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Cong CH, Li PL, Qiao Y, Li YN, Yang JT, Zhao L, Zhu XR, Tian S, Cao SS, Liu JR, Su JJ. Association between household size and risk of incident dementia in the UK Biobank study. Sci Rep 2024; 14:11026. [PMID: 38744903 PMCID: PMC11094068 DOI: 10.1038/s41598-024-61102-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 05/02/2024] [Indexed: 05/16/2024] Open
Abstract
Currently, the relationship between household size and incident dementia, along with the underlying neurobiological mechanisms, remains unclear. This prospective cohort study was based on UK Biobank participants aged ≥ 50 years without a history of dementia. The linear and non-linear longitudinal association was assessed using Cox proportional hazards regression and restricted cubic spline models. Additionally, the potential mechanisms driven by brain structures were investigated by linear regression models. We included 275,629 participants (mean age at baseline 60.45 years [SD 5.39]). Over a mean follow-up of 9.5 years, 6031 individuals developed all-cause dementia. Multivariable analyses revealed that smaller household size was associated with an increased risk of all-cause dementia (HR, 1.06; 95% CI 1.02-1.09), vascular dementia (HR, 1.08; 95% CI 1.01-1.15), and non-Alzheimer's disease non-vascular dementia (HR, 1.09; 95% CI 1.03-1.14). No significant association was observed for Alzheimer's disease. Restricted cubic splines demonstrated a reversed J-shaped relationship between household size and all-cause and cause-specific dementia. Additionally, substantial associations existed between household size and brain structures. Our findings suggest that small household size is a risk factor for dementia. Additionally, brain structural differences related to household size support these associations. Household size may thus be a potential modifiable risk factor for dementia.
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Affiliation(s)
- Chao-Hua Cong
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Pan-Long Li
- Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, No. 7 Weiwu Road, Zhengzhou, 450001, China
- School of Electrical and Information Engineering, Zhengzhou University of Light Industry, No. 5 Dongfeng Road, Zhengzhou, 450001, China
| | - Yuan Qiao
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Yu-Na Li
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Jun-Ting Yang
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Lei Zhao
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Xi-Rui Zhu
- School of Electrical and Information Engineering, Zhengzhou University of Light Industry, No. 5 Dongfeng Road, Zhengzhou, 450001, China
| | - Shan Tian
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China
| | - Shan-Shan Cao
- Department of Neurology, Gongli Hospital of Shanghai Pudong New Area, No. 219 Miaopu Road, Pudong New District, Shanghai, 200135, China
| | - Jian-Ren Liu
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China.
| | - Jing-Jing Su
- Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizhaoju Road, Huangpu District, Shanghai, 200011, China.
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Pfefferbaum A, Zhao Q, Pohl KM, Sassoon SA, Zahr NM, Sullivan EV. Age-Accelerated Increase of White Matter Hyperintensity Volumes Is Exacerbated by Heavy Alcohol Use in People Living With HIV. Biol Psychiatry 2024; 95:231-244. [PMID: 37597798 PMCID: PMC10840832 DOI: 10.1016/j.biopsych.2023.07.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/13/2023] [Accepted: 07/30/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND Antiretroviral treatment has enabled people living with HIV infection to have a near-normal life span. With longevity comes opportunities for engaging in risky behavior, including initiation of excessive drinking. Given that both HIV infection and alcohol use disorder (AUD) can disrupt brain white matter integrity, we questioned whether HIV infection, even if successfully treated, or AUD alone results in signs of accelerated white matter aging and whether HIV+AUD comorbidity further accelerates brain aging. METHODS Longitudinal magnetic resonance imaging-FLAIR data were acquired over a 15-year period from 179 control individuals, 204 participants with AUD, 70 participants with HIV, and 75 participants with comorbid HIV+AUD. White matter hyperintensity (WMH) volumes were quantified and localized, and their functional relevance was examined with cognitive and motor testing. RESULTS The 3 diagnostic groups each had larger WMH volumes than the control group. Although all 4 groups exhibited accelerating volume increases with aging, only the HIV groups showed faster WMH enlargement than control individuals; the comorbid group showed faster acceleration than the HIV-only group. Sex and HIV infection length, but not viral suppression status, moderated acceleration. Correlations emerged between WMH volumes and attention/working memory and executive function scores of the AUD and HIV groups and between WMH volumes and motor skills in the 3 diagnostic groups. CONCLUSIONS Even treated HIV can show accelerated aging, possibly from treatment sequelae or legacy effects, and notably from AUD comorbidity. WMH volumes may be especially relevant for tracking HIV and AUD brain health because each condition is associated with liability for hypertensive processes, for which WMHs are considered a marker.
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Affiliation(s)
- Adolf Pfefferbaum
- Center for Health Sciences, SRI International, Menlo Park, California; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Qingyu Zhao
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Kilian M Pohl
- Center for Health Sciences, SRI International, Menlo Park, California; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | | | - Natalie M Zahr
- Center for Health Sciences, SRI International, Menlo Park, California; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Edith V Sullivan
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California.
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Vadinova V, Sihvonen AJ, Wee F, Garden KL, Ziraldo L, Roxbury T, O'Brien K, Copland DA, McMahon KL, Brownsett SLE. The volume and the distribution of premorbid white matter hyperintensities: Impact on post-stroke aphasia. Hum Brain Mapp 2024; 45:e26568. [PMID: 38224539 PMCID: PMC10789210 DOI: 10.1002/hbm.26568] [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: 01/18/2023] [Revised: 11/29/2023] [Accepted: 12/04/2023] [Indexed: 01/17/2024] Open
Abstract
White matter hyperintensities (WMH) are a radiological manifestation of progressive white matter integrity loss. The total volume and distribution of WMH within the corpus callosum have been associated with pathological cognitive ageing processes but have not been considered in relation to post-stroke aphasia outcomes. We investigated the contribution of both the total volume of WMH, and the extent of WMH lesion load in the corpus callosum to the recovery of language after first-ever stroke. Behavioural and neuroimaging data from individuals (N = 37) with a left-hemisphere stroke were included at the early subacute stage of recovery. Spoken language comprehension and production abilities were assessed using word and sentence-level tasks. Neuroimaging data was used to derive stroke lesion variables (volume and lesion load to language critical regions) and WMH variables (WMH volume and lesion load to three callosal segments). WMH volume did not predict variance in language measures, when considered together with stroke lesion and demographic variables. However, WMH lesion load in the forceps minor segment of the corpus callosum explained variance in early subacute comprehension abilities (t = -2.59, p = .01) together with corrected stroke lesion volume and socio-demographic variables. Premorbid WMH lesions in the forceps minor were negatively associated with early subacute language comprehension after aphasic stroke. This negative impact of callosal WMH on language is consistent with converging evidence from pathological ageing suggesting that callosal WMH disrupt the neural networks supporting a range of cognitive functions.
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Affiliation(s)
- Veronika Vadinova
- Queensland Aphasia Research CentreUniversity of QueenslandBrisbaneAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneAustralia
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneAustralia
| | - A. J. Sihvonen
- Queensland Aphasia Research CentreUniversity of QueenslandBrisbaneAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneAustralia
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneAustralia
- Cognitive Brain Research Unit (CBRU)University of HelsinkiHelsinkiFinland
- Centre of Excellence in Music, Mind, Body and BrainUniversity of HelsinkiHelsinkiFinland
| | - F. Wee
- Queensland Aphasia Research CentreUniversity of QueenslandBrisbaneAustralia
| | - K. L. Garden
- Queensland Aphasia Research CentreUniversity of QueenslandBrisbaneAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneAustralia
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneAustralia
| | - L. Ziraldo
- Queensland Aphasia Research CentreUniversity of QueenslandBrisbaneAustralia
| | - T. Roxbury
- Queensland Aphasia Research CentreUniversity of QueenslandBrisbaneAustralia
| | - K. O'Brien
- Queensland Aphasia Research CentreUniversity of QueenslandBrisbaneAustralia
| | - D. A. Copland
- Queensland Aphasia Research CentreUniversity of QueenslandBrisbaneAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneAustralia
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneAustralia
| | - K. L. McMahon
- School of Clinical Sciences, Centre for Biomedical TechnologiesQueensland University of TechnologyBrisbaneAustralia
| | - S. L. E. Brownsett
- Queensland Aphasia Research CentreUniversity of QueenslandBrisbaneAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneAustralia
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneAustralia
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Lin K, Wen W, Lipnicki DM, Mewton L, Chen R, Du J, Wang D, Skoog I, Sterner TR, Najar J, Kim KW, Han JW, Kim JS, Ng TP, Ho R, Chua DQL, Anstey KJ, Cherbuin N, Mortby ME, Brodaty H, Kochan N, Sachdev PS, Jiang J. Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: The COSMIC consortium. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12567. [PMID: 38487075 PMCID: PMC10937819 DOI: 10.1002/dad2.12567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/18/2024] [Accepted: 02/06/2024] [Indexed: 03/17/2024]
Abstract
INTRODUCTION White matter hyperintensities (WMHs) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well documented in populations of different ethnicities and/or from different geographical regions. METHODS We investigated how WMHs were associated with vascular risk factors and cognition in both Whites and Asians, using data from five population-based cohorts of non-demented older individuals from Australia, Singapore, South Korea, and Sweden (N = 1946). WMH volumes (whole brain, periventricular, and deep) were quantified with UBO Detector and harmonized using the ComBat model. We also harmonized various vascular risk factors and scores for global cognition and individual cognitive domains. RESULTS Factors associated with larger whole brain WMH volumes included diabetes, hypertension, stroke, current smoking, body mass index, higher alcohol intake, and insufficient physical activity. Hypertension and stroke had stronger associations with WMH volumes in Whites than in Asians. No associations between WMH volumes and cognitive performance were found after correction for multiple testing. CONCLUSION The current study highlights ethnic differences in the contributions of vascular risk factors to WMHs.
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Affiliation(s)
- Keshuo Lin
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Wei Wen
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Darren M. Lipnicki
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Louise Mewton
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Rory Chen
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Jing Du
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Dadong Wang
- Quantitative Imaging Research TeamCSIRO Informatics and StatisticsNorth RydeNew South WalesAustralia
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology UnitDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and Health (AGECAP)University of GothenburgGothenburgSweden
- Psychiatry, Cognition and Old Age Psychiatry ClinicSahlgrenska University HospitalGothenburgSweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology UnitDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and Health (AGECAP)University of GothenburgGothenburgSweden
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology UnitDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and Health (AGECAP)University of GothenburgGothenburgSweden
- Section Genomics of Neurodegenerative Diseases and AgingDepartment of Human GeneticsAmsterdam Universitair Medische CentraAmsterdamthe Netherlands
| | - Ki Woong Kim
- Department of NeuropsychiatrySeoul National University Bundang HospitalSeongnamSouth Korea
- Department of PsychiatrySeoul National University College of MedicineSeoulSouth Korea
- Department of Brain and Cognitive SciencesSeoul National University College of Natural SciencesSeoulSouth Korea
| | - Ji Won Han
- Department of NeuropsychiatrySeoul National University Bundang HospitalSeongnamSouth Korea
- Department of PsychiatrySeoul National University College of MedicineSeoulSouth Korea
| | - Jun Sung Kim
- Department of NeuropsychiatrySeoul National University Bundang HospitalSeongnamSouth Korea
| | - Tze Pin Ng
- Department of Psychological MedicineKhoo Teck Puat HospitalYishunSingapore
- Geriatric Education and Research InstituteMinistry of HealthSingaporeSingapore
| | - Roger Ho
- Institute for Health Innovation and Technology (iHealthtech)National University of SingaporeSingaporeSingapore
| | - Denise Qian Ling Chua
- Department of Psychological MedicineNational University of SingaporeSingaporeSingapore
| | - Kaarin J. Anstey
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
- Department of NeurodegenerationNeuroscience Research AustraliaSydneyNew South WalesAustralia
- Ageing Futures InstituteUniversity of New South WalesSydneyNew South WalesAustralia
| | - Nicolas Cherbuin
- National Centre for Epidemiology and Population HealthCollege of Health and MedicineAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
| | - Moyra E. Mortby
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
- Department of NeurodegenerationNeuroscience Research AustraliaSydneyNew South WalesAustralia
- Ageing Futures InstituteUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henry Brodaty
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Nicole Kochan
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Perminder S. Sachdev
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Neuropsychiatric InstituteThe Prince of Wales HospitalSydneyNew South WalesAustralia
| | - Jiyang Jiang
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
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Babiloni C, Del Percio C, Piervincenzi C, Carducci F, Ferri R, Onorati P, Toma G, Ferracuti S, Roma P, Correr V, Di Campli F, Aceti A, Salvatore M, Soricelli A, Teti E, Pennica A, Sarmati L, Vullo V, D'Ettorre G, Mastroianni C, Petsas N, Pantano P, Floris R, Stocchi F, Andreoni M, Di Perri G, Calcagno A, Noce G. Parietal resting-state EEG alpha source connectivity is associated with subcortical white matter lesions in HIV-positive people. Clin Neurophysiol 2023; 156:19-27. [PMID: 37844524 DOI: 10.1016/j.clinph.2023.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 08/07/2023] [Accepted: 09/21/2023] [Indexed: 10/18/2023]
Abstract
OBJECTIVE Parietal resting-state electroencephalographic (rsEEG) alpha (8-10 Hz) source connectivity is abnormal in HIV-positive persons. Here we tested whether this abnormality may be associated with subcortical white matter vascular lesions in the cerebral hemispheres. METHODS Clinical, rsEEG, and magnetic resonance imaging (MRI) datasets in 38 HIV-positive persons and clinical and rsEEG datasets in 13 healthy controls were analyzed. Radiologists visually evaluated the subcortical white matter hyperintensities from T2-weighted FLAIR MRIs (i.e., Fazekas scale). In parallel, neurophysiologists estimated the eLORETA rsEEG source lagged linear connectivity from parietal cortical regions of interest. RESULTS Compared to the HIV participants with no/negligible subcortical white matter hyperintensities, the HIV participants with mild/moderate subcortical white matter hyperintensities showed lower parietal interhemispheric rsEEG alpha lagged linear connectivity. This effect was also observed in HIV-positive persons with unimpaired cognition. This rsEEG marker allowed good discrimination (area under the receiver operating characteristic curve > 0.80) between the HIV-positive individuals with different amounts of subcortical white matter hyperintensities. CONCLUSIONS The parietal rsEEG alpha source connectivity is associated with subcortical white matter vascular lesions in HIV-positive persons, even without neurocognitive disorders. SIGNIFICANCE Those MRI-rsEEG markers may be used to screen HIV-positive persons at risk of neurocognitive disorders.
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Affiliation(s)
- Claudio Babiloni
- Department of Physiology and Pharmacology "Erspamer", Sapienza University of Rome, Rome, Italy; Hospital San Raffaele Cassino, Cassino, (FR), Italy.
| | - Claudio Del Percio
- Department of Physiology and Pharmacology "Erspamer", Sapienza University of Rome, Rome, Italy
| | | | - Filippo Carducci
- Department of Physiology and Pharmacology "Erspamer", Sapienza University of Rome, Rome, Italy
| | | | - Paolo Onorati
- Department of Physiology and Pharmacology "Erspamer", Sapienza University of Rome, Rome, Italy
| | - Ginevra Toma
- Department of Physiology and Pharmacology "Erspamer", Sapienza University of Rome, Rome, Italy
| | - Stefano Ferracuti
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Paolo Roma
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Valentina Correr
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Francesco Di Campli
- Infectious Diseases, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Antonio Aceti
- Infectious Diseases, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | | | - Andrea Soricelli
- IRCCS Synlab SDN, Naples, Italy; Department of Motor Sciences and Healthiness, University of Naples Parthenope, Naples, Italy
| | - Elisabetta Teti
- Clinical Infectious Diseases, University of Rome "Tor Vergata", Rome, Italy
| | - Alfredo Pennica
- Infectious Diseases, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Loredana Sarmati
- Clinical Infectious Diseases, University of Rome "Tor Vergata", Rome, Italy
| | - Vincenzo Vullo
- Department of Public Health and Infectious Diseases, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | - Gabriella D'Ettorre
- Department of Public Health and Infectious Diseases, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | - Claudio Mastroianni
- Department of Public Health and Infectious Diseases, Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | | | - Patrizia Pantano
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy; IRCCS NEUROMED, Pozzilli, IS, Italy
| | - Roberto Floris
- Diagnostic and Interventional Radiology, University of Rome "Tor Vergata", Rome, Italy
| | - Fabrizio Stocchi
- IRCCS San Raffaele, Rome, Italy; Telematic University San Raffaele, Rome, Italy
| | - Massimo Andreoni
- Clinical Infectious Diseases, University of Rome "Tor Vergata", Rome, Italy
| | - Giovanni Di Perri
- Unit of Infectious Diseases, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Andrea Calcagno
- Unit of Infectious Diseases, Department of Medical Sciences, University of Turin, Turin, Italy
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Lin K, Wen W, Lipnicki DM, Mewton L, Chen R, Du J, Wang D, Skoog I, Sterner TR, Najar J, Kim KW, Han JW, Kim JS, Ng TP, Ho R, Chua DQL, Anstey KJ, Cherbuin N, Mortby ME, Brodaty H, Kochan N, Sachdev PS, Jiang J. Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: the COSMIC consortium. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.30.23294876. [PMID: 37693599 PMCID: PMC10491386 DOI: 10.1101/2023.08.30.23294876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
INTRODUCTION White matter hyperintensities (WMH) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well-documented in populations of different ethnicities and/or from different geographical regions. METHOD Magnetic resonance imaging data of five population-based cohorts of non-demented older individuals from Australia, Singapore, South Korea, and Sweden (N = 1,946) were examined for WMH and their associations with vascular risk factors and cognition. RESULT Factors associated with larger whole brain WMH volumes included diabetes, hypertension, stroke, current smoking, body mass index, higher alcohol intake and insufficient physical activity. Participants with moderate or higher physical activity had less WMH than those who never exercised, but the former two groups did not differ. Hypertension and stroke had stronger associations with WMH volumes in the White, compared to Asian subsample. DISCUSSION The current study highlighted the ethnic differences in the contributions of vascular risk factors to WMH.
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Affiliation(s)
- Keshuo Lin
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Darren M. Lipnicki
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Louise Mewton
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Rory Chen
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Jing Du
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Dadong Wang
- CSIRO Informatics and Statistics, Locked Bag 17, North Ryde, NSW 1670, Australia
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Box 100, 405 30, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Box 100, Goeteborg, Vaestra Goetaland 405 30, Sweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Box 100, 405 30, Sweden
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Nobels väg 6, 171 77 Stockholm, Sweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Box 100, 405 30, Sweden
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics, Amsterdam Universitair Medische Centra, PO Box 7057, 1007 MB, Amsterdam, the Netherlands
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Korea
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul 03080, Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Jun Sung Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea
| | - Tze Pin Ng
- Khoo Teck Puat Hospital, 768828, Singapore
- Geriatric Education and Research Institute, Ministry of Health, 768024, Singapore
| | - Roger Ho
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, 119077, Singapore
| | - Denise Qian Ling Chua
- Department of Psychological Medicine, National University of Singapore, 119077, Singapore
| | - Kaarin J. Anstey
- School of Psychology, University of New South Wales, NSW 2052,Australia
- Neuroscience Research Australia, NSW 2031, Australia
- Ageing Futures Institute, University of New South Wales, NSW 2052,Australia
| | - Nicolas Cherbuin
- National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, ACT 2600, Canberra, Australia
| | - Moyra E. Mortby
- School of Psychology, University of New South Wales, NSW 2052,Australia
- Neuroscience Research Australia, NSW 2031, Australia
- Ageing Futures Institute, University of New South Wales, NSW 2052,Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
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Wenger KJ, Koldijk CE, Hattingen E, Porto L, Kurre W. Characterization of MRI White Matter Signal Abnormalities in the Pediatric Population. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10020206. [PMID: 36832335 PMCID: PMC9955075 DOI: 10.3390/children10020206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/16/2023] [Accepted: 01/19/2023] [Indexed: 01/26/2023]
Abstract
(1) Background and Purpose: The aim of this study was to retrospectively characterize WMSAs in an unselected patient cohort at a large pediatric neuroimaging facility, in order to learn more about the spectrum of the underlying disorders encountered in everyday clinical practice. (2) Materials and Methods: Radiology reports of 5166 consecutive patients with standard brain MRI (2006-2018) were searched for predefined keywords describing WMSAs. A neuroradiology specialist enrolled patients with WMSAs following a structured approach. Imaging characteristics, etiology (autoimmune disorders, non-genetic hypoxic and ischemic insults, traumatic white matter injuries, no final diagnosis due to insufficient clinical information, "non-specific" WMSAs, infectious white matter damage, leukodystrophies, toxic white matter injuries, inborn errors of metabolism, and white matter damage caused by tumor infiltration/cancer-like disease), and age/gender distribution were evaluated. (3) Results: Overall, WMSAs were found in 3.4% of pediatric patients scanned at our and referring hospitals within the ten-year study period. The majority were found in the supratentorial region only (87%) and were non-enhancing (78% of CE-MRI). WMSAs caused by autoimmune disorders formed the largest group (23%), followed by "non-specific" WMSAs (18%), as well as non-genetic hypoxic and ischemic insults (17%). The majority were therefore acquired as opposed to inherited. Etiology-based classification of WMSAs was affected by age but not by gender. In 17% of the study population, a definite diagnosis could not be established due to insufficient clinical information (mostly external radiology consults). (4) Conclusions: An "integrated diagnosis" that combines baseline demographics, including patient age as an important factor, clinical characteristics, and additional diagnostic workup with imaging patterns can be made in the majority of cases.
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Affiliation(s)
- Katharina J. Wenger
- Institute of Neuroradiology, University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany
- Correspondence: ; Tel.: +49-69-6301-5462
| | | | - Elke Hattingen
- Institute of Neuroradiology, University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany
| | - Luciana Porto
- Institute of Neuroradiology, University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany
| | - Wiebke Kurre
- Institute of Diagnostic and Interventional Radiology/Neuroradiology, Municipal Hospital Passau, 94032 Passau, Germany
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Cao C, Hu H, Zheng X, Zhang X, Wang Y, He Y. Association between central obesity and incident diabetes mellitus among Japanese: a retrospective cohort study using propensity score matching. Sci Rep 2022; 12:13445. [PMID: 35927472 PMCID: PMC9352654 DOI: 10.1038/s41598-022-17837-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/01/2022] [Indexed: 11/23/2022] Open
Abstract
Previous evidence revealed that central obesity played a vital role in the development of diabetes mellitus (DM). However, because of imbalanced confounding variables, some studies have not wholly established the association between central obesity and diabetes. Propensity score matching (PSM) analysis can minimize the impact of potential confounding variables. Therefore, the aim of the present study was to explore the relationship between central obesity and diabetes in the Japanese population by using PSM analysis. This retrospective cohort study included 15,453 Japanese adults who were free of diabetes at baseline between 2004 and 2015, which provided all medical records for individuals participating in the physical exam. Central obesity at baseline was an independent variable, and incident diabetes during follow-up was an outcome variable. Using a 1:1 PSM analysis, the present retrospective cohort study included 1639 adults with and without central obesity. Additionally, we employed a doubly robust estimation method to identify the association between central obesity and diabetes. Subjects with central obesity were 92% more likely to develop DM (HR = 1.65, 95%CI 1.12, 2.41). After adjusting for covariates, subjects with central obesity had a 72% increased risk of developing DM compared with subjects with non-central obesity in the PSM cohort (HR = 1.72, 95% CI 1.16, 2.56). Central obesity individuals had a 91% higher risk of DM than non-central obesity individuals, after adjustment for propensity score (HR = 1.91, 95% CI 1.29, 2.81). In sensitivity analysis, the central obesity group had a 44% (HR = 1.44, 95% CI 1.09, 1.90) and 59% (HR = 1.59, 95% CI1.35, 1.88) higher risk of DM than the non-central obesity group in the original and weighted cohorts after adjusting for confounding variables, respectively. Central obesity was independently associated with an increased risk of developing diabetes. After adjustment for confounding covariates, central obesity participants had a 72% higher risk of development of diabetes than non-central obesity individuals in the PSM cohort.
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Affiliation(s)
- Changchun Cao
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong, China
| | - Haofei Hu
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, China
| | - Xiaodan Zheng
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, 518000, Guangdong, China
| | - Xiaohua Zhang
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong, China
| | - Yulong Wang
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6, Renmin Road, Dapeng New District, Shenzhen, 518000, Guangdong, China.
| | - Yongcheng He
- Department of Nephrology, Shenzhen Hengsheng Hospital, No. 20 Yintian Road, Xixiang Street, Baoan District, Shenzhen, 518000, Guangdong, China. .,Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Road, Nanchong, 637000, Sichuan, China.
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9
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Del Brutto OH, Mera RM, Recalde BY, Rumbea DA, Del Brutto VJ. High Social Risk Influence Progression of White Matter Hyperintensities of Presumed Vascular Origin: A Prospective Study in Community-Dwelling Older Adults. Stroke 2022; 53:2577-2584. [PMID: 35506386 DOI: 10.1161/strokeaha.122.038561] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Information on cerebrovascular consequences of high social risk, as determined by the social determinants of health, is limited. We sought to evaluate the impact of high social risk on the progression of white matter hyperintensities (WMHs) of presumed vascular origin. METHODS Following a longitudinal prospective study design, participants of the Atahualpa Project Cohort received baseline social risk determinations by means of social determinants of health components included in the Gijon's Social-Familial Evaluation Scale together with clinical interviews and brain magnetic resonance imagings. Those who also received follow-up brain magnetic resonance imaging at the end of the study were included. We used Poisson regression models adjusted for demographics, education levels and traditional cardiovascular risk factors to assess the incidence rate ratio of WMH progression according to the Gijon's Social-Familial Evaluation Scale score. RESULTS The study included 263 individuals aged ≥60 years (mean age, 65.7±6.2 years; 57% women). The Gijon's Social-Familial Evaluation Scale mean score was 8.9±2.2 points. Follow-up magnetic resonance imagings revealed WMH progression in 103 (39%) individuals after a mean follow-up of 6.5 years (SD±1.4 years). Poisson regression models showed increased WMH progression rate among individuals in the third tertile of the Gijon's Social-Familial Evaluation Scale score compared with those in the first tertile (incidence rate ratio, 1.65 [95% CI, 1.05-2.61]; P=0.032). Separate Poisson regression models using individual social determinants of health components showed that poor social relationships (incidence rate ratio, 1.39 [95% CI, 1.10-1.77]; P=0.006) and deficient support networks (incidence rate ratio, 1.79 [95% CI, 1.19-2.69]; P=0.005) were independently associated with WMH progression, whereas family situation, economic status, and housing did not. CONCLUSIONS Poor social relationships and deficient support networks were significantly associated with WMH progression in community-dwelling older adults living in a rural setting. Our findings may help planning cost-effective preventive policies to reduce progression of cerebral small vessel disease among vulnerable populations.
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Affiliation(s)
- Oscar H Del Brutto
- School of Medicine and Research Center, Universidad Espíritu Santo - Ecuador, Samborondón (O.H.D.B., B.Y.R., D.A.R.)
| | - Robertino M Mera
- Department of Biostatistics/Epidemiology, Freenome, Inc, South San Francisco, CA (R.M.M.)
| | - Bettsy Y Recalde
- School of Medicine and Research Center, Universidad Espíritu Santo - Ecuador, Samborondón (O.H.D.B., B.Y.R., D.A.R.)
| | - Denisse A Rumbea
- School of Medicine and Research Center, Universidad Espíritu Santo - Ecuador, Samborondón (O.H.D.B., B.Y.R., D.A.R.)
| | - Victor J Del Brutto
- Department of Neurology, University of Miami, Miller School of Medicine, FL (V.J.D.B.), USA
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Decreased nighttime heart rate variability and progression of white matter hyperintensities of presumed vascular origin. A prospective study in community-dwelling older adults. J Stroke Cerebrovasc Dis 2022; 31:106479. [PMID: 35417847 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 03/25/2022] [Accepted: 03/27/2022] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES Evidence on the role of autonomic dysfunction on white matter hyperintensities (WMH) progression is limited. This study aims to assess the impact of a low nighttime heart rate variability (HRV) on WMH progression in community-dwelling older adults. MATERIALS AND METHODS Following a prospective longitudinal study design, all individuals aged ≥60 years enrolled in the Atahualpa Project Cohort from 2012 to 2019 were invited to receive baseline HRV determinations through 24-h Holter monitoring, together with clinical interviews and brain MRIs. These individuals were periodically followed by means of annual door-to-door surveys, and those who also received brain MRIs at the end of the study (May 2021) were included in the analysis. Poisson regression models, adjusted for relevant confounders, were fitted to assess the incidence rate ratio (IRR) of WMH progression according to nighttime standard deviation of normal-to-normal R-R intervals (SDNN). RESULTS This study included 254 individuals aged ≥60 years (mean age: 65.4 ± 5.9 years; 55% women). The mean nighttime SDNN was 116.8 ± 36.3 ms. Follow-up MRIs showed WMH progression in 103 (41%) individuals after a median follow-up of 6.5 years. In unadjusted analyses, nighttime SDNN was lower among participants who developed WMH progression than in those who did not (p < 0.001). A Poisson regression model, adjusted for relevant covariates, disclosed a significantly inverse association between nighttime SDNN and WMH progression (IRR: 0.99; 95% C.I.: 0.98-0.99; p = 0.014). CONCLUSIONS Study results show an inverse association between decreased nighttime SDNN and WMH progression, and provide support for the role of sympathetic overactivity in this relationship.
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11
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Celle S, Boutet C, Annweiler C, Ceresetti R, Pichot V, Barthélémy JC, Roche F. Leukoaraiosis and Gray Matter Volume Alteration in Older Adults: The PROOF Study. Front Neurosci 2022; 15:747569. [PMID: 35095388 PMCID: PMC8793339 DOI: 10.3389/fnins.2021.747569] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 11/22/2021] [Indexed: 11/23/2022] Open
Abstract
Background and Purpose: Leukoaraiosis, also called white matter hyperintensities (WMH), is frequently encountered in the brain of older adults. During aging, gray matter structure is also highly affected. WMH or gray matter defects are commonly associated with a higher prevalence of mild cognitive impairment. However, little is known about the relationship between WMH and gray matter. Our aim was thus to explore the relationship between leukoaraiosis severity and gray matter volume in a cohort of healthy older adults. Methods: Leukoaraiosis was rated in participants from the PROOF cohort using the Fazekas scale. Voxel-based morphometry was performed on brain scans to examine the potential link between WMH and changes of local brain volume. A neuropsychological evaluation including attentional, executive, and memory tests was also performed to explore cognition. Results: Out of 315 75-year-old subjects, 228 had punctuate foci of leukoaraiosis and 62 had begun the confluence of foci. Leukoaraiosis was associated with a decrease of gray matter in the middle temporal gyrus, in the right medial frontal gyrus, and in the left parahippocampal gyrus. It was also associated with decreased performances in memory recall, executive functioning, and depression. Conclusion: In a population of healthy older adults, leukoaraiosis was associated with gray matter defects and reduced cognitive performance. Controlling vascular risk factors and detecting early cerebrovascular disease may prevent, at least in part, dementia onset and progression.
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Affiliation(s)
- Sébastien Celle
- Clinical Physiology, Visas Center, University Hospital, Saint-Etienne, France
- INSERM, U1059, SAINBIOSE, DVH, Saint-Étienne, France
- *Correspondence: Sébastien Celle,
| | - Claire Boutet
- Department of Radiology, University Hospital, Saint Etienne, France
- EA7423 TAPE, UJM, Saint-Étienne, France
| | - Cédric Annweiler
- Department of Geriatric Medicine and Memory Clinic, Research Center on Autonomy and Longevity, University Hospital, Angers, France
- UPRES EA4638, University of Angers, Angers, France
| | - Romain Ceresetti
- Clinical Physiology, Visas Center, University Hospital, Saint-Etienne, France
- INSERM, U1059, SAINBIOSE, DVH, Saint-Étienne, France
| | - Vincent Pichot
- Clinical Physiology, Visas Center, University Hospital, Saint-Etienne, France
- INSERM, U1059, SAINBIOSE, DVH, Saint-Étienne, France
| | - Jean-Claude Barthélémy
- Clinical Physiology, Visas Center, University Hospital, Saint-Etienne, France
- INSERM, U1059, SAINBIOSE, DVH, Saint-Étienne, France
| | - Frédéric Roche
- Clinical Physiology, Visas Center, University Hospital, Saint-Etienne, France
- INSERM, U1059, SAINBIOSE, DVH, Saint-Étienne, France
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12
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Miller ML, Ghisletta P, Jacobs BS, Dahle CL, Raz N. Changes in cerebral arterial pulsatility and hippocampal volume: a transcranial doppler ultrasonography study. Neurobiol Aging 2021; 108:110-121. [PMID: 34555677 DOI: 10.1016/j.neurobiolaging.2021.08.014] [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: 04/21/2021] [Revised: 08/06/2021] [Accepted: 08/19/2021] [Indexed: 11/16/2022]
Abstract
The physiological mechanisms of age-related cognitive decline remain unclear, in no small part due to the lack of longitudinal studies. Extant longitudinal studies focused on gross neuroanatomy and diffusion properties of the brain. We present herein a longitudinal analysis of changes in arterial pulsatility - a proxy for arterial stiffness - in two major cerebral arteries, middle cerebral and vertebral. We found that pulsatility increased in some participants over a relatively short period and these increases were associated with hippocampal shrinkage. Higher baseline pulsatility was associated with lower scores on a test of fluid intelligence at follow-up. This is the first longitudinal evidence of an association between increase in cerebral arterial stiffness over time and regional shrinkage.
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Affiliation(s)
| | - Paolo Ghisletta
- Université de Genève, FPSE, Genève GE, Switzerland; UniMail, Swiss National Centre of Competence in Research LIVES, Genève GE, Switzerland; UniDistance Suisse, Brig VS, Switzerland
| | - Bradley S Jacobs
- Wright State University, Department of Internal Medicine and Neurology, Dayton, Ohio
| | - Cheryl L Dahle
- Wayne State University, Institute of Gerontology, Detroit, Michigan
| | - Naftali Raz
- Wayne State University, Institute of Gerontology, Detroit, Michigan; Wayne State University, Department of Psychology, Detroit, Michigan; Max Planck Institute for Human Development, Berlin-Dahlem, Germany
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Jacków-Nowicka J, Podgórski P, Bladowska J, Szcześniak D, Rymaszewska J, Zatońska K, Połtyn-Zaradna K, Szuba A, Sa Siadek M, Zimny A. The Impact of Common Epidemiological Factors on Gray and White Matter Volumes in Magnetic Resonance Imaging-Is Prevention of Brain Degeneration Possible? Front Neurol 2021; 12:633619. [PMID: 34326804 PMCID: PMC8315783 DOI: 10.3389/fneur.2021.633619] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 06/07/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: The aim of the study was to evaluate the impact of multiple risk factors (age, diabetes, hypertension, hyperlipidemia, BMI, smoking, alcohol) on the gray and white matter volumes as well as on the burden of white matter hyperintensities (WMH). Material and Methods: The study group consisted of 554 subjects (age range: 50–69 yrs, F/M: 367/187) recruited from the larger cohort of the Polish fraction of the Prospective Urban Rural Epidemiological (PURE) study. The participants answered questionnaires about their lifestyle, underwent physical and psychological examination (MoCA test), laboratory blood tests followed by brain MRI. Volumetric measurements of the total gray matter (GMvol), total white matter (WMvol) and WHM (WMHvol) normalized to the total intracranial volume were performed using the Computational Anatomy Toolbox 12 (CAT12) and Statistical Parametric Maps 12 (SPM12) based on 3D T1-weighted sequence. The influence of risk factors was assessed using multiple regression analysis before and after correction for multiple comparisons. Results: Older age was associated with lower GMvol and WMvol, and higher WMHvol (p < 0.001). Smaller GMvol volume was associated with higher WMHvol (p < 0.001). Higher WMHvol was associated with hypertension (p = 0.01) and less significantly with hyperlipidemia (only before correction p = 0.03). Diabetes, abnormal BMI, smoking and alcohol intake did not have any significant impact on GMvol, WMvol or WMHvol (p > 0.05). MoCA score was not influenced by any of the factors. Conclusions: Gray matter loss is strongly associated with the accumulation of WMH which seems to be potentially preventable by maintaining normal blood pressure and cholesterol levels.
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Affiliation(s)
- Jagoda Jacków-Nowicka
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Przemysław Podgórski
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Joanna Bladowska
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Dorota Szcześniak
- Department of Psychiatry, Wroclaw Medical University, Wrocław, Poland
| | | | - Katarzyna Zatońska
- Department of Social Medicine, Wroclaw Medical University, Wrocław, Poland
| | | | - Andrzej Szuba
- Department of Angiology, Hypertension and Diabetology, Wroclaw Medical University, Wrocław, Poland
| | - Marek Sa Siadek
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Anna Zimny
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
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Grosu S, Lorbeer R, Hartmann F, Rospleszcz S, Bamberg F, Schlett CL, Galie F, Selder S, Auweter S, Heier M, Rathmann W, Mueller-Peltzer K, Ladwig KH, Peters A, Ertl-Wagner BB, Stoecklein S. White matter hyperintensity volume in pre-diabetes, diabetes and normoglycemia. BMJ Open Diabetes Res Care 2021; 9:9/1/e002050. [PMID: 34183320 PMCID: PMC8240582 DOI: 10.1136/bmjdrc-2020-002050] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 06/01/2021] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION As white matter hyperintensities (WMHs) of the brain are associated with an increased risk of stroke, cognitive decline, and depression, elucidating the associated risk factors is important. In addition to age and hypertension, pre-diabetes and diabetes may play important roles in the development of WMHs. Previous studies have, however, shown conflicting results. We aimed to investigate the effect of diabetes status and quantitative markers of glucose metabolism on WMH volume in a population-based cohort without prior cardiovascular disease. RESEARCH DESIGN AND METHODS 400 participants underwent 3 T MRI. WMHs were manually segmented on 3D fluid-attenuated inversion recovery images. An oral glucose tolerance test (OGTT) was administered to all participants not previously diagnosed with diabetes to assess 2-hour serum glucose concentrations. Fasting glucose concentrations and glycated hemoglobin (HbA1c) levels were measured. Zero-inflated negative binomial regression analyses of WMH volume and measures of glycemic status were performed while controlling for cardiovascular risk factors and multiple testing. RESULTS The final study population comprised 388 participants (57% male; age 56.3±9.2 years; n=98 with pre-diabetes, n=51 with diabetes). Higher WMH volume was associated with pre-diabetes (p=0.001) and diabetes (p=0.026) compared with normoglycemic control participants after adjustment for cardiovascular risk factors. 2-hour serum glucose (p<0.001), but not fasting glucose (p=0.389) or HbA1c (p=0.050), showed a significant positive association with WMH volume after adjustment for cardiovascular risk factors. CONCLUSION Our results indicate that high 2-hour serum glucose concentration in OGTT, but not fasting glucose levels, may be an independent risk factor for the development of WMHs, with the potential to inform intensified prevention strategies in individuals at risk of WMH-associated morbidity.
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Affiliation(s)
- Sergio Grosu
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Roberto Lorbeer
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Felix Hartmann
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Franziska Galie
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Sonja Selder
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Sigrid Auweter
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Katharina Mueller-Peltzer
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Karl-Heinz Ladwig
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Department of Psychosomatic Medicine and Psychotherapy, Hospital Rechts der Isar, Technical University Munich, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Birgit B Ertl-Wagner
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Sophia Stoecklein
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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