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Rhea EM, Leclerc M, Yassine HN, Capuano AW, Tong H, Petyuk VA, Macauley SL, Fioramonti X, Carmichael O, Calon F, Arvanitakis Z. State of the Science on Brain Insulin Resistance and Cognitive Decline Due to Alzheimer's Disease. Aging Dis 2024; 15:1688-1725. [PMID: 37611907 PMCID: PMC11272209 DOI: 10.14336/ad.2023.0814] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/14/2023] [Indexed: 08/25/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is common and increasing in prevalence worldwide, with devastating public health consequences. While peripheral insulin resistance is a key feature of most forms of T2DM and has been investigated for over a century, research on brain insulin resistance (BIR) has more recently been developed, including in the context of T2DM and non-diabetes states. Recent data support the presence of BIR in the aging brain, even in non-diabetes states, and found that BIR may be a feature in Alzheimer's disease (AD) and contributes to cognitive impairment. Further, therapies used to treat T2DM are now being investigated in the context of AD treatment and prevention, including insulin. In this review, we offer a definition of BIR, and present evidence for BIR in AD; we discuss the expression, function, and activation of the insulin receptor (INSR) in the brain; how BIR could develop; tools to study BIR; how BIR correlates with current AD hallmarks; and regional/cellular involvement of BIR. We close with a discussion on resilience to both BIR and AD, how current tools can be improved to better understand BIR, and future avenues for research. Overall, this review and position paper highlights BIR as a plausible therapeutic target for the prevention of cognitive decline and dementia due to AD.
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Affiliation(s)
- Elizabeth M Rhea
- Geriatric Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA.
- Department of Medicine, Division of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA 98195, USA.
| | - Manon Leclerc
- Faculty of Pharmacy, Laval University, Quebec, Quebec, Canada.
- Neuroscience Axis, CHU de Québec Research Center - Laval University, Quebec, Quebec, Canada.
| | - Hussein N Yassine
- Departments of Neurology and Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Ana W Capuano
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
| | - Han Tong
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
| | - Shannon L Macauley
- Department of Physiology, University of Kentucky, Lexington, KY 40508, USA.
| | - Xavier Fioramonti
- International Associated Laboratory OptiNutriBrain, Bordeaux, France and Quebec, Canada.
- Univ. Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, F-33000 Bordeaux, France.
| | - Owen Carmichael
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
| | - Frederic Calon
- Faculty of Pharmacy, Laval University, Quebec, Quebec, Canada.
- Neuroscience Axis, CHU de Québec Research Center - Laval University, Quebec, Quebec, Canada.
- International Associated Laboratory OptiNutriBrain, Bordeaux, France and Quebec, Canada.
| | - Zoe Arvanitakis
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
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Arvanitakis Z, Capuano AW, Tong H, Mehta RI, Anokye-Danso F, Bennett DA, Arnold SE, Ahima RS. Associations of Serum Insulin and Related Measures With Neuropathology and Cognition in Older Persons With and Without Diabetes. Ann Neurol 2024; 95:665-676. [PMID: 38379184 PMCID: PMC11023784 DOI: 10.1002/ana.26882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/23/2023] [Accepted: 01/26/2024] [Indexed: 02/22/2024]
Abstract
OBJECTIVE To examine associations of serum insulin and related measures with neuropathology and cognition in older persons. METHODS We studied 192 older persons (96 with diabetes and 96 without, matched by sex and balanced by age-at-death, education, and postmortem interval) from a community-based, clinical-pathologic study of aging, with annual evaluations including neuropsychological testing (summarized into global cognition and 5 cognitive domains) and postmortem autopsy. We assessed serum insulin, glucose, leptin, adiponectin, hemoglobin A1C, advanced glycation-end products (AGEs), and receptors for advanced glycation-end products, and calculated the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and adiponectin-to-leptin ratio. Using adjusted regression analyses, we examined the associations of serum measures with neuropathology of cerebrovascular disease and Alzheimer's disease, and with the level of cognition proximate-to-death. RESULTS Higher HOMA-IR was associated with the presence of brain infarcts and specifically microinfarcts, and higher HOMA-IR and leptin were each associated with subcortical infarcts. Further, higher leptin levels and lower adiponectin-to-leptin ratios were associated with the presence of moderate-to-severe atherosclerosis. Serum insulin and related measures were not associated with the level of Alzheimer's disease pathology, as assessed by global, as well as amyloid burden or tau tangle density scores. Regarding cognitive outcomes, higher insulin and leptin levels, and lower adiponectin and receptors for advanced glycation-end products levels, respectively, were each associated with lower levels of global cognition. INTERPRETATION Peripheral insulin resistance indicated by HOMA-IR and related serum measures was associated with a greater burden of cerebrovascular neuropathology and lower cognition. ANN NEUROL 2024;95:665-676.
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Affiliation(s)
- Zoe Arvanitakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Han Tong
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Rupal I Mehta
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Frederick Anokye-Danso
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Steven E Arnold
- Alzheimer's Clinical and Translational Research Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Rexford S Ahima
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
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van Gils V, Rizzo M, Côté J, Viechtbauer W, Fanelli G, Salas-Salvadó J, Wimberley T, Bulló M, Fernandez-Aranda F, Dalsgaard S, Visser PJ, Jansen WJ, Vos SJB. The association of glucose metabolism measures and diabetes status with Alzheimer's disease biomarkers of amyloid and tau: A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 159:105604. [PMID: 38423195 DOI: 10.1016/j.neubiorev.2024.105604] [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: 11/23/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 03/02/2024]
Abstract
Conflicting evidence exists on the relationship between diabetes mellitus (DM) and Alzheimer's disease (AD) biomarkers. Therefore, we conducted a random-effects meta-analysis to evaluate the correlation of glucose metabolism measures (glycated hemoglobin, fasting blood glucose, insulin resistance indices) and DM status with AD biomarkers of amyloid-β and tau measured by positron emission tomography or cerebrospinal fluid. We selected 37 studies from PubMed and Embase, including 11,694 individuals. More impaired glucose metabolism and DM status were associated with higher tau biomarkers (r=0.11[0.03-0.18], p=0.008; I2=68%), but were not associated with amyloid-β biomarkers (r=-0.06[-0.13-0.01], p=0.08; I2=81%). Meta-regression revealed that glucose metabolism and DM were specifically associated with tau biomarkers in population settings (p=0.001). Furthermore, more impaired glucose metabolism and DM status were associated with lower amyloid-β biomarkers in memory clinic settings (p=0.004), and in studies with a higher prevalence of dementia (p<0.001) or lower cognitive scores (p=0.04). These findings indicate that DM is associated with biomarkers of tau but not with amyloid-β. This knowledge is valuable for improving dementia and DM diagnostics and treatment.
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Affiliation(s)
- Veerle van Gils
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.
| | - Marianna Rizzo
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Jade Côté
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Wolfgang Viechtbauer
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, Nijmegen, the Netherlands
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Alimentació, Nutrició, Desenvolupament i Salut Mental, Reus, Spain; CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid 28029, Spain
| | - Theresa Wimberley
- The National Center for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
| | - Mònica Bulló
- CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid 28029, Spain; Nutrition and Metabolic Health Research Group (NuMeH). Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), Reus 43201, Spain; Center of Environmental, Food and Toxicological Technology - TecnATox, Rovira i Virgili University, Reus 43201, Spain
| | - Fernando Fernandez-Aranda
- CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid 28029, Spain; Department of Clinical Psychology, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Spain
| | - Søren Dalsgaard
- The National Center for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark; iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark
| | - Pieter Jelle Visser
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands; Alzheimer Center and Department of Neurology, Amsterdam Neuroscience Campus, VU University Medical Center, Amsterdam, the Netherlands
| | - Willemijn J Jansen
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Stephanie J B Vos
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
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Chen YH, Wang ZB, Liu XP, Mao ZQ. Plasma Insulin Predicts Early Amyloid-β Pathology Changes in Alzheimer's Disease. J Alzheimers Dis 2024; 100:321-332. [PMID: 38848190 DOI: 10.3233/jad-240289] [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] [Indexed: 06/09/2024]
Abstract
Background Evidence suggests that type 2 diabetes (T2D) is an independent risk factor for Alzheimer's disease (AD), sharing similar pathophysiological traits like impaired insulin signaling. Objective To test the association between plasma insulin and cerebrospinal fluid (CSF) AD pathology. Methods A total of 304 participants were included in the Alzheimer's Disease Neuroimaging Initiative, assessing plasma insulin and CSF AD pathology. We explored the cross-sectional and longitudinal associations between plasma insulin and AD pathology and compared their associations across different AD clinical and pathological stages. Results In the non-demented group, amyloid-β (Aβ)+ participants (e.g., as reflected by CSF Aβ42) exhibited significantly lower plasma insulin levels compared to non-demented Aβ-participants (p < 0.001). This reduction in plasma insulin was more evident in the A+T+ group (as shown by CSF Aβ42 and pTau181 levels) when compared to the A-T- group within the non-dementia group (p = 0.002). Additionally, higher plasma insulin levels were consistently associated with more normal CSF Aβ42 levels (p < 0.001) across all participants. This association was particularly significant in the Aβ-group (p = 0.002) and among non-demented individuals (p < 0.001). Notably, baseline plasma insulin was significantly correlated with longitudinal changes in CSF Aβ42 (p = 0.006), whereas baseline CSF Aβ42 did not show a similar correlation with changes in plasma insulin over time. Conclusions These findings suggest an association between plasma insulin and early Aβ pathology in the early stages of AD, indicating that plasma insulin may be a potential predictor of changes in early Aβ pathology.
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Affiliation(s)
- Yu-Han Chen
- The First Clinical Medical School, Hebei North University, Zhangjiakou, China
| | - Zhi-Bo Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Xi-Peng Liu
- Department of Neurosurgery, The First Affiliated Hospital of Hebei North University, Hebei, Zhangjiakou, China
| | - Zhi-Qi Mao
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, China
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Song ZH, Liu J, Wang XF, Simó R, Zhang C, Zhou JB. Impact of ectopic fat on brain structure and cognitive function:A systematic review and meta-analysis from observational studies. Front Neuroendocrinol 2023:101082. [PMID: 37414372 DOI: 10.1016/j.yfrne.2023.101082] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 07/02/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023]
Abstract
Ectopic fat, defined as a specific organ or compartment with the accumulation of fat tissue surrounding organs, is highly associated with obesity which has been identified as a risk factor for cognitive impairment and dementia. However, the relationship between ectopic fat and changes in brain structure or cognition is yet to be elucidated. Here, we investigated the effects of ectopic fat on brain structure and cognitive function via systemic review and meta-analysis. A total of 22 studies were included, encompassing 1,003,593 participants-obtained from electronic databases up to July 9, 2022. We found ectopic that fat was associated with decreased total brain volume and increased lateral ventricle volume. In addition, ectopic was associated with decreased cognitive scores and negatively correlated with cognitive function. More specifically, dementia development was correlated with increased levels of visceral fat. Overall, our data suggest that increased ectopic fat is associated with prominent structural changes in the brain and cognitive decline, an effect driven mainly by increases in visceral fat, while subcutaneous fat may be protective. Our results suggest that patients with increased visceral fat are at risk of developing cognitive impairment and, therefore, represent a subset of population in whom appropriate and timely preventive measures could be implemented.
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Affiliation(s)
- Zhi-Hui Song
- Department of Pharmacy, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jing Liu
- Department of Pharmacy, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi, People's Republic of China
| | - Xiao-Feng Wang
- Department of Clinical Pharmacy, Xilingol Mongolian Hospital, Xilinhot, Inner Mongolia Autonomous Region, People's Republic of China
| | - Rafael Simó
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM). Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Endocrinology and Nutrition Department. Hospital Universitari Vall d'Hebron. Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca (VHIR). Universitat Autònoma de Barcelona. Passeig de la Vall d'Hebron, 119. 08035 Barcelona, Spain
| | - Chao Zhang
- Department of Pharmacy, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China.
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China.
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Tian J, Wang T, Jia K, Guo L, Swerdlow RH, Du H. Nonobese Male Patients with Alzheimer's Disease Are Vulnerable to Decrease in Plasma Leptin. J Alzheimers Dis 2022; 88:1017-1027. [PMID: 35723107 PMCID: PMC9553411 DOI: 10.3233/jad-220447] [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] [Indexed: 11/15/2022]
Abstract
BACKGROUND Metabolic dysfunction links to cognitive deficits in Alzheimer's disease (AD). Leptin is an anti-obesity hormone that modulates energy homeostasis and memory function. Although leptin deregulation is implicated in mouse models of AD-like brain pathology, clinical studies have shown inconsistent results regarding an association of leptin with the development of this neurodegenerative disorder. OBJECTIVE We investigated the changes of plasma leptin and the correlation of sex-stratified circulating leptin with cognitive performance, AD-related biological markers, and metabolic status in patients with AD and cognitively unimpaired (CU) counterparts. METHODS We used nonobese AD patients and CU controls in a University of Kansas Medical Center (KUMC) cohort. Plasma leptin levels, circulating AD-related molecules and metabolic profiles were examined and analyzed. RESULTS In contrast to unchanged circulating leptin in females, male patients exhibited decreased plasma leptin levels compared with male CU counterparts. Moreover, plasma leptin showed no correlation with cognitive performance and AD blood biomarkers in patients with either sex. Of note, females but not males demonstrated an association of plasma leptin with body mass index, high density lipoprotein-cholesterol and its ratio with total cholesterol and triglycerides. CONCLUSION Our findings suggest that leptin deficiency is associated with nonobese male AD patients, supporting systemic dysmetabolism in the development of this neurodegenerative disorder in certain populations. Although plasma leptin may have limited capacity to reflect disease severity or progression, future mechanistic studies on the regulation of leptin in nonobese patients with AD would deepen our understanding of the sex-related disparity of AD etiopathogenesis.
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Affiliation(s)
- Jing Tian
- Department of Pharmacology and Toxicology, School of Pharmacy, University of Kansas, Lawrence, KS, USA
| | - Tienju Wang
- Department of Pharmacology and Toxicology, School of Pharmacy, University of Kansas, Lawrence, KS, USA
| | - Kun Jia
- Department of Pharmacology and Toxicology, School of Pharmacy, University of Kansas, Lawrence, KS, USA
| | - Lan Guo
- Higuchi Biosciences Center, University of Kansas, Lawrence, KS, USA
| | - Russell H. Swerdlow
- Department of Neurology, Alzheimer’s Disease Center, University of Kansas Medical Center, Lawrence, KS, USA
| | - Heng Du
- Department of Pharmacology and Toxicology, School of Pharmacy, University of Kansas, Lawrence, KS, USA
- Higuchi Biosciences Center, University of Kansas, Lawrence, KS, USA
- Department of Neurology, Alzheimer’s Disease Center, University of Kansas Medical Center, Lawrence, KS, USA
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