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Huang WQ, Lin Q, Tzeng CM. Leukoaraiosis: Epidemiology, Imaging, Risk Factors, and Management of Age-Related Cerebral White Matter Hyperintensities. J Stroke 2024; 26:131-163. [PMID: 38836265 PMCID: PMC11164597 DOI: 10.5853/jos.2023.02719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 01/15/2024] [Indexed: 06/06/2024] Open
Abstract
Leukoaraiosis (LA) manifests as cerebral white matter hyperintensities on T2-weighted magnetic resonance imaging scans and corresponds to white matter lesions or abnormalities in brain tissue. Clinically, it is generally detected in the early 40s and is highly prevalent globally in individuals aged >60 years. From the imaging perspective, LA can present as several heterogeneous forms, including punctate and patchy lesions in deep or subcortical white matter; lesions with periventricular caps, a pencil-thin lining, and smooth halo; as well as irregular lesions, which are not always benign. Given its potential of having deleterious effects on normal brain function and the resulting increase in public health burden, considerable effort has been focused on investigating the associations between various risk factors and LA risk, and developing its associated clinical interventions. However, study results have been inconsistent, most likely due to potential differences in study designs, neuroimaging methods, and sample sizes as well as the inherent neuroimaging heterogeneity and multi-factorial nature of LA. In this article, we provided an overview of LA and summarized the current knowledge regarding its epidemiology, neuroimaging classification, pathological characteristics, risk factors, and potential intervention strategies.
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Affiliation(s)
- Wen-Qing Huang
- Department of Central Laboratory, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Lin
- Department of Neurology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- Xiamen Clinical Research Center for Neurological Diseases, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- Fujian Provincial Clinical Research Center for Brain Diseases, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- The Third Clinical College, Fujian Medical University, Fuzhou, Fujian, China
| | - Chi-Meng Tzeng
- Translational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, China
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Zhou M, Mei L, Jing J, Yang Y, Cai X, Meng X, Jin A, Lin J, Li S, Li H, Wei T, Wang Y, Wang Y, Pan Y. Blood Pressure Partially Mediated the Association of Insulin Resistance and Cerebral Small Vessel Disease: A Community-Based Study. J Am Heart Assoc 2024; 13:e031723. [PMID: 38390815 PMCID: PMC10944068 DOI: 10.1161/jaha.123.031723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 01/26/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND Insulin resistance as a significant vascular risk factor has been studied in relation to cerebral small vessel disease (SVD). Evidence suggests that insulin resistance might trigger high blood pressure (BP). Therefore, we aimed to investigate whether insulin resistance impacts SVD with a mediating effect of BP in nondiabetic subjects. METHODS AND RESULTS PRECISE (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) study participants underwent brain and vascular imaging techniques and metabolomic risk factors measurements. Insulin resistance was evaluated by the insulin sensitivity index and the Homeostatic Model Assessment for Insulin Resistance based on the standard oral glucose tolerance test. On average, 2752 nondiabetic subjects (47.1% men) aged 60.9 years were included. The multivariable logistic regression model and linear regression model tested the association of insulin resistance with BP components (including systolic BP [SBP], diastolic BP (DBP), and pulse pressure [PP]) and SVD, and of BP components with SVD. In the mediation analysis, SBP, DBP, and PP were found to partially mediate the detrimental effect of insulin resistance (assessed by the insulin sensitivity index) on lacunes (mediation percentage: SBP, 31.15%; DBP, 34.21%; PP, 10.43%), white matter hyperintensity (mediation percentage: SBP, 37.34%; DBP, 44.15%; PP, 9.80%), and SVD total burden (mediation percentage: SBP, 42.07%; DBP, 49.29%; PP, 11.71%) (all P<0.05). The mediation analysis results were not significant when using the Homeostatic Model Assessment for Insulin Resistance to assess insulin resistance. CONCLUSIONS Higher insulin resistance was associated with SVD in this community-dwelling population. The association of insulin resistance with lacunes, white matter hyperintensity, and SVD total burden was explained in part by BP. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT03178448.
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Affiliation(s)
- Mengyuan Zhou
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui HospitalZhejiang University School of MedicineLishuiChina
| | - Jing Jing
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Yingying Yang
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Xueli Cai
- Department of NeurologyLishui Hospital, Zhejiang University School of MedicineLishuiChina
| | - Xia Meng
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Aoming Jin
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Jinxi Lin
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Shan Li
- Cerebrovascular Research Lab, Lishui HospitalZhejiang University School of MedicineLishuiChina
| | - Hao Li
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
| | - Tiemin Wei
- Department of Cardiology, Lishui HospitalZhejiang University School of MedicineLishuiChina
| | - Yongjun Wang
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- National Center for Neurological DiseasesBeijingChina
- Advanced Innovation Center for Human Brain ProtectionCapital Medical UniversityBeijingChina
| | - Yilong Wang
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Chinese Institute for Brain ResearchBeijingChina
- National Center for Neurological DiseasesBeijingChina
- Advanced Innovation Center for Human Brain ProtectionCapital Medical UniversityBeijingChina
- Beijing Laboratory of Oral HealthCapital Medical UniversityBeijingChina
| | - Yuesong Pan
- Department of NeurologyBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
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Miyagi T, Ishida A, Shinzato T, Ohya Y. Arterial Stiffness Is Associated With Small Vessel Disease Irrespective of Blood Pressure in Stroke-Free Individuals. Stroke 2023; 54:2814-2821. [PMID: 37846566 DOI: 10.1161/strokeaha.123.042512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 08/03/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Arterial stiffness and hypertension are important risk factors for cerebral small vessel disease (CSVD). Clinically, there are hypertensive patients with low pulse wave velocity (PWV) and nonhypertensive individuals with high PWV. We aimed to determine the effects of arterial stiffness on CSVD in normotensive individuals. METHODS An observational cross-sectional study was conducted in 1894 stroke-free participants who underwent brain magnetic resonance imaging and brachial-ankle pulse wave velocity (baPWV) measurements at a health checkup between 2013 and 2020. CSVD was defined as any of following: white matter hyperintensities, cerebral microbleeds, silent lacunar infarcts, and enlarged perivascular spaces. baPWV was measured using an automatic oscillometric device. Participants were divided into 4 groups according to the following cutoff points: low blood pressure (BP, <120/80 mm Hg) with low baPWV (<14.63 m/s, a cutoff value that predicted CSVD); high BP (≥120/80 mm Hg) with low baPWV; low BP with high baPWV (≥14.63 m/s); and high BP with high baPWV. RESULTS The mean age of the participants was 57±13 years (41% women). The prevalence of CSVD was 718 (38%), which was higher in the low BP with high baPWV (56%) and high BP with high baPWV (55%) groups than in the high BP with low baPWV (24%) and low BP with low baPWV (22%) groups. Compared with the low BP with low baPWV group, the low BP with high baPWV group (odds ratio, 1.63 [95% CI, 1.09-2.43]) and the high BP with high baPWV group (odds ratio, 1.86 [95% CI, 1.39-2.49]) had a significantly higher multivariable-adjusted risk for CSVD. CONCLUSIONS Individuals with a high baPWV had a higher prevalence of CSVD, independent of BP status. Higher arterial stiffness is likely to be a more important risk factor for CSVD than BP status in stroke-free individuals.
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Affiliation(s)
- Tomo Miyagi
- Department of Cardiovascular Medicine, Nephrology and Neurology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan (T.M., A.I., Y.O.)
| | - Akio Ishida
- Department of Cardiovascular Medicine, Nephrology and Neurology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan (T.M., A.I., Y.O.)
| | | | - Yusuke Ohya
- Department of Cardiovascular Medicine, Nephrology and Neurology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan (T.M., A.I., Y.O.)
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Feng L, Ye Z, Mo C, Wang J, Liu S, Gao S, Ke H, Canida TA, Pan Y, van Greevenbroek MM, Houben AJ, Wang K, Hatch KS, Ma Y, Lei DK, Chen C, Mitchell BD, Hong LE, Kochunov P, Chen S, Ma T. Elevated blood pressure accelerates white matter brain aging among late middle-aged women: a Mendelian Randomization study in the UK Biobank. J Hypertens 2023; 41:1811-1820. [PMID: 37682053 PMCID: PMC11083214 DOI: 10.1097/hjh.0000000000003553] [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] [Indexed: 09/09/2023]
Abstract
BACKGROUND Elevated blood pressure (BP) is a modifiable risk factor associated with cognitive impairment and cerebrovascular diseases. However, the causal effect of BP on white matter brain aging remains unclear. METHODS In this study, we focused on N = 228 473 individuals of European ancestry who had genotype data and clinical BP measurements available (103 929 men and 124 544 women, mean age = 56.49, including 16 901 participants with neuroimaging data available) collected from UK Biobank (UKB). We first established a machine learning model to compute the outcome variable brain age gap (BAG) based on white matter microstructure integrity measured by fractional anisotropy derived from diffusion tensor imaging data. We then performed a two-sample Mendelian randomization analysis to estimate the causal effect of BP on white matter BAG in the whole population and subgroups stratified by sex and age brackets using two nonoverlapping data sets. RESULTS The hypertension group is on average 0.31 years (95% CI = 0.13-0.49; P < 0.0001) older in white matter brain age than the nonhypertension group. Women are on average 0.81 years (95% CI = 0.68-0.95; P < 0.0001) younger in white matter brain age than men. The Mendelian randomization analyses showed an overall significant positive causal effect of DBP on white matter BAG (0.37 years/10 mmHg, 95% CI 0.034-0.71, P = 0.0311). In stratified analysis, the causal effect was found most prominent among women aged 50-59 and aged 60-69. CONCLUSION High BP can accelerate white matter brain aging among late middle-aged women, providing insights on planning effective control of BP for women in this age group.
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Affiliation(s)
- Li Feng
- Department of Nutrition and Food Science, College of Agriculture & Natural Resources, University of Maryland, College Park
| | - Zhenyao Ye
- Maryland Psychiatric Research Center, Department of Psychiatry
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland
| | - Chen Mo
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Jingtao Wang
- Department of Hematology, Qilu Hospital of Shandong University
| | - Song Liu
- School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - Hongjie Ke
- Department of Epidemiology and Biostatistics, School of Public Health
| | - Travis A. Canida
- Department of Mathematics, The College of Computer, Mathematical, and Natural Sciences, University of Maryland, College Park, Maryland, USA
| | - Yezhi Pan
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - Marleen M.J. van Greevenbroek
- Department of Internal Medicine, Maastricht University Medical Centre
- CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Alfons J.H.M. Houben
- Department of Internal Medicine, Maastricht University Medical Centre
- CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Kai Wang
- Department of Internal Medicine, Maastricht University Medical Centre
- CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | | | - Yizhou Ma
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - David K.Y. Lei
- Department of Nutrition and Food Science, College of Agriculture & Natural Resources, University of Maryland, College Park
| | - Chixiang Chen
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland
| | - Braxton D. Mitchell
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA
| | - L. Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland
| | - Tianzhou Ma
- Department of Epidemiology and Biostatistics, School of Public Health
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Liu S, Wang M, Gu D, Li Y, Zhang X, Li H, Ji C, Nie X, Liu J. Optimal systolic and diastolic blood pressure threshold that associated with lower risk of white matter hyperintensity progression. Front Aging Neurosci 2023; 15:1254463. [PMID: 37927340 PMCID: PMC10620971 DOI: 10.3389/fnagi.2023.1254463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/05/2023] [Indexed: 11/07/2023] Open
Abstract
Background The optimal control thresholds for systolic blood pressure (SBP) and diastolic blood pressure (DBP) in patients with white matter hyperintensity (WMH) are still unclear. Method A longitudinal retrospective study of patients with brain magnetic resonance imaging (MRI) scans with intervals of more than 3 years was conducted. Blood pressure records during hospitalization and from outpatient visits between baseline and the last MRI scan were collected. The outcome was the change in total WMH from baseline to the final visit. Results Among the 965 patients with MRI scans, 457 patients with detailed longitudinal blood pressure records were ultimately included and classified into the WMH absent group (n = 121), mild WMH group (n = 126), and moderate to severe WMH group (n = 210). Both baseline and longitudinal mean SBP, DBP, and SBP SD were significantly associated with WMH severity (p < 0.05). An average SBP of 130-140 mmHg [vs. <130 mmHg, aOR, 1.80, (95% CI, 1.05-3.07), p = 0.03] was associated with a higher risk of WMH progression. DBP ≥ 90 mmHg [vs. <80 mmHg, OR, 1.81, (95% CI, 0.88-3.74), p = 0.02, aOR, 1.54, (95% CI, 0.66-3.53), p = 0.32] was associated with a higher risk of WMH progression, but was not after adjusted for other covariates. Longitudinal BP variability was not significantly associated with WMH progression. Conclusion Both SBP and DBP had a stronger relationship with the severity of WMH. A target mean SBP of <130 mmHg and mean DBP of <80 mmHg was associated with a lower risk of WMH progression.
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Affiliation(s)
- Sibo Liu
- Intensive Care Unit, Dalian Municipal Central Hospital Affiliated Dalian University of Technology, Dalian, China
| | - Mengxing Wang
- China National Clinical Research Center for Neurological Diseases Beijing China, Beijing, China
| | - De’an Gu
- Department of Neurology, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital, Qingdao, China
| | - Yanzhao Li
- Department of Neurosurgery, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Xin Zhang
- Department of General Medicine, Dalian Municipal Central Hospital Affiliated Dalian University of Technology, Dalian, China
| | - Hang Li
- Department of Geriatrics, Affiliated Dalian Friendship Hospital of Dalian Medical University, Dalian, China
| | - Chenhua Ji
- Department of General Medicine, Dalian Municipal Central Hospital Affiliated Dalian University of Technology, Dalian, China
| | - Ximing Nie
- Neurocritical Care Unit, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinjie Liu
- Department of General Medicine, Dalian Municipal Central Hospital Affiliated Dalian University of Technology, Dalian, China
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Zhang R, Peng L, Cai Q, Xu Y, Liu Z, Liu Y. Development and validation of a predictive model for white matter lesions in young- and middle-aged people. Front Neurol 2023; 14:1257795. [PMID: 37928162 PMCID: PMC10622790 DOI: 10.3389/fneur.2023.1257795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/02/2023] [Indexed: 11/07/2023] Open
Abstract
Background White matter lesion (WML) is an age-related disorder associated with stroke and cognitive impairment. This study aimed to investigate the risk factors and build a predictive model of WML in young- and middle-aged people. Methods We performed a second analysis of the data from the Dryad Digital Repository. We selected those people who are <60 years old and randomly divided them into the training group and the validation group. We investigated the risk factors of WML in the training group with logistic regression analysis and built a prediction nomogram based on multivariate logistic regression analysis; finally, the performance of the prediction nomogram was evaluated for discrimination, accuracy, and clinical utility. Results There were 308 people in the training group and 723 people in the validation group. Multivariate regression analysis showed that the age (OR = 1.49, 95% CI: 1.31-1.70), diastolic blood pressure (OR = 1.02, 95% CI: 1.00-1.03), carotid plaque score (OR = 1.31, 95% CI: 1.14-1.50), female gender (OR = 2.27, 95% CI: 1.56-3.30), and metabolic syndrome (OR = 2.12, 95% CI: 1.22-3.70) were significantly associated with white matter lesions. The area under the curve value (AUC) of the receiver operating curve (ROC) was 0.734 for the training group and 0.642 for the validation group. The calibration curve and clinical impact curve showed that the prediction nomogram has good accuracy and clinical application value. Conclusion Age, diastolic blood pressure, carotid plaque score, female gender, and metabolic syndrome were risk factors in young- and middle-aged people <60 years old with WML, and the nomogram based on these risk factors showed good discrimination, accuracy, and clinical utility.
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Affiliation(s)
- Renwei Zhang
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Li Peng
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Qi Cai
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yao Xu
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zhenxing Liu
- Department of Neurology, Yiling Hospital of Yichang, Yichang, China
| | - Yumin Liu
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, China
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Duchesne J, Carrière I, Artero S, Brickman AM, Maller J, Meslin C, Chen J, Vienneau D, de Hoogh K, Jacquemin B, Berr C, Mortamais M. Ambient Air Pollution Exposure and Cerebral White Matter Hyperintensities in Older Adults: A Cross-Sectional Analysis in the Three-City Montpellier Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:107013. [PMID: 37878794 PMCID: PMC10599635 DOI: 10.1289/ehp12231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 09/28/2023] [Accepted: 10/04/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Growing epidemiological evidence suggests an adverse relationship between exposure to air pollutants and cognitive health, and this could be related to the effect of air pollution on vascular health. OBJECTIVE We aim to evaluate the association between air pollution exposure and a magnetic resonance imaging (MRI) marker of cerebral vascular burden, white matter hyperintensities (WMH). METHODS This cross-sectional analysis used data from the French Three-City Montpellier study. Randomly selected participants 65-80 years of age underwent an MRI examination to estimate their total and regional cerebral WMH volumes. Exposure to fine particulate matter (PM 2.5 ), nitrogen dioxide (NO 2 ), and black carbon (BC) at the participants' residential address during the 5 years before the MRI examination was estimated with land use regression models. Multinomial and binomial logistic regression assessed the associations between exposure to each of the three pollutants and categories of total and lobar WMH volumes. RESULTS Participants' (n = 582 ) median age at MRI was 70.7 years [interquartile range (IQR): 6.1], and 52% (n = 300 ) were women. Median exposure to air pollution over the 5 years before MRI acquisition was 24.3 (IQR: 1.7) μ g / m 3 for PM 2.5 , 48.9 (14.6) μ g / m 3 for NO 2 , and 2.66 (0.60) 10 - 5 / m for BC. We found no significant association between exposure to the three air pollutants and total WMH volume. We found that PM 2.5 exposure was significantly associated with higher risk of temporal lobe WMH burden [odds ratio (OR) for an IQR increase = 1.82 (95% confidence interval: 1.41, 2.36) for the second volume tercile, 2.04 (1.59, 2.61) for the third volume tercile, reference: first volume tercile]. Associations for other regional WMH volumes were inconsistent. CONCLUSION In this population-based study in older adults, PM 2.5 exposure was associated with increased risk of high WMH volume in the temporal lobe, strengthening the evidence on PM 2.5 adverse effect on the brain. Further studies looking at different markers of cerebrovascular damage are still needed to document the potential vascular effects of air pollution. https://doi.org/10.1289/EHP12231.
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Affiliation(s)
- Jeanne Duchesne
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - Isabelle Carrière
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - Sylvaine Artero
- Institute of Functional Genomics (IGF), University of Montpellier, CNRS, Inserm, Montpellier, France
| | - Adam M. Brickman
- Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York, USA
| | - Jerome Maller
- Monash Alfred Psychiatry Research Centre, Melbourne, Victoria, Australia
- General Electric Healthcare, Richmond, Victoria, Australia
| | - Chantal Meslin
- Centre for Mental Health Research, Australian National University, Canberra, Australia
| | - Jie Chen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Bénédicte Jacquemin
- Irset Institut de Recherche en Santé, Environnement et Travail, UMR-S 1085, Inserm, University of Rennes, EHESP, Rennes, France
| | - Claudine Berr
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - Marion Mortamais
- Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
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Wang L, Lin H, Zhao Z, Chen L, Wu L, Liu T, Li J, Huang CC, Peng Y, Lo CYZ, Gao X. Sex disparity of cerebral white matter hyperintensity in the hypertensive elderly: The Shanghai Changfeng study. Hum Brain Mapp 2023; 44:2099-2108. [PMID: 36583389 PMCID: PMC9980881 DOI: 10.1002/hbm.26196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 12/04/2022] [Accepted: 12/18/2022] [Indexed: 12/31/2022] Open
Abstract
White matter hyperintensity (WMH) is associated with vascular hemodynamic alterations and reflects white matter injury. To date, the sex difference of tract-specific WMH and the relationship between high blood pressure (BP) and tract-specific WMH remain unclear. We recruited 515 subjects from the Shanghai Changfeng study (range 53-89 years, mean age 67.33 years). Systolic and diastolic blood pressure (SBP and DBP) were collected and used to calculate pulse pressure (PP). Magnetic resonance T1 and T2 FLAIR images were acquired to measure WMH and calculate WMH index. The ANCOVA test was performed to test the difference between sexes, and the linear regression model was used to examine the associations between BP and WMH index. Men showed higher WMH index than women in all white matter tracts (p < .001, respectively) except for the bilateral superior longitudinal fasciculus (SLF) and its left temporal part (tSLF). High SBP and PP was associated with a lower WMH index on the left corticospinal tract (CST), SLF, tSLF and right cingulum in hippocampus (p ≤ .001, respectively) in women, while high DBP was associated with a higher WMH index on the bilateral CST (left p < .001; right p = .001), left inferior longitudinal fasciculus (p < .001) and inferior fronto-occipital fasciculus (p = .002) in men. Men tend to have more WMH compared to women. A high SBP/PP relates to a lower WMH burden in women. This suggests that women could benefit from higher blood pressure in older age.
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Affiliation(s)
- Liangqi Wang
- Department of Radiology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China.,School of Life Sciences, Fudan University, Shanghai, China
| | - Huandong Lin
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China.,Institute for Metabolic Diseases, Fudan University, Shanghai, China
| | - Zehua Zhao
- Department of Radiology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Lingyan Chen
- Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Li Wu
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Institute for Metabolic Diseases, Fudan University, Shanghai, China
| | - Ting Liu
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jing Li
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chu-Chung Huang
- School of Psychology and Cognitive Science, Institute of Cognitive Neuroscience, East China Normal University, Shanghai, China
| | - Yifeng Peng
- Department of Radiology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chun-Yi Zac Lo
- Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China
| | - Xin Gao
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China.,Institute for Metabolic Diseases, Fudan University, Shanghai, China
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Gronewold J, Jokisch M, Schramm S, Himpfen H, Ginster T, Tenhagen I, Doeppner TR, Jockwitz C, Miller T, Lehmann N, Moebus S, Jöckel KH, Erbel R, Caspers S, Hermann DM. Association of regional white matter hyperintensities with hypertension and cognition in the population-based 1000BRAINS study. Eur J Neurol 2023; 30:1174-1190. [PMID: 36702775 DOI: 10.1111/ene.15716] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/05/2023] [Indexed: 01/28/2023]
Abstract
BACKGROUND White matter hyperintensities of presumed vascular origin (WMH) are frequent in cerebral magnetic resonance imaging of older people. They are promoted by vascular risk factors, especially hypertension, and are associated with cognitive deficits at the group level. It has been suggested that not only the severity, but also the location, of lesions might critically influence cognitive deficits and represent different pathologies. METHODS In 560 participants (65.2 ± 7.5 years, 51.4% males) of the population-based 1000BRAINS study, we analyzed the association of regional WMH using Fazekas scoring separately for cerebral lobes, with hypertension and cognition. RESULTS WMH most often affected the frontal lobe (83.7% score >0), followed by the parietal (75.8%), temporal (32.7%), and occipital lobe (7.3%). Higher Fazekas scores in the frontal, parietal, and temporal lobe were associated with higher blood pressure and antihypertensive treatment in unadjusted ordinal regression models and in models adjusted for age, sex, and vascular risk factors (e.g., age- and sex-adjusted odds ratio = 1.14, 95% confidence interval = 1.03-1.25 for the association of frontal lobe WMH Fazekas score with systolic blood pressure [SBP] [per 10 mm Hg]; 1.13 [1.02-1.23] for the association of parietal lobe score with SBP; 1.72 [1.19-2.48] for the association of temporal lobe score with antihypertensive medications). In linear regressions, higher frontal lobe scores were associated with lower performance in executive function and non-verbal memory, and higher parietal lobe scores were associated with lower performance in executive function, verbal-, and non-verbal memory. CONCLUSIONS Hypertension promotes WMH in the frontal, parietal, and temporal lobe. WMH in the frontal and parietal lobe are associated with reduced executive function and memory.
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Affiliation(s)
- Janine Gronewold
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
| | - Martha Jokisch
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Heiko Himpfen
- Department of Cardiology, Gastroenterology and Intensive-Care Medicine, Alfried Krupp Krankenhaus Essen, Essen, Germany
| | - Theresa Ginster
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Isabell Tenhagen
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
| | | | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Tatiana Miller
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Nils Lehmann
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Susanne Moebus
- Centre for Urban Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Dirk M Hermann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
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10
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Aksman L, Lynch K, Toga A, Dey AB, Lee J. Investigating the factors that explain white matter hyperintensity load in older Indians. Brain Commun 2023; 5:fcad008. [PMID: 36744010 PMCID: PMC9891346 DOI: 10.1093/braincomms/fcad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 11/08/2022] [Accepted: 01/13/2023] [Indexed: 01/19/2023] Open
Abstract
White matter hyperintensities are areas of hyperintense signal on MRI that typically represent cerebrovascular pathology. While focal white matter hyperintensities are common among older individuals, extensive white matter hyperintensities have been found to accelerate the progression of dementia. However, little is currently known about how various socioeconomic, health, lifestyle and environmental factors affect the severity of these lesions, particularly in low- and middle-income countries such as India. We investigated this question using cross-sectional MRI data (n = 126) from a pilot neuroimaging sub-study of an ongoing, nationally representative epidemiological study of late-life cognition in India. As a screening step, we estimated white matter hyperintensity load from fluid-attenuated inversion recovery MRI using a fully automated technique and tested for associations with each factor separately, controlling for age, sex and estimated total intracranial volume in each case. A combined model of white matter hyperintensity load included five factors which were significant after multiple comparisons correction: systolic blood pressure, body mass index, urbanicity status (urban versus rural living), daily chore hours and the frequency of store trips. This model explained an additional 27% of the variance in white matter hyperintensity load (54 versus 27% for the baseline model with only age, sex and estimated total intracranial volume). We accounted for the possibility of reverse causality by additionally controlling for concurrent markers of neurodegeneration and cognitive impairment, with no substantial change in our findings. Overall, our findings suggest that controlling high blood pressure and maintaining both a healthy body mass index and high levels of physical activity may reduce white matter hyperintensity load in older Indian adults, helping to prevent or delay dementia.
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Affiliation(s)
- Leon Aksman
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Kirsten Lynch
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Arthur Toga
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Aparajit Ballav Dey
- Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, Delhi 110029, India
| | - Jinkook Lee
- Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA 90089, USA
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11
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Silva CCV, Santos S, Muetzel RL, Vernooij MW, van Rijn BB, Jaddoe VWV, El Marroun H. Maternal Cardiovascular Health in Early Pregnancy and Childhood Brain Structure. J Am Heart Assoc 2022; 11:e026133. [PMID: 36193935 DOI: 10.1161/jaha.122.026133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Poor cardiovascular health during pregnancy has been associated with adverse neurocognitive outcomes in the offspring. We examined the associations of maternal cardiovascular health factors with brain structure in 10-year-old children. Methods and Results We included 2797 mother-offspring pairs from the Generation R Study. Maternal body mass index, gestational weight gain, blood pressure, insulin, glucose, and lipid blood concentrations were obtained in early pregnancy. Childhood structural brain measures, including global metrics of brain tissue volumes and white matter microstructure, were quantified by magnetic resonance imaging at 10 years. As compared with offspring of mothers with normal weight, those of mothers with underweight had smaller total brain volume (difference, -28.99 [95% CI -56.55 to -1.45] cm3). Similarly, as compared with offspring of mothers with gestational weight gain between the 25th and 75th percentile, those of mothers with gestational weight loss or no gestational weight gain (<25th percentile), had smaller total brain volume (difference, -13.07 [95% CI, -23.82 to -2.32] cm3). Also, higher maternal diastolic blood pressure in early pregnancy was associated with lower offspring white matter mean diffusivity (difference, -0.07 [95% CI, -0.11 to -0.02] SD score). After multiple testing correction, only the association of maternal diastolic blood pressure with lower offspring white matter mean diffusivity remained statistically significant. No associations were observed of maternal insulin, glucose, and lipid concentrations with childhood brain outcomes. Conclusions Our findings suggest that maternal cardiovascular health during pregnancy might be related to offspring brain development in the long term. Future studies are needed to replicate our findings and to explore the causal nature of the associations.
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Affiliation(s)
- Carolina C V Silva
- The Generation R Study Group, Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
- Department of Pediatrics Erasmus MC - Sophia Children's Hospital, University Medical Center Rotterdam Rotterdam The Netherlands
| | - Susana Santos
- The Generation R Study Group, Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
- Department of Pediatrics Erasmus MC - Sophia Children's Hospital, University Medical Center Rotterdam Rotterdam The Netherlands
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry/Psychology Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
| | - Bas B van Rijn
- Departments of Obstetrics and Gynecology Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands
- Department of Pediatrics Erasmus MC - Sophia Children's Hospital, University Medical Center Rotterdam Rotterdam The Netherlands
| | - Hanan El Marroun
- Department of Pediatrics Erasmus MC - Sophia Children's Hospital, University Medical Center Rotterdam Rotterdam The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands
- Department of Psychology, Education and Child Studies Erasmus University Rotterdam, Erasmus School of Social and Behavioural Science Rotterdam The Netherlands
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12
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Crockett RA, Hsu CL, Dao E, Tam R, Eng JJ, Handy TC, Liu-Ambrose T. Weight for It: Resistance Training Mitigates White Matter Hyperintensity-Related Disruption to Functional Networks in Older Females. J Alzheimers Dis 2022; 90:553-563. [DOI: 10.3233/jad-220142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: White matter hyperintensities (WMH) are associated with impaired cognition and increased falls risk. Resistance training (RT) is a promising intervention to reduce WMH progression, improve executive functions, and reduce falls. However, the underlying neurobiological process by which RT improves executive functions and falls risk remain unclear. We hypothesized that: 1) RT reduces the level of WMH-related disruption to functional networks; and 2) reduced disruption to the sensorimotor and attention networks will be associated with improved executive function and reduced falls risk. Objective: Investigate the impact of 52 weeks of RT on WMH-related disruption to functional networks. Methods: Thirty-two older females (65–75 years) were included in this exploratory analysis of a 52-week randomized controlled trial. Participants received either twice-weekly RT or balance and tone training (control). We used lesion network mapping to assess changes in WMH-related disruption to the sensorimotor, dorsal attention, and ventral attention networks. Executive function was measured using the Stroop Colour-Word Test. Falls risk was assessed using the Physiological Profile Assessment (PPA) and the foam sway test. Results: RT significantly reduced the level of WMH-related disruption to the sensorimotor network (p = 0.005). Reduced disruption to the dorsal attention network was associated with improvements in Stroop performance (r = 0.527, p = 0.030). Reduced disruption to the ventral attention network was associated with reduced PPA score (r = 0.485, p = 0.049) Conclusion: RT may be a promising intervention to mitigate WMH-related disruption to the sensorimotor network. Additionally, reducing disruption to the dorsal and ventral attention networks may contribute to improved executive function and reduced falls risk respectively.
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Affiliation(s)
- Rachel A. Crockett
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Aging, Mobility, and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Chun Liang Hsu
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA
- Harvard Medical School, Harvard University, Boston, MA, USA
| | - Elizabeth Dao
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Aging, Mobility, and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Roger Tam
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
- Department of Radiology, University of British Columbia, Vancouver, Canada
- School of Biomedical Engineering, University of British Columbia, Vancouver, Canada
| | - Janice J. Eng
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Todd C. Handy
- The Attentional Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
- Department of Psychology, University of British Columbia, Vancouver, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Aging, Mobility, and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
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13
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Effects of Higher Normal Blood Pressure on Brain Are Detectable before Middle-Age and Differ by Sex. J Clin Med 2022; 11:jcm11113127. [PMID: 35683516 PMCID: PMC9181456 DOI: 10.3390/jcm11113127] [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] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 11/21/2022] Open
Abstract
Background: To quantify the association between blood pressure (BP) across its full range, brain volumes and white matter lesions (WMLs) while investigating the effects of age, sex, body mass index (BMI), and antihypertensive medication. Methods: UK Biobank participants (n = 36,260) aged (40−70) years were included and stratified by sex and four age groups (age ≤ 45, 46−55, 56−65 and > 65 years). Multi-level regression analyses were used to assess the association between mean arterial pressure (MAP), systolic BP (SBP), diastolic BP (DBP), and brain volumes segmented using the FreeSufer software (gray matter volume [GMV], white matter volume [WMV], left [LHCV] and right hippocampal volume [RHCV]) and WMLs. Interaction effects between body mass index (BMI), antihypertensive medication and BP in predicting brain volumes and WMLs were also investigated. Results: Every 10 mmHg higher DBP was associated with lower brain volumes (GMV: −0.19%−−0.40%) [SE = 47.7−62.4]; WMV: −0.20−−0.23% [SE = 34.66−53.03]; LHCV: −0.40−−0.59% [SE = 0.44−0.57]; RHCV: −0.17−−0.57% [SE = 0.32−0.95]) across all age groups. A similar pattern was detected in both sexes, although it was weaker in men. Every 10 mmHg higher MAP was associated with larger WMLs across all age groups but peaked >65 years (1.19−1.23% [SE = 0.002]). Both lower BMI and anti-hypertensive medication appeared to afford a protective effect. Conclusion: Higher BP is associated with worse cerebral health across the full BP range from middle adulthood and into old age.
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14
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Wirth M, Gaubert M, Köbe T, Garnier-Crussard A, Lange C, Gonneaud J, de Flores R, Landeau B, de la Sayette V, Chételat G. Vascular Health Is Associated With Functional Connectivity Decline in Higher-Order Networks of Older Adults. Front Integr Neurosci 2022; 16:847824. [PMID: 35558154 PMCID: PMC9088922 DOI: 10.3389/fnint.2022.847824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 03/14/2022] [Indexed: 12/03/2022] Open
Abstract
Background Poor vascular health may impede brain functioning in older adults, thus possibly increasing the risk of cognitive decline and Alzheimer’s disease (AD). The emerging link between vascular risk factors (VRF) and longitudinal decline in resting-state functional connectivity (RSFC) within functional brain networks needs replication and further research in independent cohorts. Method We examined 95 non-demented older adults using the IMAP+ cohort (Caen, France). VRF were assessed at baseline through systolic and diastolic blood pressure, body-mass-index, and glycated hemoglobin (HbA1c) levels. Brain pathological burden was measured using white matter hyperintensity (WMH) volumes, derived from FLAIR images, and cortical β-Amyloid (Aβ) deposition, derived from florbetapir-PET imaging. RSFC was estimated from functional MRI scans within canonical brain networks at baseline and up to 3 years of follow-up. Linear mixed-effects models evaluated the independent predictive value of VRF on longitudinal changes in network-specific and global RSFC as well as a potential association between these RSFC changes and cognitive decline. Results We replicate that RSFC increased over time in global RSFC and in the default-mode, salience/ventral-attention and fronto-parietal networks. In contrast, higher diastolic blood pressure levels were independently associated with a decrease of RSFC over time in the default-mode, salience/ventral-attention, and fronto-parietal networks. Moreover, higher HbA1c levels were independently associated with a reduction of the observed RSFC increase over time in the salience/ventral-attention network. Both of these associations were independent of brain pathology related to Aβ load and WMH volumes. The VRF-related changes in RSFC over time were not significantly associated with longitudinal changes in cognitive performance. Conclusion Our longitudinal findings corroborate that VRF promote RSFC alterations over time within higher-order brain networks, irrespective of pathological brain burden. Altered RSFC in large-scale cognitive networks may eventually increase the vulnerability to aging and AD.
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Affiliation(s)
- Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- *Correspondence: Miranka Wirth,
| | - Malo Gaubert
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Theresa Köbe
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Antoine Garnier-Crussard
- Clinical and Research Memory Center of Lyon, Lyon Institute for Aging, Hospices Civils de Lyon, Lyon, France
- INSERM 1048, CNRS 5292, Neuroscience Research Centre, Lyon, France
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
| | - Catharina Lange
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- Department of Nuclear Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Julie Gonneaud
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
| | - Robin de Flores
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
| | - Brigitte Landeau
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
| | - Vincent de la Sayette
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
- Department of Neurology, CHU de Caen, Caen, France
| | - Gaël Chételat
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
- Gaël Chételat,
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15
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Yuan Y, Li N, Liu Y, Wang M, Heizhati M, Zhu Q, Yao X, Luo Q. Plasma aldosterone concentration is associated with white matter lesions in patients with primary aldosteronism. Endocrine 2022; 75:889-898. [PMID: 34780033 DOI: 10.1007/s12020-021-02920-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 10/19/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE Primary aldosteronism (PA) is the most frequent form of secondary hypertension. Hypertension is a risk factor for cognitive decline and dementia. White matter lesions (WMLs) are linked to vascular risk factors, which increase the risk of dementia. We aimed to analyze the association of PA-related parameters and WMLs in patients with PA. METHODS We conducted a retrospective analysis of all patients with PA in the Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region from January 1, 2011 to April 1, 2021. We analyzed the relationship between plasma aldosterone concentration (PAC), plasma renin activity (PRA), aldosterone-renin ratio (ARR), serum potassium, and WMLs. RESULTS We enrolled 138 patients with WMLs and matched these to controls without WMLs at a 1:4 ratio. Among the analytic sample (N = 711) with ages ranging from 30 to 64 years, 69% were male. In the logistic regression analysis, PAC, PRA and serum potassium were treated as continuous variables. The results showed that PAC (OR 1.04, 95% CI 1.01, 1.06, P = 0.008) was positively associated with the risk of WMLs, and serum potassium (OR 0.26, 95% CI 0.16, 0.44, P < 0.001) was inversely associated with the risk of WMLs. PRA (OR 0.86, 95% CI 0.68, 1.08, P = 0.384) was not associated with the risk of WMLs after adjusting for confounders. The results of restricted cubic splines showed the dose-response association between increasing PAC, ARR, decreasing serum potassium, and the risk of WMLs. We also divided PAC, ARR and serum potassium into two groups according to the result of restricted cubic splines. After adjusting for confounders, patients who were in Q2 (≥23.12 ng/dl) of PAC (OR 2.07, 95% CI 1.36, 3.15), Q2 (≥56.81 (ng/dl per ng/ml*h) of ARR (OR 1.82, 95% CI 1.22, 2.72) and Q2 (≤3.58 mmol/l) of serum potassium (OR 2.99, 95% CI 1.95, 4.50) had a significantly higher risk of WMLs than their counterparts. In stratified analyses, there was no evidence of subgroup heterogeneity regarding the change in the risk of WMLs (P > 0.05 for interaction for all). CONCLUSION Our results suggested that the PAC and serum potassium were related to the risk of WMLs in patients with PA. In particular, PAC ≥23.12 ng/dl significantly increased the risk of WMLs in patients with PA.
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Affiliation(s)
- Yujuan Yuan
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- Xinjiang Medical University, Urumqi, China
| | - Nanfang Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China.
| | - Yan Liu
- Radiography Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Menghui Wang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Mulalibieke Heizhati
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Qing Zhu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Xiaoguang Yao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Qin Luo
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
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16
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Gronewold J, Jokisch M, Schramm S, Jockwitz C, Miller T, Lehmann N, Moebus S, Jöckel KH, Erbel R, Caspers S, Hermann DM. Association of Blood Pressure, Its Treatment, and Treatment Efficacy With Volume of White Matter Hyperintensities in the Population-Based 1000BRAINS Study. Hypertension 2021; 78:1490-1501. [PMID: 34628935 DOI: 10.1161/hypertensionaha.121.18135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Janine Gronewold
- Department of Neurology, University Hospital Essen, Germany (J.G., M.J., D.M.H.)
| | - Martha Jokisch
- Department of Neurology, University Hospital Essen, Germany (J.G., M.J., D.M.H.)
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology (S.S., N.L., K.-H.J., R.E.), University Hospital Essen, University Duisburg-Essen, Germany
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine, Research Centre Jülich, Germany (C.J., T.M., S.C.).,Institute for Anatomy I, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Germany (C.J., T.M., S.C.)
| | - Tatiana Miller
- Institute of Neuroscience and Medicine, Research Centre Jülich, Germany (C.J., T.M., S.C.).,Institute for Anatomy I, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Germany (C.J., T.M., S.C.)
| | - Nils Lehmann
- Institute for Medical Informatics, Biometry and Epidemiology (S.S., N.L., K.-H.J., R.E.), University Hospital Essen, University Duisburg-Essen, Germany
| | - Susanne Moebus
- Centre for Urban Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology (S.M.), University Hospital Essen, University Duisburg-Essen, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology (S.S., N.L., K.-H.J., R.E.), University Hospital Essen, University Duisburg-Essen, Germany
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology (S.S., N.L., K.-H.J., R.E.), University Hospital Essen, University Duisburg-Essen, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine, Research Centre Jülich, Germany (C.J., T.M., S.C.).,Institute for Anatomy I, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Germany (C.J., T.M., S.C.)
| | - Dirk M Hermann
- Department of Neurology, University Hospital Essen, Germany (J.G., M.J., D.M.H.)
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17
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Gyanwali B, Cai CXT, Chen C, Vrooman H, Tan CS, Hilal S. The Effects of Mean of Visit-to-Visit Blood Pressure on Incident Brain Vascular Lesions and Functional-Cognitive Decline. J Alzheimers Dis 2021; 82:561-573. [PMID: 34057087 DOI: 10.3233/jad-210188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cerebrovascular disease (CeVD) is an underlying cause of cognitive impairment and dementia. Hypertension is a known risk factor of CeVD, but the effects of mean of visit-to-visit blood pressure (BP) on incident CeVD and functional-cognitive decline remains unclear. OBJECTIVE To determine the association between mean of visit-to-visit BP with the incidence and progression of CeVD [white matter hyperintensities (WMH), infarcts (cortical infarcts and lacunes), cerebral microbleeds (CMBs), intracranial stenosis, and hippocampal volume] as well as functional-cognitive decline over 2 years of follow-up. METHODS 373 patients from a memory-clinic underwent BP measurements at baseline, year 1, and year 2. The mean of visit-to-visit systolic BP, diastolic BP, pulse pressure, and mean arterial pressure were calculated. Baseline and year 2 MRI scans were graded for WMH, infarcts, CMBs, intracranial stenosis, and hippocampal volume. Functional-cognitive decline was assessed using locally validated protocol. Logistic and linear regression models with odds ratios, mean difference, and 95%confidence interval were constructed to analyze associations of visit-to-visit BP on CeVD incidence and progression as well as functional-cognitive decline. RESULTS Higher mean of visit-to-visit diastolic BP was associated with WMH progression. Higher tertiles of diastolic BP was associated with WMH progression and incident CMBs. There was no association between mean of visit-to-visit BP measures with incident cerebral infarcts, intracranial stenosis, change in hippocampal volume, and functional-cognitive decline. CONCLUSION These findings suggest the possibility of hypertension-related vascular brain damage. Careful monitoring and management of BP in elderly patients is essential to reduce the incidence and progression of CeVD.
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Affiliation(s)
- Bibek Gyanwali
- Department of Biochemistry, National University of Singapore, Singapore.,Memory Aging and Cognition Centre, National University Health System, Singapore
| | - Celestine Xue Ting Cai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Christopher Chen
- Memory Aging and Cognition Centre, National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore
| | - Henri Vrooman
- Departments of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Saima Hilal
- Memory Aging and Cognition Centre, National University Health System, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore
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18
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Grosu S, Lorbeer R, Hartmann F, Rospleszcz S, Bamberg F, Schlett CL, Galie F, Selder S, Auweter S, Heier M, Rathmann W, Mueller-Peltzer K, Ladwig KH, Peters A, Ertl-Wagner BB, Stoecklein S. White matter hyperintensity volume in pre-diabetes, diabetes and normoglycemia. BMJ Open Diabetes Res Care 2021; 9:9/1/e002050. [PMID: 34183320 PMCID: PMC8240582 DOI: 10.1136/bmjdrc-2020-002050] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 06/01/2021] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION As white matter hyperintensities (WMHs) of the brain are associated with an increased risk of stroke, cognitive decline, and depression, elucidating the associated risk factors is important. In addition to age and hypertension, pre-diabetes and diabetes may play important roles in the development of WMHs. Previous studies have, however, shown conflicting results. We aimed to investigate the effect of diabetes status and quantitative markers of glucose metabolism on WMH volume in a population-based cohort without prior cardiovascular disease. RESEARCH DESIGN AND METHODS 400 participants underwent 3 T MRI. WMHs were manually segmented on 3D fluid-attenuated inversion recovery images. An oral glucose tolerance test (OGTT) was administered to all participants not previously diagnosed with diabetes to assess 2-hour serum glucose concentrations. Fasting glucose concentrations and glycated hemoglobin (HbA1c) levels were measured. Zero-inflated negative binomial regression analyses of WMH volume and measures of glycemic status were performed while controlling for cardiovascular risk factors and multiple testing. RESULTS The final study population comprised 388 participants (57% male; age 56.3±9.2 years; n=98 with pre-diabetes, n=51 with diabetes). Higher WMH volume was associated with pre-diabetes (p=0.001) and diabetes (p=0.026) compared with normoglycemic control participants after adjustment for cardiovascular risk factors. 2-hour serum glucose (p<0.001), but not fasting glucose (p=0.389) or HbA1c (p=0.050), showed a significant positive association with WMH volume after adjustment for cardiovascular risk factors. CONCLUSION Our results indicate that high 2-hour serum glucose concentration in OGTT, but not fasting glucose levels, may be an independent risk factor for the development of WMHs, with the potential to inform intensified prevention strategies in individuals at risk of WMH-associated morbidity.
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Affiliation(s)
- Sergio Grosu
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Roberto Lorbeer
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Felix Hartmann
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Franziska Galie
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Sonja Selder
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Sigrid Auweter
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Katharina Mueller-Peltzer
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Karl-Heinz Ladwig
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Department of Psychosomatic Medicine and Psychotherapy, Hospital Rechts der Isar, Technical University Munich, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Birgit B Ertl-Wagner
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Sophia Stoecklein
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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19
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Associated factors of white matter hyperintensity volume: a machine-learning approach. Sci Rep 2021; 11:2325. [PMID: 33504924 PMCID: PMC7840689 DOI: 10.1038/s41598-021-81883-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 01/11/2021] [Indexed: 01/08/2023] Open
Abstract
To identify the most important parameters associated with cerebral white matter hyperintensities (WMH), in consideration of potential collinearity, we used a data-driven machine-learning approach. We analysed two independent cohorts (KORA and SHIP). WMH volumes were derived from cMRI-images (FLAIR). 90 (KORA) and 34 (SHIP) potential determinants of WMH including measures of diabetes, blood-pressure, medication-intake, sociodemographics, life-style factors, somatic/depressive-symptoms and sleep were collected. Elastic net regression was used to identify relevant predictor covariates associated with WMH volume. The ten most frequently selected variables in KORA were subsequently examined for robustness in SHIP. The final KORA sample consisted of 370 participants (58% male; age 55.7 ± 9.1 years), the SHIP sample comprised 854 participants (38% male; age 53.9 ± 9.3 years). The most often selected and highly replicable parameters associated with WMH volume were in descending order age, hypertension, components of the social environment (i.e. widowed, living alone) and prediabetes. A systematic machine-learning based analysis of two independent, population-based cohorts showed, that besides age and hypertension, prediabetes and components of the social environment might play important roles in the development of WMH. Our results enable personal risk assessment for the development of WMH and inform prevention strategies tailored to the individual patient.
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20
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Jung KH, Stephens KA, Yochim KM, Riphagen JM, Kim CM, Buckner RL, Salat DH. Heterogeneity of Cerebral White Matter Lesions and Clinical Correlates in Older Adults. Stroke 2021; 52:620-630. [PMID: 33406867 DOI: 10.1161/strokeaha.120.031641] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Cerebral white matter signal abnormalities (WMSAs) are a significant radiological marker associated with brain and vascular aging. However, understanding their clinical impact is limited because of their pathobiological heterogeneity. We determined whether use of robust reliable automated procedures can distinguish WMSA classes with different clinical consequences. METHODS Data from generally healthy participants aged >50 years with moderate or greater WMSA were selected from the Human Connectome Project-Aging (n=130). WMSAs were segmented on T1 imaging. Features extracted from WMSA included total and regional volume, number of discontinuous clusters, size of noncontiguous lesion, contrast of lesion intensity relative to surrounding normal appearing tissue using a fully automated procedure. Hierarchical clustering was used to classify individuals into distinct classes of WMSA. Radiological and clinical variability was evaluated across the individual WMSA classes. RESULTS Class I was characterized by multiple, small, lower-contrast lesions predominantly in the deep WM; class II by large, confluent lesions in the periventricular WM; and class III by higher-contrast lesions restricted to the juxtaventricular WM. Class II was associated with lower myelin content than the other 2 classes. Class II was more prevalent in older subjects and was associated with a higher prevalence of hypertension and lower physical activity levels. Poor sleep quality was associated with a greater risk of class I. CONCLUSIONS We classified heterogeneous subsets of cerebral white matter lesions into distinct classes that have different clinical risk factors. This new method for identifying classes of WMSA will be important in understanding the underlying pathophysiology and in determining the impact on clinical outcomes.
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Affiliation(s)
- Keun-Hwa Jung
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston (K.-H.J., K.A.S., K.M.Y., J.M.R., C.M.K., D.H.S.).,Department of Neurology, Seoul National University Hospital, Republic of Korea (K.-H.J.)
| | - Kimberly A Stephens
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston (K.-H.J., K.A.S., K.M.Y., J.M.R., C.M.K., D.H.S.)
| | - Kathryn M Yochim
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston (K.-H.J., K.A.S., K.M.Y., J.M.R., C.M.K., D.H.S.)
| | - Joost M Riphagen
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston (K.-H.J., K.A.S., K.M.Y., J.M.R., C.M.K., D.H.S.).,Alzheimer Center Limburg, School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Centre, the Netherlands (J.M.R.)
| | - Chan Mi Kim
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston (K.-H.J., K.A.S., K.M.Y., J.M.R., C.M.K., D.H.S.)
| | - Randy L Buckner
- Department of Psychology (R.L.B.), Harvard University, Cambridge.,Center for Brain Science (R.L.B.), Harvard University, Cambridge.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston (R.L.B.)
| | - David H Salat
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston (K.-H.J., K.A.S., K.M.Y., J.M.R., C.M.K., D.H.S.).,VA Boston Healthcare System, Neuroimaging Research for Veterans Center, MA (D.S.H.)
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21
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Yuan Y, Li N, Liu Y, Zhu Q, Heizhati M, Zhang W, Yao X, Zhang D, Luo Q, Wang M, Chang G, Cao M, Zhou K, Wang L, Hu J, Maimaiti N. Positive Association Between Plasma Aldosterone Concentration and White Matter Lesions in Patients With Hypertension. Front Endocrinol (Lausanne) 2021; 12:753074. [PMID: 34867798 PMCID: PMC8637536 DOI: 10.3389/fendo.2021.753074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/20/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND AND OBJECTIVE White matter lesions (WMLs) are imaging changes in MRI of cerebral small vessel disease associated with vascular risk factors, increasing the risk of dementia, depression, and stroke. Aldosterone (ALD) or activation of mineralocorticoid receptor (MR) causes cerebrovascular injury in a mouse model. We aimed to analyze the relationship between ALD and WMLs in a population with hypertension. METHODS We conducted a retrospective review of all patients screened for causes of secondary hypertension. We enrolled 547 patients with WMLs and matched these to controls without WMLs at a 1:1 ratio. White matter lesion load was assessed by using a modified Scheltens' scale. RESULTS Among the analytic sample (N = 1,094) with ages ranging from 30 to 64 years, 62.2% were male. We divided plasma ALD concentration (PAC), plasma renin activity (PRA), and ALD-renin ratio (ARR) into the third tertile (Q3), second tertile (Q2), and first tertile (Q1). We also analyzed them simultaneously as continuous variables. Multivariate logistic regression analysis showed that participants in Q3 (>17.26 ng/dl) of PAC (OR 1.59, 95% CI 1.15, 2.19), Q3 (<0.80 ng/dl) of PRA (OR 2.50, 95% CI 1.81, 3.44), and Q3 (>18.59 ng/dl per ng/ml*h) of ARR (OR 2.90, 95% CI 2.10, 4.01) had a significantly higher risk of WMLs than those in Q1 (<12.48) of PAC, Q1 (>2.19) of PRA, and Q1 (<6.96) of ARR. In linear regression analysis, we separately analyzed the correlation between the modified Scheltens' scale score and log(PAC) (β = 2.36; 95% CI 1.30, 3.41; p < 0.001), log(PRA) (β = -1.76; 95% CI -2.09, -1.43; p < 0.001), and log(ARR) (β = 1.86; 95% CI 1.55, 2.17; p < 0.001), which were all significantly correlated with white matter lesion load, after adjusting for confounding factors. Simple mediation analyses showed that systolic blood pressure (SBP) or diastolic blood pressure (DBP) mediated -3.83% or -2.66% of the association between PAC and white matter lesion load, respectively. In stratified analyses, there was no evidence of subgroup heterogeneity concerning the change in the risk of WMLs (p > 0.05 for interaction for all). CONCLUSION Higher PAC, especially in PAC >17.26 ng/dl, increased the risk of WMLs. PAC was positively associated with white matter lesion load independent of SBP or DBP.
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Affiliation(s)
- Yujuan Yuan
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- Xinjiang Medical University, Urumqi, China
| | - Nanfang Li
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
- *Correspondence: Nanfang Li,
| | - Yan Liu
- Radiography Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Qing Zhu
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Mulalibieke Heizhati
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Weiwei Zhang
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Xiaoguang Yao
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Deilian Zhang
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Qin Luo
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Menghui Wang
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Guijuan Chang
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Mei Cao
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Keming Zhou
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Lei Wang
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Junli Hu
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Nuerguli Maimaiti
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region “Hypertension Research Laboratory”, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
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