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Melgarejo JD, Gurel K, Compton CR, Liu M, Guzman V, Assuras S, Levin BE, Elkind MSV, Ikram MK, Kavousi M, Ikram MA, Wright C, Crivello F, Laurent A, Tzourio C, Vernooij MW, Rundek T, Zhang Z, Bos D, Gutierrez J. Brain artery diameters and risk of dementia and stroke. Alzheimers Dement 2024; 20:2497-2507. [PMID: 38332543 PMCID: PMC11032539 DOI: 10.1002/alz.13712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 02/10/2024]
Abstract
INTRODUCTION We tested the association of brain artery diameters with dementia and stroke risk in three distinct population-based studies using conventional T2-weighted brain magnetic resonance imaging (MRI) images. METHODS We included 8420 adults > 40 years old from three longitudinal population-based studies with brain MRI scans. We estimated and meta-analyzed the hazard ratios (HRs) of the brain and carotids and basilar diameters associated with dementia and stroke. RESULT Overall and carotid artery diameters > 95th percentile increased the risk for dementia by 1.74 (95% confidence interval [CI], 1.13-2.68) and 1.48 (95% CI, 1.12-1.96) fold, respectively. For stroke, meta-analyses yielded HRs of 1.59 (95% CI, 1.04-2.42) for overall arteries and 2.11 (95% CI, 1.45-3.08) for basilar artery diameters > 95th percentile. DISCUSSION Individuals with dilated brain arteries are at higher risk for dementia and stroke, across distinct populations. Our findings underline the potential value of T2-weighted brain MRI-based brain diameter assessment in estimating the risk of dementia and stroke.
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Affiliation(s)
- Jesus D. Melgarejo
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Studies Coordinating CentreResearch Unit Hypertension and Cardiovascular EpidemiologyKU Leuven Department of Cardiovascular SciencesUniversity of LeuvenLeuvenBelgium
- Institute of NeuroscienceUniversity of Texas Rio Grande ValleyHarlingenTexasUSA
| | - Kursat Gurel
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Cassidy Rose Compton
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Minghua Liu
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Vanessa Guzman
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Stephanie Assuras
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Bonnie E. Levin
- Department of NeurologyMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Mitchell S. V. Elkind
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public Health Columbia UniversityNew YorkNew YorkUSA
| | - M. Kamran Ikram
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of NeurologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Maryam Kavousi
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Clinton Wright
- National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
| | - Fabrice Crivello
- Institute of Neurodegenerative DiseasesUMR5293, Neurofunctional Imaging GroupBordeauxFrance
| | - Alexandre Laurent
- Institute of Neurodegenerative DiseasesUMR5293, Neurofunctional Imaging GroupBordeauxFrance
| | - Christophe Tzourio
- Bordeaux Population Health Research CenterInserm, University BordeauxBordeauxFrance
| | - Meike W. Vernooij
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Tatjana Rundek
- Department of Public Health Sciences and Evelyn F. McKnight Brain InstituteMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Zhen‐Yu Zhang
- Studies Coordinating CentreResearch Unit Hypertension and Cardiovascular EpidemiologyKU Leuven Department of Cardiovascular SciencesUniversity of LeuvenLeuvenBelgium
| | - Daniel Bos
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Studies Coordinating CentreResearch Unit Hypertension and Cardiovascular EpidemiologyKU Leuven Department of Cardiovascular SciencesUniversity of LeuvenLeuvenBelgium
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Jose Gutierrez
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
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Tang M, Zhou D, He J, Bai H, Li Q, Xu H. Chitinase-3 like-protein-1, matrix metalloproteinase -9 and positive intracranial arterial remodelling. Front Aging Neurosci 2023; 15:1154116. [PMID: 37091521 PMCID: PMC10119585 DOI: 10.3389/fnagi.2023.1154116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/20/2023] [Indexed: 04/08/2023] Open
Abstract
IntroductionPositive intracranial arterial remodelling is a dilated lesion of the large intracranial vessels; however, its pathogenesis is currently unknown. Some studies have identified chitinase-3 like-protein-1 (YKL-40) and matrix metalloproteinase (MMP)-9 as circulating inflammatory factors involved in positive vascular remodelling. Herein, we aimed to investigate the relationship between changes in serum YKL-40 and MMP-9 levels and positive intracranial arterial remodelling in patients with cerebral small vessel disease (CSVD).MethodsA total of 110 patients with CSVD were selected. Patients with brain arterial remodelling (BAR) scores >1 times the standard deviation were defined as the positive intracranial artery remodelling group (n = 21 cases), and those with BAR scores ≤1 times the standard deviation were defined as the non-positive intracranial artery remodelling group (n = 89 cases). Serum YKL-40 and MMP-9 levels were measured using an enzyme-linked immunosorbent assay kit. Factors influencing positive intracranial artery remodelling using binary logistic regression analysis and predictive value of YKL-40 and MMP-9 for positive intracranial arterial remodelling in patients with CSVD were assessed by a subject receiver operating characteristic curve.ResultsStatistically significant differences in serum YKL-40 and MMP-9 levels were observed between the positive and non-positive remodelling groups (p < 0.05). The integrated indicator (OR = 9.410, 95% CI: 3.156 ~ 28.054, P<0.01) of YKL-40 and MMP-9 levels were independent risk factors for positive intracranial arterial remodelling. The integrated indicator (OR = 3.763, 95% CI: 1.884 ~ 7.517, p < 0.01) of YKL-40 and MMP-9 were independent risk factors for positive arterial remodelling in posterior circulation, but were not significantly associated with positive arterial remodelling in anterior circulation (p > 0.05). The area under the curve for YKL-40 and MMP-9 diagnostic positive remodelling was 0.778 (95% CI: 0.692–0.865, p < 0.01) and 0.736 (95% CI: 0.636–0.837, p < 0.01), respectively.DiscussionElevated serum YKL-40 and MMP-9 levels are independent risk factors for positive intracranial arterial remodelling in patients with CSVD and may predict the presence of positive intracranial arterial remodelling, providing new ideas for the mechanism of its occurrence and development and the direction of treatment.
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Affiliation(s)
- Ming Tang
- Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Dongyang Zhou
- Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junhui He
- Department of Cardiology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hongying Bai
- Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Hongying Bai,
| | - Qianqian Li
- Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Qianqian Li,
| | - Hui Xu
- Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Li H, Liu P, Ma HY, Hua WL, Zhang YX, Zhang L, Zhang YW, Hong B, Yang PF, Liu JM. Novel predictors and a predictive model of cerebrovascular atherosclerotic ischemic stroke based on clinical databases. Neurol Res 2022; 45:391-399. [PMID: 36413433 DOI: 10.1080/01616412.2022.2149185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND AND PURPOSE Early identification of cerebrovascular atherosclerotic ischemic stroke is necessary for accurate treatment and clinical research. AIMS To identify novel predictors and build a predictive model of ischemic strokes due to cerebrovascular atherosclerosis. METHOD MIMIC-IV database was used to search for clinical data of patients with ischemic stroke. Included patients were divided into two groups according to their etiologies. Univariate and multivariate logistic regressions were used to build the predictive model, and the model reliability parameters were calculated. The cut-off value for the model was selected according to the Youden index. Clinical data from the Neurovascular Center of Changhai Hospital were used to verify the predictive model. RESULTS Logistical regressions showed a positive correlation between advanced age, peripheral atherosclerosis, history of transient ischemia, and the diagnosis of ischemic strokes due to cerebrovascular atherosclerosis. The history of atrial fibrillation, levels of the National Institutes of Health Stroke Scale, serum potassium, and activated partial thromboplastin time were negatively correlated to the diagnosis of cerebrovascular atherosclerotic ischemic stroke. The predictive model was constructed from logistic regression results, and the area under the curve was 0.764. The cut-off value for the model was set at 0.089 to achieve the highest Youden index, with sensitivity and specificity of 75.9% and 64.1%. Clinical verification of the model revealed that the sensitivity and specificity of the model were 52.5% and 93.0% respectively. CONCLUSION The efficacy of the predictive model was acceptable as an aid in predicting cerebrovascular atherosclerotic ischemic stroke.
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Affiliation(s)
- He Li
- Emergency Department, Naval Hospital of Eastern Theater, Zhoushan, China
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Pei Liu
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Hong-Yu Ma
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Wei-Long Hua
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yong-Xin Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Lei Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yong-Wei Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Bo Hong
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Peng-Fei Yang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Jian-Min Liu
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
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Omran SS, Khasiyev F, Zhang C, Rundek T, Sacco RL, Wright CB, Elkind MS, Gutierrez J. Anatomical effects on the relationship between brain arterial diameter and length: The Northern Manhattan Study. J Neuroimaging 2022; 32:735-743. [PMID: 35083811 PMCID: PMC9308622 DOI: 10.1111/jon.12969] [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] [Received: 11/03/2021] [Revised: 12/07/2021] [Accepted: 01/07/2022] [Indexed: 10/19/2022] Open
Abstract
BACKGROUND AND PURPOSE In patients with dolichoectasia, it is uncertain how dilatation and/or elongation relate to each other. We aimed to examine the correlation between arterial diameter and length within arteries and across the circle of Willis (COW). METHODS We included stroke-free participants in the Northern Manhattan Study who underwent magnetic resonance angiography. Intracranial artery diameters and lengths were obtained with semiautomated commercial software and were adjusted for head size. We first investigated the correlation between diameters and length using Pearson's correlation coefficient. We then built generalized linear models adjusted for demographics and risk factors. RESULTS Among 1210 participants included in the analysis (mean age 71 ± 9 years, 59% women, 65% Hispanic), a larger basilar artery (BA) diameter correlated with greater BA length (r = .3), and left and right middle cerebral artery (MCA) diameters correlated with one another (r = .4). Across the COW, BA diameter correlated with MCA diameters (r = .3 for both). In adjusted analyses, MCA diameters were associated with larger posterior circulation diameters (β = 0.07), MCA and BA lengths (β = 0.003 and β = 0.002, respectively), presence of fetal posterior cerebral artery (PCA), (β = 0.11), and a complete COW (β = -0.02). Similarly, BA length was associated with a fetal PCA (β = 1.1), and BA diameter was associated with anterior circulation diameters (β = 0.15) and presence of fetal PCA (β = -0.4). CONCLUSIONS COW configuration should be considered when using arterial diameter cutoffs to define dolichoectasia. Further studies are needed to discern whether arterial diameter or length best identify individuals at risk of vascular events attributable to dolichoectasia.
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Affiliation(s)
- Setareh Salehi Omran
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Farid Khasiyev
- Department of Neurology, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - Cen Zhang
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Tatjana Rundek
- Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, FL, USA
- Department of Neurology, University of Miami, Miami, FL, USA
| | - Ralph L. Sacco
- Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, FL, USA
- Department of Neurology, University of Miami, Miami, FL, USA
| | - Clinton B. Wright
- National Institute of Neurologic Disorders and Stroke, Bethesda, MD, USA
| | - Mitchell S.V. Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University Medical Center, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
| | - Jose Gutierrez
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University Medical Center, New York, NY, USA
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Brain arterial dilatation and the risk of Alzheimer's disease. Alzheimers Dement 2019; 15:666-674. [PMID: 30827874 DOI: 10.1016/j.jalz.2018.12.018] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Revised: 12/11/2018] [Accepted: 12/29/2018] [Indexed: 12/11/2022]
Abstract
INTRODUCTION We tested the hypothesis that brain arterial dilatation increases the risk of Alzheimer's dementia (AD). METHODS We studied dementia-free participants in the Washington Heights-Inwood Columbia Aging Project who had a brain MRI and post-MRI dementia adjudication. We measured the axial T2-proton density diameters of the intracranial carotids and basilar diameters and used Cox models to obtain AD hazard ratios and 95% intervals. RESULTS Of 953 participants (mean age 77 ± 7 y, women 64%, 71% nonwhite) followed on average for 3 ± 3 years, 76 (8%) developed AD. In a model adjusted for demographics, vascular risks, apolipoprotein E (APOE)-ε4, and white matter hyperintensities, larger carotid diameters increased the risk of AD, defined categorically as ≥ 90th percentile (HR 4.34, 1.70-11.11) or continuously (HR 1.44 per SD, 1.07-1.94). DISCUSSION Understanding the pathophysiology of the association between AD and brain arterial dilatation may reveal new clues to the vascular contributions to AD.
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Altered cerebral hemodyamics and cortical thinning in asymptomatic carotid artery stenosis. PLoS One 2017; 12:e0189727. [PMID: 29240808 PMCID: PMC5730122 DOI: 10.1371/journal.pone.0189727] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2017] [Accepted: 11/30/2017] [Indexed: 11/19/2022] Open
Abstract
Cortical thinning is a potentially important biomarker, but the pathophysiology in cerebrovascular disease is unknown. We investigated the association between regional cortical blood flow and regional cortical thickness in patients with asymptomatic unilateral high-grade internal carotid artery disease without stroke. Twenty-nine patients underwent high resolution anatomical and single-delay, pseudocontinuous arterial spin labeling magnetic resonance imaging with partial volume correction to assess gray matter baseline flow. Cortical thickness was estimated using Freesurfer software, followed by co-registration onto each patient's cerebral blood flow image space. Paired t-tests assessed regional cerebral blood flow in motor cortex (supplied by the carotid artery) and visual cortex (indirectly supplied by the carotid) on the occluded and unoccluded side. Pearson correlations were calculated between cortical thickness and regional cerebral blood flow, along with age, hypertension, diabetes and white matter hyperintensity volume. Multiple regression and generalized estimating equation were used to predict cortical thickness bilaterally and in each hemisphere separately. Cortical blood flow correlated with thickness in motor cortex bilaterally (p = 0.0002), and in the occluded and unoccluded sides individually; age (p = 0.002) was also a predictor of cortical thickness in the motor cortex. None of the variables predicted cortical thickness in visual cortex. Blood flow was significantly lower on the occluded versus unoccluded side in the motor cortex (p<0.0001) and in the visual cortex (p = 0.018). On average, cortex was thinner on the side of occlusion in motor but not in visual cortex. The association between cortical blood flow and cortical thickness in carotid arterial territory with greater thinning on the side of the carotid occlusion suggests that altered cerebral hemodynamics is a factor in cortical thinning.
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