51
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The diabetic brain and cognition. J Neural Transm (Vienna) 2017; 124:1431-1454. [PMID: 28766040 DOI: 10.1007/s00702-017-1763-2] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 07/13/2017] [Indexed: 12/20/2022]
Abstract
The prevalence of both Alzheimer's disease (AD) and vascular dementia (VaD) is increasing with the aging of the population. Studies from the last several years have shown that people with diabetes have an increased risk for dementia and cognitive impairment. Therefore, the authors of this consensus review tried to elaborate on the role of diabetes, especially diabetes type 2 (T2DM) in both AD and VaD. Based on the clinical and experimental work of scientists from 18 countries participating in the International Congress on Vascular Disorders and on literature search using PUBMED, it can be concluded that T2DM is a risk factor for both, AD and VaD, based on a pathology of glucose utilization. This pathology is the consequence of a disturbance of insulin-related mechanisms leading to brain insulin resistance. Although the underlying pathological mechanisms for AD and VaD are different in many aspects, the contribution of T2DM and insulin resistant brain state (IRBS) to cerebrovascular disturbances in both disorders cannot be neglected. Therefore, early diagnosis of metabolic parameters including those relevant for T2DM is required. Moreover, it is possible that therapeutic options utilized today for diabetes treatment may also have an effect on the risk for dementia. T2DM/IRBS contribute to pathological processes in AD and VaD.
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Ly H, Verma N, Wu F, Liu M, Saatman KE, Nelson PT, Slevin JT, Goldstein LB, Biessels GJ, Despa F. Brain microvascular injury and white matter disease provoked by diabetes-associated hyperamylinemia. Ann Neurol 2017; 82:208-222. [PMID: 28696548 DOI: 10.1002/ana.24992] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 06/20/2017] [Accepted: 07/03/2017] [Indexed: 12/11/2022]
Abstract
OBJECTIVE The brain blood vessels of patients with type 2 diabetes and dementia have deposition of amylin, an amyloidogenic hormone cosecreted with insulin. It is not known whether vascular amylin deposition is a consequence or a trigger of vascular injury. We tested the hypothesis that the vascular amylin deposits cause endothelial dysfunction and microvascular injury and are modulated by amylin transport in the brain via plasma apolipoproteins. METHODS Rats overexpressing amyloidogenic (human) amylin in the pancreas (HIP rats) and amylin knockout (AKO) rats intravenously infused with aggregated amylin were used for in vivo phenotyping. We also carried out biochemical analyses of human brain tissues and studied the effects of the aggregated amylin on endothelial cells ex vivo. RESULTS Amylin deposition in brain blood vessels is associated with vessel wall disruption and abnormal surrounding neuropil in patients with type 2 diabetes and dementia, in HIP rats, and in AKO rats infused with aggregated amylin. HIP rats have brain microhemorrhages, white matter injury, and neurologic deficits. Vascular amylin deposition provokes loss of endothelial cell coverage and tight junctions. Intravenous infusion in AKO rats of human amylin, or combined human amylin and apolipoprotein E4, showed that amylin binds to plasma apolipoproteins. The intravenous infusion of apolipoprotein E4 exacerbated the brain accumulation of aggregated amylin and vascular pathology in HIP rats. INTERPRETATION These data identify vascular amylin deposition as a trigger of brain endothelial dysfunction that is modulated by plasma apolipoproteins and represents a potential therapeutic target in diabetes-associated dementia and stroke. Ann Neurol 2017;82:208-222.
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Affiliation(s)
- Han Ly
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY
| | - Nirmal Verma
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY
| | - Fengen Wu
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY
| | - Miao Liu
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY
| | - Kathryn E Saatman
- Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY.,Department of Physiology, University of Kentucky, Lexington, KY
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY
| | - John T Slevin
- Veterans Administration Medical Center, Lexington, KY.,Department of Neurology, University of Kentucky, Lexington, KY
| | | | - Geert Jan Biessels
- Department of Neurology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Florin Despa
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY.,Department of Neurology, University of Kentucky, Lexington, KY
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53
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Sutherland GT, Lim J, Srikanth V, Bruce DG. Epidemiological Approaches to Understanding the Link Between Type 2 Diabetes and Dementia. J Alzheimers Dis 2017; 59:393-403. [DOI: 10.3233/jad-161194] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Greg T. Sutherland
- Discipline of Pathology, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Julia Lim
- Discipline of Pathology, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Velandai Srikanth
- Medicine, Peninsula Clinical School, Central Clinical School, Frankston Hospital, Peninsula Health, Melbourne, VIC, Australia
| | - David G. Bruce
- School of Medicine & Pharmacology, University of Western Australia, Crawley, WA, Australia
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54
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Frosch OH, Yau PL, Osorio RS, Rusinek H, Storey P, Convit A. Insulin resistance among obese middle-aged is associated with decreased cerebrovascular reactivity. Neurology 2017; 89:249-255. [PMID: 28615420 DOI: 10.1212/wnl.0000000000004110] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 04/14/2017] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE To evaluate differences in cerebrovascular reactivity (CVR) to mild hypercapnia in obese/overweight individuals with and without insulin resistance (IR) compared to comparable lean controls. METHODS A total of 60 cognitively normal participants (20 lean controls and 24 obese/overweight individuals with and 16 without IR) were evaluated using a high spatial resolution arterial spin labeling MRI technique at rest and during mild hypercapnia. We analyzed group differences in CVR in cerebral cortex and ascertained the relationships between CVR, IR, and body mass index (BMI). RESULTS Obese/overweight participants with and without IR had significantly lower CVR to hypercapnia than lean controls after controlling for age, sex, and the presence of hypertension (F2,53 = 5.578, p = 0.006 [Formula: see text] = 0.174). In the obese/overweight participants with IR, there was a significant correlation between higher CVR and a measure of insulin sensitivity, even after accounting for BMI (rp = 0.575, p = 0.004). In contrast, there was no relationship between CVR and BMI when controlling for IR. No such relationships existed for the other 2 groups. CONCLUSIONS IR is associated with impaired CVR; the relationship appears to be driven by the degree of IR and not by obesity. These rarely reported results suggest that early forms of cerebrovascular dysfunction exist among obese middle-aged individuals with significant IR but without type 2 diabetes mellitus. These functional vascular abnormalities may help explain the associations among IR, diabetes, and dementia, and suggest that interventions aiming to improve IR or CVR may help prevent cognitive decline later in life.
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Affiliation(s)
- Olivia H Frosch
- From the Departments of Psychiatry (O.H.F., P.L.Y., R.S.O., H.R., A.C.), Radiology (H.R., P.S., A.C.), and Medicine (A.C.), New York University School of Medicine, New York; and Nathan Kline Institute for Psychiatric Research (A.C.), Orangeburg, NY
| | - Po Lai Yau
- From the Departments of Psychiatry (O.H.F., P.L.Y., R.S.O., H.R., A.C.), Radiology (H.R., P.S., A.C.), and Medicine (A.C.), New York University School of Medicine, New York; and Nathan Kline Institute for Psychiatric Research (A.C.), Orangeburg, NY
| | - Ricardo S Osorio
- From the Departments of Psychiatry (O.H.F., P.L.Y., R.S.O., H.R., A.C.), Radiology (H.R., P.S., A.C.), and Medicine (A.C.), New York University School of Medicine, New York; and Nathan Kline Institute for Psychiatric Research (A.C.), Orangeburg, NY
| | - Henry Rusinek
- From the Departments of Psychiatry (O.H.F., P.L.Y., R.S.O., H.R., A.C.), Radiology (H.R., P.S., A.C.), and Medicine (A.C.), New York University School of Medicine, New York; and Nathan Kline Institute for Psychiatric Research (A.C.), Orangeburg, NY
| | - Pippa Storey
- From the Departments of Psychiatry (O.H.F., P.L.Y., R.S.O., H.R., A.C.), Radiology (H.R., P.S., A.C.), and Medicine (A.C.), New York University School of Medicine, New York; and Nathan Kline Institute for Psychiatric Research (A.C.), Orangeburg, NY
| | - Antonio Convit
- From the Departments of Psychiatry (O.H.F., P.L.Y., R.S.O., H.R., A.C.), Radiology (H.R., P.S., A.C.), and Medicine (A.C.), New York University School of Medicine, New York; and Nathan Kline Institute for Psychiatric Research (A.C.), Orangeburg, NY.
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55
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Hawkins KA, Emadi N, Pearlson GD, Winkler AM, Taylor B, Dulipsingh L, King D, Pittman B, Blank K. Hyperinsulinemia and elevated systolic blood pressure independently predict white matter hyperintensities with associated cognitive decrement in the middle-aged offspring of dementia patients. Metab Brain Dis 2017; 32:849-857. [PMID: 28255864 DOI: 10.1007/s11011-017-9980-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Accepted: 02/23/2017] [Indexed: 12/30/2022]
Abstract
Cerebrovascular disease is an independent risk factor for dementia that may also be synergistic with Alzheimer's disease. In recent years attention has switched from cerebral infarcts to microvascular disease as the primary cause of cerebrovascular cognitive decline, with damage to the white matter the primary mechanism. Uncertainties remain regarding the risks posed by different types vascular threat, the extent to which cerebrovascular damage occurs in middle age, and whether relatively "normal" amounts of white matter damage are accompanied by meaningful degrees of cognitive decline. We explored these issues via laboratory, cardiovascular, cognitive, and magnetic resonance imaging (MRI) data in 67 middle-aged cognitively normal offspring of dementia patients. The sample was enriched for vascular risk. Plasma insulin, 24-h systolic blood pressure, body mass index, age, and % small dense LDL cholesterol were the strongest correlates of MRI white matter hyperintensity (WMH) volume. With shared variance controlled for, 24 h systolic BP, plasma insulin, and age remained as significant predictors of WMH volume. An interaction variable (24 h BP * insulin) did not improve the prediction of WMH. WMH volume correlated negatively with cognition. No evidence for an ApoE ε4 effect emerged for either WMH or cognition. Hypertension and hyperinsulinemia appear to pose independent, consequential threats to the cerebral small vessel vasculature in middle age, reflected in the presence of areas of WMH on MRI scans. Our data show that even modest WMH volumes in middle age are associated with cognitive decrement, underscoring the importance of aggressive treatment and lifestyle modifications to address vascular risk throughout adulthood.
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Affiliation(s)
- Keith A Hawkins
- Yale University School of Medicine, New Haven, CT, USA.
- Olin Neuropsychiatry Research Center, Hartford, CT, USA.
| | - Nazli Emadi
- Yale University School of Medicine, New Haven, CT, USA
- Olin Neuropsychiatry Research Center, Hartford, CT, USA
| | - Godfrey D Pearlson
- Yale University School of Medicine, New Haven, CT, USA
- Olin Neuropsychiatry Research Center, Hartford, CT, USA
| | - Anderson M Winkler
- Yale University School of Medicine, New Haven, CT, USA
- Oxford Center for Functional MRI of the Brain, University of Oxford, Oxford, UK
| | - Beth Taylor
- Hartford Hospital, Hartford, CT, USA
- University of Connecticut, Storrs, CT, USA
| | | | - Diana King
- Olin Neuropsychiatry Research Center, Hartford, CT, USA
- Institute of Living, Hartford, CT, 06106, USA
| | - Brian Pittman
- Yale University School of Medicine, New Haven, CT, USA
| | - Karen Blank
- Institute of Living, Hartford, CT, 06106, USA
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56
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Ighodaro ET, Abner EL, Fardo DW, Lin AL, Katsumata Y, Schmitt FA, Kryscio RJ, Jicha GA, Neltner JH, Monsell SE, Kukull WA, Moser DK, Appiah F, Bachstetter AD, Van Eldik LJ, Nelson PT. Risk factors and global cognitive status related to brain arteriolosclerosis in elderly individuals. J Cereb Blood Flow Metab 2017; 37:201-216. [PMID: 26738751 PMCID: PMC5363738 DOI: 10.1177/0271678x15621574] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 10/19/2015] [Accepted: 11/16/2015] [Indexed: 01/19/2023]
Abstract
Risk factors and cognitive sequelae of brain arteriolosclerosis pathology are not fully understood. To address this, we used multimodal data from the National Alzheimer's Coordinating Center and Alzheimer's Disease Neuroimaging Initiative data sets. Previous studies showed evidence of distinct neurodegenerative disease outcomes and clinical-pathological correlations in the "oldest-old" compared to younger cohorts. Therefore, using the National Alzheimer's Coordinating Center data set, we analyzed clinical and neuropathological data from two groups according to ages at death: < 80 years (n = 1008) and ≥80 years (n = 1382). In both age groups, severe brain arteriolosclerosis was associated with worse performances on global cognition tests. Hypertension (but not diabetes) was a brain arteriolosclerosis risk factor in the younger group. In the ≥ 80 years age at death group, an ABCC9 gene variant (rs704180), previously associated with aging-related hippocampal sclerosis, was also associated with brain arteriolosclerosis. A post-hoc arterial spin labeling neuroimaging experiment indicated that ABCC9 genotype is associated with cerebral blood flow impairment; in a convenience sample from Alzheimer's Disease Neuroimaging Initiative (n = 15, homozygous individuals), non-risk genotype carriers showed higher global cerebral blood flow compared to risk genotype carriers. We conclude that brain arteriolosclerosis is associated with altered cognitive status and a novel vascular genetic risk factor.
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Affiliation(s)
- Eseosa T Ighodaro
- Department of Anatomy and Neurobiology, University of Kentucky, Lexington, KY, USA.,Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Erin L Abner
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Department of Epidemiology, University of Kentucky, Lexington, KY, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Ai-Ling Lin
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA.,Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA
| | - Yuriko Katsumata
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Richard J Kryscio
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Department of Biostatistics, University of Kentucky, Lexington, KY, USA.,Department of Statistics, University of Kentucky, Lexington, KY, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Janna H Neltner
- Department of Pathology and Laboratory Medicine, Division of Neuropathology, University of Kentucky, Lexington, KY, USA
| | - Sarah E Monsell
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Walter A Kukull
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA.,Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Debra K Moser
- College of Nursing, University of Kentucky, Lexington, KY, USA
| | - Frank Appiah
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Adam D Bachstetter
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Linda J Van Eldik
- Department of Anatomy and Neurobiology, University of Kentucky, Lexington, KY, USA.,Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | | | - Peter T Nelson
- Department of Anatomy and Neurobiology, University of Kentucky, Lexington, KY, USA .,Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.,Department of Pathology and Laboratory Medicine, Division of Neuropathology, University of Kentucky, Lexington, KY, USA
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57
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Ighodaro ET, Nelson PT, Kukull WA, Schmitt FA, Abner EL, Caban-Holt A, Bardach SH, Hord DC, Glover CM, Jicha GA, Van Eldik LJ, Byrd AX, Fernander A. Challenges and Considerations Related to Studying Dementia in Blacks/African Americans. J Alzheimers Dis 2017; 60:1-10. [PMID: 28731440 PMCID: PMC5889715 DOI: 10.3233/jad-170242] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Blacks/African Americans have been reported to be ∼2-4 times more likely to develop clinical Alzheimer's disease (AD) compared to Whites. Unfortunately, study design challenges (e.g., recruitment bias), racism, mistrust of healthcare providers and biomedical researchers, confounders related to socioeconomic status, and other sources of bias are often ignored when interpreting differences in human subjects categorized by race. Failure to account for these factors can lead to misinterpretation of results, reification of race as biology, discrimination, and missed or delayed diagnoses. Here we provide a selected historical background, discuss challenges, present opportunities, and suggest considerations for studying health outcomes among racial/ethnic groups. We encourage neuroscientists to consider shifting away from using biologic determination to interpret data, and work instead toward a paradigm of incorporating both biological and socio-environmental factors known to affect health outcomes with the goal of understanding and improving dementia treatments for Blacks/African Americans and other underserved populations.
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Affiliation(s)
- Eseosa T. Ighodaro
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Peter T. Nelson
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Pathology and Laboratory Medicine, Division of Neuropathology, University of Kentucky, Lexington, KY, USA
| | - Walter A. Kukull
- National Alzheimer’s Coordinating Center, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Frederick A. Schmitt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Erin L. Abner
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Epidemiology, University of Kentucky, Lexington, KY, USA
| | - Allison Caban-Holt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Graduate Center for Gerontology, University of Kentucky, Lexington, KY, USA
| | - Shoshana H. Bardach
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Graduate Center for Gerontology, University of Kentucky, Lexington, KY, USA
| | - Derrick C. Hord
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Crystal M. Glover
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Gregory A. Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Linda J. Van Eldik
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | | | - Anita Fernander
- Department of Behavioral Science, University of Kentucky, Lexington, KY, USA
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58
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Pruzin JJ, Schneider JA, Capuano AW, Leurgans SE, Barnes LL, Ahima RS, Arnold SE, Bennett DA, Arvanitakis Z. Diabetes, Hemoglobin A1C, and Regional Alzheimer Disease and Infarct Pathology. Alzheimer Dis Assoc Disord 2017; 31:41-47. [PMID: 27755004 PMCID: PMC5321787 DOI: 10.1097/wad.0000000000000172] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
We examined the relationship of diabetes and hemoglobin A1C (A1C) to 2 common causes of dementia. The study included 1228 subjects who underwent annual clinical evaluations and a brain autopsy at death, as part of a Rush longitudinal cohort study of aging. A total of 433 subjects had A1C data available. Neuropathologic evaluations documented the size and location of infarcts. Modified silver stain-based Alzheimer disease (AD) measures included global and regional scores. We used regression analyses to examine associations of diabetes and A1C with overall and regional neuropathology. Diabetes [odds ratio (OR)=0.94; 95% confidence interval (CI), 0.73-1.20) and A1C (OR=0.83; 95% CI, 0.62-1.10) were not associated with global AD pathology across the brain, nor with overall or individual measures of neuropathology in mesial temporal or neocortical regions separately (all P>0.05). Diabetes was associated with a higher odds of any infarct (OR=1.43; 95% CI, 1.07-1.90), and particularly with gross (OR=1.53; 95% CI, 1.14-2.06) but not microinfarcts (P=0.06), and subcortical (OR=1.79; 95% CI, 1.34-2.39) but not cortical infarcts (P=0.83). In summary, we found no relationship of diabetes or A1C with global or regional AD pathology, including in the mesial temporal lobe. Diabetes is associated with gross subcortical infarcts. Our results suggest that the diabetes-dementia link is based on subcortical vascular pathology and not on regional AD pathology.
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Affiliation(s)
- Jeremy J Pruzin
- *Rush Alzheimer's Disease Center Departments of †Neurological Sciences ‡Pathology §Behavioral Sciences, Rush University Medical Center, Chicago, IL ∥Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University, Baltimore, MD ¶Department of Neurology, Harvard Medical School, Interdisciplinary Brain Center, Massachusetts General Hospital, Boston, MA
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59
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Type 2 Diabetes, Obesity, and Risk for Dementia: Recent Insights into Brain Insulin Resistance and Hypometabolism. Curr Behav Neurosci Rep 2016. [DOI: 10.1007/s40473-016-0093-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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60
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Greig M, Tesfaye S, Selvarajah D, Wilkinson ID. Insights into the pathogenesis and treatment of painful diabetic neuropathy. HANDBOOK OF CLINICAL NEUROLOGY 2016; 126:559-78. [PMID: 25410244 DOI: 10.1016/b978-0-444-53480-4.00037-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Painful diabetic distal symmetrical polyneuropathy (painful DPN) is a puzzle with two important missing pieces: Firstly we still do not understand why only some patients with neuropathy experience painful symptoms; Secondly we still do not have a complete understanding of how nociception generated in the peripheral nervous system is processed by the central nervous system (CNS). Available treatments offer only symptom relief and there is currently no effective treatment based on arresting or reversing the progression of disease. Therefore the management of painful DPN remains less than optimal because the complex pathophysiology of nociception and pain perception in health and disease is incompletely understood. Studies of the peripheral nervous system are investigating the molecular processes involved in signal transduction that have the potential to be interrupted or modified to ease pain. Magnetic resonance imaging techniques are helping to elucidate central pain processing pathways and describe the translation of nociception to pain. Combining the knowledge from these two streams of enquiry we will soon be able to predict accurately who will develop painful DPN, how we can halt or reverse the condition, or who will respond to symptomatic treatments. Future developments in the treatment of painful DPN will be underpinned by decoding the peripheral and central mechanisms of pain. Research is focusing on these areas of enquiry in the hope that answers will lead to effective treatments to alleviate pain and reverse pathology for those suffering from painful DPN.
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Affiliation(s)
- Marni Greig
- Diabetes Department, Royal Hallamshire Hospital, Sheffield, UK
| | - Solomon Tesfaye
- Diabetes Department, Royal Hallamshire Hospital, Sheffield, UK.
| | | | - Iain D Wilkinson
- Academic Radiology, Department of Cardiovascular Science, Royal Hallamshire Hospital, Sheffield, UK
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61
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Abstract
This chapter gives an overview of the literature on cognitive dysfunction in adults with type 1 or type 2 diabetes. First, methods to evaluate cognitive functioning and the pattern and severity of cognitive dysfunction in relation to diabetes will be discussed. The reader will note that diabetes is associated with worse cognitive functioning and an increased dementia risk. Next, diabetes-associated abnormalities on brain MRI, including reductions in brain volume - i.e., cerebral atrophy - and vascular lesions, will be addressed. At the group level there are clear relations between these imaging abnormalities and cognitive dysfunction, but at the level of the individual patient these relations are often less clear. Subsequently, risk factors for cognitive performance will be discussed. Evidently, these risk factors are related to diabetes type and the age of the patients involved. For type 1 diabetes, an early age at diabetes onset is the most consistent risk factor, whereas in type 2 diabetes, vascular risk factors and vascular comorbidities are consistent indicators of increased risk. The final section of the chapter addresses possible preventive and treatment measures and implications for daily care.
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62
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Cui Y, Li SF, Gu H, Hu YZ, Liang X, Lu CQ, Cai Y, Wang CX, Yang Y, Teng GJ. Disrupted Brain Connectivity Patterns in Patients with Type 2 Diabetes. AJNR Am J Neuroradiol 2016; 37:2115-2122. [PMID: 27365332 DOI: 10.3174/ajnr.a4858] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 05/11/2016] [Indexed: 01/12/2023]
Abstract
BACKGROUND AND PURPOSE Type 2 diabetes is associated with an increased risk of dementia. This study investigated the global connectivity patterns in the brains of patients with type 2 diabetes by using a functional MR imaging technique. MATERIALS AND METHODS Forty patients and 43 age-, sex-, and education-matched healthy controls underwent resting-state functional imaging in a 3T MR imaging unit. Degree centrality, a commonly used measurement of global connectivity, was computed for a full-brain exploration of the regions influenced by type 2 diabetes. We then examined the functional connectivity of each region by using the seed-based approach. Finally, voxelwise correlation analyses were performed to explore the relationship among the connectivity changes, cognitive performance, and diabetes-related variables. RESULTS Patients exhibited decreased degree centrality in the left lingual gyrus and increased centrality in the right insula and dorsal anterior cingulate cortex (corrected P < .05). The occipital network anchored in the lingual gyrus showed extensively reduced connectivity, while the network connectivity of the insula and cingulate cortex (mostly included in the salience network) was significantly elevated (corrected P < .05). Correlational analyses revealed that in the diabetic group, impaired visual memory and executive function performance were correlated with occipital hypoconnectivity, while higher fasting plasma glucose levels and better executive functioning were related to anterior cingulate cortex hyperconnectivity (all corrected P values < .05). Similar effects were not detected in the controls. CONCLUSIONS This preliminary study shows that network connectivity is altered in patients with type 2 diabetes, which may provide critical insight into the neural substrate of diabetes-related cognitive decline.
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Affiliation(s)
- Y Cui
- From the Department of Radiology (Y.Cui, C.-Q.L., Y.Cai, C-X.W., G.-J.T.), Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.,Neuroimaging Research Branch (Y.Cui, S.-F.L., H.G., Y.-Z.H, X.L., Y.Y.), National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - S-F Li
- Neuroimaging Research Branch (Y.Cui, S.-F.L., H.G., Y.-Z.H, X.L., Y.Y.), National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - H Gu
- Neuroimaging Research Branch (Y.Cui, S.-F.L., H.G., Y.-Z.H, X.L., Y.Y.), National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - Y-Z Hu
- Neuroimaging Research Branch (Y.Cui, S.-F.L., H.G., Y.-Z.H, X.L., Y.Y.), National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - X Liang
- Neuroimaging Research Branch (Y.Cui, S.-F.L., H.G., Y.-Z.H, X.L., Y.Y.), National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - C-Q Lu
- From the Department of Radiology (Y.Cui, C.-Q.L., Y.Cai, C-X.W., G.-J.T.), Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Y Cai
- From the Department of Radiology (Y.Cui, C.-Q.L., Y.Cai, C-X.W., G.-J.T.), Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - C-X Wang
- From the Department of Radiology (Y.Cui, C.-Q.L., Y.Cai, C-X.W., G.-J.T.), Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Y Yang
- Neuroimaging Research Branch (Y.Cui, S.-F.L., H.G., Y.-Z.H, X.L., Y.Y.), National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland
| | - G-J Teng
- From the Department of Radiology (Y.Cui, C.-Q.L., Y.Cai, C-X.W., G.-J.T.), Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
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Nelson PT, Trojanowski JQ, Abner EL, Al-Janabi OM, Jicha GA, Schmitt FA, Smith CD, Fardo DW, Wang WX, Kryscio RJ, Neltner JH, Kukull WA, Cykowski MD, Van Eldik LJ, Ighodaro ET. "New Old Pathologies": AD, PART, and Cerebral Age-Related TDP-43 With Sclerosis (CARTS). J Neuropathol Exp Neurol 2016; 75:482-98. [PMID: 27209644 PMCID: PMC6366658 DOI: 10.1093/jnen/nlw033] [Citation(s) in RCA: 90] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Indexed: 12/12/2022] Open
Abstract
The pathology-based classification of Alzheimer's disease (AD) and other neurodegenerative diseases is a work in progress that is important for both clinicians and basic scientists. Analyses of large autopsy series, biomarker studies, and genomics analyses have provided important insights about AD and shed light on previously unrecognized conditions, enabling a deeper understanding of neurodegenerative diseases in general. After demonstrating the importance of correct disease classification for AD and primary age-related tauopathy, we emphasize the public health impact of an underappreciated AD "mimic," which has been termed "hippocampal sclerosis of aging" or "hippocampal sclerosis dementia." This pathology affects >20% of individuals older than 85 years and is strongly associated with cognitive impairment. In this review, we provide an overview of current hypotheses about how genetic risk factors (GRN, TMEM106B, ABCC9, and KCNMB2), and other pathogenetic influences contribute to TDP-43 pathology and hippocampal sclerosis. Because hippocampal sclerosis of aging affects the "oldest-old" with arteriolosclerosis and TDP-43 pathologies that extend well beyond the hippocampus, more appropriate terminology for this disease is required. We recommend "cerebral age-related TDP-43 and sclerosis" (CARTS). A detailed case report is presented, which includes neuroimaging and longitudinal neurocognitive data. Finally, we suggest a neuropathology-based diagnostic rubric for CARTS.
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Affiliation(s)
- Peter T Nelson
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC).
| | - John Q Trojanowski
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Erin L Abner
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Omar M Al-Janabi
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Gregory A Jicha
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Frederick A Schmitt
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Charles D Smith
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - David W Fardo
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Wang-Xia Wang
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Richard J Kryscio
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Janna H Neltner
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Walter A Kukull
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Matthew D Cykowski
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Linda J Van Eldik
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Eseosa T Ighodaro
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
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64
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Moon JH. Endocrine Risk Factors for Cognitive Impairment. Endocrinol Metab (Seoul) 2016; 31:185-92. [PMID: 27118278 PMCID: PMC4923401 DOI: 10.3803/enm.2016.31.2.185] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 01/29/2016] [Accepted: 02/05/2016] [Indexed: 12/28/2022] Open
Abstract
Cognitive impairment, including Alzheimer's disease and other kinds of dementia, is a major health problem in older adults worldwide. Although numerous investigators have attempted to develop effective treatment modalities or drugs, there is no reasonably efficacious strategy for preventing or recovering from cognitive impairment. Therefore, modifiable risk factors for cognitive impairment have received attention, and the growing literature of metabolic risk factors for cognitive impairment has expanded from epidemiology to molecular pathogenesis and therapeutic management. This review focuses on the epidemiological evidence for the association between cognitive impairment and several endocrine risk factors, including insulin resistance, dyslipidemia, thyroid dysfunction, vitamin D deficiency, and subclinical atherosclerosis. Researches suggesting possible mechanisms for this association are reviewed. The research investigating modifiable endocrine risk factors for cognitive impairment provides clues for understanding the pathogenesis of cognitive impairment and developing novel treatment modalities. However, so far, interventional studies investigating the beneficial effect of the "modification" of these "modifiable risk factors" on cognitive impairment have reported variable results. Therefore, well-designed, randomized prospective interventional studies are needed.
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Affiliation(s)
- Jae Hoon Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
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65
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Ribarič S. The Rationale for Insulin Therapy in Alzheimer's Disease. Molecules 2016; 21:molecules21060689. [PMID: 27240327 PMCID: PMC6273626 DOI: 10.3390/molecules21060689] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2016] [Revised: 05/14/2016] [Accepted: 05/19/2016] [Indexed: 12/30/2022] Open
Abstract
Alzheimer's disease (AD) is the most common form of dementia, with a prevalence that increases with age. By 2050, the worldwide number of patients with AD is projected to reach more than 140 million. The prominent signs of AD are progressive memory loss, accompanied by a gradual decline in cognitive function and premature death. AD is the clinical manifestation of altered proteostasis. The initiating step of altered proteostasis in most AD patients is not known. The progression of AD is accelerated by several chronic disorders, among which the contribution of diabetes to AD is well understood at the cell biology level. The pathological mechanisms of AD and diabetes interact and tend to reinforce each other, thus accelerating cognitive impairment. At present, only symptomatic interventions are available for treating AD. To optimise symptomatic treatment, a personalised therapy approach has been suggested. Intranasal insulin administration seems to open the possibility for a safe, and at least in the short term, effective symptomatic intervention that delays loss of cognition in AD patients. This review summarizes the interactions of AD and diabetes from the cell biology to the patient level and the clinical results of intranasal insulin treatment of cognitive decline in AD.
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Affiliation(s)
- Samo Ribarič
- Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Zaloška 4, SI-1000 Ljubljana, Slovenia.
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66
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Guerrero-Berroa E, Ravona-Springer R, Heymann A, Schmeidler J, Hoffman H, Preiss R, Koifmann K, Greenbaum L, Levy A, Silverman JM, Leroith D, Sano M, Schnaider-Beeri M. Ethnicity/culture modulates the relationships of the haptoglobin (Hp) 1-1 phenotype with cognitive function in older individuals with type 2 diabetes. Int J Geriatr Psychiatry 2016; 31:494-501. [PMID: 26388309 PMCID: PMC5753413 DOI: 10.1002/gps.4354] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Revised: 08/06/2015] [Accepted: 08/06/2015] [Indexed: 11/09/2022]
Abstract
OBJECTIVE The haptoglobin (Hp) genotype has been associated with cognitive function in type 2 diabetes. Because ethnicity/culture has been associated with both cognitive function and Hp genotype frequencies, we examined whether it modulates the association of Hp with cognitive function. METHODS This cross-sectional study evaluated 787 cognitively normal older individuals (>65 years of age) with type 2 diabetes participating in the Israel Diabetes and Cognitive Decline study. Interactions in two-way analyses of covariance compared Group (Non-Ashkenazi versus Ashkenazi Jews) on the associations of Hp phenotype (Hp 1-1 versus non- Hp 1-1) with five cognitive outcome measures. The primary control variables were age, gender, and education. RESULTS Compared with Ashkenazi Jews, non-Ashkenazi Jews with the Hp 1-1 phenotype had significantly poorer cognitive function than non-Hp 1-1 in the domains of Attention/Working Memory (p = 0.035) and Executive Function (p = 0.023), but not in Language/Semantic Categorization (p = 0.432), Episodic Memory (p = 0.268), or Overall Cognition (p = 0.082). After controlling for additional covariates (type 2 diabetes-related characteristics, cardiovascular risk factors, Mini-mental State Examination, and extent of depressive symptoms), Attention/Working Memory (p = 0.038) and Executive Function (p = 0.013) remained significant. CONCLUSIONS Older individuals from specific ethnic/cultural backgrounds with the Hp 1-1 phenotype may benefit more from treatment targeted at decreasing or halting the detrimental effects of Hp 1-1 on the brain. Future studies should examine differential associations of Hp 1-1 and cognitive impairment, especially for groups with high prevalence of both, such as African-Americans and Hispanics.
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Affiliation(s)
- Elizabeth Guerrero-Berroa
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,James J. Peters Veterans Affairs Medical Center, Bronx, NY 10468, USA
| | - Ramit Ravona-Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Anthony Heymann
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel,Maccabi Healthcare Services, Tel Aviv, Israel
| | - James Schmeidler
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | | | - Keren Koifmann
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | - Lior Greenbaum
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | - Andrew Levy
- Technion Faculty of Medicine, Technion Israel Institute of Technology, Technion, Haifa, Israel
| | - Jeremy M. Silverman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,James J. Peters Veterans Affairs Medical Center, Bronx, NY 10468, USA
| | - Derek Leroith
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mary Sano
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,James J. Peters Veterans Affairs Medical Center, Bronx, NY 10468, USA
| | - Michal Schnaider-Beeri
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
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67
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Stoeckel LE, Arvanitakis Z, Gandy S, Small D, Kahn CR, Pascual-Leone A, Pawlyk A, Sherwin R, Smith P. Complex mechanisms linking neurocognitive dysfunction to insulin resistance and other metabolic dysfunction. F1000Res 2016; 5:353. [PMID: 27303627 PMCID: PMC4897751 DOI: 10.12688/f1000research.8300.2] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/31/2016] [Indexed: 01/12/2023] Open
Abstract
Scientific evidence has established several links between metabolic and neurocognitive dysfunction, and epidemiologic evidence has revealed an increased risk of Alzheimer’s disease and vascular dementia in patients with diabetes. In July 2015, the National Institute of Diabetes, Digestive, and Kidney Diseases gathered experts from multiple clinical and scientific disciplines, in a workshop entitled “The Intersection of Metabolic and Neurocognitive Dysfunction”, to clarify the state-of-the-science on the mechanisms linking metabolic dysfunction, and insulin resistance and diabetes in particular, to neurocognitive impairment and dementia. This perspective is intended to serve as a summary of the opinions expressed at this meeting, which focused on identifying gaps and opportunities to advance research in this emerging area with important public health relevance.
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Affiliation(s)
- Luke E Stoeckel
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Zoe Arvanitakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Sam Gandy
- Icahn School of Medicine and James J. Peters VAMC, New York, NY, USA
| | - Dana Small
- Yale University School of Medicine, New Haven, CT, USA
| | - C Ronald Kahn
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Alvaro Pascual-Leone
- Berenson-Allen Center for Noninvasive Brain Stimulation and Division for Cognitive Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Aaron Pawlyk
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Philip Smith
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
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68
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Smith CD, Johnson ES, Van Eldik LJ, Jicha GA, Schmitt FA, Nelson PT, Kryscio RJ, Murphy RR, Wellnitz CV. Peripheral (deep) but not periventricular MRI white matter hyperintensities are increased in clinical vascular dementia compared to Alzheimer's disease. Brain Behav 2016; 6:e00438. [PMID: 26925303 PMCID: PMC4754499 DOI: 10.1002/brb3.438] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 12/18/2015] [Accepted: 12/21/2015] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND AND PURPOSE Vascular dementia (VAD) is a complex diagnosis at times difficult to distinguish from Alzheimer's disease (AD). MRI scans often show white matter hyperintensities (WMH) in both conditions. WMH increase with age, and both VAD and AD are associated with aging, thus presenting an attribution conundrum. In this study, we sought to show whether the amount of WMH in deep white matter (dWMH), versus periventricular white matter (PVH), would aid in the distinction between VAD and AD, independent of age. METHODS Blinded semiquantitative ratings of WMH validated by objective quantitation of WMH volume from standardized MRI image acquisitions. PVH and dWMH were rated separately and independently by two different examiners using the Scheltens scale. Receiver operator characteristic (ROC) curves were generated using logistic regression to assess classification of VAD (13 patients) versus AD (129 patients). Clinical diagnoses were made in a specialty memory disorders clinic. RESULTS Using PVH rating alone, overall classification (area under the ROC curve, AUC) was 75%, due only to the difference in age between VAD and AD patients in our study and not PVH. In contrast, dWMH rating produced 86% classification accuracy with no independent contribution from age. A global Longstreth rating that combines dWMH and PVH gave an 88% AUC. CONCLUSIONS Increased dWMH indicate a higher likelihood of VAD versus AD. Assessment of dWMH on MRI scans using Scheltens and Longstreth scales may aid the clinician in distinguishing the two conditions.
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Affiliation(s)
- Charles D Smith
- Department of Neurology University of Kentucky College of Medicine Lexington Kentucky; Magnetic Resonance Imaging and Spectroscopy Center University of Kentucky Lexington Kentucky
| | - Eleanor S Johnson
- Magnetic Resonance Imaging and Spectroscopy Center University of Kentucky Lexington Kentucky
| | - Linda J Van Eldik
- Alzheimers Disease Center Sanders-Brown Center on Aging University of Kentucky Lexington Kentucky; Department of Anatomy and Neurobiology University of Kentucky College of Medicine Lexington Kentucky
| | - Gregory A Jicha
- Department of Neurology University of Kentucky College of Medicine Lexington Kentucky; Alzheimers Disease Center Sanders-Brown Center on Aging University of Kentucky Lexington Kentucky
| | - Frederick A Schmitt
- Department of Neurology University of Kentucky College of Medicine Lexington Kentucky; Alzheimers Disease Center Sanders-Brown Center on Aging University of Kentucky Lexington Kentucky
| | - Peter T Nelson
- Alzheimers Disease Center Sanders-Brown Center on Aging University of Kentucky Lexington Kentucky; Department of Pathology & Laboratory Medicine University of Kentucky College of Medicine Lexington Kentucky
| | - Richard J Kryscio
- Alzheimers Disease Center Sanders-Brown Center on Aging University of Kentucky Lexington Kentucky; Department of Statistics University of Kentucky Lexington Kentucky
| | - Ronan R Murphy
- Department of Neurology University of Kentucky College of Medicine Lexington Kentucky; Alzheimers Disease Center Sanders-Brown Center on Aging University of Kentucky Lexington Kentucky
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69
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Abner EL, Nelson PT, Kryscio RJ, Schmitt FA, Fardo DW, Woltjer RL, Cairns NJ, Yu L, Dodge HH, Xiong C, Masaki K, Tyas SL, Bennett DA, Schneider JA, Arvanitakis Z. Diabetes is associated with cerebrovascular but not Alzheimer's disease neuropathology. Alzheimers Dement 2016; 12:882-9. [PMID: 26812281 DOI: 10.1016/j.jalz.2015.12.006] [Citation(s) in RCA: 159] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Revised: 11/20/2015] [Accepted: 12/07/2015] [Indexed: 01/21/2023]
Abstract
INTRODUCTION The relationship of diabetes to specific neuropathologic causes of dementia is incompletely understood. METHODS We used logistic regression to evaluate the association between diabetes and infarcts, Braak neurofibrillary tangle stage, and neuritic plaque score in 2365 autopsied persons. In a subset of >1300 persons with available cognitive data, we examined the association between diabetes and cognition using Poisson regression. RESULTS Diabetes increased odds of brain infarcts (odds ratio [OR] = 1.57, P < .0001), specifically lacunes (OR = 1.71, P < .0001), but not Alzheimer's disease neuropathology. Diabetes plus infarcts was associated with lower cognitive scores at end of life than infarcts or diabetes alone, and diabetes plus high level of Alzheimer's neuropathologic changes was associated with lower mini-mental state examination scores than the pathology alone. DISCUSSION This study supports the conclusions that diabetes increases the risk of cerebrovascular but not Alzheimer's disease pathology, and at least some of diabetes' relationship to cognitive impairment may be modified by neuropathology.
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Affiliation(s)
- Erin L Abner
- Sanders-Brown Center on Aging and Alzheimer's Disease Center, University of Kentucky, Lexington, KY, USA; College of Public Health, Department of Epidemiology, University of Kentucky, Lexington, KY, USA; College of Public Health, Department of Biostatistics, University of Kentucky, Lexington, KY, USA.
| | - Peter T Nelson
- Sanders-Brown Center on Aging and Alzheimer's Disease Center, University of Kentucky, Lexington, KY, USA; College of Medicine, Department of Pathology, University of Kentucky, Lexington, KY, USA
| | - Richard J Kryscio
- Sanders-Brown Center on Aging and Alzheimer's Disease Center, University of Kentucky, Lexington, KY, USA; College of Public Health, Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging and Alzheimer's Disease Center, University of Kentucky, Lexington, KY, USA; College of Medicine, Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - David W Fardo
- Sanders-Brown Center on Aging and Alzheimer's Disease Center, University of Kentucky, Lexington, KY, USA; College of Public Health, Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Randall L Woltjer
- Layton Aging and Alzheimer's Disease Center, Oregon Health & Science University, Portland, OR, USA; School of Medicine, Department of Pathology, Oregon Health & Science University, Portland, OR, USA
| | - Nigel J Cairns
- Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, USA; School of Medicine, Department of Neurology, Washington University, St. Louis, MO, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Rush University Medical Center, Department of Neurological Sciences, Chicago, IL, USA
| | - Hiroko H Dodge
- Layton Aging and Alzheimer's Disease Center, Oregon Health & Science University, Portland, OR, USA; School of Medicine, Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Chengjie Xiong
- Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, USA; School of Medicine, Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - Kamal Masaki
- Kuakini Medical Center and John A. Burns School of Medicine, Department of Geriatric Medicine, University of Hawaii, Honolulu, HI, USA
| | - Suzanne L Tyas
- School of Public Health and Health Systems, Department of Psychology, University of Waterloo, Waterloo, ON, Canada
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Rush University Medical Center, Department of Neurological Sciences, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Rush University Medical Center, Department of Pathology, Chicago, IL, USA
| | - Zoe Arvanitakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Rush University Medical Center, Department of Neurological Sciences, Chicago, IL, USA
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Abstract
Clinical studies suggest a link between type 2 diabetes mellitus (T2DM) and insulin resistance (IR) and cognitive dysfunction, but there are significant gaps in our knowledge of the mechanisms underlying this relationship. Animal models of IR help to bridge these gaps and point to hippocampal IR as a potential mediator of cognitive dysfunction in T2DM, as well as in Alzheimer disease (AD). This Review highlights these observations and discusses intervention studies which suggest that the restoration of insulin activity in the hippocampus may be an effective strategy to alleviate the cognitive decline associated with T2DM and AD.
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71
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Moran C, Beare R, Phan TG, Bruce DG, Callisaya ML, Srikanth V. Type 2 diabetes mellitus and biomarkers of neurodegeneration. Neurology 2015; 85:1123-30. [PMID: 26333802 DOI: 10.1212/wnl.0000000000001982] [Citation(s) in RCA: 189] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Accepted: 06/03/2015] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Our objective was to investigate whether type 2 diabetes mellitus (T2DM) influences neurodegeneration in a manner similar to Alzheimer disease (AD), by promoting brain β-amyloid (Aβ) or tau. METHODS We studied the cross-sectional associations of T2DM with cortical thickness, brain Aβ load, and CSF levels of Aβ and tau in a sample of people from the Alzheimer's Disease Neuroimaging Initiative with diagnoses of AD dementia, mild cognitive impairment, and normal cognition. All (n=816) received MRI, and a subsample underwent brain amyloid imaging (n=102) and CSF Aβ and tau measurements (n=415). Analyses were performed across and within cognitive diagnostic strata. RESULTS There were 124 people with T2DM (mean age 75.5 years) and 692 without T2DM (mean age 74.1 years). After adjusting for age, sex, total intracranial volume, APO ε4 status, and cognitive diagnosis, T2DM was associated with lower bilateral frontal and parietal cortical thickness (mL) (β=-0.03, p=0.01). T2DM was not associated with 11C Pittsburgh compound B standardized uptake value ratio (AU) in any brain region or with CSF Aβ42 levels (pg/mL). T2DM was associated with greater CSF total tau (pg/mL) (β=16.06, p=0.04) and phosphorylated tau (β=5.84, p=0.02). The association between T2DM and cortical thickness was attenuated by 15% by the inclusion of phosphorylated tau. CONCLUSIONS T2DM may promote neurodegeneration independent of AD dementia diagnosis, and its effect may be driven by tau phosphorylation. The mechanisms through which T2DM may promote tau phosphorylation deserve further study.
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Affiliation(s)
- Chris Moran
- From the Stroke and Ageing Research Group (C.M., T.G.P., V.S.), Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne; Neurosciences (C.M., T.G.P., V.S.), Monash Medical Centre, Monash Health, Melbourne; Caulfield General Medical Centre (C.M.), Alfred Health, Melbourne; Developmental Imaging (R.B.), Murdoch Children's Research Institute, Melbourne; School of Medicine and Pharmacology (D.G.B.), Fremantle Hospital, University of Western Australia; and Menzies Research Institute Tasmania (M.L.C., V.S.), University of Tasmania, Hobart, Australia
| | - Richard Beare
- From the Stroke and Ageing Research Group (C.M., T.G.P., V.S.), Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne; Neurosciences (C.M., T.G.P., V.S.), Monash Medical Centre, Monash Health, Melbourne; Caulfield General Medical Centre (C.M.), Alfred Health, Melbourne; Developmental Imaging (R.B.), Murdoch Children's Research Institute, Melbourne; School of Medicine and Pharmacology (D.G.B.), Fremantle Hospital, University of Western Australia; and Menzies Research Institute Tasmania (M.L.C., V.S.), University of Tasmania, Hobart, Australia
| | - Thanh G Phan
- From the Stroke and Ageing Research Group (C.M., T.G.P., V.S.), Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne; Neurosciences (C.M., T.G.P., V.S.), Monash Medical Centre, Monash Health, Melbourne; Caulfield General Medical Centre (C.M.), Alfred Health, Melbourne; Developmental Imaging (R.B.), Murdoch Children's Research Institute, Melbourne; School of Medicine and Pharmacology (D.G.B.), Fremantle Hospital, University of Western Australia; and Menzies Research Institute Tasmania (M.L.C., V.S.), University of Tasmania, Hobart, Australia
| | - David G Bruce
- From the Stroke and Ageing Research Group (C.M., T.G.P., V.S.), Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne; Neurosciences (C.M., T.G.P., V.S.), Monash Medical Centre, Monash Health, Melbourne; Caulfield General Medical Centre (C.M.), Alfred Health, Melbourne; Developmental Imaging (R.B.), Murdoch Children's Research Institute, Melbourne; School of Medicine and Pharmacology (D.G.B.), Fremantle Hospital, University of Western Australia; and Menzies Research Institute Tasmania (M.L.C., V.S.), University of Tasmania, Hobart, Australia
| | - Michele L Callisaya
- From the Stroke and Ageing Research Group (C.M., T.G.P., V.S.), Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne; Neurosciences (C.M., T.G.P., V.S.), Monash Medical Centre, Monash Health, Melbourne; Caulfield General Medical Centre (C.M.), Alfred Health, Melbourne; Developmental Imaging (R.B.), Murdoch Children's Research Institute, Melbourne; School of Medicine and Pharmacology (D.G.B.), Fremantle Hospital, University of Western Australia; and Menzies Research Institute Tasmania (M.L.C., V.S.), University of Tasmania, Hobart, Australia
| | - Velandai Srikanth
- From the Stroke and Ageing Research Group (C.M., T.G.P., V.S.), Vascular Brain Ageing Division, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne; Neurosciences (C.M., T.G.P., V.S.), Monash Medical Centre, Monash Health, Melbourne; Caulfield General Medical Centre (C.M.), Alfred Health, Melbourne; Developmental Imaging (R.B.), Murdoch Children's Research Institute, Melbourne; School of Medicine and Pharmacology (D.G.B.), Fremantle Hospital, University of Western Australia; and Menzies Research Institute Tasmania (M.L.C., V.S.), University of Tasmania, Hobart, Australia.
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Hippocampal Sclerosis of Aging Can Be Segmental: Two Cases and Review of the Literature. J Neuropathol Exp Neurol 2015; 74:642-52. [PMID: 26083567 DOI: 10.1097/nen.0000000000000204] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Hippocampal sclerosis of aging (HS-Aging) is a neurodegenerative disease that mimics Alzheimer disease (AD) clinically and has a prevalence rivaling AD in advanced age. Whereas clinical biomarkers are not yet optimized, HS-Aging has distinctive pathological features that distinguish it from other diseases with "hippocampal sclerosis" pathology, such as epilepsy, cerebrovascular perturbations, and frontotemporal lobar degeneration. By definition, HS-Aging brains show neuronal cell loss and gliosis in the hippocampal formation out of proportion to AD-type pathology; it is strongly associated with aberrant TDP-43 pathology and arteriolosclerosis. Here, we describe 2 cases of "segmental" HS-Aging in which "sclerosis" in the hippocampus was evident only in a subset of brain sections by hematoxylin and eosin (H&E) stain. In these cases, TDP-43 pathology was more widespread on immunostained sections than the neuronal cell loss and gliosis seen in H&E stains. The 2 patients were cognitively intact at baseline and were tracked longitudinally over a decade using cognitive studies with at least 1 neuroimaging scan. We discuss the relevant HS-Aging literature, which indicates the need for a clearer consensus-based delineation of "hippocampal sclerosis" and TDP-43 pathologies in aged subjects.
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Affiliation(s)
- Geert Jan Biessels
- Department of Neurology, G03.232, University Medical Center, PO Box 85500, 3508 GA Utrecht, Netherlands
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74
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Abstract
Several studies have indicated that Diabetes Mellitus (DM) can increase the risk
of developing Alzheimer's disease (AD). This review briefly describes current
concepts in mechanisms linking DM and insulin resistance/deficiency to AD.
Insulin/insulin-like growth factor (IGF) resistance can contribute to
neurodegeneration by several mechanisms which involve: energy and metabolism
deficits, impairment of Glucose transporter-4 function, oxidative and
endoplasmic reticulum stress, mitochondrial dysfunction, accumulation of AGEs,
ROS and RNS with increased production of neuro-inflammation and activation of
pro-apoptosis cascade. Impairment in insulin receptor function and increased
expression and activation of insulin-degrading enzyme (IDE) have also been
described. These processes compromise neuronal and glial function, with a
reduction in neurotransmitter homeostasis. Insulin/IGF resistance causes the
accumulation of AβPP-Aβ oligomeric fibrils or insoluble larger
aggregated fibrils in the form of plaques that are neurotoxic. Additionally,
there is production and accumulation of hyper-phosphorylated insoluble fibrillar
tau which can exacerbate cytoskeletal collapse and synaptic disconnection.
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Affiliation(s)
- Maria Niures P S Matioli
- Pós-graduanda, nível de Doutorado, Departamento de Neurologia da Faculdade de Medicina da Universidade de São Paulo
| | - Ricardo Nitrini
- Professor Titular da Disciplina de Neurologia da Faculdade de Medicina da Universidade de São Paulo. Orientador e Professor Responsável pela Pós-graduação do Departamento de Neurologia da Faculdade de Medicina da Universidade de São Paulo
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Guerrero-Berroa E, Ravona-Springer R, Heymann A, Schmeidler J, Levy A, Leroith D, Beeri MS. Haptoglobin genotype modulates the relationships of glycaemic control with cognitive function in elderly individuals with type 2 diabetes. Diabetologia 2015; 58:736-44. [PMID: 25628235 PMCID: PMC4352385 DOI: 10.1007/s00125-014-3487-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Accepted: 12/08/2014] [Indexed: 10/24/2022]
Abstract
AIMS/HYPOTHESIS The purpose of this study was to investigate whether the association of glycaemic control with cognitive function is modulated by the haptoglobin 1-1 (Hp 1-1) genotype in cognitively normal elderly individuals with type 2 diabetes. METHODS In this cross-sectional study, we examined 793 participants who were genotyped for Hp (80 Hp 1-1 carriers and 713 Hp 1-1 non-carriers) enrolled in the Israel Diabetes and Cognitive Decline (IDCD) study. Glycaemic control was operationally defined by HbA1c level. The outcome measures were performance in four cognitive domains (episodic memory, attention/working memory, language/semantic categorisation, executive function) and overall cognition, a composite of the domains. Effect sizes were obtained from hierarchical linear regression analyses for each outcome measure, controlling for demographics, type 2 diabetes-related characteristics, cardiovascular risk factors, and their interactions with Hp genotype. RESULTS Interaction analyses showed significantly stronger associations of HbA1c with poorer cognitive function among Hp 1-1 carriers than non-carriers; attention/working memory (p < 0.001) and overall cognition (p = 0.003). For these two cognitive domains, associations were significant for Hp 1-1 carriers despite the small sample size (p < 0.00001 and p = 0.001, respectively), but not for non-carriers. CONCLUSIONS/INTERPRETATION Our findings suggest that patients with type 2 diabetes and poor glycaemic control carrying the Hp 1-1 genotype may be at increased risk of cognitive impairment, particularly in the attention/working memory domain. The association of glycaemic control with this domain may indicate cerebrovascular mechanisms.
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Koekkoek PS, Kappelle LJ, van den Berg E, Rutten GEHM, Biessels GJ. Cognitive function in patients with diabetes mellitus: guidance for daily care. Lancet Neurol 2015; 14:329-40. [PMID: 25728442 DOI: 10.1016/s1474-4422(14)70249-2] [Citation(s) in RCA: 226] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Diabetes mellitus is associated with an increase in the risk of dementia and the proportion of patients who convert from mild cognitive impairment (MCI) to dementia. In addition to MCI and dementia, the stages of diabetes-associated cognitive dysfunction include subtle cognitive changes that are unlikely to affect activities of daily life or diabetes self-management. These diabetes-associated cognitive decrements have structural brain correlates detectable with brain MRI, but usually show little progression over time. Although cognitive decrements do not generally represent a pre-dementia stage in patients below the age of 60-65 years, in older individuals these subtle cognitive changes might represent the earliest stages of a dementia process. Acknowledgment of diabetes-associated cognitive decrements can help to improve understanding of patients' symptoms and guide management. Future challenges are to establish the importance of screening for cognitive impairment in people with diabetes, to identify those at increased risk of accelerated cognitive decline at an early stage, and to develop effective treatments.
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Affiliation(s)
- Paula S Koekkoek
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Netherlands
| | - L Jaap Kappelle
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Netherlands.
| | - Esther van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, Netherlands
| | - Guy E H M Rutten
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Netherlands
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Netherlands
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Cummings JL, Isaacson RS, Schmitt FA, Velting DM. A practical algorithm for managing Alzheimer's disease: what, when, and why? Ann Clin Transl Neurol 2015; 2:307-23. [PMID: 25815358 PMCID: PMC4369281 DOI: 10.1002/acn3.166] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Revised: 11/21/2014] [Accepted: 12/04/2014] [Indexed: 12/02/2022] Open
Abstract
Alzheimer's disease (AD) is the most common form of dementia and its prevalence is increasing. Recent developments in AD management provide improved ways of supporting patients and their caregivers throughout the disease continuum. Managing cardiovascular risk factors, maintaining an active lifestyle (with regular physical, mental and social activity) and following a Mediterranean diet appear to reduce AD risk and may slow cognitive decline. Pharmacologic therapy for AD should be initiated upon diagnosis. All of the currently available cholinesterase inhibitors (ChEIs; donepezil, galantamine, and rivastigmine) are indicated for mild-to-moderate AD. Donepezil (10 and 23 mg/day) and rivastigmine transdermal patch (13.3 mg/24 h) are indicated for moderate-to-severe AD. Memantine, an N-methyl-d-aspartate receptor antagonist, is approved for moderate-to-severe AD. ChEIs have been shown to improve cognitive function, global clinical status and patients' ability to perform activities of daily living. There is also evidence for reduction in emergence of behavioral symptoms with ChEI therapy. Treatment choice (e.g., oral vs. transdermal) should be based on patient or caregiver preference, ease of use, tolerability, and cost. Treatment should be individualized; patients can be switched from one ChEI to another if the initial agent is poorly tolerated or ineffective. Memantine may be introduced in moderate-to-severe disease stages. Clinicians will regularly monitor symptoms and behaviors, manage comorbidities, assess function, educate and help caregivers access information and support, evaluate patients' fitness to drive or own firearms, and provide advice about the need for legal and financial planning. Review of caregiver well-being and prompt referral for support is vital.
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Affiliation(s)
- Jeffrey L Cummings
- Cleveland Clinic Lou Ruvo Center for Brain Health Las Vegas, Nevada and Cleveland, Ohio
| | | | - Frederick A Schmitt
- Sanders-Brown Center on Aging, University of Kentucky Medical Center Lexington, Kentucky
| | - Drew M Velting
- Novartis Pharmaceuticals Corporation East Hanover, New Jersey
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The neuroprotective role of metformin in advanced glycation end product treated human neural stem cells is AMPK-dependent. Biochim Biophys Acta Mol Basis Dis 2015; 1852:720-31. [PMID: 25595658 DOI: 10.1016/j.bbadis.2015.01.006] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Revised: 01/05/2015] [Accepted: 01/08/2015] [Indexed: 12/17/2022]
Abstract
Diabetic neuronal damage results from hyperglycemia followed by increased formation of advanced glycosylation end products (AGEs), which leads to neurodegeneration, although the molecular mechanisms are still not well understood. Metformin, one of the most widely used anti-diabetic drugs, exerts its effects in part by activation of AMP-activated protein kinase (AMPK). AMPK is a critical evolutionarily conserved enzyme expressed in the liver, skeletal muscle and brain, and promotes cellular energy homeostasis and biogenesis by regulating several metabolic processes. While the mechanisms of AMPK as a metabolic regulator are well established, the neuronal role for AMPK is still unknown. In the present study, human neural stem cells (hNSCs) exposed to AGEs had significantly reduced cell viability, which correlated with decreased AMPK and mitochondria associated gene/protein (PGC1α, NRF-1 and Tfam) expressions, as well as increased activation of caspase 3 and 9 activities. Metformin prevented AGEs induced cytochrome c release from mitochondria into cytosol in the hNSCs. Co-treatment with metformin significantly abrogated the AGE-mediated effects in hNSCs. Metformin also significantly rescued hNSCs from AGE-mediated mitochondrial deficiency (lower ATP, D-loop level, mitochondrial mass, maximal respiratory function, COX activity, and mitochondrial membrane potential). Furthermore, co-treatment of hNSCs with metformin significantly blocked AGE-mediated reductions in the expression levels of several neuroprotective genes (PPARγ, Bcl-2 and CREB). These findings extend our understanding of the molecular mechanisms of both AGE-induced neuronal toxicity, and AMPK-dependent neuroprotection by metformin. This study further suggests that AMPK may be a potential therapeutic target for treating diabetic neurodegeneration.
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Guerrero-Berroa E, Schmeidler J, Beeri MS. Neuropathology of type 2 diabetes: a short review on insulin-related mechanisms. Eur Neuropsychopharmacol 2014; 24:1961-6. [PMID: 24529419 PMCID: PMC4116474 DOI: 10.1016/j.euroneuro.2014.01.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2013] [Accepted: 01/23/2014] [Indexed: 12/20/2022]
Abstract
Postmortem studies have shown that cerebrovascular disease (CVD) neuropathology occurs frequently in type 2 diabetes (T2D) through mechanisms associated with chronic hyperglycemia such as advanced glycation end-products (AGEs). The involvement of T2D in Alzheimer׳s disease (AD)-type neuropathology has been more controversial. While postmortem data from animal studies have supported the involvement of T2D in AD-type neuropathology through insulin mechanism that may affect the development of neuritic plaques and neurofibrillary tangles (NFTs), findings from postmortem studies in humans, of the association of T2D with AD, have been mainly negative. To complicate matters, medications to treat T2D have been implicated in reduced AD-type neuropathology. In this review we summarize the literature on animal and human postmortem studies of T2D neuropathology, mainly the mechanisms involved in hyperglycemia-related CVD neuropathology and hyperinsulinemia-related AD-type neuropathology.
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Affiliation(s)
| | - James Schmeidler
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michal Schnaider Beeri
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
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Srodulski S, Sharma S, Bachstetter AB, Brelsfoard JM, Pascual C, Xie XS, Saatman KE, Van Eldik LJ, Despa F. Neuroinflammation and neurologic deficits in diabetes linked to brain accumulation of amylin. Mol Neurodegener 2014. [PMID: 25149184 DOI: 10.1186/1750-1326-9-30 doi: 10.1186/1750-1326-9-30] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND We recently found that brain tissue from patients with type-2 diabetes (T2D) and cognitive impairment contains deposits of amylin, an amyloidogenic hormone synthesized and co-secreted with insulin by pancreatic β-cells. Amylin deposition is promoted by chronic hypersecretion of amylin (hyperamylinemia), which is common in humans with obesity or pre-diabetic insulin resistance. Human amylin oligomerizes quickly when oversecreted, which is toxic, induces inflammation in pancreatic islets and contributes to the development of T2D. Here, we tested the hypothesis that accumulation of oligomerized amylin affects brain function. METHODS In contrast to amylin from humans, rodent amylin is neither amyloidogenic nor cytotoxic. We exploited this fact by comparing rats overexpressing human amylin in the pancreas (HIP rats) with their littermate rats which express only wild-type (WT) non-amyloidogenic rodent amylin. Cage activity, rotarod and novel object recognition tests were performed on animals nine months of age or older. Amylin deposition in the brain was documented by immunohistochemistry, and western blot. We also measured neuroinflammation by immunohistochemistry, quantitative real-time PCR and cytokine protein levels. RESULTS Compared to WT rats, HIP rats show i) reduced exploratory drive, ii) impaired recognition memory and iii) no ability to improve the performance on the rotarod. The development of neurological deficits is associated with amylin accumulation in the brain. The level of oligomerized amylin in supernatant fractions and pellets from brain homogenates is almost double in HIP rats compared with WT littermates (P < 0.05). Large amylin deposits (>50 μm diameter) were also occasionally seen in HIP rat brains. Accumulation of oligomerized amylin alters the brain structure at the molecular level. Immunohistochemistry analysis with an ED1 antibody indicates possible activated microglia/macrophages which are clustering in areas positive for amylin infiltration. Multiple inflammatory markers are expressed in HIP rat brains as opposed to WT rats, confirming that amylin deposition in the brain induces a neuroinflammatory response. CONCLUSIONS Hyperamylinemia promotes accumulation of oligomerized amylin in the brain leading to neurological deficits through an oligomerized amylin-mediated inflammatory response. Additional studies are needed to determine whether brain amylin accumulation may predispose to diabetic brain injury and cognitive decline.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Florin Despa
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA.
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Srodulski S, Sharma S, Bachstetter AB, Brelsfoard JM, Pascual C, Xie XS, Saatman KE, Van Eldik LJ, Despa F. Neuroinflammation and neurologic deficits in diabetes linked to brain accumulation of amylin. Mol Neurodegener 2014; 9:30. [PMID: 25149184 PMCID: PMC4144699 DOI: 10.1186/1750-1326-9-30] [Citation(s) in RCA: 101] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Accepted: 08/18/2014] [Indexed: 12/23/2022] Open
Abstract
Background We recently found that brain tissue from patients with type-2 diabetes (T2D) and cognitive impairment contains deposits of amylin, an amyloidogenic hormone synthesized and co-secreted with insulin by pancreatic β-cells. Amylin deposition is promoted by chronic hypersecretion of amylin (hyperamylinemia), which is common in humans with obesity or pre-diabetic insulin resistance. Human amylin oligomerizes quickly when oversecreted, which is toxic, induces inflammation in pancreatic islets and contributes to the development of T2D. Here, we tested the hypothesis that accumulation of oligomerized amylin affects brain function. Methods In contrast to amylin from humans, rodent amylin is neither amyloidogenic nor cytotoxic. We exploited this fact by comparing rats overexpressing human amylin in the pancreas (HIP rats) with their littermate rats which express only wild-type (WT) non-amyloidogenic rodent amylin. Cage activity, rotarod and novel object recognition tests were performed on animals nine months of age or older. Amylin deposition in the brain was documented by immunohistochemistry, and western blot. We also measured neuroinflammation by immunohistochemistry, quantitative real-time PCR and cytokine protein levels. Results Compared to WT rats, HIP rats show i) reduced exploratory drive, ii) impaired recognition memory and iii) no ability to improve the performance on the rotarod. The development of neurological deficits is associated with amylin accumulation in the brain. The level of oligomerized amylin in supernatant fractions and pellets from brain homogenates is almost double in HIP rats compared with WT littermates (P < 0.05). Large amylin deposits (>50 μm diameter) were also occasionally seen in HIP rat brains. Accumulation of oligomerized amylin alters the brain structure at the molecular level. Immunohistochemistry analysis with an ED1 antibody indicates possible activated microglia/macrophages which are clustering in areas positive for amylin infiltration. Multiple inflammatory markers are expressed in HIP rat brains as opposed to WT rats, confirming that amylin deposition in the brain induces a neuroinflammatory response. Conclusions Hyperamylinemia promotes accumulation of oligomerized amylin in the brain leading to neurological deficits through an oligomerized amylin-mediated inflammatory response. Additional studies are needed to determine whether brain amylin accumulation may predispose to diabetic brain injury and cognitive decline.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Florin Despa
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, USA.
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Biessels GJ, Reijmer YD. Brain changes underlying cognitive dysfunction in diabetes: what can we learn from MRI? Diabetes 2014; 63:2244-52. [PMID: 24931032 DOI: 10.2337/db14-0348] [Citation(s) in RCA: 208] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Diabetes is associated with cognitive dysfunction and an increased risk of dementia. This article addresses findings with brain MRI that may underlie cognitive dysfunction in diabetes. Studies in adults with type 1 diabetes show regional reductions in brain volume. In those with a diabetes onset in childhood, these volume reductions are likely to reflect the sum of changes that occur during brain development and changes that occur later in life due to exposure to diabetes-related factors. Type 2 diabetes is associated with global brain atrophy and an increased burden of small-vessel disease. These brain changes occur in the context of aging and often also in relation to an adverse vascular risk factor profile. Advanced imaging techniques detect microstructural lesions in the cerebral gray and white matter of patients with diabetes that affect structural and functional connectivity. Challenges are to further unravel the etiology of these cerebral complications by integrating findings from different imaging modalities and detailed clinical phenotyping and by linking structural MRI abnormalities to histology. A better understanding of the underlying mechanisms is necessary to establish interventions that will improve long-term cognitive outcomes for patients with type 1 and type 2 diabetes.
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Affiliation(s)
- Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center, Utrecht, the Netherlands
| | - Yael D Reijmer
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center, Utrecht, the NetherlandsJ. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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83
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Mansur RB, Cha DS, Woldeyohannes HO, Soczynska JK, Zugman A, Brietzke E, McIntyre RS. Diabetes mellitus and disturbances in brain connectivity: a bidirectional relationship? Neuromolecular Med 2014; 16:658-68. [PMID: 24974228 DOI: 10.1007/s12017-014-8316-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Accepted: 06/19/2014] [Indexed: 12/26/2022]
Abstract
Diabetes mellitus (DM) is associated with deficits across multiple cognitive domains. The observed impairments in cognitive function are hypothesized to be subserved by alterations in brain structure and function. Several lines of evidence indicate that alterations in glial integrity and function, as well as abnormal synchrony within brain circuits and associated networks, are observed in adults with DM. Microangiopathy and alterations in insulin homeostasis appear to be principal effector systems, although a unitary explanation subsuming the complex etiopathology of white matter in DM is unavailable. A contemporary model of disease pathophysiology for several mental disorders, including but not limited to mood disorders, posits abnormalities in the synchronization of cellular systems in circuits. The observation that similar abnormalities occur in diabetic populations provides the basis for hypothesizing the convergence of pathoetiological factors. Herein, we propose that abnormal structure, function and chemical composition as well as synchrony within and between circuits is an accompaniment of DM and is shared in common with several mental disorders.
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Affiliation(s)
- Rodrigo B Mansur
- Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, 399 Bathurst Street, MP 9-325, Toronto, ON, M5T 2S8, Canada,
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84
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Brassard P, Pelletier C, Martin M, Gagné N, Poirier P, Ainslie PN, Caouette M, Bussières JS. Influence of Norepinephrine and Phenylephrine on Frontal Lobe Oxygenation During Cardiopulmonary Bypass in Patients with Diabetes. J Cardiothorac Vasc Anesth 2014; 28:608-17. [DOI: 10.1053/j.jvca.2013.09.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2013] [Indexed: 11/11/2022]
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85
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Malek-Ahmadi M, Beach T, Obradov A, Sue L, Belden C, Davis K, Walker DG, Lue L, Adem A, Sabbagh MN. Increased Alzheimer's disease neuropathology is associated with type 2 diabetes and ApoE ε.4 carrier status. Curr Alzheimer Res 2014; 10:654-9. [PMID: 23627755 DOI: 10.2174/15672050113109990006] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2013] [Revised: 04/24/2013] [Accepted: 02/13/2013] [Indexed: 11/22/2022]
Abstract
BACKGROUND Past studies investigating the association between Alzheimer's disease (AD) pathology and diabetes mellitus type 2 (DM2) have provided conflicting results. While several studies indicate that subjects with comorbid AD and DM2 have less AD pathology, others have found no significant differences in AD pathology between the two groups. Other studies have indicated that individuals with AD and DM2 have significantly greater neuropathology than AD individuals who do not have DM2. Additional research has demonstrated that ApoE ε4 carriers with AD and DM2 have significantly greater pathology than ApoE ε4 non-carriers. METHODS Data on clinically and pathologically diagnosed Alzheimer's disease cases (NINDS-ADRDA clinically and NIA Reagan intermediate or high pathologically) with DM2 (n= 40) and those without DM2 (n= 322) from the Banner Sun Health Research Institute Brain and Body Donation Program were obtained for this study. Plaque and tangle scores from the frontal, parietal, temporal, entorhinal and hippocampal regions were compared between the DM2+ and DM2 - groups. In addition, total plaque count, total tangle count, and Braak scores were also compared between groups. Similar analyses were conducted to determine the effect of ApoE ε4 carrier status on the neuropathological variables while also accounting for and DM2 status. RESULTS The DM2+ and DM2 - groups showed no significant differences on plaque and tangle pathology. Logistic regression analyses, which accounted for the effects of ApoE .ε4 carrier status and age at death, found no association between total plaque [OR 1.05 (0.87, 1.27), p = 0.60] or total tangle [OR 0.97 (0.89, 1.07) p = 0.58] counts and DM2 status. ApoE ε4 carrier status was not significantly associated with DM2 status [.Χ2 = 0.30 (df = 1), p = 0.58]. Within the DM2+ group, significantly greater plaque and tangle pathology was found for ApoE ε4 carriers in relation to DM2+ ApoE ε4 non-carriers. CONCLUSION Overall, the presence of DM2 does not affect plaque and tangle burden in a sample of clinically and pathologically confirmed AD cases. Among AD individuals with DM2, those who are ApoE ε4 carriers had significantly greater neuropathology than those who do not carry an ApoE ε4 allele. Positive DM2 status appears to exacerbate AD neuropathology in the presence of ApoE ε4.
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Affiliation(s)
- Michael Malek-Ahmadi
- The Cleo Robert Center for Clinical Research, Banner Sun Health Research Institute, Sun City, AZ 85351, USA
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86
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Despa F, Decarli C. Amylin: what might be its role in Alzheimer's disease and how could this affect therapy? Expert Rev Proteomics 2014; 10:403-5. [PMID: 24117198 DOI: 10.1586/14789450.2013.841549] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Florin Despa
- Department of Molecular and Biomedical Pharmacology, University of Kentucky, 900 S Limestone, Lexington, KY 40536, USA
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87
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Abstract
Type 2 diabetes mellitus (T2D) and Alzheimer disease (AD) are major public health burdens associated with aging. As the age of the population rapidly increases, a sheer increase in the incidence of these diseases is expected. Research has identified T2D as a risk factor for cognitive impairment and potentially AD, but the neurobiological pathways that are affected are only beginning to be understood. The rapid advances in neuroimaging in the past decade have added significant understanding to how T2D affects brain structure and function and possibly lead to AD. This article provides a review of studies that have utilized structural and functional neuroimaging to identify neural pathways that link T2D to impaired cognitive performance and potentially AD. A primary focus of this article is the potential for neuroimaging to assist in understanding the mechanistic pathways that may provide translational opportunities for clinical intervention.
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Affiliation(s)
- John P. Ryan
- University of Pittsburgh, Department of Psychiatry
- Address correspondence to: John Ryan, Department of Psychiatry, 3811 O’Hara St., Pittsburgh, PA 15213., , Phone: 412-246-5692, Fax: 412-586-9111
| | - David F. Fine
- Geriatric Psychiatry Neuroimaging Lab, University of Pittsburgh
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88
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Abstract
Epidemics of obesity, diabetes, nonalcoholic fatty liver disease, and cognitive impairment/Alzheimer disease have emerged over the past 3 to 4 decades. These diseases share in common target-organ insulin resistance with a constellation of molecular and biochemical abnormalities that lead to organ/tissue degeneration over time. This article discusses the fundamental links among these diseases and how peripheral organ insulin resistance diseases contribute to cognitive impairment and neurodegeneration. A future role of endocrinologists and diabetologists could be to provide integrative diagnostic and treatment approaches for this collection of diseases that seem to share pathophysiological and pathogenetic bases.
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Affiliation(s)
- Suzanne M de la Monte
- Department of Pathology (Neuropathology), Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA; Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA; Department of Medicine, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA.
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89
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Biessels GJ, Strachan MWJ, Visseren FLJ, Kappelle LJ, Whitmer RA. Dementia and cognitive decline in type 2 diabetes and prediabetic stages: towards targeted interventions. Lancet Diabetes Endocrinol 2014; 2:246-55. [PMID: 24622755 DOI: 10.1016/s2213-8587(13)70088-3] [Citation(s) in RCA: 382] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Type 2 diabetes is associated with dementia, and also with more slight cognitive decrements. In this Review we discuss trajectories from normal cognition to dementia in people with type 2 diabetes, and explore opportunities for treatment. Slight diabetes-associated cognitive decrements and dementia affect different age groups and show a different evolution. These cognitive entities should therefore not be regarded as a continuum, although their effects might be additive. Vascular damage is a key underlying process in both entities. Glucose-mediated processes and other metabolic disturbances might also have a role. No treatment has been established, but management of vascular risk factors and optimisation of glycaemic control could have therapeutic benefit. We identify possible opportunities for intervention to improve cognitive outcomes in people with type 2 diabetes, and suggest how treatment can be tailored to individual risk profiles and comorbidities.
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Affiliation(s)
- Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands.
| | | | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, Netherlands
| | - L Jaap Kappelle
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
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90
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Kovacic JC, Castellano JM, Farkouh ME, Fuster V. The relationships between cardiovascular disease and diabetes: focus on pathogenesis. Endocrinol Metab Clin North Am 2014; 43:41-57. [PMID: 24582091 DOI: 10.1016/j.ecl.2013.09.007] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
There is a looming global epidemic of obesity and diabetes. Of all the end-organ effects caused by diabetes, the cardiovascular system is particularly susceptible to the biologic perturbations caused by this disease, and many patients may die from diabetes-related cardiovascular complications. Substantial progress has been made in understanding the pathobiology of the diabetic vasculature and heart. Clinical studies have illuminated the optimal way to treat patients with cardiovascular manifestations of this disease. This article reviews these aspects of diabetes and the cardiovascular system, broadly classified into diabetic vascular disease, diabetic cardiomyopathy, and the clinical management of the diabetic cardiovascular disease patient.
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Affiliation(s)
- Jason C Kovacic
- Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1030, New York, NY 10029, USA; Marie-Josée and Henry R. Kravis Cardiovascular Health Center, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1030, New York, NY 10029, USA
| | - Jose M Castellano
- Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1030, New York, NY 10029, USA; Marie-Josée and Henry R. Kravis Cardiovascular Health Center, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1030, New York, NY 10029, USA
| | - Michael E Farkouh
- Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1030, New York, NY 10029, USA; Marie-Josée and Henry R. Kravis Cardiovascular Health Center, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1030, New York, NY 10029, USA; Peter Munk Cardiac Centre and Heart and Stroke Richard Lewar Centre of Excellence, Cardiovascular Research, University of Toronto, MaRS Building 101 College Street, 3rd Floor, Toronto, ON M5G 1L7, Canada
| | - Valentin Fuster
- Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1030, New York, NY 10029, USA; Marie-Josée and Henry R. Kravis Cardiovascular Health Center, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1030, New York, NY 10029, USA; The Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3.Código Postal 28029, Madrid, Spain.
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91
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de la Monte SM, Tong M. Brain metabolic dysfunction at the core of Alzheimer's disease. Biochem Pharmacol 2013; 88:548-59. [PMID: 24380887 DOI: 10.1016/j.bcp.2013.12.012] [Citation(s) in RCA: 314] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2013] [Revised: 12/16/2013] [Accepted: 12/16/2013] [Indexed: 02/06/2023]
Abstract
Growing evidence supports the concept that Alzheimer's disease (AD) is fundamentally a metabolic disease with molecular and biochemical features that correspond with diabetes mellitus and other peripheral insulin resistance disorders. Brain insulin/IGF resistance and its consequences can readily account for most of the structural and functional abnormalities in AD. However, disease pathogenesis is complicated by the fact that AD can occur as a separate disease process, or arise in association with systemic insulin resistance diseases, including diabetes, obesity, and non-alcoholic fatty liver disease. Whether primary or secondary in origin, brain insulin/IGF resistance initiates a cascade of neurodegeneration that is propagated by metabolic dysfunction, increased oxidative and ER stress, neuro-inflammation, impaired cell survival, and dysregulated lipid metabolism. These injurious processes compromise neuronal and glial functions, reduce neurotransmitter homeostasis, and cause toxic oligomeric pTau and (amyloid beta peptide of amyloid beta precursor protein) AβPP-Aβ fibrils and insoluble aggregates (neurofibrillary tangles and plaques) to accumulate in brain. AD progresses due to: (1) activation of a harmful positive feedback loop that progressively worsens the effects of insulin resistance; and (2) the formation of ROS- and RNS-related lipid, protein, and DNA adducts that permanently damage basic cellular and molecular functions. Epidemiologic data suggest that insulin resistance diseases, including AD, are exposure-related in etiology. Furthermore, experimental and lifestyle trend data suggest chronic low-level nitrosamine exposures are responsible. These concepts offer opportunities to discover and implement new treatments and devise preventive measures to conquer the AD and other insulin resistance disease epidemics.
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Affiliation(s)
- Suzanne M de la Monte
- Departments of Pathology (Neuropathology), Rhode Island Hospital and the Warren Alpert Medical School of Brown University, Providence, RI, USA; Departments of Neurology, Rhode Island Hospital and the Warren Alpert Medical School of Brown University, Providence, RI, USA; Departments of Neurosurgery, Rhode Island Hospital and the Warren Alpert Medical School of Brown University, Providence, RI, USA; Departments of Medicine, Rhode Island Hospital and the Warren Alpert Medical School of Brown University, Providence, RI, USA.
| | - Ming Tong
- Departments of Medicine, Rhode Island Hospital and the Warren Alpert Medical School of Brown University, Providence, RI, USA
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92
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Kryscio RJ, Abner EL, Lin Y, Cooper GE, Fardo DW, Jicha GA, Nelson PT, Smith CD, Van Eldik LJ, Wan L, Schmitt FA. Adjusting for mortality when identifying risk factors for transitions to mild cognitive impairment and dementia. J Alzheimers Dis 2013; 35:823-32. [PMID: 23507772 DOI: 10.3233/jad-122146] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Risk factors for mild cognitive impairment (MCI) and dementia are often investigated without accounting for the competing risk of mortality, which can bias results and lead to spurious conclusions, particularly regarding protective factors. Here, we apply a semi-Markov modeling approach to 531 participants in the University of Kentucky Biologically Resilient Adults in Neurological Studies (BRAiNS) longitudinal cohort, over one-third of whom died without transitioning to a cognitively impaired clinical state. A semi-Markov approach enables a statistical study of clinical state transitions while accounting for the competing risk of death and facilitates insights into both the odds that a risk factor will affect clinical transitions as well as the age at which the transition to MCI or dementia will occur. Risk factors assessed in the current study were identified by matching those reported in the literature with the data elements collected on participants. The presence of Type II diabetes at baseline shortens the time it takes cognitively intact individuals to transition to MCI by seven years on average while use of estrogen replacement therapy at enrollment (baseline) decreases the time required to convert from MCI to dementia by 1.5 years. Finally, smoking and being overweight do not promote transitions to impaired states but instead hasten death without a dementia. In contrast, conventional statistical analyses based on Cox proportional hazards models fail to recognize diabetes as a risk, show that being overweight increases the risk of clinical MCI, and that high blood pressure at baseline increases the risk of a dementia.
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Affiliation(s)
- Richard J Kryscio
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
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93
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Debette S. Vascular risk factors and cognitive disorders. Rev Neurol (Paris) 2013; 169:757-64. [PMID: 24035574 DOI: 10.1016/j.neurol.2013.07.022] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Accepted: 07/22/2013] [Indexed: 01/21/2023]
Abstract
Delaying the onset of dementia by just a few years could have a major impact on the prevalence of the disease at the population level. Vascular risk factors are modifiable and may offer an important opportunity for preventive approaches. Several studies have shown that diabetes, hypertension, obesity, and smoking are associated with an increased risk of cognitive decline and dementia, but other groups have not observed such a relation. Positive associations were observed mainly in studies where risk factors were assessed in midlife, suggesting that age is an important modulator in the relation between vascular risk factors and cognition. The population attributable risk of dementia is particularly high for hypertension. Associations of vascular risk factors with cognitive decline and dementia are probably mediated largely by cerebrovascular disease, including both stroke and covert vascular brain injury, which can have additive or synergistic effects with coexisting neurodegenerative lesions. To date, randomized trials have not convincingly demonstrated that treating vascular risk factors is associated with a reduction in cognitive decline or dementia risk. Of eight randomized trials testing the effect of antihypertensive agents on dementia risk, only one was positive, and another in a subgroup of individuals with recurrent stroke. In most trials, cognition and dementia were secondary outcomes, follow-up was short and treatment was initiated at an older age. No effect on cognitive decline or dementia could be demonstrated for statins and intensive glycemic control. Future areas of investigation could include differential class effects of antihypertensive drugs on cognitive outcomes and identification of high risk individuals as target population for clinical trials initiated in midlife.
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Affiliation(s)
- S Debette
- Department of neurology, hôpital Lariboisière, 2, rue Ambroise-Paré, 75475 Paris cedex 10, France; Inserm unit U740, université Paris Diderot Paris 7, UFR de médecine Paris Diderot Paris 7 (site Villemin), 10, avenue de Verdun, 75010 Paris, France; Paris 7 university, DHU neurovasc Sorbonne Paris-Cité, 190, avenue de France, 75013 Paris, France; Department of neurology, Framingham heart study, Boston university school of medicine, 72 E Concord St, Boston, MA 02118, USA.
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94
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Nelson PT, Smith CD, Abner EL, Wilfred BJ, Wang WX, Neltner JH, Baker M, Fardo DW, Kryscio RJ, Scheff SW, Jicha GA, Jellinger KA, Van Eldik LJ, Schmitt FA. Hippocampal sclerosis of aging, a prevalent and high-morbidity brain disease. Acta Neuropathol 2013; 126:161-77. [PMID: 23864344 DOI: 10.1007/s00401-013-1154-1] [Citation(s) in RCA: 133] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2013] [Accepted: 07/08/2013] [Indexed: 12/13/2022]
Abstract
Hippocampal sclerosis of aging (HS-Aging) is a causative factor in a large proportion of elderly dementia cases. The current definition of HS-Aging rests on pathologic criteria: neuronal loss and gliosis in the hippocampal formation that is out of proportion to AD-type pathology. HS-Aging is also strongly associated with TDP-43 pathology. HS-Aging pathology appears to be most prevalent in the oldest-old: autopsy series indicate that 5-30 % of nonagenarians have HS-Aging pathology. Among prior studies, differences in study design have contributed to the study-to-study variability in reported disease prevalence. The presence of HS-Aging pathology correlates with significant cognitive impairment which is often misdiagnosed as AD clinically. The antemortem diagnosis is further confounded by other diseases linked to hippocampal atrophy including frontotemporal lobar degeneration and cerebrovascular pathologies. Recent advances characterizing the neurocognitive profile of HS-Aging patients have begun to provide clues that may help identify living individuals with HS-Aging pathology. Structural brain imaging studies of research subjects followed to autopsy reveal hippocampal atrophy that is substantially greater in people with eventual HS-Aging pathology, compared to those with AD pathology alone. Data are presented from individuals who were followed with neurocognitive and neuroradiologic measurements, followed by neuropathologic evaluation at the University of Kentucky. Finally, we discuss factors that are hypothesized to cause or modify the disease. We conclude that the published literature on HS-Aging provides strong evidence of an important and under-appreciated brain disease of aging. Unfortunately, there is no therapy or preventive strategy currently available.
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95
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Sweet memories: 20 years of progress in research on cognitive functioning in diabetes. Eur J Pharmacol 2013; 719:153-160. [PMID: 23872409 DOI: 10.1016/j.ejphar.2013.04.055] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2013] [Revised: 03/20/2013] [Accepted: 04/03/2013] [Indexed: 01/27/2023]
Abstract
This paper appears in a special issue of the European Journal of Pharmacology that commemorates the retirement of Professor Willem Hendrik Gispen as distinguished professor of Utrecht University and as editor of the European Journal of Pharmacology. The paper provides an overview of a research line on the impact of diabetes on cognition that we started together 20 years ago, and that continues to this day. I will report how we more or less stumbled upon this topic, that was understudied, but proved to be of definite clinical relevance. I will discuss how we tried to establish animal models, how developments from clinical and experimental studies from around the world led us to reconsider our concepts, and how findings from research on diabetic neuropathy, insulin signaling in the brain, Alzheimer's disease and dementia, and vascular disease and stroke converged and helped to create new ideas and refute others. This voyage has not ended yet, because the ultimate goal is to offer patients with diabetes treatment that can protect them against accelerated cognitive decline. Although this could take another 20 years, the research from Willem Hendrik and his group brought us an important step in the right direction.
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96
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Jackson K, Barisone GA, Diaz E, Jin LW, DeCarli C, Despa F. Amylin deposition in the brain: A second amyloid in Alzheimer disease? Ann Neurol 2013; 74:517-26. [PMID: 23794448 DOI: 10.1002/ana.23956] [Citation(s) in RCA: 257] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2012] [Revised: 05/10/2013] [Accepted: 05/24/2013] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Hyperamylinemia, a common pancreatic disorder in obese and insulin-resistant patients, is known to cause amylin oligomerization and cytotoxicity in pancreatic islets, leading to β-cell mass depletion and development of type 2 diabetes. Recent data has revealed that hyperamylinemia also affects the vascular system, heart, and kidneys. We therefore hypothesized that oligomerized amylin might accumulate in the cerebrovascular system and brain parenchyma of diabetic patients. METHODS Amylin accumulation in the brain of diabetic patients with vascular dementia or Alzheimer disease (AD), nondiabetic patients with AD, and age-matched healthy controls was assessed by quantitative real time polymerase chain reaction, immunohistochemistry, Western blot, and enzyme-linked immunosorbent assay. RESULTS Amylin oligomers and plaques were identified in the temporal lobe gray matter from diabetic patients, but not controls. In addition, extensive amylin deposition was found in blood vessels and perivascular spaces. Intriguingly, amylin deposition was also detected in blood vessels and brain parenchyma of patients with late onset AD without clinically apparent diabetes. Mixed amylin and amyloid β (Aβ) deposits were occasionally observed. However, amylin accumulation leads to amyloid formation independent of Aβ deposition. Tissues infiltrated by amylin showed increased interstitial space, vacuolation, spongiform change, and capillaries bent at amylin accumulation sites. Unlike the pancreas, there was no evidence of amylin synthesis in the brain. INTERPRETATION Metabolic disorders and aging promote accumulation of amylin amyloid in the cerebrovascular system and gray matter, altering microvasculature and tissue structure. Amylin amyloid formation in the wall of cerebral blood vessels may also induce failure of elimination of Aβ from the brain, thus contributing to the etiology of AD.
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Affiliation(s)
- Kaleena Jackson
- Department of Pharmacology, University of California, Davis, Davis, CA
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97
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Zhao B, Pan BS, Shen SW, Sun X, Hou ZZ, Yan R, Sun FY. Diabetes-induced central neuritic dystrophy and cognitive deficits are associated with the formation of oligomeric reticulon-3 via oxidative stress. J Biol Chem 2013; 288:15590-9. [PMID: 23592790 DOI: 10.1074/jbc.m112.440784] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Diabetes is a high risk factor to dementia. To investigate the molecular mechanism of diabetic dementia, we induced type 2 diabetes in rats and examined potential changes in their cognitive functions and the neural morphology of the brains. We found that the diabetic rats with an impairment of spatial learning and memory showed the occurrence of RTN3-immunoreactive dystrophic neurites in the cortex. Biochemical examinations revealed the increase of a high molecular weight form of RTN3 (HW-RTN3) in diabetic brains. The corresponding decrease of monomeric RTN3 was correlated with the reduction of its inhibitory effects on the activity of β-secretase (BACE1), a key enzyme for generation of β-amyloid peptides. The results from immunoprecipitation combined with protein carbonyl detection showed that carbonylated RTN3 was significantly higher in cortical tissues of diabetic rats compared with control rats, indicating that diabetes-induced oxidative stress led to RTN3 oxidative damage. In neuroblastoma SH-SY5Y cells, high glucose and/or H2O2 treatment significantly increased the amounts of carbonylated proteins and HW-RTN3, whereas monomeric RTN3 was reduced. Hence, we conclude that diabetes-induced cognitive deficits and central neuritic dystrophy are correlated with the formation of aggregated RTN3 via oxidative stress. We provided the first evidence that oxidative damage caused the formation of toxic RTN3 aggregates, which participated in the pathogenesis of central neuritic dystrophy in diabetic brain. Present findings may offer a new therapeutic strategy to prevent or reduce diabetic dementia.
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Affiliation(s)
- Bei Zhao
- Institutes for Biomedical Science and Department of Neurobiology of the School of Basic Medical Sciences, Shanghai 200032
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98
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Morphometric changes in lateral ventricles of patients with recent-onset type 2 diabetes mellitus. PLoS One 2013; 8:e60515. [PMID: 23593231 PMCID: PMC3617143 DOI: 10.1371/journal.pone.0060515] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2012] [Accepted: 02/28/2013] [Indexed: 11/22/2022] Open
Abstract
It is becoming increasingly evident that type 2 diabetes mellitus can have effects on global and regional brain morphology. Ventricular enlargement reflecting cerebral atrophy has been reported particularly in elderly type 2 diabetes patients. However, little is known about its timing through the disease course and morphological variability. Using the combined volumetric and advanced three-dimensional morphological approach, we identified differences in size and shape of the lateral ventricles between recent-onset type 2 diabetes patients and healthy individuals. High-resolution T1-weighted images were obtained from 23 type 2 diabetes patients whose illness duration was less than 1 year and 23 carefully matched healthy individuals. By volume measurement, we found enlarged lateral and third ventricles in type 2 diabetes patients, relative to healthy individuals (F1,41 = 7.96, P = 0.007; F1,41 = 11.16, P = 0.002, respectively). Morphological analysis revealed that the expansion of lateral ventricles in the diabetic brain was prominent in the bilateral frontal horns. The current findings suggest that atrophic changes particularly of the anterior frontal lobe can occur as early as the first year after the clinical diagnosis of type 2 diabetes mellitus.
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Vagelatos NT, Eslick GD. Type 2 diabetes as a risk factor for Alzheimer's disease: the confounders, interactions, and neuropathology associated with this relationship. Epidemiol Rev 2013; 35:152-60. [PMID: 23314404 DOI: 10.1093/epirev/mxs012] [Citation(s) in RCA: 223] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2013] [Indexed: 12/24/2022] Open
Abstract
We performed a systematic review and meta-analysis to explore whether type 2 diabetes mellitus (T2DM) increases the risk of Alzheimer's disease (AD). We also reviewed interactions with smoking, hypertension, and apolipoprotein E ɛ4. Using a series of databases (MEDLINE, EMBASE, PubMed, Current Contents Connect, and Google Scholar), we identified a total of 15 epidemiologic studies. Fourteen studies reported positive associations, of which 9 were statistically significant. Risk estimates ranged from 0.83 to 2.45. The pooled adjusted risk ratio was 1.57 (95% confidence interval: 1.41, 1.75), with a population-attributable risk of 8%. Smoking and hypertension, when comorbid with T2DM, had odds of 14 and 3, respectively. Of the 5 studies that investigated the interaction between T2DM and apolipoprotein E ɛ4, 4 showed positive associations, of which 3 were significant, with odds ranging from 2.4 to 4.99. The pooled adjusted risk ratio was 2.91 (95% confidence interval: 1.51, 5.61). Risk estimates were presented in the context of a key confounder-cerebral infarcts-which are more common in those with T2DM and might contribute to the manifestation of clinical AD. We provide evidence from clinico-neuropathologic studies that demonstrates the following: First, cerebral infarcts are more common than AD-type pathology in those with T2DM and dementia. Second, those with dementia at postmortem are more likely to have both AD-type and cerebrovascular pathologies. Finally, cerebral infarcts reduce the number of AD lesions required for the manifestation of clinical dementia, but they do not appear to interact synergistically with AD-type pathology. Therefore, the increased risk of clinically diagnosed AD seems to be mediated through cerebrovascular pathology.
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Reijmer YD, Brundel M, de Bresser J, Kappelle LJ, Leemans A, Biessels GJ. Microstructural white matter abnormalities and cognitive functioning in type 2 diabetes: a diffusion tensor imaging study. Diabetes Care 2013; 36:137-44. [PMID: 22961577 PMCID: PMC3526236 DOI: 10.2337/dc12-0493] [Citation(s) in RCA: 168] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2012] [Accepted: 07/05/2012] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To examine whether type 2 diabetes is associated with microstructural abnormalities in specific cerebral white matter tracts and to relate these microstructural abnormalities to cognitive functioning. RESEARCH DESIGN AND METHODS Thirty-five nondemented older individuals with type 2 diabetes (mean age 71 ± 5 years) and 35 age-, sex-, and education-matched control subjects underwent a 3 Tesla diffusion-weighted MRI scan and a detailed cognitive assessment. Tractography was performed to reconstruct several white matter tracts. Diffusion tensor imaging measures, including fractional anisotropy (FA) and mean diffusivity (MD), were compared between groups and related to cognitive performance. RESULTS MD was significantly increased in all tracts in both hemispheres in patients compared with control subjects (P < 0.05), reflecting microstructural white matter abnormalities in the diabetes group. Increased MD was associated with slowing of information-processing speed and worse memory performance in the diabetes but not in the control group after adjustment for age, sex, and estimated IQ (group × MD interaction, all P < 0.05). These associations were independent of total white matter hyperintensity load and presence of cerebral infarcts. CONCLUSIONS Individuals with type 2 diabetes showed microstructural abnormalities in various white matter pathways. These abnormalities were related to worse cognitive functioning.
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Affiliation(s)
- Yael D Reijmer
- Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands.
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