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Austin TR, Nasrallah IM, Erus G, Desiderio LM, Chen LY, Greenland P, Harding BN, Hughes TM, Jensen PN, Longstreth WT, Post WS, Shea SJ, Sitlani CM, Davatzikos C, Habes M, Nick Bryan R, Heckbert SR. Association of Brain Volumes and White Matter Injury With Race, Ethnicity, and Cardiovascular Risk Factors: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 2022; 11:e023159. [PMID: 35352569 PMCID: PMC9075451 DOI: 10.1161/jaha.121.023159] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 02/22/2022] [Indexed: 11/16/2022]
Abstract
Background Cardiovascular risk factors are associated with cognitive decline and dementia. Magnetic resonance imaging provides sensitive measurement of brain morphology and vascular brain injury. However, associations of risk factors with brain magnetic resonance imaging findings have largely been studied in White participants. We investigated associations of race, ethnicity, and cardiovascular risk factors with brain morphology and white matter (WM) injury in a diverse population. Methods and Results In the Multi-Ethnic Study of Atherosclerosis, measures were made in 2018 to 2019 of total brain volume, gray matter and WM volume, and WM injury, including WM hyperintensity volume and WM fractional anisotropy. We assessed cross-sectional associations of race and ethnicity and of cardiovascular risk factors with magnetic resonance imaging measures. Magnetic resonance imaging data were complete in 1036 participants; 25% Black, 15% Chinese-American, 19% Hispanic, and 41% White. Mean (SD) age was 72 (8) years and 53% were women. Although WM injury was greater in Black than in White participants in a minimally adjusted model, additional adjustment for cardiovascular risk factors and socioeconomic status each attenuated this association, rendering it nonsignificant. Overall, greater average WM hyperintensity volume was associated with older age and current smoking (69% greater vs never smoking); lower fractional anisotropy was additionally associated with higher diastolic blood pressure, use of antihypertensive medication, and diabetes. Conclusions We found no statistically significant difference in measures of WM injury by race and ethnicity after adjustment for cardiovascular risk factors and socioeconomic status. In all racial and ethnic groups, older age, current smoking, hypertension, and diabetes were strongly associated with WM injury.
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Affiliation(s)
| | | | - Guray Erus
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPA
| | | | - Lin Y. Chen
- Cardiovascular DivisionUniversity of MinnesotaMinneapolisMN
| | - Philip Greenland
- Department of Preventative Medicine and Department of MedicineFeinberg School of MedicineChicagoIL
| | | | - Timothy M. Hughes
- Department of Internal MedicineWake Forest School of MedicineWinston‐SalemNC
| | | | - WT Longstreth
- Department of EpidemiologyUniversity of WashingtonSeattleWA
- Department of NeurologyUniversity of WashingtonSeattleWA
| | - Wendy S. Post
- Division of CardiologyDepartment of MedicineJohns Hopkins UniversityBaltimoreMaryland
| | - Steven J. Shea
- Departments of Medicine and EpidemiologyColumbia UniversityNew YorkNY
| | | | | | - Mohamad Habes
- Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging CoreGlenn Biggs Institute for Alzheimer’s & Neurodegenerative DiseasesUniversity of Texas Health Science Center San AntonioTX
| | - R. Nick Bryan
- Department of Diagnostic MedicineUniversity of Texas at AustinAustinTX
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Yang F, Hu T, He K, Ying J, Cui H. Multiple Sclerosis and the Risk of Cardiovascular Diseases: A Mendelian Randomization Study. Front Immunol 2022; 13:861885. [PMID: 35371017 PMCID: PMC8964627 DOI: 10.3389/fimmu.2022.861885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 02/21/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Observational studies suggested that multiple sclerosis (MS) is associated with cardiovascular diseases (CVDs). However, the causal association has not been fully elucidated. Thus, we aim to assess the causality of the associations of MS with risk of CVDs. METHODS A two-sample Mendelian randomization (MR) study was performed to explore the causality. Genetic instruments were identified for MS from a genome-wide association study (GWAS) involving 115,803 individuals. Summary-level data for CVDs were obtained from different GWAS meta-analysis studies. MR analysis was conducted mainly using the inverse-variance weighted (IVW) method. Sensitivity analyses were further performed to ensure the robustness of the results. RESULTS This MR study found suggestive evidence that genetic liability to MS was associated with an increased risk of coronary artery disease (CAD) [odds ratio (OR), 1.02; 95% confidence interval (CI), 1.00-1.04; p = 0.03], myocardial infarction (MI) (OR, 1.03; 95% CI, 1.00-1.06; p = 0.01), heart failure (HF) (OR, 1.02; 95% CI, 1.00-1.04; p = 0.02), all-cause stroke (AS) (OR, 1.02; 95% CI, 1.00-1.05; p = 0.02), and any ischemic stroke (AIS) (OR, 1.02; 95% CI, 1.00-1.05; p = 0.04). The null-association was observed between MS and the other CVDs. Further analyses found little evidence of pleiotropy. CONCLUSIONS We provided suggestive genetic evidence for the causal associations of MS with increased risk of CAD, MI, HF, AS, and AIS, which highlighted the significance of active monitoring and prevention of cardiovascular risk to combat cardiovascular comorbidities in MS patients.
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Affiliation(s)
- Fangkun Yang
- Department of Cardiology, Ningbo Hospital of Zhejiang University (Ningbo First Hospital), School of Medicine, Zhejiang University, Ningbo, China,Department of Cardiology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Zhejiang University, Hangzhou, China,Cardiology Center, Ningbo First Hospital, Ningbo University, Ningbo, China
| | - Teng Hu
- School of Medicine, Ningbo University, Ningbo First Hospital, Ningbo, China
| | - Kewan He
- School of Medicine, Ningbo University, Ningbo First Hospital, Ningbo, China
| | - Jiajun Ying
- Department of Cardiology, Ningbo Hospital of Zhejiang University (Ningbo First Hospital), School of Medicine, Zhejiang University, Ningbo, China
| | - Hanbin Cui
- Cardiology Center, Ningbo First Hospital, Ningbo University, Ningbo, China,*Correspondence: Hanbin Cui,
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Di Chiara T, Del Cuore A, Daidone M, Scaglione S, Norrito RL, Puleo MG, Scaglione R, Pinto A, Tuttolomondo A. Pathogenetic Mechanisms of Hypertension-Brain-Induced Complications: Focus on Molecular Mediators. Int J Mol Sci 2022; 23:ijms23052445. [PMID: 35269587 PMCID: PMC8910319 DOI: 10.3390/ijms23052445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Revised: 02/03/2022] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
There is growing evidence that hypertension is the most important vascular risk factor for the development and progression of cardiovascular and cerebrovascular diseases. The brain is an early target of hypertension-induced organ damage and may manifest as stroke, subclinical cerebrovascular abnormalities and cognitive decline. The pathophysiological mechanisms of these harmful effects remain to be completely clarified. Hypertension is well known to alter the structure and function of cerebral blood vessels not only through its haemodynamics effects but also for its relationships with endothelial dysfunction, oxidative stress and inflammation. In the last several years, new possible mechanisms have been suggested to recognize the molecular basis of these pathological events. Accordingly, this review summarizes the factors involved in hypertension-induced brain complications, such as haemodynamic factors, endothelial dysfunction and oxidative stress, inflammation and intervention of innate immune system, with particular regard to the role of Toll-like receptors that have to be considered dominant components of the innate immune system. The complete definition of their prognostic role in the development and progression of hypertensive brain damage will be of great help in the identification of new markers of vascular damage and the implementation of innovative targeted therapeutic strategies.
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Suvila K, Niiranen TJ. Interrelations Between High Blood Pressure, Organ Damage, and Cardiovascular Disease: No More Room for Doubt. Hypertension 2022; 79:516-517. [PMID: 35138870 DOI: 10.1161/hypertensionaha.121.18786] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Karri Suvila
- Department of Medicine, Turku University Hospital and University of Turku, Finland (K.S., T.J.N.)
| | - Teemu J Niiranen
- Department of Medicine, Turku University Hospital and University of Turku, Finland (K.S., T.J.N.).,Department of Public Health Solutions, Finnish Institute for Health and Welfare, Turku, Finland (T.J.N.)
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Raghavan S, Przybelski SA, Reid RI, Lesnick TG, Ramanan VK, Botha H, Matchett BJ, Murray ME, Reichard RR, Knopman DS, Graff-Radford J, Jones DT, Lowe VJ, Mielke MM, Machulda MM, Petersen RC, Kantarci K, Whitwell JL, Josephs KA, Jack CR, Vemuri P. White matter damage due to vascular, tau, and TDP-43 pathologies and its relevance to cognition. Acta Neuropathol Commun 2022; 10:16. [PMID: 35123591 PMCID: PMC8817561 DOI: 10.1186/s40478-022-01319-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 01/19/2022] [Indexed: 12/27/2022] Open
Abstract
Multi-compartment modelling of white matter microstructure using Neurite Orientation Dispersion and Density Imaging (NODDI) can provide information on white matter health through neurite density index and free water measures. We hypothesized that cerebrovascular disease, Alzheimer's disease, and TDP-43 proteinopathy would be associated with distinct NODDI readouts of white matter damage which would be informative for identifying the substrate for cognitive impairment. We identified two independent cohorts with multi-shell diffusion MRI, amyloid and tau PET, and cognitive assessments: specifically, a population-based cohort of 347 elderly randomly sampled from the Olmsted county, Minnesota, population and a clinical research-based cohort of 61 amyloid positive Alzheimer's dementia participants. We observed an increase in free water and decrease in neurite density using NODDI measures in the genu of the corpus callosum associated with vascular risk factors, which we refer to as the vascular white matter component. Tau PET signal reflective of 3R/4R tau deposition was associated with worsening neurite density index in the temporal white matter where we measured parahippocampal cingulum and inferior temporal white matter bundles. Worsening temporal white matter neurite density was associated with (antemortem confirmed) FDG TDP-43 signature. Post-mortem neuropathologic data on a small subset of this sample lend support to our findings. In the community-dwelling cohort where vascular disease was more prevalent, the NODDI vascular white matter component explained variability in global cognition (partial R2 of free water and neurite density = 8.3%) and MMSE performance (8.2%) which was comparable to amyloid PET (7.4% for global cognition and 6.6% for memory). In the AD dementia cohort, tau deposition was the greatest contributor to cognitive performance (9.6%), but there was also a non-trivial contribution of the temporal white matter component (8.5%) to cognitive performance. The differences observed between the two cohorts were reflective of their distinct clinical composition. White matter microstructural damage assessed using advanced diffusion models may add significant value for distinguishing the underlying substrate (whether cerebrovascular disease versus neurodegenerative disease caused by tau deposition or TDP-43 pathology) for cognitive impairment in older adults.
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Affiliation(s)
| | - Scott A. Przybelski
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905 USA
| | - Robert I. Reid
- Department of Information Technology, Mayo Clinic, Rochester, MN 55905 USA
| | - Timothy G. Lesnick
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905 USA
| | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN 55905 USA
| | | | | | - R. Ross Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905 USA
| | | | | | - David T. Jones
- Department of Neurology, Mayo Clinic, Rochester, MN 55905 USA
| | - Val J. Lowe
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Michelle M. Mielke
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905 USA
- Department of Neurology, Mayo Clinic, Rochester, MN 55905 USA
| | - Mary M. Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905 USA
| | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Jennifer L. Whitwell
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | | | - Clifford R. Jack
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Prashanthi Vemuri
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
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Vemuri P, Decarli CS, Duering M. Imaging Markers of Vascular Brain Health: Quantification, Clinical Implications, and Future Directions. Stroke 2022; 53:416-426. [PMID: 35000423 PMCID: PMC8830603 DOI: 10.1161/strokeaha.120.032611] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Cerebrovascular disease (CVD) manifests through a broad spectrum of mechanisms that negatively impact brain and cognitive health. Oftentimes, CVD changes (excluding acute stroke) are insufficiently considered in aging and dementia studies which can lead to an incomplete picture of the etiologies contributing to the burden of cognitive impairment. Our goal with this focused review is 3-fold. First, we provide a research update on the current magnetic resonance imaging methods that can measure CVD lesions as well as early CVD-related brain injury specifically related to small vessel disease. Second, we discuss the clinical implications and relevance of these CVD imaging markers for cognitive decline, incident dementia, and disease progression in Alzheimer disease, and Alzheimer-related dementias. Finally, we present our perspective on the outlook and challenges that remain in the field. With the increased research interest in this area, we believe that reliable CVD imaging biomarkers for aging and dementia studies are on the horizon.
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Affiliation(s)
| | - Charles S. Decarli
- Departments of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, California, USA
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Switzerland
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Taylor-Bateman V, Gill D, Georgakis MK, Malik R, Munroe P, Traylor M. Cardiovascular Risk Factors and MRI Markers of Cerebral Small Vessel Disease: A Mendelian Randomization Study. Neurology 2022; 98:e343-e351. [PMID: 34845052 DOI: 10.1212/wnl.0000000000013120] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 11/19/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Cardiovascular risk factors have been implicated in the etiology of cerebral small vessel disease (CSVD); however, whether the associations are causal remains unclear in part due to the susceptibility of observational studies to reverse causation and confounding. Here, we use mendelian randomization (MR) to determine which cardiovascular risk factors are likely to be involved in the etiology of CSVD. METHODS We used data from large-scale genome-wide association studies of European ancestry to identify genetic proxies for blood pressure, blood lipids, body mass index (BMI), type 2 diabetes, smoking initiation, cigarettes per day, and alcohol consumption. MR was performed to assess their association with 3 neuroimaging features that are altered in CSVD (white matter hyperintensities [WMH], fractional anisotropy [FA], and mean diffusivity [MD]) using genetic summary data from the UK Biobank (N = 31,855). Our primary analysis used inverse-weighted median MR, with validation using weighted median, MR-Egger, and a pleiotropy-minimizing approach. Finally, multivariable MR was performed to study the effects of multiple risk factors jointly. RESULTS MR analysis showed consistent associations across all methods for higher genetically proxied systolic and diastolic blood pressures with WMH, FA, and MD and for higher genetically proxied BMI with WMH. There was weaker evidence for associations between total cholesterol, low-density lipoprotein, smoking initiation, pulse pressure, and type 2 diabetes liability and at least 1 CSVD imaging feature, but these associations were not reproducible across all validation methods used. Multivariable MR analysis for blood pressure traits found that the effect was primarily through genetically proxied diastolic blood pressure across all CSVD traits. DISCUSSION Genetic predisposition to higher blood pressure, primarily diastolic blood pressure, and to higher BMI is associated with a higher burden of CSVD, suggesting a causal role. Improved management and treatment of these risk factors could reduce the burden of CSVD.
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Affiliation(s)
- Victoria Taylor-Bateman
- From Clinical Pharmacology (V.T.-B., P.M., M.T.), William Harvey Research Institute, Queen Mary University of London; Department of Epidemiology and Biostatistics (D.P.), School of Public Health, and Department of Medicine (D.G.), Centre for Pharmacology and Therapeutics, Imperial College London; Novo Nordisk Research Centre (D.G., M.T.), Oxford; Clinical Pharmacology and Therapeutics Section (D.G.), Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St. George's, University of London; Clinical Pharmacology Group (D.G.), Pharmacy and Medicines Directorate, St. George's University Hospitals NHS Foundation Trust, London, UK; Institute for Stroke and Dementia Research (M.G., R.M.), University Hospital of Ludwig-Maximilians-University, Munich, Germany; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre (P.M.), Queen Mary University of London; The Barts Heart Centre and NIHR Barts Biomedical Research Centre-Barts Health NHS Trust (M.T.), William Harvey Research Institute, Queen Mary University London, UK; Center for Genomic Medicine (M.K.G.), Massachusetts General Hospital, Boston; and Program in Medical and Population Genetics (M.K.G.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston.
| | - Dipender Gill
- From Clinical Pharmacology (V.T.-B., P.M., M.T.), William Harvey Research Institute, Queen Mary University of London; Department of Epidemiology and Biostatistics (D.P.), School of Public Health, and Department of Medicine (D.G.), Centre for Pharmacology and Therapeutics, Imperial College London; Novo Nordisk Research Centre (D.G., M.T.), Oxford; Clinical Pharmacology and Therapeutics Section (D.G.), Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St. George's, University of London; Clinical Pharmacology Group (D.G.), Pharmacy and Medicines Directorate, St. George's University Hospitals NHS Foundation Trust, London, UK; Institute for Stroke and Dementia Research (M.G., R.M.), University Hospital of Ludwig-Maximilians-University, Munich, Germany; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre (P.M.), Queen Mary University of London; The Barts Heart Centre and NIHR Barts Biomedical Research Centre-Barts Health NHS Trust (M.T.), William Harvey Research Institute, Queen Mary University London, UK; Center for Genomic Medicine (M.K.G.), Massachusetts General Hospital, Boston; and Program in Medical and Population Genetics (M.K.G.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston
| | - Marios K Georgakis
- From Clinical Pharmacology (V.T.-B., P.M., M.T.), William Harvey Research Institute, Queen Mary University of London; Department of Epidemiology and Biostatistics (D.P.), School of Public Health, and Department of Medicine (D.G.), Centre for Pharmacology and Therapeutics, Imperial College London; Novo Nordisk Research Centre (D.G., M.T.), Oxford; Clinical Pharmacology and Therapeutics Section (D.G.), Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St. George's, University of London; Clinical Pharmacology Group (D.G.), Pharmacy and Medicines Directorate, St. George's University Hospitals NHS Foundation Trust, London, UK; Institute for Stroke and Dementia Research (M.G., R.M.), University Hospital of Ludwig-Maximilians-University, Munich, Germany; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre (P.M.), Queen Mary University of London; The Barts Heart Centre and NIHR Barts Biomedical Research Centre-Barts Health NHS Trust (M.T.), William Harvey Research Institute, Queen Mary University London, UK; Center for Genomic Medicine (M.K.G.), Massachusetts General Hospital, Boston; and Program in Medical and Population Genetics (M.K.G.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston
| | - Rainer Malik
- From Clinical Pharmacology (V.T.-B., P.M., M.T.), William Harvey Research Institute, Queen Mary University of London; Department of Epidemiology and Biostatistics (D.P.), School of Public Health, and Department of Medicine (D.G.), Centre for Pharmacology and Therapeutics, Imperial College London; Novo Nordisk Research Centre (D.G., M.T.), Oxford; Clinical Pharmacology and Therapeutics Section (D.G.), Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St. George's, University of London; Clinical Pharmacology Group (D.G.), Pharmacy and Medicines Directorate, St. George's University Hospitals NHS Foundation Trust, London, UK; Institute for Stroke and Dementia Research (M.G., R.M.), University Hospital of Ludwig-Maximilians-University, Munich, Germany; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre (P.M.), Queen Mary University of London; The Barts Heart Centre and NIHR Barts Biomedical Research Centre-Barts Health NHS Trust (M.T.), William Harvey Research Institute, Queen Mary University London, UK; Center for Genomic Medicine (M.K.G.), Massachusetts General Hospital, Boston; and Program in Medical and Population Genetics (M.K.G.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston
| | - Patricia Munroe
- From Clinical Pharmacology (V.T.-B., P.M., M.T.), William Harvey Research Institute, Queen Mary University of London; Department of Epidemiology and Biostatistics (D.P.), School of Public Health, and Department of Medicine (D.G.), Centre for Pharmacology and Therapeutics, Imperial College London; Novo Nordisk Research Centre (D.G., M.T.), Oxford; Clinical Pharmacology and Therapeutics Section (D.G.), Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St. George's, University of London; Clinical Pharmacology Group (D.G.), Pharmacy and Medicines Directorate, St. George's University Hospitals NHS Foundation Trust, London, UK; Institute for Stroke and Dementia Research (M.G., R.M.), University Hospital of Ludwig-Maximilians-University, Munich, Germany; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre (P.M.), Queen Mary University of London; The Barts Heart Centre and NIHR Barts Biomedical Research Centre-Barts Health NHS Trust (M.T.), William Harvey Research Institute, Queen Mary University London, UK; Center for Genomic Medicine (M.K.G.), Massachusetts General Hospital, Boston; and Program in Medical and Population Genetics (M.K.G.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston
| | - Matthew Traylor
- From Clinical Pharmacology (V.T.-B., P.M., M.T.), William Harvey Research Institute, Queen Mary University of London; Department of Epidemiology and Biostatistics (D.P.), School of Public Health, and Department of Medicine (D.G.), Centre for Pharmacology and Therapeutics, Imperial College London; Novo Nordisk Research Centre (D.G., M.T.), Oxford; Clinical Pharmacology and Therapeutics Section (D.G.), Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St. George's, University of London; Clinical Pharmacology Group (D.G.), Pharmacy and Medicines Directorate, St. George's University Hospitals NHS Foundation Trust, London, UK; Institute for Stroke and Dementia Research (M.G., R.M.), University Hospital of Ludwig-Maximilians-University, Munich, Germany; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre (P.M.), Queen Mary University of London; The Barts Heart Centre and NIHR Barts Biomedical Research Centre-Barts Health NHS Trust (M.T.), William Harvey Research Institute, Queen Mary University London, UK; Center for Genomic Medicine (M.K.G.), Massachusetts General Hospital, Boston; and Program in Medical and Population Genetics (M.K.G.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston
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Badji A, Pereira JB, Shams S, Skoog J, Marseglia A, Poulakis K, Rydén L, Blennow K, Zetterberg H, Kern S, Zettergren A, Wahlund LO, Girouard H, Skoog I, Westman E. Cerebrospinal Fluid Biomarkers, Brain Structural and Cognitive Performances Between Normotensive and Hypertensive Controlled, Uncontrolled and Untreated 70-Year-Old Adults. Front Aging Neurosci 2022; 13:777475. [PMID: 35095467 PMCID: PMC8791781 DOI: 10.3389/fnagi.2021.777475] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 11/30/2021] [Indexed: 11/28/2022] Open
Abstract
Background: Hypertension is an important risk factor for Alzheimer's disease (AD). The pathophysiological mechanisms underlying the relationship between AD and hypertension are not fully understood, but they most likely involve microvascular dysfunction and cerebrovascular pathology. Although previous studies have assessed the impact of hypertension on different markers of brain integrity, no study has yet provided a comprehensive comparison of cerebrospinal fluid (CSF) biomarkers and structural brain differences between normotensive and hypertensive groups in a single and large cohort of older adults in relationship to cognitive performances. Objective: The aim of the present work was to investigate the differences in cognitive performances, CSF biomarkers and magnetic resonance imaging (MRI) of brain structure between normotensive, controlled hypertensive, uncontrolled hypertensive, and untreated hypertensive older adults from the Gothenburg H70 Birth Cohort Studies. Methods: As an indicator of vascular brain pathology, we measured white matter hyperintensities (WMHs), lacunes, cerebral microbleeds, enlarged perivascular space (epvs), and fractional anisotropy (FA). To assess markers of AD pathology/neurodegeneration, we measured hippocampal volume, temporal cortical thickness on MRI, and amyloid-β42, phosphorylated tau, and neurofilament light protein (NfL) in cerebrospinal fluid. Various neuropsychological tests were used to assess performances in memory, attention/processing speed, executive function, verbal fluency, and visuospatial abilities. Results: We found more white matter pathology in hypertensive compared to normotensive participants, with the highest vascular burden in uncontrolled participants (e.g., lower FA, more WMHs, and epvs). No significant difference was found in any MRI or CSF markers of AD pathology/neurodegeneration when comparing normotensive and hypertensive participants, nor among hypertensive groups. No significant difference was found in most cognitive functions between groups. Conclusion: Our results suggest that good blood pressure control may help prevent cerebrovascular pathology. In addition, hypertension may contribute to cognitive decline through its effect on cerebrovascular pathology rather than AD-related pathology. These findings suggest that hypertension is associated with MRI markers of vascular pathology in the absence of a significant decline in cognitive functions.
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Affiliation(s)
- Atef Badji
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Joana B. Pereira
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Sara Shams
- Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Stanford Medicine, Stanford, CA, United States
| | - Johan Skoog
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Anna Marseglia
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Konstantinos Poulakis
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Lina Rydén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
- UK Dementia Research Institute at UCL, Mölndal, Sweden
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong SAR, China
| | - Silke Kern
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Anna Zettergren
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Hélène Girouard
- Department of Pharmacology and Physiology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Groupe de Recherche sur le Systéme Nerveux Central (GRSNC), Université de Montréal, Montréal, QC, Canada
- Centre Interdisciplinaire de Recherche sur le Cerveau et l’Apprentissage (CIRCA), Université de Montréal, Montréal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, QC, Canada
| | - Ingmar Skoog
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
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Topiwala A, Ebmeier KP, Maullin-Sapey T, Nichols TE. Alcohol consumption and MRI markers of brain structure and function: Cohort study of 25,378 UK Biobank participants. Neuroimage Clin 2022; 35:103066. [PMID: 35653911 PMCID: PMC9163992 DOI: 10.1016/j.nicl.2022.103066] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/25/2022] [Accepted: 05/26/2022] [Indexed: 12/15/2022]
Abstract
Moderate alcohol consumption is widespread but its impact on brain structure and function is contentious. The relationship between alcohol intake and structural and functional neuroimaging indices, the threshold intake for associations, and whether population subgroups are at higher risk of alcohol-related brain harm remain unclear. 25,378 UK Biobank participants (mean age 54.9 ± 7.4 years, 12,254 female) underwent multi-modal MRI 9.6 ± 1.1 years after study baseline. Alcohol use was self-reported at baseline (2006-10). T1-weighted, diffusion weighted and resting state images were examined. Lower total grey matter volumes were observed in those drinking as little as 7-14 units (56-112 g) weekly. Higher alcohol consumption was associated with multiple markers of white matter microstructure, including lower fractional anisotropy, higher mean and radial diffusivity in a spatially distributed pattern across the brain. Associations between functional connectivity and alcohol intake were observed in the default mode, central executive, attention, salience and visual resting state networks. Relationships between total grey matter and alcohol were stronger than other modifiable factors, including blood pressure and smoking, and robust to unobserved confounding. Frequent binging, higher blood pressure and BMI steepened the negative association between alcohol and total grey matter volume. In this large observational cohort study, alcohol consumption was associated with multiple structural and functional MRI markers in mid- to late-life.
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Affiliation(s)
- Anya Topiwala
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford OX3 7LF, UK.
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
| | - Thomas Maullin-Sapey
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford OX3 7LF, UK
| | - Thomas E Nichols
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford OX3 7LF, UK; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK
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60
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Neurocognition in Pediatric Chronic Kidney Disease: A Review of Data From the Chronic Kidney Disease in Children (CKiD) Study. Semin Nephrol 2021; 41:446-454. [PMID: 34916006 DOI: 10.1016/j.semnephrol.2021.09.007] [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: 12/28/2022]
Abstract
Pediatric chronic kidney disease (CKD) is associated with deficits in neurocognitive functioning, ranging from mild to severe, and correlated with the severity of kidney disease. Clinical variables that are associated with neurocognitive deficits include lower kidney function, hypertension, proteinuria, and metabolic acidosis. Commonly reported neurocognitive difficulties include academic underachievement and deficits in attention regulation and executive function as well as somewhat lower intellectual abilities compared with peer and normative data. Although often mild, these neurocognitive deficits may have broad implications for quality of life and likely contribute to both poorer high school graduation rates and long-term underemployment in the adult CKD population. The presence of neurocognitive deficits in predialytic CKD has been well characterized, but further longitudinal research is warranted to describe cognitive changes as children progress from early stage CKD to kidney replacement therapy. Such studies should include both cognitive and neuroimaging evaluations to better inform the impact of CKD progression on neurocognitive outcomes.
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Nuckols VR, Stroud AK, Hueser JF, Brandt DS, DuBose LE, Santillan DA, Santillan MK, Pierce GL. Twenty-Four-Hour Blood Pressure Variability Is Associated With Lower Cognitive Performance in Young Women With a Recent History of Preeclampsia. Am J Hypertens 2021; 34:1291-1299. [PMID: 34278420 DOI: 10.1093/ajh/hpab112] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/02/2021] [Accepted: 07/17/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Women with a history of preeclampsia (hxPE) exhibit sustained arterial stiffness and elevated blood pressure postpartum. Aortic stiffness and 24-hour blood pressure variability (BPV) are associated with age-related cognitive decline. Although hxPE is related to altered cognitive function, the association between aortic stiffness and BPV with cognitive performance in young women with hxPE has not been investigated. The objectives of this study were to (i) test whether cognitive performance is lower in young women with hxPE and (ii) determine whether aortic stiffness and BPV are associated with cognitive performance independent of 24-hour average blood pressure. METHODS Women with hxPE (N = 23) and healthy pregnancy controls (N = 38) were enrolled 1-3 years postpartum. Cognitive performance was assessed in domains of memory, processing speed, and executive function. Twenty-four-hour ambulatory blood pressure monitoring and carotid-femoral pulse wave velocity (cfPWV) were used to measure BPV and aortic stiffness, respectively. RESULTS Women with hxPE had slower processing speed (-0.56 ± 0.17 vs. 0.34 ± 0.11 Z-score, P < 0.001) and lower executive function (-0.43 ± 0.14 vs. 0.31 ± 0.10 Z-score, P = 0.004) compared with controls independent of education, whereas memory did not differ. BPV and cfPWV (adjusted for blood pressure) did not differ between women with hxPE and controls. Greater diastolic BPV was associated with lower executive function independent of 24-hour average blood pressure and education in women with hxPE (r = -0.48, P = 0.03) but not controls (r = 0.15, P = 0.38). CONCLUSIONS Select cognitive functions are reduced postpartum in young women with a recent hxPE and linked with elevated 24-hour diastolic BPV.
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Affiliation(s)
- Virginia R Nuckols
- Department of Health and Human Physiology, University of Iowa, Iowa City, Iowa, USA
| | - Amy K Stroud
- Department of Health and Human Physiology, University of Iowa, Iowa City, Iowa, USA
| | - Jared F Hueser
- Department of Health and Human Physiology, University of Iowa, Iowa City, Iowa, USA
| | - Debra S Brandt
- Department of Obstetrics and Gynecology, University of Iowa, Iowa City, Iowa, USA
| | - Lyndsey E DuBose
- Department of Health and Human Physiology, University of Iowa, Iowa City, Iowa, USA
| | - Donna A Santillan
- Department of Obstetrics and Gynecology, University of Iowa, Iowa City, Iowa, USA
| | - Mark K Santillan
- Department of Obstetrics and Gynecology, University of Iowa, Iowa City, Iowa, USA
- Abboud Cardiovascular Research Center, University of Iowa, Iowa City, Iowa, USA
| | - Gary L Pierce
- Department of Health and Human Physiology, University of Iowa, Iowa City, Iowa, USA
- Abboud Cardiovascular Research Center, University of Iowa, Iowa City, Iowa, USA
- Department of Internal Medicine, University of Iowa, Iowa City, Iowa, USA
- Fraternal Order of Eagles Diabetes Research Center, University of Iowa, Iowa City, Iowa, USA
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62
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Hotz I, Deschwanden PF, Mérillat S, Liem F, Kollias S, Jäncke L. Associations of subclinical cerebral small vessel disease and processing speed in non-demented subjects: A 7-year study. Neuroimage Clin 2021; 32:102884. [PMID: 34911190 PMCID: PMC8633374 DOI: 10.1016/j.nicl.2021.102884] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/26/2021] [Accepted: 11/16/2021] [Indexed: 12/22/2022]
Abstract
Markers of cerebral small vessel disease (CSVD) have previously been associated with age-related cognitive decline. Using longitudinal data of cognitively healthy, older adults (N = 216, mean age at baseline = 70.9 years), we investigated baseline status and change in white matter hyperintensities (WMH) (total, periventricular, deep), normal appearing white matter (NAWM), brain parenchyma volume (BPV) and processing speed over seven years as well as the impact of different covariates by applying latent growth curve (LGC) models. Generally, we revealed a complex pattern of associations between the different CSVD markers. More specifically, we observed that changes of deep WMH (dWMH), as compared to periventricular WMH (pWMH), were more strongly related to the changes of other CSVD markers and also to baseline processing speed performance. Further, the number of lacunes rather than their volume reflected the severity of CSVD. With respect to the studied covariates, we revealed that higher education had a protective effect on subsequent total WMH, pWMH, lacunar number, NAWM volume, and processing speed performance. The indication of antihypertensive drugs was associated with lower lacunar number and volume at baseline and the indication of antihypercholesterolemic drugs came along with higher processing speed performance at baseline. In summary, our results confirm previous findings, and extend them by providing information on true within-person changes, relationships between the different CSVD markers and brain-behavior associations. The moderate to strong associations between changes of the different CSVD markers indicate a common pathological relationship and, thus, support multidimensional treatment strategies.
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Affiliation(s)
- Isabel Hotz
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland; University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
| | - Pascal Frédéric Deschwanden
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Susan Mérillat
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Franziskus Liem
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Spyridon Kollias
- Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland
| | - Lutz Jäncke
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland; University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
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63
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Visser VL, Rusinek H, Weickenmeier J. Peak ependymal cell stretch overlaps with the onset locations of periventricular white matter lesions. Sci Rep 2021; 11:21956. [PMID: 34753951 PMCID: PMC8578319 DOI: 10.1038/s41598-021-00610-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/14/2021] [Indexed: 12/30/2022] Open
Abstract
Deep and periventricular white matter hyperintensities (dWMH/pvWMH) are bright appearing white matter tissue lesions in T2-weighted fluid attenuated inversion recovery magnetic resonance images and are frequent observations in the aging human brain. While early stages of these white matter lesions are only weakly associated with cognitive impairment, their progressive growth is a strong indicator for long-term functional decline. DWMHs are typically associated with vascular degeneration in diffuse white matter locations; for pvWMHs, however, no unifying theory exists to explain their consistent onset around the horns of the lateral ventricles. We use patient imaging data to create anatomically accurate finite element models of the lateral ventricles, white and gray matter, and cerebrospinal fluid, as well as to reconstruct their WMH volumes. We simulated the mechanical loading of the ependymal cells forming the primary brain-fluid interface, the ventricular wall, and its surrounding tissues at peak ventricular pressure during the hemodynamic cycle. We observe that both the maximum principal tissue strain and the largest ependymal cell stretch consistently localize in the anterior and posterior horns. Our simulations show that ependymal cells experience a loading state that causes the ventricular wall to be stretched thin. Moreover, we show that maximum wall loading coincides with the pvWMH locations observed in our patient scans. These results warrant further analysis of white matter pathology in the periventricular zone that includes a mechanics-driven deterioration model for the ventricular wall.
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Affiliation(s)
- Valery L Visser
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
- Department of Biomedical Engineering, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands
- Institute for Regenerative Medicine, University of Zurich, Zurich, 8006, Switzerland
| | - Henry Rusinek
- Department of Radiology, New York University Grossman School of Medicine, New York, NY, 10016, USA
| | - Johannes Weickenmeier
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA.
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64
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The link between blood pressure and Alzheimer's disease. Lancet Neurol 2021; 20:878-879. [PMID: 34687619 DOI: 10.1016/s1474-4422(21)00340-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 09/28/2021] [Indexed: 01/01/2023]
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65
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Shang X, Hill E, Zhu Z, Liu J, Ge BZ, Wang W, He M. The Association of Age at Diagnosis of Hypertension With Brain Structure and Incident Dementia in the UK Biobank. Hypertension 2021; 78:1463-1474. [PMID: 34601962 DOI: 10.1161/hypertensionaha.121.17608] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
[Figure: see text].
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Affiliation(s)
- Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (X.S., Z.Z., M.H.).,Guangdong Cardiovsacular Institute, Guangzhou, China (X.S., Z.Z.)
| | - Edward Hill
- Department of Medicine (Royal Melbourne Hospital) (E.H.), University of Melbourne, VIC, Australia.,Wicking Dementia Research and Education Centre, University of Tasmania, Australia (E.H.)
| | - Zhuoting Zhu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (X.S., Z.Z., M.H.).,Guangdong Cardiovsacular Institute, Guangzhou, China (X.S., Z.Z.)
| | - Jiahao Liu
- Melbourne School of Population and Global Health (J.L.), University of Melbourne, VIC, Australia
| | - B Zongyuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne, VIC, Australia (Z.G.)
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China (W.W., M.H.)
| | - Mingguang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China (X.S., Z.Z., M.H.).,State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China (W.W., M.H.).,Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia (M.H.)
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66
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A pilot [ 11C]PBR28 PET/MRI study of neuroinflammation and neurodegeneration in chronic stroke patients. Brain Behav Immun Health 2021; 17:100336. [PMID: 34589819 PMCID: PMC8474408 DOI: 10.1016/j.bbih.2021.100336] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/18/2021] [Accepted: 08/21/2021] [Indexed: 11/24/2022] Open
Abstract
Neuroinflammation occurs in response to acute ischemic stroke, and has been speculated to underlie secondary poststroke pathologies, such as depression, that often develop over time poststroke. However, no study has examined whether neuroinflammation is present in chronic stroke patients (e.g., ≥ 1 year poststroke). This study tested whether neuroinflammation is present in chronic stroke patients, and is associated with neurodegeneration, using [11C]PBR28 PET and diffusion MRI. Eight patients with middle cerebral artery (MCA) ischemic stroke incurred 1–3 years prior and 16 healthy controls underwent [11C]PBR28 PET to measure glial activation and diffusion MRI to measure microstructural integrity by mean diffusivity (MD) and fractional anisotropy (FA) using an integrated PET/MRI scanner. Group differences in [11C]PBR28 binding, MD and FA were analyzed voxelwise across the whole brain excluding the infarct zone defined as voxels containing the infarct in any patient. Compared to controls, patients showed elevations in [11C]PBR28 binding in several brain regions outside the infarct zone, including regions with presumed direct neuroanatomical connections to the infarct (e.g., ipsilesional internal capsule and thalamus) and those without known direct connections (e.g., contralesional thalamus and cingulate gyrus). Patients also showed widespread elevations in MD, with a subset of these regions having reduced FA. In patients, MD was more elevated in regions with co-localized elevations in [11C]PBR28 binding than in contralateral regions without elevations in [11C]PBR28 binding. This pilot study supports the presence of extensive glial activation along with widespread loss in microstructural integrity in non-infarcted tissue in a cohort of patients with chronic MCA stroke. The loss in microstructural integrity was greater in regions with co-localized glial activation. It is possible that stroke risk factors (e.g., hypertension) contributed to these tissue changes in patients. Chronic neuroinflammation speculated to underlie secondary poststroke pathologies such as depression. Measured neuroinflammation in chronic stroke patients using [11C]PBR28 PET. First study showing extensive neuroinflammation in non-infarcted tissue in chronic stroke patients.
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67
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Ingo C, Kurian S, Higgins J, Mahinrad S, Jenkins L, Gorelick P, Lloyd-Jones D, Sorond F. Vascular health and diffusion properties of normal appearing white matter in midlife. Brain Commun 2021; 3:fcab080. [PMID: 34494002 DOI: 10.1093/braincomms/fcab080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2021] [Indexed: 01/20/2023] Open
Abstract
In this study, we perform a region of interest diffusion tensor imaging and advanced diffusion complexity analysis of normal appearing white matter to determine the impact of vascular health on these diffusivity metrics in midlife adults. 77 participants (26 black, 35 female) at year 30 visit in the Coronary Artery Risk Development in Young Adults longitudinal study were scanned with an advanced diffusion-weighted imaging and fluid-attenuated inversion recovery protocol. Fractional anisotropy and non-linear diffusion complexity measures were estimated. Cumulative measures across 30 years (9 study visits) of systolic blood pressure, body mass index, glucose, smoking and cholesterol were calculated as the area under the curve from baseline up to year 30 examination. Partial correlation analyses assessed the association between cumulative vascular health measures and normal appearing white matter diffusion metrics in these participants. Midlife normal appearing white matter diffusion properties were significantly associated (P < 0.05) with cumulative exposure to vascular risk factors from young adulthood over the 30-year time period. Higher cumulative systolic blood pressure exposure was associated with increased complexity and decreased fractional anisotropy. Higher cumulative body mass index exposure was associated with decreased fractional anisotropy. Additionally, in the normal appearing white matter of black participants (P < 0.05), who exhibited a higher cumulative vascular risk exposure, fractional anisotropy was lower and complexity was higher in comparison to normal appearing white matter in white participants. Higher burden of vascular risk factor exposure from young adulthood to midlife is associated with changes in the diffusion properties of normal appearing white matter in midlife. These changes which may reflect axonal disruption, increased inflammation and/or increased glial proliferation, were primarily observed in both anterior and posterior normal appearing white matter regions of the corpus callosum. These results suggest that microstructural changes in normal appearing white matter are sensitive to vascular health during young adulthood and are possibly therapeutic targets in interventions focused on preserving white matter health across life.
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Affiliation(s)
- Carson Ingo
- Department of Neurology, Northwestern University, Chicago, IL, USA.,Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
| | - Shawn Kurian
- Department of Neurology, Northwestern University, Chicago, IL, USA
| | - James Higgins
- Department of Radiology, Northwestern University, Chicago, IL, USA
| | - Simin Mahinrad
- Department of Neurology, Northwestern University, Chicago, IL, USA
| | - Lisanne Jenkins
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - Philip Gorelick
- Department of Neurology, Northwestern University, Chicago, IL, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Farzaneh Sorond
- Department of Neurology, Northwestern University, Chicago, IL, USA
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68
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Hoagey DA, Lazarus LTT, Rodrigue KM, Kennedy KM. The effect of vascular health factors on white matter microstructure mediates age-related differences in executive function performance. Cortex 2021; 141:403-420. [PMID: 34130048 PMCID: PMC8319097 DOI: 10.1016/j.cortex.2021.04.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 12/11/2020] [Accepted: 04/08/2021] [Indexed: 01/03/2023]
Abstract
Even within healthy aging, vascular risk factors can detrimentally influence cognition, with executive functions (EF) particularly vulnerable. Fronto-parietal white matter (WM) connectivity in part, supports EF and may be particularly sensitive to vascular risk. Here, we utilized structural equation modeling in 184 healthy adults (aged 20-94 years of age) to test the hypotheses that: 1) fronto-parietal WM microstructure mediates age effects on EF; 2) higher blood pressure (BP) and white matter hyperintensity (WMH) burden influences this association. All participants underwent comprehensive cognitive and neuropsychological testing including tests of processing speed, executive function (with a focus on tasks that require switching and inhibition) and completed an MRI scanning session that included FLAIR imaging for semi-automated quantification of white matter hyperintensity burden and diffusion-weighted imaging for tractography. Structural equation models were specified with age (as a continuous variable) and blood pressure predicting within-tract WMH burden and fractional anisotropy predicting executive function and processing speed. Results indicated that fronto-parietal white matter of the genu of the corpus collosum, superior longitudinal fasciculus, and the inferior frontal occipital fasciculus (but not cortico-spinal tract) mediated the association between age and EF. Additionally, increased systolic blood pressure and white matter hyperintensity burden within these white matter tracts contribute to worsening white matter health and are important factors underlying age-brain-behavior associations. These findings suggest that aging brings about increases in both BP and WMH burden, which may be involved in the degradation of white matter connectivity and in turn, negatively impact executive functions as we age.
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Affiliation(s)
- David A Hoagey
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA
| | - Linh T T Lazarus
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Karen M Rodrigue
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA
| | - Kristen M Kennedy
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA.
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69
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Blood Pressure Profiles and Cognitive Function from Adulthood to Old Age: Chasing a Golden Middle Way? J Clin Med 2021; 10:jcm10153243. [PMID: 34362026 PMCID: PMC8347724 DOI: 10.3390/jcm10153243] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/17/2021] [Accepted: 07/21/2021] [Indexed: 12/17/2022] Open
Abstract
With the demographic shift toward advanced ages, it is imperative to understand the biological mechanisms behind common, disabling age-related diseases such as cognitive impairment in its mild form to overt dementia. Hypertension, a major cardiovascular risk factor, is epidemiologically linked to vascular and Alzheimer-type dementia, with possible mechanisms being atherosclerotic macro- and microvascular damage leading to neuronal cell death, as well as proinflammatory events responsible for neurodegeneration. Nevertheless, there is currently a knowledge gap as to which population to target, what the diagnostics test, and how to manage early pathogenic events in order to prevent such a dramatic and disabling condition. While clinical trials data support the benefit of active BP control with antihypertensive medications on the risk of future cognitive impairment, hypotension appears to be related to accelerated cognitive decline in both the fit and the cognitively frail elderly. Dedicated, technologically advanced studies assessing the relation of BP with dementia are needed to clarify the pathophysiological mechanisms in the association before a tailored preventive, diagnostic, and therapeutic approach to one of the most widespread modern medical challenges becomes a reality.
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70
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Zhou Y, Huang J, Zhang P, Tong J, Fan F, Gou M, Cui Y, Luo X, Tan S, Wang Z, Feng W, Yang F, Tian B, Tian L, Savransky A, Hare S, Ryan MC, Goldwaser E, Chiappelli J, Chen S, Kochunov P, Kvarta M, Tan Y, Hong LE. Allostatic Load Effects on Cortical and Cognitive Deficits in Essentially Normotensive, Normoweight Patients with Schizophrenia. Schizophr Bull 2021; 47:1048-1057. [PMID: 33501486 PMCID: PMC8266595 DOI: 10.1093/schbul/sbaa196] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Reduced cortical gray matter integrity and cognitive abilities are among core deficits in schizophrenia. We hypothesized that higher allostatic load (AL) that accounts for exposure to chronic stress is a contributor to structural and cognitive deficits in schizophrenia. One hundred and sixty-seven schizophrenia patients who were on average with normal weight, normal systolic, and diastolic blood pressure and 72 healthy controls were enrolled in the study. Group differences in subclinical cardiovascular, metabolic, immune, and neuroendocrine biological markers as indexed by AL and contribution of AL components to the structural and cognitive deficits in schizophrenia were explored. Compared with controls, schizophrenia patients who were normotensive, normoweight, and had low total cholesterol levels still had significantly higher AL mainly due to lower high-density lipoprotein cholesterol and higher heart rate, waist-hip ratio, hemoglobinA1c, hypersensitive C-reactive protein, and overnight-urine cortisol levels. Patients also had decreased whole-brain mean cortical thickness, and lower cognition assessed by the MATRICS consensus cognitive battery. AL was inversely correlated with mean cortical thickness and cognition in schizophrenia, while none of these relationships existed in controls. Mediation analyses showed the effect of AL on cognitive deficits in schizophrenia was significantly mediated by cortical thinning, and the most significant mediating cortical area was the left superior frontal gyrus. Cortical thickness may act as a mediator between AL and cognitive deficits in schizophrenia. Early intervention strategies to reduce cortical thinning and cognitive dysfunction in schizophrenia should target specific aspects of their high AL in addition to weight gain, hypertension and high cholesterol levels.
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Affiliation(s)
- Yanfang Zhou
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Junchao Huang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Ping Zhang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Jinghui Tong
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Fengmei Fan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Mengzhuang Gou
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Yimin Cui
- Department of Pharmacy, Peking University First Hospital, Beijing, P.R. China
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Shuping Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Zhiren Wang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Wei Feng
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Fude Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Baopeng Tian
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - Li Tian
- Institute of Biomedicine and Translational Medicine, Department of Physiology, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Anya Savransky
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Stephanie Hare
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Meghann C Ryan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Eric Goldwaser
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Joshua Chiappelli
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Mark Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Yunlong Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P.R. China
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
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71
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Suzuki H, Davis-Plourde K, Beiser A, Kunimura A, Miura K, DeCarli C, Maillard P, Mitchell GF, Vasan RS, Seshadri S, Fujiyoshi A. Coronary Artery Calcium Assessed Years Before Was Positively Associated With Subtle White Matter Injury of the Brain in Asymptomatic Middle-Aged Men: The Framingham Heart Study. Circ Cardiovasc Imaging 2021; 14:e011753. [PMID: 34256573 PMCID: PMC8323993 DOI: 10.1161/circimaging.120.011753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Using magnetic resonance diffusion tensor imaging, we previously showed a cross-sectional association between carotid-femoral pulse wave velocity, a measure of aortic stiffness, and subtle white matter injury in clinically asymptomatic middle-age adults. While coronary artery calcium (CAC) is a robust measure of atherosclerosis, and a predictor of stroke and dementia, whether it predicts diffusion tensor imaging-based subtle white matter injury in the brain remains unknown. METHODS In FHS (Framingham Heart Study), an observational study, third-generation participants were assessed for CAC (2002-2005) and brain magnetic resonance imaging (2009-2014). Outcomes were diffusion tensor imaging-based measures; free water, fractional anisotropy, and peak width of mean diffusivity. After excluding the participants with neurological conditions and missing covariates, we categorized participants into 3 groups according to CAC score (0, 0 < to 100, and >100) and calculated a linear trend across the CAC groups. In secondary analyses treating CAC score as continuous, we computed slope of the outcomes per 20 to 80th percentiles higher log-transformed CAC score using linear regression. RESULTS In a total of 1052 individuals analyzed (mean age 45.4 years, 45.4% women), 71.6%, 22.4%, and 6.0% had CAC score of 0, 0 < to 100, and >100, respectively. We observed a significant linear trend of fractional anisotropy, but not other measures, across the CAC groups after multivariable adjustment. In the secondary analyses, CAC was associated with lower fractional anisotropy in men but not in women. CONCLUSIONS CAC may be a promising tool to predict prevalent subtle white matter injury of the brain in asymptomatic middle-aged men.
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Affiliation(s)
- Harumitsu Suzuki
- Department of Hygiene, Wakayama Medical University, Wakayama, Japan
| | - Kendra Davis-Plourde
- The Framingham Heart Study, Framingham, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Massachusetts
| | - Alexa Beiser
- The Framingham Heart Study, Framingham, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | | | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- NCD Epidemiology Research Center, Shiga, Japan
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California Davis, Davis, California
| | - Pauline Maillard
- Department of Neurology and Center for Neuroscience, University of California Davis, Davis, California
| | | | - Ramachandran S. Vasan
- The Framingham Heart Study, Framingham, Massachusetts
- Section of Cardiovascular Medicine, Boston University School of Medicine, Massachusetts
- Sections of Preventive Medicine and Epidemiology, Boston University School of Medicine, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Massachusetts
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio
| | - Akira Fujiyoshi
- Department of Hygiene, Wakayama Medical University, Wakayama, Japan
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72
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Fletcher E, DeCarli C, Fan AP, Knaack A. Convolutional Neural Net Learning Can Achieve Production-Level Brain Segmentation in Structural Magnetic Resonance Imaging. Front Neurosci 2021; 15:683426. [PMID: 34234642 PMCID: PMC8255694 DOI: 10.3389/fnins.2021.683426] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 05/27/2021] [Indexed: 01/18/2023] Open
Abstract
Deep learning implementations using convolutional neural nets have recently demonstrated promise in many areas of medical imaging. In this article we lay out the methods by which we have achieved consistently high quality, high throughput computation of intra-cranial segmentation from whole head magnetic resonance images, an essential but typically time-consuming bottleneck for brain image analysis. We refer to this output as “production-level” because it is suitable for routine use in processing pipelines. Training and testing with an extremely large archive of structural images, our segmentation algorithm performs uniformly well over a wide variety of separate national imaging cohorts, giving Dice metric scores exceeding those of other recent deep learning brain extractions. We describe the components involved to achieve this performance, including size, variety and quality of ground truth, and appropriate neural net architecture. We demonstrate the crucial role of appropriately large and varied datasets, suggesting a less prominent role for algorithm development beyond a threshold of capability.
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Affiliation(s)
- Evan Fletcher
- Department of Neurology, University of California, Davis, Davis, CA, United States
| | - Charles DeCarli
- Department of Neurology, University of California, Davis, Davis, CA, United States
| | - Audrey P Fan
- Department of Neurology, University of California, Davis, Davis, CA, United States.,Department of Biomedical Engineering, University of California, Davis, Davis, CA, United States
| | - Alexander Knaack
- Department of Neurology, University of California, Davis, Davis, CA, United States
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73
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Blöchl M, Schaare HL, Kunzmann U, Nestler S. The Age-Dependent Association Between Vascular Risk Factors and Depressed Mood. J Gerontol B Psychol Sci Soc Sci 2021; 77:284-294. [PMID: 34080633 DOI: 10.1093/geronb/gbab063] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES Cumulative burden of vascular risk factors (VRFs) has been linked to an increased risk of depressed mood. However, the role of age in this association is still unclear. Here, we investigated whether VRF burden is associated with levels and changes in depressed mood and whether these associations become stronger or weaker from mid- to later life. METHOD We used longitudinal data from 5,689 participants (52-89 years) of the English Longitudinal Study of Ageing. A composite score incorporated the presence of 5 VRFs: hypertension, diabetes, smoking, obesity, and hypercholesterolemia. Second-order latent growth models were used to test whether levels and changes of depressed mood differed as a function of baseline VRF burden, and whether these associations were moderated by age. RESULTS Baseline VRF burden showed a small association with higher levels of depressed mood (estimate = 0.081; 95% CI: 0.024, 0.138, p = .005). This association varied with age, such that it was stronger in midlife compared to later life (estimate = -0.007; 95% CI: -0.013, -0.002, p = .017). There was no evidence that VRF burden was associated with changes in depressed mood. DISCUSSION Our findings suggest that VRF burden in midlife, but less so in later life, predicts individual differences in depressed mood. These findings are consistent with reports on the importance of midlife VRFs and support the idea that promotion of vascular health in this age group or earlier in life may be critical to maintain mental health across adulthood.
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Affiliation(s)
- Maria Blöchl
- Department of Psychology, University of Münster, Germany
- Department for Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - H Lina Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Germany
| | - Ute Kunzmann
- Department of Psychology, Leipzig University, Germany
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74
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Johansen MC, Gottesman RF, Kral BG, Vaidya D, Yanek LR, Becker LC, Becker DM, Nyquist P. Association of Coronary Artery Atherosclerosis With Brain White Matter Hyperintensity. Stroke 2021; 52:2594-2600. [PMID: 34000829 DOI: 10.1161/strokeaha.120.032674] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [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)
- Michelle C Johansen
- Department of Neurology (M.C.J., R.F.G., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Rebecca F Gottesman
- Department of Neurology (M.C.J., R.F.G., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Brian G Kral
- Department of Medicine, Division of Cardiology (B.G.K., L.C.B.), Johns Hopkins University School of Medicine, Baltimore, MD.,Department of Medicine, Division of General Internal Medicine, GeneSTAR Research Program (B.G.K., D.V., L.R.Y., L.C.B., D.M.B., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Dhananjay Vaidya
- Department of Medicine, Division of General Internal Medicine, GeneSTAR Research Program (B.G.K., D.V., L.R.Y., L.C.B., D.M.B., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lisa R Yanek
- Department of Medicine, Division of General Internal Medicine, GeneSTAR Research Program (B.G.K., D.V., L.R.Y., L.C.B., D.M.B., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lewis C Becker
- Department of Medicine, Division of Cardiology (B.G.K., L.C.B.), Johns Hopkins University School of Medicine, Baltimore, MD.,Department of Medicine, Division of General Internal Medicine, GeneSTAR Research Program (B.G.K., D.V., L.R.Y., L.C.B., D.M.B., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Diane M Becker
- Department of Medicine, Division of General Internal Medicine, GeneSTAR Research Program (B.G.K., D.V., L.R.Y., L.C.B., D.M.B., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Paul Nyquist
- Department of Neurology (M.C.J., R.F.G., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD.,Department of Medicine, Division of General Internal Medicine, GeneSTAR Research Program (B.G.K., D.V., L.R.Y., L.C.B., D.M.B., P.N.), Johns Hopkins University School of Medicine, Baltimore, MD
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75
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Toschi N, Passamonti L, Bellesi M. Sleep quality relates to emotional reactivity via intracortical myelination. Sleep 2021; 44:5889980. [PMID: 32770244 PMCID: PMC7819832 DOI: 10.1093/sleep/zsaa146] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 07/13/2020] [Indexed: 01/10/2023] Open
Abstract
A good quality and amount of sleep are fundamental to preserve cognition and affect. New evidence also indicates that poor sleep is detrimental to brain myelination. In this study, we test the hypothesis that sleep quality and/or quantity relate to variability in cognitive and emotional function via the mediating effect of interindividual differences in proxy neuroimaging measures of white matter integrity and intracortical myelination. By employing a demographically and neuropsychologically well-characterized sample of healthy people drawn from the Human Connectome Project (n = 974), we found that quality and amount of sleep were only marginally linked to cognitive performance. In contrast, poor quality and short sleep increased negative affect (i.e. anger, fear, and perceived stress) and reduced life satisfaction and positive emotionality. At the brain level, poorer sleep quality and shorter sleep duration related to lower intracortical myelin in the mid-posterior cingulate cortex (p = 0.038), middle temporal cortex (p = 0.024), and anterior orbitofrontal cortex (OFC, p = 0.034) but did not significantly affect different measures of white matter integrity. Finally, lower intracortical myelin in the OFC mediated the association between poor sleep quality and negative emotionality (p < 0.05). We conclude that intracortical myelination is an important mediator of the negative consequences of poor sleep on affective behavior.
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Affiliation(s)
- Nicola Toschi
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Luca Passamonti
- Consiglio Nazionale delle Ricerche (CNR), Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), Milan, Italy.,Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.,IRCCS San Camillo Hospital, Venice, Italy
| | - Michele Bellesi
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK
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76
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Li J, Zhang Q, Che Y, Zhang N, Guo L. Iron Deposition Characteristics of Deep Gray Matter in Elderly Individuals in the Community Revealed by Quantitative Susceptibility Mapping and Multiple Factor Analysis. Front Aging Neurosci 2021; 13:611891. [PMID: 33935681 PMCID: PMC8079745 DOI: 10.3389/fnagi.2021.611891] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 03/15/2021] [Indexed: 12/23/2022] Open
Abstract
Purpose The objective of this study was to determine which factors influence brain iron concentrations in deep gray matter in elderly individuals and how these factors influence regional brain iron concentrations. Methods A total of 105 elderly individuals were enrolled in this study. All participants underwent detailed magnetic resonance imaging (MRI) examinations from October 2018 to August 2019. Among them, 44 individuals had undergone a previous MRI examination from July 2010 to August 2011. Quantitative susceptibility mapping (QSM) was utilized as an indirect quantitative marker of brain iron, and the susceptibility values of deep gray matter structures were obtained. Univariate analysis and multiple linear regression analysis were used to investigate 11 possible determinants for cerebral iron deposition. Results Our results showed no sex- or hemisphere-related differences in susceptibility values in any of the regions studied. Aging was significantly correlated with increased insusceptibility values in almost all analyzed brain regions (except for the thalamus) when we compared the susceptibility values at the two time points. In a cross-sectional analysis, the relationship between gray matter nucleus susceptibility values and age was conducted using Pearson’s linear regression. Aging was significantly correlated with the susceptibility values of the globus pallidus (GP), putamen (Put), and caudate nucleus (CN), with the Put having the strongest correlations. In multiple linear regression models, associations with increased susceptibility values were found in the CN, Put, red nucleus, and dentate nucleus for individuals with a history of type 2 diabetes mellitus (T2DM). However, the patients with hypertension showed significantly reduced susceptibility values in the red nucleus and dentate nucleus. Our data suggested that smokers had increased susceptibility values in the thalamus. No significant associations were found for individuals with a history of hypercholesterolemia and Apolipoprotein E4 carrier status. Conclusion Our data revealed that aging, T2DM, and smoking could increase iron deposition in some deep gray matter structures. However, hypertension had the opposite effects in the red nuclei and dentate nuclei. Brain iron metabolism could be influenced by many factors in different modes. In future studies, we should strictly control for confounding factors.
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Affiliation(s)
- Jing Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Qihao Zhang
- Department of Radiology, Weill Cornell Medical College, Cornell University, New York City, NY, United States
| | - Yena Che
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Nan Zhang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Lingfei Guo
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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77
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Caprihan A, Raja R, Hillmer LJ, Erhardt EB, Prestopnik J, Thompson J, Adair JC, Knoefel JE, Rosenberg GA. A double-dichotomy clustering of dual pathology dementia patients. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2021; 2:100011. [PMID: 34746872 PMCID: PMC8570532 DOI: 10.1016/j.cccb.2021.100011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 03/22/2021] [Accepted: 03/27/2021] [Indexed: 12/02/2022]
Abstract
INTRODUCTION Subcortical ischemic vascular disease (SIVD) and Alzheimer's disease (AD) related dementia can coexist in older subjects, leading to mixed dementia (MX). Identification of dementia sub-groups is important for designing proper treatment plans and clinical trials. METHOD An Alzheimer's disease severity (ADS) score and a vascular disease severity (VDS) score are calculated from CSF and MRI biomarkers, respectively. These scores, being sensitive to different Alzheimer's and vascular disease processes are combined orthogonally in a double-dichotomy plot. This formed an objective basis for clustering the subjects into four groups, consisting of AD, SIVD, MX and leukoaraiosis (LA). The relationship of these four groups is examined with respect to cognitive assessments and clinical diagnosis. RESULTS Cluster analysis had at least 83% agreement with the clinical diagnosis for groups based either on Alzheimer's or on vascular sensitive biomarkers, and a combined agreement of 68.8% for clustering the four groups. The VDS score was correlated to executive function (r = -0.28, p < 0.01) and the ADS score to memory function (r = -0.35, p < 0.002) after adjusting for age, sex, and education. In the subset of patients for which the cluster scores and clinical diagnoses agreed, the correlations were stronger (VDS score-executive function: r = -0.37, p < 0.006 and ADS score-memory function: r = -0.58, p < 0.0001). CONCLUSIONS The double-dichotomy clustering based on imaging and fluid biomarkers offers an unbiased method for identifying mixed dementia patients and selecting better defined sub-groups. Differential correlations with neuropsychological tests support the hypothesis that the categories of dementia represent different etiologies.
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Affiliation(s)
| | - Rajikha Raja
- The Mind Research Network, Albuquerque, NM, United States
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Laura J. Hillmer
- Department of Neurology, University of New Mexico, Albuquerque, NM, United States
| | - Erik Barry Erhardt
- Departments of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, United States
| | - Jill Prestopnik
- Department of Neurology, University of New Mexico, Albuquerque, NM, United States
| | - Jeffrey Thompson
- Department of Neurology, University of New Mexico, Albuquerque, NM, United States
| | - John C Adair
- Department of Neurology, University of New Mexico, Albuquerque, NM, United States
| | - Janice E. Knoefel
- Department of Neurology, University of New Mexico, Albuquerque, NM, United States
| | - Gary A. Rosenberg
- Department of Neurology, University of New Mexico, Albuquerque, NM, United States
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78
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Lapidaire W, Clark C, Fewtrell MS, Lucas A, Leeson P, Lewandowski AJ. The Preterm Heart-Brain Axis in Young Adulthood: The Impact of Birth History and Modifiable Risk Factors. J Clin Med 2021; 10:jcm10061285. [PMID: 33808886 PMCID: PMC8003804 DOI: 10.3390/jcm10061285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/11/2021] [Accepted: 03/16/2021] [Indexed: 11/20/2022] Open
Abstract
People born preterm are at risk of developing both cardiac and brain abnormalities. We aimed to investigate whether cardiovascular physiology may directly affect brain structure in young adulthood and whether cardiac changes are associated with modifiable biomarkers. Forty-eight people born preterm, followed since birth, underwent cardiac MRI at age 25.1 ± 1.4 years and brain MRI at age 33.4 ± 1.0 years. Term born controls were recruited at both time points for comparison. Cardiac left and right ventricular stroke volume, left and right ventricular end diastolic volume and right ventricular ejection fraction were significantly different between preterm and term born controls and associated with subcortical brain volumes and fractional anisotropy in the corpus callosum in the preterm group. This suggests that cardiovascular abnormalities in young adults born preterm are associated with potentially adverse future brain health. Associations between left ventricular stroke volume indexed to body surface area and right putamen volumes, as well as left ventricular end diastolic length and left thalamus volumes, remained significant when adjusting for early life factors related to prematurity. Although no significant associations were found between modifiable biomarkers and cardiac physiology, this highlights that cardiovascular health interventions may also be important for brain health in preterm born adults.
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Affiliation(s)
- Winok Lapidaire
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, UK
- UCL GOS Institute of Child Health, University College London, London WC1N 1EH, UK
| | - Chris Clark
- UCL GOS Institute of Child Health, University College London, London WC1N 1EH, UK
| | - Mary S Fewtrell
- UCL GOS Institute of Child Health, University College London, London WC1N 1EH, UK
| | - Alan Lucas
- UCL GOS Institute of Child Health, University College London, London WC1N 1EH, UK
| | - Paul Leeson
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, UK
| | - Adam J Lewandowski
- Oxford Cardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, UK
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79
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Additive and Synergistic Cardiovascular Disease Risk Factors and HIV Disease Markers' Effects on White Matter Microstructure in Virally Suppressed HIV. J Acquir Immune Defic Syndr 2021; 84:543-551. [PMID: 32692114 DOI: 10.1097/qai.0000000000002390] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND It is unclear whether intermediate to high cardiovascular disease (CVD) risk and HIV disease status may have additive (ie, independent statistical effects concomitantly tested) or synergistic effects on white matter microstructure and cognition in virally suppressed HIV-infected (HIV+) men relative to sex and age-matched controls. SETTING Tertiary health care observational cohort. METHODS Eighty-two HIV+ men (mean age 55 ± 6 years, 10%-30% on various CVD drugs; 20% with previous CVD) and 40 HIV-uninfected (HIV-) men (none with previous CVD; 10%-20% on various CVD drugs) underwent diffusion tensor imaging and neuropsychological testing. A standard classification of intermediate to high CVD risk (CVD+ group) was based on the Framingham score ≥15% cutoff and/or a history of CVD. Fractional anisotropy (FA) and mean diffusivity (MD) were quantified in 11 white matter tracts. RESULTS Within the HIV- group, the CVD+ group had lower FA (P = 0.03) and higher MD (P = 0.003) in the corona radiata and higher MD in the corpus callosum (P = 0.02) and superior fasciculi (P = 0.03) than the CVD- group. Within the HIV+ group, the CVD+ group had lower FA in the superior fasciculi (P = 0.04) and higher MD in the uncinate fasciculus (P = 0.04), and lower FA (P = 0.01) and higher MD (P = 0.03) in the fornix than the CVD- group. The fornix alterations were also abnormal compared with the HIV- groups. The HIV+ CVD+ was more likely to have HIV-associated dementia. Older age, antihypertensive use, longer HIV duration, and higher C-reactive protein associated with lower FA and higher MD. Higher blood CD4 lymphocyte count and CD4/CD8 ratio associated with higher FA and lower MD. CONCLUSIONS In virally suppressed HIV, CVD risk factors have a mostly additive contribution to white matter microstructural alterations, leading to a different distribution of injury in HIV- and HIV+ persons with CVD. There was also evidence of a synergistic effect of CVD and HIV factors on the fornix white matter injury.
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80
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Suvila K, Lima JA, Yano Y, Tan ZS, Cheng S, Niiranen TJ. Early-but Not Late-Onset Hypertension Is Related to Midlife Cognitive Function. Hypertension 2021; 77:972-979. [PMID: 33461314 PMCID: PMC7878356 DOI: 10.1161/hypertensionaha.120.16556] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 12/16/2020] [Indexed: 12/16/2022]
Abstract
Hypertension is related to increased risk of cognitive decline in a highly age-dependent manner. However, conflicting evidence exists on the relation between age of hypertension onset and cognition. Our goal was to investigate the association between early- versus late-onset hypertension and midlife cognitive performance in 2946 CARDIA study (Coronary Artery Risk Development in Young Adults) participants (mean age 55±4, 57% women). The participants underwent 9 repeat examinations, including blood pressure measurements, between 1985 to 1986 and 2015 to 2016. The participants underwent brain magnetic resonance imaging and completed Digit Symbol Substitution Test, Rey Auditory Verbal Learning Test, Stroop interference test, and the Montreal Cognitive Assessment to evaluate cognitive function at the year 30 exam. We assessed the relation between age of hypertension onset and cognitive function using linear regression models adjusted for cognitive decline risk factors, including systolic blood pressure. We observed that individuals with early-onset hypertension (onset at <35 years) had 0.24±0.09, 0.22±0.10, 0.27±0.09, and 0.19±0.07 lower standardized Z-scores in Digit Symbol Substitution Test, Stroop test, Montreal Cognitive Assessment, and a composite cognitive score than participants without hypertension (P<0.05 for all). In contrast, hypertension onset at ≥35 years was not associated with cognitive function (P >0.05 for all). In a subgroup of 559 participants, neither early- nor late-onset hypertension was related to macrostructural brain alterations (P >0.05 for all). Our results indicate that early-onset hypertension is a potent risk factor for midlife cognitive impairment. Thus, age of hypertension onset assessment in clinical practice could improve risk stratification of cognitive decline in patients with hypertension.
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Affiliation(s)
- Karri Suvila
- Division of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Joao A.C. Lima
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yuichiro Yano
- Department of Family Medicine and Community Health, Duke University, Durham, USA
| | - Zaldy S. Tan
- Department of Neurology, Jona Goldrich Center for Alzheimer’s and Memory Disorders, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Susan Cheng
- Division of Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, USA
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, USA
- Framingham Heart Study, Framingham, USA
| | - Teemu J. Niiranen
- Division of Medicine, Turku University Hospital and University of Turku, Turku, Finland
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Turku, Finland
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81
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Uddin N, Tivarus M, Adams H, Little E, Schifitto G, Lande MB. Magnetic Resonance Imaging in Childhood Primary Hypertension: Potential in the Study of Cognitive Outcomes. Hypertension 2021; 77:751-758. [PMID: 33566685 PMCID: PMC7880540 DOI: 10.1161/hypertensionaha.120.15242] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Primary hypertension in youth and young adulthood is associated with decreased neurocognitive test performance both in midlife and during youth itself, leading to concern of subsequent cognitive decline and dementia in later life. The early vascular effects of hypertension in youth are likely involved in the pathogenesis of hypertensive target organ damage to the brain, but the potential impact of antihypertensive treatment from youth on subsequent cognitive health is not known. This review will highlight the need to answer the question of whether treatment of hypertension from early in life would slow cognitive decline in adulthood, and will then outline, for the nonneurologist, magnetic resonance imaging techniques potentially useful in the study of the pathogenesis of decreased cognition in hypertensive youth and for use as potential biomarkers for early antihypertensive treatment interventions.
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Affiliation(s)
- Nasir Uddin
- Department of Neurology, University of Rochester,
Rochester, NY
| | - Madalina Tivarus
- Department of Imaging Sciences, University of Rochester,
Rochester, NY
- Department of Neuroscience, University of Rochester,
Rochester, NY
| | - Heather Adams
- Department of Neurology, University of Rochester,
Rochester, NY
- Department of Pediatrics, University of Rochester,
Rochester, NY
| | - Erika Little
- Department of Pediatrics, University of Rochester,
Rochester, NY
| | - Giovanni Schifitto
- Department of Neurology, University of Rochester,
Rochester, NY
- Department of Imaging Sciences, University of Rochester,
Rochester, NY
| | - Marc B. Lande
- Department of Pediatrics, University of Rochester,
Rochester, NY
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82
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Mitchell GF. Arterial Stiffness in Aging: Does It Have a Place in Clinical Practice?: Recent Advances in Hypertension. Hypertension 2021; 77:768-780. [PMID: 33517682 DOI: 10.1161/hypertensionaha.120.14515] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Aortic stiffness increases markedly with age and is associated with excess risk for various adverse clinical outcomes, including heart disease, dementia, and kidney disease. Although evidence for adverse effects of aortic stiffening is overwhelming, integration of direct and indirect measures of aortic stiffness into routine clinical assessment has lagged behind the science. This brief review will examine recent evidence supporting the value of stiffness as an important new risk factor for hypertension and cardiovascular disease and will offer suggestions for incorporating stiffness measures into routine clinical practice.
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83
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Kim HJ, Lee JH, Cheong EN, Chung SE, Jo S, Shim WH, Hong YJ. Elucidating the Risk Factors for Progression from Amyloid-Negative Amnestic Mild Cognitive Impairment to Dementia. Curr Alzheimer Res 2021; 17:893-903. [PMID: 33256581 DOI: 10.2174/1567205017666201130094259] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 10/07/2020] [Accepted: 11/24/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Amyloid PET allows for the assessment of amyloid β status in the brain, distinguishing true Alzheimer's disease from Alzheimer's disease-mimicking conditions. Around 15-20% of patients with clinically probable Alzheimer's disease have been found to have no significant Alzheimer's pathology on amyloid PET. However, a limited number of studies had been conducted on this subpopulation in terms of clinical progression. OBJECTIVE We investigated the risk factors that could affect the progression to dementia in patients with amyloid-negative amnestic mild cognitive impairment (MCI). METHODS This study was a single-institutional, retrospective cohort study of patients over the age of 50 with amyloid-negative amnestic MCI who visited the memory clinic of Asan Medical Center with a follow-up period of more than 36 months. All participants underwent brain magnetic resonance imaging (MRI), detailed neuropsychological testing, and fluorine-18[F18]-florbetaben amyloid PET. RESULTS During the follow-up period, 39 of 107 patients progressed to dementia from amnestic MCI. In comparison with the stationary group, the progressed group had a more severe impairment in verbal and visual episodic memory function and hippocampal atrophy, which showed an Alzheimer's diseaselike pattern despite the lack of evidence for significant Alzheimer's disease pathology. Voxel-based morphometric MRI analysis revealed that the progressed group had a reduced gray matter volume in the bilateral cerebellar cortices, right temporal cortex, and bilateral insular cortices. CONCLUSION Considering the lack of evidence of amyloid pathology, clinical progression of these subpopulation may be caused by other neuropathologies such as TDP-43, abnormal tau or alpha synuclein that lead to neurodegeneration independent of amyloid-driven pathway. Further prospective studies incorporating biomarkers of Alzheimer's disease-mimicking dementia are warranted.
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Affiliation(s)
- Hyung-Ji Kim
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jae-Hong Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - E-Nae Cheong
- Health Innovation Big Data Center, Asan Institute for Life Sciences, Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sung-Eun Chung
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sungyang Jo
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Woo-Hyun Shim
- Health Innovation Big Data Center, Asan Institute for Life Sciences, Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Yun J Hong
- Department of Neurology, The Catholic University of Korea, Uijeongbu St. Mary's Hospital, Uijeongbu, Korea
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84
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Hupfeld KE, McGregor HR, Reuter-Lorenz PA, Seidler RD. Microgravity effects on the human brain and behavior: Dysfunction and adaptive plasticity. Neurosci Biobehav Rev 2021; 122:176-189. [PMID: 33454290 DOI: 10.1016/j.neubiorev.2020.11.017] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 09/01/2020] [Accepted: 11/11/2020] [Indexed: 10/22/2022]
Abstract
Emerging plans for travel to Mars and other deep space destinations make it critical for us to understand how spaceflight affects the human brain and behavior. Research over the past decade has demonstrated two co-occurring patterns of spaceflight effects on the brain and behavior: dysfunction and adaptive plasticity. Evidence indicates the spaceflight environment induces adverse effects on the brain, including intracranial fluid shifts, gray matter changes, and white matter declines. Past work also suggests that the spaceflight environment induces adaptive neural effects such as sensory reweighting and neural compensation. Here, we introduce a new conceptual framework to synthesize spaceflight effects on the brain, Spaceflight Perturbation Adaptation Coupled with Dysfunction (SPACeD). We review the literature implicating neurobehavioral dysfunction and adaptation in response to spaceflight and microgravity analogues, and we consider pre-, during-, and post-flight factors that may interact with these processes. We draw several instructive parallels with the aging literature which also suggests co-occurring neurobehavioral dysfunction and adaptive processes. We close with recommendations for future spaceflight research, including: 1) increased efforts to distinguish between dysfunctional versus adaptive effects by testing brain-behavioral correlations, and 2) greater focus on tracking recovery time courses.
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Affiliation(s)
- K E Hupfeld
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
| | - H R McGregor
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
| | - P A Reuter-Lorenz
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States
| | - R D Seidler
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States; Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States.
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85
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Miller KL, Pedelty L, Testai FD. The relationship between heart disease and cognitive impairment. HANDBOOK OF CLINICAL NEUROLOGY 2021; 177:377-391. [PMID: 33632454 DOI: 10.1016/b978-0-12-819814-8.00023-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Neurodegenerative dementias, such as Alzheimer's disease, and vascular cognitive impairment were once considered unrelated processes. Emerging evidence, however, shows that both conditions often coexist and that vascular risk factors in midlife predispose to the development of cognitive decline later in older adults. In addition, recent advanced in basic science research have elucidated key underpinnings of this association. In this chapter, we review the clinical and basic science data that explain the relationship between vascular risk factors, heart disease, and cognitive decline.
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Affiliation(s)
- Kristin L Miller
- Department of Neurology and Rehabilitation, University of Illinois at Chicago, Chicago, IL, United States.
| | - Laura Pedelty
- Department of Neurology and Rehabilitation, University of Illinois at Chicago, Chicago, IL, United States
| | - Fernando D Testai
- Department of Neurology and Rehabilitation, University of Illinois at Chicago, Chicago, IL, United States
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86
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Newby D, Winchester L, Sproviero W, Fernandes M, Wang D, Kormilitzin A, Launer LJ, Nevado-Holgado AJ. Associations Between Brain Volumes and Cognitive Tests with Hypertensive Burden in UK Biobank. J Alzheimers Dis 2021; 84:1373-1389. [PMID: 34690138 PMCID: PMC8673518 DOI: 10.3233/jad-210512] [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] [Subscribe] [Scholar Register] [Accepted: 09/13/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Mid-life hypertension is an established risk factor for cognitive impairment and dementia and related to greater brain atrophy and poorer cognitive performance. Previous studies often have small sample sizes from older populations that lack utilizing multiple measures to define hypertension such as blood pressure, self-report information, and medication use; furthermore, the impact of the duration of hypertension is less extensively studied. OBJECTIVE To investigate the relationship between hypertension defined using multiple measures and length of hypertension with brain measure and cognition. METHODS Using participants from the UK Biobank MRI visit with blood pressure measurements (n = 31,513), we examined the cross-sectional relationships between hypertension and duration of hypertension with brain volumes and cognitive tests using generalized linear models adjusted for confounding. RESULTS Compared with normotensives, hypertensive participants had smaller brain volumes, larger white matter hyperintensities (WMH), and poorer performance on cognitive tests. For total brain, total grey, and hippocampal volumes, those with greatest duration of hypertension had the smallest brain volumes and the largest WMH, ventricular cerebrospinal fluid volumes. For other subcortical and white matter microstructural regions, there was no clear relationship. There were no significant associations between duration of hypertension and cognitive tests. CONCLUSION Our results show hypertension is associated with poorer brain and cognitive health however, the impact of duration since diagnosis warrants further investigation. This work adds further insights by using multiple measures defining hypertension and analysis on duration of hypertension which is a substantial advance on prior analyses-particularly those in UK Biobank which present otherwise similar analyses on smaller subsets.
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Affiliation(s)
- Danielle Newby
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - Laura Winchester
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - William Sproviero
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - Marco Fernandes
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, UK
| | | | - Andrey Kormilitzin
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, UK
| | | | - Alejo J. Nevado-Holgado
- University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, UK
- Big Data Institute, University of Oxford, Oxford, UK
- Akrivia Health, Oxford, UK
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87
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Aeschbacher S, Blum S, Meyre PB, Coslovsky M, Vischer AS, Sinnecker T, Rodondi N, Beer JH, Moschovitis G, Moutzouri E, Hunkeler C, Burkard T, Eken C, Roten L, Zuern CS, Sticherling C, Wuerfel J, Bonati LH, Conen D, Osswald S, Kühne M. Blood Pressure and Brain Lesions in Patients With Atrial Fibrillation. Hypertension 2020; 77:662-671. [PMID: 33356398 PMCID: PMC7803457 DOI: 10.1161/hypertensionaha.120.16025] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Supplemental Digital Content is available in the text. The association of blood pressure (BP) and hypertension with the presence of different types of brain lesions in patients with atrial fibrillation is unclear. BP values were obtained in a multicenter cohort of patients with atrial fibrillation. Systolic and diastolic BP was categorized in predefined groups. All patients underwent brain magnetic resonance imaging and neurocognitive testing. Brain lesions were classified as large noncortical or cortical infarcts, small noncortical infarcts, microbleeds, or white matter lesions. White matter lesions were graded according to the Fazekas scale. Overall, 1738 patients with atrial fibrillation were enrolled in this cross-sectional analysis (mean age, 73 years, 73% males). Mean BP was 135/79 mm Hg, and 67% of participants were taking BP-lowering treatment. White matter lesions Fazekas ≥2 were found in 54%, large noncortical or cortical infarcts in 22%, small noncortical infarcts in 21%, and microbleeds in 22% of patients, respectively. Compared with patients with systolic BP <120 mm Hg, the adjusted odds ratios (95% CI) for Fazekas≥2 was 1.25 (0.94–1.66), 1.41 (1.03–1.93), and 2.54 (1.65–3.95) among patients with systolic BP of 120 to 140, 140 to 160, and ≥160 mm Hg (P for linear trend<0.001). Per 5 mm Hg increase in systolic and diastolic BP, the adjusted β-coefficient (95% CI) for log-transformed white matter lesions was 0.04 (0.02–0.05), P<0.001 and 0.04 (0.01–0.06), P=0.004. Systolic BP was associated with small noncortical infarcts (odds ratios [95% CI] per 5 mm Hg 1.05 [1.01–1.08], P=0.006), microbleeds were associated with hypertension, but large noncortical or cortical infarcts were not associated with BP or hypertension. After multivariable adjustment, BP and hypertension were not associated with neurocognitive function. Among patients with atrial fibrillation, BP is strongly associated with the presence and extent of white matter lesions, but there is no association with large noncortical or cortical infarcts.
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Affiliation(s)
- Stefanie Aeschbacher
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Steffen Blum
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Pascal B Meyre
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Michael Coslovsky
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Department of Clinical Research (M.C.), University of Basel, Switzerland
| | - Annina S Vischer
- Medical Outpatient Department, ESH Hypertension Centre of Excellence (A.S.V., T.B.), University of Basel, Switzerland
| | - Tim Sinnecker
- Department of Neurology and Stroke Center (T.S., L.H.B.), University of Basel, Switzerland.,University Hospital Basel, and Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (T.S., J.W.), University of Basel, Switzerland
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM) (N.R., E.M.), Inselspital, Bern University Hospital, University of Bern, Switzerland.,Department of General Internal Medicine (N.R., E.M.), Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Jürg H Beer
- Department of Medicine, Cantonal Hospital of Baden and Molecular Cardiology, University Hospital of Zurich, Switzerland (J.H.B.)
| | | | - Elisavet Moutzouri
- Institute of Primary Health Care (BIHAM) (N.R., E.M.), Inselspital, Bern University Hospital, University of Bern, Switzerland.,Department of General Internal Medicine (N.R., E.M.), Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Christof Hunkeler
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Thilo Burkard
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Medical Outpatient Department, ESH Hypertension Centre of Excellence (A.S.V., T.B.), University of Basel, Switzerland
| | - Ceylan Eken
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Laurent Roten
- Department of Cardiology, Inselspital, Bern University Hospital and University of Bern, Switzerland (L.R.)
| | - Christine S Zuern
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Christian Sticherling
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Jens Wuerfel
- University Hospital Basel, and Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (T.S., J.W.), University of Basel, Switzerland
| | - Leo H Bonati
- Department of Neurology and Stroke Center (T.S., L.H.B.), University of Basel, Switzerland
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Canada (D.C.)
| | - Stefan Osswald
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
| | - Michael Kühne
- From the Cardiology Division, Department of Medicine (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland.,Cardiovascular Research Institute Basel (S.A., S.B., P.M., M.C., C.H., T.B., C.E., C.S.Z., C.S., S.O., M.K.), University of Basel, Switzerland
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88
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Sargurupremraj M, Suzuki H, Jian X, Sarnowski C, Evans TE, Bis JC, Eiriksdottir G, Sakaue S, Terzikhan N, Habes M, Zhao W, Armstrong NJ, Hofer E, Yanek LR, Hagenaars SP, Kumar RB, van den Akker EB, McWhirter RE, Trompet S, Mishra A, Saba Y, Satizabal CL, Beaudet G, Petit L, Tsuchida A, Zago L, Schilling S, Sigurdsson S, Gottesman RF, Lewis CE, Aggarwal NT, Lopez OL, Smith JA, Valdés Hernández MC, van der Grond J, Wright MJ, Knol MJ, Dörr M, Thomson RJ, Bordes C, Le Grand Q, Duperron MG, Smith AV, Knopman DS, Schreiner PJ, Evans DA, Rotter JI, Beiser AS, Maniega SM, Beekman M, Trollor J, Stott DJ, Vernooij MW, Wittfeld K, Niessen WJ, Soumaré A, Boerwinkle E, Sidney S, Turner ST, Davies G, Thalamuthu A, Völker U, van Buchem MA, Bryan RN, Dupuis J, Bastin ME, Ames D, Teumer A, Amouyel P, Kwok JB, Bülow R, Deary IJ, Schofield PR, Brodaty H, Jiang J, Tabara Y, Setoh K, Miyamoto S, Yoshida K, Nagata M, Kamatani Y, Matsuda F, Psaty BM, Bennett DA, De Jager PL, Mosley TH, Sachdev PS, Schmidt R, Warren HR, Evangelou E, Trégouët DA, Ikram MA, Wen W, DeCarli C, Srikanth VK, Jukema JW, Slagboom EP, Kardia SLR, Okada Y, Mazoyer B, Wardlaw JM, Nyquist PA, Mather KA, Grabe HJ, Schmidt H, Van Duijn CM, Gudnason V, Longstreth WT, Launer LJ, Lathrop M, Seshadri S, Tzourio C, Adams HH, Matthews PM, Fornage M, Debette S. Cerebral small vessel disease genomics and its implications across the lifespan. Nat Commun 2020; 11:6285. [PMID: 33293549 PMCID: PMC7722866 DOI: 10.1038/s41467-020-19111-2] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 09/10/2020] [Indexed: 12/14/2022] Open
Abstract
White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5×10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.
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Affiliation(s)
- Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Hideaki Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo, Aoba, Sendai, 980-8573, Japan
- Department of Cardiovascular Medicine, Tohoku University Hospital, 1-1, Seiryo, Aoba, Sendai, 980-8574, Japan
- Department of Brain Sciences, Imperial College London, London, W12 0NN, UK
| | - Xueqiu Jian
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, 77030, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Tavia E Evans
- Department of Clinical Genetics, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | | | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- Department of Allergy and Rheumatology, Graduate School of Medicine, the University of Tokyo, Tokyo, 113-0033, Japan
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Mohamad Habes
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Nicola J Armstrong
- Mathematics and Statistics, Murdoch University, Murdoch, WA, 6150, Australia
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, 8036, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
| | - Lisa R Yanek
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Saskia P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Social Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | - Rajan B Kumar
- Department of Public Health Sciences, University of California at Davis, Davis, CA, 95616, USA
| | - Erik B van den Akker
- Section of Molecular Epidemiology, Biomedical Sciences, Leiden university Medical Center, 2333 ZA, Leiden, The Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, NL, 2629 HS, USA
- Leiden Computational Biology Centre, Leiden University Medical Centre, 2333 ZA, Leiden, The Netherlands
| | - Rebekah E McWhirter
- Centre for Law and Genetics, Faculty of Law, University of Tasmania, Hobart, TAS, 7005, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
| | - Stella Trompet
- Department of Internal Medicine, section of gerontology and geriatrics, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Yasaman Saba
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
- Gottfried Schatz Research Center, Department of Molecular Biology and Biochemistry, Medical University of Graz, 8010, Graz, Austria
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, 02215, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Gregory Beaudet
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Laurent Petit
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Ami Tsuchida
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Laure Zago
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Sabrina Schilling
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | | | | | - Cora E Lewis
- University of Alabama at Birmingham School of Medicine, Birmingham, AL, 35233, USA
| | - Neelum T Aggarwal
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Oscar L Lopez
- Departments of Neurology and Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Maria C Valdés Hernández
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Row Fogo Centre for Ageing and The Brain, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Jeroen van der Grond
- Department of Radiology, Leiden University medical Center, 2333 ZA, Leiden, The Netherlands
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
- Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, 17475, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, 17475, Greifswald, Germany
| | - Russell J Thomson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
- Centre for Research in Mathematics and Data Science, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Constance Bordes
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Quentin Le Grand
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Marie-Gabrielle Duperron
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | | | | | - Pamela J Schreiner
- University of Minnesota School of Public Health, Minneapolis, MN, 55455, USA
| | - Denis A Evans
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, 02215, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Susana Muñoz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Marian Beekman
- Section of Molecular Epidemiology, Biomedical Sciences, Leiden university Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Julian Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Meike W Vernooij
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, 17489, Greifswald, Germany
| | - Wiro J Niessen
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, NL, 2629 HS, USA
| | - Aicha Soumaré
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Eric Boerwinkle
- University of Texas Health Science Center at Houston School of Public Health, Houston, TX, 77030, USA
| | - Stephen Sidney
- Kaiser Permanente Division of Research, Oakland, CA, 94612, USA
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, 55905, USA
| | - Gail Davies
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Anbupalam Thalamuthu
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Mark A van Buchem
- Row Fogo Centre for Ageing and The Brain, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - R Nick Bryan
- The University of Texas at Austin Dell Medical School, Austin, TX, 78712, USA
| | - Josée Dupuis
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Department of Cardiology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Mark E Bastin
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - David Ames
- National Ageing Research Institute Royal Melbourne Hospital, Parkville, VIC, 3052, Australia
- Academic Unit for Psychiatry of Old Age, University of Melbourne, St George's Hospital, Kew, VIC, 3101, Australia
| | - Alexander Teumer
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Internal Medicine B, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Philippe Amouyel
- Inserm U1167, 59000, Lille, France
- Department of Epidemiology and Public Health, Pasteur Institute of Lille, 59000, Lille, France
| | - John B Kwok
- Brain and Mind Centre - The University of Sydney, Camperdown, NSW, 2050, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Robin Bülow
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, 17489, Greifswald, Germany
| | - Ian J Deary
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036, Graz, Austria
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Peter R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Neuroscience Research Australia, Randwick, NSW, 2031, Australia
| | - Henry Brodaty
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Dementia Centre for Research Collaboration, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Jiyang Jiang
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Kazuya Setoh
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Manabu Nagata
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Bruce M Psaty
- Departments of Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, 98195, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
- Program in Population and Medical Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Thomas H Mosley
- Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Perminder S Sachdev
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, 2031, Australia
| | - Reinhold Schmidt
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Helen R Warren
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 4NS, UK
- National Institute for Health Research Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, SW7 2AZ, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Mpizani, 455 00, Greece
| | - David-Alexandre Trégouët
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Mohammad A Ikram
- Department of Epidemiology, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, 95817, USA
| | - Velandai K Srikanth
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Eline P Slagboom
- Section of Molecular Epidemiology, Biomedical Sciences, Leiden university Medical Center, 2333 ZA, Leiden, The Netherlands
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2029, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, 565-0871, Osaka, Japan
| | - Bernard Mazoyer
- University of Bordeaux, IMN, UMR 5293, 33000, Bordeaux, France
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Row Fogo Centre for Ageing and The Brain, University of Edinburgh, Edinburgh, EH8 9JZ, UK
- MRC UK Dementia Research Institute at the University of Edinburgh, Edinburgh, EH8 9YL, UK
| | - Paul A Nyquist
- Department of Neurology, Johns Hopkins School of Medicine, Baltimone, MD, 21205, USA
- General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, 2052, Australia
- Neuroscience Research Australia, Randwick, NSW, 2031, Australia
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, 17475, Greifswald, Germany
| | - Helena Schmidt
- Gottfried Schatz Research Center, Department of Molecular Biology and Biochemistry, Medical University of Graz, 8010, Graz, Austria
| | - Cornelia M Van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Vilmundur Gudnason
- Icelandic Heart Association, IS-201, Kópavogur, Iceland
- University of Iceland, Faculty of Medicine, 101, Reykjavík, Iceland
| | - William T Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, 98104-2420, USA
| | - Lenore J Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Aging, The National Institutes of Health, Bethesda, MD, 20892, USA
- Intramural Research Program/National Institute on Aging/National Institutes of Health, Bethesda, MD, 20892, USA
| | - Mark Lathrop
- University of McGill Genome Center, Montreal, QC, H3A 0G1, Canada
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, 78229, USA
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, 02215, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Christophe Tzourio
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France
- CHU de Bordeaux, Pole de santé publique, Service d'information médicale, 33000, Bordeaux, France
| | - Hieab H Adams
- Department of Clinical Genetics, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, 3015 GE, Rotterdam, The Netherlands
| | - Paul M Matthews
- Department of Brain Sciences, Imperial College London, London, W12 0NN, UK
- UK Dementia Research Institute, London, WC1E 6BT, UK
- Data Science Institute, Imperial College London, London, SW7 2AZ, UK
| | - Myriam Fornage
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, 77030, USA.
| | - Stéphanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000, Bordeaux, France.
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA.
- Department of Neurology, CHU de Bordeaux, 33000, Bordeaux, France.
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89
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White matter hyperintensities and risks of cognitive impairment and dementia: A systematic review and meta-analysis of 36 prospective studies. Neurosci Biobehav Rev 2020; 120:16-27. [PMID: 33188821 DOI: 10.1016/j.neubiorev.2020.11.007] [Citation(s) in RCA: 137] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 10/20/2020] [Accepted: 11/06/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND White matter hyperintensities of presumed vascular origin (WMH) are one of the imaging features of cerebral small vessel disease. Controversies persist about the effects of WMH on cognitive dysfunction. This meta-analysis aimed to identify the associations of WMH with risks of cognitive impairment and dementia. METHODS We searched PubMed, EMBASE and Cochrane Library for prospective studies. Primary analyses of cognitive dysfunction and sub-analyses of specific outcomes and study characteristics were conducted using random-effect models. RESULTS Thirty-six prospective studies with 19,040 participants were included. WMH at baseline conferred a 14 % elevated risk of cognitive impairment and all-cause dementia (ACD). WMH also conferred 25 % elevated risk of Alzheimer's disease and 73 % elevated risk of vascular dementia. Risk effects of high-grade WMH and continually increasing WMH (in volume or severity) on ACD were revealed. Periventricular WMH conferred a 1.51-fold excess risk for dementia. CONCLUSIONS WMH were associated with increased risk of cognitive dysfunction and could become a neuroimaging indicator of dementia.
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90
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Zlokovic BV, Gottesman RF, Bernstein KE, Seshadri S, McKee A, Snyder H, Greenberg SM, Yaffe K, Schaffer CB, Yuan C, Hughes TM, Daemen MJ, Williamson JD, González HM, Schneider J, Wellington CL, Katusic ZS, Stoeckel L, Koenig JI, Corriveau RA, Fine L, Galis ZS, Reis J, Wright JD, Chen J. Vascular contributions to cognitive impairment and dementia (VCID): A report from the 2018 National Heart, Lung, and Blood Institute and National Institute of Neurological Disorders and Stroke Workshop. Alzheimers Dement 2020; 16:1714-1733. [PMID: 33030307 DOI: 10.1002/alz.12157] [Citation(s) in RCA: 112] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/30/2020] [Accepted: 06/30/2020] [Indexed: 12/14/2022]
Abstract
Vascular contributions to cognitive impairment and dementia (VCID) are characterized by the aging neurovascular unit being confronted with and failing to cope with biological insults due to systemic and cerebral vascular disease, proteinopathy including Alzheimer's biology, metabolic disease, or immune response, resulting in cognitive decline. This report summarizes the discussion and recommendations from a working group convened by the National Heart, Lung, and Blood Institute and the National Institute of Neurological Disorders and Stroke to evaluate the state of the field in VCID research, identify research priorities, and foster collaborations. As discussed in this report, advances in understanding the biological mechanisms of VCID across the wide spectrum of pathologies, chronic systemic comorbidities, and other risk factors may lead to potential prevention and new treatment strategies to decrease the burden of dementia. Better understanding of the social determinants of health that affect risks for both vascular disease and VCID could provide insight into strategies to reduce racial and ethnic disparities in VCID.
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Affiliation(s)
| | | | | | - Sudha Seshadri
- University of Texas Health Science Center, San Antonio and Boston University, San Antonio, Texas, USA
| | - Ann McKee
- VA Boston Healthcare System and Boston University, Boston, Massachusetts, USA
| | | | - Steven M Greenberg
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kristine Yaffe
- University of California, San Francisco, San Francisco, California, USA
| | | | - Chun Yuan
- University of Washington, Seattle, Washington, USA
| | - Timothy M Hughes
- Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Mat J Daemen
- Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | | | | | | | | | | | - Luke Stoeckel
- National Institute on Aging, Bethesda, Maryland, USA
| | - James I Koenig
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Roderick A Corriveau
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Lawrence Fine
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Zorina S Galis
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Jared Reis
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | | | - Jue Chen
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
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91
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Tuo M, Xiao Y, Xu Y, Wang L, Wei X, Zhang L. Role of Granulocyte-colony Stimulating Factor in the Protection of Cerebral Vascular Endothelium, White Matter, and Cognition. Curr Neurovasc Res 2020; 16:425-432. [PMID: 31660819 DOI: 10.2174/1567202616666191029115113] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 09/29/2019] [Accepted: 10/02/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND Granulocyte-colony stimulating factor (G-CSF) has protective effects on many neurological diseases. The effects of G-CSF on vascular endothelium and White Matter (WM) injury in Cerebral Small Vessel Disease (CSVD) were explored in this study via a model of spontaneously hypertensive rat (SHR) in order to elucidate the mechanism of G-CSF in Vascular Cognitive Impairment (VCI). METHODS 24-week-old male SHRs were randomly divided into the treatment group and model group, with the same age Wistar rats as the control group. The novel object recognition test (NORT) and Morris water maze were conducted after 7 days of G-CSF(50ug/kg) or normal saline treatment to examine their non-spatial and spatial cognitive functions. After that, a transmission electron microscope (TEM) and FLB staining were used to observe the vascular endothelial cell and WM damage. Furthermore, the expression of VEGF, MMP-9, Caspase-3, TUNEL and BrdULaminin in the cortical area was detected by immunostaining methods. RESULTS Our results showed that G-CSF promoted the expression of VEGF and BrdU+-Laminin+ endothelial cells, but down-regulated the level of MMP-9, thus significantly repaired the cerebral vascular endothelial cells and perivascular structure in SHR. The WM damage, the expression of caspase-3 and the apoptosis rate decreased after G-CSF treatment. Ultimately, G-CSF improved the non-spatial cognitive function in SHR rather than the spatial cognitive function. CONCLUSION Therefore, our findings indicated that G-CSF might facilitate the improvement of non-spatial cognitive function in CSVD by repairing endothelial cells and alleviating WM damage.
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Affiliation(s)
- Minghui Tuo
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Yunyue Xiao
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Yan Xu
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.,Neuropsychological Research Center, Wuhan University, Hubei, 430071, China
| | - Lisha Wang
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Xin Wei
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Lei Zhang
- Neuropsychological Research Center, Wuhan University, Hubei, 430071, China
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92
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Common Brain Structural Alterations Associated with Cardiovascular Disease Risk Factors and Alzheimer's Dementia: Future Directions and Implications. Neuropsychol Rev 2020; 30:546-557. [PMID: 33011894 DOI: 10.1007/s11065-020-09460-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 09/24/2020] [Indexed: 01/18/2023]
Abstract
Recent reports suggest declines in the age-specific risk of Alzheimer's dementia in higher income Western countries. At the same time, investigators believe that worldwide trends of increasing mid-life modifiable risk factors [e.g., cardiovascular disease (CVD) risk factors] coupled with the growth of the world's oldest age groups may nonetheless lead to an increase in Alzheimer's dementia. Thus, understanding the overlap in neuroanatomical profiles associated with CVD risk factors and AD may offer more relevant targets for investigating ways to reduce the growing dementia epidemic than current targets specific to isolated AD-related neuropathology. We hypothesized that a core group of common brain structural alterations exist between CVD risk factors and Alzheimer's dementia. Two co-authors conducted independent literature reviews in PubMed using search terms for CVD risk factor burden (separate searches for 'cardiovascular disease risk factors', 'hypertension', and 'Type 2 diabetes') and 'aging' or 'Alzheimer's dementia' with either 'grey matter volumes' or 'white matter'. Of studies that reported regionally localized results, we found support for our hypothesis, determining 23 regions commonly associated with both CVD risk factors and Alzheimer's dementia. Within this context, we outline future directions for research as well as larger cerebrovascular implications for these commonalities. Overall, this review supports previous as well as more recent calls for the consideration that both vascular and neurodegenerative factors contribute to the pathogenesis of dementia.
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93
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Baradaran H, Gupta A. Brain imaging biomarkers of carotid artery disease. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1277. [PMID: 33178809 PMCID: PMC7607077 DOI: 10.21037/atm-20-1939] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Extracranial carotid artery atherosclerotic disease is a major contributor to ischemic stroke. Carotid atherosclerotic disease can present with a spectrum of findings ranging from mild carotid intima-media thickness to high-risk vulnerable carotid plaque features and carotid stenosis. Before leading to clinically overt stroke or transient ischemic attack, there may be other markers of downstream ischemia secondary to carotid atherosclerotic disease. In this review article, we will review some of the imaging findings that may be seen downstream to carotid artery disease on various imaging modalities, including hemodynamic and perfusional abnormalities which may be seen on CT, MR, or using other advanced imaging techniques, white matter hyperintensities on brain imaging, silent or covert brain infarctions, cerebral microbleeds, and regional and generalized cerebral volume loss. Many of these imaging findings are seen routinely on brain magnetic resonance imaging in patients without overt clinical symptoms. Despite frequently being asymptomatic, many of these imaging findings are also strongly associated with increased risk of future stroke, cognitive impairment, and even mortality. We will review the existing evidence underpinning the associations between these frequently encountered imaging findings and carotid artery atherosclerotic disease. Future validation of these imaging findings could lead to them being powerful biomarkers of cerebrovascular health.
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Affiliation(s)
- Hediyeh Baradaran
- Department of Radiology, University of Utah, Salt Lake City, UT, USA
| | - Ajay Gupta
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA.,Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
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94
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Bergeron MF, Landset S, Zhou X, Ding T, Khoshgoftaar TM, Zhao F, Du B, Chen X, Wang X, Zhong L, Liu X, Ashford JW. Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment. J Alzheimers Dis 2020; 77:1545-1558. [PMID: 32894241 PMCID: PMC7683062 DOI: 10.3233/jad-191340] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background: The widespread incidence and prevalence of Alzheimer’s disease and mild cognitive impairment (MCI) has prompted an urgent call for research to validate early detection cognitive screening and assessment. Objective: Our primary research aim was to determine if selected MemTrax performance metrics and relevant demographics and health profile characteristics can be effectively utilized in predictive models developed with machine learning to classify cognitive health (normal versus MCI), as would be indicated by the Montreal Cognitive Assessment (MoCA). Methods: We conducted a cross-sectional study on 259 neurology, memory clinic, and internal medicine adult patients recruited from two hospitals in China. Each patient was given the Chinese-language MoCA and self-administered the continuous recognition MemTrax online episodic memory test on the same day. Predictive classification models were built using machine learning with 10-fold cross validation, and model performance was measured using Area Under the Receiver Operating Characteristic Curve (AUC). Models were built using two MemTrax performance metrics (percent correct, response time), along with the eight common demographic and personal history features. Results: Comparing the learners across selected combinations of MoCA scores and thresholds, Naïve Bayes was generally the top-performing learner with an overall classification performance of 0.9093. Further, among the top three learners, MemTrax-based classification performance overall was superior using just the top-ranked four features (0.9119) compared to using all 10 common features (0.8999). Conclusion: MemTrax performance can be effectively utilized in a machine learning classification predictive model screening application for detecting early stage cognitive impairment.
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Affiliation(s)
| | - Sara Landset
- Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA
| | - Xianbo Zhou
- SJN Biomed LTD, Kunming, Yunnan, China.,Center for Alzheimer's Research, Washington Institute of Clinical Research, Washington, DC, USA
| | - Tao Ding
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Taghi M Khoshgoftaar
- Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA
| | - Feng Zhao
- Department of Neurology, Dehong People's Hospital, Dehong, Yunnan, China
| | - Bo Du
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xinjie Chen
- Department of Neurology, the First Affiliated Hospital of Kunming Medical University, Wuhua District, Kunming, Yunnan Province, China
| | - Xuan Wang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Lianmei Zhong
- Department of Neurology, the First Affiliated Hospital of Kunming Medical University, Wuhua District, Kunming, Yunnan Province, China
| | - Xiaolei Liu
- Department of Neurology, the First Affiliated Hospital of Kunming Medical University, Wuhua District, Kunming, Yunnan Province, China
| | - J Wesson Ashford
- War-Related Illness and Injury Study Center, VA Palo Alto Health Care System, Palo Alto, CA, USA.,Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA
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95
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Shan ZY, Barnden LR, Kwiatek RA, Bhuta S, Hermens DF, Lagopoulos J. Neuroimaging characteristics of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): a systematic review. J Transl Med 2020; 18:335. [PMID: 32873297 PMCID: PMC7466519 DOI: 10.1186/s12967-020-02506-6] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 08/26/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Since the 1990s, neuroimaging has been utilised to study Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), a debilitating illness with unknown aetiology. While brain abnormalities in ME/CFS have been identified, relatively little is known regarding which specific abnormalities are consistently observed across research groups and to what extent the observed abnormalities are reproducible. METHOD To identify consistent and inconsistent neuroimaging observations in ME/CFS, this retrospective and systematic review searched for studies in which neuroimaging was used to investigate brain abnormalities in ME/CFS in Ovid MEDLINE, PubMed (NCBI), and Scopus from January 1988 to July 2018. A qualitative synthesis of observations was performed to identify brain abnormalities that were consistently and inconsistently reported. RESULTS 63 full-text articles were included in the synthesis of results from 291 identified papers. Additional brain area recruitment for cognitive tasks and abnormalities in the brain stem are frequent observations in 11 and 9 studies using different modalities from different research teams respectively. Also, sluggish blood oxygenation level-dependent (BOLD) signal responses to tasks, reduced serotonin transporters, and regional hypometabolism are consistent observations by more than two research teams. Single observations include abnormal brain tissue properties, regional metabolic abnormalities, and association of brain measures with ME/CFS symptoms. Reduced resting cerebral blood flow and volumetric brain changes are inconsistent observations across different studies. CONCLUSION Neuroimaging studies of ME/CFS have frequently observed additional brain area recruitment during cognitive tasks and abnormalities in the brain stem. The frequent observation of additional brain area recruitment and consistent observation of sluggish fMRI signal response suggest abnormal neurovascular coupling in ME/CFS.
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Affiliation(s)
- Zack Y Shan
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, 4575, Australia.
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, 4222, Australia.
| | - Leighton R Barnden
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, 4222, Australia
| | - Richard A Kwiatek
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, 4575, Australia
| | - Sandeep Bhuta
- Medical Imaging Department, Gold Coast University Hospital, Parklands, QLD, 4215, Australia
| | - Daniel F Hermens
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, 4575, Australia
| | - Jim Lagopoulos
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, 4575, Australia
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96
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Sun D, Thomas EA, Launer LJ, Sidney S, Yaffe K, Fornage M. Association of blood pressure with cognitive function at midlife: a Mendelian randomization study. BMC Med Genomics 2020; 13:121. [PMID: 32847530 PMCID: PMC7448985 DOI: 10.1186/s12920-020-00769-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/17/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Whether high blood pressure has a causal effect on cognitive function as early as middle age is unclear. We investigated whether high blood pressure (BP) causally impairs cognitive function at midlife using Mendelian Randomization (MR). METHODS We applied a two-sample MR approach to investigate the causal relationship between BP and midlife cognitive performance measured by the Digit Symbol Substitution Test (DSST), Rey Auditory Verbal Learning Test (RAVLT), and Stroop Interference test. We used a total of 109 genetic polymorphisms with established associations with BP as instrumental variables and estimated gene-cognitive function association in 1369 middle-aged adults (Mean age (SD): 50.8 (3.3), 54.0% women) from the CARDIA study. RESULTS A 10 mmHg increment in genetically-predicted systolic, diastolic, or pulse pressure was associated with a 4.9 to 7.7-point lower DSST score (P = 0.002, SBP; P = 0.005, DBP and P = 0.008, PP), while a 10 mmHg increment in genetically-predicted SBP was associated with a 0.7 point lower RAVLT and a 2.3 point higher Stroop (P = 0.046 and 0.011, respectively). CONCLUSIONS This MR analysis shows that high BP, especially SBP, is causally associated with poorer processing speed, verbal memory, and executive function during midlife. These findings emphasize the need for further investigation of the role and mechanisms of BP dysregulation on cognitive health in middle age and perhaps, more broadly, across the lifespan.
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Affiliation(s)
- Daokun Sun
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler Street, Houston, TX, 77030, USA
| | - Emy A Thomas
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler Street, Houston, TX, 77030, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Stephen Sidney
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Neurology, University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 1825 Pressler Street, Houston, TX, 77030, USA.
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
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97
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Jennings JR, Muldoon MF, Allen B, Ginty AT, Gianaros PJ. Cerebrovascular function in hypertension: Does high blood pressure make you old? Psychophysiology 2020; 58:e13654. [PMID: 32830869 DOI: 10.1111/psyp.13654] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 05/22/2020] [Accepted: 07/13/2020] [Indexed: 12/22/2022]
Abstract
The majority of individuals over an age of 60 have hypertension. Elevated blood pressure and older age are associated with very similar changes in brain structure and function. We review the parallel brain changes associated with increasing age and blood pressure. This review focuses on joint associations of aging and elevated blood pressure with neuropsychological function, regional cerebral blood flow responses to cognitive and metabolic challenges, white matter disruptions, grey matter volume, cortical thinning, and neurovascular coupling. Treatment of hypertension ameliorates many of these changes but fails to reverse them. Treatment of hypertension itself appears more successful with better initial brain function. We show evidence that sympathetic and renal influences known to increase blood pressure also impact brain integrity. Possible central mechanisms contributing to the course of hypertension and aging are then suggested. An emphasis is placed on psychologically relevant factors: stress, cardiovascular reactions to stress, and diet/obesity. The contribution of some of these factors to biological aging remains unclear and may provide a starting point for defining the independent and interacting effects of aging and increasing blood pressure on the brain.
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Affiliation(s)
- J Richard Jennings
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Matthew F Muldoon
- Department of Medicine, Heart and Vascular Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ben Allen
- Department of Psychology, University of Tennessee, Knoxville, TN, USA
| | - Annie T Ginty
- Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
| | - Peter J Gianaros
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
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98
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Elliott ML. MRI-based biomarkers of accelerated aging and dementia risk in midlife: how close are we? Ageing Res Rev 2020; 61:101075. [PMID: 32325150 DOI: 10.1016/j.arr.2020.101075] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 03/10/2020] [Accepted: 04/15/2020] [Indexed: 01/18/2023]
Abstract
The global population is aging, leading to an increasing burden of age-related neurodegenerative disease. Efforts to intervene against age-related dementias in older adults have generally proven ineffective. These failures suggest that a lifetime of brain aging may be difficult to reverse once widespread deterioration has occurred. To test interventions in younger populations, biomarkers of brain aging are needed that index subtle signs of accelerated brain deterioration that are part of the putative pathway to dementia. Here I review potential MRI-based biomarkers that could connect midlife brain aging to later life dementia. I survey the literature with three questions in mind, 1) Does the biomarker index age-related changes across the lifespan? 2) Does the biomarker index cognitive ability and cognitive decline? 3) Is the biomarker sensitive to known risk factors for dementia? I find that while there is preliminary support for some midlife MRI-based biomarkers for accelerated aging, the longitudinal research that would best answer these questions is still in its infancy and needs to be further developed. I conclude with suggestions for future research.
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Affiliation(s)
- Maxwell L Elliott
- Department of Psychology and Neuroscience, Duke University, 2020 West Main Street, Suite 030, Durham, NC, 27701, USA.
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99
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Blood pressure and cognitive performances in middle-aged adults: the Aging, Health and Work longitudinal study. J Hypertens 2020; 37:1244-1253. [PMID: 30624363 DOI: 10.1097/hjh.0000000000002013] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Our objective was to investigate the impact of both prevalent and incident hypertension on cognition in middle-aged individuals followed up for 10 years and to explore the extent to which blood pressure control by antihypertensive drugs could modify this relationship. METHOD Three thousand, two hundred and one participants from the Vieillissement Santé Travail (Aging, Health and Work) (VISAT) cohort study, aged 32, 42, 52 and 62 years at baseline were followed up 5 and 10 years later. Blood pressure, antihypertensive medication use as well as memory and speed cognitive performances were assessed at baseline and follow-up. Linear mixed models were used for analyses. RESULTS At 10-year follow-up, compared with nonhypertensive participants, prevalent hypertensive individuals showed poorer global cognitive performances (β = -2.99 ± 0.96, P = 0.002 for participants aged 32 or 42 years at baseline and β = -5.94 ± 1.00, P < 0.001 for those aged 52 or 62). Patients with incident hypertension had poorer global cognitive performances over time compared with patients without hypertension. When considering prevalent hypertension and blood pressure control status by antihypertensive therapy, untreated and uncontrolled hypertension were associated with poorer cognitive performances than controlled and no hypertension (untreated hypertension compared with no hypertension: β = -5.51 ± 0.75, P < 0.001; uncontrolled hypertension compared with no hypertension: β = -6.13 ± 1.40, P < 0.001). CONCLUSION Our findings showed that both prevalent and incident hypertension are associated with poorer global cognitive function in middle-aged individuals and suggested a potential preventive effect of antihypertensive therapy on cognition. Thus, for brain functioning, heightened efforts to detect hypertension and adequately treat it are of critical importance.
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100
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Jennings JR, Muldoon MF, Sved AF. Is the Brain an Early or Late Component of Essential Hypertension? Am J Hypertens 2020; 33:482-490. [PMID: 32170317 DOI: 10.1093/ajh/hpaa038] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 02/17/2020] [Accepted: 03/11/2020] [Indexed: 11/13/2022] Open
Abstract
The brain's relationship to essential hypertension is primarily understood to be that of an end-organ, damaged late in life by stroke or dementia. Emerging evidence, however, shows that heightened blood pressure (BP) early in life and prior to traditionally defined hypertension, relates to altered brain structure, cerebrovascular function, and cognitive processing. Deficits in cognitive function, cerebral blood flow responsivity, volumes of brain areas, and white matter integrity all relate to increased but prehypertensive levels of BP. Such relationships may be observed as early as childhood. In this review, we consider the basis of these relationships by examining the emergence of putative causative factors for hypertension that would impact or involve brain function/structure, e.g., sympathetic nervous system activation and related endocrine and inflammatory activation. Currently, however, available evidence is not sufficient to fully explain the specific pattern of brain deficits related to heightened BP. Despite this uncertainty, the evidence reviewed suggests the value that early intervention may have, not only for reducing BP, but also for maintaining brain function.
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Affiliation(s)
- John Richard Jennings
- Department of Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Matthew F Muldoon
- Division of Cardiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Heart and Vascular Institute, Hypertension Center, UPMC Medical Center, Pittsburgh, Pennsylvania, USA
| | - Alan F Sved
- Center for Neuroscience, University of Pittsburgh, Pennsylvania, USA
- Department of Neuroscience, University of Pittsburgh, Pennsylvania, USA
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