1
|
Karayiannis CC, Srikanth V, Beare R, Mehta H, Gillies M, Phan TG, Xu ZY, Chen C, Moran C. Type 2 Diabetes and Biomarkers of Brain Structure, Perfusion, Metabolism, and Function in Late Mid-Life: A Multimodal Discordant Twin Study. J Alzheimers Dis 2024; 97:1223-1233. [PMID: 38217597 DOI: 10.3233/jad-230640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2024]
Abstract
BACKGROUND Type 2 diabetes (T2D) is associated with an increased risk of dementia and early features may become evident even in mid-life. Characterizing these early features comprehensively requires multiple measurement modalities and careful selection of participants with and without T2D. OBJECTIVE We conducted a cross-sectional multimodal imaging study of T2D-discordant twins in late mid-life to provide insights into underlying mechanisms. METHODS Measurements included computerized cognitive battery, brain MRI (including arterial spin labelling, diffusion tensor, resting state functional), fluorodeoxyglucose (FDG)-PET, and retinal optical coherence tomography. RESULTS There were 23 pairs, mean age 63.7 (±6.1) years. In global analyses, T2D was associated with poorer attention (β= -0.45, p <0.001) and with reduced FDG uptake (β= -5.04, p = 0.02), but not with cortical thickness (p = 0.71), total brain volume (p = 0.51), fractional anisotropy (p = 0.15), mean diffusivity (p = 0.34), or resting state activity (p = 0.4). Higher FDG uptake was associated with better attention (β= 3.19, p = 0.01) but not with other cognitive domains. In regional analyses, T2D was associated with lower accumbens volume (β= -44, p = 0.0004) which was in turn associated with poorer attention. CONCLUSION T2D-related brain dysfunction in mid-life manifests as attentional loss accompanied by evidence of subtle neurodegeneration and global reduction in cerebral metabolism, in the absence of overt cerebrovascular disease.
Collapse
Affiliation(s)
- Christopher C Karayiannis
- Department of Medicine, Peninsula Health, Melbourne, Australia
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia
| | - Velandai Srikanth
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia
- National Centre for Healthy Ageing, Melbourne, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, Australia
| | - Richard Beare
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia
- National Centre for Healthy Ageing, Melbourne, Australia
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia
| | - Hemal Mehta
- Royal Free London NHS Foundation Trust, London, UK
- Macular Research Group, University of Sydney, Sydney, Australia
| | - Mark Gillies
- Macular Research Group, University of Sydney, Sydney, Australia
| | - Thanh G Phan
- Stroke and Ageing Research Centre, School of Clinical Sciences, Monash University, Melbourne, Australia
| | - Zheng Yang Xu
- Royal Free London NHS Foundation Trust, London, UK
- UCL Medical School, London, UK
| | - Christine Chen
- Ophthalmology Department, Monash Health, Melbourne, Australia
- Department of Surgery, School of Clinical Sciences, Monash University, Melbourne, Australia
| | - Chris Moran
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia
- National Centre for Healthy Ageing, Melbourne, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, Australia
- Department of Aged Care, Alfred Health, Melbourne, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| |
Collapse
|
2
|
Zhang H, Fareeduddin Mohammed Farooqui H, Zhu W, Niu T, Zhang Z, Zhang H. Impact of insulin resistance on mild cognitive impairment in type 2 diabetes mellitus patients with non-alcoholic fatty liver disease. Diabetol Metab Syndr 2023; 15:229. [PMID: 37950317 PMCID: PMC10636824 DOI: 10.1186/s13098-023-01211-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 11/03/2023] [Indexed: 11/12/2023] Open
Abstract
AIMS Insulin resistance (IR) is a pivotal factor in the pathogenesis of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD). Nevertheless, the impact of IR on cognitive dysfunction in T2DM patients with NAFLD remains inadequately understood. We aim to investigate the effect of IR on mild cognitive impairment (MCI) in T2DM individuals with NAFLD. MATERIALS AND METHODS 143 T2DM individuals were categorized into Non-MCI and MCI groups, as well as Non-NAFLD and NAFLD groups. Clinical parameters and cognitive preference test outcomes were compared. Correlation and regression analyses were executed to explore the interconnections between IR and cognitive details across all T2DM patients, as well as within the subgroup of individuals with NAFLD. RESULTS In comparison to the Non-MCI group, the MCI group displayed elevated HOMA-IR levels. Similarly, the NAFLD group exhibited higher HOMA-IR levels compared to the Non-NAFLD group. Additionally, a higher prevalence of MCI was observed in the NAFLD group as opposed to the Non-NAFLD group. Notably, HOMA-IR levels were correlated with Verbal Fluency Test (VFT) and Trail Making Test-B (TMTB) scores, both related to executive functions. Elevated HOMA-IR emerged as a risk factor for MCI in the all patients. Intriguingly, increased HOMA-IR not only correlated with TMTB scores but also demonstrated an influence on TMTA scores, reflecting information processing speed function in patients with NAFLD. CONCLUSION IR emerges as a contributory factor to cognitive dysfunction in T2DM patients. Furthermore, it appears to underlie impaired executive function and information processing speed function in T2DM individuals with NAFLD.
Collapse
Affiliation(s)
- Hui Zhang
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology,, Luoyang, China
| | | | - Wenwen Zhu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China
| | - Tong Niu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China
| | - Zhen Zhang
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Haoqiang Zhang
- Department of Endocrinology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
| |
Collapse
|
3
|
Charalambous C, Moon JC, Holly JMP, Chaturvedi N, Hughes AD, Captur G. Declining Levels and Bioavailability of IGF-I in Cardiovascular Aging Associate With QT Prolongation-Results From the 1946 British Birth Cohort. Front Cardiovasc Med 2022; 9:863988. [PMID: 35528832 PMCID: PMC9072634 DOI: 10.3389/fcvm.2022.863988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 03/21/2022] [Indexed: 11/30/2022] Open
Abstract
Background As people age, circulating levels of insulin-like growth factors (IGFs) and IGF binding protein 3 (IGFBP-3) decline. In rat cardiomyocytes, IGF-I has been shown to regulate sarcolemmal potassium channel activity and late sodium current thus impacting cardiac repolarization and the heart rate-corrected QT (QTc). However, the relationship between IGFs and IGFBP-3 with the QTc interval in humans, is unknown. Objectives To examine the association of IGFs and IGFBP-3 with QTc interval in an older age population-based cohort. Methods Participants were from the 1946 Medical Research Council (MRC) National Survey of Health and Development (NSHD) British birth cohort. Biomarkers from blood samples at age 53 and 60-64 years (y, exposures) included IGF-I/II, IGFBP-3, IGF-I/IGFBP-3 ratio and the change (Δ) in marker levels between the 60-64 and 53y sampled timepoints. QTc (outcome) was recorded from electrocardiograms at the 60-64y timepoint. Generalized linear multivariable models with adjustments for relevant demographic and clinical factors, were used for complete-cases and repeated after multiple imputation. Results One thousand four hundred forty-eight participants were included (48.3% men; QTc mean 414 ms interquartile range 26 ms). Univariate analysis revealed an association between low IGF-I and IGF-I/IGFBP-3 ratio at 60-64y with QTc prolongation [respectively: β -0.30 ms/nmol/L, (95% confidence intervals -0.44, -0.17), p < 0.001; β-28.9 ms/unit (-41.93, -15.50), p < 0.001], but not with IGF-II or IGFBP-3. No association with QTc was found for IGF biomarkers sampled at 53y, however both ΔIGF-I and ΔIGF-I/IGFBP-3 ratio were negatively associated with QTc [β -0.04 ms/nmol/L (-0.08, -0.008), p = 0.019; β -2.44 ms/unit (-4.17, -0.67), p = 0.007] while ΔIGF-II and ΔIGFBP-3 showed no association. In fully adjusted complete case and imputed models (reporting latter) low IGF-I and IGF-I/IGFBP-3 ratio at 60-64y [β -0.21 ms/nmol/L (-0.39, -0.04), p = 0.017; β -20.14 ms/unit (-36.28, -3.99), p = 0.015], steeper decline in ΔIGF-I [β -0.05 ms/nmol/L/10 years (-0.10, -0.002), p = 0.042] and shallower rise in ΔIGF-I/IGFBP-3 ratio over a decade [β -2.16 ms/unit/10 years (-4.23, -0.09), p = 0.041], were all independently associated with QTc prolongation. Independent associations with QTc were also confirmed for other previously known covariates: female sex [β 9.65 ms (6.65, 12.65), p < 0.001], increased left ventricular mass [β 0.04 ms/g (0.02, 0.06), p < 0.001] and blood potassium levels [β -5.70 ms/mmol/L (-10.23, -1.18) p = 0.014]. Conclusion Over a decade, in an older age population-based cohort, declining levels and bioavailability of IGF-I associate with prolongation of the QTc interval. As QTc prolongation associates with increased risk for sudden death even in apparently healthy people, further research into the antiarrhythmic effects of IGF-I on cardiomyocytes is warranted.
Collapse
Affiliation(s)
- Christos Charalambous
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
| | - James C. Moon
- UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
- Cardiac MRI Unit, Barts Heart Centre, London, United Kingdom
| | - Jeff M. P. Holly
- National Institute for Health Research (NIHR) Bristol Nutrition Biomedical Research Unit, Level 3, University Hospitals Bristol Education and Research Centre, Bristol, United Kingdom
- Faculty of Health Sciences, School of Translational Health Sciences, Bristol Medical School, Southmead Hospital, University of Bristol, Bristol, United Kingdom
| | - Nishi Chaturvedi
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
| | - Alun D. Hughes
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
- UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Gabriella Captur
- UCL MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
- UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
- Cardiology Department, Centre for Inherited Heart Muscle Conditions, The Royal Free Hospital, London, United Kingdom
| |
Collapse
|
4
|
Peters R, Breitner J, James S, Jicha GA, Meyer P, Richards M, Smith AD, Yassine HN, Abner E, Hainsworth AH, Kehoe PG, Beckett N, Weber C, Anderson C, Anstey KJ, Dodge HH. Dementia risk reduction: why haven't the pharmacological risk reduction trials worked? An in-depth exploration of seven established risk factors. Alzheimers Dement (N Y) 2021; 7:e12202. [PMID: 34934803 PMCID: PMC8655351 DOI: 10.1002/trc2.12202] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 06/03/2021] [Accepted: 06/18/2021] [Indexed: 12/21/2022]
Abstract
Identifying the leading health and lifestyle factors for the risk of incident dementia and Alzheimer's disease has yet to translate to risk reduction. To understand why, we examined the discrepancies between observational and clinical trial evidence for seven modifiable risk factors: type 2 diabetes, dyslipidemia, hypertension, estrogens, inflammation, omega-3 fatty acids, and hyperhomocysteinemia. Sample heterogeneity and paucity of intervention details (dose, timing, formulation) were common themes. Epidemiological evidence is more mature for some interventions (eg, non-steroidal anti-inflammatory drugs [NSAIDs]) than others. Trial data are promising for anti-hypertensives and B vitamin supplementation. Taken together, these risk factors highlight a future need for more targeted sample selection in clinical trials, a better understanding of interventions, and deeper analysis of existing data.
Collapse
Affiliation(s)
- Ruth Peters
- Neuroscience ResearchSydneyNew South WalesAustralia
- Department of Psychology University of New South WalesSydneyNew South WalesAustralia
| | - John Breitner
- Douglas Hospital Research Center and McGill UniversityQuebecCanada
| | - Sarah James
- MRC Unit for Lifelong Health and Ageing at UCLUniversity College LondonLondonUK
| | | | - Pierre‐Francois Meyer
- Center for Studies on the Prevention of Alzheimer's Disease (PREVENT‐AD)VerdunQuebecCanada
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCLUniversity College LondonLondonUK
| | - A. David Smith
- OPTIMADepartment of PharmacologyUniversity of OxfordOxfordUK
| | - Hussein N. Yassine
- Departments of Medicine and NeurologyUniversity of Southern CaliforniaCaliforniaUSA
| | - Erin Abner
- University of KentuckyLexingtonKentuckyUSA
| | - Atticus H. Hainsworth
- Molecular and Clinical Sciences Research InstituteSt GeorgesUniversity of LondonLondonUK
- Department of NeurologySt George's HospitalLondonUK
| | | | | | | | - Craig Anderson
- The George Institute for Global HealthSydneyNew South WalesAustralia
| | - Kaarin J. Anstey
- Neuroscience ResearchSydneyNew South WalesAustralia
- Department of Psychology University of New South WalesSydneyNew South WalesAustralia
| | | |
Collapse
|
5
|
Garfield V, Farmaki AE, Fatemifar G, Eastwood SV, Mathur R, Rentsch CT, Denaxas S, Bhaskaran K, Smeeth L, Chaturvedi N. Relationship Between Glycemia and Cognitive Function, Structural Brain Outcomes, and Dementia: A Mendelian Randomization Study in the UK Biobank. Diabetes 2021; 70:2313-2321. [PMID: 33632741 DOI: 10.2337/db20-0895] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 06/06/2021] [Indexed: 11/13/2022]
Abstract
We investigated the relationship between glycemia and cognitive function, brain structure and incident dementia using bidirectional Mendelian randomization (MR). Data were from the UK Biobank (n = ∼500,000). Our exposures were genetic instruments for type 2 diabetes (157 variants) and HbA1c (51 variants) and our outcomes were reaction time (RT), visual memory, hippocampal volume (HV), white matter hyperintensity volume (WMHV), and Alzheimer dementia (AD). We also investigated associations between genetic variants for RT (43 variants) and diabetes and HbA1c We used conventional inverse-variance-weighted (IVW) MR alongside MR sensitivity analyses. Using IVW, genetic liability to type 2 diabetes was not associated with RT (exponentiated β [expβ] = 1.00 [95% CI 1.00; 1.00]), visual memory (expβ = 1.00 [95% CI 0.99; 1.00]), WMHV (expβ = 0.99 [95% CI 0.97; 1.01]), HV (β-coefficient mm3 = -2.30 [95% CI -12.39; 7.78]) or AD (odds ratio [OR] 1.15 [95% CI 0.87; 1.52]). HbA1c was not associated with RT (expβ = 1.00 [95% CI 0.99; 1.02]), visual memory (expβ = 0.99 [95% CI 0.96; 1.02]), WMHV (expβ = 1.03 [95% CI 0.88; 1.22]), HV (β = -21.31 [95% CI -82.96; 40.34]), or risk of AD (OR 1.09 [95% CI 0.42; 2.83]). IVW showed that reaction time was not associated with diabetes risk (OR 0.94 [95% CI 0.54; 1.65]), or with HbA1c (β-coefficient mmol/mol = -0.88 [95% CI = -1.88; 0.13]) after exclusion of a pleiotropic variant. Overall, we observed little evidence of causal association between genetic instruments for type 2 diabetes or peripheral glycemia and some measures of cognition and brain structure in midlife.
Collapse
Affiliation(s)
- Victoria Garfield
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, U.K.
| | - Aliki-Eleni Farmaki
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, U.K
| | - Ghazaleh Fatemifar
- Institute of Health Informatics, University College London, London, U.K
- Health Data Research UK, London, U.K
| | - Sophie V Eastwood
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, U.K
| | - Rohini Mathur
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, U.K
| | - Christopher T Rentsch
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, U.K
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, U.K
- Health Data Research UK, London, U.K
- The Alan Turing Institute, British Library, London, U.K
| | - Krishnan Bhaskaran
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, U.K
| | - Liam Smeeth
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, U.K
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, U.K
| |
Collapse
|
6
|
Pan Y, Chen W, Yan H, Wang M, Xiang X. Glycemic traits and Alzheimer's disease: a Mendelian randomization study. Aging (Albany NY) 2020; 12:22688-22699. [PMID: 33202379 PMCID: PMC7746331 DOI: 10.18632/aging.103887] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 07/25/2020] [Indexed: 02/06/2023]
Abstract
Previous observational studies have reported an association between impaired glucose metabolism and Alzheimer’s disease. This study aimed to examine the causal association of glycemic traits with Alzheimer’s disease. We used a two-sample Mendelian randomization approach to evaluate the causal effect of six glycemic traits (type 2 diabetes, fasting glucose, fasting insulin, hemoglobin A1c, homeostasis model assessment- insulin resistance and HOMA-β-cell function) on Alzheimer’s disease. Summary data on the association of single nucleotide polymorphisms with these glycemic traits were obtained from genome-wide association studies of the DIAbetes Genetics Replication And Meta-analysis and Meta-Analyses of Glucose and Insulin-related traits Consortium. Summary data on the association of single nucleotide polymorphisms with Alzheimer’s disease were obtained from the International Genomics of Alzheimer's Project. The Mendelian randomization analysis showed that 1-standard deviation higher fasting glucose and lower HOMA-β-cell function (indicating pancreatic β-cell dysfunction) were causally associated with a substantial increase in risk of Alzheimer’s disease (odds ratio=1.33, 95% confidence interval: 1.04-1.68, p=0.02; odds ratio=1.92, 95% confidence interval: 1.15-3.21, p=0.01). However, no significant association was observed for other glycemic traits. This Mendelian randomization analysis provides evidence of causal associations between glycemic traits, especially high fasting glucose and pancreatic β-cell dysfunction, and high risk of Alzheimer's disease.
Collapse
Affiliation(s)
- Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Weiqi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyi Yan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xianglong Xiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| |
Collapse
|