSVD in young patients with acute ischemic stroke.
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Affiliation(s)
- Zhu Zhu
- Department of Neurology, University of California Irvine, 200 S. Manchester Ave. Suite 206, Orange, CA, 92868, USA
| | - Benjamin Vanderschelden
- Department of Neurology, University of California Irvine, 200 S. Manchester Ave. Suite 206, Orange, CA, 92868, USA
| | - Sook Joung Lee
- Department of Neurology, University of California Irvine, 200 S. Manchester Ave. Suite 206, Orange, CA, 92868, USA
- Department of Physical Medicine and Rehabilitation, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Haley Blackwill
- Department of Neurology, University of California Irvine, 200 S. Manchester Ave. Suite 206, Orange, CA, 92868, USA
| | - Mohammad Shafie
- Department of Neurology, University of California Irvine, 200 S. Manchester Ave. Suite 206, Orange, CA, 92868, USA
| | - Jennifer E Soun
- Department of Radiological Science, University of California, Irvine, CA, USA
| | - Daniel Chow
- Department of Radiological Science, University of California, Irvine, CA, USA
| | - Peter Chang
- Department of Radiological Science, University of California, Irvine, CA, USA
| | - Dana Stradling
- Department of Neurology, University of California Irvine, 200 S. Manchester Ave. Suite 206, Orange, CA, 92868, USA
| | - Tianchen Qian
- Department of Statistics, University of California, Irvine, CA, USA
| | - Wengui Yu
- Department of Neurology, University of California Irvine, 200 S. Manchester Ave. Suite 206, Orange, CA, 92868, USA.
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Zheng K, Wang Z, Chen X, Chen J, Fu Y, Chen Q. Analysis of Risk Factors for White Matter Hyperintensity in Older Adults without Stroke. Brain Sci 2023; 13:brainsci13050835. [PMID: 37239307 DOI: 10.3390/brainsci13050835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 05/11/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND White matter hyperintensity (WMH) is prevalent in older adults aged 60 and above. A large proportion of people with WMH have not experienced stroke and little has been reported in the literature. METHODS The case data of patients aged ≥60 years without stroke in Wuhan Tongji Hospital from January 2015 to December 2019 were retrospectively analyzed. It was a cross-sectional study. Univariate analysis and logistic regression were used to analyze independent risk factors for WMH. The severity of WMH was assessed using the Fazekas scores. The participants with WMH were divided into periventricular white matter hyperintensity (PWMH) group and deep white matter hyperintensity (DWMH) group, then the risk factors of WMH severity were explored separately. RESULTS Eventually, 655 patients were included; among the patients, 574 (87.6%) were diagnosed with WMH. Binary logistic regression showed that age and hypertension were associated with the prevalence of WMH. Ordinal logistic regression showed that age, homocysteine, and proteinuria were associated with the severity of WMH. Age and proteinuria were associated with the severity of PWMH. Age and proteinuria were associated with the severity of DWMH. CONCLUSIONS The present study showed that in patients aged ≥60 years without stroke, age and hypertension were independent risk factors for the prevalence of WMH; while the increasing of age, homocysteine, and proteinuria were associated with greater WMH burden.
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Affiliation(s)
- Kai Zheng
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan 430030, China
| | - Zheng Wang
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan 430030, China
| | - Xi Chen
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan 430030, China
| | - Jiajie Chen
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan 430030, China
| | - Yu Fu
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan 430030, China
| | - Qin Chen
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan 430030, China
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21
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Yang D, Li J, Ke Z, Qin R, Mao C, Huang L, Mo Y, Hu Z, Lv W, Huang Y, Zhang B, Xu Y. Subsystem mechanisms of default mode network underlying white matter hyperintensity-related cognitive impairment. Hum Brain Mapp 2023; 44:2365-2379. [PMID: 36722495 PMCID: PMC10028636 DOI: 10.1002/hbm.26215] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/09/2023] [Accepted: 01/10/2023] [Indexed: 02/02/2023] Open
Abstract
Functional changes of default mode network (DMN) have been proven to be closely associated with white matter hyperintensity (WMH) related cognitive impairment (CI). However, subsystem mechanisms of DMN underlying WMH-related CI remain unclear. The present study recruited WMH patients (n = 206) with mild CI and normal cognition, as well as healthy controls (HC, n = 102). Static/dynamic functional connectivity (FC) of the DMN's three subsystems were calculated using resting-state functional MRI. K-means clustering analyses were performed to extract distinct dynamic connectivity states. Compared with the WMH-NC group, the WMH-MCI group displayed lower static FC within medial temporal lobe (MTL) and core subsystem, between core-MTL subsystem, as well as between core and dorsal medial prefrontal cortex subsystem. All these static alterations were positively associated with information processing speed (IPS). Regarding dynamic FC, the WMH-MCI group exhibited higher dynamic FC within MTL subsystem than the HC and WMH-NC groups. Altered dynamic FC within MTL subsystem mediated the relationship between WMH and memory span (indirect effect: -0.2251, 95% confidence interval [-0.6295, -0.0267]). Additionally, dynamic FCs of DMN subsystems could be clustered into two recurring states. For dynamic FCs within MTL subsystem, WMH-MCI subjects exhibited longer mean dwell time (MDT) and higher reoccurrence fraction (RF) in a sparsely connected state (State 2). Altered MDT and RF in State 2 were negatively associated with IPS. Taken together, these findings indicated static/dynamic FC of DMN subsystems can provide relevant information on cognitive decline from different aspects, which provides a comprehensive view of subsystem mechanisms of DMN underlying WMH-related CI.
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Affiliation(s)
- Dan Yang
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Jiangnan Li
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Zhihong Ke
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Ruomeng Qin
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - ChengLu Mao
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Lili Huang
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Yuting Mo
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Zheqi Hu
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Weiping Lv
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Yanan Huang
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Bing Zhang
- Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
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22
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Chung CP, Ihara M, Hilal S, Chen LK. Targeting cerebral small vessel disease to promote healthy aging: Preserving physical and cognitive functions in the elderly. Arch Gerontol Geriatr 2023; 110:104982. [PMID: 36868073 DOI: 10.1016/j.archger.2023.104982] [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: 12/23/2022] [Revised: 02/15/2023] [Accepted: 02/22/2023] [Indexed: 02/27/2023]
Abstract
Cerebral small vessel disease (SVD), which is highly age-related, is the most common neuroimaging finding in community-dwelling elderly individuals. In addition to increasing the risk of dementia and stroke, SVD is associated with cognitive and physical (particularly gait speed) functional impairments in the elderly. Here, we provide evidence suggesting covert SVD, e.g. without clinically evident stroke or dementia, as a critical target to preserve the functional ability that enables well-being in older age. First, we discuss the relationship between covert SVD and geriatric syndrome. SVD lesions found in non-demented, stroke-free elderly are actually not "silent" but are associated with accelerated age-related functional decline. We also review the brain structural and functional abnormalities associated with covert SVD and the possible mechanisms underlying their contributions to SVD-related cognitive and physical functional impairments. Finally, we reveal current data, though limited, on the management of elderly patients with covert SVD to prevent SVD lesion progression and functional decline. Although it is important in aging health, covert SVD is still under-recognized or misjudged by physicians in both neurological and geriatric professions. Improving the acknowledgment, detection, interpretation, and understanding of SVD would be a multidisciplinary priority to maintain cognitive and physical functions in the elderly. The dilemmas and future directions of clinical practice and research for the elderly with covert SVD are also included in the present review.
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Affiliation(s)
- Chih-Ping Chung
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; Center for Health Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Saima Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Memory Aging and Cognition Center, National University Health System, Singapore
| | - Liang-Kung Chen
- Center for Health Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan; Taipei Municipal Gan-Dau Hospital (managed by Taipei Veterans General Hospital), Taipei, Taiwan.
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23
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Associations between Autonomic Function and Cognitive Performance among Patients with Cerebral Small Vessel Disease. Brain Sci 2023; 13:brainsci13020344. [PMID: 36831887 PMCID: PMC9954276 DOI: 10.3390/brainsci13020344] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/07/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Data linking heart rate variability (HRV) and cognitive status remains controversial and scarce, particularly in cerebral small vessel disease (CSVD) patients. Whether the association between HRV and cognitive performance exists in CSVD patients is unclear. Hence, we aimed to investigate the association between HRV and cognitive performance in patients with CSVD. This cross-sectional study was conducted among 117 CSVD patients. All patients underwent HRV assessment and global cognitive evaluation by the Mini-Mental-State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Multivariable analyses were performed to evaluate the association between HRV and cognitive status. The mean age of study population was 59.5 ± 11.8 years and 39.3% were female. After adjusting for confounding factors, a higher high frequency (HF) norm was independently associated with better MMSE scores (β = 0.051; 95% confidence interval (CI): 0.012~0.090; p = 0.011) and MoCA scores (β = 0.061; 95% CI: 0.017~0.105; p = 0.007), while a higher low frequency (LF)/HF ratio was independently associated with worse MMSE scores (β = -0.492; 95% CI: -0.893~-0.092; p = 0.017) and MoCA scores (β = -0.691; 95% CI: -1.134~-0.248; p = 0.003). The HF norm was positively associated with global cognitive performance, whereas the LF/HF ratio was negatively associated with global cognitive performance among CSVD patients. Further study of the relationship between autonomic function and cognitive performance is warranted.
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24
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Shi G, Ke D, Gong P, Yu P, Zhou J, Wang M, Zhang X, Wang X, Guo M, Xu M, Zhou R. Serum YKL-40 Levels and White Matter Hyperintensities in Patients with Acute Ischemic Stroke. J Inflamm Res 2023; 16:311-319. [PMID: 36721527 PMCID: PMC9884433 DOI: 10.2147/jir.s398701] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/18/2023] [Indexed: 01/25/2023] Open
Abstract
Background White matter hyperintensity (WMH) is associated with risk of acute ischemic stroke (AIS) and poor outcomes after AIS. The purpose of this prospective study was to evaluate the association between serum YKL-40 levels and WMH burden in patients with AIS. Methods From February 2020 to March 2021, a total of 672 consecutive AIS patients with magnetic resonance imaging data were prospectively recruited form two centers. Serum YKL-40 levels were quantified using enzyme-linked immunosorbent assay. The burden of WMH was semiquantitatively measured by the Fazekas visual grading scale. According to severity of overall WMH, patients were dichotomized into none-mild WMH group (Fazekas score 0-2) or moderate-severe WMH group (Fazekas score 3-6). Besides, based on severity of periventricular WMH (PV-WMH) and deep WMH (D-WMH), patients were categorized as none-mild (Fazekas score 0-1) or moderate-severe (Fazekas score 2-3). Results Among the 672 patients, 335 (49.9%) participants were identified with moderate-severe overall WMH, 326 (48.5%) with moderate-severe PV-WMH and 262 (39.0%) with moderate-severe D-WMH. Compared with the first quartile of serum YKL-40, the adjusted odds ratio (OR) of the fourth quartile for moderate-severe PV-WMH was 2.473 (95% confidence interval [CI] 1.316-4.646; P=0.005). No significant association was observed between YKL-40 and overall WMH (OR 0.762; 95% CI 0.434-1.336; P=0.343) or D-WMH (OR 0.695; 95% CI 0.413-1.171; P=0.172). Conclusion Our results suggested that higher YKL-40 levels appeared to be associated with PV-WMH, but not with overall WMH or D-WMH in patients with AIS.
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Affiliation(s)
- Guomei Shi
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Dongdong Ke
- Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Department of Rehabilitation, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Pengyu Gong
- Department of Neurology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, People’s Republic of China,Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Peng Yu
- Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Department of Radiology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Junshan Zhou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Meng Wang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Xiaohao Zhang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Xiaorong Wang
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Minwang Guo
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Mingyang Xu
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Rujuan Zhou
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Correspondence: Rujuan Zhou, Tel +86-13951158499, Email
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25
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Lam BYK, Cai Y, Akinyemi R, Biessels GJ, van den Brink H, Chen C, Cheung CW, Chow KN, Chung HKH, Duering M, Fu ST, Gustafson D, Hilal S, Hui VMH, Kalaria R, Kim S, Lam MLM, de Leeuw FE, Li ASM, Markus HS, Marseglia A, Zheng H, O'Brien J, Pantoni L, Sachdev PS, Smith EE, Wardlaw J, Mok VCT. The global burden of cerebral small vessel disease in low- and middle-income countries: A systematic review and meta-analysis. Int J Stroke 2023; 18:15-27. [PMID: 36282189 DOI: 10.1177/17474930221137019] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Cerebral small vessel disease (cSVD) is a major cause of stroke and dementia. Previous studies on the prevalence of cSVD are mostly based on single geographically defined cohorts in high-income countries. Studies investigating the prevalence of cSVD in low- and middle-income countries (LMICs) are expanding but have not been systematically assessed. AIM This study aims to systematically review the prevalence of cSVD in LMICs. RESULTS Articles were searched from the Ovid MEDLINE and EMBASE databases from 1 January 2000 to 31 March 2022, without language restrictions. Title/abstract screening, full-text review, and data extraction were performed by two to seven independent reviewers. The prevalence of cSVD and study sample size were extracted by pre-defined world regions and health status. The Risk of Bias for Non-randomized Studies tool was used. The protocol was registered on PROSPERO (CRD42022311133). A meta-analysis of proportion was performed to assess the prevalence of different magnetic resonance imaging markers of cSVD, and a meta-regression was performed to investigate associations between cSVD prevalence and type of study, age, and male: female ratio. Of 2743 studies identified, 42 studies spanning 12 global regions were included in the systematic review. Most of the identified studies were from China (n = 23). The median prevalence of moderate-to-severe white matter hyperintensities (WMHs) was 20.5%, 40.5%, and 58.4% in the community, stroke, and dementia groups, respectively. The median prevalence of lacunes was 0.8% and 33.5% in the community and stroke groups. The median prevalence of cerebral microbleeds (CMBs) was 10.7% and 22.4% in the community and stroke groups. The median prevalence of moderate-to-severe perivascular spaces was 25.0% in the community. Meta-regression analyses showed that the weighted median age (51.4 ± 0.0 years old; range: 36.3-80.2) was a significant predictor of the prevalence of moderate-to-severe WMH and lacunes, while the type of study was a significant predictor of the prevalence of CMB. The heterogeneity of studies was high (>95%). Male participants were overrepresented. CONCLUSIONS This systematic review and meta-analysis provide data on cSVD prevalence in LMICs and demonstrated the high prevalence of the condition. cSVD research in LMICs is being published at an increasing rate, especially between 2010 and 2022. More data are particularly needed from Sub-Saharan Africa and Central Europe, Eastern Europe, and Central Asia.
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Affiliation(s)
- Bonnie Yin Ka Lam
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
- Gerald Choa Neuroscience Institute, Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Shatin, Hong Kong
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Yuan Cai
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Rufus Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Centre for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Neurology, University College Hospital, Ibadan, Nigeria
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Hilde van den Brink
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Christopher Chen
- Memory Aging and Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chin Wai Cheung
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - King Ngai Chow
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Henry Kwun Hang Chung
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Marco Duering
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- Medical Image Analysis Center (MIAC), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Siu Ting Fu
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Deborah Gustafson
- Section for NeuroEpidemiology, Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Saima Hilal
- Memory Aging and Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore
- Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore
| | - Vincent Ming Ho Hui
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
- Gerald Choa Neuroscience Institute, Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Rajesh Kalaria
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - SangYun Kim
- Clinical Neuroscience Center, Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Maggie Li Man Lam
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Frank Erik de Leeuw
- Donders Institute for Brain Cognition and Behaviour, Department of Neurology, Radboudumc, Nijmegen, The Netherlands
| | - Ami Sin Man Li
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
- Gerald Choa Neuroscience Institute, Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Hugh Stephen Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Anna Marseglia
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Huijing Zheng
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
- Gerald Choa Neuroscience Institute, Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - John O'Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Leonardo Pantoni
- Stroke and Dementia Lab, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Perminder Singh Sachdev
- School of Psychiatry, Neuropsychiatric Institute, The University of New South Wales, Sydney, NSW, Australia
| | - Eric E Smith
- Division of Neurology, Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Joanna Wardlaw
- Centre for Clinical Brain Sciences, Edinburgh Imaging and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Vincent Chung Tong Mok
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
- Gerald Choa Neuroscience Institute, Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Shatin, Hong Kong
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26
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Bhagat R, Marini S, Romero JR. Genetic considerations in cerebral small vessel diseases. Front Neurol 2023; 14:1080168. [PMID: 37168667 PMCID: PMC10164974 DOI: 10.3389/fneur.2023.1080168] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 04/04/2023] [Indexed: 05/13/2023] Open
Abstract
Cerebral small vessel disease (CSVD) encompasses a broad clinical spectrum united by pathology of the small vessels of the brain. CSVD is commonly identified using brain magnetic resonance imaging with well characterized markers including covert infarcts, white matter hyperintensities, enlarged perivascular spaces, and cerebral microbleeds. The pathophysiology of CSVD is complex involving genetic determinants, environmental factors, and their interactions. While the role of vascular risk factors in CSVD is well known and its management is pivotal in mitigating the clinical effects, recent research has identified novel genetic factors involved in CSVD. Delineating genetic determinants can promote the understanding of the disease and suggest effective treatments and preventive measures of CSVD at the individual level. Here we review CSVD focusing on recent advances in the genetics of CSVD. The knowledge gained has advanced understanding of the pathophysiology of CSVD, offered promising early results that may improve subtype identification of small vessel strokes, has led to additional identification of mendelian forms of small vessel strokes, and is getting closer to influencing clinical care through pharmacogenetic studies.
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Affiliation(s)
- Riwaj Bhagat
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
| | - Sandro Marini
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
| | - José R. Romero
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
- NHLBI’s Framingham Heart Study, Framingham, MA, United States
- *Correspondence: José R. Romero,
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27
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Feng L, Zhai FF, Li ML, Zhou LX, Ni J, Yao M, Jin ZY, Cui LY, Zhang SY, Han F, Zhu YC. Association between Anatomical Variations of the Circle of Willis and Covert Vascular Brain Injury in the General Population. Cerebrovasc Dis 2022; 52:480-486. [PMID: 36446342 PMCID: PMC10568604 DOI: 10.1159/000527432] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 09/05/2022] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND AND PURPOSE The circle of Willis (COW) is a circulatory anastomosis located at the base of the brain. Little is known about the association between covert vascular brain injury and COW configurations in the general population. We explored this relationship in a community-based Chinese sample. METHODS A total of 1,055 patients (mean age, 54.8 ± 8.9 years; 36.0% men) without intracranial arterial stenosis were included in the analysis. Magnetic resonance imaging was performed to evaluate the presence of imaging markers of covert vascular brain injury, including white matter hyperintensities (WMHs), lacunes, cerebral microbleeds (CMBs), enlarged perivascular spaces, and brain atrophy. Magnetic resonance angiography was used to classify the COW configurations according to the completeness, symmetry, and presence of the fetal posterior cerebral artery (FTP). The association between vascular lesions and variations in COW was analyzed. RESULTS Among the 1,055 patients, 104 (9.9%) had a complete COW. Completeness correlated with age (p = 0.001). Incomplete COW was positively associated with WMH severity (OR = 2.071; 95% CI, 1.004-4.270) and CMB presence (OR = 1.542; 95% CI, 1.012-2.348), independent of age and sex. The presence of FTP was associated with lacunes (OR = 1.878; 95% CI, 1.069-3.298), more severe WMHs (OR = 1.739; 95% CI, 1.064-2.842), and less severe enlarged perivascular spaces (OR = 0.562; 95% CI, 0.346-0.915). CONCLUSIONS COW configuration was significantly related to various covert vascular brain injuries.
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Affiliation(s)
- Lu Feng
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Fei-Fei Zhai
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Ming-Li Li
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Li-Xin Zhou
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Jun Ni
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Ming Yao
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Zheng-Yu Jin
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Li-Ying Cui
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Shu-Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Fei Han
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
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28
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Jeong HY, Kim HJ, Nam KW, Jeong SM, Kwon H, Park JH, Kwon HM. Annual exposure to PM 10 is related to cerebral small vessel disease in general adult population. Sci Rep 2022; 12:19693. [PMID: 36385313 PMCID: PMC9668965 DOI: 10.1038/s41598-022-24326-y] [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: 01/24/2022] [Accepted: 11/14/2022] [Indexed: 11/17/2022] Open
Abstract
Ambient air pollution is one of the most important global health issues. Although several studies have been reported the associations between air pollution and brain function or structure, impact of the air pollution on cerebral small vessel disease (cSVD) have rarely been explored in Asian adult population. We evaluated the association between exposure to air pollutants and cSVD in Korean asymptomatic adults. This cross-sectional study included 3257 participants of a health screening program from January 2006 to December 2013. All participants performed brain magnetic resonance imaging. To assess the cSVD, we considered three features such as white matter hyperintensities (WMH), silent lacunar infarction (SLI), and cerebral microbleeds (CMBs). The annual average exposure to air pollutants [particulate matter ≤ 10 μm in aerodynamic diameter (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO)] was generated. The mean [standard deviation (SD)] age of the total 3257 participants was 56.5 (9.5) years, and 54.0% of them were male. Among all the included participants, 273 (8.4%) had SLI and 135 (4.1%) had CMBs. The mean volume (± SD) of WMH was 2.72 ± 6.57 mL. In result of linear regression analysis, the volume of WMH was associated with various potential factors including age, height, weight, smoking and alcohol consumption status, blood pressure (BP), hypertension, and diabetes mellitus. SLI-positive group, compared to the SLI-negative group, was older, shorter, and had higher BP as well as higher frequency of hypertension and diabetes mellitus. After adjusting for covariates, the annual average concentration of PM10 was significantly associated with the volume of WMH [β (95% CI) for Model 1 = 0.082 (0.038- 0.125), p < 0.001; β (95% CI) for Model 2 = 0.060 (0.013, 0.107), p = 0.013]. CMBs were not associated with the annual average concentration of PM10. No significant associations of NO2, SO2, and CO with cSVD were observed. In conclusion, PM10 exposure is associated with significant increases in brain WMH' volume and silent lacunar infarcts in asymptomatic adults.
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Affiliation(s)
- Han-Yeong Jeong
- grid.412484.f0000 0001 0302 820XDepartment of Neurology, Emergency Medical Center, Seoul National University Hospital, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Jin Kim
- grid.410914.90000 0004 0628 9810National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea
| | - Ki-Woong Nam
- grid.31501.360000 0004 0470 5905Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 20 Boramae-Ro 5-Gil, Dongjak-Gu, Seoul, 07061 Republic of Korea
| | - Su-Min Jeong
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongro-Gu, Seoul, 03080 Republic of Korea
| | - Hyuktae Kwon
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongro-Gu, Seoul, 03080 Republic of Korea
| | - Jin-Ho Park
- grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongro-Gu, Seoul, 03080 Republic of Korea
| | - Hyung-Min Kwon
- grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 20 Boramae-Ro 5-Gil, Dongjak-Gu, Seoul, 07061 Republic of Korea
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Hazany S, Nguyen KL, Lee M, Zhang A, Mokhtar P, Crossley A, Luthra S, Butani P, Dergalust S, Ellingson B, Hinman JD. Regional Cerebral Small Vessel Disease (rCSVD) Score: A clinical MRI grading system validated in a stroke cohort. J Clin Neurosci 2022; 105:131-136. [PMID: 36183571 PMCID: PMC10163829 DOI: 10.1016/j.jocn.2022.09.014] [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: 07/27/2022] [Revised: 09/06/2022] [Accepted: 09/20/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Current methods for quantitative assessment of cerebral small vessel disease (CSVD) ignore critical aspects of the disease, namely lesion type and regionality. We developed and tested a new scoring system for CSVD, "regional Cerebral Small Vessel Disease" (rCSVD) based on regional assessment of magnetic resonance imaging (MRI) features. METHODS 141 patients were retrospectively included with a derivation cohort of 46 consecutive brain MRI exams and a validation cohort of 95 patients with known cerebrovascular disease. We compared the predictive value of rCSVD against existing scoring methods. We determined the predictive value of rCSVD score for all-cause mortality and recurrent strokes. RESULTS 46 (44 male) veteran patients (age: 66-93 years), were included for derivation of the rCSVD score. A non-overlapping validation cohort consisted of 95 patients (89 male; age: 34-91 years) with known cerebrovascular disease were enrolled. Based on ROC analysis with comparison of AUC (Area Under the Curve), "rCSVD" score performed better compared to "total SVD score" and Fazekas score for predicting all-cause mortality (0.75 vs 0.68 vs 0.69; p = 0.046). "rCSVD" and total SVD scores were predictive of recurrent strokes in our validation cohort (p-values 0.004 and 0.001). At a median of 5.1 years (range 2-17 years) follow-up, Kaplan-Meier survival analysis demonstrated an rCSVD score of 2 to be a significant predictor of all-cause-mortality. CONCLUSION "rCSVD" score can be derived from routine brain MRI, has value in risk stratification of patients at risk of CSVD, and has potential in clinical trials once fully validated in a larger patient cohort.
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Affiliation(s)
- Saman Hazany
- Department of Radiology, VA Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA, USA.
| | - Kim-Lien Nguyen
- Division of Cardiology and Radiology, VA Greater Los Angeles Healthcare System and David, Geffen School of Medicine at UCLA, USA
| | - Martin Lee
- Department of Biostatistics, Fielding School of Public Health at UCLA, USA
| | - Andrew Zhang
- Department of Radiology, VA Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA, USA
| | - Parsa Mokhtar
- Department of Psychobiology, University of California Los Angeles, USA
| | - Alexander Crossley
- Department of Neurology, VA Greater Los Angeles Healthcare System and David Geffen, School of Medicine at UCLA, USA
| | - Sakshi Luthra
- College of Letters and Sciences, University of California Los Angeles, USA
| | - Pooja Butani
- Department of Neurology, VA Greater Los Angeles Healthcare System and David Geffen, School of Medicine at UCLA, USA
| | - Sunita Dergalust
- Department of Pharmacy, VA Greater Los Angeles Healthcare System, USA
| | - Benjamin Ellingson
- Department of Radiology and Psychiatry, David Geffen School of Medicine at UCLA, USA
| | - Jason D Hinman
- Department of Neurology, VA Greater Los Angeles Healthcare System and David Geffen, School of Medicine at UCLA, USA
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Yu M, Jia Y, Yang D, Zhang R, Jiang Y, Zhang G, Qiao H, Han H, Shen R, Ning Z, Zhao X, Liu G, Wang Y. Association between haemoglobin A1c and cerebral microbleeds in community-based stroke-free individuals: A cross-sectional study. Diabetes Metab Res Rev 2022; 38:e3557. [PMID: 35686956 DOI: 10.1002/dmrr.3557] [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: 02/14/2022] [Revised: 04/22/2022] [Accepted: 06/06/2022] [Indexed: 11/08/2022]
Abstract
AIMS The association between haemoglobin A1c (HbA1c) and cerebral microbleeds (CMBs) remains unclear. We aimed to investigate the association between HbA1c and CMBs in community-based individuals without stroke or transient ischaemic attack (TIA) and whether the association differs between individuals with and without diabetes mellitus (DM). MATERIALS AND METHODS All individuals were recruited from a community in Beijing, China, from January 2015 to September 2019. All individuals completed a questionnaire and underwent blood tests and brain magnetic resonance imaging. A susceptibility-weighted imaging sequence was acquired to detect CMBs, which were defined as small, round and low-signal lesions with <10 mm diameter. The association between HbA1c and CMBs was analysed using multivariable logistic regression adjusted for demographics, medical history and blood sample test results. Subgroup analyses stratified by history of DM were performed. RESULTS Of 544 recruited individuals, 119 (21.88%) had CMBs. HbA1c was independently associated with CMBs (odds ratio [OR], 1.51; 95% confidence interval [CI], 1.03-2.22). In 87 individuals with DM, multivariable logistic analysis showed that HbA1c was significantly associated with CMBs (OR, 1.67; 95% CI, 1.04-2.69), whereas in individuals without DM, no significant association was observed between HbA1c and CMBs (OR, 1.07; 95% CI, 0.50-2.30). CONCLUSIONS HbA1c was associated with CMBs in individuals without stroke or TIA, particularly in individuals with DM, suggesting that the status of glycaemic control warrants attention for the prevention of CMBs. It would be beneficial to manage HbA1c specifically to control the risk of CMBs, especially in individuals with DM.
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Affiliation(s)
- Miaoxin Yu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanan Jia
- Department of Neurology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Dandan Yang
- Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Runhua Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Guitao Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
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Association between antiplatelet medication and cerebral microbleeds in stroke-free population. J Geriatr Cardiol 2022; 19:409-417. [PMID: 35845161 PMCID: PMC9248274 DOI: 10.11909/j.issn.1671-5411.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Cerebral microbleeds (CMBs) may increase the risk of future intracerebral hemorrhage and ischemic stroke. However, It is unclear whether antiplatelet medication is associated with CMBs. This study aimed to investigate the association between antiplatelet medication and CMBs in a community-based stroke-free population. METHODS In this cross-sectional study, stroke-free participants aged 18-85 years were recruited from a community in Beijing, China. Demographic, clinical, and antiplatelet medication data were collected through a questionnaire, and all participants underwent blood tests and brain magnetic resonance imaging at 3.0T. The presence, count, and location of CMBs were evaluated using susceptibility-weighted imaging. The association between antiplatelet medication and the presence of CMBs was analyzed using multivariable logistic regression. The associations between antiplatelet medication and CMBs by location (lobar, deep brain or infratentorial, and mixed regions) were also analyzed using multinomial logistic regression. A linear regression analysis was conducted to determine the association between antiplatelet medication and the log-transformed number of CMBs. RESULTS Of the 544 participants (mean age: 58.65 ± 13.66 years, 217 males), 119 participants (21.88%) had CMBs, and 64 participants (11.76%) used antiplatelet medication. Antiplatelet medication was found to be associated with CMBs at any location [odds ratio (OR) = 2.39, 95% CI: 1.24-4.58] and lobar region (OR = 2.83, 95% CI: 1.36-5.86), but not with the number of CMBs (β = 0.14, 95% CI: -0.21-0.48). Among antiplatelet medications, aspirin use was found to be associated with any CMB (OR = 3.17, 95% CI: 1.49-6.72) and lobar CMBs (OR = 3.61, 95% CI: 1.57-8.26). CONCLUSIONS Antiplatelet medication was associated with CMBs in stroke-free participants, particularly lobar CMBs. Among antiplatelet medications, aspirin use was associated with any CMB and lobar CMBs. Our findings suggest that it might be essential to optimize the management of antiplatelet medication in the stroke-free population with a higher burden of vascular risk factors to reduce the potential risk of CMBs.
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Niu J, Zhang J, Yan J, Xu Z, Fang X, You J, Liu Z, Wu W, Li T. Neural Dysconnectivity in the Hippocampus Correlates With White Matter Lesions and Cognitive Measures in Patients With Coronary Artery Disease. Front Aging Neurosci 2022; 14:786253. [PMID: 35832064 PMCID: PMC9271740 DOI: 10.3389/fnagi.2022.786253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 05/26/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeRecent neuroimaging reports have shown the microstructural changes in coronary artery disease (CAD) and its correlation with cognitive dysfunction while little is known about the functional characteristics of CAD. We hypothesize that functional characteristics may give clues to underlying pathology in CAD and its link with cognitive dysfunction. Degree centrality (DC), a graph-based assessment of network organization was performed to explore the neural connectivity changes in CAD patients compared with healthy controls and their correlation with cognitive measures.MethodsThirty CAD patients and 36 healthy controls were included in our study. All participants underwent functional magnetic resonance imaging (fMRI) of the brain. We performed DC analysis to identify voxels that showed changes in whole-brain functional connectivity with other voxels. DC was measured by the fMRI graph method and comparisons between the two groups were done. All participants underwent neuropsychological assessment (Montreal Cognitive Assessment, MoCA and Mini-Mental State Examination, MMSE).ResultsOur data analysis included 30 CAD patients (59.90 ± 7.53 years) and 36 HCs (61.61 ± 6.19 years). CAD patients showed a greater prevalence of white matter lesions using the Fazekas score than healthy controls (P < 0.001). Importantly, CAD patients showed significantly lower (P < 0.001) MoCA and MMSE scores compared with healthy controls. CAD patients showed significantly decreased DC value (P < 0.001) in the right hippocampus (hippocampus_R), right lingual gyrus (lingual_R), and significantly increased DC value (P < 0.001) in the left middle frontal gyrus (Frontal_Mid_L) when compared with healthy controls respectively. DC value in the hippocampus_R significantly correlated (P < 0.00) with MMSE and MoCA scores in CAD patients. Fazekas scores in CAD patients showed a significant correlation (P < 0.001) with the DC value in the hippocampus_R.ConclusionThese findings suggest that reduced cerebral neural connectivity in CAD may contribute to their cognitive impairment and white matter microstructural damage.
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Del Cuore A, Pacinella G, Riolo R, Tuttolomondo A. The Role of Immunosenescence in Cerebral Small Vessel Disease: A Review. Int J Mol Sci 2022; 23:ijms23137136. [PMID: 35806140 PMCID: PMC9266569 DOI: 10.3390/ijms23137136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 06/20/2022] [Accepted: 06/24/2022] [Indexed: 11/16/2022] Open
Abstract
Cerebral small vessel disease (CSVD) is one of the most important causes of vascular dementia. Immunosenescence and inflammatory response, with the involvement of the cerebrovascular system, constitute the basis of this disease. Immunosenescence identifies a condition of deterioration of the immune organs and consequent dysregulation of the immune response caused by cellular senescence, which exposes older adults to a greater vulnerability. A low-grade chronic inflammation status also accompanies it without overt infections, an “inflammaging” condition. The correlation between immunosenescence and inflammaging is fundamental in understanding the pathogenesis of age-related CSVD (ArCSVD). The production of inflammatory mediators caused by inflammaging promotes cellular senescence and the decrease of the adaptive immune response. Vice versa, the depletion of the adaptive immune mechanisms favours the stimulation of the innate immune system and the production of inflammatory mediators leading to inflammaging. Furthermore, endothelial dysfunction, chronic inflammation promoted by senescent innate immune cells, oxidative stress and impairment of microglia functions constitute, therefore, the framework within which small vessel disease develops: it is a concatenation of molecular events that promotes the decline of the central nervous system and cognitive functions slowly and progressively. Because the causative molecular mechanisms have not yet been fully elucidated, the road of scientific research is stretched in this direction, seeking to discover other aberrant processes and ensure therapeutic tools able to enhance the life expectancy of people affected by ArCSVD. Although the concept of CSVD is broader, this manuscript focuses on describing the neurobiological basis and immune system alterations behind cerebral aging. Furthermore, the purpose of our work is to detect patients with CSVD at an early stage, through the evaluation of precocious MRI changes and serum markers of inflammation, to treat untimely risk factors that influence the burden and the worsening of the cerebral disease.
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Affiliation(s)
- Alessandro Del Cuore
- Department of Promoting Health, Maternal-Infant, Excellence and Internal and Specialised Medicine (PROMISE) G. D’Alessandro, University of Palermo, 90133 Palermo, Italy; (G.P.); (R.R.); (A.T.)
- Internal Medicine and Stroke Care Ward, Policlinico “P. Giaccone”, 90127 Palermo, Italy
- Correspondence: ; Tel.: +39-091-655-2197
| | - Gaetano Pacinella
- Department of Promoting Health, Maternal-Infant, Excellence and Internal and Specialised Medicine (PROMISE) G. D’Alessandro, University of Palermo, 90133 Palermo, Italy; (G.P.); (R.R.); (A.T.)
- Internal Medicine and Stroke Care Ward, Policlinico “P. Giaccone”, 90127 Palermo, Italy
| | - Renata Riolo
- Department of Promoting Health, Maternal-Infant, Excellence and Internal and Specialised Medicine (PROMISE) G. D’Alessandro, University of Palermo, 90133 Palermo, Italy; (G.P.); (R.R.); (A.T.)
- Internal Medicine and Stroke Care Ward, Policlinico “P. Giaccone”, 90127 Palermo, Italy
| | - Antonino Tuttolomondo
- Department of Promoting Health, Maternal-Infant, Excellence and Internal and Specialised Medicine (PROMISE) G. D’Alessandro, University of Palermo, 90133 Palermo, Italy; (G.P.); (R.R.); (A.T.)
- Internal Medicine and Stroke Care Ward, Policlinico “P. Giaccone”, 90127 Palermo, Italy
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Study on the Interaction between the Characteristics of Retinal Microangiopathy and Risk Factors for Cerebral Small Vessel Disease. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:9505945. [PMID: 35800241 PMCID: PMC9203197 DOI: 10.1155/2022/9505945] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/18/2022] [Accepted: 05/03/2022] [Indexed: 11/24/2022]
Abstract
Objective This study was designed to explore the characteristics of retinal microangiopathy in patients with cerebral small vessel disease (CSVD) and clarify its interaction with the risk factors for CSVD. Methods Sixty patients with CSVD and 15 healthy individuals were enrolled. Demographic data, risk factors, and medical history were recorded, and magnetic resonance imaging was performed to detect and analyze the characteristics of retinal microangiopathy in the two groups. The interaction among retinal microangiopathy, vascular risk factors, and total imaging load of CSVD was compared. Results (1) Hypertension, standard deviation of systolic blood pressure (SBPSD), standard deviation of blood glucose (SDBG), and atherogenic index of plasma (AIP) were independent vascular risk factors for CSVD. (2) Statistically significant differences in hypertension, SBPSD, SDBG, and AIP were observed between the two groups in terms of the total imaging burden of CSVD (p < 0.05). (3) Multivariate logistic linear regression showed that CSVD was associated with a wider central retinal vein equivalent (CRVE) (p = 0.015), a smaller arteriole-to-venule ratio (AVR) (p = 0.001), and a higher incidence of vessel tortuosity (p = 0.027). (4) When the total imaging burden of CSVD ranges from 0 to 4 points, the CRVE is larger, the AVR is smaller, and the incidence of vascular tortuosity is higher, with a statistically significant difference (p < 0.05). (5) The characteristics of retinal microangiopathy were correlated with hypertension, SBPSD, SDBG, and AIP (p < 0.05). (6) An association was observed between the characteristics of retinal microangiopathy and vascular risk factors and the total imaging burden of CSVD (p < 0.05). Conclusions (1) Hypertension, SBP variability, BG fluctuation, and AIP are independent vascular risk factors for CSVD. (2) Retinal microvessels are changed in patients with CSVD, and venous dilatation, decreased arteriovenous ratio, and vascular tortuosity are the main characteristics of the disease. (3) The characteristics of retinal microangiopathy are interactively correlated with the total imaging load and risk factors for CSVD and can be used as indicators of the severity of CSVD.
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Wang Y, Liu X, Hu Y, Yu Z, Wu T, Wang J, Liu J, Liu J. Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease. BMC Med Imaging 2022; 22:40. [PMID: 35264145 PMCID: PMC8908649 DOI: 10.1186/s12880-022-00769-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 02/28/2022] [Indexed: 12/14/2022] Open
Abstract
Background White matter hyperintensity (WMH) is one of the typical neuroimaging manifestations of cerebral small vessel disease (CSVD), and the WMH correlates closely to cognitive impairment (CI). CSVD patients with WMH own altered topological properties of brain functional network, which is a possible mechanism that leads to CI. This study aims to identify differences in the characteristics of some brain functional network among patients with different grades of WMH and estimates the correlations between these different brain functional network characteristics and cognitive assessment scores. Methods 110 CSVD patients underwent 3.0 T Magnetic resonance imaging scans and neuropsychological cognitive assessments. WMH of each participant was graded on the basis of Fazekas grade scale and was divided into two groups: (A) WMH score of 1–2 points (n = 64), (B) WMH score of 3–6 points (n = 46). Topological indexes of brain functional network were analyzed using graph-theoretical method. T-test and Mann–Whitney U test was used to compare the differences in topological properties of brain functional network between groups. Partial correlation analysis was applied to explore the relationship between different topological properties of brain functional networks and overall cognitive function. Results Patients with high WMH scores exhibited decreased clustering coefficient values, global and local network efficiency along with increased shortest path length on whole brain level as well as decreased nodal efficiency in some brain regions on nodal level (p < 0.05). Nodal efficiency in the left lingual gyrus was significantly positively correlated with patients' total Montreal Cognitive Assessment (MoCA) scores (p < 0.05). No significant difference was found between two groups on the aspect of total MoCA and Mini-mental State Examination (MMSE) scores (p > 0.05). Conclusion Therefore, we come to conclusions that patients with high WMH scores showed less optimized small-world networks compared to patients with low WMH scores. Global and local network efficiency on the whole-brain level, as well as nodal efficiency in certain brain regions on the nodal level, can be viewed as markers to reflect the course of WMH. Supplementary Information The online version contains supplementary material available at 10.1186/s12880-022-00769-7.
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Affiliation(s)
- Yifan Wang
- Department of Radiology, Eye & ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, China
| | - Xiao Liu
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
| | - Ying Hu
- Institute of Medical Imaging Engineering, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Zekuan Yu
- Academy for Engineering and Technology, Fudan University, Yangpu District, No. 539 Handan Road, Shanghai, 200433, China. .,Key Laboratory of Industrial Dust Prevention and Control & Occupational Health and Safety, Ministry of Education, Beijing, China. .,Anhui Province Engineering Laboratory of Occupational Health and Safety, Huainan, China. .,Laboratory of Industrial Dust Deep Reduction and Occupational Health and Safety of Anhui Higher Education Institutes, Hefei, China.
| | - Tianhao Wu
- Department of Radiology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200050, China
| | - Junjie Wang
- Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Jie Liu
- School of Computer and Information Technology, Beijing Jiaotong University, No. 3, Shangyuan Village, Haidian District, Beijing, 100089, China.
| | - Jun Liu
- Department of Radiology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200050, China.
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Zhang DD, Cao Y, Mu JY, Liu YM, Gao F, Han F, Zhai FF, Zhou LX, Ni J, Yao M, Li ML, Jin ZY, Zhang SY, Cui LY, Shen Y, Zhu YC. Inflammatory biomarkers and cerebral small vessel disease: a community-based cohort study. Stroke Vasc Neurol 2022; 7:302-309. [PMID: 35260438 PMCID: PMC9453831 DOI: 10.1136/svn-2021-001102] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 01/20/2022] [Indexed: 11/08/2022] Open
Abstract
Background and purpose Although inflammation has been proposed to be a candidate risk factor for cerebral small vessel disease (CSVD), previous findings remain largely inconclusive and vary according to disease status and study designs. The present study aimed to investigate possible associations between inflammatory biomarkers and MRI markers of CSVD. Methods A group of 15 serum inflammatory biomarkers representing a variety of those putatively involved in the inflammatory cascade was grouped and assessed in a cross-sectional study involving 960 stroke-free subjects. The biomarker panel was grouped as follows: systemic inflammation (high-sensitivity C reactive protein (hsCRP), interleukin 6 and tumour necrosis factor α), endothelial-related inflammation (E-selectin, P-selectin, intercellular adhesion molecule 1, vascular cell adhesion molecule 1 (VCAM-1), CD40 ligand, lipoprotein-associated phospholipase A2, chitinase-3-like-1 protein and total homocysteine (tHCY)) and media-related inflammation (matrix metalloproteinases 2, 3 and 9, and osteopontin). The association(s) between different inflammatory groups and white matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs), enlarged perivascular space (PVS) and the number of deep medullary veins (DMVs) were investigated. Results High levels of serum endothelial-related inflammatory biomarkers were associated with both increased WMH volume (R2=0.435, p=0.015) and the presence of lacunes (R2=0.254, p=0.027). Backward stepwise elimination of individual inflammatory biomarkers for endothelial-related biomarkers revealed that VCAM-1 was significant for WMH (β=0.063, p=0.005) and tHCY was significant for lacunes (β=0.069, p<0.001). There was no association between any group of inflammatory biomarkers and CMBs or PVS. Systemic inflammatory biomarkers were associated with fewer DMVs (R2=0.032, p=0.006), and backward stepwise elimination of individual systemic-related inflammatory biomarkers revealed that hsCRP (β=−0.162, p=0.007) was significant. Conclusion WMH and lacunes were associated with endothelial-related inflammatory biomarkers, and fewer DMVs were associated with systemic inflammation, thus suggesting different underlying inflammatory processes and mechanisms.
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Affiliation(s)
- Ding-Ding Zhang
- Central Research Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Cao
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing-Yu Mu
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi-Ming Liu
- Division of Life Sciences and Medicine, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
| | - Feng Gao
- Division of Life Sciences and Medicine, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
| | - Fei Han
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei-Fei Zhai
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Xin Zhou
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Ni
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ming Yao
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ming-Li Li
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng-Yu Jin
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shu-Yang Zhang
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Ying Cui
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong Shen
- Division of Life Sciences and Medicine, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
| | - Yi-Cheng Zhu
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Yang D, Qin R, Chu L, Xu H, Ni L, Ma J, Shao P, Huang L, Zhang B, Zhang M, Xu Y. Abnormal Cerebrovascular Reactivity and Functional Connectivity Caused by White Matter Hyperintensity Contribute to Cognitive Decline. Front Neurosci 2022; 16:807585. [PMID: 35310084 PMCID: PMC8930816 DOI: 10.3389/fnins.2022.807585] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 01/10/2022] [Indexed: 11/16/2022] Open
Abstract
Aims This study aimed to investigate the relationships of impaired cerebrovascular reactivity (CVR) and abnormal functional connectivity (FC) with white matter hyperintensity (WMH)-related cognitive decline. Methods A total of 233 WMH subjects were recruited and categorized into WMH-I (n = 106), WMH-II (n = 72), and WMH-III (n = 55) groups according to Fazekas visual rating scale. All participants underwent neuropsychological tests and multimodal MRI scans, including 3D-T1, and resting-state functional magnetic resonance imaging (rs-fMRI). The alterations of CVR maps and FC were further explored. Results Subjects with a higher WMH burden displayed a lower CVR in the left medial occipital gyrus (MOG). The FC analysis using MOG as a seed revealed that the FC of the left insula, left inferior parietal lobule, and thalamus changed abnormally as WMH aggravated. After adjusting for age, gender, and education years, the serial mediation analysis revealed that periventricular white matter hyperintensity contributes indirectly to poorer Mini-Mental State Examination (MMSE) scores (indirect effect: β = −0.1248, 95% CI: −0.4689, −0188), poorer Montreal Cognitive Assessment (MoCA) (indirect effect: β = −0.1436, 95% CI: −0.4584, −0.0292) scores, and longer trail making tests A (TMT-A) (indirect effect: β = 0.1837, 95% CI: 0.0069, 0.8273) times, specifically due to the lower CVR of the left MOG and the higher FC of the left insula-MOG. Conclusion The CVR decline of the left MOG and the abnormal FC of the left insula-MOG attributed to WMH progression were responsible for the poor general cognition (MMSE and MoCA) and information processing speed (TMT-A). The left MOG may act as a connection, which is involved in the processing of cognitive biases by connecting with the left insula-cortical regions in WMH individuals.
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Affiliation(s)
- Dan Yang
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Ruomeng Qin
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Lan Chu
- Department of Neurology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Hengheng Xu
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Ling Ni
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Junyi Ma
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Pengfei Shao
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Lili Huang
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Bing Zhang
- Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Meijuan Zhang
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
- *Correspondence: Meijuan Zhang,
| | - Yun Xu
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
- Yun Xu,
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Zang J, Jiang X, Feng S, Zhang H. The influence of cerebral small vessel diseases on the efficacy of repositioning therapy and prognosis of benign paroxysmal positional vertigo. Int J Med Sci 2022; 19:1227-1234. [PMID: 35928725 PMCID: PMC9346385 DOI: 10.7150/ijms.73080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/24/2022] [Indexed: 11/05/2022] Open
Abstract
Background: Although vascular risk factors have been found to be closely related to the development of benign paroxysmal positional vertigo (BPPV), the relationship between BPPV and cerebral small vessels diseases (CSVDs) has rarely been discussed in literature. This study set out to investigate the efficacy of repositioning therapy and prognosis among BPPV patients with CSVDs. Methods: We enrolled 553 BPPV patients who had undergone brain MRI, and categorized them into two groups based on the presence or absence of CSVDs. After controlling for other confounders using a propensity score matching (PSM) approach, we compared the incidence of recurrence and residual dizziness (RD). Then, we analyzed the recurrence rate and RD incidence in 176 BPPV patients with CSVDs, and assessed potential risk factors. Results: White matter hyperintensity (WMH, 72.2%) and lacunar infarction (LI, 65.9%) were the two CSVDs that were present in the highest proportion among the BPPV patients. The incidence of RD in patients with CSVDs was significantly higher compared to subjects without CSVDs. Patients with RD (n=100, 56.8%) were older, had more severe WMH, and had a higher incidence of brain atrophy; age and higher Fazekas score were independent risk factors. Among the recurrent patients (n=61, 34.7%), the ages were older, the Fazekas score of WMH was higher, and number of LIs was increased; age was the sole independent risk factor. Conclusion: BPPV patients with a combination of CSVD comorbidities, especially elderly patients with WMHs, are more likely to develop RD, which needs to be paid more attention.
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Affiliation(s)
- Jian Zang
- Department of Otolaryngology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Xuejun Jiang
- Department of Otolaryngology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Shuai Feng
- Department of Otolaryngology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Hongyang Zhang
- Department of Otolaryngology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China
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Mu R, Qin X, Guo Z, Meng Z, Liu F, Zhuang Z, Zheng W, Li X, Yang P, Feng Y, Jiang Y, Zhu X. Prevalence and Consequences of Cerebral Small Vessel Diseases: A Cross-Sectional Study Based on Community People Plotted Against 5-Year Age Strata. Neuropsychiatr Dis Treat 2022; 18:499-512. [PMID: 35264852 PMCID: PMC8901253 DOI: 10.2147/ndt.s352651] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/22/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE To study the variation tendency of cerebral small vessel disease (CSVD) imaging markers and total burden with aging and to research the relationship between aging, CSVD markers and cognitive function. METHODS Participants in local urban communities were recruited for neuropsychological and magnetic resonance imaging assessments. Montreal Cognitive Assessment (MoCA), Mini-mental State Examination (MMSE), Number Connection Test A (NCT-A) and Digital Symbol Test (DST) were adopted as neuropsychological scale. Age was stratified at 5-year intervals, and the variation tendency of imaging markers and variables of neuropsychological scales in different age groups was studied. We further studied the relationship between aging, image markers and neuropsychological scales by multi-linear regression. RESULTS Finally, a total of 401 stroke-free participants (age, 54.83±7.74y; 45.9% were male) were included in the present analysis. With the increase of age, the incidence of imaging markers of CSVD were increased with aging except cerebral microbleeds. The performance results of NCT-A and DST were significant difference in 6 age groups (P < 0.001). In addition, linear decline of the neuropsychological function reflected by NCT-A and DST variables was observed. Linear regression found that age was an independent factor affecting the neuropsychological function reflected by NCT-A and DST variables, and the standard correction coefficients among different age groups increased gradually with age. In addition, brain atrophy is an independent factor affecting neuropsychological variables (odds ratio: -2.929, 95% CI: [-5.094 to -0.765]). There was no correlation between the number of neuroimaging markers and neuropsychological variables after full adjustment. CONCLUSION There are many CVSD markers even in younger people, the incidence rate and CVSD marker numbers increase with age. Aging and CSVD may eventually affect cognitive function through brain atrophy.
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Affiliation(s)
- Ronghua Mu
- Graduate School of Guilin Medical University, Guilin, 541004, People's Republic of China.,Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Xiaoyan Qin
- Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Zixuan Guo
- Graduate School of Guilin Medical University, Guilin, 541004, People's Republic of China.,Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Zhuoni Meng
- Graduate School of Guilin Medical University, Guilin, 541004, People's Republic of China.,Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Fuzhen Liu
- Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Zeyu Zhuang
- Graduate School of Guilin Medical University, Guilin, 541004, People's Republic of China.,Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Wei Zheng
- Graduate School of Guilin Medical University, Guilin, 541004, People's Republic of China.,Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Xin Li
- Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Peng Yang
- Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Yuling Feng
- Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Yanchun Jiang
- Department of Neurology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
| | - Xiqi Zhu
- Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541004, People's Republic of China
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Wang Z, Chen Q, Chen J, Yang N, Zheng K. Risk factors of cerebral small vessel disease: A systematic review and meta-analysis. Medicine (Baltimore) 2021; 100:e28229. [PMID: 34941088 PMCID: PMC8702220 DOI: 10.1097/md.0000000000028229] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 11/24/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) is a common neurological disease under the effect of multiple factors. Although some literature analyzes and summarizes the risk factors of CSVD, the conclusions are controversial. To determine the risk factors of CSVD, we conducted this meta-analysis. METHODS Five authoritative databases of PubMed, Embase, Cochrane Library, CNKI, and Wan Fang were searched to find related studies published before November 30, 2020. The literature was screened according to the inclusion and exclusion criteria. We used RevMan 5.4 software to analyze the data after extraction. RESULTS A total of 29 studies involving 16,587 participants were included. The meta-analysis showed that hypertension (odds ratio [OR] 3.16, 95% confidence interval [CI] 2.22-4.49), diabetes (OR 2.15, 95% CI 1.59-2.90), hyperlipidemia (OR 1.64, 95% CI 1.11-2.40), smoking (OR 1.47, 95% CI 1.15-1.89) were significantly related to the risk of lacune, while drinking (OR 1.03, 95% CI 0.87-1.23) was not. And hypertension (OR 3.31, 95% CI 2.65-4.14), diabetes (OR 1.66, 95% CI 2.65-1.84), hyperlipidemia (OR 1.88, 95% CI 1.08-3.25), smoking (OR 1.48, 95% CI 1.07-2.04) were significantly related to the risk of white matter hyperintensity, while drinking (OR 1.41, 95% CI 0.97-2.05) was not. CONCLUSIONS This study suggested that hypertension, diabetes, hyperlipidemia, and smoking are risk factors of CSVD, and we should take measures to control these risk factors for the purpose of preventing CSVD.
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Gonzales MM, Krishnamurthy S, Garbarino V, Daeihagh AS, Gillispie GJ, Deep G, Craft S, Orr ME. A geroscience motivated approach to treat Alzheimer's disease: Senolytics move to clinical trials. Mech Ageing Dev 2021; 200:111589. [PMID: 34687726 PMCID: PMC9059898 DOI: 10.1016/j.mad.2021.111589] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/04/2021] [Accepted: 10/18/2021] [Indexed: 12/29/2022]
Abstract
The pathogenic processes driving Alzheimer's disease (AD) are complex. An incomplete understanding of underlying disease mechanisms has presented insurmountable obstacles for developing effective disease-modifying therapies. Advanced chronological age is the greatest risk factor for developing AD. Intervening on biological aging may alter disease progression and represents a novel, complementary approach to current strategies. Toward this end, cellular senescence has emerged as a promising target. This complex stress response harbors damaged cells in a cell cycle arrested, apoptosis-resistant cell state. Senescent cells accumulate with age where they notoriously secrete molecules that contribute to chronic tissue dysfunction and disease. Thus, benefits of cell survival in a senescent fate are countered by their toxic secretome. The removal of senescent cells improves brain structure and function in rodent models at risk of developing AD, and in those with advanced Aβ and tau pathology. The present review describes the path to translating this promising treatment strategy to AD clinical trials. We review evidence for senescent cell accumulation in the human brain, considerations and strategies for senescence-targeting trials specific to AD, approaches to detect senescent brain cells in biofluids, and summarize the goals of the first senolytic trials for the treatment of AD (NCT04063124 and NCT04685590). This article is part of the Special Issue - Senolytics - Edited by Joao Passos and Diana Jurk.
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Affiliation(s)
- Mitzi M Gonzales
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Sudarshan Krishnamurthy
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA; Bowman Gray Center for Medical Education, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Valentina Garbarino
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Ali S Daeihagh
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Gregory J Gillispie
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Gagan Deep
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Suzanne Craft
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA; Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Miranda E Orr
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA; Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA; Salisbury VA Medical Center, Salisbury, NC, USA.
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Gonzales MM, Krishnamurthy S, Garbarino V, Daeihagh AS, Gillispie GJ, Deep G, Craft S, Orr ME. A geroscience motivated approach to treat Alzheimer’s disease: Senolytics move to clinical trials. Mech Ageing Dev 2021. [DOI: 10.1016/j.mad.2021.111589
expr 868687188 + 807217478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
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Hotz I, Deschwanden PF, Mérillat S, Liem F, Kollias S, Jäncke L. Associations of subclinical cerebral small vessel disease and processing speed in non-demented subjects: A 7-year study. Neuroimage Clin 2021; 32:102884. [PMID: 34911190 PMCID: PMC8633374 DOI: 10.1016/j.nicl.2021.102884] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/26/2021] [Accepted: 11/16/2021] [Indexed: 12/22/2022]
Abstract
Markers of cerebral small vessel disease (CSVD) have previously been associated with age-related cognitive decline. Using longitudinal data of cognitively healthy, older adults (N = 216, mean age at baseline = 70.9 years), we investigated baseline status and change in white matter hyperintensities (WMH) (total, periventricular, deep), normal appearing white matter (NAWM), brain parenchyma volume (BPV) and processing speed over seven years as well as the impact of different covariates by applying latent growth curve (LGC) models. Generally, we revealed a complex pattern of associations between the different CSVD markers. More specifically, we observed that changes of deep WMH (dWMH), as compared to periventricular WMH (pWMH), were more strongly related to the changes of other CSVD markers and also to baseline processing speed performance. Further, the number of lacunes rather than their volume reflected the severity of CSVD. With respect to the studied covariates, we revealed that higher education had a protective effect on subsequent total WMH, pWMH, lacunar number, NAWM volume, and processing speed performance. The indication of antihypertensive drugs was associated with lower lacunar number and volume at baseline and the indication of antihypercholesterolemic drugs came along with higher processing speed performance at baseline. In summary, our results confirm previous findings, and extend them by providing information on true within-person changes, relationships between the different CSVD markers and brain-behavior associations. The moderate to strong associations between changes of the different CSVD markers indicate a common pathological relationship and, thus, support multidimensional treatment strategies.
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Affiliation(s)
- Isabel Hotz
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland; University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
| | - Pascal Frédéric Deschwanden
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Susan Mérillat
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Franziskus Liem
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Spyridon Kollias
- Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland
| | - Lutz Jäncke
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland; University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
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Dong X, Sun H, Mao J, Zhang S, Meng C. Differential expression of circular RNA in patients with white matter hyperintensity and cognitive impairment. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2021; 46:1080-1089. [PMID: 34911837 PMCID: PMC10930227 DOI: 10.11817/j.issn.1672-7347.2021.200692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Indexed: 11/03/2022]
Abstract
OBJECTIVES White matter hyperintensity (WMH) is an important factor leading to cognitive impairment, and the mechanism has not been clarified. In recent years, studies have found that circular RNA (circRNA) has differential expression in cerebrovascular diseases. This study aims to analyze the expression profile of circRNA in peripheral blood mononuclear cell (PBMC) of patients with WMH with cognitive impairment, to screen the differentially expressed circRNA, and to explore the possible role of circRNA in WMH with cognitive impairment. METHODS CircRNA microarray was used to detect the circRNA expression profile of PBMC in patients with WMH with cognitive impairment, and in patients with WMH without cognitive impairment as well as in normal controls (3 cases each, male to female ratio of 2꞉1). The differentially expressed circRNA in patients with WMH with cognitive impairment was screened. The screening criteria for differentially expressed circRNA was fold change (FC) ≥2.0 (|log2FC ≥1) and P<0.05. TargetScan and miRanda target gene analysis software were used to predict the relevant target miRNA, and Genespring software was used to predict the target genes. RESULTS Compared with the control group, there were 5 significantly up-regulated circRNA and 3 down-regulated circRNA in the WMH with cognitive impairment group; 8 circRNA were significantly up-regulated and 2 were down-regulated in the WMH without cognitive impairment group. When compared with the WMH with cognitive impairment group, no co-differentially expressed circRNA was found in WMH without cognitive impairment group and control group. Compared with the control group, the expression of hsa_circ_0092222 was up-regulated and the expressions of hsa_circ_0000662 and hsa_circ_0083773 were down-regulated in the WMH with cognitive impairment group and the WMH without cognitive impairment group, and there was no significant difference between the 2 groups (all P>0.05). Two target miRNA (hsa-miR-19a-3p and hsa-miR-19b-3p) of hsa_circ_0092222 were predicted, and the target gene was ribosomal protein S4, Y-linked 1 (RPS4Y1). Hsa_circ_0000662 predicted a target miRNA (hsa-miR-194) with axis inhibitor 1 (AXIN1) as the target gene. Hsa_circ_0083773 predicted 7 target miRNA, and the target gene was recombinant scavenger receptor class A member 3 (SCARA3). CONCLUSIONS The circRNA expression profile of patients with WMH is changed significantly. The differentially expressed circRNA may be the cause of WMH; Hsa_circ_0092222, hsa_circ_0000662, and hsa_circ_0083773 may regulate the expression of target genes by targeting adsorption of the target miRNA, leading to brain white matter damage through Janus kinase 2 (JAK2)/signal transducers and activators of transcription (STAT3) signal pathway and Wnt signal pathway.There is no significant difference in circRNA expression profile between WMH with or without cognitive impairment. Cognitive impairment in patients with WMH may have other reasons.
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Affiliation(s)
- Xuewei Dong
- Department of Neurology, First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou Inner Mongolia 014010, China.
| | - Hongying Sun
- Department of Neurology, First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou Inner Mongolia 014010, China.
| | - Jian Mao
- Department of Neurology, First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou Inner Mongolia 014010, China
| | - Shuya Zhang
- Department of Neurology, First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou Inner Mongolia 014010, China
| | - Chenxi Meng
- Department of Neurology, First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou Inner Mongolia 014010, China
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Wang Q, Su N, Huang J, Liang X, Yuan J, Yao M, Zhou LX, Jin ZY, Zhang SY, Cui LY, Gong G, Tian F, Zhu YC, Ni J. White Matter but not Gray Matter Volumes Are Associated with Cognition in Community-Dwelling Chinese Populations. J Alzheimers Dis 2021; 84:367-375. [PMID: 34542069 DOI: 10.3233/jad-210367] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Few studies have investigated the association between cognition and brain volume associated with cerebral small vessel disease (CSVD). OBJECTIVE We investigated the association between cognition and brain volume and neuroimaging markers of CSVD in a community-dwelling population. METHODS Participants (n = 993, age≥35 years) from the community-based Shunyi Study were included to investigate the association between neuroimaging markers and cognition cross-sectionally. Magnetic resonance imaging markers included brain volume measurements of the total cerebrum, white matter, gray matter, and CSVD imaging markers. Cognitive performance was assessed using neuropsychological tests of the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Fuld Object Memory, digit span, Trail Making Test (TMT)-A, and TMT-B. RESULTS For brain volume measurement, subcortical white matter fraction was positively associated with MMSE score (β= 0.034, p = 0.0062) and MoCA score (β= 0.034, p = 0.0174), and negatively associated with TMT-A and TMT-B completion time (β= -2.319, p = 0.0002; β= -2.827, p = 0.0073, respectively). For evaluation of CSVD imaging markers, the presence of lacunes was positively associated with TMT-B completion time (β= 17.241, p = 0.0028). CONCLUSION In community-dwelling populations, reduced white matter volumes, as a consequence of aging and vascular damage, are associated with worse global cognition and executive function. Our findings provide potential insights into the correlation between cognition and CSVD-associated subcortical white matter injury.
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Affiliation(s)
- Quan Wang
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ning Su
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jin Huang
- State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
| | - Xinyu Liang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jing Yuan
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ming Yao
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Xin Zhou
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng-Yu Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shu-Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Ying Cui
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Feng Tian
- State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
| | - Yi-Cheng Zhu
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Ni
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhang M, Yu H, Tang W, Ding D, Tang J, Liu N, Xue Y, Ren X, Shi L, Fu J. Decreased nocturnal heart rate variability and potentially related brain regions in arteriosclerotic cerebral small vessel disease. BMC Neurol 2021; 21:361. [PMID: 34530764 PMCID: PMC8447504 DOI: 10.1186/s12883-021-02388-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 08/30/2021] [Indexed: 01/17/2023] Open
Abstract
Background To assess heart rate variability (HRV) among patients with arteriosclerotic cerebral small vessel disease (CSVD) by comparing with control subjects, and to determine whether HRV parameters were related to structural alterations in brain regions involved in autonomic regulation among CSVD patients. Methods We consecutively recruited subjects aged between 50 and 80 years who visited the Stroke Prevention Clinic of our hospital and have completed brain magnetic resonance imaging examination from September 1, 2018 to August 31, 2019. Polysomnography and synchronous analyses of HRV were then performed in all participants. Multivariable binary logistic regression was used to identify the relationship between HRV parameters and CSVD. Participants were invited to further undergo three-dimensional brain volume scan, and the voxel based morphometry (VBM) analysis was used to identify gray matter atrophy. Results Among 109 participants enrolled in this study, 63 were assigned to the arteriosclerotic CSVD group and 46 to the control group. Lower standard deviation of normal-to-normal intervals (SDNN, OR = 0.943, 95% CI 0.903 to 0.985, P = 0.009) and higher ratio of low to high frequency power (LF/HF, OR = 4.372, 95% CI 1.033 to 18.508, P = 0.045) during the sleep period were associated with CSVD, independent of traditional cerebrovascular risk factors and sleep disordered breathing. A number of 24 CSVD patients and 21 controls further underwent three-dimensional brain volume scan and VBM analysis. Based on VBM results, SDNN during the awake time (β = 0.544, 95% CI 0.211 to 0.877, P = 0.001) and the sleep period (β = 0.532, 95% CI 0.202 to 0.862, P = 0.001) were both positively related with gray matter volume within the right inferior frontal gyrus only among CSVD patients. Conclusions Decreased nocturnal HRV is associated with arteriosclerotic CSVD independent of traditional cerebrovascular risk factors and sleep disordered breathing. The structural atrophy of some brain regions associated with cardiac autonomic regulation sheds light on the potential relationship. Trial registration Trial registration number: ChiCTR1800017902. Date of registration: 20 Aug 2018.
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Affiliation(s)
- Miaoyi Zhang
- Department of Neurology, North Huashan Hospital, Fudan University, No.108 Lu Xiang Road, Shanghai, 201900, China.,Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Huan Yu
- Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Weijun Tang
- Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Jie Tang
- Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Na Liu
- Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Yang Xue
- Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Xue Ren
- Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Langfeng Shi
- Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Jianhui Fu
- Department of Neurology, North Huashan Hospital, Fudan University, No.108 Lu Xiang Road, Shanghai, 201900, China. .,Department of Neurology, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Shanghai, 200040, China.
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Liu JY, Yao M, Dai Y, Han F, Zhai FF, Zhang DD, Zhou LX, Ni J, Zhang SY, Cui LY, Zhu YC. Rare NOTCH3 Variants in a Chinese Population-Based Cohort and Its Relationship With Cerebral Small Vessel Disease. Stroke 2021; 52:3918-3925. [PMID: 34404235 DOI: 10.1161/strokeaha.120.032265] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Researches on rare variants of NOTCH3 in the general Chinese population are lacking. This study aims to describe the spectrum of rare NOTCH3 variants by whole-exome sequencing in a Chinese community-based cohort and to investigate the association between rare NOTCH3 variants and age-related cerebral small vessel disease. METHODS The cross-sectional study comprised 1065 participants who underwent whole-exome sequencing and brain magnetic resonance imaging. NOTCH3 variants with minor allele frequency<1% in all 4 public population databases (1000 Genomes, ESP6500siv2_ALL, GnomAD_ALL, and GnomAD_EAS) were defined as rare variants. Multivariable linear and logistic regressions were used to investigate the associations between rare NOTCH3 variants and volume of white matter hyperintensities and cerebral small vessel disease burden. Clinical and imaging characteristics of rare NOTCH3 variant carriers were summarized. RESULTS Sixty-five rare NOTCH3 variants were identified in 147 of 1065 (13.8%) participants, including 57 missense single nucleotide polymorphisms (SNPs), 5 SNPs in splice branching sites, and 3 frameshift deletions. A significantly higher volume of white matter hyperintensities and heavier burden of cerebral small vessel disease was found in carriers of rare NOTCH3 EGFr (epidermal growth factor-like repeats)-involving variants, but not in carriers of EGFr-sparing variants. The carrying rate of rare EGFr-involving NOTCH3 variants in participants with dementia or stroke was significantly higher than those without dementia or stroke (12.4% versus 6.6%, P=0.041). Magnetic resonance imaging signs suggestive of CADASIL were found in 3.4% (5/145) rare EGFr cysteine-sparing NOTCH3 variant carriers but not in 2 cysteine-altering NOTCH3 variant carriers. CONCLUSIONS Carriers of rare NOTCH3 variants involving the EGFr domain may be genetically predisposed to age-related cerebral small vessel disease in the general Chinese population.
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Affiliation(s)
- Jing-Yi Liu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China. (J.-Y.L., M.Y., Y.D., F.H., F.-F.Z., L.-X.Z., J.N., L.-Y.C., Y.-C.Z.)
| | - Ming Yao
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China. (J.-Y.L., M.Y., Y.D., F.H., F.-F.Z., L.-X.Z., J.N., L.-Y.C., Y.-C.Z.)
| | - Yi Dai
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China. (J.-Y.L., M.Y., Y.D., F.H., F.-F.Z., L.-X.Z., J.N., L.-Y.C., Y.-C.Z.)
| | - Fei Han
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China. (J.-Y.L., M.Y., Y.D., F.H., F.-F.Z., L.-X.Z., J.N., L.-Y.C., Y.-C.Z.)
| | - Fei-Fei Zhai
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China. (J.-Y.L., M.Y., Y.D., F.H., F.-F.Z., L.-X.Z., J.N., L.-Y.C., Y.-C.Z.)
| | - Ding-Ding Zhang
- Medical Research Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China (D.-D.Z.)
| | - Li-Xin Zhou
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China. (J.-Y.L., M.Y., Y.D., F.H., F.-F.Z., L.-X.Z., J.N., L.-Y.C., Y.-C.Z.)
| | - Jun Ni
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China. (J.-Y.L., M.Y., Y.D., F.H., F.-F.Z., L.-X.Z., J.N., L.-Y.C., Y.-C.Z.)
| | - Shu-Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China (S.-Y.Z.)
| | - Li-Ying Cui
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China. (J.-Y.L., M.Y., Y.D., F.H., F.-F.Z., L.-X.Z., J.N., L.-Y.C., Y.-C.Z.)
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China. (J.-Y.L., M.Y., Y.D., F.H., F.-F.Z., L.-X.Z., J.N., L.-Y.C., Y.-C.Z.)
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Jacków-Nowicka J, Podgórski P, Bladowska J, Szcześniak D, Rymaszewska J, Zatońska K, Połtyn-Zaradna K, Szuba A, Sa Siadek M, Zimny A. The Impact of Common Epidemiological Factors on Gray and White Matter Volumes in Magnetic Resonance Imaging-Is Prevention of Brain Degeneration Possible? Front Neurol 2021; 12:633619. [PMID: 34326804 PMCID: PMC8315783 DOI: 10.3389/fneur.2021.633619] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 06/07/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: The aim of the study was to evaluate the impact of multiple risk factors (age, diabetes, hypertension, hyperlipidemia, BMI, smoking, alcohol) on the gray and white matter volumes as well as on the burden of white matter hyperintensities (WMH). Material and Methods: The study group consisted of 554 subjects (age range: 50–69 yrs, F/M: 367/187) recruited from the larger cohort of the Polish fraction of the Prospective Urban Rural Epidemiological (PURE) study. The participants answered questionnaires about their lifestyle, underwent physical and psychological examination (MoCA test), laboratory blood tests followed by brain MRI. Volumetric measurements of the total gray matter (GMvol), total white matter (WMvol) and WHM (WMHvol) normalized to the total intracranial volume were performed using the Computational Anatomy Toolbox 12 (CAT12) and Statistical Parametric Maps 12 (SPM12) based on 3D T1-weighted sequence. The influence of risk factors was assessed using multiple regression analysis before and after correction for multiple comparisons. Results: Older age was associated with lower GMvol and WMvol, and higher WMHvol (p < 0.001). Smaller GMvol volume was associated with higher WMHvol (p < 0.001). Higher WMHvol was associated with hypertension (p = 0.01) and less significantly with hyperlipidemia (only before correction p = 0.03). Diabetes, abnormal BMI, smoking and alcohol intake did not have any significant impact on GMvol, WMvol or WMHvol (p > 0.05). MoCA score was not influenced by any of the factors. Conclusions: Gray matter loss is strongly associated with the accumulation of WMH which seems to be potentially preventable by maintaining normal blood pressure and cholesterol levels.
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Affiliation(s)
- Jagoda Jacków-Nowicka
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Przemysław Podgórski
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Joanna Bladowska
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Dorota Szcześniak
- Department of Psychiatry, Wroclaw Medical University, Wrocław, Poland
| | | | - Katarzyna Zatońska
- Department of Social Medicine, Wroclaw Medical University, Wrocław, Poland
| | | | - Andrzej Szuba
- Department of Angiology, Hypertension and Diabetology, Wroclaw Medical University, Wrocław, Poland
| | - Marek Sa Siadek
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Anna Zimny
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
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Zhang H, Qin X, Shi Y, Gao X, Wang F, Wang H, Shang J, Zhao J, Zhang J, Shao F. Genotype-phenotype correlations of heterozygous HTRA1-related cerebral small vessel disease: case report and systematic review. Neurogenetics 2021; 22:187-194. [PMID: 33963955 DOI: 10.1007/s10048-021-00646-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 05/03/2021] [Indexed: 10/21/2022]
Abstract
Cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy (CARASIL) is caused by biallelic HTRA1 pathogenic variants. Recent studies have shown that heterozygous HTRA1 mutations are associated with autosomal dominant cerebral small vessel disease (CSVD). However, large studies evaluating heterozygous HTRA1 carriers are lacking and the genotype-phenotype correlation is unknown. This study aimed to describe these mutations to clarify factors playing a role in the clinical phenotype amongst these patients. We reported two unrelated families and performed a systematic review of all published cases of heterozygous HTRA1-related CSVD. The clinical phenotype severity was independently related to the pathogenicity score (CADD score; p < 0.05) and mutation in the loop 3/loop D domains (p = 0.05); the pathogenicity score was also associated with exon distribution. More importantly, patients with mutations in exon 4 (p = 0.0001) or vascular risk factors (p < 0.05) presented with more severe clinical symptoms. Thus, clinical phenotype severity is influenced by the mutation domain and vascular risk factors. Applying the pathogenicity score to predict clinical outcomes and adopting preventive measures against cerebral vascular risk factors is advantageous.
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Affiliation(s)
- Haohan Zhang
- Department of Neurology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Xiaoming Qin
- Department of Neurology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, 450018, Henan, China
| | - Yingying Shi
- Department of Neurology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Xinya Gao
- Department of Neurology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Fengyu Wang
- Department of Neurology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Huayuan Wang
- Department of Neurology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Junkui Shang
- Department of Neurology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Jingyi Zhao
- Department of Neurology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Jiewen Zhang
- Department of Neurology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China.
| | - Fengmin Shao
- Department of Nephrology, Henan Provincial Key Laboratory of Kidney Disease and Immunology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China.
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50
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Cao S, Nie J, Zhang J, Chen C, Wang X, Liu Y, Mo Y, Du B, Hu Y, Tian Y, Wei Q, Wang K. The Cerebellum Is Related to Cognitive Dysfunction in White Matter Hyperintensities. Front Aging Neurosci 2021; 13:670463. [PMID: 34248601 PMCID: PMC8261068 DOI: 10.3389/fnagi.2021.670463] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 05/03/2021] [Indexed: 11/13/2022] Open
Abstract
Objective White matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) is frequently presumed to be secondary to cerebral small vessel disease (CSVD) and associated with cognitive decline. The cerebellum plays a key role in cognition and has dense connections with other brain regions. Thus, the aim of this study was to investigate if cerebellar abnormalities could occur in CSVD patients with WMHs and the possible association with cognitive performances. Methods A total of 104 right-handed patients with WMHs were divided into the mild WMHs group (n = 39), moderate WMHs group (n = 37), and severe WMHs group (n = 28) according to the Fazekas scale, and 36 healthy controls were matched for sex ratio, age, education years, and acquired resting-state functional MRI. Analysis of voxel-based morphometry of gray matter volume (GMV) and seed-to-whole-brain functional connectivity (FC) was performed from the perspective of the cerebellum, and their correlations with neuropsychological variables were explored. Results The analysis revealed a lower GMV in the bilateral cerebellum lobule VI and decreased FC between the left- and right-sided cerebellar lobule VI with the left anterior cingulate gyri in CSVD patients with WMHs. Both changes in structure and function were correlated with cognitive impairment in patients with WMHs. Conclusion Our study revealed damaged GMV and FC in the cerebellum associated with cognitive impairment. This indicates that the cerebellum may play a key role in the modulation of cognitive function in CSVD patients with WMHs.
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Affiliation(s)
- Shanshan Cao
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Jiajia Nie
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Jun Zhang
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Chen Chen
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Xiaojing Wang
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Yuanyuan Liu
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Yuting Mo
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Baogen Du
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Yajuan Hu
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Yanghua Tian
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Qiang Wei
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Kai Wang
- The School of Mental Health and Psychological Sciences, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
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