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Liu C, Jing J, Jiang J, Wen W, Zhu W, Li Z, Pan Y, Cai X, Liu H, Zhou Y, Meng X, Zhang J, Wang Y, Li H, Jiang Y, Zheng H, Wang S, Niu H, Kochan N, Brodaty H, Wei T, Sachdev P, Liu T, Wang Y. Relationships between brain structure-function coupling in normal aging and cognition: A cross-ethnicity population-based study. Neuroimage 2024; 299:120847. [PMID: 39265959 DOI: 10.1016/j.neuroimage.2024.120847] [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: 03/26/2024] [Revised: 08/19/2024] [Accepted: 09/09/2024] [Indexed: 09/14/2024] Open
Abstract
Increased efforts in neuroscience seek to understand how macro-anatomical and physiological connectomes cooperatively work to generate cognitive behaviors. However, the structure-function coupling characteristics in normal aging individuals remain unclear. Here, we developed an index, the Coupling in Brain Structural connectome and Functional connectome (C-BSF) index, to quantify regional structure-function coupling in a large community-based cohort. C-BSF used diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (fMRI) data from the Polyvascular Evaluation for Cognitive Impairment and Vascular Events study (PRECISE) cohort (2007 individuals, age: 61.15 ± 6.49 years) and the Sydney Memory and Ageing Study (MAS) cohort (254 individuals, age: 83.45 ± 4.33 years). We observed that structure-function coupling was the strongest in the visual network and the weakest in the ventral attention network. We also observed that the weaker structure-function coupling was associated with increased age and worse cognitive level of the participant. Meanwhile, the structure-function coupling in the visual network was associated with the visuospatial performance and partially mediated the connections between age and the visuospatial function. This work contributes to our understanding of the underlying brain mechanisms by which aging affects cognition and also help establish early diagnosis and treatment approaches for neurological diseases in the elderly.
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Affiliation(s)
- Chang Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Jing Jing
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Jiyang Jiang
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Wei Wen
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Wanlin Zhu
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zixiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuesong Pan
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang, China
| | - Hao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yijun Zhou
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jicong Zhang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yilong Wang
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Huaguang Zheng
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang, China
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Nicole Kochan
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Henry Brodaty
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang, China
| | - Perminder Sachdev
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Yongjun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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Liu H, Jing J, Jiang J, Wen W, Zhu W, Li Z, Pan Y, Cai X, Liu C, Zhou Y, Meng X, Wang Y, Li H, Jiang Y, Zheng H, Wang S, Niu H, Kochan N, Brodaty H, Wei T, Sachdev PS, Fan Y, Liu T, Wang Y. Exploring the link between brain topological resilience and cognitive performance in the context of aging and vascular risk factors: A cross-ethnicity population-based study. Sci Bull (Beijing) 2024; 69:2735-2744. [PMID: 38664095 DOI: 10.1016/j.scib.2024.04.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 02/08/2024] [Accepted: 04/07/2024] [Indexed: 09/09/2024]
Abstract
Brain aging is typically associated with a significant decline in cognitive performance. Vascular risk factors (VRF) and subsequent atherosclerosis (AS) play a major role in this process. Brain resilience reflects the brain's ability to withstand external perturbations, but the relationship of brain resilience with cognition during the aging process remains unclear. Here, we investigated how brain topological resilience (BTR) is associated with cognitive performance in the face of aging and vascular risk factors. We used data from two cross-ethnicity community cohorts, PolyvasculaR Evaluation for Cognitive Impairment and Vascular Events (PRECISE, n = 2220) and Sydney Memory and Ageing Study (MAS, n = 246). We conducted an attack simulation on brain structural networks based on k-shell decomposition and node degree centrality. BTR was defined based on changes in the size of the largest subgroup of the network during the simulation process. Subsequently, we explored the negative correlations of BTR with age, VRF, and AS, and its positive correlation with cognitive performance. Furthermore, using structural equation modeling (SEM), we constructed path models to analyze the directional dependencies among these variables, demonstrating that aging, AS, and VRF affect cognition by disrupting BTR. Our results also indicated the specificity of this metric, independent of brain volume. Overall, these findings underscore the supportive role of BTR on cognition during aging and highlight its potential application as an imaging marker for objective assessment of brain cognitive performance.
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Affiliation(s)
- Hao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Jing Jing
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
| | - Jiyang Jiang
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Wei Wen
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Wanlin Zhu
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Zixiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yuesong Pan
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, China
| | - Chang Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Yijun Zhou
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Xia Meng
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yilong Wang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Huaguang Zheng
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, China
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Nicole Kochan
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Henry Brodaty
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, China
| | - Perminder S Sachdev
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney NSW 2031, Australia; Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Medicine, Sydney NSW 2052, Australia
| | - Yubo Fan
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191 , China.
| | - Yongjun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
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Zhou Q, Zhu W, Cai X, Jing J, Wang M, Wang S, Jin A, Meng X, Wei T, Wang Y, Pan Y. Obesity and brain volumes: mediation by cardiometabolic and inflammatory measures. Stroke Vasc Neurol 2024:svn-2023-003045. [PMID: 39160093 DOI: 10.1136/svn-2023-003045] [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: 12/13/2023] [Accepted: 07/25/2024] [Indexed: 08/21/2024] Open
Abstract
BACKGROUND This study aimed to investigate the relationship between overall obesity, central obesity and brain volumes, as well as to determine the extent to which cardiometabolic and inflammatory measures act as mediators in the association between body mass index (BMI), waist-hip ratio (WHR) and brain volumes. METHODS In the context of counterfactual framework, mediation analysis was used to explore the potential mediation in which cardiometabolic and inflammatory measures may mediate the relationship between BMI, WHR, and brain volumes. RESULTS Among 2413 community-dwelling participants, those with high BMI or WHR levels experienced an approximately brain ageing of 4 years. Especially, individuals with high WHR or BMI under the age of 65 exhibited white matter hyperintensity volume (WMHV) differences equivalent to around 5 years of ageing. Conversely, in the high-level WHR population over the age of 65, premature brain ageing in gray matter volume (GMV) exceeded 4.5 years. For GMV, more than 45% of the observed effect of WHR was mediated by glycaemic metabolism indicators. This proportion increases to 78.70% when blood pressure, triglyceride, leucocyte count, and neutrophil count are jointly considered with glycaemic metabolism indicators. Regarding WHR and BMI's association with WMHV, cardiometabolic and inflammatory indicators, along with high-density lipoprotein cholesterol, mediated 35.50% and 20.20% of the respective effects. CONCLUSIONS Overall obesity and central obesity were associated with lower GMV and higher WMHV, a process that is partially mediated by the presence of cardiometabolic and inflammatory measures.
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Affiliation(s)
- Qi Zhou
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Wanlin Zhu
- 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, Zhejiang, China
- Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Mengxing Wang
- 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, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang, China
| | - Aoming Jin
- 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
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 2019RU018, 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
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4
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Zhou M, Zhou Y, Jing J, Wang M, Jin A, Cai X, Meng X, Liu T, Wang Y, Wang Y, Pan Y. Insulin resistance and white matter microstructural abnormalities in nondiabetic adult: A population-based study. Int J Stroke 2024:17474930241266796. [PMID: 38916129 DOI: 10.1177/17474930241266796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
BACKGROUND Insulin resistance (IR) is of growing concern yet its association with white matter integrity remains controversial. We aimed to investigate the association between IR and white matter integrity in nondiabetic adults. METHODS This cross-sectional analysis was conducted based on the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study. A total of 1709 nondiabetic community-dwelling adults with available diffusion-weighted imaging based on brain magnetic resonance imaging and completed oral glucose tolerance test were included. IR was measured noninvasively by insulin sensitivity indices (ISI), including ISIcomposite and ISI0,120, as well as homeostasis model assessment of insulin resistance (HOMA-IR). White matter microstructure abnormalities were identified by diffusion-weighted imaging along with tract-based spatial statistical analysis to compare diffusion metrics between groups. The multivariable linear regression models were applied to measure the association between white matter microstructure abnormalities and IR. RESULTS A total of 1709 nondiabetic individuals with a mean age of 60.8 ± 6.4 years and 54.1% female were included. We found that IR was associated with a significant increase in mean diffusivity, axial diffusivity, and radial diffusivity extensively in cerebral white matter in regions such as the anterior corona radiata, superior corona radiata, anterior limb of internal capsule, external capsule, and body of corpus callosum. The pattern of associations was more marked for ISIcomposite and ISI0,120. However, the effect of IR on white matter integrity was attenuated after, in addition, adjustment for history of hypertension and cardiovascular disease and antihypertensive medication use. CONCLUSION Our findings indicate a significant association between IR and white matter microstructural abnormalities in nondiabetic middle-aged community residents, while these associations were greatly influenced by the history of hypertension and cardiovascular disease, and antihypertensive medication use. Further investigation is needed to clarify the role of IR in white matter integrity, whereas prophylactic strategies of maintaining a low IR status may ameliorate disturbances in white matter integrity. DATA ACCESSIBILITY STATEMENT The data that support the findings of this study are available from the corresponding authors upon reasonable request.
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Affiliation(s)
- Mengyuan Zhou
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yijun Zhou
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Aoming Jin
- 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, Lishui Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang 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
- Chinese Institute for Brain Research, Beijing, China
- National Center for Neurological Diseases, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, 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
- National Center for Neurological Diseases, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, 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
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5
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Liu D, Zhang Y, Cai X, Yang Y, Wang S, Mei L, Jing J, Li S, Wang M, Meng X, Wei T, Wang Y, Wang Y, Pan Y. Associations of 10-year atherosclerotic cardiovascular disease risk scores with cerebral small vessel disease: the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study. Age Ageing 2024; 53:afae161. [PMID: 39078155 DOI: 10.1093/ageing/afae161] [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: 01/02/2024] [Revised: 05/14/2024] [Indexed: 07/31/2024] Open
Abstract
BACKGROUND 10-year atherosclerotic cardiovascular disease (ASCVD) risk scores were useful for predicting large vessel disease, but the relationships between them and cerebral small vessel disease (CSVD) were unclear. Our study aimed to evaluate associations of 10-year ASCVD risk scores with CSVD and its magnetic resonance imaging (MRI) markers. METHODS Community-dwelling residents from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study were included in this cross-sectional study. At baseline, we collected data related to the Framingham Risk Score (FRS), pooled cohort equation (PCE), prediction for ASCVD risk in China (China-PAR) and Systematic COronary Risk Evaluation model 2 (SCORE2), and classified participants into low, moderate and high groups. Participants underwent brain MRI scans. We evaluated white matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces in basal ganglia (BG-EPVS) according to criteria of Wardlaw and Rothwell, and calculated total CSVD score and modified total CSVD score. RESULTS A total of 3063 participants were included, and 53.5% of them were female. A higher FRS was associated with higher total CSVD score (moderate vs. low: cOR 1.89, 95% CI 1.53-2.34; high vs. low: cOR 3.23, 95%CI 2.62-3.97), and the PCE, China-PAR or SCORE2 score was positively related to total CSVD score (P < 0.05). Moreover, higher 10-year ASCVD scores were associated with higher odds of WMH (P < 0.05), lacunes (P < 0.05), CMBs (P < 0.05) and BG-EPVS (P < 0.05). CONCLUSIONS The 10-year ASCVD scores were positively associated with CSVD and its MRI markers. These scores provided a method of risk stratification in the population with CSVD.
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Affiliation(s)
- Dandan Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Yanli Zhang
- 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, Zhejiang, China
- Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Suying Wang
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Mengxing Wang
- 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
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Yongjun 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
| | - 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
- National Center for Neurological Diseases, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, 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
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6
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Cai X, Su X, Zhang Y, Wang S, Pan Y, Jin A, Jing J, Sun J, Mei L, Meng X, Li S, Xia Z, Li Y, Liu Z, Wang Y, He Y, Wei T. Metabolic dysfunction-associated fatty liver disease is associated with the presence of coronary atherosclerotic plaques and plaque burden. Hellenic J Cardiol 2024:S1109-9666(24)00126-X. [PMID: 38871181 DOI: 10.1016/j.hjc.2024.06.002] [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: 10/27/2023] [Revised: 04/23/2024] [Accepted: 06/06/2024] [Indexed: 06/15/2024] Open
Abstract
OBJECTIVE Atherosclerosis is closely related to cardiovascular disease risk. The present study aims to evaluate the association between metabolic dysfunction-associated fatty liver disease (MAFLD) and the presence of coronary atherosclerotic plaques and plaques burden, as detected by computed tomography angiography (CTA), and further test the screening value of MAFLD on the presence of coronary atherosclerotic plaques and plaques burden. METHODS We used data from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study, a community-based cohort. Hepatic steatosis was assessed using the fatty liver index. Coronary atherosclerotic plaques and burden were detected by CTA. The association of MAFLD with the presence of coronary atherosclerotic plaques and burden was assessed by binary and ordinal logistic regression models, respectively. RESULTS Among the 3029 participants (mean age 61.2 ± 6.7 years), 47.9% (1452) presented with MAFLD. MAFLD was associated with an increased odds of the presence of coronary atherosclerotic plaques (OR, 1.27; 95% CI: 1.03-1.56), segment involvement score [cOR (common odds ratio), 1.25; 95% CI, 1.03-1.51], and segment stenosis score (cOR, 1.29; 95% CI, 1.06-1.57). Participants with severe fibrosis or diagnosed as DM-MAFLD subtypes had with higher odds for the presence of coronary atherosclerotic plaques and plaques burden. In addition, MAFLD demonstrated a higher sensitivity for detecting the presence of coronary atherosclerotic plaques and plaque burden (54%-64%) than conventional CVD risk factors (such as diabetes, obesity, and dyslipidemia). CONCLUSION MAFLD is associated with higher odds of having coronary atherosclerotic plaques and plaque burden. Moreover, MAFLD may offer better screening potential for coronary atherosclerosis than established CVD risk factors.
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Affiliation(s)
- Xueli Cai
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Xin Su
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yanli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jingping Sun
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Zhang Xia
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yuhao Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zijun Liu
- School of Basic Medical Sciences, 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 Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yan He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China.
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7
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Zhang Y, Liu D, Cai X, Jin A, Mei L, Jing J, Wang S, Meng X, Li S, Wang M, Yan H, Wei T, Wang Y, Pan Y. Associations of life's essential 8 with extent of multi-territorial atherosclerotic plaques and stenosis: a cross-sectional study. BMC Geriatr 2024; 24:503. [PMID: 38844834 PMCID: PMC11157784 DOI: 10.1186/s12877-024-05119-6] [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: 11/23/2023] [Accepted: 05/29/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Life's Essential 8 (LE8), the recently updated construct for quantifying cardiovascular health, is related to the risks of cardiovascular events. The present study aimed to evaluate associations of LE8 score with the multi-territorial extent of atherosclerosis in a community-dwelling population. METHODS Data were derived from the baseline cross-sectional survey of the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study in Lishui City. The LE8 included overall, medical and behavior LE8 scores, and were categorized as low (< 60), moderate (60-<80), and high (≥ 80) groups. Vascular magnetic resonance imaging was used to evaluate intracranial and extracranial arteries; thoracoabdominal computed tomography angiography to evaluate coronary, subclavian, aorta, renal, ilio-femoral arteries; and ankle-brachial index to evaluate peripheral arteries. The presence of atherosclerotic plaque or stenosis in any territory was defined as plaque or vascular stenosis with 1 territory affected or more in these arteries. The extent of atherosclerotic plaques or stenosis was assessed according to the number of these 8 vascular sites affected, and graded as four grades (none, single territory, 2-3 territories, 4-8 territories). RESULTS Of 3065 included participants, the average age was 61.2 ± 6.7 years, and 53.5% were women (n = 1639). The moderate and high overall LE8 groups were associated with lower extent of multi-territorial plaques [common odds ratio (cOR) 0.44, 95% confidence interval (CI), 0.35-0.55; cOR 0.16, 95%CI, 0.12-0.21; respectively] and stenosis (cOR 0.51, 95%CI, 0.42-0.62; cOR 0.16, 95%CI, 0.12-0.21; respectively) after adjustment for potential covariates. Similar results were observed for medical LE8 score with the extent of multi-territorial plaques and stenosis (P < 0.05). We also found the association between behavior LE8 score and the extent of multi-territorial stenosis (P < 0.05). CONCLUSIONS The higher LE8 scores, indicating healthier lifestyle, were associated with lower presence and extent of atherosclerotic plaque and stenosis in southern Chinese adults. Prospective studies are needed to further validate these findings.
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Affiliation(s)
- Yanli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dandan Liu
- 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
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- 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
| | - Suying Wang
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyi Yan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China.
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
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8
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Wang D, Pan Y, Cai X, Jing J, Yan H, Wang S, Meng X, Mei L, Zhang Y, Li S, Wei T, Zhou Y, Wang Y. Prevalence and Associated Factors of Atherosclerotic Plaque and Stenosis in Renal Arteries: A Community-Based Study. Angiology 2024:33197241238404. [PMID: 38451176 DOI: 10.1177/00033197241238404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
The epidemiology of renal artery atherosclerosis in community populations is poorly documented. This study aimed to determine the prevalence of renal artery plaque (RAP) and atherosclerotic renal artery stenosis (ARAS), and the association of plaque and stenosis with vascular risk factors and kidney disease markers among community-dwelling adults. We conducted a cross-sectional analysis of the Polyvascular Evaluation for Cognitive Impairment and Vascular Events (PRECISE) study. RAP and ARAS were evaluated by thoracoabdominal computed tomography angiography. A total of 3045 adults aged 50-75 years were included. The prevalence of RAP and ARAS was 28.7% and 4.8%, respectively. The prevalence of RAP and ARAS was 41.3% and 7.7% in individuals aged ≥60 years, 42.9% and 8.7% in hypertensives, and 45.4% and 8.5% in individuals with chronic kidney disease. Older age, hypertension, higher total cholesterol level, and lower high-density lipoprotein cholesterol level were independently associated with RAP and ARAS. A higher urinary albumin-creatinine ratio was independently associated with RAP, whereas a reduced estimated glomerular filtration rate was independently associated with ARAS. In conclusion, there was a non-negligible prevalence of RAP and ARAS among the older, community population in China.
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Affiliation(s)
- Dongxue Wang
- Department of Nephrology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurology Disease, Beijing, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurology Disease, Beijing, China
| | - Hongyi Yan
- China National Clinical Research Center for Neurology Disease, Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurology Disease, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yanli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yilun Zhou
- Department of Nephrology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurology Disease, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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9
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Zhou M, Mei L, Jing J, Yang Y, Cai X, Meng X, Jin A, Lin J, Li S, Li H, Wei T, Wang Y, Wang Y, Pan Y. Blood Pressure Partially Mediated the Association of Insulin Resistance and Cerebral Small Vessel Disease: A Community-Based Study. J Am Heart Assoc 2024; 13:e031723. [PMID: 38390815 PMCID: PMC10944068 DOI: 10.1161/jaha.123.031723] [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: 07/14/2023] [Accepted: 01/26/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND Insulin resistance as a significant vascular risk factor has been studied in relation to cerebral small vessel disease (SVD). Evidence suggests that insulin resistance might trigger high blood pressure (BP). Therefore, we aimed to investigate whether insulin resistance impacts SVD with a mediating effect of BP in nondiabetic subjects. METHODS AND RESULTS PRECISE (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) study participants underwent brain and vascular imaging techniques and metabolomic risk factors measurements. Insulin resistance was evaluated by the insulin sensitivity index and the Homeostatic Model Assessment for Insulin Resistance based on the standard oral glucose tolerance test. On average, 2752 nondiabetic subjects (47.1% men) aged 60.9 years were included. The multivariable logistic regression model and linear regression model tested the association of insulin resistance with BP components (including systolic BP [SBP], diastolic BP (DBP), and pulse pressure [PP]) and SVD, and of BP components with SVD. In the mediation analysis, SBP, DBP, and PP were found to partially mediate the detrimental effect of insulin resistance (assessed by the insulin sensitivity index) on lacunes (mediation percentage: SBP, 31.15%; DBP, 34.21%; PP, 10.43%), white matter hyperintensity (mediation percentage: SBP, 37.34%; DBP, 44.15%; PP, 9.80%), and SVD total burden (mediation percentage: SBP, 42.07%; DBP, 49.29%; PP, 11.71%) (all P<0.05). The mediation analysis results were not significant when using the Homeostatic Model Assessment for Insulin Resistance to assess insulin resistance. CONCLUSIONS Higher insulin resistance was associated with SVD in this community-dwelling population. The association of insulin resistance with lacunes, white matter hyperintensity, and SVD total burden was explained in part by BP. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT03178448.
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Affiliation(s)
- Mengyuan Zhou
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui HospitalZhejiang University School of MedicineLishuiChina
| | - Jing Jing
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Yingying Yang
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Xueli Cai
- Department of NeurologyLishui Hospital, Zhejiang University School of MedicineLishuiChina
| | - Xia Meng
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Aoming Jin
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Jinxi Lin
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Shan Li
- Cerebrovascular Research Lab, Lishui HospitalZhejiang University School of MedicineLishuiChina
| | - Hao Li
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Tiemin Wei
- Department of Cardiology, Lishui HospitalZhejiang University School of MedicineLishuiChina
| | - Yongjun Wang
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- National Center for Neurological DiseasesBeijingChina
- Advanced Innovation Center for Human Brain ProtectionCapital Medical UniversityBeijingChina
| | - Yilong Wang
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Chinese Institute for Brain ResearchBeijingChina
- National Center for Neurological DiseasesBeijingChina
- Advanced Innovation Center for Human Brain ProtectionCapital Medical UniversityBeijingChina
- Beijing Laboratory of Oral HealthCapital Medical UniversityBeijingChina
| | - Yuesong Pan
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
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10
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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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11
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Zhou Y, Jing J, Zhang Z, Pan Y, Cai X, Zhu W, Li Z, Liu C, Liu H, Meng X, Cheng J, Wang Y, Li H, Wang S, Niu H, Wen W, Sachdev PS, Wei T, Liu T, Wang Y. Disrupted pattern of rich-club organization in structural brain network from prediabetes to diabetes: A population-based study. Hum Brain Mapp 2024; 45:e26598. [PMID: 38339955 PMCID: PMC10839741 DOI: 10.1002/hbm.26598] [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: 04/28/2023] [Revised: 12/22/2023] [Accepted: 01/04/2024] [Indexed: 02/12/2024] Open
Abstract
The network nature of the brain is gradually becoming a consensus in the neuroscience field. A set of highly connected regions in the brain network called "rich-club" are crucial high efficiency communication hubs in the brain. The abnormal rich-club organization can reflect underlying abnormal brain function and metabolism, which receives increasing attention. Diabetes is one of the risk factors for neurological diseases, and most individuals with prediabetes will develop overt diabetes within their lifetime. However, the gradual impact of hyperglycemia on brain structures, including rich-club organization, remains unclear. We hypothesized that the brain follows a special disrupted pattern of rich-club organization in prediabetes and diabetes. We used cross-sectional baseline data from the population-based PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study, which included 2218 participants with a mean age of 61.3 ± 6.6 years and 54.1% females comprising 1205 prediabetes, 504 diabetes, and 509 normal control subjects. The rich-club organization and network properties of the structural networks derived from diffusion tensor imaging data were investigated using a graph theory approach. Linear mixed models were used to assess associations between rich-club organization disruptions and the subjects' glucose status. Based on the graphical analysis methods, we observed the disrupted pattern of rich-club organization was from peripheral regions mainly located in frontal areas to rich-club regions mainly located in subcortical areas from prediabetes to diabetes. The rich-club organization disruptions were associated with elevated glucose levels. These findings provided more details of the process by which hyperglycemia affects the brain, contributing to a better understanding of the potential neurological consequences. Furthermore, the disrupted pattern observed in rich-club organization may serve as a potential neuroimaging marker for early detection and monitoring of neurological disorders in individuals with prediabetes or diabetes.
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Affiliation(s)
- Yijun Zhou
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical EngineeringBeihang UniversityBeijingChina
| | - Jing Jing
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Zhe Zhang
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Xueli Cai
- Department of Neurology, Lishui HospitalZhejiang University School of MedicineLishuiZhejiangChina
| | - Wanlin Zhu
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Chang Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical EngineeringBeihang UniversityBeijingChina
| | - Hao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical EngineeringBeihang UniversityBeijingChina
| | - Xia Meng
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Jian Cheng
- School of Computer Science and Engineering, Beihang UniversityBeijingChina
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Hao Li
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of MedicineLishuiZhejiangChina
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical EngineeringBeihang UniversityBeijingChina
| | - Wei Wen
- Division of Psychiatry and Mental Health, Faculty of Medicine and Health, Centre for Healthy Brain Ageing (CHeBA)UNSWSydneyNew South WalesAustralia
- Neuropsychiatric Institute, Prince of Wales HospitalSydneyNew South WalesAustralia
| | - Perminder S. Sachdev
- Division of Psychiatry and Mental Health, Faculty of Medicine and Health, Centre for Healthy Brain Ageing (CHeBA)UNSWSydneyNew South WalesAustralia
- Neuropsychiatric Institute, Prince of Wales HospitalSydneyNew South WalesAustralia
| | - Tiemin Wei
- Department of Cardiology, Lishui HospitalZhejiang University School of MedicineZhejiangChina
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical EngineeringBeihang UniversityBeijingChina
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Research Unit of Artificial Intelligence in Cerebrovascular DiseaseChinese Academy of Medical Sciences, 2019RU018BeijingChina
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12
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Zhang Y, Xia Z, Cai X, Su X, Jin A, Mei L, Jing J, Wang S, Meng X, Li S, Wang M, Wei T, Wang Y, He Y, Pan Y. Association of metabolic dysfunction-associated fatty liver disease with systemic atherosclerosis: a community-based cross-sectional study. Cardiovasc Diabetol 2023; 22:342. [PMID: 38093371 PMCID: PMC10720122 DOI: 10.1186/s12933-023-02083-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 12/01/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Data are limited on the association of metabolic dysfunction-associated fatty liver disease (MAFLD) with systemic atherosclerosis. This study aimed to examine the relationship between MAFLD and the extent of atherosclerotic plaques and stenosis, and presence of polyvascular disease (PolyVD). METHODS In this cross-sectional study, MAFLD was diagnosed based on the presence of metabolic dysfunction (MD) and fatty liver disease (FLD). MAFLD was divided into three subtypes: MAFLD with diabetes mellitus (DM), MAFLD with overweight or obesity (OW), as well as MAFLD with lean/normal weight and at least two metabolic abnormalities. Atherosclerosis was evaluated, with vascular magnetic resonance imaging for intracranial and extracranial arteries, thoracoabdominal computed tomography angiography for coronary, subclavian, aorta, renal, iliofemoral arteries, and ankle-brachial index for peripheral arteries. The extent of plaques and stenosis was defined according to the number of these eight vascular sites affected. PolyVD was defined as the presence of stenosis in at least two vascular sites. RESULTS This study included 3047 participants, with the mean age of 61.2 ± 6.7 years and 46.6% of male (n = 1420). After adjusting for potential confounders, MAFLD was associated with higher extent of plaques (cOR, 2.14, 95% CI 1.85-2.48) and stenosis (cOR, 1.47, 95% CI 1.26-1.71), and higher odds of presence of PolyVD (OR, 1.55, 95% CI 1.24-1.94) as compared with Non-MAFLD. In addition, DM-MAFLD and OW-MAFLD were associated with the extent of atherosclerotic plaques and stenosis, and presence of PolyVD (All P < 0.05). However, lean-MAFLD was only associated with the extent of atherosclerotic plaques (cOR, 1.63, 95% CI 1.14-2.34). As one component of MAFLD, FLD per se was associated with the extent of plaques and stenosis in participants with MAFLD. Furthermore, FLD interacted with MD to increase the odds of presence of systemic atherosclerosis (P for interaction ≤ 0.055). CONCLUSIONS MAFLD and its subtypes of DM-MAFLD and OW-MAFLD were associated with the extent of atherosclerotic plaques and stenosis, and presence of PolyVD. This study implicated that FLD might be a potential target of intervention for reducing the deleterious effects of MAFLD on systemic atherosclerosis.
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Affiliation(s)
- Yanli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zhang Xia
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xueli Cai
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Xin Su
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Suying Wang
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China.
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
| | - Yan He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
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13
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Zhang Y, Pan Y, Cai X, Jing J, Yan H, Wang S, Meng X, Mei L, Zhang Y, Li S, Wei T, Zhou Y, Wang Y. Association between Urine Albumin-to-creatinine Ratio and Intracranial Atherosclerotic Plaque in Chinese Adults - Results from the PRECISE Study. J Atheroscler Thromb 2023; 30:1828-1837. [PMID: 37197951 DOI: 10.5551/jat.64156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2023] Open
Abstract
AIMS Intracranial plaque may cause stroke in the absence of luminal stenosis. Although urine albumin-to-creatinine ratio (ACR) has been proved an established risk factor for cardiovascular disease, stroke and carotid atherosclerosis, little is known on the relationship between urine ACR and intracranial plaque. METHODS Subjects with history of stroke or coronary heart disease (CHD) were excluded in the PRECISE study. The intracranial plaque was assessed by vessel wall magnetic resonance imaging (MRI). Subjects were stratified according to ACR tertiles. Logistic regression and ordinal regression were performed to analyze the association between ACR and the presence of intracranial plaque or sum of the stenosis score for each artery. RESULTS 2962 individuals were included with the mean age of 61.0±6.6 years. The median ACR was 11.7mg/g (interquartile range 7.0-22.0 mg/g), and the mean estimated glomerular filtration rate (eGFR) based on combination of creatinine and cystatin C was 88.5±14.8 ml/min·1.73m2. 495 (16.7%) participants had intracranial plaque. The highest ACR tertile with ACR >16.00mg/g was independently associated with the presence of intracranial plaque (OR 1.38, 95% CI: 1.05-1.82, p=0.02) and the odds of higher intracranial plaque burden (common OR 1.39, 95% CI: 1.05-1.83, p=0.02) after adjustment of confounding factors. No significant association was observed between eGFR and intracranial plaque presence or intracranial plaque burden. CONCLUSIONS Among a low-risk community-dwelling population without prior stroke or CHD in China, ACR was independently associated with intracranial plaque presence and plaque burden measured by vessel wall MRI.
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Affiliation(s)
- Yin Zhang
- Department of Nephrology, Beijing Tiantan hospital, Capital Medical University
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University
- China National Clinical Research Center for Neurology Disease
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine
| | - Jing Jing
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University
- China National Clinical Research Center for Neurology Disease
| | - Hongyi Yan
- China National Clinical Research Center for Neurology Disease
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine
| | - Xia Meng
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University
- China National Clinical Research Center for Neurology Disease
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine
| | - Yanli Zhang
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University
| | - Shan Li
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine
| | - Yilun Zhou
- Department of Nephrology, Beijing Tiantan hospital, Capital Medical University
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University
- China National Clinical Research Center for Neurology Disease
- Advanced Innovation Center for Human Brain Protection, Capital Medical University
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences
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14
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Liu D, Cai X, Yang Y, Wang S, Mei L, Jing J, Li S, Wang M, Chen Y, Meng X, Wei T, Wang Y, Wang Y, Pan Y. Association between Life's Essential 8 and Cerebral Small Vessel Disease. Stroke Vasc Neurol 2023:svn-2023-002628. [PMID: 37989483 DOI: 10.1136/svn-2023-002628] [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: 05/31/2023] [Accepted: 10/07/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Given that associations of Life's Essential 8 (LE8) and cerebral small vessel disease (CSVD) or its imaging markers were unclear, we examined relationship between them. METHODS The cross-sectional study included community residents from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study. We calculated the total LE8 score, medical LE8 score and behavioural score, and categorised them into low (<60), moderate (60-79) or high (≥80) group. MRI markers included lacunes, white matter hyperintensities (WMH), enlarged perivascular spaces in basal ganglia (BG-EPVS) and cerebral microbleeds (CMB). In respect of, total CSVD score (0-4 points), WMH, lacunes or CMB were categorised as two grades, and BG-EPVS (N>10) was allocated one point. Based on modified total CSVD score (0-6 points), WMH or CMB was modified to three grades, and BG-EPVS (N>20) was allocated one point. RESULTS Among 3061 participants in this study, 1424 (46.5%) were male. Higher LE8 score was associated with lower total CSVD score (moderate vs low: cOR 0.78, 95% CI 0.63 to 0.96; high vs low: cOR 0.44, 95% CI 0.33 to 0.59), and the medical score was inversely related to the total CSVD score. Furthermore, the medical score was inversely related to odds of WMH (p<0.05), modified WMH (p<0.05), lacunes (p<0.05) or BG-EPVS (p<0.05), and the behavioural score were inversely related to the odds of lacunes and BG-EPVS. CONCLUSIONS Higher LE8 score which indicates better cardiovascular status was associated with lower burden of CSVD and its MRI markers. Longitudinal studies are needed to examine the causality.
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Affiliation(s)
- Dandan Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, People's Republic of China
| | - Xueli Cai
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
- Lishui Clinical Research Center for Neurological Diseases, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Suying Wang
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Yun Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
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15
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Chen J, Shen J, Pan Y, Jing J, Wang Y, Wei T, Lyu L. Association of serum cystatin C level with coronary atherosclerotic plaque burden: a comprehensive analysis of observational studies and genetic study. BMC Cardiovasc Disord 2023; 23:499. [PMID: 37817071 PMCID: PMC10563279 DOI: 10.1186/s12872-023-03506-2] [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: 01/21/2023] [Accepted: 09/12/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND AND AIMS Epidemiological studies show that high circulating cystatin C is associated with risk of cardiovascular disease (CVD), independent of creatinine-based renal function measurements. However, the relationship between serum cystatin C level and coronary atherosclerotic plaque burden is limited. We aimed to evaluate the relationship between circulating cystatin C and coronary atherosclerotic plaque burden. METHODS This study was a cross-sectional study based on China community population. Measurements of plaque burden were based on the segment-involvement score (SIS) and segment stenosis score (SSS), which derived from the Coronary Artery Tree Model Depicting Coronary Artery Plaque Scores. Logistic regression model was used to demonstrate the association between cystatin C level and coronary artery plaque burden. Mendelian randomization (MR) analyses were conducted to assess the causal effect of cystatin C level on coronary atherosclerosis risk. RESULTS A total of 3,043 objects were included in the present study. The odds risks (OR) of severe plaque burden in the highest serum cystatin C levels (OR: 2.50; Cl:1.59-3.91; P < 0.001) and medium-level cystatin C levels (OR: 1.86; 95% Cl: 1.21-2.88; P = 0.005) were significantly higher after fulled adjusted confounders compared with the lowest levels of serum cystatin C by SSS. The MR analysis showed that genetic predicted cystatin C levels was associated with an increased risk of coronary atherosclerosis (OR, 1.004; 95% CI, 1.002-1.006, P < 0.001) . CONCLUSION Elevated serum cystatin C levels were associated with coronary atherosclerotic plaque burden. Cystatin C levels had a causal effect on an increased risk of coronary atherosclerosis at the genetic level. WHAT IS ALREADY KNOWN ON THIS TOPIC?: Coronary artery disease is currently the most common cardiovascular disease and the leading global cause of mortality. Previous studies reported that higher serum cystatin C levels were associated with an increased risk for future cardiovascular events, independent of the normal creatinine levels or estimated glomerular filtration rate (eGFR) values. The presence of high-risk coronary atherosclerotic plaque burden is associated with increased risk of cardiovascular events. However, the association between serum cystatin C and coronary atherosclerotic plaque burden is not very clear. WHAT THIS STUDY ADDS?: Our study demonstrated that the elevated serum cystatin C levels were associated with coronary atherosclerotic plaque burden. In addition, we found that serum cystatin C levels had a causal effect on an increased risk of coronary atherosclerosis at the genetic level. HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY?: Current research finds that serum cystatin C levels were associated with coronary atherosclerosis. The metabolic pathway of cystatin C could be a target for new therapies against CAD.
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Affiliation(s)
- Jun Chen
- Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, China
| | - Jiayi Shen
- Department of Cardiology, Lishui Central Hospital, the Fifth Affiliated Hospital of Wenzhou Medical university, Lishui, 323000, Zhejiang, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- 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
| | - Tiemin Wei
- Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, China.
| | - Lingchun Lyu
- Department of Cardiology, Lishui Central Hospital, the Fifth Affiliated Hospital of Wenzhou Medical university, Lishui, 323000, Zhejiang, China.
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Cai X, Sun J, Jin A, Jing J, Wang S, Mei L, Meng X, Li S, Wei T, Wang Y, Pan Y. Association of insulin resistance with intra- and extra-cranial atherosclerotic burden in the nondiabetic community population. Neurobiol Dis 2023; 186:106268. [PMID: 37625526 DOI: 10.1016/j.nbd.2023.106268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 08/13/2023] [Accepted: 08/22/2023] [Indexed: 08/27/2023] Open
Abstract
AIMS Few population-based studies have investigated the association between insulin resistance and atherosclerotic burden in intra- and extra-cranial arteries. The purpose of this study is to explore the relationship between insulin resistance and intra- and extra-cranial atherosclerotic burden in community-based nondiabetic participants. METHODS This is a cross-sectional analysis from a population-based prospective cohort-PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study in China. The homeostasis model assessment of insulin resistance (HOMA-IR) and insulin sensitivity indices (ISI0-120) were stratified by the quartiles, respectively. The atherosclerotic presence of plaques and burden was evaluated by high-resolution MRI. Binary or ordinal logistic regression was performed to assess the association between HOMA-IR or ISI0-120 and the presence and burden of atherosclerosis. RESULTS Among the 2754 participants, the mean age was 60.9 ± 6.6 years, and 1296 (47.1%) were males. Compared with the lowest quartile of HOMR-IR, the highest quartile of HOMA-IR (indicating a higher level of insulin resistance) was associated with an increased presence of plaques (OR:1.54, 95% CI:1.14-2.08), and atherosclerotic burden (OR:1.53, 95%CI:1.14-2.07) in intracranial arteries. Meanwhile, we observed a similar relationship between HOMA-IR and the presence or burden in extracranial atherosclerosis. The first (indicating a higher level of insulin resistance) quartiles of ISI0-120 were associated with the intracranial plaques (Q1, OR:1.56, 95%CI:1.16-2.11) and atherosclerotic burden (Q1, OR:1.57, 95%CI:1.17-2.12), but not extracranial plaques or atherosclerotic burden, compared with the fourth quartile of ISI0-120. CONCLUSIONS Insulin resistance was associated with an increased intra-and extra-cranial atherosclerotic burden in the nondiabetic elderly Chinese population.
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Affiliation(s)
- Xueli Cai
- Department of Neurology, The Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Jingping Sun
- Department of Neurology, The Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Suying Wang
- Department of Neurology, The Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China
| | - Lerong Mei
- Department of Neurology, The Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Department of Neurology, The Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China
| | - Tiemin Wei
- Department of Cardiology, The Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, 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.
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17
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Tian Y, Cai X, Zhou Y, Jin A, Wang S, Yang Y, Mei L, Jing J, Li S, Meng X, Wei T, Liu T, Wang Y, Pan Y, Wang Y. Impaired glymphatic system as evidenced by low diffusivity along perivascular spaces is associated with cerebral small vessel disease: a population-based study. Stroke Vasc Neurol 2023; 8:413-423. [PMID: 37045543 PMCID: PMC10647865 DOI: 10.1136/svn-2022-002191] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 03/10/2023] [Indexed: 04/14/2023] Open
Abstract
OBJECTIVE This study aims to investigate the associations of glymphatic system with the presence, severity and neuroimaging phenotypes of cerebral small vessel disease (CSVD) in a community-based population. METHOD This report included 2219 community-dwelling people aged 50-75 years who participated in the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events cohort. The diffusivity along perivascular spaces based on diffusion tensor imaging (DTI-ALPS index) was measured to assess glymphatic pathway. The presence and severity of CSVD were estimated using a CSVD score (points from 0 to 4) and a modified CSVD score (points from 0 to 4), which were driven by 4 neuroimaging features of CSVD, including white matter hyperintensity (WMH), enlarged perivascular spaces (EPVS), lacunes, cerebral microbleeds. Brain atrophy (BA) was also evaluated. Binary or ordinal logistic regression analyses were carried out to investigate the relationships of DTI-ALPS index with CSVD. RESULT The mean age was 61.3 (SD 6.6) years, and 1019 (45.9%) participants were men. The average DTI-ALPS index was 1.67±0.14. Individuals in the first quartile (Q1) of the DTI-ALPS index had higher risks of the presence of CSVD (OR 1.77, 95% CI 1.33 to 2.35, p<0.001), modified presence of CSVD (odds ratio (OR) 1.80, 95% CI 1.38 to 2.34, p<0.001), total burden of CSVD (common OR (cOR) 1.89, 95% CI 1.43 to 2.49, p<0.001) and modified total burden of CSVD (cOR 1.95, 95% CI 1.51 to 2.50, p<0.001) compared with those in the fourth quartile (Q4). Additionally, individuals in Q1 of the DTI-ALPS index had increased risks of WMH burden, modified WMH burden, lacunes, basal ganglia-EPVS and BA (all p<0.05). CONCLUSION A lower DTI-ALPS index underlay the presence, severity and typical neuroimaging markers of CSVD, implying that glymphatic impairment may interact with CSVD-related pathology in the general ageing population. TRIAL REGISTRATION NUMBER NCT03178448.
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Affiliation(s)
- Yu Tian
- Department of Neurology, Beijing Tiantan Hospital, 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, Zhejiang, China
| | - Yijun Zhou
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, 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, Zhejiang, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
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18
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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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Wang Y, Cai X, Li H, Jin A, Jiang L, Chen W, Jing J, Mei L, Li S, Meng X, Wei T, Wang Y, Pan Y, Wang Y. Association of intracranial atherosclerosis with cerebral small vessel disease in a community-based population. Eur J Neurol 2023; 30:2700-2712. [PMID: 37294661 DOI: 10.1111/ene.15908] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/01/2023] [Accepted: 06/05/2023] [Indexed: 06/11/2023]
Abstract
BACKGROUND AND PURPOSE The purpose of this study was to explore the relationship between intracranial atherosclerosis and cerebral small vessel disease (CSVD). METHODS Community-dwelling residents of Lishui, China in the PRECISE (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) study were involved. Intracranial atherosclerosis was grouped by the severity of intracranial artery plaques with stenosis and burden. Four imaging markers including lacunes, white matter hyperintensity (WMH), cerebral microbleeds (CMBs), and perivascular spaces (PVS) as well as the CSVD burden scores were assessed. Logistic regression or ordinal logistic regression models with odds ratio (OR) or common OR (cOR) were used to estimate the relationship between intracranial atherosclerosis and CSVD markers and burdens. RESULTS The mean age was 61.20 ± 6.68 years, and 1424 (46.52%) were men among 3061 participants included at baseline. Intracranial atherosclerotic burden was associated with the severity of the lacunes (OR = 4.18, 95% confidence interval [CI] = 1.83-9.58), modified WMH burden (cOR = 1.94, 95% CI = 1.01-3.71), presence of CMBs (OR = 2.28, 95% CI = 1.05-4.94), and CMB burden (OR = 2.23, 95% CI = 1.03-4.80). However, it was not associated with the WMH burden and PVS. Intracranial atherosclerotic burden was associated with CSVD burden (Wardlaw: cOR = 2.73, 95% CI = 1.48-5.05; Rothwell: cOR = 2.70, 95% CI = 1.47-4.95). The association between intracranial atherosclerosis and CSVD was obvious in participants with both anterior and posterior circulation artery stenosis. CONCLUSIONS Based on a Chinese community population, there may be an association between intracranial atherosclerosis and CSVD, but its mechanism in relation to vascular risk factors still needs to be clarified.
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Affiliation(s)
- Yicong Wang
- 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
- Lishui Clinical Research Center for Neurological Diseases, Lishui, China
| | - Hang Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Geriatrics, Affiliated Dalian Friendship Hospital of Dalian Medical University, Dalian, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lingling Jiang
- 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
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 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
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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Chen J, Lyu L, Shen J, Pan Y, Jing J, Wang YJ, Wei T. Epidemiological study of calcified aortic valve stenosis in a Chinese community population. Postgrad Med J 2023; 99:868-874. [PMID: 37117153 DOI: 10.1136/pmj-2022-141721] [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: 03/17/2022] [Accepted: 07/06/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND AND AIMS Due to the ageing global population, calcified aortic valve disease is currently the most common cardiac valve disorder. This study aimed to investigate the prevalence and the risk factors for calcified aortic valve stenosis (CAVS), and develop a prediction model for predicting CAVS risk. METHODS AND RESULTS This study was derived from the cross-sectional baseline survey of the PRECISE study (NCT03178448). The demographic, clinical and laboratory information of each participant was obtained. Univariable and multivariable logistic regression models were used to determine CAVS risk factors. A prediction model for predicting CAVS risk based on risk factors was developed and the result was performed by nomogram. The discrimination of the prediction model was assessed by receiver operating characteristic curve analysis. The degree of fitting for the prediction model was assessed by calibration curve analysis. A total of 3067 participants (1427 men and 1640 women) were included. The prevalence of CAVS among those aged below 60 years old, 60-70 years old and over 70 years old was 4.1%, 10.3% and 21.9%, respectively. Multivariable regression analysis revealed that age (OR: 1.099; 95% CI: 1.076 to 1.123, p<0.001), pulse pressure (OR: 1.020; 95% CI: 1.009 to 1.031, p<0.001), uric acid (OR: 1.003; 95% CI: 1.001 to 1.004, p<0.001), glycosylated haemoglobin (HbA1c) (OR: 1.152; 95% CI: 1.028 to 1.292, p=0.015) and lipoprotein(a) (OR: 1.002; 95% CI: 1.001 to 1.002, p<0.001) were independent risk factors for CAVS. High-density lipoprotein cholesterol (HDL-C) was a protective factor for CAVS (OR: 0.539; 95% CI: 0.349 to 0.831, p=0.005). The prediction model including the above risk factors showed a risk prediction of CAVS with good discrimination. The area under the curve value was found to be 0.743 (95% CI: 0.711 to 0.775). CONCLUSION CAVS is currently prevalent in the elderly Chinese population. Age, pulse pressure, HbA1c, lower-level HDL-C, lipoprotein(a) and uric acid are the independent risk factors for CAVS.
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Affiliation(s)
- Jun Chen
- Department of Cardiology, Lishui Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China
- Department of Cardiology, First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Lingchun Lyu
- Department of Cardiology, Lishui Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China
| | - Jiayi Shen
- Department of Cardiology, Lishui Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
| | - Yong-Jun Wang
- Department of Neurology, Beijing Tiantan Hospital, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China
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Li C, Zhang Y, Mei L, Jin A, Cai X, Pan Y, Jing J, Wang S, Meng X, Li S, Wang M, Wei T, Wang Y, Chen R, Tian Y. Discordantly high Apo B with LDL-C or non-HDL-C in relation to presence and burden of cerebral atherosclerotic plaques. J Clin Lipidol 2023; 17:519-528. [PMID: 37316392 DOI: 10.1016/j.jacl.2023.05.104] [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: 02/11/2023] [Revised: 05/08/2023] [Accepted: 05/29/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND Data are limited on associations between apolipoprotein B (Apo B) and cerebral atherosclerosis. OBJECTIVE Our study aimed to estimate associations between discordant Apo B with low-density lipoprotein cholesterol (LDL-C) or non-high-density lipoprotein cholesterol (Non-HDL-C) and the odds of the presence and burden of intra-/extra-cranial atherosclerotic plaques. METHODS This cross-sectional study was based on the baseline survey from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study, a population-based prospective cohort study. Participants with complete baseline data but without taking lipid-lowering medication were included in this analysis. Discordant Apo B with LDL-C or Non-HDL-C were defined by residuals and cut-off values (LDL-C: 3.4 mmol/L, Non-HDL-C: 4.1 mmol/L). We used binary and ordinal logistic regression models to explore associations between discordant Apo B with LDL-C or Non-HDL-C and the presence and burden of intra-/extra-cranial atherosclerotic plaques. RESULTS A total of 2,943 participants were enrolled in this study. Discordantly high Apo B with LDL-C was associated with an increased odds of the presence of intracranial atherosclerotic plaque [odds ratio (OR),1.28; 95%CI,1.01-1.61], intracranial atherosclerotic burden [common odds ratio (cOR), 1.31; 95%CI,1.04-1.64], the presence of extracranial atherosclerotic plaque (OR, 1.37; 95%CI,1.14-1.66), and extracranial atherosclerotic burden (cOR, 1.32; 95%CI,1.10-1.58) compared with the concordant group. Discordantly low Apo B with Non-HDL-C was associated with decreased odds of the presence and burden of intra-/extra-cranial atherosclerotic plaques. CONCLUSION Discordantly high Apo B with LDL-C or Non-HDL-C were associated with an increased odds of the presence and burden of intra-/extra-cranial atherosclerotic plaques. This demonstrated that discordantly high Apo B might be important for early assessment of risk of cerebral atherosclerotic plaques in addition to LDL-C and Non-HDL-C.
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Affiliation(s)
- Chao Li
- School of Public Health, Capital Medical University, Beijing, China; National Center for Neurological Diseases, Beijing, China
| | - Yanli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Aoming Jin
- 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
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- 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; Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Rui Chen
- School of Public Health, Capital Medical University, Beijing, China.
| | - Yu Tian
- School of Public Health, Capital Medical University, Beijing, China.
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Pan Y, Shen J, Cai X, Chen H, Zong G, Zhu W, Jing J, Liu T, Jin A, Wang Y, Meng X, Yuan C, Wang Y. Adherence to a healthy lifestyle and brain structural imaging markers. Eur J Epidemiol 2023:10.1007/s10654-023-00992-8. [PMID: 37060500 DOI: 10.1007/s10654-023-00992-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 03/13/2023] [Indexed: 04/16/2023]
Abstract
Previous research has linked specific modifiable lifestyle factors to age-related cognitive decline in adults. Little is known about the potential role of an overall healthy lifestyle in brain structure. We examined the association of adherence to a healthy lifestyle with a panel of brain structural markers among 2,413 participants in PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study in China and 19,822 participants in UK Biobank (UKB). A healthy lifestyle score (0-5) was constructed based on five modifiable lifestyle factors: diet, physical activity, smoking, alcohol consumption, and body mass index. Validated multimodal neuroimaging markers were derived from brain magnetic resonance imaging. In the cross-sectional analysis of PRECISE, participants who adopted four or five low-risk lifestyle factors had larger total brain volume (TBV; β = 0.12, 95% CI: - 0.02, 0.26; p-trend = 0.05) and gray matter volume (GMV; β = 0.16, 95% CI: 0.01, 0.30; p-trend = 0.05), smaller white matter hyperintensity volume (WMHV; β = - 0.35, 95% CI: - 0.50, - 0.20; p-trend < 0.001) and lower odds of lacune (Odds Ratio [OR] = 0.48, 95% CI: 0.22, 1.08; p-trend = 0.03), compared to those with zero or one low-risk factors. Meanwhile, in the prospective analysis in UKB (with a median of 7.7 years' follow-up), similar associations were observed between the number of low-risk lifestyle factors (4-5 vs. 0-1) and TBV (β = 0.22, 95% CI: 0.16, 0.28; p-trend < 0.001), GMV (β = 0.26, 95% CI: 0.21, 0.32; p-trend < 0.001), white matter volume (WMV; β = 0.08, 95% CI: 0.01, 0.15; p-trend = 0.001), hippocampus volume (β = 0.15, 95% CI: 0.08, 0.22; p-trend < 0.001), and WMHV burden (β = - 0.23, 95% CI: - 0.29, - 0.17; p-trend < 0.001). Those with four or five low-risk lifestyle factors showed approximately 2.0-5.8 years of delay in aging of brain structure. Adherence to a healthier lifestyle was associated with a lower degree of neurodegeneration-related brain structural markers in middle-aged and older adults.
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Affiliation(s)
- Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Shen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Hui Chen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Wanlin Zhu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China
| | - Aoming Jin
- 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
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Changzheng Yuan
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA.
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
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Tian Y, Li S, Yang Y, Cai X, Jing J, Wang S, Meng X, Mei L, Jin A, Yao D, Wei T, Wang Y, Pan Y, Wang Y. Associations of deep medullary veins with vascular risk factors, laboratory indicators, and cerebral small vessel disease: A population-based study. Brain Behav 2023; 13:e2974. [PMID: 37032510 PMCID: PMC10176017 DOI: 10.1002/brb3.2974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 02/08/2023] [Accepted: 03/10/2023] [Indexed: 04/11/2023] Open
Abstract
OBJECTIVE Deep medullary veins (DMVs) were not considered a typical marker of cerebral small vessel disease (CSVD) due to limited understanding of their involvement in pathology of CSVD. This study aimsto investigate potential vascular risk factors for DMVs and their associations with CSVD. METHODS In total, 1909 community-dwelling participants were included in this analysis. Demographic, clinical, laboratory, and imaging data were collected. DMV scores (0-18) werecalculated as the sum of bilateral frontal, parietal, and occipital regional scores using a semiquantitative visual scale (0-3). The presence, total burden, and imaging markers of CSVD were assessed. Linear regression analyses were conducted to explore potential vascular factors for DMV scores. Binary and ordinal logistic regression analyses were performed to investigate the associations of DMV scores with CSVD and its markers. RESULTS Mean age was 61.8 (SD 6.5) years, and 1027 (53.8%) of participants were men. The median DMV scores were14 (IQR 12-16). DMV scores wererelated to age, male sex, body mass index, diastolic blood pressure, hypercholesterolaemia, atrial fibrillation, current drinking, total cholesterol, triglycerides, low-density lipoprotein, hemoglobin A1c, leukocytes, lymphocytes, hemoglobin, and platelets (p < .05). DMV scores wereassociated with the presence and total burden of CSVD (Rothwell's scale), modified white matter hyperintensity burden, and enlarged perivascular spaces in centrum semiovale (p < .05). However, these associations between DMV scores and CSVD disappeared after adjusting for potential confounders. CONCLUSION Several conventional vascular factors were associated with DMVs. The relationship between DMVs and CSVD was vulnerable, suggesting decreased visible and discontinuous DMVs may differ mechanistically from traditional markers of CSVD.
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Affiliation(s)
- Yu Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - 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
| | - Jing Jing
- 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
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dongxiao Yao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, 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
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Sun J, Meng X, Huang H, Jing J, Pan Y, Mei L, Jin A, Wang Y, Wei T, Cai X. Higher visceral adiposity index and lipid accumulation product in relation to increased risk of atherosclerotic burden in community-dwelling older adults. Exp Gerontol 2023; 174:112115. [PMID: 36758647 DOI: 10.1016/j.exger.2023.112115] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 02/02/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND AND AIMS Visceral adiposity index (VAI) and lipid accumulation product (LAP), as anthropometric indices, have been applied to predict the risk of cardiovascular diseases (CVD). However, few studies investigated the correlation between these two indicators and cardio-cerebro-vascular atherosclerosis in community populations. Our study was to explore the association of VAI and LAP with coronary, intracranial and extracranial atherosclerosis in a community-based asymptomatic middle-aged and older population. METHODS Participants without a history of CVD in the study of PRECISE (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) were included. The sex-special indicators of VAI and LAP were calculated and stratified by the tertiles. The presence of plaque and coronary segmental stenosis score (SSS) were assessed by coronary computed tomography (CTA), as well as intracranial and extracranial atherosclerotic burden were evaluated by high-resolution magnetic resonance imaging (HR-MRI), respectively. Binary or ordinal logistic regression was conducted to assess the association between each of the indexes and the presence and burden of atherosclerosis. RESULTS A total of 2875 subjects were included in the final analysis. The mean age was 60.9 ± 6.6 years and 1329 (46.2 %) participants were males. Compared with the first tertile of VAI, the higher tertile was associated with the presence of plaques (T3 vs T1, OR, 1.49, 95%CI, 1.12-1.98, for males; OR, 1.64, 95%CI, 1.24-2.17, for females) and atherosclerotic burden (T3 vs T1, adjusted cOR, 1.63, 95%CI, 1.24-2.14, for males; adjusted cOR, 1.70, 95%CI, 1.29-2.24, for females) in major coronary arteries. A similar association was found for LAP. VAI level has presented an association with the extracranial atherosclerotic plaques (T3 vs T1, OR, 1.34, 95%CI, 1.02-1.77) and burden (T3 vs T1, adjusted cOR 1.32, 95 % CI 1.00-1.73) only in females. Whereas, for intracranial atherosclerosis, the results failed to show any statistically significant association. CONCLUSIONS Among community-dwelling asymptomatic older adults, VAI and LAP were associated with the presence and burden of coronary atherosclerotic plaques, while VAI presented a weaker significant association with extracranial atherosclerosis in females.
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Affiliation(s)
- Jingping Sun
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Huifen Huang
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Jing Jing
- 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
| | - Lerong Mei
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Aoming Jin
- 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
| | - Tiemin Wei
- Department of Cardiology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China.
| | - Xueli Cai
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China.
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Sun J, Hui Y, Li J, Zhao X, Chen Q, Li X, Wu N, Xu M, Liu W, Li R, Zhao P, Wu Y, Xing A, Shi H, Zhang S, Liang X, Wang Y, Lv H, Wu S, Wang Z. Protocol for Multi-modality MEdical imaging sTudy bAsed on KaiLuan Study (META-KLS): rationale, design and database building. BMJ Open 2023; 13:e067283. [PMID: 36764715 PMCID: PMC9923283 DOI: 10.1136/bmjopen-2022-067283] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/12/2023] Open
Abstract
INTRODUCTION Multi-modality medical imaging study, especially brain MRI, greatly facilitates the research on subclinical brain disease. However, there is still a lack of such studies with a wider age span of participants. The Multi-modality MEdical imaging sTudy bAsed on KaiLuan Study (META-KLS) was designed to address this issue with a large sample size population. METHODS AND ANALYSIS We aim to enrol at least 1000 subjects in META-KLS. All the participants without contraindications will perform multi-modality medical imaging, including brain MRI, retinal fundus photograph, fundus optical coherence tomography (OCT) and ultrasonography of the internal carotid artery (ICA) every 2-4 years. The acquired medical imaging will be further processed with a standardised and validated workflow. The clinical data at baseline and follow-up will be collected from the KaiLuan Study. The associations between multiple risk factors and subclinical brain disease are able to be fully investigated. Researches based on META-KLS will provide a series of state-of-the-art evidence for the prevention of neurological diseases and common chronic diseases. ETHICS AND DISSEMINATION The Kailuan Study and META-KLS have been approved by the Medical Ethics Committee of Kailuan General Hospital (IRB number: 2008 No. 1 and 2021002, respectively). Written informed consent will be acquired from each participant. Results are expected to be published in professional peer-reviewed journals beginning in 2023. TRIAL REGISTRATION NUMBER NCT05453877.
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Affiliation(s)
- Jing Sun
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Ying Hui
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Jing Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xinyu Zhao
- Clinical Epidemiology & EBM Unit, Beijing Friendship Hospital, Capital Medical University; National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Qian Chen
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiaoshuai Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Ning Wu
- Department of Medical Imaging, Yanjing Medical College, Capital Medical University, Beijing, China
| | - Mingze Xu
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Beijing Intelligent Brain Cloud Inc, Beijing, China
| | - Wenjuan Liu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Rui Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Pengfei Zhao
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - YunTao Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Aijun Xing
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Huijing Shi
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Shun Zhang
- Department of Psychiatry, Kailuan Mental Health Center, Tangshan, Hebei, China
| | - Xiaoliang Liang
- Department of Psychiatry, Kailuan Mental Health Center, Tangshan, Hebei, China
| | - Yongxin Wang
- Department of MR, Kailuan General Hospital, Tangshan, Hebei, China
| | - Han Lv
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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Su X, Cai X, Pan Y, Sun J, Jing J, Wang M, Meng X, Wang Y, Wei T, He Y. Discordance of apolipoprotein B with low-density lipoprotein cholesterol or non-high-density lipoprotein cholesterol and coronary atherosclerosis. Eur J Prev Cardiol 2022; 29:2349-2358. [PMID: 36166398 DOI: 10.1093/eurjpc/zwac223] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/21/2022] [Accepted: 09/23/2022] [Indexed: 01/11/2023]
Abstract
AIMS High level of apolipoprotein B (Apo B) is associated with incident subclinical atherosclerosis. The present study evaluated the associations between discordant Apo B with low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and coronary atherosclerotic burden. METHODS AND RESULTS This study enrolled 3043 participants aged 50-75 years from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study that was conducted in the community in Lishui City, China. Discordant Apo B with LDL-C and non-HDL-C were defined by residuals and medians. Coronary atherosclerotic burden was evaluated by segment involvement score (SIS) and segment stenosis score (SSS) which were determined by computed tomography angiography. We performed discordance analyses examining associations of discordant Apo B with LDL-C or non-HDL-C with the coronary atherosclerotic burden. The mean age of participants was 61.2 ± 6.7 years, 53.6% were females. Participants with discordant high Apo B relative to non-HDL-C were at higher odds of plaques [odds ratio (OR), 1.30; 95% confidence interval (CI), 1.08-1.57], SIS [common odds ratio (cOR), 1.35; 95% CI, 1.14-1.60], and SSS (cOR, 1.40; 95% CI, 1.18-1.67) compared with concordant group. However, discordantly low Apo B with non-HDL-C was associated with decreased odds of the coronary atherosclerotic plaques and its burden. Similar results were shown for discordant analyses for Apo B with LDL-C. CONCLUSION Discordantly high Apo B with LDL-C and non-HDL-C were associated with an increased odds of the coronary atherosclerotic plaques and its burden. These findings highlighted the importance of Apo B for primary prevention of coronary atherosclerosis.
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Affiliation(s)
- Xin Su
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jingping Sun
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, 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 Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yan He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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27
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Wang M, Mei L, Jin A, Cai X, Jing J, Wang S, Meng X, Li S, Wei T, Wang Y, Pan Y. Association between triglyceride glucose index and atherosclerotic plaques and Burden: findings from a community-based study. Cardiovasc Diabetol 2022; 21:204. [PMID: 36221073 PMCID: PMC9555111 DOI: 10.1186/s12933-022-01638-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 09/22/2022] [Indexed: 11/27/2022] Open
Abstract
Background Insulin resistance is an important cause of cardiovascular events and cerebral infarction development. We aimed to investigate the association of the triglyceride glucose (TyG) index with atherosclerotic burden and plaques in coronary, intra- and extracranial arteries in participants with non-diabetes, and compared the results with that of the homeostasis model assessment of insulin resistance (HOMA-IR). Methods Participants without diabetes in the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study were included. We categorized participants by tertiles of the TyG index and the concordance/discordance of the TyG index and HOMA-IR. Discordance was defined as a TyG index equal to or greater than the median and HOMA-IR less than the median, or vice versa. The atherosclerosis plaques and burden in coronary, intra- and extracranial arteries were evaluated. The association of HOMA-IR and TyG index with the presence of atherosclerotic plaques and atherosclerotic burden was assessed by binary and ordinal logistic regression models, respectively. Results Among 2,719 included participants, the average age was 60.9 (± 6.6) years, and 53.0% were female. Both TyG index and HOMA-IR were associated with increased odds of coronary/intra- and extracranial atherosclerotic plaques and burden after adjustment for age, sex, currenting smoking and drinking (all P < 0.05). However, the association between HOMA-IR and intracranial atherosclerosis was not statistically significant after adjustment for all potential confounders. Discordantly high TyG index with HOMA-IR had a higher odd of extracranial plaque (odds ratio [OR]: 1.34, 95% confidence interval [CI]: 1.04–1.71), extracranial atherosclerotic burden (common odds ratio [cOR]: 1.35, 95% CI 1.06–1.71), coronary plaque (OR: 1.30, 95% CI 1.01–1.68) and segment stenosis score (cOR: 1.39, 95% CI 1.09–1.78) as compared with concordantly low TyG index with HOMA-IR. The TyG index had a better net reclassification improvement ability than HOMA-IR for atherosclerotic plaques when adding to baseline model. Conclusion Elevated TyG index was associated with increased odds of atherosclerosis in coronary/intra- and extracranial arteries. Compared with HOMA-IR, the TyG index was more strongly associated with intracranial atherosclerosis. Moreover, discordantly high TyG index with HOMA-IR was also important for atherosclerosis identification. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01638-x.
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Affiliation(s)
- Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, 100070, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, 100070, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, 100070, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, 100070, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, 100070, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, 100070, Beijing, China. .,China National Clinical Research Center for Neurological Diseases, Beijing, China.
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28
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Zhou M, Wang S, Jing J, Yang Y, Cai X, Meng X, Mei L, Lin J, Li S, Li H, Wei T, Wang Y, Pan Y, Wang Y. Insulin resistance based on postglucose load measure is associated with prevalence and burden of cerebral small vessel disease. BMJ Open Diabetes Res Care 2022; 10:10/5/e002897. [PMID: 36220196 PMCID: PMC9557259 DOI: 10.1136/bmjdrc-2022-002897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/25/2022] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Cerebral small vessel disease (cSVD) is highly prevalent and results in irreversible cognitive impairment and reduced quality of life. Previous studies reported controversial associations between insulin resistance and cSVD. Here, we estimated the association between insulin resistance and cSVD in non-diabetic communities in southeastern China. RESEARCH DESIGN AND METHODS The Polyvascular Evaluation for Cognitive Impairment and Vascular Events study (NCT03178448) recruited 3670 community-dwelling adults. We estimated the association of insulin resistance, assessed by the insulin sensitivity index (ISI0,120) and the homeostatic model assessment for insulin resistance (HOMA-IR) based on the standard oral glucose tolerance test, with cSVD in those without a history of diabetes mellitus. cSVD was measured for both main neuroimaging manifestations of cSVD and total SVD burden scores. RESULTS A total of 2752 subjects were enrolled. In the multivariable logistic regression analysis, the first quartile of ISI0,120 was found to be potentially associated with an increased risk of lacunes (OR 1.96, 95% CI 1.15 to 3.36), severe age-related white matter changes (OR 1.97, 95% CI 1.15 to 3.38), and higher total SVD burden (4-point scale: common OR (cOR) 1.34, 95% CI 1.04 to 1.72; 6-point scale: cOR 1.43, 95% CI 1.14 to 1.79). The associations between HOMA-IR and lacunes (OR 1.90, 95% CI 1.11 to 3.25) and the 4-point scale of total SVD burden (cOR 1.33, 95% CI 1.04 to 1.70) were also significant after adjustment for age, gender, medical history, and medications. However, the associations were not statistically significant after further adjustment for blood pressure/hypertension and body mass index (BMI). CONCLUSIONS A potential association was found between insulin resistance and cSVD, and the ISI0,120 index presented a greater association with increased risk of cSVD as compared with the HOMA-IR. However, these associations were greatly influenced by blood pressure and BMI.
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Affiliation(s)
- Mengyuan Zhou
- 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, Lishui Hospital, Zhejiang University School of Medicine, 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
| | - 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, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Jinxi Lin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, 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
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- National Center for Neurological Diseases, Beijing, China
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Reduced white matter microstructural integrity in prediabetes and diabetes: A population-based study. EBioMedicine 2022; 82:104144. [PMID: 35810560 PMCID: PMC9278067 DOI: 10.1016/j.ebiom.2022.104144] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 06/06/2022] [Accepted: 06/22/2022] [Indexed: 11/27/2022] Open
Abstract
Background White matter (WM) microstructural abnormalities have been observed in diabetes. However, evidence of prediabetes is currently lacking. This study aims to investigate the WM integrity in prediabetes and diabetes. We also assess the association of WM abnormalities with glucose metabolism status and continuous glucose measures. Methods The WM integrity was analyzed using cross-sectional baseline data from a population-based PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study. The cohort, including a total of 2218 cases with the mean age of 61.3 ± 6.6 years and 54.1% female, consisted of 1205 prediabetes which are categorized into two subgroups (a group of 254 prediabetes with combined impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) and the other group of 951 prediabetes without combined IFG/IGT), 504 diabetes, and 509 normal control subjects. Alterations of WM integrity were determined by diffusion tensor imaging along with tract-based spatial statistics analysis to compare diffusion metrics on WM skeletons between groups. The mixed-effects multivariate linear regression models were used to assess the association between WM microstructural alterations and glucose status. Findings Microstructural abnormalities distributed in local WM tracts in prediabetes with combined IFG/IGT and spread widely in diabetes. These WM abnormalities are associated with higher glucose measures. Interpretation Our findings suggest that WM microstructural abnormalities are already present at the prediabetes with combined IFG/IGT stage. Preventative strategies should begin early to maintain normal glucose metabolism and avert further destruction of WM integrity. Funding Partially supported by National Key R&D Program of China (2016YFC0901002).
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Pan Y, Cai X, Jing J, Wang S, Meng X, Mei L, Yang Y, Jin A, DongXiao Y, Li S, Li H, Wei T, Wang Y, Wang Y. Differential associations of lipoprotein(a) level with cerebral large artery and small vessel diseases. Stroke Vasc Neurol 2022; 7:svn-2022-001625. [PMID: 35851316 PMCID: PMC9811597 DOI: 10.1136/svn-2022-001625] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 07/05/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND AND PURPOSE Cerebral large artery and small vessel diseases are related to different pathogenetic mechanisms and have different risk factor profile. Lipoprotein(a) (Lp(a)) was shown to promote atherosclerosis but data was limited on its association with cerebral small vessel diseases (cSVD). The objective of this study was to assess the associations of Lp(a) level with the two types of cerebrovascular diseases. METHODS Community-dwelling subjects aged 50-75 years from the baseline survey of The PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study were included. Lp(a) concentrations was measured and categorised into three groups according to the tertiles. Eligible participants were scanned by a 3.0T MRI scanner and assessed for intracranial atherosclerosis and cSVD burden based on four imaging markers. RESULTS This study included 3059 subjects. The average age of the participants was 61.2±6.7 years, and 53.5% (1636) were female. Compared with the first tertile, subjects with the second and third tertiles of Lp(a) concentrations were associated with an increased odds of presence of intracranial plaque (18.7% vs 15.4%, adj.OR 1.37, 95% CI 1.08 to 1.75; 18.9% vs 15.4%, adj.OR 1.34, 95% CI 1.05 to 1.72). Similar associations were observed for intracranial atherosclerotic burden. Whereas, subjects with the third tertile of Lp(a) level had a decreased odds of presence of cSVD (25.9% vs 31.7%, adj.OR 0.74, 95% CI 0.60 to 0.92) and lower cSVD burden (adj.cOR 0.76, 95% CI 0.62 to 0.94). CONCLUSIONS In this study, Lp(a) concentrations were positively associated with presence and burden of intracranial atherosclerosis, but was inversely associated with cSVD. TRIAL REGISTRATION NUMBER NCT03178448.
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Affiliation(s)
- Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Yao DongXiao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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31
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Pan Y, Jing J, Cai X, Jin Z, Wang S, Wang Y, Zeng C, Meng X, Ji J, Li L, Lyu L, Zhang Z, Mei L, Li H, Li S, Wei T, Wang Y. Prevalence and Vascular Distribution of Multiterritorial Atherosclerosis Among Community-Dwelling Adults in Southeast China. JAMA Netw Open 2022; 5:e2218307. [PMID: 35759265 PMCID: PMC9237794 DOI: 10.1001/jamanetworkopen.2022.18307] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Data are limited on the prevalence and vascular distribution of multiterritorial atherosclerotic plaque and stenosis in community populations. OBJECTIVE To investigate the prevalence and vascular distribution of multiterritorial atherosclerotic plaque and stenosis in older, community-dwelling populations in China. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study was based on the baseline survey from the Polyvascular Evaluation for Cognitive Impairment and Vascular Events (PRECISE) study, a population-based prospective cohort study that enrolled community-dwelling adults aged 50 to 75 years based on cluster sampling from 6 villages and 4 living communities of Lishui city in southeast China. Data were collected from May 2017 to September 2019 and analyzed from September to November 2021. MAIN OUTCOMES AND MEASURES Atherosclerotic plaque and stenosis at baseline were assessed in multiple vascular territories. Brain vessel wall magnetic resonance imaging (MRI) for intracranial and extracranial arteries; computed tomography angiography (CTA) for coronary, subclavian, aorta, renal, and iliofemoral arteries; and ankle-brachial index for peripheral arteries were performed at baseline survey. The extent of atherosclerosis was assessed according to the number of these 8 vascular sites affected, and polyvascular lesions were defined as at least 2 affected sites. RESULTS A total of 3433 of 4202 invited individuals consented to participate in the study. After excluding 366 participants with contraindications for MRI or CTA scanning, with life expectancies of 4 years of fewer, or with mental disease, a total of 3067 community-dwelling adults were enrolled. The mean (SD) age was 61.2 (6.7) years; 1640 (53.5%) were women, and 74 (2.4%) had prevalent ASCVD. Most participants (2870 [93.6%]) had atherosclerotic plaques in at least 1 vascular territory. Atherosclerotic plaques were mostly detected in the aorta (2419 [79.6%]) and iliofemoral arteries (2312 [75.8%]), followed by subclavian (1500 [49.8%]), coronary (1366 [44.9%]), extracranial (1110 [36.4%]), renal (873 [28.7%]), and intracranial (542 [17.7%]) arteries. A substantial proportion of participants (1180 [38.5%]) had arterial stenosis of 50% or greater, predominantly affecting the coronary (542 [17.8%]) and iliofemoral (527 [17.3%]) arteries. Polyvascular atherosclerotic plaque was observed in 2541 participants (82.8%), with 1436 (46.8%) with plaque affecting 4 or more vascular territories, and polyvascular stenosis was observed in 412 patients (13.4%). CONCLUSIONS AND RELEVANCE In this study, atherosclerotic plaque was highly prevalent in the older community population in China, and a substantial proportion of individuals reach stenosis of 50% or greater.
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Affiliation(s)
- Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- 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, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Zening Jin
- Department of Cardiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Chunlai Zeng
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiansong Ji
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Long Li
- Department of Cardiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Lingchun Lyu
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Zhe Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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Jiang L, Cai X, Yao D, Jing J, Mei L, Yang Y, Li S, Jin A, Meng X, Li H, Wei T, Wang Y, Pan Y, Wang Y. Association of inflammatory markers with cerebral small vessel disease in community-based population. J Neuroinflammation 2022; 19:106. [PMID: 35513834 PMCID: PMC9072153 DOI: 10.1186/s12974-022-02468-0] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/26/2022] [Indexed: 11/10/2022] Open
Abstract
Background This study investigated the relationships of neutrophil count (NC), neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) with cerebral small vessel disease (CSVD). Methods A total of 3052 community-dwelling residents from the Poly-vasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study were involved in this cross-sectional study. CSVD burden and imaging markers, including white matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces in basal ganglia (BG-EPVS), were assessed according to total CSVD burden score. The associations of NC, NLR and SII with CSVD and imaging markers were evaluated using logistic regression models. Furthermore, two-sample Mendelian randomization (MR) analysis was performed to investigate the genetically predicted effect of NC on CSVD. The prognostic performances of NC, NLR and SII for the presence of CSVD were assessed. Results At baseline, the mean age was 61.2 ± 6.7 years, and 53.5% of the participants were female. Higher NC was suggestively associated with increased total CSVD burden and modified total CSVD burden (Q4 vs. Q1: common odds ratio (cOR) 1.33, 95% CI 1.05–1.70; cOR 1.28, 95% CI 1.02–1.60) and marginally correlated with the presence of CSVD (OR 1.29, 95% CI 1.00–1.66). Furthermore, elevated NC was linked to a higher risk of lacune (OR 2.13, 95% CI 1.25–3.62) and moderate-to-severe BG-EPVS (OR 1.67, 95% CI 1.14–2.44). A greater NLR was related to moderate-to-severe BG-EPVS (OR 1.68, 95% CI 1.16–2.45). Individuals with a higher SII had an increased risk of modified WMH burden (OR 1.35, 95% CI 1.08–1.69) and moderate-to-severe BG-EPVS (OR 1.70, 95% CI 1.20–2.41). MR analysis showed that genetically predicted higher NC was associated with an increased risk of lacunar stroke (OR 1.20, 95% CI 1.04–1.39) and small vessel stroke (OR 1.21, 95% CI 1.06–1.38). The addition of NC to the basic model with traditional risk factors improved the predictive ability for the presence of CSVD, as validated by the net reclassification index and integrated discrimination index (all p < 0.05). Conclusions This community-based population study found a suggestive association between NC and CSVD, especially for BG-EPVS and lacune, and provided evidence supporting the prognostic significance of NC. Supplementary Information The online version contains supplementary material available at 10.1186/s12974-022-02468-0.
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Affiliation(s)
- Lingling Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, 323000, China
| | - Dongxiao Yao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, 323000, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Shan Li
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, 323000, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, 323000, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China. .,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China.
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China. .,China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China.
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