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Schindler LS, Subramaniapillai S, Ambikairajah A, Barth C, Crestol A, Voldsbekk I, Beck D, Gurholt TP, Topiwala A, Suri S, Ebmeier KP, Andreassen OA, Draganski B, Westlye LT, de Lange AMG. Cardiometabolic health across menopausal years is linked to white matter hyperintensities up to a decade later. Front Glob Womens Health 2023; 4:1320640. [PMID: 38213741 PMCID: PMC10783171 DOI: 10.3389/fgwh.2023.1320640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/06/2023] [Indexed: 01/13/2024] Open
Abstract
Introduction The menopause transition is associated with several cardiometabolic risk factors. Poor cardiometabolic health is further linked to microvascular brain lesions, which can be detected as white matter hyperintensities (WMHs) using T2-FLAIR magnetic resonance imaging (MRI) scans. Females show higher risk for WMHs post-menopause, but it remains unclear whether changes in cardiometabolic risk factors underlie menopause-related increase in brain pathology. Methods In this study, we assessed whether cross-sectional measures of cardiometabolic health, including body mass index (BMI) and waist-to-hip ratio (WHR), blood lipids, blood pressure, and long-term blood glucose (HbA1c), as well as longitudinal changes in BMI and WHR, differed according to menopausal status at baseline in 9,882 UK Biobank females (age range 40-70 years, n premenopausal = 3,529, n postmenopausal = 6,353). Furthermore, we examined whether these cardiometabolic factors were associated with WMH outcomes at the follow-up assessment, on average 8.78 years after baseline. Results Postmenopausal females showed higher levels of baseline blood lipids (HDL β = 0.14, p < 0.001, LDL β = 0.20, p < 0.001, triglycerides β = 0.12, p < 0.001) and HbA1c (β = 0.24, p < 0.001) compared to premenopausal women, beyond the effects of age. Over time, BMI increased more in the premenopausal compared to the postmenopausal group (β = -0.08, p < 0.001), while WHR increased to a similar extent in both groups (β = -0.03, p = 0.102). The change in WHR was however driven by increased waist circumference only in the premenopausal group. While the group level changes in BMI and WHR were in general small, these findings point to distinct anthropometric changes in pre- and postmenopausal females over time. Higher baseline measures of BMI, WHR, triglycerides, blood pressure, and HbA1c, as well as longitudinal increases in BMI and WHR, were associated with larger WMH volumes (β range = 0.03-0.13, p ≤ 0.002). HDL showed a significant inverse relationship with WMH volume (β = -0.27, p < 0.001). Discussion Our findings emphasise the importance of monitoring cardiometabolic risk factors in females from midlife through the menopause transition and into the postmenopausal phase, to ensure improved cerebrovascular outcomes in later years.
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Affiliation(s)
- Louise S. Schindler
- LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Sivaniya Subramaniapillai
- LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Ananthan Ambikairajah
- Discipline of Psychology, Faculty of Health, University of Canberra, Canberra, Australia
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Claudia Barth
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Arielle Crestol
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Irene Voldsbekk
- Department of Psychology, University of Oslo, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dani Beck
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tiril P. Gurholt
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anya Topiwala
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Klaus P. Ebmeier
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Bogdan Draganski
- LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Lars T. Westlye
- Department of Psychology, University of Oslo, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ann-Marie G. de Lange
- LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
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Studying the Role of Cerebrovascular Changes in Different Compartments in Human Brains in Hypertension Prediction. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12094291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
Hypertension is a major cause of mortality of millions of people worldwide. Cerebral vascular changes are clinically observed to precede the onset of hypertension. The early detection and quantification of these cerebral changes would help greatly in the early prediction of the disease. Hence, preparing appropriate medical plans to avoid the disease and mitigate any adverse events. This study aims to investigate whether studying the cerebral changes in specific regions of human brains (specifically, the anterior, and the posterior compartments) separately, would increase the accuracy of hypertension prediction compared to studying the vascular changes occurring over the entire brain’s vasculature. This was achieved by proposing a computer-aided diagnosis system (CAD) to predict hypertension based on cerebral vascular changes that occur at the anterior compartment, the posterior compartment, and the whole brain separately, and comparing corresponding prediction accuracy. The proposed CAD system works in the following sequence: (1) an MRA dataset of 72 subjects was preprocessed to enhance MRA image quality, increase homogeneity, and remove noise artifacts. (2) each MRA scan was then segmented using an automatic adaptive local segmentation algorithm. (3) the segmented vascular tree was then processed to extract and quantify hypertension descriptive vascular features (blood vessels’ diameters and tortuosity indices) the change of which has been recorded over the time span of the 2-year study. (4) a classification module used these descriptive features along with corresponding differences in blood pressure readings for each subject, to analyze the accuracy of predicting hypertension by examining vascular changes in the anterior, the posterior, and the whole brain separately. Experimental results presented evidence that studying the vascular changes that take place in specific regions of the brain, specifically the anterior compartment reported promising accuracy percentages of up to 90%. However, studying the vascular changes occurring over the entire brain still achieve the best accuracy (of up to 100%) in hypertension prediction compared to studying specific compartments.
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Kehmeier MN, Walker AE. Sex Differences in Large Artery Stiffness: Implications for Cerebrovascular Dysfunction and Alzheimer’s Disease. FRONTIERS IN AGING 2021; 2. [PMID: 35072153 PMCID: PMC8782423 DOI: 10.3389/fragi.2021.791208] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Two in every three Alzheimer’s disease diagnoses are females, calling attention to the need to understand sexual dimorphisms with aging and neurodegenerative disease progression. Dysfunction and damage to the vasculature with aging are strongly linked to Alzheimer’s disease. With aging there is an increase in stiffness of the large elastic arteries, and this stiffening is associated with cerebrovascular dysfunction and cognitive impairment. However, it is unclear how the deleterious effects of arterial stiffness may differ between females and males. While environmental, chromosomal, and sex hormone factors influence aging, there is evidence that the deficiency of estrogen post-menopause in females is a contributor to vascular aging and Alzheimer’s disease progression. The purpose of this mini review is to describe the recent developments in our understanding of sex differences in large artery stiffness, cerebrovascular dysfunction, and cognitive impairment, and their intricate relations. Furthermore, we will focus on the impact of the loss of estrogen post-menopause as a potential driving factor for these outcomes. Overall, a better understanding of how sex differences influence aging physiology is crucial to the prevention and treatment of neurodegenerative diseases.
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Abstract
UNLABELLED Exercise is associated with higher cognitive function and is a promising intervention to reduce the risk of dementia. With advancing age, there are changes in the vasculature that have important clinical implications for brain health and cognition. Primary aging and vascular risk factors are associated with increases in arterial stiffness and pulse pressure, and reductions in peripheral vascular function. OBJECTIVE The purpose is to discuss the epidemiological, observational, and mechanistic evidence regarding the link between age-related changes in vascular health and brain health. METHODS We performed a literature review and integrated with our published data. RESULTS Epidemiological evidence suggests a link between age-related increases in arterial stiffness and lower cognitive function, which may be mediated by cerebral vascular function, including cerebral vasoreactivity and cerebral pulsatility. Age-associated impairments in central arterial stiffness and peripheral vascular function have been attenuated or reversed through lifestyle behaviors such as exercise. Greater volumes of habitual exercise and higher cardiorespiratory fitness are associated with beneficial effects on both peripheral vascular health and cognition. Yet, the extent to which exercise directly influences cerebral vascular function and brain health, as well as the associated mechanisms remains unclear. CONCLUSION Although there is evidence that exercise positively impacts cerebral vascular function, more research is necessary in humans to optimize experimental protocols and address methodological limitations and physiological considerations. Understanding the impact of exercise on cerebral vascular function is important for understanding the association between exercise and brain health and may inform future intervention studies that seek to improve cognition.
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Pearson AG, Miller KB, Corkery AT, Eisenmann NA, Howery AJ, Carl AE, Eldridge MW, Barnes JN. Impact of age and cyclooxygenase inhibition on the hemodynamic response to acute cognitive challenges. Am J Physiol Regul Integr Comp Physiol 2021; 321:R208-R219. [PMID: 34161746 DOI: 10.1152/ajpregu.00048.2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Structural and functional changes in the cerebral vasculature occur with advancing age, which may lead to impaired neurovascular coupling (NVC) and cognitive decline. Cyclooxygenase (COX) inhibition abolishes age-related differences in cerebrovascular reactivity, but it is unclear if COX inhibition impacts NVC. The purpose of this study was to examine the influence of aging on NVC before and after COX inhibition. Twenty-three young (age = 25 ± 4 yr) and 21 older (age = 64 ± 5 yr) adults completed two levels of difficulty of the Stroop and n-back tests before and after COX inhibition. Middle cerebral artery blood velocity (MCAv) was measured using transcranial Doppler ultrasound and mean arterial blood pressure (MAP) was measured using a finger cuff. Hemodynamic variables were measured at rest and in response to cognitive challenges. During the Stroop test, older adults demonstrated a greater increase in MCAv (young: 2.2 ± 6.8% vs. older: 5.9 ± 5.8%; P = 0.030) and MAP (young: 2.0 ± 4.9% vs. older: 4.8 ± 4.9%; P = 0.036) compared with young adults. There were no age-related differences during the n-back test. COX inhibition reduced MCAv by 30% in young and 26% in older adults (P < 0.001 for both). During COX inhibition, there were no age-related differences in the percent change in MCAv or MAP in response to the cognitive tests. Our results show that older adults require greater increases in MCAv and MAP during a test of executive function compared with young adults and that any age-related differences in NVC were abolished during COX inhibition. Collectively, this suggests that aging is associated with greater NVC necessary to accomplish a cognitive task.
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Affiliation(s)
- Andrew G Pearson
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin
| | - Kathleen B Miller
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin
| | - Adam T Corkery
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin
| | - Nicole A Eisenmann
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin
| | - Anna J Howery
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin
| | - Alexandra E Carl
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin
| | - Marlowe W Eldridge
- Division of Critical Care, Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,John Rankin Laboratory of Pulmonary Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Jill N Barnes
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin.,Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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Associations between left ventricular function, vascular function and measures of cerebral small vessel disease: a cross-sectional magnetic resonance imaging study of the UK Biobank. Eur Radiol 2021; 31:5068-5076. [PMID: 33409793 DOI: 10.1007/s00330-020-07567-1] [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: 07/03/2020] [Revised: 09/22/2020] [Accepted: 11/26/2020] [Indexed: 10/22/2022]
Abstract
OBJECTIVES Impaired cardiovascular function has been associated with cognitive deterioration; however, to what extent cardiovascular dysfunction plays a role in structural cerebral changes remains unclear. We studied whether vascular and left ventricular (LV) functions are associated with measures of cerebral small vessel disease (cSVD) in the middle-aged general population. METHODS In this cross-sectional analysis of the UK Biobank, 4366 participants (54% female, mean age 61 years) underwent magnetic resonance imaging to assess LV function (ejection fraction [EF] and cardiac index [CI]) and cSVD measures (total brain volume, grey and white matter volumes, hippocampal volume and white matter hyperintensities [WMH]). Augmentation index (AIx) was used as a measure of arterial stiffness. Linear and non-linear associations were evaluated using cardiovascular function measures as determinants and cSVD measures as outcomes. RESULTS EF was non-linearly associated with total brain volume and grey matter volume, with the largest brain volume for an EF between 55 and 60% (both p < 0.001). EF showed a negative linear association with WMH (- 0.23% [- 0.44; - 0.02], p = 0.03), yet no associations were found with white matter or hippocampal volume. CI showed a positive linear association with white matter (β 3194 mm3 [760; 5627], p = 0.01) and hippocampal volume (β 72.5 mm3 [23.0; 122.0], p = 0.004). No associations were found for CI with total brain volume, grey matter volume or WMH. No significant associations were found between AIx and cSVD measures. CONCLUSIONS This study provides novel insights into the complex associations between the heart and the brain, which could potentially guide early interventions aimed at improving cardiovascular function and the prevention of cSVD. KEY POINTS • Ejection fraction is non-linearly and cardiac index is linearly associated with MRI-derived measures of cerebral small vessel disease. • No associations were found for arterial stiffness with cSVD measures.
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Miller VM, Taylor HS, Naftolin F, Manson JE, Gleason CE, Brinton EA, Kling JM, Cedars MI, Dowling NM, Kantarci K, Harman SM. Lessons from KEEPS: the Kronos Early Estrogen Prevention Study. Climacteric 2020; 24:139-145. [PMID: 32880220 DOI: 10.1080/13697137.2020.1804545] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The Kronos Early Estrogen Prevention Study (KEEPS) was a randomized, double-blind, placebo-controlled trial designed to determine the effects of hormone treatments (menopausal hormone treatments [MHTs]) on the progression of carotid intima-medial thickness (CIMT) in recently menopausal women. Participants less than 3 years from menopause and without a history of overt cardiovascular disease (CVD), defined as no clinical CVD events and coronary artery calcium < 50 Agatston units, received either oral conjugated equine estrogens (0.45 mg/day) or transdermal 17β-estradiol (50 µg/day), both with progesterone (200 mg/day for 12 days/month), or placebo pills and patches for 4 years. Although MHT did not decrease the age-related increase in CIMT, KEEPS provided other important insights about MHT effects. Both MHTs versus placebo reduced the severity of menopausal symptoms and maintained bone density, but differed in efficacy regarding mood/anxiety, sleep, sexual function, and deposition of β-amyloid in the brain. Additionally, genetic variants in enzymes for metabolism and uptake of estrogen affected the efficacy of MHT for some aspects of symptom relief. KEEPS provides important information for use of MHT in clinical practice, including type, dose, and mode of delivery of MHT recently after menopause, and how genetic variants in hormone metabolism may affect MHT efficacy on specific outcomes.
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Affiliation(s)
- V M Miller
- Department of Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA.,Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - H S Taylor
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA
| | - F Naftolin
- Department of Obstetrics and Gynecology, New York University Grossman School of Medicine, New York, NY, USA
| | - J E Manson
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - C E Gleason
- Division of Geriatrics, Department of Medicine, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | | | - J M Kling
- Department of Internal Medicine, Division of Women's Health Internal Medicine, Mayo Clinic, AZ, USA
| | - M I Cedars
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - N M Dowling
- Department of Acute & Chronic Care, School of Nursing, Department of Epidemiology & Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington DC, USA
| | - K Kantarci
- Department of Radiology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - S M Harman
- Kronos Longevity Research Institute, Phoenix, AZ, USA.,Phoenix Veterans Administration Health Care System, Phoenix, AZ, USA
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Miller KB, Fields JA, Harvey RE, Lahr BD, Bailey KR, Joyner MJ, Miller VM, Barnes JN. Aortic Hemodynamics and Cognitive Performance in Postmenopausal Women: Impact of Pregnancy History. Am J Hypertens 2020; 33:756-764. [PMID: 32421781 PMCID: PMC7402228 DOI: 10.1093/ajh/hpaa081] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 04/25/2020] [Accepted: 05/12/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Studies demonstrate an association between aortic hemodynamics and cognitive function. The impact of pregnancy history on this association is unknown. METHODS Postmenopausal women (age 59 ± 5 years; years since last pregnancy 35 ± 3) with either a history of preeclampsia (PE; n = 34) or a history of a normotensive pregnancy (NP; n = 30) underwent cognitive testing: Letter-Number Sequencing, Digit Span, Trail Making Test, and letter and category fluency. Applanation tonometry was used to derive aortic systolic and diastolic blood pressure and augmentation index. RESULTS Distribution of cognitive scores and aortic hemodynamic measures was similar between the PE and NP groups. Principal component (PC) analysis was used to reduce the 3 aortic hemodynamic measures and the 5 cognitive variables to single summary indices, each representing a weighted average of their respective constituent variables. Using a multivariable linear model based on these PCs that adjusted for pregnancy history and body mass index, the composite index of aortic hemodynamics was associated with the summary cognitive index, whether taking into account a potential interaction with pregnancy history (P = 0.035) or not (P = 0.026) (interaction P = 0.178). Multivariable modeling of individual cognitive tests revealed a differential association for letter fluency by pregnancy history (test for interaction P = 0.023); this score correlated with the aortic hemodynamic index in the PE (partial R2 = 0.20), but not the NP (partial R2 = 0.00) group. CONCLUSIONS Elevated aortic hemodynamics may negatively impact cognitive function in postmenopausal women with specific executive functions, such as letter fluency, being impacted more by a pregnancy history of PE.
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Affiliation(s)
- Kathleen B Miller
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ronée E Harvey
- Department of Internal Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Brian D Lahr
- Department of Health Science Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Kent R Bailey
- Department of Health Science Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Michael J Joyner
- Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Virginia M Miller
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA
- Department of Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Jill N Barnes
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
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Kling JM, Miller VM, Tosakulwong N, Lesnick T, Kantarci K. Associations of pituitary-ovarian hormones and white matter hyperintensities in recently menopausal women using hormone therapy. Menopause 2020; 27:872-878. [PMID: 32520900 PMCID: PMC7678409 DOI: 10.1097/gme.0000000000001557] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Little is known about how menopausal hormone treatment (HT) may influence the development of white matter hyperintensities (WMHs) in the brain. This study evaluated the associations of changes in levels of pituitary-ovarian hormones during HT and changes in WMH. METHODS Women (n = 78 adherent to treatment) enrolled in the Kronos Early Estrogen Prevention Study underwent brain magnetic resonance imaging, and blood collection before and after 48 months of randomization to 0.45 mg/d oral conjugated equine estrogen (oCEE) daily, 50 μg/d transdermal 17β estradiol (tE2), or placebo pills and patches. Women in the active treatment groups also received oral 200 mg/d micronized progesterone the first 12 days of the month. Estradiol (E2), estrone (E1), follicle-stimulating hormone (FSH), and luteinizing hormone (LH) were measured in serum by high sensitivity liquid chromatography/mass spectrometry at baseline and following 48 months of HT. Longitudinal change in WMH volume was determined from fluid-attenuated inversion recovery magnetic resonance imaging using a semiautomated image segmentation algorithm. RESULTS Serum levels of FSH, LH, E1, or E2 did not associate with WMH volume at baseline. After 48 months of treatment, smaller increases in WMH associated with decreases in FSH from baseline in the tE2 group and increases in E1 in both tE2 and oCEE groups. Changes in LH did not associate with changes in WMH in any group. CONCLUSIONS Circulating levels of pituitary-ovarian hormones associate with changes in WMH volume in recently menopausal women using HT. Whether these relationships would be influenced by different doses of tE2 or oCEE remains to be determined. : Video Summary:http://links.lww.com/MENO/A590.
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Affiliation(s)
- Juliana M Kling
- Division of Women's Health Internal Medicine, Mayo Clinic, Scottsdale, AZ, 13737 North 92nd Street, Scottsdale, AZ 85260
| | - Virginia M Miller
- Departments of Surgery and Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN
| | | | - Timothy Lesnick
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
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Miller VM, Jayachandran M, Barnes JN, Mielke MM, Kantarci K, Rocca WA. Risk factors of neurovascular ageing in women. J Neuroendocrinol 2020; 32:e12777. [PMID: 31397036 PMCID: PMC6982564 DOI: 10.1111/jne.12777] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 07/24/2019] [Accepted: 08/06/2019] [Indexed: 12/14/2022]
Abstract
Biological sex and changes in sex hormones throughout life influence all aspects of health and disease. In women, changes in sex hormonal status reflect ovarian function, pregnancy and the use of exogenous hormonal treatments. Longitudinal data from defined cohorts of women will help to identify mechanisms by which the hormonal milieu contributes to cerebrovascular ageing, brain structure and ultimately cognition. This review summarises the phenotypes of three cohorts of women identified through the medical records-linkage system of the Rochester Epidemiology Project and the Mayo Clinic Specialized Center of Research Excellence (SCORE) on Sex Differences: (i) menopausal women with histories of normotensive or hypertensive pregnancies; (ii) women who had bilateral oophorectomy ≤45 years of age; and (iii) women who experienced natural menopause and used menopausal hormone treatments for 4 years. Data from these cohorts will influence the design of follow-up studies concerning how sex hormonal status affects neurovascular ageing in women.
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Affiliation(s)
- Virginia M. Miller
- Departments of Surgery and Physiology and Biomedical EngineeringMayo ClinicRochesterMNUSA
| | - Muthuvel Jayachandran
- Department of Physiology and Biomedical EngineeringMayo ClinicRochesterMNUSA
- Division of Nephrology and Hematology ResearchDepartment of Internal MedicineMayo ClinicRochesterMNUSA
| | - Jill N. Barnes
- Department of KinesiologyUniversity of Wisconsin‐MadisonMadisonWIUSA
| | - Michelle M. Mielke
- Division of EpidemiologyDepartment of Health Sciences Research and Department of NeurologyMayo ClinicRochesterMNUSA
| | | | - Walter A. Rocca
- Division of EpidemiologyDepartment of Health Sciences Research and Department of NeurologyMayo ClinicRochesterMNUSA
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Blanken AE, Nation DA. Does Gender Influence the Relationship Between High Blood Pressure and Dementia? Highlighting Areas for Further Investigation. J Alzheimers Dis 2020; 78:23-48. [PMID: 32955459 PMCID: PMC8011824 DOI: 10.3233/jad-200245] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Gender differences have been noted in studies linking blood pressure to all-cause dementia, and the two most common forms of dementia: Alzheimer's disease (AD) and vascular dementia (VaD). However, how gender modifies the relationship between blood pressure and dementia remains unclear. OBJECTIVE To review evidence for a gender modifying effect on the link between blood pressure and all-cause dementia. METHODS A systematic review was conducted according to PRISMA guidelines. Sixteen out of 256 reviewed articles met inclusion criteria. RESULTS For women, higher midlife systolic blood pressure (SBP) and hypertension were both associated with greater risk of all-cause dementia, AD, and VaD, in six out of seven studies. Two of these studies reported higher midlife SBP/hypertension were associated with greater risk for all-cause dementia in women, but not men. One study reported higher midlife SBP associated with greater AD risk in women, but not men. However, another study reported that midlife hypertension associated with AD risk in men, but not women. No clear gender differences were reported in the relationship between late-life high blood pressure/hypertension with all-cause dementia or AD. CONCLUSION Studies rarely, and inconsistently, analyzed or reported gender effects. Therefore, interpretation of available evidence regarding the role of gender in blood pressure associated dementia was difficult. Several studies indicated higher midlife SBP was associated with greater risk of all-cause dementia for women, compared to men. Future studies should evaluate women-specific aging processes that occur in midlife when considering the association between blood pressure and dementia risk.
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Affiliation(s)
- Anna E. Blanken
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Daniel A. Nation
- Department of Psychological Science, University of California Irvine, Irvine, CA, USA
- Institute for Memory Disorders and Neurological Impairments, University of California Irvine, Irvine, CA, USA
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Kandil H, Soliman A, Taher F, Ghazal M, Khalil A, Giridharan G, Keynton R, Jennings JR, El-Baz A. A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations. NEUROIMAGE-CLINICAL 2019; 25:102107. [PMID: 31830715 PMCID: PMC6926373 DOI: 10.1016/j.nicl.2019.102107] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 10/31/2019] [Accepted: 11/19/2019] [Indexed: 01/21/2023]
Abstract
3-D CNN segmentation succeeded in delineating cerebrovasculature accurately. Segmentation approach is automatic and applicable on healthy/pathological vessels. Blood flow variability challenge was addressed by processing MRA scans locally. Proposed vascular features were efficient to quantify cerebral changes. Proposed CAD system could help clinicians predict hypertension before its onset.
Hypertension is a leading cause of mortality in the USA. While simple tools such as the sphygmomanometer are widely used to diagnose hypertension, they could not predict the disease before its onset. Clinical studies suggest that alterations in the structure of human brains’ cerebrovasculature start to develop years before the onset of hypertension. In this research, we present a novel computer-aided diagnosis (CAD) system for the early detection of hypertension. The proposed CAD system analyzes magnetic resonance angiography (MRA) data of human brains to detect and track the cerebral vascular alterations and this is achieved using the following steps: i) MRA data are preprocessed to eliminate noise effects, correct the bias field effect, reduce the contrast inhomogeneity using the generalized Gauss-Markov random field (GGMRF) model, and normalize the MRA data, ii) the cerebral vascular tree of each MRA volume is segmented using a 3-D convolutional neural network (3D-CNN), iii) cerebral features in terms of diameters and tortuosity of blood vessels are estimated and used to construct feature vectors, iv) feature vectors are then used to train and test various artificial neural networks to classify data into two classes; normal and hypertensive. A balanced data set of 66 subjects were used to test the CAD system. Experimental results reported a classification accuracy of 90.9% which supports the efficacy of the CAD system components to accurately model and discriminate between normal and hypertensive subjects. Clinicians would benefit from the proposed CAD system to detect and track cerebral vascular alterations over time for people with high potential of developing hypertension and to prepare appropriate treatment plans to mitigate adverse events.
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Affiliation(s)
- Heba Kandil
- Bioimaging Laboratory, J.B Speed School of Engineering, University of Louisville, KY, USA; Information Technology Department, Faculty of Computer Science and Information, Mansoura University, Egypt
| | - Ahmed Soliman
- Bioimaging Laboratory, J.B Speed School of Engineering, University of Louisville, KY, USA
| | | | - Mohammed Ghazal
- Electrical and Computer Engineering Department, Abu Dhabi University, UAE
| | - Ashraf Khalil
- Electrical and Computer Engineering Department, Abu Dhabi University, UAE
| | - Guruprasad Giridharan
- Bioimaging Laboratory, J.B Speed School of Engineering, University of Louisville, KY, USA
| | - Robert Keynton
- Bioimaging Laboratory, J.B Speed School of Engineering, University of Louisville, KY, USA
| | - J Richard Jennings
- Department of Psychiatry and Psychology, University of Pittsburgh, PA, USA
| | - Ayman El-Baz
- Bioimaging Laboratory, J.B Speed School of Engineering, University of Louisville, KY, USA.
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13
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Abstract
Purpose of Review Risks for developing cardiovascular disease and cognitive decline increase with age. In women, these risks may be influenced by pregnancy history. This review provides an integrated evaluation of associations of pregnancy history with hypertension, brain atrophy, and cognitive decline in postmenopausal women. Recent Findings Atrophy in the occipital lobes of the brain was evident in women who had current hypertension and a history of preeclampsia. Deficits in visual memory in women with a history of preeclampsia are consistent with these brain structural changes. The blood velocity response to chemical and sympathoexcitatory stimuli were altered in women with a history of preeclampsia linking impairments in cerebrovascular regulation to the structural and functional changes in the brain. Summary Having a history of preeclampsia should require close monitoring of blood pressure and initiation of anti-hypertensive treatment in perimenopausal women. Mechanisms by which preeclampsia affects cerebrovascular structure and function require additional study.
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Affiliation(s)
- Kathleen B Miller
- Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, USA
| | - Virginia M Miller
- Department of Surgery, Mayo Clinic, Medical Sci Bldg 421, 200 First St SW, Rochester, MN, 55905, USA.
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Medical Sci Bldg 421, 200 First St SW, Rochester, MN, 55905, USA.
| | - Jill N Barnes
- Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, USA
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14
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Miller VM, Naftolin F, Asthana S, Black DM, Brinton EA, Budoff MJ, Cedars MI, Dowling NM, Gleason CE, Hodis HN, Jayachandran M, Kantarci K, Lobo RA, Manson JE, Pal L, Santoro NF, Taylor HS, Harman SM. The Kronos Early Estrogen Prevention Study (KEEPS): what have we learned? Menopause 2019; 26:1071-1084. [PMID: 31453973 PMCID: PMC6738629 DOI: 10.1097/gme.0000000000001326] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 12/20/2018] [Accepted: 12/20/2018] [Indexed: 12/19/2022]
Abstract
OBJECTIVE The Kronos Early Estrogen Prevention Study (KEEPS) was designed to address gaps in understanding the effects of timely menopausal hormone treatments (HT) on cardiovascular health and other effects of menopause after the premature termination of the Women's Health Initiative. METHOD The KEEPS was a randomized, double-blinded, placebo-controlled trial to test the hypothesis that initiation of HT (oral conjugated equine estrogens [o-CEE] or transdermal 17β-estradiol [t-E2]) in healthy, recently postmenopausal women (n = 727) would slow the progression of atherosclerosis as measured by changes in carotid artery intima-media thickness (CIMT). RESULTS After 4 years, neither HT affected the rate of increase in CIMT. There was a trend for reduced accumulation of coronary artery calcium with o-CEE. There were no severe adverse effects, including venous thrombosis. Several ancillary studies demonstrated a positive effect on mood with o-CEE, and reduced hot flashes, improved sleep, and maintenance of bone mineral density with both treatments. Sexual function improved with t-E2. There were no significant effects of either treatment on cognition, breast pain, or skin wrinkling. Variants of genes associated with estrogen metabolism influenced the age of menopause and variability in effects of the HT on CIMT. Platelet activation associated with the development of white matter hyperintensities in the brain. CONCLUSIONS KEEPS and its ancillary studies have supported the value and safety of the use of HT in recently postmenopausal women and provide a perspective for future research to optimize HT and health of postmenopausal women. The KEEPS continuation study continues to pursue these issues.
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Affiliation(s)
- Virginia M. Miller
- Departments of Surgery and Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN
| | - Fredrick Naftolin
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY
| | - Sanjay Asthana
- Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, University of Wisconsin School of Medicine and Public Health and the Geriatric Research, Madison, WI
| | - Dennis M. Black
- Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, CA
| | | | - Matthew J. Budoff
- Department of Medicine, Los Angeles Biomedical Research Institute at Harbor-University of California Los Angeles, Torrance, CA
| | - Marcelle I. Cedars
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA
| | - N. Maritza Dowling
- Departments of Acute and Chronic Care, Epidemiology and Biostatistics, George Washington University School of Nursing and Milken Institute School of Public Health, Washington, DC
| | - Carey E. Gleason
- Division of Geriatrics, Department of Medicine, University of Wisconsin School of Medicine and Public Health and the William S. Middleton Memorial VA, Geriatric Research, Education and Clinical Center, Madison, WI
| | - Howard N. Hodis
- Atherosclerosis Research Unit, University of Southern California, Los Angeles, CA
| | - Muthuvel Jayachandran
- Department of Physiology and Biomedical Engineering, Division of Nephrology and Hypertension, Division of Hematology Research, Mayo Clinic, Rochester, MN
| | | | - Rogerio A. Lobo
- Department of Obstetrics and Gynecology, Columbia University, New York, NY
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Lubna Pal
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT
| | - Nanette F. Santoro
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO
| | - Hugh S. Taylor
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT
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15
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Kandil H, Soliman A, Ghazal M, Mahmoud A, Shalaby A, Keynton R, Elmaghraby A, Giridharan G, El-Baz A. A Novel Framework for Early Detection of Hypertension using Magnetic Resonance Angiography. Sci Rep 2019; 9:11105. [PMID: 31366941 PMCID: PMC6668478 DOI: 10.1038/s41598-019-47368-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 07/11/2019] [Indexed: 11/16/2022] Open
Abstract
Hypertension is a leading mortality cause of 410,000 patients in USA. Cerebrovascular structural changes that occur as a result of chronically elevated cerebral perfusion pressure are hypothesized to precede the onset of systemic hypertension. A novel framework is presented in this manuscript to detect and quantify cerebrovascular changes (i.e. blood vessel diameters and tortuosity changes) using magnetic resonance angiography (MRA) data. The proposed framework consists of: 1) A novel adaptive segmentation algorithm to delineate large as well as small blood vessels locally using 3-D spatial information and appearance features of the cerebrovascular system; 2) Estimating the cumulative distribution function (CDF) of the 3-D distance map of the cerebrovascular system to quantify alterations in cerebral blood vessels' diameters; 3) Calculation of mean and Gaussian curvatures to quantify cerebrovascular tortuosity; and 4) Statistical and correlation analyses to identify the relationship between mean arterial pressure (MAP) and cerebral blood vessels' diameters and tortuosity alterations. The proposed framework was validated using MAP and MRA data collected from 15 patients over a 700-days period. The novel adaptive segmentation algorithm recorded a 92.23% Dice similarity coefficient (DSC), a 94.82% sensitivity, a 99.00% specificity, and a 10.00% absolute vessels volume difference (AVVD) in delineating cerebral blood vessels from surrounding tissues compared to the ground truth. Experiments demonstrated that MAP is inversely related to cerebral blood vessel diameters (p-value < 0.05) globally (over the whole brain) and locally (at circle of Willis and below). A statistically significant direct correlation (p-value < 0.05) was found between MAP and tortuosity (medians of Gaussian and mean curvatures, and average of mean curvature) globally and locally (at circle of Willis and below). Quantification of the cerebrovascular diameter and tortuosity changes may enable clinicians to predict elevated blood pressure before its onset and optimize medical treatment plans of pre-hypertension and hypertension.
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Affiliation(s)
- Heba Kandil
- Bioimaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, 40292, USA
- Computer Engineering and Computer Science Department, University of Louisville, Louisville, KY, USA
- Faculty of Computer Science and Information, Information Technology Department, Mansoura University, Mansoura, 35516, Egypt
| | - Ahmed Soliman
- Bioimaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, 40292, USA
| | - Mohammed Ghazal
- Electrical and Computer Engineering Department, University of Abu Dhabi, Abu Dhabi, UAE
| | - Ali Mahmoud
- Bioimaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, 40292, USA
| | - Ahmed Shalaby
- Bioimaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, 40292, USA
| | - Robert Keynton
- Bioimaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, 40292, USA
| | - Adel Elmaghraby
- Computer Engineering and Computer Science Department, University of Louisville, Louisville, KY, USA
| | - Guruprasad Giridharan
- Bioimaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, 40292, USA
| | - Ayman El-Baz
- Bioimaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, 40292, USA.
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16
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Abstract
The number of adults with Alzheimer’s disease (AD) or related dementia is expected to increase exponentially. Interventions aimed to reduce the risk and progression of AD and dementia are critical to the prevention and treatment of this devastating disease. Aging and cardiovascular disease risk factors are associated with reduced vascular function, which can have important clinical implications, including brain health. The age-associated increase in blood pressure and impairment in vascular function may be attenuated or even reversed through lifestyle behaviors. Greater volumes of habitual exercise and higher cardiorespiratory fitness are associated with beneficial effects on vascular health and cognition. Exercise and cardiorespiratory fitness may be most important during midlife, as physical activity and cardiorespiratory fitness during the middle-aged years are associated with future cognitive function. The extent to which exercise, and more specifically aerobic exercise, influences the cerebral circulation is not well established. In this review, we present our working hypothesis showing how cerebrovascular function may be a mediating factor underlying the association between exercise and cognition, as well as discuss recent studies evaluating the effect of exercise interventions on the cerebral circulation.
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Affiliation(s)
- Jill N Barnes
- Department of Kinesiology, Bruno Balke Biodynamics Laboratory, University of Wisconsin-Madison, Madison, WI, USA.,Department of Medicine, Division of Geriatrics and Gerontology, University of Wisconsin-Madison, Madison, WI, USA
| | - Adam T Corkery
- Department of Kinesiology, Bruno Balke Biodynamics Laboratory, University of Wisconsin-Madison, Madison, WI, USA
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17
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Hashimoto J, Westerhof BE, Ito S. Carotid Flow Augmentation, Arterial Aging, and Cerebral White Matter Hyperintensities. Arterioscler Thromb Vasc Biol 2018; 38:2843-2853. [DOI: 10.1161/atvbaha.118.311873] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Objective—
Aortic stiffness and pressure wave reflection are associated with age-related cerebral microvascular disease, but the underlying mechanism remains obscure. We hypothesized that cerebral (carotid) flow alterations potentially mediate these associations.
Approach and Results—
Doppler waveforms were recorded in 286 patients with hypertension to measure the carotid flow augmentation index (FAIx) as the late/early-systolic velocity amplitude ratio. Tonometric waveforms were recorded to estimate the aortic pressure AIx (PAIx), aortic compliance, and carotid-femoral and carotid-radial pulse wave velocities. Additionally, white matter hyperintensities on brain magnetic resonance imaging were evaluated using the Fazekas scale. With increasing age, the carotid late systolic velocity increased, whereas the early systolic velocity decreased, although the aortic augmented pressure increased in parallel with the incident wave height (
P
<0.001). Both FAIx and PAIx increased with age, but the age-dependent curves were upwardly concave and convex, respectively. FAIx increased exponentially with increasing PAIx (
r
=0.71). Compared with PAIx, FAIx was more closely (
P
≤0.001) correlated with the aortic pulse wave velocity, aortic compliance, and elastic/muscular pulse wave velocity ratio. FAIx was associated with white matter hyperintensities scores independently of confounders including age, sex, diabetes mellitus, hypercholesterolemia, and aortic pulse wave velocity (
P
=0.01), and was more predictive of white matter hyperintensities presence than PAIx.
Conclusions—
Carotid FAIx had closer associations with age, aortic stiffness, and cerebral white matter hyperintensities than aortic PAIx. These results indicate that carotid flow augmentation (enhanced by aortic stiffening and pressure wave reflection from the lower body) causes microcerebrovascular injury potentially through increasing cerebral flow pulsations, but this detrimental effect is greater than that estimated from PAIx.
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Affiliation(s)
- Junichiro Hashimoto
- From the Medical Center, Miyagi University of Education, Sendai, Japan (J.H.)
- Division of Nephrology, Endocrinology, and Vascular Medicine, Department of Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan (J.H., S.I.)
| | - Berend E. Westerhof
- Department of Pulmonary Diseases, VU University Medical Center, Amsterdam, The Netherlands (B.E.W.)
| | - Sadayoshi Ito
- Division of Nephrology, Endocrinology, and Vascular Medicine, Department of Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan (J.H., S.I.)
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18
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Miller KB, Howery AJ, Harvey RE, Eldridge MW, Barnes JN. Cerebrovascular Reactivity and Central Arterial Stiffness in Habitually Exercising Healthy Adults. Front Physiol 2018; 9:1096. [PMID: 30174609 PMCID: PMC6107836 DOI: 10.3389/fphys.2018.01096] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 07/23/2018] [Indexed: 12/28/2022] Open
Abstract
Reduced cerebrovascular reactivity to a vasoactive stimulus is associated with age-related diseases such as stroke and cognitive decline. Habitual exercise is protective against cognitive decline and is associated with reduced stiffness of the large central arteries that perfuse the brain. In this context, we evaluated the age-related differences in cerebrovascular reactivity in healthy adults who habitually exercise. In addition, we sought to determine the association between central arterial stiffness and cerebrovascular reactivity. We recruited 22 young (YA: age = 27 ± 5 years, range 18–35 years) and 21 older (OA: age = 60 ± 4 years, range 56–68 years) habitual exercisers who partake in at least 150 min of structured aerobic exercise each week. Middle cerebral artery velocity (MCAv) was recorded using transcranial Doppler ultrasound. In order to assess cerebrovascular reactivity, MCAv, end-tidal carbon dioxide (ETCO2), and mean arterial pressure (MAP) were continuously recorded at rest and during stepwise elevations of 2, 4, and 6% inhaled CO2. Cerebrovascular conductance index (CVCi) was calculated as MCAv/MAP. Central arterial stiffness was assessed using carotid–femoral pulse wave velocity (PWV). Older adults had higher PWV (YA: 6.2 ± 1.2 m/s; OA: 7.5 ± 1.3 m/s; p < 0.05) compared with young adults. MCAv and CVCi reactivity to hypercapnia were not different between young and older adults (MCAv reactivity, YA: 2.0 ± 0.2 cm/s/mmHg; OA: 2.0 ± 0.2 cm/s/mmHg; p = 0.77, CVCi reactivity, YA: 0.018 ± 0.002 cm/s/mmHg2; OA: 0.015 ± 0.001 cm/s/mmHg2; p = 0.27); however, older adults demonstrated higher MAP reactivity to hypercapnia (YA: 0.4 ± 0.1 mmHg/mmHg; OA: 0.7 ± 0.1 mmHg/mmHg; p < 0.05). There were no associations between PWV and cerebrovascular reactivity (range: r = 0.00–0.39; p = 0.07–0.99). Our results demonstrate that cerebrovascular reactivity was not different between young and older adults who habitually exercise; however, MAP reactivity was augmented in older adults. This suggests an age-associated difference in the reliance on MAP to increase cerebral blood flow during hypercapnia.
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Affiliation(s)
- Kathleen B Miller
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Anna J Howery
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Ronée E Harvey
- Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, United States
| | - Marlowe W Eldridge
- Division of Critical Care, Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.,John Rankin Laboratory of Pulmonary Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Jill N Barnes
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
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19
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Kantarci K, Tosakulwong N, Lesnick TG, Zuk SM, Lowe VJ, Fields JA, Gunter JL, Senjem ML, Settell ML, Gleason CE, Shuster LT, Bailey KR, Dowling NM, Asthana S, Jack CR, Rocca WA, Miller VM. Brain structure and cognition 3 years after the end of an early menopausal hormone therapy trial. Neurology 2018; 90:e1404-e1412. [PMID: 29661902 PMCID: PMC5902783 DOI: 10.1212/wnl.0000000000005325] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 01/18/2018] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE The effects of 2 frequently used formulations of menopausal hormone therapy (mHT) on brain structure and cognition were investigated 3 years after the end of a randomized, placebo-controlled trial in recently menopausal women with good cardiovascular health. METHODS Participants (aged 42-56 years; 5-36 months past menopause) were randomized to one of the following: 0.45 mg/d oral conjugated equine estrogen (oCEE); 50 μg/d transdermal 17β-estradiol (tE2); or placebo pills and patch for 4 years. Oral progesterone (200 mg/d) was given to mHT groups for 12 days each month. MRIs were performed at baseline, at the end of 4 years of mHT, and 3 years after the end of mHT (n = 75). A subset of participants also underwent Pittsburgh compound B-PET (n = 68). RESULTS Ventricular volumes increased more in the oCEE group compared to placebo during the 4 years of mHT, but the increase in ventricular volumes was not different from placebo 3 years after the discontinuation of mHT. Increase in white matter hyperintensity volume was similar in the oCEE and tE2 groups, but it was statistically significantly greater than placebo only in the oCEE group. The longitudinal decline in dorsolateral prefrontal cortex volumes was less in the tE2 group compared to placebo, which correlated with lower cortical Pittsburgh compound B uptake. Rates of global cognitive change in mHT groups were not different from placebo. CONCLUSIONS The effects of oCEE on global brain structure during mHT subside after oCEE discontinuation but white matter hyperintensities continue to increase. The relative preservation of dorsolateral prefrontal cortical volume in the tE2 group over 7 years indicates that mHT may have long-term effects on the brain. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that the rates of change in global brain volumes and cognitive function in recently menopausal women receiving mHT (tE2 or oCEE) were not significantly different from women receiving placebo, as measured 3 years after exposure to mHT.
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Affiliation(s)
- Kejal Kantarci
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC.
| | - Nirubol Tosakulwong
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Timothy G Lesnick
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Samantha M Zuk
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Val J Lowe
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Julie A Fields
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Jeffrey L Gunter
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Matthew L Senjem
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Megan L Settell
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Carey E Gleason
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Lynne T Shuster
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Kent R Bailey
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - N Maritza Dowling
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Sanjay Asthana
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Clifford R Jack
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Walter A Rocca
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
| | - Virginia M Miller
- From the Departments of Radiology (K.K., S.M.Z., V.J.L., J.L.G., M.L. Senjem, M.L. Settell, C.R.J.), Health Sciences Research (N.T., T.G.L., K.R.B., W.A.R.), Psychology and Psychiatry (J.A.F.), Internal Medicine (L.T.S.), Neurology (W.A.R.), and Surgery and Physiology and Biomedical Engineering (V.M.M.), Mayo Clinic, Rochester, MN; Department of Medicine (C.E.G., S.A.), School of Medicine and Public Health, University of Wisconsin and Geriatric Research, Education and Clinical Center, William S. Middleton Memorial, Veterans Hospital, Madison, WI; and Department of Biostatistics (N.M.D.), George Washington University, Washington, DC
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20
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Barnes JN. Sex-specific factors regulating pressure and flow. Exp Physiol 2017; 102:1385-1392. [PMID: 28799254 DOI: 10.1113/ep086531] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 08/10/2017] [Indexed: 12/14/2022]
Abstract
NEW FINDINGS What is the topic of this review? There are sex- and sex-hormone-specific differences in autonomic control of blood pressure, central haemodynamics and cerebral blood flow. What advances does it highlight? Sex differences in autonomic control of blood pressure may underlie other sex-specific characteristics associated with cerebral blood flow, which can, in turn, affect tissue function. Over the last decade, there have been many published reports on sex differences in blood pressure regulation between young men and young women. The autonomic nervous system is a primary contributor to both acute and long-term blood pressure regulation. Sex differences in blood pressure regulation are likely to have effects that extend beyond mean arterial pressure and that can affect blood flow and tissue function. This short review includes recent literature from our laboratory focusing on autonomic control of the circulation, specifically age- and sex-hormone-related differences in central haemodynamics and cerebral blood flow, and discusses potential clinical implications.
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Affiliation(s)
- Jill N Barnes
- Bruno Balke Biodynamics Laboratory, Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, 53706, USA
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21
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Kamchatnov PR, Chugunov AV, Tyazhelnikov AA, Pyshkina LI. Pathogenesis of chronic disorders of cerebral circulation. Zh Nevrol Psikhiatr Im S S Korsakova 2017; 117:70-77. [DOI: 10.17116/jnevro201711712270-77] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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