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Calcetas AT, Thomas KR, Edmonds EC, Holmqvist SL, Edwards L, Bordyug M, Delano-Wood L, Brickman AM, Bondi MW, Bangen KJ, For The Alzheimer's Disease Neuroimaging Initiative. Increased regional white matter hyperintensity volume in objectively-defined subtle cognitive decline and mild cognitive impairment. Neurobiol Aging 2022; 118:1-8. [PMID: 35809348 PMCID: PMC9838569 DOI: 10.1016/j.neurobiolaging.2022.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 06/03/2022] [Accepted: 06/07/2022] [Indexed: 02/03/2023]
Abstract
White matter hyperintensities (WMH), a marker of small vessel cerebrovascular disease, increase risk of developing mild cognitive impairment (MCI) and Alzheimer's disease (AD). Less is known about the extent and pattern of WMH in pre-MCI stages, such as among those with objectively-defined subtle cognitive decline (Obj-SCD). Five hundred and fifty-nine Alzheimer's Disease Neuroimaging Initiative participants (170 cognitively unimpaired [CU]; 83 Obj-SCD; 306 MCI) free of clinical dementia or stroke completed neuropsychological testing and MRI exams. ANCOVA models compared cognitive groups on regional WMH adjusting for age, sex, and apolipoprotein E (APOE) ɛ4 frequency. Compared with the CU group, those with Obj-SCD had greater temporal, occipital, and frontal WMH whereas those with MCI had higher WMH volume across all regions (p's < 0.01). No differences in WMH volume were observed between the Obj-SCD and MCI groups (p's > 0.05). Findings add to growing evidence of associations between Obj-SCD and imaging biomarkers, providing support for utility of these criteria to capture subtle cognitive changes that are biologically based.
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Affiliation(s)
- Amanda T Calcetas
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Kelsey R Thomas
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Emily C Edmonds
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | | | - Lauren Edwards
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Maria Bordyug
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Lisa Delano-Wood
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Adam M Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA; Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA; Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Mark W Bondi
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Katherine J Bangen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Research Service, VA San Diego Healthcare System, San Diego, CA, USA.
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Role of Demyelination in the Persistence of Neurological and Mental Impairments after COVID-19. Int J Mol Sci 2022; 23:ijms231911291. [PMID: 36232592 PMCID: PMC9569975 DOI: 10.3390/ijms231911291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/16/2022] [Accepted: 09/21/2022] [Indexed: 11/16/2022] Open
Abstract
Long-term neurological and mental complications of COVID-19, the so-called post-COVID syndrome or long COVID, affect the quality of life. The most persistent manifestations of long COVID include fatigue, anosmia/hyposmia, insomnia, depression/anxiety, and memory/attention deficits. The physiological basis of neurological and psychiatric disorders is still poorly understood. This review summarizes the current knowledge of neurological sequelae in post-COVID patients and discusses brain demyelination as a possible mechanism of these complications with a focus on neuroimaging findings. Numerous reviews, experimental and theoretical studies consider brain demyelination as one of the mechanisms of the central neural system impairment. Several factors might cause demyelination, such as inflammation, direct effect of the virus on oligodendrocytes, and cerebrovascular disorders, inducing myelin damage. There is a contradiction between the solid fundamental basis underlying demyelination as the mechanism of the neurological injuries and relatively little published clinical evidence related to demyelination in COVID-19 patients. The reason for this probably lies in the fact that most clinical studies used conventional MRI techniques, which can detect only large, clearly visible demyelinating lesions. A very limited number of studies use specific methods for myelin quantification detected changes in the white matter tracts 3 and 10 months after the acute phase of COVID-19. Future research applying quantitative MRI assessment of myelin in combination with neurological and psychological studies will help in understanding the mechanisms of post-COVID complications associated with demyelination.
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Fang Y, Doyle MF, Chen J, Alosco ML, Mez J, Satizabal CL, Qiu WQ, Murabito JM, Lunetta KL. Association between inflammatory biomarkers and cognitive aging. PLoS One 2022; 17:e0274350. [PMID: 36083988 PMCID: PMC9462682 DOI: 10.1371/journal.pone.0274350] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 08/25/2022] [Indexed: 11/18/2022] Open
Abstract
Inflammatory cytokines and chemokines related to the innate and adaptive immune system have been linked to neuroinflammation in Alzheimer's Disease, dementia, and cognitive disorders. We examined the association of 11 plasma proteins (CD14, CD163, CD5L, CD56, CD40L, CXCL16, SDF1, DPP4, SGP130, sRAGE, and MPO) related to immune and inflammatory responses with measures of cognitive function, brain MRI and dementia risk. We identified Framingham Heart Study Offspring participants who underwent neuropsychological testing (n = 2358) or brain MRI (n = 2100) within five years of the seventh examination where a blood sample for quantifying the protein biomarkers was obtained; and who were followed for 10 years for incident all-cause dementia (n = 1616). We investigated the association of inflammatory biomarkers with neuropsychological test performance and brain MRI volumes using linear mixed effect models accounting for family relationships. We further used Cox proportional hazards models to examine the association with incident dementia. False discovery rate p-values were used to account for multiple testing. Participants included in the neuropsychological test and MRI samples were on average 61 years old and 54% female. Participants from the incident dementia sample (average 68 years old at baseline) included 124 participants with incident dementia. In addition to CD14, which has an established association, we found significant associations between higher levels of CD40L and myeloperoxidase (MPO) with executive dysfunction. Higher CD5L levels were significantly associated with smaller total brain volumes (TCBV), whereas higher levels of sRAGE were associated with larger TCBV. Associations persisted after adjustment for APOE ε4 carrier status and additional cardiovascular risk factors. None of the studied inflammatory biomarkers were significantly associated with risk of incident all-cause dementia. Higher circulating levels of soluble CD40L and MPO, markers of immune cell activation, were associated with poorer performance on neuropsychological tests, while higher CD5L, a key regulator of inflammation, was associated with smaller total brain volumes. Higher circulating soluble RAGE, a decoy receptor for the proinflammatory RAGE/AGE pathway, was associated with larger total brain volume. If confirmed in other studies, this data indicates the involvement of an activated immune system in abnormal brain aging.
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Affiliation(s)
- Yuan Fang
- Department of Biostatistics, School of Public Health, Boston University, Boston, Massachusetts, United States of America
| | - Margaret F. Doyle
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, United States of America
| | - Jiachen Chen
- Department of Biostatistics, School of Public Health, Boston University, Boston, Massachusetts, United States of America
| | - Michael L. Alosco
- Boston University Alzheimer’s Disease Research Center and CTE Center, School of Medicine, Boston University, Boston, Massachusetts, United States of America
- Department of Neurology, School of Medicine, Boston University, Boston, Massachusetts, United States of America
| | - Jesse Mez
- Boston University Alzheimer’s Disease Research Center and CTE Center, School of Medicine, Boston University, Boston, Massachusetts, United States of America
- Department of Neurology, School of Medicine, Boston University, Boston, Massachusetts, United States of America
- Framingham Heart Study, National Heart, Lung, and Blood Institute and Boston University School of Medicine, Framingham, Massachusetts, United States of America
| | - Claudia L. Satizabal
- Department of Neurology, School of Medicine, Boston University, Boston, Massachusetts, United States of America
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Wei Qiao Qiu
- Boston University Alzheimer’s Disease Research Center and CTE Center, School of Medicine, Boston University, Boston, Massachusetts, United States of America
- Department of Psychiatry, School of Medicine, Boston University, Boston, Massachusetts, United States of America
- Department of Pharmacology & Experimental Therapeutics, School of Medicine, Boston University, Boston, Massachusetts, United States of America
| | - Joanne M. Murabito
- Framingham Heart Study, National Heart, Lung, and Blood Institute and Boston University School of Medicine, Framingham, Massachusetts, United States of America
- Department of Medicine, Section of General Internal Medicine, School of Medicine, Boston University, Boston, Massachusetts, United States of America
- Boston Medical Center, Boston University, Boston, Massachusetts, United States of America
| | - Kathryn L. Lunetta
- Department of Biostatistics, School of Public Health, Boston University, Boston, Massachusetts, United States of America
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Subramaniapillai S, Suri S, Barth C, Maximov II, Voldsbekk I, van der Meer D, Gurholt TP, Beck D, Draganski B, Andreassen OA, Ebmeier KP, Westlye LT, de Lange AG. Sex- and age-specific associations between cardiometabolic risk and white matter brain age in the UK Biobank cohort. Hum Brain Mapp 2022; 43:3759-3774. [PMID: 35460147 PMCID: PMC9294301 DOI: 10.1002/hbm.25882] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/24/2022] [Accepted: 04/05/2022] [Indexed: 12/13/2022] Open
Abstract
Cardiometabolic risk (CMR) factors are associated with accelerated brain aging and increased risk for sex-dimorphic illnesses such as Alzheimer's disease (AD). Yet, it is unknown how CMRs interact with sex and apolipoprotein E-ϵ4 (APOE4), a known genetic risk factor for AD, to influence brain age across different life stages. Using age prediction based on multi-shell diffusion-weighted imaging data in 21,308 UK Biobank participants, we investigated whether associations between white matter Brain Age Gap (BAG) and body mass index (BMI), waist-to-hip ratio (WHR), body fat percentage (BF%), and APOE4 status varied (i) between males and females, (ii) according to age at menopause in females, and (iii) across different age groups in males and females. We report sex differences in associations between BAG and all three CMRs, with stronger positive associations among males compared to females. Independent of APOE4 status, higher BAG (older brain age relative to chronological age) was associated with greater BMI, WHR, and BF% in males, whereas in females, higher BAG was associated with greater WHR, but not BMI and BF%. These divergent associations were most prominent within the oldest group of females (66-81 years), where greater BF% was linked to lower BAG. Earlier menopause transition was associated with higher BAG, but no interactions were found with CMRs. In conclusion, the findings point to sex- and age-specific associations between CMRs and brain age. Incorporating sex as a factor of interest in studies addressing CMR may promote sex-specific precision medicine, consequently improving health care for both males and females.
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Affiliation(s)
- Sivaniya Subramaniapillai
- LREN, Centre for Research in Neurosciences, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
- Department of Psychology, Faculty of ScienceMcGill UniversityMontrealQuebecCanada
- Department of PsychologyUniversity of OsloOsloNorway
| | - Sana Suri
- Department of PsychiatryUniversity of OxfordOxfordUK
- Wellcome Centre for Integrative NeuroimagingUniversity of OxfordOxfordUK
| | - Claudia Barth
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Ivan I. Maximov
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- Department of Health and FunctioningWestern Norway University of Applied SciencesBergenNorway
| | - Irene Voldsbekk
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- School of Mental Health and Neuroscience, Faculty of Health Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
| | - Dani Beck
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Bogdan Draganski
- LREN, Centre for Research in Neurosciences, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
- Department of NeurologyMax Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| | | | - Lars T. Westlye
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University Hospital and University of OsloOsloNorway
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| | - Ann‐Marie G. de Lange
- LREN, Centre for Research in Neurosciences, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
- Department of PsychologyUniversity of OsloOsloNorway
- Department of PsychiatryUniversity of OxfordOxfordUK
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Salwierz P, Davenport C, Sumra V, Iulita MF, Ferretti MT, Tartaglia MC. Sex and gender differences in dementia. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2022; 164:179-233. [PMID: 36038204 DOI: 10.1016/bs.irn.2022.07.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The dementia landscape has undergone a striking paradigm shift. The advances in understanding of neurodegeneration and proteinopathies has changed our approach to patients with cognitive impairment. Firstly, it has recently been shown that the various proteinopathies that are the cause of the dementia begin to build up long before the appearance of any obvious symptoms. This has cemented the idea that there is an urgency in diagnosis as it occurs very late in the pathophysiology of these diseases. Secondly, that accurate diagnosis is required to deliver targeted therapies, that is precision medicine. With this latter point, the realization that various factors of a person need to be considered as they may impact the presentation and progression of disease has risen to the forefront. Two of these factors aside from race and age are biological sex and gender (social construct), as both can have tremendous impact on manifestation of disease. This chapter will cover what is known and remains to be known on the interaction of sex and gender with some of the major causes of dementia.
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Affiliation(s)
- Patrick Salwierz
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Carly Davenport
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Vishaal Sumra
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - M Florencia Iulita
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain; Women's Brain Project, Guntershausen, Switzerland
| | | | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada; Memory Clinic, Krembil Brain Institute, University Health Network, Toronto, ON, Canada.
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Cogswell PM, Aakre JA, Castillo AM, Knopman DS, Kantarci K, Rabinstein AA, Petersen RC, Jack CR, Mielke MM, Vemuri P, Graff-Radford J. Population-Based Prevalence of Infarctions on 3D Fluid-Attenuated Inversion Recovery (FLAIR) Imaging. J Stroke Cerebrovasc Dis 2022; 31:106583. [PMID: 35689933 PMCID: PMC9329259 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106583] [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: 02/23/2022] [Revised: 05/19/2022] [Accepted: 05/24/2022] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVES To report population-based, age-specific prevalence of infarctions as identified via 3D fluid-attenuated inversion recovery (FLAIR) imaging. MATERIALS AND METHODS Participants without dementia in the Mayo Clinic Study of Aging (MCSA), a population-based study in Olmsted County, MN, age 50-89 who underwent 3D FLAIR imaging between 2017 and 2020 were included. Infarctions per participant were determined via visual interpretation. Inter- and intra-reader reliability were calculated. Infarction prevalence on 3D FLAIR was derived by standardization to the Olmsted County population and was compared to that previously reported on 2D FLAIR imaging. RESULTS Among 580 participants (mean age 71 years, 46% female) the prevalence (95% confidence interval) of any infarction was 5.0% (0.0%-9.9%) at age 50-59 years and 38.8% (28.6%-49.0%) at 80-89 years. In addition to increasing with age, the prevalence varied by sex and type of infarction. Prevalence estimates of cortical infarcts were 0.9% (0.0%-2.7%) at age 50-59 years and 20.2% (10.7%-29.7%) at 80-89 years and lacunar infarcts 4.1% (0.0%-8.8%) at age 50-59 years and 31.2% (21.5%-41.0%) at 80-89 years. Prevalence estimates of any infarction by sex were: men, 8.7% (0.0%-18.7%) at 50-59 years and 54.9% (41.0%-68.8%) at 80-89 years and women, 2.4% (0.0%-7.3%) at age 50-59 years and 27.3% (12.9%-41.7%) at 80-89 years. Intra- and inter- reader reliability were very good (kappa = 0.85 and 0.82, respectively). After adjusting for age, sex and education, individuals imaged with 3D FLAIR were 1.5 times (95% CI 1.2-1.8, p<0.001) more likely to be identified as positive for infarction compared to those imaged with 2D FLAIR. CONCLUSIONS Infarction prevalence increases with age and is greater in men than women. Infarction prevalence on 3D FLAIR imaging, which has become more widely implemented as an alternative to 2D FLAIR over the past several years, will be a useful reference in future work.
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Lara FR, Scruton AL, Pinheiro A, Demissie S, Parva P, Charidimou A, Francis M, Himali JJ, DeCarli C, Beiser A, Seshadri S, Romero JR. Aging, prevalence and risk factors of MRI-visible enlarged perivascular spaces. Aging (Albany NY) 2022; 14:6844-6858. [PMID: 35852852 PMCID: PMC9512514 DOI: 10.18632/aging.204181] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 05/30/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND PURPOSE Cerebral small vessel disease (CSVD) increases with age and is associated with stroke and cognitive decline. Enlarged Perivascular Spaces (ePVS) is an emerging marker of CSVD, but its prevalence over the life span remain unclear. We characterized the age and sex-specific prevalence of ePVS and relation to age-specific risk factors, in a large community-based sample. METHODS We included 3,710 Framingham Heart Study participants with available brain MRI (average age 61.4±14.6, 46% men). ePVS burden was rated in the centrum semiovale (CSO) and basal ganglia (BG) regions. Individual vascular risk factors were related to ePVS burden in the CSO, BG, and mixed CSO-BG regions using multivariable adjusted ordinal logistic regression analysis. RESULTS Severe ePVS prevalence increased with age in men and women, and paralleled increase in vascular risk factors, and prevention treatment use. Older age, hypertension (and resulting higher treatment use), higher systolic and diastolic blood pressure, and smoking were associated with higher burden of ePVS in the CSO, BG and mixed regions. CONCLUSIONS Our observations reinforce the hypothesis that ePVS may be a marker of aging-driven brain vascular pathologies, and its association with vascular risk factors support their role as CSVD imaging biomarker.
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Affiliation(s)
| | | | - Adlin Pinheiro
- NHLBI’s Framingham Heart Study, Framingham, MA 01702, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Serkalem Demissie
- NHLBI’s Framingham Heart Study, Framingham, MA 01702, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Pedram Parva
- Department of Radiology, Veterans Affairs Boston Health System, Boston, MA 02130, USA
| | - Andreas Charidimou
- Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | | | - Jayandra J. Himali
- NHLBI’s Framingham Heart Study, Framingham, MA 01702, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
- The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX 78229, USA
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Davis, CA 95817, USA
| | - Alexa Beiser
- NHLBI’s Framingham Heart Study, Framingham, MA 01702, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Sudha Seshadri
- NHLBI’s Framingham Heart Study, Framingham, MA 01702, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
- The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX 78229, USA
| | - Jose R. Romero
- NHLBI’s Framingham Heart Study, Framingham, MA 01702, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
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Makino K, Lee S, Bae S, Harada K, Chiba I, Katayama O, Tomida K, Morikawa M, Yamashiro Y, Sudo M, Takayanagi N, Shimada H. Light intensity physical activity is beneficially associated with brain volume in older adults with high cardiovascular risk. Front Cardiovasc Med 2022; 9:882562. [PMID: 35911542 PMCID: PMC9326229 DOI: 10.3389/fcvm.2022.882562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/23/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundOlder people with high cardiovascular risk, including those without cardiovascular diseases, are an at-risk population for dementia. Regular physical activity is generally recommended to maintain brain health; however, the optimal intensity of physical activity for maintaining brain volume in older adults with cardiovascular risk remains unclear. We examined the associations between intensity-specific physical activity and brain volume stratified by absolute cardiovascular risk level in older adults without cardiovascular diseases.Methods and resultsThis cross-sectional study involved 725 community-dwelling older Japanese adults without cardiovascular diseases. We estimated absolute cardiovascular risk using the World Health Organization risk estimation charts, which include variables such as age, sex, diabetes mellitus, smoking, systolic blood pressure, and total cholesterol, and stratified cardiovascular risk level into three risk categories: low (≤ 9%), moderate (10–14%), and high (≥15%). We measured daily physical activity using a triaxial accelerometer, and calculated the average time spent in moderate-to-vigorous intensity physical activity (MVPA) and light intensity physical activity (LPA). We performed brain T1-weighted magnetic resonance imaging and calculated the volume of the cortical gray matter, subcortical gray matter, and cerebral white matter, using the FreeSurfer software. In the overall sample, multivariable linear regression analysis showed that greater MVPA was significantly associated with greater volume of the cortical gray matter and cerebral white matter, and greater LPA was significantly associated with greater volume of the cerebral white matter. Additionally, in the analysis of the sample stratified by absolute cardiovascular risk level, cerebral white matter volume was significantly associated with both MVPA and LPA in the high cardiovascular risk group.ConclusionsThe association between physical activity and brain volume differed according to cardiovascular risk level in community-dwelling older adults. In a population at high cardiovascular risk, maintaining or increasing LPA might be a practical and achievable strategy for healthy brain aging.
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Affiliation(s)
- Keitaro Makino
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
- *Correspondence: Keitaro Makino
| | - Sangyoon Lee
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Seongryu Bae
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kenji Harada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Ippei Chiba
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Osamu Katayama
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Kouki Tomida
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Masanori Morikawa
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
| | | | - Motoki Sudo
- Tokyo Research Laboratories, Kao Corporation, Tokyo, Japan
| | | | - Hiroyuki Shimada
- Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
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Pinheiro A, Demissie S, Scruton A, Charidimou A, Parva P, DeCarli C, Seshadri S, Romero JR. Association of Apolipoprotein E ɛ4 Allele with Enlarged Perivascular Spaces. Ann Neurol 2022; 92:23-31. [PMID: 35373386 PMCID: PMC9233108 DOI: 10.1002/ana.26364] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 03/10/2022] [Accepted: 03/30/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Enlarged perivascular spaces have emerged as markers of cerebral small vessel disease and are linked to perivascular drainage dysfunction. The apolipoprotein E-ɛ4 (APOE-ɛ4) allele is the strongest genetic risk factor for cerebral amyloid angiopathy and Alzheimer's neuropathology, but the underlying mechanisms remain unclear. We studied the relationship between APOE-ɛ4 and the topography and burden of enlarged perivascular spaces to elucidate underlying mechanisms between APOE-ɛ4 and adverse clinical outcomes. METHODS We included 3,564 Framingham Heart Study participants with available genotypes and magnetic resonance imaging. Enlarged perivascular spaces in the basal ganglia and centrum semiovale were rated using a validated scale. We related APOE-ɛ4 allele presence to high burden of enlarged perivascular spaces in each region and a mixed score reflecting high burden in both regions using multivariable logistic regression. Exploratory analyses incorporated presence of cerebral microbleeds and assessed effect modification by hypertension. RESULTS Mean age was 60.7 years (SD = 14.6), 1,644 (46.1%) were men, 1,486 (41.8%) were hypertensive, and 836 (23.5%) participants were APOE-ɛ4 carriers. APOE-ɛ4 was associated with high burden of enlarged perivascular spaces in the centrum semiovale (odds ratio [OR] = 1.45, 95% confidence interval [CI] = 1.16, 1.81) and mixed regions (OR = 1.37, 95% CI = 1.11, 1.68). Associations were slightly stronger in hypertensive subjects. INTERPRETATION The APOE-ɛ4 allele plays a modest role in the burden of enlarged perivascular spaces in the centrum semiovale. Further studies are needed to clarify the underlying small vessel disease type in community-dwelling individuals with predominant centrum semiovale enlarged perivascular spaces, which may be hypertensive angiopathy in our sample. ANN NEUROL 2022;92:23-31.
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Affiliation(s)
- Adlin Pinheiro
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
- NHLBI's Framingham Heart Study, Framingham, MA
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
- NHLBI's Framingham Heart Study, Framingham, MA
| | | | - Andreas Charidimou
- Department of Neurology, Boston University School of Medicine, Boston, MA
| | - Pedram Parva
- Department of Radiology, Veterans Affairs Boston Healthcare System, Boston, MA
- Department of Radiology, Boston University School of Medicine, Boston, MA
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Davis, CA
| | - Sudha Seshadri
- NHLBI's Framingham Heart Study, Framingham, MA
- The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX
| | - José R Romero
- NHLBI's Framingham Heart Study, Framingham, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
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Lee J, Kim HJ. Normal Aging Induces Changes in the Brain and Neurodegeneration Progress: Review of the Structural, Biochemical, Metabolic, Cellular, and Molecular Changes. Front Aging Neurosci 2022; 14:931536. [PMID: 35847660 PMCID: PMC9281621 DOI: 10.3389/fnagi.2022.931536] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/13/2022] [Indexed: 11/30/2022] Open
Abstract
Aging is accompanied by many changes in brain and contributes to progressive cognitive decline. In contrast to pathological changes in brain, normal aging brain changes have relatively mild but important changes in structural, biochemical and molecular level. Representatively, aging associated brain changes include atrophy of tissues, alteration in neurotransmitters and damage accumulation in cellular environment. These effects have causative link with age associated changes which ultimately results in cognitive decline. Although several evidences were found in normal aging changes of brain, it is not clearly integrated. Figuring out aging related changes in brain is important as aging is the process that everyone goes through, and comprehensive understanding may help to progress further studies. This review clarifies normal aging brain changes in an asymptotic and comprehensive manner, from a gross level to a microscopic and molecular level, and discusses potential approaches to seek the changes with cognitive decline.
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Affiliation(s)
- Jiseon Lee
- Department of Neurology, Hanyang University Hospital, Seoul, South Korea
| | - Hee-Jin Kim
- Department of Neurology, Hanyang University Hospital, Seoul, South Korea
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Sliz E, Shin J, Ahmad S, Williams DM, Frenzel S, Gauß F, Harris SE, Henning AK, Hernandez MV, Hu YH, Jiménez B, Sargurupremraj M, Sudre C, Wang R, Wittfeld K, Yang Q, Wardlaw JM, Völzke H, Vernooij MW, Schott JM, Richards M, Proitsi P, Nauck M, Lewis MR, Launer L, Hosten N, Grabe HJ, Ghanbari M, Deary IJ, Cox SR, Chaturvedi N, Barnes J, Rotter JI, Debette S, Ikram MA, Fornage M, Paus T, Seshadri S, Pausova Z. Circulating Metabolome and White Matter Hyperintensities in Women and Men. Circulation 2022; 145:1040-1052. [PMID: 35050683 PMCID: PMC9645366 DOI: 10.1161/circulationaha.121.056892] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/02/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND White matter hyperintensities (WMH), identified on T2-weighted magnetic resonance images of the human brain as areas of enhanced brightness, are a major risk factor of stroke, dementia, and death. There are no large-scale studies testing associations between WMH and circulating metabolites. METHODS We studied up to 9290 individuals (50.7% female, average age 61 years) from 15 populations of 8 community-based cohorts. WMH volume was quantified from T2-weighted or fluid-attenuated inversion recovery images or as hypointensities on T1-weighted images. Circulating metabolomic measures were assessed with mass spectrometry and nuclear magnetic resonance spectroscopy. Associations between WMH and metabolomic measures were tested by fitting linear regression models in the pooled sample and in sex-stratified and statin treatment-stratified subsamples. Our basic models were adjusted for age, sex, age×sex, and technical covariates, and our fully adjusted models were also adjusted for statin treatment, hypertension, type 2 diabetes, smoking, body mass index, and estimated glomerular filtration rate. Population-specific results were meta-analyzed using the fixed-effect inverse variance-weighted method. Associations with false discovery rate (FDR)-adjusted P values (PFDR)<0.05 were considered significant. RESULTS In the meta-analysis of results from the basic models, we identified 30 metabolomic measures associated with WMH (PFDR<0.05), 7 of which remained significant in the fully adjusted models. The most significant association was with higher level of hydroxyphenylpyruvate in men (PFDR.full.adj=1.40×10-7) and in both the pooled sample (PFDR.full.adj=1.66×10-4) and statin-untreated (PFDR.full.adj=1.65×10-6) subsample. In men, hydroxyphenylpyruvate explained 3% to 14% of variance in WMH. In men and the pooled sample, WMH were also associated with lower levels of lysophosphatidylcholines and hydroxysphingomyelins and a larger diameter of low-density lipoprotein particles, likely arising from higher triglyceride to total lipids and lower cholesteryl ester to total lipids ratios within these particles. In women, the only significant association was with higher level of glucuronate (PFDR=0.047). CONCLUSIONS Circulating metabolomic measures, including multiple lipid measures (eg, lysophosphatidylcholines, hydroxysphingomyelins, low-density lipoprotein size and composition) and nonlipid metabolites (eg, hydroxyphenylpyruvate, glucuronate), associate with WMH in a general population of middle-aged and older adults. Some metabolomic measures show marked sex specificities and explain a sizable proportion of WMH variance.
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Affiliation(s)
- Eeva Sliz
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Jean Shin
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Dylan M. Williams
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Friederike Gauß
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sarah E. Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ann-Kristin Henning
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Maria Valdes Hernandez
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Yi-Han Hu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Beatriz Jiménez
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - Carole Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London
- School of Biomedical Engineering & Imaging Sciences, King’s College London
| | - Ruiqi Wang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, and Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Petroula Proitsi
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthew R. Lewis
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Germany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Ian J. Deary
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Simon R. Cox
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, 33000 Bordeaux, France
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Myriam Fornage
- University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, USA
| | - Tomas Paus
- Departments of Psychiatry and Neuroscience and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- ECOGENE-21, Chicoutimi, QC, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, and Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
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Hotz I, Deschwanden PF, Liem F, Mérillat S, Malagurski B, Kollias S, Jäncke L. Performance of three freely available methods for extracting white matter hyperintensities: FreeSurfer, UBO Detector, and BIANCA. Hum Brain Mapp 2022; 43:1481-1500. [PMID: 34873789 PMCID: PMC8886667 DOI: 10.1002/hbm.25739] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 11/11/2021] [Accepted: 11/26/2021] [Indexed: 11/07/2022] Open
Abstract
White matter hyperintensities (WMH) of presumed vascular origin are frequently found in MRIs of healthy older adults. WMH are also associated with aging and cognitive decline. Here, we compared and validated three algorithms for WMH extraction: FreeSurfer (T1w), UBO Detector (T1w + FLAIR), and FSL's Brain Intensity AbNormality Classification Algorithm (BIANCA; T1w + FLAIR) using a longitudinal dataset comprising MRI data of cognitively healthy older adults (baseline N = 231, age range 64-87 years). As reference we manually segmented WMH in T1w, three-dimensional (3D) FLAIR, and two-dimensional (2D) FLAIR images which were used to assess the segmentation accuracy of the different automated algorithms. Further, we assessed the relationships of WMH volumes provided by the algorithms with Fazekas scores and age. FreeSurfer underestimated the WMH volumes and scored worst in Dice Similarity Coefficient (DSC = 0.434) but its WMH volumes strongly correlated with the Fazekas scores (rs = 0.73). BIANCA accomplished the highest DSC (0.602) in 3D FLAIR images. However, the relations with the Fazekas scores were only moderate, especially in the 2D FLAIR images (rs = 0.41), and many outlier WMH volumes were detected when exploring within-person trajectories (2D FLAIR: ~30%). UBO Detector performed similarly to BIANCA in DSC with both modalities and reached the best DSC in 2D FLAIR (0.531) without requiring a tailored training dataset. In addition, it achieved very high associations with the Fazekas scores (2D FLAIR: rs = 0.80). In summary, our results emphasize the importance of carefully contemplating the choice of the WMH segmentation algorithm and MR-modality.
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Affiliation(s)
- Isabel Hotz
- Division of Neuropsychology, Department of PsychologyUniversity of ZurichZurichSwitzerland
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of ZurichZurichSwitzerland
| | | | - Franziskus Liem
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of ZurichZurichSwitzerland
| | - Susan Mérillat
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of ZurichZurichSwitzerland
| | - Brigitta Malagurski
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of ZurichZurichSwitzerland
| | - Spyros Kollias
- Department of NeuroradiologyUniversity Hospital ZurichZurichSwitzerland
| | - Lutz Jäncke
- Division of Neuropsychology, Department of PsychologyUniversity of ZurichZurichSwitzerland
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of ZurichZurichSwitzerland
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Duong MT, Das SR, Lyu X, Xie L, Richardson H, Xie SX, Yushkevich PA, Wolk DA, Nasrallah IM. Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer's disease. Nat Commun 2022; 13:1495. [PMID: 35314672 PMCID: PMC8938426 DOI: 10.1038/s41467-022-28941-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 02/11/2022] [Indexed: 11/08/2022] Open
Abstract
Alzheimer's disease (AD) is defined by amyloid (A) and tau (T) pathologies, with T better correlated to neurodegeneration (N). However, T and N have complex regional relationships in part related to non-AD factors that influence N. With machine learning, we assessed heterogeneity in 18F-flortaucipir vs. 18F-fluorodeoxyglucose positron emission tomography as markers of T and neuronal hypometabolism (NM) in 289 symptomatic patients from the Alzheimer's Disease Neuroimaging Initiative. We identified six T/NM clusters with differing limbic and cortical patterns. The canonical group was defined as the T/NM pattern with lowest regression residuals. Groups resilient to T had less hypometabolism than expected relative to T and displayed better cognition than the canonical group. Groups susceptible to T had more hypometabolism than expected given T and exhibited worse cognitive decline, with imaging and clinical measures concordant with non-AD copathologies. Together, T/NM mismatch reveals distinct imaging signatures with pathobiological and prognostic implications for AD.
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Affiliation(s)
- Michael Tran Duong
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Sandhitsu R Das
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Alzheimer's Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Xueying Lyu
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Long Xie
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hayley Richardson
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon X Xie
- Alzheimer's Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul A Yushkevich
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
- Alzheimer's Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Alzheimer's Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Ilya M Nasrallah
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
- Alzheimer's Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Angoff R, Himali JJ, Maillard P, Aparicio HJ, Vasan RS, Seshadri S, Beiser AS, Tsao CW. Relations of Metabolic Health and Obesity to Brain Aging in Young to Middle-Aged Adults. J Am Heart Assoc 2022; 11:e022107. [PMID: 35229662 PMCID: PMC9075324 DOI: 10.1161/jaha.121.022107] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 01/18/2022] [Indexed: 11/23/2022]
Abstract
Background We aimed to evaluate the association between metabolic health and obesity and brain health measured via magnetic resonance imaging and neurocognitive testing in community dwelling adults. Methods and Results Framingham Heart Study Third Generation Cohort members (n=2170, 46±9 years of age, 54% women) without prevalent diabetes, stroke, dementia, or other neurologic conditions were grouped by metabolic unhealthiness (≥2 criteria for metabolic syndrome) and obesity (body mass index ≥30 kg/m2): metabolically healthy (MH) nonobese, MH obese, metabolically unhealthy (MU) nonobese, and MU obese. We evaluated the relationships of these groups with brain structure (magnetic resonance imaging) and function (neurocognitive tests). In multivariable-adjusted analyses, metabolically unhealthy individuals (MU nonobese and MU obese) had lower total cerebral brain volume compared with the MH nonobese referent group (both P<0.05). Additionally, the MU obese group had greater white matter hyperintensity volume (P=0.004), whereas no association was noted between white matter hyperintensity volume and either groups of metabolic health or obesity alone. Obese individuals had less favorable cognitive scores: MH obese had lower scores on global cognition, Logical Memory-Delayed Recall and Similarities tests, and MU obese had lower scores on Similarities and Visual Reproductions-Delayed tests (all P≤0.04). MU and obese groups had higher free water content and lower fractional anisotropy in several brain regions, consistent with loss of white matter integrity. Conclusions In this cross-sectional cohort study of younger to middle-aged adults, poor metabolic health and obesity were associated with structural and functional evidence of brain aging. Improvement in metabolic health and obesity may present opportunities to improve long-term brain health.
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Affiliation(s)
- Rebecca Angoff
- Cardiovascular DivisionBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonMA
| | - Jayandra J. Himali
- Department of NeurologySchool of MedicineBoston UniversityBostonMA
- The Department of BiostatisticsBoston UniversityBostonMA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative DiseasesUniversity of Texas Health Sciences CenterSan AntonioTX
- The Framingham Heart StudyFraminghamMA
| | - Pauline Maillard
- Department of Neurology and Center for NeuroscienceUniversity of California at DavisDavisCA
| | - Hugo J. Aparicio
- Department of NeurologySchool of MedicineBoston UniversityBostonMA
- The Framingham Heart StudyFraminghamMA
| | - Ramachandran S. Vasan
- Department of MedicineSchool of MedicineBoston UniversityBostonMA
- Department of EpidemiologyBoston UniversityBostonMA
- The Framingham Heart StudyFraminghamMA
| | - Sudha Seshadri
- Department of NeurologySchool of MedicineBoston UniversityBostonMA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative DiseasesUniversity of Texas Health Sciences CenterSan AntonioTX
- Department of Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTX
- The Framingham Heart StudyFraminghamMA
| | - Alexa S. Beiser
- Department of NeurologySchool of MedicineBoston UniversityBostonMA
- The Department of BiostatisticsBoston UniversityBostonMA
- The Framingham Heart StudyFraminghamMA
| | - Connie W. Tsao
- Cardiovascular DivisionBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonMA
- The Framingham Heart StudyFraminghamMA
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Kawagoe T. Overview of (f)MRI Studies of Cognitive Aging for Non-Experts: Looking through the Lens of Neuroimaging. Life (Basel) 2022; 12:416. [PMID: 35330167 PMCID: PMC8953678 DOI: 10.3390/life12030416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 02/21/2022] [Accepted: 03/11/2022] [Indexed: 11/20/2022] Open
Abstract
This special issue concerning Brain Functional and Structural Connectivity and Cognition aims to expand our understanding of brain connectivity. Herein, I review related topics including the principle and concepts of functional MRI, brain activation, and functional/structural connectivity in aging for uninitiated readers. Visuospatial attention, one of the well-studied functions in aging, is discussed from the perspective of neuroimaging.
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Affiliation(s)
- Toshikazu Kawagoe
- Liberal Arts Education Centre, Kyushu Campus, Tokai University, Toroku 9-1-1, Kumamoto-City 862-8652, Kumamoto, Japan
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Assessment of potential selection bias in neuroimaging studies of postoperative delirium and cognitive decline: lessons from the SAGES study. Brain Imaging Behav 2022; 16:1732-1740. [PMID: 35278158 PMCID: PMC9283208 DOI: 10.1007/s11682-022-00644-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/22/2022] [Indexed: 12/19/2022]
Abstract
Due to cost and participant burden, neuroimaging studies are often performed in relatively small samples of voluntary participants. This may lead to selection bias. It is important to identify factors associated with participation in neuroimaging studies and understand their effect on outcome measures. We investigated the effect of postoperative delirium on long-term (over 48 months) cognitive decline (LTCD) in 560 older surgical patients (≥ 70 years), including a nested MRI cohort (n = 146). We observed a discrepancy in the effect of delirium on cognitive decline as a function of MRI participation. Although overall difference in cognitive decline due to delirium was not greater than what might be expected due to chance (p = .21), in the non-MRI group delirium was associated with a faster pace of LTCD (-0.063, 95% CI -0.094 to -0.032, p < .001); while in the MRI group the effect of delirium was less and not significant (-0.023, 95% CI -0.076, 0.030, p = .39). Since this limits our ability to investigate the neural correlates of delirium and cognitive decline using MRI data, we attempted to mitigate the observed discrepancy using inverse probability weighting for MRI participation. The approach was not successful and the difference of the effect of delirium in slope was essentially unchanged. There was no evidence that the MRI sub-group experienced delirium that differed in severity relative to MRI non-participants. We could not attribute the observed discrepancy to selection bias based on measured factors. It may reflect a power issue due to the smaller MRI subsample or selection bias from unmeasured factors.
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Vasan RS, Song RJ, Xanthakis V, Beiser A, DeCarli C, Mitchell GF, Seshadri S. Hypertension-Mediated Organ Damage: Prevalence, Correlates, and Prognosis in the Community. Hypertension 2022; 79:505-515. [PMID: 35138872 PMCID: PMC8849561 DOI: 10.1161/hypertensionaha.121.18502] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/21/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND Guidelines emphasize screening people with elevated BP for the presence of end-organ damage. METHODS We characterized the prevalence, correlates, and prognosis of hypertension-mediated organ damage (HMOD) in the community-based Framingham Study. 7898 participants (mean age 51.6 years, 54% women) underwent assessment for the following HMOD: electrocardiographic and echocardiographic left ventricular hypertrophy, abnormal brain imaging findings consistent with vascular injury, increased carotid intima-media thickness, elevated carotid-femoral pulse wave velocity, reduced kidney function, microalbuminuria, and low ankle-brachial index. We characterized HMOD prevalence according to blood pressure (BP) categories defined by four international BP guidelines. Participants were followed up for incidence of cardiovascular disease. RESULTS The prevalence of HMOD varied positively with systolic BP and pulse pressure but negatively with diastolic BP; it increased with age, was similar in both sexes, and varied across BP guidelines based on their thresholds defining hypertension. Among participants with hypertension, elevated carotid-femoral pulse wave velocity was the most prevalent HMOD (40%-60%), whereas low ankle-brachial index was the least prevalent (<5%). Left ventricular hypertrophy, reduced kidney function, microalbuminuria, increased carotid intima-media thickness, and abnormal brain imaging findings had an intermediate prevalence (20%-40%). HMOD frequently clustered within individuals. On follow-up (median, 14.1 years), there were 384 cardiovascular disease events among 5865 participants with concurrent assessment of left ventricular mass, carotid-femoral pulse wave velocity, kidney function, and microalbuminuria. For every BP category above optimal (referent group), the presence of HMOD increased cardiovascular disease risk compared with its absence. CONCLUSIONS The prevalence of HMOD varies across international BP guidelines based on their different thresholds for defining hypertension. The presence of HMOD confers incremental prognostic information regarding cardiovascular disease risk at every BP category.
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Affiliation(s)
- Ramachandran S. Vasan
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Vanessa Xanthakis
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Alexa Beiser
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
| | | | | | - Sudha Seshadri
- Biggs Institute for Alzheimer’s Disease, University of Texas Health Sciences Center at San Antonio, Texas
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68
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Fleischman DA, Arfanakis K, Leurgans SE, Zhang S, Poole VN, Han SD, Yu L, Lamar M, Kim N, Bennett DA, Barnes LL. Associations of deformation-based brain morphometry with cognitive level and decline within older Blacks without dementia. Neurobiol Aging 2022; 111:35-43. [PMID: 34963062 PMCID: PMC9070546 DOI: 10.1016/j.neurobiolaging.2021.11.003] [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] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 11/04/2021] [Accepted: 11/14/2021] [Indexed: 10/19/2022]
Abstract
Blacks are at higher risk of developing cognitive impairment with age than non-Hispanic Whites, yet most brain morphometry and cognition research is performed with White samples or with mixed samples that control for race or compare across racial groups. A deeper understanding of the within-group variability in associations between brain structure and cognitive decline in Blacks is critically important for designing appropriate outcomes for clinical trials, predicting adverse outcomes, and developing interventions to preserve cognitive function, but no studies have examined these associations longitudinally within Blacks. We performed deformation-based morphometry in 376 older Black participants without dementia and examined associations of deformation-based morphometry with cognitive level and decline for global cognition and five cognitive domains. After correcting for widespread age-associated effects, there remained regions with less tissue and more cerebrospinal fluid associated with level and rate of decline in global cognition, memory, and perceptual speed. Further study is needed to examine the moderators of these associations, identify adverse outcomes predicted by brain morphometry, and deepen knowledge of underlying biological mechanisms.
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Affiliation(s)
- Debra A Fleischman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago IL, USA; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago IL, USA.
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA; Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA; Department of Preventive Medicine, Rush University Medical Center, Chicago IL, USA
| | - Shengwei Zhang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA
| | - Victoria N Poole
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA; Department of Orthopedic Surgery, Rush University Medical Center, Chicago IL, USA
| | - S Duke Han
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA; Departments of Family Medicine and Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Psychology, University of Southern California, Los Angeles, CA, USA; School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA
| | - Melissa Lamar
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago IL, USA
| | - Namhee Kim
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago IL, USA; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago IL, USA
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69
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Vemuri P, Decarli CS, Duering M. Imaging Markers of Vascular Brain Health: Quantification, Clinical Implications, and Future Directions. Stroke 2022; 53:416-426. [PMID: 35000423 PMCID: PMC8830603 DOI: 10.1161/strokeaha.120.032611] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Cerebrovascular disease (CVD) manifests through a broad spectrum of mechanisms that negatively impact brain and cognitive health. Oftentimes, CVD changes (excluding acute stroke) are insufficiently considered in aging and dementia studies which can lead to an incomplete picture of the etiologies contributing to the burden of cognitive impairment. Our goal with this focused review is 3-fold. First, we provide a research update on the current magnetic resonance imaging methods that can measure CVD lesions as well as early CVD-related brain injury specifically related to small vessel disease. Second, we discuss the clinical implications and relevance of these CVD imaging markers for cognitive decline, incident dementia, and disease progression in Alzheimer disease, and Alzheimer-related dementias. Finally, we present our perspective on the outlook and challenges that remain in the field. With the increased research interest in this area, we believe that reliable CVD imaging biomarkers for aging and dementia studies are on the horizon.
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Affiliation(s)
| | - Charles S. Decarli
- Departments of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, California, USA
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Switzerland
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70
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Fang Y, Doyle MF, Alosco ML, Mez J, Satizabal CL, Qiu WQ, Lunetta KL, Murabito JM. Cross-Sectional Association Between Blood Cell Phenotypes, Cognitive Function, and Brain Imaging Measures in the Community-Based Framingham Heart Study. J Alzheimers Dis 2022; 87:1291-1305. [PMID: 35431244 PMCID: PMC9969805 DOI: 10.3233/jad-215533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Peripheral inflammation is associated with increased risk for dementia. Neutrophil to lymphocyte ratio (NLR), red cell distribution width (RDW), and mean platelet volume (MPV), are easily measured circulating blood cell phenotypes reflecting chronic peripheral inflammation, but their association with dementia status is unclear. OBJECTIVE We sought to investigate the cross-sectional association of these inflammatory measures with neuropsychological (NP) test performance, and brain magnetic resonance imaging (MRI) measures in the Framingham Heart Study (FHS) Offspring, Third-generation, and Omni cohorts. METHODS We identified FHS participants who attended an exam that included a complete blood cell count (CBC) and underwent NP testing (n = 3,396) or brain MRI (n = 2,770) within five years of blood draw. We investigated the association between NLR, RDW, and MPV and NP test performance and structural MRI-derived volumetric measurements using linear mixed effect models accounting for family relationships and adjusting for potential confounders. RESULTS Participants were on average 60 years old, 53% female, and about 80% attended some college. Higher NLR was significantly associated with poorer performance on visual memory, and visuospatial abilities, as well as with larger white matter hyperintensity volume. We also observed associations for higher RDW with poorer executive function and smaller total cerebral brain volume. CONCLUSION Chronic peripheral inflammation as measured by NLR and RDW was associated with worse cognitive function, reduced brain volume, and greater microvascular disease in FHS participants. If confirmed in other samples, CBC may provide informative and cost-effective biomarkers of abnormal brain aging in the community.
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Affiliation(s)
- Yuan Fang
- Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA
| | - Margaret F. Doyle
- University of Vermont, Larner College of Medicine, Department of Pathology and Laboratory Medicine, Burlington, VT
| | - Michael L. Alosco
- Boston University School of Medicine, Boston University Alzheimer’s Disease Research Center and CTE Center, Boston, MA, USA.,Boston University School of Medicine, Department of Neurology, Boston, MA, USA
| | - Jesse Mez
- Boston University School of Medicine, Boston University Alzheimer’s Disease Research Center and CTE Center, Boston, MA, USA.,Boston University School of Medicine, Department of Neurology, Boston, MA, USA.,Framingham Heart Study, National Heart, Lung, and Blood Institute and Boston University School of Medicine, Framingham, MA, USA
| | - Claudia L. Satizabal
- Boston University School of Medicine, Department of Neurology, Boston, MA, USA.,University of Texas Health Science Center at San Antonio, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio, USA
| | - Wei Qiao Qiu
- Boston University School of Medicine, Boston University Alzheimer’s Disease Research Center and CTE Center, Boston, MA, USA.,Boston University School of Medicine, Department of Psychiatry, Boston, MA, USA.,Boston University School of Medicine, Department of Pharmacology & Experimental Therapeutics, Boston, MA, USA
| | - Kathryn L. Lunetta
- Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA
| | - Joanne M. Murabito
- Framingham Heart Study, National Heart, Lung, and Blood Institute and Boston University School of Medicine, Framingham, MA, USA.,Boston University School of Medicine, Department of Medicine, Section of General Internal Medicine, Boston, MA, USA
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71
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Lacunar Syndromes, Lacunar Infarcts, and Cerebral Small-Vessel Disease. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00027-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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72
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Seshadri S, Caunca MR, Rundek T. Vascular Dementia and Cognitive Impairment. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00018-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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73
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Dallaire-Théroux C, Saikali S, Richer M, Potvin O, Duchesne S. Histopathological Analysis of Cerebrovascular Lesions Associated With Aging. J Neuropathol Exp Neurol 2021; 81:97-105. [PMID: 34875082 DOI: 10.1093/jnen/nlab125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Cerebrovascular disease (CVD) has been associated with cognitive impairment. Yet, our understanding of vascular contribution to cognitive decline has been limited by heterogeneity of definitions and assessment, as well as its occurrence in cognitively healthy aging. Therefore, we aimed to establish the natural progression of CVD associated with aging. We conducted a retrospective observational study of 63 cognitively healthy participants aged 19-84 years selected through the histological archives of the CHU de Québec. Assessment of CVD lesions was performed independently by 3 observers blinded to clinical data using the Vascular Cognitive Impairment Neuropathology Guidelines (VCING). We found moderate to almost perfect interobserver agreement for most regional CVD scores. Atherosclerosis (ρ = 0.758) and arteriolosclerosis (ρ = 0.708) showed the greatest significant association with age, followed by perivascular hemosiderin deposits (ρ = 0.432) and cerebral amyloid angiopathy (CAA; ρ = 0.392). Amyloid and tau pathologies were both associated with higher CVD load, but only CAA remained significantly associated with amyloid plaques after controlling for age. Altogether, these findings support the presence of multiple CVD lesions in the brains of cognitively healthy adults, the burden of which increases with age and can be quantified in a reproducible manner using standardized histological scales such as the VCING.
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Affiliation(s)
- Caroline Dallaire-Théroux
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
| | - Stephan Saikali
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
| | - Maxime Richer
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
| | - Olivier Potvin
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
| | - Simon Duchesne
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
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74
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Blinkouskaya Y, Caçoilo A, Gollamudi T, Jalalian S, Weickenmeier J. Brain aging mechanisms with mechanical manifestations. Mech Ageing Dev 2021; 200:111575. [PMID: 34600936 PMCID: PMC8627478 DOI: 10.1016/j.mad.2021.111575] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 09/09/2021] [Accepted: 09/22/2021] [Indexed: 12/14/2022]
Abstract
Brain aging is a complex process that affects everything from the subcellular to the organ level, begins early in life, and accelerates with age. Morphologically, brain aging is primarily characterized by brain volume loss, cortical thinning, white matter degradation, loss of gyrification, and ventricular enlargement. Pathophysiologically, brain aging is associated with neuron cell shrinking, dendritic degeneration, demyelination, small vessel disease, metabolic slowing, microglial activation, and the formation of white matter lesions. In recent years, the mechanics community has demonstrated increasing interest in modeling the brain's (bio)mechanical behavior and uses constitutive modeling to predict shape changes of anatomically accurate finite element brain models in health and disease. Here, we pursue two objectives. First, we review existing imaging-based data on white and gray matter atrophy rates and organ-level aging patterns. This data is required to calibrate and validate constitutive brain models. Second, we review the most critical cell- and tissue-level aging mechanisms that drive white and gray matter changes. We focuse on aging mechanisms that ultimately manifest as organ-level shape changes based on the idea that the integration of imaging and mechanical modeling may help identify the tipping point when normal aging ends and pathological neurodegeneration begins.
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Affiliation(s)
- Yana Blinkouskaya
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States
| | - Andreia Caçoilo
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States
| | - Trisha Gollamudi
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States
| | - Shima Jalalian
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States
| | - Johannes Weickenmeier
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States.
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Pretscher A, Kauzner S, Rohleder N, Becker L. Associations between social burden, perceived stress, and diurnal cortisol profiles in older adults: implications for cognitive aging. Eur J Ageing 2021; 18:575-590. [PMID: 34786017 PMCID: PMC8563879 DOI: 10.1007/s10433-021-00616-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2021] [Indexed: 11/18/2022] Open
Abstract
Stress can be a risk factor for mental and physical health. We investigated the role of social burden as a potential stressor in older age and its associations with cognitive aging (i.e., within the domains inhibition and cognitive flexibility of executive functioning). Eighty-three older adults (N = 38 male, mean age = 74.0 ± 5.7 years, body-mass index = 25.5 ± 4.1 kg/m2) aged 64 years or older participated. Cognitive flexibility and inhibition were assessed by means of a Trail-Making Test (TMT) and a Stroop task. Perceived levels of social burden and perceived stress in general were assessed via standardized questionnaires. Furthermore, diurnal cortisol profiles were assessed. Overall, older participants showed lower cognitive performance than the younger (both inhibition and cognitive flexibility; p < .044). However, this association did not remain significant when adjusting for multiple comparisons. Social burden was highly correlated with perceived stress, highlighting its importance as a stressor (p < .001). Furthermore, participants who reported higher levels of perceived stress showed lower performance in the TMT as a measure for cognitive flexibility (p < .001). Moreover, social burden was associated with cognitive flexibility, which was assessed by means of the TMT (p = .031). However, this association did not remain significant when using the adjusted α-level. Furthermore, we found that total diurnal cortisol output was a mediator for the relationship between age and inhibition, which was assessed by means of a Stroop task. At last, we found that the mediating role of cortisol interacts with social burden in the way that especially in younger age, high levels of social burden are associated with higher cortisol levels and, therefore, with lower cognitive performance. We conclude that it is important to consider social burden as an additional stressor in older age which is associated with cognitive aging.
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Affiliation(s)
- Anna Pretscher
- Department of Psychology, Chair of Health Psychology, Friedrich-Alexander University Erlangen-Nürnberg, Nägelsbachstr. 49a, 91052 Erlangen, Germany
| | - Saskia Kauzner
- Department of Psychology, Chair of Health Psychology, Friedrich-Alexander University Erlangen-Nürnberg, Nägelsbachstr. 49a, 91052 Erlangen, Germany
| | - Nicolas Rohleder
- Department of Psychology, Chair of Health Psychology, Friedrich-Alexander University Erlangen-Nürnberg, Nägelsbachstr. 49a, 91052 Erlangen, Germany
| | - Linda Becker
- Department of Psychology, Chair of Health Psychology, Friedrich-Alexander University Erlangen-Nürnberg, Nägelsbachstr. 49a, 91052 Erlangen, Germany
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76
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Yuan J, Au R, Karjadi C, Ang TF, Devine S, Auerbach S, DeCarli C, Libon DJ, Mez J, Lin H. Associations Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study) (Preprint). J Med Internet Res 2021; 24:e34513. [PMID: 35436225 PMCID: PMC9055470 DOI: 10.2196/34513] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 02/08/2022] [Accepted: 03/13/2022] [Indexed: 11/22/2022] Open
Abstract
Background The digital Clock Drawing Test (dCDT) has been recently used as a more objective tool to assess cognition. However, the association between digitally obtained clock drawing features and structural neuroimaging measures has not been assessed in large population-based studies. Objective We aimed to investigate the association between dCDT features and brain volume. Methods This study included participants from the Framingham Heart Study who had both a dCDT and magnetic resonance imaging (MRI) scan, and were free of dementia or stroke. Linear regression models were used to assess the association between 18 dCDT composite scores (derived from 105 dCDT raw features) and brain MRI measures, including total cerebral brain volume (TCBV), cerebral white matter volume, cerebral gray matter volume, hippocampal volume, and white matter hyperintensity (WMH) volume. Classification models were also built from clinical risk factors, dCDT composite scores, and MRI measures to distinguish people with mild cognitive impairment (MCI) from those whose cognition was intact. Results A total of 1656 participants were included in this study (mean age 61 years, SD 13 years; 50.9% women), with 23 participants diagnosed with MCI. All dCDT composite scores were associated with TCBV after adjusting for multiple testing (P value <.05/18). Eleven dCDT composite scores were associated with cerebral white matter volume, but only 1 dCDT composite score was associated with cerebral gray matter volume. None of the dCDT composite scores was associated with hippocampal volume or WMH volume. The classification model for differentiating MCI and normal cognition participants, which incorporated age, sex, education, MRI measures, and dCDT composite scores, showed an area under the curve of 0.897. Conclusions dCDT composite scores were significantly associated with multiple brain MRI measures in a large community-based cohort. The dCDT has the potential to be used as a cognitive assessment tool in the clinical diagnosis of MCI.
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Affiliation(s)
- Jing Yuan
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Rhoda Au
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Department of Epidemiology, Boston University School of Public Health, Boston University, Boston, MA, United States
- Slone Epidemiology Center, Boston University School of Medicine, Boston University, Boston, MA, United States
- Alzheimer's Disease Research Center, Boston University, Boston, MA, United States
| | - Cody Karjadi
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Ting Fang Ang
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
- Slone Epidemiology Center, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Sherral Devine
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Sanford Auerbach
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California, Davis, Sacramento, CA, United States
| | - David J Libon
- Department of Geriatrics and Gerontology and Department of Psychology, New Jersey Institute for Successful Aging, Rowan University, School of Osteopathic Medicine, Stratford, NJ, United States
| | - Jesse Mez
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Alzheimer's Disease Research Center, Boston University, Boston, MA, United States
| | - Honghuang Lin
- Division of Clinical Informatics, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
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Werhane ML, Thomas KR, Bangen KJ, Weigand AJ, Edmonds EC, Nation DA, Sundermann EE, Bondi MW, Delano-Wood L. Arterial Stiffening Moderates the Relationship Between Type-2 Diabetes Mellitus and White Matter Hyperintensity Burden in Older Adults With Mild Cognitive Impairment. Front Aging Neurosci 2021; 13:716638. [PMID: 34759811 PMCID: PMC8574966 DOI: 10.3389/fnagi.2021.716638] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Cerebrovascular dysfunction has been proposed as a possible mechanism underlying cognitive impairment in the context of type 2 diabetes mellitus (DM). Although magnetic resonance imaging (MRI) evidence of cerebrovascular disease, such as white matter hyperintensities (WMH), is often observed in DM, the vascular dynamics underlying this pathology remain unclear. Thus, we assessed the independent and combined effects of DM status and different vascular hemodynamic measures (i.e., systolic, diastolic, and mean arterial blood pressure and pulse pressure index [PPi]) on WMH burden in cognitively unimpaired (CU) older adults and those with mild cognitive impairment (MCI). Methods: 559 older adults (mean age: 72.4 years) from the Alzheimer's Disease Neuroimaging Initiative were categorized into those with diabetes (DM+; CU = 43, MCI = 34) or without diabetes (DM-; CU = 279; MCI = 203). Participants underwent BP assessment, from which all vascular hemodynamic measures were derived. T2-FLAIR MRI was used to quantify WMH burden. Hierarchical linear regression, adjusting for age, sex, BMI, intracranial volume, CSF amyloid, and APOE ε4 status, examined the independent and interactive effects of DM status and each vascular hemodynamic measure on total WMH burden. Results: The presence of DM (p = 0.046), but not PPi values (p = 0.299), was independently associated with greater WMH burden overall after adjusting for covariates. Analyses stratified by cognitive status revealed a significant DM status x PPi interaction within the MCI group (p = 0.001) such that higher PPi values predicted greater WMH burden in the DM + but not DM- group. No significant interactions were observed in the CU group (all ps > 0.05). Discussion: Results indicate that higher PPi values are positively associated with WMH burden in diabetic older adults with MCI, but not their non-diabetic or CU counterparts. Our findings suggest that arterial stiffening and reduced vascular compliance may have a role in development of cerebrovascular pathology within the context of DM in individuals at risk for future cognitive decline. Given the specificity of these findings to MCI, future exploration of the sensitivity of earlier brain markers of vascular insufficiency (i.e., prior to macrostructural white matter changes) to the effects of DM and arterial stiffness/reduced vascular compliance in CU individuals is warranted.
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Affiliation(s)
- Madeleine L. Werhane
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Kelsey R. Thomas
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Katherine J. Bangen
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Alexandra J. Weigand
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- SDSU/UC San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, San Diego, CA, United States
| | - Emily C. Edmonds
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Daniel A. Nation
- Department of Psychological Sciences, University of California, Irvine, Irvine, CA, United States
| | - Erin E. Sundermann
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Mark W. Bondi
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Lisa Delano-Wood
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
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Shoamanesh A, Akoudad S, Himali JJ, Beiser AS, DeCarli C, Seshadri S, Ikram MA, Romero JR, Vernooij MW. Cortical superficial siderosis in the general population: The Framingham Heart and Rotterdam studies. Int J Stroke 2021; 16:798-808. [PMID: 33478376 PMCID: PMC9822782 DOI: 10.1177/1747493020984559] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVE We aimed to characterize cortical superficial siderosis, its determinants and sequel, in community-dwelling older adults. METHODS The sample consisted of Framingham (n = 1724; 2000-2009) and Rotterdam (n = 4325; 2005-2013) study participants who underwent brain MRI. In pooled individual-level analysis, we compared baseline characteristics in patients with cortical superficial siderosis to two reference groups: (i) persons without hemorrhagic MRI markers of cerebral amyloid angiopathy (no cortical superficial siderosis and no microbleeds) and (ii) those with presumed cerebral amyloid angiopathy based on the presence of strictly lobar microbleeds but without cortical superficial siderosis. RESULTS Among a total of 6049 participants, 4846 did not have any microbleeds or cortical superficial siderosis (80%), 401 had deep/mixed microbleeds (6.6%), 776 had strictly lobar microbleeds without cortical superficial siderosis (12.8%) and 26 had cortical superficial siderosis with/without microbleeds (0.43%). In comparison to participants without microbleeds or cortical superficial siderosis and to those with strictly lobar microbleeds but without cortical superficial siderosis, participants with cortical superficial siderosis were older (OR 1.09 per year, 95% CI 1.05, 1.14; p < 0.001 and 1.04, 95% CI 1.00, 1.09; p = 0.058, respectively), had overrepresentation of the APOE ɛ4 allele (5.19, 2.04, 13.25; p = 0.001 and 3.47, 1.35, 8.92; p = 0.01), and greater prevalence of intracerebral hemorrhage (72.57, 9.12, 577.49; p < 0.001 and 81.49, 3.40, >999.99; p = 0.006). During a mean follow-up of 5.6 years, 42.4% participants with cortical superficial siderosis had a stroke (five intracerebral hemorrhage, two ischemic strokes and four undetermined strokes), 19.2% had transient neurological deficits and 3.8% developed incident dementia. CONCLUSION Our study adds supporting evidence to the association between cortical superficial siderosis and cerebral amyloid angiopathy within the general population. Community-dwelling persons with cortical superficial siderosis may be at high risk for intracerebral hemorrhage and future neurological events.
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Affiliation(s)
- Ashkan Shoamanesh
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada,Boston University School of Medicine, Boston, MA, USA
| | | | - Jayandra J. Himali
- Boston University School of Medicine, Boston, MA, USA,The Framingham Heart Study, Framingham, MA, USA,Boston University School of Public Health, Boston, MA, USA,Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Alexa S. Beiser
- Boston University School of Medicine, Boston, MA, USA,The Framingham Heart Study, Framingham, MA, USA,Boston University School of Public Health, Boston, MA, USA
| | - Charles DeCarli
- Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Sudha Seshadri
- Boston University School of Medicine, Boston, MA, USA,The Framingham Heart Study, Framingham, MA, USA,Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | | | - Jose R Romero
- Boston University School of Medicine, Boston, MA, USA
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Stefanidou M, O’Donnell A, Himali JJ, DeCarli C, Satizabal C, Beiser AS, Seshadri S, Zaldy T. Bone Mineral Density Measurements and Association With Brain Structure and Cognitive Function: The Framingham Offspring Cohort. Alzheimer Dis Assoc Disord 2021; 35:291-297. [PMID: 33973881 PMCID: PMC8608007 DOI: 10.1097/wad.0000000000000453] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 03/24/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Bone mineral density (BMD) is a potential surrogate marker of lifetime estrogen exposure previously linked to increased risk of Alzheimer dementia among elderly women. We examine the association between BMD in the "young old" with imaging biomarkers of brain aging and cognitive performance. METHODS Offspring participants (N=1905, mean age 66) of a population-based cohort who had BMD, brain imaging and detailed cognitive assessment were included in the study. Sex-stratified, linear, and logistic regression models were used for analysis. RESULTS Higher femoral neck BMD was associated with lower white matter hyperintensity burden and better performance on Trails B-A in both sexes, even after adjustment for cerebrovascular risk factors. Among women, the positive association with Trails B-A performance was seen only in APOE4 allele carriers. Higher BMD measurements were linked to better visual reproductions test performance in men. Finally, among women, higher femoral trochanter BMD was associated with better logical memory and Hooper visual organization test performance. CONCLUSION Among the "young old," higher BMD is associated with less white matter hyperintensity burden and better, domain-specific, cognitive performance. This suggests that lifetime estrogen exposure may modulate the degree of cumulative vascular brain injury independent of cerebrovascular risk factors.
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Affiliation(s)
- Maria Stefanidou
- The Framingham Heart Study, Framingham
- Department of Neurology, Boston University School of Medicine
| | - Adrienne O’Donnell
- The Framingham Heart Study, Framingham
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Jayandra J. Himali
- The Framingham Heart Study, Framingham
- Department of Neurology, Boston University School of Medicine
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases
- Department of Population Health Sciences, University of Texas Health Science Center, San Antonio, TX
| | | | - Claudia Satizabal
- The Framingham Heart Study, Framingham
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases
| | - Alexa S. Beiser
- The Framingham Heart Study, Framingham
- Department of Neurology, Boston University School of Medicine
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham
- Department of Neurology, Boston University School of Medicine
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases
| | - Tan Zaldy
- Division of Geriatrics, David Geffen School of Medicine at the University of California, Los Angeles, CA
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80
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Sanborn V, Preis SR, Ang A, Devine S, Mez J, DeCarli C, Au R, Alosco ML, Gunstad J. Association Between Leptin, Cognition, and Structural Brain Measures Among "Early" Middle-Aged Adults: Results from the Framingham Heart Study Third Generation Cohort. J Alzheimers Dis 2021; 77:1279-1289. [PMID: 32831199 DOI: 10.3233/jad-191247] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND There is growing interest in the pathophysiological processes of preclinical Alzheimer's disease (AD), including the potential role of leptin. Human studies have shown that both low and high levels of leptin can be associated with worse neurocognitive outcomes, suggesting this relationship may be moderated by another risk factor. OBJECTIVE We examined the association between plasma leptin levels and both neuropsychological test performance and structural neuroimaging and assessed whether body mass index (BMI) is an effect modifier of these associations. METHODS Our study sample consisted of 2,223 adults from the Framingham Heart Study Third Generation Cohort (average age = 40 years, 53% women). RESULTS Among the entire sample, there was no association between leptin and any of the neuropsychological domain measures or any of the MRI brain volume measures, after adjustment for BMI, APOE4, and other clinical factors. However, we did observe that BMI category was an effect modifier for the association between leptin and verbal memory (p for interaction = 0.03), where higher levels of leptin were associated with better performance among normal weight participants (BMI 18.5-24.9) kg/m2 (beta = 0.12, p = 0.02). No association was observed between leptin level and verbal memory test performance among participants who were overweight or obese. CONCLUSION These findings suggest that the association between leptin and cognitive function is moderated by BMI category. Prospective examination of individuals transitioning from middle age to older adulthood will help to clarify the contribution of leptin to AD and other neurodegenerative conditions.
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Affiliation(s)
- Victoria Sanborn
- Department of Psychological Sciences, Kent State University, Kent, OH, USA
| | - Sarah R Preis
- Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Alvin Ang
- Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA
| | - Sherral Devine
- Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Jesse Mez
- Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Boston University Alzheimer's Disease Center and Boston University CTE Center, Boston University School of Medicine, Boston, MA, USA
| | - Charles DeCarli
- Department of Neurology, University of California at Davis Health System, Sacramento, CA, USA
| | - Rhoda Au
- Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Boston University Alzheimer's Disease Center and Boston University CTE Center, Boston University School of Medicine, Boston, MA, USA.,Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.,Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Michael L Alosco
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Boston University Alzheimer's Disease Center and Boston University CTE Center, Boston University School of Medicine, Boston, MA, USA
| | - John Gunstad
- Department of Psychological Sciences, Kent State University, Kent, OH, USA
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Lockhart SN, Schaich CL, Craft S, Sachs BC, Rapp SR, Jung Y, Whitlow CT, Solingapuram Sai KK, Cleveland M, Williams BJ, Burke GL, Bertoni A, Hayden KM, Hughes TM. Associations among vascular risk factors, neuroimaging biomarkers, and cognition: Preliminary analyses from the Multi-Ethnic Study of Atherosclerosis (MESA). Alzheimers Dement 2021; 18:551-560. [PMID: 34482601 PMCID: PMC8897510 DOI: 10.1002/alz.12429] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 06/07/2021] [Accepted: 06/24/2021] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Little is known about how antecedent vascular risk factor (VRF) profiles impact late-life brain health. METHODS We examined baseline VRFs, and cognitive testing and neuroimaging measures (β-amyloid [Aβ] PET, MRI) in a diverse longitudinal cohort (N = 159; 50% African-American, 50% White) from Wake Forest's Multi-Ethnic Study of Atherosclerosis Core. RESULTS African-Americans exhibited greater baseline Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE), Framingham stroke risk profile (FSRP), and atherosclerotic cardiovascular disease risk estimate (ASCVD) scores than Whites. We observed no significant racial differences in Aβ positivity, cortical thickness, or white matter hyperintensity (WMH) volume. Higher baseline VRF scores were associated with lower cortical thickness and greater WMH volume, and FSRP and CAIDE were associated with Aβ. Aβ was cross-sectionally associated with cognition, and all imaging biomarkers were associated with greater 6-year cognitive decline. DISCUSSION Results suggest the convergence of multiple vascular and Alzheimer's processes underlying neurodegeneration and cognitive decline.
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Affiliation(s)
- Samuel N Lockhart
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Christopher L Schaich
- Department of Surgery-Hypertension and Vascular Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Suzanne Craft
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Bonnie C Sachs
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Division of Public Health Sciences, Department of Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Stephen R Rapp
- Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Youngkyoo Jung
- Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,University of California Davis, Davis, California, USA
| | - Christopher T Whitlow
- Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Maryjo Cleveland
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Benjamin J Williams
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Gregory L Burke
- Division of Public Health Sciences, Department of Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Alain Bertoni
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kathleen M Hayden
- Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Division of Public Health Sciences, Department of Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Timothy M Hughes
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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van Aalst J, Devrome M, Van Weehaeghe D, Rezaei A, Radwan A, Schramm G, Ceccarini J, Sunaert S, Koole M, Van Laere K. Regional glucose metabolic decreases with ageing are associated with microstructural white matter changes: a simultaneous PET/MR study. Eur J Nucl Med Mol Imaging 2021; 49:664-680. [PMID: 34398271 DOI: 10.1007/s00259-021-05518-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 08/02/2021] [Indexed: 12/22/2022]
Abstract
PURPOSE Human ageing is associated with a regional reduction in cerebral neuronal activity as assessed by numerous studies on brain glucose metabolism and perfusion, grey matter (GM) density and white matter (WM) integrity. As glucose metabolism may impact energetics to maintain myelin integrity, but changes in functional connectivity may also alter regional metabolism, we conducted a cross-sectional simultaneous FDG PET/MR study in a large cohort of healthy volunteers with a wide age range, to directly assess the underlying associations between reduced glucose metabolism, GM atrophy and decreased WM integrity in a single ageing cohort. METHODS In 94 healthy subjects between 19.9 and 82.5 years (mean 50.1 ± 17.1; 47 M/47F, MMSE ≥ 28), simultaneous FDG-PET, structural MR and diffusion tensor imaging (DTI) were performed. Voxel-wise associations between age and grey matter (GM) density, RBV partial-volume corrected (PVC) glucose metabolism, white matter (WM) fractional anisotropy (FA) and mean diffusivity (MD), and age were assessed. Clusters representing changes in glucose metabolism correlating significantly with ageing were used as seed regions for tractography. Both linear and quadratic ageing models were investigated. RESULTS An expected age-related reduction in GM density was observed bilaterally in the frontal, lateral and medial temporal cortex, striatum and cerebellum. After PVC, relative FDG uptake was negatively correlated with age in the inferior and midfrontal, cingulate and parietal cortex and subcortical regions, bilaterally. FA decreased with age throughout the entire brain WM. Four white matter tracts were identified connecting brain regions with declining glucose metabolism with age. Within these, relative FDG uptake in both origin and target clusters correlated positively with FA (0.32 ≤ r ≤ 0.71) and negatively with MD (- 0.75 ≤ r ≤ - 0.41). CONCLUSION After appropriate PVC, we demonstrated that regional cerebral glucose metabolic declines with age and that these changes are related to microstructural changes in the interconnecting WM tracts. The temporal course and potential causality between ageing effects on glucose metabolism and WM integrity should be further investigated in longitudinal cohort PET/MR studies.
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Affiliation(s)
- June van Aalst
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Martijn Devrome
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Donatienne Van Weehaeghe
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Division of Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Ahmadreza Rezaei
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Ahmed Radwan
- Translational MRI, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Georg Schramm
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Jenny Ceccarini
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Stefan Sunaert
- Translational MRI, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Michel Koole
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Koen Van Laere
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
- Division of Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium.
- UZ Leuven, Campus Gasthuisberg, Nucleaire Geneeskunde, E901, Herestraat 49, BE-3000 , Leuven, Belgium.
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Elevated complement mediator levels in endothelial-derived plasma exosomes implicate endothelial innate inflammation in diminished brain function of aging humans. Sci Rep 2021; 11:16198. [PMID: 34376699 PMCID: PMC8355229 DOI: 10.1038/s41598-021-91759-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 05/26/2021] [Indexed: 02/04/2023] Open
Abstract
We test the hypothesis that endothelial cells adopt an inflammatory phenotype in functionally intact aged human subjects with radiographic evidence of white matter hyperintensity (WMH) suggestive of small cerebrovascular disease. Components of all three complement effector pathways and regulatory proteins were quantified in extracts of plasma endothelial-derived exosomes (EDE) of 11 subjects (age 70-82) with and 15 without evidence of WMH on MRI. Group differences and associations with plasma markers of immune activation (IL6, ICAM1), cognition and neuroimaging were calculated via regression modelling. EDE complement factors within the alternative and classical pathways were found to be higher and regulatory proteins lower in subjects with WMH. EDE levels of some complement components demonstrated significant associations with cognitive slowing and elevated systolic blood pressure. The inhibitor of the membrane attack complex, CD46, showed a significant positive association with cerebral grey matter volume. Plasma inflammatory markers, IL6 and ICAM1, were positively associated with EDE levels of several complement components. These findings provide the first in vivo evidence of the association of endothelial cell inflammation with white matter disease, age-associated cognitive changes, and brain degeneration in functionally normal older individuals. Future endothelial biomarker development may permit recognition of early or preclinical stages of vascular contributions to cognitive impairment and dementia.
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Salinas J, O’Donnell A, Kojis DJ, Pase MP, DeCarli C, Rentz DM, Berkman LF, Beiser A, Seshadri S. Association of Social Support With Brain Volume and Cognition. JAMA Netw Open 2021; 4:e2121122. [PMID: 34398201 PMCID: PMC8369356 DOI: 10.1001/jamanetworkopen.2021.21122] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
IMPORTANCE Cognitive resilience refers to the general capacity of cognitive processes to be less susceptible to differences in brain structure from age- and disease-related changes. Studies suggest that supportive social networks reduce Alzheimer disease and related disorder (ADRD) risk by enhancing cognitive resilience, but data on specific social support mechanisms are sparse. OBJECTIVE To examine the association of individual forms of social support with a global neuroanatomical measure of early ADRD vulnerability and cognition. DESIGN, SETTING, AND PARTICIPANTS This retrospective cross-sectional analysis used prospectively collected data from Framingham Study participants without dementia, stroke, or other neurological conditions who underwent brain magnetic resonance imaging and neuropsychological testing at the same visit. Data from this large, population-based, longitudinal cohort were collected from June 6, 1997, to December 13, 1999 (original cohort), and from September 11, 1998, to October 26, 2001 (offspring cohort). Data were analyzed from May 22, 2017, to June 1, 2021. EXPOSURES Total cerebral volume and, as a modifying exposure variable, self-reported availability of 5 types of social support measured by the Berkman-Syme Social Network Index. MAIN OUTCOMES AND MEASURES The primary outcome was a global measure of cognitive function. Cognitive resilience was defined as the modification of total cerebral volume's association with cognition, such that smaller β estimates (presented in SD units) indicate greater cognitive resilience (ie, better cognitive performance than estimated by lower total cerebral volume). RESULTS The study included 2171 adults (164 in the original cohort and 2007 in the offspring cohort; mean [SD] age, 63 [10] years; 1183 [54%] female). High listener availability was associated with greater cognitive resilience (β = 0.08, P < .001) compared with low listener availability (β = 0.20, P = .002). Overall findings persisted after adjustment for potential confounders. Other forms of social support were not significant modifiers (advice: β = -0.04; P = .40 for interaction; love-affection: β = -0.07, P = .28 for interaction; emotional support: β = -0.02, P = .73 for interaction; and sufficient contact: β = -0.08; P = .11 for interaction). CONCLUSIONS AND RELEVANCE The results of this cross-sectional cohort study suggest that social support in the form of supportive listening is associated with greater cognitive resilience, independently modifying the association between lower total cerebral volume and poorer cognitive function that would otherwise indicate increased ADRD vulnerability at the preclinical stage. A refined understanding of social support mechanisms has the potential to inform strategies to reduce ADRD risk and enhance cognitive resilience.
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Affiliation(s)
- Joel Salinas
- Center for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, New York
- The Framingham Study, Boston, Massachusetts
- Harvard Center for Population and Development Studies, Harvard University, Cambridge, Massachusetts
| | - Adrienne O’Donnell
- The Framingham Study, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Daniel J. Kojis
- The Framingham Study, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Matthew P. Pase
- The Framingham Study, Boston, Massachusetts
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | | | - Dorene M. Rentz
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Lisa F. Berkman
- Harvard Center for Population and Development Studies, Harvard University, Cambridge, Massachusetts
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Alexa Beiser
- The Framingham Study, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Sudha Seshadri
- The Framingham Study, Boston, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio
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85
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Melo van Lent D, O'Donnell A, Beiser AS, Vasan RS, DeCarli CS, Scarmeas N, Wagner M, Jacques PF, Seshadri S, Himali JJ, Pase MP. Mind Diet Adherence and Cognitive Performance in the Framingham Heart Study. J Alzheimers Dis 2021; 82:827-839. [PMID: 34092629 DOI: 10.3233/jad-201238] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Adherence to the Mediterranean-DASH for Neurodegenerative Delay (MIND) diet has previously been associated with cognitive decline and dementia. To our knowledge, no prior study has investigated the association between the MIND diet and measures of brain volume, silent brain infarcts (SBIs), or brain atrophy. OBJECTIVE We evaluated whether adherence to the MIND diet associated with superior cognitive function, larger brain volumes, fewer SBIs, and less cognitive decline in the community-based Framingham Heart Study. METHODS 2,092 participants (mean±SD, age 61±9) completed Food Frequency Questionnaires, averaged across a maximum of 3-time points (examination cycles 5, 6, and 7), cognitive testing at examination cycle 7 (present study baseline: 1998-2001) and after a mean±SD of 6.6±1.1 years from baseline (n = 1,584). A subset of participants also completed brain magnetic resonance imaging (MRI) at examination cycle 7 (n = 1,904). In addition, participants with dementia, stroke, and other relevant neurological diseases such as significant head trauma, subdural hematoma, or multiple sclerosis were excluded from the analyses. RESULTS Higher MIND diet scores were associated with better global cognitive function (β±SE,+0.03SD±0.01; p = 0.004), verbal memory, visual memory, processing speed, verbal comprehension/reasoning, and with larger total brain volume (TBV) following adjustments for clinical, lifestyle and demographic covariates, but not with other brain MRI measures (i.e., hippocampal volume, lateral ventricular volume, white matter hyperintensity volume, and SBIs) or cognitive decline. CONCLUSION Higher MIND diet scores associated with better cognitive performance and larger TBV at baseline, but not with cognitive decline. Clinical trials are needed to ascertain whether adopting the MIND diet affects trajectories of cognitive decline.
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Affiliation(s)
- Debora Melo van Lent
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA.,German Center for Neurodegenerative Diseases DZNE, Bonn, Germany
| | - Adrienne O'Donnell
- The Framingham Heart Study, Framingham, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Alexa S Beiser
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ramachandran S Vasan
- The Framingham Heart Study, Framingham, MA, USA.,Sections of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Charles S DeCarli
- Department of Neurology, School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California Davis, Davis, CA, USA
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA
| | - Michael Wagner
- German Center for Neurodegenerative Diseases DZNE, Bonn, Germany.,Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Paul F Jacques
- The Framingham Heart Study, Framingham, MA, USA.,Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - Jayandra J Himali
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Matthew P Pase
- The Framingham Heart Study, Framingham, MA, USA.,The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia.,Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
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86
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Comparing the effect of cognitive vs. exercise training on brain MRI outcomes in healthy older adults: A systematic review. Neurosci Biobehav Rev 2021; 128:511-533. [PMID: 34245760 DOI: 10.1016/j.neubiorev.2021.07.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 06/30/2021] [Accepted: 07/05/2021] [Indexed: 11/21/2022]
Abstract
Aging is associated with cognitive decline. Importantly cognition and cerebral health is enhanced with interventions like cognitive (CT) and exercise training (ET). However, effects of CT and ET interventions on brain magnetic resonance imaging outcomes have never been compared systematically. Here, the primary objective was to critically and systematically compare CT to ET in healthy older adults on brain MRI outcomes. A total of 38 studies were included in the final review. Although results were mixed, patterns were identified: CT showed improvements in white matter microstructure, while ET demonstrated macrostructural enhancements, and both demonstrated changes to task-based BOLD signal changes. Importantly, beneficial effects for cognitive and cerebral outcomes were observed by almost all, regardless of intervention type. Overall, it is suggested that future work include more than one MRI outcome, and report all results including null. To better understand the MRI changes associated with CT or ET, more studies explicitly comparing interventions within the same domain (i.e. resistance vs. aerobic) and between domains (i.e. CT vs. ET) are needed.
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87
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Fletcher E, DeCarli C, Fan AP, Knaack A. Convolutional Neural Net Learning Can Achieve Production-Level Brain Segmentation in Structural Magnetic Resonance Imaging. Front Neurosci 2021; 15:683426. [PMID: 34234642 PMCID: PMC8255694 DOI: 10.3389/fnins.2021.683426] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 05/27/2021] [Indexed: 01/18/2023] Open
Abstract
Deep learning implementations using convolutional neural nets have recently demonstrated promise in many areas of medical imaging. In this article we lay out the methods by which we have achieved consistently high quality, high throughput computation of intra-cranial segmentation from whole head magnetic resonance images, an essential but typically time-consuming bottleneck for brain image analysis. We refer to this output as “production-level” because it is suitable for routine use in processing pipelines. Training and testing with an extremely large archive of structural images, our segmentation algorithm performs uniformly well over a wide variety of separate national imaging cohorts, giving Dice metric scores exceeding those of other recent deep learning brain extractions. We describe the components involved to achieve this performance, including size, variety and quality of ground truth, and appropriate neural net architecture. We demonstrate the crucial role of appropriately large and varied datasets, suggesting a less prominent role for algorithm development beyond a threshold of capability.
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Affiliation(s)
- Evan Fletcher
- Department of Neurology, University of California, Davis, Davis, CA, United States
| | - Charles DeCarli
- Department of Neurology, University of California, Davis, Davis, CA, United States
| | - Audrey P Fan
- Department of Neurology, University of California, Davis, Davis, CA, United States.,Department of Biomedical Engineering, University of California, Davis, Davis, CA, United States
| | - Alexander Knaack
- Department of Neurology, University of California, Davis, Davis, CA, United States
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88
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Irimia A. Cross-Sectional Volumes and Trajectories of the Human Brain, Gray Matter, White Matter and Cerebrospinal Fluid in 9473 Typically Aging Adults. Neuroinformatics 2021; 19:347-366. [PMID: 32856237 DOI: 10.1007/s12021-020-09480-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Accurate knowledge of adult human brain volume (BV) is critical for studies of aging- and disease-related brain alterations, and for monitoring the trajectories of neural and cognitive functions in conditions like Alzheimer's disease and traumatic brain injury. This scoping meta-analysis aggregates normative reference values for BV and three related volumetrics-gray matter volume (GMV), white matter volume (WMV) and cerebrospinal fluid volume (CSFV)-from typically-aging adults studied cross-sectionally using magnetic resonance imaging (MRI). Drawing from an aggregate sample of 9473 adults, this study provides (A) regression coefficients β describing the age-dependent trajectories of volumetric measures by sex within the range from 20 to 70 years based on both linear and quadratic models, and (B) average values for BV, GMV, WMV and CSFV at the representative ages of 20 (young age), 45 (middle age) and 70 (old age). The results provided synthesize ~20 years of brain volumetrics research and allow one to estimate BV at any age between 20 and 70. Importantly, however, such estimates should be used and interpreted with caution because they depend on MRI hardware specifications (e.g. scanner manufacturer, magnetic field strength), data acquisition parameters (e.g. spatial resolution, weighting), and brain segmentation algorithms. Guidelines are proposed to facilitate future meta- and mega-analyses of brain volumetrics.
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Affiliation(s)
- Andrei Irimia
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, 3715 McClintock Avenue, Los Angeles, CA, 90089, USA.
- Denney Research Center, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, 1042 Downey Way, Los Angeles, CA, 90089, USA.
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89
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Schulz M, Malherbe C, Cheng B, Thomalla G, Schlemm E. Functional connectivity changes in cerebral small vessel disease - a systematic review of the resting-state MRI literature. BMC Med 2021; 19:103. [PMID: 33947394 PMCID: PMC8097883 DOI: 10.1186/s12916-021-01962-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 03/17/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) is a common neurological disease present in the ageing population that is associated with an increased risk of dementia and stroke. Damage to white matter tracts compromises the substrate for interneuronal connectivity. Analysing resting-state functional magnetic resonance imaging (fMRI) can reveal dysfunctional patterns of brain connectivity and contribute to explaining the pathophysiology of clinical phenotypes in CSVD. MATERIALS AND METHODS This systematic review provides an overview of methods and results of recent resting-state functional MRI studies in patients with CSVD. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol, a systematic search of the literature was performed. RESULTS Of 493 studies that were screened, 44 reports were identified that investigated resting-state fMRI connectivity in the context of cerebral small vessel disease. The risk of bias and heterogeneity of results were moderate to high. Patterns associated with CSVD included disturbed connectivity within and between intrinsic brain networks, in particular the default mode, dorsal attention, frontoparietal control, and salience networks; decoupling of neuronal activity along an anterior-posterior axis; and increases in functional connectivity in the early stage of the disease. CONCLUSION The recent literature provides further evidence for a functional disconnection model of cognitive impairment in CSVD. We suggest that the salience network might play a hitherto underappreciated role in this model. Low quality of evidence and the lack of preregistered multi-centre studies remain challenges to be overcome in the future.
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Affiliation(s)
- Maximilian Schulz
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Caroline Malherbe
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Department of Computational Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Eckhard Schlemm
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
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90
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Mace RA, Gansler DA, Sawyer KS, Suvak M. Age-dependent relationship of cardiorespiratory fitness and white matter integrity. Neurobiol Aging 2021; 105:48-56. [PMID: 34022538 DOI: 10.1016/j.neurobiolaging.2021.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 03/09/2021] [Accepted: 04/13/2021] [Indexed: 02/07/2023]
Abstract
Growing evidence has linked cardiorespiratory fitness (CRF) to more conserved white matter (WM) microstructure. Additional research is needed to determine which WM tracts are most strongly related to CRF and if the neuroprotective effects of CRF are age-dependent. Participants were community-dwelling adults (N = 499; ages 20-85) from the open-access Nathan Kline Institute - Rockland Sample (NKI-RS) with CRF (bike test) and diffusion tensor imaging (DTI) data. Mixed-effect modeling tested the interaction between CRF and age on global (main effect across 9 tracts) and local (individual tract effects) WM microstructure. Among older participants (age ≥ 60), CRF was significantly related to whole-brain (z-score slope = 0.11) and local WM microstructure within several tracts (| z-score slope | range = 0.13 - 0.27). Significant interactions with age indicated that the CRF-WM relationship was weaker (z-score slope ≤ 0.11) and more limited (one WM tract) in younger adults. The findings highlight the importance of aerobic exercise to maintain brain health into senescence. CRF may preferentially preserve a collection of anterior and posterior WM connections related to visuomotor function.
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Affiliation(s)
- Ryan A Mace
- Department of Psychology, Suffolk University, Boston, MA, USA.
| | - David A Gansler
- Department of Psychology, Suffolk University, Boston, MA, USA
| | - Kayle S Sawyer
- VA Boston Healthcare System, Jamaica Plain, MA USA; School of Medicine, Boston University, Boston, MA USA; Massachusetts General Hospital, Charlestown, MA USA; Sawyer Scientific, LLC, Boston, MA USA
| | - Michael Suvak
- Department of Psychology, Suffolk University, Boston, MA, USA
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91
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Knight SP, Laird E, Williamson W, O'Connor J, Newman L, Carey D, De Looze C, Fagan AJ, Chappell MA, Meaney JF, Kenny RA. Obesity is associated with reduced cerebral blood flow - modified by physical activity. Neurobiol Aging 2021; 105:35-47. [PMID: 34022537 PMCID: PMC8600128 DOI: 10.1016/j.neurobiolaging.2021.04.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 03/18/2021] [Accepted: 04/13/2021] [Indexed: 12/11/2022]
Abstract
This study examined the associations of body mass index (BMI), waist-to-hip ratio (WHR), waist circumference (WC), and physical activity (PA) with gray matter cerebral blood flow (CBFGM) in older adults. Cross-sectional data was used from the Irish Longitudinal Study on Ageing (n = 495, age 69.0 ±7.4 years, 52.1% female). Whole-brain CBFGM was quantified using arterial spin labeling MRI. Results from multivariable regression analysis revealed that an increase in BMI of 0.43 kg/m2, WHR of 0.01, or WC of 1.3 cm were associated with the same reduction in CBFGM as 1 year of advancing age. Participants overweight by BMI or with high WHR/WC reporting low/moderate PA had up to 3 ml/100g/min lower CBFGM (p ≤ .011); there was no significant reduction for those reporting high PA. Since PA could potentially moderate obesity/CBF associations, this may be a cost-effective and relatively easy way to help mitigate the negative impact of obesity in an older population, such as cerebral hypoperfusion, which is an early mechanism in vascular dementia and Alzheimer's disease.
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Affiliation(s)
- Silvin P Knight
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland; School of Medicine, Trinity College Dublin, Dublin, Ireland.
| | - Eamon Laird
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland; School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Wilby Williamson
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland; The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - John O'Connor
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland; School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Louise Newman
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland; School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Daniel Carey
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland; School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Celine De Looze
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland; School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Andrew J Fagan
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Michael A Chappell
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK; Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - James F Meaney
- School of Medicine, Trinity College Dublin, Dublin, Ireland; The National Centre for Advanced Medical Imaging (CAMI), St. James's Hospital, Dublin, Ireland
| | - Rose Anne Kenny
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, Dublin, Ireland; School of Medicine, Trinity College Dublin, Dublin, Ireland; The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland; Mercer's Institute for Successful Ageing (MISA), St. James's Hospital, Dublin, Ireland
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92
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Arfanakis K, Evia AM, Leurgans SE, Cardoso LFC, Kulkarni A, Alqam N, Lopes LF, Vieira D, Bennett DA, Schneider JA. Neuropathologic Correlates of White Matter Hyperintensities in a Community-Based Cohort of Older Adults. J Alzheimers Dis 2021; 73:333-345. [PMID: 31771057 PMCID: PMC6996196 DOI: 10.3233/jad-190687] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND The association of white matter hyperintensities (WMH) with age-related vascular and neurodegenerative pathologies remains incompletely understood. OBJECTIVE The objective of this work was to elucidate the neuropathologic correlates of WMH in a large community-based cohort of older adults. METHODS Cerebral hemispheres from 603 community-based older adults were imaged with MRI ex vivo. All participants underwent annual clinical evaluation, cognitive assessment, and neuropathologic examination. WMH burden was assessed using a modified Fazekas rating scale. Multiple ordinal logistic regression was used to test the association of WMH burden with an array of age-related neuropathologies, adjusting for demographics. Mixed effects models of cognition controlling for neuropathologies and demographics were used to determine whether WMH burden contributes to cognitive decline beyond measured pathologies. RESULTS WMH burden in the whole group was associated with both vascular and Alzheimer's disease (AD) pathologies: arteriolosclerosis (p < 10-4), gross (p < 10-4), and microscopic infarcts (p = 0.04), and amyloid-β plaques (p = 0.028). In non-demented participants (mild or no cognitive impairment) (N = 332), WMH burden was related to gross infarcts (p = 10-4) and arteriolosclerosis (p < 10-4), but not to AD pathology. Similarly, in those with no cognitive impairment (N = 178), WMH burden was related to gross infarcts (p = 8×10-4) and arteriolosclerosis (p = 0.014). WMH burden was associated with faster decline in perceptual speed in both the whole (p = 0.038) and non-demented (p = 0.006) groups. CONCLUSION WMH burden has independent associations with vascular pathologies in older adults regardless of clinical status, and with AD pathology later in the progression of AD. Moreover, WMH burden may reflect additional tissue injury not captured with traditional neuropathologic indices.
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Affiliation(s)
- Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.,Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Arnold M Evia
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Luis F C Cardoso
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Arman Kulkarni
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Nabil Alqam
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Lucas F Lopes
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Diego Vieira
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.,Department of Pathology, Rush University Medical Center, Chicago, IL, USA
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93
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Vemuri P, Graff-Radford J, Lesnick TG, Przybelski SA, Reid RI, Reddy AL, Lowe VJ, Mielke MM, Machulda MM, Petersen RC, Knopman DS, Jack CR. White matter abnormalities are key components of cerebrovascular disease impacting cognitive decline. Brain Commun 2021; 3:fcab076. [PMID: 33937772 PMCID: PMC8072521 DOI: 10.1093/braincomms/fcab076] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/04/2021] [Indexed: 11/14/2022] Open
Abstract
While cerebrovascular disease can be observed in vivo using MRI, the multiplicity and heterogeneity in the mechanisms of cerebrovascular damage impede accounting for these measures in ageing and dementia studies. Our primary goal was to investigate the key sources of variability across MRI markers of cerebrovascular disease and evaluate their impact in comparison to amyloidosis on cognitive decline in a population-based sample. Our secondary goal was to evaluate the prognostic utility of a cerebrovascular summary measure from all markers. We included both visible lesions seen on MRI (white matter hyperintensities, cortical and subcortical infarctions, lobar and deep microbleeds) and early white matter damage due to systemic vascular health using diffusion changes in the genu of the corpus callosum. We identified 1089 individuals aged ≥60 years with concurrent amyloid-PET and MRI scans from the population-based Mayo Clinic Study of Aging. We divided these into discovery and validation datasets. Using the discovery dataset, we conducted principal component analyses and ascertained the main sources of variability in cerebrovascular disease markers. Using linear regression and mixed effect models, we evaluated the utility of these principal components and combinations of these components for the prediction of cognitive performance along with amyloidosis. Our main findings were (i) there were three primary sources of variability among the CVD measures-white matter changes are driven by white matter hyperintensities and diffusion changes; number of microbleeds (lobar and deep); and number of infarctions (cortical and subcortical); (ii) Components of white matter changes and microbleeds but not infarctions significantly predicted cognition trajectories in all domains with greater contributions from white matter; and (iii) The summary vascular score explained 3-5% of variability in baseline global cognition in comparison to 3-6% variability explained by amyloidosis. Across all cognitive domains, the vascular summary score had the least impact on memory performance (∼1%). Though there is mechanistic heterogeneity in the cerebrovascular disease markers measured on MRI, these changes can be grouped into three components and together explain variability in cognitive performance equivalent to the impact of amyloidosis on cognition. White matter changes represent dynamic ongoing damage, predicts future cognitive decline across all domains and diffusion measurements help capture white matter damage due to systemic vascular changes. Therefore, measuring and accounting for white matter changes using diffusion MRI and white matter hyperintensities along with microbleeds will allow us to capture vascular contributions to cognitive impairment and dementia.
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Affiliation(s)
| | | | - Timothy G Lesnick
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Scott A Przybelski
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Robert I Reid
- Department of Information Technology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Michelle M Mielke
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Mary M Machulda
- Department of Psychiatry/Psychology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
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94
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Piers RJ, Liu Y, Ang TFA, Tao Q, Au R, Qiu WQ. Association Between Elevated Depressive Symptoms and Cognitive Function Moderated by APOE4 Status: Framingham Offspring Study. J Alzheimers Dis 2021; 80:1269-1279. [PMID: 33646152 DOI: 10.3233/jad-200998] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Depression and Apolipoprotein E4 (APOE4) are associated with decreased cognitive function and differences in brain structure. OBJECTIVE This study investigated whether APOE4 status moderates the association between elevated depressive symptoms, cognitive function, and brain structure. METHODS Stroke- and dementia-free participants (n = 1,968) underwent neuropsychological evaluation, brain MRI, and depression screening. Linear and logistic regression was used to examine all associations. Secondary analyses were performed using interaction terms to assess effect modification by APOE4 status. RESULTS Elevated depressive symptoms were associated with lower cognitive performance in several domains. In stratified analyses, elevated depressive symptoms were associated with poorer visual short- and long-term memory performance for APOE4 + participants. Elevated depressive symptoms were not associated with any brain structure in this study sample. CONCLUSION Elevated depressive symptoms impact cognitive function in non-demented individuals. Having the APOE4 allele may exacerbate the deleterious effects of elevated depressive symptoms on visual memory performance. Screening for elevated depressive symptoms in both research studies and clinical practice may be warranted to avoid false positive identification of neurodegeneration, particularly among those who are APOE4 + .
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Affiliation(s)
- Ryan J Piers
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Yulin Liu
- The Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Ting F A Ang
- The Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.,Slone Epidemiology Center, Boston University School of Medicine, Boston, MA, USA
| | - Qiushan Tao
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA
| | - Rhoda Au
- The Framingham Heart Study, Boston University School of Medicine, Boston, MA, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.,Slone Epidemiology Center, Boston University School of Medicine, Boston, MA, USA.,Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.,Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA
| | - Wei Qiao Qiu
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA.,Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, USA.,Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
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95
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Suvila K, Lima JA, Yano Y, Tan ZS, Cheng S, Niiranen TJ. Early-but Not Late-Onset Hypertension Is Related to Midlife Cognitive Function. Hypertension 2021; 77:972-979. [PMID: 33461314 PMCID: PMC7878356 DOI: 10.1161/hypertensionaha.120.16556] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 12/16/2020] [Indexed: 12/16/2022]
Abstract
Hypertension is related to increased risk of cognitive decline in a highly age-dependent manner. However, conflicting evidence exists on the relation between age of hypertension onset and cognition. Our goal was to investigate the association between early- versus late-onset hypertension and midlife cognitive performance in 2946 CARDIA study (Coronary Artery Risk Development in Young Adults) participants (mean age 55±4, 57% women). The participants underwent 9 repeat examinations, including blood pressure measurements, between 1985 to 1986 and 2015 to 2016. The participants underwent brain magnetic resonance imaging and completed Digit Symbol Substitution Test, Rey Auditory Verbal Learning Test, Stroop interference test, and the Montreal Cognitive Assessment to evaluate cognitive function at the year 30 exam. We assessed the relation between age of hypertension onset and cognitive function using linear regression models adjusted for cognitive decline risk factors, including systolic blood pressure. We observed that individuals with early-onset hypertension (onset at <35 years) had 0.24±0.09, 0.22±0.10, 0.27±0.09, and 0.19±0.07 lower standardized Z-scores in Digit Symbol Substitution Test, Stroop test, Montreal Cognitive Assessment, and a composite cognitive score than participants without hypertension (P<0.05 for all). In contrast, hypertension onset at ≥35 years was not associated with cognitive function (P >0.05 for all). In a subgroup of 559 participants, neither early- nor late-onset hypertension was related to macrostructural brain alterations (P >0.05 for all). Our results indicate that early-onset hypertension is a potent risk factor for midlife cognitive impairment. Thus, age of hypertension onset assessment in clinical practice could improve risk stratification of cognitive decline in patients with hypertension.
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Affiliation(s)
- Karri Suvila
- Division of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Joao A.C. Lima
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yuichiro Yano
- Department of Family Medicine and Community Health, Duke University, Durham, USA
| | - Zaldy S. Tan
- Department of Neurology, Jona Goldrich Center for Alzheimer’s and Memory Disorders, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Susan Cheng
- Division of Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, USA
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, USA
- Framingham Heart Study, Framingham, USA
| | - Teemu J. Niiranen
- Division of Medicine, Turku University Hospital and University of Turku, Turku, Finland
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Turku, Finland
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96
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Levine DA, Gross AL, Briceño EM, Tilton N, Giordani BJ, Sussman JB, Hayward RA, Burke JF, Hingtgen S, Elkind MSV, Manly JJ, Gottesman RF, Gaskin DJ, Sidney S, Sacco RL, Tom SE, Wright CB, Yaffe K, Galecki AT. Sex Differences in Cognitive Decline Among US Adults. JAMA Netw Open 2021; 4:e210169. [PMID: 33630089 PMCID: PMC7907956 DOI: 10.1001/jamanetworkopen.2021.0169] [Citation(s) in RCA: 183] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/06/2021] [Indexed: 12/11/2022] Open
Abstract
Importance Sex differences in dementia risk are unclear, but some studies have found greater risk for women. Objective To determine associations between sex and cognitive decline in order to better understand sex differences in dementia risk. Design, Setting, and Participants This cohort study used pooled analysis of individual participant data from 5 cohort studies for years 1971 to 2017: Atherosclerosis Risk in Communities Study, Coronary Artery Risk Development in Young Adults Study, Cardiovascular Health Study, Framingham Offspring Study, and Northern Manhattan Study. Linear mixed-effects models were used to estimate changes in each continuous cognitive outcome over time by sex. Data analysis was completed from March 2019 to October 2020. Exposure Sex. Main Outcomes and Measures The primary outcome was change in global cognition. Secondary outcomes were change in memory and executive function. Outcomes were standardized as t scores (mean [SD], 50 [10]); a 1-point difference represents a 0.1-SD difference in cognition. Results Among 34 349 participants, 26 088 who self-reported Black or White race, were free of stroke and dementia, and had covariate data at or before the first cognitive assessment were included for analysis. Median (interquartile range) follow-up was 7.9 (5.3-20.5) years. There were 11 775 (44.7%) men (median [interquartile range] age, 58 [51-66] years at first cognitive assessment; 2229 [18.9%] Black) and 14 313 women (median [interquartile range] age, 58 [51-67] years at first cognitive assessment; 3636 [25.4%] Black). Women had significantly higher baseline performance than men in global cognition (2.20 points higher; 95% CI, 2.04 to 2.35 points; P < .001), executive function (2.13 points higher; 95% CI, 1.98 to 2.29 points; P < .001), and memory (1.89 points higher; 95% CI, 1.72 to 2.06 points; P < .001). Compared with men, women had significantly faster declines in global cognition (-0.07 points/y faster; 95% CI, -0.08 to -0.05 points/y; P < .001) and executive function (-0.06 points/y faster; 95% CI, -0.07 to -0.05 points/y; P < .001). Men and women had similar declines in memory (-0.004 points/y faster; 95% CI, -0.023 to 0.014; P = .61). Conclusions and Relevance The results of this cohort study suggest that women may have greater cognitive reserve but faster cognitive decline than men, which could contribute to sex differences in late-life dementia.
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Affiliation(s)
- Deborah A. Levine
- Cognitive Health Services Research Program, Department of Internal Medicine, University of Michigan, Ann Arbor
- Department of Neurology and Stroke Program, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Emily M. Briceño
- Cognitive Health Services Research Program, Department of Internal Medicine, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor
| | - Nicholas Tilton
- Cognitive Health Services Research Program, Department of Internal Medicine, University of Michigan, Ann Arbor
| | - Bruno J. Giordani
- Department of Psychiatry, University of Michigan, Ann Arbor
- Michigan Alzheimer’s Disease Center, University of Michigan, Ann Arbor
| | - Jeremy B. Sussman
- Cognitive Health Services Research Program, Department of Internal Medicine, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Rodney A. Hayward
- Cognitive Health Services Research Program, Department of Internal Medicine, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - James F. Burke
- Department of Neurology and Stroke Program, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Stephanie Hingtgen
- Cognitive Health Services Research Program, Department of Internal Medicine, University of Michigan, Ann Arbor
| | - Mitchell S. V. Elkind
- Vagelos College of Physicians and Surgeons, Department of Neurology, Columbia University, New York, New York
- Mailman School of Public Health, Department of Epidemiology, Columbia University, New York, New York
| | - Jennifer J. Manly
- Vagelos College of Physicians and Surgeons, Department of Neurology, Columbia University, New York, New York
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, New York
| | | | - Darrell J. Gaskin
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Stephen Sidney
- Kaiser Permanente Northern California Division of Research, Oakland
| | - Ralph L. Sacco
- Department of Neurology, University of Miami, Miami, Florida
| | - Sarah E. Tom
- Vagelos College of Physicians and Surgeons, Department of Neurology, Columbia University, New York, New York
- Mailman School of Public Health, Department of Epidemiology, Columbia University, New York, New York
| | - Clinton B. Wright
- Division of Clinical Research, National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, Maryland
| | - Kristine Yaffe
- Department of Psychiatry, University of California, San Francisco
- Department of Neurology, University of California, San Francisco
- Department of Epidemiology, University of California, San Francisco
| | - Andrzej T. Galecki
- Cognitive Health Services Research Program, Department of Internal Medicine, University of Michigan, Ann Arbor
- Department of Biostatistics, University of Michigan, Ann Arbor
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97
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Than S, Moran C, Beare R, Vincent AJ, Collyer TA, Wang W, Callisaya ML, Thomson R, Phan TG, Fornito A, Srikanth VK. Interactions Between Age, Sex, Menopause, and Brain Structure at Midlife: A UK Biobank Study. J Clin Endocrinol Metab 2021; 106:410-420. [PMID: 33205159 DOI: 10.1210/clinem/dgaa847] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Indexed: 11/19/2022]
Abstract
OBJECTIVES Age and female sex are risk factors for dementia, and menopause is associated with cognitive dysfunction. Previous work largely considered the effects of sex and menopause as being independent of age. We studied whether age interacts with sex or menopause in explaining imaging biomarkers of dementia during midlife. METHODS In this cross-sectional study of UK Biobank participants with brain magnetic resonance imaging (MRI), we explored the interaction of age with sex or menopausal status in explaining total brain volume (TBV), gray matter volume (GMV), white matter volume (WMV), white matter hyperintensity volume (WMHV), regional cortical volume , and subcortical volume. RESULTS Data were available for 1827 postmenopausal women, 230 pre/perimenopausal women and 2165 men (median age 63.3 years). There was a significant interaction between age and sex (P = .024) for TBV, where the inverse association age with TBV was steeper in women (β = -5.35 mL/year) than in men (β = -4.77 mL/year). Similar age-sex interactions were also observed for GMV and WMV. In women, there was a significant interaction between age and menopausal status (P = .007) where the inverse association of age with TBV was steeper in postmenopausal (β = -5.89 mL/year) than in pre/perimenopausal women (β = -1.61 mL/year). Similar age-menopause interactions were found in predicting lower GMV and higher WMHV. Differences in the direction of these age-sex and age-menopause interactions were found for regional cortical and subcortical brain volumes. CONCLUSION Sex and menopause both interact with age during midlife in explaining MRI biomarkers of dementia. Further work is required to understand the mechanisms driving these interactions to develop strategies for delaying dementia.
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Affiliation(s)
- Stephanie Than
- Academic Unit, Peninsula Clinical School, Central Clinical School, Melbourne, Monash University, Victoria, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, Victoria, Australia
| | - Chris Moran
- Academic Unit, Peninsula Clinical School, Central Clinical School, Melbourne, Monash University, Victoria, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, Victoria, Australia
| | - Richard Beare
- Academic Unit, Peninsula Clinical School, Central Clinical School, Melbourne, Monash University, Victoria, Australia
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Amanda J Vincent
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Endocrinology, Monash Health, Melbourne, Victoria, Australia
| | - Taya A Collyer
- Academic Unit, Peninsula Clinical School, Central Clinical School, Melbourne, Monash University, Victoria, Australia
| | - Wei Wang
- Academic Unit, Peninsula Clinical School, Central Clinical School, Melbourne, Monash University, Victoria, Australia
- Department of Clinical Epidemiology, School of Public Health and Preventative Medicine, Cabrini Institute, Monash University, Melbourne, Victoria, Australia
| | - Michele L Callisaya
- Academic Unit, Peninsula Clinical School, Central Clinical School, Melbourne, Monash University, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Russell Thomson
- Centre for Research in Mathematics, Western Sydney University, Sydney, New South Wales, Australia
| | - Thanh G Phan
- Stroke and Aging Research Group, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia
| | - Alex Fornito
- Monash Biomedical Imaging, School of Psychological Science, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Velandai K Srikanth
- Academic Unit, Peninsula Clinical School, Central Clinical School, Melbourne, Monash University, Victoria, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, Victoria, Australia
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98
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Kim YD, Kim JY, Park YJ, Park SJ, Baik SH, Kang J, Jung C, Woo SJ. Cerebral magnetic resonance imaging of coincidental infarction and small vessel disease in retinal artery occlusion. Sci Rep 2021; 11:864. [PMID: 33441709 PMCID: PMC7806736 DOI: 10.1038/s41598-020-80014-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 12/14/2020] [Indexed: 12/14/2022] Open
Abstract
There are several reports in the literature on the association between non-arteritic retinal artery occlusion (NA-RAO) and acute ischemic stroke. We investigated the burden of small vessel disease (SVD) and cerebral coincident infarction observed on cerebral magnetic resonance imaging (MRI) in patients with newly diagnosed NA-RAO. In this retrospective, observational, case-series study, consecutive patients with NA-RAO who underwent cerebral MRI within one month of diagnosis between September 2003 and October 2018 were included. The classification of NA-RAO was based on ophthalmologic and systemic examinations. We also investigated the co-incident infarction and burden of underlying SVD, which were categorized as white matter hyperintensity lesion (WMH), cerebral microbleeds (CMB), and silent lacunar infarction (SLI). Among the 272 patients enrolled in the study, 18% presented co-incident infarction and 73% had SVD, which included WMH (70%), CMB (14%), and SLI (30%). Co-incident infarction, WMH, and SLI significantly increased with age: co-incident infarction was observed in 8% of young (< 50 years) patients and 30% of old (≥ 70 years) patients. The embolic etiology of RAO (large artery atherosclerosis, cardioembolism, and undetermined etiology) was significantly associated with the prevalence of SVD (82%: 70%: 64%, P = 0.002) and co-incident infarction (30%: 19%: 8%; P = 0.009). Therefore, high co-incidence of acute cerebral infarction and underlying SVD burden warrant careful neurologic examination and appropriate brain imaging, followed by management of NA-RAO. Urgent brain imaging is particularly pertinent in elderly patients with NA-RAO.
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Affiliation(s)
- Yong Dae Kim
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.,Department of Ophthalmology, Kangdong Sacred Heart Hospital, Seoul, South Korea
| | - Jun Yup Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.,Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Young Joo Park
- Department of Ophthalmology, Kangwon National University Hospital, Chuncheon, South Korea
| | - Sang Jun Park
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea
| | - Sung Hyun Baik
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea
| | - Jihoon Kang
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Cheolkyu Jung
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
| | - Se Joon Woo
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
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99
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Liu Y, Xia Y, Wang X, Wang Y, Zhang D, Nguchu BA, He J, Wang Y, Yang L, Wang Y, Ying Y, Liang X, Zhao Q, Wu J, Liang Z, Ding D, Dong Q, Qiu B, Cheng X, Gao JH. White matter hyperintensities induce distal deficits in the connected fibers. Hum Brain Mapp 2021; 42:1910-1919. [PMID: 33417309 PMCID: PMC7978134 DOI: 10.1002/hbm.25338] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 12/20/2020] [Accepted: 12/25/2020] [Indexed: 12/20/2022] Open
Abstract
White matter hyperintensities (WMH) are common in elderly individuals and cause brain network deficits. However, it is still unclear how the global brain network is affected by the focal WMH. We aimed to investigate the diffusion of WMH-related deficits along the connecting white matters (WM). Brain magnetic resonance imaging data and neuropsychological evaluations of 174 participants (aged 74 ± 5 years) were collected and analyzed. For each participant, WMH lesions were segmented using a deep learning method, and 18 major WM tracts were reconstructed using automated quantitative tractography. The diffusion characteristics of distal WM tracts (with the WMH penumbra excluded) were calculated. Multivariable linear regression analysis was performed. We found that a high burden of tract-specific WMH was related to worse diffusion characteristics of distal WM tracts in a wide range of WM tracts, including the forceps major (FMA), forceps minor (FMI), anterior thalamic radiation (ATR), cingulum cingulate gyrus (CCG), corticospinal tract (CST), inferior longitudinal fasciculus (ILF), superior longitudinal fasciculus-parietal (SLFP), superior longitudinal fasciculus-temporal (SLFT), and uncinate fasciculus (UNC). Furthermore, a higher mean diffusivity (MD) of distal tracts was linked to worse attention and executive function in the FMI, right CCG, left ILF, SLFP, SLFT, and UNC. The effect of WMH on the microstructural integrity of WM tracts may propagate along tracts to distal regions beyond the penumbra and might eventually affect attention and executive function.
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Affiliation(s)
- Yanpeng Liu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yiwei Xia
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Xiaoxiao Wang
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yanming Wang
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Du Zhang
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Benedictor Alexander Nguchu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Jiajie He
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yi Wang
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Lumeng Yang
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yiqing Wang
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yunqing Ying
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Institute of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianjun Wu
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China.,Department of Neurology, Jing'an District Center Hospital, Shanghai, China
| | - Zonghui Liang
- Department of Radiology, Jing'an District Center Hospital, Shanghai, China
| | - Ding Ding
- Institute of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Bensheng Qiu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Xin Cheng
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Jia-Hong Gao
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China.,Center for MRI Research and Beijing City Key Lab for Medical Physics and Engineering, Peking University, Beijing, China.,McGovern Institute for Brain Research, Peking University, Beijing, China
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100
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Moran C, Gilsanz P, Beeri MS, Whitmer RA, Lacy ME. Sex, diabetes status and cognition: findings from the study of longevity in diabetes. BMJ Open Diabetes Res Care 2021; 9:9/1/e001646. [PMID: 33509934 PMCID: PMC7845709 DOI: 10.1136/bmjdrc-2020-001646] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 09/02/2020] [Accepted: 12/20/2020] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Women comprise two-thirds of people with dementia, making female sex a significant dementia risk factor. Both type 1 diabetes (T1D) and type 2 diabetes (T2D) are known dementia risk factors with an increasing global incidence. Understanding whether subtle sex differences persist in cognitive function prior to dementia in the context of diabetes may help elucidate the magnitude of sex effects on dementia risk. RESEARCH DESIGN AND METHODS We examined cross-sectional data from the Study of Longevity in Diabetes (SOLID), a prospective cohort study of members of Kaiser Permanente Northern California aged 60 years and older with T1D (n=758), T2D (n=232) and without either T1D or T2D (n=247). We used factor analysis to generate summary scores of cognitive domains and used regression analyses to examine the associations between sex and cognition adjusting for sociodemographic and cardiovascular confounders. RESULTS We included 1237 participants (630 women and 607 men) with mean age 68 years. By design, the distribution of men and women in T1D, T2D and no diabetes was similar. Women had better cognitive performance than men in global cognition (β=0.21, 95% CI 0.16 to 0.26), language (β=0.08, 95% CI 0.004 to 0.15), executive function (β=0.13, 95% CI 0.05 to 0.20), episodic verbal memory (β=0.68, 95% CI 0.59 to 0.77) and attention (β=0.20, 95% CI 0.11 to 0.28) but not in episodic visual memory (β=0.006, 95% CI -0.07 to 0.09) adjusting for age and education independent of diabetes status. We did not find an interaction between sex and diabetes status for any of the cognitive outcomes. CONCLUSIONS Women in late mid-life have better cognitive performance than men in many cognitive domains independent of the presence of T1D or T2D. Further work is required to understand whether these differences change over time or in older cohorts and to understand their relationship to subsequent dementia.
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Affiliation(s)
- Chris Moran
- Academic Unit, Peninsula Clinical School, Monash University Central Clinical School, Melbourne, Victoria, Australia
- Peninsula Health, Frankston, Victoria, Australia
| | - Paola Gilsanz
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Michal S Beeri
- Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Joseph Sagol Neuroscience, Sheba Medical Center, Tel Hashomer, Israel
| | - Rachel A Whitmer
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
- Department of Epidemiology, University of California Davis School of Medicine, Davis, California, USA
| | - Mary E Lacy
- Department of Epidemiology, University of Kentucky, Lexington, Kentucky, USA
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