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Ye XW, Zhang HX, Li Q, Li CS, Zhao CJ, Xia LJ, Ren HM, Wang XX, Yang C, Wang YJ, Jiang SL, Xu XF, Li XR. Scientometric analysis and historical review of diabetic encephalopathy research: Trends and hotspots (2004-2023). World J Diabetes 2025; 16:91200. [DOI: 10.4239/wjd.v16.i5.91200] [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: 01/03/2024] [Revised: 12/18/2024] [Accepted: 02/20/2025] [Indexed: 04/25/2025] Open
Abstract
BACKGROUND Diabetic encephalopathy (DE) is a common and serious complication of diabetes that can cause death in many patients and significantly affects the lives of individuals and society. Multiple studies investigating the pathogenesis of DE have been reported. However, few studies have focused on scientometric analysis of DE.
AIM To analyze literature on DE using scientometrics to provide a comprehensive picture of research directions and progress in this field.
METHODS We reviewed studies on DE or cognitive impairment published between 2004 and 2023. The latter were used to identify the most frequent keywords in the keyword analysis and explore the hotspots and trends of DE.
RESULTS Scientometric analysis revealed 1308 research papers on DE, a number that increased annually over the past 20 years, and that the primary topics explored were domain distribution, knowledge structure, evolution, and emergence of research topics related to DE. The inducing factors, comorbidities, pathogenesis, treatment, and animal models of DE help clarify its occurrence, development, and treatment. An increasing number of studies on DE may be a result of the recent increase in patients with diabetes, unhealthy lifestyles, and unhealthy eating habits, which have aggravated the incidence of this disease.
CONCLUSION We identified the main inducing factors and comorbidities of DE, though other complex factors undoubtedly increase social and economic burdens. These findings provide vital references for future studies.
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Affiliation(s)
- Xian-Wen Ye
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
- School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, Jiangxi Province, China
| | - Hai-Xia Zhang
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Qian Li
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Chun-Shuai Li
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
- School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, Jiangxi Province, China
| | - Chong-Jun Zhao
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Liang-Jing Xia
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Hong-Min Ren
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Xu-Xing Wang
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Chao Yang
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Yu-Jie Wang
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Shui-Lan Jiang
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Xin-Fang Xu
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Xiang-Ri Li
- Traditional Chinese Medicine Processing Technology Inheritance Base of the National Administration of Traditional Chinese Medicine/Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
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Li Z, Long C, Tao J, Peng X, Jiang YY, Yue R. Didang decoction improves gut microbiota and cognitive function in TDACD rats: Combined proteomics and 16S rRNA sequencing. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2025; 142:156758. [PMID: 40252433 DOI: 10.1016/j.phymed.2025.156758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2024] [Revised: 03/29/2025] [Accepted: 04/10/2025] [Indexed: 04/21/2025]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) significantly elevates the risk of cognitive impairment. Didang Decoction (DDD), a classical Traditional Chinese Medicine (TCM) formula, has shown promise in alleviating diabetic symptoms and improving cognitive performance. Although historical TCM records suggest neuroprotective properties, the mechanistic basis for DDD's therapeutic effects on T2DM-associated cognitive dysfunction (TDACD) remains unexplored. PURPOSE This work sought to clarify the chemical composition and mechanisms of action of DDD by pursuing three primary objectives: (1) identification of the major active constituents of DDD; (2) validating of the hypothesis that DDD ameliorates TDACD via regulation of the gut microbiota; and (3) investigating DDD's regulatory effects on hippocampal lipid metabolism and autophagy pathways. METHODS Ultra-high performance liquid chromatography-Q exactive mass spectrometry (UHPLC-QE-MS/MS) was employed to analyze the chemical composition of DDD. Cognitive function was assessed through behavioral tests. Histopathological examinations and western blotting (WB) were conducted to assess the effects of DDD on the hippocampus of TDACD rats. 16S ribosomal RNA (16S rRNA) sequencing was conducted to characterize gut microbiota, composition, and proteomics was used to evaluate hippocampal proteins expression. RESULTS The major bioactive components of DDD were identified, including dihydrotanshinone I, aloe-emodin, chrysophanol, calycosin, sakuranetin, gallic acid, kaempferol, and rhein, emodin, etc. DDD increased neuronal density and synaptic function in the hippocampus of TDACD rats, hereby improving working memory and long-term memory. DDD boosted the relative abundance of beneficial bacteria, including Roseburia, [Eubacterium] coprostanoligenes group, Christensenellaceae R-7 group, and Alistipes, which were diminished in the TDACD group. Proteomics analysis indicated that DDD enhanced hippocampal energy metabolism and reduced neuronal damage in TDACD rats via pathways related to cholesterol and fatty acid metabolism, as well as autophagy. CONCLUSIONS DDD demonstrates potential as an adjuvant therapeutic agent for TDACD, with dual benefits in ameliorating glucose metabolism and cognitive impairments. Mechanistically, the neuroprotective effects of DDD are attributed to the regulation of hippocampal lipid energy metabolism and autophagic homeostasis, as well as the enhancement of beneficial gut microbes.
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Affiliation(s)
- Zihan Li
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China; Clinical Medical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Caiyi Long
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China; Clinical Medical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiajing Tao
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China; Clinical Medical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xi Peng
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China; Clinical Medical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ya-Yi Jiang
- Department of Geriatric Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Rensong Yue
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China; Clinical Medical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
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Martin SS, Aday AW, Allen NB, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Bansal N, Beaton AZ, Commodore-Mensah Y, Currie ME, Elkind MSV, Fan W, Generoso G, Gibbs BB, Heard DG, Hiremath S, Johansen MC, Kazi DS, Ko D, Leppert MH, Magnani JW, Michos ED, Mussolino ME, Parikh NI, Perman SM, Rezk-Hanna M, Roth GA, Shah NS, Springer MV, St-Onge MP, Thacker EL, Urbut SM, Van Spall HGC, Voeks JH, Whelton SP, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2025; 151:e41-e660. [PMID: 39866113 DOI: 10.1161/cir.0000000000001303] [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] [Indexed: 01/28/2025]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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ElSayed NA, McCoy RG, Aleppo G, Bajaj M, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Cusi K, Echouffo-Tcheugui JB, Ekhlaspour L, Fleming TK, Garg R, Khunti K, Lal R, Levin SR, Lingvay I, Matfin G, Napoli N, Pandya N, Parish SJ, Pekas EJ, Pilla SJ, Pirih FQ, Polsky S, Segal AR, Jeffrie Seley J, Stanton RC, Verduzco-Gutierrez M, Younossi ZM, Bannuru RR. 4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S59-S85. [PMID: 39651988 PMCID: PMC11635044 DOI: 10.2337/dc25-s004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
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Simachew A, Getnet A, Minwuyelet F, Mitiku HZ, Kebede W, Bizuneh FK, Tiruneh BG, Tsegaye D. Neurocognitive impairment and its associated factors among patients with diabetes mellitus who have follow up at referral hospital in Northwest, Ethiopia. Front Endocrinol (Lausanne) 2024; 15:1459585. [PMID: 39659614 PMCID: PMC11628274 DOI: 10.3389/fendo.2024.1459585] [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: 07/04/2024] [Accepted: 11/06/2024] [Indexed: 12/12/2024] Open
Abstract
Background Neurocognitive impairment is a condition that makes it difficult for a person to make decisions that affect memory, learning new things, concentration on daily activities, and can range from mild to severe forms. It is a major health problem, less known and less addressed complication of diabetes mellitus. Objectives The aim of the study is to assess prevalence of neurocognitive impairment and associated factors among diabetic mellitus patients. Methods We conducted an institutional-based cross-sectional study involving 512 diabetic patients under follow-up at XXX Specialized Hospital from March 1 to April 30, 2023. Data on cognition, behavior, and depression were collected using standardized tools, including the Mini Mental State Examination for cognition, the CAGE assessment tool for alcohol-related behavior, and the PHQ-9 for depression. These assessments were conducted through face-to-face interviews and chart reviews. A diagnosis of diabetes is confirmed in adults when fasting blood glucose levels exceed 126 mg/dl in three consecutive follow-up measurements. Data entry was performed using Epidata version 4.6, and analysis was conducted using SPSS version 26. Variables with a P-value < 0.25 in bivariate analysis were included in multivariable logistic regression. Statistical significance was set at P ≤ 0.05 with a 95% CI. Results were presented using tables, graphs, and descriptive text. Results The prevalence of neurocognitive impairment among diabetic patients at XXX Comprehensive Specialized Hospital was 28.3% [95% CI: 24.57-32.39]. Factors associated with this impairment included being female (AOR=2.29 [95% CI: 1.43-3.67]), rural residence (AOR=3.16 [95% CI: 2.01-4.95]), comorbidity (AOR=3.30 [95% CI: 2.08-5.23]), diabetes duration of 6-10 years (AOR=1.72 [95% CI: 1.01-2.94]), diabetes duration >10 years, and blood sugar level >126 mg/dl (AOR=2.25 [95% CI: 1.42-3.57]). Patients are encouraged to adhere to proper medication regimens to effectively control their blood glucose levels. This study found a high prevalence of neurocognitive impairment (NCI) among diabetic patients, affecting about one-fourth based on MMSE scores. Key risk factors identified include female gender, rural residence, comorbidities, longer duration of diabetes, and elevated blood glucose levels.
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Affiliation(s)
- Arefaynie Simachew
- Debre Markos Comprehensive Specialized Hospital, Debre Markos, Amhara, Ethiopia
| | - Asmamaw Getnet
- Department of Nursing, College of Health and Medicine, Debre Markos University, Debre Marqos, Ethiopia
| | - Fentahun Minwuyelet
- Department of Nursing, College of Health and Medicine, Debre Markos University, Debre Marqos, Ethiopia
| | - Haymanot Zeleke Mitiku
- Department of Nursing, College of Health and Medicine, Debre Markos University, Debre Marqos, Ethiopia
| | - Worku Misganaw Kebede
- Department of Nursing, College of Health and Medicine, Debre Markos University, Debre Marqos, Ethiopia
| | - Fassikaw Kebede Bizuneh
- Department of Public Health, College of Health and Medicine, Debre Markos University, Debre Markos, Ethiopia
| | - Bekele Getenet Tiruneh
- Department of Critical Care and Emergency Medicine, College of Health and Medicine, Debre Markos University, Debre Markos, Ethiopia
| | - Dejen Tsegaye
- Department of Nursing, College of Health and Medicine, Debre Markos University, Debre Marqos, Ethiopia
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Lu JC, Lee P, Ierino F, MacIsaac RJ, Ekinci E, O’Neal D. Challenges of Glycemic Control in People With Diabetes and Advanced Kidney Disease and the Potential of Automated Insulin Delivery. J Diabetes Sci Technol 2024; 18:1500-1508. [PMID: 37162092 PMCID: PMC11531035 DOI: 10.1177/19322968231174040] [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] [Indexed: 05/11/2023]
Abstract
Diabetes is the leading cause of chronic kidney disease (CKD) and end-stage kidney disease in the world. It is known that maintaining optimal glycemic control can slow the progression of CKD. However, the failing kidney impacts glucose and insulin metabolism and contributes to increased glucose variability. Conventional methods of insulin delivery are not well equipped to adapt to this increased glycemic lability. Automated insulin delivery (AID) has been established as an effective treatment in patients with type 1 diabetes mellitus, and there is emerging evidence for their use in type 2 diabetes mellitus. However, few studies have examined their role in diabetes with concurrent advanced CKD. We discuss the potential benefits and challenges of AID use in patients with diabetes and advanced CKD, including those on dialysis.
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Affiliation(s)
- Jean C. Lu
- Department of Medicine, St Vincent’s Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
| | - Petrova Lee
- Department of Nephrology, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
| | - Francesco Ierino
- Department of Medicine, St Vincent’s Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Nephrology, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
- St Vincent’s Institute of Medical Research, Fitzroy, VIC, Australia
| | - Richard J. MacIsaac
- Department of Medicine, St Vincent’s Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
| | - Elif Ekinci
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
- Department of Endocrinology and Diabetes, Austin Health, Heidelberg, VIC, Australia
- Department of Medicine, Austin Hospital, The University of Melbourne, Heidelberg, VIC, Australia
| | - David O’Neal
- Department of Medicine, St Vincent’s Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent’s Hospital Melbourne, Fitzroy, VIC, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
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de Galan BE. Diabetes and brain disorders, a new role for insulin? Neurosci Biobehav Rev 2024; 163:105775. [PMID: 38901787 DOI: 10.1016/j.neubiorev.2024.105775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/10/2024] [Accepted: 06/17/2024] [Indexed: 06/22/2024]
Affiliation(s)
- Bastiaan E de Galan
- Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands; Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 699] [Impact Index Per Article: 699.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Kuate Defo A, Bakula V, Pisaturo A, Labos C, Wing SS, Daskalopoulou SS. Diabetes, antidiabetic medications and risk of dementia: A systematic umbrella review and meta-analysis. Diabetes Obes Metab 2024; 26:441-462. [PMID: 37869901 DOI: 10.1111/dom.15331] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 09/12/2023] [Accepted: 09/29/2023] [Indexed: 10/24/2023]
Abstract
AIMS The objective of this umbrella review and meta-analysis was to evaluate the effect of diabetes on risk of dementia, as well as the mitigating effect of antidiabetic treatments. MATERIALS AND METHODS We conducted a systematic umbrella review on diabetes and its treatment, and a meta-analysis focusing on treatment. We searched MEDLINE/PubMed, Embase, PsycINFO, CINAHL and the Cochrane Library for systematic reviews and meta-analyses assessing the risk of cognitive decline/dementia in individuals with diabetes until 2 July 2023. We conducted random-effects meta-analyses to obtain risk ratios and 95% confidence intervals estimating the association of metformin, thiazolidinediones, pioglitazone, dipeptidyl peptidase-4 inhibitors, α-glucosidase inhibitors, meglitinides, insulin, sulphonylureas, glucagon-like peptide-1 receptor agonists (GLP1RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT2is) with risk of dementia from cohort/case-control studies. The subgroups analysed included country and world region. Risk of bias was assessed with the AMSTAR tool and Newcastle-Ottawa Scale. RESULTS We included 100 reviews and 27 cohort/case-control studies (N = 3 046 661). Metformin, thiazolidinediones, pioglitazone, GLP1RAs and SGLT2is were associated with significant reduction in risk of dementia. When studies examining metformin were divided by country, the only significant effect was for the United States. Moreover, the effect of metformin was significant in Western but not Eastern populations. No significant effect was observed for dipeptidyl peptidase-4 inhibitors, α-glucosidase inhibitors, or insulin, while meglitinides and sulphonylureas were associated with increased risk. CONCLUSIONS Metformin, thiazolidinediones, pioglitazone, GLP1RAs and SGLT2is were associated with reduced risk of dementia. More longitudinal studies aimed at determining their relative benefit in different populations should be conducted.
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Affiliation(s)
- Alvin Kuate Defo
- Vascular Health Unit, Research Institute of the McGill University Health Centre, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Veselko Bakula
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | | | - Christopher Labos
- Vascular Health Unit, Research Institute of the McGill University Health Centre, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Simon S Wing
- Division of Endocrinology & Metabolism, Department of Medicine, McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Stella S Daskalopoulou
- Vascular Health Unit, Research Institute of the McGill University Health Centre, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Division of Internal Medicine, Department of Medicine, McGill University Health Centre, McGill University, Montreal, Quebec, Canada
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10
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Cusi K, Ekhlaspour L, Fleming TK, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Napoli N, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Verduzco-Gutierrez M, Younossi ZM, Gabbay RA. 4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S52-S76. [PMID: 38078591 PMCID: PMC10725809 DOI: 10.2337/dc24-s004] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Wang D, Yan B, Wang A, Sun Q, Pang J, Cui Y, Tian G. Tu-Xian Decoction ameliorates diabetic cognitive impairment by inhibiting DAPK-1. Chin J Nat Med 2023; 21:950-960. [PMID: 38143108 DOI: 10.1016/s1875-5364(23)60428-5] [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: 03/20/2023] [Indexed: 12/26/2023]
Abstract
Tu-Xian decoction (TXD), a traditional Chinese medicine (TCM) formula, has been frequently administered to manage diabetic cognitive impairment (DCI). Despite its widespread use, the mechanisms underlying TXD's protective effects on DCI have yet to be fully elucidated. As a significant regulator in neurodegenerative conditions, death-associated protein kinase-1 (DAPK-1) serves as a focus for understanding the action of TXD. This study was designed to whether TXD mediates its beneficial outcomes by inhibiting DAPK-1. To this end, a diabetic model was established using Sprague-Dawley (SD) rats through a high-fat, high-sugar (HFHS) diet regimen, followed by streptozotocin (STZ) injection. The experimental cohort was stratified into six groups: Control, Diabetic, TC-DAPK6, high-dose TXD, medium-dose TXD, and low-dose TXD groups. Following a 12-week treatment period, various assessments-including blood glucose levels, body weight measurements, Morris water maze (MWM) testing for cognitive function, brain magnetic resonance imaging (MRI), and histological analyses using hematoxylin-eosin (H&E), and Nissl staining-were conducted. Protein expression in the hippocampus was quantified through Western blotting analysis. The results revealed that TXD significantly improved spatial learning and memory abilities, and preserved hippocampal structure in diabetic rats. Importantly, TXD administration led to a down-regulation of proteins indicative of neurological damage and suppressed DAPK-1 activity within the hippocampal region. These results underscore TXD's potential in mitigating DCIvia DAPK-1 inhibition, positioning it as a viable therapeutic candidate for addressing this condition. Further investigation into TXD's molecular mechanisms may elucidate new pathways for the treatment of DCI.
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Affiliation(s)
- Danyang Wang
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Beijing 100730, China; Chinese Academy of Mediucal Sciences & Peking Union Medical College, Beijing 100730, China
| | - Bin Yan
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Beijing 100730, China
| | - An Wang
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Beijing 100730, China; Chinese Academy of Mediucal Sciences & Peking Union Medical College, Beijing 100730, China
| | - Qing Sun
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Beijing 100730, China
| | - Junyi Pang
- Department of Pathology, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Disease, Molecular Pathology Research Center, Beijing 100730, China
| | - Yangming Cui
- Animal Research Laboratory Platform, Peking Union Medical College Hospital, the National Science and Technology Key Infrastructure on Translational Medicine, Beijing 100730, China
| | - Guoqing Tian
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Beijing 100730, China.
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12
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Sakib MN, Ramezan R, Hall PA. Diabetes status and cognitive function in middle-aged and older adults in the Canadian longitudinal study on aging. Front Endocrinol (Lausanne) 2023; 14:1293988. [PMID: 38107512 PMCID: PMC10722407 DOI: 10.3389/fendo.2023.1293988] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/07/2023] [Indexed: 12/19/2023] Open
Abstract
Objectives Diabetes is recognized as a significant risk factor for cognitive impairment. However, this association has not been thoroughly examined using large-scale population-based datasets in the Canadian context. The objective of this study was to investigate the potential association between cognitive function and diabetes in a large population-based sample of middle-aged and older Canadians. Methods We utilized baseline data from the Canadian Longitudinal Study on Aging (N=30,097) to test our hypotheses, using five indicators of cognitive function (animal fluency, Stroop interference, reaction time, immediate and delayed memory recall). We conducted multivariate multivariable linear regression and subsequently performed tests for moderation analysis with lifestyle factors and health status. Results The analysis revealed that type 2 diabetes (T2DM) was associated with lower performance on most cognitive tasks, including those assessing executive function (b=0.60, 95% CI 0.31 to 0.90), reaction time (b=16.94, 95% CI 9.18 to 24.70), immediate memory recall (b=-0.10, 95% CI -0.18 to -0.02), and delayed memory recall (b=-0.12, 95% CI -0.21 to -0.02). However, no significant association was observed between other types of diabetes and cognitive performance. Moderation effects were largely null for T2DM, with the exception of alcohol intake for reaction time, and physical activity for animal fluency. Conclusions The study showed that individuals with T2DM exhibit poor performance on tasks that assess executive function, reaction time, and memory. Therefore, optimizing cognitive health among individuals with T2DM should be a priority in primary care. Additionally, further studies should examine this association using longitudinal data.
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Affiliation(s)
- Mohammad Nazmus Sakib
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON, Canada
| | - Reza Ramezan
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada
| | - Peter A. Hall
- School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON, Canada
- Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, ON, Canada
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada
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13
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Husain KH, Sarhan SF, AlKhalifa HKAA, Buhasan A, Moin ASM, Butler AE. Dementia in Diabetes: The Role of Hypoglycemia. Int J Mol Sci 2023; 24:9846. [PMID: 37372995 DOI: 10.3390/ijms24129846] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 05/25/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
Hypoglycemia, a common consequence of diabetes treatment, is associated with severe morbidity and mortality and has become a major barrier to intensifying antidiabetic therapy. Severe hypoglycemia, defined as abnormally low blood glucose requiring the assistance of another person, is associated with seizures and comas, but even mild hypoglycemia can cause troubling symptoms such as anxiety, palpitations, and confusion. Dementia generally refers to the loss of memory, language, problem-solving, and other cognitive functions, which can interfere with daily life, and there is growing evidence that diabetes is associated with an increased risk of both vascular and non-vascular dementia. Neuroglycopenia resulting from a hypoglycemic episode in diabetic patients can lead to the degeneration of brain cells, with a resultant cognitive decline, leading to dementia. In light of new evidence, a deeper understating of the relationship between hypoglycemia and dementia can help to inform and guide preventative strategies. In this review, we discuss the epidemiology of dementia among patients with diabetes, and the emerging mechanisms thought to underlie the association between hypoglycemia and dementia. Furthermore, we discuss the risks of various pharmacological therapies, emerging therapies to combat hypoglycemia-induced dementia, as well as risk minimization strategies.
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Affiliation(s)
- Khaled Hameed Husain
- School of Medicine, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
| | - Saud Faisal Sarhan
- School of Medicine, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
| | | | - Asal Buhasan
- School of Medicine, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
| | - Abu Saleh Md Moin
- Research Department, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
| | - Alexandra E Butler
- Research Department, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
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14
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Tang X, Wang Y, Simó R, Stehouwer CDA, Zhou JB. The Association Between Diabetes Duration and Domain-Specific Cognitive Impairment: A Population-Based Study. J Alzheimers Dis 2023; 91:1435-1446. [PMID: 36641674 DOI: 10.3233/jad-220972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Diabetes is a risk factor for cognitive impairment, and disease duration is associated with geriatric decline and functional disabilities. OBJECTIVE This study aimed to examine the association of diabetes duration with domain-specific cognitive impairment in elderly. METHODS A total of 3,142 participants from the National Health and Nutrition Examination Survey (NHANES) from the period between 2011 and 2014 were included. We assessed cognitive function using the Digit Symbol Substitution Test (DSST), the CERAD Word Learning (CERAD-WL) test, the CERAD Delayed Recall (CERAD-DR) test and animal fluency (AF) test. RESULTS After adjusting for age, sex, race/ethnicity, education level, and annual household income, we found that diabetes with a duration longer than 20 years were at 3.32-fold increased risk of DSST impairment (OR = 3.32, 95% CI: 1.95 to 5.67), 1.72-fold increased risk of CERAD-WL impairment (OR = 1.72, 95% CI: 1.13 to 2.62), and 1.76-fold increased risk of AF impairment (OR = 1.76, 95% CI: 1.23 to 2.53), compared with those with no diabetes. Associations were generally stronger in women than in men. Participants with diabetes, who were diagnosed at 50-59 years old were at increased risk of DSST impairment, CERAD-WL impairment, CERAD-DR impairment, and AF impairment per 5 years longer duration of diabetes. CONCLUSION Longer diabetes duration was associated with the increased risk of cognitive impairment, especially in processing speed and attention. The presence of chronic kidney disease was associated with the increased risk of DSST impairment.
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Affiliation(s)
- Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ying Wang
- Endocrinology and Metabolism Department, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Rafael Simó
- Endocrinology and Nutrition Department, Hospital Universitari Vall d'Hebron, Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Coen D A Stehouwer
- Department of Internal Medicine and CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jian-Bo Zhou
- Endocrinology and Metabolism Department, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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15
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 2242] [Impact Index Per Article: 1121.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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16
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Li Z, Li S, Xiao Y, Zhong T, Yu X, Wang L. Nutritional intervention for diabetes mellitus with Alzheimer's disease. Front Nutr 2022; 9:1046726. [PMID: 36458172 PMCID: PMC9707640 DOI: 10.3389/fnut.2022.1046726] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 10/31/2022] [Indexed: 01/04/2025] Open
Abstract
The combined disease burden of diabetes mellitus (DM) and Alzheimer's disease (AD) is increasing, and the two diseases share some common pathological changes. However, the pharmacotherapeutic approach to this clinical complexity is limited to symptomatic rather than disease-arresting, with the possible exception of metformin. Whether nutritional intervention might extend or synergize with these effects of metformin is of interest. In particular, dietary patterns with an emphasis on dietary diversity shown to affect cognitive function are of growing interest in a range of food cultural settings. This paper presents the association between diabetes and AD. In addition, the cross-cultural nutritional intervention programs with the potential to mitigate both insulin resistance (IR) and hyperglycemia, together with cognitive impairment are also reviewed. Both dietary patterns and nutritional supplementation showed the effects of improving glycemic control and reducing cognitive decline in diabetes associated with AD, but the intervention specificity remained controversial. Multi-nutrient supplements combined with diverse diets may have preventive and therapeutic potential for DM combined with AD, at least as related to the B vitamin group and folate-dependent homocysteine (Hcy). The nutritional intervention has promise in the prevention and management of DM and AD comorbidities, and more clinical studies would be of nutritional scientific merit.
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Affiliation(s)
| | | | | | | | | | - Ling Wang
- Faculty of Medicine, Macau University of Science and Technology, Macau, China
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17
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Min SH. Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802). Diabetes Metab J 2022; 46:813-814. [PMID: 36193729 PMCID: PMC9532167 DOI: 10.4093/dmj.2022.0259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Affiliation(s)
- Se Hee Min
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Corresponding author: Se Hee Min https://orcid.org/0000-0001-9423-3937 Division of Endocrinology and Metabolism, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpagu, Seoul 05505, Korea E-mail:
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18
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Yang Y, Zhao JJ, Yu XF. Expert Consensus on Cognitive Dysfunction in Diabetes. Curr Med Sci 2022; 42:286-303. [PMID: 35290601 DOI: 10.1007/s11596-022-2549-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/02/2022] [Indexed: 12/14/2022]
Abstract
The incidence of diabetes is gradually increasing in China, and diabetes and associated complications, such as cognitive dysfunction have gained much attention in recent time. However, the concepts, clinical treatment, and prevention of cognitive dysfunction in patients with diabetes remain unclear. The Chinese Society of Endocrinology investigated the current national and overseas situation of cognitive dysfunction associated with diabetes. Based on research both in China and other countries worldwide, the Expert Consensus on Cognitive Dysfunction in Diabetes was established to guide physicians in the comprehensive standardized management of cognitive dysfunction in diabetes and to improve clinical outcomes in Chinese patients. This consensus presents an overview, definition and classification, epidemiology and pathogenesis, risk factors, screening, diagnosis, differential diagnosis, treatment, and prevention of cognitive dysfunction in patients with diabetes.
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Affiliation(s)
- Yan Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jia-Jun Zhao
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 25000, China.
| | - Xue-Feng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Abstract
PURPOSE OF REVIEW Metabolic syndrome (MetS) is a cluster of cardiovascular disease risk factors that are related to several adverse health outcomes, including poor cognitive function. This review seeks to summarize and critically review select recent findings on the association between MetS and cognition. RECENT FINDINGS MetS was associated with lower domain-specific and global cognitive function in most cross-sectional studies, but findings from longitudinal studies are not consistent. The associations varied depending on age, sex, cognitive test, genetic susceptibility, and the duration of follow-up in prospective studies. MetS was associated with a higher risk of mild cognitive impairment (MCI) and progression from MCI to dementia, particularly vascular dementia. Among MetS components, high blood pressure, high waist circumference, and hyperglycemia were the strongest predictors of cognitive function. MetS is associated with higher risk of cognitive impairment. Research is needed on how preventing or treating MetS affects cognition.
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