1
|
Leibold NS, Despa F. Neuroinflammation induced by amyloid-forming pancreatic amylin: Rationale for a mechanistic hypothesis. Biophys Chem 2024; 310:107252. [PMID: 38663120 PMCID: PMC11111340 DOI: 10.1016/j.bpc.2024.107252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 04/18/2024] [Accepted: 04/21/2024] [Indexed: 05/15/2024]
Abstract
Amylin is a systemic neuroendocrine hormone co-expressed and co-secreted with insulin by pancreatic β-cells. In persons with thype-2 diabetes, amylin forms pancreatic amyloid triggering inflammasome and interleukin-1β signaling and inducing β-cell apoptosis. Here, we summarize recent progress in understanding the potential link between amyloid-forming pancreatic amylin and Alzheimer's disease (AD). Clinical data describing amylin pathology in AD alongside mechanistic studies in animals are reviewed. Data from multiple research teams indicate higher amylin concentrations are associated with increased frequency of cognitive impairment and amylin co-aggregates with β-amyloid in AD-type dementia. Evidence from rodent models further suggests cerebrovascular amylin accumulation as a causative factor underlying neurological deficits. Analysis of relevant literature suggests that modulating the amylin-interleukin-1β pathway may provide an approach for counteracting neuroinflammation in AD.
Collapse
Affiliation(s)
- Noah S Leibold
- Department of Pharmacology and Nutritional Sciences, College of Medicine, University of Kentucky, Lexington, KY 40536, USA
| | - Florin Despa
- Department of Pharmacology and Nutritional Sciences, College of Medicine, University of Kentucky, Lexington, KY 40536, USA.
| |
Collapse
|
2
|
Huang H, Pu J, Zhou Y, Fan Y, Zhang Y, Li Y, Chen Y, Wang Y, Yu X, Dmitry B, Zhou Z, Wang J. A spontaneous hyperglycaemic cynomolgus monkey presents cognitive deficits, neurological dysfunction and cataract. Clin Exp Pharmacol Physiol 2024; 51:e13863. [PMID: 38650114 DOI: 10.1111/1440-1681.13863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/10/2024] [Accepted: 03/28/2024] [Indexed: 04/25/2024]
Abstract
Chronic hyperglycaemia is a chief feature of diabetes mellitus and complicates with many systematic anomalies. Non-human primates (NHPs) are excellent for studying hyperglycaemia or diabetes and associated comorbidities, but lack behavioural observation. In the study, behavioural, brain imaging and histological analysis were performed in a case of spontaneously hyperglycaemic (HGM) Macaca fascicularis. The results were shown that the HGM monkey had persistent body weight loss, long-term hyperglycaemia, insulin resistance, dyslipidemia, but normal concentrations of insulin, C-peptide, insulin autoantibody, islet cell antibody and glutamic acid decarboxylase antibody. Importantly, an impaired working memory in a delayed response task and neurological dysfunctions were found in the HGM monkey. The tendency for atrophy in hippocampus was observed by magnetic resonance imaging. Lenticular opacification, lens fibres disruptions and vacuole formation also occurred to the HGM monkey. The data suggested that the spontaneous HGM monkey might present diabetes-like characteristics and associated neurobehavioral anomalies in this case. This study first reported cognitive deficits in a spontaneous hyperglycaemia NHPs, which might provide evidence to use macaque as a promising model for translational research in diabetes and neurological complications.
Collapse
Affiliation(s)
- Hongdi Huang
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Jianglin Pu
- Deparment of Nephrology, The First Affiliated Hospital of Kunming Medical University and Yunnan Province Clinical Research Center for Chronic Kidney Disease, Kunming, China
| | - Yufang Zhou
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yang Fan
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yali Zhang
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yanling Li
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yangzhuo Chen
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yun Wang
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Xiaomei Yu
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Bulgin Dmitry
- Research Institute of Medical Primatology, National Research Centre "Kurchatov Institute", Sochi, Russia
| | - Zhu Zhou
- Deparment of Nephrology, The First Affiliated Hospital of Kunming Medical University and Yunnan Province Clinical Research Center for Chronic Kidney Disease, Kunming, China
| | - Jianhong Wang
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| |
Collapse
|
3
|
Chen S, Ling Y, Zhou F, Qiao X, Reinhardt JD. Trajectories of cognitive function among people aged 45 years and older living with diabetes in China: Results from a nationally representative longitudinal study (2011~2018). PLoS One 2024; 19:e0299316. [PMID: 38787866 PMCID: PMC11125531 DOI: 10.1371/journal.pone.0299316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 02/08/2024] [Indexed: 05/26/2024] Open
Abstract
OBJECTIVES Diabetes is associated with decline of cognitive function. Exploring different trajectories of cognitive function occurring in people with diabetes is important to improved prognosis. This study aimed to investigate differential patterns of trajectories of cognitive function and baseline determinants of trajectory group membership utilizing data from middle-aged and older Chinese adults with diabetes. METHODS Participants of the Chinese Health And Retirement Longitudinal Study (CHARLS) aged 45 years and above received biennial assessments between 2011 and 2018. The primary outcome was overall cognitive function score operationalized as sum of mental intactness and episodic memory scores derived from the Telephone Interview of Cognitive Status (TICS). A weighted growth mixture model was used to estimate cognitive function trajectories of CHARLS participants with diabetes, and baseline factors associated with trajectory group membership were investigated with weighted multinomial logistic regression. RESULTS Data from 1,463 participants with diabetes aged 45 years and above were analyzed, a three-group trajectory model showed the best fit for overall cognitive scores: low baseline, linear declining (22.1%); moderate baseline, linear declining (37.5%) and high-stable (40.3%). Older participants, females, participants with low education, with nighttime sleep <6 h, without daytime napping habits, and with depressive symptoms were at a higher risk of unfavorable cognitive function trajectories. CONCLUSIONS We identified heterogeneous trajectories of cognitive function among middle-aged and older people living with diabetes in China. Socially vulnerable groups including females, rural residents, and those with low education were at a higher risk for unfavorable trajectories. In health programs aimed at preventing and mitigating cognitive decline in individuals with diabetes more attention should be given to vulnerable groups. Reduced nighttime sleep, lack of daytime napping, and depressive symptoms appear to be modifiable risk factors.
Collapse
Affiliation(s)
- Shi Chen
- Institute for Disaster Management and Reconstruction of Sichuan University and Hong Kong Polytechnic University, Sichuan University, Chengdu, China
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yuewei Ling
- Department of Management Science and Engineering, Stanford University, Stanford, CA, United States of America
| | - Faquan Zhou
- Department of Vascular Surgery, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xu Qiao
- Institute for Disaster Management and Reconstruction of Sichuan University and Hong Kong Polytechnic University, Sichuan University, Chengdu, China
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jan D Reinhardt
- Institute for Disaster Management and Reconstruction of Sichuan University and Hong Kong Polytechnic University, Sichuan University, Chengdu, China
- Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
- Rehabilitation Medicine Centre, Jiangsu Province Hospital/Nanjing Medical University First Affiliated Hospital, Nanjing, China
| |
Collapse
|
4
|
Wang W, Yang Y, Sang F, Chen Y, Li X, Chen K, Wang J, Zhang Z. Vascular Risk Factors and Brain Health in Aging: Insights from a Community-Based Cohort Study. J Alzheimers Dis 2024:JAD240240. [PMID: 38788079 DOI: 10.3233/jad-240240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
Background The aging population and high rates of Alzheimer's disease (AD) create significant medical burdens, prompting a need for early prevention. Targeting modifiable risk factors like vascular risk factors (VRFs), closely linked to AD, may provide a promising strategy for intervention. Objective This study investigates how VRFs influence cognitive performance and brain structures in a community-based cohort. Methods In this cross-sectional study, 4,667 participants over 50 years old, drawn from the Beijing Ageing Brain Rejuvenation Initiative project, were meticulously examined. Cognitive function and VRFs (diabetes mellitus, hypertension, hyperlipidemia, obesity, and smoking), were comprehensively assessed through one-to-one interviews. Additionally, a subset of participants (n = 719) underwent MRI, encompassing T1-weighted and diffusion-weighted scans, to elucidate gray matter volume and white matter structural network organization. Results The findings unveil diabetes as a potent detriment to memory, manifesting in atrophy within the right supramarginal gyrus and diminished nodal efficiency and degree centrality in the right inferior parietal lobe. Hypertension solely impaired memory without significant structural changes. Intriguingly, individuals with comorbid diabetes and hypertension exhibited the most pronounced deficits in both brain structure and cognitive performance. Remarkably, hyperlipidemia emerged as a factor associated with enhanced cognition, and preservation of brain structure. Conclusions This study illuminates the intricate associations between VRFs and the varied patterns of cognitive and brain structural damage. Notably, the synergistic effect of diabetes and hypertension emerges as particularly deleterious. These findings underscore the imperative to tailor interventions for patients with distinct VRF comorbidities, especially when addressing cognitive decline and structural brain changes.
Collapse
Affiliation(s)
- Wenxiao Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, P. R. China
- School of Systems Science, Beijing Normal University, Beijing, P. R. China
| | - Yiru Yang
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, P. R. China
| | - Feng Sang
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Kewei Chen
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Jun Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| |
Collapse
|
5
|
Guan S, Li Y, Xin Y, Wang D, Lu P, Han F, Xu H. Deciphering the dual role of N-methyl-D-Aspartate receptor in postoperative cognitive dysfunction: A comprehensive review. Eur J Pharmacol 2024; 971:176520. [PMID: 38527701 DOI: 10.1016/j.ejphar.2024.176520] [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: 12/04/2023] [Revised: 03/03/2024] [Accepted: 03/20/2024] [Indexed: 03/27/2024]
Abstract
Postoperative cognitive dysfunction (POCD) is a common complication following surgery, adversely impacting patients' recovery, increasing the risk of negative outcomes, prolonged hospitalization, and higher mortality rates. The N-methyl-D-aspartate (NMDA) receptor, crucial for learning, memory, and synaptic plasticity, plays a significant role in the development of POCD. Various perioperative factors, including age and anesthetic use, can reduce NMDA receptor function, while surgical stress, inflammation, and pain may lead to its excessive activation. This review consolidates preclinical and clinical research to explore the intricate relationship between perioperative factors affecting NMDA receptor functionality and the onset of POCD. It discusses the influence of aging, anesthetic administration, perioperative injury, pain, and inflammation on the NMDA receptor-related pathophysiology of POCD. The comprehensive analysis presented aims to identify effective treatment targets for POCD, contributing to the improvement of patient outcomes post-surgery.
Collapse
Affiliation(s)
- Shaodi Guan
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yali Li
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yueyang Xin
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Danning Wang
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Pei Lu
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fanglong Han
- Department of Anesthesiology, Xiangyang Maternal and Child Health Hospital, Xiangyang, 441003, China
| | - Hui Xu
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| |
Collapse
|
6
|
Putallaz P, Seematter-Bagnoud L, Draganski B, Rouaud O, Krief H, Büla CJ. Diabetes mellitus in older persons with neurocognitive disorder: overtreatment prevalence and associated structural brain MRI findings. BMC Geriatr 2024; 24:427. [PMID: 38745127 PMCID: PMC11095019 DOI: 10.1186/s12877-024-05025-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/29/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Tight diabetes control is often applied in older persons with neurocognitive disorder resulting in increased hypoglycemic episodes but little is known about the pattern of brain injury in these overtreated patients. This study aims to: (a) quantify the prevalence of diabetes overtreatment in cognitively impaired older adults in a clinical population followed in an academic memory clinic (b) identify risk factors contributing to overtreatment; and (c) explore the association between diabetes overtreatment and specific brain region volume changes. METHODS Retrospective study of older patients with type 2 diabetes and cognitive impairment who were diagnosed in a memory clinic from 2013 to 2020. Patients were classified into vulnerable and dependent according to their health profile. Overtreatment was defined when glycated hemoglobin was under 7% for vulnerable and 7.6% for dependent patients. Characteristics associated to overtreatment were examined in multivariable analysis. Grey matter volume in defined brain regions was measured from MRI using voxel-based morphometry and compared in patients over- vs. adequately treated. RESULTS Among 161 patients included (median age 76.8 years, range 60.8-93.3 years, 32.9% women), 29.8% were considered as adequately treated, 54.0% as overtreated, and 16.2% as undertreated. In multivariable analyses, no association was observed between diabetes overtreatment and age or the severity of cognitive impairment. Among patients with neuroimaging data (N = 71), associations between overtreatment and grey matter loss were observed in several brain regions. Specifically, significant reductions in grey matter were found in the caudate (adj β coeff: -0.217, 95%CI: [-0.416 to -0.018], p = .033), the precentral gyri (adj βcoeff:-0.277, 95%CI: [-0.482 to -0.073], p = .009), the superior frontal gyri (adj βcoeff: -0.244, 95%CI: [-0.458 to -0.030], p = .026), the calcarine cortex (adj βcoeff:-0.193, 95%CI: [-0.386 to -0.001], p = .049), the superior occipital gyri (adj βcoeff: -0.291, 95%CI: [-0.521 to -0.061], p = .014) and the inferior occipital gyri (adj βcoeff: -0.236, 95%CI: [-0.456 to - 0.015], p = .036). CONCLUSION A significant proportion of older patients with diabetes and neurocognitive disorder were subjected to excessively intensive treatment. The association identified with volume loss in several specific brain regions highlights the need to further investigate the potential cerebral damages associated with overtreatment and related hypoglycemia in larger sample.
Collapse
Affiliation(s)
- Pauline Putallaz
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland.
- Service of geriatric medicine, Hospital of Valais, Avenue de la Fusion 27, Martigny, 1920, Switzerland.
| | - Laurence Seematter-Bagnoud
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
- Department of Epidemiology and Public Health (Unisanté), Lausanne, 1011, Switzerland
| | - Bogdan Draganski
- Laboratory of Research in Neuroimaging (LREN) - Department of Clinical Neuroscience - CHUV, University of Lausanne, Lausanne, 1011, Switzerland
| | - Olivier Rouaud
- Leenaards Memory Center, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
| | - Hélène Krief
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
| | - Christophe J Büla
- Service of geriatric medicine and geriatric rehabilitation, University of Lausanne Medical Center (CHUV), Route de Mont Paisible 16, Lausanne, 1011, Switzerland
| |
Collapse
|
7
|
Qin F, Yan Y, Yang N, Hao Y. Beneficial Effects of Echinacoside on Cognitive Impairment and Diabetes in Type 2 Diabetic db/db Mice. Exp Clin Endocrinol Diabetes 2024. [PMID: 38569512 DOI: 10.1055/a-2298-4593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
INTRODUCTION Cognitive dysfunction is an important comorbidity of diabetes. Insulin resistance may play a critical role in diabetes-related cognitive impairment. Echinacoside (ECH), a natural phenylethanoid glycoside, is the active component of anti-diabetes prescriptions in traditional Chinese medicine. Its effect on modulating insulin resistance has been confirmed but modulating neurodegenerative disease remains unclear. METHODS Db/db mice, a spontaneous type 2 diabetes mode, were intragastrically administered ECH by 300 mg/kg or an equivalent volume of saline. Weight, blood glucose, and insulin resistance index were measured. Morris water maze test was performed to observe the compound effects on cognition. Hippocampal lesions were observed by histochemical analysis. RESULTS In db/db mice, ECH alleviated diabetes symptoms, memory loss, and hippocampal neuronal damage. Next, the expression of CD44 and phosphorylated tau was upregulated in diabetic mice. In addition, the insulin receptor substrate-1/phosphatidylinositol 3-kinase /protein kinase B signaling pathway was dysregulated in diabetic mice. All these dysregulations could be reversed by ECH. DISCUSSION This study provides theoretical support and experimental evidence for the future application of ECH in diabetic cognition dysfunction treatment, promoting the development of traditional medicines.
Collapse
Affiliation(s)
- Fanglin Qin
- Department of Geriatrics, Renmin Hospital of Wuhan University, 99 Zhang Zhidong Road, Wuchang District, Wuhan, Hubei Province 430060, China
| | - Yiming Yan
- Department of Geriatrics, Renmin Hospital of Wuhan University, 99 Zhang Zhidong Road, Wuchang District, Wuhan, Hubei Province 430060, China
| | - Ningxi Yang
- Department of Geriatrics, Renmin Hospital of Wuhan University, 99 Zhang Zhidong Road, Wuchang District, Wuhan, Hubei Province 430060, China
| | - Yarong Hao
- Department of Geriatrics, Renmin Hospital of Wuhan University, 99 Zhang Zhidong Road, Wuchang District, Wuhan, Hubei Province 430060, China
| |
Collapse
|
8
|
Guo X, Lei M, Ma G, Ouyang C, Yang X, Liu C, Chen Q, Liu X. Schisandrin A Alleviates Spatial Learning and Memory Impairment in Diabetic Rats by Inhibiting Inflammatory Response and Through Modulation of the PI3K/AKT Pathway. Mol Neurobiol 2024; 61:2514-2529. [PMID: 37910285 DOI: 10.1007/s12035-023-03725-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 10/19/2023] [Indexed: 11/03/2023]
Abstract
Clinical and epidemiological research shows that people with diabetes mellitus frequently experience diabetic cognitive impairment. Schisandrin A (SchA), one of the lignans found in the dried fruit of Schisandra chinensis, has a variety of pharmacological effects on immune system control, apoptosis suppression, anti-oxidation and anti-inflammation. The goal of the current investigation was to clarify the probable neuro-protective effects of SchA against streptozotocin-induced diabetes deficiencies of the spatial learning and memory in rats. The outcomes show that SchA therapy effectively improved impaired glucose tolerance, fasting blood glucose level and serum insulin level in diabetic rats. Additionally, in the Morris water maze test, diabetic rats showed deficits in spatial learning and memory that were ameliorated by SchA treatment. Moreover, giving diabetic rats SchA reduced damage to the hippocampus structure and increased the production of synaptic proteins. Further research revealed that SchA therapy reduced diabetic-induced hippocampus neuron damage and the generation of Aβ, as demonstrated by the upregulated phosphorylation levels of insulin signaling pathway connected proteins and by the decreased expression levels of inflammatory-related factors. Collectively, these results suggested that SchA could improve diabetes-related impairments in spatial learning and memory, presumably by reducing inflammatory responses and regulating the insulin signaling system.
Collapse
Affiliation(s)
- Xiying Guo
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Min Lei
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Guandi Ma
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Changhan Ouyang
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Xiaosong Yang
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Chao Liu
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
| | - Qingjie Chen
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
| | - Xiufen Liu
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
| |
Collapse
|
9
|
Sun M, Chen WM, Wu SY, Zhang J. Dose-Dependent Effect of Aspirin Use in Reducing Diabetes-Associated Dementia Risk Among Elderly Patients With Type 2 Diabetes Mellitus. J Am Med Dir Assoc 2024; 25:889-897.e2. [PMID: 38642589 DOI: 10.1016/j.jamda.2024.03.110] [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: 07/26/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 04/22/2024]
Abstract
OBJECTIVE This study investigated the association between aspirin use and diabetes-associated dementia in older patients with type 2 diabetes mellitus (T2DM), assessing aspirin's potential protective effects, intensity of use, and dose-dependency against dementia. DESIGN A cohort study evaluating the dose-dependent protective impact of aspirin against dementia in a population-based sample. SETTING AND PARTICIPANTS Older patients with T2DM (≥60 years), comparing aspirin users with nonusers. METHODS Used a time-varying Cox hazards model to assess dementia incidence. RESULTS Older aspirin users exhibited a significant reduction in dementia risk (adjusted hazard ratio [aHR], 0.44; 95% CI, 0.41-0.46). The lowest aHRs for dementia were observed at a daily intensity of 0.91 defined daily doses (DDDs), and higher daily dosages (>0.91 DDD) showed gradually increasing aHRs (although still <1). Analysis of cumulative DDD revealed a dose-response relationship, with progressively lower aHRs across quartiles (0.16, 0.42, 0.57, and 0.63 for quartiles 4, 3, 2, and 1, respectively) compared with never aspirin users (P for trend < .0001). CONCLUSIONS AND IMPLICATIONS Aspirin use in older patients with T2DM significantly reduces dementia risk. The optimal daily intensity of aspirin use (0.91 DDD) is associated with the lowest aHR for dementia. These findings suggest a dose-dependent relationship, supporting the potential benefits of higher cumulative dosages of aspirin in reducing dementia risk in this population.
Collapse
Affiliation(s)
- Mingyang Sun
- Department of Anesthesiology and Perioperative Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Wan-Ming Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan; Artificial Intelligence Development Center, Fu Jen Catholic University, Taipei, Taiwan
| | - Szu-Yuan Wu
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan; Artificial Intelligence Development Center, Fu Jen Catholic University, Taipei, Taiwan; Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, Asia University, Taichung, Taiwan; Big Data Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan; Division of Radiation Oncology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan; Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan; Cancer Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan; Centers for Regional Anesthesia and Pain Medicine, Taipei Municipal Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Department of Management, College of Management, Fo Guang University, Yilan, Taiwan.
| | - Jiaqiang Zhang
- Department of Anesthesiology and Perioperative Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
| |
Collapse
|
10
|
Zhang Y, Yin X, Chen YC, Chen H, Jin M, Ma Y, Yong W, Muthaiah VPK, Xia W, Yin X. Aberrant Brain Triple-Network Effective Connectivity Patterns in Type 2 Diabetes Mellitus. Diabetes Ther 2024; 15:1215-1229. [PMID: 38578396 PMCID: PMC11043308 DOI: 10.1007/s13300-024-01565-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/12/2024] [Indexed: 04/06/2024] Open
Abstract
INTRODUCTION Aberrant brain functional connectivity network is thought to be related to cognitive impairment in patients with type 2 diabetes mellitus (T2DM). This study aims to investigate the triple-network effective connectivity patterns in patients with T2DM within and between the default mode network (DMN), salience network (SN), and executive control network (ECN) and their associations with cognitive declines. METHODS In total, 92 patients with T2DM and 98 matched healthy controls (HCs) were recruited and underwent resting-state functional magnetic resonance imaging (rs-fMRI). Spectral dynamic causal modeling (spDCM) was used for effective connectivity analysis within the triple network. The posterior cingulate cortex (PCC), medial prefrontal cortex (mPFC), lateral prefrontal cortex (LPFC), supramarginal gyrus (SMG), and anterior insula (AINS) were selected as the regions of interest. Group comparisons were performed for effective connectivity calculated using the fully connected model, and the relationships between effective connectivity alterations and cognitive impairment as well as clinical parameters were detected. RESULTS Compared to HCs, patients with T2DM exhibited increased or decreased effective connectivity patterns within the triple network. Furthermore, diabetes duration was significantly negatively correlated with increased effective connectivity from the r-LPFC to the mPFC, while body mass index (BMI) was significantly positively correlated with increased effective connectivity from the l-LPFC to the l-AINS (r = - 0.353, p = 0.001; r = 0.377, p = 0.004). CONCLUSION These results indicate abnormal effective connectivity patterns within the triple network model in patients with T2DM and provide new insight into the neurological mechanisms of T2DM and related cognitive dysfunction.
Collapse
Affiliation(s)
- Yujie Zhang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China
| | - Xiao Yin
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China
| | - Huiyou Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China
| | - Mingxu Jin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China
| | - Yuehu Ma
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China
| | - Wei Yong
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China
| | | | - Wenqing Xia
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China.
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China.
| |
Collapse
|
11
|
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.
Collapse
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
| |
Collapse
|
12
|
Iacobini C, Vitale M, Haxhi J, Menini S, Pugliese G. Impaired Remodeling of White Adipose Tissue in Obesity and Aging: From Defective Adipogenesis to Adipose Organ Dysfunction. Cells 2024; 13:763. [PMID: 38727299 PMCID: PMC11083890 DOI: 10.3390/cells13090763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 04/22/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
The adipose organ adapts and responds to internal and environmental stimuli by remodeling both its cellular and extracellular components. Under conditions of energy surplus, the subcutaneous white adipose tissue (WAT) is capable of expanding through the enlargement of existing adipocytes (hypertrophy), followed by de novo adipogenesis (hyperplasia), which is impaired in hypertrophic obesity. However, an impaired hyperplastic response may result from various defects in adipogenesis, leading to different WAT features and metabolic consequences, as discussed here by reviewing the results of the studies in animal models with either overexpression or knockdown of the main molecular regulators of the two steps of the adipogenesis process. Moreover, impaired WAT remodeling with aging has been associated with various age-related conditions and reduced lifespan expectancy. Here, we delve into the latest advancements in comprehending the molecular and cellular processes underlying age-related changes in WAT function, their involvement in common aging pathologies, and their potential as therapeutic targets to influence both the health of elderly people and longevity. Overall, this review aims to encourage research on the mechanisms of WAT maladaptation common to conditions of both excessive and insufficient fat tissue. The goal is to devise adipocyte-targeted therapies that are effective against both obesity- and age-related disorders.
Collapse
|
13
|
Yi F, Gao Y, Liu X, Ying Y, Xie Q, You Y, Zha Q, Luo C, Ni M, Wang Q, Zhu Y. A non-linear relationship between blood pressure and mild cognitive impairment in elderly individuals: A cohort study based on the Chinese longitudinal healthy longevity survey (CLHLS). Neurol Sci 2024:10.1007/s10072-024-07539-z. [PMID: 38676817 DOI: 10.1007/s10072-024-07539-z] [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: 12/13/2023] [Accepted: 04/16/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Hypertension is an established risk factor for mild cognitive impairment (MCI) in elderly individuals. Nevertheless, the impact of different levels of blood pressure on the progression of MCI remains uncertain. This study aims to investigate the non-linear relationship between blood pressure and MCI in the elderly and detect the critical blood pressure threshold, thus, improving blood pressure management for individuals at high risk of MCI. METHODS Data was obtained from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) cohort. We chose normal cognitive elderly individuals who entered the cohort in 2014 for a 5-year follow-up to observe the progression of MCI. Subsequently, we utilized the Cox regression model to identify risk factors for MCI and conducted a Cox-based restricted cubic spline regression (RCS) model to examine the non-linear relationship between systolic blood pressure (SBP) and diastolic blood pressure (DBP) with MCI, determining the critical blood pressure threshold for MCI progression. RESULTS In the elderly population, female (HR = 1.489, 95% CI: 1.017-2.180), lacking of exercise in the past (HR = 1.714, 95% CI: 1.108-2.653), preferring animal fats (HR = 2.340, 95% CI: 1.348-4.061), increased age (HR = 1.061, 95% CI: 1.038-1.084), increased SBP (HR = 1.036, 95% CI: 1.024-1.048), and increased DBP (HR = 1.056, 95% CI: 1.031-1.081) were associated with MCI progression. After adjusting factors such as gender, exercise, preferred types of fats, and age, both SBP (P non-linear < 0.001) and DBP (P non-linear < 0.001) in elderly individuals exhibited a non-linear association with MCI. The risk of MCI rose when SBP exceeded 135 mmHg and DBP was in the range of 80-88 mmHg. However, when DBP exceeded 88 mmHg, there was a declining trend in MCI progression, although the HR remained above 1. The identified critical blood pressure management threshold for MCI was 135/80 mmHg. CONCLUSION In this study, we discovered that risk factors affecting the progression of MCI in elderly individuals comprise gender (female), preferring to use animal fat, lack of exercise in the past, increased age, increased SBP, and increased DBP. Additionally, a non-linear relationship between blood pressure levels and MCI progression was confirmed, with the critical blood pressure management threshold for MCI onset falling within the prehypertensive range.
Collapse
Affiliation(s)
- Fuliang Yi
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
- Department of Public Health, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - Yang Gao
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - Xin Liu
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - Yujuan Ying
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - Qiaojin Xie
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - You You
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - Qian Zha
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - Canjing Luo
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - Min Ni
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - Qiuping Wang
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China
| | - Yuanfang Zhu
- Health Management Center, Zigong Fourth People's Hospital, 19 Tanmulin Street, Zigong, 643000, People's Republic of China.
| |
Collapse
|
14
|
Lei Y, Li M, Liu X, Zhang L, Zhang R, Cai F. Nerolidol rescues hippocampal injury of diabetic rats through inhibiting NLRP3 inflammasome and regulation of MAPK/AKT pathway. Biofactors 2024. [PMID: 38624190 DOI: 10.1002/biof.2058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 03/24/2024] [Indexed: 04/17/2024]
Abstract
Despite the observation of diabetes-induced brain tissue damage and impaired learning and memory, the underlying mechanism of damage remains elusive, and effective, targeted therapeutics are lacking. Notably, the NLRP3 inflammasome is highly expressed in the hippocampus of diabetic individuals. Nerolidol, a naturally occurring compound with anti-inflammatory and antioxidant properties, has been identified as a potential therapeutic option for metabolic disorders. However, the ameliorative capacity of nerolidol on diabetic hippocampal injury and its underlying mechanism remain unclear. Network pharmacology and molecular docking was used to predict the signaling pathways and therapeutic targets of nerolidol for the treatment of diabetes. Then established a diabetic rat model using streptozotocin (STZ) combined with a high-fat diet and nerolidol was administered. Morris water maze to assess spatial learning memory capacity. Hematoxylin and eosin and Nissl staining was used to detect neuronal damage in the diabetic hippocampus. Transmission electron microscopy was used to detect the extent of damage to mitochondria, endoplasmic reticulum (ER) and synapses. Immunofluorescence was used to detect GFAP, IBA1, and NLRP3 expression in the hippocampus. Western blot was used to detect apoptosis (Bcl-2, BAX, and Cleaved-Caspase-3); synapses (postsynaptic densifying protein 95, SYN1, and Synaptophysin); mitochondria (DRP1, OPA1, MFN1, and MFN2); ER (GRP78, ATF6, CHOP, and caspase-12); NLRP3 inflammasome (NLRP3, ASC, and caspase-1); inflammatory cytokines (IL-18, IL-1β, and TNF-α); AKT (P-AKT); and mitogen-activated protein kinase (MAPK) pathway (P-ERK, P-p38, and P-JNK) related protein expression. Network pharmacology showed that nerolidol's possible mechanisms for treating diabetes are the MAPK/AKT pathway and anti-inflammatory effects. Animal experiments demonstrated that nerolidol could improve blood glucose, blood lipids, and hippocampal neuronal damage in diabetic rats. Furthermore, nerolidol could improve synaptic, mitochondrial, and ER damage in the hippocampal ultrastructure of diabetic rats by potentially affecting synaptic, mitochondrial, and ER-related proteins. Further studies revealed that nerolidol decreased neuroinflammation, NLRP3 and inflammatory factor expression in hippocampal tissue while also decreasing MAPK pathway expression and enhancing AKT pathway expression. However, nerolidol improves hippocampal damage in diabetic rats cannot be shown to improve cognitive function. In conclusion, our study reveals for the first time that nerolidol can ameliorate hippocampal damage, neuroinflammation, synaptic, ER, and mitochondrial damage in diabetic rats. Furthermore, we suggest that nerolidol may inhibit NLRP3 inflammasome and affected the expression of MAPK and AKT. These findings provide a new experimental basis for the use of nerolidol to ameliorate diabetes-induced brain tissue damage and the associated disease.
Collapse
Affiliation(s)
- Yining Lei
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, China
- Hubei Key Laboratory of Diabetes and Angiopathy, Hubei University of Science and Technology, Xianning, China
| | - Manqin Li
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, China
- Hubei Key Laboratory of Diabetes and Angiopathy, Hubei University of Science and Technology, Xianning, China
| | - Xinran Liu
- Hubei Key Laboratory of Diabetes and Angiopathy, Hubei University of Science and Technology, Xianning, China
| | - Lu Zhang
- Hubei Key Laboratory of Diabetes and Angiopathy, Hubei University of Science and Technology, Xianning, China
| | - Ruyi Zhang
- Hubei Key Laboratory of Diabetes and Angiopathy, Hubei University of Science and Technology, Xianning, China
| | - Fei Cai
- Hubei Key Laboratory of Diabetes and Angiopathy, Hubei University of Science and Technology, Xianning, China
| |
Collapse
|
15
|
Gao J, Zou Y, Lv XY, Chen L, Hou XG. Novel insights into immune-related genes associated with type 2 diabetes mellitus-related cognitive impairment. World J Diabetes 2024; 15:735-757. [PMID: 38680704 PMCID: PMC11045412 DOI: 10.4239/wjd.v15.i4.735] [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: 11/11/2023] [Revised: 01/21/2024] [Accepted: 03/04/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND The cognitive impairment in type 2 diabetes mellitus (T2DM) is a multifaceted and advancing state that requires further exploration to fully comprehend. Neuroinflammation is considered to be one of the main mechanisms and the immune system has played a vital role in the progression of the disease. AIM To identify and validate the immune-related genes in the hippocampus associated with T2DM-related cognitive impairment. METHODS To identify differentially expressed genes (DEGs) between T2DM and controls, we used data from the Gene Expression Omnibus database GSE125387. To identify T2DM module genes, we used Weighted Gene Co-Expression Network Analysis. All the genes were subject to Gene Set Enrichment Analysis. Protein-protein interaction network construction and machine learning were utilized to identify three hub genes. Immune cell infiltration analysis was performed. The three hub genes were validated in GSE152539 via receiver operating characteristic curve analysis. Validation experiments including reverse transcription quantitative real-time PCR, Western blotting and immunohistochemistry were conducted both in vivo and in vitro. To identify potential drugs associated with hub genes, we used the Comparative Toxicogenomics Database (CTD). RESULTS A total of 576 DEGs were identified using GSE125387. By taking the intersection of DEGs, T2DM module genes, and immune-related genes, a total of 59 genes associated with the immune system were identified. Afterward, machine learning was utilized to identify three hub genes (H2-T24, Rac3, and Tfrc). The hub genes were associated with a variety of immune cells. The three hub genes were validated in GSE152539. Validation experiments were conducted at the mRNA and protein levels both in vivo and in vitro, consistent with the bioinformatics analysis. Additionally, 11 potential drugs associated with RAC3 and TFRC were identified based on the CTD. CONCLUSION Immune-related genes that differ in expression in the hippocampus are closely linked to microglia. We validated the expression of three hub genes both in vivo and in vitro, consistent with our bioinformatics results. We discovered 11 compounds associated with RAC3 and TFRC. These findings suggest that they are co-regulatory molecules of immunometabolism in diabetic cognitive impairment.
Collapse
Affiliation(s)
- Jing Gao
- Department of Endocrinology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong Province, China
| | - Ying Zou
- Department of Endocrinology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong Province, China
| | - Xiao-Yu Lv
- Department of Endocrinology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong Province, China
| | - Li Chen
- Department of Endocrinology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong Province, China
| | - Xin-Guo Hou
- Department of Endocrinology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong Province, China
- Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan 250012, Shandong Province, China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan 250012, Shandong Province, China
- Department of Endocrinology, Jinan Clinical Research Center for Endocrine and Metabolic Disease, Jinan 250012, Shandong Province, China
| |
Collapse
|
16
|
Lv C, Cheng L, Feng W, Xie H, Kou J, Wang L, Shi M, Song X, Wang X, Chen S, Xue L, Zhang C, Li X, Zhao H. Targeting microbiota-immune-synaptic plasticity to explore the effect of tea polyphenols on improving memory in the aged type 2 diabetic rat model. Nutr Neurosci 2024:1-17. [PMID: 38622917 DOI: 10.1080/1028415x.2024.2341188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
OBJECTIVES The study aimed to explore whether TP could improve memory in the aged type 2 diabetic rat model by regulating microbiota-immune-synaptic plasticity axis. METHODS The experiment was divided into two parts. Firstly, to investigate the effects of TP on the physiopathology of the aged T2DM model rats, rats were randomly divided into the Normal control group, the aged group, the Aged T2DM model group, the TP 75, 150, 300 mg/kg groups, the 150 mg/kg Piracetam group and the 3 mg/kg Rosiglitazone group. Then, to further verify whether TP improved memory in aged T2DM rat model by regulating intestinal flora, the fecal microbiota transplantation (FMT) from the rats in the 300 mg/kg TP group into the rats in the aged T2DM model group was carried out. Effects on gut microbiota, colonic integrity (epithelial tight junction proteins), and endotoxemia (serum LPS) were examined, along with synaptic structure, synaptic plasticity-related structural proteins and inflammation signaling of the hippocampus in our study. RESULTS Our results demonstrated that TP alleviated memory impairments in the aged T2DM rat model. The specific outcomes were as follows: TP 300 mg/kg corrected the gut dysbacteriosis, alleviated intestinal permeability reduction and peripheral/central inflammation, inhibited the TLR4/NF-κB signaling pathway. Meanwhile, TP improved the synaptic plasticity in the hippocampus of the aged T2DM model rats, whose expressions of SYN, PSD 95, NMDAR1 and GluR1 in hippocampus were significantly up-regulated. Surprisingly, rats of the FMT group displayed the same changes. DISCUSSION TP improves the memory in aged T2DM rat model. The mechanism may be related to the alteration of gut flora, which can inhibit hippocampal TLR4/NF-κB signaling to attenuate neuroinflammation, then improve synaptic plasticity. The study proposes that TP interventions aimed at manipulating the gut microbiota may hold great potential as an effective approach for preventing and treating this disease.
Collapse
Affiliation(s)
- Chenhui Lv
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Le Cheng
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Wenjuan Feng
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Haoran Xie
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Jie Kou
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Lili Wang
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Mengqian Shi
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Xin Song
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Xi Wang
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Shuangzhi Chen
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Lushan Xue
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Cheng Zhang
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
| | - Xuemin Li
- Center for Disease Control and Prevention in Shanxi Province, Taiyuan, People's Republic of China
| | - Haifeng Zhao
- Department of Nutrition and Food Hygiene, Shanxi Medical University, Taiyuan, People's Republic of China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan, People's Republic of China
| |
Collapse
|
17
|
da Silva AD, Oliveira JS, de Castro IC, Paiva WC, Gomes JMG, Pimenta LCJP. Association of vitamin D and cognition in people with type 2 diabetes: a systematic review. Nutr Rev 2024; 82:622-638. [PMID: 37403328 DOI: 10.1093/nutrit/nuad085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/06/2023] Open
Abstract
CONTEXT There is a high prevalence of vitamin D deficiency and impaired cognitive function in people with type 2 diabetes mellitus (T2DM). OBJECTIVE To critically and systematically review the literature on the association between vitamin D status and cognitive performance in people with type 2 diabetes. DATA SOURCES This review was conducted according to PRISMA recommendations. MEDLINE, SCOPUS, the Cochrane Library, and Web of Science databases were searched using the terms "Diabetes Mellitus, Type 2", "Cognitive Function", and "Vitamin D". DATA EXTRACTION Eight observational and 1 randomized study were included, containing data of 14 648 adult and elderly individuals (19-74 y). All extracted data were compiled, compared, and critically analyzed. DATA ANALYSIS There is no strong evidence that lower serum concentrations of vitamin D and vitamin D-binding protein are associated with worsening cognitive function in individuals with T2DM. Vitamin D supplementation (12 wk) improved the scores of some executive functioning tests, although there was no difference between low doses (5000 IU/wk) and high doses (50 000 IU/wk). CONCLUSIONS There is no high-quality evidence demonstrating an association between vitamin D status and cognitive function, or clinical benefits on cognition from vitamin D supplementation in individuals with T2DM. Future studies are needed. Systematic Review Registration: PROSPERO registration no. CRD42021261520.
Collapse
Affiliation(s)
- Alice D da Silva
- Department of Nutrition, Universidade Federal de Lavras, Minas Gerais, Brazil
| | - Julia S Oliveira
- Department of Nutrition and Health, Universidade Federal de Viçosa, Minas Gerais, Brazil
| | - Isabela C de Castro
- Department of Nutrition, Universidade Federal de Lavras, Minas Gerais, Brazil
| | - Wanderléia C Paiva
- Instituto Federal de Educação, Ciência e Tecnologia do Sudeste de Minas Gerais, Minas Gerais, Brazil
| | - Júnia M G Gomes
- Instituto Federal de Educação, Ciência e Tecnologia do Sudeste de Minas Gerais, Minas Gerais, Brazil
| | - Laura C J P Pimenta
- Department of Nutrition, Universidade Federal de Lavras, Minas Gerais, Brazil
| |
Collapse
|
18
|
Yeung D, Talukder A, Shi M, Umbach DM, Li Y, Motsinger-Reif A, Fan Z, Li L. Differences in sleep spindle wave density between patients with diabetes mellitus and matched controls: implications for sensing and regulation of peripheral blood glucose. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.11.24305676. [PMID: 38645123 PMCID: PMC11030297 DOI: 10.1101/2024.04.11.24305676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Background Brain waves during sleep are involved in sensing and regulating peripheral glucose level. Whether brain waves in patients with diabetes differ from those of healthy subjects is unknown. We examined the hypothesis that patients with diabetes have reduced sleep spindle waves, a form of brain wave implicated in periphery glucose regulation during sleep. Methods From a retrospective analysis of polysomnography (PSG) studies on patients who underwent sleep apnea evaluation, we identified 1,214 studies of patients with diabetes mellitus (>66% type 2) and included a sex- and age-matched control subject for each within the scope of our analysis. We similarly identified 376 patients with prediabetes and their matched controls. We extracted spindle characteristics from artifact-removed PSG electroencephalograms and other patient data from records. We used rank-based statistical methods to test hypotheses. We validated our finding on an external PSG dataset. Results Patients with diabetes mellitus exhibited on average about half the spindle density (median=0.38 spindles/min) during sleep as their matched control subjects (median=0.70 spindles/min) (P<2.2e-16). Compared to controls, spindle loss was more pronounced in female patients than in male patients in the frontal regions of the brain (P=0.04). Patients with prediabetes also exhibited signs of lower spindle density compared to matched controls (P=0.01-0.04). Conclusions Patients with diabetes have fewer spindle waves that are implicated in glucose regulation than matched controls during sleep. Besides offering a possible explanation for neurological complications from diabetes, our findings open the possibility that reversing/reducing spindle loss could improve the overall health of patients with diabetes mellitus.
Collapse
Affiliation(s)
- Deryck Yeung
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States
| | - Amlan Talukder
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States
| | - Min Shi
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States
| | - David M. Umbach
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States
| | - Yuanyuan Li
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States
| | - Alison Motsinger-Reif
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States
| | - Zheng Fan
- Division of Sleep Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Leping Li
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States
| |
Collapse
|
19
|
Wei W, Xu P, Li L, Mao H, Li N, Wang XQ, Wang L, Xu ZP, Zhao S. Association of glycogen synthase kinase-3β with cognitive impairment in type 2 diabetes patients: a six-year follow-up study. Front Endocrinol (Lausanne) 2024; 15:1386773. [PMID: 38660514 PMCID: PMC11039938 DOI: 10.3389/fendo.2024.1386773] [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: 02/16/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Background Our previous multicenter case-control study showed that aging, up-regulation of platelet glycogen synthase kinase-3β (GSK-3β), impaired olfactory function, and ApoE ϵ4 genotype were associated with cognitive decline in type 2 diabetes mellitus (T2DM) patients. However, the causal relationship between these biomarkers and the development of cognitive decline in T2DM patients remains unclear. Methods To further investigate this potential relationship, we designed a 6-year follow-up study in 273 T2DM patients with normal cognitive in our previous study. Baseline characteristics of the study population were compared between T2DM patients with and without incident mild cognitive impairment (MCI). We utilized Cox proportional hazard regression models to assess the risk of cognitive impairment associated with various baseline biomarkers. Receiver operating characteristic curves (ROC) were performed to evaluate the diagnostic accuracy of these biomarkers in predicting cognitive impairment. Results During a median follow-up time of 6 years (with a range of 4 to 9 years), 40 patients (16.13%) with T2DM developed MCI. Participants who developed incident MCI were more likely to be older, have a lower education level, have more diabetic complications, a higher percentage of ApoE ϵ4 allele and a higher level of platelet GSK-3β activity (rGSK-3β) at baseline (P<0.05). In the longitudinal follow-up, individuals with higher levels of rGSK-3β were more likely to develop incident MCI, with an adjusted hazard ratio (HR) of 1.60 (95% confidence interval [CI] 1.05, 2.46), even after controlling for potential confounders. The AUC of the combination of age, rGSK-3β and ApoEϵ4 allele predicted for incident MCI was 0.71. Conclusion Platelet GSK-3β activity could be a useful biomarker to predict cognitive decline, suggesting the feasibility of identifying vulnerable population and implementing early prevention for dementia.
Collapse
Affiliation(s)
- Wei Wei
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pan Xu
- Department of Neurology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Li
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Mao
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Na Li
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-qing Wang
- College of Medicine and Health Science, Wuhan Polytechnic University, Wuhan, China
| | - Li Wang
- Department of Nursing, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhi-peng Xu
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shi Zhao
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
20
|
Chen Q, Zhu S, Shang J, Fang Q, Xue Q, Hua J. Trends in Cognitive Function Before and After Diabetes Onset: The China Health and Retirement Longitudinal Study. Neurology 2024; 102:e209165. [PMID: 38447106 DOI: 10.1212/wnl.0000000000209165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 11/30/2023] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Individuals with prevalent diabetes were known to have a higher risk of dementia and lower cognitive function. However, trends of cognitive function before diabetes and in the short term after new-onset diabetes remain unclear. METHODS This study included participants without baseline diabetes from the China Health and Retirement Longitudinal Study. Cognitive tests were conducted at baseline (wave 1) and at least one time from wave 2 (2013) to wave 4 (2018). Cognitive function was assessed using a global cognition score which was the summary measure of 4 cognitive tests. A linear mixed model was constructed to fit the trends in cognitive function before and after diabetes onset and the trends among nondiabetes. The threshold of statistical significance was p < 0.05. RESULTS During the 7-year follow-up, 1,207 (9.7% of 12,422, 59.1 ± 8.6 years, 39.9% male participants) participants developed new-onset diabetes. The cognitive function of both the without diabetes group and the diabetes group declined annually during the follow-up. The annual decline rate of the diabetes group before diabetes onset was similar to that of the without diabetes group during the whole follow-up period. After diabetes onset, participants experienced statistically significant faster cognitive declines in global cognition (-0.023 SD/year; 95% CI -0.043 to -0.004; p = 0.019) and visuospatial abilities test (-0.036 SD/year; -0.061 to -0.011; p = 0.004), but not in tests of episodic memory (-0.018 SD/year; -0.041 to 0.004; p = 0.116), attention and calculation (-0.017 SD/year; -0.037 to 0.003; p = 0.090), or orientation (0.001 SD/year; -0.018 to 0.020; p = 0.894), compared with the cognitive slope before diabetes. In subgroup analysis, compared with those who developed diabetes between 45-54 years, those developing diabetes older (55-64 years, p for interaction = 0.701; 65-74 years, p for interaction = 0.996) did not demonstrate different rates of global cognitive decline after diabetes. DISCUSSION Individuals experienced faster rate of cognitive decline in a few years after diabetes onset, but not during the prediabetes period. Age did not modify the effect of diabetes on postdiabetes cognitive decline. Efforts in eliminating the adverse impacts on cognition should be started on diagnosis of diabetes.
Collapse
Affiliation(s)
- Qingmei Chen
- From the Departments of Physical Medicine and Rehabilitation (Q.C.), Psychiatry (J.S.), and Neurology (Q.F., Q.X., J.H.), The First Affiliated Hospital of Soochow University, Suzhou; Department of Neurology (S.Z.), The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital; and Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Sijia Zhu
- From the Departments of Physical Medicine and Rehabilitation (Q.C.), Psychiatry (J.S.), and Neurology (Q.F., Q.X., J.H.), The First Affiliated Hospital of Soochow University, Suzhou; Department of Neurology (S.Z.), The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital; and Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Jing Shang
- From the Departments of Physical Medicine and Rehabilitation (Q.C.), Psychiatry (J.S.), and Neurology (Q.F., Q.X., J.H.), The First Affiliated Hospital of Soochow University, Suzhou; Department of Neurology (S.Z.), The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital; and Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Qi Fang
- From the Departments of Physical Medicine and Rehabilitation (Q.C.), Psychiatry (J.S.), and Neurology (Q.F., Q.X., J.H.), The First Affiliated Hospital of Soochow University, Suzhou; Department of Neurology (S.Z.), The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital; and Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Qun Xue
- From the Departments of Physical Medicine and Rehabilitation (Q.C.), Psychiatry (J.S.), and Neurology (Q.F., Q.X., J.H.), The First Affiliated Hospital of Soochow University, Suzhou; Department of Neurology (S.Z.), The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital; and Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Jianian Hua
- From the Departments of Physical Medicine and Rehabilitation (Q.C.), Psychiatry (J.S.), and Neurology (Q.F., Q.X., J.H.), The First Affiliated Hospital of Soochow University, Suzhou; Department of Neurology (S.Z.), The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital; and Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Medical College of Soochow University, Suzhou, China
| |
Collapse
|
21
|
Teng Z, Feng J, Xie X, Xu J, Jiang X, Lv P. A Nomogram Including Total Cerebral Small Vessel Disease Burden Score for Predicting Mild Vascular Cognitive Impairment in Patients with Type 2 Diabetes Mellitus. Diabetes Metab Syndr Obes 2024; 17:1553-1562. [PMID: 38601039 PMCID: PMC11005931 DOI: 10.2147/dmso.s451862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/29/2024] [Indexed: 04/12/2024] Open
Abstract
Background Total cerebral small vessel disease (CSVD) burden score is an important predictor of vascular cognitive impairment (VCI). However, few predictive models of VCI in type 2 diabetes mellitus (T2DM) patients have included the total CSVD burden score, especially in the early stage of VCI. Objective To develop and validate a nomogram that includes the total CSVD burden score to predict mild VCI in patients with T2DM. Methods A total of 322 eligible participants with T2DM who were divided into mild and normal cognitive groups were enrolled in this retrospective study. Demographic data, laboratory data and imaging markers of CSVD were collected. The total CSVD burden score was calculated by combining the different CSVD markers. Step-backward multivariable logistic regression analysis with the Akaike information criterion was applied to select significant predictors and develop a best-fit predictive nomogram. The performance of the nomogram was assessed in terms of discriminative ability, calibrated ability, and clinical usefulness. Results The nomogram model consisted of five variables: age, education, hemoglobin A1c level, serum homocysteine level, and total CSVD burden score. A nomogram with these variables showed good discriminative ability (area under the receiver operating characteristic curve was 0.801 in internal verification). In addition, the Hosmer-Lemeshow test (χ2 =9.226, P=0.417) and bootstrap-corrected calibration plot indicated that the nomogram had good calibration. The Brier score of the predictive model was 0.178. Decision curve analysis demonstrated that when the threshold probability ranged between 16% and 98%, the use of the nomogram to predict mild VCI in patients with T2DM provide a greater net benefit. Conclusions The nomogram, composed of age, education, stroke, HbA1c level, Hcy level, and total CSVD burden score, had good predictive accuracy and may provide clinicians with a practical tool for predicting the risk of mild VCI in T2DM patients.
Collapse
Affiliation(s)
- Zhenjie Teng
- Department of Neurology, Hebei Medical University, Shijiazhuang, People’s Republic of China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, People’s Republic of China
| | - Jing Feng
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Xiaohua Xie
- Department of Neurology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Jing Xu
- Department of Neurology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Xin Jiang
- Department of Neurology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Peiyuan Lv
- Department of Neurology, Hebei Medical University, Shijiazhuang, People’s Republic of China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, People’s Republic of China
| |
Collapse
|
22
|
Sun M, Chen WM, Wu SY, Zhang J. Metformin in elderly type 2 diabetes mellitus: dose-dependent dementia risk reduction. Brain 2024; 147:1474-1482. [PMID: 37878862 DOI: 10.1093/brain/awad366] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/15/2023] [Accepted: 10/03/2023] [Indexed: 10/27/2023] Open
Abstract
This study aimed to investigate the controversial association between metformin use and diabetes-associated dementia in elderly patients with type 2 diabetes mellitus (T2DM) and evaluate the potential protective effects of metformin, as well as its intensity of use and dose-dependency, against dementia in this population. The study used a time-dependent Cox hazards model to evaluate the effect of metformin use on the incidence of dementia. The case group included elderly patients with T2DM (≥60 years old) who received metformin, while the control group consisted of elderly patients with T2DM who did not receive metformin during the follow-up period. Our analysis revealed a significant reduction in the risk of dementia among elderly individuals using metformin, with an adjusted hazard ratio of 0.34 (95% confidence interval: 0.33 to 0.36). Notably, metformin users with a daily intensity of 1 defined daily dose (DDD) or higher had a lower risk of dementia, with an adjusted hazard ratio (95% confidence interval) of 0.46 (0.22 to 0.6), compared to those with a daily intensity of <1 DDD. Additionally, the analysis of cumulative DDDs of metformin showed a dose-response relationship, with progressively lower adjusted hazard ratio across quartiles (0.15, 0.21, 0.28, and 0.53 for quartiles 4, 3, 2 and 1, respectively), compared to never metformin users (P for trend < 0.0001). Metformin use in elderly patients with T2DM is significantly associated with a substantial reduction in the risk of dementia. Notably, the protective effect of metformin demonstrates a dose-dependent relationship, with higher daily and cumulative dosages of metformin showing a greater risk reduction.
Collapse
Affiliation(s)
- Mingyang Sun
- Department of Anesthesiology and Perioperative Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Wan-Ming Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei 242, Taiwan
- Artificial Intelligence Development Center, Fu Jen Catholic University, Taipei 242, Taiwan
| | - Szu-Yuan Wu
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei 242, Taiwan
- Artificial Intelligence Development Center, Fu Jen Catholic University, Taipei 242, Taiwan
- Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, Asia University, Taichung 413, Taiwan
- Big Data Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 265, Taiwan
- Division of Radiation Oncology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 265, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung 413, Taiwan
- Cancer Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 265, Taiwan
- Centers for Regional Anesthesia and Pain Medicine, Taipei Municipal Wan Fang Hospital, Taipei Medical University, Taipei 110, Taiwan
- Department of Management, College of Management, Fo Guang University, Yilan 262, Taiwan
| | - Jiaqiang Zhang
- Department of Anesthesiology and Perioperative Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450052, China
| |
Collapse
|
23
|
Cui X, Wang S, Xu S, Wang L, Dong S, Zhang R, Gao Z, Jiang L, Shen T, Guo Y, Zhou H. The Therapeutic Effect of Buyang Huanwu Decoction on Mild Cognitive Impairment (MCI) in Patients with Diabetes. Int J Neurosci 2024:1-9. [PMID: 38512025 DOI: 10.1080/00207454.2024.2334367] [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: 02/27/2024] [Accepted: 03/19/2024] [Indexed: 03/22/2024]
Abstract
OBJECTIVE This study aims to comprehensively verify the efficacy of Buyang Huanwu Decoction in improving cognitive function in patients with diabetes. METHODS Patients clinically diagnosed with mild cognitive impairment (MCI) assigned to either the placebo group or the Buyang Huanwu Decoction group. After strict screening and exclusions, a total of 156 participants completed the clinical trial, with 76 in the placebo group and 80 in the Buyang Huanwu Decoction group. RESULTS After treatment, Buyang Huanwu Decoction group showed higher Mini-Mental State Examination and Montreal Cognitive Assessment scores compared to placebo (p < 0.05). Memory and Executive Screening, Boston Naming Test, and Animal Fluency Test scores were also higher in the treatment group (p < 0.05). No significant differences were found in DST and CDT scores (p > 0.05). Trail Making Test scores were lower in the treatment group (p < 0.05). No significant difference was observed between the two groups in terms of complications (p > 0.05). CONCLUSION Patients receiving Buyang Huanwu Decoction treatment demonstrated improvement in cognitive function, showing positive effects and providing preliminary evidence for the role of Buyang Huanwu Decoction in improving cognitive function in patients with diabetes. This suggests its potential for clinical application and further promotion.
Collapse
Affiliation(s)
- Ximing Cui
- Department of General Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Shuang Wang
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Shunjiang Xu
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei International Joint Research Center for Brain Science, Shijiazhuang, China
- Hebei Key Laboratory of Brain Science and Psychiatric Psychologic Disease, Shijiazhuang, China
| | - Lina Wang
- Department of Endocrinology and Metabolism, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Shanshan Dong
- Department of Endocrinology and Metabolism, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Rui Zhang
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei International Joint Research Center for Brain Science, Shijiazhuang, China
- Hebei Key Laboratory of Brain Science and Psychiatric Psychologic Disease, Shijiazhuang, China
| | - Zhaoyu Gao
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei International Joint Research Center for Brain Science, Shijiazhuang, China
- Hebei Key Laboratory of Brain Science and Psychiatric Psychologic Disease, Shijiazhuang, China
| | - Lei Jiang
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei International Joint Research Center for Brain Science, Shijiazhuang, China
- Hebei Key Laboratory of Brain Science and Psychiatric Psychologic Disease, Shijiazhuang, China
| | - Tingting Shen
- Department of Endocrinology and Metabolism, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yingying Guo
- Department of Endocrinology and Metabolism, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Huimin Zhou
- Department of Endocrinology and Metabolism, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| |
Collapse
|
24
|
Zhu W, Zhang H, Niu T, Liu K, Fareeduddin Mohammed Farooqui H, Sun R, Chen X, Yuan Y, Wang S. Microglial SCAP deficiency protects against diabetes-associated cognitive impairment through inhibiting NLRP3 inflammasome-mediated neuroinflammation. Brain Behav Immun 2024; 119:154-170. [PMID: 38570101 DOI: 10.1016/j.bbi.2024.03.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 03/25/2024] [Accepted: 03/30/2024] [Indexed: 04/05/2024] Open
Abstract
Hyperglycemia-induced pathological microglial responses and subsequent neuronal damage are notable characteristics of diabetes-associated cognitive impairment (DACI). Cholesterol accumulation in the brain is a prevalent consequence of diabetes mellitus (DM), exacerbating pathological microglial responses. Regarding disordered glucose and lipid metabolism, the Sterol Regulatory Element-Binding Protein (SREBP) cleavage-activating protein (SCAP), a cholesterol sensor, exhibits increased expression and abnormal translocation from the endoplasmic reticulum to the Golgi, amplifying the inflammatory response. Therefore, we hypothesized that overexpression of microglia-SCAP and cholesterol accumulation in DM mice could induce pathological microglial responses associated with DACI. Our type 2 DM mice model presented an abnormal increase in microglial SCAP expression. The functional loss of microglia-specific SCAP in DM mice improved cognitive impairment, neuronal synaptic plasticity deficits, and abnormal microglial responses. Mechanistically, the accumulated SCAP directly bound to and enhanced the activation of the microglial-specific inflammatory amplifier, NLRP3 inflammasome, in Golgi, thereby increasing pathological microglial responses and promoting neuronal damage. These findings indicate an important regulatory axis of microglial responses from SCAP to the NLRP3 inflammasome pathway in microglia. These underscore the crosstalk between cholesterol disorders and pathological microglial responses, offering a promising avenue for pharmaceutical interventions in DACI.
Collapse
Affiliation(s)
- Wenwen Zhu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Haoqiang Zhang
- Department of Endocrinology, Center for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Tong Niu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Kunyu Liu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Huzaifa Fareeduddin Mohammed Farooqui
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Ruoyu Sun
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Xiu Chen
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China; School of Medicine, Southeast University, Nanjing 210009, China
| | - Yang Yuan
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China.
| | - Shaohua Wang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China.
| |
Collapse
|
25
|
Liu S, Chen H, He XD, Yang XO. Glucometabolic-Related Genes as Diagnostic Biomarkers and Therapeutic Targets for Alzheimer's Disease and Type 2 Diabetes Mellitus: A Bioinformatics Analysis. Neurol Res Int 2024; 2024:5200222. [PMID: 38595695 PMCID: PMC11003797 DOI: 10.1155/2024/5200222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 01/26/2024] [Accepted: 02/24/2024] [Indexed: 04/11/2024] Open
Abstract
Background Alzheimer's disease (AD) and type 2 diabetes mellitus (T2DM) are two widespread chronic disorders characterized by shared risk factors and molecular pathways. Glucose metabolism, pivotal for cellular homeostasis and energy supply, plays a critical role in these diseases. Its disturbance has been linked to the pathogenesis of both AD and T2DM. However, a comprehensive investigation into the specific roles of glucometabolic genes in the onset and progression of AD and T2DM has yet to be conducted. Methods By analyzing microarray datasets from the Gene Expression Omnibus (GEO) repository, we identified differentially expressed glucometabolic genes (DEGs) in AD and T2DM cohorts. A range of bioinformatics tools were employed for functional annotation, pathway enrichment, protein interaction network construction, module analysis, ROC curve assessment, correlation matrix construction, gene set enrichment analysis, and gene-drug interaction mapping of these DEGs. Key genes were further validated using quantitative real-time polymerase chain reaction (qRT-PCR) in AD and T2DM murine models. Results Our investigation identified 41 glucometabolic-related DEGs, with six prominent genes (G6PD, PKM, ENO3, PFKL, PGD, and TALDO1) being common in both AD and T2DM cohorts. These genes play crucial roles in metabolic pathways including glycolysis, pentose phosphate pathway, and amino sugar metabolism. Their diagnostic potential was highlighted by area under curve (AUC) values exceeding 0.6 for AD and 0.8 for T2DM. Further analysis explored the interactions, pathway enrichments, regulatory mechanisms, and potential drug interactions of these key genes. In the AD murine model, quantitative real-time polymerase chain reaction (qRT-PCR) analysis revealed significant upregulation of G6pd, Eno3, and Taldo1. Similarly, in the T2DM murine model, elevated expression levels of G6pd, Pfkl, Eno3, and Pgd were observed. Conclusion Our rigorous research sheds light on the molecular interconnections between AD and T2DM from a glucometabolic perspective, revealing new opportunities for pharmacological innovation and therapeutic approaches. This study appears to be the first to extensively investigate glucometabolic-associated DEGs and key genes in both AD and T2DM, utilizing multiple datasets. These insights are set to enhance our understanding of the complex pathophysiology underlying these widespread chronic diseases.
Collapse
Affiliation(s)
- Shuo Liu
- The Fourth People's Hospital of Shenyang, Shenyang, Liaoning Province, China
| | - He Chen
- The Fourth People's Hospital of Shenyang, Shenyang, Liaoning Province, China
| | - Xiao-Dong He
- The Fourth People's Hospital of Shenyang, Shenyang, Liaoning Province, China
| | - Xiao-Ou Yang
- The Fourth People's Hospital of Shenyang, Shenyang, Liaoning Province, China
| |
Collapse
|
26
|
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.
Collapse
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
| |
Collapse
|
27
|
Kruger DF, Isaacs D, Hughes L, Miller E, Bailey TS. Opportunities to overcome underutilization of enhanced insulin delivery technologies in people with type 2 diabetes: a narrative review. Postgrad Med 2024; 136:246-254. [PMID: 38497381 DOI: 10.1080/00325481.2024.2331417] [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: 08/16/2023] [Accepted: 03/06/2024] [Indexed: 03/19/2024]
Abstract
Use of innovative technologies such as continuous glucose monitoring (CGM) and insulin delivery systems have been shown to be safe and effective in helping patients with diabetes achieve significantly improved glycemic outcomes compared to their previous therapies. However, these technologies are underutilized in many primary care practices. This narrative review discusses some of the clinical and economic benefits of tubeless insulin delivery devices and discusses how this technology can overcome the main obstacles inherent to use of conventional insulin delivery devices.
Collapse
Affiliation(s)
- Davida F Kruger
- Division of Endocrinology, Diabetes, Bone & Mineral, Henry Ford Health System, Detroit, MI, USA
| | - Diana Isaacs
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Lucille Hughes
- Diabetes Education and Program Design, Catholic Health, Melville, NY, USA
| | - Eden Miller
- Endocrinology and Metabolism Institute, Diabetes and Obesity Care LLC, Bend, OR, USA
| | - Timothy S Bailey
- Endocrinology and Metabolism Institute, AMCR Institute, Escondido, CA, USA
| |
Collapse
|
28
|
Cukierman-Yaffe T, Ramasundarahettige C, Bosch J, Gerstein HC. Effect of basal insulin and omega 3 fatty acids on cognitive impairment in dysglycaemia: An exploratory analysis of the ORIGIN trial. Diabetes Obes Metab 2024; 26:1180-1187. [PMID: 38204215 DOI: 10.1111/dom.15412] [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: 07/12/2023] [Revised: 12/03/2023] [Accepted: 12/04/2023] [Indexed: 01/12/2024]
Abstract
AIM The outcomes reduction with an initial glargine intervention (ORIGIN) trial reported that, allocation to insulin glargine-mediated normoglycaemia versus standard care, and to omega 3 fatty acids versus placebo had a neutral effect on cognitive test scores when analysed as continuous variables. Analyses of these scores as standardized categorical variables using a previously validated strategy may yield different results. MATERIALS AND METHODS The ORIGIN trial recruited participants with dysglycaemia and additional cardiovascular risk factors from 573 sites in 40 countries. They completed a mini mental state examination and a subset completed the digit symbol substitution test at baseline and up to three subsequent visits. The effect of the interventions on country-standardized substantive cognitive impairment, defined as the first occurrence of a baseline-adjusted follow-up mini mental state examination or digit symbol substitution test score ≥1.5 standard deviations below the baseline mean score in each participant's country was assessed using Cox proportional hazards models. RESULTS During a median follow-up of 6.2 years, 2627 of 11 682 people (22.5%) developed country-standardized substantive cognitive impairment. The hazard of this outcome was reduced by 9% (hazard ratio 0.91, 95% confidence interval 0.85, 0.99; p = .023) in participants assigned to insulin glargine (21.6%) versus standard care (23.3%). Conversely, the hazard of this outcome was not affected by assignment to omega 3 fatty acid versus placebo (hazard ratio 0.93, 95% confidence interval 0.86, 1.01; p = .074). CONCLUSIONS In this post hoc exploratory analysis, insulin glargine-mediated normoglycaemia but not omega 3 fatty acids reduced the hazard of substantive cognitive impairment in people with dysglycaemia and additional cardiovascular risk factors.
Collapse
Affiliation(s)
- Tali Cukierman-Yaffe
- Division of Endocrinology & Metabolism, Sheba Medical Center, Ramat Gan, Israel
- Epidemiology Department, School of Public Health, Faculty of Medicine, Herczeg Institute of Aging, Tel-Aviv University, Tel Aviv, Israel
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Chinthanie Ramasundarahettige
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
- School of Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Jackie Bosch
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
- School of Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Hertzel C Gerstein
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| |
Collapse
|
29
|
Zhao D, Huang ZK, Liang Y, Li ZJ, Zhang XW, Li KH, Wu H, Zhang XD, Li CS, An D, Sun X, An MX, Shi JX, Bao YJ, Tian L, Wang DF, Wu AH, Chen YH, Zhao WD. Monocytes Release Pro-Cathepsin D to Drive Blood-to-Brain Transcytosis in Diabetes. Circ Res 2024; 134:e17-e33. [PMID: 38420756 DOI: 10.1161/circresaha.123.323622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 02/15/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND Microvascular complications are the major outcome of type 2 diabetes progression, and the underlying mechanism remains to be determined. METHODS High-throughput RNA sequencing was performed using human monocyte samples from controls and diabetes. The transgenic mice expressing human CTSD (cathepsin D) in the monocytes was constructed using CD68 promoter. In vivo 2-photon imaging, behavioral tests, immunofluorescence, transmission electron microscopy, Western blot analysis, vascular leakage assay, and single-cell RNA sequencing were performed to clarify the phenotype and elucidate the molecular mechanism. RESULTS Monocytes expressed high-level CTSD in patients with type 2 diabetes. The transgenic mice expressing human CTSD in the monocytes showed increased brain microvascular permeability resembling the diabetic microvascular phenotype, accompanied by cognitive deficit. Mechanistically, the monocytes release nonenzymatic pro-CTSD to upregulate caveolin expression in brain endothelium triggering caveolae-mediated transcytosis, without affecting the paracellular route of brain microvasculature. The circulating pro-CTSD activated the caveolae-mediated transcytosis in brain endothelial cells via its binding with low-density LRP1 (lipoprotein receptor-related protein 1). Importantly, genetic ablation of CTSD in the monocytes exhibited a protective effect against the diabetes-enhanced brain microvascular transcytosis and the diabetes-induced cognitive impairment. CONCLUSIONS These findings uncover the novel role of circulatory pro-CTSD from monocytes in the pathogenesis of cerebral microvascular lesions in diabetes. The circulatory pro-CTSD is a potential target for the intervention of microvascular complications in diabetes.
Collapse
Affiliation(s)
- Dan Zhao
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
- Department of Neurosurgery, the First Affiliated Hospital of China Medical University, Shenyang, China (D.Z., K.-H.L., X.-D.Z., Y.-J.B.)
| | - Zeng-Kang Huang
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Yu Liang
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Zhi-Jun Li
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Xue-Wei Zhang
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Kun-Hang Li
- Department of Neurosurgery, the First Affiliated Hospital of China Medical University, Shenyang, China (D.Z., K.-H.L., X.-D.Z., Y.-J.B.)
| | - Hao Wu
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Xu-Dong Zhang
- Department of Neurosurgery, the First Affiliated Hospital of China Medical University, Shenyang, China (D.Z., K.-H.L., X.-D.Z., Y.-J.B.)
| | - Chen-Sheng Li
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Dong An
- School of Mechanical Engineering, Shenyang Jianzhu University, China (D.A.)
| | - Xue Sun
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Ming-Xin An
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Jun-Xiu Shi
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Yi-Jun Bao
- Department of Neurosurgery, the First Affiliated Hospital of China Medical University, Shenyang, China (D.Z., K.-H.L., X.-D.Z., Y.-J.B.)
| | - Li Tian
- Department of Gerontology (L.T., D.-F.W.), Shengjing Hospital of China Medical University, Shenyang, China
| | - Di-Fei Wang
- Department of Gerontology (L.T., D.-F.W.), Shengjing Hospital of China Medical University, Shenyang, China
| | - An-Hua Wu
- Department of Neurosurgery (A.-H.W.), Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Hua Chen
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| | - Wei-Dong Zhao
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China (D.Z., Z.-K.H., Y.L., Z.-J.L., X.-W.Z., H.W., C.-S.L., X.S., M.-X.A., J.-X.S., Y.-H.C., W.-D.Z.)
| |
Collapse
|
30
|
Kang H, Kim J, Kim M, Kim JH, Roh GS, Kim SK. Prediction model for mild cognitive impairment in patients with type 2 diabetes using the autonomic function test. Neurol Sci 2024:10.1007/s10072-024-07451-6. [PMID: 38520638 DOI: 10.1007/s10072-024-07451-6] [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: 11/07/2023] [Accepted: 03/07/2024] [Indexed: 03/25/2024]
Abstract
OBJECTIVE Type 2 diabetes mellitus (T2DM) is a risk factor for cognitive impairment, and reduced heart rate variability (HRV) has been correlated with cognitive impairment in elderly individuals. This study investigated risk factors and validated a predictive model for mild cognitive impairment (MCI) in patients with T2DM using an autonomic function test. METHODS Patients with T2DM, 50-85 years of age, who attended the diabetes clinic at Gyeongsang National University Hospital between March 2018 and December 2019, were included. A total of 201 patients had been screened; we enrolled 124 patients according to the inclusion and exclusion criteria in this study. Cognitive function was assessed using the Montreal Cognitive Assessment-Korean version (MOCA-K); MCI was defined as a total MOCA-K score ≤ 23. Risk factors for MCI in patients with T2DM, including demographic- and diabetes-related factors, and autonomic function test results, were analyzed. Based on multivariate logistic regression, a nomogram was developed as a prediction model for MCI. RESULTS Thirty-nine of 124 patients were diagnosed with MCI. Age, education, and decreased cardiovagal function were associated with a high risk for MCI, with cardiovagal function exerting the greatest influence. However, diabetes-related factors, such as glycemic control, duration of diabetes, or medications, were not associated with the risk for MCI. The nomogram demonstrated excellent discrimination (area under the curve, 0.832) and was well calibrated. CONCLUSION Approximately one-third of patients had MCI; as such, carefully evaluating cognitive function in elderly T2DM patients with reduced HRV is important to prevent progression to dementia.
Collapse
Affiliation(s)
- Heeyoung Kang
- Department of Neurology, College of Medicine, Institute of Medical Science, Gyeongsang National University Hospital, Gyeongsang National University, Jinju, 52727, Korea
| | - Juhyeon Kim
- Department of Neurology, Gyeongsang National University Hospital, Jinju, Korea
| | - Minkyeong Kim
- Department of Neurology, Gyeongsang National University Hospital, Jinju, Korea
| | - Jin Hyun Kim
- Biomedical Research Institute, Gyeongsang National University Hospital, Jinju, Korea
| | - Gu Seob Roh
- Department of Anatomy, College of Medicine, Institute of Medical Science, Gyeongsang National University, Jinju, Korea
| | - Soo Kyoung Kim
- Department of Internal Medicine, College of Medicine, Institute of Medical Science, Gyeongsang National University Hospital, Gyeongsang National University, Jinju, 52727, Korea.
| |
Collapse
|
31
|
Matz LM, Shah NS, Porterfield L, Stuyck OM, Jochum MD, Kayed R, Taglialatela G, Urban RJ, Buffington SA. Microbial determinants of dementia risk in subjects of Mexican descent with type 2 diabetes living in South Texas. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.20.24304637. [PMID: 38562743 PMCID: PMC10984044 DOI: 10.1101/2024.03.20.24304637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Type 2 diabetes (T2D) is a common forerunner of neurodegeneration and dementia, including Alzheimer's Disease (AD), yet the underlying mechanisms remain unresolved. Individuals of Mexican descent living in South Texas have increased prevalence of comorbid T2D and early onset AD, despite low incidence of the predisposing APOE-e4 variant and an absence of the phenotype among relatives residing in Mexico - suggesting a role for environmental factors in coincident T2D and AD susceptibility. Here, in a small clinical trial, we show dysbiosis of the human gut microbiome could contribute to neuroinflammation and risk for AD in this population. Divergent Gastrointestinal Symptom Rating Scale (GSRS) responses, despite no differences in expressed dietary preferences, provided the first evidence for altered gut microbial ecology among T2D subjects (sT2D) versus population-matched healthy controls (HC). Metataxonomic 16S rRNA sequencing of participant stool revealed a decrease in alpha diversity of sT2D versus HC gut communities and identified BMI as a driver of gut community structure. Linear discriminant analysis effect size (LEfSe) identified a significant decrease in the relative abundance of the short-chain fatty acid-producing taxa Lachnospiraceae, Faecalibacterium, and Alistipes and an increase in pathobionts Escherichia-Shigella, Enterobacter, and Clostridia innocuum among sT2D gut microbiota, as well as differentially abundant gene and metabolic pathways. These results suggest characterization of the gut microbiome of individuals with T2D could identify key actors among "disease state" microbiota which may increase risk for or accelerate the onset of neurodegeneration. Furthermore, they identify candidate microbiome-targeted approaches for prevention and treatment of neuroinflammation in AD.
Collapse
Affiliation(s)
- Lisa M Matz
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
| | - Nisarg S Shah
- Department of Internal Medicine, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Laura Porterfield
- Department of Family Medicine, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
- Sealy Institute for Vaccine Sciences, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Olivia M Stuyck
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA
| | - Michael D Jochum
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA
| | - Rakez Kayed
- Department of Neurology, Mitchell Center for Neurodegenerative Diseases, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Giulio Taglialatela
- Department of Neurology, Mitchell Center for Neurodegenerative Diseases, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Randall J Urban
- Department of Internal Medicine, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Shelly A Buffington
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| |
Collapse
|
32
|
Sun M, Chen WM, Wu SY, Zhang J. Adapted diabetes complications severity index predicts dementia risk in ageing type 2 diabetes mellitus patients. Brain Commun 2024; 6:fcae079. [PMID: 38524154 PMCID: PMC10959489 DOI: 10.1093/braincomms/fcae079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/19/2023] [Accepted: 03/20/2024] [Indexed: 03/26/2024] Open
Abstract
This study investigated the link between the adapted diabetes complication severity index at the time of type 2 diabetes mellitus diagnosis and diabetes-induced dementia risk in elderly patients. Elderly type 2 diabetes mellitus patients (age ≥ 60) were matched using propensity score matching. Cox regression was used to determine dementia hazard ratios; Kaplan-Meier method to assess cumulative incidence. The cohort included 256 214 elderly type 2 diabetes mellitus patients. Adapted diabetes complication severity index ≥ 1 showed higher dementia risk (adjusted hazard ratio: 1.30; 95% confidence interval: 1.27-1.34), increasing by 1.17-fold per adapted diabetes complication severity index point. Dementia risk rose progressively across adapted diabetes complication severity index scores (P < 0.0001). Higher adapted diabetes complication severity index scores at the time of type 2 diabetes mellitus diagnosis elevated dementia risk in elderly patients. Adapted diabetes complication severity index ≥ 1 is linked to increased dementia risk. Adapted diabetes complication severity index evaluation at the time of type 2 diabetes mellitus diagnosis could predict risk, aiding early interventions. Effective diabetes management is crucial for reducing dementia risk in this population.
Collapse
Affiliation(s)
- Mingyang Sun
- Department of Anesthesiology and Perioperative Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Wan-Ming Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, 242, Taiwan
- Artificial Intelligence Development Center, Fu Jen Catholic University, Taipei, 242, Taiwan
| | - Szu-Yuan Wu
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, 242, Taiwan
- Artificial Intelligence Development Center, Fu Jen Catholic University, Taipei, 242, Taiwan
- Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, Asia University, Taichung, 413, Taiwan
- Big Data Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, 265, Taiwan
- Division of Radiation Oncology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, 265, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, 413, Taiwan
- Cancer Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, 265, Taiwan
- Centers for Regional Anesthesia and Pain Medicine, Taipei Municipal Wan Fang Hospital, Taipei Medical University, Taipei, 110, Taiwan
- Department of Management, College of Management, Fo Guang University, Yilan, 262, Taiwan
| | - Jiaqiang Zhang
- Department of Anesthesiology and Perioperative Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, 450052, China
| |
Collapse
|
33
|
Feng L, Gao L. The role of neurovascular coupling dysfunction in cognitive decline of diabetes patients. Front Neurosci 2024; 18:1375908. [PMID: 38576869 PMCID: PMC10991808 DOI: 10.3389/fnins.2024.1375908] [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: 01/24/2024] [Accepted: 03/05/2024] [Indexed: 04/06/2024] Open
Abstract
Neurovascular coupling (NVC) is an important mechanism to ensure adequate blood supply to active neurons in the brain. NVC damage can lead to chronic impairment of neuronal function. Diabetes is characterized by high blood sugar and is considered an important risk factor for cognitive impairment. In this review, we provide fMRI evidence of NVC damage in diabetic patients with cognitive decline. Combined with the exploration of the major mechanisms and signaling pathways of NVC, we discuss the effects of chronic hyperglycemia on the cellular structure of NVC signaling, including key receptors, ion channels, and intercellular connections. Studying these diabetes-related changes in cell structure will help us understand the underlying causes behind diabetes-induced NVC damage and early cognitive decline, ultimately helping to identify the most effective drug targets for treatment.
Collapse
Affiliation(s)
| | - Ling Gao
- Department of Endocrinology, Renmin Hospital of Wuhan University, Wuhan, China
| |
Collapse
|
34
|
Sola T, Sola FM, Jehkonen M. The Effects of Type 2 Diabetes on Cognitive Performance: A Review of Reviews. Int J Behav Med 2024:10.1007/s12529-024-10274-6. [PMID: 38467963 DOI: 10.1007/s12529-024-10274-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2024] [Indexed: 03/13/2024]
Abstract
BACKGROUND Multiple systematic reviews have found that type 2 diabetes is associated with cognitive decrements. However, these reviews are heterogeneous in terms of methodology, quality and results, making it difficult for researchers and clinicians to build an informed overall picture. We therefore conducted a review of systematic reviews on the association between type 2 diabetes and cognitive decrements in relation to healthy controls. METHODS Following a pre-registered research protocol, we searched four major databases. Nine systematic reviews met our inclusion criteria: seven were meta-analyses and two were narrative syntheses. We assessed the risk of bias in each review and reported all effect sizes and confidence intervals obtained. RESULTS Type 2 diabetes was associated with cognitive decrements in all reviews, with small or negligible effect sizes obtained in the largest meta-analyses. The most studied cognitive domains were attention, executive functions, memory, processing speed and working memory. All reviews had methodological issues and were rated as having a high or an unclear risk of bias. CONCLUSIONS Type 2 diabetes appears to be associated with lower cognitive performance in several cognitive domains and in different age groups. However, high-quality meta-analyses on the subject are still needed. Future reviews must follow the PRISMA guidelines and take into account the risk of bias of the original studies through sensitivity analyses and the heterogeneity of the studies by conducting subgroup analyses for example according to age group and disease duration. The meta-analyses that aim to study the entire type 2 diabetes population without excluding severe comorbidities, should assess concept formation and reasoning, construction and motor performance, perception, and verbal functions and language skills in addition to the cognitive domains that have been most frequently analysed in the reviews conducted so far.
Collapse
Affiliation(s)
- Teppo Sola
- Psychology, Tampere University, Tampere, Finland.
- Tampere University Hospital, Tampere, Finland.
| | | | - Mervi Jehkonen
- Psychology, Tampere University, Tampere, Finland
- Tampere University Hospital, Tampere, Finland
| |
Collapse
|
35
|
Fekete M, Lehoczki A, Major D, Fazekas-Pongor V, Csípő T, Tarantini S, Csizmadia Z, Varga JT. Exploring the Influence of Gut-Brain Axis Modulation on Cognitive Health: A Comprehensive Review of Prebiotics, Probiotics, and Symbiotics. Nutrients 2024; 16:789. [PMID: 38542700 PMCID: PMC10975805 DOI: 10.3390/nu16060789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 03/06/2024] [Accepted: 03/08/2024] [Indexed: 04/01/2024] Open
Abstract
Recent research exploring the relationship between the gut and the brain suggests that the condition of the gut microbiota can influence cognitive health. A well-balanced gut microbiota may help reduce inflammation, which is linked to neurodegenerative conditions. Prebiotics, probiotics, and symbiotics are nutritional supplements and functional food components associated with gastrointestinal well-being. The bidirectional communication of the gut-brain axis is essential for maintaining homeostasis, with pre-, pro-, and symbiotics potentially affecting various cognitive functions such as attention, perception, and memory. Numerous studies have consistently shown that incorporating pre-, pro-, and symbiotics into a healthy diet can lead to improvements in cognitive functions and mood. Maintaining a healthy gut microbiota can support optimal cognitive function, which is crucial for disease prevention in our fast-paced, Westernized society. Our results indicate cognitive benefits in healthy older individuals with probiotic supplementation but not in healthy older individuals who have good and adequate levels of physical activity. Additionally, it appears that there are cognitive benefits in patients with mild cognitive impairment and Alzheimer's disease, while mixed results seem to arise in younger and healthier individuals. However, it is important to acknowledge that individual responses may vary, and the use of these dietary supplements should be tailored to each individual's unique health circumstances and needs.
Collapse
Affiliation(s)
- Mónika Fekete
- Department of Public Health, Faculty of Medicine, Semmelweis University, 1089 Budapest, Hungary; (M.F.); (A.L.); (D.M.); (V.F.-P.); (T.C.); (S.T.)
| | - Andrea Lehoczki
- Department of Public Health, Faculty of Medicine, Semmelweis University, 1089 Budapest, Hungary; (M.F.); (A.L.); (D.M.); (V.F.-P.); (T.C.); (S.T.)
- National Institute for Haematology and Infectious Diseases, Department of Haematology and Stem Cell Transplantation, South Pest Central Hospital, 1097 Budapest, Hungary
| | - Dávid Major
- Department of Public Health, Faculty of Medicine, Semmelweis University, 1089 Budapest, Hungary; (M.F.); (A.L.); (D.M.); (V.F.-P.); (T.C.); (S.T.)
| | - Vince Fazekas-Pongor
- Department of Public Health, Faculty of Medicine, Semmelweis University, 1089 Budapest, Hungary; (M.F.); (A.L.); (D.M.); (V.F.-P.); (T.C.); (S.T.)
| | - Tamás Csípő
- Department of Public Health, Faculty of Medicine, Semmelweis University, 1089 Budapest, Hungary; (M.F.); (A.L.); (D.M.); (V.F.-P.); (T.C.); (S.T.)
| | - Stefano Tarantini
- Department of Public Health, Faculty of Medicine, Semmelweis University, 1089 Budapest, Hungary; (M.F.); (A.L.); (D.M.); (V.F.-P.); (T.C.); (S.T.)
- Department of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
- Department of Health Promotion Sciences, College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
- Peggy and Charles Stephenson Oklahoma Cancer Center, Oklahoma City, OK 73104, USA
| | - Zoltán Csizmadia
- Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary;
| | - János Tamás Varga
- Department of Pulmonology, Semmelweis University, 1083 Budapest, Hungary
| |
Collapse
|
36
|
Ding Q, Yu C, Xu X, Hou Y, Miao Y, Yang S, Chen S, Ma X, Zhang Z, Bi Y. Development and Validation of a Risk Score for Mild Cognitive Impairment in Individuals with Type 2 Diabetes in China: A Practical Cognitive Prescreening Tool. Diabetes Metab Syndr Obes 2024; 17:1171-1182. [PMID: 38469108 PMCID: PMC10926865 DOI: 10.2147/dmso.s448321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 02/28/2024] [Indexed: 03/13/2024] Open
Abstract
Aim Numerous evidence suggests that diabetes increases the risk of cognitive impairment. This study aimed to develop and validate a multivariable risk score model to identify mild cognitive impairment (MCI) in patients with type 2 diabetes mellitus (T2DM). Methods This cross-sectional study included 1256 inpatients (age: 57.5 ± 11.2 years) with T2DM in a tertiary care hospital in China. MCI was diagnosed according to the criteria recommended by the National Institute on Aging-Alzheimer's Association Workgroup, and a MoCA score of 19-25 indicated MCI. Participants were randomly allocated into the derivation and validation sets at 7:3 ratio. Logistic regression models were used to identify predictors for MCI in the derivation set. A scoring system based on the predictors' beta coefficient was developed. Predictive ability of the risk score was tested by discrimination and calibration methods. Results Totally 880 (285 with MCI, 32.4%) and 376 (167 with MCI, 33.8%) patients were allocated in the derivation and validation set, respectively. Age, education, HbA1c, self-reported history of severe hypoglycemia, and microvascular disease were identified as predictors for MCI and constituted the risk score. The AUCs (95% CI) of the risk score were 0.751 (0.717, 0.784) in derivation set and 0.776 (0.727, 0.824) in validation set. The risk score showed good apparent calibration of observed and predicted MCI probabilities and was capable of stratifying individuals into 3 risk categories by two cut-off points (low risk: ≤ 3, medium risk: 4-13, and high risk ≥ 14). Conclusion The risk score based on age, education, HbA1c, self-reported history of severe hypoglycemia, and microvascular disease can effectively assess MCI risk in adults with T2DM at different age. It can serve as a practical prescreening tool for early detection of MCI in daily diabetes care.
Collapse
Affiliation(s)
- Qun Ding
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, People’s Republic of China
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
- Department of Endocrinology, the Second People’s Hospital of Lianyungang, Lianyungang, People’s Republic of China
| | - Congcong Yu
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
| | - Xiang Xu
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
| | - Yinjiao Hou
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
| | - Yingwen Miao
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
| | - Sijue Yang
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
| | - Shihua Chen
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
| | - Xuelin Ma
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
| | - Zhou Zhang
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
| | - Yan Bi
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, People’s Republic of China
- Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China
- Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, People’s Republic of China
| |
Collapse
|
37
|
Zhang Q, Hu S, Jin Z, Wang S, Zhang B, Zhao L. Mechanism of traditional Chinese medicine in elderly diabetes mellitus and a systematic review of its clinical application. Front Pharmacol 2024; 15:1339148. [PMID: 38510656 PMCID: PMC10953506 DOI: 10.3389/fphar.2024.1339148] [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: 11/15/2023] [Accepted: 01/31/2024] [Indexed: 03/22/2024] Open
Abstract
Objective: Affected by aging, the elderly diabetes patients have many pathological characteristics different from the young people, including more complications, vascular aging, cognitive impairment, osteoporosis, and sarcopenia. This article will explore their pathogenesis and the mechanism of Traditional Chinese medicine (TCM) intervention, and use the method of systematic review to evaluate the clinical application of TCM in elderly diabetes. Method: Searching for randomized controlled trials (RCTs) published from January 2000 to November 2023 in the following databases: Web of Science, Pubmed, Embase, Cochrane Library, Sinomed, China National Knowledge Internet, Wanfang and VIP. They were evaluated by three subgroups of Traditional Chinese Prescription, Traditional Chinese patent medicines and Traditional Chinese medicine extracts for their common prescriptions, drugs, adverse reactions and the quality of them. Results and Conclusion: TCM has the advantages of multi-target and synergistic treatment in the treatment of elderly diabetes. However, current clinical researches have shortcomings including the inclusion of age criteria and diagnosis of subjects are unclear, imprecise research design, non-standard intervention measures, and its safety needs further exploration. In the future, the diagnosis of elderly people with diabetes needs to be further clarified. Traditional Chinese patent medicines included in the pharmacopoeia can be used to conduct more rigorous RCTs, and then gradually standardize the traditional Chinese medicine prescriptions and traditional Chinese medicine extracts, providing higher level evidence for the treatment of elderly diabetes with traditional Chinese medicine.
Collapse
Affiliation(s)
- Qiqi Zhang
- Institute of Metabolic Diseases, Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Shiwan Hu
- Institute of Metabolic Diseases, Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Zishan Jin
- Institute of Metabolic Diseases, Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Sicheng Wang
- Institute of Metabolic Diseases, Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Boxun Zhang
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Linhua Zhao
- Institute of Metabolic Diseases, Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| |
Collapse
|
38
|
Volpi T, Silvestri E, Aiello M, Lee JJ, Vlassenko AG, Goyal MS, Corbetta M, Bertoldo A. The brain's "dark energy" puzzle: How strongly is glucose metabolism linked to resting-state brain activity? J Cereb Blood Flow Metab 2024:271678X241237974. [PMID: 38443762 DOI: 10.1177/0271678x241237974] [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: 03/07/2024]
Abstract
Brain glucose metabolism, which can be investigated at the macroscale level with [18F]FDG PET, displays significant regional variability for reasons that remain unclear. Some of the functional drivers behind this heterogeneity may be captured by resting-state functional magnetic resonance imaging (rs-fMRI). However, the full extent to which an fMRI-based description of the brain's spontaneous activity can describe local metabolism is unknown. Here, using two multimodal datasets of healthy participants, we built a multivariable multilevel model of functional-metabolic associations, assessing multiple functional features, describing the 1) rs-fMRI signal, 2) hemodynamic response, 3) static and 4) time-varying functional connectivity, as predictors of the human brain's metabolic architecture. The full model was trained on one dataset and tested on the other to assess its reproducibility. We found that functional-metabolic spatial coupling is nonlinear and heterogeneous across the brain, and that local measures of rs-fMRI activity and synchrony are more tightly coupled to local metabolism. In the testing dataset, the degree of functional-metabolic spatial coupling was also related to peripheral metabolism. Overall, although a significant proportion of regional metabolic variability can be described by measures of spontaneous activity, additional efforts are needed to explain the remaining variance in the brain's 'dark energy'.
Collapse
Affiliation(s)
- Tommaso Volpi
- Padova Neuroscience Center, University of Padova, Padova, Italy
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Erica Silvestri
- Department of Information Engineering, University of Padova, Padova, Italy
| | | | - John J Lee
- Neuroimaging Laboratories at the Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Andrei G Vlassenko
- Neuroimaging Laboratories at the Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Manu S Goyal
- Neuroimaging Laboratories at the Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Maurizio Corbetta
- Padova Neuroscience Center, University of Padova, Padova, Italy
- Department of Neuroscience, University of Padova, Padova, Italy
| | - Alessandra Bertoldo
- Padova Neuroscience Center, University of Padova, Padova, Italy
- Department of Information Engineering, University of Padova, Padova, Italy
| |
Collapse
|
39
|
Rosell-Díaz M, Fernández-Real JM. Metformin, Cognitive Function, and Changes in the Gut Microbiome. Endocr Rev 2024; 45:210-226. [PMID: 37603460 PMCID: PMC10911951 DOI: 10.1210/endrev/bnad029] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 08/03/2023] [Accepted: 08/16/2023] [Indexed: 08/23/2023]
Abstract
The decline in cognitive function and the prevalence of neurodegenerative disorders are among the most serious threats to health in old age. The prevalence of dementia has reached 50 million people worldwide and has become a major public health problem. The causes of age-related cognitive impairment are multiple, complex, and difficult to determine. However, type 2 diabetes (T2D) is linked to an enhanced risk of cognitive impairment and dementia. Human studies have shown that patients with T2D exhibit dysbiosis of the gut microbiota. This dysbiosis may contribute to the development of insulin resistance and increased plasma lipopolysaccharide concentrations. Metformin medication mimics some of the benefits of calorie restriction and physical activity, such as greater insulin sensitivity and decreased cholesterol levels, and hence may also have a positive impact on aging in humans. According to recent human investigations, metformin might partially restore gut dysbiosis related to T2D. Likewise, some studies showed that metformin reduced the risk of dementia and improved cognition, although not all studies are concordant. Therefore, this review focused on those human studies describing the effects of metformin on the gut microbiome (specifically the changes in taxonomy, function, and circulating metabolomics), the changes in cognitive function, and their possible bidirectional implications.
Collapse
Affiliation(s)
- Marisel Rosell-Díaz
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, 17007 Girona, Spain
- Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), 17007 Girona, Spain
- CIBERobn Fisiopatología de la Obesidad y Nutrición, 28029 Madrid, Spain
| | - José Manuel Fernández-Real
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, 17007 Girona, Spain
- Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), 17007 Girona, Spain
- CIBERobn Fisiopatología de la Obesidad y Nutrición, 28029 Madrid, Spain
- Department of Medical Sciences, School of Medicine, University of Girona, 17004 Girona, Spain
| |
Collapse
|
40
|
Li Y, Liu X, Zhuang P, Zhang L, Wu Y, Wu S, Zhang Y, Jiao J. Fish oil supplementation and risk of dementia among diabetic patients: a prospective study of 16,061 older patients. J Nutr Health Aging 2024; 28:100176. [PMID: 38341308 DOI: 10.1016/j.jnha.2024.100176] [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: 05/13/2023] [Accepted: 07/12/2023] [Indexed: 02/12/2024]
Abstract
BACKGROUND Although n-3 Polyunsaturated fatty acids (PUFAs) may benefit cognitive performance, the association of n-3 PUFA intake with dementia risk under dysglycemia has not been examined. We aimed to evaluate the relationship between fish oil supplement use or fish consumption and dementia risk among older patients with diabetes. METHOD A total of 16,061 diabetic patients aged over 60 years were followed up in the UK Biobank. Fish oil supplements use (yes or no) was collected by the touch screen questionnaire. The diagnosis of dementia was ascertained by the UK Biobank Outcome Adjudication Group. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) were estimated using Cox proportional hazards models. RESULTS A total of 337 cases of dementia were confirmed after a mean duration of 7.7 years (123,486 person-years) of follow-up. Habitual use of fish oil supplements showed a 24% lower dementia risk among older diabetic patients [HRs (95% CIs): 0.76 (0.60-0.98) (P = 0.031)] compared with non-users. Such inverse association was not modified by the APOE ε4 genotype. However, the consumption of both oily fish (≥2 times/week) and non-oily fish (≥2 times/week) had no significant association with dementia risk (p-trend = 0.271 and p-trend = 0.065) compared with non-consumers. CONCLUSION In summary, fish oil supplementation may play a protective role in cognitive function across all APOE genotypes, while non-oily fish and oily fish consumption have no protective association among older diabetic patients.
Collapse
Affiliation(s)
- Yin Li
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Xiaohui Liu
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Pan Zhuang
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Lange Zhang
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Yuqi Wu
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Shanyun Wu
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Yu Zhang
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Jingjing Jiao
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
| |
Collapse
|
41
|
Ming A, Lorek E, Wall J, Schubert T, Ebert N, Galatzky I, Baum AK, Glanz W, Stober S, Mertens PR. Unveiling peripheral neuropathy and cognitive dysfunction in diabetes: an observational and proof-of-concept study with video games and sensor-equipped insoles. Front Endocrinol (Lausanne) 2024; 15:1310152. [PMID: 38495786 PMCID: PMC10941030 DOI: 10.3389/fendo.2024.1310152] [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: 10/09/2023] [Accepted: 02/13/2024] [Indexed: 03/19/2024] Open
Abstract
Background Proactive screening for cognitive dysfunction (CD) and peripheral neuropathy (PNP) in elderly patients with diabetes mellitus is essential for early intervention, yet clinical examination is time-consuming and prone to bias. Objective We aimed to investigate PNP and CD in a diabetes cohort and explore the possibility of identifying key features linked with the respective conditions by machine learning algorithms applied to data sets obtained in playful games controlled by sensor-equipped insoles. Methods In a cohort of patients diagnosed with diabetes (n=261) aged over 50 years PNP and CD were diagnosed based on complete physical examination (neuropathy symptom and disability scores, and Montreal Cognitive Assessment). In an observational and proof-of-concept study patients performed a 15 min lasting gaming session encompassing tutorials and four video games with 5,244 predefined features. The steering of video games was solely achieved by modulating plantar pressure values, which were measured by sensor-equipped insoles in real-time. Data sets were used to identify key features indicating game performance with correlation regarding CD and PNP findings. Thereby, machine learning models (e.g. gradient boosting and lasso and elastic-net regularized generalized linear models) were set up to distinguish patients in the different groups. Results PNP was diagnosed in 59% (n=153), CD in 34% (n=89) of participants, and 23% (n=61) suffered from both conditions. Multivariable regression analyses suggested that PNP was positively associated with CD in patients with diabetes (adjusted odds ratio = 1.95; 95% confidence interval: 1.03-3.76; P=0.04). Predictive game features were identified that significantly correlated with CD (n=59), PNP (n=40), or both (n=59). These features allowed to set up classification models that were enriched by individual risk profiles (i.e. gender, age, weight, BMI, diabetes type, and diabetes duration). The obtained models yielded good predictive performance with the area under the receiver-operating-characteristic curves reaching 0.95 for CD without PNP, 0.83 for PNP without CD, and 0.84 for CD and PNP combined. Conclusions The video game-based assessment was able to categorize patients with CD and/or PNP with high accuracy. Future studies with larger cohorts are needed to validate these results and potentially enhance the discriminative power of video games.
Collapse
Affiliation(s)
- Antao Ming
- University Clinic for Nephrology and Hypertension, Diabetology and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Elisabeth Lorek
- University Clinic for Nephrology and Hypertension, Diabetology and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Janina Wall
- University Clinic for Nephrology and Hypertension, Diabetology and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Tanja Schubert
- University Clinic for Nephrology and Hypertension, Diabetology and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Nils Ebert
- University Clinic for Nephrology and Hypertension, Diabetology and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Imke Galatzky
- University Clinic for Neurology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Anne-Katrin Baum
- University Clinic for Neurology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Wenzel Glanz
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Sebastian Stober
- Artificial Intelligence Lab, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Peter R. Mertens
- University Clinic for Nephrology and Hypertension, Diabetology and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| |
Collapse
|
42
|
Yao W, Zhang Q, Zhao Y, Xu X, Zhang S, Wang X. Tangzhiqing decoction attenuates cognitive dysfunction of mice with type 2 diabetes by regulating AMPK/mTOR autophagy signaling pathway. JOURNAL OF ETHNOPHARMACOLOGY 2024; 321:117536. [PMID: 38056539 DOI: 10.1016/j.jep.2023.117536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/18/2023] [Accepted: 11/28/2023] [Indexed: 12/08/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Tangzhiqing decoction (TZQD) is an effective prescription developed by Jiangsu Province Hospital of Chinese Medicine for the treatment of diabetes mellitus (DM) and its complications, which has a clear cerebral protective effect on mice with diabetic cognitive dysfunction, but its specific mechanism has not been well elucidated. AIMS OF THE STUDY This study aims to verify the protection of TZQD on cognitive function in mice with type 2 diabetes mellitus (T2DM) and explore the possible underlying mechanisms. MATERIALS AND METHODS Six active ingredients in TZQD were detected using high-performance liquid chromatography analysis. In vivo experiments, the protection of TZQD on cognitive function and hippocampal neurons in type 2 diabetes mice was verified to obtain the optimal intervention dose of TZQD. TZQD and 3-methyladenine (3 MA) respectively or jointly intervened in mice with T2DM for 12 weeks, followed by detecting the cognitive difference, hippocampus cornu ammonis 1 (CA1) region injury, and hippocampal neuronal apoptosis in each group. Simultaneously, the investigation of autophagosome formation and organelle impairment in hippocampal neurons, along with the examination of AMPK/mTOR pathway proteins and autophagy-related proteins, was conducted to elucidate the potential mechanisms, through which TZQD modulates autophagy and enhances cognitive function. In vitro experiments, TZQD-containing serum and AMPK inhibitor Compound C (CC) were used to intervene in mouse hippocampal neuron HT22 cells under high glucose environment, further clarifying the regulatory role of TZQD on the AMPK/mTOR pathway and its impact on HT22 cell apoptosis and autophagy. RESULTS In vivo experiment results showed that TZQD had an obvious hypoglycemic effect. Different doses of TZQD could improve cognitive function and hippocampus damage in diabetes mice, with the middle dose of TZQD showing the best effect. TZQD increased the swimming speed of diabetes mice, improved their spatial recognition and memory ability, and reduced hippocampal neuronal apoptosis, Nissl body injury, and p-tau217 protein deposition. In addition, through transmission electron microscopy (TEM), immunofluorescence, and Western blot (WB) detection, TZQD significantly improved the organelle damage of hippocampal neurons in diabetes mice, promoted the formation of autophagy lysosomes, increased the expression of autophagy-related proteins like Beclin 1, LC3II/LC3I, LAMP1, and LAMP2, reduced the level of P62 and promoted autophagy flow, which, however, were all significantly weakened by 3 MA. Meanwhile, TZQD regulated the expressions of AMPK/mTOR pathway proteins. In vitro experimental study results showed that TZQD can regulate the expression ratio of p-AMPK/AMPK alpha 1 and p-mTOR/mTOR in HT22 cells under high glucose conditions and improved the morphology and vitality of HT22 cells. By employing techniques such as monodansylcadaverine (MDC) staining, Lysosomal red fluorescent probe staining, and Annexin V-FITC/PI double staining, the investigation revealed that TZQD administration resulted in enhanced autophagosome formation, preservation of a lysosomal acidic milieu, and consequent mitigation of HT22 cell apoptosis under high glucose conditions. CONCLUSIONS TZQD can regulate the AMPK/mTOR pathway to activate autophagy to attenuate hippocampal neuronal apoptosis, thereby protecting cognitive function in diabetic mice.
Collapse
Affiliation(s)
- Wenqiang Yao
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210046, China; Endocrine Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Qing Zhang
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210046, China; Endocrine Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Yun Zhao
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210046, China
| | - Xiru Xu
- Geriatric Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Shu Zhang
- Endocrine Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Xu Wang
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210046, China; Endocrine Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
| |
Collapse
|
43
|
Gunawan PY, Gunawan PA, Hariyanto TI. Risk of Dementia in Patients with Diabetes Using Sodium-Glucose Transporter 2 Inhibitors (SGLT2i): A Systematic Review, Meta-Analysis, and Meta-Regression. Diabetes Ther 2024; 15:663-675. [PMID: 38340279 PMCID: PMC10942948 DOI: 10.1007/s13300-024-01538-1] [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: 11/17/2023] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
INTRODUCTION Dementia is quite prevalent and among the leading causes of death worldwide. According to earlier research, diabetes may increase the possibility of developing dementia. However, the association between antidiabetic agents and dementia is not yet clear. This investigation examines the association between the use of sodium-glucose transporter 2 inhibitors (SGLT2i) and the risk of dementia in patients with diabetes. METHODS Up to April 18, 2023, four databases-Europe PMC, Medline, Scopus, and Cochrane Library-were searched for relevant literature. We included all studies that examine dementia risk in adults with diabetes who use SGLT2i. Random-effect models were used to compute the outcomes in this investigation, producing pooled odds ratios (OR) with 95% confidence intervals (CI). RESULTS Pooled data from seven observational studies revealed that SGLT2i use was linked to a lower risk of dementia in people with diabetes (OR 0.45, 95% CI 0.34-0.61; p < 0.00001, I2 = 97%). The reduction in the risk of dementia due to SGLT2i's neuroprotective effect was only significantly affected by dyslipidemia (p = 0.0004), but not by sample size (p = 0.2954), study duration (p = 0.0908), age (p = 0.0805), sex (p = 0.5058), hypertension (p = 0.0609), cardiovascular disease (p = 0.1619), or stroke (p = 0.2734). CONCLUSIONS According to this research, taking SGLT2i reduces the incidence of dementia in people with diabetes by having a beneficial neuroprotective impact. Randomized controlled trials (RCTs) are still required in order to verify the findings of our research.
Collapse
Affiliation(s)
- Pricilla Yani Gunawan
- Department of Neurology, Faculty of Medicine, Pelita Harapan University, Boulevard Jendral Sudirman Street, Karawaci, Tangerang, 15811, Indonesia.
| | - Paskalis Andrew Gunawan
- Division of Geriatric Medicine, Department of Internal Medicine, Faculty of Medicine, Tarumanegara University, Jakarta, 11440, Indonesia
| | | |
Collapse
|
44
|
Pipatpiboon N, Sripetchwandee J, Koonrungsesomboon N, Bawornthip P, Bressington D. Establishing the feasibility and preliminary efficacy of a health belief model based educational training program on health belief perceptions and dementia-preventive behaviors in people with type 2 diabetes. Nurs Health Sci 2024; 26:e13081. [PMID: 38356012 DOI: 10.1111/nhs.13081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 10/05/2023] [Accepted: 12/18/2023] [Indexed: 02/16/2024]
Abstract
This quasi-experimental study evaluated feasibility and preliminary efficacy of dementia-preventive educational training intervention program based on the health belief model for improving perceived health beliefs and dementia-preventive behaviors among people with type 2 diabetes mellitus. Two community hospitals with 72 eligible participants were chosen from 12 local institutions using simple random sampling method. One hospital (22 patients) was allocated to dementia-preventive educational training intervention, and the other hospital (23 patients) was allocated to control intervention (using simple random sampling). Primary study outcome was feasibility, and secondary outcomes were changes in dementia prevention behaviors and health belief perceptions. Recruitment rate was 62.5% (45/72) and 22 patients in each group totally completed outcome measures and attended sessions, indicating feasibility of the intervention and study design. There were no significant differences between groups at baseline. After training, participants in the intervention group had significantly higher scores than control group in prevention behaviors and perceptions of health beliefs. The intervention group experienced significant with-group changes in outcomes. Results show that conducting a subsequent fully powered experimental study is feasible, and the intervention has promising efficacy.
Collapse
Affiliation(s)
- Noppamas Pipatpiboon
- Department of Public Health, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand
| | - Jirapas Sripetchwandee
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
- Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nut Koonrungsesomboon
- Department of Pharmacology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Pataporn Bawornthip
- Department of Public Health, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand
| | - Daniel Bressington
- Department of Public Health, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand
- Faculty of Health, Charles Darwin University, Casuarina, Northern Territory, Australia
| |
Collapse
|
45
|
Lenzi J, Messina R, Rosa S, Iommi M, Rucci P, Pia Fantini M, Di Bartolo P. A multi-state analysis of disease trajectories and mental health transitions in patients with type 2 diabetes: A population-based retrospective cohort study utilizing health administrative data. Diabetes Res Clin Pract 2024; 209:111561. [PMID: 38325659 DOI: 10.1016/j.diabres.2024.111561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/25/2024] [Accepted: 01/30/2024] [Indexed: 02/09/2024]
Abstract
AIMS To investigate the risk of major depression and dementia in patients with type 2 diabetes, including dementia resulting from depression, and their impact on diabetes-related complications and mortality. METHODS We conducted a population-based retrospective cohort study including 11,441 incident cases of diabetes in 2015-2017, with follow-up until 2022. A multi-state survival analysis was performed on a seven-state model with 15 transitions to capture disease progression and onset of mental disorders. RESULTS Eight-year probabilities of depression, dementia, diabetes-related complications, and death were 9.7% (95% CI 8.7-10.7), 0.9% (95% CI 0.5-1.3), 10.4% (95% CI 9.5-11.4), and 14.8% (95% CI 13.9-15.7), respectively. Depression increased the risk of dementia up to 3.7% (95% CI 2.0-5.4), and up to 10.3% (95% CI 0.3-20.4) if coupled with diabetes complications. Eight-year mortality was 37.5% (95% CI 33.1-42.0) after depression, 74.1% (95% CI 63.7-84.5) after depression plus complications, 76.4% (95% CI 68.8-83.9) after dementia, and 98.6% (95% CI 96.1-100.0) after dementia plus complications. CONCLUSIONS The interconnections observed across depression, dementia, complications, and mortality underscore the necessity for comprehensive and integrated approaches in managing diabetes. Early screening for depression, followed by timely and targeted interventions, may mitigate the risk of dementia and improve diabetes prognosis.
Collapse
Affiliation(s)
- Jacopo Lenzi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Rossella Messina
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
| | - Simona Rosa
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Marica Iommi
- Department of Biomedical Sciences and Public Health, Marche Polytechnic University, Ancona, Italy
| | - Paola Rucci
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Maria Pia Fantini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Paolo Di Bartolo
- Diabetes Unit, Local Healthcare Authority of Romagna, Ravenna, Italy
| |
Collapse
|
46
|
Bettinetti-Luque M, Trujillo-Estrada L, Garcia-Fuentes E, Andreo-Lopez J, Sanchez-Varo R, Garrido-Sánchez L, Gómez-Mediavilla Á, López MG, Garcia-Caballero M, Gutierrez A, Baglietto-Vargas D. Adipose tissue as a therapeutic target for vascular damage in Alzheimer's disease. Br J Pharmacol 2024; 181:840-878. [PMID: 37706346 DOI: 10.1111/bph.16243] [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: 03/31/2023] [Revised: 08/11/2023] [Accepted: 09/01/2023] [Indexed: 09/15/2023] Open
Abstract
Adipose tissue has recently been recognized as an important endocrine organ that plays a crucial role in energy metabolism and in the immune response in many metabolic tissues. With this regard, emerging evidence indicates that an important crosstalk exists between the adipose tissue and the brain. However, the contribution of adipose tissue to the development of age-related diseases, including Alzheimer's disease, remains poorly defined. New studies suggest that the adipose tissue modulates brain function through a range of endogenous biologically active factors known as adipokines, which can cross the blood-brain barrier to reach the target areas in the brain or to regulate the function of the blood-brain barrier. In this review, we discuss the effects of several adipokines on the physiology of the blood-brain barrier, their contribution to the development of Alzheimer's disease and their therapeutic potential. LINKED ARTICLES: This article is part of a themed issue From Alzheimer's Disease to Vascular Dementia: Different Roads Leading to Cognitive Decline. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v181.6/issuetoc.
Collapse
Affiliation(s)
- Miriam Bettinetti-Luque
- Departamento de Biología Celular, Genética y Fisiología, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
| | - Laura Trujillo-Estrada
- Departamento de Biología Celular, Genética y Fisiología, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
- CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Eduardo Garcia-Fuentes
- Unidad de Gestión Clínica Aparato Digestivo, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Málaga, Spain
- CIBER de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain
| | - Juana Andreo-Lopez
- Departamento de Biología Celular, Genética y Fisiología, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
| | - Raquel Sanchez-Varo
- Departamento de Biología Celular, Genética y Fisiología, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
- CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Departamento de Fisiología Humana, Histología Humana, Anatomía Patológica y Educación Física y Deportiva, Facultad de Medicina, Universidad de Málaga, Málaga, Spain
| | - Lourdes Garrido-Sánchez
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Málaga, Spain
| | - Ángela Gómez-Mediavilla
- Departamento de Farmacología, Facultad de Medicina. Instituto Teófilo Hernando para la I+D de Fármacos, Universidad Autónoma de Madrid, Madrid, Spain
| | - Manuela G López
- Departamento de Farmacología, Facultad de Medicina. Instituto Teófilo Hernando para la I+D de Fármacos, Universidad Autónoma de Madrid, Madrid, Spain
- Instituto de Investigaciones Sanitarias (IIS-IP), Hospital Universitario de la Princesa, Madrid, Spain
| | - Melissa Garcia-Caballero
- Departamento de Biología Molecular y Bioquímica, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
| | - Antonia Gutierrez
- Departamento de Biología Celular, Genética y Fisiología, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
- CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - David Baglietto-Vargas
- Departamento de Biología Celular, Genética y Fisiología, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
- CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| |
Collapse
|
47
|
Zhai L, Yang Y, Zhang J, Hou W, Yang Y, Ding D, Li C, Zhu Y. Association between cognitive dysfunction and diabetes in patients over 65 years old: a cross-sectional study using propensity score matching. J Rehabil Med 2024; 56:jrm18372. [PMID: 38380813 PMCID: PMC10896218 DOI: 10.2340/jrm.v56.18372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/15/2024] [Indexed: 02/22/2024] Open
Abstract
OBJECTIVES To investigate the association between diabetes and cognitive dysfunction in the elderly population, and examine the impact of cognitive dysfunction on level of activities of daily living (ADL) in patients with diabetes. METHODS Data analysis was conducted on 2,951 individuals aged over 65 years from the Chinese Longitudinal Healthy Longevity Survey cohort. Propensity score matching was utilized to mitigate selection bias. Multivariate binary logistic regression was performed to analyse the association between diabetes and cognitive dysfunction in the study subjects. In addition, the relationship between ADL and cognitive function in patients with diabetes was analysed using the Wilcoxon rank-sum test. RESULTS A significant association (p = 0.017) was found between diabetes and the occurrence of cognitive dysfunction in older adults. Subgroup analyses revealed that diabetes patients with cognitive dysfunction exhibited a worse ADL dependence compared with those without cognitive dysfunction (p < 0.001). CONCLUSION These findings indicate that diabetes is associated with cognitive dysfunction in older adults. Meanwhile, there is an association between cognitive impairment and ADL level in subjects with diabetes. As such, healthcare professionals should pay close attention to the occurrence of cognitive dysfunction and ADL decline during diagnosis and treatment, and proactive prevention and intervention strategies should be implemented.
Collapse
Affiliation(s)
- Liwen Zhai
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yao Yang
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Jun Zhang
- Department of Rehabilitation Medicine, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Weiqian Hou
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yujie Yang
- School of Rehabilitation Sciences and Engineering, University of Health and Rehabilitation Sciences, Qingdao, Shandong, China
| | - Dongfang Ding
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Conghui Li
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yi Zhu
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China.
| |
Collapse
|
48
|
Liu X, Zhao Z, Chen D, Zhang Z, Lin X, Shen Z, Lin Q, Fan K, Wang Q, Zhang W, Ou Q. SIRT1 and miR-34a-5p Expression in PBMCs as Potential Biomarkers for Patients With Type 2 Diabetes With Cognitive Impairments. J Clin Endocrinol Metab 2024; 109:815-826. [PMID: 37758217 DOI: 10.1210/clinem/dgad562] [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: 06/13/2023] [Revised: 09/18/2023] [Accepted: 09/21/2023] [Indexed: 10/03/2023]
Abstract
CONTEXT Patients with type 2 diabetes mellitus (T2DM) are at significantly increased risk of Alzheimer disease (AD). However, no biomarkers are available for early identification of patients with T2DM with cognitive impairment (T2DM-CI). Mitochondrial dysfunction is linked to AD. Silent Information Regulator 1 (SIRT1), which is responsible for regulating mitochondrial biogenesis, and its related miRNAs were also altered in AD. OBJECTIVE This study aimed to determine whether mitochondrial function in peripheral blood mononuclear cells (PBMCs) of patients with T2DM-CI was altered and if these alterations could be used as biomarkers. METHODS A total of 374 subjects were enrolled, including AD, T2DM-CI, T2DM-nCI (T2DM without cognitive impairment), and healthy controls. The mitochondrial function was determined using a commercial assay kit. The mitochondrial DNA (mtDNA) content, the expression of SIRT1, and selected miRNAs in PBMCs were measured by quantitative polymerase chain reaction. The correlations and diagnostic accuracy were assessed using the Spearman correlation coefficient or receiver operating characteristics analysis, respectively. RESULTS We found significant changes in mitochondrial function in PBMCs of patients with AD compared with controls (all P < .05), which were not found in T2DM-CI. However, mtDNA content and SIRT1 mRNA expression were lower in PBMCs of patients with T2DM-CI, while miR-34a-5p expression was higher than in patients with T2DM-nCI (all P < .05). A combination of SIRT1 and miR-34a-5p demonstrated excellent discrimination between T2DM-CI and T2DM-nCI (area under the curve = 0.793; sensitivity: 80.01%; specificity: 78.46%). Furthermore, correlation analysis revealed a link between miR-34a-5p expression and hyperglycemia in T2DM-CI. CONCLUSION Our findings revealed that there was an alteration of mitochondria at the peripheral level in patients with T2DM-CI. SIRT1 combined with miR-34a-5p in PBMCs performed well in identifying patients with T2DM-CI and may be a promising biomarker.
Collapse
Affiliation(s)
- Xiaofeng Liu
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
- Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Fujian Clinical Research Center for Clinical Immunology Laboratory Test, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
| | - Zhipei Zhao
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
| | - Dengbin Chen
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
| | - Zeqin Zhang
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
| | - Xiaozhen Lin
- Department of Geriatrics, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
| | - Zhanbo Shen
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
| | - Qingwen Lin
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
| | - Kengna Fan
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
| | - Qi Wang
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
| | - Weiqing Zhang
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
| | - Qishui Ou
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
- Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
- Fujian Clinical Research Center for Clinical Immunology Laboratory Test, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
| |
Collapse
|
49
|
Li Y, Dang Q, Shen Y, Guo L, Liu C, Wu D, Fang L, Leng Y, Min W. Therapeutic effects of a walnut-derived peptide on NLRP3 inflammasome activation, synaptic plasticity, and cognitive dysfunction in T2DM mice. Food Funct 2024; 15:2295-2313. [PMID: 38323487 DOI: 10.1039/d3fo05076a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
NLRP3 inflammasome activation plays a key role in the development of diabetes-induced cognitive impairment. However, strategies to inhibit NLRP3 inflammasome activation remain elusive. Herein, we evaluated the impact of a walnut-derived peptide, TWLPLPR (TW-7), on cognitive impairment in high-fat diet/streptozotocin-induced type 2 diabetes mellitus (T2DM) mice and explored its underlying mechanisms in high glucose-induced HT-22 cells. In the Morris water maze test, TW-7 alleviated cognitive deficits in mice; this was confirmed at the level of synaptic structure and dendritic spine density in the mouse hippocampus using transmission electron microscopy and Golgi staining. TW-7 increased the expression of synaptic plasticity-related proteins and suppressed the NEK7/NLRP3 inflammatory pathway, as determined by western blotting and immunofluorescence analysis. The mechanism of action of TW-7 was verified in an HT-22 cell model of high glucose-induced insulin resistance. Collectively, TW-7 could regulate T2DM neuroinflammation and synaptic function-induced cognitive impairment by inhibiting NLRP3 inflammasome activation and improving synaptic plasticity.
Collapse
Affiliation(s)
- Yanru Li
- College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, P. R. China.
| | - Qiao Dang
- College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, P. R. China.
| | - Yue Shen
- College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, P. R. China.
| | - Linxin Guo
- College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, P. R. China.
| | - Chunlei Liu
- College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, P. R. China.
| | - Dan Wu
- College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, P. R. China.
| | - Li Fang
- College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, P. R. China.
| | - Yue Leng
- College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, P. R. China.
| | - Weihong Min
- College of Food and Health, Zhejiang A & F University, Hangzhou 311300, P.R. China.
- National Grain Industry (High-Quality Rice Storage in Temperate and Humid Region) Technology Innovation Center, Hangzhou 311300, China
| |
Collapse
|
50
|
AlHarkan K, Sultana N, Al Mulhim N, AlAbdulKader AM, Alsafwani N, Barnawi M, Alasqah K, Bazuhair A, Alhalwah Z, Bokhamseen D, Aljameel SS, Alamri S, Alqurashi Y, Ghamdi KA. Artificial intelligence approaches for early detection of neurocognitive disorders among older adults. Front Comput Neurosci 2024; 18:1307305. [PMID: 38444404 PMCID: PMC10913197 DOI: 10.3389/fncom.2024.1307305] [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: 10/04/2023] [Accepted: 01/29/2024] [Indexed: 03/07/2024] Open
Abstract
Introduction Dementia is one of the major global health issues among the aging population, characterized clinically by a progressive decline in higher cognitive functions. This paper aims to apply various artificial intelligence (AI) approaches to detect patients with mild cognitive impairment (MCI) or dementia accurately. Methods Quantitative research was conducted to address the objective of this study using randomly selected 343 Saudi patients. The Chi-square test was conducted to determine the association of the patient's cognitive function with various features, including demographical and medical history. Two widely used AI algorithms, logistic regression and support vector machine (SVM), were used for detecting cognitive decline. This study also assessed patients' cognitive function based on gender and developed the predicting models for males and females separately. Results Fifty four percent of patients have normal cognitive function, 34% have MCI, and 12% have dementia. The prediction accuracies for all the developed models are greater than 71%, indicating good prediction capability. However, the developed SVM models performed the best, with an accuracy of 93.3% for all patients, 94.4% for males only, and 95.5% for females only. The top 10 significant predictors based on the developed SVM model are education, bedtime, taking pills for chronic pain, diabetes, stroke, gender, chronic pains, coronary artery diseases, and wake-up time. Conclusion The results of this study emphasize the higher accuracy and reliability of the proposed methods in cognitive decline prediction that health practitioners can use for the early detection of dementia. This research can also stipulate substantial direction and supportive intuitions for scholars to enhance their understanding of crucial research, emerging trends, and new developments in future cognitive decline studies.
Collapse
Affiliation(s)
- Khalid AlHarkan
- Department of Family and Community Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Nahid Sultana
- Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Noura Al Mulhim
- Department of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Assim M. AlAbdulKader
- Department of Family and Community Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Noor Alsafwani
- Department of Pathology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Marwah Barnawi
- Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Khulud Alasqah
- Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Anhar Bazuhair
- Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Zainab Alhalwah
- Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Dina Bokhamseen
- Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Sumayh S. Aljameel
- Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Sultan Alamri
- Department of Family Medicine, College of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Yousef Alqurashi
- Respiratory Care Department, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Kholoud Al Ghamdi
- Department of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| |
Collapse
|