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Zhu W, Zhang H, Niu T, Liu K, Fareeduddin Mohammed Farooqui H, Sun R, Chen X, Yuan Y, Wang S. Microglial SCAP deficiency protects against diabetes-associated cognitive impairment through inhibiting NLRP3 inflammasome-mediated neuroinflammation. Brain Behav Immun 2024; 119:154-170. [PMID: 38570101 DOI: 10.1016/j.bbi.2024.03.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 03/25/2024] [Accepted: 03/30/2024] [Indexed: 04/05/2024] Open
Abstract
Hyperglycemia-induced pathological microglial responses and subsequent neuronal damage are notable characteristics of diabetes-associated cognitive impairment (DACI). Cholesterol accumulation in the brain is a prevalent consequence of diabetes mellitus (DM), exacerbating pathological microglial responses. Regarding disordered glucose and lipid metabolism, the Sterol Regulatory Element-Binding Protein (SREBP) cleavage-activating protein (SCAP), a cholesterol sensor, exhibits increased expression and abnormal translocation from the endoplasmic reticulum to the Golgi, amplifying the inflammatory response. Therefore, we hypothesized that overexpression of microglia-SCAP and cholesterol accumulation in DM mice could induce pathological microglial responses associated with DACI. Our type 2 DM mice model presented an abnormal increase in microglial SCAP expression. The functional loss of microglia-specific SCAP in DM mice improved cognitive impairment, neuronal synaptic plasticity deficits, and abnormal microglial responses. Mechanistically, the accumulated SCAP directly bound to and enhanced the activation of the microglial-specific inflammatory amplifier, NLRP3 inflammasome, in Golgi, thereby increasing pathological microglial responses and promoting neuronal damage. These findings indicate an important regulatory axis of microglial responses from SCAP to the NLRP3 inflammasome pathway in microglia. These underscore the crosstalk between cholesterol disorders and pathological microglial responses, offering a promising avenue for pharmaceutical interventions in DACI.
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Affiliation(s)
- Wenwen Zhu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Haoqiang Zhang
- Department of Endocrinology, Center for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Tong Niu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Kunyu Liu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Huzaifa Fareeduddin Mohammed Farooqui
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Ruoyu Sun
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Xiu Chen
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Yang Yuan
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China.
| | - Shaohua Wang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China.
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Chang YM, Lee CL, Wang JS. Sex Disparity in the Association of Metabolic Syndrome with Cognitive Impairment. J Clin Med 2024; 13:2571. [PMID: 38731099 PMCID: PMC11084366 DOI: 10.3390/jcm13092571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 04/21/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
Background/Objectives: Metabolic syndrome (MS) is a constellation of several cardiometabolic risk factors. We investigated sex disparity in the associations between MS and cognitive impairment using cross-sectional data from Taiwan Biobank. Methods: We determined the associations of MS and its five components with cognitive impairment (mini-mental state examination, MMSE < 24) and the five domains of MMSE using logistic regression analyses. Results: A total of 7399 men and 11,546 women were included, and MS was significantly associated with cognitive impairment only in women (adjusted OR 1.48, 95% CI 1.29-1.71, p = 0.001) (p for interaction 0.005). In women, the association with MS was significant in orientation (adjusted OR 1.21, 95% CI 1.07-1.37, p = 0.003), memory (adjusted OR 1.12, 95% CI 1.01-1.25, p = 0.034) and design copying (adjusted OR 1.41, 95% CI 1.23-1.62, p = 0.001) (p value for interaction 0.039, 0.023, and 0.093, respectively). Among the components of MS, a large waist circumference (adjusted OR 1.25, 95% CI 1.08-1.46, p = 0.003), high fasting glucose (adjusted OR 1.16, 95% CI 1.00-1.34, p = 0.046), and low HDL cholesterol (adjusted OR 1.16, 95% CI 1.00-1.34, p = 0.049) were significantly associated with cognitive impairment in women. Conclusions: Our findings suggest that sex has a significant influence on the association between MS and cognitive dysfunction, especially in orientation and memory.
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Affiliation(s)
- Yi-Min Chang
- Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan;
| | - Chia-Lin Lee
- Intelligent Data Mining Laboratory, Department of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan;
- Department of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, No. 1650, Sec. 4, Taiwan Boulevard, Taichung 407219, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan
| | - Jun-Sing Wang
- Department of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, No. 1650, Sec. 4, Taiwan Boulevard, Taichung 407219, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan
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Zhang W, Fu L, Bi Y, Liu J, Li X, Zhang X, Zhang Z, Miao Y, Cheng H, Zhang B. Large-scale functional network connectivity mediates the associations between lipids metabolism and cognition in type 2 diabetes. J Cereb Blood Flow Metab 2024; 44:384-396. [PMID: 37795619 PMCID: PMC10870959 DOI: 10.1177/0271678x231204426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/06/2023] [Accepted: 09/04/2023] [Indexed: 10/06/2023]
Abstract
Type 2 diabetes (T2D) is associated with dyslipidemia and mild cognitive impairment. This study investigated the relationships between serum lipids metabolism, cognition, and functional connectivity (FC) within and between brain networks in T2D patients. The study included 102 T2D patients and 45 healthy controls who underwent functional magnetic resonance imaging, lipid profile tests, and cognitive assessments. Thirteen functional networks were identified using independent component analysis. The statistical analyses included multivariate analysis of covariance, partial correlation, canonical correlation, and mediation analyses. We found widely reduced between-network FCs in T2D, especially between the ventral sensorimotor network (SMN) and dorsal attention network (DAN) (p = 0.001) and between the ventral SMN and lateral visual network (VN) (p < 0.001). Moreover, lower between-network FCs were correlated with worse serum lipids metabolism and poorer cognitive performance (all p < 0.05). Importantly, between-network FCs mediated the relationship between lipid metabolism and cognition (β = -0.3136, 95% CI: -0.7660, -0.0186). Within-network analyses revealed altered FCs within the anterior default mode network, DAN, and lateral VN, each positively correlated with global cognition (all p < 0.01). Our results suggest the potential of improving cognitive function by regulating serum lipids in individuals with T2D.
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Affiliation(s)
- Wen Zhang
- Department of Radiology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
- Medical Imaging Center, the Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Linqing Fu
- Department of Radiology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yan Bi
- Department of Endocrinology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Jiani Liu
- Department of Radiology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Xin Li
- Department of Radiology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Xin Zhang
- Department of Radiology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
- Medical Imaging Center, the Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Zhou Zhang
- Department of Endocrinology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yingwen Miao
- Department of Endocrinology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Haiyan Cheng
- Department of Endocrinology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Bing Zhang
- Department of Radiology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
- Medical Imaging Center, the Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Institute of Brain Science, Nanjing University, Nanjing, China
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Mao Z, Gao ZX, Ji T, Huan S, Yin GP, Chen L. Bidirectional two-sample mendelian randomization analysis identifies causal associations of MRI-based cortical thickness and surface area relation to NAFLD. Lipids Health Dis 2024; 23:58. [PMID: 38395962 PMCID: PMC10885469 DOI: 10.1186/s12944-024-02043-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) patients have exhibited extra-hepatic neurological changes, but the causes and mechanisms remain unclear. This study investigates the causal effect of NAFLD on cortical structure through bidirectional two-sample Mendelian randomization analysis. METHODS Genetic data from 778,614 European individuals across four NAFLD studies were used to determine genetically predicted NAFLD. Abdominal MRI scans from 32,860 UK Biobank participants were utilized to evaluate genetically predicted liver fat and volume. Data from the ENIGMA Consortium, comprising 51,665 patients, were used to evaluate the associations between genetic susceptibility, NAFLD risk, liver fat, liver volume, and alterations in cortical thickness (TH) and surface area (SA). Inverse-variance weighted (IVW) estimation, Cochran Q, and MR-Egger were employed to assess heterogeneity and pleiotropy. RESULTS Overall, NAFLD did not significantly affect cortical SA or TH. However, potential associations were noted under global weighting, relating heightened NAFLD risk to reduced parahippocampal SA and decreased cortical TH in the caudal middle frontal, cuneus, lingual, and parstriangularis regions. Liver fat and volume also influenced the cortical structure of certain regions, although no Bonferroni-adjusted p-values reached significance. Two-step MR analysis revealed that liver fat, AST, and LDL levels mediated the impact of NAFLD on cortical structure. Multivariable MR analysis suggested that the impact of NAFLD on the cortical TH of lingual and parstriangularis was independent of BMI, obesity, hyperlipidemia, and diabetes. CONCLUSION This study provides evidence that NAFLD causally influences the cortical structure of the brain, suggesting the existence of a liver-brain axis in the development of NAFLD.
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Affiliation(s)
- Zun Mao
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing, 210023, P. R. China
| | - Zhi-Xiang Gao
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing, 210023, P. R. China
| | - Tong Ji
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing, 210023, P. R. China
| | - Sheng Huan
- Department of Anesthesiology and Perioperative Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210000, P. R. China
| | - Guo-Ping Yin
- Department of Anesthesiology, Nanjing Second Hospital, Nanjing, 210000, P. R. China.
| | - Long Chen
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing, 210023, P. R. China.
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Li X, Zhang W, Bi Y, Chen J, Fu L, Zhang Z, Chen Q, Zhang X, Zhu Z, Zhang B. Non-alcoholic fatty liver disease is associated with brain function disruption in type 2 diabetes patients without cognitive impairment. Diabetes Obes Metab 2024; 26:650-662. [PMID: 37961040 DOI: 10.1111/dom.15354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/15/2023] [Accepted: 10/16/2023] [Indexed: 11/15/2023]
Abstract
AIMS To investigate the neural static and dynamic intrinsic activity of intra-/inter-network topology among patients with type 2 diabetes (T2D) with non-alcoholic fatty liver disease (NAFLD) and those without NAFLD (T2NAFLD group and T2noNAFLD group, respectively) and to assess the relationship with metabolism. METHODS Fifty-six patients with T2NAFLD, 78 with T2noNAFLD, and 55 healthy controls (HCs) were recruited to the study. Participants had normal cognition and underwent functional magnetic resonance imaging scans, clinical measurements, and global cognition evaluation. Independent component analysis was used to identify frequency spectrum parameters, static functional network connectivity, and temporal properties of dynamic functional network connectivity (P < 0.05, false discovery rate-corrected). Statistical analysis involved one-way analysis of covariance with post hoc, partial correlation and canonical correlation analyses. RESULTS Our findings showed that: (i) T2NAFLD patients had more disordered glucose and lipid metabolism, had more severe insulin resistance, and were more obese than T2noNAFLD patients; (ii) T2D patients exhibited disrupted brain function, as evidenced by alterations in intra-/inter-network topology, even without clinically measurable cognitive impairment; (iii) T2NAFLD patients had more significant reductions in the frequency spectrum parameters of cognitive executive and visual networks than those with T2noNAFLD; and (iv) altered brain function in T2D patients was correlated with postprandial glucose, high-density lipoprotein cholesterol, and waist-hip ratio. CONCLUSION This study may provide novel insights into neuroimaging correlates for underlying pathophysiological processes inducing brain damage in T2NAFLD. Thus, controlling blood glucose levels, lipid levels and abdominal obesity may reduce brain damage risk in such patients.
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Affiliation(s)
- Xin Li
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Wen Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Medical Imaging Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Yan Bi
- Department of Endocrinology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Jiu Chen
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Medical Imaging Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Linqing Fu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Zhou Zhang
- Department of Endocrinology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Qian Chen
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Medical Imaging Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Xin Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Medical Imaging Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
| | - Zhengyang Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Bing Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Medical Imaging Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Institute of Brain Science, Nanjing University, Nanjing, China
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Pérez-Cervera L, De Santis S, Marcos E, Ghorbanzad-Ghaziany Z, Trouvé-Carpena A, Selim MK, Pérez-Ramírez Ú, Pfarr S, Bach P, Halli P, Kiefer F, Moratal D, Kirsch P, Sommer WH, Canals S. Alcohol-induced damage to the fimbria/fornix reduces hippocampal-prefrontal cortex connection during early abstinence. Acta Neuropathol Commun 2023; 11:101. [PMID: 37344865 PMCID: PMC10286362 DOI: 10.1186/s40478-023-01597-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 05/30/2023] [Indexed: 06/23/2023] Open
Abstract
INTRODUCTION Alcohol dependence is characterized by a gradual reduction in cognitive control and inflexibility to contingency changes. The neuroadaptations underlying this aberrant behavior are poorly understood. Using an animal model of alcohol use disorders (AUD) and complementing diffusion-weighted (dw)-MRI with quantitative immunohistochemistry and electrophysiological recordings, we provide causal evidence that chronic intermittent alcohol exposure affects the microstructural integrity of the fimbria/fornix, decreasing myelin basic protein content, and reducing the effective communication from the hippocampus (HC) to the prefrontal cortex (PFC). Using a simple quantitative neural network model, we show how disturbed HC-PFC communication may impede the extinction of maladaptive memories, decreasing flexibility. Finally, combining dw-MRI and psychometric data in AUD patients, we discovered an association between the magnitude of microstructural alteration in the fimbria/fornix and the reduction in cognitive flexibility. Overall, these findings highlight the vulnerability of the fimbria/fornix microstructure in AUD and its potential contribution to alcohol pathophysiology. Fimbria vulnerability to alcohol underlies hippocampal-prefrontal cortex dysfunction and correlates with cognitive impairment.
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Affiliation(s)
- Laura Pérez-Cervera
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Silvia De Santis
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Encarni Marcos
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Zahra Ghorbanzad-Ghaziany
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
- Radiation Science and Biomedical Imaging, University of Sherbrooke, Sherbrooke, Québec, Canada
| | - Alejandro Trouvé-Carpena
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Mohamed Kotb Selim
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Úrsula Pérez-Ramírez
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain
| | - Simone Pfarr
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Patrick Bach
- Department of Addiction Medicine, Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Patrick Halli
- Department of Psychology, University of Heidelberg, Heidelberg, Germany
| | - Falk Kiefer
- Department of Addiction Medicine, Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - David Moratal
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain
| | - Peter Kirsch
- Department of Psychology, University of Heidelberg, Heidelberg, Germany
| | - Wolfgang H Sommer
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical faculty Mannheim, University of Heidelberg, Mannheim, Germany.
- Department of Addiction Medicine, Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany.
| | - Santiago Canals
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain.
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Quantitative NMR-Based Lipoprotein Analysis Identifies Elevated HDL-4 and Triglycerides in the Serum of Alzheimer’s Disease Patients. Int J Mol Sci 2022; 23:ijms232012472. [PMID: 36293327 PMCID: PMC9604278 DOI: 10.3390/ijms232012472] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/30/2022] [Accepted: 10/08/2022] [Indexed: 11/17/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common form of dementia in the elderly and has been associated with changes in lipoprotein metabolism. We performed quantitative lipoprotein analysis in a local cohort of cognitively impaired elderly and control subjects using standardized nuclear magnetic resonance (NMR) spectroscopy. A commercially available quantitative NMR-based assay covering 112 lipoprotein main and subtype variables was used to investigate blood serum samples from a moderate cohort size of 161 persons (71 female, 90 male), including measures of quality control. Additionally, clinical metadata and cerebrospinal fluid AD biomarkers were collected and used for analysis. High-density lipoprotein (HDL) HDL-4 subfraction levels were mostly high in female individuals with mild cognitive impairment (MCI), followed by AD. Low-density lipoprotein (LDL) LDL-2 cholesterol was slightly elevated in male AD patients. HDL-2 apolipoprotein Apo-A1, HDL-2 phospholipids, and HDL-3 triglycerides were highly abundant in AD and MCI women compared to men. When considering clinical biomarkers (Aβ, tau), very low-density lipoprotein (VLDL) VLDL-1 and intermediate-density lipoprotein (IDL) triglycerides were substantially higher in AD compared to MCI. In addition, triglyceride levels correlated positively with dementia. Different lipoprotein serum patterns were identified for AD, MCI, and control subjects. Interestingly, HDL-4 and LDL-2 cholesterol parameters revealed strong gender-specific changes in the context of AD-driven dementia. As gender-based comparisons were based on smaller sub-groups with a low n-number, several statistical findings did not meet the significance threshold for multiple comparisons testing. Still, our finding suggests that serum HDL-4 parameters and various triglycerides correlate positively with AD pathology which could be a read-out of extended lipids traveling through the blood-brain barrier, supporting amyloid plaque formation processes. Thereof, we see herein a proof of concept that this quantitative NMR-based lipoprotein assay can generate important and highly interesting data for refined AD diagnosis and patient stratification, especially when larger cohorts are available.
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Meng J, Liu J, Li H, Gao Y, Cao L, He Y, Guo Y, Feng L, Hu X, Li H, Zhang C, He W, Wu Y, Huang X. Impairments in intrinsic functional networks in type 2 diabetes: A meta-analysis of resting-state functional connectivity. Front Neuroendocrinol 2022; 66:100992. [PMID: 35278579 DOI: 10.1016/j.yfrne.2022.100992] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 02/05/2022] [Accepted: 02/28/2022] [Indexed: 12/27/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is associated with abnormal communication among large-scale brain networks, revealed by resting-state functional connectivity (rsFC), with inconsistent results between studies. We performed a meta-analysis of seed-based rsFC studies to identify consistent network connectivity alterations. Thirty-three datasets from 30 studies (1014 T2DM patients and 902 healthy controls [HC]) were included. Seed coordinates and between-group effects were extracted, and the seeds were divided into networks based on their location. Compared to HC, T2DM patients showed hyperconnectivity and hypoconnectivity within the DMN, DMN hypoconnectivity with the affective network (AN), ventral attention network (VAN) and frontal parietal network, and DMN hyperconnectivity with the VAN and visual network. T2DM patients also showed AN hypoconnectivity with the somatomotor network and hyperconnectivity with the VAN. T2DM illness durations negatively correlated with within-DMN rsFC. These DMN-centered impairments in large-scale brain networks in T2DM patients may help to explain the cognitive deficits associated with T2DM.
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Affiliation(s)
- Jinli Meng
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Psychoradiology Research Unit of the Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan, China; Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital. C.T.), No. 20, Xi Mian Qiao Heng Jie, Wuhou District, Chengdu, Sichuan, China
| | - Jing Liu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Psychoradiology Research Unit of the Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Psychoradiology Research Unit of the Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Psychoradiology Research Unit of the Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Lingxiao Cao
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Psychoradiology Research Unit of the Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yuanyuan He
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital. C.T.), No. 20, Xi Mian Qiao Heng Jie, Wuhou District, Chengdu, Sichuan, China
| | - Yongyue Guo
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital. C.T.), No. 20, Xi Mian Qiao Heng Jie, Wuhou District, Chengdu, Sichuan, China
| | - Li Feng
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital. C.T.), No. 20, Xi Mian Qiao Heng Jie, Wuhou District, Chengdu, Sichuan, China
| | - Xin Hu
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital. C.T.), No. 20, Xi Mian Qiao Heng Jie, Wuhou District, Chengdu, Sichuan, China
| | - Hengyan Li
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital. C.T.), No. 20, Xi Mian Qiao Heng Jie, Wuhou District, Chengdu, Sichuan, China
| | - Chenghui Zhang
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital. C.T.), No. 20, Xi Mian Qiao Heng Jie, Wuhou District, Chengdu, Sichuan, China
| | - Wanlin He
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital. C.T.), No. 20, Xi Mian Qiao Heng Jie, Wuhou District, Chengdu, Sichuan, China
| | - Yunhong Wu
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital. C.T.), No. 20, Xi Mian Qiao Heng Jie, Wuhou District, Chengdu, Sichuan, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Psychoradiology Research Unit of the Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
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9
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Chau ACM, Smith AE, Hordacre B, Kumar S, Cheung EYW, Mak HKF. A scoping review of resting-state brain functional alterations in Type 2 diabetes. Front Neuroendocrinol 2022; 65:100970. [PMID: 34922997 DOI: 10.1016/j.yfrne.2021.100970] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 11/18/2021] [Accepted: 12/07/2021] [Indexed: 11/28/2022]
Abstract
Resting-state functional magnetic resonance imaging (rs-fMRI) has been actively used in the last decade to investigate brain functional connectivity alterations in Type 2 Diabetes Mellitus (T2DM) to understand the neuropathophysiology of T2DM in cognitive degeneration. Given the emergence of new analysis techniques, this scoping review aims to map the rs-fMRI analysis techniques that have been applied in the literature and reports the latest rs-fMRI findings that have not been covered in previous reviews. Graph theory, the contemporary rs-fMRI analysis, has been used to demonstrate altered brain topological organisations in people with T2DM, which included altered degree centrality, functional connectivity strength, the small-world architecture and network-based statistics. These alterations were correlated with T2DM patients' cognitive performances. Graph theory also contributes to identify unbiased seeds for seed-based analysis. The expanding rs-fMRI analytical approaches continue to provide new evidence that helps to understand the mechanisms of T2DM-related cognitive degeneration.
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Affiliation(s)
- Anson C M Chau
- Medical Imaging, Medical Radiation Science, Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
| | - Ashleigh E Smith
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
| | - Brenton Hordacre
- IIMPACT in Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
| | - Saravana Kumar
- IIMPACT in Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
| | - Eva Y W Cheung
- School of Medical and Health Sciences, Tung Wah College, Hong Kong.
| | - Henry K F Mak
- Department of Diagnostic Radiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong; Alzheimer's Disease Research Network, The University of Hong Kong, Hong Kong; State Key Laboratory for Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.
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10
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Zhang H, Zhu W, Niu T, Wang Z, An K, Cao W, Shi J, Wang S. Inverted U-shaped correlation between serum low-density lipoprotein cholesterol levels and cognitive functions of patients with type 2 diabetes mellitus. Lipids Health Dis 2021; 20:103. [PMID: 34511118 PMCID: PMC8436464 DOI: 10.1186/s12944-021-01534-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 08/30/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Low-density lipoprotein cholesterol (LDL-C) metabolic disorder is common in individuals with diabetes. The role of LDL-C in mild cognitive impairment (MCI) remains to be explored. We aim to investigate the associations between LDL-C at different levels and details of cognition decline in patients with type 2 diabetes mellitus (T2DM). METHODS Patients with T2DM (n = 497) were recruited. Clinical parameters and neuropsychological tests were compared between patients with MCI and controls. Goodness of fit was assessed to determine the linear or U-shaped relationship between LDL-C and cognitive function. The cut-off point of LDL-C was calculated. Correlation and regression were carried out to explore the relationship between cognitive dysfunction and LDL-C levels above and below the cut-off point. RESULTS Although no significant difference in LDL-C levels was detected in 235 patients with MCI, compared with 262 patients without MCI, inverted-U-shaped association was determined between LDL-C and Montreal Cognitive Assessment (MoCA). The cut-off point of LDL-C is 2.686 mmol/l. LDL-C (>2.686 mmol/l) is positively related to Trail Making Test B (TMTB) indicating executive function. LDL-C (<2.686 mmol/l) is positively associated with Clock Drawing Test (CDT) reflecting visual space function in patients with T2DM. CONCLUSION Inverted U-shaped correlation was found between serum LDL-C and cognitive function in patients with T2DM. Despite that the mechanisms of different LDL-C levels involved in special cognitive dysfunctions remain incompletely clarified, excessive LDL-C damages executive function, while the deficient LDL-C impairs visual space function. TRIAL REGISTRATION ChiCTR-OCC-15006060 .
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Affiliation(s)
- Haoqiang Zhang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Wenwen Zhu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Tong Niu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Zheng Wang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Ke An
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Wuyou Cao
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Jijing Shi
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Shaohua Wang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China. .,School of Medicine, Southeast University, Nanjing, 210009, PR China.
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11
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Rashid B, Poole VN, Fortenbaugh FC, Esterman M, Milberg WP, McGlinchey RE, Salat DH, Leritz EC. Association between metabolic syndrome and resting-state functional brain connectivity. Neurobiol Aging 2021; 104:1-9. [PMID: 33951557 PMCID: PMC8225583 DOI: 10.1016/j.neurobiolaging.2021.03.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 03/18/2021] [Accepted: 03/24/2021] [Indexed: 01/01/2023]
Abstract
The objective of this study is to examine whether metabolic syndrome (MetS), the clustering of 3 or more cardiovascular risk factors, disrupts the resting-state functional connectivity (FC) of the large-scale cortical brain networks. Resting-state functional magnetic resonance imaging data were collected from seventy-eight middle-aged and older adults living with and without MetS (27 MetS; 51 non-MetS). FC maps were derived from the time series of intrinsic activity in the large-scale brain networks by correlating the spatially averaged time series with all brain voxels using a whole-brain seed-based FC approach. Participants with MetS showed hyperconnectivity across the core brain regions with evidence of loss of modularity when compared with non-MetS individuals. Furthermore, patterns of higher between-network MetS-related effects were observed across most of the seed regions in both right and left hemispheres. These findings indicate that MetS is associated with altered intrinsic communication across core neural networks and disrupted between-network connections across the brain due to the co-occurring vascular risk factors in MetS.
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Affiliation(s)
- Barnaly Rashid
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; The Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA.
| | - Victoria N Poole
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Francesca C Fortenbaugh
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Michael Esterman
- National Center for PTSD, VA Boston Healthcare System, Boston, MA; Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA; Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - William P Milberg
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Regina E McGlinchey
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - David H Salat
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; The Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA
| | - Elizabeth C Leritz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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12
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The CC Genotype of Insulin-Induced Gene 2 rs7566605 Is a Protective Factor of Hypercholesteremia Susceptible to Mild Cognitive Impairment, Especially to the Executive Function of Patients with Type 2 Diabetes Mellitus. BIOMED RESEARCH INTERNATIONAL 2021; 2020:4935831. [PMID: 32596317 PMCID: PMC7303749 DOI: 10.1155/2020/4935831] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 04/04/2020] [Accepted: 05/28/2020] [Indexed: 01/05/2023]
Abstract
Methods 233 T2DM patients with MCI or without MCI were recruited. Baseline data and genotype frequency were compared between MCI and non-MCI groups. Demographic parameters and neuropsychological tests results were analyzed among patients with different genotypes. Further correlation and regression analysis were conducted to find the association between cognition and cholesterol. Results Despite no significant statistical difference was detected, we observed higher levels of total cholesterol (TC) and low-density lipoprotein cholesterol (LDL) in patients with MCI than those without MCI. In addition, we observed higher TC and LDL levels in patients with GG or GC genotypes than those with CC genotype (P < 0.001, P = 0.004, or P < 0.001, P = 0.002). Interestingly, increased MoCA and decreased TMTB scores were found in patients with CC genotype, compared to those with GG or CG genotype (P = 0.009, P = 0.024, or P = 0.005, P = 0.109). Moreover, partial correlation (P = 0.030 and P = 0.004, respectively) and multiple linear regression (P = 0.030 and P = 0.005, respectively) showed that TC and LDL levels are associated with the TMTB score, indicating the executive function. Conclusions CC genotype of INSIG-2 rs7566605 may be a protective factor of hypercholesteremia susceptible to MCI, especially to the executive function of T2DM. This trial is registered with ChiCTROCC15006060.
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13
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Köbe T, Binette AP, Vogel JW, Meyer PF, Breitner JCS, Poirier J, Villeneuve S. Vascular risk factors are associated with a decline in resting-state functional connectivity in cognitively unimpaired individuals at risk for Alzheimer's disease: Vascular risk factors and functional connectivity changes. Neuroimage 2021; 231:117832. [PMID: 33549747 DOI: 10.1016/j.neuroimage.2021.117832] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/25/2021] [Accepted: 01/27/2021] [Indexed: 12/12/2022] Open
Abstract
Resting-state functional connectivity is suggested to be cross-sectionally associated with both vascular burden and Alzheimer's disease (AD) pathology. However, evidence is lacking regarding longitudinal changes in functional connectivity. This study includes 247 cognitively unimpaired individuals with a family history of sporadic AD (185 women/ 62 men; mean [SD] age of 63 [5.3] years). Plasma total-, HDL-, and LDL-cholesterol and systolic and diastolic blood pressure were measured at baseline. Global (whole-brain) brain functional connectivity and connectivity from canonical functional networks were computed from resting-state functional MRI obtained at baseline and ~3.5 years of annual follow-ups, using a predefined functional parcellation. A subsample underwent Aβ- and tau-PET (n=91). Linear mixed-effects models demonstrated that global functional connectivity increased over time across the entire sample. In contrast, higher total-cholesterol and LDL-cholesterol levels were associated with greater reduction of functional connectivity in the default-mode network over time. In addition, higher diastolic blood pressure was associated with global functional connectivity reduction. The associations were similar when the analyses were repeated using two other functional brain parcellations. Aβ and tau deposition in the brain were not associated with changes in functional connectivity over time in the subsample. These findings provide evidence that vascular burden is associated with a decrease in functional connectivity over time in older adults with elevated risk for AD. Future studies are needed to determine if the impact of vascular risk factors on functional brain changes precede the impact of AD pathology on functional brain changes.
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Affiliation(s)
- Theresa Köbe
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada; German Center for Neurodegenerative Diseases (DZNE), 01307, Dresden, Germany.
| | - Alexa Pichet Binette
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada
| | - Jacob W Vogel
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Pierre-François Meyer
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada
| | - John C S Breitner
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada
| | - Judes Poirier
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada
| | - Sylvia Villeneuve
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada; Department of Neurology and Neurosurgery, McGill University, H3A 2B4, Montreal, Quebec, Canada.
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14
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Large-Scale Internetwork Functional Connectivity Mediates the Relationship between Serum Triglyceride and Working Memory in Young Adulthood. Neural Plast 2020; 2020:8894868. [PMID: 33204252 PMCID: PMC7652625 DOI: 10.1155/2020/8894868] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 10/16/2020] [Accepted: 10/21/2020] [Indexed: 11/17/2022] Open
Abstract
Previous research has demonstrated that serum lipid profile is associated with cognitive function as well as brain structure and function in middle-aged, elderly, and clinical populations. However, the nature and extent of lipids-brain-cognition relationships in young adulthood are largely unknown. In this study, 157 healthy young adults underwent resting-state functional MRI scans. Functional connectivity between and within 14 functional networks were calculated using independent component analysis. Peripheral venous blood samples were collected to measure serum lipids. Working memory was assessed using a 3-back task. Linear regression, correlation, and mediation analyses were conducted to test for potential associations between serum lipids, inter- and intranetwork functional connectivity, and working memory performance. We found that higher serum triglyceride (TG) level was correlated with stronger connectivity between left frontoparietal and ventral attention networks, between right frontoparietal and dorsal attention networks, between right frontoparietal and dorsal sensorimotor networks, between right frontoparietal and lateral visual networks, and between salience (SN) and ventral sensorimotor (vSMN) networks, as well as lower connectivity between posterior default mode and left frontoparietal networks, between left frontoparietal and medial visual networks, and between ventral attention and dorsal sensorimotor networks. In addition, higher SN-vSMN connectivity was related to lower 3-back accuracy. More importantly, the relationship between serum TG and 3-back accuracy was mediated by SN-vSMN connectivity. Our findings not only may expand existing knowledge regarding serum lipids-brain-cognition relations from the perspective of large-scale functional network organization but also may inform a translational conceptualization of how to improve cognitive function through regulating serum lipids.
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15
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Guo Y, Li P, Ma X, Huang X, Liu Z, Ren X, Yang Y, Halm-Lutterodt NV, Yuan L. Association of Circulating Cholesterol Level with Cognitive Function and Mild Cognitive Impairment in the Elderly: A Community-based Population Study. Curr Alzheimer Res 2020; 17:556-565. [DOI: 10.2174/1567205017666200810165758] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 11/22/2022]
Abstract
Background:
The present study was designed to examine the association of circulating cholesterol
with cognitive function in non-demented community aging adults.
Methods:
This was a cross-sectional study including 1754 Chinese adults aged 55-80 years. The association
between serum cholesterol levels and cognitive function was examined. Participants were categorized
into four groups according to the quartile of circulating TC (total cholesterol), High Density
Lipoprotein Cholesterol (HDL-c), Low Density Lipoprotein Cholesterol (LDL-c) levels and HDLc/
LDL-c ratio. The difference in cognitive performance among the groups was compared. Logistic regression
model was used to determine the association of circulating cholesterol level with the risk of
Mild Cognitive Impairment (MCI).
Results:
Mild increase of serum LDL-c level correlated with better visual and executive, language,
memory and delayed recall abilities. Higher circulating TC and HDL-c levels were found to be associated
with poorer cognitive function, especially in aging female subjects. Higher circulating TC, HDL-c
and HDL/LDL ratio indicated an increased risk of MCI, especially in female subjects.
Conclusion:
Slight increase in circulating LDL-c level might benefit cognitive function in aging adults.
However, higher circulating TC and HDL-c levels might indicate a decline of cognitive function, especially
in aging female subjects.
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Affiliation(s)
- Yujie Guo
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Pengfei Li
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiaojun Ma
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiaochen Huang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Zhuoheng Liu
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiuwen Ren
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yuhui Yang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | | | - Linhong Yuan
- School of Public Health, Capital Medical University, Beijing 100069, China
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16
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Wang R, Liu N, Tao YY, Gong XQ, Zheng J, Yang C, Yang L, Zhang XM. The Application of rs-fMRI in Vascular Cognitive Impairment. Front Neurol 2020; 11:951. [PMID: 33041965 PMCID: PMC7517303 DOI: 10.3389/fneur.2020.00951] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 07/22/2020] [Indexed: 02/05/2023] Open
Abstract
The incidence of vascular cognitive impairment (VCI) has been increasing for years and has become a major disabling factor in middle-aged and elderly populations. The pathogenesis of VCI is unclear, and there are no standard diagnostic criteria. Resting-state functional magnetic resonance imaging (rs-fMRI) can be used to detect spontaneous brain functional activity in a resting state, which facilitates in-depth investigation of the pathogenesis of VCI and provides an objective reference for early diagnosis, differential diagnosis, and prognostic evaluation. This article mainly reviews the principle and analysis of rs-fMRI data, as well as the progress of its application for VCI diagnosis.
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Affiliation(s)
- Ran Wang
- Sichuan Key Laboratory of Medical Imaging, Medical Research Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Nian Liu
- Sichuan Key Laboratory of Medical Imaging, Medical Research Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yun-Yun Tao
- Sichuan Key Laboratory of Medical Imaging, Medical Research Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xue-Qin Gong
- Sichuan Key Laboratory of Medical Imaging, Medical Research Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jing Zheng
- Sichuan Key Laboratory of Medical Imaging, Medical Research Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Cui Yang
- Sichuan Key Laboratory of Medical Imaging, Medical Research Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Lin Yang
- Sichuan Key Laboratory of Medical Imaging, Medical Research Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xiao-Ming Zhang
- Sichuan Key Laboratory of Medical Imaging, Medical Research Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
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17
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Zhou J, Zhang Z, Zhou H, Qian G. Diabetic Cognitive Dysfunction: From Bench to Clinic. Curr Med Chem 2020; 27:3151-3167. [PMID: 30727866 DOI: 10.2174/1871530319666190206225635] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Revised: 12/30/2018] [Accepted: 01/30/2019] [Indexed: 02/07/2023]
Abstract
Type 2 diabetes increases the risk of developing cognitive dysfunction in the elderly in the form of short-term memory and executive function impairment. Genetic and diet-induced models of type 2 diabetes further support this link, displaying deficits in working memory, learning, and memory performance. The risk factors for diabetic cognitive dysfunction include vascular disease, hypoglycaemia, hyperlipidaemia, adiposity, insulin resistance, lifestyle factors, and genetic factors. Using neuronal imaging technologies, diabetic patients with cognitive dysfunction show atrophy of the whole brain, particularly the grey matter, hippocampus and amygdala; increased volume of the ventricular and white matter; brain infarcts; impaired network integrity; abnormal microstructure; and reduced cerebral blood flow and amplitude of low-frequency fluctuations. The pathogenesis of type 2 diabetes with cognitive dysfunction involves hyperglycaemia, macrovascular and microvascular diseases, insulin resistance, inflammation, apoptosis, and disorders of neurotransmitters. Large clinical trials may offer further proof of biomarkers and risk factors for diabetic cognitive dysfunction. Advanced neuronal imaging technologies and novel disease animal models will assist in elucidating the precise pathogenesis and to provide better therapeutic interventions and treatment.
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Affiliation(s)
- Jiyin Zhou
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Zuo Zhang
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Hongli Zhou
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Guisheng Qian
- Institute of Respiratory Diseases, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
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18
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Rashid B, Dev SI, Esterman M, Schwarz NF, Ferland T, Fortenbaugh FC, Milberg WP, McGlinchey RE, Salat DH, Leritz EC. Aberrant patterns of default-mode network functional connectivity associated with metabolic syndrome: A resting-state study. Brain Behav 2019; 9:e01333. [PMID: 31568716 PMCID: PMC6908882 DOI: 10.1002/brb3.1333] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 03/13/2019] [Accepted: 03/29/2019] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Metabolic syndrome (MetS) is a clustering of three or more cardiovascular risk factors (RF), including hypertension, obesity, high cholesterol, or hyperglycemia. MetS and its component RFs are more prevalent in older age, and can be accompanied by alterations in brain structure. Studies have shown altered functional connectivity (FC) in samples with individual RFs as well as in clinical populations that are at higher risk to develop MetS. These studies have indicated that the default mode network (DMN) may be particularly vulnerable, yet little is known about the overall impact of MetS on FC in this network. METHODS In this study, we evaluated the integrity of FC to the DMN in participants with MetS relative to non-MetS individuals. Using a seed-based connectivity analysis approach, resting-state functional MRI (fMRI) data were analyzed, and the FC measures among the DMN seed (isthmus of the cingulate) and rest of the brain voxels were estimated. RESULTS Participants with MetS demonstrated reduced positive connectivity between the DMN seed and left superior frontal regions, and reduced negative connectivity between the DMN seed and left superior parietal, left postcentral, right precentral, right superior temporal and right superior parietal regions, after accounting for age- and sex-effects. CONCLUSIONS Our results suggest that MetS is associated with alterations in FC between the DMN and other regions of the brain. Furthermore, these results indicate that the overall burden of vascular RFs associated with MetS may, in part, contribute to the pathophysiology underlying aberrant FC in the DMN.
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Affiliation(s)
- Barnaly Rashid
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Sheena I Dev
- Harvard Medical School, Boston, Massachusetts.,SDSU/UCSD Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Michael Esterman
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
| | - Nicolette F Schwarz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,McLean Imaging Center, McLean Hospital, Belmont, Massachusetts
| | - Tori Ferland
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Francesca C Fortenbaugh
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - William P Milberg
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Regina E McGlinchey
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - David H Salat
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,The Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts
| | - Elizabeth C Leritz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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19
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Zhang X, Huang-Fu Z, Lang XY, Chun P, Chi YY, Yuan XY, Wang XG. Pathological and cognitive changes in patients with type 2 diabetes mellitus and comorbid MCI and protective hypoglycemic therapies: a narrative review. Rev Neurosci 2019; 30:757-770. [PMID: 31199776 DOI: 10.1515/revneuro-2018-0083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 01/30/2019] [Indexed: 01/04/2023]
Abstract
Type 2 diabetes mellitus (T2DM) is becoming a significant health issue worldwide. Many studies support the hypothesis that patients with T2DM have a higher-than-expected incidence of mild cognitive impairment (MCI) than individuals without diabetes. Based on the results from recent studies, MCI might be associated with the effects of T2DM on glucose metabolism and brain atrophy. As a narrative review, we will illuminate pathological and cognitive changes in patients with T2DM and comorbid MCI and protective hypoglycemic therapies. The early abnormal signs of cognition must be elucidated, and extensive investigations are needed to develop improved therapies for use in the clinic.
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Affiliation(s)
- Xiao Zhang
- The First Affiliated Hospital of Dalian Medical University, Dalian 116000, P.R. China
| | - Zhao Huang-Fu
- The Second Affiliated Hospital of Dalian Medical University, Dalian 116027, P.R. China
| | - Xing-Ying Lang
- Dalian Center for Disease Control and Prevention, Dalian 116021, P.R. China
| | - Pu Chun
- Department of Anatomy, College of Basic Medicine, Dalian Medical University, Dalian 16044, P.R. China
| | - Yan-Yan Chi
- Department of Anatomy, College of Basic Medicine, Dalian Medical University, Dalian 16044, P.R. China
| | - Xiao-Ying Yuan
- Department of Anatomy, College of Basic Medicine, Dalian Medical University, Dalian 16044, P.R. China
| | - Xu-Gang Wang
- Department of Neurology, The Second Affiliated Hospital of Dalian Medical University, Dalian 116027, P.R. China
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20
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Zhang Y, Cao Y, Xie Y, Liu L, Qin W, Lu S, Zhang Q. Altered brain structural topological properties in type 2 diabetes mellitus patients without complications. J Diabetes 2019; 11:129-138. [PMID: 30039563 DOI: 10.1111/1753-0407.12826] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Revised: 06/19/2018] [Accepted: 07/13/2018] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a risk factor for cognitive dysfunction, and white matter (WM) microstructural impairments play a critical role in T2DM-related cognitive decline. Disruptions to the WM have been detected in T2DM patients before clinical diagnosis of cognitive dysfunction. Herein, we investigated changes in brain structural topological properties and their correlation with behavior in T2DM patients without complications. METHODS Diffusion tensor imaging (DTI) structural network topological analysis was performed on T2DM patients and healthy controls. Intergroup differences in global and nodal parameters were analyzed, and correlations between the network parameters and behavioral performance were tested. RESULTS Type 2 diabetes mellitus patients exhibited preserved small-world properties, but altered nodal properties, including decreased efficiency in the right hippocampus, right amygdala, left pallidum, left postcentral gyrus, and right pole of the superior temporal gyrus, and increased degree in the right inferior frontal gyrus. Correlations were also found between the altered global and nodal parameters and behavioral performance. CONCLUSIONS The results verified the existence of WM structural network changes and the association between structural properties and cognitive state in T2DM patients before the occurrence of complications. Research of structural properties may contribute to our understanding of the intrinsic links between T2DM and cognition.
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Affiliation(s)
- Yang Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yujuan Cao
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yingjie Xie
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Linlin Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Shan Lu
- Department of Radiology, Tianjin Medical University Metabolic Diseases Hospital, Tianjin, China
| | - Quan Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
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21
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Chen H, Du Y, Liu S, Ge B, Ji Y, Huang G. Association between serum cholesterol levels and Alzheimer's disease in China: a case-control study. Int J Food Sci Nutr 2019; 70:405-411. [PMID: 30624122 DOI: 10.1080/09637486.2018.1508426] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
To examine the association between blood cholesterol concentrations and Alzheimer's disease (AD) in the Chinese elderly. A case-control study was implemented between November 2011 and November 2017. Elderly patients aged ≥ 55 years with (n = 117) and without AD (control participants; n = 117) were recruited from the Neurology Central Hospital of Tianjin, China. The associations between AD and blood parameters were assessed using multiple binary logistic regression analyses adjusted for multiple covariates. Higher serum total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels and lower serum high-density lipoprotein cholesterol (HDL-C) levels associated with AD risk in the models adjusted for (1) age, sex and education; and (2) further adjusted for body mass index, smoking status, stroke, hypertension, type 2 diabetes mellitus and heart disease. Increased serum TC and LDL-C levels and lower HDL-C levels were independently associated with the risk of AD.
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Affiliation(s)
- Hui Chen
- a School of Nursing , Tianjin Medical University , Tianjin , China
| | - Yue Du
- b Department of Nutrition and Food Science, School of Public Health , Tianjin Medical University , Tianjin , China
| | - Shuai Liu
- c Department of Neurology, and Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases , Tianjin Huanhu Hospital , Tianjin , China
| | - Baojin Ge
- b Department of Nutrition and Food Science, School of Public Health , Tianjin Medical University , Tianjin , China
| | - Yong Ji
- c Department of Neurology, and Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases , Tianjin Huanhu Hospital , Tianjin , China
| | - Guowei Huang
- b Department of Nutrition and Food Science, School of Public Health , Tianjin Medical University , Tianjin , China
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22
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Rosenberg J, Lechea N, Pentang GN, Shah NJ. What magnetic resonance imaging reveals - A systematic review of the relationship between type II diabetes and associated brain distortions of structure and cognitive functioning. Front Neuroendocrinol 2019; 52:79-112. [PMID: 30392901 DOI: 10.1016/j.yfrne.2018.10.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 10/11/2018] [Accepted: 10/22/2018] [Indexed: 12/19/2022]
Abstract
Due to its increasing prevalence, Type 2 diabetes mellitus (T2DM) represents a major health challenge for modern society. Despite it being of fundamental interest, only a few MRI studies have conducted statistical analyses to draw scientifically valid conclusions about the complex interplay of T2DM and its associated clinical, structural, functional, metabolite, as well as cognitive distortions. Therefore, a systematic review of 68 manuscripts, following the PRISMA guidelines, was conducted. Notably, although the associations between imaging, clinical, and cognitive variables are not fully homogeneous, findings show a clear trend towards a link between altered brain structure and a decline in cognitive processing ability. The results of the review highlight the heterogeneity of the methods used across manuscripts in terms of assessed clinical variables, imaging, and data analysis methods. This is particularly significant as, if the subjects' criteria are not carefully considered, results are easily prone to confounding factors.
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Affiliation(s)
- Jessica Rosenberg
- Institute of Neuroscience and Medicine (INM-4), Medical Imaging Physics, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; JARA - Translational Brain Medicine & INM-11, RWTH Aachen University, 52074 Aachen, Germany; Department of Neurology, University Clinic Aachen, 52074 Aachen, Germany.
| | - Nazim Lechea
- Institute of Neuroscience and Medicine (INM-4), Medical Imaging Physics, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
| | - Gael N Pentang
- Institute of Neuroscience and Medicine (INM-4), Medical Imaging Physics, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
| | - Nadim J Shah
- Institute of Neuroscience and Medicine (INM-4), Medical Imaging Physics, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; JARA - Translational Brain Medicine & INM-11, RWTH Aachen University, 52074 Aachen, Germany; Department of Neurology, University Clinic Aachen, 52074 Aachen, Germany; Department of Electrical and Computer Systems Engineering, and Monash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
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23
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Macpherson H, Formica M, Harris E, Daly RM. Brain functional alterations in Type 2 Diabetes - A systematic review of fMRI studies. Front Neuroendocrinol 2017; 47:34-46. [PMID: 28687473 DOI: 10.1016/j.yfrne.2017.07.001] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 06/30/2017] [Accepted: 07/02/2017] [Indexed: 02/07/2023]
Abstract
Type 2 Diabetes (T2DM) is emerging as a major global health issue. T2DM can adversely affect cognition and increase dementia risk. This systematic review aimed to examine the functional brain changes that may underlie cognitive dysfunction in adults with T2DM. Studies were restricted to those which used functional magnetic resonance imaging (fMRI). Nineteen independent studies were identified, mostly comprised of middle aged or older adults. Resting-state studies demonstrated that compared to controls, connectivity of the Default Mode Network (DMN) was reduced and the majority of task-based studies identified reduced activation in T2DM patients in regions relevant to task performance. Abnormalities of low frequency spontaneous brain activity were observed, particularly in visual regions. As most studies demonstrated that alterations in fMRI were related to poorer neuropsychological task performance, these results indicate that functional brain abnormalities in T2DM have consequences for cognition.
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Affiliation(s)
- Helen Macpherson
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
| | - Melissa Formica
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia
| | - Elizabeth Harris
- Centre for Human Psychopharmacology, Swinburne University, Hawthorn, VIC, Australia
| | - Robin M Daly
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia
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24
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Liu L, Li W, Zhang Y, Qin W, Lu S, Zhang Q. Weaker Functional Connectivity Strength in Patients with Type 2 Diabetes Mellitus. Front Neurosci 2017; 11:390. [PMID: 28736516 PMCID: PMC5500656 DOI: 10.3389/fnins.2017.00390] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2016] [Accepted: 06/22/2017] [Indexed: 01/08/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is related to cognitive impairments and increased risk for dementia. Neuroimaging studies have demonstrated T2DM-related brain structural and functional changes which are partly associated to the cognitive decline. However, few studies focused on the early neuroimaging findingsin T2DM patients. In this study, a data-driven whole-brain resting state functional connectivity strength (rsFCS) methodwas used to evaluate resting functional changes in 53 T2DM patients compared with 55 matched healthy controls (HCs), and to detect the associations between the rsFCSchanges and cognitive functions in T2DM patients. The T2DM patients exhibited weaker long-range rsFCS in the right insula and weaker short-range rsFCS in the right supramarginalgyrus (SG) compared with the HCs. Additionally, seed-based functional connectivity (FC) analysis revealed weaker FC between the right insula and the bilateral superior parietal lobule (SPL), and between the right SG and the bilateral supplementary motor area (SMA)/right SPL in T2DM patientscompared with the HCs. In T2DM patients, negative correlation was found between the long-range rsFCS in the right insula and HbA1c levels; and the FC between the right SG and the bilateral SMA negatively correlated with TMT-A scores. Our results indicated that the rsFCS alteration occurredbefore obvious cognitive deficits in T2DM patients, which might be helpful for understanding the neuromechanism of cognitive declines in T2DM patients.
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Affiliation(s)
- Linlin Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General HospitalTianjin, China
| | - Wanhu Li
- Department of Radiology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical SciencesJinan, China
| | - Yang Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General HospitalTianjin, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General HospitalTianjin, China
| | - Shan Lu
- Department of Radiology, Tianjin Medical University Metabolic Diseases HospitalTianjin, China
| | - Quan Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General HospitalTianjin, China
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25
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van Bussel FCG, Backes WH, Hofman PAM, van Oostenbrugge RJ, van Boxtel MPJ, Verhey FRJ, Steinbusch HWM, Schram MT, Stehouwer CDA, Wildberger JE, Jansen JFA. Cerebral Pathology and Cognition in Diabetes: The Merits of Multiparametric Neuroimaging. Front Neurosci 2017; 11:188. [PMID: 28424581 PMCID: PMC5380729 DOI: 10.3389/fnins.2017.00188] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Accepted: 03/21/2017] [Indexed: 12/19/2022] Open
Abstract
Type 2 diabetes mellitus is associated with accelerated cognitive decline and various cerebral abnormalities visible on MRI. The exact pathophysiological mechanisms underlying cognitive decline in diabetes still remain to be elucidated. In addition to conventional images, MRI offers a versatile set of novel contrasts, including blood perfusion, neuronal function, white matter microstructure, and metabolic function. These more-advanced multiparametric MRI contrasts and the pertaining parameters are able to reveal abnormalities in type 2 diabetes, which may be related to cognitive decline. To further elucidate the nature of the link between diabetes, cognitive decline, and brain abnormalities, and changes over time thereof, biomarkers are needed which can be provided by advanced MRI techniques. This review summarizes to what extent MRI, especially advanced multiparametric techniques, can elucidate the underlying neuronal substrate that reflects the cognitive decline in type 2 diabetes.
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Affiliation(s)
- Frank C G van Bussel
- Department of Radiology, Maastricht University Medical CenterMaastricht, Netherlands.,School for Mental Health and Neuroscience, Maastricht University Medical CenterMaastricht, Netherlands
| | - Walter H Backes
- Department of Radiology, Maastricht University Medical CenterMaastricht, Netherlands.,School for Mental Health and Neuroscience, Maastricht University Medical CenterMaastricht, Netherlands
| | - Paul A M Hofman
- Department of Radiology, Maastricht University Medical CenterMaastricht, Netherlands.,School for Mental Health and Neuroscience, Maastricht University Medical CenterMaastricht, Netherlands
| | - Robert J van Oostenbrugge
- School for Mental Health and Neuroscience, Maastricht University Medical CenterMaastricht, Netherlands.,Department of Neurology, Maastricht University Medical CenterMaastricht, Netherlands.,Cardiovascular Research Institute Maastricht, Maastricht University Medical CenterMaastricht, Netherlands
| | - Martin P J van Boxtel
- School for Mental Health and Neuroscience, Maastricht University Medical CenterMaastricht, Netherlands.,Department of Psychiatry and Neuropsychology, Maastricht University Medical CenterMaastricht, Netherlands
| | - Frans R J Verhey
- School for Mental Health and Neuroscience, Maastricht University Medical CenterMaastricht, Netherlands.,Department of Psychiatry and Neuropsychology, Maastricht University Medical CenterMaastricht, Netherlands
| | - Harry W M Steinbusch
- School for Mental Health and Neuroscience, Maastricht University Medical CenterMaastricht, Netherlands.,Department of Psychiatry and Neuropsychology, Maastricht University Medical CenterMaastricht, Netherlands
| | - Miranda T Schram
- Cardiovascular Research Institute Maastricht, Maastricht University Medical CenterMaastricht, Netherlands.,Department of Internal Medicine, Maastricht University Medical CenterMaastricht, Netherlands
| | - Coen D A Stehouwer
- Cardiovascular Research Institute Maastricht, Maastricht University Medical CenterMaastricht, Netherlands.,Department of Internal Medicine, Maastricht University Medical CenterMaastricht, Netherlands
| | - Joachim E Wildberger
- Department of Radiology, Maastricht University Medical CenterMaastricht, Netherlands.,Cardiovascular Research Institute Maastricht, Maastricht University Medical CenterMaastricht, Netherlands
| | - Jacobus F A Jansen
- Department of Radiology, Maastricht University Medical CenterMaastricht, Netherlands.,School for Mental Health and Neuroscience, Maastricht University Medical CenterMaastricht, Netherlands
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26
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Veeranki SP, Downer B, Jupiter D, Wong R. Arthritis and Risk of Cognitive and Functional Impairment in Older Mexican Adults. J Aging Health 2017; 29:454-473. [PMID: 26965081 PMCID: PMC5017899 DOI: 10.1177/0898264316636838] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE This study investigated the risk of cognitive and functional impairment in older Mexicans diagnosed with arthritis. Participants included 2,681 Mexicans, aged ≥60 years, enrolled in the Mexican Health and Aging Study cohort. METHOD Participants were categorized into arthritis and no arthritis exposure groups. Primary outcome included participants categorized into "cognitively impaired" or "cognitively normal" groups. Secondary outcomes included participants categorized into Normal, Functionally Impaired only, Cognitively Impaired only, or Dementia (both cognitively and functionally impaired) groups. Multivariable logistic and multinomial regression models were used to assess the relationships. RESULTS Overall, 16% or 7% were diagnosed with cognitive impairment or dementia. Compared with older Mexicans without arthritis, those who were diagnosed with arthritis had significantly increased risk of functional impairment (adjusted odds ratio [OR] 1.82, 95% confidence interval [CI] = [1.45, 2.29]), but not of dementia. CONCLUSION Arthritis is associated with increased risk of functional impairment, but not with dementia after 11 years in older Mexicans.
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Affiliation(s)
| | - Brian Downer
- University of Texas Medical Branch, Galveston, USA
| | | | - Rebeca Wong
- University of Texas Medical Branch, Galveston, USA
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27
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Hamed SA. Brain injury with diabetes mellitus: evidence, mechanisms and treatment implications. Expert Rev Clin Pharmacol 2017; 10:409-428. [PMID: 28276776 DOI: 10.1080/17512433.2017.1293521] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Sherifa A. Hamed
- Department of Neurology and Psychiatry, Assiut University Hospital , Assiut, Egypt
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28
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Wang YF, Ji XM, Lu GM, Zhang LJ. Resting-state functional MR imaging shed insights into the brain of diabetes. Metab Brain Dis 2016; 31:993-1002. [PMID: 27456459 DOI: 10.1007/s11011-016-9872-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 07/05/2016] [Indexed: 12/21/2022]
Abstract
Diabetes mellitus is a common metabolic disease which is associated with increasing risk for multiple cognitive declines. Alterations in brain functional connectivity are believed to be the mechanisms underlying the cognitive function impairments. During the past decade, resting-state functional magnetic resonance imaging (rs-fMRI) has been developed as a major tool to study brain functional connectivity in vivo. This paper briefly reviews the diabetes-associated cognitive impairment, analysis algorithms and clinical applications of rs-fMRI. We also provide future perspectives of rs-fMRI in diabetes.
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Affiliation(s)
- Yun Fei Wang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, Jiangsu Province, 210002, China
| | - Xue Man Ji
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, Jiangsu Province, 210002, China.
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, Jiangsu Province, 210002, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, Jiangsu Province, 210002, China.
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29
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Sun J, Cai R, Huang R, Wang P, Tian S, Sun H, Xia W, Wang S. Cholesteryl Ester Transfer Protein Intimately Involved in Dyslipidemia-Related Susceptibility to Cognitive Deficits in Type 2 Diabetic Patients. J Alzheimers Dis 2016; 54:175-84. [PMID: 27497473 DOI: 10.3233/jad-160053] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cholesteryl ester transfer protein (CETP) is involved in diabetic dyslipidemia. OBJECTIVE We aim to test the hypothesis that CETP might be of importance in mediating dyslipidemia-related susceptibility to cognitive deficits in diabetic patients. METHODS We recruited 190 type 2 diabetic patients and divided them into two groups according to the Montreal Cognitive Assessment (MoCA) score. The association between CETP and cognitive decline was analyzed with logistic regression and stratification. RESULTS There were 110 diabetic patients with mild cognition impairment (MCI) and 80 healthy cognition subjects as controls. Dyslipidemia is more common among diabetic patients with MCI; they had a significant increase of serum CETP concentrations, which was negatively correlated with MoCA (r = -0.638; p < 0.001). Negative correlations were also found between the serum CETP concentration with the Auditory Verbal Learning Test (r = -0.266; p = 0.008), indicating memory deficit. Logistic regression analysis revealed that CETP concentration was an independent factor of diabetic MCI (p < 0.001). Further stratification study showed that high serum levels of CETP was an independent risk factor of MCI in diabetic patients with a low density lipoproteins level ≥2.59 mmol/L, or high density lipoproteins level ≤1.0 mmol/L for men and ≤1.3 mmol/L for women, or TG level ≥1.7 mmol/L, after adjusting for age, sex, education, and glucose control (all ps < 0.05). CONCLUSIONS CETP was intimately involved in dyslipidemia-related susceptibility to cognitive decline, especially memory function in type 2 diabetic patients.
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Affiliation(s)
- Jie Sun
- Department of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, PR China.,Medical School of Southeast University, Nanjing, PR China
| | - Rongrong Cai
- Department of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, PR China
| | - Rong Huang
- Department of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, PR China
| | - Pin Wang
- Department of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, PR China
| | - Sai Tian
- Department of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, PR China
| | - Haixia Sun
- Department of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, PR China
| | - Wenqing Xia
- Department of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, PR China
| | - Shaohua Wang
- Department of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, PR China
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