1
|
Shen M, Zhang L, Li C, Ma Y, Gao S, Ma Y. Meta-analysis with trial sequential analysis investigating the impact of adjunctive electroacupuncture therapy on vascular mild cognitive impairment. Transl Psychiatry 2024; 14:349. [PMID: 39214960 PMCID: PMC11364872 DOI: 10.1038/s41398-024-03052-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 08/08/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND To systematically collect, evaluate, and synthesize evidence from randomized controlled trials (RCTs) supporting the use of electroacupuncture (EA) as an additional treatment option for Vascular mild cognitive impairment (VaMCI), a meta-analysis was carried out. METHODS Electronic searches of eight databases were used to locate RCTs that evaluated EA as a VaMCI adjuvant therapy. The Cochrane Risk of bias was used to assess the included trials' methodological quality. Review Manager 5.4 was used to analyze the data. Trial sequential analysis (TSA) was conducted with the trial sequential analysis program. RESULTS There were 15 RCTs with 1033 subjects in them. Compared to conventional therapy (CT) alone, the Montreal Cognitive Assessment (SMD 0.72, 95 percent CI [0.55, 0.88]), Mini-mental State Examination (SMD 0.73, 95 percent CI [0.60, 0.87]), and activities of daily living (SMD 0.83, 95 percent CI [0.54, 1.12]) were significantly improved while EA was used in conjunction with CT. The current studies exceeded the required information size, according to trial sequential analysis (TSA), demonstrating the reliability of EA adjuvant therapy VaMCI. CONCLUSIONS According to the pooled data, EA as an adjunct therapy for the treatment of VaMCI increases clinical efficacy. Although the TSA confirms a stable conclusion, it is encouraged to conduct studies of the highest quality standards.
Collapse
Affiliation(s)
- Min Shen
- Department of Acupuncture and Massage, College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Linlin Zhang
- Key Laboratory of New Material Research, Institute of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Chunjing Li
- Department of Acupuncture and Massage, College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yuning Ma
- Key Laboratory of New Material Research, Institute of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Shuzhong Gao
- Department of Acupuncture and Massage, College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yuxia Ma
- Department of Acupuncture and Massage, College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
| |
Collapse
|
2
|
Cui W, Lv C, Geng P, Fu M, Zhou W, Xiong M, Li T. Novel targets and therapies of metformin in dementia: old drug, new insights. Front Pharmacol 2024; 15:1415740. [PMID: 38881878 PMCID: PMC11176471 DOI: 10.3389/fphar.2024.1415740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 05/16/2024] [Indexed: 06/18/2024] Open
Abstract
Dementia is a devastating disorder characterized by progressive and persistent cognitive decline, imposing a heavy public health burden on the individual and society. Despite numerous efforts by researchers in the field of dementia, pharmacological treatments are limited to relieving symptoms and fail to prevent disease progression. Therefore, studies exploring novel therapeutics or repurposing classical drugs indicated for other diseases are urgently needed. Metformin, a first-line antihyperglycemic drug used to treat type 2 diabetes, has been shown to be beneficial in neurodegenerative diseases including dementia. This review discusses and evaluates the neuroprotective role of metformin in dementia, from the perspective of basic and clinical studies. Mechanistically, metformin has been shown to improve insulin resistance, reduce neuronal apoptosis, and decrease oxidative stress and neuroinflammation in the brain. Collectively, the current data presented here support the future potential of metformin as a potential therapeutic strategy for dementia. This study also inspires a new field for future translational studies and clinical research to discover novel therapeutic targets for dementia.
Collapse
Affiliation(s)
- Wenxing Cui
- College of Life Sciences, Northwest University, Xi'an, China
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Chen Lv
- Hangzhou Simo Co., Ltd., Hangzhou, China
| | - Panling Geng
- College of Life Sciences, Northwest University, Xi'an, China
| | - Mingdi Fu
- College of Life Sciences, Northwest University, Xi'an, China
| | - Wenjing Zhou
- College of Life Sciences, Northwest University, Xi'an, China
| | - Mingxiang Xiong
- College of Life Sciences, Northwest University, Xi'an, China
| | - Tian Li
- School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| |
Collapse
|
3
|
Liu Y, He B, Du K, Zheng J, Ke D, Mo W, Li Y, Jiang T, Xiong R, Sun F, Zhao S, Wei W, Xu Z, Zhang S, Li S, Wang X, Zhou Q, Ye J, Liang Y, Lin H, Liu Y, Chen L, Zhang H, Zhang Y, Gao Y, Wang JZ. Periphery Biomarkers Predicting Conversion of Type 2 Diabetes to Pre-Alzheimer-Like Cognitive Decline: A Multicenter Follow-Up Study. J Alzheimers Dis 2024; 100:S115-S129. [PMID: 39058442 DOI: 10.3233/jad-240455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2024]
Abstract
Background The prevalence of Alzheimer's disease (AD) is increasing, therefore, identifying biomarkers to predict those vulnerable to AD is imperative. Type 2 diabetes (T2D) serves as an independent risk factor for AD. Early prediction of T2D patients who may be more susceptible to AD, so as to achieve early intervention, is of great significance to reduce the prevalence of AD. Objective To establish periphery biomarkers that could predict conversion of T2D into pre-AD-like cognitive decline. Methods A follow-up study was carried out from 159 T2D patients at baseline. The correlations of cognitive states (by MMSE score) with multi-periphery biomarkers, including APOE genotype, plasma amyloid-β level, platelet GSK-3β activity, and olfactory score were analyzed by logistic regression. ROC curve was used for establishing the prediction model. Additionally, MRI acquired from 38 T2D patients for analyzing the correlation among cognitive function, biomarkers and brain structure. Results Compared with the patients who maintained normal cognitive functions during the follow-up period, the patients who developed MCI showed worse olfactory function, higher platelet GSK-3β activity, and higher plasma Aβ42/Aβ40 ratio. We conducted a predictive model which T2D patients had more chance of suffering from pre-AD-like cognitive decline. The MRI data revealed MMSE scores were positively correlated with brain structures. However, platelet GSK-3β activity was negatively correlated with brain structures. Conclusions Elevated platelet GSK-3β activity and plasma Aβ42/Aβ40 ratio with reduced olfactory function are correlated with pre-AD-like cognitive decline in T2D patients, which used for predicting which T2D patients will convert into pre-AD-like cognitive decline in very early stage.
Collapse
Affiliation(s)
- Yanchao Liu
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Benrong He
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Emergency of General Hospital of Central Theater Command, Wuhan, China
| | - Kai Du
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jie Zheng
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University. Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing, China
| | - Dan Ke
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wen Mo
- Health Service Center of Jianghan District, Wuhan, China
| | - Yanni Li
- Health Service Center of Jianghan District, Wuhan, China
| | - Tao Jiang
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Xiong
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Sun
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shi Zhao
- Department of Endocrinology, the Central Hospital of Wuhan, Wuhan, China
| | - Wei Wei
- Department of Endocrinology, the Central Hospital of Wuhan, Wuhan, China
| | - Zhipeng Xu
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Shujuan Zhang
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shihong Li
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Wang
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiuzhi Zhou
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinwang Ye
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Liang
- Department of Radiology, Wuhan Brain Hospital, Wuhan, China
| | - Hao Lin
- Department of Radiology, Wuhan Brain Hospital, Wuhan, China
| | - Yong Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huaqiu Zhang
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yao Zhang
- Li-Yuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Gao
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jian-Zhi Wang
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
| |
Collapse
|
4
|
van Arendonk J, Neitzel J, Steketee RME, van Assema DME, Vrooman HA, Segbers M, Ikram MA, Vernooij MW. Diabetes and hypertension are related to amyloid-beta burden in the population-based Rotterdam Study. Brain 2022; 146:337-348. [PMID: 36374264 PMCID: PMC9825526 DOI: 10.1093/brain/awac354] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/01/2022] [Accepted: 09/01/2022] [Indexed: 11/15/2022] Open
Abstract
Higher vascular disease burden increases the likelihood of developing dementia, including Alzheimer's disease. Better understanding the association between vascular risk factors and Alzheimer's disease pathology at the predementia stage is critical for developing effective strategies to delay cognitive decline. In this work, we estimated the impact of six vascular risk factors on the presence and severity of in vivo measured brain amyloid-beta (Aβ) plaques in participants from the population-based Rotterdam Study. Vascular risk factors (hypertension, hypercholesterolaemia, diabetes, obesity, physical inactivity and smoking) were assessed 13 (2004-2008) and 7 years (2009-2014) prior to 18F-florbetaben PET (2018-2021) in 635 dementia-free participants. Vascular risk factors were associated with binary amyloid PET status or continuous PET readouts (standard uptake value ratios, SUVrs) using logistic and linear regression models, respectively, adjusted for age, sex, education, APOE4 risk allele count and time between vascular risk and PET assessment. Participants' mean age at time of amyloid PET was 69 years (range: 60-90), 325 (51.2%) were women and 190 (29.9%) carried at least one APOE4 risk allele. The adjusted prevalence estimates of an amyloid-positive PET status markedly increased with age [12.8% (95% CI 11.6; 14) in 60-69 years versus 35% (36; 40.8) in 80-89 years age groups] and APOE4 allele count [9.7% (8.8; 10.6) in non-carriers versus 38.4% (36; 40.8) to 60.4% (54; 66.8) in carriers of one or two risk allele(s)]. Diabetes 7 years prior to PET assessment was associated with a higher risk of a positive amyloid status [odds ratio (95% CI) = 3.68 (1.76; 7.61), P < 0.001] and higher standard uptake value ratios, indicating more severe Aβ pathology [standardized beta = 0.40 (0.17; 0.64), P = 0.001]. Hypertension was associated with higher SUVr values in APOE4 carriers (mean SUVr difference of 0.09), but not in non-carriers (mean SUVr difference 0.02; P = 0.005). In contrast, hypercholesterolaemia was related to lower SUVr values in APOE4 carriers (mean SUVr difference -0.06), but not in non-carriers (mean SUVr difference 0.02). Obesity, physical inactivity and smoking were not related to amyloid PET measures. The current findings suggest a contribution of diabetes, hypertension and hypercholesterolaemia to the pathophysiology of Alzheimer's disease in a general population of older non-demented adults. As these conditions respond well to lifestyle modification and drug treatment, further research should focus on the preventative effect of early risk management on the development of Alzheimer's disease neuropathology.
Collapse
Affiliation(s)
| | | | | | - Daniëlle M E van Assema
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands,Department of Medical Imaging, Nuclear Medicine, Northwest Clinics, Alkmaar, The Netherlands
| | - Henri A Vrooman
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Marcel Segbers
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Correspondence to: Prof. Dr Meike W. Vernooij Erasmus MC University Medical Center Office ND-544, Wytemaweg 80 3015 CN Rotterdam, The Netherlands E-mail:
| |
Collapse
|
5
|
Zhang T, Shaw M, Cherbuin N. Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis. Diabetes Metab J 2022; 46:781-802. [PMID: 35255549 PMCID: PMC9532183 DOI: 10.4093/dmj.2021.0189] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/11/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is known to be associated with cognitive decline and brain structural changes. This study systematically reviews and estimates human brain volumetric differences and atrophy associated with T2DM. METHODS PubMed, PsycInfo and Cochrane Library were searched for brain imaging studies reporting on brain volume differences between individuals with T2DM and healthy controls. Data were examined using meta-analysis, and association between age, sex, diabetes characteristics and brain volumes were tested using meta-regression. RESULTS A total of 14,605 entries were identified; after title, abstract and full-text screening applying inclusion and exclusion criteria, 64 studies were included and 42 studies with compatible data contributed to the meta-analysis (n=31,630; mean age 71.0 years; 44.4% male; 26,942 control; 4,688 diabetes). Individuals with T2DM had significantly smaller total brain volume, total grey matter volume, total white matter volume and hippocampal volume (approximately 1% to 4%); meta-analyses of smaller samples focusing on other brain regions and brain atrophy rate in longitudinal investigations also indicated smaller brain volumes and greater brain atrophy associated with T2DM. Meta-regression suggests that diabetes-related brain volume differences start occurring in early adulthood, decreases with age and increases with diabetes duration. CONCLUSION T2DM is associated with smaller total and regional brain volume and greater atrophy over time. These effects are substantial and highlight an urgent need to develop interventions to reduce the risk of T2DM for brain health.
Collapse
Affiliation(s)
- Tianqi Zhang
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia
| | - Marnie Shaw
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia
| |
Collapse
|
6
|
Bellia C, Lombardo M, Meloni M, Della-Morte D, Bellia A, Lauro D. Diabetes and cognitive decline. Adv Clin Chem 2022; 108:37-71. [PMID: 35659061 DOI: 10.1016/bs.acc.2021.07.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Epidemiologic studies have documented an association between diabetes and increased risk of cognitive decline in the elderly. Based on animal model studies, several mechanisms have been proposed to explain such an association, including central insulin signaling, neurodegeneration, brain amyloidosis, and neuroinflammation. Nevertheless, the exact mechanisms in humans remain poorly defined. It is reasonable, however, that many pathways may be involved in these patients leading to cognitive impairment. A major aim of clinicians is identifying early onset of neurologic signs and symptoms in elderly diabetics to improve quality of life of those with cognitive impairment and reduce costs associated with long-term complications. Several biomarkers have been proposed to identify diabetics at higher risk of developing dementia and diagnose early stage dementia. Although biomarkers of brain amyloidosis, neurodegeneration and synaptic plasticity are commonly used to diagnose dementia, especially Alzheimer disease, their role in diabetes remains unclear. The aim of this review is to explore the molecular mechanisms linking diabetes with cognitive decline and present the most important findings on the clinical use of biomarkers for diagnosing and predicting early cognitive decline in diabetics.
Collapse
Affiliation(s)
- Chiara Bellia
- Department of Biomedicine, Neurosciences, and Advanced Diagnostics, University of Palermo, Palermo, Italy.
| | - Mauro Lombardo
- Department of Human Sciences and Quality of Life Promotion, San Raffaele Open University, Rome, Italy
| | - Marco Meloni
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - David Della-Morte
- Department of Human Sciences and Quality of Life Promotion, San Raffaele Open University, Rome, Italy; Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy; Department of Neurology and Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Alfonso Bellia
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Davide Lauro
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| |
Collapse
|
7
|
Gannon OJ, Robison LS, Salinero AE, Abi-Ghanem C, Mansour FM, Kelly RD, Tyagi A, Brawley RR, Ogg JD, Zuloaga KL. High-fat diet exacerbates cognitive decline in mouse models of Alzheimer's disease and mixed dementia in a sex-dependent manner. J Neuroinflammation 2022; 19:110. [PMID: 35568928 PMCID: PMC9107741 DOI: 10.1186/s12974-022-02466-2] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 04/21/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Approximately 70% of Alzheimer's disease (AD) patients have co-morbid vascular contributions to cognitive impairment and dementia (VCID); this highly prevalent overlap of dementia subtypes is known as mixed dementia (MxD). AD is more prevalent in women, while VCID is slightly more prevalent in men. Sex differences in risk factors may contribute to sex differences in dementia subtypes. Unlike metabolically healthy women, diabetic women are more likely to develop VCID than diabetic men. Prediabetes is 3× more prevalent than diabetes and is linked to earlier onset of dementia in women, but not men. How prediabetes influences underlying pathology and cognitive outcomes across different dementia subtypes is unknown. To fill this gap in knowledge, we investigated the impact of diet-induced prediabetes and biological sex on cognitive function and neuropathology in mouse models of AD and MxD. METHODS Male and female 3xTg-AD mice received a sham (AD model) or unilateral common carotid artery occlusion surgery to induce chronic cerebral hypoperfusion (MxD model). Mice were fed a control or high fat (HF; 60% fat) diet from 3 to 7 months of age. In both sexes, HF diet elicited a prediabetic phenotype (impaired glucose tolerance) and weight gain. RESULTS In females, but not males, metabolic consequences of a HF diet were more severe in AD or MxD mice compared to WT. In both sexes, HF-fed AD or MxD mice displayed deficits in spatial memory in the Morris water maze (MWM). In females, but not males, HF-fed AD and MxD mice also displayed impaired spatial learning in the MWM. In females, but not males, AD or MxD caused deficits in activities of daily living, regardless of diet. Astrogliosis was more severe in AD and MxD females compared to males. Further, AD/MxD females had more amyloid beta plaques and hippocampal levels of insoluble amyloid beta 40 and 42 than AD/MxD males. In females, but not males, more severe glucose intolerance (prediabetes) was correlated with increased hippocampal microgliosis. CONCLUSIONS High-fat diet had a wider array of metabolic, cognitive, and neuropathological consequences in AD and MxD females compared to males. These findings shed light on potential underlying mechanisms by which prediabetes may lead to earlier dementia onset in women.
Collapse
Affiliation(s)
- Olivia J. Gannon
- grid.413558.e0000 0001 0427 8745Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue; MC-136, Albany, NY 12208 USA
| | - Lisa S. Robison
- grid.413558.e0000 0001 0427 8745Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue; MC-136, Albany, NY 12208 USA ,grid.261241.20000 0001 2168 8324Department of Psychology & Neuroscience, Nova Southeastern University, 3301 College Avenue, Fort Lauderdale, FL 33314 USA ,grid.264307.40000 0000 9688 1551Department of Psychology, Stetson University, 421 N Woodland Blvd, DeLand, FL 32723 USA
| | - Abigail E. Salinero
- grid.413558.e0000 0001 0427 8745Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue; MC-136, Albany, NY 12208 USA
| | - Charly Abi-Ghanem
- grid.413558.e0000 0001 0427 8745Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue; MC-136, Albany, NY 12208 USA
| | - Febronia M. Mansour
- grid.413558.e0000 0001 0427 8745Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue; MC-136, Albany, NY 12208 USA
| | - Richard D. Kelly
- grid.413558.e0000 0001 0427 8745Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue; MC-136, Albany, NY 12208 USA
| | - Alvira Tyagi
- grid.413558.e0000 0001 0427 8745Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue; MC-136, Albany, NY 12208 USA
| | - Rebekah R. Brawley
- grid.264307.40000 0000 9688 1551Department of Psychology, Stetson University, 421 N Woodland Blvd, DeLand, FL 32723 USA
| | - Jordan D. Ogg
- grid.264307.40000 0000 9688 1551Department of Psychology, Stetson University, 421 N Woodland Blvd, DeLand, FL 32723 USA
| | - Kristen L. Zuloaga
- grid.413558.e0000 0001 0427 8745Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue; MC-136, Albany, NY 12208 USA
| |
Collapse
|
8
|
Rippon B, Palta P, Tahmi M, Sherwood G, Soto L, Cespedes S, Mesen Y, He H, Laing K, Moreno H, Teresi J, Razlighi Q, Brickman AM, Zetterberg H, Luchsinger JA. Plasma Amyloid and in vivo Brain Amyloid in Late Middle-Aged Hispanics. J Alzheimers Dis 2022; 87:1229-1238. [PMID: 35466933 PMCID: PMC10361456 DOI: 10.3233/jad-210391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Determining amyloid positivity is possible with cerebrospinal fluid and brain imaging of amyloid, but these methods are invasive and expensive. OBJECTIVE To relate plasma amyloid-β (Aβ), measured using Single-molecule array (Simoatrademark) assays, to in vivo brain Aβ, measured using positron emission tomography (PET), examine the accuracy of plasma Aβ to predict brain Aβ positivity, and the relation of APOE ɛ4 with plasma Aβ. METHODS We performed a cross-sectional analysis in a cohort of 345 late middle-aged Hispanic men and women (age 64 years, 72% women). Our primary plasma variable was Aβ42/Aβ40 ratio measured with Simoa. Brain Aβ burden was measured as global SUVR with 18F-Florbetaben PET examined continuously and categorically. RESULTS Plasma Aβ42/Aβ40 ratio was inversely associated with global Aβ SUVR (β= -0.13, 95% Confidence Interval (CI): -0.23, -0.03; p = 0.013) and Aβ positivity (Odds Ratio: 0.59, 95% CI: 0.38, 0.91; p = 0.016), independent of demographics and APOE ɛ4. ROC curves (AUC = 0.73, 95% CI: 0.64, 0.82; p < 0.0001) showed that the optimal threshold for plasma Aβ42/Aβ40 ratio in relation to brain Aβ positivity was 0.060 with a sensitivity of 82.4% and specificity of 62.8%. APOE ɛ4 carriers had lower Aβ42/Aβ40 ratio and a higher Aβ positivity determined with the Aβ42/Aβ40 ratio threshold of 0.060. CONCLUSION Plasma Aβ42/Aβ40 ratio assayed using Simoa is weakly correlated with in vivo brain amyloid and has limited accuracy in screening for amyloid positivity and for studying risk factors of brain amyloid burden when in vivo imaging is not feasible.
Collapse
Affiliation(s)
- Brady Rippon
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center (CUIMC), New York, NY, USA
| | - Priya Palta
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center (CUIMC), New York, NY, USA.,Department of Epidemiology, Joseph P. Mailman School of Public Health, CUIMC, New York, NY, USA
| | - Mouna Tahmi
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center (CUIMC), New York, NY, USA
| | - Greysi Sherwood
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center (CUIMC), New York, NY, USA
| | - Luisa Soto
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center (CUIMC), New York, NY, USA
| | - Sandino Cespedes
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center (CUIMC), New York, NY, USA
| | - Yanette Mesen
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center (CUIMC), New York, NY, USA
| | - Hengda He
- Department of Neurology, College of Physicians and Surgeons, CUIMC, New York, NY, USA
| | - Krystal Laing
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, CUIMC, New York, NY, USA
| | - Herman Moreno
- Department of Neurology and Pharmacology/Physiology, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Jeanne Teresi
- Research Division, Hebrew Home in Riverdale, Bronx, NY, USA
| | - Qolamreza Razlighi
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
| | - Adam M Brickman
- Department of Neurology, College of Physicians and Surgeons, CUIMC, New York, NY, USA.,Taub Institute for Research on Alzheimer's Disease and the Aging Brain, CUIMC, New York, NY, USA.,Gertrude H. Sergievsky Center, CUIMC, New York, NY, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - José A Luchsinger
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center (CUIMC), New York, NY, USA.,Department of Epidemiology, Joseph P. Mailman School of Public Health, CUIMC, New York, NY, USA
| |
Collapse
|
9
|
Thomas KR, Weigand AJ, Cota IH, Edmonds EC, Wierenga CE, Bondi MW, Bangen KJ. Intrusion errors moderate the relationship between blood glucose and regional cerebral blood flow in cognitively unimpaired older adults. Brain Imaging Behav 2022; 16:219-227. [PMID: 34415491 PMCID: PMC8825619 DOI: 10.1007/s11682-021-00495-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/29/2021] [Indexed: 02/03/2023]
Abstract
Regional cerebral blood flow (CBF) has a complex relationship with cognitive functioning such that cognitively unimpaired individuals at risk for Alzheimer's disease (AD) may show regional hyperperfusion, while those with cognitive impairment typically show hypoperfusion. Diabetes and word-list intrusion errors are both linked to greater risk of cognitive decline and dementia. Our study examined associations between fasting blood glucose, word-list intrusion errors, and regional CBF. 113 cognitively unimpaired older adults had arterial spin labeling MRI to measure CBF in a priori AD vulnerable regions: medial temporal lobe (MTL), inferior parietal lobe (IPL), precuneus, medial orbitofrontal cortex (mOFC), and pericalcarine (control region). Hierarchical linear regressions, adjusting for demographics, vascular risk, and reference CBF region, examined the main effect of blood glucose on regional CBF as well as whether intrusions moderated this relationship. Higher glucose was associated with higher CBF in the precuneus (β = .134, 95% CI = .007 to .261, p = .039), IPL (β = .173, 95% CI = .072 to .276, p = .001), and mOFC (β = .182, 95% CI = .047 to .320, p = .009). There was no main effect of intrusions on CBF across regions. However, the glucose x intrusions interaction was significant such that having higher glucose levels and more intrusion errors was associated with reduced CBF in the MTL (β = -.186, 95% CI = -.334 to -.040, p = .013) and precuneus (β = -.146, 95% CI = -.273 to -.022, p = .022). These findings may reflect early neurovascular dysregulation, whereby higher CBF is needed to maintain unimpaired cognition in individuals with higher glucose levels. However, lower regional CBF in unimpaired participants with both higher glucose and more intrusions suggests a failure in this early compensatory mechanism that may signal a decrease in neural activity in AD vulnerable regions.
Collapse
Affiliation(s)
- Kelsey R Thomas
- Research Service, VA San Diego Healthcare System, 3350 La Jolla Village Drive (151), San Diego, CA, USA.
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
| | - Alexandra J Weigand
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Isabel H Cota
- Research Service, VA San Diego Healthcare System, 3350 La Jolla Village Drive (151), San Diego, CA, USA
| | - Emily C Edmonds
- Research Service, VA San Diego Healthcare System, 3350 La Jolla Village Drive (151), San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Christina E Wierenga
- Research Service, VA San Diego Healthcare System, 3350 La Jolla Village Drive (151), San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Mark W Bondi
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Psychology Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Katherine J Bangen
- Research Service, VA San Diego Healthcare System, 3350 La Jolla Village Drive (151), San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| |
Collapse
|
10
|
Carranza-Naval MJ, Del Marco A, Hierro-Bujalance C, Alves-Martinez P, Infante-Garcia C, Vargas-Soria M, Herrera M, Barba-Cordoba B, Atienza-Navarro I, Lubian-Lopez S, Garcia-Alloza M. Liraglutide Reduces Vascular Damage, Neuronal Loss, and Cognitive Impairment in a Mixed Murine Model of Alzheimer's Disease and Type 2 Diabetes. Front Aging Neurosci 2022; 13:741923. [PMID: 34975451 PMCID: PMC8716860 DOI: 10.3389/fnagi.2021.741923] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 10/20/2021] [Indexed: 12/29/2022] Open
Abstract
Alzheimer's disease is the most common form of dementia, and epidemiological studies support that type 2 diabetes (T2D) is a major contributor. The relationship between both diseases and the fact that Alzheimer's disease (AD) does not have a successful treatment support the study on antidiabetic drugs limiting or slowing down brain complications in AD. Among these, liraglutide (LRGT), a glucagon-like peptide-1 agonist, is currently being tested in patients with AD in the Evaluating Liraglutide in Alzheimer's Disease (ELAD) clinical trial. However, the effects of LRGT on brain pathology when AD and T2D coexist have not been assessed. We have administered LRGT (500 μg/kg/day) to a mixed murine model of AD and T2D (APP/PS1xdb/db mice) for 20 weeks. We have evaluated metabolic parameters as well as the effects of LRGT on learning and memory. Postmortem analysis included assessment of brain amyloid-β and tau pathologies, microglia activation, spontaneous bleeding and neuronal loss, as well as insulin and insulin-like growth factor 1 receptors. LRGT treatment reduced glucose levels in diabetic mice (db/db and APP/PS1xdb/db) after 4 weeks of treatment. LRGT also helped to maintain insulin levels after 8 weeks of treatment. While we did not detect any effects on cortical insulin or insulin-like growth factor 1 receptor m-RNA levels, LRGT significantly reduced brain atrophy in the db/db and APP/PS1xdb/db mice. LRGT treatment also rescued neuron density in the APP/PS1xdb/db mice in the proximity (p = 0.008) far from amyloid plaques (p < 0.001). LRGT reduced amyloid plaque burden in the APP/PS1 animals (p < 0.001), as well as Aβ aggregates levels (p = 0.046), and tau hyperphosphorylation (p = 0.009) in the APP/PS1xdb/db mice. Spontaneous bleeding was also ameliorated in the APP/PS1xdb/db animals (p = 0.012), and microglia burden was reduced in the proximity of amyloid plaques in the APP/PS1 and APP/PS1xdb/db mice (p < 0.001), while microglia was reduced in areas far from amyloid plaques in the db/db and APP/PS1xdb/db mice (p < 0.001). This overall improvement helped to rescue cognitive impairment in AD-T2D mice in the new object discrimination test (p < 0.001) and Morris water maze (p < 0.001). Altogether, our data support the role of LRGT in reduction of associated brain complications when T2D and AD occur simultaneously, as regularly observed in the clinical arena.
Collapse
Affiliation(s)
- Maria Jose Carranza-Naval
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cádiz (INIBICA), Cádiz, Spain.,Salus Infirmorum-Universidad de Cádiz, Cádiz, Spain
| | - Angel Del Marco
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cádiz (INIBICA), Cádiz, Spain
| | - Carmen Hierro-Bujalance
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cádiz (INIBICA), Cádiz, Spain
| | - Pilar Alves-Martinez
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cádiz (INIBICA), Cádiz, Spain
| | - Carmen Infante-Garcia
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cádiz (INIBICA), Cádiz, Spain
| | - Maria Vargas-Soria
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cádiz (INIBICA), Cádiz, Spain
| | - Marta Herrera
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain
| | - Belen Barba-Cordoba
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain
| | - Isabel Atienza-Navarro
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cádiz (INIBICA), Cádiz, Spain
| | - Simon Lubian-Lopez
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cádiz (INIBICA), Cádiz, Spain.,Section of Neonatology, Division of Pediatrics, Hospital Universitario Puerta del Mar, Cádiz, Spain
| | - Monica Garcia-Alloza
- Division of Physiology, School of Medicine, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cádiz (INIBICA), Cádiz, Spain
| |
Collapse
|
11
|
Hughes TM, Lockhart SN, Suerken CK, Jung Y, Whitlow CT, Bateman JR, Williams BJ, Espeland MA, Sachs BC, Williamson J, Cleveland M, Yang M, Rogers S, Hayden KM, Baker LD, Craft S. Hypertensive Aspects of Cardiometabolic Disorders Are Associated with Lower Brain Microstructure, Perfusion, and Cognition. J Alzheimers Dis 2022; 90:1589-1599. [PMID: 36314205 PMCID: PMC9764872 DOI: 10.3233/jad-220646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Cardiometabolic disorders (hypertension, diabetes) are key modifiable risk factors for Alzheimer's disease and related disorders. They often co-occur; yet, the extent to which they independently affect brain structure and function is unclear. OBJECTIVE We hypothesized their combined effect is greater in associations with cognitive function and neuroimaging biomarkers of white matter (WM) health and cerebral perfusion in a diverse older adult cohort. METHODS Participants aged 50-85 years received: clinical evaluation, oral glucose tolerance testing, neuroimaging, cognitive testing, and adjudication. Neuroimaging included: T1 (gray [GM]/WM segmentation, regional volumes/thicknesses); FLAIR (WM hyperintensity volume [WMHv]; arterial spin labeling (cerebral blood flow); diffusion tensor imaging (fractional anisotropy [FA]); and neurite orientation dispersion and density imaging (Free Water). Hypertension (HTN) and impaired glucose tolerance (IGT) were staged and cardiometabolic status was categorized (HTN only, IGT only, IGT+HTN, neither). Multivariable linear regression modeled associations with cognitive and neuroimaging measures (covariates: age, gender, race). RESULTS MRI was available for 478 participants (35% mild cognitive impairment, 10% dementia) with mean age 70±8 years, 74% with HTN, 61% with IGT, and 15% self-identified as Black/African-American. IGT+HTN was significantly associated with cognitive impairment, higher WM Free Water and WMHv, lower FA, and lower GM perfusion compared to neither factor. HTN alone was associated with poorer cognition and lower GM perfusion. Cardiometabolic factors were not associated with GM macrostructure (volumes, temporal lobe cortical thickness) or cognitive status. CONCLUSION HTN and its co-occurrence with IGT (HTN+IGT) were associated with lower global cognitive performance and reduced GM perfusion and impaired WM microstructure.
Collapse
Affiliation(s)
- Timothy M. Hughes
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Samuel N. Lockhart
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA,Correspondence to: Samuel N. Lockhart, PhD, Wake Forest School of Medicine, Medical Center Blvd. Winston-Salem, NC 27157, USA. Tel.: +1 336 716 8145;
| | - Cynthia K. Suerken
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Youngkyoo Jung
- Department of Radiology, School of Medicine, University of California, Davis, CA, USA
| | | | - James R. Bateman
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Mark A. Espeland
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA,Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Bonnie C. Sachs
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA,Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jeff Williamson
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Maryjo Cleveland
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Mia Yang
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Samantha Rogers
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Kathleen M. Hayden
- Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Laura D. Baker
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Suzanne Craft
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| |
Collapse
|
12
|
Alster P, Dunalska A, Migda B, Madetko N, Królicki L. The Rate of Decrease in Brain Perfusion in Progressive Supranuclear Palsy and Corticobasal Syndrome May Be Impacted by Glycemic Variability-A Pilot Study. Front Neurol 2021; 12:767480. [PMID: 34819913 PMCID: PMC8606811 DOI: 10.3389/fneur.2021.767480] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 10/06/2021] [Indexed: 11/13/2022] Open
Abstract
Progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) are tauopathic parkinsonian syndromes, presently lacking disease-modifying treatments. Patients affected by these diseases suffer due to multidimensional deteriorations resulting in motor and cognitive impairment. Previously published research has confirmed risk factors that may impact the course of PSP and CBS, among them hypertension and diabetes. Less data is available regarding prediabetes and glycemic variability. In this study, 26 patients with clinical diagnoses of PSP and CBS were examined using glycated hemoglobin and perfusion single-photon emission tomography (SPECT). Patients were divided into two groups-PSP/CBS patients with glycated hemoglobin (HbA1c) below and above 5.7%. The results of the perfusion evaluation were compared with the values from healthy volunteers from the software's database. A decrease in perfusion in certain regions of interest was observed among patients affected by increased glycemic variability. A more pronounced decrement in perfusion was observed only in some regions of interest-the hippocampus, pons, left thalamus, right insula. The results indicated that, among PSP/CBS patients, individuals with more pronounced glycemic variability had more severe hypoperfusion in certain brain regions in comparison with PSP/CBS patients without carbohydrate metabolism disorders. Due to the fact that PSP and CBS are associated with cognitive impairment, an additional decrease in perfusion in the hippocampal area may impact the rate of cognitive deterioration.
Collapse
Affiliation(s)
- Piotr Alster
- Department of Neurology, Medical University of Warsaw, Warsaw, Poland
| | - Anna Dunalska
- Students' Scientific Circle of the Department of Neurology, Medical University of Warsaw, Warsaw, Poland
| | - Bartosz Migda
- Diagnostic Ultrasound Lab, Department of Pediatric Radiology, Medical Faculty, Medical University of Warsaw, Warsaw, Poland
| | - Natalia Madetko
- Department of Neurology, Medical University of Warsaw, Warsaw, Poland
| | - Leszek Królicki
- Department of Nuclear Medicine, University Clinical Center, Medical University of Warsaw, Warsaw, Poland
| |
Collapse
|
13
|
Sadrolashrafi K, Craft S, Decourt B, Adem A, Wilson JR, Miller J, Sabbagh MN. Is diabetes associated with increased pathological burden in Alzheimer's disease? ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12248. [PMID: 34796262 PMCID: PMC8579894 DOI: 10.1002/dad2.12248] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 08/04/2021] [Accepted: 08/31/2021] [Indexed: 12/17/2022]
Abstract
INTRODUCTION We examined the association between Alzheimer's disease (AD) and type 2 diabetes mellitus (DM) and hypothesized that diabetes is associated with an increased pathological burden in clinically and pathologically diagnosed AD. METHODS All data were obtained from the Uniform Data Set (UDS) v3, the Neuropathology Data Set, and the Researcher's Data Dictionary-Genetic Data from the National Alzheimer's Coordinating Center. The dataset (37 cases with diabetes and 1158 cases without) relies on autopsy-confirmed data in clinically diagnosed AD patients who were assessed for diabetes type in form A5 or D2 during at least one visit. Differences in scores were explored using a general linear model. Effect sizes were calculated using sample means and standard deviations (Cohen's d). RESULTS The presence of diabetes was associated with a lower Thal phase of amyloid plaques (A score; 4.6 ± 0.79 vs. 4.3 ± 0.85, P < .05) and lower Braak stage for neurofibrillary degeneration (B score; 5.58 ± 0.72 vs. 5.16 ± 0.96, P < 0.05) but not for density of neocortical neuritic plaques (CERAD score-C score). The National Institute on Aging-Alzheimer's Association Alzheimer's disease neuropathologic change (ABC score) was not different between AD+DM and AD-DM. DISCUSSION This pilot study found a significantly lower Thal phase of amyloid plaques and Braak stage for neurofibrillary degeneration in AD-confirmed individuals with diabetes compared to those without. Thus type 2 DM is not associated with increased AD pathology in clinically and pathologically confirmed cases of AD.
Collapse
Affiliation(s)
- Kaviyon Sadrolashrafi
- Cleveland Clinic Lou Ruvo Center for Brain HealthLas VegasNevadaUSA
- Kirk Kerkorian School of Medicineat University of Nevada, Las VegasLas VegasNevadaUSA
| | - Suzanne Craft
- Wake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Boris Decourt
- Cleveland Clinic Lou Ruvo Center for Brain HealthLas VegasNevadaUSA
| | - Abdu Adem
- United Arab Emirates UniversityAl‐AinUnited Arab Emirates
| | - Jeffrey R. Wilson
- Arizona State University W. P. Carey School of BusinessTempeArizonaUSA
| | - Justin Miller
- Cleveland Clinic Lou Ruvo Center for Brain HealthLas VegasNevadaUSA
| | - Marwan N. Sabbagh
- Cleveland Clinic Lou Ruvo Center for Brain HealthLas VegasNevadaUSA
- Barrow Neurological InstitutePhoenixAZ
| |
Collapse
|
14
|
Palta P, Rippon B, Tahmi M, Pardo M, Johnson A, Tomljanovic Z, He H, Laing KK, Razlighi QR, Teresi JA, Moreno H, Brickman AM, Kreisl WC, Luchsinger JA. Sex differences in in vivo tau neuropathology in a multiethnic sample of late middle-aged adults. Neurobiol Aging 2021; 103:109-116. [PMID: 33894641 PMCID: PMC8178209 DOI: 10.1016/j.neurobiolaging.2021.03.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 03/03/2021] [Accepted: 03/13/2021] [Indexed: 10/24/2022]
Abstract
It is unclear whether women have higher brain tau pathology. The objective of this study was to examine whether women have higher tau burden than men, and whether tau differences are independent of amyloid β (Aβ) burden. We conducted a cross-sectional analysis of a multiethnic sample of 252 nondemented late middle-aged (mean age: 64.1 years) adults with tau and amyloid Positron Emission Tomography (PET) data. Tau burden was measured as global standardized uptake value ratio (SUVR) in the middle/inferior temporal gyri and medial temporal cortex with 18F-MK-6240 PET. Aβ was measured as global SUVR with 18F-Florbetaben PET. Women had higher middle/inferior temporal gyri tau SUVR compared to men. However, no sex differences in the medial temporal cortex were observed. Women had higher brain Aβ SUVR compared to men. Continuous Aβ SUVR was positively correlated with medial temporal cortex and middle/inferior temporal gyri tau SUVR. However, there was no evidence of effect modification by Aβ SUVR on sex and tau. Compared with men, women in late middle age show higher tau burden, independent of Aβ.
Collapse
Affiliation(s)
- Priya Palta
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA.
| | - Brady Rippon
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Mouna Tahmi
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Michelle Pardo
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Aubrey Johnson
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Zeljko Tomljanovic
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Hengda He
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Krystal K Laing
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurology, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Qolamreza R Razlighi
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA; Department of Neurology, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Jeanne A Teresi
- Columbia University Stroud Center at New York State Psychiatric Institute, New York, NY and Research Division, Hebrew Home in Riverdale, Bronx, NY, USA
| | - Herman Moreno
- Columbia University Stroud Center at New York State Psychiatric Institute, New York, NY and Research Division, Hebrew Home in Riverdale, Bronx, NY, USA
| | - Adam M Brickman
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA; Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
| | - William C Kreisl
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA; Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurology, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - José A Luchsinger
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA
| |
Collapse
|
15
|
Tahmi M, Rippon B, Palta P, Sherwood G, Hernandez G, Soto L, Ceballos F, Pardo M, Laing K, Igwe K, He H, Teresi JA, Moreno H, Razlighi Q, Brickman AM, Luchsinger JA. In Vivo Amyloid, Neurodegeneration, and Verbal Learning in Late Middle-Aged Hispanics. J Alzheimers Dis 2021; 82:317-325. [PMID: 34024821 DOI: 10.3233/jad-201304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The National Institute on Aging (NIA)/Alzheimer's Association (AA) 2018 framework conceptualizes Alzheimer's disease (AD) biologically. Evidence of brain amyloid by biomarkers defines AD pathologic change and the Alzheimer's continuum. The presence of tau or neurodegeneration in the absence of amyloid defines non-AD pathologic change. OBJECTIVE To examine the relation of in vivo amyloid and neurodegeneration with verbal learning, one of the cognitive abilities affected early in AD, in late middle age. METHODS This was a cross-sectional study of amyloid and neurodegeneration biomarkers in a community-based cohort of 350 late-middle aged Hispanics without dementia (mean age: 64.15±3.34; 72.0%women). Amyloid (A) was measured as global standardized uptake value ratio (SUVR) with 18F-Florbetaben positron emission tomography (PET). Neurodegeneration (N) was ascertained as cortical thickness (CT) in AD signature areas using brain magnetic resonance imaging. We examined A/N continuously, categorically, by A/N profiles, and profile categories. The amyloid threshold for positivity was defined using the K means method. The CT threshold was defined as 2 standard deviations below the mean CT. Verbal learning was ascertained using total recall and delayed recall in the Buschke Selective Reminding test (SRT). RESULTS Higher cortical thickness was associated with higher performance in SRT delayed recall. Amyloid SUVR was not related to SRT performance. The low CT category was associated with lower performance in SRT delayed recall, while Amyloid categories were not related to any SRT score. The non-AD pathologic change group (A-N+) performed worse in SRT delayed recall compared to the Normal A/N profile group (A-N-). CONCLUSION In late middle-aged Hispanics without dementia, non-AD pathologic change, but not the Alzheimer's continuum, was related to verbal learning.
Collapse
Affiliation(s)
- Mouna Tahmi
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Brady Rippon
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Priya Palta
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.,Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA
| | - Greysi Sherwood
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Gabriela Hernandez
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Luisa Soto
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Fernando Ceballos
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Michelle Pardo
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Krystal Laing
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Kay Igwe
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Hengda He
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | | | - Herman Moreno
- Department of Neurology, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | | | - Adam M Brickman
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.,Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.,Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
| | - José A Luchsinger
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.,Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA
| |
Collapse
|
16
|
Makino K, Lee S, Bae S, Chiba I, Harada K, Katayama O, Shinkai Y, Makizako H, Shimada H. Diabetes and Prediabetes Inhibit Reversion from Mild Cognitive Impairment to Normal Cognition. J Am Med Dir Assoc 2021; 22:1912-1918.e2. [PMID: 33798483 DOI: 10.1016/j.jamda.2021.02.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 02/12/2021] [Accepted: 02/19/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVES Diabetes and prediabetes contribute to an increased risk of cognitive decline and dementia. Currently, it remains unclear whether elevated blood HbA1c levels, including prediabetes levels, affect reversion from mild cognitive impairment (MCI) to normal cognition. This study, therefore, aimed to examine the prospective associations of diabetes and prediabetes with reversion from MCI to normal cognition among community-dwelling older adults. DESIGN Longitudinal cohort study with a 4-year follow-up. SETTING AND PARTICIPANTS Community-dwelling older adults with MCI, aged ≥65 years at baseline (n = 787). METHODS Participants' medical history of diabetes and blood HbA1c levels at baseline were assessed, and they were classified as control, prediabetes, and diabetes. Objective cognitive screening was performed using a multicomponent neurocognitive test at baseline and follow-up. Reversion from MCI to normal cognition over 4 years was determined. In the longitudinal analysis, we performed multiple imputations to adjust for a selection bias and loss of information. RESULTS The reversion rates of MCI in the control, prediabetes, and diabetes groups were 63.4%, 55.6%, and 42.9%, respectively, in the completed follow-up dataset, and 54.6%, 47.2%, and 34.1%, respectively, in the imputed dataset. Multivariate logistic regression showed that diabetes decreases the probability of MCI reversion both before and after multiple imputations [odds ratio (OR) 0.37; 95% confidence interval (CI) 0.18-0.74 for before imputation, OR 0.37; 95% CI 0.19-0.72 for after imputation]. Furthermore, prediabetes also showed significantly decreased probabilities of MCI reversion both before and after multiple imputations (OR 0.57; 95% CI 0.34-0.94 for before imputation, OR 0.60; 95% CI 0.37-0.97 for after imputation). CONCLUSIONS AND IMPLICATIONS Diabetes and prediabetes could inhibit MCI reversion. Adequate glycemic control may be effective in enhancing the reversion from MCI to normal cognition in a community setting.
Collapse
Affiliation(s)
- Keitaro Makino
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan; Japan Society for the Promotion of Science, Chiyoda-ku, Tokyo, Japan.
| | - Sangyoon Lee
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Seongryu Bae
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Ippei Chiba
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Kenji Harada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Osamu Katayama
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Yohei Shinkai
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| | - Hyuma Makizako
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan; Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Hiroyuki Shimada
- Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan
| |
Collapse
|
17
|
Carranza-Naval MJ, Vargas-Soria M, Hierro-Bujalance C, Baena-Nieto G, Garcia-Alloza M, Infante-Garcia C, del Marco A. Alzheimer's Disease and Diabetes: Role of Diet, Microbiota and Inflammation in Preclinical Models. Biomolecules 2021; 11:biom11020262. [PMID: 33578998 PMCID: PMC7916805 DOI: 10.3390/biom11020262] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 02/05/2021] [Accepted: 02/05/2021] [Indexed: 02/06/2023] Open
Abstract
Alzheimer's disease (AD) is the most common cause of dementia. Epidemiological studies show the association between AD and type 2 diabetes (T2DM), although the mechanisms are not fully understood. Dietary habits and lifestyle, that are risk factors in both diseases, strongly modulate gut microbiota composition. Also, the brain-gut axis plays a relevant role in AD, diabetes and inflammation, through products of bacterial metabolism, like short-chain fatty acids. We provide a comprehensive review of current literature on the relation between dysbiosis, altered inflammatory cytokines profile and microglia in preclinical models of AD, T2DM and models that reproduce both diseases as commonly observed in the clinic. Increased proinflammatory cytokines, such as IL-1β and TNF-α, are widely detected. Microbiome analysis shows alterations in Actinobacteria, Bacteroidetes or Firmicutes phyla, among others. Altered α- and β-diversity is observed in mice depending on genotype, gender and age; therefore, alterations in bacteria taxa highly depend on the models and approaches. We also review the use of pre- and probiotic supplements, that by favoring a healthy microbiome ameliorate AD and T2DM pathologies. Whereas extensive studies have been carried out, further research would be necessary to fully understand the relation between diet, microbiome and inflammation in AD and T2DM.
Collapse
Affiliation(s)
- Maria Jose Carranza-Naval
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
- Salus Infirmorum, Universidad de Cadiz, 11005 Cadiz, Spain
| | - Maria Vargas-Soria
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
| | - Carmen Hierro-Bujalance
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
| | - Gloria Baena-Nieto
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
- Department of Endocrinology, Jerez Hospital, Jerez de la Frontera, 11407 Cadiz, Spain
| | - Monica Garcia-Alloza
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
| | - Carmen Infante-Garcia
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
- Correspondence: (C.I.-G.); (A.d.M.)
| | - Angel del Marco
- Division of Physiology, School of Medicine, Universidad de Cadiz, 11003 Cadiz, Spain; (M.J.C.-N.); (M.V.-S.); (C.H.-B.); (M.G.-A.)
- Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA), 11009 Cadiz, Spain;
- Correspondence: (C.I.-G.); (A.d.M.)
| |
Collapse
|
18
|
Oveisgharan S, Capuano AW, Kapasi A, Buchman AS, Schneider JA, Bennett DA, Arvanitakis Z. Association of Low Systolic Blood Pressure with Postmortem Amyloid-β and Tau. J Alzheimers Dis 2020; 78:1755-1764. [PMID: 33185594 DOI: 10.3233/jad-200412] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
BACKGROUND Vascular mechanisms may contribute to the accumulation of AD pathology. OBJECTIVE We examined whether the burden of vascular risk factors proximate to death is associated with amyloid-β and tau levels or modified their known association. METHODS We examined the brains of 1, 585 participants from two longitudinal community-based studies of older adults. Amyloid-β and tau were quantified by postmortem examination. The burden of vascular risk factors was summarized by calculating the Framingham general cardiovascular risk score (FRS) proximate to death. Using linear regressions, we examined the association of the FRS with the amyloid-β and tau levels and examined if the FRS modified the association of the amyloid-β with tau. RESULTS On average, participants were nearly 90 years old and two-thirds were women. The FRS was not associated with amyloid-β (Spearman r = -0.00, p = 0.918) or tau (r = 0.01, p = 0.701). However, the FRS as a whole (estimate = -0.022, SE = 0.008, p = 0.009), and specifically the systolic blood pressure (SBP) component (estimate = -0.033, SE = 0.012, p = 0.009), modified the association of the amyloid-β with tau. Further analysis showed that the association between amyloid-β and tau was stronger at lower levels of SBP. CONCLUSION Late-life vascular risk scores were not related to postmortem levels of amyloid-β or tau. However, lower levels of vascular risk scores and SBP were associated with a stronger association between amyloid-β and tau. These data suggest that vascular risk factors may modify the relation of AD pathology markers to one another.
Collapse
Affiliation(s)
- Shahram Oveisgharan
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Alifiya Kapasi
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Aron S Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.,Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Zoe Arvanitakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| |
Collapse
|
19
|
Tahmi M, Rippon B, Palta P, Soto L, Ceballos F, Pardo M, Sherwood G, Hernandez G, Arevalo R, He H, Sedaghat A, Arabshahi S, Teresi J, Moreno H, Brickman AM, Razlighi QR, Luchsinger JA. Brain Amyloid Burden and Resting-State Functional Connectivity in Late Middle-Aged Hispanics. Front Neurol 2020; 11:529930. [PMID: 33123070 PMCID: PMC7573129 DOI: 10.3389/fneur.2020.529930] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 09/02/2020] [Indexed: 01/26/2023] Open
Abstract
Non-linear relations of brain amyloid beta (Aβ) with task- based functional connectivity (tbFC) measured with functional magnetic resonance imaging (fMRI) have been reported in late middle age. Our objective was to examine the association between brain Aβ and resting-state functional connectivity (rsFC) in late middle-aged adults. Global brain Aβ burden was ascertained with 18F-Florbetaben Positron Emission Tomography (PET); rsFC was ascertained on 3T Magnetic Resonance Imaging (MRI) among 333 late middle-aged Hispanics adults without dementia in four major brain functional connectivity networks: default mode network (DMN), fronto-parietal control network (FPC), salience network (SAL) and dorsal attention network (DAN). We examined the relationship of global brain Aβ with rsFC using multivariable linear regression adjusted for age, sex, education, and APOE-ε4 genotype. We quantified the non-linear associations both with quadratic terms and by categorizing Aβ into three groups: low Aβ, intermediate Aβ, and positive Aβ. We found no significant linear or non-linear associations between Aβ, measured either continuously or categorically, with rsFC in the examined networks. Our null findings may be explained by the younger age of our participants in whom amyloid burden is relatively low. It is also possible that the recently reported non-linear relationship is exclusive to task fMRI and not rsfMRI.
Collapse
Affiliation(s)
- Mouna Tahmi
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
| | - Brady Rippon
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
| | - Priya Palta
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
- Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, United States
| | - Luisa Soto
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
| | - Fernando Ceballos
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
| | - Michelle Pardo
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
| | - Greysi Sherwood
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
| | - Gabriela Hernandez
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
| | - Rodolfo Arevalo
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
| | - Hengda He
- Department of Biomedical Engineering, Columbia University, New York, NY, United States
| | - Amirreza Sedaghat
- Department of Biomedical Engineering, Columbia University, New York, NY, United States
| | - Soroush Arabshahi
- Department of Biomedical Engineering, Columbia University, New York, NY, United States
| | - Jeanne Teresi
- Research Division, Hebrew Home in Riverdale, Bronx, NY, United States
| | - Herman Moreno
- Departments of Neurology and Physiology/Pharmacology, The Robert F. Furchgott Center for Neural and Behavioral Science, SUNY Downstate Medical Center, New York, NY, United States
- Kings County Hospital Neurology, New York, NYUnited States
| | - Adam M. Brickman
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, United States
- Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, United States
| | | | - José A. Luchsinger
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States
- Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, United States
| |
Collapse
|