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Huang CJ, Zhou X, Yuan X, Zhang W, Li MX, You MZ, Zhu XQ, Sun ZW. Contribution of Inflammation and Hypoperfusion to White Matter Hyperintensities-Related Cognitive Impairment. Front Neurol 2022; 12:786840. [PMID: 35058875 PMCID: PMC8763977 DOI: 10.3389/fneur.2021.786840] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/22/2021] [Indexed: 01/15/2023] Open
Abstract
White matter hyperintensities (WMHs) of presumed vascular origin are one of the most important neuroimaging markers of cerebral small vessel disease (CSVD), which are closely associated with cognitive impairment. The aim of this study was to elucidate the pathogenesis of WMHs from the perspective of inflammation and hypoperfusion mechanisms. A total of 65 patients with WMHs and 65 healthy controls were enrolled in this study. Inflammatory markers measurements [hypersensitive C-reactive protein (hsCRP) and lipoprotein-associated phospholipase A2 (Lp-PLA2)], cognitive evaluation, and pseudocontinuous arterial spin labeling (PCASL) MRI scanning were performed in all the subjects. The multivariate logistic regression analysis showed that Lp-PLA2 was an independent risk factor for WMHs. Cerebral blood flow (CBF) in the whole brain, gray matter (GM), white matter (WM), left orbital medial frontal gyrus [MFG.L (orbital part)], left middle temporal gyrus (MTG.L), and right thalamus (Tha.R) in the patients was lower than those in the controls and CBF in the left triangular inferior frontal gyrus [IFG.L (triangular part)] was higher in the patients than in the controls. There was a significant correlation between Lp-PLA2 levels and CBF in the whole brain (R = -0.417, p < 0.001) and GM (R = -0.278, p = 0.025), but not in the WM in the patients. Moreover, CBF in the MFG.L (orbital part) and the Tha.R was, respectively, negatively associated with the trail making test (TMT) and the Stroop color word test (SCWT), suggesting the higher CBF, the better executive function. The CBF in the IFG.L (triangular part) was negatively correlated with attention scores in the Cambridge Cognitive Examination-Chinese Version (CAMCOG-C) subitems (R = -0.288, p = 0.020). Our results revealed the vascular inflammation roles in WMHs, which may through the regulation of CBF in the whole brain and GM. Additionally, CBF changes in different brain regions may imply a potential role in the modulation of cognitive function in different domains.
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Affiliation(s)
- Chao-Juan Huang
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xia Zhou
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xin Yuan
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wei Zhang
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ming-Xu Li
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Meng-Zhe You
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiao-Qun Zhu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zhong-Wu Sun
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
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102
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Zhao J, Kong Q, Wang M, Huang H, Zhou X, Guo Y, Zhang Y, Wu L, Yu Z, Luo X. Association of Excessive Daytime Sleepiness with Cerebral Small Vessel Disease in Community-Dwelling Older Adults. Nat Sci Sleep 2022; 14:765-773. [PMID: 35478722 PMCID: PMC9037722 DOI: 10.2147/nss.s357586] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 04/05/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Excessive daytime sleepiness (EDS) and cerebral small vessel disease (CSVD) are common problems among older adults; however, their association is not clear. The present study aimed to investigate the frequency of EDS in CSVD patients and the relationship between EDS and neuroimaging markers of CSVD. PATIENTS AND METHODS We conducted a cross-sectional study among 1076 community-dwelling older adults aged 55-85 years. EDS was measured using the Epworth Sleepiness Scale (ESS), and EDS was defined as an ESS score greater than 10. Binary logistic regression was performed to assess the association between EDS and neuroimaging markers of CSVD. RESULTS Of the 1076 participants (mean age: 65.58 ± 6.46 years, 60.5% female), the prevalence of EDS was 10.0%. EDS was more frequent in participants with CSVD than in the total sample (20.0% vs 10.0%, p <0.001). In fully adjusted models, EDS was significantly correlated with CSVD burden (OR = 1.39, 95% CI 1.16 to 1.68, p <0.001), the severity of white matter hyperintensities (WMH) (OR = 1.33, 95% CI 1.14 to 1.54, p <0.001), and presence of lacunes (OR = 2.47, 95% CI 1.53 to 4.00, p <0.001) but not with the presence of cerebral microbleeds (CMBs) (OR=1.54, 95% CI 0.92 to 2.56, p = 0.099) or severity of enlarged perivascular spaces (EPVS) in basal ganglia (OR = 1.16, 95% CI 0.70 to 1.92, p = 0.564). CONCLUSION We found a high frequency of EDS symptoms in CSVD individuals. Further, EDS was significantly associated with WMH, lacunes, and CSVD burden. Our findings further suggest patients with CSVD may exhibit abnormal sleep-wake patterns.
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Affiliation(s)
- Jing Zhao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Qianqian Kong
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Minghuan Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Hao Huang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Xirui Zhou
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yinping Guo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yi Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Lingshan Wu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Zhiyuan Yu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Xiang Luo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
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103
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Su Y, Guo Y, Chen Z, Zhang M, Liu J, Wang Q, Yao T. Influence of Pre-Existing Cerebral Small Vessel Disease on the Outcome of Acute Cardioembolic Stroke: A Retrospective Study. Neuropsychiatr Dis Treat 2022; 18:899-905. [PMID: 35450393 PMCID: PMC9017701 DOI: 10.2147/ndt.s359768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 04/01/2022] [Indexed: 12/01/2022] Open
Abstract
PURPOSE This study was to explore the role of pre-existing small vessel disease (SVD) on the 3-month outcomes of acute cardioembolic stroke (CES) patients. PATIENTS AND METHODS Data of 189 consecutive acute CES patients at a single center were retrospectively enrolled. SVD imaging markers of lacunes, white matter hyperintensities (WMH) and enlarged perivascular spaces (EPVS) were evaluated and their total burden score (0-3 points) was calculated. Patients were divided into the good functional outcome group (modified Rankin scale, mRS ≤ 2) and the poor functional outcome group (mRS ≥ 3) at 3 months after stroke onset. The effect of each single SVD marker and its total burden score on the outcome was identified using binary logistic regression. RESULTS Overall, 100 (52.9%), 52 (27.1%), 28 (14.8%) and 9 (4.8%) patients had 0, 1, 2 and 3 SVD imaging markers. Patients with a total SVD burden score of 2 and 3 were significantly older and had higher baseline National Institutes of Health Stroke Scale (NIHSS) score than those with a score of 0 and 1 (P<0.01). Forty-seven (24.9%) patients had a poor outcome. Patients in the poor outcome group had significantly higher baseline NIHSS score, increased incidence of stroke associated pneumonia, and heavier burden of lacunes, WMH and EPVS, and thus had elevated total SVD burden score than those in good outcome group (P<0.05). After adjusting for potential confounders, the WMH (odds ratio [OR] = 2.6777, 95% confidence interval [CI] = 1.052-6.812, P = 0.039) and the total SVD burden score (OR = 1.717, 95% CI = 1.072-2.749, P = 0.024) were, respectively, independent risk factors for a poor outcome. CONCLUSION The pre-existing SVD may be associated with the 3-month prognosis of CES.
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Affiliation(s)
- Yan Su
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China
| | - Yikun Guo
- Department of Neurology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China
| | - Zhuoyou Chen
- Department of Neurology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China
| | - Min Zhang
- Department of Neurology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China
| | - Jianfang Liu
- Department of Neurology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China
| | - Qian Wang
- Department of Neurology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China
| | - Tian Yao
- Department of Neurology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China
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Li X, Qin RR, Chen J, Jiang HF, Tang P, Wang YJ, Xu DW, Xu T, Yuan TF. Neuropsychiatric symptoms and altered sleep quality in cerebral small vessel disease. Front Psychiatry 2022; 13:882922. [PMID: 36051552 PMCID: PMC9424898 DOI: 10.3389/fpsyt.2022.882922] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Sleep disturbance and neuropsychiatric symptoms are common clinical symptoms of cerebral small vessel disease (CSVD), but the underlying mechanism is unclear. Here, we investigated the relationship between sleep quality and neuropsychiatric performance in patients with CSVD. METHODS A total of 30 patients with CSVD and 35 healthy controls (HCs) were recruited. The 13-item Beck Depression Inventory (BDI-13), Beck Anxiety Inventory (BAI), and Symptom Check List 90 (SCL90) were used to assess depression, anxiety, and other psychological symptoms, respectively. Sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI), and cognitive function was tested using Montreal Cognitive Assessment (MoCA). RESULTS When compared to the HC group, the patients with CSVD showed increased anxiety and neuropsychiatric symptoms, worse sleep quality, and impaired cognition (p < 0.05). The prevalence of comorbid poor sleep quality in the patients with CSVD was approximately 46%. The patients with CSVD with poor sleep quality also had more severe neuropsychiatric symptoms. After controlling for demographic variables, sex and anxiety significantly predicted sleep quality. CONCLUSION This study suggests that the prevalence of CSVD with poor sleep quality is high, and that sex and anxiety are independent risk factors for CSVD comorbid sleep quality.
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Affiliation(s)
- Xi Li
- Department of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China.,School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Rong-Rong Qin
- Department of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China
| | - Jian Chen
- Department of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China
| | - Hai-Fei Jiang
- Department of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China
| | - Pan Tang
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Yu-Jing Wang
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Dong-Wu Xu
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Tao Xu
- Department of Neurology, Affiliated Tongzhou Hospital of Nantong University, Nantong, China.,Department of Anesthesiology, Affiliated Shanghai Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ti-Fei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China.,Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
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105
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Haverkamp RA, Melis RJ, Claassen JA, de Heus RA. Day-To-Day Home Blood Pressure Variability and All-Cause Mortality in a Memory Clinic Population. J Alzheimers Dis 2022; 85:1219-1231. [PMID: 34924378 PMCID: PMC8925104 DOI: 10.3233/jad-215002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/05/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND High day-to-day blood pressure variability (BPV) has been associated with an increased risk for cognitive decline and mortality in the general population. Whether BPV is associated with increased all-cause mortality in older people with cognitive impairment is unknown. OBJECTIVE To investigate the association between day-to-day home BPV and all-cause mortality in older patients attending a memory clinic. METHODS We included 279 patients attending a memory clinic, who measured home blood pressure (BP) for 7 consecutive days in the morning and evening. Within-subject BPV was defined as the variation independent of the mean (VIM). Time-to-death was verified through the Dutch population registry. Cox proportional hazard regression was used. Separate analyses were performed for morning-to-morning and evening-to-evening BPV. RESULTS Mean age was 73±9 years, dementia and mild cognitive impairment were diagnosed in 35% and 34% respectively, and mean home BP was 139/79 mmHg. After a mean follow-up of 3.2 years, 52 patients had died. Neither day-to-day systolic nor diastolic VIM were associated with mortality (adjusted hazard ratio [HR] systolic VIM: 0.99, 95% -CI 0.92-1.06, p = 0.770, HR diastolic VIM: 1.04, 95% -CI 0.93-1.17, p = 0.517). When morning and evening measurements were analyzed separately, systolic morning-to-morning VIM was associated with mortality (adjusted HR: 1.09, 95% -CI 1.01-1.18, p = 0.033). CONCLUSION In this study, day-to-day BPV was not associated with all-cause mortality in patients attending a memory clinic. However, morning-to-morning BPV was. Due to the short assessment window, there is still a lack of clarity; hence future research is warranted to clarify the role of all BPV components in aging.
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Affiliation(s)
- Rinske A. Haverkamp
- Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Department of Geriatric Medicine, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
| | - René J.F. Melis
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Geriatric Medicine, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
| | - Jurgen A.H.R. Claassen
- Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Department of Geriatric Medicine, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
| | - Rianne A.A. de Heus
- Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Department of Geriatric Medicine, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
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106
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Gerritsen L, Twait EL, Jonsson PV, Gudnason V, Launer LJ, Geerlings MI. Depression and Dementia: The Role of Cortisol and Vascular Brain Lesions. AGES-Reykjavik Study. J Alzheimers Dis 2022; 85:1677-1687. [PMID: 34958034 PMCID: PMC11044806 DOI: 10.3233/jad-215241] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Late-life depression (LLD) is related to an increased risk of developing dementia; however, the biological mechanisms explaining this relationship remain unclear. OBJECTIVE To determine whether the relationship between LLD and dementia can be best explained by the glucocorticoid cascade or vascular hypothesis. METHODS Data are from 4,354 persons (mean age 76±5 years) without dementia at baseline from the AGES-Reykjavik Study. LLD was assessed with the MINI diagnostic interview (current and remitted major depressive disorder [MDD]) and the Geriatric Depression Scale-15. Morning and evening salivary cortisol were collected (glucocorticoid cascade hypothesis). White matter hyperintensities (WMH; vascular hypothesis) volume was assessed using 1.5T brain MRI. Using Cox proportional hazard models, we estimated the associations of LLD, cortisol levels, and WMH volume with incident all-cause dementia, AD, and non-AD dementia. RESULTS During 8.8±3.2 years of follow-up, 843 persons developed dementia, including 397 with AD. Current MDD was associated with an increased risk of developing all-cause dementia (HR = 2.17; 95% CI 1.66-2.67), with risks similar for AD and non-AD, while remitted MDD was not (HR = 1.02; 95% CI 0.55-1.49). Depressive symptoms were also associated with increased risk of dementia, in particular non-AD dementias. Higher levels of evening cortisol increased risk of dementia, but this was independent of MDD. WMH partially explained the relation between current MDD and dementia risk but remained increased (HR = 1.71; 95% CI 1.34-2.08). CONCLUSION The current study highlights the importance of LLD in developing dementia. However, neither the glucocorticoid cascade nor the vascular hypotheses fully explained the relation between depression and dementia.
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Affiliation(s)
- Lotte Gerritsen
- Department of Psychology, Utrecht University, Utrecht, the Netherlands
| | - Emma L. Twait
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Palmi V. Jonsson
- Department of Geriatrics, Landspitali University Hospital, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Vilmundur Gudnason
- Department of Psychology, Utrecht University, Utrecht, the Netherlands
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Lenore J. Launer
- National Institute on Aging, Laboratory for Epidemiology and Population Sciences, Baltimore, MD, USA
| | - Mirjam I. Geerlings
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
- National Institute on Aging, Laboratory for Epidemiology and Population Sciences, Baltimore, MD, USA
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107
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Jellinger KA. Pathomechanisms of Vascular Depression in Older Adults. Int J Mol Sci 2021; 23:ijms23010308. [PMID: 35008732 PMCID: PMC8745290 DOI: 10.3390/ijms23010308] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 12/20/2021] [Accepted: 12/24/2021] [Indexed: 02/07/2023] Open
Abstract
Depression in older individuals is a common complex mood disorder with high comorbidity of both psychiatric and physical diseases, associated with high disability, cognitive decline, and increased mortality The factors predicting the risk of late-life depression (LLD) are incompletely understood. The reciprocal relationship of depressive disorder and age- and disease-related processes has generated pathogenic hypotheses and provided various treatment options. The heterogeneity of depression complicates research into the underlying pathogenic cascade, and factors involved in LLD considerably differ from those involved in early life depression. Evidence suggests that a variety of vascular mechanisms, in particular cerebral small vessel disease, generalized microvascular, and endothelial dysfunction, as well as metabolic risk factors, including diabetes, and inflammation that may induce subcortical white and gray matter lesions by compromising fronto-limbic and other important neuronal networks, may contribute to the development of LLD. The "vascular depression" hypothesis postulates that cerebrovascular disease or vascular risk factors can predispose, precipitate, and perpetuate geriatric depression syndromes, based on their comorbidity with cerebrovascular lesions and the frequent development of depression after stroke. Vascular burden is associated with cognitive deficits and a specific form of LLD, vascular depression, which is marked by decreased white matter integrity, executive dysfunction, functional disability, and poorer response to antidepressive therapy than major depressive disorder without vascular risk factors. Other pathogenic factors of LLD, such as neurodegeneration or neuroimmune regulatory dysmechanisms, are briefly discussed. Treatment planning should consider a modest response of LLD to antidepressants, while vascular and metabolic factors may provide promising targets for its successful prevention and treatment. However, their effectiveness needs further investigation, and intervention studies are needed to assess which interventions are appropriate and effective in clinical practice.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150 Vienna, Austria
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108
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Keins S, Abramson JR, Castello JP, Pasi M, Charidimou A, Kourkoulis C, DiPucchio Z, Schwab K, Anderson CD, Gurol ME, Greenberg SM, Rosand J, Viswanathan A, Biffi A. Latent profile analysis of cognitive decline and depressive symptoms after intracerebral hemorrhage. BMC Neurol 2021; 21:481. [PMID: 34893031 PMCID: PMC8662844 DOI: 10.1186/s12883-021-02508-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/22/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Cognitive impairment and depressive symptoms are highly prevalent after Intracerebral Hemorrhage (ICH). We leveraged Latent Profile Analysis (LPA) to identify profiles for cognitive decline and depression onset after ICH. We also investigated differences in clinical, genetic and neuroimaging characteristics across patients' profiles. METHODS We analyzed data from the ICH study conducted at Massachusetts General Hospital between January 1998 and December 2019. We collected information from electronical health records, follow-up interviews, CT and MRI imaging, and APOE genotype. We conducted LPA and multinomial logistic regression analyses to: 1) identify distinct profiles for cognitive decline and depression onset after ICH; 2) identify clinical, neuroimaging and genetic factors predicting individuals' likelihood to express a specific profile. RESULTS We followed 784 ICH survivors for a median of 45.8 months. We identified four distinct profiles in cognitive and depressive symptoms after ICH: low depression and dementia risk, early-onset depression and dementia, late-onset depression and dementia, high depression with low dementia risk. Cerebral small vessel disease severity and APOE genotype were specifically associated with the late-onset profile (both p < 0.05). Acute hematoma characteristics (size, intraventricular extension) and functional disability were specifically associated with the early-onset profile (all p < 0.05). CONCLUSION We identified four distinct profiles for cognitive and depressive symptoms after ICH, each displaying specific associations with individual patients' clinical, genetic and neuroimaging data. These associations reflect separate biological mechanisms influencing dementia and depression risk after ICH. Our findings support employing LPA in future ICH studies, and is likely applicable to stroke survivors at large.
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Affiliation(s)
- Sophia Keins
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA.,Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA.,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jessica R Abramson
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA.,Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Juan Pablo Castello
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA.,Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
| | - Marco Pasi
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Univ.Lille, Inserm, CHU Lille, U 1172 - LilNCog - Lille Neuroscience and Cognition, F-59000, Lille, France
| | - Andreas Charidimou
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Christina Kourkoulis
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA.,Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Zora DiPucchio
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Kristin Schwab
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher D Anderson
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA.,Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - M Edip Gurol
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan Rosand
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA.,Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Anand Viswanathan
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Alessandro Biffi
- Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA. .,Hemorrhagic Stroke Research Program, Massachusetts General Hospital, Boston, MA, USA. .,Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA. .,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
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109
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Elhassanien MEM, El-Heneedy YAE, Ramadan KM, Kotait MA, Elkholy A, Elhamrawy MY, Bahnasy WS. Gait and balance impairments in patients with subcortical vascular cognitive impairment. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2021. [DOI: 10.1186/s41983-021-00293-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Subcortical vascular cognitive impairment (SVCI) is a subtype of vascular cognitive impairment associated with extensive cerebral small vessel diseases (CSVDs) imaging biomarkers. The objectives of this work were to study the existence and patterns of gait and balance impairments in patients with SVCI due to CSVDs.
Methods
The study was conducted on 28 newly diagnosed SVCI patients and 22 healthy control subjects (HCS) submitted to the advanced activity of daily living scale (AADLs), Berg balance test (BBT), Montreal Cognitive Assessment Scale (MoCA), computerized dynamic posturography (CDP), vision-based 3-D skeletal data gait analysis, and brain MRI volumetric assessment.
Results
SVCI patients showed a significant decrease in AADLs as well as total cerebral white matter volume, total cerebral cortical volume, and mean cortical thickness which were proportional to the degree of cognitive impairment as measured by the MoCA score. Regarding CDP analysis, patients with SVCI revealed prolongation of cancelation time and spectral power for mid- and high frequencies in dynamic positions. In respect to gait analysis, there were significant decreases in mean stride length and mean cadence as well as increases in mean step width and left to right step length difference in the SVCI group compared to HCS while doing a single task. These variables get highly significant during the dual-task performance with a p value < 0.001 for each one.
Conclusion
Patients with SVCI suffer from gait and balance impairments that are proportional to the severity of their cognitive decline and greatly impair their ADLs.
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110
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Dalby RB, Eskildsen SF, Videbech P, Rosenberg R, Østergaard L. Cerebral hemodynamics and capillary dysfunction in late-onset major depressive disorder. Psychiatry Res Neuroimaging 2021; 317:111383. [PMID: 34508953 DOI: 10.1016/j.pscychresns.2021.111383] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 08/22/2021] [Accepted: 08/31/2021] [Indexed: 02/06/2023]
Abstract
In major depressive disorder (MDD), perfusion changes in cortico-limbic pathways are interpreted as altered neuronal activity, but they could also signify changes in neurovascular coupling due to altered capillary function. To examine capillary function in late-onset MDD, 22 patients and 22 age- and gender-matched controls underwent perfusion MRI. We measured normalized cerebral blood flow (nCBF), cerebral blood volume (nCBV), and relative transit-time heterogeneity (RTH). Resulting brain oxygenation was estimated in terms of oxygen tension and normalized metabolic rate of oxygen (nCMRO2). Patients revealed signs of capillary dysfunction (elevated RTH) in the anterior prefrontal cortex and ventral anterior cingulate cortex bilaterally and in the left insulate cortex compared to controls, bilateral hypometabolism (parallel reductions of nCBV, nCBF, and CMRO2) but preserved capillary function in the subthalamic nucleus and globus pallidus bilaterally, and hyperactivity with preserved capillary function (increased nCBF) in the cerebellum and brainstem. Our data support that perfusion changes in deep nuclei and cerebellum reflect abnormally low and high activity, respectively, in MDD patients, but suggest that microvascular pathology affects neurovascular coupling in ventral circuits. We speculate that microvascular pathology is important for our understanding of etiology of late-onset MDD as well as infererences about resulting brain activity changes.
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Affiliation(s)
- Rikke B Dalby
- Center of Functionally Integrative Neuroscience (CFIN) / MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Centre for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark; Department of Radiology, Section of Neuroradiology, Aarhus University Hospital, Aarhus, Denmark.
| | - Simon F Eskildsen
- Center of Functionally Integrative Neuroscience (CFIN) / MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Poul Videbech
- Center for Neuropsychiatric Depression Research, Mental Health Center Glostrup, Glostrup, Denmark
| | - Raben Rosenberg
- Centre for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark; Centre of Psychiatry Amager, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Leif Østergaard
- Center of Functionally Integrative Neuroscience (CFIN) / MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Neuroradiology Research Unit, Department of Radiology, Section of Neuroradiology, Aarhus University Hospital, Aarhus, Denmark
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111
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Lee WJ, Chou KH, Lee PL, Peng LN, Wang PN, Lin CP, Chen LK, Chung CP. Cerebral small vessel disease phenotype and 5-year mortality in asymptomatic middle-to-old aged individuals. Sci Rep 2021; 11:23149. [PMID: 34848820 PMCID: PMC8632933 DOI: 10.1038/s41598-021-02656-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 11/09/2021] [Indexed: 11/10/2022] Open
Abstract
The present study aimed to determine whether a recently proposed cerebral small vessel disease (CSVD) classification scheme could differentiate the 5-year all-cause mortality in middle-to-old aged asymptomatic CSVD. Stroke-free and non-demented participants recruited from the community-based I-Lan Longitudinal Aging Study underwent baseline brain magnetic resonance imaging (MRI) between 2011 and 2014 and were followed-up between 2018 and 2019. The study population was classified into control (non-CSVD) and CSVD type 1–4 groups based on MRI markers. We determined the association with mortality using Cox regression models, adjusting for the age, sex, and vascular risk factors. A total of 735 participants were included. During a mean follow-up of 5.7 years, 62 (8.4%) died. There were 335 CSVD type 1 (57.9 ± 5.9 years), 249 type 2 (65.6 ± 8.1 years), 52 type 3 (67.8 ± 9.2 years), and 38 type 4 (64.3 ± 9.0 years). Among the four CSVD types, CSVD type 4 individuals had significantly higher all-cause mortality (adjusted hazard ratio = 5.0, 95% confidence interval 1.6–15.3) compared to controls. This novel MRI-based CSVD classification scheme was able to identify individuals at risk of mortality at an asymptomatic, early stage of disease and might be applied for future community-based health research and policy.
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Affiliation(s)
- Wei-Ju Lee
- Department of Family Medicine, Taipei Veterans General Hospital Yuanshan Branch, Yi-Lan, Taiwan.,Aging and Health Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | - Kun-Hsien Chou
- Institute of Neuroscience, National Yang Ming Chiao Tung University College of Medicine, Taipei, 11221, Taiwan. .,Brain Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan.
| | - Pei-Lin Lee
- Institute of Neuroscience, National Yang Ming Chiao Tung University College of Medicine, Taipei, 11221, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | - Li-Ning Peng
- Aging and Health Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan.,Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Pei-Ning Wang
- Brain Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan.,School of Medicine, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan.,Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Beitou District, Taipei City, 112, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University College of Medicine, Taipei, 11221, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | - Liang-Kung Chen
- Aging and Health Research Center, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan.,Taipei Municipal Gan-Dau Hospital (Managed By Taipei Veterans General Hospital), Taipei, Taiwan
| | - Chih-Ping Chung
- School of Medicine, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan. .,Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Beitou District, Taipei City, 112, Taiwan.
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112
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Webb A, Werring D, Dawson J, Rothman A, Lawson A, Wartolowska K. Design of a randomised, double-blind, crossover, placebo-controlled trial of effects of sildenafil on cerebrovascular function in small vessel disease: Oxford haemodynamic adaptation to reduce pulsatility trial (OxHARP). Eur Stroke J 2021; 6:283-290. [PMID: 34746425 PMCID: PMC8564163 DOI: 10.1177/23969873211026698] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 06/01/2021] [Indexed: 01/30/2023] Open
Abstract
Background Cerebral small vessel disease (SVD) is associated with increased
cerebrovascular pulsatility, endothelial dysfunction, and impaired vascular
reactivity. Vasodilating phosphodiesterase inhibitors may improve
cardiovascular pulsatility and reactivity, and potentially reduce
progression of SVD. Hypothesis: Sildenafil, a PDE5 inhibitor, will reduce cerebrovascular
pulsatility and increase cerebrovascular reactivity compared to placebo, and
is non-inferior to cilostazol, a PDE3 inhibitor. Methods OxHARP is a randomised, double-blind, crossover trial of sildenafil 50 mg
thrice daily, cilostazol 100 mg twice daily and placebo in 75 patients with
mild to moderate small vessel disease and a previous lacunar or cryptogenic
stroke or TIA. Participants undergo a physiological assessment at baseline
and on each treatment, including transcranial Doppler ultrasound (TCD, DWL
DopplerBox) to assess cerebrovascular pulsatility and reactivity to 4–6%
carbon dioxide. In up to 60 patients, cerebrovascular pulsatility, perfusion
and reactivity will also be assessed by MRI. Outcome measures The primary outcome is difference in middle cerebral artery pulsatility
(Gosling’s Pulsatility Index, PI) after 3 weeks of sildenafil versus
placebo. Secondary outcomes including non-inferiority of sildenafil vs
cilostazol in effects on PI, percentage increase in MCA blood flow velocity
and BOLD-fMRI response during inhalation of 4–6% carbon dioxide. Discussion Reduction in cerebral pulsatility and increased cerebrovascular reactivity
during treatment with sildenafil would indicate potential benefit to prevent
progression of SVD, suggesting a need for trials with clinical outcomes. Trial Registration OxHARP is registered with ClinicalTrials.org,
NCT03855332
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Affiliation(s)
- Alastair Webb
- Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
| | - David Werring
- Stroke Research Centre, UCL Institute of Neurology, London, UK
| | - Jesse Dawson
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary & Life Sciences, Queen Elizabeth University Hospital, University of Glasgow, Glasgow, UK
| | - Alex Rothman
- Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Amy Lawson
- Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
| | - Karolina Wartolowska
- Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
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Sue K, Usuda D, Moriizumi S, Momose K. Preexisting brain lesions in patients with post stroke pusher behavior and their association with the recovery period: A one year retrospective cohort study in a rehabilitation setting. Neurosci Lett 2021; 769:136323. [PMID: 34742861 DOI: 10.1016/j.neulet.2021.136323] [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: 08/02/2021] [Revised: 10/12/2021] [Accepted: 10/28/2021] [Indexed: 11/16/2022]
Abstract
The presence of preexisting brain lesions due to previous stroke and cerebral small vessel disease has been reported to influence stroke related disability or rehabilitation outcomes. However, there is no data about the impact of such lesions on the recovery period after pusher behavior (PB). This retrospective cohort study aimed to determine the influence of preexisting brain lesions on PB recovery time. Nineteen patients who were suffering from PB were included in the study. The presence of preexisting brain lesions, including previous stroke, silent brain infarcts, microbleed, white matter hyperintensity, and enlarged perivascular spaces were assessed using medical history reports, radiological reports, and magnetic resonance imaging data. The lesion score, ranging from 0 to 6, was calculated based on each preexisting brain lesion. The time to recovery from PB was assessed using the Scale for Contraversive Pushing. Based on the median value of the lesion score, we divided patients into those with a lesion score <2 and those with a lesion score ≥2. A Kaplan Meier survival analysis was performed between these two groups. A multivariable Cox proportional hazards analysis was also performed using the side with hemiparesis and the score of preexisting brain lesions as covariates to determine the hazard ratio. The results showed that the group with a lesion score ≥2 had significantly delayed recovery from PB and the hazard ratio of preexisting brain lesions score was 0.458 (95 % confidence interval: 0.221, 0.949), while the side of hemiparesis was not identified a significant covariate. Our results indicated that patients with PB having higher score of preexisting brain abnormalities might require a longer time to recover, and this might be useful in planning inpatient rehabilitation and treatment goals for patients with PB.
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Affiliation(s)
- Keita Sue
- Department of Rehabilitation, Kakeyu-Misayama Rehabilitation Center, Kakeyu Hospital, 1308, Kakeyuonsen, Ueda, Nagano, 386-1701, Japan; Department of Health Sciences, Graduate School of Medicine, Science and Technology, Shinshu University, 3-1-1, Asahi, Matsumoto, Nagano, 390-8621, Japan
| | - Daiki Usuda
- Department of Rehabilitation, Kakeyu-Misayama Rehabilitation Center, Kakeyu Hospital, 1308, Kakeyuonsen, Ueda, Nagano, 386-1701, Japan
| | - Shutaro Moriizumi
- Department of Rehabilitation, Kakeyu-Misayama Rehabilitation Center, Kakeyu Hospital, 1308, Kakeyuonsen, Ueda, Nagano, 386-1701, Japan
| | - Kimito Momose
- Department of Physical Therapy, School of Health Science, Shinshu University, 3-1-1, Asahi, Matsumoto, Nagano, 390-8621, Japan.
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Sánchez-Nieto JM, Rivera-Sánchez UD, Mendoza-Núñez VM. Relationship between Arterial Hypertension with Cognitive Performance in Elderly. Systematic Review and Meta-Analysis. Brain Sci 2021; 11:brainsci11111445. [PMID: 34827445 PMCID: PMC8615390 DOI: 10.3390/brainsci11111445] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 10/20/2021] [Accepted: 10/26/2021] [Indexed: 12/24/2022] Open
Abstract
Background: Previous systematic reviews report that arterial hypertension (AHT) is associated with lower performance in cognition in the elderly. However, some studies show that with higher blood pressure, a better cognitive performance is obtained. Objective: The aim of this study was to determine the relationship between AHT with cognitive performance in the elderly. Methods: the review involved a search on PubMed, Scopus and PsycINFO databases from January 1990 to March, 2020 to identify the relationship among AHT and cognitive performance in older people. Results: 1170 articles were identified, 136 complete papers were reviewed, a qualitative analysis of 26 studies and a quantitative analysis of eight studies were carried out. It was found that people with AHT have a lower performance in processing speed SMD = 0.40 (95% CI: 0.25, 0.54), working memory SMD = 0.28 (95% CI: 0.15, 0.41) in short-term memory and learning SMD = −0.27 (95% CI: −0.37, −0.17) and delayed recall SMD = −0.20 (95% CI: −0.35, −0.05). Only one study found that higher blood pressure was associated with better memory performance. Conclusion: Our results suggest that high blood pressure primarily affects processing speed, working memory, short-term memory and learning and delayed recall.
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Rydén L, Sacuiu S, Wetterberg H, Najar J, Guo X, Kern S, Zettergren A, Shams S, Pereira JB, Wahlund LO, Westman E, Skoog I. Atrial Fibrillation, Stroke, and Silent Cerebrovascular Disease: A Population-based MRI Study. Neurology 2021; 97:e1608-e1619. [PMID: 34521692 PMCID: PMC8548961 DOI: 10.1212/wnl.0000000000012675] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 07/27/2021] [Indexed: 11/18/2022] Open
Abstract
Background and Objectives Atrial fibrillation (AF) has been associated with cognitive decline and dementia. However, the mechanisms behind these associations are not clear. Examination of cerebrovascular pathology on MRI may shed light on how AF affects the brain. This study aimed to determine whether AF is associated with a broad range of cerebrovascular diseases beyond the well-known association with symptomatic stroke, including silent infarcts and markers of small vessel disease, i.e., cerebral microbleeds (CMBs), white matter hyperintensities (WMHs), and lacunes, in a population-based sample of 70-year-olds. Methods Data were obtained from the Gothenburg H70 Birth Cohort Studies, in which individuals are invited based on birthdate. This study has a cross-sectional design and includes individuals born in 1944 who underwent structural brain MRI in 2014 to 2017. AF diagnoses were based on self-report, ECG, and register data. Symptomatic stroke was based on self-report, proxy interviews, and register data. Brain infarcts and CMBs were assessed by a radiologist. WMH volumes were measured on fluid-attenuated inversion recovery images with the Lesion Segmentation Tool. Multivariable logistic regression was used to study the association between AF and infarcts/CMBs, and multivariable linear regression was used to study the association between AF and WMHs. Results A total of 776 individuals were included, and 65 (8.4%) had AF. AF was associated with symptomatic stroke (odds ratio [OR] 4.5, 95% confidence interval [CI] 2.1–9.5) and MRI findings of large infarcts (OR 5.0, 95% CI 1.5–15.9), lacunes (OR 2.7, 95% CI 1.2–5.6), and silent brain infarcts (OR 3.5; 95% CI 1.6–7.4). Among those with symptomatic stroke, individuals with AF had larger WMH volumes (0.0137 mL/total intracranial volume [TIV], 95% CI 0.0074–0.0252) compared to those without AF (0.0043 mL/TIV, 95% CI 0.0029–0.0064). There was no association between AF and WMH volumes among those without symptomatic stroke. In addition, AF was associated to CMBs in the frontal lobe. Discussion AF was associated with a broad range of cerebrovascular pathologies. Further research is needed to establish whether cerebrovascular MRI markers can be added to current treatment guidelines to further personalize anticoagulant treatment in patients with AF and to further characterize the pathogenetic processes underlying the associations between AF and cerebrovascular diseases, as well as dementia.
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Affiliation(s)
- Lina Rydén
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden.
| | - Simona Sacuiu
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Hanna Wetterberg
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Jenna Najar
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Xinxin Guo
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Silke Kern
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Anna Zettergren
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Sara Shams
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Joana B Pereira
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Lars-Olof Wahlund
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Eric Westman
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
| | - Ingmar Skoog
- From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden
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Lu D, Liu J, MacKinnon AD, Tozer DJ, Markus HS. Prevalence and Risk Factors of Cerebral Microbleeds: Analysis From the UK Biobank. Neurology 2021; 97:e1493-e1502. [PMID: 34408070 DOI: 10.1212/wnl.0000000000012673] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 08/05/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES To determine the prevalence of and risk factors for cerebral microbleeds (CMBs) at different locations in a large healthy community population. METHODS A total of 8,159 participants from the UK Biobank with MRI scans suitable for CMB analysis were included. Brain susceptibility-weighted imaging data were acquired on 2 identical 3.0T scanners. The Microbleed Anatomical Rating Scale was used to identify definite CMBs. Generalized linear models were used to determine independent associations with all CMBs and lobar, deep, and infratentorial CMBs. RESULTS The mean age at scan was 62.1 ± 7.4 years. One or more definite CMBs were detected in 572 (7.0%) participants. Of those with CMBs, 439 (76.7%) had lobar CMBs, 103 (18.0%) had deep CMBs, and 83 (14.5%) had infratentorial CMBs. Age was an independent risk factor for CMBs in all locations. APOE4 and male sex were positively associated and higher body mass index was negatively associated with lobar CMBs. Hypertension, smoking, and alcohol consumption were associated with deep CMBs, but not with lobar CMBs. Only age was associated with infratentorial CMBs. The associations were unchanged after controlling for white matter hyperintensity lesion volume as a marker of small vessel disease severity. DISCUSSION In this large population-based study, CMB prevalence detected using a low sensitivity and high specificity system was 7%. There were distinct risk factor profiles for CMBs in lobar and deep locations consistent with different underlying pathophysiologic processes. TRIAL REGISTRATION INFORMATION Clinical Trial registration number: UK Biobank application number 19463.
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Affiliation(s)
- Dongwei Lu
- From the Stroke Research Group, Department of Clinical Neurosciences (D.L., J.L., D.J.T., H.S.M.), University of Cambridge, UK; Department of Neurology (D.L.), Zhongnan Hospital, Wuhan University; Department of Neurology (J.L.), West China Hospital, Sichuan University, China; and Department of Neuroradiology (A.D.M.), Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, London, UK.
| | - Junfeng Liu
- From the Stroke Research Group, Department of Clinical Neurosciences (D.L., J.L., D.J.T., H.S.M.), University of Cambridge, UK; Department of Neurology (D.L.), Zhongnan Hospital, Wuhan University; Department of Neurology (J.L.), West China Hospital, Sichuan University, China; and Department of Neuroradiology (A.D.M.), Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Andrew D MacKinnon
- From the Stroke Research Group, Department of Clinical Neurosciences (D.L., J.L., D.J.T., H.S.M.), University of Cambridge, UK; Department of Neurology (D.L.), Zhongnan Hospital, Wuhan University; Department of Neurology (J.L.), West China Hospital, Sichuan University, China; and Department of Neuroradiology (A.D.M.), Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Daniel J Tozer
- From the Stroke Research Group, Department of Clinical Neurosciences (D.L., J.L., D.J.T., H.S.M.), University of Cambridge, UK; Department of Neurology (D.L.), Zhongnan Hospital, Wuhan University; Department of Neurology (J.L.), West China Hospital, Sichuan University, China; and Department of Neuroradiology (A.D.M.), Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Hugh S Markus
- From the Stroke Research Group, Department of Clinical Neurosciences (D.L., J.L., D.J.T., H.S.M.), University of Cambridge, UK; Department of Neurology (D.L.), Zhongnan Hospital, Wuhan University; Department of Neurology (J.L.), West China Hospital, Sichuan University, China; and Department of Neuroradiology (A.D.M.), Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, London, UK
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An observational study of T2-weighted white matter hyperintensities on magnetic resonance imaging of the internal auditory meatus and brain: ignore or not? J Laryngol Otol 2021; 135:964-969. [PMID: 34558395 DOI: 10.1017/s0022215121001845] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Magnetic resonance imaging of the internal auditory meatus frequently detects incidental white matter hyperintensities. This study investigated the association between these and the risk of stroke and transient ischaemic attack, or myocardial infarction. METHODS The records of patients with incidental white matter hyperintensities were reviewed, and data were collected on: age, sex, cardiovascular risk factors, and incidence of stroke and transient ischaemic attack, or myocardial infarction, five years later. The risk factors associated with vascular events were explored. RESULTS Of 6978 patients, 309 (4.4 per cent) had incidental white matter hyperintensities. Of these, 20 (6.5 per cent) had a stroke or transient ischaemic attack within five years, and 5 (1.7 per cent) had a myocardial infarction. The number of cardiovascular risk factors was significantly associated with the incidence of stroke and transient ischaemic attack (p = 0.004), and myocardial infarction (p = 0.023). CONCLUSION The number of cardiovascular risk factors predicts the likelihood of vascular events; appropriate risk factor management is recommended for patients with incidental white matter hyperintensities of presumed vascular origin.
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Xie Y, Xie L, Kang F, Jiang J, Yao T, Li Y, Mao G, Wu D. Association between diffusion tensor imaging findings and domain-specific cognitive impairment in cerebral small vessel disease: a protocol for systematic review and meta-analysis. BMJ Open 2021; 11:e049203. [PMID: 34548355 PMCID: PMC8458376 DOI: 10.1136/bmjopen-2021-049203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Cognitive impairment is the main clinical manifestation of cerebral small vessel disease (CSVD). However, the mechanism and structural damage in different domains of cognitive disorders are poorly understood. There is an urgent need to quantify the relation between diffusion tensor imaging (DTI) data and impaired cognitive testing in CSVD, which may help to find biomarkers for early diagnosis or treatment evaluation. We aim to summarise the understanding of association between DTI findings and domain-specific cognitive impairment. METHODS AND ANALYSIS PubMed, EMBASE, Web of science, Cochrane library, Chinese National Knowledge Infrastructure Databases, Wanfang, SinoMed and VIP will be searched, from 1 January 1994 to 1 August 2021. The ClinicalTrials.gov and Chictr.org.cn records will also be searched to identify further potential studies. The included studies should report fractional anisotropy and/or and mean diffusivity/apparent diffusion coefficient data for one or more individual regions of interest in DTI analysis. Meanwhile, cognitive testing scores are also needed. This systematic review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The quality of cohort or case-control studies will be evaluated by the Newcastle-Ottawa Scale, and the cross-section studies will be evaluated by Agency for Healthcare Research and Quality scale. Meta-analysis, subgroup and sensitivity analyses, and publication bias will be all performed with Stata. ETHICS AND DISSEMINATION Patients and the public will not be involved in this study. The existing data from published studies will be used. The findings from this research will be relevant information regarding the association of DTI metrics with cognitive disorder, which will be published in a peer-reviewed journal. If we need to amend this protocol, we will give the date of each amendment, describe the change and give the rationale. Changes will not be incorporated into the protocol. PROSPERO REGISTRATION NUMBER CRD42021226133.
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Affiliation(s)
- Yao Xie
- Department of Neurology, Hunan University of Chinese Medicine Integrated Chinese Medicine Affiliated Hospital, Changsha, Hunan, China
| | - Le Xie
- Department of Neurology, Hunan University of Chinese Medicine Integrated Chinese Medicine Affiliated Hospital, Changsha, Hunan, China
| | - Fuliang Kang
- Department of Imaging, Hunan University of Chinese Medicine Integrated Chinese Medicine Affiliated Hospital, Changsha, Hunan, China
| | - Junlin Jiang
- Department of Neurology, Hunan University of Chinese Medicine Integrated Chinese Medicine Affiliated Hospital, Changsha, Hunan, China
| | - Ting Yao
- Department of Neurology, Hunan University of Chinese Medicine Integrated Chinese Medicine Affiliated Hospital, Changsha, Hunan, China
| | - Yingchen Li
- Department of Neurology, Hunan University of Chinese Medicine Integrated Chinese Medicine Affiliated Hospital, Changsha, Hunan, China
| | - Guo Mao
- Office of Academic Research, Hunan University of Chinese Medicine Integrated Chinese Medicine Affiliated Hospital, Changsha, Hunan, China
| | - Dahua Wu
- Department of Neurology, Hunan University of Chinese Medicine Integrated Chinese Medicine Affiliated Hospital, Changsha, Hunan, China
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Jang JY, Ho JK, Blanken AE, Dutt S, Nation DA. Affective Neuropsychiatric Symptoms as Early Signs of Dementia Risk in Older Adults. J Alzheimers Dis 2021; 77:1195-1207. [PMID: 32925031 DOI: 10.3233/jad-200190] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Affective neuropsychiatric symptoms (aNPS: depression, anxiety, apathy, irritability) have been linked to increased dementia risk. However, less is known whether this association is independent of Alzheimer's disease (AD) pathophysiology. OBJECTIVE To investigate the contribution of early aNPS to dementia risk in cognitively normal (CN) older adults and mild cognitive impairment (MCI) patients, with and without AD biomarker abnormality. METHODS Participants included 763 community-dwelling, stroke-free older adults identified as CN and 617 with MCI at baseline, drawn from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Baseline assessments included a neuropsychological battery, the Neuropsychiatric Inventory (NPI), and apolipoprotein E ɛ4 (ApoE4) genotyping. A participant subset completed cerebrospinal fluid (CSF) AD biomarker assessment. Time to progression to dementia was measured based on months at follow-up when an individual was diagnosed with dementia, over the follow-up period of 48 months. RESULTS Latent class analysis identified 3 subgroups of older adults in CN and MCI, indicated by the baseline profiles of neuropsychiatric symptoms (NPS). Subgroups with higher aNPS were at increased risk of progression to dementia in both CN (HR = 3.65, 95% CI [1.80, 7.40]) and MCI (HR = 1.52, 95% CI [1.16, 2.00]; HR = 1.86 [1.05, 3.30]) groups, adjusting for age, sex, global cognition, and ApoE4, compared with their counterparts with minimal NPS. There was no difference between higher aNPS and minimal NPS subgroups in their CSF AD biomarker profiles. CONCLUSION Findings suggest that aNPS may represent a neurobiological vulnerability that uniquely contribute to the dementia risk, independent of AD biomarker profiles.
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Affiliation(s)
- Jung Yun Jang
- Veterans Affairs Boston Healthcare System, Boston, MA, USA
| | - Jean K Ho
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Anna E Blanken
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Shubir Dutt
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
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Geraets AF, Köhler S, Jansen JF, Eussen SJ, Stehouwer CDA, Schaper NC, Wesselius A, Verhey FR, Schram MT. The association of markers of cerebral small vessel disease and brain atrophy with incidence and course of depressive symptoms - the maastricht study. J Affect Disord 2021; 292:439-447. [PMID: 34144369 DOI: 10.1016/j.jad.2021.05.096] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 04/29/2021] [Accepted: 05/30/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) and neurodegeneration may be involved in the development and persistence of late-life depressive symptoms, but longitudinal evidence is scarce. We investigated the longitudinal associations of markers of CSVD and brain atrophy with incident depressive symptoms and the course of depressive symptoms, above and below 60 years of age. METHODS White matter hyperintensity volumes (WMH), presence of lacunar infarcts and cerebral microbleeds, and white matter, grey matter, and cerebral spinal fluid volumes were assessed at baseline by 3T MRI in The Maastricht Study (mean age 59.5±8.5 years, 49.6% women, n=4,347; 16,535 person-years of follow-up). Clinically relevant depressive symptoms (9-item Patient Health Questionnaire≥10) were assessed at baseline and annually over seven years. We used Cox regression and multinomial logistic regression analyses adjusted for demographic, cardiovascular, and lifestyle risk factors. RESULTS Above 60 years of age, larger WMH volumes were associated with an increased risk for incident depressive symptoms (HR[95%CI]:1.24[1.04;1.48] per SD) and a persistent course of depressive symptoms (OR:1.44[1.04;2.00] per SD). Total CSVD burden was associated with persistent depressive symptoms irrespective of age (adjusted OR:1.58[1.03;2.43]), while no associations were found for general markers of brain atrophy. LIMITATIONSS Our findings need replication in other large-scale population-based studies. CONCLUSIONS Our findings may suggest a temporal association of larger WMH volume with the incidence and persistence of late-life depression in the general population and may provide a potential target for the prevention of chronic late-life depression.
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Affiliation(s)
- Anouk Fj Geraets
- Department of Psychiatry and Neuropsychology; Alzheimer Centrum Limburg, the Netherlands; Department of Internal Medicine; School for Mental Health and Neuroscience; School for Cardiovascular Diseases (CARIM)
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology; Alzheimer Centrum Limburg, the Netherlands; School for Mental Health and Neuroscience
| | - Jacobus Fa Jansen
- Department of Radiology and Nuclear Medicine; School for Mental Health and Neuroscience
| | - Simone Jpm Eussen
- Department of Epidemiology; School for Cardiovascular Diseases (CARIM)
| | - Coen DA Stehouwer
- Department of Internal Medicine; School for Cardiovascular Diseases (CARIM)
| | - Nicolaas C Schaper
- Department of Internal Medicine; School for Cardiovascular Diseases (CARIM)
| | - Anke Wesselius
- Department of Genetics & Cell Biology, Complex Genetics, Maastricht University Medical Center (MUMC+), 6202 AZ, Maastricht, Limburg, the Netherlands; School of Nutrition and Translational Research in Metabolism (NUTRIM), Faculty of Health, Medicine & Life Sciences, Maastricht University, 6200 MD, Maastricht, Limburg, the Netherlands
| | - Frans Rj Verhey
- Department of Psychiatry and Neuropsychology; Alzheimer Centrum Limburg, the Netherlands; School for Mental Health and Neuroscience
| | - Miranda T Schram
- Department of Psychiatry and Neuropsychology; Department of Internal Medicine; School for Mental Health and Neuroscience; School for Cardiovascular Diseases (CARIM).
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Empana JP, Boutouyrie P, Lemogne C, Jouven X, van Sloten TT. Microvascular Contribution to Late-Onset Depression: Mechanisms, Current Evidence, Association With Other Brain Diseases, and Therapeutic Perspectives. Biol Psychiatry 2021; 90:214-225. [PMID: 34325805 DOI: 10.1016/j.biopsych.2021.04.012] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 12/16/2022]
Abstract
Depression is common in older individuals and is associated with high disability and mortality. A major problem is treatment resistance: >50% of older patients do not respond to current antidepressants. Therefore, new effective interventions for prevention and treatment of depression in older individuals need to be developed, which requires a better understanding of the mechanisms underlying depression. The pathophysiology of depression is multifactorial and complex. Microvascular dysfunction may be an early and targetable mechanism in the development of depression, notably depression that initiates in late life (late-onset depression). Late-onset depression commonly co-occurs with other diseases or syndromes that may share a microvascular origin, including apathy, cognitive impairment, dementia, and stroke. Together, these disabilities may all be part of one large phenotype resulting from global cerebral microvascular dysfunction. In this review, we discuss the pathophysiology of microvascular dysfunction-related late-onset depression, summarize recent epidemiological evidence on the association between cerebral microvascular dysfunction and depression, and indicate potential drivers of cerebral microvascular dysfunction. We also propose the hypothesis that depression may be a manifestation of a larger phenotype of cerebral microvascular dysfunction, highlight potential therapeutic targets and interventions, and give directions for future research.
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Affiliation(s)
- Jean-Philippe Empana
- Université de Paris, INSERM, U970, Paris Cardiovascular Research Center, Paris, France
| | - Pierre Boutouyrie
- Université de Paris, INSERM, U970, Paris Cardiovascular Research Center, Paris, France
| | - Cédric Lemogne
- Université de Paris, AP-HP, Hôpital Hôtel-Dieu, DMU Psychiatrie et Addictologie, Service de Psychiatrie de l'adulte, INSERM, Institut de Psychiatrie et Neurosciences de Paris, UMR_S1266, Paris, France
| | - Xavier Jouven
- Université de Paris, INSERM, U970, Paris Cardiovascular Research Center, Paris, France
| | - Thomas T van Sloten
- Université de Paris, INSERM, U970, Paris Cardiovascular Research Center, Paris, France; School for Cardiovascular Diseases Maastricht and Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.
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Che Mohd Nassir CMN, Damodaran T, Yusof SR, Norazit A, Chilla G, Huen I, K. N. BP, Mohamed Ibrahim N, Mustapha M. Aberrant Neurogliovascular Unit Dynamics in Cerebral Small Vessel Disease: A Rheological Clue to Vascular Parkinsonism. Pharmaceutics 2021; 13:1207. [PMID: 34452169 PMCID: PMC8398765 DOI: 10.3390/pharmaceutics13081207] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/29/2021] [Accepted: 08/03/2021] [Indexed: 12/26/2022] Open
Abstract
The distinctive anatomical assemble and functionally discrete multicellular cerebrovasculature dynamics confer varying rheological and blood-brain barrier permeabilities to preserve the integrity of cerebral white matter and its neural microenvironment. This homeostasis intricately involves the glymphatic system that manages the flow of interstitial solutes, metabolic waste, and clearance through the venous circulation. As a physiologically integrated neurogliovascular unit (NGVU) serving a particularly vulnerable cerebral white matter (from hypoxia, metabolic insults, infection, and inflammation), a likely insidious process over a lifetime could inflict microenvironment damages that may lead to pathological conditions. Two such conditions, cerebral small vessel disease (CSVD) and vascular parkinsonism (VaP), with poorly understood pathomechanisms, are frequently linked to this brain-wide NGVU. VaP is widely regarded as an atypical parkinsonism, described by cardinal motor manifestations and the presence of cerebrovascular disease, particularly white matter hyperintensities (WMHs) in the basal ganglia and subcortical region. WMHs, in turn, are a recognised imaging spectrum of CSVD manifestations, and in relation to disrupted NGVU, also include enlarged perivascular spaces. Here, in this narrative review, we present and discuss on recent findings that argue for plausible clues between CSVD and VaP by focusing on aberrant multicellular dynamics of a unique integrated NGVU-a crossroad of the immune-vascular-nervous system-which may also extend fresher insights into the elusive interplay between cerebral microvasculature and neurodegeneration, and the potential therapeutic targets.
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Affiliation(s)
- Che Mohd Nasril Che Mohd Nassir
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia;
| | - Thenmoly Damodaran
- Centre for Drug Research, Universiti Sains Malaysia, Minden 11800, Penang, Malaysia; (T.D.); (S.R.Y.)
| | - Siti R. Yusof
- Centre for Drug Research, Universiti Sains Malaysia, Minden 11800, Penang, Malaysia; (T.D.); (S.R.Y.)
| | - Anwar Norazit
- Department of Biomedical Science, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Selangor, Malaysia;
| | - Geetha Chilla
- A*STAR Institute of Bioengineering and Bioimaging, Helios, 11 Biopolis Way, Singapore 138667, Singapore; (G.C.); (I.H.); (B.P.K.N.)
| | - Isaac Huen
- A*STAR Institute of Bioengineering and Bioimaging, Helios, 11 Biopolis Way, Singapore 138667, Singapore; (G.C.); (I.H.); (B.P.K.N.)
| | - Bhanu Prakash K. N.
- A*STAR Institute of Bioengineering and Bioimaging, Helios, 11 Biopolis Way, Singapore 138667, Singapore; (G.C.); (I.H.); (B.P.K.N.)
| | - Norlinah Mohamed Ibrahim
- Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Selangor, Malaysia;
| | - Muzaimi Mustapha
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia;
- Hospital Universiti Sains Malaysia, Jalan Raja Perempuan Zainab II, Kubang Kerian 16150, Kelantan, Malaysia
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Hilal S, Liu S, Wong TY, Vrooman H, Cheng CY, Venketasubramanian N, Chen CL, Zhou JH. White matter network damage mediates association between cerebrovascular disease and cognition. J Cereb Blood Flow Metab 2021; 41:1858-1872. [PMID: 33530830 PMCID: PMC8327109 DOI: 10.1177/0271678x21990980] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
To determine whether white matter network disruption mediates the association between MRI markers of cerebrovascular disease (CeVD) and cognitive impairment. Participants (n = 253, aged ≥60 years) from the Epidemiology of Dementia in Singapore study underwent neuropsychological assessments and MRI. CeVD markers were defined as lacunes, white matter hyperintensities (WMH), microbleeds, cortical microinfarcts, cortical infarcts and intracranial stenosis (ICS). White matter microstructure damage was measured as fractional anisotropy and mean diffusivity by tract based spatial statistics from diffusion tensor imaging. Cognitive function was summarized as domain-specific Z-scores.Lacunar counts, WMH volume and ICS were associated with worse performance in executive function, attention, language, verbal and visual memory. These three CeVD markers were also associated with white matter microstructural damage in the projection, commissural, association, and limbic fibers. Path analyses showed that lacunar counts, higher WMH volume and ICS were associated with executive and verbal memory impairment via white matter disruption in commissural fibers whereas impairment in the attention, visual memory and language were mediated through projection fibers.Our study shows that the abnormalities in white matter connectivity may underlie the relationship between CeVD and cognition. Further longitudinal studies are needed to understand the cause-effect relationship between CeVD, white matter damage and cognition.
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Affiliation(s)
- Saima Hilal
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Memory Aging & Cognition Centre, National University Health System, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Siwei Liu
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Duke-NUS Medical School, Singapore
| | - Henri Vrooman
- Departments of Radiology & Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Duke-NUS Medical School, Singapore
| | | | - Christopher Lh Chen
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Juan Helen Zhou
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Duke-NUS Medical School, Singapore
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Keller SA, Hansmann KJ, Powell WR, Bendlin BB, Kind AJH. A Scoping Review of the Association of Social Disadvantage and Cerebrovascular Disease Confirmed by Neuroimaging and Neuropathology. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:7071. [PMID: 34281008 PMCID: PMC8297247 DOI: 10.3390/ijerph18137071] [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] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 06/25/2021] [Accepted: 06/29/2021] [Indexed: 11/24/2022]
Abstract
Social disadvantage-a state of low-income, limited education, poor living conditions, or limited social support-mediates chronic health conditions, including cerebrovascular disease. Social disadvantage is a key component in several health impact frameworks, providing explanations for how individual-level factors interact with interpersonal and environmental factors to create health disparities. Understanding the association between social disadvantage and vascular neuropathology, brain lesions identified by neuroimaging and autopsy, could provide insight into how one's social context interacts with biological processes to produce disease. The goal of this scoping review was to evaluate the scientific literature on the relationship between social disadvantage and cerebrovascular disease, confirmed through assessment of vascular neuropathology. We reviewed 4049 titles and abstracts returned from our search and included records for full-text review that evaluated a measure of social disadvantage as an exposure variable and cerebrovascular disease, confirmed through assessment of vascular neuropathology, as an outcome measure. We extracted exposures and outcomes from 20 articles meeting the criteria after full-text review, and described the study findings and populations sampled. An improved understanding of the link between social factors and cerebrovascular disease will be an important step in moving the field closer to addressing the fundamental causes of disease and towards more equitable brain health.
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Affiliation(s)
- Sarah A. Keller
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
- Center for Health Disparities Research, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA; (W.R.P.); (B.B.B.); (A.J.H.K.)
- Health Services and Care Research Program, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
| | - Kellia J. Hansmann
- Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA;
| | - W. Ryan Powell
- Center for Health Disparities Research, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA; (W.R.P.); (B.B.B.); (A.J.H.K.)
- Health Services and Care Research Program, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
- Department of Medicine, Geriatrics Division, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
| | - Barbara B. Bendlin
- Center for Health Disparities Research, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA; (W.R.P.); (B.B.B.); (A.J.H.K.)
- Department of Medicine, Geriatrics Division, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
| | - Amy J. H. Kind
- Center for Health Disparities Research, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA; (W.R.P.); (B.B.B.); (A.J.H.K.)
- Health Services and Care Research Program, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
- Department of Medicine, Geriatrics Division, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
- Geriatric Research Education and Clinical Center (GRECC), William S. Middleton Hospital, United States Department of Veterans Affairs, Madison, WI 53705, USA
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125
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Past, present and future role of retinal imaging in neurodegenerative disease. Prog Retin Eye Res 2021; 83:100938. [PMID: 33460813 PMCID: PMC8280255 DOI: 10.1016/j.preteyeres.2020.100938] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 12/11/2020] [Accepted: 12/17/2020] [Indexed: 02/08/2023]
Abstract
Retinal imaging technology is rapidly advancing and can provide ever-increasing amounts of information about the structure, function and molecular composition of retinal tissue in humans in vivo. Most importantly, this information can be obtained rapidly, non-invasively and in many cases using Food and Drug Administration-approved devices that are commercially available. Technologies such as optical coherence tomography have dramatically changed our understanding of retinal disease and in many cases have significantly improved their clinical management. Since the retina is an extension of the brain and shares a common embryological origin with the central nervous system, there has also been intense interest in leveraging the expanding armamentarium of retinal imaging technology to understand, diagnose and monitor neurological diseases. This is particularly appealing because of the high spatial resolution, relatively low-cost and wide availability of retinal imaging modalities such as fundus photography or OCT compared to brain imaging modalities such as magnetic resonance imaging or positron emission tomography. The purpose of this article is to review and synthesize current research about retinal imaging in neurodegenerative disease by providing examples from the literature and elaborating on limitations, challenges and future directions. We begin by providing a general background of the most relevant retinal imaging modalities to ensure that the reader has a foundation on which to understand the clinical studies that are subsequently discussed. We then review the application and results of retinal imaging methodologies to several prevalent neurodegenerative diseases where extensive work has been done including sporadic late onset Alzheimer's Disease, Parkinson's Disease and Huntington's Disease. We also discuss Autosomal Dominant Alzheimer's Disease and cerebrovascular small vessel disease, where the application of retinal imaging holds promise but data is currently scarce. Although cerebrovascular disease is not generally considered a neurodegenerative process, it is both a confounder and contributor to neurodegenerative disease processes that requires more attention. Finally, we discuss ongoing efforts to overcome the limitations in the field and unmet clinical and scientific needs.
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126
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Alexopoulos GS. Mechanisms and Treatment of Late-Life Depression. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2021; 19:340-354. [PMID: 34690604 DOI: 10.1176/appi.focus.19304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
(Appeared originally in Translational Psychiatry 2019; 9:188).
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Affiliation(s)
- George S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, 21 Bloomingdale Road, White Plains, NY 10605, USA
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127
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Tian D, Zhang L, Zhuang Z, Huang T, Fan D. A two-sample Mendelian randomization analysis of heart rate variability and cerebral small vessel disease. J Clin Hypertens (Greenwich) 2021; 23:1608-1614. [PMID: 34196464 PMCID: PMC8678680 DOI: 10.1111/jch.14316] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 04/14/2021] [Accepted: 05/03/2021] [Indexed: 11/26/2022]
Abstract
Cerebral small vessel disease (cSVD) is correlated with a high risk of stroke and cognitive impairment. Previous studies between heart rate variability (HRV) and cSVD revealed paradoxical results. The authors aimed to investigate the relationship between HRV and cSVD using Mendelian randomization analysis. Genetic instruments for HRV were obtained from previous genome‐wide association studies. They applied inverse variance‐weighted analysis, weighted median analysis, simple median analysis, and Mendelian randomization–Egger regression to evaluate the associations of HRV with white matter hyperintensity (WMH) and small vessel stroke (SVS) in the UK Biobank neuroimaging dataset and the MEGASTROKE genome‐wide association study dataset. Two genetically predicted traits of HRV (the root mean square of the successive differences of inter beat intervals [RMSSD] and the peak‐valley respiratory sinus arrhythmia or high frequency power [pvRSA/HF]) were suggestively associated with WMH (β 0.26, 95% confidence interval [CI] 0.04–0.49, p = .02; β 0.14, 95% CI 0.02–0.27, p = .03, respectively). Genetically predicted traits of HRV were not significantly associated with SVS. This study provides genetic support for a suggestive causal effect of HRV (RMSSD, pvRSA/HF) on WMH but not SVS.
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Affiliation(s)
- Danyang Tian
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Linjing Zhang
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China
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128
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Zee B, Wong Y, Lee J, Fan Y, Zeng J, Lam B, Wong A, Shi L, Lee A, Kwok C, Lai M, Mok V, Lau A. Machine-learning method for localization of cerebral white matter hyperintensities in healthy adults based on retinal images. Brain Commun 2021; 3:fcab124. [PMID: 34222872 PMCID: PMC8249101 DOI: 10.1093/braincomms/fcab124] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 03/26/2021] [Accepted: 04/14/2021] [Indexed: 11/12/2022] Open
Abstract
Retinal vessels are known to be associated with various cardiovascular and cerebrovascular disease outcomes. Recent research has shown significant correlations between retinal characteristics and the presence of cerebral small vessel disease as measured by white matter hyperintensities from cerebral magnetic resonance imaging. Early detection of age-related white matter changes using retinal images is potentially helpful for population screening and allow early behavioural and lifestyle intervention. This study investigates the ability of the machine-learning method for the localization of brain white matter hyperintensities. All subjects were age 65 or above without any history of stroke and dementia and recruited from local community centres and community networks. Subjects with known retinal disease or disease influencing vessel structure in colour retina images were excluded. All subjects received MRI on the brain, and age-related white matter changes grading was determined from MRI as the primary endpoint. The presence of age-related white matter changes on each of the six brain regions was also studied. Retinal images were captured using a fundus camera, and the analysis was done based on a machine-learning approach. A total of 240 subjects are included in the study. The analysis of various brain regions included the left and right sides of frontal lobes, parietal–occipital lobes and basal ganglia. Our results suggested that data from both eyes are essential for detecting age-related white matter changes in the brain regions, but the retinal parameters useful for estimation of the probability of age-related white matter changes in each of the brain regions may differ for different locations. Using a classification and regression tree approach, we also found that at least three significant heterogeneous subgroups of subjects were identified to be essential for the localization of age-related white matter changes. Namely those with age-related white matter changes in the right frontal lobe, those without age-related white matter changes in the right frontal lobe but with age-related white matter changes in the left parietal–occipital lobe, and the rest of the subjects. Outcomes such as risks of severe grading of age-related white matter changes and the proportion of hypertension were significantly related to these subgroups. Our study showed that automatic retinal image analysis is a convenient and non-invasive screening tool for detecting age-related white matter changes and cerebral small vessel disease with good overall performance. The localization analysis for various brain regions shows that the classification models on each of the six brain regions can be done, and it opens up potential future clinical application.
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Affiliation(s)
- Benny Zee
- Centre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Clinical Trials and Biostatistics Lab, CUHK Shenzhen Research Institute, Shenzhen, China
| | - Yanny Wong
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Jack Lee
- Centre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Clinical Trials and Biostatistics Lab, CUHK Shenzhen Research Institute, Shenzhen, China
| | - Yuhua Fan
- Department of Neurology, First Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.,Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department, National Key Discipline, Guangzhou 510080, China
| | - Jinsheng Zeng
- Department of Neurology, First Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.,Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department, National Key Discipline, Guangzhou 510080, China
| | - Bonnie Lam
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Adrian Wong
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Lin Shi
- BrainNow Research Institute, Shenzhen, Guangdong Province, China.,Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Allen Lee
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Chloe Kwok
- Centre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Maria Lai
- Centre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Vincent Mok
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Alexander Lau
- Margaret KL Cheung Research Centre for Management of Parkinsonism, Therese Pei Fong Chow Research Centre for Prevention of Dementia and Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.,Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
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129
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Chan AX, Bakhoum CY, Bangen KJ, Bakhoum MF. Relationship between Retinal Vascular Occlusions and Cognitive Dementia in a Large Cross-Sectional Cohort. Am J Ophthalmol 2021; 226:201-205. [PMID: 33529587 DOI: 10.1016/j.ajo.2021.01.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 01/26/2021] [Accepted: 01/27/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE To examine the association between cognitive dementia and retinal vascular occlusions. DESIGN A retrospective, cross-sectional study. METHODS Single-institution study population: we reviewed the electronic medical records of 37,208 individuals older than 65 years of age who were evaluated by an ophthalmologist or an optometrist and who also had a medical visit to our institution over a 6-year period. Individuals with and without retinal vascular occlusions were identified by International Classification of Diseases, version 10 (ICD-10) diagnostic codes. MAIN OUTCOME we analyzed the association between dementia and retinal vascular occlusions after adjusting for covariates which included age, sex, stroke, diabetes mellitus, and hypertension using multiple logistic regression analyses. RESULTS Compared to subjects without retinal vascular occlusions, those with retinal vascular occlusions had a higher prevalence of dementia (6.7% vs. 9.3%, respectively; P < .001). After adjusting for either age or stroke, there were no significant associations between retinal vascular occlusions and dementia. CONCLUSIONS Individuals with retinal vascular occlusions have a higher prevalence of dementia. However, this association is secondary to shared underlying risk factors in this population, such as older age and stroke.
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130
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Wang M, Hu HY, Wang ZT, Ou YN, Qu Y, Ma YH, Dong Q, Tan L, Yu JT. Association of cerebral microbleeds with risks of cognitive impairment and dementia: A systematic review and meta-analysis of prospective studies. BRAIN DISORDERS 2021. [DOI: 10.1016/j.dscb.2021.100010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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131
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de Erausquin GA, Snyder H, Carrillo M, Hosseini AA, Brugha TS, Seshadri S. The chronic neuropsychiatric sequelae of COVID-19: The need for a prospective study of viral impact on brain functioning. Alzheimers Dement 2021; 17:1056-1065. [PMID: 33399270 PMCID: PMC10431934 DOI: 10.1002/alz.12255] [Citation(s) in RCA: 116] [Impact Index Per Article: 38.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 11/04/2020] [Indexed: 12/17/2022]
Abstract
INTRODUCTION The increasing evidence of SARS-CoV-2 impact on the central nervous system (CNS) raises key questions on its impact for risk of later life cognitive decline, Alzheimer's disease (AD), and other dementia. METHODS The Alzheimer's Association and representatives from more than 30 countries-with technical guidance from the World Health Organization-have formed an international consortium to study the short-and long-term consequences of SARS-CoV-2 on the CNS-including the underlying biology that may contribute to AD and other dementias. This consortium will link teams from around the world covering more than 22 million COVID-19 cases to enroll two groups of individuals including people with disease, to be evaluated for follow-up evaluations at 6, 9, and 18 months, and people who are already enrolled in existing international research studies to add additional measures and markers of their underlying biology. CONCLUSIONS The increasing evidence and understanding of SARS-CoV-2's impact on the CNS raises key questions on the impact for risk of later life cognitive decline, AD, and other dementia. This program of studies aims to better understand the long-term consequences that may impact the brain, cognition, and functioning-including the underlying biology that may contribute to AD and other dementias.
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Affiliation(s)
- Gabriel A. de Erausquin
- The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UTHSA, San Antonio, Texas, USA
| | | | | | - Akram A. Hosseini
- Neurology Department, Nottingham University Hospitals NHS Trust, Queen’s Medical Centre, Nottingham, UK
| | - Traolach S. Brugha
- Social and Epidemiological Psychiatry Research Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Sudha Seshadri
- The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UTHSA, San Antonio, Texas, USA
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132
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Webb AJ, Lawson A, Li L, Mazzucco S, Rothwell PM. Physiological determinants of residual cerebral arterial pulsatility on best medical treatment after TIA or minor stroke. J Cereb Blood Flow Metab 2021; 41:1463-1471. [PMID: 33153374 PMCID: PMC8138338 DOI: 10.1177/0271678x20969984] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Cerebral arterial pulsatility is strongly associated with cerebral small vessel disease and lacunar stroke yet its dependence on central versus local haemodynamic processes is unclear. In a population-based study of patients on best medical managment, 4-6 weeks after a TIA or non-disabling stroke, arterial stiffness and aortic systolic, diastolic and pulse pressures were measured (Sphygmocor). Middle cerebral artery peak and trough flow velocities and Gosling's pulsatility index were measured by transcranial ultrasound. In 981 participants, aortic and cerebral pulsatility rose strongly with age in both sexes, but aortic diastolic pressure fell more with age in men whilst cerebral trough velocity fell more in women. There was no significant association between aortic systolic or diastolic blood pressure with cerebral peak or trough flow velocity but aortic pulse pressure explained 37% of the variance in cerebral arterial pulsatility, before adjustment, whilst 49% of the variance was explained by aortic pulse pressure, arterial stiffness, age, gender and cardiovascular risk factors. Furthermore, arterial stiffness partially mediated the relationship between aortic and cerebral pulsatility. Overall, absolute aortic pressures and cerebral blood flow velocity were poorly correlated but aortic and cerebral pulsatility were strongly related, suggesting a key role for transmission of aortic pulsatility to the brain.
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Affiliation(s)
- Alastair Js Webb
- Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
| | - Amy Lawson
- Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
| | - Linxin Li
- Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
| | - Sara Mazzucco
- Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
| | - Peter M Rothwell
- Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
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- Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
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133
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Abstract
BACKGROUND Microvascular dysfunction (MVD) contributes to stroke, dementia, depression, retinopathy and chronic kidney disease. However, the determinants of MVD are incompletely understood. Greater blood pressure variability (BPV) may be one such determinant. METHODS AND RESULTS We used cross-sectional data of The Maastricht Study (n = 2773, age 59.9 years; 51.9% men) to investigate whether greater very short- to mid-term BPV is associated with various MVD measures. We standardized and averaged within-visit, 24-h and 7-day BPV into a systolic and a diastolic BPV composite score. MVD measures included a composite score of MRI cerebral small vessel disease (CSVD) features (total brain parenchymal volume, white matter hyperintensity volume, lacunar infarcts and cerebral microbleeds), a composite score of flicker light-induced retinal arteriolar and venular dilation response, albuminuria, heat-induced skin hyperemia and a composite score of plasma biomarkers of MVD (sICAM-1, sVCAM-1, sE-selectin and von Willebrand Factor). We used linear regression adjusted for age, sex, glucose metabolism status, mean 24-h systolic or DBP, cardiovascular risk factors and antihypertensive medication. We found that higher systolic and diastolic BPV composite scores (per SD) were associated with higher albuminuria [higher ratio, 1.04 (95% CI 1.00-1.08) and 1.07 (1.03-1.11), respectively], but not with other measures of MVD tested. CONCLUSION Greater systolic and diastolic BPV was associated with higher albuminuria, but not with CSVD features, flicker light-induced retinal arteriolar and venular dilation response, heat-induced skin hyperemia and plasma biomarkers of MVD. This suggests that the microvasculature of the kidneys is most vulnerable to the detrimental effects of greater BPV.
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134
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Tu Y, Zhou X, Shao L, Zheng J, Wang J, Wang Y, Tong W, Wang M, Wu J, Zhu J, Yan R, Ji Y, Chen L, Zhu D, Wang H, Chen S, Liu R, Lin J, Zhang J, Huang H, Zhao Y, Ge M. Predicting Progression of COVID-19 Infection to Prioritize Medical Resource Allocation: A Novel Triage Model Based on Patient Characteristics and Symptoms at Presentation. Front Public Health 2021; 9:610280. [PMID: 34046384 PMCID: PMC8144294 DOI: 10.3389/fpubh.2021.610280] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 03/17/2021] [Indexed: 01/08/2023] Open
Abstract
Background: The COVID-19 global pandemic has posed unprecedented challenges to health care systems all over the world. The speed of the viral spread results in a tsunami of patients, which begs for a reliable screening tool using readily available data to predict disease progression. Methods: Multicenter retrospective cohort study was performed to develop and validate a triage model. Patient demographic and non-laboratory clinical data were recorded. Using only the data from Zhongnan Hospital, step-wise multivariable logistic regression was performed, and a prognostic nomogram was constructed based on the independent variables identifies. The discrimination and calibration of the model were validated. External independent validation was performed to further address the utility of this model using data from Jinyintan Hospital. Results: A total of 716 confirmed COVID-19 cases from Zhongnan Hospital were included for model construction. Men, increased age, fever, hypertension, cardio-cerebrovascular disease, dyspnea, cough, and myalgia are independent risk factors for disease progression. External independent validation was carried out in a cohort with 201 cases from Jinyintan Hospital. The area under the curve (AUC) was 0.787 (95% confidence interval [CI]: 0.747-0.827) in the training group and 0.704 (95% CI: 0.632-0.777) in the validation group. Conclusions: We developed a novel triage model based on basic and clinical data. Our model could be used as a pragmatic screening aid to allow for cost efficient screening to be carried out such as over the phone, which may reduce disease propagation through limiting unnecessary contact. This may help allocation of limited medical resources.
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Affiliation(s)
- Yuexing Tu
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | | | - Lina Shao
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Jiayin Zheng
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Jiafeng Wang
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Yixin Wang
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Weiwei Tong
- Gennlife (Beijing) Technology Co. Ltd., Beijing, China
| | - Mingshan Wang
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Jia Wu
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Junpeng Zhu
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Rong Yan
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Yemin Ji
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Legao Chen
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Di Zhu
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Huafang Wang
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Sheng Chen
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Renyang Liu
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Jingyang Lin
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Jun Zhang
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Haijun Huang
- Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Yan Zhao
- Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Minghua Ge
- Zhejiang Provincial People's Hospital, Hangzhou, China
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Schulz M, Malherbe C, Cheng B, Thomalla G, Schlemm E. Functional connectivity changes in cerebral small vessel disease - a systematic review of the resting-state MRI literature. BMC Med 2021; 19:103. [PMID: 33947394 PMCID: PMC8097883 DOI: 10.1186/s12916-021-01962-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 03/17/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) is a common neurological disease present in the ageing population that is associated with an increased risk of dementia and stroke. Damage to white matter tracts compromises the substrate for interneuronal connectivity. Analysing resting-state functional magnetic resonance imaging (fMRI) can reveal dysfunctional patterns of brain connectivity and contribute to explaining the pathophysiology of clinical phenotypes in CSVD. MATERIALS AND METHODS This systematic review provides an overview of methods and results of recent resting-state functional MRI studies in patients with CSVD. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol, a systematic search of the literature was performed. RESULTS Of 493 studies that were screened, 44 reports were identified that investigated resting-state fMRI connectivity in the context of cerebral small vessel disease. The risk of bias and heterogeneity of results were moderate to high. Patterns associated with CSVD included disturbed connectivity within and between intrinsic brain networks, in particular the default mode, dorsal attention, frontoparietal control, and salience networks; decoupling of neuronal activity along an anterior-posterior axis; and increases in functional connectivity in the early stage of the disease. CONCLUSION The recent literature provides further evidence for a functional disconnection model of cognitive impairment in CSVD. We suggest that the salience network might play a hitherto underappreciated role in this model. Low quality of evidence and the lack of preregistered multi-centre studies remain challenges to be overcome in the future.
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Affiliation(s)
- Maximilian Schulz
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Caroline Malherbe
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Department of Computational Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Eckhard Schlemm
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
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136
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Castello JP, Pasi M, Abramson JR, Rodriguez-Torres A, Marini S, Demel S, Gilkerson L, Kubiszewski P, Charidimou A, Kourkoulis C, DiPucchio Z, Schwab K, Gurol ME, Viswanathan A, Anderson CD, Langefeld CD, Flaherty ML, Towfighi A, Greenberg SM, Woo D, Rosand J, Biffi A. Contribution of Racial and Ethnic Differences in Cerebral Small Vessel Disease Subtype and Burden to Risk of Cerebral Hemorrhage Recurrence. Neurology 2021; 96:e2469-e2480. [PMID: 33883240 DOI: 10.1212/wnl.0000000000011932] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 02/24/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Black and Hispanic survivors of intracerebral hemorrhage (ICH) are at higher risk of recurrent intracranial bleeding. MRI-based markers of chronic cerebral small vessel disease (CSVD) are consistently associated with recurrent ICH. We therefore sought to investigate whether racial/ethnic differences in MRI-defined CSVD subtype and severity contribute to disparities in ICH recurrence risk. METHODS We analyzed data from the Massachusetts General Hospital ICH study (n = 593) and the Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study (n = 329). Using CSVD markers derived from MRIs obtained within 90 days of index ICH, we classified ICH cases as cerebral amyloid angiopathy (CAA)-related, hypertensive arteriopathy (HTNA)-related, and mixed etiology. We quantified CSVD burden using validated global, CAA-specific, and HTNA-specific scores. We compared CSVD subtype and severity among White, Black, and Hispanic ICH survivors and investigated its association with ICH recurrence risk. RESULTS We analyzed data for 922 ICH survivors (655 White, 130 Black, 137 Hispanic). Minority ICH survivors had greater global CSVD (p = 0.011) and HTNA burden (p = 0.021) on MRI. Furthermore, minority survivors of HTNA-related and mixed-etiology ICH demonstrated higher HTNA burden, resulting in increased ICH recurrence risk (all p < 0.05). CONCLUSIONS We uncovered significant differences in CSVD subtypes and severity among White and minority survivors of primary ICH, with direct implication for known disparities in ICH recurrence risk. Future studies of racial/ethnic disparities in ICH outcomes will benefit from including detailed MRI-based assessment of CSVD subtypes and severity and investigating social determinants of health.
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Affiliation(s)
- Juan Pablo Castello
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Marco Pasi
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Jessica R Abramson
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Axana Rodriguez-Torres
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Sandro Marini
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Stacie Demel
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Lee Gilkerson
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Patryk Kubiszewski
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Andreas Charidimou
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Christina Kourkoulis
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Zora DiPucchio
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Kristin Schwab
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - M Edip Gurol
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Anand Viswanathan
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Christopher D Anderson
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Carl D Langefeld
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Matthew L Flaherty
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Amytis Towfighi
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Steven M Greenberg
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Daniel Woo
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Jonathan Rosand
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA
| | - Alessandro Biffi
- From the Department of Neurology (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K., Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Hemorrhagic Stroke Research Program (J.P.C., J.R.A., A.R.-T., S.M., P.K., A.C., C.K, Z.D., K.S., M.E.G., A.V., C.D.A., S.M.G., J.R., A.B.), Henry and Allison McCance Center for Brain Health (J.P.C., J.R.A., P.K., C.K., C.D.A., J.R., A.B.), and Center for Genomic Medicine (J.R.A., S.M., P.K., C.K., C.D.A., J.R., A.B.), Massachusetts General Hospital, Boston; University of Lille (M.P.), Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, France; School of Medicine (A.R.-T.), University of California, Irvine; Department of Neurology and Rehabilitation Medicine (S.D., L.G., M.L.F., D.W.), University of Cincinnati, OH; Department of Biostatistics and Data Sciences (C.D.L.), Wake Forest University, Winston-Salem, NC; Department of Neurology (A.T.), Keck School of Medicine, University of Southern California; and Los Angeles County Department of Health Services (A.T.), CA.
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137
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Satoh M. Changes in the Association between Blood Pressure Indices and Subclinical Cerebrovascular Diseases. J Atheroscler Thromb 2021; 29:143-145. [PMID: 33828004 PMCID: PMC8803563 DOI: 10.5551/jat.ed167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Michihiro Satoh
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University.,Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University
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138
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Frey BM, Petersen M, Schlemm E, Mayer C, Hanning U, Engelke K, Fiehler J, Borof K, Jagodzinski A, Gerloff C, Thomalla G, Cheng B. White matter integrity and structural brain network topology in cerebral small vessel disease: The Hamburg city health study. Hum Brain Mapp 2021; 42:1406-1415. [PMID: 33289924 PMCID: PMC7927298 DOI: 10.1002/hbm.25301] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 11/08/2020] [Accepted: 11/16/2020] [Indexed: 12/13/2022] Open
Abstract
Cerebral small vessel disease is a common finding in the elderly and associated with various clinical sequelae. Previous studies suggest disturbances in the integration capabilities of structural brain networks as a mediating link between imaging and clinical presentations. To what extent cerebral small vessel disease might interfere with other measures of global network topology is not well understood. Connectomes were reconstructed via diffusion weighted imaging in a sample of 930 participants from a population based epidemiologic study. Linear models were fitted testing for an association of graph-theoretical measures reflecting integration and segregation with both the Peak width of Skeletonized Mean Diffusivity (PSMD) and the load of white matter hyperintensities of presumed vascular origin (WMH). The latter were subdivided in periventricular and deep for an analysis of localisation-dependent correlations of cerebral small vessel disease. The median WMH volume was 0.6 mL (1.4) and the median PSMD 2.18 mm2 /s x 10-4 (0.5). The connectomes showed a median density of 0.880 (0.030), the median values for normalised global efficiency, normalised clustering coefficient, modularity Q and small-world propensity were 0.780 (0.045), 1.182 (0.034), 0.593 (0.026) and 0.876 (0.040) respectively. An increasing burden of cerebral small vessel disease was significantly associated with a decreased integration and increased segregation and thus decreased small-worldness of structural brain networks. Even in rather healthy subjects increased cerebral small vessel disease burden is accompanied by topological brain network disturbances. Segregation parameters and small-worldness might as well contribute to the understanding of the known clinical sequelae of cerebral small vessel disease.
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Affiliation(s)
- Benedikt M. Frey
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Marvin Petersen
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Eckhard Schlemm
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Carola Mayer
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Uta Hanning
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Kristin Engelke
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Jens Fiehler
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Katrin Borof
- Epidemiological study centerUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Annika Jagodzinski
- Epidemiological study centerUniversity Medical Center Hamburg‐EppendorfHamburgGermany
- Department of General and Interventional CardiologyUniversity Heart and Vascular CenterHamburgGermany
| | - Christian Gerloff
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Götz Thomalla
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Bastian Cheng
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
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139
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Al-Baradie RS, Pu S, Liu D, Zeinolabediny Y, Ferris G, Sanfeli C, Corpas R, Garcia-Lara E, Alsagaby SA, Alshehri BM, Abdel-Hadi AM, Ahmad F, Moatari P, Heidari N, Slevin M. Monomeric C-Reactive Protein Localized in the Cerebral Tissue of Damaged Vascular Brain Regions Is Associated With Neuro-Inflammation and Neurodegeneration-An Immunohistochemical Study. Front Immunol 2021; 12:644213. [PMID: 33796111 PMCID: PMC8007856 DOI: 10.3389/fimmu.2021.644213] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 02/22/2021] [Indexed: 11/13/2022] Open
Abstract
Monomeric C-reactive protein (mCRP) is now accepted as having a key role in modulating inflammation and in particular, has been strongly associated with atherosclerotic arterial plaque progression and instability and neuroinflammation after stroke where a build-up of the mCRP protein within the brain parenchyma appears to be connected to vascular damage, neurodegenerative pathophysiology and possibly Alzheimer's Disease (AD) and dementia. Here, using immunohistochemical analysis, we wanted to confirm mCRP localization and overall distribution within a cohort of AD patients showing evidence of previous infarction and then focus on its co-localization with inflammatory active regions in order to provide further evidence of its functional and direct impact. We showed that mCRP was particularly seen in large amounts within brain vessels of all sizes and that the immediate micro-environment surrounding these had become laden with mCRP positive cells and extra cellular matrix. This suggested possible leakage and transport into the local tissue. The mCRP-positive regions were almost always associated with neurodegenerative, damaged tissue as hallmarked by co-positivity with pTau and β-amyloid staining. Where this occurred, cells with the morphology of neurons, macrophages and glia, as well as smaller microvessels became mCRP-positive in regions staining for the inflammatory markers CD68 (macrophage), interleukin-1 beta (IL-1β) and nuclear factor kappa B (NFκB), showing evidence of a perpetuation of inflammation. Positive staining for mCRP was seen even in distant hypothalamic regions. In conclusion, brain injury or inflammatory neurodegenerative processes are strongly associated with mCRP localization within the tissue and given our knowledge of its biological properties, it is likely that this protein plays a direct role in promoting tissue damage and supporting progression of AD after injury.
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Affiliation(s)
- Raid S Al-Baradie
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Al Majma'ah, Saudi Arabia
| | - Shuang Pu
- National Natural Science foundation of China, Beijing, China.,School of Healthcare Science, John Dalton Building, Manchester Metropolitan University, Manchester, United Kingdom
| | - Donghui Liu
- School of Healthcare Science, John Dalton Building, Manchester Metropolitan University, Manchester, United Kingdom
| | - Yasmin Zeinolabediny
- School of Healthcare Science, John Dalton Building, Manchester Metropolitan University, Manchester, United Kingdom
| | - Glenn Ferris
- School of Healthcare Science, John Dalton Building, Manchester Metropolitan University, Manchester, United Kingdom
| | - Coral Sanfeli
- Instituto De Investigaciones Biomedicas De Barcelona, CSIC, Barcelona, Spain
| | - Ruben Corpas
- Instituto De Investigaciones Biomedicas De Barcelona, CSIC, Barcelona, Spain
| | - Elisa Garcia-Lara
- Department of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majma'ah, Saudi Arabia
| | - Suliman A Alsagaby
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Al Majma'ah, Saudi Arabia
| | - Bader M Alshehri
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Al Majma'ah, Saudi Arabia
| | - Ahmed M Abdel-Hadi
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Al Majma'ah, Saudi Arabia
| | - Fuzail Ahmad
- Department of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majma'ah, Saudi Arabia
| | - Psalm Moatari
- Salford Royal NHS Foundation Trust, Manchester, United Kingdom
| | | | - Mark Slevin
- National Natural Science foundation of China, Beijing, China.,University of Medicine, Pharmacy, Science and Technology, Târgu Mures, Romania
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140
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Jiang J, Gao Y, Zhang R, Wang L, Zhao X, Dai Q, Zhang W, Xu X, Chen X. Differential Effects of Serum Lipoprotein-Associated Phospholipase A2 on Periventricular and Deep Subcortical White Matter Hyperintensity in Brain. Front Neurol 2021; 12:605372. [PMID: 33763010 PMCID: PMC7982574 DOI: 10.3389/fneur.2021.605372] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 02/12/2021] [Indexed: 12/11/2022] Open
Abstract
Background and Purpose: Serum level of lipoprotein-associated phospholipase A2 (Lp-PLA2) was associated with white matter hyperintensity (WMH). There were differences in the anatomical structure and pathophysiological mechanism between periventricular WMH (PVWMH) and deep subcortical WMH (DSWMH). In this study, we aimed to investigate the effects of serum Lp-PLA2 on the PVWMH and DSWMH. Methods: In total, 711 Chinese adults aged ≥45 years with cranial magnetic resonance imaging (MRI) were recruited in this cross-sectional study, who had received physical examinations in the Department of Neurology, the Affiliated Jiangning Hospital of Nanjing Medical University due to dizziness and headaches between January 2016 and July 2019. Enzyme linked immunosorbent assay (ELISA) was utilized to determine the serum Lp-PLA2. Fazekas scale was used to measure the severity of PVWMH (grade 0-3) and DSWMH (grade 0-3) on MRI scans. Ordinal regression analysis was carried out to investigate the relationship between serum Lp-PLA2 and PVWMH or DSWMH. Results: Finally, 567 cases were included in this study. The average level of serum Lp-PLA2 was 213.35±59.34 ng/ml. There were statistical differences in the age, hypertension, diabetes mellitus, atrial fibrillation, lacunar infarction, Lp-PLA2 grade, creatinine, Hcy, and H-CRP (P < 0.05) in PVWMH groups. Ordinal regression analysis indicated that there was a lower risk of PVWMH in the patients with normal and moderately elevated serum Lp-PLA2 compared with those with significantly elevated serum Lp-PLA2 after adjusting age, hypertension, diabetes mellitus, atrial fibrillation, lacunar infarction, Cr, Hcy, and H-CRP. In addition, PVWMH was correlated to advanced age, hypertension, diabetes mellitus, and lacunar infarction. After adjusting for confounding factors, DSWMH was correlated to advanced age and lacunar infarction. There was no correlation between serum Lp-PLA2 and DSWMH. Conclusions: Serum Lp-PLA2 was closely associated with the pathogenesis of PVWMH rather than DSWMH. There might be different pathological mechanisms between PVWMH and DSWMH.
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Affiliation(s)
- Junying Jiang
- Department of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China
| | - Yuanyuan Gao
- Department of General Practice, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China
| | - Rui Zhang
- Department of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China
| | - Lin Wang
- Department of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China
| | - Xiaoyuan Zhao
- Department of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China
| | - Qi Dai
- Department of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China
| | - Wei Zhang
- Department of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China
| | - Xiujian Xu
- Department of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China
| | - Xuemei Chen
- Department of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China
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141
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Clancy U, Gilmartin D, Jochems ACC, Knox L, Doubal FN, Wardlaw JM. Neuropsychiatric symptoms associated with cerebral small vessel disease: a systematic review and meta-analysis. Lancet Psychiatry 2021; 8:225-236. [PMID: 33539776 DOI: 10.1016/s2215-0366(20)30431-4] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 09/09/2020] [Accepted: 09/23/2020] [Indexed: 01/13/2023]
Abstract
BACKGROUND Cerebral small vessel disease, a common cause of vascular dementia, is often considered clinically silent before dementia or stroke become apparent. However, some individuals have subtle symptoms associated with acute MRI lesions. We aimed to determine whether neuropsychiatric and cognitive symptoms vary according to small vessel disease burden. METHODS In this systematic review and meta-analysis, we searched MEDLINE, EMBASE, and PsycINFO for articles published in any language from database inception to Jan 24, 2020. We searched for studies assessing anxiety, apathy, delirium, emotional lability, fatigue, personality change, psychosis, dementia-related behavioural symptoms or cognitive symptoms (including subjective memory complaints), and radiological features of cerebral small vessel disease. We extracted reported odds ratios (OR), standardised mean differences (SMD), and correlations, stratified outcomes by disease severity or symptom presence or absence, and pooled data using random-effects meta-analyses, reporting adjusted findings when possible. We assessed the bias on included studies using the Risk of Bias for Non-randomized Studies tool. This study is registered with PROSPERO, CRD42018096673. FINDINGS Of 7119 papers identified, 81 studies including 79 cohorts in total were eligible for inclusion (n=21 730 participants, mean age 69·2 years). Of these 81 studies, 45 (8120 participants) reported effect estimates. We found associations between worse white matter hyperintensity (WMH) severity and apathy (OR 1·41, 95% CI 1·05-1·89) and the adjusted SMD in apathy score between WMH severities was 0·38 (95% CI 0·15-0·61). Worse WMH severity was also associated with delirium (adjusted OR 2·9, 95% CI 1·12-7·55) and fatigue (unadjusted OR 1·63, 95% CI 1·20-2·22). WMHs were not consistently associated with subjective memory complaints (OR 1·34, 95% CI 0·61-2·94) and unadjusted SMD for WMH severity between these groups was 0·08 (95% CI -0·31 to 0·47). Anxiety, dementia-related behaviours, emotional lability, and psychosis were too varied or sparse for meta-analysis; these factors were reviewed narratively. Overall heterogeneity varied from 0% to 79%. Only five studies had a low risk of bias across all domains. INTERPRETATION Apathy, fatigue, and delirium associated independently with worse WMH, whereas subjective cognitive complaints did not. The association of anxiety, dementia-related behaviours, emotional lability, and psychosis with cerebral small vessel disease require further investigation. These symptoms should be assessed longitudinally to improve early clinical detection of small vessel disease and enable prevention trials to happen early in the disease course, long before cognition declines. FUNDING Chief Scientist Office of the Scottish Government, UK Dementia Research Institute, Fondation Leducq, Stroke Association Garfield-Weston Foundation, Alzheimer's Society, and National Health Service Research Scotland.
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Affiliation(s)
- Una Clancy
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Daniel Gilmartin
- Department of Geriatric Medicine, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK
| | - Angela C C Jochems
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Lucy Knox
- Department of Medicine, Borders General Hospital, NHS Borders, Melrose, UK
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK.
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142
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Elliott ML, Caspi A, Houts RM, Ambler A, Broadbent JM, Hancox RJ, Harrington H, Hogan S, Keenan R, Knodt A, Leung JH, Melzer TR, Purdy SC, Ramrakha S, Richmond-Rakerd LS, Righarts A, Sugden K, Thomson WM, Thorne PR, Williams BS, Wilson G, Hariri AR, Poulton R, Moffitt TE. Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy. NATURE AGING 2021; 1:295-308. [PMID: 33796868 PMCID: PMC8009092 DOI: 10.1038/s43587-021-00044-4] [Citation(s) in RCA: 123] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 02/10/2021] [Indexed: 02/07/2023]
Abstract
Some humans age faster than others. Variation in biological aging can be measured in midlife, but the implications of this variation are poorly understood. We tested associations between midlife biological aging and indicators of future frailty-risk in the Dunedin cohort of 1037 infants born the same year and followed to age 45. Participants' Pace of Aging was quantified by tracking declining function in 19 biomarkers indexing the cardiovascular, metabolic, renal, immune, dental, and pulmonary systems across ages 26, 32, 38, and 45 years. At age 45 in 2019, participants with faster Pace of Aging had more cognitive difficulties, signs of advanced brain aging, diminished sensory-motor functions, older appearance, and more pessimistic perceptions of aging. People who are aging more rapidly than same-age peers in midlife may prematurely need supports to sustain independence that are usually reserved for older adults. Chronological age does not adequately identify need for such supports.
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Affiliation(s)
- Maxwell L. Elliott
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Renate M. Houts
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Antony Ambler
- King’s College London, Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, London, UK
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Robert J. Hancox
- Department of Preventive and Social Medicine, Otago Medical School, University of Otago, New Zealand
| | - HonaLee Harrington
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Sean Hogan
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ross Keenan
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Christchurch Radiology group, Christchurch, New Zealand
| | - Annchen Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Joan H. Leung
- School of Psychology, University of Auckland, New Zealand
- Eisdell Moore Centre, University of Auckland, New Zealand
| | - Tracy R. Melzer
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Suzanne C. Purdy
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- School of Psychology, University of Auckland, New Zealand
- Eisdell Moore Centre, University of Auckland, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Antoinette Righarts
- Department of Preventive and Social Medicine, Otago Medical School, University of Otago, New Zealand
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | | | - Peter R. Thorne
- Brain Research New Zealand-Rangahau Roro Aotearoa, Centre of Research Excellence, Universities of Auckland and Otago, New Zealand
- Eisdell Moore Centre, University of Auckland, New Zealand
- School of Population Health, University of Auckland, New Zealand
| | | | - Graham Wilson
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Ahmad R. Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Terrie E. Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
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143
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Nassir CMNCM, Ghazali MM, Hashim S, Idris NS, Yuen LS, Hui WJ, Norman HH, Gau CH, Jayabalan N, Na Y, Feng L, Ong LK, Abdul Hamid H, Ahamed HN, Mustapha M. Diets and Cellular-Derived Microparticles: Weighing a Plausible Link With Cerebral Small Vessel Disease. Front Cardiovasc Med 2021; 8:632131. [PMID: 33718454 PMCID: PMC7943466 DOI: 10.3389/fcvm.2021.632131] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 01/19/2021] [Indexed: 12/24/2022] Open
Abstract
Cerebral small vessel disease (CSVD) represents a spectrum of pathological processes of various etiologies affecting the brain microcirculation that can trigger neuroinflammation and the subsequent neurodegenerative cascade. Prevalent with aging, CSVD is a recognized risk factor for stroke, vascular dementia, Alzheimer disease, and Parkinson disease. Despite being the most common neurodegenerative condition with cerebrocardiovascular axis, understanding about it remains poor. Interestingly, modifiable risk factors such as unhealthy diet including high intake of processed food, high-fat foods, and animal by-products are known to influence the non-neural peripheral events, such as in the gastrointestinal tract and cardiovascular stress through cellular inflammation and oxidation. One key outcome from such events, among others, includes the cellular activations that lead to elevated levels of endogenous cellular-derived circulating microparticles (MPs). MPs can be produced from various cellular origins including leukocytes, platelets, endothelial cells, microbiota, and microglia. MPs could act as microthrombogenic procoagulant that served as a plausible culprit for the vulnerable end-artery microcirculation in the brain as the end-organ leading to CSVD manifestations. However, little attention has been paid on the potential role of MPs in the onset and progression of CSVD spectrum. Corroboratively, the formation of MPs is known to be influenced by diet-induced cellular stress. Thus, this review aims to appraise the body of evidence on the dietary-related impacts on circulating MPs from non-neural peripheral origins that could serve as a plausible microthrombosis in CSVD manifestation as a precursor of neurodegeneration. Here, we elaborate on the pathomechanical features of MPs in health and disease states; relevance of dietary patterns on MP release; preclinical studies pertaining to diet-based MPs contribution to disease; MP level as putative surrogates for early disease biomarkers; and lastly, the potential of MPs manipulation with diet-based approach as a novel preventive measure for CSVD in an aging society worldwide.
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Affiliation(s)
| | - Mazira Mohamad Ghazali
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia
| | - Sabarisah Hashim
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia
| | - Nur Suhaila Idris
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia
| | - Lee Si Yuen
- Department of Internal Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia
| | - Wong Jia Hui
- Neurobiology of Aging and Disease Laboratory, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Haziq Hazman Norman
- Anatomy Unit, International Medical School (IMS), Management and Science University (MSU), Shah Alam, Malaysia
| | - Chuang Huei Gau
- Department of Psychology and Counselling, Faculty of Arts and Social Science, Universiti Tunku Abdul Rahman (UTAR), Kampar, Malaysia
| | - Nanthini Jayabalan
- Translational Neuroscience Lab, University of Queensland (UQ), Centre for Clinical Research, The University of Queensland, Herston, QLD, Australia
| | - Yuri Na
- Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea
| | - Linqing Feng
- Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea
| | - Lin Kooi Ong
- School of Pharmacy, Monash University Malaysia, Bandar Sunway, Malaysia
- School of Biomedical Sciences and Pharmacy, Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Centre of Research Excellence Stroke Rehabilitation and Brain Recovery, National Health and Medical Research Council (NHMRC), Heidelberg, VIC, Australia
| | - Hafizah Abdul Hamid
- Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Haja Nazeer Ahamed
- Crescent School of Pharmacy, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India
| | - Muzaimi Mustapha
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia
- Hospital Universiti Sains Malaysia, Jalan Raja Perempuan Zainab II, Kubang Kerian, Malaysia
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144
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Leung J, Gouda H, Chung JYC, Irmansyah I. Comorbidity between depressive symptoms and chronic conditions - findings from the Indonesia Family Life Survey. J Affect Disord 2021; 280:236-240. [PMID: 33220559 DOI: 10.1016/j.jad.2020.11.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/30/2020] [Accepted: 11/02/2020] [Indexed: 01/18/2023]
Abstract
PURPOSE To estimate the prevalence of symptoms of depression in the population, and to identify patient groups with a history of chronic conditions with the highest risks of comorbid depression. METHODS Data were drawn from a population-representative sample of 31,447 participants in The Fifth Wave of the Indonesia Family Life Survey (IFLS5) conducted in 2014-15. Depressive symptoms were measured using the 10-item Center for Epidemiologic Studies Depression Scale-Revised (CES-D-R 10) that measures symptoms defined by the Diagnostic and Statistical Manual (DSM). Socio-demographic variables controlled for in the adjusted analysis included age, sex, education, and ethnicity. RESULTS Weighted prevalence of depressive symptoms, above the CES-D-R 10 cut-off, was 22.6% (females=23.0%, males=22.2%). Among those with a chronic condition, the highest risk of comorbid symptoms of depression was observed in those with a memory-related disease (OR=2.64 [1.49-4.68]) or stroke (OR=2.39 [1.75-3.27]). Depressive symptoms were also more commonly reported among people with hypertension, tuberculosis, asthma, other lung conditions, heart problems, liver diseases, arthritis or rheumatism, kidney diseases, stomach or digestive diseases. CONCLUSIONS Symptoms of depression are common in the general Indonesian population, and comorbidities are high in those with a history of chronic conditions, supporting the need for mental health care in patients presenting for physical diseases. Future research of clinical and patient samples will provide data in those who may be at increased risks.
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Affiliation(s)
- Janni Leung
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia; National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, QLD, Australia.
| | - Hebe Gouda
- School of Public Health, The University of Queensland, QLD, Australia.
| | - Jack Yiu Chak Chung
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia; National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, QLD, Australia.
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145
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Wang X, Zhao Q, Tao R, Lu H, Xiao Z, Zheng L, Ding D, Ding S, Ma Y, Lu Z, Xiao Y. Decreased Retinal Vascular Density in Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI): An Optical Coherence Tomography Angiography (OCTA) Study. Front Aging Neurosci 2021; 12:572484. [PMID: 33519415 PMCID: PMC7843508 DOI: 10.3389/fnagi.2020.572484] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 08/24/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND To explore the retinal vascular density changes in Alzheimer's disease (AD) and mild cognitive impairment (MCI) patients using optical coherence tomography angiography (OCTA). METHODS We recruit 62 AD patients, 47 MCI patients, and 49 cognitively healthy controls (HC) in this study. All participants in the study received a comprehensive ophthalmological and neurological evaluation, including global cognitive screening, as well as the Mini-Mental State Examination (MMSE), and completed the following eye examinations: visual acuity (VA), intraocular pressure (IOP), examination with slit-lamp, fundus photography (Version 1.5.0.0, NIDEK CO, LTD) and Optical coherence tomography imaging (software ReVue version 2017.1.0.155, Optovue Inc., Fremont, CA, United States). The visual rating scales for atrophy and white matter lesion in MRI was evaluated for all the patients with AD and MCI. RESULTS In the AD patient group, the superficial vascular density in the superior, inferior and whole retina was 44.64 ± 3.34, 44.65 ± 3.55, and 44.66 ± 3.36, respectively. These values were 44.24 ± 3.15, 43.72 ± 3.16, and 44 ± 3.07, respectively, in the MCI patient group. After multivariate analysis of the generalized linear model, adjustments for the confounding factors of sex, age, hypertension, diabetes and the quality index of OCTA image, the superficial vascular density in the AD and MCI patient groups was significantly lower than that in the HC group (P < 0.05): 46.94 ± 2.04, 46.67 ± 2.26, and 46.82 ± 2.08, respectively. No difference in the area of the FAZ among the three groups was observed (AD group: 0.34 ± 0.11 mm2; MCI group: 0.36 ± 0.12 mm2; control group: 0.33 ± 0.12 mm2, p > 0.05). The ganglion cell complex (GCC) thickness, inner parafovea thickness, and peripapillary retinal nerve fiber layer (p-RNFL) thickness were associated with the superficial vascular density. We found no significant correlation between the global cognition (MMSE scores) or between the Fazekas score and retinal OCT angiogram flow density. CONCLUSION The superficial vascular density in the AD and MCI patient groups was significantly lower than that in the HC group. Our findings suggest the retinal microvascular dysfunction occurred in MCI and AD.
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Affiliation(s)
- Xi Wang
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Rui Tao
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
| | - Huimeng Lu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhenxu Xiao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Zheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Saineng Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yichen Ma
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhaozeng Lu
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yiqin Xiao
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
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146
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Kim YD, Kim JY, Park YJ, Park SJ, Baik SH, Kang J, Jung C, Woo SJ. Cerebral magnetic resonance imaging of coincidental infarction and small vessel disease in retinal artery occlusion. Sci Rep 2021; 11:864. [PMID: 33441709 PMCID: PMC7806736 DOI: 10.1038/s41598-020-80014-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 12/14/2020] [Indexed: 12/14/2022] Open
Abstract
There are several reports in the literature on the association between non-arteritic retinal artery occlusion (NA-RAO) and acute ischemic stroke. We investigated the burden of small vessel disease (SVD) and cerebral coincident infarction observed on cerebral magnetic resonance imaging (MRI) in patients with newly diagnosed NA-RAO. In this retrospective, observational, case-series study, consecutive patients with NA-RAO who underwent cerebral MRI within one month of diagnosis between September 2003 and October 2018 were included. The classification of NA-RAO was based on ophthalmologic and systemic examinations. We also investigated the co-incident infarction and burden of underlying SVD, which were categorized as white matter hyperintensity lesion (WMH), cerebral microbleeds (CMB), and silent lacunar infarction (SLI). Among the 272 patients enrolled in the study, 18% presented co-incident infarction and 73% had SVD, which included WMH (70%), CMB (14%), and SLI (30%). Co-incident infarction, WMH, and SLI significantly increased with age: co-incident infarction was observed in 8% of young (< 50 years) patients and 30% of old (≥ 70 years) patients. The embolic etiology of RAO (large artery atherosclerosis, cardioembolism, and undetermined etiology) was significantly associated with the prevalence of SVD (82%: 70%: 64%, P = 0.002) and co-incident infarction (30%: 19%: 8%; P = 0.009). Therefore, high co-incidence of acute cerebral infarction and underlying SVD burden warrant careful neurologic examination and appropriate brain imaging, followed by management of NA-RAO. Urgent brain imaging is particularly pertinent in elderly patients with NA-RAO.
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Affiliation(s)
- Yong Dae Kim
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.,Department of Ophthalmology, Kangdong Sacred Heart Hospital, Seoul, South Korea
| | - Jun Yup Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.,Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Young Joo Park
- Department of Ophthalmology, Kangwon National University Hospital, Chuncheon, South Korea
| | - Sang Jun Park
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea
| | - Sung Hyun Baik
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea
| | - Jihoon Kang
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Cheolkyu Jung
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
| | - Se Joon Woo
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
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147
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Zhang R, Huang P, Jiaerken Y, Wang S, Hong H, Luo X, Xu X, Yu X, Li K, Zeng Q, Wu X, Lou M, Zhang M. Venous disruption affects white matter integrity through increased interstitial fluid in cerebral small vessel disease. J Cereb Blood Flow Metab 2021; 41:157-165. [PMID: 32065078 PMCID: PMC7747165 DOI: 10.1177/0271678x20904840] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Deep medullary veins (DMVs) participate in the drainage of surrounding white matter. In cerebral small vessel disease (CSVD), disrupted DMVs were often observed together with damaged white matter, but the phenomenon lacked validation and explanation. We hypothesized that venous disruption might cause white matter damage through increased interstitial fluid resulting from hemodynamic alteration, and we designed a comprehensive multi-modality MRI study to testify our hypothesis. Susceptibility-weighted imaging was used to investigate the characteristics of DMVs and derive DMVs scores. Free water elimination diffusion tensor imaging model was used to analyze interstitial fluid fraction (fraction of free water, fFW) and white matter integrity (tissue fractional anisotropy, FAt). Totally, 104 CSVD patients were included. Total DMVs score was associated with FAt of DMVs drainage area. The effect of total DMVs score on FAt was mediated by fFW, after controlling for age, sex, hypertension, regional cerebral blood flow and lacune numbers. The relationships between DMVs score, fFW and FAt were also significant in most DMVs drainage subregions. Therefore, we discovered the DMVs disruption - increased interstitial fluid - white matter damage link in CSVD patients, which was independent of arterial perfusion variations.
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Affiliation(s)
- Ruiting Zhang
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Xiaopei Xu
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Xinfeng Yu
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Xiao Wu
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
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148
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Gao X, Sun Z, Ma G, Li Y, Liu M, Zhang G, Xu H, Gao Y, Zhou J, Deng Q, Li R. Reduced Plasma Levels of α-Klotho and Their Correlation With Klotho Polymorphisms in Elderly Patients With Major Depressive Disorders. Front Psychiatry 2021; 12:682691. [PMID: 34721095 PMCID: PMC8548667 DOI: 10.3389/fpsyt.2021.682691] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 09/20/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Recent literature suggests that α-Klotho, a widely recognized anti-aging protein, is involved in longevity as well as in many diseases, including Alzheimer's disease, and depression. Although the Klotho gene encodes α-Klotho, a single transmembrane protein with intracellular and extracellular domains, the relationship between Klotho gene polymorphism and circulating α-Klotho levels in patients with major depressive disorder (MDD) is not clear. Methods: A total of 144 MDD patients and 112 age-matched healthy controls were included in this study. The Klotho genetic polymorphisms (rs9536314, rs9527025, and rs9315202) and plasma α-Klotho levels were measured by PCR and ELISA, respectively. The severity of depressive symptoms was estimated using the Hamilton Depression Scale (HAMD). Results: We found a significantly lower level of plasma α-Klotho in the MDD patients than in controls. Among them, only elderly MDD patients (first episode) showed significantly lower α-Klotho levels than the age-matched controls, while elderly recurrent and young MDD patients showed no difference in plasma α-Klotho levels from age-matched controls. The young MDD group showed a significantly earlier onset age, higher plasma α-Klotho levels, and lower HAMD scores than those in the elderly MDD group. While the plasma α-Klotho levels were higher in rs9315202 T alleles carrier regardless age or sex, the rs9315202 T allele was negatively correlated with disease severity only in the elderly MDD patients. Conclusion: The results of our study showed that only elderly MDD patients showed a decrease in plasma α-Klotho levels along with an increase in disease severity as well as an association with the number of rs9315202 T alleles, and not young MDD patients compared to age-matched controls. Our data suggest that circulating α-Klotho levels combined with Klotho genetic polymorphisms are important in elderly MDD patients, particularly carriers of the Klotho gene rs9315202 T allele.
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Affiliation(s)
- Xiang Gao
- Laboratory of Brain Disorders, Ministry of Science and Technology, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Zuoli Sun
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Guangwei Ma
- Laboratory of Brain Disorders, Ministry of Science and Technology, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Yuhong Li
- Laboratory of Brain Disorders, Ministry of Science and Technology, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Min Liu
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Guofu Zhang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Hong Xu
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yane Gao
- Laboratory of Brain Disorders, Ministry of Science and Technology, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Jixuan Zhou
- Laboratory of Brain Disorders, Ministry of Science and Technology, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Qi Deng
- Laboratory of Brain Disorders, Ministry of Science and Technology, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Rena Li
- Laboratory of Brain Disorders, Ministry of Science and Technology, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
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149
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Nowroozpoor A, Gutterman D, Safdar B. Is microvascular dysfunction a systemic disorder with common biomarkers found in the heart, brain, and kidneys? - A scoping review. Microvasc Res 2020; 134:104123. [PMID: 33333140 DOI: 10.1016/j.mvr.2020.104123] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 12/09/2020] [Accepted: 12/12/2020] [Indexed: 02/07/2023]
Abstract
Although microvascular dysfunction (MVD) has been well characterized in individual organs as different disease entities, clinical evidence is mounting in support of an underlying systemic process. To address this hypothesis, we systematically searched PubMed and Medline for studies in adults published between 2014 and 2019 that measured blood biomarkers of MVD in three vital organs i.e. brain, heart, and the kidney. Of the 9706 unique articles 321 met the criteria, reporting 49 biomarkers of which 16 were common to the three organs. Endothelial dysfunction, inflammation including reactive oxidation, immune activation, and coagulation were the commonly recognized pathways. Triglyceride, C-reactive protein, Cystatin C, homocysteine, uric acid, IL-6, NT-proBNP, thrombomodulin, von Willebrand Factor, and uric acid were increased in MVD of all three organs. In contrast, vitamin D was decreased. Adiponectin, asymmetric dimethylarginine, total cholesterol, high-density and low-density cholesterol were found to be variably increased or decreased in studies. We review the pathways underlying MVD in the three organs and summarize evidence supporting its systemic nature. This scoping review informs clinicians and researchers in the multi-system manifestation of MVD. Future work should focus on longitudinal investigations to evaluate the multi-system involvement of this disease.
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Affiliation(s)
- Armin Nowroozpoor
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States
| | - David Gutterman
- Department of Internal Medicine, Section of Cardiology, Cardiovascular Center, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Basmah Safdar
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States.
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150
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Zeng W, Chen Y, Zhu Z, Gao S, Xia J, Chen X, Jia J, Zhang Z. Severity of white matter hyperintensities: Lesion patterns, cognition, and microstructural changes. J Cereb Blood Flow Metab 2020; 40:2454-2463. [PMID: 31865841 PMCID: PMC7820685 DOI: 10.1177/0271678x19893600] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
White matter hyperintensity (WMH) is a common finding in aging population and considered to be a contributor to cognitive decline. Our study aimed to characterize the spatial patterns of WMH in different severities and explore its impact on cognition and brain microstructure in non-demented elderly. Lesions were both qualitatively (Fazekas scale) and quantitatively assessed among 321 community-dwelled individuals with MRI scanning. Voxel- and atlas-based analyses of the whole-brain white matter microstructure were performed. The WMH of the same severities was found to occur uniformly with a specific pattern of lesions. The severity of WMH had a significant negative association with the performance of working and episodic memory, beginning to appear in Fazekas 3 and 4. The white matter tracts presented significant impairments in Fazekas 3, which showed brain-wide changes above Fazekas 4. Lower FA in the superior cerebellar peduncle and left posterior thalamic radiation was mainly associated with episodic memory, and the middle cerebellar peduncle was significantly associated with working memory. These results support that memory is the primary domain to be affected by WMH, and the effect may potentially be influenced by tract-specific WM abnormalities. Fazekas scale 3 might be the critical stage predicting a future decline in cognition.
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Affiliation(s)
- Weiyi Zeng
- Medical School of Chinese PLA, Beijing, China.,Department of Geriatric Neurology, The Second Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,BABRI Centre, Beijing Normal University, Beijing, China
| | - Zhibao Zhu
- Department of Neurology, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Shudan Gao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,BABRI Centre, Beijing Normal University, Beijing, China
| | - Jianan Xia
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,BABRI Centre, Beijing Normal University, Beijing, China.,School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
| | - Xiaochun Chen
- Department of Neurology, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Jianjun Jia
- Medical School of Chinese PLA, Beijing, China.,Department of Geriatric Neurology, The Second Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,BABRI Centre, Beijing Normal University, Beijing, China
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