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Denizci E, Altun G, Kaplan S. Morphological evidence for the potential protective effects of curcumin and Garcinia kola against diabetes in the rat hippocampus. Brain Res 2024; 1839:149020. [PMID: 38788929 DOI: 10.1016/j.brainres.2024.149020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/16/2024] [Accepted: 05/22/2024] [Indexed: 05/26/2024]
Abstract
This research investigated the effects of sciatic nerve transection and diabetes on the hippocampus, and the protective effects of Garcinia kola and curcumin. Thirty-five adults male Wistar albino rats were divided into five groups: a control group (Cont), a transected group (Sham group), a transected + diabetes mellitus group (DM), a transected + diabetes mellitus + Garcinia kola group (DM + GK), and a transected + DM + curcumin group (DM + Cur), each containing seven animals. The experimental diabetes model was created with the intraperitoneal injection of a single dose of streptozotocin. No procedure was applied to the Cont group, while sciatic nerve transection was performed on the other groups. Garcinia kola was administered to the rats in DM + GK, and curcumin to those in DM + Cur. Cardiac perfusion was performed at the end of the experimental period. Brain tissues were dissected for stereological, histopathological, and immunohistochemical evaluations. The volume ratios of hippocampal layers to the entire hippocampus volume were compared between the groups. Anti-S100, anti-caspase 3, and anti-SOX 2 antibodies were used for immunohistochemical analysis. No statistically significant difference was observed in the volume ratios of the four hippocampal layers. However, the volume ratio of the stratum lucidum was higher in the Sham, DM, and DM + Cur groups compared to the Cont group. While curcumin exhibited a protective effect on hippocampal tissue following diabetes induction, Garcinia kola had only a weak protective effect. Increased cell density and nuclear deterioration due to diabetes and nerve transection can be partially ameliorated by treatment with Garcinia kola and curcumin.
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Affiliation(s)
- Eda Denizci
- Department of Histology and Embryology, Ondokuz Mayıs University, Samsun 55139, Turkey
| | - Gamze Altun
- Department of Histology and Embryology, Ondokuz Mayıs University, Samsun 55139, Turkey
| | - Süleyman Kaplan
- Department of Histology and Embryology, Ondokuz Mayıs University, Samsun 55139, Turkey; Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
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Qiu W, Yue X, Huang H, Ge L, Lu W, Cao Z, Rao Y, Tan X, Wang Y, Wu J, Chen Y, Qiu S, Li G. Structural characteristics of amygdala subregions in type 2 diabetes mellitus. Behav Brain Res 2024; 466:114992. [PMID: 38599250 DOI: 10.1016/j.bbr.2024.114992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024]
Abstract
Type 2 diabetes mellitus (T2DM) patients often suffer from depressive symptoms, which seriously affect cooperation in treatment and nursing. The amygdala plays a significant role in depression. This study aims to explore the microstructural alterations of the amygdala in T2DM and to investigate the relationship between the alterations and depressive symptoms. Fifty T2DM and 50 healthy controls were included. Firstly, the volumes of subcortical regions and subregions of amygdala were calculated by FreeSurfer. Covariance analysis (ANCOVA) was conducted between the two groups with covariates of age, sex, and estimated total intracranial volume to explore the differences in volume of subcortical regions and subregions of amygdala. Furthermore, the structural covariance within the amygdala subregions was performed. Moreover, we investigate the correlation between depressive symptoms and the volume of subcortical regions and amygdala subregions in T2DM. We observed a reduction in the volume of the bilateral cortico-amygdaloid transition area, left basal nucleus, bilateral accessory basal nucleus, left anterior amygdaloid area of amygdala, the left thalamus and left hippocampus in T2DM. T2DM patients showed decreased structural covariance connectivity between left paralaminar nucleus and the right central nucleus. Moreover, there was a negative correlation between self-rating depression scale scores and the volume of the bilateral cortico-amygdaloid transition area in T2DM. This study reveals extensive structural alterations in the amygdala subregions of T2DM patients. The reduction in the volume of the bilateral cortico-amygdaloid transition area may be a promising imaging marker for early recognition of depressive symptoms in T2DM.
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Affiliation(s)
- Wenbin Qiu
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Xiaomei Yue
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Haoming Huang
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China; Critical Care Unit, The Affiliated Traditional Chinese Medicine Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510405, PR China
| | - Limin Ge
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Weiye Lu
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Zidong Cao
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Yawen Rao
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Xin Tan
- Department of Radiology, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Yan Wang
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Jinjian Wu
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Yuna Chen
- Department of Endocrinology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China
| | - Shijun Qiu
- Department of Radiology, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, PR China.
| | - Gang Li
- Department of Radiology and Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill, NC 27599, USA.
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Huang Y, Wang S, Cai C, Huang X, Chen Y, Wu X, Zhang Y, Zhang Y, Lin X. Retinal vascular density as a potential biomarker of diabetic cerebral small vessel disease. Diabetes Obes Metab 2024; 26:1789-1798. [PMID: 38433711 DOI: 10.1111/dom.15492] [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: 10/24/2023] [Revised: 01/26/2024] [Accepted: 01/27/2024] [Indexed: 03/05/2024]
Abstract
AIM The retina and brain share similar anatomical and physiological features. Thus, retinal imaging by optical coherence tomography angiography (OCTA) might be a potential tool for the early diagnosis of diabetic cerebral small vessel disease (CSVD). In this study, we aimed to evaluate retinal vascular density (VD) in diabetic CSVD by OCTA imaging and explore the associations between retinal VD and cerebral magnetic resonance imaging (MRI) markers and cognitive function. METHODS In total, 131 patients were enrolled, including CSVD (n = 43) and non-CSVD groups (n = 88). The VD and foveal avascular zone of the retinal capillary plexus were measured with OCTA. A brain MRI was performed. RESULTS MRI imaging showed that in the diabetic CSVD group, white matter hyperintensities (WMHs), particularly deep WMHs (58.82%), are the most common MRI marker, followed by cerebral microbleeds in the subtentorial and cortical areas (34.78%). The CSVD group showed increases in the prevalence of cognitive dysfunction (p = .034) and depression (p = .033) and decreases in visuospatial/executive ability and delayed recall ability. In the CSVD group, VDs of the macular superficial vascular plexus (32.93 ± 7.15% vs. 36.97 ± 6.59%, p = .002), intermediate capillary plexus (20.87 ± 4.30% vs. 23.08 ± 4.30%, p = .005) and deep capillary plexus (23.54 ± 5.00% vs. 26.05 ± 4.20%, p = .003) were lower than those of the non-CSVD group. Multiple linear regression analysis showed that VD of the macular superficial vascular plexus was independently associated with cerebral microbleeds. Meanwhile, VD of the macular intermediate capillary plexus was associated with white matter lacunar infarcts after adjustment. CONCLUSIONS Diabetic CSVDs are characterized by MRI markers, including deep WMHs and cerebral microbleeds, and showed impaired cognition with decreased visuospatial/executive ability and delayed recall ability. OCTA imaging revealed a significant decrease in retinal microvascular perfusion in diabetic CSVD, which was related to MRI markers and cognitive function. OCTA might be a valuable potential measurement for the early diagnosis of CSVD.
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Affiliation(s)
- Yinqiong Huang
- Department of Endocrinology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Siyun Wang
- Department of Endocrinology, Affiliated Fuzhou First Hospital of Fujian Medical University, Fuzhou, China
- Department of Endocrinology, Fuzhou First General Hospital Affiliated with Fujian Medical University, Fuzhou, China
| | - Chi Cai
- Department of CT/MRI, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Xinwei Huang
- Department of Endocrinology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Yan Chen
- Department of Endocrinology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Xiaohong Wu
- Department of Endocrinology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yiping Zhang
- Department of Endocrinology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yan Zhang
- Department of Ophthalmology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Xiahong Lin
- Department of CT/MRI, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- Department of Endocrinology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Department of Geriatric, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
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Kim RY, Joo Y, Ha E, Hong H, Suh C, Shim Y, Lee H, Kim Y, Cho JH, Yoon S, Lyoo IK. Alterations in Brain Morphometric Networks and Their Relationship with Memory Dysfunction in Patients with Type 2 Diabetes Mellitus. Exp Neurobiol 2024; 33:107-117. [PMID: 38724480 PMCID: PMC11089400 DOI: 10.5607/en24005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 03/31/2024] [Accepted: 04/09/2024] [Indexed: 05/15/2024] Open
Abstract
Cognitive dysfunction, a significant complication of type 2 diabetes mellitus (T2DM), can potentially manifest even from the early stages of the disease. Despite evidence of global brain atrophy and related cognitive dysfunction in early-stage T2DM patients, specific regions vulnerable to these changes have not yet been identified. The study enrolled patients with T2DM of less than five years' duration and without chronic complications (T2DM group, n=100) and demographically similar healthy controls (control group, n=50). High-resolution T1-weighted magnetic resonance imaging data were subjected to independent component analysis to identify structurally significant components indicative of morphometric networks. Within these networks, the groups' gray matter volumes were compared, and distinctions in memory performance were assessed. In the T2DM group, the relationship between changes in gray matter volume within these networks and declines in memory performance was examined. Among the identified morphometric networks, the T2DM group exhibited reduced gray matter volumes in both the precuneus (Bonferroni-corrected p=0.003) and insular-opercular (Bonferroni-corrected p=0.024) networks relative to the control group. Patients with T2DM demonstrated significantly lower memory performance than the control group (p=0.001). In the T2DM group, reductions in gray matter volume in both the precuneus (r=0.316, p=0.001) and insular-opercular (r=0.199, p=0.047) networks were correlated with diminished memory performance. Our findings indicate that structural alterations in the precuneus and insular-opercular networks, along with memory dysfunction, can manifest within the first 5 years following a diagnosis of T2DM.
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Affiliation(s)
- Rye Young Kim
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
| | - Yoonji Joo
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
| | - Eunji Ha
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
| | - Haejin Hong
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
| | - Chaewon Suh
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
| | - Youngeun Shim
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea
| | - Hyeonji Lee
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea
| | - Yejin Kim
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea
| | - Jae-Hyoung Cho
- Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Sujung Yoon
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea
| | - In Kyoon Lyoo
- Ewha Brain Institute, Ewha Womans University, Seoul 03760, Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul 03760, Korea
- Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Korea
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Grasset L, Frison E, Helmer C, Catheline G, Chêne G, Dufouil C. Understanding the relationship between type-2 diabetes, MRI markers of neurodegeneration and small vessel disease, and dementia risk: a mediation analysis. Eur J Epidemiol 2024; 39:409-417. [PMID: 38190014 PMCID: PMC11101545 DOI: 10.1007/s10654-023-01080-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 11/03/2023] [Indexed: 01/09/2024]
Abstract
To explore to which extent neurodegeneration and cerebral small vessel disease (SVD) could mediate the association between type-2 diabetes and higher dementia risk. The analytical sample consisted in 2228 participants, out of the Three-City study, aged 65 and older, free of dementia at baseline who underwent brain MRI. Diabetes was defined by medication intake or fasting or non-fasting elevated glucose levels. Dementia status was assessed every 2 to 3 years, during up to 12 years of follow-up. Brain parenchymal fraction (BPF) and white matter hyperintensities volume (WMHV) were selected as markers of neurodegeneration and cerebral SVD respectively. We performed a mediation analysis of the effect of baseline BPF and WMHV (mediators) on the association between diabetes and dementia risk using linear and Cox models adjusted for age, sex, education level, hypertension, hypercholesterolemia, BMI, smoking and alcohol drinking status, APOE-ε4 status, and study site. At baseline, 8.8% of the participants had diabetes. Diabetes (yes vs. no) was associated with higher WMHV (βdiab = 0.193, 95% CI 0.040; 0.346) and lower BPF (βdiab = -0.342, 95% CI -0.474; -0.210), as well as with an increased risk of dementia over 12 years of follow-up (HRdiab = 1.65, 95% CI 1.04; 2.60). The association between diabetes status and dementia risk was statistically mediated by higher WMHV (HRdiab=1.05, 95% CI 1.01; 1.11, mediated part = 10.8%) and lower BPF (HRdiab = 1.12, 95% CI 1.05; 1.20, mediated part = 22.9%). This study showed that both neurodegeneration and cerebral SVD statistically explained almost 30% of the association between diabetes and dementia.
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Affiliation(s)
- Leslie Grasset
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, CIC1401-EC, F-33000, Bordeaux, France.
- INSERM U1219, University of Bordeaux, 146 rue Léo Saignat, 33077, Bordeaux cedex, France.
| | - Eric Frison
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, CIC1401-EC, F-33000, Bordeaux, France
- Service d'Information Médicale, CHU Bordeaux, Bordeaux, France
| | - Catherine Helmer
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, CIC1401-EC, F-33000, Bordeaux, France
| | - Gwénaëlle Catheline
- INCIA, EPHE, CNRS, Université PSL, University of Bordeaux, 33076, Bordeaux, France
| | - Geneviève Chêne
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, CIC1401-EC, F-33000, Bordeaux, France
- Pole de sante publique Centre Hospitalier Universitaire (CHU) de Bordeaux, 33000, Bordeaux, France
| | - Carole Dufouil
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, CIC1401-EC, F-33000, Bordeaux, France
- Pole de sante publique Centre Hospitalier Universitaire (CHU) de Bordeaux, 33000, Bordeaux, France
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Inoue C, Kusunoki Y, Ohigashi M, Osugi K, Kitajima K, Takagi A, Inoue M, Yagi C, Tsunoda T, Kakutani M, Kadoya M, Konishi K, Katsuno T, Koyama H. Association between brain imaging biomarkers and continuous glucose monitoring-derived glycemic control indices in Japanese patients with type 2 diabetes mellitus. BMJ Open Diabetes Res Care 2024; 12:e003744. [PMID: 38233078 PMCID: PMC10806821 DOI: 10.1136/bmjdrc-2023-003744] [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: 09/01/2023] [Accepted: 12/19/2023] [Indexed: 01/19/2024] Open
Abstract
INTRODUCTION Although type 2 diabetes mellitus (T2DM) is associated with alterations in brain structure, the relationship between glycemic control indices and brain imaging markers remains unclear. This study aimed to investigate the association between continuous glucose monitoring (CGM)-derived glycemic control indices and brain imaging biomarkers assessed by MRI. RESEARCH DESIGN AND METHODS This cross-sectional study included 150 patients with T2DM. The severity of cerebral white matter lesions (WMLs) was assessed using MRI for deep and subcortical white matter and periventricular hyperintensities. The degree of medial temporal lobe atrophy (MTA) was assessed using voxel-based morphometry. Each participant wore a retrospective CGM for 14 consecutive days, and glycemic control indices, such as time in range (TIR) and glycemia risk index (GRI), were calculated. RESULTS The proportion of patients with severe WMLs showed a decreasing trend with increasing TIR (P for trend=0.006). The proportion of patients with severe WMLs showed an increasing trend with worsening GRI (P for trend=0.011). In contrast, no significant association was observed between the degree of MTA and CGM-derived glycemic control indices, including TIR (P for trend=0.325) and GRI (P for trend=0.447). CONCLUSIONS The findings of this study indicate that the severity of WMLs is associated with TIR and GRI, which are indices of the quality of glycemic control. TRIAL REGISTRATION NUMBER UMIN000032143.
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Affiliation(s)
- Chikako Inoue
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Yoshiki Kusunoki
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Mana Ohigashi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Keiko Osugi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Kazuhiro Kitajima
- Department of Radiology, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
| | - Ayako Takagi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Maki Inoue
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Chisako Yagi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Taku Tsunoda
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Miki Kakutani
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Manabu Kadoya
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Kosuke Konishi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Tomoyuki Katsuno
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Hidenori Koyama
- Department of Diabetes, Endocrinology and Clinical Immunology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
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Tokuda H, Hori T, Mizutani D, Hioki T, Kojima K, Onuma T, Enomoto Y, Doi T, Matsushima-Nishiwaki R, Ogura S, Iida H, Iwama T, Sakurai T, Kozawa O. Inverse relationship between platelet Akt activity and hippocampal atrophy: A pilot case-control study in patients with diabetes mellitus. World J Clin Cases 2024; 12:302-313. [PMID: 38313640 PMCID: PMC10835682 DOI: 10.12998/wjcc.v12.i2.302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/15/2023] [Accepted: 12/21/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Akt plays diverse roles in humans. It is involved in the pathogenesis of type 2 diabetes mellitus (T2DM), which is caused by insulin resistance. Akt also plays a vital role in human platelet activation. Furthermore, the hippocampus is closely associated with memory and learning, and a decrease in hippocampal volume is reportedly associated with an insulin-resistant phenotype in T2DM patients without dementia. AIM To investigate the relationship between Akt phosphorylation in unstimulated platelets and the hippocampal volume in T2DM patients. METHODS Platelet-rich plasma (PRP) was prepared from the venous blood of patients with T2DM or age-matched controls. The pellet lysate of the centrifuged PRP was subjected to western blotting to analyse the phosphorylation of Akt, p38 mitogen-activated protein (MAP) kinase and glyceraldehyde 3-phosphate dehydrogenase (GAPDH). Phosphorylation levels were quantified by densitometric analysis. Hippocampal volume was analysed using a voxel-based specific regional analysis system for Alzheimer's disease on magnetic resonance imaging, which proposes the Z-score as a parameter that reflects hippocampal volume. RESULTS The levels of phosphorylated Akt corrected with phosphorylated p38 MAP kinase were inversely correlated with the Z-scores in the T2DM subjects, whereas the levels of phosphorylated Akt corrected with GAPDH were not. However, this relationship was not observed in the control patients. CONCLUSION These results suggest that an inverse relationship may exist between platelet Akt activation and hippocampal atrophy in T2DM patients. Our findings provide insight into the molecular mechanisms underlying T2DM hippocampal atrophy.
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Affiliation(s)
- Haruhiko Tokuda
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
- Department of Clinical Laboratory, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
- Department of Pharmacology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Takamitsu Hori
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
- Department of Pharmacology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
- Department of Neurosurgery, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Daisuke Mizutani
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
- Department of Pharmacology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
- Department of Neurosurgery, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Tomoyuki Hioki
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
- Department of Pharmacology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
- Department of Dermatology, Central Japan International Medical Center, Minokamo 505-8510, Japan
| | - Kumi Kojima
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
| | - Takashi Onuma
- Department of Anesthesiology and Pain Medicine, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Yukiko Enomoto
- Department of Neurosurgery, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Tomoaki Doi
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
- Department of Emergency Medicine, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
- Department of Emergency and Disaster Medicine, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Rie Matsushima-Nishiwaki
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
- Department of Pharmacology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Shinji Ogura
- Department of Emergency and Disaster Medicine, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Hiroki Iida
- Department of Anesthesiology and Pain Medicine, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Toru Iwama
- Department of Neurosurgery, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
| | - Takashi Sakurai
- Research Institute, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
| | - Osamu Kozawa
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan
- Department of Pharmacology, Gifu University Graduate School of Medicine, Gifu 501-1194, Japan
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Yonamine CY, Michalani MLE, Moreira RJ, Machado UF. Glucose Transport and Utilization in the Hippocampus: From Neurophysiology to Diabetes-Related Development of Dementia. Int J Mol Sci 2023; 24:16480. [PMID: 38003671 PMCID: PMC10671460 DOI: 10.3390/ijms242216480] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/12/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
The association of diabetes with cognitive dysfunction has at least 60 years of history, which started with the observation that children with type 1 diabetes mellitus (T1D), who had recurrent episodes of hypoglycemia and consequently low glucose supply to the brain, showed a deficit of cognitive capacity. Later, the growing incidence of type 2 diabetes mellitus (T2D) and dementia in aged populations revealed their high association, in which a reduced neuronal glucose supply has also been considered as a key mechanism, despite hyperglycemia. Here, we discuss the role of glucose in neuronal functioning/preservation, and how peripheral blood glucose accesses the neuronal intracellular compartment, including the exquisite glucose flux across the blood-brain barrier (BBB) and the complex network of glucose transporters, in dementia-related areas such as the hippocampus. In addition, insulin resistance-induced abnormalities in the hippocampus of obese/T2D patients, such as inflammatory stress, oxidative stress, and mitochondrial stress, increased generation of advanced glycated end products and BBB dysfunction, as well as their association with dementia/Alzheimer's disease, are addressed. Finally, we discuss how these abnormalities are accompained by the reduction in the expression and translocation of the high capacity insulin-sensitive glucose transporter GLUT4 in hippocampal neurons, which leads to neurocytoglycopenia and eventually to cognitive dysfunction. This knowledge should further encourage investigations into the beneficial effects of promising therapeutic approaches which could improve central insulin sensitivity and GLUT4 expression, to fight diabetes-related cognitive dysfunctions.
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Affiliation(s)
- Caio Yogi Yonamine
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark;
| | - Maria Luiza Estimo Michalani
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (M.L.E.M.); (R.J.M.)
| | - Rafael Junges Moreira
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (M.L.E.M.); (R.J.M.)
| | - Ubiratan Fabres Machado
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (M.L.E.M.); (R.J.M.)
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Misicka E, Gunzler D, Albert J, Briggs FBS. Characterizing causal relationships of visceral fat and body shape on multiple sclerosis risk. Mult Scler Relat Disord 2023; 79:104964. [PMID: 37659350 PMCID: PMC10873055 DOI: 10.1016/j.msard.2023.104964] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 07/24/2023] [Accepted: 08/28/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Epidemiologic studies have established obesity as a risk factor for multiple sclerosis (MS). These studies relied on body-mass index (BMI) and body size silhouettes as the primary measures of obesity. Unfortunately, the causal mechanisms through which obesity confers MS risk are not yet known. OBJECTIVES To investigate the causal effects of multiple specific measures of body fat on MS risk in populations of European descent, using Mendelian randomization (MR). METHODS MR is a genetic instrumental variable analysis utilizing genome-wide association (GWA) summary statistics to infer causality between phenotypes. MR analyses were performed to investigate the relationships between seven measures of body fat (BMI, waist-hip ratio, visceral adipose tissue [VAT], subcutaneous adipose tissue, and arm-, leg-, and trunk-fat to total body fat ratio) and MS risk. RESULTS Only BMI and VAT were significantly associated with MS risk in separate MR analyses (βBMI=0.27, pBMI<0.001; βVAT=0.28, pVAT=0.006). High correlation between BMI and VAT instruments suggest that two-sample MR associations for BMI and VAT likely capture the same causal mechanisms. CONCLUSIONS BMI and VAT were causally associated with MS risk in European populations, though their effects do not appear independent, suggesting overlap in the role of overall body mass and visceral obesity in MS pathogenesis.
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Affiliation(s)
- Elina Misicka
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Douglas Gunzler
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA; Center for Health Care Research and Policy, Case Western Reserve School of Medicine, Cleveland, OH, USA
| | - Jeffrey Albert
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Farren B S Briggs
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
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10
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Li X, Gao Y, Li B, Zhao W, Cai Q, Yin W, Zeng S, Li X, Gao H, Cheng M. Integrated proteomics and metabolomics analysis of D-pinitol function during hippocampal damage in streptozocin-induced aging-accelerated mice. Front Mol Neurosci 2023; 16:1251513. [PMID: 38025258 PMCID: PMC10664147 DOI: 10.3389/fnmol.2023.1251513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose Diabetes can cause hippocampal damage and lead to cognitive impairment. Diabetic cognitive impairment (DCI) is a chronic complication of diabetes associated with a high disability rate; however, its pathogenesis and therapeutic targets are unclear. We aimed to explore the mechanism of hippocampal damage during diabetes and evaluate the potential role of D-pinitol (DP) in protecting hippocampal tissue and improving cognitive dysfunction. Methods DP (150 mg/kg/day) was administered intragastrically to streptozocin-induced aging-accelerated mice for 8 weeks. Hippocampal tissues were examined using tandem mass tag (TMT)-based proteomics and liquid chromatography-mass spectrometry (LC-MS)/MS-based non-targeted metabolomic analysis. Differentially expressed proteins (DEPs) and differentially regulated metabolites (DRMs) were screened for further analysis, and some DEPs were verified using western blotting. Results Our results showed that 329 proteins had significantly altered hippocampal expression in untreated diabetic mice (DM), which was restored to normal after DP treatment in 72 cases. In total, 207 DRMs were identified in the DM group, and the expression of 32 DRMs was restored to normal post-DP treatment. These proteins and metabolites are involved in metabolic pathways (purine metabolism, arginine and proline metabolism, and histidine metabolism), actin cytoskeleton regulation, oxidative phosphorylation, and Rap1-mediated signaling. Conclusions Our study may help to better understand the mechanism of diabetic hippocampal damage and cognitive impairment and suggest a potential therapeutic target.
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Affiliation(s)
- Xiaoxia Li
- Department of Geriatric Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Jinan Clinical Research Center for Geriatric Medicine, Jinan, China
- Department of Diabetes, The Third People's Hospital of Gansu Province, Lanzhou, China
| | - Yuan Gao
- Department of Geriatric Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Jinan Clinical Research Center for Geriatric Medicine, Jinan, China
| | - Baoying Li
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Health Management Center (East Area), Qilu Hospital of Shandong University, Jinan, China
| | - Wenqian Zhao
- Department of Geriatric Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Jinan Clinical Research Center for Geriatric Medicine, Jinan, China
| | - Qian Cai
- Department of Geriatric Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Jinan Clinical Research Center for Geriatric Medicine, Jinan, China
| | - Wenbin Yin
- Department of Geriatric Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Jinan Clinical Research Center for Geriatric Medicine, Jinan, China
| | - Shudong Zeng
- Department of Geriatric Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Jinan Clinical Research Center for Geriatric Medicine, Jinan, China
| | - Xiaoli Li
- Department of Pharmacy, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Haiqing Gao
- Department of Geriatric Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Jinan Clinical Research Center for Geriatric Medicine, Jinan, China
| | - Mei Cheng
- Department of Geriatric Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Jinan Clinical Research Center for Geriatric Medicine, Jinan, China
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Mohamed-Mohamed H, García-Morales V, Sánchez Lara EM, González-Acedo A, Pardo-Moreno T, Tovar-Gálvez MI, Melguizo-Rodríguez L, Ramos-Rodríguez JJ. Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer's Disease. Neurol Int 2023; 15:1253-1272. [PMID: 37873836 PMCID: PMC10594452 DOI: 10.3390/neurolint15040079] [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: 08/18/2023] [Revised: 10/06/2023] [Accepted: 10/08/2023] [Indexed: 10/25/2023] Open
Abstract
Type 2 diabetes mellitus (T2D) is a metabolic disease reaching pandemic levels worldwide. In parallel, Alzheimer's disease (AD) and vascular dementia (VaD) are the two leading causes of dementia in an increasingly long-living Western society. Numerous epidemiological studies support the role of T2D as a risk factor for the development of dementia. However, few basic science studies have focused on the possible mechanisms involved in this relationship. On the other hand, this review of the literature also aims to explore the relationship between T2D, AD and VaD. The data found show that there are several alterations in the central nervous system that may be promoting the development of T2D. In addition, there are some mechanisms by which T2D may contribute to the development of neurodegenerative diseases such as AD or VaD.
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Affiliation(s)
- Himan Mohamed-Mohamed
- Department of Physiology, Faculty of Health Sciences of Ceuta, University of Granada, 51001 Ceuta, Spain
| | - Victoria García-Morales
- Physiology Area, Department of Biomedicine, Biotechnology and Public Health, Faculty of Medicine, University of Cádiz, Pl. Falla, 9, 11003 Cádiz, Spain
| | - Encarnación María Sánchez Lara
- Department of Personalidad, Evaluación y Tratamiento Psicológico, Faculty of Health Sciences (Ceuta), University of Granada, 51001 Ceuta, Spain;
| | - Anabel González-Acedo
- Department of Nursing, Faculty of Health Sciences of Ceuta, University of Granada, 51001 Ceuta, Spain
- Biomedical Group (BIO277), Department of Nursing, Faculty of Health Sciences, University of Granada, 18016 Granada, Spain
| | - Teresa Pardo-Moreno
- Department of Nursing, Faculty of Health Sciences of Ceuta, University of Granada, 51001 Ceuta, Spain
| | - María Isabel Tovar-Gálvez
- Department of Nursing, Faculty of Health Sciences of Ceuta, University of Granada, 51001 Ceuta, Spain
| | - Lucía Melguizo-Rodríguez
- Department of Nursing, Faculty of Health Sciences of Ceuta, University of Granada, 51001 Ceuta, Spain
- Biomedical Group (BIO277), Department of Nursing, Faculty of Health Sciences, University of Granada, 18016 Granada, Spain
| | - Juan José Ramos-Rodríguez
- Department of Physiology, Faculty of Health Sciences of Ceuta, University of Granada, 51001 Ceuta, Spain
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12
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Cui F, Ouyang ZQ, Zeng YZ, Ling BB, Shi L, Zhu Y, Gu HY, Jiang WL, Zhou T, Sun XJ, Han D, Lu Y. Effects of hypertension on subcortical nucleus morphological alternations in patients with type 2 diabetes. Front Endocrinol (Lausanne) 2023; 14:1201281. [PMID: 37780620 PMCID: PMC10534025 DOI: 10.3389/fendo.2023.1201281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/28/2023] [Indexed: 10/03/2023] Open
Abstract
Objectives Type 2 diabetes mellitus(T2DM) and hypertension(HTN) are common comorbidities, and known to affect the brain. However, little is known about the effects of the coexisting HTN on brain in T2DM patients. So we aim to investigate the impact of HTN on the subcortical nucleus morphological alternations in T2DM patients. Materials & methods This work was registered by the clinicaltrials.gov (grant number NCT03564431). We recruited a total of 92 participants, comprising 36 only T2DM patients, 28 T2DM patients with HTN(T2DMH) and 28 healthy controls(HCs) in our study. All clinical indicators were assessed and brain image data was collected for each participant. Voxel-based morphometry(VBM), automatic volume and vertex-based shape analyses were used to determine the subcortical nucleus alternations from each participant's 3D-T1 brain images and evaluate the relationship between the alternations and clinical indicators. Results T2DMH patients exhibited volumetric reduction and morphological alterations in thalamus compared to T2DM patients, whereas T2DM patients did not demonstrate any significant subcortical alterations compared to HCs. Furthermore, negative correlations have been found between thalamic alternations and the duration of HTN in T2DMH patients. Conclusion Our results revealed that HTN may exacerbate subcortical nucleus alternations in T2DM patients, which highlighted the importance of HTN management in T2DM patients to prevent further damage to the brain health.
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Affiliation(s)
- Feng Cui
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Zhi-Qiang Ouyang
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yi-Zhen Zeng
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Bing-Bing Ling
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Li Shi
- Department of Endocrinology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yun Zhu
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - He-Yi Gu
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Wan-Lin Jiang
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Ting Zhou
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xue-Jin Sun
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Dan Han
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yi Lu
- Department of Medical Imaging, Laboratory of Brain Function, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
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Wilson JB, Epstein M, Lopez B, Brown AK, Lutfy K, Friedman TC. The role of Neurochemicals, Stress Hormones and Immune System in the Positive Feedback Loops between Diabetes, Obesity and Depression. Front Endocrinol (Lausanne) 2023; 14:1224612. [PMID: 37664841 PMCID: PMC10470111 DOI: 10.3389/fendo.2023.1224612] [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: 05/17/2023] [Accepted: 07/25/2023] [Indexed: 09/05/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) and depression are significant public health and socioeconomic issues. They commonly co-occur, with T2DM occurring in 11.3% of the US population, while depression has a prevalence of about 9%, with higher rates among youths. Approximately 31% of patients with T2DM suffer from depressive symptoms, with 11.4% having major depressive disorders, which is twice as high as the prevalence of depression in patients without T2DM. Additionally, over 80% of people with T2DM are overweight or obese. This review describes how T2DM and depression can enhance one another, using the same molecular pathways, by synergistically altering the brain's structure and function and reducing the reward obtained from eating. In this article, we reviewed the evidence that eating, especially high-caloric foods, stimulates the limbic system, initiating Reward Deficiency Syndrome. Analogous to other addictive behaviors, neurochemical changes in those with depression and/or T2DM are thought to cause individuals to increase their food intake to obtain the same reward leading to binge eating, weight gain and obesity. Treating the symptoms of T2DM, such as lowering HbA1c, without addressing the underlying pathways has little chance of eliminating the disease. Targeting the immune system, stress circuit, melatonin, and other alterations may be more effective.
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Affiliation(s)
- Julian B. Wilson
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
| | - Ma’ayan Epstein
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Psychiatric Emergency Room, Olive View – University of California, Los Angeles (UCLA) Medical Center, Sylmar, CA, United States
| | - Briana Lopez
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Friends Research Institute, Cerritos, CA, United States
| | - Amira K. Brown
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
| | - Kabirullah Lutfy
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- College of Pharmacy, Western University of Health Sciences, Pomona, CA, United States
| | - Theodore C. Friedman
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Friends Research Institute, Cerritos, CA, United States
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14
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Rajabli F, Benchek P, Tosto G, Kushch N, Sha J, Bazemore K, Zhu C, Lee WP, Haut J, Hamilton-Nelson KL, Wheeler NR, Zhao Y, Farrell JJ, Grunin MA, Leung YY, Kuksa PP, Li D, Lucio da Fonseca E, Mez JB, Palmer EL, Pillai J, Sherva RM, Song YE, Zhang X, Iqbal T, Pathak O, Valladares O, Kuzma AB, Abner E, Adams PM, Aguirre A, Albert MS, Albin RL, Allen M, Alvarez L, Apostolova LG, Arnold SE, Asthana S, Atwood CS, Ayres G, Baldwin CT, Barber RC, Barnes LL, Barral S, Beach TG, Becker JT, Beecham GW, Beekly D, Benitez BA, Bennett D, Bertelson J, Bird TD, Blacker D, Boeve BF, Bowen JD, Boxer A, Brewer J, Burke JR, Burns JM, Buxbaum JD, Cairns NJ, Cantwell LB, Cao C, Carlson CS, Carlsson CM, Carney RM, Carrasquillo MM, Chasse S, Chesselet MF, Chin NA, Chui HC, Chung J, Craft S, Crane PK, Cribbs DH, Crocco EA, Cruchaga C, Cuccaro ML, Cullum M, Darby E, Davis B, De Jager PL, DeCarli C, DeToledo J, Dick M, Dickson DW, Dombroski BA, Doody RS, Duara R, Ertekin-Taner NI, Evans DA, Faber KM, Fairchild TJ, Fallon KB, Fardo DW, Farlow MR, Fernandez-Hernandez V, Ferris S, Foroud TM, Frosch MP, Fulton-Howard B, Galasko DR, Gamboa A, Gearing M, Geschwind DH, Ghetti B, Gilbert JR, Goate AM, Grabowski TJ, Graff-Radford NR, Green RC, Growdon JH, Hakonarson H, Hall J, Hamilton RL, Harari O, Hardy J, Harrell LE, Head E, Henderson VW, Hernandez M, Hohman T, Honig LS, Huebinger RM, Huentelman MJ, Hulette CM, Hyman BT, Hynan LS, Ibanez L, Jarvik GP, Jayadev S, Jin LW, Johnson K, Johnson L, Kamboh MI, Karydas AM, Katz MJ, Kauwe JS, Kaye JA, Keene CD, Khaleeq A, Kim R, Knebl J, Kowall NW, Kramer JH, Kukull WA, LaFerla FM, Lah JJ, Larson EB, Lerner A, Leverenz JB, Levey AI, Lieberman AP, Lipton RB, Logue M, Lopez OL, Lunetta KL, Lyketsos CG, Mains D, Margaret FE, Marson DC, Martin ERR, Martiniuk F, Mash DC, Masliah E, Massman P, Masurkar A, McCormick WC, McCurry SM, McDavid AN, McDonough S, McKee AC, Mesulam M, Miller BL, Miller CA, Miller JW, Montine TJ, Monuki ES, Morris JC, Mukherjee S, Myers AJ, Nguyen T, O'Bryant S, Olichney JM, Ory M, Palmer R, Parisi JE, Paulson HL, Pavlik V, Paydarfar D, Perez V, Peskind E, Petersen RC, Pierce A, Polk M, Poon WW, Potter H, Qu L, Quiceno M, Quinn JF, Raj A, Raskind M, Reiman EM, Reisberg B, Reisch JS, Ringman JM, Roberson ED, Rodriguear M, Rogaeva E, Rosen HJ, Rosenberg RN, Royall DR, Sager MA, Sano M, Saykin AJ, Schneider JA, Schneider LS, Seeley WW, Slifer SH, Small S, Smith AG, Smith JP, Sonnen JA, Spina S, St George-Hyslop P, Stern RA, Stevens AB, Strittmatter SM, Sultzer D, Swerdlow RH, Tanzi RE, Tilson JL, Trojanowski JQ, Troncoso JC, Tsuang DW, Van Deerlin VM, van Eldik LJ, Vance JM, Vardarajan BN, Vassar R, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Whitehead PL, Wijsman EM, Wilhelmsen KC, Williams B, Williamson J, Wilms H, Wingo TS, Wisniewski T, Woltjer RL, Woon M, Wright CB, Wu CK, Younkin SG, Yu CE, Yu L, Zhu X, Kunkle BW, Bush WS, Wang LS, Farrer LA, Haines JL, Mayeux R, Pericak-Vance MA, Schellenberg GD, Jun GR, Reitz C, Naj AC. Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies LRRC4C, LHX5-AS1 and nominates ancestry-specific loci PTPRK , GRB14 , and KIAA0825 as novel risk loci for Alzheimer's disease: the Alzheimer's Disease Genetics Consortium. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.06.23292311. [PMID: 37461624 PMCID: PMC10350126 DOI: 10.1101/2023.07.06.23292311] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in non-European ancestry groups in genome-wide association studies (GWAS). We constructed and analyzed a multi-ancestry GWAS dataset in the Alzheimer's Disease (AD) Genetics Consortium (ADGC) to test for novel shared and ancestry-specific AD susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6,728 African American, 8,899 Hispanic (HIS), and 3,232 East Asian individuals, performing within-ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis. We identified 13 loci with cross-ancestry associations including known loci at/near CR1 , BIN1 , TREM2 , CD2AP , PTK2B , CLU , SHARPIN , MS4A6A , PICALM , ABCA7 , APOE and two novel loci not previously reported at 11p12 ( LRRC4C ) and 12q24.13 ( LHX5-AS1 ). Reflecting the power of diverse ancestry in GWAS, we observed the SHARPIN locus using 7.1% the sample size of the original discovering single-ancestry GWAS (n=788,989). We additionally identified three GWS ancestry-specific loci at/near ( PTPRK ( P =2.4×10 -8 ) and GRB14 ( P =1.7×10 -8 ) in HIS), and KIAA0825 ( P =2.9×10 -8 in NHW). Pathway analysis implicated multiple amyloid regulation pathways (strongest with P adjusted =1.6×10 -4 ) and the classical complement pathway ( P adjusted =1.3×10 -3 ). Genes at/near our novel loci have known roles in neuronal development ( LRRC4C, LHX5-AS1 , and PTPRK ) and insulin receptor activity regulation ( GRB14 ). These findings provide compelling support for using traditionally-underrepresented populations for gene discovery, even with smaller sample sizes.
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Zhang S, Zhang Y, Wen Z, Yang Y, Bu T, Bu X, Ni Q. Cognitive dysfunction in diabetes: abnormal glucose metabolic regulation in the brain. Front Endocrinol (Lausanne) 2023; 14:1192602. [PMID: 37396164 PMCID: PMC10312370 DOI: 10.3389/fendo.2023.1192602] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/25/2023] [Indexed: 07/04/2023] Open
Abstract
Cognitive dysfunction is increasingly recognized as a complication and comorbidity of diabetes, supported by evidence of abnormal brain structure and function. Although few mechanistic metabolic studies have shown clear pathophysiological links between diabetes and cognitive dysfunction, there are several plausible ways in which this connection may occur. Since, brain functions require a constant supply of glucose as an energy source, the brain may be more susceptible to abnormalities in glucose metabolism. Glucose metabolic abnormalities under diabetic conditions may play an important role in cognitive dysfunction by affecting glucose transport and reducing glucose metabolism. These changes, along with oxidative stress, inflammation, mitochondrial dysfunction, and other factors, can affect synaptic transmission, neural plasticity, and ultimately lead to impaired neuronal and cognitive function. Insulin signal triggers intracellular signal transduction that regulates glucose transport and metabolism. Insulin resistance, one hallmark of diabetes, has also been linked with impaired cerebral glucose metabolism in the brain. In this review, we conclude that glucose metabolic abnormalities play a critical role in the pathophysiological alterations underlying diabetic cognitive dysfunction (DCD), which is associated with multiple pathogenic factors such as oxidative stress, mitochondrial dysfunction, inflammation, and others. Brain insulin resistance is highly emphasized and characterized as an important pathogenic mechanism in the DCD.
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Affiliation(s)
| | | | | | | | | | | | - Qing Ni
- Department of Endocrinology, Guang’ anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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16
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Yonamine CY, Passarelli M, Suemoto CK, Pasqualucci CA, Jacob-Filho W, Alves VAF, Marie SKN, Correa-Giannella ML, Britto LR, Machado UF. Postmortem Brains from Subjects with Diabetes Mellitus Display Reduced GLUT4 Expression and Soma Area in Hippocampal Neurons: Potential Involvement of Inflammation. Cells 2023; 12:cells12091250. [PMID: 37174649 PMCID: PMC10177173 DOI: 10.3390/cells12091250] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 04/13/2023] [Accepted: 04/23/2023] [Indexed: 05/15/2023] Open
Abstract
Diabetes mellitus (DM) is an important risk factor for dementia, which is a common neurodegenerative disorder. DM is known to activate inflammation, oxidative stress, and advanced glycation end products (AGEs) generation, all capable of inducing neuronal dysfunctions, thus participating in the neurodegeneration progress. In that process, disturbed neuronal glucose supply plays a key role, which in hippocampal neurons is controlled by the insulin-sensitive glucose transporter type 4 (GLUT4). We investigated the expression of GLUT4, nuclear factor NF-kappa B subunit p65 [NFKB (p65)], carboxymethyllysine and synapsin1 (immunohistochemistry), and soma area in human postmortem hippocampal samples from control, obese, and obese+DM subjects (41 subjects). Moreover, in human SH-SY5Y neurons, tumor necrosis factor (TNF) and glycated albumin (GA) effects were investigated in GLUT4, synapsin-1 (SYN1), tyrosine hydroxylase (TH), synaptophysin (SYP) proteins, and respective genes; NFKB binding activity in the SLC2A4 promoter; effects of increased histone acetylation grade by histone deacetylase 3 (HDAC3) inhibition. Hippocampal neurons (CA4 area) of obese+DM subjects displayed reduced GLUT4 expression and neuronal soma area, associated with increased expression of NFKB (p65). Challenges with TNF and GA decreased the SLC2A4/GLUT4 expression in SH-SY5Y neurons. TNF decreased SYN1, TH, and SYP mRNAs and respective proteins, and increased NFKB binding activity in the SLC2A4 promoter. Inhibition of HDAC3 increased the SLC2A4 expression and the total neuronal content of CRE-binding proteins (CREB/ICER), and also counterbalanced the repressor effect of TNF upon these parameters. This study revealed reduced postmortem human hippocampal GLUT4 content and neuronal soma area accompanied by increased proinflammatory activity in the brains of DM subjects. In isolated human neurons, inflammatory activation by TNF reduced not only the SLC2A4/GLUT4 expression but also the expression of some genes related to neuronal function (SYN1, TH, SYP). These effects may be related to epigenetic regulations (H3Kac and H4Kac status) since they can be counterbalanced by inhibiting HDAC3. These results uncover the improvement in GLUT4 expression and/or the inhibition of HDAC3 as promising therapeutic targets to fight DM-related neurodegeneration.
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Affiliation(s)
- Caio Yogi Yonamine
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Marisa Passarelli
- Laboratório de Lipides (LIM-10) do HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-000, Brazil
- Programa de Pos-Graduação em Medicina, Universidade Nove de Julho (UNINOVE), São Paulo 01525-000, Brazil
| | - Claudia Kimie Suemoto
- Divisao de Geriatria, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo 01246-000, Brazil
| | | | - Wilson Jacob-Filho
- Divisao de Geriatria, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo 01246-000, Brazil
| | - Venâncio Avancini Ferreira Alves
- Laboratório de Investigação Médica em Patologia Hepática, (LIM14) do Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-000, Brazil
| | | | - Maria Lucia Correa-Giannella
- Laboratorio de Carboidratos e Radioimunoensaio (LIM-18) do Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo 01246-000, Brazil
| | - Luiz Roberto Britto
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil
| | - Ubiratan Fabres Machado
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil
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17
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Umemura T, Kawamura T. Neuroprotective properties of DPP-4i: A therapeutic target for dementia prevention in elderly diabetic patients? J Diabetes Investig 2023; 14:525-527. [PMID: 36617734 PMCID: PMC10034947 DOI: 10.1111/jdi.13972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/13/2022] [Accepted: 12/22/2022] [Indexed: 01/10/2023] Open
Abstract
Possible mechanisms of Alzheimer's disease-related cognitive impairment in patients with diabetes mellitus are shown in this figure. DPP-4i may modulate Aβ accumulation in the process of AD-related cognitive impairment.
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Affiliation(s)
| | - Takahiko Kawamura
- Department of Diabetes and Endocrine Internal Medicine, Chubu Rosai Hospital, Nagoya, Japan
- Department of Center for Preventive Medicine, Chubu Rosai Hospital, Nagoya, Japan
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18
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Li M, Yao L, He M, Huang H, Zheng H, Ma S, Zhong Z, Yu S, Sun M, Wang H. "Adjust Zang and arouse spirit" electroacupuncture ameliorates cognitive impairment by reducing endoplasmic reticulum stress in db/db mice. Front Endocrinol (Lausanne) 2023; 14:1185022. [PMID: 37152933 PMCID: PMC10154981 DOI: 10.3389/fendo.2023.1185022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 04/03/2023] [Indexed: 05/09/2023] Open
Abstract
Introduction Diabetic cognitive impairment (DCI) is a chronic complication of the central nervous system (CNS) caused by diabetes that affects learning and memory capacities over time. Recently, acupuncture has been shown to improve cognitive impairment in streptozotocin-induced diabetic rats. However, the effects of electroacupuncture on DCI and its underlying mechanism have not yet been elucidated in detail. Methods In this study, we used db/db mice as DCI animal models which showed low cognitive, learning and memory functions. Electroacupuncture significantly ameliorated DCI, which is reflected by better spatial learning and memory function using behavioral tests. The db/db mice with cognitive impairment were randomly divided into a model group (Mod) and an electroacupuncture treatment group (Acup), while db/m mice were used as a normal control group (Con). First, the mice were subjected to behavioural tests using the Morris water maze (MWM), and body weight, blood glucose, insulin, triglycerides (TG) and total cholesterol (TC) were observed; HE, Nissl, and TUNEL staining were used to observe the morphological changes and neuronal apoptosis in the mice hippocampus; Finally, Western blot and rt-PCR were applied to detect the essential proteins and mRNA of ERS and insulin signalling pathway, as well as the expression levels of Tau and Aβ. Results Electroacupuncture significantly ameliorated DCI, which is reflected by better spatial learning and memory function using behavioral tests. Moreover, electroacupuncture attenuated diabetes-induced morphological structure change, neuronal apoptosis in the hippocampus of db/db mice. Our results revealed that electroacupuncture could regulate the expression levels of Tau and Aβ by improving hippocampal ERS levels in db/db mice, inhibiting JNK activation, attenuating IRS1 serine phosphorylation, and restoring normal transduction of the insulin signaling pathway. Discussion In summary, ERS and insulin signaling pathway paly causal roles in DCI development. Electroacupuncture can significantly alleviate the pathogenesis of DCI, improve mice's learning and memory ability, and improve cognitive dysfunction. This study adds to our understanding of the effect of acupuncture on DCI and opens the door to further research on DCI.
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Affiliation(s)
- Mengyuan Li
- Institute of Acupuncture and Massage, Northeast Asian Institute of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun Jilin, China
| | - Lin Yao
- Institute of Acupuncture and Massage, Northeast Asian Institute of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun Jilin, China
| | - Min He
- Institute of Acupuncture and Massage, Northeast Asian Institute of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun Jilin, China
| | - Haipeng Huang
- Northeast Asian Institute of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
| | - Haizhu Zheng
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun Jilin, China
| | - Shiqi Ma
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun Jilin, China
| | - Zhen Zhong
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun Jilin, China
| | - Shuo Yu
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun Jilin, China
| | - Mengmeng Sun
- Institute of Acupuncture and Massage, Northeast Asian Institute of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun Jilin, China
- *Correspondence: Hongfeng Wang, ; Mengmeng Sun,
| | - Hongfeng Wang
- Northeast Asian Institute of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
- *Correspondence: Hongfeng Wang, ; Mengmeng Sun,
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19
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Cui Y, Tang TY, Lu CQ, Ju S. Insulin Resistance and Cognitive Impairment: Evidence From Neuroimaging. J Magn Reson Imaging 2022; 56:1621-1649. [PMID: 35852470 DOI: 10.1002/jmri.28358] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 07/02/2022] [Accepted: 07/05/2022] [Indexed: 01/04/2023] Open
Abstract
Insulin is a peptide well known for its role in regulating glucose metabolism in peripheral tissues. Emerging evidence from human and animal studies indicate the multifactorial role of insulin in the brain, such as neuronal and glial metabolism, glucose regulation, and cognitive processes. Insulin resistance (IR), defined as reduced sensitivity to the action of insulin, has been consistently proposed as an important risk factor for developing neurodegeneration and cognitive impairment. Although the exact mechanism of IR-related cognitive impairment still awaits further elucidation, neuroimaging offers a versatile set of novel contrasts to reveal the subtle cerebral abnormalities in IR. These imaging contrasts, including but not limited to brain volume, white matter (WM) microstructure, neural function and brain metabolism, are expected to unravel the nature of the link between IR, cognitive decline, and brain abnormalities, and their changes over time. This review summarizes the current neuroimaging studies with multiparametric techniques, focusing on the cerebral abnormalities related to IR and therapeutic effects of IR-targeting treatments. According to the results, brain regions associated with IR pathophysiology include the medial temporal lobe, hippocampus, prefrontal lobe, cingulate cortex, precuneus, occipital lobe, and the WM tracts across the globe. Of these, alterations in the temporal lobe are highly reproducible across different imaging modalities. These structures have been known to be vulnerable to Alzheimer's disease (AD) pathology and are critical in cognitive processes such as memory and executive functioning. Comparing to asymptomatic subjects, results are more mixed in patients with metabolic disorders such as type 2 diabetes and obesity, which might be attributed to a multifactorial mechanism. Taken together, neuroimaging, especially MRI, is beneficial to reveal early abnormalities in cerebral structure and function in insulin-resistant brain, providing important evidence to unravel the underlying neuronal substrate that reflects the cognitive decline in IR. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Ying Cui
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Tian-Yu Tang
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Chun-Qiang Lu
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Shenghong Ju
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
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20
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Hypoglycemic Effect of Exopolysaccharide from Lactiplantibacillus plantarum JLAU103 on Streptozotocin and High-Fat Diet-Induced Type 2 Diabetic Mice. Foods 2022; 11:foods11223571. [PMID: 36429163 PMCID: PMC9689433 DOI: 10.3390/foods11223571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022] Open
Abstract
Two doses (300 mg/kg bw and 600 mg/kg bw) of the Lactiplantibacillus plantarum JLAU103 exopolysaccharide (EPS103) were orally administered to a type 2 diabetic (T2DM) mouse model induced by streptozotocin and a high-fat diet. The hypoglycemic, hypolipidemic and neuroprotective effects of EPS103 on T2DM mice were evaluated. The results indicated that administration of EPS103 could alleviate insulin resistance, reduce the levels of fasting blood glucose, glycosylated hemoglobin A1c, leptin and fasting serum insulin, improve glucose tolerance, protect pancreas and liver, and modulate blood lipid disorders. EPS103 promoted hepatic glycogen synthesis by upregulating the phosphorylation of GSK3β. Meanwhile, it upregulated the phosphorylation of IRS-1, PI3K and Akt, as well as the expression of IRS-2 and GLUT4, and downregulated the expression of PEPCK, G6Pase and PGC-1α, indicating that EPS103 promotes the uptake and transport of glucose and inhibits gluconeogenesis, which might be related to the activation of the IRS-1/PI3K/Akt pathway. Additionally, EPS103 can protect against brain nerve damage through improving oxidative stress injury, restoring the expression of IRS-2, alleviating neuronal apoptosis and inhibiting inflammation in the hippocampus of T2DM mice. Taken together, our results demonstrated that EPS103 may be a potential therapeutic agent for the treatment of T2DM.
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21
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Gregory S, Blennow K, Homer NZM, Ritchie CW, Muniz‐Terrera G. Self-reported diabetes is associated with allocentric spatial processing in the European Prevention of Alzheimer's Dementia Longitudinal Cohort Study. Eur J Neurosci 2022; 56:5917-5930. [PMID: 36103146 PMCID: PMC9828025 DOI: 10.1111/ejn.15821] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 01/12/2023]
Abstract
Type 2 diabetes is a robust predictor of cognitive impairment. Impairment in allocentric processing may help identify those at increased risk for Alzheimer's disease dementia. The objective of this study was to investigate the performance of participants with and without diabetes on a task of allocentric spatial processing. This was a cross-sectional secondary data analysis study using baseline data from the European Prevention of Alzheimer's Dementia Longitudinal Cohort Study (EPAD LCS). Participants were aged 50 years and above and were free of dementia at baseline. Participants with no missing data on the variables of interest were included in this study. Our exposure variable was diabetes reported in the medical history. Our primary outcome was the Four Mountains Test (4MT), a novel task of allocentric processing. Covariates included demographics (age, sex, family history of dementia and years of education), APOEε4 carrier status, cognitive status (Clinical Dementia Rating scale), cerebrospinal fluid phosphorylated tau and amyloid-beta 1-42. Of 1324 participants (mean age = 65.95 (±7.45)), 90 had diabetes. Participants with diabetes scored 8.32 (±2.32) on the 4MT compared with 9.24 (±2.60) for participants without diabetes. In a univariate model, diabetes was significantly associated with worse 4MT total scores (β = -.92, p = .001), remaining significant in a fully adjusted model (β = -.64, p = .01). Cerebrospinal fluid phosphorylated tau was significantly higher in participants with diabetes compared with those without. Novel cognitive tests, such as the 4MT, may be appropriate to identify early cognitive changes in this high-risk group. Identifying those at greatest risk for future neurodegeneration is key to prevention efforts.
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Affiliation(s)
- Sarah Gregory
- Edinburgh Dementia Prevention, Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | - Kaj Blennow
- Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden,Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Natalie Z. M. Homer
- Mass Spectrometry Core, Edinburgh Clinical Research Facility, Queen's Medical Research InstituteUniversity of EdinburghEdinburghUK
| | - Craig W. Ritchie
- Edinburgh Dementia Prevention, Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | - Graciela Muniz‐Terrera
- Edinburgh Dementia Prevention, Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK,Ohio State UniversityColumbusOhioUSA
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22
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Marissal-Arvy N, Moisan MP. Diabetes and associated cognitive disorders: Role of the Hypothalamic-Pituitary Adrenal axis. Metabol Open 2022; 15:100202. [PMID: 35958117 PMCID: PMC9357829 DOI: 10.1016/j.metop.2022.100202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 11/12/2022] Open
Abstract
Both diabetes types, types 1 and 2, are associated with cognitive impairments. Each period of life is concerned, and this is an increasing public health problem. Animal models have been developed to investigate the biological actors involved in such impairments. Many levels of the brain function (structure, volume, neurogenesis, neurotransmission, behavior) are involved. In this review, we detailed the part potentially played by the Hypothalamic-Pituitary Adrenal axis in these dysfunctions. Notably, regulating glucocorticoid levels, their receptors and their bioavailability appear to be relevant for future research studies, and treatment development.
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23
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Zhang T, Shaw M, Cherbuin N. Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis. Diabetes Metab J 2022; 46:781-802. [PMID: 35255549 PMCID: PMC9532183 DOI: 10.4093/dmj.2021.0189] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/11/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is known to be associated with cognitive decline and brain structural changes. This study systematically reviews and estimates human brain volumetric differences and atrophy associated with T2DM. METHODS PubMed, PsycInfo and Cochrane Library were searched for brain imaging studies reporting on brain volume differences between individuals with T2DM and healthy controls. Data were examined using meta-analysis, and association between age, sex, diabetes characteristics and brain volumes were tested using meta-regression. RESULTS A total of 14,605 entries were identified; after title, abstract and full-text screening applying inclusion and exclusion criteria, 64 studies were included and 42 studies with compatible data contributed to the meta-analysis (n=31,630; mean age 71.0 years; 44.4% male; 26,942 control; 4,688 diabetes). Individuals with T2DM had significantly smaller total brain volume, total grey matter volume, total white matter volume and hippocampal volume (approximately 1% to 4%); meta-analyses of smaller samples focusing on other brain regions and brain atrophy rate in longitudinal investigations also indicated smaller brain volumes and greater brain atrophy associated with T2DM. Meta-regression suggests that diabetes-related brain volume differences start occurring in early adulthood, decreases with age and increases with diabetes duration. CONCLUSION T2DM is associated with smaller total and regional brain volume and greater atrophy over time. These effects are substantial and highlight an urgent need to develop interventions to reduce the risk of T2DM for brain health.
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Affiliation(s)
- Tianqi Zhang
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia
| | - Marnie Shaw
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia
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24
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Hirabayashi N, Hata J, Furuta Y, Ohara T, Shibata M, Hirakawa Y, Yamashita F, Yoshihara K, Kitazono T, Sudo N, Ninomiya T. Association Between Diabetes and Gray Matter Atrophy Patterns in a General Older Japanese Population: The Hisayama Study. Diabetes Care 2022; 45:1364-1371. [PMID: 35500069 DOI: 10.2337/dc21-1911] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 03/25/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To examine the association between diabetes and gray matter atrophy patterns in a general older Japanese population. RESEARCH DESIGN AND METHODS In 2012, a total of 1,189 community-dwelling Japanese aged ≥65 years underwent brain MRI scans. Regional gray matter volumes (GMV) and intracranial volume (ICV) were measured by applying voxel-based morphometry (VBM) methods. The associations of diabetes and related parameters with the regional GMV/ICV were examined using an ANCOVA. The regional gray matter atrophy patterns in the subjects with diabetes or elevated fasting plasma glucose (FPG) or 2-h postload glucose (2hPG) levels were investigated using VBM. RESULTS Subjects with diabetes had significantly lower mean values of GMV/ICV in the frontal lobe, temporal lobe, insula, deep gray matter structures, and cerebellum than subjects without diabetes after adjusting for potential confounders. A longer duration of diabetes was also significantly associated with lower mean values of GMV/ICV in these brain regions. The multivariable-adjusted mean values of the temporal, insular, and deep GMV/ICV decreased significantly with elevating 2hPG levels, whereas higher FPG levels were not significantly associated with GMV/ICV of any brain regions. In the VBM analysis, diabetes was associated with gray matter atrophy in the bilateral superior temporal gyri, right middle temporal gyrus, left inferior temporal gyrus, right middle frontal gyrus, bilateral thalami, right caudate, and right cerebellum. CONCLUSIONS The current study suggests that a longer duration of diabetes and elevated 2hPG levels are significant risk factors for gray matter atrophy in various brain regions.
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Affiliation(s)
- Naoki Hirabayashi
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Ito Clinic, Kyushu University, Fukuoka, Japan.,Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshihiko Furuta
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medical-Engineering Collaboration for Healthy Longevity, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mao Shibata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Hirakawa
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Fumio Yamashita
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Kazufumi Yoshihara
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanari Kitazono
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Nobuyuki Sudo
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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25
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Öcal S, Öcal R, Suna N. Relationship between Helicobacter pylori infection and white matter lesions in patients with migraine. BMC Neurol 2022; 22:187. [PMID: 35597897 PMCID: PMC9123779 DOI: 10.1186/s12883-022-02715-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 05/16/2022] [Indexed: 11/28/2022] Open
Abstract
Background/aim White matter lesions (WML) are more frequently observed in migraine patients than in the average population. Associations between Helicobacter pylori (H. pylori) infection and different extraintestinal pathologies have been identified. Here, we aimed to investigate the association between H. pylori infection and WML in patients diagnosed with episodic migraine. Materials and methods A retrospective study was conducted with 526 subjects with a diagnosis of episodic migraine. Hyperintensity of WML had been previously evaluated in these patients with brain magnetic resonance imaging (MRI) examinations. Previous endoscopic gastric biopsy histopathological examination of the same patients and reports on H. pylori findings were recorded. The demographic characteristics of the patients, such as age, gender and chronic systemic diseases such as hypertension and diabetes mellitus (DM) were recorded. Statistical evaluation was made. Results Evaluation was made among 526 migraine patients who met the inclusion criteria, comprising 397 (75.5%) females and 129 (24.5%) males with a mean age of 45.57 ± 13.46 years (range, 18–69 years). WML was detected on brain MRI in 178 (33.8%) patients who were also positive for H. pylori (p < 0.05). Subjects who are H. pylori-positive with migraine, WML were observed at a 2.5-fold higher incidence on brain MRI (odds ratio: 2.562, 95% CI 1.784–3.680). WML was found to be more significant in patients with hypertension and migraine than those without (p < 0.001). Older age was also found to be associated with WML (OR = 1.07, 95% CI: 0.01–0.04, p < 0.001). The age (p < 0.001), H. pylori (p < 0.001), hypertension (p < 0.001), and hypertension + DM (p < 0.05), had significant associations in predicting WML according to the multivariate logistic regression analysis. The presence of hypertension had a higher odds ratio value than the other variables. Conclusion It was concluded that H. pylori infection, as a chronic infection, can be considered a risk factor in developing WML in subjects with migraine. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-022-02715-0.
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Affiliation(s)
- Serkan Öcal
- Department of Gastroenterology, University of Health Sciences Antalya Training and Research Hospital, Antalya, Turkey.
| | - Ruhsen Öcal
- Antalya Training and Research Hospital Department of Neurology, Antalya, Turkey
| | - Nuretdin Suna
- Department of Gastroenterology, Faculty of Medicine, Başkent University, Ankara, Turkey
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26
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Öksüz Ö, Günver MG, Arıkan MK. Quantitative Electroencephalography Findings in Patients With Diabetes Mellitus. Clin EEG Neurosci 2022; 53:248-255. [PMID: 33729035 DOI: 10.1177/1550059421997657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Objective. Diabetes mellitus (DM) causes structural central nervous system (CNS) impairment, and this situation can be detected by quantitative electroencephalography (QEEG) findings before cognitive impairment is clinically observed. The main aim of this study is to uncover the effect of DM on brain function. Since QEEG reflects the CNS functioning, particularly in cognitive aspects, we expected electrophysiological clues to be found for prevention and follow-up in DM-related cognitive decline. Since a majority of the psychiatric population have cognitive dysfunction, we have given particular attention to those people. It was stated that a decrease was observed in the posterior cortical alpha power due to the hippocampal atrophy by several previous studies and we hypothesize that decreased alpha power will be observed also in DM. Methods. This study included 2094 psychiatric patients, 207 of whom were diagnosed with DM and 1887 of whom were not diagnosed with DM, and QEEG recordings were performed. Eyes-closed electroencephalography data were segmented into consecutive 2 s epochs. Fourier analysis was performed by averaging across 2 s epochs without artifacts. The absolute alpha power in the occipital regions (O1 and O2) of patients with and without DM was compared. Results. In the DM group, a decrease in the absolute alpha, alpha 1, and alpha 2 power in O1 and O2 was observed in comparison with the control group. It was determined that the type of psychiatric diagnosis did not affect QEEG findings. Conclusion. The decrease in absolute alpha power observed in patients diagnosed with DM may be related to the CNS impairment in DM. QEEG findings in DM can be useful while monitoring the CNS impairment, diagnosing DM-related dementia, in the follow-up of the cognitive process, constructing the protocols for electrophysiological interventions like neurofeedback and transcranial magnetic stimulation and monitoring the response to treatment.
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Affiliation(s)
- Özden Öksüz
- Department of Neuroscience, 52998Yeditepe University, İstanbul, Turkey
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Brain structural alterations detected by an automatic quantified tool as an indicator for MCI diagnosing in type 2 diabetes mellitus patients: a magnetic resonance imaging study. Heliyon 2022; 8:e09390. [PMID: 35647347 PMCID: PMC9136264 DOI: 10.1016/j.heliyon.2022.e09390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 12/02/2021] [Accepted: 05/03/2022] [Indexed: 11/23/2022] Open
Abstract
Background and objectives Type 2 diabetes mellitus (T2DM) is an important risk factors for mild cognitive impairment (MCI). Structural magnetic resonance imaging (sMRI) is an effective and widely used method to investigate brain pathomorphological injury in neural diseases. In present study, we aimed to determine the brain regional alterations that correlated to the incidence of MCI in T2DM patients. Materials and methods Eighteen T2DM patients with and without MCI (DMCI/T2DM) respectively, and eighteen age/gender-matched healthy controls (HC) were recruited. Brain MRI imagines of all the individuals were subjected to automatic quantified brain sub-structure volume segmentation and measurement by Dr. brain ™ software. The relative volume of total gray matter (TGM), total white matter (TWM), and 68 pairs (left and right) of brain sub-structures were compared between the three groups. Cognitive function correlation analysis and receiver operating characteristic (ROC) curve analysis were conducted in the MCI-related brain regions in T2DM patients, and we utilized a machine learning method to classify the three group of subjects. Results 10 and 27 brain sub-structures with significant relative volumetric alterations were observed in T2DM patients without MCI and T2DM patients with MCI, respectively (p < 0.05). Compared with T2DM patients without MCI, eight critical regions include right anterior orbital gyrus, right calcarine and cerebrum, left cuneus, left entorhinal area, left frontal operculum, right medial orbital gyrus, right occipital pole, left temporal pole had significant lower volumetric ratio in T2DM patients with MCI (p < 0.05). Among them, the decrease of volumetric ratio in several regions had a positive correlation with Montreal Cognitive Assessment (MoCA) scores and Mini-Mental State Examination (MMSE) scores. The classification results conducted based on these regions as features by random forest algorithm yielded good accuracies of T2DM/HC 69.4%, DMCI/HC 72.2% and T2DM/DMCI 69.4%. Conclusions Certain brain regional structural lesions occurred in patients with T2DM, and this condition was more serious in T2DM patients combined with MCI. A systematic way of segmenting and measuring the whole brain has a potential clinical value for predicting the presence of MCI for T2DM patients.
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Biochemical mechanism underlying the pathogenesis of diabetic retinopathy and other diabetic complications in humans: the methanol-formaldehyde-formic acid hypothesis. Acta Biochim Biophys Sin (Shanghai) 2022; 54:415-451. [PMID: 35607958 PMCID: PMC9828688 DOI: 10.3724/abbs.2022012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Hyperglycemia in diabetic patients is associated with abnormally-elevated cellular glucose levels. It is hypothesized that increased cellular glucose will lead to increased formation of endogenous methanol and/or formaldehyde, both of which are then metabolically converted to formic acid. These one-carbon metabolites are known to be present naturally in humans, and their levels are increased under diabetic conditions. Mechanistically, while formaldehyde is a cross-linking agent capable of causing extensive cytotoxicity, formic acid is an inhibitor of mitochondrial cytochrome oxidase, capable of inducing histotoxic hypoxia, ATP deficiency and cytotoxicity. Chronic increase in the production and accumulation of these toxic one-carbon metabolites in diabetic patients can drive the pathogenesis of ocular as well as other diabetic complications. This hypothesis is supported by a large body of experimental and clinical observations scattered in the literature. For instance, methanol is known to have organ- and species-selective toxicities, including the characteristic ocular lesions commonly seen in humans and non-human primates, but not in rodents. Similarly, some of the diabetic complications (such as ocular lesions) also have a characteristic species-selective pattern, closely resembling methanol intoxication. Moreover, while alcohol consumption or combined use of folic acid plus vitamin B is beneficial for mitigating acute methanol toxicity in humans, their use also improves the outcomes of diabetic complications. In addition, there is also a large body of evidence from biochemical and cellular studies. Together, there is considerable experimental support for the proposed hypothesis that increased metabolic formation of toxic one-carbon metabolites in diabetic patients contributes importantly to the development of various clinical complications.
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Monteleone AM, D'Agostino G, Cascino G, Marciello F, Monteleone P, Maj M. Cortisol awakening response in bipolar patients with comorbid type 2 diabetes mellitus. World J Biol Psychiatry 2022; 23:278-286. [PMID: 34467828 DOI: 10.1080/15622975.2021.1973280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Bipolar disorder (BD) is frequently associated with type 2 diabetes mellitus (T2DM). The functioning of the hypothalamic-pituitary-adrenal (HPA) axis has been never investigated in BD with respect to the glucose metabolic status. Therefore, we assessed the cortisol awakening response (CAR) in bipolar patients with or without comorbid T2DM. METHODS Twenty euglycemic bipolar patients [12 males and eight females; mean age (±SD): 47.4 ± 14.4 years; mean (±SD) duration of illness: 18.3 ± 12.1 years], 16 BD patients with T2DM [11 males and five females; mean age (±SD): 63.6 ± 12.8 years; mean (±SD) duration of bipolar illness: 17.1 ± 10.8 years; mean (±SD) duration of T2DM: 5.2 ± 5.3 years], 18 healthy subjects [seven males and 11 females; mean age (±SD): 45.0 ± 12.1 years] and 12 non-psychiatric subjects with T2DM [eight males and four females; mean age (±SD): 56.7 ± 11.2 years; mean (±SD) duration of T2DM: 5.2 ± 3.5 years] were recruited. Saliva cortisol was measured at awakening and after 15, 30, and 60 min. RESULTS With respect to both healthy controls and controls with T2DM, euglycemic and diabetic BD patients exhibited a CAR occurring at significantly lower levels. No significant difference emerged in the CAR between the two groups of bipolar patients. Controls with T2DM had an overall post-awakening cortisol production significantly higher than healthy controls. CONCLUSIONS Our results show that the CAR of patients with BD is reduced in terms of overall cortisol production but normal in terms of cortisol reactivity independently from the occurrence of comorbid T2DM. The dampened CAR points to a tuning down of the functioning of the HPA axis. in both euglycemic and diabetic BD patients, which may be a factor of vulnerability, since a preserved HPA axis functioning is essential to deal with stressors, which may precipitate affective episodes.
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Affiliation(s)
| | - Giulia D'Agostino
- Section of Neurosciences, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Baronissi, Italy
| | - Giammarco Cascino
- Section of Neurosciences, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Baronissi, Italy
| | - Francesca Marciello
- Section of Neurosciences, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Baronissi, Italy
| | - Palmiero Monteleone
- Section of Neurosciences, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Baronissi, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
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Thota RN, Chatterjee P, Pedrini S, Hone E, Ferguson JJA, Garg ML, Martins RN. Association of Plasma Neurofilament Light Chain With Glycaemic Control and Insulin Resistance in Middle-Aged Adults. Front Endocrinol (Lausanne) 2022; 13:915449. [PMID: 35795150 PMCID: PMC9251066 DOI: 10.3389/fendo.2022.915449] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/16/2022] [Indexed: 12/15/2022] Open
Abstract
AIMS This study aimed to determine the association of plasma neurofilament light (NfL), a marker of neurodegeneration, with diabetes status and glycaemic parameters in people with normal glycaemia (NG), pre-diabetes (PD) and type 2 diabetes (T2D). METHODS Clinical and descriptive data for the diagnostic groups, NG (n=30), PD (n=48) and T2D (n=29), aged between 40 and 75 years were included in this cross-sectional analysis. Plasma NfL levels were analyzed using the ultra-sensitive single-molecule array (Simoa) platform. RESULTS A positive correlation was evident between plasma NfL and fasting glucose (r = 0.2824; p = 0.0032). Plasma NfL levels were not correlated with fasting insulin and insulin resistance. Plasma Nfl levels were significantly different across the diabetes groups (T2D >PD >NG, p=0.0046). Post-hoc analysis indicated significantly higher plasma NfL levels in the T2D [12.4 (5.21) pg/mL] group than in the PD [10.2 (4.13) pg/mL] and NG [8.37 (5.65) pg/mL] groups. The relationship between diabetes status and NfL remained significant after adjusting for age, sex, BMI, HOMA-IR and physical activity (adjusted r2 = 0.271, p = 0.035). CONCLUSIONS These results show biomarker evidence of neurodegeneration in adults at risk or with T2D. Larger sample size and longitudinal analysis are required to better understand the application of NfL in people with risk and overt T2D.
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Affiliation(s)
- Rohith N. Thota
- Macquarie Medical School, Macquarie University, North Ryde, NSW, Australia
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
| | - Pratishtha Chatterjee
- Macquarie Medical School, Macquarie University, North Ryde, NSW, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Steve Pedrini
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Eugene Hone
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Jessica J. A. Ferguson
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
| | - Manohar L. Garg
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
| | - Ralph N. Martins
- Macquarie Medical School, Macquarie University, North Ryde, NSW, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Australian Alzheimer’s Research Foundation, Nedlands, WA, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, WA, Australia
- The KaRa Institute of Neurological Disease, Macquarie Park, NSW, Australia
- *Correspondence: Ralph N. Martins,
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Frank CJ, McNay EC. Breakdown of the blood-brain barrier: A mediator of increased Alzheimer's risk in patients with metabolic disorders? J Neuroendocrinol 2022; 34:e13074. [PMID: 34904299 PMCID: PMC8791015 DOI: 10.1111/jne.13074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 11/12/2021] [Accepted: 11/26/2021] [Indexed: 01/03/2023]
Abstract
Metabolic disorders (MDs), including type 1 and 2 diabetes and chronic obesity, are among the faster growing diseases globally and are a primary risk factor for Alzheimer's disease (AD). The term "type-3 diabetes" has been proposed for AD due to the interrelated cellular, metabolic, and immune features shared by diabetes, insulin resistance (IR), and the cognitive impairment and neurodegeneration found in AD. Patients with MDs and/or AD commonly exhibit altered glucose homeostasis and IR; systemic chronic inflammation encompassing all of the periphery, blood-brain barrier (BBB), and central nervous system; pathological vascular remodeling; and increased BBB permeability that allows transfusion of neurotoxic molecules from the blood to the brain. This review summarizes the components of the BBB, mechanisms through which MDs alter BBB permeability via immune and metabolic pathways, the contribution of BBB dysfunction to the manifestation and progression of AD, and current avenues of therapeutic research that address BBB permeability. In addition, issues with the translational applicability of current animal models of AD regarding BBB dysfunction and proposals for future directions of research that address the relationship between MDs, BBB dysfunction, and AD are discussed.
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Affiliation(s)
- Corey J Frank
- Behavioral Neuroscience, University at Albany, SUNY, Albany, NY, USA
| | - Ewan C McNay
- Behavioral Neuroscience, University at Albany, SUNY, Albany, NY, USA
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Keller JA, Kant IM, Slooter AJ, van Montfort SJ, van Buchem MA, van Osch MJ, Hendrikse J, de Bresser J. Different cardiovascular risk factors are related to distinct white matter hyperintensity MRI phenotypes in older adults. NEUROIMAGE: CLINICAL 2022; 35:103131. [PMID: 36002958 PMCID: PMC9421504 DOI: 10.1016/j.nicl.2022.103131] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 07/09/2022] [Accepted: 07/27/2022] [Indexed: 11/26/2022] Open
Abstract
White matter hyperintensity (WMH) shape: a novel, advanced MRI marker. Hypertension correlates with a more irregular shape of periventricular/confluent WMH. Different cardiovascular/pathological mechanisms lead to distinct WMH MRI phenotypes.
The underlying mechanisms of the association between cardiovascular risk factors and a higher white matter hyperintensity (WMH) burden are unknown. We investigated the association between cardiovascular risk factors and advanced WMH markers in 155 non-demented older adults (mean age: 71 ± 5 years). The association between cardiovascular risk factors and quantitative MRI-based WMH shape and volume markers were examined using linear regression analysis. Presence of hypertension was associated with a more irregular shape of periventricular/confluent WMH (convexity (B (95 % CI)): −0.12 (−0.22–−0.03); concavity index: 0.06 (0.02–0.11)), but not with total WMH volume (0.22 (−0.15–0.59)). Presence of diabetes was associated with deep WMH volume (0.89 (0.15–1.63)). Body mass index or hyperlipidemia showed no association with WMH markers. In conclusion, different cardiovascular risk factors seem to be related to a distinct pattern of WMH shape markers in non-demented older adults. These findings may suggest that different underlying cardiovascular pathological mechanisms lead to different WMH MRI phenotypes, which may be valuable for early detection of individuals at risk for stroke and dementia.
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Li T, Cao HX, Ke D. Type 2 Diabetes Mellitus Easily Develops into Alzheimer's Disease via Hyperglycemia and Insulin Resistance. Curr Med Sci 2021; 41:1165-1171. [PMID: 34874485 DOI: 10.1007/s11596-021-2467-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 10/18/2021] [Indexed: 12/14/2022]
Abstract
With the acceleration of population aging, the incidence of type 2 diabetes mellitus (T2DM) and Alzheimer's disease (AD) is progressively increasing due to the age-relatedness of these two diseases. The association between T2DM and AD-like dementia is receiving much attention, and T2DM is reported to be a significant risk factor for AD. The aims of this review were to reveal the brain changes caused by T2DM as well as to explore the roles of hyperglycemia and insulin resistance in the development of AD.
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Affiliation(s)
- Ting Li
- Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hong-Xia Cao
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Dan Ke
- Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Tan C, Liu X, Zhang X, Peng W, Wang H, Zhou W, Jiang J, Mo L, Chen Y, Chen L. Fyn kinase regulates dopaminergic neuronal apoptosis in animal and cell models of high glucose (HG) treatment. BMC Mol Cell Biol 2021; 22:58. [PMID: 34863087 PMCID: PMC8642997 DOI: 10.1186/s12860-021-00398-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 11/23/2021] [Indexed: 11/23/2022] Open
Abstract
Background High glucose (HG) is linked to dopaminergic neuron loss and related Parkinson’s disease (PD), but the mechanism is unclear. Results Rats and differentiated SH-SY5Y cells were used to investigate the effect of HG on dopaminergic neuronal apoptotic death. We found that a 40-day HG diet elevated cleaved caspase 3 levels and activated Fyn and mTOR/S6K signaling in the substantia nigra of rats. In vitro, 6 days of HG treatment activated Fyn, enhanced binding between Fyn and mTOR, activated mTOR/S6K signaling, and induced neuronal apoptotic death. The proapoptotic effect of HG was rescued by either the Fyn inhibitor PP1 or the mTOR inhibitor rapamycin. PP1 inhibited mTOR/S6K signaling, but rapamycin was unable to modulate Fyn activation. Conclusions HG induces dopaminergic neuronal apoptotic death via the Fyn/mTOR/S6K pathway.
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Affiliation(s)
- Changhong Tan
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Xi Liu
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | | | - Wuxue Peng
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Hui Wang
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Wen Zhou
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Jin Jiang
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Lijuan Mo
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China
| | - Yangmei Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
| | - Lifen Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
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Cabrera-Mino C, Roy B, Woo MA, Freeby MJ, Kumar R, Choi SE. Poor Sleep Quality Linked to Decreased Brain Gray Matter Density in Adults with Type 2 Diabetes. SLEEP AND VIGILANCE 2021; 5:289-297. [PMID: 35243203 PMCID: PMC8887871 DOI: 10.1007/s41782-021-00170-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 08/13/2021] [Accepted: 09/16/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND Poor sleep is common in adults with Type 2 Diabetes Mellitus (T2DM), which may contribute to brain tissue changes. However, the impact of sleep quality on brain tissue in T2DM individuals is unclear. We aimed to evaluate differential sleep quality with brain changes, and brain tissue integrity in T2DM patients. METHODS Data were collected from 34 patients with T2DM and included sleep quality (assessed by the Pittsburgh Sleep Quality Index [PSQI], and high-resolution T1-weighted brain images using a 3.0-Tesla MRI scanner. Gray matter density (GMD) maps were compared between subjects with good vs poor sleep quality as assessed by PSQI (covariates: age, sex, BMI). RESULTS Of 34 T2DM patients, 17 showed poor sleep quality. Multiple brain sites, including the hippocampus, cerebellum, prefrontal, amygdala, thalamus, hypothalamus, insula, cingulate, and temporal areas, showed reduced gray matter in T2DM patients with poor sleep quality over patients with good sleep quality. Negative associations emerged between PSQI scores and gray matter density in multiple areas. CONCLUSIONS T2DM patients with poor sleep quality show brain tissue changes in sites involved in sleep regulation. Findings indicate that improving sleep may help mitigate brain tissue damage, and thus, improve brain function in T2DM patients.
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Affiliation(s)
| | - Bhaswati Roy
- Department of Anesthesiology, University of California Los Angeles, Los Angeles, CA
| | - Mary A. Woo
- UCLA School of Nursing, University of California Los Angeles, Los Angeles, CA
| | - Matthew J. Freeby
- Department of Medicine, Division of Endocrinology, Diabetes, & Metabolism, University of California Los Angeles, Los Angeles, CA
| | - Rajesh Kumar
- Department of Anesthesiology, University of California Los Angeles, Los Angeles, CA
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA
- David Geffen School of Medicine at UCLA, Brain Research Institute, University of California Los Angeles, Los Angeles, CA
| | - Sarah E. Choi
- UCLA School of Nursing, University of California Los Angeles, Los Angeles, CA
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Chen Y, Zhou Z, Liang Y, Tan X, Li Y, Qin C, Feng Y, Ma X, Mo Z, Xia J, Zhang H, Qiu S, Shen D. Classification of type 2 diabetes mellitus with or without cognitive impairment from healthy controls using high-order functional connectivity. Hum Brain Mapp 2021; 42:4671-4684. [PMID: 34213081 PMCID: PMC8410559 DOI: 10.1002/hbm.25575] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/03/2021] [Accepted: 06/08/2021] [Indexed: 12/12/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment and may progress to dementia. However, the brain functional mechanism of T2DM-related dementia is still less understood. Recent resting-state functional magnetic resonance imaging functional connectivity (FC) studies have proved its potential value in the study of T2DM with cognitive impairment (T2DM-CI). However, they mainly used a mass-univariate statistical analysis that was not suitable to reveal the altered FC "pattern" in T2DM-CI, due to lower sensitivity. In this study, we proposed to use high-order FC to reveal the abnormal connectomics pattern in T2DM-CI with a multivariate, machine learning-based strategy. We also investigated whether such patterns were different between T2DM-CI and T2DM without cognitive impairment (T2DM-noCI) to better understand T2DM-induced cognitive impairment, on 23 T2DM-CI and 27 T2DM-noCI patients, as well as 50 healthy controls (HCs). We first built the large-scale high-order brain networks based on temporal synchronization of the dynamic FC time series among multiple brain region pairs and then used this information to classify the T2DM-CI (as well as T2DM-noCI) from the matched HC based on support vector machine. Our model achieved an accuracy of 79.17% in T2DM-CI versus HC differentiation, but only 59.62% in T2DM-noCI versus HC classification. We found abnormal high-order FC patterns in T2DM-CI compared to HC, which was different from that in T2DM-noCI. Our study indicates that there could be widespread connectivity alterations underlying the T2DM-induced cognitive impairment. The results help to better understand the changes in the central neural system due to T2DM.
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Affiliation(s)
- Yuna Chen
- The First School of Clinical MedicineGuangzhou University of Chinese MedicineGuangzhouGuangdongChina
- Department of Radiology and BRICUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Zhen Zhou
- Department of Radiology and BRICUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Yi Liang
- Department of RadiologyThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouGuangdongChina
| | - Xin Tan
- Department of RadiologyThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouGuangdongChina
| | - Yifan Li
- The First School of Clinical MedicineGuangzhou University of Chinese MedicineGuangzhouGuangdongChina
| | - Chunhong Qin
- Department of RadiologyThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouGuangdongChina
| | - Yue Feng
- The First School of Clinical MedicineGuangzhou University of Chinese MedicineGuangzhouGuangdongChina
| | - Xiaomeng Ma
- The First School of Clinical MedicineGuangzhou University of Chinese MedicineGuangzhouGuangdongChina
| | - Zhanhao Mo
- Department of Radiology and BRICUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
- Department of RadiologyChina‐Japan Union Hospital of Jilin UniversityChangchunJilinChina
| | - Jing Xia
- Institute of Brain‐Intelligence Technology, Zhangjiang LabShanghaiChina
| | - Han Zhang
- Institute of Brain‐Intelligence Technology, Zhangjiang LabShanghaiChina
| | - Shijun Qiu
- Department of RadiologyThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouGuangdongChina
| | - Dinggang Shen
- School of Biomedical EngineeringShanghaiTech UniversityShanghaiChina
- Shanghai United Imaging Intelligence Co., Ltd.ShanghaiChina
- Department of Artificial IntelligenceKorea UniversitySeoulRepublic of Korea
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Kim W, Jang H, Kim YT, Cho J, Sohn J, Seo G, Lee J, Yang SH, Lee SK, Noh Y, Koh SB, Oh SS, Kim HJ, Seo SW, Kim HH, Lee JI, Kim SY, Kim C. The effect of body fatness on regional brain imaging markers and cognitive function in healthy elderly mediated by impaired glucose metabolism. J Psychiatr Res 2021; 140:488-495. [PMID: 34153903 DOI: 10.1016/j.jpsychires.2021.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/31/2021] [Accepted: 06/04/2021] [Indexed: 11/28/2022]
Abstract
Brain atrophy is related to vascular risk factors and can increase cognitive dysfunction risk. This community-based, cross-sectional study investigated whether glucose metabolic disorders due to body fatness are linked to regional changes in brain structure and a decline in neuropsychological function in cognitively healthy older adults. From 2016 to 2019, 429 participants underwent measurements for cortical thickness and subcortical volume using 3 T magnetic resonance imaging and for cognitive function using the neuropsychological screening battery. The effects of body fatness mediated by impaired glucose metabolism on neuroimaging markers and cognitive function was investigated using partial least square structural equation modeling. Total grey matter volume (β = -0.020; bias-corrected (BC) 95% confidence interval (CI) = -0.047 to -0.006), frontal (β = -0.029; BC 95% CI = -0.063 to -0.005) and temporal (β = -0.022; BC 95% CI = -0.051 to -0.004) lobe cortical thickness, and hippocampal volume (β = -0.029; BC 95% CI = -0.058 to -0.008) were indirectly related to body fatness. Further, frontal/temporal lobe thinning was associated with recognition memory (β = -0.005; BC 95% CI = -0.012 to -0.001/β = -0.005; BC 95% CI = -0.013 to -0.001) and delayed recall for visual information (β = -0.005; BC 95% CI = -0.013 to -0.001/β = -0.005; BC 95% CI = -0.013 to -0.001). Additionally, the smaller the hippocampal volume, the lower the score in recognition memory (β = -0.005; BC 95% CI = -0.012 to -0.001), delayed recall for visual information (β = -0.005; BC 95% CI = -0.012 to -0.001), and verbal learning (β = -0.008; BC 95% CI = -0.017 to -0.002). Our findings indicate that impaired glucose metabolism caused by excess body fatness affects memory decline as well as regional grey matter atrophy in elderly individuals with no neurological disease.
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Affiliation(s)
- Woojin Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Heeseon Jang
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea.
| | - Yun Tae Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea.
| | - Jaelim Cho
- Institute of Human Complexity and Systems Science, Yonsei University, Incheon, 21983, Republic of Korea; School of Medicine, University of Auckland, Auckland, 92019, New Zealand; Institute for Environmental Research, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Jungwoo Sohn
- Department of Preventive Medicine, Jeonbuk National University Medical School, Jeonju, 54907, Republic of Korea.
| | - Gayoung Seo
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Jiae Lee
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Sung Hee Yang
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Seung-Koo Lee
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Young Noh
- Department of Neurology, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, Republic of Korea.
| | - Sang-Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, 26426, Republic of Korea.
| | - Sung Soo Oh
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
| | - Hee Jin Kim
- Department of Information, Communication and Technology Convergence. ICT Environment Convergence, Pyeongtaek University, Pyeongtaek, 17869, Republic of Korea.
| | - Sang Won Seo
- Department of Information, Communication and Technology Convergence. ICT Environment Convergence, Pyeongtaek University, Pyeongtaek, 17869, Republic of Korea.
| | - Ho Hyun Kim
- Korea Testing and Research Institute, Gwacheon, 13810, Republic of Korea.
| | - Jung Il Lee
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, 10408, Republic of Korea.
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, 10408, Republic of Korea.
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea; Institute of Human Complexity and Systems Science, Yonsei University, Incheon, 21983, Republic of Korea.
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Wang JH, Soo Goh JO, Chang YL, Chen SC, Li YY, Yu YP, Lo RY. Multimorbidity and Regional Volumes of the Default Mode Network in Brain Aging. Gerontology 2021; 68:488-497. [PMID: 34320506 DOI: 10.1159/000517285] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 05/19/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION The default mode network (DMN) is selectively vulnerable in brain aging. Little is known about the effect of multimorbidity as a whole onto the brain structural integrity. OBJECTIVE We aimed to investigate the association between multimorbidity and the structural integrity of DMN. METHODS We enrolled senior volunteers aged between 60 and 80 years in Hualien County during 2014-2018 and conducted in-person interview to collect information on chronic diseases. Fasting blood glucose and glycated hemoglobin (HbA1c) were tested. We assessed multimorbidity burden by the cumulative illness rating scale-geriatric (CIRS-G). MRI brain scans were standardized to measure the regional volume within the DMN. In a cross-sectional design, we employed stepwise regression models to evaluate the effects of age, sex, hyperglycemia, and multimorbidity on the DMN. RESULTS A total of 170 volunteers were enrolled with a mean age of 66.9 years, female preponderance (71%), an average mini-mental state examination score of 27.6, a mean HbA1c of 6.0, and a mean CIRS-G total score (TS) of 7.2. We found that older age was associated with reduced volumes in the hippocampus, left rostral anterior cingulate cortex, right posterior cingulate, right isthmus, precuneus, and right supramarginal. Higher levels of HbA1c and fasting glucose were associated with a reduced volume in the hippocampus only. A higher CIRS-G-TS was associated with reduced volumes in the left posterior cingulate cortex and right supramarginal gyrus; while a higher CIRS-G severity index was associated with a smaller right precuneus and right supramarginal. CONCLUSIONS In the DMN, hippocampal volume shows vulnerability to aging and hyperglycemia, whereas the posterior cingulate, supramarginal, and precuneus cortices may be the key sites to reflect the total effects of multimorbidity.
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Affiliation(s)
- Jen-Hung Wang
- Department of Medical Research, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan, .,Institute of Medical Sciences, Tzu Chi University, Hualien, Taiwan,
| | - Joshua Oon Soo Goh
- Graduate Institute of Brain and Mind Sciences, National Taiwan University, Taipei, Taiwan
| | - Yu-Ling Chang
- Department of Psychology, National Taiwan University, Taipei, Taiwan
| | - Shu-Cin Chen
- Division of Cognitive/Geriatric Neurology, Department of Neurology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien, Taiwan
| | - Yu-Ying Li
- Division of Cognitive/Geriatric Neurology, Department of Neurology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien, Taiwan
| | - Yu-Ping Yu
- Division of Cognitive/Geriatric Neurology, Department of Neurology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien, Taiwan
| | - Raymond Y Lo
- Institute of Medical Sciences, Tzu Chi University, Hualien, Taiwan.,Division of Cognitive/Geriatric Neurology, Department of Neurology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien, Taiwan
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Huo M, Wang Z, Fu W, Tian L, Li W, Zhou Z, Chen Y, Wei J, Abliz Z. Spatially Resolved Metabolomics Based on Air-Flow-Assisted Desorption Electrospray Ionization-Mass Spectrometry Imaging Reveals Region-Specific Metabolic Alterations in Diabetic Encephalopathy. J Proteome Res 2021; 20:3567-3579. [PMID: 34137614 DOI: 10.1021/acs.jproteome.1c00179] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Spatially resolved metabolic profiling of brain is vital for elucidating tissue-specific molecular histology and pathology underlying diabetic encephalopathy (DE). In this study, a spatially resolved metabolomic method based on air-flow-assisted desorption electrospray ionization-mass spectrometry imaging (AFADESI-MSI) was developed for investigating the region-specific metabolic disturbances in the brain of DE model rats induced by a high-fat diet in combination with streptozotocin administration. A total of 19 discriminating metabolites associated with glycolysis and the pentose phosphate pathway (PPP); the glutamate/gamma aminobutyric acid-glutamine cycle and tricarboxylic acid cycle; nucleotide metabolism; lipid metabolism; carnitine homeostasis; and taurine, ascorbic acid, histidine, and choline metabolism were identified and located in the brains of the diabetic rats simultaneously for the first time. The results indicated that increased glycolytic and PPP activity; dysfunction of mitochondrial metabolism; dysregulation of adenosinergic, glutamatergic, dopaminergic, cholinergic, and histaminergic systems; disorder of osmotic regulation and antioxidant system; and disorder of lipid metabolism occur in a region-specific fashion in the brains of DE rats. Thus, this study provides valuable information regarding the molecular pathological signature of DE. These findings also underline the high potential of AFADESI-MSI for applications in various central nervous system diseases.
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Affiliation(s)
- Meiling Huo
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Zhonghua Wang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Wenqing Fu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Lu Tian
- New Drug Safety Evaluation Center, Chinese Academy of Medical Sciences, Beijing 100050, China
| | - Wanfang Li
- New Drug Safety Evaluation Center, Chinese Academy of Medical Sciences, Beijing 100050, China
| | - Zhi Zhou
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Yanhua Chen
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Jinfeng Wei
- New Drug Safety Evaluation Center, Chinese Academy of Medical Sciences, Beijing 100050, China
| | - Zeper Abliz
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China.,Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing 100081, P. R. China
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40
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Ralbovsky NM, Fitzgerald GS, McNay EC, Lednev IK. Towards development of a novel screening method for identifying Alzheimer's disease risk: Raman spectroscopy of blood serum and machine learning. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 254:119603. [PMID: 33743309 DOI: 10.1016/j.saa.2021.119603] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 01/27/2021] [Accepted: 02/05/2021] [Indexed: 06/12/2023]
Abstract
There is an urgent clinical need for a fast and effective method for diagnosing Alzheimer's disease (AD). The identification of AD in its most initial stages, at which point treatment could provide maximum therapeutic benefits, is not only likely to slow down disease progression but to also potentially provide a cure. However, current clinical detection is complicated and requires a combination of several methods based on significant clinical manifestations due to widespread neurodegeneration. As such, Raman spectroscopy with machine learning is investigated as a novel alternative method for detecting AD in its earliest stages. Here, blood serum obtained from rats fed either a standard diet or a high-fat diet was analyzed. The high-fat diet has been shown to initiate a pre-AD state. Partial least squares discriminant analysis combined with receiver operating characteristic curve analysis was able to separate the two rat groups with 100% accuracy at the donor level during external validation. Although further work is necessary, this research suggests there is a potential for Raman spectroscopy to be used in the future as a successful method for identifying AD early on in its progression, which is essential for effective treatment of the disease.
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Affiliation(s)
- Nicole M Ralbovsky
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA; The RNA Institute, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA
| | - Greg S Fitzgerald
- Behavioral Neuroscience, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA
| | - Ewan C McNay
- Behavioral Neuroscience, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA
| | - Igor K Lednev
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA; The RNA Institute, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA.
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Effects of Glycemic Gap on Post-Stroke Cognitive Impairment in Acute Ischemic Stroke Patients. Brain Sci 2021; 11:brainsci11050612. [PMID: 34064739 PMCID: PMC8151287 DOI: 10.3390/brainsci11050612] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/05/2021] [Accepted: 05/08/2021] [Indexed: 01/04/2023] Open
Abstract
Background: Post-stroke hyperglycemia is a frequent finding in acute ischemic stroke patients and is associated with poor functional and cognitive outcomes. However, it is unclear as to whether the glycemic gap between the admission glucose and HbA1c-derived estimated average glucose (eAG) is associated with post-stroke cognitive impairment (PSCI). Methods: We enrolled acute ischemic stroke patients whose cognitive functions were evaluated three months after a stroke using the Korean version of the vascular cognitive impairment harmonization standards neuropsychological protocol (K-VCIHS-NP). The development of PSCI was defined as having z-scores of less than −2 standard deviations in at least one cognitive domain. The participants were categorized into three groups according to the glycemic gap status: non-elevated (initial glucose − eAG ≤ 0 mg/dL), mildly elevated (0 mg/dL < initial glucose − eAG < 50 mg/dL), and severely elevated (50 mg/dL ≤ initial glucose − eAG). Results: A total of 301 patients were enrolled. The mean age was 63.1 years, and the median National Institute of Health Stroke Scale (NIHSS) score was two (IQR: 1–4). In total, 65 patients (21.6%) developed PSCI. In multiple logistic regression analyses, the severely elevated glycemic gap was a significant predictor for PSCI after adjusting for age, sex, education level, initial stroke severity, Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification, and left hemispheric lesion (aOR: 3.65, p-value = 0.001). Patients in the severely elevated glycemic gap group showed significantly worse performance in the frontal and memory domains. Conclusions: In conclusion, our study demonstrated that an elevated glycemic gap was significantly associated with PSCI three months after a stroke, with preferential involvement of frontal and memory domain dysfunctions.
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Irregular structural networks of gray matter in patients with type 2 diabetes mellitus. Brain Imaging Behav 2021; 14:1477-1486. [PMID: 30977031 DOI: 10.1007/s11682-019-00070-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Type 2 diabetes mellitus (T2DM) induces dementia and cognitive decrements indicating the impairment of the central nervous system. While there is evidence showing abnormalities in white-matter structural networks in T2DM, the topological features of gray matter are still unknown. The study enrolled 30 right-handed T2DM patients and 20 healthy control subjects with matched age, gender, handedness, and education. Graph theoretical analysis of magnetic resonance imaging on gray matter volume was conducted to explore large-scale structural networks of brain. Although retaining small-worldness characteristics, the structural networks of grey matter in the T2DM group exhibited an increased clustering coefficient, prolonged characteristic path, decreased global efficiency, and more vulnerability to random failures or targeted attacks compared with controls. Additionally, the degree of structural networks in both T2DM and control groups was distributed exponentially in truncated power law. Our findings suggest that T2DM disturbed the overall topological features of gray matter networks, which provides a novel insight into the neurobiological mechanisms accounting for the cognitive impairment of T2DM patients.
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Lu R, Aziz NA, Diers K, Stöcker T, Reuter M, Breteler MMB. Insulin resistance accounts for metabolic syndrome-related alterations in brain structure. Hum Brain Mapp 2021; 42:2434-2444. [PMID: 33769661 PMCID: PMC8090787 DOI: 10.1002/hbm.25377] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 01/22/2021] [Accepted: 01/28/2021] [Indexed: 12/26/2022] Open
Abstract
Metabolic syndrome (MetS) is a major public health burden worldwide and associated with brain abnormalities. Although insulin resistance is considered a pivotal feature of MetS, its role in the pathogenesis of MetS‐related brain alterations in the general population is unclear. Therefore, in 973 participants (mean age 52.5 years) of the population‐based Rhineland Study, we assessed brain morphology in relation to MetS and insulin resistance, and evaluated to what extent the pattern of structural brain changes seen in MetS overlap with those associated with insulin resistance. Cortical reconstruction and volumetric segmentation were obtained from high‐resolution brain images at 3 Tesla using FreeSurfer. The relations between metabolic measures and brain structure were assessed through (generalized) linear models. Both MetS and insulin resistance were associated with smaller cortical gray matter volume and thickness, but not with white matter or subcortical gray matter volume. Age‐ and sex‐adjusted vertex‐based brain morphometry demonstrated that MetS and insulin resistance were related to cortical thinning in a similar spatial pattern. Importantly, no independent effect of MetS on cortical gray matter was observed beyond the effect of insulin resistance. Our findings suggest that addressing insulin resistance is critical in the prevention of MetS‐related brain changes in later life.
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Affiliation(s)
- Ran Lu
- Population Health Sciences, German Center for Neurodegenerative diseases (DZNE), Bonn, Germany
| | - N Ahmad Aziz
- Population Health Sciences, German Center for Neurodegenerative diseases (DZNE), Bonn, Germany.,Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Kersten Diers
- Image Analysis, German Center for Neurodegenerative diseases (DZNE), Bonn, Germany
| | - Tony Stöcker
- MR Physics, German Center for Neurodegenerative diseases (DZNE), Bonn, Germany.,Department of Physics and Astronomy, University of Bonn, Bonn, Germany
| | - Martin Reuter
- Image Analysis, German Center for Neurodegenerative diseases (DZNE), Bonn, Germany.,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative diseases (DZNE), Bonn, Germany.,Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
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Raiko JRH, Tuulari JJ, Saari T, Parkkola R, Savisto N, Nuutila P, Virtanen K. Associations Between Brain Gray Matter Volumes and Adipose Tissue Metabolism in Healthy Adults. Obesity (Silver Spring) 2021; 29:543-549. [PMID: 33528921 DOI: 10.1002/oby.23094] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 11/12/2020] [Accepted: 11/12/2020] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Gray matter (GM) volume in different brain loci has been shown to vary in obesity and diabetes, and elevated fasting plasma nonesterified fatty acid (NEFA) levels have been suggested as one potential mechanism. The hypothesis presented in this study is that brown adipose tissue (BAT) activity may correlate with GM volume in areas negatively associated with obesity and diabetes. METHODS A total of 36 healthy patients (M/F: 12/24, age 39.7 ± 9.4 years, BMI 27.5 ± 5.6 kg/m2 ) were imaged with positron emission tomography using fatty acid analog [18 F]FTHA to measure NEFA uptake and with [15 O]H2 O to measure perfusion during cold exposure, at room temperature during fasting, or during a postprandial state. A 2-hour hyperinsulinemic euglycemic clamp was performed to measure whole-body insulin sensitivity (M value, mean 7.6 ± 3.9 mg/kg/min). T1-weighted magnetic resonance imaging at 1.5 T was performed on all patients. RESULTS BAT NEFA uptake was associated directly with GM volume in anterior cerebellum and occipital lobe (P ≤ 0.04) when adjusted for age, gender, and intra-abdominal fat volume and with anterior cerebellum, limbic lobe, and temporal lobe GM volumes when adjusted for M value. CONCLUSIONS BAT NEFA metabolism may participate in protection from cognitive degeneration associated with cardiometabolic risk factors, such as central obesity and insulin resistance. Potential causal relationships between BAT activity and GM volumes remain to be examined.
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Affiliation(s)
- Juho R H Raiko
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Jetro J Tuulari
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
- Turku Collegium for Science and Medicine, University of Turku, Turku, Finland
| | - Teemu Saari
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, Turku, Finland
| | - Nina Savisto
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Pirjo Nuutila
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
- Department of Endocrinology, Turku University Hospital, Turku, Finland
| | - Kirsi Virtanen
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
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Li C, Zhang J, Qiu M, Liu K, Li Y, Zuo Z, Yin X, Lai Y, Fang J, Tong H, Guo Y, Wang J, Chen X, Xiong K. Alterations of Brain Structural Network Connectivity in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment. Front Aging Neurosci 2021; 12:615048. [PMID: 33613263 PMCID: PMC7891182 DOI: 10.3389/fnagi.2020.615048] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 12/30/2020] [Indexed: 12/31/2022] Open
Abstract
Patients with type 2 diabetes mellitus (T2DM) are highly susceptible to developing dementia, especially for those with mild cognitive impairment (MCI), but its underlying cause is still unclear. This study aims to investigate the early detection of white matter structural network changes in T2DM patients with MCI and assess the relationship between cognitive impairment and structural network alterations in T2DM patients. In this study, we performed a battery of neuropsychological tests and diffusion tensor MRI in 30 T2MD-MCI patients, 30 T2DM patients with normal cognition (T2DM-NC) and 30 age-, sex-, and education-matched healthy control (HC) individuals. Cognitive performance exhibited obvious differences among the three groups. The structural network was significantly disrupted in both global and regional levels in T2DM patients. The T2DM-MCI group showed more severe impairment of global network efficiency, and lower nodal efficiency and fewer connections within multiple regions like the limbic system, basal ganglia, and several cortical structures. Moreover, a subnetwork impaired in T2DM-MCI patients was characterized by cortical-limbic fibers, and commissural fibers and pathways within the frontal, temporal, and occipital lobes. These altered global and nodal parameters were significantly correlated with cognitive function in T2DM-MCI patients. In particular, executive dysfunction and working memory impairment in T2DM-MCI patients correlated with nodal efficiency in the right opercular part and triangular part of the inferior frontal gyrus, which indicated that white matter disruption in these regions may act as potential biomarkers for T2DM-associated MCI detection. Our investigation provides a novel insight into the neuropathological effects of white matter network disruption on cognition impairments induced by T2DM.
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Affiliation(s)
- Chang Li
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China.,Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, China
| | - Jingna Zhang
- Department of Medical Imaging, College of Biomedical Engineering, Army Medical University, Chongqing, China
| | - Mingguo Qiu
- Department of Medical Imaging, College of Biomedical Engineering, Army Medical University, Chongqing, China
| | - Kaijun Liu
- Department of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China
| | - Yang Li
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Zhiwei Zuo
- Department of Radiology, General Hospital of Western Theater Command, Chengdu, China
| | - Xuntao Yin
- Department of Medical Imaging, Guizhou Provincial People's Hospital, Guiyang, China
| | - Yuqi Lai
- School of Foreign Languages and Cultures, Chongqing University, Chongqing, China
| | - Jingqin Fang
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China.,Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, China
| | - Haipeng Tong
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Yu Guo
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, China
| | - Xiao Chen
- Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, China.,Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Kunlin Xiong
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China.,Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, China
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Xiao A, Ge QM, Zhong HF, Zhang LJ, Shu HY, Liang RB, Shao Y, Zhou Q. White Matter Hyperintensities of Bilateral Lenticular Putamen in Patients with Proliferative Diabetic Retinopathy: A Voxel-based Morphometric Study. Diabetes Metab Syndr Obes 2021; 14:3653-3665. [PMID: 34408460 PMCID: PMC8366956 DOI: 10.2147/dmso.s321270] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 07/23/2021] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE To explore the changes in gray matter volume (GMV) and white matter volume (WMV) in proliferative diabetic retinopathy (PDR) patients using voxel-based morphometry (VBM). PARTICIPANTS AND METHODS In total, 15 patients (10 males, 5 females) with PDR were enrolled to the patient group and 15 healthy controls (10 males, 5 females) to the control group, matched for age, sex, handedness, and education status. All individuals underwent voxel-based morphometry scans. GMV and WMV were compared between the two groups. RESULTS GMV in bilateral superior temporal gyrus, sixth area of left cerebellum, left middle temporal gyrus, left orbital inferior frontal gyrus and left middle cingulum gyrus and WMV in left thalamus and left precuneus were significantly lower in patients than controls (P<0.01). Conversely, WMV was significantly higher in bilateral lenticular putamen of patients than controls (P<0.01). CONCLUSION Abnormal GMV and WMV in many specific areas of the cerebrum provide new insights for exploration of the occurrence and development of DR and its pathophysiology.
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Affiliation(s)
- Ang Xiao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Qian-Min Ge
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Hui-Feng Zhong
- Department of Intensive Care, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, 341000, People’s Republic of China
| | - Li-Juan Zhang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Hui-Ye Shu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Rong-Bin Liang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, 330006, People’s Republic of China
- Correspondence: Yi Shao; Qiong Zhou Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, No. 17, YongWaiZheng Street, DongHu District, Nanchang, 330006, Jiangxi, People’s Republic of China Tel/Fax +86 791-88692520; +86 791-88694639 Email ;
| | - Qiong Zhou
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, 330006, People’s Republic of China
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Meta-analysis of cognitive and behavioral tests in leptin- and leptin receptor-deficient mice. Neurosci Res 2020; 170:217-235. [PMID: 33316303 DOI: 10.1016/j.neures.2020.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 10/06/2020] [Accepted: 11/11/2020] [Indexed: 01/19/2023]
Abstract
Leptin is a hormone produced by adipocytes that regulates food intake and metabolism. Leptin-related gene-deficient mice, such as db/db and ob/ob mice, are widely used to study diabetes and its related diseases. However, broad effects of leptin appear to cause variability in behavioral test results. We performed a meta-analysis of major behavioral tests in db/db and ob/ob mice. These mice exhibited significant impairments in the Morris water maze, forced swim, novel object recognition, Y-maze, tail suspension, and light-dark box tests, whereas the elevated plus maze and open field tests did not reveal significant changes. We also performed correlation and regression analyses between the animals' performances and the experimental protocols and conditions. The memory-related tests were characterized by the correlations of their results with animal age, while the performances in the elevated plus-maze and forced swim tests were affected by the width of the devices used. In conclusion, db/db and ob/ob mice mainly exhibit memory deficits and depression-like behavior, although experimenters should be aware of animal age and device size in conducting experiments.
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Zhao Y, Liu J, Li J, Zhao F, Du S, Wang Y, Li J, Yang L, Du J, Tang Y. Changes in hippocampal capillaries in transgenic type 2 diabetic mice: A stereological investigation. Anat Rec (Hoboken) 2020; 304:1071-1083. [PMID: 33015956 DOI: 10.1002/ar.24525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 06/30/2020] [Accepted: 07/19/2020] [Indexed: 11/07/2022]
Abstract
The cognitive dysfunction associated with type 2 diabetes mellitus (T2DM) has been widely studied, and many structures in the hippocampus, such as neurons and synapses, have been shown to play a crucial role in the cognitive decline. However, the mechanism of these changes remains unknown. To further explore this issue, we investigated the changes in the blood supply of the hippocampus in transgenic T2DM mice. In the current study, histochemistry, immunohistochemistry, and unbiased stereological methods were utilized to research the effects of T2DM on hippocampal capillaries of transgenic db/db mice. Twenty (Leprdb ) mut/mut mice and twenty (Leprdb ) wt/wt mice were used in this study. The learning and memory ability was appraised by Morris water maze test.
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Affiliation(s)
- Yuanyu Zhao
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Jin Liu
- Laboratory of Electron Microscopy, North Sichuan Medical College, Nanchong, Sichuan Province, China
| | - Jing Li
- Laboratory of Electron Microscopy, North Sichuan Medical College, Nanchong, Sichuan Province, China
| | - Feng Zhao
- Laboratory of Electron Microscopy, North Sichuan Medical College, Nanchong, Sichuan Province, China
| | - Shijuan Du
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Yunzi Wang
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Juan Li
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Lijun Yang
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Jiang Du
- Department of General Surgery, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Yong Tang
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, China
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Muresanu DF, Sharma A, Sahib S, Tian ZR, Feng L, Castellani RJ, Nozari A, Lafuente JV, Buzoianu AD, Sjöquist PO, Patnaik R, Wiklund L, Sharma HS. Diabetes exacerbates brain pathology following a focal blast brain injury: New role of a multimodal drug cerebrolysin and nanomedicine. PROGRESS IN BRAIN RESEARCH 2020; 258:285-367. [PMID: 33223037 DOI: 10.1016/bs.pbr.2020.09.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Blast brain injury (bBI) is a combination of several forces of pressure, rotation, penetration of sharp objects and chemical exposure causing laceration, perforation and tissue losses in the brain. The bBI is quite prevalent in military personnel during combat operations. However, no suitable therapeutic strategies are available so far to minimize bBI pathology. Combat stress induces profound cardiovascular and endocrine dysfunction leading to psychosomatic disorders including diabetes mellitus (DM). This is still unclear whether brain pathology in bBI could exacerbate in DM. In present review influence of DM on pathophysiology of bBI is discussed based on our own investigations. In addition, treatment with cerebrolysin (a multimodal drug comprising neurotrophic factors and active peptide fragments) or H-290/51 (a chain-breaking antioxidant) using nanowired delivery of for superior neuroprotection on brain pathology in bBI in DM is explored. Our observations are the first to show that pathophysiology of bBI is exacerbated in DM and TiO2-nanowired delivery of cerebrolysin induces profound neuroprotection in bBI in DM, not reported earlier. The clinical significance of our findings with regard to military medicine is discussed.
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Affiliation(s)
- Dafin F Muresanu
- Department of Clinical Neurosciences, University of Medicine & Pharmacy, Cluj-Napoca, Romania; "RoNeuro" Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania
| | - Aruna Sharma
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Department of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
| | - Seaab Sahib
- Department of Chemistry & Biochemistry, University of Arkansas, Fayetteville, AR, United States
| | - Z Ryan Tian
- Department of Chemistry & Biochemistry, University of Arkansas, Fayetteville, AR, United States
| | - Lianyuan Feng
- Department of Neurology, Bethune International Peace Hospital, Shijiazhuang, Hebei Province, China
| | - Rudy J Castellani
- Department of Pathology, University of Maryland, Baltimore, MD, United States
| | - Ala Nozari
- Anesthesiology & Intensive Care, Massachusetts General Hospital, Boston, MA, United States
| | - José Vicente Lafuente
- LaNCE, Department of Neuroscience, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
| | - Anca D Buzoianu
- Department of Clinical Pharmacology and Toxicology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Per-Ove Sjöquist
- Division of Cardiology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Ranjana Patnaik
- Department of Biomaterials, School of Biomedical Engineering, Indian Institute of Technology, Banaras Hindu University, Varanasi, India
| | - Lars Wiklund
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Department of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
| | - Hari Shanker Sharma
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Department of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
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50
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Li RZ, Ding XW, Geetha T, Al-Nakkash L, Broderick TL, Babu JR. Beneficial Effect of Genistein on Diabetes-Induced Brain Damage in the ob/ob Mouse Model. DRUG DESIGN DEVELOPMENT AND THERAPY 2020; 14:3325-3336. [PMID: 32884237 PMCID: PMC7443039 DOI: 10.2147/dddt.s249608] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 07/06/2020] [Indexed: 01/26/2023]
Abstract
Purpose Diabetes mellitus (DM)-induced brain damage is characterized by cellular, molecular and functional changes. The mechanisms include oxidative stress, neuroinflammation, reduction of neurotrophic factors, insulin resistance, excessive amyloid beta (Aβ) deposition and Tau phosphorylation. Both antidiabetic and neuroprotective effects of the phytoestrogen genistein have been reported. However, the beneficial effect of genistein in brain of the ob/ob mouse model of severe obesity and diabetes remains to be determined. Methods In this study, female ob/ob mice and lean control mice were fed with either a standard diet or a diet containing genistein (600mg/kg) for a period of 4 weeks. Body weight was monitored weekly. Blood was collected for the measurement of glucose, insulin and common cytokines. Mice brains were isolated for Western immunoblotting analyses. Results Treatment with genistein reduced weight gain of ob/ob mice and decreased hyperglycemia compared to ob/ob mice fed the standard diet. The main findings show that genistein treatment increased insulin sensitivity and the expression levels of the neurotrophic factors nerve growth factor (NGF) and brain-derived neurotrophic factors (BDNF). In these mice, genistein also reduced Aβ deposition and the level of hyper-phosphorylated Tau protein. Conclusion The results of our study indicate the beneficial effects of genistein in the obese diabetic mouse brain, including improving brain insulin signaling, increasing neurotrophic support, and alleviating Alzheimer’s disease-related pathology.
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Affiliation(s)
- Rong-Zi Li
- Department of Nutrition, Dietetics and Hospitality Management, Auburn University, Auburn, AL 36849, USA
| | - Xiao-Wen Ding
- Department of Nutrition, Dietetics and Hospitality Management, Auburn University, Auburn, AL 36849, USA
| | - Thangiah Geetha
- Department of Nutrition, Dietetics and Hospitality Management, Auburn University, Auburn, AL 36849, USA
| | - Layla Al-Nakkash
- Department of Physiology, Laboratory of Diabetes and Exercise Metabolism, College of Graduate Studies, Midwestern University, Glendale, AZ 85308, USA
| | - Tom L Broderick
- Department of Physiology, Laboratory of Diabetes and Exercise Metabolism, College of Graduate Studies, Midwestern University, Glendale, AZ 85308, USA
| | - Jeganathan Ramesh Babu
- Department of Nutrition, Dietetics and Hospitality Management, Auburn University, Auburn, AL 36849, USA
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