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Fatih N, Hughes A, Sudre CH, Chaturvedi N, Garfield V, Silverwood RJ, Ploubidis G, Parker TD, Lu K, Cash DM, Malone IB, Wong A, Barnes J, Richards M, Fox NC, Schott JM, James SN. Sex differences between mid-life glycaemic traits and brain volume at age 70: a population-based study. Eur J Endocrinol 2025; 192:K44-K49. [PMID: 40300998 PMCID: PMC12084807 DOI: 10.1093/ejendo/lvaf090] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 10/17/2024] [Revised: 03/31/2025] [Accepted: 04/28/2025] [Indexed: 05/01/2025]
Abstract
Higher HbA1c in mid-to-later life has been associated with smaller whole brain volume (WBV) in older women but not men. We explored whether this association was replicated using different markers of (i) glycaemic health [fasting glucose, insulin resistance (HOMA2-IR), and β-cell function (HOMA-%B)] and (ii) brain structure (white or grey matter volume). 453 participants (51% men) from the 1946 British Birth Cohort had glycaemic measures (at age 60-64) and MRI measures (at age ∼70). In women, higher fasting glucose and insulin resistance at age ∼60 were weakly associated with lower WBV at age ∼70 [eg, fasting glucose: β* = -0.07 (95% CI: -0.13, -0.01), P = .02]. No associations emerged for men for any glycaemic marker. HOMA-%B was not associated with brain outcomes in either sex. Women's later-life brain health may be more vulnerable to midlife hyperglycaemia.
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Affiliation(s)
- Nasri Fatih
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom
| | - Alun Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom
| | - Victoria Garfield
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom
- Department of Pharmacology & Therapeutics, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Liverpool L69 7BE, United Kingdom
| | - Richard J Silverwood
- Centre for Longitudinal Studies, UCL Social Research Institute, University College London, London WC1H 0AL, United Kingdom
| | - George Ploubidis
- Centre for Longitudinal Studies, UCL Social Research Institute, University College London, London WC1H 0AL, United Kingdom
| | - Thomas D Parker
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom
| | - Kirsty Lu
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom
| | - David M Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom
| | - Ian B Malone
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom
| | - Josephine Barnes
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom
- UK Dementia Research Institute at UCL, University College London, London NW1 3BT, United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom
| | - Sarah-Naomi James
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom
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2
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Yatagan Sevim G, Alkan E, Taporoski TP, Krieger JE, Pereira AC, Evans SL. Effects of glycaemic control on memory performance, hippocampal volumes and depressive symptomology. Diabetol Metab Syndr 2024; 16:219. [PMID: 39261923 PMCID: PMC11389280 DOI: 10.1186/s13098-024-01429-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 07/24/2024] [Indexed: 09/13/2024] Open
Abstract
BACKGROUND Diabetes and poor glycaemic control have been shown to negatively impact cognitive abilities, while also raising risk of both mood disorders and brain structural atrophy. Sites of atrophy include the hippocampus, which has been implicated in both memory performance and depression. The current study set out to better characterise the associations between poor glycaemic control, memory performance, and depression symptoms, and investigate whether loss of hippocampal volume could represent a neuropathological mechanism underlying these. METHODS 1331 participants (60.9% female, age range 18-88 (Mean = 44.02), 6.5% with likely diabetes) provided HbA1c data (as an index of glycaemic control), completed a word list learning task, and a validated depression scale. A subsample of 392 participants underwent structural MRI; hippocampal volumes were extracted using FreeSurfer. RESULTS Partial correlation analyses (controlling for age, gender, and education) showed that, in the full sample, poorer glycaemic control was related to lower word list memory performance. In the MRI sub-sample, poorer glycaemic control was related to higher depressive symptoms, and lower hippocampal volumes. Total hippocampus volume partially mediated the association between HbA1c levels and depressive symptoms. CONCLUSIONS Results emphasise the impact of glycaemic control on memory, depression and hippocampal volume and suggest hippocampal volume loss could be a pathophysiological mechanism underlying the link between HbA1c and depression risk; inflammatory and stress-hormone related processes might have a role in this.
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Affiliation(s)
- Gulin Yatagan Sevim
- Faculty of Health and Medical Sciences, School of Psychology, University of Surrey, Guildford, Surrey, GU2 7XH, UK
| | - Erkan Alkan
- Faculty of Health, Science, Social Care and Education, Kingston University, London, UK
| | - Tamara P Taporoski
- Harvard Center for Population and Development Studies, Harvard University, Cambridge, Massachusetts, USA
| | - Jose E Krieger
- University of São Paulo School of Medicine, São Paulo, Brazil
| | - Alex C Pereira
- University of São Paulo School of Medicine, São Paulo, Brazil
| | - Simon L Evans
- Faculty of Health and Medical Sciences, School of Psychology, University of Surrey, Guildford, Surrey, GU2 7XH, UK.
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Kang GA, Yoon JY. Is the change in longitudinal cognitive function in older adults with diabetes affected by trajectory classes of depressive symptoms? Public Health Nurs 2024; 41:1006-1015. [PMID: 39054273 DOI: 10.1111/phn.13372] [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: 01/01/2024] [Revised: 06/02/2024] [Accepted: 07/10/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVE This study aims to identify classes based on the trajectory of depressive symptoms and to examine the impact of trajectory classes of depressive symptoms on longitudinal changes in cognitive function in older adults with diabetes. METHODS This is a secondary data analysis of 572 older adults with diabetes using data from the 5th (2014) to 8th (2020) wave of the Korean longitudinal study of aging. Analysis of latent class growth and the effect of trajectories of depressive symptoms on cognitive function was examined using a latent growth curve model. This analysis has been found to be functional in change trajectories and in describing the direction of the trajectory. RESULTS The trajectory of depressive symptoms was classified into four classes: low-stable (36.89%), high-decreasing (20.28%), low-increasing (18.71%), and high-persistent (24.13%). Compared with the high-persistent class, higher initial levels of cognitive function were observed in the high-decreasing and low-stable classes. Compared with the high-persistent class, a slower rate of cognitive decline was observed in the low-stable class (B = 0.410, p = .021). CONCLUSIONS Continuous monitoring of depressive symptoms and early management of depressive symptoms for community-dwelling older adults with diabetes can help prevent the cognitive decline and delay the deterioration of cognitive function.
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Affiliation(s)
- Gyeong A Kang
- College of Nursing, Seoul National University, Seoul, South Korea
- Center for Human-Caring Nurse Leaders for the Future by Brain Korea 21 (BK 21) four project, College of Nursing, Seoul National University, Seoul, South Korea
| | - Ju Young Yoon
- College of Nursing, Seoul National University, Seoul, South Korea
- Center for Human-Caring Nurse Leaders for the Future by Brain Korea 21 (BK 21) four project, College of Nursing, Seoul National University, Seoul, South Korea
- Research Institute of Nursing Science, Seoul National University, Seoul, South Korea
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Arenaza‐Urquijo EM, Boyle R, Casaletto K, Anstey KJ, Vila‐Castelar C, Colverson A, Palpatzis E, Eissman JM, Kheng Siang Ng T, Raghavan S, Akinci M, Vonk JMJ, Machado LS, Zanwar PP, Shrestha HL, Wagner M, Tamburin S, Sohrabi HR, Loi S, Bartrés‐Faz D, Dubal DB, Vemuri P, Okonkwo O, Hohman TJ, Ewers M, Buckley RF, for the Reserve, Resilience and Protective Factors Professional Interest Area, Sex and Gender Professional Interest area and the ADDRESS! Special Interest Group. Sex and gender differences in cognitive resilience to aging and Alzheimer's disease. Alzheimers Dement 2024; 20:5695-5719. [PMID: 38967222 PMCID: PMC11350140 DOI: 10.1002/alz.13844] [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: 11/08/2023] [Revised: 03/08/2024] [Accepted: 03/21/2024] [Indexed: 07/06/2024]
Abstract
Sex and gender-biological and social constructs-significantly impact the prevalence of protective and risk factors, influencing the burden of Alzheimer's disease (AD; amyloid beta and tau) and other pathologies (e.g., cerebrovascular disease) which ultimately shape cognitive trajectories. Understanding the interplay of these factors is central to understanding resilience and resistance mechanisms explaining maintained cognitive function and reduced pathology accumulation in aging and AD. In this narrative review, the ADDRESS! Special Interest Group (Alzheimer's Association) adopted a multidisciplinary approach to provide the foundations and recommendations for future research into sex- and gender-specific drivers of resilience, including a sex/gender-oriented review of risk factors, genetics, AD and non-AD pathologies, brain structure and function, and animal research. We urge the field to adopt a sex/gender-aware approach to resilience to advance our understanding of the intricate interplay of biological and social determinants and consider sex/gender-specific resilience throughout disease stages. HIGHLIGHTS: Sex differences in resilience to cognitive decline vary by age and cognitive status. Initial evidence supports sex-specific distinctions in brain pathology. Findings suggest sex differences in the impact of pathology on cognition. There is a sex-specific change in resilience in the transition to clinical stages. Gender and sex factors warrant study: modifiable, immune, inflammatory, and vascular.
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Affiliation(s)
- Eider M. Arenaza‐Urquijo
- Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health ProgrammeBarcelona Institute for Global Health (ISGlobal)BarcelonaSpain
- University of Pompeu FabraBarcelonaBarcelonaSpain
| | - Rory Boyle
- Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Kaitlin Casaletto
- Department of NeurologyMemory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Kaarin J. Anstey
- University of New South Wales Ageing Futures InstituteSydneyNew South WalesAustralia
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of Psychology, University of New South WalesSidneyNew South WalesAustralia
| | | | - Aaron Colverson
- University of Florida Center for Arts in Medicine Interdisciplinary Research LabUniversity of Florida, Center of Arts in MedicineGainesvilleFloridaUSA
| | - Eleni Palpatzis
- Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health ProgrammeBarcelona Institute for Global Health (ISGlobal)BarcelonaSpain
- University of Pompeu FabraBarcelonaBarcelonaSpain
| | - Jaclyn M. Eissman
- Vanderbilt Memory and Alzheimer's Center, Department of NeurologyVanderbilt University Medical CenterNashvilleTennesseeUSA
- Vanderbilt Genetics InstituteVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Ted Kheng Siang Ng
- Rush Institute for Healthy Aging and Department of Internal MedicineRush University Medical CenterChicagoIllinoisUSA
| | | | - Muge Akinci
- Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health ProgrammeBarcelona Institute for Global Health (ISGlobal)BarcelonaSpain
- University of Pompeu FabraBarcelonaBarcelonaSpain
| | - Jet M. J. Vonk
- Department of NeurologyMemory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Luiza S. Machado
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal Do Rio Grande Do Sul, FarroupilhaPorto AlegreBrazil
| | - Preeti P. Zanwar
- Jefferson College of Population Health, Thomas Jefferson UniversityPhiladelphiaPennsylvaniaUSA
- The Network on Life Course and Health Dynamics and Disparities, University of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Maude Wagner
- Rush Alzheimer's Disease Center, Rush University Medical CenterChicagoIllinoisUSA
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement SciencesUniversity of VeronaVeronaItaly
| | - Hamid R. Sohrabi
- Centre for Healthy AgeingHealth Future InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- School of Psychology, Murdoch UniversityMurdochWestern AustraliaAustralia
| | - Samantha Loi
- Neuropsychiatry Centre, Royal Melbourne HospitalParkvilleVictoriaAustralia
- Department of PsychiatryUniversity of MelbourneParkvilleVictoriaAustralia
| | - David Bartrés‐Faz
- Department of MedicineFaculty of Medicine and Health Sciences & Institut de NeurociènciesUniversity of BarcelonaBarcelonaBarcelonaSpain
- Institut d'Investigacions Biomèdiques (IDIBAPS)BarcelonaBarcelonaSpain
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autónoma de BarcelonaBadalonaBarcelonaSpain
| | - Dena B. Dubal
- Department of Neurology and Weill Institute of NeurosciencesUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Biomedical and Neurosciences Graduate ProgramsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | | | - Ozioma Okonkwo
- Alzheimer's Disease Research Center and Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer's Center, Department of NeurologyVanderbilt University Medical CenterNashvilleTennesseeUSA
- Vanderbilt Genetics InstituteVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Michael Ewers
- Institute for Stroke and Dementia ResearchKlinikum der Universität MünchenLudwig Maximilians Universität (LMU)MunichGermany
- German Center for Neurodegenerative Diseases (DZNE, Munich)MunichGermany
| | - Rachel F. Buckley
- Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
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Wu CY, Lin YH, Hsieh HH, Lin JJ, Peng SL. Sex Differences in the Effect of Diabetes on Cerebral Glucose Metabolism. Biomedicines 2021; 9:1661. [PMID: 34829890 PMCID: PMC8615590 DOI: 10.3390/biomedicines9111661] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/05/2021] [Accepted: 11/08/2021] [Indexed: 12/25/2022] Open
Abstract
The neuroimaging literature indicates that brain structure and function both deteriorate with diabetes, but information on sexual dimorphism in diabetes-related brain alterations is limited. This study aimed to ascertain whether brain metabolism is influenced by sex in an animal model of diabetes. Eleven rats (male, n = 5; female, n = 6) received a single intraperitoneal injection of 70 mg/kg streptozotocin (STZ) to develop diabetes. Another 11 rats (male, n = 5; female, n = 6) received the same amount of solvent through a single intraperitoneal injection. Longitudinal positron emission tomography scans were used to assess cerebral glucose metabolism before and 4 weeks after STZ or solvent administration. Before STZ or solvent injections, there was no evidence of sexual dimorphism in cerebral metabolism (p > 0.05). Compared with healthy control animals, rats with diabetes had significantly decreased brain metabolism in all brain regions (all p < 0.05). In addition, female diabetic rats exhibited further reduction in cerebral metabolism, relative to male diabetic rats (p < 0.05). The results of this study may provide some biological evidence, supporting the existence of a sexual dimorphism in diabetes-related complications.
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Affiliation(s)
- Chun-Yi Wu
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei Branch, Taipei 112304, Taiwan; (C.-Y.W.); (H.-H.H.)
| | - Yu-Hsin Lin
- Department of Pharmacy, National Yang Ming Chiao Tung University, Taipei Branch, Taipei 112304, Taiwan;
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404333, Taiwan
| | - Hsin-Hua Hsieh
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei Branch, Taipei 112304, Taiwan; (C.-Y.W.); (H.-H.H.)
| | - Jia-Jia Lin
- Center for Advanced Molecular Imaging and Translation, Chang Gung Memorial Hospital, Taoyuan 404333, Taiwan;
| | - Shin-Lei Peng
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung 404332, Taiwan
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