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Gustafson D, Kalaria R, O'Brien J, van den Brink H, Hilal S, Marseglia A, ter Telgte A, Skoog I. VasCog 2023: 20 years of research on vascular behavioural and cognitive disorders. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 6:100224. [PMID: 38868624 PMCID: PMC11167242 DOI: 10.1016/j.cccb.2024.100224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 05/03/2024] [Indexed: 06/14/2024]
Abstract
This Commentary describes the 20th Anniversary of VasCog 2023, held in Gothenburg, Sweden.
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Affiliation(s)
- D.R. Gustafson
- Department of Neurology, State University of New York Downstate Health Sciences University, MSC 1213, 450 Clarkson Avenue, Brooklyn, NY 11203, USA
| | - R. Kalaria
- Translational and Clinical Research Institute, Newcastle University, United Kingdom
| | - J. O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, United Kingdom
| | - H. van den Brink
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - S. Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - A. Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - A. ter Telgte
- VASCage – Center on Clinical Stroke Research, Innsbruck, Austria
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - I. Skoog
- Center for Ageing and Health, Institute for Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Uchida K, Sugimoto T, Tange C, Nishita Y, Shimokata H, Saji N, Kuroda Y, Matsumoto N, Kishino Y, Ono R, Akisue T, Otsuka R, Sakurai T. Association between abdominal adiposity and cognitive decline in older adults: a 10-year community-based study. J Nutr Health Aging 2024; 28:100175. [PMID: 38308924 DOI: 10.1016/j.jnha.2024.100175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVES This study aimed to investigate the association between abdominal adiposity and change in cognitive function in community-dwelling older adults. DESIGN, SETTING, AND PARTICIPANTS This longitudinal study included older adults aged ≥60 years without cognitive impairment who participated in the National Institute for Longevity Sciences - Longitudinal Study of Aging. MEASUREMENTS Cognitive function was evaluated biennially using the Mini-Mental State Examination (MMSE) over 10 years. Waist circumference (WC) was measured at the naval level, and subcutaneous fat area (SFA) and visceral fat area (VFA) were assessed using baseline computed tomography scans. WC, SFA, and VFA areas were stratified into sex-adjusted tertiles. A linear mixed model was applied separately for men and women. RESULTS This study included 873 older adults. In men, the groups with the highest levels of WC, SFA, and VFA exhibited a greater decline in MMSE score than the groups with the lowest levels (β [95% confidence interval]: WC, -0.12 [-0.23 to -0.01]; SFA, -0.13 [-0.24 to -0.02]; VFA, -0.11 [-0.22 to -0.01]). In women, the group with the highest level of WC and SFA showed a greater decline in MMSE score than the group with the lowest level (WC, -0.12 [-0.25 to -0.01]; SFA, -0.18 [-0.30 to -0.06]), but VFA was not associated with cognitive decline. CONCLUSION Higher WC, SFA, and VFA in men and higher WC and SFA in women were identified as risk factors for cognitive decline in later life, suggesting that abdominal adiposity involved in cognitive decline may differ according to sex.
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Affiliation(s)
- Kazuaki Uchida
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan; Department of Rehabilitation Science, Graduate School of Health Sciences, Kobe University, Kobe, Hyogo 654-0142, Japan
| | - Taiki Sugimoto
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan; Center for Comprehensive Care and Research on Memory Disorders, Hospital, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan
| | - Chikako Tange
- Department of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan
| | - Yukiko Nishita
- Department of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan
| | - Hiroshi Shimokata
- Department of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan; Graduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Nisshin, Aichi 470-0196, Japan
| | - Naoki Saji
- Center for Comprehensive Care and Research on Memory Disorders, Hospital, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan
| | - Yujiro Kuroda
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan
| | - Nanae Matsumoto
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan
| | - Yoshinobu Kishino
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan; Department of Cognitive and Behavioral Science, Graduate School of Medicine, Nagoya University, Nagoya, Aichi 466-855, Japan
| | - Rei Ono
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Settsu, Osaka 566-0002, Japan; Department of Public Health, Graduate School of Health Sciences, Kobe University, Kobe, Hyogo 654-0142, Japan
| | - Toshihiro Akisue
- Department of Rehabilitation Science, Graduate School of Health Sciences, Kobe University, Kobe, Hyogo 654-0142, Japan
| | - Rei Otsuka
- Department of Epidemiology of Aging, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan
| | - Takashi Sakurai
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan; Department of Cognitive and Behavioral Science, Graduate School of Medicine, Nagoya University, Nagoya, Aichi 466-855, Japan; Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511, Japan.
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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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Kitzbichler MG, Martins D, Bethlehem RAI, Dear R, Romero-Garcia R, Warrier V, Seidlitz J, Dipasquale O, Turkheimer F, Cercignani M, Bullmore ET, Harrison NA. Two human brain systems micro-structurally associated with obesity. eLife 2023; 12:e85175. [PMID: 37861301 PMCID: PMC10688972 DOI: 10.7554/elife.85175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 10/05/2023] [Indexed: 10/21/2023] Open
Abstract
The relationship between obesity and human brain structure is incompletely understood. Using diffusion-weighted MRI from ∼30,000 UK Biobank participants, we test the hypothesis that obesity (waist-to-hip ratio, WHR) is associated with regional differences in two micro-structural MRI metrics: isotropic volume fraction (ISOVF), an index of free water, and intra-cellular volume fraction (ICVF), an index of neurite density. We observed significant associations with obesity in two coupled but distinct brain systems: a prefrontal/temporal/striatal system associated with ISOVF and a medial temporal/occipital/striatal system associated with ICVF. The ISOVF~WHR system colocated with expression of genes enriched for innate immune functions, decreased glial density, and high mu opioid (MOR) and other neurotransmitter receptor density. Conversely, the ICVF~WHR system co-located with expression of genes enriched for G-protein coupled receptors and decreased density of MOR and other receptors. To test whether these distinct brain phenotypes might differ in terms of their underlying shared genetics or relationship to maps of the inflammatory marker C-reactive Protein (CRP), we estimated the genetic correlations between WHR and ISOVF (rg = 0.026, P = 0.36) and ICVF (rg = 0.112, P < 9×10-4) as well as comparing correlations between WHR maps and equivalent CRP maps for ISOVF and ICVF (P<0.05). These correlational results are consistent with a two-way mechanistic model whereby genetically determined differences in neurite density in the medial temporal system may contribute to obesity, whereas water content in the prefrontal system could reflect a consequence of obesity mediated by innate immune system activation.
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Affiliation(s)
| | - Daniel Martins
- Institute of Psychiatry, Psychology and Neuroscience, King’s College LondonLondonUnited Kingdom
| | | | - Richard Dear
- Department of Psychiatry, University of CambridgeCambridgeUnited Kingdom
| | - Rafael Romero-Garcia
- Department of Psychiatry, University of CambridgeCambridgeUnited Kingdom
- Department of Medical Physiology and Biophysics, Instituto deBiomedicina de Sevilla (IBiS) HUVR/CSIC Universidad de Sevilla/CIBERSAM, ISCIIISevillaSpain
| | - Varun Warrier
- Department of Psychiatry, University of CambridgeCambridgeUnited Kingdom
- Department of Psychology, University of CambridgeCambridgeUnited States
| | - Jakob Seidlitz
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia and Penn MedicinePhiladelphiaUnited States
- Department of Child and Adolescent Psychiatry and Behavioral Science,The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Psychiatry, University of PennsylvaniaPhiladelphiaUnited States
| | - Ottavia Dipasquale
- Institute of Psychiatry, Psychology and Neuroscience, King’s College LondonLondonUnited Kingdom
| | - Federico Turkheimer
- Institute of Psychiatry, Psychology and Neuroscience, King’s College LondonLondonUnited Kingdom
| | - Mara Cercignani
- Brain Research Imaging Centre, Cardiff UniversityCardiffUnited Kingdom
| | - Edward T Bullmore
- Department of Psychiatry, University of CambridgeCambridgeUnited Kingdom
| | - Neil A Harrison
- Brain Research Imaging Centre, Cardiff UniversityCardiffUnited Kingdom
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Badji A, Youwakim J, Cooper A, Westman E, Marseglia A. Vascular cognitive impairment - Past, present, and future challenges. Ageing Res Rev 2023; 90:102042. [PMID: 37634888 DOI: 10.1016/j.arr.2023.102042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 08/29/2023]
Abstract
Vascular cognitive impairment (VCI) is a lifelong process encompassing a broad spectrum of cognitive disorders, ranging from subtle or mild deficits to prodromal and fully developed dementia, originating from cerebrovascular lesions such as large and small vessel disease. Genetic predisposition and environmental exposure to risk factors such as unhealthy lifestyles, hypertension, cardiovascular disease, and metabolic disorders will synergistically interact, yielding biochemical and structural brain changes, ultimately culminating in VCI. However, little is known about the pathological processes underlying VCI and the temporal dynamics between risk factors and disease mechanisms (biochemical and structural brain changes). This narrative review aims to provide an evidence-based summary of the link between individual vascular risk/disorders and cognitive dysfunction and the potential structural and biochemical pathophysiological processes. We also discuss some key challenges for future research on VCI. There is a need to shift from individual risk factors/disorders to comorbid vascular burden, identifying and integrating imaging and fluid biomarkers, implementing a life-course approach, considering possible neuroprotective influences of positive life exposures, and addressing biological sex at birth and gender differences. Finally, this review highlights the need for future researchers to leverage and integrate multidimensional data to advance our understanding of the mechanisms and pathophysiology of VCI.
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Affiliation(s)
- Atef Badji
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Jessica Youwakim
- Department of Pharmacology and Physiology, Université de Montréal, Montreal, QC, Canada; Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage (CIRCA), Montreal, QC, Canada; Groupe de Recherche sur la Signalisation Neuronal et la Circuiterie (SNC), Montreal, QC, Canada
| | - Alexandra Cooper
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Anna Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
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Vásquez E, Kuniholm MH, Appleton AA, Rubin LH, Adimora AA, Fischl MA, Fox E, Mack WJ, Holman S, Moran CA, Minkoff H, Plankey MW, Sharma A, Tien PC, Weber KM, Gustafson DR. Midlife body mass index, central adiposity and neuropsychological performance over 10 years in women living with and without HIV. Front Endocrinol (Lausanne) 2023; 14:1108313. [PMID: 37484940 PMCID: PMC10361616 DOI: 10.3389/fendo.2023.1108313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 06/09/2023] [Indexed: 07/25/2023] Open
Abstract
Background and objective Observations of overweight and obesity in association with neuropsychological performance (NP) vary over the adult life course depending on baseline levels, biological sex, age, race, temporality of measurements, and other factors. Therefore, similar published analyses across cohorts are inconsistent. In our sample of women living with HIV (WLWH) and women without HIV (WWOH), we conducted comparable analyses as those published in men with and without HIV. We examined cross-sectional and longitudinal associations between body mass index (BMI) and waist circumference (WC) and NP. Methods Four hundred thirty two 432 virologically-suppressed WLWH and 367 WWOH, ≥40 years in the Women's Interagency HIV Study (WIHS) with anthropometry and NP assessments every two years from 2009-2019 were included in the study. Demographically-adjusted T-scores were calculated for six NP domains: learning, memory, executive function, processing speed, attention and working memory, and motor function. Multivariable linear regression models stratified by HIV status were used to examine cross-sectional associations of BMI and WC by NP domain; repeated measures analyses assessed baseline BMI and WC in association with longitudinal change in NP. Covariates included sociodemographic, behavioral, and HIV-related characteristics. Results At baseline among all women, the median age was 45 years, 65% were Non-Latinx Black women, and 45% were obese women. Obese WLWH (BMI≥30.0 kg/m2) had poorer executive function (β=-2.27, 95%CI [-4.46, -0.07]) versus WLWH with healthy BMI (18.5-24.9 kg/m2). Longitudinally over ~8 years, obese versus overweight WWOH improved on memory (β=2.19, 95%CI [0.13, 4.26]), however overweight versus healthy WWOH experienced declining memory (β= -2.67, 95%CI [-5.40, -0.07]). Increasing WC was associated with declining executive, processing speed, and motor function (p's<0.05); an at-risk WC was associated with improved memory (β=1.81, 95%CI [0.19, 3.44]) among WWOH. Among WLWH, increasing BMI was associated with improved learning (β=0.07, 95%CI [0.00, 0.15]. Conclusion Our cross-sectional and longitudinal analyses evaluating the associations of BMI and WC and NP were mixed compared to previous reports. This illustrates the importance of sociodemographic characteristics, baseline levels of exposures and outcomes, HIV status, temporality of measurements, and other factors when evaluating aging HIV epidemiology study results.
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Affiliation(s)
- Elizabeth Vásquez
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health State University of New York, Rensselaer, NY, United States
| | - Mark H. Kuniholm
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health State University of New York, Rensselaer, NY, United States
| | - Allison A. Appleton
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health State University of New York, Rensselaer, NY, United States
| | - Leah H. Rubin
- Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
- Department of Psychology, Johns Hopkins University, Baltimore, MD, United States
- Department Epidemiology, Johns Hopkins University, Baltimore, MD, United States
| | - Ada A. Adimora
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Margaret A. Fischl
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Ervin Fox
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, United States
| | - Wendy J. Mack
- Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States
| | - Susan Holman
- Department of Medicine/STAR Program, State University of New York Health Sciences University, Brooklyn, NY, United States
| | - Caitlin Anne Moran
- Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States
- Grady Healthcare System, Infectious Diseases Program, Atlanta, United States
| | - Howard Minkoff
- Department of Neurology, State of New York Downstate Health Sciences University, Brooklyn, NY, United States
| | - Michael W. Plankey
- Department of Medicine, Georgetown University, Washington, DC, United States
| | - Anjali Sharma
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Phyllis C. Tien
- Department of Medicine, University of California, San Francisco, CA, United States
- Department of Veterans Affairs, San Francisco, CA, United States
| | - Kathleen M. Weber
- Cook County Health/Hektoen Institute of Medicine, Chicago, IL, United States
| | - Deborah R. Gustafson
- Department of Neurology, State of New York Downstate Health Sciences University, Brooklyn, NY, United States
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Kilpatrick LA, An HM, Pawar S, Sood R, Gupta A. Neuroimaging Investigations of Obesity: a Review of the Treatment of Sex from 2010. Curr Obes Rep 2023; 12:163-174. [PMID: 36933153 PMCID: PMC10250271 DOI: 10.1007/s13679-023-00498-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/15/2023] [Indexed: 03/19/2023]
Abstract
PURPOSE OF REVIEW To summarize the results of adult obesity neuroimaging studies (structural, resting-state, task-based, diffusion tensor imaging) published from 2010, with a focus on the treatment of sex as an important biological variable in the analysis, and identify gaps in sex difference research. RECENT FINDINGS Neuroimaging studies have shown obesity-related changes in brain structure, function, and connectivity. However, relevant factors such as sex are often not considered. We conducted a systematic review and keyword co-occurrence analysis. Literature searches identified 6281 articles, of which 199 met inclusion criteria. Among these, only 26 (13%) considered sex as an important variable in the analysis, directly comparing the sexes (n = 10; 5%) or providing single-sex/disaggregated data (n = 16, 8%); the remaining studies controlled for sex (n = 120, 60%) or did not consider sex in the analysis (n = 53, 27%). Synthesizing sex-based results, obesity-related parameters (e.g., body mass index, waist circumference, obese status) may be generally associated with more robust morphological alterations in men and more robust structural connectivity alterations in women. Additionally, women with obesity generally expressed increased reactivity in affect-related regions, while men with obesity generally expressed increased reactivity in motor-related regions; this was especially true under a fed state. The keyword co-occurrence analysis indicated that sex difference research was especially lacking in intervention studies. Thus, although sex differences in the brain associated with obesity are known to exist, a large proportion of the literature informing the research and treatment strategies of today has not specifically examined sex effects, which is needed to optimize treatment.
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Affiliation(s)
- Lisa A Kilpatrick
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Hyeon Min An
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Shrey Pawar
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Riya Sood
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA.
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA.
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA.
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8
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Tian Y, Li S, Yang Y, Cai X, Jing J, Wang S, Meng X, Mei L, Jin A, Yao D, Wei T, Wang Y, Pan Y, Wang Y. Associations of deep medullary veins with vascular risk factors, laboratory indicators, and cerebral small vessel disease: A population-based study. Brain Behav 2023; 13:e2974. [PMID: 37032510 PMCID: PMC10176017 DOI: 10.1002/brb3.2974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 02/08/2023] [Accepted: 03/10/2023] [Indexed: 04/11/2023] Open
Abstract
OBJECTIVE Deep medullary veins (DMVs) were not considered a typical marker of cerebral small vessel disease (CSVD) due to limited understanding of their involvement in pathology of CSVD. This study aimsto investigate potential vascular risk factors for DMVs and their associations with CSVD. METHODS In total, 1909 community-dwelling participants were included in this analysis. Demographic, clinical, laboratory, and imaging data were collected. DMV scores (0-18) werecalculated as the sum of bilateral frontal, parietal, and occipital regional scores using a semiquantitative visual scale (0-3). The presence, total burden, and imaging markers of CSVD were assessed. Linear regression analyses were conducted to explore potential vascular factors for DMV scores. Binary and ordinal logistic regression analyses were performed to investigate the associations of DMV scores with CSVD and its markers. RESULTS Mean age was 61.8 (SD 6.5) years, and 1027 (53.8%) of participants were men. The median DMV scores were14 (IQR 12-16). DMV scores wererelated to age, male sex, body mass index, diastolic blood pressure, hypercholesterolaemia, atrial fibrillation, current drinking, total cholesterol, triglycerides, low-density lipoprotein, hemoglobin A1c, leukocytes, lymphocytes, hemoglobin, and platelets (p < .05). DMV scores wereassociated with the presence and total burden of CSVD (Rothwell's scale), modified white matter hyperintensity burden, and enlarged perivascular spaces in centrum semiovale (p < .05). However, these associations between DMV scores and CSVD disappeared after adjusting for potential confounders. CONCLUSION Several conventional vascular factors were associated with DMVs. The relationship between DMVs and CSVD was vulnerable, suggesting decreased visible and discontinuous DMVs may differ mechanistically from traditional markers of CSVD.
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Affiliation(s)
- Yu Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xueli Cai
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dongxiao Yao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
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9
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Brain functional and structural magnetic resonance imaging of obesity and weight loss interventions. Mol Psychiatry 2023; 28:1466-1479. [PMID: 36918706 DOI: 10.1038/s41380-023-02025-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/16/2023]
Abstract
Obesity has tripled over the past 40 years to become a major public health issue, as it is linked with increased mortality and elevated risk for various physical and neuropsychiatric illnesses. Accumulating evidence from neuroimaging studies suggests that obesity negatively affects brain function and structure, especially within fronto-mesolimbic circuitry. Obese individuals show abnormal neural responses to food cues, taste and smell, resting-state activity and functional connectivity, and cognitive tasks including decision-making, inhibitory-control, learning/memory, and attention. In addition, obesity is associated with altered cortical morphometry, a lowered gray/white matter volume, and impaired white matter integrity. Various interventions and treatments including bariatric surgery, the most effective treatment for obesity in clinical practice, as well as dietary, exercise, pharmacological, and neuromodulation interventions such as transcranial direct current stimulation, transcranial magnetic stimulation and neurofeedback have been employed and achieved promising outcomes. These interventions and treatments appear to normalize hyper- and hypoactivations of brain regions involved with reward processing, food-intake control, and cognitive function, and also promote recovery of brain structural abnormalities. This paper provides a comprehensive literature review of the recent neuroimaging advances on the underlying neural mechanisms of both obesity and interventions, in the hope of guiding development of novel and effective treatments.
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10
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Sex-specific relationships between obesity, physical activity, and gray and white matter volume in cognitively unimpaired older adults. GeroScience 2023:10.1007/s11357-023-00734-4. [PMID: 36781598 PMCID: PMC10400512 DOI: 10.1007/s11357-023-00734-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 01/17/2023] [Indexed: 02/15/2023] Open
Abstract
Independently, obesity and physical activity (PA) influence cerebral structure in aging, yet their interaction has not been investigated. We examined sex differences in the relationships among PA, obesity, and cerebral structure in aging with 340 participants who completed magnetic resonance imaging (MRI) acquisition to quantify grey matter volume (GMV) and white matter volume (WMV). Height and weight were measured to calculate body mass index (BMI). A PA questionnaire was used to estimate weekly Metabolic Equivalents. The relationships between BMI, PA, and their interaction on GMV Regions of Interest (ROIs) and WMV ROIs were examined. Increased BMI was associated with higher GMV in females, an inverse U relationship was found between PA and GMV in females, and the interaction indicated that regardless of BMI greater PA was associated with enhanced GMV. Males demonstrated an inverse U shape between BMI and GMV, and in males with high PA and had normal weight demonstrated greater GMV than normal weight low PA revealed by the interaction. WMV ROIs had a linear relationship with moderate PA in females, whereas in males, increased BMI was associated with lower WMV as well as a positive relationship with moderate PA and WMV. Males and females have unique relationships among GMV, PA and BMI, suggesting sex-aggregated analyses may lead to biased or non-significant results. These results suggest higher BMI, and PA are associated with increased GMV in females, uniquely different from males, highlighting the importance of sex-disaggregated models. Future work should include other imaging parameters, such as perfusion, to identify if these differences co-occur in the same regions as GMV.
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11
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Marcinnò A, Gallo E, Roveta F, Boschi S, Grassini A, Rainero I, Rubino E. Decreased resistin plasmatic concentrations in patients with Alzheimer's disease: A case-control study. Heliyon 2022; 8:e11738. [PMID: 36439765 PMCID: PMC9694389 DOI: 10.1016/j.heliyon.2022.e11738] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 07/28/2022] [Accepted: 11/11/2022] [Indexed: 11/22/2022] Open
Abstract
Previous studies suggested a role for adipokines in ageing and in several age-related diseases. The purpose of our study was to further elucidate adipokines involvement in neurodegeneration, investigating adiponectin, leptin and resistin in Alzheimer's disease (AD) and Frontotemporal Dementia (FTD). We enrolled for the study 70 subjects: 26 AD, 21 FTD, and 23 with other neurological (but not neurodegenerative) conditions (CTR, control group). According to a standardized protocol, we measured adipokines plasmatic levels, blood parameters of glucidic and lipidic metabolism, ESR, cerebrospinal fluid (CSF) markers of neurodegeneration (beta-amyloid, total-Tau, phosphorylated-Tau) and anthropometric parameters. In comparison with control group, we found lower resistin concentrations in patients with dementia, and in particular in AD (p < 0.001). In multivariate analysis, AD relative risk was reduced by resistin, when controlling for sex, age and anthropometric/metabolic parameters (RR = 0.71, P < 0.0001). Considering CSF biomarkers, we found a direct correlation between resistin and Aβ1-42 CSF concentration in patients (p < 0.001, r = 0.50). Lower resistin characterized AD patients in our study and AD, but not FTD, diagnosis risk was found to be inversely associated with resistin when controlling for confounders. We hypothesize that resistin-linked metabolic profile has to be reconsidered and further investigated in AD. Adipose tissue has an endocrine function, releasing polypeptide hormones, the adipokines. Impairment of adipokines circulating levels has been shown in neurodegenerative dementias. We found lower resistin levels in Alzheimer's disease patients compared to control group. Resistin plasmatic levels correlated with liquoral amyloid β1-42 concentrations in dementia patients. Resistin could interact with amyloid β1-42 secretion and have a role in Alzheimer's disease pathogenesis.
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12
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García-García I, Michaud A, Jurado MÁ, Dagher A, Morys F. Mechanisms linking obesity and its metabolic comorbidities with cerebral grey and white matter changes. Rev Endocr Metab Disord 2022; 23:833-843. [PMID: 35059979 DOI: 10.1007/s11154-021-09706-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/14/2021] [Indexed: 02/07/2023]
Abstract
Obesity is a preventable risk factor for cerebrovascular disorders and it is associated with cerebral grey and white matter changes. Specifically, individuals with obesity show diminished grey matter volume and thickness, which seems to be more prominent among fronto-temporal regions in the brain. At the same time, obesity is associated with lower microstructural white matter integrity, and it has been found to precede increases in white matter hyperintensity load. To date, however, it is unclear whether these findings can be attributed solely to obesity or whether they are a consequence of cardiometabolic complications that often co-exist with obesity, such as low-grade systemic inflammation, hypertension, insulin resistance, or dyslipidemia. In this narrative review we aim to provide a comprehensive overview of the potential impact of obesity and a number of its cardiometabolic consequences on brain integrity, both separately and in synergy with each other. We also identify current gaps in knowledge and outline recommendations for future research.
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Affiliation(s)
- Isabel García-García
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Barcelona, Spain.
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.
| | | | - María Ángeles Jurado
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Alain Dagher
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Filip Morys
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
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13
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Obesity and Neurocognitive Performance of Memory, Attention, and Executive Function. NEUROSCI 2022. [DOI: 10.3390/neurosci3030027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: Obesity has been linked to an increased risk of dementia in the future. Obesity is known to affect core neural structures, such as the hippocampus, and frontotemporal parts of the brain, and is linked to memory, attention, and executive function decline. The overwhelming majority of the data, however, comes from high-income countries. In undeveloped countries, there is little evidence of a link between obesity and neurocognition. The aim of this study was to investigate the effects of BMI on the key cognitive functioning tasks of attention, memory, and executive function in a South African cohort. Methods: A total of 175 females (NW: BMI = 18.5–24.9 kg/m2 and OB: BMI > 30.0 kg/m2) aged 18–59 years (M = 28, SD = 8.87 years) completed tasks on memory, attention, and executive functioning. Results: There was a statistically significant difference between the groups. The participants who had a BMI corresponding with obesity performed poorly on the tasks measuring memory (p = 0.01), attention (p = 0.01), and executive function (p = 0.02) compared to the normal-weight group. Conclusions: When compared to normal-weight participants, the findings confirm the existence of lowered cognitive performance in obese persons on tasks involving planning, decision making, self-control, and regulation. Further research into the potential underlying mechanism by which obesity impacts cognition is indicated.
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14
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Langner SM, Terheyden JH, Geerling CF, Kindler C, Keil VCW, Turski CA, Turski GN, Behning C, Wintergerst MWM, Petzold GC, Finger RP. Structural retinal changes in cerebral small vessel disease. Sci Rep 2022; 12:9315. [PMID: 35662264 PMCID: PMC9166694 DOI: 10.1038/s41598-022-13312-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 05/16/2022] [Indexed: 01/11/2023] Open
Abstract
Cerebral small vessel disease (CSVD) is an important contributor to cognitive impairment and stroke. Previous research has suggested associations with alterations in single retinal layers. We have assessed changes of all individual retinal layers in CSVD using high-resolution optical coherence tomography (OCT) for the first time. Subjects with recent magnetic resonance imaging (MRI) underwent macular and peripapillary retinal imaging using OCT for this case-control study. Number and volume ratio index (WMRI) of white matter lesions (WML) were determined on MRI. Data were analyzed using multiple linear regression models. 27 CSVD patients and 9 control participants were included. Ganglion cell layer (GCL) volume was significantly reduced in patients with CSVD compared to age-matched controls (p = 0.008). In patients with CSVD, larger foveal outer plexiform layer (OPL) volume and decreased temporal peripapillary retinal nerve fiber layer (RNFL) thickness were significantly associated with a higher WMRI in linear regression when controlling for age (p ≤ 0.033). Decreased foveal GCL volume and temporal-inferior RNFL thickness at Bruch's membrane opening (MRW), and increased temporal MRW were associated with a higher WML burden (p ≤ 0.037). Thus, we identified alterations in several OCT layers in individuals with CSVD (GCL, OPL, MRW and RNFL). Their potential diagnostic value merits further study.
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Affiliation(s)
- S Magdalena Langner
- Department of Ophthalmology, University Hospital Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Germany
| | - Jan H Terheyden
- Department of Ophthalmology, University Hospital Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Germany
| | - Clara F Geerling
- Department of Ophthalmology, University Hospital Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Germany
| | - Christine Kindler
- Department of Neurology, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Vera C W Keil
- Department of Radiology, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Christopher A Turski
- Department of Ophthalmology, University Hospital Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Gabrielle N Turski
- Department of Ophthalmology, University Hospital Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Charlotte Behning
- Institute of Biomedical Statistics, Computer Science and Epidemiology, University Hospital Bonn, Bonn, Germany
| | | | - Gabor C Petzold
- Department of Neurology, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Division of Vascular Neurology, University Hospital Bonn, Bonn, Germany
| | - Robert P Finger
- Department of Ophthalmology, University Hospital Bonn, Ernst-Abbe-Str. 2, 53127, Bonn, Germany.
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15
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Zhang S, Wang Z, Liu P, Tuo Q, Cheng Y, Xu M, Wu Q, Lei P, Dai L, Kwapong WR, Tan M, Liu M. Development of cognition decline in non-acute symptomatic patients with cerebral small vessel disease: Non-Acute Symptomatic Cerebral Ischemia Registration study (NASCIR)-rationale and protocol for a prospective multicentre observational study. BMJ Open 2022; 12:e050294. [PMID: 35193901 PMCID: PMC8867377 DOI: 10.1136/bmjopen-2021-050294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Headaches, dizziness and memory loss of unspecific causes are the most common non-acute ischemia symptoms in the ageing population, which are often associated with cerebral small vessel disease (CSVD) imaging markers; however, there is insufficient evidence concerning their association with the development of cognitive decline. This study aims to investigate risk factors, clinical course, cerebral and retinal imaging changes, proteomics features of non-symptomatic ischaemia symptomatic patients with cognitive decline. METHODS AND ANALYSIS The Non-Acute Symptomatic Cerebral Ischemia Registration study is a multicentre, registry-based, prospective observational study, is designed to investigate the cognitive decline in non-acute ischaemia symptomatic patients. We will recruit 500 non-acute ischaemia symptomatic patients from four tertiary hospitals in China. For this study, non-acute ischaemia symptoms will be defined as headaches, dizziness and memory loss. Patients with headaches, dizziness or memory loss over 50 years of age will be included. Clinical features, cognitive assessment, cerebral and retinal imaging data, and a blood sample will be collected after recruitment. Patients will be followed up by structured telephone interviews at 1, 2, 3, 4, 5 years after recruitment. This study will improve our knowledge of the development of cognitive decline in non-acute ischaemia symptomatic patients and factors affecting the cognitive outcomes, which will eventually elucidate underlying pathways and mechanisms of cognitive decline in these patients and facilitate the optimisation of individualised interventions for its prevention and treatment. ETHICS AND DISSEMINATION Ethics approval is obtained from The Biomedical Research Ethics Committee of West China Hospital, Sichuan University (Reference No. 2016 (335)). We will present our findings at national and international conferences and peer-reviewed journals in stroke and neurology. TRIAL REGISTRATION NUMBER ChiCTR-COC-17013056.
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Affiliation(s)
- Shuting Zhang
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Zhetao Wang
- Department of Radiology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Peng Liu
- Department of Emergency, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Qingzhang Tuo
- State Key Laboratory of Biotherapy, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Yajun Cheng
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Mangmang Xu
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Qian Wu
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Peng Lei
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
- State Key Laboratory of Biotherapy, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Lunzhi Dai
- State Key Laboratory of Biotherapy, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - William Robert Kwapong
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Mingying Tan
- Outpatient Department, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Ming Liu
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
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16
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Macaluso F, Weber KM, Rubin LH, Dellinger E, Holman S, Minkoff H, Keating S, Merlin LR, Gustafson DR. Body Mass Index and Leptin Are Related to Cognitive Performance Over 10 Years in Women With and Without HIV Infection. J Clin Endocrinol Metab 2022; 107:e1126-e1135. [PMID: 34677589 PMCID: PMC8851924 DOI: 10.1210/clinem/dgab759] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT It is not yet understood whether people living with HIV infection have an increased risk of Alzheimers Disease and Related Dementias due to enhanced survivorship with highly effective antiretroviral therapies and/or increasing adiposity with aging. OBJECTIVE This work aimed to determine whether body mass index (BMI) and leptin were longitudinally associated over 10 years with neuropsychological performance (NP) among middle-aged women with HIV (WWH) vs without HIV. METHODS Women's Interagency HIV Study (WIHS) participants (301 WWH, 113 women without HIV from Brooklyn, New York City, and Chicago had baseline and 10-year BMI and fasting plasma leptin levels using commercial enzyme-linked immunosorbent assay (ng/mL); and demographically adjusted NP T scores (attention/working memory, executive function [EF], processing speed, memory, learning, verbal fluency, motor function, global) at 10-year follow-up. Multivariable linear regression analyses, stratified by HIV serostatus, examined associations between BMI, leptin, and NP. RESULTS Over 10 years, women (baseline age 39.8 ± 9.2 years, 73% Black, 73% WWH) transitioned from average overweight (29.1 ± 7.9) to obese (30.5 ± 7.9) BMI. Leptin increased 11.4 ± 26.4 ng/mL (P < .001). Higher baseline BMI and leptin predicted poorer 10-year EF among all women (BMI β = -6.97, 95% CI (-11.5 to -2.45) P = .003; leptin β = -1.90, 95% CI (-3.03 to -0.76), P = .001); higher baseline BMI predicted better memory performance (β = 6.35, 95% CI (1.96-10.7), P = .005). Greater 10-year leptin increase predicted poorer EF (P = .004), speed (P = .03), and verbal (P = .02) and global (P = 0.005) performance among all women, and WWH. Greater 10-year BMI increase predicted slower processing speed (P = .043) among all women; and among WWH, poorer EF (P = .01) and global (P = .04) performance. CONCLUSION In middle-aged WIHS participants, 10-year increases in BMI and leptin were associated with poorer performance across multiple NP domains among all women and WWH. Trajectories of adiposity measures over time may provide insight into the role of adipose tissue in brain health with aging.
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Affiliation(s)
- Francesca Macaluso
- College of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Kathleen M Weber
- Cook County Health/Hektoen Institute of Medicine, Chicago, Illinois, USA
| | - Leah H Rubin
- Departments of Neurology, Psychiatry, and Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Elaine Dellinger
- College of Medicine, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Susan Holman
- Department of Medicine/STAR Program, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Howard Minkoff
- Department of Obstetrics and Gynecology, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
- Maimonides Hospital, Brooklyn, New York, USA
| | - Sheila Keating
- GigaGen Medical Laboratory, San Francisco, California, USA
| | - Lisa R Merlin
- Department of Neurology, New York City Health and Hospitals/Kings County, Brooklyn, New York, USA
- Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Deborah R Gustafson
- Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
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17
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Whitehead SN, Bruno A, Burns JM, Carmichael ST, Csiszar A, Edwards JD, Elahi FM, Faraco G, Gould DB, Gustafson DR, Hachinski V, Rosenberg G, Sorond FA, Shih AY, Tse KH, Ungvari Z, Wilcock DM, Zuloaga KL, Barone FC. Expanding the horizon of research into the pathogenesis of the white matter diseases: Proceedings of the 2021 Annual Workshop of the Albert Research Institute for White Matter and Cognition. GeroScience 2022; 44:25-37. [PMID: 34606040 PMCID: PMC8488071 DOI: 10.1007/s11357-021-00461-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 12/14/2022] Open
Abstract
White matter pathologies are critically involved in the etiology of vascular cognitive impairment-dementia (VCID), Alzheimer's disease (AD), and Alzheimer's disease and related diseases (ADRD), and therefore need to be considered a treatable target ( Roseborough A, Hachinski V, Whitehead S. White matter degeneration - a treatable target? Roseborough et al. JAMA Neurol [Internet]. 2020 Apr 27;77(7):793-4, [1] . To help address this often-missed area of research, several workshops have been sponsored by the Leo and Anne Albert Charitable Trust since 2015, resulting in the incorporation of "The Albert Research Institute for White Matter and Cognition" in 2020. The first annual "Institute" meeting was held virtually on March 3-4, 2021. The Institute provides a forum and workspace for communication and support of the advancement of white matter science and research to better understand the evolution and prevention of dementia. It serves as a platform for young investigator development, to introduce new data and debate biology mechanisms and new ideas, and to encourage and support new research collaborations and directions to clarify how white matter changes, with other genetic and health risk factors, contribute to cognitive impairment. Similar to previous Albert Trust-sponsored workshops (Barone et al. in J Transl Med 14:1-14, [2]; Sorond et al. in GeroScience 42:81-96, [3]), established expert investigators were identified and invited to present. Opportunities to attend and present were also extended by invitation to talented research fellows and younger scientists. Also, updates on institute-funded research collaborations were provided and discussed. The summary that follows is a synopsis of topics and discussion covered in the workshop.
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Affiliation(s)
- Shawn N Whitehead
- Department of Anatomy and Cell Biology, Western University, London, ON, N6A 3K7, Canada.
| | - Askiel Bruno
- Department of Neurology, Medical College of Georgia at Augusta University, Augusta, GA, 30912, USA
| | - Jeffrey M Burns
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA
| | - S Thomas Carmichael
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA
| | - Anna Csiszar
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Jodi D Edwards
- University of Ottawa Heart Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, K1G 5Z3, Canada
| | - Fanny M Elahi
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Giuseppe Faraco
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Douglas B Gould
- Departments of Ophthalmology and Anatomy, and Institute for Human Genetics, School of Medicine, University of California, San Francisco, 94143, USA
| | - Deborah R Gustafson
- Department of Neurology, Section for NeuroEpidemiology, State University of New York Downstate Health Sciences University, New York, Brooklyn, 11203, USA
| | - Vladimir Hachinski
- Department of Clinical Neurological Sciences, Western University, London, ON, N6A 5C1, Canada
| | - Gary Rosenberg
- UNM Health Sciences Center, University of New Mexico, Albuquerque, NM, 87106, USA
| | | | - Andy Y Shih
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute; Department of Pediatrics; Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Kai Hei Tse
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Zoltan Ungvari
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Donna M Wilcock
- Sanders-Brown Center on Aging; Department of Neurology, Department of Behavioral Science, University of Kentucky, Lexington, KY, 40536, USA
| | - Kristen L Zuloaga
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY, 12208, USA
| | - Frank C Barone
- Department of Neurology, SUNY Downstate Health Sciences University, Brooklyn, NY, 11203, USA
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18
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Schindler LS, Subramaniapillai S, Barth C, van der Meer D, Pedersen ML, Kaufmann T, Maximov II, Linge J, Leinhard OD, Beck D, Gurholt TP, Voldsbekk I, Suri S, Ebmeier KP, Draganski B, Andreassen OA, Westlye LT, de Lange AMG. Associations between abdominal adipose tissue, reproductive span, and brain characteristics in post-menopausal women. Neuroimage Clin 2022; 36:103239. [PMID: 36451350 PMCID: PMC9668664 DOI: 10.1016/j.nicl.2022.103239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/06/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022]
Abstract
The menopause transition involves changes in oestrogens and adipose tissue distribution, which may influence female brain health post-menopause. Although increased central fat accumulation is linked to risk of cardiometabolic diseases, adipose tissue also serves as the primary biosynthesis site of oestrogens post-menopause. It is unclear whether different types of adipose tissue play diverging roles in female brain health post-menopause, and whether this depends on lifetime oestrogen exposure, which can have lasting effects on the brain and body even after menopause. Using the UK Biobank sample, we investigated associations between brain characteristics and visceral adipose tissue (VAT) and abdominal subcutaneous adipose tissue (ASAT) in 10,251 post-menopausal females, and assessed whether the relationships varied depending on length of reproductive span (age at menarche to age at menopause). To parse the effects of common genetic variation, we computed polygenic scores for reproductive span. The results showed that higher VAT and ASAT were both associated with higher grey and white matter brain age, and greater white matter hyperintensity load. The associations varied positively with reproductive span, indicating more prominent associations between adipose tissue and brain measures in females with a longer reproductive span. The effects were in general small, but could not be fully explained by genetic variation or relevant confounders. Our findings indicate that associations between abdominal adipose tissue and brain health post-menopause may partly depend on individual differences in cumulative oestrogen exposure during reproductive years, emphasising the complexity of neural and endocrine ageing processes in females.
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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.
| | - 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
| | - Claudia Barth
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Dennis van der Meer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; School of Mental Health and Neuroscience, Faculty of Health Medicine and Life Sciences, Maastricht University, The Netherlands
| | - Mads L Pedersen
- 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
| | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatry and Psychotherapy, University of Tübingen, Germany
| | - Ivan I Maximov
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway
| | - Jennifer Linge
- AMRA Medical AB, Linköping, Sweden; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden
| | - Olof Dahlqvist Leinhard
- AMRA Medical AB, Linköping, Sweden; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Dani Beck
- 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
| | - Tiril P Gurholt
- 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
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | | | - Bogdan Draganski
- LREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland; Dept. of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - 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
| | - 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, UK
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19
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Olsthoorn L, Vreeken D, Kiliaan AJ. Gut Microbiome, Inflammation, and Cerebrovascular Function: Link Between Obesity and Cognition. Front Neurosci 2021; 15:761456. [PMID: 34938153 PMCID: PMC8685335 DOI: 10.3389/fnins.2021.761456] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 11/16/2021] [Indexed: 12/13/2022] Open
Abstract
Obesity affects 13% of the adult population worldwide and this number is only expected to increase. Obesity is known to have a negative impact on cardiovascular and metabolic health, but it also impacts brain structure and function; it is associated with both gray and white matter integrity loss, as well as decreased cognitive function, including the domains of executive function, memory, inhibition, and language. Especially midlife obesity is associated with both cognitive impairment and an increased risk of developing dementia at later age. However, underlying mechanisms are not yet fully revealed. Here, we review recent literature (published between 2010 and March 2021) and discuss the effects of obesity on brain structure and cognition, with a main focus on the contributions of the gut microbiome, white adipose tissue (WAT), inflammation, and cerebrovascular function. Obesity-associated changes in gut microbiota composition may cause increased gut permeability and inflammation, therewith affecting cognitive function. Moreover, excess of WAT in obesity produces pro-inflammatory adipokines, leading to a low grade systemic peripheral inflammation, which is associated with decreased cognition. The blood-brain barrier also shows increased permeability, allowing among others, peripheral pro-inflammatory markers to access the brain, leading to neuroinflammation, especially in the hypothalamus, hippocampus and amygdala. Altogether, the interaction between the gut microbiota, WAT inflammation, and cerebrovascular integrity plays a significant role in the link between obesity and cognition. Future research should focus more on the interplay between gut microbiota, WAT, inflammation and cerebrovascular function to obtain a better understanding about the complex link between obesity and cognitive function in order to develop preventatives and personalized treatments.
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Affiliation(s)
- Lisette Olsthoorn
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands
| | - Debby Vreeken
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands.,Department of Bariatric Surgery, Vitalys, Rijnstate Hospital, Arnhem, Netherlands
| | - Amanda J Kiliaan
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands
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20
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Emma EM, Amanda J. Dietary lipids from body to brain. Prog Lipid Res 2021; 85:101144. [PMID: 34915080 DOI: 10.1016/j.plipres.2021.101144] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 12/08/2021] [Accepted: 12/08/2021] [Indexed: 12/12/2022]
Abstract
Dietary habits have drastically changed over the last decades in Western societies. The Western diet, rich in saturated fatty acids (SFA), trans fatty acids (TFA), omega-6 polyunsaturated fatty acids (n-6 PUFA) and cholesterol, is accepted as an important factor in the development of metabolic disorders, such as obesity and diabetes type 2. Alongside these diseases, nutrition is associated with the prevalence of brain disorders. Although clinical and epidemiological studies revealed that metabolic diseases and brain disorders might be related, the underlying pathology is multifactorial, making it hard to determine causal links. Neuroinflammation can be a result of unhealthy diets that may cause alterations in peripheral metabolism. Especially, dietary fatty acids are of interest, as they act as signalling molecules responsible for inflammatory processes. Diets rich in n-6 PUFA, SFA and TFA increase neuroinflammation, whereas diets rich in monounsaturated fatty acids (MUFA), omega-3 (n-3) PUFA and sphingolipids (SL) can diminish neuroinflammation. Moreover, these pro- and anti-inflammatory diets might indirectly influence neuroinflammation via the adipose tissue, microbiome, intestine and vasculature. Here, we review the impact of nutrition on brain health. In particular, we will discuss the role of dietary lipids in signalling pathways directly applicable to inflammation and neuronal function.
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Affiliation(s)
- E M Emma
- Department of Medical Imaging, Anatomy, Radboud university medical center, Donders Institute for Brain Cognition and Behaviour, Nijmegen, the Netherlands
| | - J Amanda
- Department of Medical Imaging, Anatomy, Radboud university medical center, Donders Institute for Brain Cognition and Behaviour, Nijmegen, the Netherlands.
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21
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Relationship between obesity and structural brain abnormality: Accumulated evidence from observational studies. Ageing Res Rev 2021; 71:101445. [PMID: 34391946 DOI: 10.1016/j.arr.2021.101445] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 07/10/2021] [Accepted: 08/08/2021] [Indexed: 12/28/2022]
Abstract
We aimed to evaluate the relationship between obesity and structural brain abnormalities assessed by magnetic resonance imaging using data from 45 observational epidemiological studies, where five articles reported prospective longitudinal results. In cross-sectional studies' analyses, the pooled weighted mean difference for total brain volume (TBV) and gray matter volume (GMV) in obese/overweight participants was -11.59 (95 % CI: -23.17 to -0.02) and -10.98 (95 % CI: -20.78 to -1.18), respectively. TBV was adversely associated with BMI and WC, GMV with BMI, and hippocampal volume with BMI, WC, and WHR. WC/WHR are associated with a risk of lacunar and white matter hyperintensity (WMH). In longitudinal studies' analyses, BMI was not statistically associated with the overall structural brain abnormalities (for continuous BMI: RR = 1.02, 95 % CI: 0.94-1.12; for categorial BMI: RR = 1.18, 95 % CI: 0.75-1.85). Small sample size of prospective longitudinal studies limited the power of its pooled estimates. A higher BMI is associated with lower brain volume while greater WC/WHR, but not BMI, is related to a risk of lacunar infarct and WMH. Future longitudinal research is needed to further elucidate the specific causal relationships and explore preventive measures.
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22
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Effects of Nutrients on Platelet Function: A Modifiable Link between Metabolic Syndrome and Neurodegeneration? Biomolecules 2021; 11:biom11101455. [PMID: 34680088 PMCID: PMC8533544 DOI: 10.3390/biom11101455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 09/27/2021] [Accepted: 09/30/2021] [Indexed: 11/17/2022] Open
Abstract
Metabolic syndrome increases the risk of vascular dementia and other neurodegenerative disorders. Recent studies underline that platelets play an important role in linking peripheral with central metabolic and inflammatory mechanisms. In this narrative review, we address the activation of platelets in metabolic syndrome, their effects on neuronal processes and the role of the mediators (e.g., serotonin, platelet-derived growth factor). Emerging evidence shows that nutritional compounds and their metabolites modulate these interactions-specifically, long chain fatty acids, endocannabinoids and phenolic compounds. We reviewed the role of activated platelets in neurovascular processes and nutritional compounds in platelet activation.
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23
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Kim W, Jang H, Kim YT, Cho J, Sohn J, Seo G, Lee J, Yang SH, Lee SK, Noh Y, Koh SB, Oh SS, Kim HJ, Seo SW, Kim HH, Lee JI, Kim SY, Kim C. The effect of body fatness on regional brain imaging markers and cognitive function in healthy elderly mediated by impaired glucose metabolism. J Psychiatr Res 2021; 140:488-495. [PMID: 34153903 DOI: 10.1016/j.jpsychires.2021.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/31/2021] [Accepted: 06/04/2021] [Indexed: 11/28/2022]
Abstract
Brain atrophy is related to vascular risk factors and can increase cognitive dysfunction risk. This community-based, cross-sectional study investigated whether glucose metabolic disorders due to body fatness are linked to regional changes in brain structure and a decline in neuropsychological function in cognitively healthy older adults. From 2016 to 2019, 429 participants underwent measurements for cortical thickness and subcortical volume using 3 T magnetic resonance imaging and for cognitive function using the neuropsychological screening battery. The effects of body fatness mediated by impaired glucose metabolism on neuroimaging markers and cognitive function was investigated using partial least square structural equation modeling. Total grey matter volume (β = -0.020; bias-corrected (BC) 95% confidence interval (CI) = -0.047 to -0.006), frontal (β = -0.029; BC 95% CI = -0.063 to -0.005) and temporal (β = -0.022; BC 95% CI = -0.051 to -0.004) lobe cortical thickness, and hippocampal volume (β = -0.029; BC 95% CI = -0.058 to -0.008) were indirectly related to body fatness. Further, frontal/temporal lobe thinning was associated with recognition memory (β = -0.005; BC 95% CI = -0.012 to -0.001/β = -0.005; BC 95% CI = -0.013 to -0.001) and delayed recall for visual information (β = -0.005; BC 95% CI = -0.013 to -0.001/β = -0.005; BC 95% CI = -0.013 to -0.001). Additionally, the smaller the hippocampal volume, the lower the score in recognition memory (β = -0.005; BC 95% CI = -0.012 to -0.001), delayed recall for visual information (β = -0.005; BC 95% CI = -0.012 to -0.001), and verbal learning (β = -0.008; BC 95% CI = -0.017 to -0.002). Our findings indicate that impaired glucose metabolism caused by excess body fatness affects memory decline as well as regional grey matter atrophy in elderly individuals with no neurological disease.
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Affiliation(s)
- Woojin Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Heeseon Jang
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea.
| | - Yun Tae Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea.
| | - Jaelim Cho
- Institute of Human Complexity and Systems Science, Yonsei University, Incheon, 21983, Republic of Korea; School of Medicine, University of Auckland, Auckland, 92019, New Zealand; Institute for Environmental Research, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Jungwoo Sohn
- Department of Preventive Medicine, Jeonbuk National University Medical School, Jeonju, 54907, Republic of Korea.
| | - Gayoung Seo
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Jiae Lee
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Sung Hee Yang
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Seung-Koo Lee
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Young Noh
- Department of Neurology, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, Republic of Korea.
| | - Sang-Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, 26426, Republic of Korea.
| | - Sung Soo Oh
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
| | - Hee Jin Kim
- Department of Information, Communication and Technology Convergence. ICT Environment Convergence, Pyeongtaek University, Pyeongtaek, 17869, Republic of Korea.
| | - Sang Won Seo
- Department of Information, Communication and Technology Convergence. ICT Environment Convergence, Pyeongtaek University, Pyeongtaek, 17869, Republic of Korea.
| | - Ho Hyun Kim
- Korea Testing and Research Institute, Gwacheon, 13810, Republic of Korea.
| | - Jung Il Lee
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, 10408, Republic of Korea.
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, 10408, Republic of Korea.
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea; Institute of Human Complexity and Systems Science, Yonsei University, Incheon, 21983, Republic of Korea.
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24
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Obesity, Vascular Disease and Frailty in Aging Women with HIV. ACTA ACUST UNITED AC 2021; 3. [PMID: 34368807 PMCID: PMC8345026 DOI: 10.20900/agmr20210014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Women with chronic HIV infection (WWH) living in the United States,
experience a disproportionately high rate of obesity compared to uninfected
populations. Both overweight and obesity, particularly central obesity, are
major contributors to insulin resistance, hypertension, and
dyslipidemia—the major components of metabolic syndromes, including type
2 diabetes, and leading to increased cardiovascular risk, including coronary
heart disease, and cerebrovascular diseases. Notably, declining physical
performance and frailty co-occur with vascular morbidities as well as changes in
bone. These factors tend to exacerbate each other and accelerate the aging
trajectory, leading to poorer quality of life, cognitive impairments, dementia,
and eventually, death. In WWH, persistent HIV infection, sustained treatment for
HIV infection, and concomitant obesity, may accelerate aging-related morbidities
and poorer aging outcomes. Furthermore, health disparities factors common among
some WWH, are independently associated with obesity and higher vascular risk.
The purpose of this review is to describe the constellation of obesity, cardio-
and cerebrovascular diseases, bone health and frailty among aging WWH, a 21st
century emergence.
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25
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Mansur RB, Subramaniapillai M, Lee Y, Pan Z, Carmona NE, Shekotikhina M, Iacobucci M, Rodrigues N, Nasri F, Rashidian H, Rosenblat JD, Brietzke E, Cosgrove VE, Kramer NE, Suppes T, McIntyre RS. Leptin mediates improvements in cognitive function following treatment with infliximab in adults with bipolar depression. Psychoneuroendocrinology 2020; 120:104779. [PMID: 32603956 DOI: 10.1016/j.psyneuen.2020.104779] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 11/18/2022]
Abstract
A potential role for leptin in the pathophysiology of bipolar disorder (BD) has been proposed. We recently investigated the effects of the tumor necrosis factor-alpha (TNF-α) antagonist infliximab in individuals with bipolar depression. Leptin is known to interact with the TNF-α system. Herein, we aimed to explore infliximab's effects on leptin and its relationship with brain structure and function. Sixty adults with bipolar depression were enrolled in this randomized, double-blind, 12-week clinical trial of adjunctive infliximab (n = 29) and saline control (n = 31), which were administered intravenously at weeks 0, 2, and 6. Plasma concentrations of leptin, TNF-α and soluble TNF receptors (sTNFR) 1 and 2 were assessed at weeks 0, 2, 6, and 12. We observed a significant decrease in leptin levels in infliximab-treated patients, relative to placebo. Infliximab treatment also significantly reduced TNF-α and sTNFR2, but not sTNFR1 levels. Changes in sTNR2 levels at week 6 significantly determined changes in leptin at week 12 in infliximab-, but not placebo-treated participants. Improvements in verbal memory and increases in global cortical volume were associated with reduction in leptin levels in the treatment group. Mediation analysis indicated that cognitive improvement in infliximab-treated patients was mediated by reductions in leptin levels, which in its turn were determined by decreases in sTNR2 levels. In conclusion, infliximab treatment reduced plasma leptin levels in individuals with BD, through modulation of sTNFR2. Decreases in leptin signaling were associated with an increase in global cortical volume and better performance in a verbal memory task.
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Affiliation(s)
- Rodrigo B Mansur
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
| | | | - Yena Lee
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Zihang Pan
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Nicole E Carmona
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychology, Ryerson University, Toronto, ON, Canada
| | - Margarita Shekotikhina
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; University of Ottawa, Department of Psychiatry, Ottawa, ON, Canada
| | - Michelle Iacobucci
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Nelson Rodrigues
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Flora Nasri
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Houman Rashidian
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Elisa Brietzke
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Kingston General Hospital, Providence Care Hospital, Department of Psychiatry, Queen's University School of Medicine, Kingston, ON, Canada
| | - Victoria E Cosgrove
- Department of Psychiatry & Behavioral Sciences, Stanford University, School of Medicine, Palo Alto, CA, USA
| | - Nicole E Kramer
- Department of Psychiatry & Behavioral Sciences, Stanford University, School of Medicine, Palo Alto, CA, USA
| | - Trisha Suppes
- Department of Psychiatry & Behavioral Sciences, Stanford University, School of Medicine, Palo Alto, CA, USA
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
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26
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Affiliation(s)
- Thomas Raphael Meinel
- Department of Neurology (T.R.M., U.F.), Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Johannes Kaesmacher
- Institute of Diagnostic and Interventional Neuroradiology, Institute of Diagnostic, Interventional and Pediatric Radiology and Department of Neurology (J.K.), Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Laurent Roten
- Department of Cardiology (L.R.), Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Urs Fischer
- Department of Neurology (T.R.M., U.F.), Inselspital, Bern University Hospital, University of Bern, Switzerland
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27
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Ghali MGZ, Marchenko V, Yaşargil MG, Ghali GZ. Structure and function of the perivascular fluid compartment and vertebral venous plexus: Illumining a novel theory on mechanisms underlying the pathogenesis of Alzheimer's, cerebral small vessel, and neurodegenerative diseases. Neurobiol Dis 2020; 144:105022. [PMID: 32687942 DOI: 10.1016/j.nbd.2020.105022] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 06/13/2020] [Accepted: 07/15/2020] [Indexed: 01/14/2023] Open
Abstract
Blood dynamically and richly supplies the cerebral tissue via microvessels invested in pia matter perforating the cerebral substance. Arteries penetrating the cerebral substance derive an investment from one or two successive layers of pia mater, luminally apposed to the pial-glial basal lamina of the microvasculature and abluminally apposed to a series of aquaporin IV-studded astrocytic end feet constituting the soi-disant glia limitans. The full investment of successive layers forms the variably continuous walls of the periarteriolar, pericapillary, and perivenular divisions of the perivascular fluid compartment. The pia matter disappears at the distal periarteriolar division of the perivascular fluid compartment. Plasma from arteriolar blood sequentially transudates into the periarteriolar division of the perivascular fluid compartment and subarachnoid cisterns in precession to trickling into the neural interstitium. Fluid from the neural interstitium successively propagates into the venules through the subarachnoid cisterns and perivenular division of the perivascular fluid compartment. Fluid fluent within the perivascular fluid compartment flows gegen the net direction of arteriovenular flow. Microvessel oscillations at the central tendency of the cerebral vasomotion generate corresponding oscillations of within the surrounding perivascular fluid compartment, interposed betwixt the abluminal surface of the vessels and internal surface of the pia mater. The precise microanatomy of this most fascinating among designable spaces has eluded the efforts of various investigators to interrogate its structure, though most authors non-consensusly concur the investing layers effectively and functionally segregate the perivascular and subarachnoid fluid compartments. Enlargement of the perivascular fluid compartment in a variety of neurological disorders, including senile dementia of the Alzheimer's type and cerebral small vessel disease, may alternately or coordinately constitute a correlative marker of disease severity and a possible cause implicated in the mechanistic pathogenesis of these conditions. Venular pressures modulating oscillatory dynamic flow within the perivascular fluid compartment may similarly contribute to the development of a variety among neurological disorders. An intimate understanding of subtle features typifying microanatomy and microphysiology of the investing structures and spaces of the cerebral microvasculature may powerfully inform mechanistic pathophysiology mediating a variety of neurovascular ischemic, neuroinfectious, neuroautoimmune, and neurodegenerative diseases.
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Affiliation(s)
- Michael George Zaki Ghali
- Department of Neurological Surgery, University of California San Francisco, 505 Parnassus Street, San Francisco, CA 94143, United States; Department of Neurobiology and Anatomy, 2900 W. Queen Lane, Philadelphia, PA 19129, United States.
| | - Vitaliy Marchenko
- Department of Neurobiology and Anatomy, 2900 W. Queen Lane, Philadelphia, PA 19129, United States; Department of Neurophysiology, Bogomoletz Institute, Kyiv, Ukraine; Department of Neuroscience, Московский государственный университет имени М. В., Ломоносова GSP-1, Leninskie Gory, Moscow 119991, Russian Federation
| | - M Gazi Yaşargil
- Department of Neurosurgery, University Hospital Zurich Rämistrasse 100, 8091 Zurich, Switzerland
| | - George Zaki Ghali
- United States Environmental Protection Agency, Arlington, Virginia, USA; Emeritus Professor of Toxicology, Purdue University, West Lafayette, Indiana, USA
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Bazargan-Hejazi S, Dehghan K, Edwards C, Mohammadi N, Attar S, Sahraian MA, Eskandarieh S. The health burden of non-communicable neurological disorders in the USA between 1990 and 2017. Brain Commun 2020; 2:fcaa097. [PMID: 32954341 PMCID: PMC7472903 DOI: 10.1093/braincomms/fcaa097] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 05/22/2020] [Accepted: 06/01/2020] [Indexed: 12/11/2022] Open
Abstract
In this observational study, using the Global Burden of Disease and Risk Factors Study, we aimed to (i) report the magnitude of health loss due to non-communicable neurological disorders in the USA in 2017 by sex, age, years and States and (ii) to identify non-communicable neurological disorders attributable environmental, metabolic and behavioural risk factors. We provide estimates of the burden of non-communicable neurological disorders by reporting disability-adjusted life-years and their trends from 1990 to 2017 by age and sex in the USA. The non-communicable neurological disorders include migraines, tension-type headaches, multiple sclerosis, Alzheimer's disease and other dementias, Parkinson's disease, epilepsy, motor neuron diseases and other neurological disorders. In 2017, the global burdens of non-communicable neurological disorders were 1444.41 per 100 000, compared to the USA burden of 1574.0. Migraine was the leading age-standardized disability-adjusted life-years 704.7 per 100 000, with Alzheimer's disease and other dementias (41.8.7), and epilepsy (123.8) taking the second and third places, respectively. Between 1990 and 2017, the age-standardized disability-adjusted life-years rates for aggregate non-communicable neurological disorders relative to all cause increased by 3.42%. More specifically, this value for motor neuron diseases, Parkinson's disease and multiple sclerosis increase by 20.9%, 4.0%, 2.47%, 3.0% and 1.65%, respectively. In 2017, the age-standardized disability-adjusted life-years rates for the aggregate non-communicable neurological disorders was significantly higher in females than the males (1843.5 versus 1297.3 per 100 000), respectively. The age-standardized disability-adjusted life-years rates for migraine were the largest in both females (968.8) and males were (432.5) compared to other individual non-communicable neurological disorders. In the same year, the leading non-communicable neurological disorders age-standardized disability-adjusted life-years rates among children ≤9 was epilepsy (216.4 per 100 000). Among the adults aged 35-60 years, it was migraine (5792.0 per 100 000), and among the aged 65 and above was Alzheimer's disease and other dementias (78 800.1 per 100 000). High body mass index, smoking, high fasting plasma glaucous and alcohol use were the attributable age-standardized disability-adjusted life-years risks for aggregate and individual non-communicable neurological disorders. Despite efforts to decrease the burden of non-communicable neurological disorders in the USA, they continue to burden the health of the population. Children are most vulnerable to epilepsy-related health burden, adolescents and young adults to migraine, and elderly to Alzheimer's disease and other dementias and epilepsy. In all, the most vulnerable populations to non-communicable neurological disorders are females, young adults and the elderly.
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Affiliation(s)
- Shahrzad Bazargan-Hejazi
- Department Psychiatry and Human Behavior, Charles R. Drew University of Medicine and Science & David Geffen of Medicine at University of California at Los Angeles, Los Angeles, CA, USA
| | - Kaveh Dehghan
- Psychiatry Department, College of Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
| | - Cristina Edwards
- Mathematics and Computer Science Department, Amirkabir University of Technology, Tehran, Iran
| | - Najmeh Mohammadi
- Public Health Program, College of Health and Sciences, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
| | - Setareh Attar
- Psychiatry Department, College of Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
| | - Mohammad Ali Sahraian
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sharareh Eskandarieh
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
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